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Dr. Vivek Menon

Professor, School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri | Research Head, School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri

Qualification: BE, PGDM, Ph.D
vivekmenon@am.amrita.edu
Google Scholar Profile
Scopus ID
Research Interest: Healthcare AI, Video Analytics, Deep Learning, Machine Learning, Data Science

Bio

Dr. Vivek Menon currently serves as a Professor and Research Head at the School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri.

cisa-logo_0.jpgHe has over 24 years of diverse teaching and research experience across our campuses at Amritapuri, Coimbatore, and Kochi and joined AMRITA in 2001 at the Coimbatore campus. A Visiting Research Scientist at the Center for Unified Biometrics and Sensors (CUBS), Dept. of CSE, State University of New York (SUNY) at Buffalo from 2007-09, his ongoing collaborative research on smart environments with SUNY at Buffalo has featured in prestigious international journals and conference proceedings published by the ACM, IEEE, Elsevier, and Springer-Verlag.

A Cisco Certified Network Associate (CCNA) and Cisco Certified Academy Instructor (CCAI) during 2002-05; he is a Certified Information Systems Auditor (CISA) since 2013. He is a Senior Member of ACM and Senior Member of IEEE since 2013, and a Life Member of the Analytics Society of India. He served as an Academic Advocate of ISACA for Amrita Vishwa Vidyapeetham from 2014-23 and has been an NVIDIA Deep Learning Institute (DLI) University Ambassador since 2018. He successfully completed the ISO 27001:2013/ISMS Lead Auditor Training program in 2021 and the PIMS ISO 27701:2019 Lead Auditor Training program in 2022.

He is a recipient of the prestigious ‘Fast Track Young Scientist Scheme’ in Engineering Sciences, awarded by the Science and Engineering Research Board (SERB), Department of Science and Technology (DST), Government of India for the research project titled “Video Analytics based Identification and Tracking in Smart Spaces” for the period from 2014-17. He served as a Technical Mentor under the Women Scientist Scheme-A of DST for the project titled ‘Modeling Large Scale Camera Networks using Distributed State Transition System’ for the period from 2018-21.  He served as the Principal Investigator for a collaborative research project titled “Deep Learning-based Automated ASPECT Score and Infarct Core Prediction,” conducted under the ICMR AdHoc Project Program in collaboration with doctors from Amrita Hospital, Kochi, during the period from 2023–25.

Qualifications: B. E. (CSE, ASE-Bharathiar), PGDM (Information Systems & Finance, ASB), Ph. D. (Computer Science, AMRITA), CISA

Publications

Conference Paper

Year : 2025

AI-Enhanced Fluid Dynamics for Smart Industrial Systems: Real-Time Pressure and Velocity Estimation Using Fusion Networks

Cite this Research Publication : Vishnu Mohan M. S., Vivek Menon, Hariprasad M. P., AI-Enhanced Fluid Dynamics for Smart Industrial Systems: Real-Time Pressure and Velocity Estimation Using Fusion Networks, [source], IEEE, 2025, https://doi.org/10.1109/ICCE63647.2025.10930030

Publisher : IEEE

Year : 2024

Maximizing Coverage over a Surveillance Region Using a Specific Number of Cameras

Cite this Research Publication : M. S. Sumi Suresh, Vivek Menon, Srirangaraj Setlur, Venu Govindaraju, Maximizing Coverage over a Surveillance Region Using a Specific Number of Cameras, Lecture Notes in Computer Science, Springer Nature Switzerland, 2024, https://doi.org/10.1007/978-3-031-78312-8_20

Publisher : Springer Nature Switzerland

Year : 2024

Deep Learning Based Generation of Cerebral Blood Flow CT Perfusion Images from Non-Contrast CT Scans of Ischemic Stroke Patients

