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Prof. Manish Kumar Bajpai

Associate Professor

Department of Computer Science and Engineering

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Information

Room No: Room No.: CS 140, Faculty Cluster, CSE Department +91-870-2462705 mkbajpai@nitw.ac.in https://wsdc.nitw.ac.in/facultynew/facultyprofile/id/17104 Bio Sketch

    Key Notes

    • Journal(s): 35
    • Conference(s): 33
    • Text Book(s): 3
    • PhD: Current - 5  Awarded - 8
    • Event(s) Organized: Conference - 1

    71

    PUBLICATIONS

    13

    DOCTORAL STUDENTS

    9

    PROJECTS

    7

    PATENTS

    Research Areas

    Augmented Intelligence
    Engineering Applications of Fractional Calculus
    High Performance Computing
    Image Reconstruction, Machine Vision
    Mesh Free Computations
    EDUCATION QUALIFICATION
    Degree Institute Year
    Doctor of Philosophy IIT Kanpur 2013
    Bachelor of Technology UPTU Lucknow 2006
    COURSES HANDLED
    Course L-T-P Credit Degree Level
    Advanced Algorithms(CS26001) 3-0-0 3 PG
    Advanced Algorithms(CS16001) 3-0-0 3 PG
    Computer Vision & Image Processing(CS5113) 3-0-0 3 UG, PG
    Advanced Algorithms(CS354) 3-0-0 3 UG
    Design Thinking(CS2102) 0-1-4 3 UG
    RESEARCH IDs
    ORCID
    ORC ID
    Scopus
    SCOPUS ID
    Google Scholar
    Google Scholar ID
    PUBLICATIONS
    Journal(s)
    Multi domain feature fusion model for EEG based biomedical signal analysis in depression detection with a reduced electrode configuration, By Shubham Choudhary, Kusum K Bharti, Manish Bajpai, IOP Science, Measurement Science and Technology, vol.36(5), pp.056002, 2025
    Computer aided diagnostic system with reduced electrode set for depression detection using spatio-temporal attention mechanism, By Shubham Choudhary, Manish Bajpai, and Kusum Kumari Bharti, Elsevier, Measurement, vol.239, pp.115500, 2025
    Hybrid Priority-based Genetic Algorithm for Limited-view Computed Tomography, By Raghvendra Mishra, Manish Bajpai, Springer, Multimedia Tools and Applications, vol.84, pp.13089–13109, 2025
    Comparative Estimation of the Spread of Acute Diarrhea and Dengue in India using Statistical Mathematical and Deep Learning Models, By Abhinav Sharma, Avaneesh Singh, Krishna Kumar Sharma, Kailash Wamanrao Kalare, Ashutosh Tripathi, Manish Bajpai, Springer Nature, Scientific Report, vol.4672, pp., 2025
    A Novel Multi-Agent Genetic Algorithm for Limited-View Computed Tomography, By Raghvendra Mishra, Manish Bajpai, Elsevier, Expert Systems with Applications, vol.238, pp.122195, 2024
    Patient centric trustworthy AI in medical analysis and disease prediction: A Comprehensive survey and taxonomy, By Avaneesh Singh, Krishna Kumar Sharma, Manish Bajpai, Antonio Sarasa-Cabezuelo , Elsevier, Applied Soft Computing, vol.167, pp.112374, 2024
    Electrode subset selection to lessen the complexity of brain activity measurement using eeg for depression detection, By Shubham Choudhary, Manish Bajpai, and Kusum Kumari Bharti, SAGE, Transactions of the Institute of Measurement and Control, vol.46(14) , pp.2782–2794, 2024
    Spatio-temporal features based deep learning model for depression detection using two electrodes, By Shubham Choudhary, Kusum K Bharti, Manish Bajpai, IOP Science, Measurement Science and Technology, vol.35(8), pp.086015, 2024
    A priority-based self-guided serial–parallel genetic algorithm for low-dose computed tomography, By Raghvendra Mishra, Manish Bajpai, Elsevier, Applied Soft Computing, vol.157, pp.111520, 2024
    Efficient Machine Learning and Factional Calculus Based Mathematical Model for Early COVID Prediction, By Saroj Chandra, Manish Bajpai, Springer, Human-Centric Intelligent Systems, vol.3(4) , pp.508-520, 2023
    A Deep Learning-Based Approach to Detect Correct Suryanamaskara Pose, By Ujjayanta Bhaumik, Koushlendra Kumar Singh, Akbar Sheikh Akbari, Manish Bajpai, Springer, SN Computer Science, vol.3(5), pp.337, 2022
