Mehul S Raval

@ahduni.edu.in

Professor, School of Engineering and Applied Science
Ahmedabad University

Mehul S Raval
Dr Mehul S. Raval is a leading academic and researcher with more than 27+ years of distinguished experience in higher education, specialising in Electronics and Communication Engineering, Information and Communication Technology, and Computer Science and Engineering. He earned his Bachelor’s (Electronics and Telecommunication Engineering, 1996), Master’s (Digital Systems, 2002), and PhD (Electronics and Telecommunication Engineering, 2008) from the University of Pune, India. Currently he serves as a Professor at Ahmedabad University. Dr Raval has held pivotal roles including Associate Dean for Experiential Learning at Ahmedabad University from 2020 to 2024. He was the founding head and professor of the ICT department at the School of Technology, PDPU, Gandhinagar, and has previously served as faculty at SCET, Surat, DA-IICT Gandhinagar, and Ahmedabad University.

Dr Raval’s research portfolio is extensive, spanning computer vision, image processing, machine learning, data analytics,

EDUCATION

PhD Electronics and Telecommunication Engineering, University of Pune

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computer Science
117

Scopus Publications

1893

Scholar Citations

22

Scholar h-index

40

Scholar i10-index

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

  • Single-Camera Barbell Trajectory Analysis for the Snatch Lift
    D Shah, H Raval, C Taber, T Kaya, E Maddox, MS Raval
    SN Computer Science 7 (4), 297 , 2026
    2026
  • Data-Driven Imputation for Cohort Studies Using Collegiate Basketball Data
    S Sharma, H Raval, V Barot, S Divakaran, T Kaya, C Taber, MS Raval
    SN Computer Science 7 (4), 288 , 2026
    2026
  • Descriptor: Drone Nadir-view Annotated Images of Vehicles Detection Dataset for India with Heading-angle Oriented Bounding Box (DRASHTI-HaOBB)
    YM Bhavsar, MS Zaveri, MS Raval, KR Patel, SB Zaveri
    IEEE Data Descriptions , 2026
    2026
  • Attention-gated U-Net model for semantic segmentation of brain tumors and feature extraction for survival prognosis
    R Pate, S Rajput, MS Raval, RA Kapdi, M Roy
    arXiv preprint arXiv:2602.15067 , 2026
    2026
  • Interpretable Athlete Performance Modelling in Collegiate Basketball: A Review of Machine Learning and Computer Vision Methods
    S Sharma, S Divakaran, T Kaya, C Taber, MS Raval
    TechRxiv, 1 - 54 , 2026
    2026
  • Efficient Beam Prediction for 6G V2I Networks using Liquid Time-Constant Neural Networks
    K Kalaria, DK Patel, MS Raval, M Zaveri
    2026 18th International Conference on COMmunication Systems and NETworks … , 2026
    2026
  • Sports Data Analytics: Techniques, Applications, and Innovations
    MS Raval, T Kaya, NS Artan, C Taber
    Springer Singapore, ISBN: 978-981-95-5131-6 , 2026
    2026
  • Designing a Data-Driven Athlete Management System for Optimizing Basketball Performance
    S Sharma, S Naik, S Senbel, MS Raval
    Sports Data Analytics: Techniques, Applications, and Innovations, 31-49 , 2026
    2026
  • An Analytical Framework for Modelling, Analysis and Prediction of Athletes’ Game Performance
    S Sharma, T Kaya, MS Raval, S Divakaran
    Sports Data Analytics: Techniques, Applications, and Innovations, 73-88 , 2026
    2026
  • Enhancing Basketball Strategy: Recommending Optimal Athlete Lineups
    S Sharma, S Divakaran, T Kaya, CB Taber, MS Raval
    Sports Data Analytics: Techniques, Applications, and Innovations, 163-185 , 2026
    2026
  • Hydrodynamics in a Both-Side-Heated Square Enclosure in Laminar Regime Under Constant Heat Flux Using Computational Fluid Dynamics and Deep Learning Methodology
    AA Ganguli, SS Deshpande, MS Raval
    Fluids 10 (12), 309 , 2025
    2025
  • Multi-Query Person Retrieval on Edge Devices
    J Chaudhari, H Raval, H Galiyawala, P Sharma, MS Raval
    International Symposium on Visual Computing, 340-351 , 2025
    2025
  • A systematic review on deep learning for atmospheric correction of satellite images
    M Shah, MS Raval, S Divakaran
    Archives of Computational Methods in Engineering, 1-31 , 2025
    2025
    Citations: 4
  • A Data-Driven Imputation Scheme for Cohort Studies: A Collegiate Basketball Casestudy
    S Sharma, V Barot, S Divakaran, T Kaya, CB Taber, MS Raval
    International Sports Analytics Conference and Exhibition, 235-252 , 2025
    2025
  • Barbell Trajectory Tracking for Performance Analysis During Snatch Movement in Weightlifting
    D Shah, C Taber, T Kaya, E Maddox, MS Raval
    International Sports Analytics Conference and Exhibition, 218-234 , 2025
    2025
    Citations: 1
  • Evaluating defensive driving behaviour based on safe distance between vehicles: A case study using computer vision on UAV videos at urban roundabout
    YM Bhavsar, MS Zaveri, MS Raval, SB Zaveri
    Multimodal Transportation 4 (3), 100227 , 2025
    2025
    Citations: 4
  • Performance Evaluation and Analysis of Deep Learning Based Season-Aware Atmospheric Correction Model on Nvidia Jetson Agx Orin
    M Shah, J Chaudhari, MS Raval, S Divakaran
    IGARSS 2025-2025 IEEE International Geoscience and Remote Sensing Symposium … , 2025
    2025
    Citations: 1
  • Dynamic Spectrum Coexistence of NR-V2X and Wi-Fi 6E using Deep Reinforcement Learning
    KD Shah, DK Patel, B Soni, S Govindasamy, MS Raval, M Zaveri
    IEEE Open Journal of the Computer Society , 2025
    2025
    Citations: 2
  • Analysis of Weightlifting Success Predictability Using Machine Learning
    J Camaran, Y Ukawa, T Reis, C Taber, WG Hornsby, A Long, M Raval, ...
    International Conference on Computational Science and Its Applications, 179-199 , 2025
    2025
    Citations: 1
  • BEACON: Beam Prediction with Efficiency for Advanced V2I Communication Networks
    K Kalaria, DK Patel, MS Raval, M Zaveri, SN Merchant
    2025