Cite this Research Publication : M.S. Sony, M.S. Sumi Suresh, Vivek Menon, P.T. Karthika Rani, Vivek Nambiar, Deep Learning Based Generation of Cerebral Blood Flow CT Perfusion Images from Non-Contrast CT Scans of Ischemic Stroke Patients, [source], IEEE, 2024, https://doi.org/10.1109/INDICON63790.2024.10958334

Publisher : IEEE

Year : 2022

Automated ASPECTS Classification in Acute Ischemic Stroke using EfficientNetV2

Cite this Research Publication : Cite this Research Publication : Ramananjali Mounica Golkonda, Vivek Menon and Vivek Nambiar, "Automated ASPECTS Classification in Acute Ischemic Stroke using EfficientNetV2," 2022 IEEE 7th International conference for Convergence in Technology (I2CT), 2022, pp. 1-6, doi: 10.1109/I2CT54291.2022.9824809.

Publisher : IEEE Xplore

Year : 2022

Joint Channel Estimation and Symbol Detection in MIMO-OFDM Systems: A Deep Learning Approach using Bi-LSTM

Cite this Research Publication : Aswathy K. Nair and Vivek Menon, "Joint Channel Estimation and Symbol Detection in MIMO-OFDM Systems: A Deep Learning Approach using Bi-LSTM," 2022 14th International Conference on Communication Systems & NETworkS (COMSNETS), 2022, pp. 406-411, doi:10.1109/COMSNETS53615.2022.9668456

Publisher : IEEE Xplore

Year : 2021

Measuring Viscosity of Fluids: A Deep Learning Approach Using a CNN-RNN Architecture

Cite this Research Publication : Vishnu Mohan M. S. & Vivek Menon (2021). Measuring Viscosity of Fluids: A Deep Learning Approach Using a CNN-RNN Architecture. The First International Conference on AI-ML-Systems, Article No.: 12, Pages 1–5, https://doi.org/10.1145/3486001.3486232.

Publisher : ACM Digital Library

Year : 2021

Bert-based Braille Summarization of Long Documents

Cite this Research Publication : K. Yamuna, V. Shriamrut, D. Singh, V. Gopalasamy and V. Menon, "Bert-based Braille Summarization of Long Documents," 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021, pp. 1-6, doi: 10.1109/ICCCNT51525.2021.9579748.

Publisher : IEEE Xplore

Year : 2018

Modeling Compensation of Data Science Professionals in BRIC Nations

Cite this Research Publication : Smibi M.J. and Dr. Vivek Menon, “Modeling Compensation of Data Science Professionals in BRIC Nations”, in International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018), Kolkata , 2018, pp. 631-638.

Publisher : International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018)

Year : 2016

Disaster management in India – An analysis using COBIT 5 principles

Cite this Research Publication : C. Mohanan and Dr. Vivek Menon, “Disaster management in India - An analysis using COBIT 5 principles”, in GHTC 2016 - IEEE Global Humanitarian Technology Conference: Technology for the Benefit of Humanity, Conference Proceedings, 2016, pp. 209-212.

Publisher : GHTC 2016 - IEEE Global Humanitarian Technology Conference: Technology for the Benefit of Humanity, Conference Proceedings, Institute of Electrical and Electronics Engineers Inc.

Year : 2012

Spatio-Temporal Querying in Smart Spaces

Cite this Research Publication : Dr. Vivek Menon, Jayaraman, B., and Govindaraju, V., “Spatio-Temporal Querying in Smart Spaces”, in Proc. of 3rd International Conference on Ambient Systems, Networks and Technologies (ANT-2012), Ontario, Canada, 2012, vol. 10, pp. 366–373

Publisher : ANT-2012

Year : 2011

Spatio-Temporal Reasoning in Biometrics Based Smart Environments

Cite this Research Publication : Dr. Vivek Menon, Jayaraman, B., and Govindaraju, V., “Spatio-Temporal Reasoning in Biometrics Based Smart Environments”, in Proc. of 2nd International Conference on Ambient Systems, Networks and Technologies (ANT-2011), Ontario, Canada, 2011, vol. 5, pp. 378–385.