    Hybrid multiagent based adaptive genetic algorithm for limited view tomography using oppositional learning, By Raghvendra Mishra, Manish Bajpai, Elsevier, Biomedical Signal Processing & Control, vol.75, pp.1-11, 2022
    Fractional Model with Social Distancing Parameter for Early Estimation of COVID-19 Spread, By Saroj Chandra, Manish Bajpai, Springer, Arabian Journal for Science and Engineering, vol.47, pp.209-218, 2022
    Deep Neural Network for Beam Hardening Artifacts Removal in Image Reconstruction, By Kailash W Kalare, Manish Bajpai, Springer, Applied Intelligence, vol.52, pp.6037-6056, 2022
    Deep learning capabilities for the categorization of microcalcification, By Koushlendra Singh, Suraj Kumar, Marios Antonakakis, Konstantina Moirogiorgou, Anirudh Deep, Kanchan Lata Kashyap, Manish Bajpai, Michalis Zervakis, MDPI, International Journal of Environmental Research and Public Health, vol.19, pp.2159, 2022
    A Priority Based Genetic Algorithm for Limited View Tomography, By Raghvendra Mishra, Manish Bajpai, Springer, Applied Intelligence, vol.51, pp.6968–6982, 2021
    Kalman Filter Based Short Term Prediction Model for SARS-COV-2 Spread, By Koushlendra K Singh, Suraj Kumar, Prachi Dixit, Manish Bajpai, Springer, Applied Intelligence, vol.51, pp.2714–2726, 2021
    Design of Fractional Calculus based Differentiator for Edge detection in Color images, By Santosh Mishra, Koushlendra K Singh, Richa Dixit, Manish Bajpai, Springer, Multimedia Tools and Applications, vol.80, pp.29965–29983, 2021
    Study of Non-Pharmacological Interventions on COVID-19 Spread, By Avaneesh Singh, Saroj Chandra, Manish Bajpai, Tech Science Press, Computer Modeling in Engineering & Sciences, vol.125(3), pp.967-990, 2020
    SEIHCRD Model for COVID-19 spread scenarios, disease predictions and estimates the basic reproduction number, case fatality rate, hospital, and ICU beds requirement, By Avaneesh Singh, Saroj Chandra, Manish Bajpai, Tech Science Press, Computer Modeling in Engineering & Sciences, vol.125(3), pp.991-1031, 2020
    Brain Tumor Detection and Segmentation using Mesh-Free Super-Diffusive Model, By Saroj Chandra, Manish Bajpai, Springer, Multimedia Tools and Applications, vol.79, pp.2653–2670, 2020
    Fractional Mesh-Free Linear Diffusion Method For Image Enhancement and Segmentation for Automatic Tumor Classification, By Saroj Chandra, Manish Bajpai, Elsevier, Biomedical Signal Processing & Control, vol.58, pp.1- 9, 2020
    Efficient Three Dimensional Super-Diffusive Model for Benign Brain Tumor Segmentation, By Saroj Chandra, Manish Bajpai, Springer, European Physical Journal Plus, vol.135, pp.419:1- 8, 2020
    Fractional Crank-Nicolson Finite Difference Method for Benign Brain Tumor Detection and Segmentation, By Saroj Chandra, Manish Bajpai, Elsevier, Biomedical Signal Processing & Control, vol.60, pp.1-8, 2020
    RecDNN: Deep Neural Network for Image Reconstruction from Limited View Projection Data, By Kailash W Kalare, Manish Bajpai, Springer, Soft Computing, vol.24, pp.17205–17220, 2020
    Mesh Free Alternate Directional Implicit Method Based Three Dimensional Super-Diffusive Model for Benign Brain Tumor Segmentation, By Saroj Chandra, Manish Bajpai, Elsevier, Computer and Mathematics with Applications, vol.77, pp.3212-3223, 2019
    An Efficient Algorithm for Mass Detection and Shape Analysis of Different Masses Present in Digital Mammograms, By Kanchanlata Kashyap, Manish Bajpai, Pritee Khanna, Springer, Multimedia Tools and Applications, vol.77, pp.9249-9269, 2018
    A Novel Approach for Enhancement of Geometric and Contrast Resolution Properties of Low Contrast Images, By Koushlendra K Singh, Manish Bajpai, R K Pandey, IEEE, IEEE Journal of Automatica Sinica, vol.5(2), pp. 628-638, 2018
