OPTImization for MAchine Learning (OPTIMAL) Research Group
INDIAN INSTITUTE OF TECHNOLOGY INDORE
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OPTImization for MAchine Learning (OPTIMAL)
Research Group
Please see GitHub respository for codes.
M. Tanveer

Associate Professor
INSA Associate Fellow and SERB Ramanujan Fellow
OPTImization for MAchine Learning (OPTIMAL) Research Lab
Department of Mathematics
Indian Institute of Technology Indore

M. Tanveer is Associate Professor and Ramanujan Fellow at the Discipline of Mathematics of the Indian Institute of Technology Indore. Prior to that, he worked as a Postdoctoral Research Fellow at the Rolls-Royce@NTU Corporate Lab of the Nanyang Technological University, Singapore. During 2012 to 2015, he was an Assistant Professor at the Department of Computer Science and Engineering of the LNM Institute of Information Technology (LNMIIT), Jaipur. He received the Ph.D degree in Computer Science from the Jawaharlal Nehru University, New Delhi, India. Prior to that, he received the M.Phil degree in Mathematics from Aligarh Muslim University, Aligarh, India. His research interests include support vector machines, optimization, machine learning, deep learning, applications to Alzheimer's disease and dementias. He has published over 130 referred journal papers of international repute. His publications have over 5000 citations with h index 35 (Google Scholar, November 2023). Recently, he has been listed in the world's top 2% scientists in the study carried out by Stanford University, USA. He has served on review boards for more than 100 scientific journals and served for scientific committees of various national and international conferences. He is the recipient of the 2023 IIT Indore Best Research Paper Award, 2022 Asia Pacific Neural Network Society Young Researcher Award, 29th ICONIP 2022 Best Research Paper Award, 2017 SERB-Early Career Research Award in Engineering Sciences and the only recipient of 2016 DST-Ramanujan Fellowship in Mathematical Sciences. He is currently the Associate Editor - IEEE Transactions on Neural Networks and Learning Systems (2022 - ), Associate Editor - Pattern Recognition, Elsevier (2021 - ), Action Editor - Neural Networks, Elsevier (2022 - ), Board of Editors - Engineering Applications of Artificial Intelligence, Elsevier (2022 - ), Associate Editor - Neurocomputing, Elsevier (2022 - ), Associate Editor - Cognitive Computation, Springer (2022 - ), Editorial Board - Applied Soft Computing, Elsevier (2022 - ), International Journal of Machine Learning and Cybernetics, Springer (2021 - ), Associate Editor - Frontiers in Applied Mathematics and Statistics (Aug 2020 - ), Editorial Review Board - Applied Intelligence, Springer. He is/was Guest Editor in Special Issues of several journals including ACM Transactions of Multimedia (TOMM), Applied Soft Computing, Elsevier, IEEE Journal of Biomedical Health and Informatics, IEEE Transactions on Emerging Topics in Computational Intelligence, Multimedia Tools and Applications, Springer and Annals of Operations Research, Springer. He has also co-edited one book in Springer on machine intelligence and signal analysis. He has organized many international/national conferences/symposium/workshop as General Chair/Organizing Chair/Coordinator, and delivered talks as Keynote/Plenary/invited speaker in many international conferences and Symposiums. He has organized several special sessions in top-ranked conferences including WCCI, IJCNN, IEEE SMC, IEEE SSCI, ICONIP. Amongst other distinguished, international conference chairing roles, he is the General Chair for 29th International Conference on Neural Information Processing (ICONIP2022) (the world's largest and top technical event in Computational Intelligence). Tanveer is currently the Principal Investigator (PI) or Co-PI of 12 major research projects funded by Government of India including Department of Science and Technology (DST), Science & Engineering Research Board (SERB) and Council of Scientific & Industrial Research (CSIR), MHRD-SPARC, ICMR. He is an Elected Board of Governers of Asian Pacific Neural Network Society (APNNS) and Elected INSA Associate Fellow.

