Rajesh M. Hegde

 Professor (HAG),  IIT Kanpur

Curriculum Vitae

Rajesh Mahanand Hegde                               

Personal Information:  Professor (HAG) , Department of Electrical Engineering, IIT Kanpur

rhegde@iitk.ac.in

http://rajeshmhegde.com

www.linkedin.com/in/rajeshmhegde 7

@rajeshhegde70

  About:  Experienced Professor with a demonstrated history of working in the higher education industry. Skilled in Research and Development (R&D), Mathematical Modeling and Algorithms, Speech Recognition of Indian Languages, Socially Relevant Computing and Communication, AI, ML, Wireless Networks, IoT, Data Analysis, and Teaching UG and PG students. Strong education professional with a Ph.D in Computer Science and Engineering from Indian Institute of Technology, Madras (IITM).

DOB: June 30 1970

Administrative Experience: 

Feb. 2020 – 2023 : Head, Dept. of Electrical Engineering, IIT Kanpur.

Feb. 2020 – Present : Head, Center for Railway Research, IIT Kanpur.

Jul. 2019 – Oct. 2021 : Head, Center for Continuing Education, IIT Kanpur.

Jun. 2019 – Jan. 2020 : Director, IITK Research Technology Park Foundation IIT Kanpur

Jan. 2022 – Present : Member, Governing Body, Technology Innovation Hub, IIT Patna

2015 – 2016 : Chairman, Senate Core Course Committee (SCCC), IIT Kanpur.

2017 – 2018 : Member, Institute Space Planning and Allocation Committee, IIT Kanpur.

2013 – 2015, 2017 : Member, Institute R and D Committee, IIT Kanpur.

2015 – 2016 : Member, Senate Under Graduate Committee, IIT Kanpur.

2012 – 2013 : Member, Senate Academic Program Review Committee, IIT Kanpur.

Professional Experience:

  • 2023 – Present : Dean of Research and Development, Indian Institute of Technology , Dharwad.
  • 2018 – Present : Umang Gupta Chair Professor, Dept. of Electrical Engineering, IIT Kanpur.
  •  2016 – Present : Professor, Dept. of Electrical Engineering, IIT Kanpur.
  • 2012 – 2016 : Associate Professor, Dept. of Electrical Engineering, IIT Kanpur.
  • 2008 – 2012 : Assistant Professor and P.K Kelkar Research Fellow (09-12), Dept. of Electrical Engineering, IIT Kanpur.
  • 2005 – 2008 : Researcher and Lecturer, Dept of Electrical and Computer Engineering, University of California San Diego (UCSD), CA, USA.
  • 2002 – 2005 : Teaching/Research Assistant, Dept. of Computer Science and Engineering, IIT Madras.
  • 1992 – 2002 : Lecturer / Asst. Professor, Dr. Ambedkar Institute of Technology, Bangalore.

Awards:

  • Umang Gupta Chair Professor, Awarded to Select Professors at IIT Kanpur for excellence in their Areas of Research, 2018 – 2021.
  • Outstanding Contributor TRAI Committee on CAS/SMS Standard, Current P.K Kelkar Research Fellow, Awarded to Select Young Faculty at IIT Kanpur for excellence in their Areas of Research, 2009 – 2012.
  • Senior Member IEEE, Awarded to Select Professionals by IEEE, 2017.
  • Exemplary Teacher, Directors Appreciation Letter for student feedback greater than 3.5 on a scale of 4.0, 2009, 2016, and 2017 at IIT Kanpur.
  • Best UG Design Project Mentor, Awarded for mentoring the best undergraduate engineering. design project at Jacobs School of Engineering, UC San Diego, 2005 – 2006.
  • Best Student Paper Award Finalist, NCC 2009, 2014 and SPCOM 2020.
  • Mentor for the Student Team that won First Place in North Zone at DRDO Robotics and Unmanned Systems Exposition (DRUSE), 2005-2006.
  •  ISCA ( International Speech Communication Association ) Grant, INTERSPEECH – ICSLP 2004 at Jeju, S. Korea, 2004.
  •  Karnataka State Govt. (India) Merit Certificate for being ranked among top 100 in X, 1985.

Education:

  • Ph.D in Computer Science and Engineering, 2005, Specialization : Speech Recognition for Indian Languages, Indian Institute of Technology Madras, Chennai : CGPA 8.0/10.0
  • Master of Engg. (M.E). in Electronics Engineering, 1998, BMSCE, Bangalore University Bangalore : CGPA 72 %, First Class.
  • Bachelor of Engg. (B.E.) in IT Engineering, 1992, Govt. BDT College of Engineering, Davanagere, University of Mysore : CGPA 74.2 %, First Class with Distinction.

Teaching:

I have made significant contributions in terms of teaching and developing courses in the areas of Speech Recognition, Statistical Signal Processing, Basic Electronics, and other areas in signal processing, communication, and Learning methods. I have adopted modern teaching methods in all my course. Course websites for some of my courses are available at my home page http:rajeshmhegde.com

Knowledge Dissemination:

I have made significant contributions as Keynote and Invited Speaker for Several FDPs, TEQIP Courses, CEPs organized by NITs and University Colleges in the areas of AI/ML for 5G and future telecom networks, ML for audio processing, Small world Wireless Sensor Networks. have also coordinated MHRD programs like Vigyan Jyoti and Language Programs (Foreign and Sanskrit) among others, as Head of the Center for Continuing Education. Complete List is available at my home page http:rajeshmhegde.com

Selected highlights are below :

  • TPC Co-Chair, WF-IoT 2022, Yokohama, Japan, 2022 Tutorial and Invited Talk on AI for IoT at WF-IoT 2021 along with Prof C Brinton of Purdue and T Zhang of NIST, 2021
  • Keynote Talks at several Conferences and FDPs in India on the Topic of AI/ML for Future Communication Networks in the years 2019, 2020, 2021
  •  Invited Talk on Edge AI at IEEE Winter School on Fog and Edge Computing 2020
  •  General Chair for IEEE Winter School on Fog and Edge Computing 2020 and NCC 2021
  • Coordinator for Vigyan Jyoti, Language Programs (4 Foreign Languages and Sanskrit), IRDT training Programs 2020, and 2021
  • Technical Program Committee Member for Organizing Winter Schools on Speech and Audio Processing WiSSAP 2011, 2012, 2013, 2014, 2015, 2016 conducted at various places in India
  • Organizing Committee Member for Winter School on Speech and Audio Processing (WiSSAP) 2009 at IIT Kanpur
  •  Organizing Committee Member for Series of Workshops on Image and Speech Processing, WISP 2013,2014,and 2015
  •  MOOC on Automatic Speech Recognition as part of AgMOOC (Two times)
  •  MOOC on Text to Speech Synthesis as part of AgMOOC (Two Times)
  • NPTEL Course on Signal Processing Techniques for Speech Recognition Under Development Significant Contribution as Invited Speaker for Several FDPs, TEQIP Courses, CEPs organized by NITs and University Colleges in the areas of Digital Array Processing, Wireless Sensor Networks, IoT, Fog/Edge Computing, and Edge AI

Research Labs Established:

Multi Modal Information Systems Lab : Established with funding from BITCOE, DieTY, DST, Samsung, and LG Soft India. Equipped with state of the art audio-visual arrays, servers, and spatial audio setups. https://mips.rajeshmhegde.com/

Wireless Sensor Networks Lab : Established with Funding from ISRO and Institute Research Funding. Equipped with state of the art NI/Crossbow sensor nodes, gateways, and WSN Software.
https://wsn.rajeshmhegde.com/

Thesis Supervised:

Ph.D Thesis Supervision : Eight (09) Students have graduated, and Seven (07) are Ongoing. Alumni have joined as Faculty in IIT Delhi, Patna, Jammu, and NIT Calicut MTech and M.S (By Research) Thesis : Seventy (70) Completed and Four (04) Ongoing. Guided Several BTech Projects and Under Graduate Projects.

Post Doc Supervision:(One (01)) – Completed

1. Dr. Arun Goel, Spherical Array Processing for Signal Processing and Communication Applications, 2021-2023

Ph. D Thesis Supervision (Twelve (12)) – Completed

1. Lalan Kumar, Microphone Array Processing for Acoustic Source Localization in Spatial and Spherical Harmonics Domain , 2015.
   Post Ph.d : Asst. Professor in EE Dept. at IIT Delhi

2. Karan Nathwani, Spectral Methods for Single and Multi Channel Speech Enhancement in Multi Source Environment, 2015.
   Post Ph.d : Asst. Professor in EE Dept. at IIT Jammu

3. Waquar Ahmad, Acoustic Variability Compensation Methods for i-vector based Speaker Verification, 2015.
   Post Ph.d : Asst. Professor in EE Dept. at NIT Calicut

4. Sudhir Kumar, Node Localization and Tracking using Multi-Sensor Data in Wireless Sensor Networks, 2015.
   Post Ph.d : Asst. Professor in EE Dept. at IIT Patna

5. Sandeep Reddy, Modeling and Analysis of Head Related Transfer Functions for Spatial Audio, 2017
   Post Ph.d : Research Scientist at University of Sheffield, UK / Asst. Professor KLU

6. Omjee Pandey, Small World Models for Development of Wireless Sensor Network Services, 2018
   Post Ph.d : Postdoctoral Fellow at UOS, Canada / Asst. Professor in EE Dept. at SRM University

7. Surender Redhu, Cooperative Data Transmission Models for IoT Networks, 2019
   Post Ph.d : Postdoctoral Fellow at UIA Norway

8. Vishnuvardhan Varanasi, Deep Learning for Acoustic Source Localization in Spherical Harmonic Domain, 2020
   Post Ph.d : Senior Staff Engineer, Data Science, Enphase Energy, Bangalore

9. Ajay Dagar, Multi-Zone Sound Reproduction Methods in Spatial and Spherical Harmonics Domain, 2021
   Post Ph.d : Completed in Jul/Aug 2021

10. Ravindra Yadav, Understanding Multimodal Representation Learning via Latent
Variable Models, 2022 
   Post Ph.d : Senior Staff Engineer, Samsung India Ltd.

11. Gyanajyoti Routray, Sparsity and Learning-based Methods for Spatial Audio
Reproduction in Spherical Harmonics Domain, 2023.