    Mesh Free based Variational Level Set Evolution for Breast Region Segmentation and Abnormality Detection using Mammograms, By Kanchanlata Kashyap, Manish Bajpai, Pritee Khanna, George Giakos, Wiley, International Journal for Numerical Methods in Biomedical Engineering, vol.34(1), pp.1-20, 2018
    Mesh Free Approach for Enhancement of Mammograms, By Kanchanlata Kashyap, Manish Bajpai, Pritee Khanna, George Giakos, IEEE, IET Image Processing, vol.12(3), pp.299-306, 2018
    Globally Supported Radial Basis Function based Collocation Method for Evolution of Level Set in Mass Segmentation using Mammograms, By Kanchanlata Kashyap, Manish Bajpai, Pritee Khanna, Elsevier, Computers in Biology and Medicine, vol.87:, pp.22-37, 2017
    A novel non-invasive method for extraction of geometric and texture features of wood, By Koushlendra K Singh, Manish Bajpai, R K Pandey, Prabhat Munshi, Taylor & Francis, Research in Non-destructive Evaluation, vol.28(3), pp.150-167, 2017
    Fast multi-processor multi GPU based algorithm of tomographic inversion for 3D reconstruction, By Manish Bajpai, P Gupta, P Munshi, SAGE, International Journal of High performance computing applications, vol.29 , pp.64-72, 2015
    A GPU Based Parallel implementation of MART algorithm, By Manish Bajpai, P Gupta, P Munshi, V Titarenko, P J Withers, Taylor & Francis, Research in Nondestructive Evaluation, vol.24(4), pp.211-222, 2013
    High Resolution 3D Image Reconstruction using Algebraic Method for X-ray Cone-Beam Geometry over Circular and Helical Trajectories, By Manish Bajpai, P Munshi, P Gupta, C Schorr, M Maisl, Elsevier, NDT & E International, vol.60, pp.62-69, 2013
    Conference(s)
    Efficient Depression Detection through Two EEG Electrodes with Wave-SpatialNet By Shubham Choudhary, Manish Kumar Bajpai, and Kusum Kumai Bharti, ICTCon, 2024
    A Time-dependent mathematical model for COVID 19 transmission dynamics and analysis of critical and hospitalized cases with bed requirement By Avaneesh Singh, Manish Bajpai, Shyam lal Gupta, International Conference on Machine Vision and Augmented Intelligence (MAI), 2022
    A compartmental mathematical model of COVID19 intervention schenarios for Mumbai By Avaneesh Singh, Manish Bajpai, International Conference on Machine Vision and Augmented Intelligence (MAI), 2022
    Multiagent Based GA for Limited View Tomography By Raghvendra Mishra, Manish Bajpai, International Conference on Machine Vision and Augmented Intelligence (MAI), 2021
    Mathematical Model with Social Distancing Parameter for Early Estimation of COVID-19 spread By Avaneesh Singh, Saroj Kumar Chandra, Manish Bajpai, International Conference on Machine Vision and Augmented Intelligence (MAI), 2021
    Three Dimensional Fractional Operator for Benign Tumor Region Detection By Saroj Kumar Chandra, Abhisek Shrivastava, Manish Bajpai, International Conference on Machine Vision and Augmented Intelligence (MAI), 2021
    Self-guided Genetic Algorithm for Limited View Tomography By Raghvendra Mishra, Manish Bajpai, IEEE international Conference on Imaging Science and Techniques (IST), 2021
    Image Reconstruction Using Deep Convolutional Neural Network By M Sreerisha, Gargi Yadav, Saroj Chandra, Manish Bajpai, International Conference on Artificial Intelligence and Signal Processing (AISP), 2020
    Parallel GPU Based Offline Signature Verification Model By Amit Kumar Kar, Saroj Kumar Chandra, IEEE INDICON, 2019
    Classification of Breast Tissues Density By Kanchanlata Kashyap, Manish Bajpai, Pritee Khanna, International Conference on Computer Vision and Image Processing (CVIP), 2019
    Fractional Anisotropic Diffusion Model for Image Smoothing By Saroj Kumar Chandra, Manish Bajpai, 8th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO), 2019
    Finite Difference Method Based Super-Diffusive Model for Benign Brain Tumor Segmentation By Saroj Kumar Chandra, Manish Bajpai, 8th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO), 2019
