M. Tanveer

About

M. Tanveer is Professor and Ramanujan Fellow at the Department 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. He received the Ph.D degree in Computer Science from the Jawaharlal Nehru University, New Delhi, India. His research interests include support vector machines, optimization, machine learning, deep learning, applications to Alzheimer's disease and dementia. He has published over 160 refereed journal papers of international repute. His publications have over 11500+ citations with h index 52 (Google Scholar, Jan 2026). 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 INNS Aharon Katzir Young Investigator Award for 2024, IIT Indore Best Research Paper Award for 2023, Asia Pacific Neural Network Society Young Researcher Award for 2022, 29th ICONIP Best Research Paper Award for 2022. He is/was the Associate/Action Editor of IEEE TNNLS (2022 - ), IEEE TFS (2025 - ), IEEE TETCI (2025 - ), Pattern Recognition, Elsevier (2021 - ), Neural Networks, Elsevier (AE for 2022 - 2025, Senior AE for 2025 - ), Engineering Applications of Artificial Intelligence, Elsevier (2022 - ), Neurocomputing, Elsevier (2022 - ), Cognitive Computation, Springer (2022 - ), Applied Soft Computing, Elsevier (2022 - ). He is/was Guest Editor in Special Issues of several journals including IEEE Transactions on Fuzzy Systems, ACM Transactions of Multimedia (TOMM), Applied Soft Computing, Elsevier, IEEE Journal of Biomedical Health and Informatics, IEEE Transactions on Emerging Topics in Computational Intelligence 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/ symposiums/ workshops 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 Governors of Asian Pacific Neural Network Society (APNNS) and Elected INSA Associate Fellow. He was recently honoured with the prestigious INSA Distinguished Lecture Award for 2024.

Employment

• Indian Institute of Technology Indore Professor
  2024 - Present
• Indian Institute of Technology Indore Associate Professor
  2019 - 2024
• Indian Institute of Technology Indore Assistant Professor
  2017 - 2019
• Indian Institute of Technology Indore Ramanujan Fellow
  2016 - Present
• Nanyang Technological University Postdoctoral Research Fellow
  2015 - 2016
• LNM Institute of Information Technology Assistant Professor
  2012 - 2015

Education

• Jawaharlal Nehru University PhD
  2008 - 2013

Projects & Funding

Projects & funding information is unavailable.

Publications (70)

• Comprehensive review on twin support vector machines
  Annals of Operations Research 2024 DOI: 10.1007/s10479-022-04575-w
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• Alzheimer’s Disease Diagnosis via Intuitionistic Fuzzy Random Vector Functional Link Network
  IEEE Transactions on Computational Social Systems 2024 DOI: 10.1109/TCSS.2022.3146974
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• Brain age prediction using improved twin SVR
  Neural Computing and Applications 2024 DOI: 10.1007/s00521-021-06518-1
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• A Secure Face Recognition for IoT-enabled Healthcare System
  ACM Transactions on Sensor Networks 2023 DOI: 10.1145/3534122
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• Reducing rip current drowning: An improved residual based lightweight deep architecture for rip detection
  ISA Transactions 2023 DOI: 10.1016/j.isatra.2022.05.015
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• Classification of Alzheimer’s Disease Using Ensemble of Deep Neural Networks Trained Through Transfer Learning
  IEEE Journal of Biomedical and Health Informatics 2022 DOI: 10.1109/JBHI.2021.3083274
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• Spatio-Temporal Self-Attention Network for Fire Detection and Segmentation in Video Surveillance
  IEEE Access 2022 DOI: 10.1109/ACCESS.2021.3132787
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• FDN-ADNet: Fuzzy LS-TWSVM based deep learning network for prognosis of the Alzheimer’s disease using the sagittal plane of MRI scans
  Applied Soft Computing 2022 DOI: 10.1016/j.asoc.2021.108099
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• Regularized Least Squares Twin SVM for Multiclass Classification
  Big Data Research 2022 DOI: 10.1016/j.bdr.2021.100295
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• Predicting Brain Age Using Machine Learning Algorithms: A Comprehensive Evaluation
  IEEE Journal of Biomedical and Health Informatics 2022 DOI: 10.1109/JBHI.2021.3083187
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