Large scale machine learning algorithms

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Large scale machine learning algorithms



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  • Date: 10 Jul 2024
  • Time: 10:30 AM to 11:30 AM
  • All times are (UTC+05:30) Chennai
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  Speakers

Dr. M Tanveer of IIT Indore

Topic:

Large scale machine learning algorithms

Biography:

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 145 referred journal papers of international repute. His publications have over 6200 citations with h index 40 (Google Scholar, May 2024). 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. He was recently honored with the prestigious INSA Distinguished Lecture Award for 2024.