Publisher : Elsevier Science

Year : 2008

Integrating Recognition and Reasoning in Smart Environments

Cite this Research Publication : Dr. Vivek Menon, Jayaraman, B., and Govindaraju, V., “Integrating Recognition and Reasoning in Smart Environments”, in Proc. of the 4th IET Conference on Intelligent Environments (IE’ 08), Seattle, USA, 2008.

Publisher : Proc. of the 4th IET Conference on Intelligent Environments (IE’ 08)

Year : 2008

Biometrics Driven Smart Environments: Abstract Framework and Evaluation

Cite this Research Publication : Dr. Vivek Menon, Jayaraman, B., and Govindaraju, V., “Biometrics Driven Smart Environments: Abstract Framework and Evaluation”, in Proc. of the 5th International Conference on Ubiquitous Intelligence and Computing (UIC-08), Oslo, Norway, 2008, vol. 5061 LNCS, pp. 75-89

Publisher : Proc. of the 5th International Conference on Ubiquitous Intelligence and Computing (UIC-08), Springer-Verlag

Year : 2006

Adaptation in Pervasive Computing Environments: A Multi-Agent Approach

Cite this Research Publication : Dr. Vivek Menon, “Adaptation in Pervasive Computing Environments: A Multi-Agent Approach”, in Proc. of International Symposium on Ad Hoc and Ubiquitous Computing (ISAHUC'06), Surathkal, India, 2006

Publisher : Proc. of International Symposium on Ad Hoc and Ubiquitous Computing (ISAHUC'06), IEEE Press

Year : 2003

Exploiting Mobile Multiagent Systems for Multiclass Proximal Support Vector Classification

Cite this Research Publication : Dr. Vivek Menon and Diwakar, S., “Exploiting Mobile Multiagent Systems for Multiclass Proximal Support Vector Classification”, in Proc. of 13th International Conference on Artificial Neural Networks in Engineering (ANNIE 2003), St. Louis, USA, Volume 13, Pages 187-192, 2003.

Publisher : Scopus, Intelligent Engineering Systems Through Artificial Neural Networks, Amer Society of Mechanical Engineers (ASME) Press, St. Louis, USA

Journal Article

Year : 2025

Hybrid CNN-BiLSTM Architecture With Multiple Attention Mechanisms To Enhance Speech Emotion Recognition

Cite this Research Publication : Poorna S.S., Vivek Menon, Sundararaman Gopalan, Hybrid CNN-BiLSTM architecture with multiple attention mechanisms to enhance speech emotion recognition, Biomedical Signal Processing and Control, Elsevier BV, 2025, https://doi.org/10.1016/j.bspc.2024.106967

Publisher : Elsevier BV

Year : 2024

Adaptive Coverage Optimization for Energy-Constrained Multicamera Surveillance Networks

Cite this Research Publication : M. S. SURESHMS, Vivek Menon, Venu Govindaraju, Adaptive Coverage Optimization for Energy-Constrained Multicamera Surveillance Networks, IEEE Sensors Journal, Institute of Electrical and Electronics Engineers (IEEE), 2024, https://doi.org/10.1109/JSEN.2024.3460536

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2024

FringeNet: A cyclic U-Net model with continuity imposed hybrid cyclic loss for demodulation of isochromatics in digital photoelasticity

Cite this Research Publication : Vishnu Mohan M. S., Hariprasad M. P., Vivek Menon, FringeNet: A cyclic U-Net model with continuity imposed hybrid cyclic loss for demodulation of isochromatics in digital photoelasticity, Optics and Lasers in Engineering, Elsevier BV, 2024, https://doi.org/10.1016/j.optlaseng.2024.108428

Publisher : Elsevier BV

Year : 2022

A Generic and Scalable Approach to Maximize Coverage in Diverse Indoor and Outdoor Multicamera Surveillance Scenarios