    Two sided implicit Euler based super diffusive model for Benign tumor segmentation By Saroj Kumar Chandra, Manish Bajpai, IEEE TENSYMP, 2019
    Image Enhancement Using Fractional Partial Differential Equation By Dharmendra Kumar Sharma, Saroj Kumar Chandra, Manish Bajpai, International Conference on Advanced Computational and Communication Paradigm (ICACCP), 2019
    Fractional Order Savitzky-Golay Differentiator based Approach for Mammogram Enhancement By Koushlendra Kumar Singh, Manish Bajpai, IEEE international Conference on Imaging Science and Techniques (IST), 2019
    Fractional Anisotropic Diffusion For Image Denoising By Saroj Kumar Chandra, Manish Bajpai, IACC, 2018
    Effective algorithm for benign brain tumor detection using fractional calculus By Saroj Kumar Chandra, Manish Bajpai, IEEE TENCON, 2018
    Fractional Order Differentiator based Edge Detection in Remote Sensing Images By Ayushi Jain, Akarsh Dang, Vandana Kumari, Koushlendra K Singh, B K Singh, Manish Bajpai, IEEE TENCON, 2017
    Fractional Order Differential based Breast Tissues Density Classification in Mammograms By Kanchanlata Kashyap, Manish Bajpai, Pritee Khanna, World Congress in Engineering and Computer Science, 2017
    Breast Tissues Density Classification in Mammograms based on Supervised Machine Learning Technique By Kanchanlata Kashyap, Manish Bajpai, Pritee Khanna, ACM COMPUTE, 2017
    A Non-Invasive method to study the strength of rosewood for different applications By Koushlendra K Singh, B K Singh, Manish Bajpai, Prabhat Munshi, 8th World Congress on Industrial Process Tomography, 2016
    Parallel Architecture based fast algorithm for image enhancement By Koushlendra K Singh, Durgesh Kumar, Subham Chauhan, Manish Bajpai, IEEE Bombay Section Symposium, 2015
    Breast cancer detection in digital mammograms By Kanchanlata Kashyap, Manish Bajpai, Pritee Khanna, IEEE international Conference on Imaging Science and Techniques (IST), 2015
    Fractional Order Differentiator based technique for drop size measurement in multi phase flow By Koushlendra K Singh, Manish Bajpai, R K Pandey, 7th International Symposium on process Tomography, 2015
    An efficient segmentation algorithm for breast cancer detection in mammograms By Kanchanlata Kashyap, Manish Bajpai, Pritee Khanna, 7th International Symposium on process Tomography, 2015
    A Novel Approach for Edge Detection of Low Contrast Satellite Images By Koushlendra K Singh, Manish Bajpai, R K Pandey, International Conference on Photogrammetric Image Analysis, 2015
    Reconstruction of original signal from contaminated signal using fractional order differentiator By Koushlendra K Singh, Manish Bajpai, R K Pandey, IEEE International Symposium on Signal Processing and Information Technology, 2015
    Edge detection in low contrast Images By Koushlendra K Singh, Manish Bajpai, R K Pandey, 17th International Conference on Image Processing, 2015
    High Strain rate response of layered micro balloon filled aluminum By P Venkitnarayanan, J Sorenson, Manish Bajpai, Conference Proceedings of the Society for Experimental Mechanics Series, 2014
    Climate change and Tomography By Manish Bajpai, P Munshi, P Gupta, B Pandey, Humbolt Korlag, 2013
    Multi-core CPU based three-dimensional image reconstruction for limited view tomography By Manish Bajpai, P Gupta, P Munshi, 7th world congress on industrial process tomography, 2013
    An Efficient GPU Based Parallel Algorithm for Image reconstruction: An Application to Tomographic Reconstruction By Manish Bajpai, P Gupta, P Munshi, Second IEEE International Conference on Parallel, Distributed and Grid Computing , 2012
    Performance Evaluation of Micro-CT X-ray scanner using Kanpur Theorems By Manish Bajpai, P Gupta, P Munshi, V Titarenko, P J Withers, International Workshop on Smart Materials & Structures in Aerospace and NDT in Canada , 2011