MOST CITED SCHOLAR PUBLICATIONS

  • Discrete wavelet transform based multiple watermarking scheme
    MS Raval, PP Rege
    TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region 3 … , 2003
    2003
    Citations: 296
  • A robust and secure watermarking scheme based on singular values replacement
    AK Gupta, MS Raval
    Sadhana 37 (4), 425-440 , 2012
    2012
    Citations: 160
  • Disease Detection and Severity Estimation in Cotton Plant from Unconstrained Images
    A Parikh, MS Raval, S Chaudhary
    3rd IEEE International Conference on Data Science and Advanced Analytics … , 2016
    2016
    Citations: 118
  • Brain Tumor Segmentation and Survival Prediction
    R Agravat, MS Raval
    Lecture Notes in Computer Science 11922 (1), 338 - 348 , 2020
    2020
    Citations: 85
  • 3D Semantic Segmentation of Brain Tumor for Overall Survival Prediction
    R Agravat, MS Raval
    LNCS - Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain … , 2021
    2021
    Citations: 65
  • Image and Video Compression: Fundamentals, Techniques and Applications
    MA Joshi, MS Raval, YH Dandawate, KR Joshi, SP Metkar
    CRC Press / Chapman and Hall , 2014
    2014
    Citations: 53
  • Deep Learning for Brain Tumor Segmentation
    R Agravat, MS Raval
    Soft Computing Based Medical Image Analysis , 2018
    2018
    Citations: 48
  • Impact of sleep and training on game performance and injury in division-1 women’s basketball amidst the pandemic
    S Senbel, S Sharma, MS Raval, C Taber, J Nolan, NS Artan, D Ezzeddine, ...
    Ieee Access 10, 15516-15527 , 2022
    2022
    Citations: 41
  • A holistic approach to performance prediction in collegiate athletics: player, team, and conference perspectives
    C Taber, S Sharma, MS Raval, S Senbel, A Keefe, J Shah, E Patterson, ...
    Scientific Reports 114 (1162) , 2024
    2024
    Citations: 38
  • A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival Prediction
    R Agravat, MS Raval
    Archives of Computational Methods in Engineering - State of the art reviews , 2021
    2021
    Citations: 38
  • Prediction of overall survival of brain tumor patients
    RR Agravat, MS Raval
    TENCON 2019-2019 IEEE Region 10 Conference (TENCON), 31-35 , 2019
    2019
    Citations: 37
  • Insider threat detection: machine learning way
    MS Raval, R Gandhi, S Chaudhary
    Versatile cybersecurity, 19-53 , 2018
    2018
    Citations: 37
  • Identification of free-ranging mugger crocodiles by applying deep learning methods on UAV imagery
    B Desai, A Patel, V Patel, S Shah, MS Raval, R Ghosal
    Ecological Informatics 72, 101874 , 2022
    2022
    Citations: 35
  • Interpretable machine learning model to predict survival days of malignant brain tumor patients
    S Rajput, RA Kapdi, MS Raval, M Roy
    Machine Learning: Science and Technology 4 (2), 025025 , 2023
    2023
    Citations: 34
  • A Data-Driven Stochastic Approach for Unmixing Hyperspectral Imagery
    J Bhatt, M Joshi, MS Raval
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote … , 2014
    2014
    Citations: 33
  • Vision-based investigation of road traffic and violations at urban roundabout in India using UAV video: A case study
    YM Bhavsar, MS Zaveri, MS Raval, SB Zaveri
    Transportation Engineering 14, 100207 , 2023
    2023
    Citations: 32
  • Person Retrieval in Surveillance Video using Height, Color and Gender
    H Galiyawala, K Shah, V Gajjar, MS Raval
    15th IEEE International Conference on Advanced Video and Signal Based … , 2019
    2019
    Citations: 31
  • A triplanar ensemble model for brain tumor segmentation with volumetric multiparametric magnetic resonance images
    S Rajput, R Kapdi, M Roy, MS Raval
    Healthcare Analytics 5, 100307 , 2024
    2024
    Citations: 26
  • Multiresolution Image Fusion: Use of Compressive Sensing and Graph Cuts
    V Harikumar, PP Gajjar, MV Joshi, MS Raval
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote … , 2014
    2014
    Citations: 26
  • CheckIt-A low cost mobile OMR system
    R Patel, S Sanghavi, D Gupta, MS Raval
    TENCON 2015-2015 IEEE Region 10 Conference, 1-5 , 2015
    2015
    Citations: 24