Cite this Research Publication : Dr. Sumi Suresh M. S. and Dr. Vivek Menon, "A Generic and Scalable Approach to Maximize Coverage in Diverse Indoor and Outdoor Multicamera Surveillance Scenarios," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, doi: 10.1109/TSMC.2022.3194209

Publisher : IEEE Transactions on Systems, Man, and Cybernetics: Systems

Year : 2022

An Efficient Graph Based Approach for Reducing Coverage Loss from Failed Cameras of a Surveillance Network

Cite this Research Publication : Dr. Sumi Suresh M. S. and Dr. Vivek Menon, "An Efficient Graph Based Approach for Reducing Coverage Loss from Failed Cameras of a Surveillance Network", IEEE Sensors Journal, Vol. 22, no. 8, pp. 8155-8163, 2022, doi: 10.1109/JSEN.2022.3157819.

Publisher : IEEE Sensors Journal, IEEE

Year : 2020

Modelling large scale camera networks for identification and tracking: an abstract framework

Cite this Research Publication : Lakshmi Mohan and Dr. Vivek Menon, “Modelling large scale camera networks for identification and tracking: an abstract framework”, IET Computer Vision, vol. 14, pp. 426-433, 2020.

Publisher : IET Computer Vision

Year : 2020

Maximizing Camera Coverage in Multi-camera Surveillance Networks

Cite this Research Publication : Dr. Sumi Suresh M. S., Dr. Athinarayanan S., and Dr. Vivek Menon, “Maximizing Camera Coverage in Multi-camera Surveillance Networks”, IEEE Sensors Journal, vol. 20, no. 17, pp. 10170-10178, 2020, doi: 10.1109/JSEN.2020.2992076.

Publisher : IEEE Sensors Journal, IEEE

Year : 2014

Probabilistic Spatio-Temporal Retrieval in Smart Spaces

Cite this Research Publication : V. Menon, B. Jayaraman, V. Govindaraju, “Probabilistic Spatio-Temporal Retrieval in Smart Spaces”, Journal of Ambient Intelligence and Humanized Computing, Springer-Verlag Berlin Heidelberg, vol. 5, no. 3, pp. 383–392, 2014. DOI: https://doi.org/10.1007/s12652-013-0199-2

Publisher : Springer

Year : 2013

Enhancing Biometric Recognition with Spatio-Temporal Reasoning in Smart Environments

Cite this Research Publication : Dr. Vivek Menon, Jayaraman, B., and Govindaraju, V., “Enhancing Biometric Recognition with Spatio-Temporal Reasoning in Smart Environments”, Journal of Personal and Ubiquitous Computing, vol. 17, pp. 987–998, 2013

Publisher : Journal of Personal and Ubiquitous Computing, Springer

Year : 2011

The Three Rs of Cyberphysical Spaces

Cite this Research Publication : V. Menon, B. Jayaraman, V. Govindaraju, "The Three Rs of Cyberphysical Spaces", IEEE Computer, vol. 44, pp. 73–79, 2011. DOI Bookmark: 10.1109/MC.2011.59

Publisher : IEEE

Year : 2010

Multimodal Identification and Tracking in Smart Environments

Cite this Research Publication : V. Menon, B. Jayaraman, V. Govindaraju, “Multimodal Identification and Tracking in Smart Environments”, Journal of Personal and Ubiquitous Computing 14(8), pp. 685-694, 2010, Elsevier. DOI: https://doi.org/10.1007/s00779-010-0288-6