    Text Book(s)
    Machine Vision and Augmented Intelligence: Select Proceedings of MAI 2023 By Koushlendra Kumar Singh, Sangeeta Singh, Subodh Srivastava, Manish Kumar Bajpai (Published by: Springer), Edited Book, 2025
    Machine Vision and Augmented Intelligence: Select Proceedings of MAI 2022 By Koushlendra Kumar Singh, Manish Bajpai, Akbar S Akbari (Published by: Springer), , 2023
    Machine Vision and Augmented Intelligence: Theory and Applications By Manish Bajpai, Koushlendra Kumar Singh, George Giakos (Published by: Springer), , 2022
    Patent(s)
    A METHOD FOR IMAGE RECONSTRUCTION IN COMPUTED TOMOGRAPHY (CT) SCAN (202421072793, 2024)
    A MULTI-UTILITY LUGGAGE BAG WITH ERGONOMIC SEATING (202221056330, 2022)
    AN EFFICIENT USER FRIENDLY TWO ELECTRODE BASED DEPRESSION DETECTION SYSTEM AND A METHOD THEREOF TO REDUCE MEASUREMENT COMPLEXITY (202421028250, 2024)
    A NON-BIOMETRIC TOUCH-FREE RAILWAY ATTENDANCE SYSTEM AND A METHOD FOR OPERATION THEREOF (202221035867 A, 2022)
    LUGGAGE BAG (371869-001, 2022)
    MOISTURE DETECTION SYSTEM FOR DETECTING MOISTURE CONTENT OF STORED GRAINS AND METHOD OF ITS OPERATION THEREOF (202321053400, 2023)
    SYSTEM FACILITATING HEALTH MONITORING AND METHOD THEREOF (202221034528 A, 2022)
    PROJECT / CONSULTANCY
    High resolution three dimensional image reconstruction from sparse data over helical trajectories using nature inspired metaheuristic algorithms
    Role: Principal Investigator
    Type: Research
    Sponsor: CSIR
    Project Cost (INR): 2151965
    Date of Commencement: 14-02-2024  
    Duration: 36 Months
    Status: Ongoing
    Globally supported radial basis function based fractional order mesh free fast algorithms for image denoising and enhancement
    Role: Co-Principal Investigator
    Type: Research
    Sponsor: ISRO
    Project Cost (INR): 2477000
    Date of Commencement: 09-11-2023  
    Duration: 36 Months
    Status: Ongoing
    Fusion Technology Development of Electrical Tomography and Machine Learning for High Quality Waste Plastic Recycle
    Role: Co-Principal Investigator
    Type: Research
    Sponsor: DST
    Project Cost (INR): 872000
    Date of Commencement: 15-05-2024  
    Duration: 24 Months
    Status: Ongoing
    Design and Development of Centralized database of scholarship / Fellowship Awarded in S & T Sector
    Role: Principal Investigator
    Type: Research
    Sponsor: DST
    Project Cost (INR): 2412000
    Date of Commencement: 31-08-2020   Date of Completion: 29-03-2024
    Duration: 43 Months
    Status: Completed
    Activity Templating and Trend Estimation
    Role: Principal Investigator
    Type: Consultancy
    Sponsor: Bharat Electronics Limited (BEL)
    Project Cost (INR): 2586000
    Date of Commencement: 20-08-2019   Date of Completion: 31-12-2023
    Duration: 52 Months
    Status: Completed
    Bio-Inspired Computer Vision
    Role: Principal Investigator
    Type: Research
    Sponsor: USIEF
    Project Cost (INR): 500000
    Date of Commencement: 20-12-2019   Date of Completion: 31-12-2023
    Duration: 48 Months
    Status: Completed
    Mathematical and Computational Modelling of Epidemic Forecast and Disease Transformation
    Role: Principal Investigator
    Type: SPARC Project
    Sponsor: SPARC
    Project Cost (INR): 4899900
    Date of Commencement: 15-03-2019   Date of Completion: 14-03-2023
    Duration: 48 Months
    Status: Completed
    Privacy Enhancing Revocable Biometric Identities (PERBI)
    Role: Co-Principal Investigator
    Type: Research
    Sponsor: BRNS
    Project Cost (INR): 2878000
    Date of Commencement: 20-01-2017   Date of Completion: 30-09-2020
    Duration: 44 Months
    Status: Completed
    Parallel architecture based efficient algorithm for signature forgery detection
    Role: Principal Investigator
    Type: Research
    Sponsor: NVIDIA Corporation India
    Project Cost (INR): 125000
