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    Prof. Manish Kumar Bajpai

    Associate Professor

    Department of Computer Science And Engineering

    National Institute of Technology, Warangal - 506004, Telangana, INDIA

    : mkbajpai@nitw.ac.in : 9425156289

    An Academician - High performance Computing, Augmented Intelligence in Healthcare ~ PhD in 3-Dimensional Image reconstruction using algebraic reconstruction methods over GPU and good technical background in design and development of algorithms in the field of Augmented Intelligence, Medical Imaging, and Cognitive Imaging.

     

    • Educational Qualification:

    PhD:  Parallel Algorithms & Image Reconstruction from IIT Kanpur, India, 2006-2013

    B.Tech: Information Technology from Uttar Pradesh Technical University, Lucknow, India 2002- 06.

     

     

    • Experience:

    Associate Professor, NIT Warangal, Nov 2023 - Till Date

    Assistant Professor, IIITDM Jabalpur, July 2013 - Nov 2023.

    Course Taught Previously

    UG level:

              

      1. Neuromorphic Engineering, IIITDM Jabalpur
      2. Reinforcement Learning, IIITDM Jabalpur
      3. Parallel Algorithms, IIITDM Jabalpur
      4. Parallel Computing, IIITDM Jabalpur
      5. Professional lab (Parallel Programming)
      6. Parallel Programming Using MPI
      7. Fundamentals of Computing, IIITDM Jabalpur
      8. Design and Analysis of Algorithms, IIITDM
      9. Operating System, IIITDM Jabalpur
      10. Computer Organization and Architecture, IIITDM Jabalpur

       

           PG level:

              

      1. Reinforcement Learning, IIITDM Jabalpur
      2. Neuromorphic Engineering, IIITDM Jabalpur
      3. Parallel Algorithms, IIITDM Jabalpur
      4. Fundamentals of Image Reconstruction, IIITDM Jabalpur

    Publications

    (a) Refereed SCI Listed International Journal:

    Published:

    1. Raghvendra Mishra, Manish Bajpai, “A Novel Multi-Agent Genetic Algorithm for Limited-View Computed Tomography”, Expert Systems with Applications, Elsevier, 238, 122195, 2024 https://doi.org/10.1016/j.eswa.2023.122195  (Impact Factor: 8.5). 
    2. Koushlendra Singh, Suraj Kumar, Marios Antonakakis, Konstantina Moirogiorgou, Anirudh Deep, Kanchan Lata Kashyap, Manish Bajpai, Michalis Zervakis, “Deep learning capabilities for the categorization of microcalcification”, International Journal of Environmental Research and Public Health, 19:2159, 2022 https://doi.org/10.3390/ijerph19042159  (Impact Factor: 4.614). 
    3. Raghvendra Mishra, Manish Bajpai, “Hybrid multiagent based adaptive genetic algorithm for limited view tomography using oppositional learning”, Biomedical Signal Processing & Control, Elsevier, 75, 1-11, 2022 https://doi.org/10.1016/j.bspc.2022.103610  (Impact Factor: 5.1). 
    4. Kailash W Kalare, Manish Bajpai, “Deep Neural Network for Beam Hardening Artifacts Removal in Image Reconstruction”, Applied Intelligence, Springer, 52, 6037-6056, 2022, https://doi.org/10.1007/s10489-021-02604-y, (Impact Factor: 5.3). 
    5. Santosh Mishra, Koushlendra K Singh, Richa Dixit, Manish Bajpai, “Design of Fractional Calculus based Differentiator for Edge detection in Color images”, Multimedia Tools and Applications, Springer, 80: 29965–29983, 2021, https://doi.org/10.1007/s11042-021-11187-2  (Impact Factor: 3.6).
    6. Raghvendra Mishra, Manish Bajpai, “A Priority Based Genetic Algorithm for Limited View Tomography”, Applied Intelligence, Springer, 51, 6968–6982, 2021, https://doi.org/10.1007/s10489-021-02192-x , (Impact Factor: 5.3). 
    7. Saroj Chandra, Manish Bajpai, “Fractional Model with Social Distancing Parameter for Early Estimation of COVID-19 Spread”, Arabian Journal for Science and Engineering, Springer, 47:209-218, 2022, https://doi.org/10.1007/s13369-021-05827-w , (Impact Factor: 2.9). 
    8. Koushlendra K Singh, Suraj Kumar, Prachi Dixit, Manish Bajpai, “Kalman Filter Based Short Term Prediction Model for SARS-COV-2 Spread”, Applied Intelligence, Springer, 51: 2714–2726, 2021, , DOI: https://doi.org/10.1007/s10489-020-01948-1 (Impact Factor: 5.3). 
    9. Avaneesh Singh, Saroj Chandra, Manish Bajpai, “SEIHCRD Model for COVID-19 spread scenarios, disease predictions and estimates the basic reproduction number, case fatality rate, hospital, and ICU beds requirement”, Computer Modeling in Engineering & Sciences, Tech Science Press, Vol. 125, No.3, pp.991-1031, 2020, https://doi:10.32604/cmes.2020.012503   (Impact Factor: 2.4). 
    10. Avaneesh Singh, Saroj Chandra, Manish Bajpai, “Study of Non-Pharmacological Interventions on COVID-19 Spread”, Computer Modeling in Engineering & Sciences, Tech Science Press, Vol.125, No.3, pp.967-990, 2020, https://doi:10.32604/cmes.2020.011601 (Impact Factor: 2.4). 
    11. Kailash W Kalare, Manish Bajpai, “RecDNN: Deep Neural Network for Image Reconstruction from Limited View Projection Data”, Soft Computing, Springer, 24:17205–17220, 2020, https://doi.org/10.1007/s00500-020-05013-4 (Impact Factor: 4.1).  
    12. Saroj Chandra, Manish Bajpai, “Fractional Crank-Nicolson Finite Difference Method for Benign Brain Tumor Detection and Segmentation”, Biomedical Signal Processing & Control, Elsevier, 60: 1-8, 2020 https://doi.org/10.1016/j.bspc.2020.102002 (Impact Factor: 5.1). 
    13. Saroj Chandra, Manish Bajpai, “Efficient Three Dimensional Super-Diffusive Model for Benign Brain Tumor Segmentation”, European Physical Journal Plus, Springer, 135: 419: 1- 8, 2020 https://doi.org/10.1140/epjp/s13360-020-00414-8  (Impact Factor: 3.4). 