12. Aditya Singh, Cyber Physical Systems, 2024.
Posr Ph.d: Postdoctoral Researcher at Tyndall National Institute.

 

Ph. D Thesis Supervision (Five (05)) – Ongoing

1. Priyadarshini Dwivedi, Spherical Microphone Array Processing, 2019 – Ongoing

2. Shraddha Tripathi, Multichannel Speech Enhancement Method for Multimedia Information Retrieval, 2018 – Ongoing

3. Deepali Kushwaha, Localization in Cognitive Wireless Sensor Networks, 2020 – Ongoing

4. N Mohan Krishna, Simultaneous Localization and Mapping using WSN, 2015 – Ongoing

5. Shubham Dwivedi, Edge/Fog Computing, 2021 – Ongoing

Sponsored Projects:

Ongoing Projects :

1. Center for Railway Research (CRR), Ministry of Railways, Rupees 19.0 Crores, 2020 – No Fixed Time Limit This Major project MoU was signed by the Chairman Railway Board in the presence of the Director IIT Kanpur and Directors of four other IITS, in 2020. Subsequently an amount of Rs 19.0 crores has been sanctioned after submission of new proposal in 2021, for setting up the Center for Railway Research (CRR) to IIT Kanpur. Three projects have been sanctioned by the RDSO Lucknow in 2021, under the CRR which are being coordinated various Faculty in EE/ME at IIT Kanpur.

2. Deep Learning Framework for Robust Source Localization and Tracking using Spherical Arrays, Core Research Grant (CRG), Rs. 50.0 Lakhs, SERB- DST, 2022 – 2024

3. Sparse Framework for Super Resolution Ambisonic Audio Reproduction in Spherical Harmonic Domain, Mathematical Research Impact Centric Support (MATRICS) Scheme, Rs. 6.0 Lakhs, SERB-DST, 2022 – 2025

4. TPQA project for Agra Smart City Limited, ASCL Agra, Rupees 60.50 Lakhs, 2021 – 2022

5. Electronic Device Noise Characterization and Reduction, Samsung Research Institute Delhi, Rupees 25.0 Lakhs, . 2021 – 2022

6. Automatic Speech Recognition for Speech Sub-Titling, Prasar Bharati, Rupees 168.0 Lakhs, 2021 – 2024 (As Co-PI)

Completed Projects :

7. Minimum Phase HRTF Modeling for Spatial Audio Processing, SERB-DST, Rupees Thirty Six (36) Lakhs, 2017-2019

8. Electronic Digitization of Bio Molecules, MHRD, Rupees Twelve (12) Lakhs, 2017-2019 (Collaborative Project with Sanjay Gandhi Post Graduate Medical Institute (SGPGI) Lucknow)

9. Spherical Array for Source Localization and Tracking, SERB-DST, Rupees Thirty-Two (32) Lakhs, 2014-2017

10. Novel Strategies for Node Localization and Tracking in wireless sensor, ISRO – STC, Rupees Thirty Three (33) Lakhs, 2014-2016

11. SMS Compression for Indian Languages (with CDAC Pune, IIT Madras, CeWIT), DieTY, GoI, Rupees Nine Lakhs fifty thousand (9.5) Lakhs, 2014-2016

12. Speech Recognition for Small Vocabularies, Samsung Research Institute, Rupees Eleven Lakhs (11) Lakhs, 2013 -2014

13. Prosodically Guided Phonetic Engine for Indian Languages, DieTY, GoI, Rupees Fifty (50) Lakhs, 2012 – 2015

14. Speech Based Access for Agro commodity Prices in Six Indian Languages, DieTY, GoI, Rupees Fifty Five (55) Lakhs, 2010 -2012

15. Bi-Directional Battery Charging System, Dept. of Science and Technology (DST), Rupees Twenty Three (23) Lakhs, 2010 -2012 (As Co-PI)

16. Service Based Multi media Content Summarization and Delivery in the Indian Context, BSNL Telecom Center of Excellence, Rupees Thirty Five (35) Lakhs, 2008 – 2012

17. Speech Enabled Value Added Services- , BSNL Telecom Center of Excellence, Rupees Seventy Five (25+35+15) Lakhs,Part I, II, III, 2008 -2012

Consultancy Projects:

1. Speech Enhancement techniques, ATC Labs, Rupees Two (02) Lakhs, 2009-2010

2. Audio Analyser, LG Soft India, Rupees Twelve (12) Lakhs, 2014-2015

3. Video Analyser, LG Soft India, Rupees Twelve (12) Lakhs, 2015-2016

4. PAN Photography, LG Soft India, Rupees Twelve (12) Lakhs, 2017-2018

5. Indoor Device Localization, Samsung Research Institute Delhi, Rupees 11.50 Lakhs, 2019-2020

Technology Transfer:

Five technologies have been developed and transferred till date. The technologies have been transferred to Samsung India, BSNL India and LG Soft India. The description of the development and technology transfer in this regard is listed below.

1. Indoor Device Localization

A technology to localize devices using Bluetooth and Wi Fi Signals was developed as part of the project for Samsung Research Institute Delhi. Smart variations like localization using Bluetooth/Wi Fi only along with tracking of these devices with limited information and dead reckoning was developed and transferred to Samsung Research Institute Delhi

2. Image Background blurring

An algorithm and technology for background blurring in images and videos was developed for LG Soft India as part of the project taken up for the same. This technology which works under various lighting conditions and background/foreground movements was transferred to LG Soft India

3. Digital Mandi for the Indian Kisan

Objectives :

  •  To enpower the Indian farmer with information about the price of his produce at the market of his choice
  •  To make mandi price information easily accessible to the Indian farmer on his cell phone
  •  To personalize this information based on the farmer requirement while ensuring very low costs for delivering this information
  •  To make this information available in his/her local language via voice, and SMS.
  •  To thereby economically enpower the farmer for better livelihood

Initiatives :

  • Develop personalized farmer profiles at the ground level in each state with the assistance of DMI Ministry of agriculture, and State Agriculture Marketing Boards.
  •  Deliver the information requested by the farmer in their local language via voice using TTS, and SMS at affordable (or zero) cost with support from the state government.
  •  Query using text for farmers with GPRS enabled phones.
  •  Complete local language support available for for Hindi, Odiya, Punjabi, Marathi, and Kannada.

Impact :

  •  Service was made operational in the States of Haryana ( for 1.7 years) and Odisha (for 7 Months) with support of State AMB.
  • 15000 farmers from Haryana and 22000 farmers from Odisha are currently using the personalized voice and SMS service. Many users also access the GPRS service available on BSNL Live. Positive user feedback received

Additional Information and Technology Transfer :

With this service Indian farmers will be able to know ‘mandi moods’ (rates) sitting on their khats (Cots) and in ‘Chaupals’ with mobile in their hands. This will enable farmers to decide the rate and time of selling their produce. The service is available on inexpensive cell phones ranging from Rs. 1000 – 1500, with SIM cards from any service provider. The service leverages on the extensive reach of cell phone services in rural India, enabling the farmers of remote areas with power of information. Technology developed by IIT Kanpur at the BSNL – IIT Kanpur Telecom Center of Excellence. Union Ministry of Agriculture, Respective State Governments, State Agriculture. Marketing boards, National Informatics Corporation, BSNL, and IIT Kanpur are the stakeholders. Societal inclusion, Citizen centricity, User centricity, and affordable cost are the hallmarks of the service. BSNL will ensure the adherence to citizen charter and play an active role in taking the service to the remotest areas for inclusive development. The technology transfer is is completed to BSNL.

4. Intelligent Video Retrieval

Retrieving video data for the time interval of interest finds applications in numerous fields including education, news, and entertainment. As part of ongoing work at BITCOE an intelligent video retrieval system has been developed for the cell phone. With the advent of 3G services in India which is expected to become cheaper by the day such video retrieval systems can become common place including applications like agricultural information, lecture, meeting, speech viewing being a few of them. In the current system speech Recognition tools are used to extract a time aligned transcript from the video. Important keywords are then recognized from the transcript. These keywords and time of their occurrence is then indexed by the information retrieval system. Video can be searched by the keywords and viewed from where these keywords occur. Currently only a few selected videos can be accessed from the system. A flash enabled 3G cell phone can be used to access this system for optimal performance.

Additional Information and Technology Transfer :

The system was deployed on BSNL LiVE. It received around 200-300 users per day during deployment. The technology transfer has been completed to BSNL

5. Audio and Video Analyzer

Two technologies for content matching in Audio and Video have been developed for LG Soft India Bangalore. The technology has been handed over to LG electronics for integration into Call Center and DTV test bed respectively.

Selected Professional Contributions:

  • Member, TRAI National Committee on SR for DRM , 2022 – Ongoing
  • Member, TRAI National Committee on CAS and SMS standardization and Testing, 2020 – 2021
  • Member, National Working Group (NWG-16) on ITU-T for Multimedia Standards Development 2010 – Present.
  • Member, National Study Group (NSG-6) on ITU-T for Multimedia Standards Development 2018 – Present.
  • Member, Selection Committee of DRDO-RAC.
  • Program Committee Member of WiSSAP Series of Winter Schools on Speech and Audio Processing 2010 – Current.
  • Reviewer for Several IEEE Transactions Journals in the areas of Signal Processing, Communications, AI/ML
  • General Chair, TPC Chair, TPC Member for several Conferences in India and Abroad
  • Advisory and Steering Committee for several National and International Conferences
  • Technical Program Committee Member of INTERSPEECH, EUSIPCO, SPCOM, NCC, and several other International and National Conferences
  • Member, Selection Committee, NIT Surathkal, Karnataka
  • Member, Selection Committee, NIT Nagpur/IIIT Nagpur
  • Member, Selection Committee, BIT Mesra, Ranchi
  • Member, Selection Committees of Various Institutes

 

Books:

3. Karpov, Alexey, K. Samudravijaya, K. T. Deepak, Rajesh M. Hegde, Shyam S. Agrawal, and SR Mahadeva Prasanna, eds. Speech and Computer: 25th International Conference, SPECOM 2023, Dharwad, India, November 29–December 2, 2023, Proceedings, Part II. Vol. 14339. Springer Nature, 2023.

2. Sabu M. Thami, Sri Krishna, Rajesh M.Hegde, “Advances in Signal Processing and Intelligent Recognition Systems“ 6th International Symposium, SIRS 2020, Chennai, India, October 14–17, 2020, Revised Selected Papers
1st ed. 2021

1. Sabu M. Thampi, Rajesh M. Hegde, Sri Krishnan, “Advances in Signal Processing and Intelligent Recognition Systems: 5th International Symposium, SIRS 2019, Trivandrum, India, December 18–21, 2019, Revised Selected Papers
1st ed. 2020

 

Journal Publications:

54. Arun Goel, Rajesh M Hegde “Sparse reconstruction methods for wideband source localization in spherical harmonics domain” Digital Signal Processing Volume 154, 2024, 104701. DOI:
https://doi.org/10.1016/j.dsp.2024.104701

53. Gyanajyoti Routray, Rajesh M. Hegde, “Sparsity-driven loudspeaker gain optimization for sound field reconstruction with spherical microphone array,” Digital Signal Processing, Volume 154, 2024,104688, ISSN 1051-2004. DOI: https://doi.org/10.1016/j.dsp.2024.104688.