CURRENT PROFFESSIONAL SERVICES
  • Elected Associate Fellow of Indian National Science Academy (INSA) 2023.
  • Elected Board of Governers of Asian Pacific Neural Network Society (APNNS) 2023-2024.
  • General Chair for 29th International Conference on Neural Information Processing (ICONIP2022) (Core Rank - A).
  • Founding Chair - MISP 2022, NIT Raipur, India.
  • Founding Chair - MISP 2021, NIT AP, India.
  • Publicity Chair for 28th International Conference on Neural Information Processing (ICONIP2021) (Core Rank - A).
  • General Chair - 2020 IEEE Computational Intelligence Society Summer School, Nov 26-30, 2020.
  • Coordinator - NPIU/TEQIP-III Sponsored Faculty Training on Future Skill Technologies on Artificial Intelligence and Machine Learning, Nov 20-27, 2020.
  • Coordinator - TEQIP-III Sponsored Short Term Course (STC) on Artificial intelligence driven biomedical data analysis for disease diagnosis, Nov. 05-10, 2020.
  • Coordinator - TEQIP-III Sponsored Short Term Course (STC) on Recent Trends in Machine Learning and Soft Computing, Dec. 18-20, 2020 .
  • Guest Editor for Special Issue on Randomization-Based Deep and Shallow Learning Algorithms in Applied Soft Computing, Elsevier.
  • Guest Editor for Special Issue on Emerging Computational Intelligence Techniques to address Challenges in Biomedical Data and Imaging in IEEE Transactions on Emerging Topics in Computational Intelligence.
  • Guest Editor for Special Issue on Robust Data Analysis and Its Applications in Annals of Operations Research, Springer.
  • Guest Editor for Special Issue on Artificial intelligence and deep learning for biomedical applications in Multimedia Tools and Applications, Springer.
  • Guest Editor for Special Issue on Advanced machine learning algorithms for biomedical data and imaging in Multimedia Tools and Applications, Springer.
  • Guest Editor for Special Issue on Advances of machine learning in data analytics and visual information in Multimedia Tools and Applications, Springer.
  • Special Session on Randomization-Based Deep and Shallow Learning Algorithms" in 27th ICONIP2020, Nov. 18-22, 2020, Bangkok, Thailand.
  • Special Session on Randomization-Based Deep and Shallow Learning Algorithms" in WCCI 2020, July 19-24, 2020, Glasgow, UK.
  • Special Session on Randomization-Based Deep and Shallow Learning Algorithms" in 16th International Conference ICNC-FSKD 2020, August 1-3, 2020, Xian, China.
  • Coordinator - TEQIP-III Sponsored Short Term Course (STC) on Recent Trends in Machine Learning and Soft Computing, Dec. 18-20, 2020 .
  • Associate Editor for Special Issue in ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) (SCI Indexed).
  • Associate Editor, IEEE SMC 2019 and 2020.
  • General Chair - International Conference on Computational Mathematics and its Applications (CMA 2019) at IIT Indore, Nov. 12-14, 2019.
  • Coordinator - TEQIP-III Sponsored 04 days Short Term Course on Fundamentals of Data Analytics at IIT Indore, Nov. 30-Dec. 03, 2019.
  • Coordinator - TEQIP Active Learning Course on How to to good PhD at IIT Indore, March 18-20, 2019.
  • Special Session on Non-parallel Support Vector Machine Classifiers in IEEE SMC 2019, October 06-09, 2019, Italy.
  • Special Session on Soft Computing: Data Driven Approach for Bio-medical and Healthcare in IEEE SMC 2019, October 06-09, 2019, Italy.
  • Special Session Chair: IEEE SSCI 2018, Nov. 18-21, 2018, Bangaluru.
  • Special Session on Non-parallel Support Vector Machine classifiers at IEEE SSCI 2018.
  • Special Session on Computational Intelligence in Cyber Threat Analytics at IEEE SSCI 2018.
  • Special Session on Computational intelligence for Biomedical Data and Imaging at IEEE SSCI 2018.
  • General Chair and Convener: International Conference on Machine Intelligence and Signal Processing (MISP) 2017.
  • Organizer and Local Coordinator: NTU-India Connect Program- CMOCI 2017.
  • Editorial Review Board Member: Applied Intelligence, Springer (SCI).
  • Section Editor: Smart Science, Taylor & Francis (Scopus and ESCI).
  • IEEE Senior Member.
  • IEEE Computational Intelligence Society Member.
  • IEEE Systems, Man, and Cybernetics Society Member.
  • Asia Pacific Neural Network Society Member.
  • Reviewer of American Mathematical Society, USA.