    14. Saroj Chandra, Manish Bajpai, “Fractional Mesh-Free Linear Diffusion Method For Image Enhancement and Segmentation for Automatic Tumor Classification”, Biomedical Signal Processing & Control, Elsevier, 58: 1- 9, 2020 https://doi.org/10.1016/j.bspc.2019.101841 (Impact Factor: 5.1). 
    15. Saroj Chandra, Manish Bajpai, “Brain Tumor Detection and Segmentation using Mesh-Free Super-Diffusive Model”, Multimedia Tools and Applications, Springer, 79, 2653–2670, 2020 https://doi.org/10.1007/s11042-019-08374-7  (Impact Factor: 3.6). 
    16. Saroj Chandra, Manish Bajpai, “Mesh Free Alternate Directional Implicit Method Based Three Dimensional Super-Diffusive Model for Benign Brain Tumor Segmentation”, Computer and Mathematics with Applications, Elsevier, 77: 3212-3223, 2019 https://doi.org/10.1016/j.camwa.2019.02.009 (Impact Factor: 2.9). 
    17. Kanchanlata Kashyap, Manish Bajpai, Pritee Khanna, George Giakos, “Mesh Free Approach for Enhancement of Mammograms”, IET Image Processing, IEEE, 12(3): 299-306, 2018, DOI:  http://dx.doi.org/10.1049/iet-ipr.2017.0326  (Impact Factor: 2.73). 
    18. Kanchanlata Kashyap, Manish Bajpai, Pritee Khanna, George Giakos, “Mesh Free based Variational Level Set Evolution for Breast Region Segmentation and Abnormality Detection using Mammograms”, International Journal for Numerical Methods in Biomedical Engineering, Wiley, 34(1): 1-20, 2018, DOI: http://dx.doi.org/10.1002/cnm.2907  (Impact Factor: 2.1). 
    19. Koushlendra K Singh, Manish Bajpai, R K Pandey, “A Novel Approach for Enhancement of Geometric and Contrast Resolution Properties of Low Contrast Images”, IEEE Journal of Automatica Sinica, IEEE, 5(2): 628-638, 2018, DOI: http://dx.doi.org/10.1109/JAS.2017.7510670  (Impact Factor: 11.8). 
    20. Koushlendra K Singh, Manish Bajpai, R K Pandey, Prabhat Munshi, “A novel non-invasive method for extraction of geometric and texture features of wood”, Research in Non-destructive Evaluation, Taylor & Francis, 28(3): 150-167, 2017 DOI: http://dx.doi.org/10.1080/09349847.2016.1148214  (Impact Factor: 1.4). 
    21. Kanchanlata Kashyap, Manish Bajpai, Pritee Khanna, “An Efficient Algorithm for Mass Detection and Shape Analysis of Different Masses Present in Digital Mammograms”, Multimedia Tools and Applications, Springer, 77: 9249-9269, 2018, DOI: http://dx.doi.org/10.-1007/s11042017-4751-5, (Impact Factor: 3.6). 
    22. Kanchanlata Kashyap, Manish Bajpai, Pritee Khanna, “Globally Supported Radial Basis Function based Collocation Method for Evolution of Level Set in Mass Segmentation using Mammograms”, Computers in Biology and Medicine, Elsevier, 87: 22-37, 2017, DOI: http://dx.doi.org/10.1016/j.compbiomed.2017.05.015 (Impact Factor: 7.7). 
    23. Manish Bajpai, P Gupta, P Munshi, “Fast multi-processor multi GPU based algorithm of tomographic inversion for 3D reconstruction”, International Journal of High performance computing applications, SAGE, 29: 64-72, 2015, DOI: http://dx.doi.org/10.1177/1094342013518444 (Impact Factor: 3.1). 
    24. Manish Bajpai, P Munshi, P Gupta, C Schorr, M Maisl, “High Resolution 3D Image Reconstruction using Algebraic Method for X-ray Cone-Beam Geometry over Circular and Helical Trajectories”, NDT & E International, Elsevier, 60: 62-69, 2013, DOI: http://dx.doi.org/10.1016/j.ndteint.2013.07.009  (Impact Factor: 4.2).  
    25. Manish Bajpai, P Gupta, P Munshi, V Titarenko, P J Withers, “A GPU Based Parallel implementation of MART algorithm”, Research in Nondestructive Evaluation, Taylor & Francis, 24(4): 211-222, 2013, DOI: http://dx.doi.org/10.1080/09349847.2013.795635 (Impact Factor: 1.4).