52. Aditya Singh, Rahul Rustagi, Rajesh M. Hegde, “Lifetime Improvement in Rechargeable Mobile IoT Networks Using Deep Reinforcement Learning“, IEEE Transactions on Circuits and Systems II: Express Briefs; Impact Factor: 4.4

51. Priyadarshini Dwivedi, Gyanjayoti Routray and Rajesh M. Hegde, “Octant Spherical Harmonics Features for Source Localization using Artificial Intelligence based on Unified Learning Framework”, IEEE Transactions on Artificial Intelligence, 2024,
DOI: 10.1109/TAI.2024.3352530

50. Priyadarshini Dwivedi, Gyanajyoti Routray, Devansh Kumar Jha, and Rajesh M. Hegde, “Improving Source Tracking Accuracy through Learning-Based Estimation Methods in SH Domain: A Comparative Study”, IEEE Transactions on Artificial Intelligence,
2024. DOI: 10.1109/TAI.2024.3355323

49. A. Mishra, Y. Garg, OJ Pandey, M. Shukla, A. Vasilakos, and R. Hegde, “A Novel Resource Management Framework for
Blockchain-Based Federated Learning in IoT Networks,”, IEEE Transactions on Sustainable Computing, Jan. 2024,
DOI: 10.1109/TSUSC.2024.3358915.

48. G. Routray, R. M. Hegde, “Spatial audio reproduction over ad hoc loudspeaker array using near-field compensation in spherical harmonics domain,” Digital Signal Processing, Volume 142, 2023, 104203.
https://doi.org/10.1016/j.dsp.2023.104203

47. S. Tripathi, O. J. Pandey and R. M. Hegde, “Socially Aware Network Clustering for Throughput Maximization in Mobile Wireless Sensor Networks, ” in IEEE Transaction on Network and Service Management,
doi: 10.1109/TNSM.2023.3294616

46. Aditya Singh, Surender Redhu, Baltasar Beferull-Lazano, Rajesh M. Hegde “Network-aware RF-energy harvesting for designing energy efficient IoT networks” in Internet of Things, Volume 22, July 2023, 100770
DoI: https://doi.org/10.1016/j.iot.2023.100770

45.  S. Tripathi, O. J. Pandey and R. M. Hegde, “An Optimal Reflective Elements Grouping Model for RIS-Assisted IoT Networks Using Q-Learning,” in IEEE Transactions on Circuits and Systems II: Express Briefs,
doi: 10.1109/TCSII.2023.3251373.

44. D. Kushwaha, S. Redhu, C. G. Brinton and R. M. Hegde, “Optimal Device Selection in Federated Learning for Resource-Constrained Edge Networks,” in IEEE Internet of Things Journal
(2023).

43. Priyadarshini Dwivedi, Gyanajyoti Routray, and Rajesh M. Hegde , “Learning based method for near field acoustic range estimation in spherical harmonics domain using intensity vectors”, Pattern Recognition Letters, Volume 165, Pages 17-24,(2023)
https ://doi.org/10.1016/j.patrec.2022.11.022

42. Priyadarshini Dwivedi, Gyanajyoti Routray, and Rajesh M. Hegde , “Spherical harmonics domain-based approach for source localization in presence of directional interference”, JASA Express Letters 2, 114802 (2022).  
DOI :https ://doi.org/10.1121/10.0015243

41. S. Tripathi, O. J. Pandey, L. R. Cenkeramaddi and R. M. Hegde, ” A Socially-Aware Radio Map Framework for Improving QoS of UAV-Assisted MEC Networks,” in IEEE Transactions on Network and Service Management, 2022. 
DOI : 10.1109/TNSM.2022.3206473.

40. M. K. Nutalapati, L. Arora, A. Bose, K. Rajawat, and R. M. Hegde, “A generalized framework for autonomous calibration of wheeled mobile robots,” Robotics and Autonomous Systems, 2022.
DOI:https ://doi.org/10.1016/j.robot.2022.104262

39. T . Bose, A. Suresh, O. J. Pandey, L. R. Cenkeramaddi and R. M. Hegde, “Improving Qualityof-Service in Cluster-Based UAV-Assisted Edge Networks,” in IEEE Transactions on Network and Service Management, Jan. 2022, DOI :10.1109/TNSM.2021.3139892.

38. V. Varanasi, H. Gupta and R. M. Hegde, “A Deep Learning Framework for Robust DOA Estimation Using Spherical Harmonic Decomposition,” in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 28, pp. 1248-1259, 2020, DOI : 10.1109/TASLP.2020.2984852.

37. Ajay Dagar, and Rajesh M Hegde, “Spatial Multi-Zone Sound Field Reproduction Using Differential Phase Constraint”, Journal of Acoustical Society of India (JASI) Special Issue on Signal Processing in Acoustics, 2020.

36. O. J. Pandey, V. Gautam, S. Jha, M. K. Shukla and R. M. Hegde, “Time Synchronized Node Localization Using Optimal H-Node Allocation in a Small World WSN”, in IEEE Communications Letters, 2020, DOI : 10.1109/LCOMM.2020.3008086.

35. Surender Redhu, Rajesh M. Hegde, “Optimal relay node selection in time-varying IoT networks using apriori contact pattern information”, Elsevier Ad Hoc Networks,Volume 98, 2020, DOI : https ://doi.org/10.1016/j.adhoc.2019.102065

34. O. J. Pandey, V. Gautam, H. H. Nguyen, M. K. Shukla and R. M. Hegde, “Fault-Resilient Distributed Detection and Estimation Over a SW-WSN Using LCMV Beamforming,” in IEEE Transactions on Network and Service Management, vol. 17, no. 3, pp. 1758-1773, Sept. 2020, DOI : 10.1109/TNSM.2020.2988994.

33. Surender Redhu, and Rajesh M. Hegde, “Cooperative Network Model for Joint Mobile Sink Scheduling and Dynamic Buffer Management using Q-Learning”, IEEE Transactions on Network and Service Management. DOI : 10.1109/TNSM.2020.3002828, June 2020,

32. Surender Redhu, and Rajesh M. Hegde, “Optimal Relay Node Selection in Time-Varying IoT Networks using Apriori Contact Pattern Information”, Elsevier Ad Hoc Networks. DOI : 10.1016/j.adhoc.2019.102065, Dec 2019

31. Vishnuvardhan Varanasi, Ayushya Agarwal, and Rajesh Hegde, “Near-field Acoustic Source Localization using Spherical Harmonic Features”, IEEE/ACM Transactions on Acoustics,Speech and Language Processing. DOI :10.1109/TASLP.2019.2939782, Sep 2019,

30. Surender Redhu, Mayank Anupam, and Rajesh M. Hegde, “Optimal Relay Node Selection for Robust Data Forwarding over Time-Varying IoT Networks”, IEEE Transactions on Vehicular Technology. DOI : 10.1109/TVT.2019.2929856, July 2019

29. Surender Redhu, and Rajesh M Hegde, “Network Lifetime Improvement using LandmarkAssisted Mobile Sink Scheduling for Cyber-Physical System Applications”, Ad Hoc Networks, Elsevier. DOI : 10.1016/j.adhoc.2018.10.029

28. Laxmi Pandey, and Rajesh M. Hegde, “Keyword Spotting in Continuous Speech using Spectral and Prosodic Information Fusion”, Circuits, Systems, and Signal Processing, Springer USA. DOI :10.1007/s00034-018-0990-6, Nov. 2018

27. Om Jee Pandey, and Rajesh M. Hegde, “Low-Latency and Energy-Balanced Data Transmission over Cognitive Small World WSN.” IEEE Transactions on Vehicular Technology, DOI 10.1109/TVT.2018.2839562, May 2018

26. Om Jee Pandey, A Mahajan, and Rajesh M Hegde, “Joint Localization and Data Gathering over Small World WSN with Optimal Data MULE Allocation”, IEEE Transactions on Vehicular Technology, DOI 10.1109/TVT.2018.2805921, Feb. 2018

25. Om Jee Pandey, and Rajesh M Hegde, “Cooperative Localization over Small World WSN using Optimal Allocation of Heterogeneous Nodes.”, IET Wireless Sensor Systems, Feb. 2018

24. Omjee Pandey, and Rajesh M Hegde, “Node Localization over Small World WSNs using Constrained Average Path Length Reduction”, Ad Hoc Networks, Elsevier., DOI : 10.1016/j.adhoc.2017.10.010, Oct. 2017.

23. Om Jee Pandey, Richika Sharan, and Rajesh M Hegde, “Localization in Wireless Sensor Networks Using Visible Light in Non-Line of Sight Conditions”, Wireless Personal Communications, DOI :10.1007/s11277-017-4853-4, Springer USA, Aug. 2017

22. Waquar Ahmad, H. Karnick, and Rajesh M. Hegde, “Client-wise Cohort Set Selection by Combining Speaker- and Phoneme-Specific I-vectors for Speaker Verification “, Multimedia Tools and Applications, Springer, DOI : 10.1007/s11042-017-4723-9, April 2017.

21. Lalan Kumar, and Rajesh M. Hegde, “Near-field Acoustic Source Localization and Beamforming in Spherical Harmonics Domain”, IEEE Transactions on Signal Processing, DOI : 10.1109/TSP.2016.2543201, Apr. 2016.

20. Sudhir Kumar, Rajesh M Hegde, and Niki Trigoni, “Gaussian Process Regression for Fingerprinting based Localization”, Ad Hoc Networks, Elsevier. DOI :10.1016/j.adhoc.2016.07.014, In Press (2016).

19. Sudhir Kumar, and Rajesh M. Hegde, “Multi-Sensor Data Fusion Methods for Indoor Localization under Collinear Ambiguity”, 2015, Elsevier Pervasive and Mobile Computing, DOI : 10.1016/j.pmcj. 2015.09.001, pp. 1-14.

18. Sudhir Kumar, Shriman Tiwari, and Rajesh M. Hegde, “Sensor Node Tracking Using SemiSupervised Hidden Markov Models”, 2015, Ad Hoc Networks, Elsevier. DOI : 10.1016/j.adhoc.2015.04.004.