    Date of Commencement: 17-01-2018   Date of Completion: 31-12-2018
    Duration: 11 Months
    Status: Completed
    RESEARCH FELLOWS / PhD STUDENTS
    Current PhD Students
    Mr. Harshavardhan Deshaboina
    Area of Research: High Resolution 3D image reconstruction of Long Objects
    Mr. Sameer
    Area of Research: Computer Vision and Image Processing
    Mr. T Sujith Kumar
    Area of Research: Thought prediction
    Ms. Pragati Bhandari
    Area of Research: Thought prediction
    Ms. Srujana
    Area of Research: Thought Prediction
    Previous PhD Students
    Dr. Shubham Choudhary (2024)
    Area of Research: Augmented Intelligence
    Dr. Kailash Wamanrao Kalare (2021)
    Area of Research: Deep Learning, Image Reconstruction
    Dr. Avaneesh Singh (2021)
    Area of Research: Epidemic Prediction
    Dr. Raghvendra Mishra (2021)
    Area of Research: Image Reconstruction, Nature Inspired Algorithms
    Dr. Saroj Kumar Chandra (2020)
    Area of Research: Fractional Calculus, Image Processing, Mesh Free Computation
    Dr. Antriksh Goswami (2018)
    Area of Research: Evolutionary Algorithms
    Dr. Kanchan Lata Kashyap (2017)
    Area of Research: Medical Imaging
    Dr. Koushlendra Kumar Singh (2015)
    Area of Research: Image Processing, Fractional Calculus
    CONFERENCE / WORKSHOP / SYMPOSIUM / SHORT TERM COURSE / FACULTY DEVELOPMENT PROGRAMME
    MAI 2021
    12-Feb-2021 → 14-Dec-2025
    Event Type: Conference
    Role: Convenor
    Funding Agency: CSIR, SPARC, DRDO
    AWARDS AND ACCOLADES
    2025
    Editorial Board Member, Scientific Reports
    Editorial Board Member, BMC Artificial Intelligence
    2018
    NVIDIA GPU Grant
    2017
    Best Paper Award
    ADDITIONAL RESPONSIBILITIES
    •  Member, Department Research Committee (Continuing from August, 2025)
    •  PIC Research Students (Continuing from August, 2025)
    •  Member, Screening Cum Selection Committee for Food Safety Officer (Continuing from July, 2025)
    •  Centre Coordinator, NITW Non-Teaching Staff Recruitment (July, 2025 - July, 2025)
    •  Convener- Member, Department Purchase Committee (Continuing from July, 2025)
    •  Member, Center Computer Purchase Committee (Continuing from July, 2025)
    •  Member, Local Purchase Committee (Continuing from July, 2025)
    •  Faculty Advisor, MTech CSIS IInd Year (July, 2025 - November, 2025)
    •  Warden, Raman Hall of Residence (Continuing from July, 2025)
    •  Warden, Tagore Hall of Residence (Continuing from July, 2025)
    •  Warden, Vikram Sarabhai Hall of Residence (Continuing from July, 2025)
    •  Member, Institute PhD Admission Committee (Continuing from June, 2025)
    •  Convener, Committee for Vision Document 2047 "Governance" (February, 2025 - June, 2025)
    •  Member, Committee for Food Quality Standards (Continuing from January, 2025)
    •  Member, Committee to Suggest the Modalities to start new Department CDS (December, 2025 - February, 2025)
    •  Chairman, Hindi Translation Committee (December, 2024 - February, 2025)
    •  Coordinator, SAMRIDH Scheme (Continuing from October, 2024)
    •  Member, Skill Test Committee, TO Recruitment (September, 2024 - December, 2024)
    •  Member, Scrutiny Committee for TO recruitment (September, 2024 - November, 2024)
    •  Member, Purchase Committee I (August, 2024 - July, 2025)
    •  Faculty Advisor, CSE Minor (July, 2024 - July, 2025)
    •  Co-Coordinator, Institute ERP (Continuing from July, 2024)
    •  Member, Skill Test Committee, STO Recruitment (June, 2024 - August, 2024)
    •  Member, Written test Committee, DR Recruitment (June, 2024 - July, 2024)
    •  Coordinator, Result Committee, CSE Department (April, 2024 - August, 2025)
    •  Member, Scrutiny Committee for STO recruitment (February, 2024 - June, 2024)
    •  Member, Technical Excellence Award Committee (December, 2023 - August, 2024)
     Last updated on December 8, 2025