Publisher : Elsevier

Courses Taught
  • Deep Learning [B.Tech.]
  • Deep Learning for Signal and Image Processing [B.Tech]
  • Mathematics for Intelligent Systems 1 [B.Tech]
  • Mathematics for Computing 1 [B.Tech]
Positions
  • Visiting Research Scientist, Center for Unified Biometrics and Sensors (CUBS), State University of New York (SUNY) at Buffalo, USA.
  • Senior Member, IEEE & IEEE Computer Society
  • Senior Member, ACM
  • NVIDIA Deep Learning Institute(DLI) University Ambassador
  • Life Member, Analytics Society of India
Invited Articles
  • ‘Smart Environments’, MANORAMA YEARBOOK 2012, pp. 269-272.
Invited Talks/ Lectures/Presentations
  • Conference paper presentation titled ‘Deep Learning Based Generation of Cerebral Blood Flow CT Perfusion Images from Non-Contrast CT Scans of Ischemic Stroke Patients’, at 2024 IEEE 21st India Council International Conference (INDICON), IIT Kharagpur, India from December 19-21, 2024.
  • Invited Technical session titled ‘Deep Learning Based Evaluation of Non-Contrast CT Scans of Ischemic Stroke Patients’, as part of Workshop on Indo-US Initiatives, 30th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2023), Goa, India, from July 18-21, 2023.
  • Invited Technical session titled ‘Quick Rewind & Summary on Data Analytics in Industry 4.0’ as part Faculty Development Programme (FDP) on ‘Data Analytics for the New Industrial Era: Application of ML in Industry 4.0’, organized by the Department of Computer Science and Engineering, TKM College of Engineering, Kollam, Kerala from January 23-28, 2023
  • Invited Technical session titled ‘Data Analysis and Visualization’ as part Faculty Development Programme (FDP) on ‘Advances in Interdisciplinary Research: Methods and Frameworks’, organized by the Department of Electronics and Communication Engineering and the Department of Computer Science and Engineering, GEC Wayanad, Kerala from December 12-16, 2022.
  • Invited Technical talk titled ‘Deep learning based Early stroke detection with Non-contrast CT scans’ as part of 2-day CME on Artificial Intelligence and Machine Learning in Medicine, jointly organized by y Amrita Institute of Medical Sciences, Kochi campus, and ICMR National Institute of Medical Statistics (ICMR-NIMS) from April 29 – 30, 2022
  • Invited Lightning talk titled ‘Intelligent Tracking and Querying in Indoor Multi-camera Surveillance Environments’ under the AI for Surveillance and Safety theme of International Symposium on AI for Social Good (AISG 2021) organized by Department of Computer Science, Amrita Vishwa Vidyapeetham from June 30 – July 3, 2021
  • Webinar titled ‘Data Science Demystified’ organized by Department of Computer Science, Amrita Vishwa Vidyapeetham on July 6, 2020 https://www.youtube.com/watch?v=ox_SYgyakC4
  • Invited Technical session titled ‘INTRODUCTION TO PREDICTIVE ANALYTICS’ as part of the 10-day AICTE-sponsored Faculty Development Programme (FDP) on Predictive Analytics, organized by the Department of Computer Applications, SAINTGITS College of Engineering, Kottayam, Kerala from October 9 – 19, 2019.
  • Invited Technical talks titled ‘Ensemble Models: An Introduction, and ‘Association Rules and Collaborative Filtering – An Introduction’ as part of the 5-day National level Faculty Development Program on Demystifying Machine Learning – DML 2018, jointly organized by the Department of Computer Science and the Department of Mathematics, at Amrita Vishwa Vidyapeetham, Amritapuri campus, Kollam, Kerala from December 10 – 14, 2018.
Patents
  • Sumi Suresh M.S. & Vivek Menon, System and Method for Efficient Reconfiguration of Surveillance Networks, 2022 [Status: Filed]
  • Sumi Suresh M.S. & Vivek Menon, ‘System and methods for designing an optimal multi-camera surveillance network’, 2021. [Status: Filed]
  • Vishnu Mohan, Hariprasad M., & Vivek Menon, ‘A system for demodulating fringe order from isochromatic images’, 2024 [Status: Filed]
  • Anuraj K & Vivek Menon, ‘Integrating graph signal processing and deep learning for parkinson’s disease detection’, 2024 [Status:Filed]
  • Sumi Suresh M.S. & Vivek Menon, ‘Method for camera coverage optimization under energy constraints‘, 2025 [Status: Filed]
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