17. Ayush Jain, Karan Nathwani, and Rajesh M. Hegde, “ Robust Acoustic Echo Cancellation Using KalmanFilter in Double Talk Scenario”, 2015, Speech Communication, Elsevier. DOI : 10.1016/ j.specom.2015.03.002

16. Sudhir Kumar and Rajesh M Hegde, “An Efficient Compartmental Model for Real-Time Node Tracking over Cognitive Wireless Sensor Networks”, 2015, IEEE Transactions on Signal Processing, vol.63, no.7, pp.1712,1725, April1, 2015. DOI : 10.1109/TSP.2015.2399860

15. Lalan Kumar, and Rajesh M Hegde, “Stochastic Cramer-Rao Bound Analysis for DOA Estimation in Spherical Harmonics Domain”, 2015, IEEE Signal Processing Letters. DOI : 10.1109/LSP.2014.238136, Volume 22 , Issue 8, (2015).

14. Rohit Agarwal, Sudhir Kumar, and Rajesh M Hegde, “Algorithms for Crowd Surveillance using Passive Acoustic Sensors over a Multi-Modal Sensor Network”, 2015, IEEE Sensors Journal. DOI : 10.1109/ JSEN.2014.2369474, (2015)

13. Aseem Kushwaha, Sudhir Kumar, and Rajesh M Hegde, “Multi-Sensor Data Fusion Methods For Indoor Activity Recognition Using Temporal Evidence Theory”, 2015, Elsevier Pervasive and Mobile Computing. DOI :10.1016/j.pmcj.2014.10.009. (2015)

12. Karan Nathwani, and Rajesh M. Hegde, “Joint source separation and de reverberation using constrained spectral divergence optimization”, 2015, Elsevier Signal Processing , Vol. 106, pp. 266-281, Jan. 2015.

11. Shivashankar Reddy, Karan Nathwani, and Rajesh M. Hegde, “Probabilistic Detection Methods for Acoustic Surveillance using Audio Histograms”, 2014, Circuits, Systems, and Signal Processing, Springer DOI : 10.1007/s00034-014-9942-y, Vol. 33, pp. 1-16, Dec. 2014.

10. Lalan Kumar and Rajesh M Hegde, “Robust Multi-source Localization over Planar Arrays using Music-Group Delay Spectrum”, 2014, IEEE Transactions on Signal Processing. DOI : 10.1109/ TSP .2014.2337271, Jul. 2014.

09. Karan Nathwani, P. Pandit,Rajesh Hegde, “Group Delay based Methods for Speaker Segregation and its Application in Multimedia Information Retrieval”, 2014, IEEE Transactions on Multimedia, vol.PP, no.99, pp.1,1, 0. DOI : 10.1109/TMM.2013.2247391, Oct 2013.

08. P. Agarwal, A. Kushwah, Lalan Kumar, and Rajesh Hegde, “On The Rapid Prototyping of a Portable Multi media Acquisition System for Intelligent Meeting Capture”, 2013, The Journal of Signal Processing Systems (Impact Factor : 0.672), Springer, 2013. DOI : 10.1007/s11265-013-0801-z, July 2013.

07. Karan Nathwani, Arpit Shukla, Shubham K, and Rajesh Hegde, “An Adaptive Non Reference Anchor Array Framework for Audio Retrieval in Teleconferencing Environment”, 2013, The Journal of Signal Processing Systems, Springer, DOI : 10.1007/s11265-013-0786-7, June 2013.

06. Arpit Mathur, Shankar M Reddy and Rajesh M Hegde, “Significance of Parametric Spectral Ratio Methods in Detection and Recognition of Whispered Speech”, 2012, EURASIP Journal on Advances in Signal Processing, Vol. 2012 :157. doi :10.1186/1687-6180-2012-157, Jul. 2012.

05. D. Kumar, P. Vimal, and Rajesh M. Hegde, “On the Soft Fusion of Probability Mass Functions for Multimodal Speech Processing”, 2011, EURASIP Journal on Advances in Signal Processing, vol. 2011, Article ID 294010, 14 pages, Mar. 2011. DOI : 10.1155/2011/294010.

04. Hegde, Rajesh M. and Kurniawan, Joseph and Rao, Bhaskar D, “On the Design and Prototype Implementation of a Multimodal Situation Aware System”, 2009, IEEE Trans. On Multimedia, 11, 4 (June 2009), 645-657. DOI : http ://dx.doi.org/10.1109/TMM.2009.2017631

03. Rajesh M. Hegde, Hema A. Murthy and Venkata Ramana Rao Gadde, “Significance of The Modified Group Delay Feature in Speech Recognition”, 2007, IEEE Transactions on Audio, Speech and Language Processing, Vol. 15(1), pp. 190-202, Jan 2007.

02. Rajesh M. Hegde, Hema A. Murthy, and Venkata Ramana Rao Gadde, “Significance of Joint Features Derived from The Modified Group Delay Function in Speech Processing”, 2007, EURASIP Journal on Audio, Speech, and Music Processing, Vol. 2007, Article ID 79032, Jan 2007. DOI :10.1155/2007/79032

01. Rajesh M. Hegde and Hema A. Murthy, “Cluster and Intrinsic Dimensionality Analysis of The Modified Group Delay Feature for Speaker Classification”, 2005, Lecture Notes in Computer Science, LNCS 3316, pp. 1172 – 1178, Springer Verlag.

Conference Publications

151. Deepali Kushwaha, Meenal Narkhede, Archana Limaye , Niranjan Pol, and Rajesh M Hegde, “Device Selection for Resource-Efficient Edge Caching in a Federated Learning Framework”, 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025), Hyderabad, India,  Apr. 2025 

150. Aditya Singh, and Rajesh M Hegde, “GEE Maximization in UAV-Aided Mobile IoT Networks Using Deep Reinforcement Learning”, 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025), Hyderabad, India,  Apr. 2025 

149. Priyadarshini Dwivedi, Gyanajyoti Routray, and Rajesh M Hegde, “Sparse Bayesian Integrated CNN framework for Enhanced Acoustic Source Localization”, 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025), Hyderabad, India,  Apr. 2025

148. Deepali Kushwaha and Rajesh M Hegde, “Optimal Device Selection and Resource Allocation in Federated Learning”, 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025), Hyderabad, India,  Apr. 2025

147. S. Dwivedi, T. Sandhan, Om Jee Pandey and Rajesh M. Hegde “ swCNN: A Small World Convolutional Neural Network for Efficient Training,” 27th International Conference on Pattern Recognition (ICPR), Kolkata 2024.

146. S. Tripathi, A. M. Elbir, T. Sandhan, and R. M. Hegde, “Doa Estimation in RIS-Assisted Network via Element Sampling and Sparse Reconstruction,” in 2024 International Conference on 6G Networking (6GNeT), 2024, pp. 1–5

145. S. Tripathi, R. M. Hegde and T. Sandhan, “Anomalous Node Detection in Socially-Aware Mobile IoT Networks Using Q-Learning,” 2024 International Conference on Signal Processing and Communications (SPCOM), Bangalore, India, 2024, pp. 1-5,
doi:10.1109/SPCOM60851.2024.10631577.

144. Roshan Kumar, Om Jee Pandey, and Rajesh M. Hegde “An Unified Data Compression Framework in an IoT Network: Towards Performance Improvement,” IEEE International Conference on Advanced Networks and Telecommunications Systems( IEEE ANTS)

143. S. Dwivedi, T. Sandhan, O. J. Pandey and R. M. Hegde, “Small-World Inspired Neural Network (SW-NN) for an Effective and Accurate Diagnosis of Diabetes,” 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-6
doi: 10.1109/ICCCNT56998.2023.10308170.

142. Deepali Kushwaha, Ananya Mehrotra, and Rajesh M. Hegde, “Data Distribution-Aware Model Aggregation for non-IID Data in a Federated Learning Framework,”  IEEE/IFIP Network Operations and Management Symposium 2024.

141. G. Routray, S. B. Hazare, P. Dwivedi and R. M. Hegde, “CRNN-based spatial active noise control in spherical harmonics domain,” 52nd International Congress and Exposition on Noise Control Engineering (InterNoise 2023), Chiba, Greater Tokyo, Japan, 2023

140. P. Dwivedi, R Rakesh, G. Routray, and R. M. Hegde, “Intelligent sniper localization technique using convolutional neural network,” 52nd International Congress and Exposition on Noise Control Engineering (InterNoise 2023), Chiba, Greater Tokyo, Japan, 2023

139. G. Routray, P. Dwivedi and R. M. Hegde, “Diversity Minimization Technique for Multiple Measurement Vector based Super-resolution Spatial Audio Imaging,” 2023 Forum Acusticum, 10th Convention of the European Acoustics Association, Torin, Italy, 2023.

138. P. Dwivedi, G. Routray, S. B. Hazare and R. M. Hegde, “Learning-based Masking for Reliable Source Localization Interfered by Undesired Directional Noise,” 2023 Forum Acusticum, 10th Convention of the European Acoustics Association, Torin, Italy, 2023.

137. Aditya Singh, Yash Dixit, Rajesh M Hegde, “Information Loss Minimization in FANET-Aided Rechargable IoT Networks using Q-Learning,” 2023 National Conference on Communications (NCC), 2023.

136. Reddy Rakesh, Gyanajyoti Routray, Priyadarshini Dwivedi, Rajesh M Hegde, “Sniper Localization Using Acoustic Signal Processing Based on Time of Arrivals,”2023 National Conference on Communications (NCC), 2023.

135. Priyadarshini Dwivedi, Siddesh B Hazare, Gyanajyoti Routray, Rajesh M Hegde, “Long-Term Temporal Audio Source Localization Using SH-CRNN,”2023 National Conference on Communications (NCC), 2023.

134. Shraddha Tripathi, Om Jee Pandey, and Rajesh M. Hegde, “Optimal Data Transfer over RISAssisted Edge Networks Using Coordinated 3D Beamforming,”2023 National Conference on Communications (NCC), 2023.

133. Priyadarshini Dwivedi, Gyanajyoti Routray, Rajesh M Hegde, “Hybrid SH-CNN-MP Approach for Super Resolution DOA Estimation,” The 56th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, Nov. 2022.

132. Deepali Kushwaha, Surender Redhu, Rajesh M. Hegde, “Low Latency Federated Learning over Wireless Edge Networks via Efficient Bandwidth Allocation,” 8th IEEE World Forum on Internet of Things (WF-IoT), 2022.

131. A. Singh, R. Rustagi, S. Redhu, R. Hegde, “Mobile Energy Transmitter Scheduling in Energy Harvesting IoT Networks using Deep Reinforcement Learning,” 8th IEEE World Forum on Internet of Things (WF-IoT), 2022.

130.Tripathi Shraddha, OJ Pandey, and Rajesh M. Hegde. “Low-latency Data Transfer over SNR Constrained IoT Networks Using Optimal Active RIS Elements : A Q-learning Framework,” 8th IEEE World Forum on Internet of Things (WF-IoT), 2022.

129. Tripathi Shraddha, OJ Pandey, and Rajesh M. Hegde. “Energy-Efficient Data Transfer in Delay-Throughput Constrained Small-World LPWAN Using RISs,” 8th IEEE World Forum on Internet of Things (WF-IoT), 2022.

128. G. Routray, S. Sahu and R. M. Hegde, “Upscaling HOA Signals using Order Recursive Matching Pursuit in Spherical Harmonics Domain,” 2022 International Conference on Signal Processing and Communications (SPCOM), Bangalore, India, 2022, pp. 1-5.

127. P. Dwivedi, G. Routray and R. M. Hegde, “DOA Estimation using Multiclass-SVM in Spherical Harmonics Domain,” 2022 International Conference on Signal Processing and Communications (SPCOM), Bangalore, India, 2022, pp. 1-5.

126. P. Dwivedi,R. P. Gohil, G. Routray, Vishnuvardhan V, and R. M. Hegde, “Joint DOA Estimation in Spherical Harmonics Domain using Low Complexity CNN,” 2022 International Conference on Signal Processing and Communications (SPCOM), Bangalore, India, 2022, pp. 1-5.

125. A. Singh, S. Redhu, and R. M. Hegde, “Energy-Efficient UAV Trajectory Planning in Rechargeable IoT Networks,” 2022 International Conference on Signal Processing and Communications (SPCOM), Bangalore, India, 2022, pp. 1-5.

124. Shraddha Tripathi, Om Jee Pandey, and Rajesh M. Hegde, “Joint Optimization of Network Lifetime and SNRin UAV-Assisted Edge Networks,” 2022 International Conference on Signal Processing and Communications (SPCOM), Bangalore, India, 2022, pp. 1-5.

123. G. Routray, P.Dwivedi, R. P. Gohil, and R. M. Hegde, “Binaural Reproduction of HOA Signal using Temporal Convolutional Networks,” 24th International Congress on Acoustics (ICA),Gyeongju, Korea, 2022.

122. P.Dwivedi, G. Routray, and R. M. Hegde, “Far-field Source Localization in Spherical Harmonics Domain using Acoustic Intensity Vector,” 24th International Congress on Acoustics (ICA),Gyeongju, Korea, 2022.

121. P.Dwivedi, G. Routray, and R. M. Hegde, “Binaural Source Localization in Median Plane using Learning Based Method for Robot Audition,” 24th International Congress on Acoustics (ICA),Gyeongju, Korea, 2022.

120. Shraddha Tripathi ;Om Jee Pandey ;Linga Reddy Cenkeramaddi ;Rajesh M Hegde,“Optimal Active Elements Selection in RIS-Assisted Edge Networks for Improved QoS,” IEEE Sensor Array and Multichannel Signal Processing (SAM) Workshop, Trondheim, Norway, 2022.

119. A. Singh, S. Redhu, and R. M. Hegde, “UAV Altitude Optimization for Efficient Energy Harvesting in IoT Networks,â 2022 IEEE National Conference on Communications (NCC), 2022

118. Ravindra Yadav, Ashish Sardana, Vinay Namboodiri, Rajesh Hegde, ” Learning to Predict Speech in Silent Videos via Audio Visual Analogy”, IEEE- ICASSP 2022, Singapore, May 2022

117. Poorva Sironja, Surender Redhu, Rajesh Hegde, Baltasar Beferull-Lozano, “Cluster-based 3DBeam Power Management in Resource-Constrained Wireless Networks”, 14th International Conference on COMmunication Systems and NETworkS, COMSNETS 2022, January 3 – 8, 2022

116. Raj Prakash Gohil, Gyanajyoti Routray, and Rajesh M. Hegde, “Learning Based Method for Robust DOA Estimation using Co-prime Circular Conformal Microphone Array,” National Conference on Communication (NCC), July 2021

115. Gyanajyoti Routray, Priyadarshini Dwivedi, and Rajesh M. Hegde, “Binaural Reproduction of HOA Signal Using Sparse Multiple Measurement Vector Projections”, National Conference on Communications 2021 (NCC), July 2021

114. Tripathi Shraddha, OJ Pandey, and Rajesh M. Hegde.“Optimal Data Transfer in UAV-Assisted Edge-Networks Using 3D Beamforming.”2021 IEEE National Conference on Communications (NCC). IEEE, July 2021,

113. Yadav, R., Sardana, A., Namboodiri, V., Hegde, R. M., “Bridged Variational Autoencoders for Joint Modeling of Images and Attributes”, in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), June 2021

112. Aditya Singh, Surender Redhu, Rajesh M. Hegde, “Context-Aware RF-Energy Harvesting for IoT Networks”, IEEE World Forum on Internet of Things (WF-IoT), June 2021

111. S. Tripathi, S. Redhu, and R. M. Hegde, “Clustering-assisted 3d beam-forming for throughput maximization in mmwave networks,” 2021 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, June 2021

110. Gyanajyoti Routray and Rajesh M. Hegde, “Sparse Framework for Reproduction of NFCHOA”, The 54th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, Nov. 2020.

109. Ajay Dagar and Rajesh M. Hegde, ” Generating Personal Sound Zones using Directional Loudspeakers”, The 54th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, Nov. 2020.

108. Raj Gohil, Aditya Raikar, Gyanajyoti Routray,and Rajesh Hegde,” Learning Based DOA Estimation in Adverse Acoustic Environment using Co-prime Circular Microphone Array”, 12th Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) , Auckland, New Zealand, Dec. 2020.

107. Ravindra Yadav, Ashish Sardana, Vinay Namboodiri and Rajesh Hegde, “Stochastic Talking Face Generation Using Latent Distribution Matching”, in INTERSPEECH 2020.

106. Yadav, R., Sardana, A., Namboodiri, V., and Hegde, R. M., “Bridged Variational Autoencoders for Joint Modeling of Images and Attributes”, in IEEE Winter Conference on Applications of Computer Vision (pp. 1479-1487).

105. Ajay Dagar, and Rajesh M Hegde, “Sparse Framework for Personal Sound Reproduction with Differential Phase Constraint”, IEEE International Conference on Signal Processing and Comunication (SPCOM 2020) , Bengaluru, India, July 2020.

104. Aditya Srivastava, Gyanajyoti Routray and Rajesh M Hegde,”Spatial HRTF Interpolation using Spectral Phase Constraints”, International Conference on Signal Processing and Communications, (SPCOM 2020) , Bangalore, India. July 2020. (Shortlisted for Best Student Paper Award).

103. Gyanajyoti Routray and Rajesh M Hegde ,”Sparse Plane-wave Decomposition for Upscaling Ambisonic Signals”, International Conference on Signal Processing and Communications,(SPCOM 2020) , Bangalore, India. July 2020.

102. Mamilla sivasankar, R M Hegde, ” Dynamic subarray beamforming for angular superresolution of coherent targets”, International Conference on Signal Processing and Communications, (SPCOM 2020) , Bangalore, India. July 2020.

101. Mamilla sivasankar , R M Hegde, “Subarray Design for multibeam Radars with Clustering Methods “, International Radar Symposium IRS-2020 , Warsaw, Poland, October 2020.

100. Chaitanya Ahuja, Karan Nathwani and Rajesh M. Hegde, “A Complex Matrix Factorization Approach to Joint Modeling of Magnitude and Phase for Source Separation” accepted in 19th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Ajman, UAE, December 2019.

99. Surender Redhu, and Rajesh M. Hegde, “Multi-Sensor Data Fusion for Clustered based Data Aggregation in IoT Applications”, IEEE International Conference on Advanced Networks and Telecommunications Systems, IEEE ANTS, Goa, India 16-19 Dec 2019.

98. N. Mohan Krishna, L. Arora, A. Bose, K. Rajawat, and R. M. Hegde, “Model Free Calibration of Wheeled Robots Using Gaussian Process,” IEEE/RSJ International Conf. on Intelligent Robots and Systems (IROS), Macau, China, Nov., 2019.

97. L. Arora, N. Mohan Krishna, K. Rajawat, and R. M. Hegde, “Automatic Joint Calibration of odometry and sensor parameters,” International Conf. on Advances in Robotics (AIR), July 2019.

96. Gyanajyoti Routray, Sourya Basu, Pranay Baldev, and Rajesh Hegde,”Deep-Sound Field Analysis for Upscaling Ambisonic Signals”, 1st EAA Spatial Audio Signal Processing Symposium (EAA SASP-2019), Paris, France, sep 2019.

95. Ajay Dagar, and Rajesh Hegde, “Multi-Zone Sound Field Reproduction Via Sparse Spherical Harmonic Expansion”, 1st EAA Spatial Audio Signal Processing Symposium (EAA SASP2019), Paris, France, sep 2019.

94. Surender Redhu, and Rajesh M. Hegde, “Low Complexity Landmark-Node Tracing in WSNs using Multi-Agent Random Walks”, ACM 20th International Conference on Distributed Computing and Networking, (ICDCN 2019), Bangalore, India. Jan 2019.

93. Aditya Raikar, Sourya Basu, Rajesh M. Hegde, “Single Channel Joint Dereverberation and Denoising using Deep Priors”, 6th IEEE Global Conference on Signal and Information Processing (GlobalSIP 2018), Anaheim, California, USA, November 26-29, 2018.

92. Aditya Raikar, Sourya Basu, Laxmi Pandey, Rajesh M. Hegde, “Multi Channel Joint Dereverberation and Denoising using Deep Priors” , 15th IEEE India Council International Conference (INDICON 2018), Coimbatore, Tamil Nadu, India, December 15-18, 2018.

91. Surender Redhu, Mukund Maheshwari, Kshitij Yeotikar, and Rajesh M. Hegde, “Joint Data Latency and Packet Loss Optimization for Relay-Node Selection in Time-Varying IoT Networks”, ACM 24th International Conference on Mobile Computing and Networking, (MobiCom 2018), New Delhi, India. Oct 2018

90. Vishnuvardhan Varanasi, Ayushya Agarwal and Rajesh M. Hegde, “Radial Filter Design Using Kaiser Window Polynomials for Speech Source Separation”, International Conference on Signal Processing and Communications, (SPCOM 2018), Bangalore, India. July 2018

89. Gyanajyoti Routray and Rajesh M. Hegde, “Sparsity Based Framework for Spatial Sound Reproduction in Spherical Harmonic Domain”, 2018 26th European Signal Processing Conference (EUSIPCO 2018), Roma, Italy, Sep 2018

88. Vishnuvardhan Varanasi, Ayushya Agarwal and Rajesh M. Hegde, “Radial Filter Design Using Kaiser Window Polynomials for Speech Source Separation”, International Conference on Signal Processing and Communications, (SPCOM 2018), Bangalore, India. July 2018.

87. Ajay Dagar, Satyavolu Sai Nitish and Rajesh Hegde, “Joint Adaptive Impulse Response Estimation and Inverse Filtering For Enhancing In-Car Audio”, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-2018), Calgary, Alberta, Canada, April 2018

86. Surender Redhu, Rahul Mahavar and Rajesh M. Hegde, “Energy-Efficient Wake-Up Radio Protocol using Optimal Sensor-Selection for IoT”, IEEE International Conference on Wireless Communication and Networking, (WCNC 2018), Barcelona, Spain, Apr. 2018

85. Surender Redhu, Pratyush Garg and Rajesh M. Hegde, “Joint Mobile Sink Scheduling and Data Aggregation in Asynchronous Wireless Sensor Networks using Q-Learining”, IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP 2018), Calgary, Alberta,Canada, Apr. 2018

84. Vishnuvardhan Varanasi, and Rajesh M. Hegde, “Stochastic Online Dictionary Learning for Speech Source Localization and Separation in Spherical Harmonic Domain”, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP 2018), Calgary, Alberta, Canada, April 2018

83. Shreyan Choudhury, Tanaya Guha, and Rajesh M. Hegde, “Music Tempo Estimation Using Sub-band Synchrony”, 18th Annual Conference of the ISCA, (INTERSPEECH – 2017), Stockholm, Sweden, August 2017

82. Vishnuvardhan Varanasi, and Rajesh M. Hegde, “Robust Online Direction of Arrival Estimation using Low Dimensional Spherical Harmonic Features”, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP 2017), New Orleans, USA, March 2017.

81. Omjee Pandey, and Rajesh M. Hegde, “Cooperative Localization in Small World Wireless Sensor Networks”, 9th International Conference on COMmunication Systems and NETworkS, COMSNETS 2017, Bangalore, India, Jan. 2017.

80. Surender Redhu, and Rajesh M. Hegde, “Energy-Efficient Landmark Tracing in WSNs using Random Walks on Network Graphs”, 9th International Conference on COMmunication Systems and NETworkS, COMSNETS 2017, Bangalore,India, Jan. 2017.

79. Sandeep Reddy C, and Rajesh M. Hegde, “Horizontal Plane HRTF Interpolation using Linear Phase Constraint for Rendering Spatial Audio”, European Signal Processing Conference 2016 (EUSIPCO 2016), Budapest, Hungary, Sep. 2016.

78. Sandeep Reddy C, Rishika Agarwal, Lavisha Aggarwal, and Rajesh M. Hegde, “Binaural Source Localization using a HRTF Data Model with Enhanced Frequency Diversity”, European Signal Processing Conference 2016 (EUSIPCO 2016), Budapest, Hungary, Sep. 2016.

77. Sandeep Reddy, and Rajesh M Hegde, “Design and Development of Bionic Ears for Rendering Binaural Audio”, Eleventh International Conference on Signal Processing and Communications (SPCOM2016), Bangalore, India, Jun. 2016.

76. Sourya Basu, Shivam Chaturvedi, and Rajesh M Hegde, ” Text Compression Using Lexicographic Permutation of Binary Strings”, Eleventh International Conference on Signal Processing and Communications (SPCOM2016), Bangalore, India, Jun. 2016.

75. Isha Agrawal, and Rajesh M. Hegde, Radial Filters for Near Field Source Separation in Spherical Harmonic Domain, 2016, 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP 2016), Shanghai, China, March 2016

74. Lalan Kumar, Guoan Bi, and Rajesh M. Hegde, The Spherical Harmonics root-MUSIC, 2016, IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP 2016), Shanghai, China, March 2016.

73. Ayushi SInghal, Sandeep Reddy, and Rajesh M Hegde, Computing HRTFs using Spherical Near field Acoustic Holography for Rendering Spatial Audio, 2016, National Conference on Communications (NCC 2016), IIT Guwahati, Mar. 2016.

72. Anshul Bansal, Sakshi. C, Karan Nathwani, and Rajesh M. Hegde, Acoustic Echo Cancellation using a Multi-Resolution Non-Negative Matrix Factorization Method, 2016, National Conference on Communications (NCC 2016), IIT Guwahati, Mar. 2016.

71. Sandeep Reddy, GSS Srinivas Rao, and Rajesh M Hegde, On the Development of a Dynamic Virtual Reality System using Audio and Visual Scenes, 2016, National Conference on Communications (NCC 2016), IIT Guwahati, Mar. 2016.

70. Manu Seth, Sourya Basu, Shivam Chaturvedi, and Rajesh M Hegde, Multi Character Frequency based Encoding for Efficient Text Messaging in Indian Languages, 2016, National Conference on Communications (NCC 2016), IIT Guwahati, Mar. 2016

69. Om Jee Pandey, Ashutosh Kumar, and Rajesh M. Hegde, Localization in Wireless Sensor Networks with Cognitive Small World Characteristics, 2016, National Conference on Communications (NCC 2016), IIT Guwahati, Mar. 2016.

68. Sandeep Reddy, and Rajesh M. Hegde, A Joint Sparsity and Linear Regression Based Method for Customization of Median Plane HRIR, 2015, The 49th Asilomar Conference on Signals, Systems and Computers, Pacific Beach, CA, USA, session : TA8a1-7, Nov. 2015.

67. Sudhir Kumar, Shriman Tiwari, and Rajesh M. Hegde, Greedy Node Localization in Mobile Sensor Networks using Doppler Frequency Shift, 2015, The 49th Asilomar Conference on Signals, Systems and Computers, Pacific Beach, CA, USA, session : MA8b-1, Nov. 2015.

66. Sachin Kalkur, Sandeep Reddy C and Rajesh M Hegde, Joint Source Localization and Separation Using Sparsity Based Method, 2015, 16th Annual Conference of the ISCA, (INTERSPEECH – 2015), Dresden, Germany, September 2015.

65. Arun Parthasarathy, Saurabh Kataria, Lalan Kumar, and Rajesh M. Hegde, Representation and Modeling of Spherical Harmonics Manifold for Source Localization, 2015, 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP 2015), Brisbane, Australia, , vol., no., pp.26-30, 19-24 April 2015 doi : 10.1109/ICASSP.2015.7177925

64. Sudhir Kumar, Abhay Kumar, Akshay Kumar, and Rajesh M. Hegde, Hybrid Maximum Depth-kNN Method for Real Time Node Tracking using Multi-Sensor Data, 2015, IEEE International Conference on Communications 2015 (ICC 2015), London, UK, vol., no., pp.6652- 6657, 8-12 June 2015, doi : 10.1109/ICC.2015.7249385June 2015

63. Pratyush Sinha, Sudhir Kumar, and Rajesh M Hegde, Sniper Localization Using Passive Acoustic Measurements Over an Ad-hoc Sensor Array, 2015, National Conference on Communications (NCC 2015), IIT Bombay, vol., no., pp.1-6, Feb. 27 2015-March 1 2015. doi :10.1109/NCC.2015.7084859,Feb. 2015

62. Waquar Ahmad, H. Karnick, and Rajesh M. Hegde, Cosine Distance Metric Learning for Speaker Verification Using Large Margin Nearest Neighbor Method, 2014, Advances in Multimedia Information Processing (PCM 2014), Kuching, Dec. 2014.

61. Subhash Tanan, Karan Nathwani, Ayush Jain, Ruchi Rani, Abhijit Tripathy, andRajesh M Hegde, Acoustic Echo and Noise Cancellation using Kalman Filter in a Modified GSC Framework, 2014, The 48th Asilomar Conference on Signals, Systems and Computers, Pacific Beach, CA, USA, vol., no., pp.477-481, 2-5 Nov. 2014doi : 10.1109/ACSSC.2014.7094489.

60. Waquar Ahmad, Harish Karnick, and Rajesh M Hegde, Large Margin Nearest Neighborhood Metric Learning for I-Vector Based Speaker Verification, 2014, The 48th Asilomar Conference on Signals, Systems and Computers, Pacific Beach, CA, USA, vol., no., pp.827-832, 2-5 Nov. 2014 doi : 10.1109/ACSSC.2014.7094566.

59. Sudhir Kumar, and Rajesh M. Hegde, Indoor Node Localization using Geometric Dilution of Precision in Ad-Hoc Sensor Networks, 2014, The 48th Asilomar Conference on Signals, Systems and Computers, Pacific Beach, CA, USA, vol., no., pp.1525-1529, 2-5 Nov. 2014 doi : 10.1109/ACSSC.2014.7094718. 

58. Kushagra Singhal and Rajesh M Hegde, A Sparse Reconstruction Method for Speech Source Localization using Partial Dictionaries over a Spherical Microphone Array, 2014, 15th Annual Conference of the ISCA, INTERSPEECH, vol., no., pp.2209-2213, Singapore, September 2014 

57. Chaitanya Ahuja and Rajesh M Hegde, Fast Modelling of Pinna Spectral Notches from HRTFs using Linear Prediction Residual Cepstrum, 2014, 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014, Florence, Italy. vol., no., pp.4458- 4462, 4-9 May 2014. doi : 10.1109/ICASSP.2014.6854445 

56. Sudhir Kumar, Shriman Tiwari, and Rajesh M Hegde, An Adaptive Anchor Navigation Algorithm for Localization in MANET, 2014, International Conference on Signal Processing and Communications – 2014 (SPCOM 2014), Indian Institute of Science, Bangalore, India. vol., no., pp.1-5, 22-25 July 2014. doi : 10.1109/SPCOM.2014.6983996 

55. Lalan Kumar, and Rajesh Hegde, Near-Field Source Localization using Spherical Microphone Array, 2014, 4th Joint Workshop on Hands-free Speech Communication and Microphone Arrays HSCMA-2014, Nancy, vol., no., pp.82-86, 12-14 May 2014 doi : 10.1109/HSCMA.2014.6843256 

54. Ankit Sohni, Chaitanya Ahuja, and Rajesh Hegde, Extraction of Pinna Spectral Notches in The Median Plane of a Virtual Spherical Microphone Array, 2014, 4th Joint Workshop on Hands-free Speech Communication and Microphone Arrays HSCMA-2014, Nancy, vol., no., pp.142-146, 12-14 May 2014 doi : 10.1109/HSCMA.2014.6843268 

53. D. Ram ; D. Kundu and R. M. Hegde, A Bayesian Approach to Speaker Normalization Using Vowel Formant Frequency, 2014, Proceedings of The Twentieth Annual National Conference on Communications (NCC-2014), IIT Kanpur, vol., no., pp.1-6, Feb. 28 2014-March 2 2014 doi : 10.1109/NCC.2014.6811382 

52. A. Jalan ; K. Rejawat and R. M. Hegde, New Encoding Schemes for Efficient Multilingual Text Messaging, 2014, Proceedings of The Twentieth Annual National Conference on Communications (NCC-2014), IIT Kanpur, vol., no., pp.1-6, Feb. 28 2014-March 2 2014 doi : 10.1109/NCC.2014.6811326 

51. K. Nathwani ; S. Khunteta ; P. Nathwani and R. M. Hegde, Multi Channel Speech Dereverberation Using LP Residual Cepstrum in an Adaptive Beamforming Framework, 2014, Proceedings of The Twentieth Annual National Conference on Communications (NCC-2014), IIT Kanpur, vol., no., pp.1-6, Feb. 28 2014-March 2 2014 doi : 10.1109/NCC.2014.6811324

50. K. Nathwani ; A. Kumar and R. M. Hegde, Monaural Speaker Segregation Using Group Delay Spectral Matrix Factorization, 2014, Proceedings of The Twentieth Annual National Conference on Communications (NCC-2014), IIT Kanpur, vol., no., pp.1-6, Feb. 28 2014-March 2 2014 doi : 10.1109/NCC.2014.6811319 

49. Sudhir Kumar ; Kumar Kislay ; Mohit K. Singh and Rajesh M Hegde, A Range-Free Tracking Algorithm in Vehicular Ad-Hoc Networks, 2014, Proceedings of The Twentieth Annual National Conference on Communications (NCC-2014), IIT Kanpur, vol., no., pp.1-6, Feb. 28 2014-March 2 2014 doi : 10.1109/NCC.2014.6811310 

48. Sudhir Kumar ; Shriman N. Tiwari and Rajesh M. Hegde, 3-D Mobile Node Localization Using Constrained Volume Optimization Over Ad-Hoc Sensor Networks, 2014, Proceedings of The Twentieth Annual National Conference on Communications (NCC-2014), IIT Kanpur, vol., no., pp.1-6, Feb. 28 2014-March 2 2014 doi : 10.1109/NCC.2014.6811309 

47. Karan Nathwani and Rajesh M. Hegde, Speech Dereverberation in Multisource Environment using LCMV Filter, 2014, Proceedings of IEEE Symposiumon Signal Processing and Information Technology (ISSPIT), Noida, vol., no., pp.000404-000409, 15-17 Dec. 2014 doi : 10.1109/ISSPIT.2014.7300623 

46. L. Pandey, K. Nathwani, S. Kaur, I. Hussain, R. Pathak, G. Singh, S. Tiwari and Rajesh M. Hegde, Domain Specific Audio Indexing Using Linguistic Information, 2014, Proceedings of IEEE Symposium on Signal Processing and Information Technology (ISSPIT), Noida, vol., no., pp.000364-000369, 15-17 Dec. 2014 doi : 10.1109/ISSPIT.2014.7300616 

45. Jatin Kheradiya, Sandeep Reddy C and Rajesh M. Hegde, Active Speaker Detection Using Audio-Visual Sensor Array, 2014, Proceedings of IEEE Symposium on Signal Processing and Information Technology (ISSPIT), Noida, December 2014. vol., no., pp.000480-000484, 15-17 Dec. 2014 doi : 10.1109/ISSPIT.2014.7300636 

44. Waquar Ahmad, Harish Karnick and Rajesh Hegde, Voice Based Biometric Authentication using Collapsing Classes Discriminative Space Transform, 2014, Proceedings of IEEE Symposium on Signal Processing and Information Technology (ISSPIT), Noida, December 2014. vol., no., pp.000001-000006, 15-17 Dec. 2014. doi : 10.1109/ISSPIT.2014.7300554 

43. Lalan Kumar, Kushagra Singhal and Rajesh M Hegde, Robust Source Localization and Tracking using MUSIC-Group Delay Spectrum over Spherical Arrays, 2013, IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2013), Saint Martin, France, vol., no., pp.304-307, 15-18 Dec. 2013 doi : 10.1109/ CAMSAP. 2013. 6714068 

42. Sudhir Kumar, Shriman N Tiwari and Rajesh M Hegde, Optimal Anchor Guiding Algorithms for Maximal Node Localization in Mobile Sensor Networks, 2013, 2013 IEEE Conference on Wireless Sensors (ICWiSe2013), Sarawak, Malaysia, Dec. 2013, vol., no., pp.13-18, 2-4 Dec. 2013 doi : 10.1109/ICWISE.2013.6728772 

41. Sudhir Kumar, Vatsal Sharan, and Rajesh M Hegde, Energy Effiicient Optimal Node-Source Localization using Mobile Beacon in Ad-hoc Sensor Networks, 2013, IEEE Global Communications Conference, GLOBECOM 2013, Atlanta, Georgia, USA, Dec. 2013, vol., no., pp.487-492, 9-13 Dec. 2013 doi : 10.1109/GLOCOM.2013.6831118 

40. Karan Nathwani, Harish Padaki, and Rajesh M. Hegde, Multi Channel Reverberant Speech Enhancement using LP Residual Cepstrum, 2013, The 47th Asilomar Conference on Signals, Systems and Computers, Pacific Beach, CA, USA, Nov. 2013, vol., no., pp.555-559, 3-6 Nov. 2013 doi : 10.1109/ACSSC.2013.6810340 

39. Vatsal Sharan, Sudhir Kumar, and Rajesh M Hegde, Localization of Acoustic Beacons Using Iterative Null Beamforming over Ad-hoc Wireless Sensor Networks, 2013, The 47th Asilomar Conference on Signals, Systems and Computers, Pacific Beach, CA, USA, Nov. 2013, vol., no., pp.542-546, 3-6 Nov. 2013 doi : 10.1109/ACSSC.2013.6810337 

38. Anurag Kumar, Rajesh M Hegde, Rita Singh and Bhiksha Raj, Event Detection in Short Duration Audio Using Gaussian Mixture Model and Random Forest Classifier, 2013, 21st European Signal Processing Conference 2013 (EUSIPCO 2013), Marrakech, Morocco, Sep. 2013, vol., no., pp.1-5, 9-13 Sept. 2013 

37. D. Arya, Anant Raj, and Rajesh Hegde, Significance of variable height-bandwidth group delay filters in the spectral reconstruction of speech, 2013, Interspeech 2013, Lyon, France, Aug. 2013 (pp. 1682-1686) 

36. Karan Nathwani and Rajesh Hegde, Joint Noise Cancellation and Dereverberation using MultiChannel Linearly Constrained Minimum Variance Filter, 2013, Interspeech 2013, Lyon, France, Aug. 2013 (pp. 2987-2991) 

35. Shubhranshu Barnwal, Rohit Barnwal, Rajesh Hegde, Rita Singh, and Bhiksha Raj, Doppler based speed estimation of vehicles using passive sensor, 2013, The 2013 IEEE International Conference on Multimedia and Expo (ICME 2013), San Jose, California, USA, July 2013, (pp. 14). 

34. L. Kumar ; K. Singhal ; R. Sinha ; R. M. Hegde, Significance of the MUSIC-Group Delay Method in an ICA-Beamforming Framework for Speech Separation in Multi Source Environments, 2013, Proceedings of The Nineteenth Annual National Conference on Communications 2013, New Delhi, Feb. 2013, vol., no., pp.1-5, 15-17 Feb. 2013 doi : 10.1109/NCC.2013.6487992 

33. H. Padaki ; K. Nathwani ; R. M. Hegde, Single Channel Speech Dereverberation Using the LP Residual Cepstrum, 2013, Proceedings of The Nineteenth Annual National Conference on Communications (NCC-2013), IIT Delhi, New Delhi, Feb. 2013, vol., no., pp.1-5, 15-17 Feb. 2013 doi : 10.1109/NCC.2013.6487990 

32. Vatsal Sharan, Sudhir Kumar, and Rajesh M Hegde, Multiple Source Localization over Randomly Distributed Wireless Sensor Nodes, 2013, Short Paper, Fifth International Conference on COMmunication Systems and NETworkS (COMSNETS) , Bangalore, India, Jan. 2013, vol., no., pp.1-2, 7-10 Jan. 2013. doi : 10.1109/COMSNETS.2013.6465589 

31. M Phanikumar, Lalan Kumar , and Rajesh M Hegde, An Unsupervised Approach to Multiple Speaker Tracking for Robust Multimedia Retrieval, 2013, In The Era of Interactive Media, Editors : Jin et. al, pp. 519–529, Springer New York, 2013 

30. Arpit Shukla, Karan Nathwani, and Rajesh M Hegde, An Adaptive Non Reference Anchor Array Framework for Distant Speech Recognition, 2012, The 2012 Pacific-Rim Conference on Multimedia (PCM2012), Singapore, 74(1), 91-102. Dec. 2012. 

29. Bhargav M, Waqar Ahmad, and Rajesh M Hegde, Distant Speaker Verification using a combined family of MVDR estimates, 2012, The 2012 Pacific-Rim Conference on Multimedia (PCM2012), Singapore, (pp. 628-638) Dec. 2012 

28. Karan Nathwani, and Rajesh M Hegde, Joint Adaptive Beamforming and Echo Cancellation Using a Non Reference Anchor Array Framework, 2012, TA8a1-10 : Array Signal Processing, 46th Asilomar Conference on Signals, Systems and Computers, Nov. 2012, Pacific Grove, California, USA. vol., no., pp.885-889, 4-7 Nov. 2012 doi : 10.1109/ACSSC.2012.6489142 

27. Ardhendu Tripathy and Lalan Kumar and Rajesh M Hegde, Robust Two Dimensional Source Localization Using the MUSIC-Group Delay Spectrum, 2012, International Conference on Signal Processing and Communications – 2012 (SPCOM 2012), Jul. 2012, Indian Institute of Science, Bangalore, India, vol., no., pp.1-5, 22-25 July 2012 doi : 10.1109/SPCOM.2012.6290035 

26. Lalan Kumar and Rohan Mandala and Rajesh M Hegde, Group Delay Based Methods for Robust DOA Estimation using Shrinkage Estimators, 2012, 2012 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2012), June 2012, Hoboken, NJ, USA, vol., no., pp.281-284, 17-20 June 2012. doi : 10.1109/SAM.2012.6250489 

25. M Phanikumar, Lalan Kumar , and Rajesh M Hegde, An Unsupervised Approach to Multiple Speaker Tracking for Robust Multimedia Retrieval, 2011, 2011 IEEE Pacific-Rim Conference on Multimedia, PCM 2011, Sydney, Australia, Dec 2011 (pp. 519-529) 

24. A Tripathy, Lalan Kumar, and Rajesh M Hegde, Group Delay based methods for Speech Source Localization over Circular Arrays, 2011, Third IEEE Joint Workshop on Hands-free Speech Communi-cation and Microphone Arrays, HSCMA 2011, Edinburgh, Scotland, May 30, 2011, vol., no., pp.64-69, May 30 2011-June 1 2011. doi :10.1109/HSCMA.2011.5942411 

23. Mohan M Trivedi and Rajesh M Hegde, Enabling Multimodal Pervasive Computing Systems for Agriculture and Transportation Applications (White Paper), 2011, VANET and Intelligent Transportation, Indo-US Workshop on Pervasive Communications and Computing Collaboration (PC3) , Mar. 2011, IIT Delhi, New Delhi, India 

22. Arpit Mathur and Rajesh M Hegde, Significance of the MVDR-LP Spectral Ration in Whisper Detection, 2011, Proceedings of the NCC 2011, Jan. 2011, IISc Bangalore, vol., no., pp.1-5, 28-30 Jan. 2011. doi : 10.1109/NCC.2011.5734719 

21. Rohan Mandala, Mrityunjaya Shukla, and Rajesh Hegde, Group Delay Based Methods for Recognition of Distant Talking Speech, 2010, The 44th Asilomar Conference on Signals, Systems and Computers, TP7b-2, Nov. 2010, Pacific Grove , California, USA, vol., no., pp.1702-1706, 7-10 Nov. 2010. doi :10.1109/ACSSC.2010.5757830 

20. Srikanth N and Rajesh M Hegde, On line Client-wise cohort set selection for speaker verification using iterative normalization of confusion matrices, 2010, pp. 576–580, 2010 European Signal Processing Conference, EUSIPCO-2010, August 2010, Aalborg, Denmark, vol., no., pp.576- 580, 23-27 Aug. 2010 

19. Mrityunjaya Shukla and Rajesh M Hegde, Significance of the MUSIC-group delay spectrum in speech acquisition from distant microphones, 2010, pp. 2738-2741, IEEE International Conference on Acoustics, Speech, and Signal Processing , ICASSP 2010, Dallas, Texas, USA, March 2010. 

18. D Kumar, R Malhotra, A Singh, and Rajesh M Hegde, Multimodal Speaker Diarization using a Soft Belief Function, 2009, pp. 376-381, Proc. of the 7th International Conference on Natual Language Processing, ICON 2009, Hyderabad, India, Dec 2009 

17. R.Padmanabhan, Rajesh M. Hegde, and Hema A. Murthy, Dynamic Selection of Magnitude and Phase based Acoustic feature streams for Speaker Verification, 2009, 17th European Signal Processing Conference (EUSIPCO 2009), Glasgow, vol., no., pp.1244-1248, 24-28 Aug. 2009 

16. Rajesh M Hegde, and A Srinivas, Single channel speaker segregation using sinusoidal residual modeling, 2009, In proceedings of NCC-2009, IIT-Guwahati, India, Jan. 2009 

15. Ramya R, Rajesh M Hegde, and Hema A Murthy, Significance of group delay based acoustic features in the linguistic search space for robust speech recognition, 2008, pp. 1537-1540, INTERSPEECH 2008, Brisbane Australia, Sep. 2008. 

14. Ramya R, Rajesh M Hegde, and Hema A Murthy, Incorporating Acoustic Feature Diversity into the linguistic search space for improved speech recognition, 2008, L2-2, 16th European Signal Processing Conference, EUSIPCO 2008, Lausanne, Switzerland, vol., no., pp.1-5, 25-29 Aug. 2008 

13. Manoj BS, Rajesh Hegde, Bhaskar Rao, and Ramesh Rao, Sentient Networks : A New dimension in Network Capability”, IEEE Symposium on Frontiers in Wireless Networking, 2007, IEEE-FINA 2007, Niagara Falls Canada, Vol. 1, pp. 6-11, May 2007 

12. Rajesh Hegde, Yuzhe Jin, and Bhaskar D. Rao, Spectral Estimation of Voiced Speech using a Family of MVDR Estimates, 2007, IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP-2007, Hawaii, U.S.A., Vol. IV, pp., Apr. 2007 1069-1072 

11. Rajesh M. Hegde, B. S. Manoj, Bhaskar D. Rao, and Ramesh R. Rao, Emotion Detection from Speech Signals and its Applications in Supporting Enhanced QoS in Emergency Response, 2006, Third International Conference on Information Systems for Crisis Response and Management, Newark, NJ, USA, May 2006 

10. Hemant Tyagi, Rajesh M Hegde, Hema A. Murthy, and Anil Prabhakar, Automatic Bird Call Identification using Spectral Ensemble Average Voiceprints, 2006, European Signal Processing Conference, Italy, vol., no., pp.1-5, 4-8 Sept. 2006 ,EUSIPCO 2006. 

09. Rajesh M. Hegde, Hema A. Murthy, and Venkata Ramana Rao Gadde, Speech Processing using Joint Features Derived from The Modified Group Delay Function, 2005, in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP-2005, Philadelphia, U.S.A, Vol 1, pp. 541-544, Mar. 2005 

08. Rajesh M. Hegde and Hema A. Murthy, Automatic Language Identi cation and Discrimination using The Modi ed Group Delay Feature, 2005, in Proceedings of International Conference on Intelligent Sensing and Information Pro-cessing, ICISIP-2005, Chennai, pp. 395 – 399, Jan. 2005 

07. Rajesh M. Hegde and Hema A. Murthy, An Alternative Representation of Speech using The Modified Group Delay Feature, 2004, in Proceedings of International Conference on Signal Processing and Communications, SPCOM-2004, Bangalore, Su C1.1, vol., no., pp.280-284, 11-14 Dec. 2004. doi :10.1109/SPCOM.2004.1458402 Dec. 2004 

06. Rajesh M. Hegde, Hema A. Murthy, and Venkata Ramana Rao Gadde, Continuous Speech Recognition using Joint Features derived from The Modified Group Delay Function and MFCC, 2004, in Proceedings of the INTERSPEECH 2004 – ICSLP, Jeju, S. Korea, Vol. 2, pp. 905-908, Oct. 2004 

05. Rajesh M. Hegde, Hema A. Murthy, and Venkata Ramana Rao Gadde, The Modified Group Delay Feature : A New Spectral Representation of Speech, 2004, in Proceedings of the INTERSPEECH 2004 – ICSLP, Jeju, S. Korea, Vol. 2, pp. 913-916, Oct. 2004 

04. Rajesh M. Hegde, Hema A. Murthy, and Venkata Ramana Rao Gadde, Application of the Modified Group Delay Function to Speaker Identification and Discrimination, 2004, in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP-2004, Montreal, Canada, Vol 1, pp. 517-520, May 2004 

03. Rajesh M. Hegde and Hema A. Murthy, Speaker Identification using The Modified Group Delay Feature, 2003, in Proceedings of International Conference on Natural Language Processing, ICON 2003, Mysore, India, pp. 159-167, Dec. 2003 

02. T. Nagarajan, Hema A. Murthy, and Rajesh M. Hegde, Segmentation of Speech into Syllablelike Units, 2003, Proc. EUROSPEECH-2003, Geneva, Switzerland, Sep. 2003, pp.2893-2896 

01. T. Nagarajan, Hema A. Murthy, and Rajesh M. Hegde, Group Delay based Segmentation of Spontaneous Speech into Syllable-like Units, 2003, ISCA and IEEE workshop on Spontaneous Speech Processing and Recognition, SSPR-2003, Tokyo, Japan, Apr. 2003, pp-151

Professional Services (Selected)

Reviewer for IEEE Trans. On SLP, SP, MM, Networking, SIPN etc.

Reviewer for Elsevier Pervasive Computing.

Reviewer for IEEE Trans. on Signal Processing. Reviewer for IEEE Signal Processing Letters.

Reviewer for IET Electronic Letters.

Reviewer for Signal Processing Journal, Elsevier.

Reviewer for International Journal of Speech Technology, Springer.

Reviewer for Language Resources and Evaluation Journal, Springer.

Reviewer for European signal processing conferences (EUSIPCO).

Reviewer for Information Systems for Crisis Response and Management Conferences.

TPC of the Highly Successful Annual WiSSAP workshops held in India.

TPC and Reviewer for several Conferences in India and Abroad.

Member of National Standards Committee on ITU-T for Multi media Standards

Invited talks in meetings/workshops (Selected)

Multi modal Signal Processing : Theory and Applications, Invited Speaker, IIT Gandhinagar, Dec. 2016

Cognitive WSNs : Theory and Applications, Invited Lectures, NITK Surathkal, Dec. 2016

Distant Speech Recognition : Sub space and Group Delay methods, IITM 2010 Workshop on Innovations in Information Communication Technologies (ICT) for Defence Applications, Dec 27, 2010, IIIT Allahabad.

Sub space based methods for DOA estimation, Conference on signal processing and real time operating systems, SPRTOS 2011, March 27, 2011, Harcourt Butler Technological Institute, Kanpur.

Speaker Recognition : Part I : Speech Production, Broad Overview of Vector Quantization, and Gaussian Mixture Models, National Institute of Technical Teachers’ Training and Research (NITTTR), Chandigarh, Jan 31 – 2009

Speaker Recognition : Part II : Theoretical and Implementation Aspects of VQ and GMM for Speaker Recognition, National Institute of Technical Teachersâ Training and Research (NITTTR), Chandigarh, Jan 31-2009

Wireless Sensor Networks for Public Safety, National Frontiers in Engg (NATFOE), Invited Talk, IIT Gandhinagar, Sep. 2015.

Microphone Array Processing and Spatial Audio Systems, LG Soft India Bangalore, Mar. 2015

Multi modal Signal Processing for Information Retrieval, LG Soft India Bangalore, November 2015