     

     

     (b) Books:

     

    1. Koushlendra Kumar Singh, Manish Bajpai, Akbar S Akbari, “Machine Vision and Augmented Intelligence: Select Proceedings of MAI 2022”, Springer, 2023, ISBN: 9789819901883. DOI: http://dx.doi.org/ 10.1007/978-981-99-0189-0

     

    1. Manish Bajpai, Koushlendra Kumar Singh, George Giakos, “Machine Vision and Augmented Intelligence: Theory and Applications”, Springer, 2021, ISBN: 978-981-16-5077-2, DOI: http://dx.doi.org/ 10.1007/978-981-16-5078-9 

     

      1. Refereed International Conferences:
    1. Avaneesh Singh, Manish Bajpai, “A compartmental mathematical model of COVID19 intervention schenarios for Mumbai”, International Conference on Machine Vision and Augmented Intelligence (MAI), India, 2022, 1007: ISBN: 978-981-99-0188-3. 
    2. Avaneesh Singh, Manish Bajpai, Shyam lal Gupta, “A Time-dependent mathematical model for COVID 19 transmission dynamics and analysis of critical and hospitalized cases with bed requirement”, International Conference on Machine Vision and Augmented Intelligence (MAI), India, 2022, 1007: ISBN: 978-981-99-0188-3..
    3. Raghvendra Mishra, Manish Bajpai, “Self-guided Genetic Algorithm for Limited View Tomography”, IEEE IST, USA, 2021, ISBN: 978-1-7281-7371-9.
    4. Raghvendra Mishra, Manish Bajpai, “Multiagent Based GA for Limited View Tomography”, International Conference on Machine Vision and Augmented Intelligence (MAI), India, 2021, 796: ISBN: 978-981-16-5078-9.
    5. Avaneesh Singh, Saroj Kumar Chandra, Manish Bajpai, “Mathematical Model with Social Distancing Parameter for Early Estimation of COVID-19 spread”, International Conference on Machine Vision and Augmented Intelligence (MAI), India, 2021, 796: ISBN: 978-981-16-5078-9. 
    6. Saroj Kumar Chandra, Abhisek Shrivastava, Manish Bajpai, “Three Dimensional Fractional Operator for Benign Tumor Region Detection”, International Conference on Machine Vision and Augmented Intelligence (MAI), India, 2021, 796: ISBN: 978-981-16-5078-9. 
    7. M Sreerisha, Gargi Yadav, Saroj Chandra, Manish Bajpai, “Image Reconstruction Using Deep Convolutional Neural Network”, International Conference on Artificial Intelligence and Signal Processing (AISP), India, 2020, ISBN: 978-1-7281-4458-0. 
    8. Koushlendra Kumar Singh, Manish Bajpai, “Fractional Order Savitzky-Golay Differentiator based Approach for Mammogram Enhancement”, IEEE IST, Abu Dhabi, UAE, 2019, ISBN: 978-1-7281-3868-8. 
    9. Amit Kumar Kar, Saroj Kumar Chandra, Manish Bajpai, “Parallel GPU Based Offline Signature Verification Model”, IEEE INDICON, India, 2019, ISBN: 978-1-7281-2327-1. 
    10. Kanchanlata Kashyap, Manish Bajpai, Pritee Khanna, “Classification of Breast Tissues Density”, CVIP, India, 2019, 1148: ISBN: 978-981-15-4018-9. 
    11. Saroj Kumar Chandra, Manish Bajpai, “Fractional Anisotropic Diffusion Model for Image Smoothing”, 8th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO), Bahrain, 2019. 
    12. Saroj Kumar Chandra, Manish Bajpai, “Finite Difference Method Based Super-Diffusive Model for Benign Brain Tumor Segmentation”, 8th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO), Bahrain, 2019. 
    13. Saroj Kumar Chandra, Manish Bajpai, “Two sided implicit Euler based super diffusive model for Benign tumor segmentation”, IEEE TENSYMP, India, 2019. 
    14. Dharmendra Kumar Sharma, Saroj Kumar Chandra, Manish Bajpai, “Image Enhancement Using Fractional Partial Differential Equation”, International Conference on Advanced Computational and Communication Paradigm (ICACCP), India, 2019. 
    15. Saroj Kumar Chandra, Manish Bajpai, “Effective algorithm for benign brain tumor detection using fractional calculus”, IEEE TENCON, South Korea, 2018. 
    16. Saroj Kumar Chandra, Manish Bajpai, “Fractional Anisotropic Diffusion For Image Denoising”, IACC, India, 2018. 
    17. Kanchanlata Kashyap, Manish Bajpai, Pritee Khanna, “Breast Tissues Density Classification in Mammograms based on Supervised Machine Learning Technique”, ACM COMPUTE, India, 2017. 
    18. Ayushi Jain, Akarsh Dang, Vandana Kumari, Koushlendra K Singh, B K Singh, Manish Bajpai, “Fractional Order Differentiator based Edge Detection in Remote Sensing Images”, IEEE TENCON,  Malaysia, 2017. 
    19. Kanchanlata Kashyap, Manish Bajpai, Pritee Khanna, “Fractional Order Differential based Breast Tissues Density Classification in Mammograms”, World Congress in Engineering and Computer Science, USA, 2017 
    20. Koushlendra K Singh, B K Singh, Manish Bajpai, Prabhat Munshi, “A Non-Invasive method to study the strength of rosewood for different applications”, 8th World Congress on Industrial Process Tomography, Brazil, 2016. 
    21. Koushlendra K Singh, Manish Bajpai, R K Pandey, “Reconstruction of original signal from contaminated signal using fractional order differentiator”, IEEE International Symposium on Signal Processing and Information Technology, 2015, Abu Dhabi, UAE. 
    22. Koushlendra K Singh, Durgesh Kumar, Subham Chauhan, Manish Bajpai, “Parallel Architecture based fast algorithm for image enhancement”, IEEE Bombay Section Symposium, 2015 Mumbai, India. 
    23. Kanchanlata Kashyap, Manish Bajpai, Pritee Khanna, “Breast cancer detection in digital mammograms”, 2015 IEEE international conference on Imaging Systems and Techniques (IST), 2015 Macau, China. 
    24. Koushlendra K Singh, Manish Bajpai, R K Pandey, “Fractional Order Differentiator based technique for drop size measurement in multi phase flow”, 7th International Symposium on process Tomography, 2015 Germany. 
    25. Kanchanlata Kashyap, Manish Bajpai, Pritee Khanna, “An efficient segmentation algorithm for breast cancer detection in mammograms”, 7th International Symposium on process Tomography, 2015 Germany. 
    26. Koushlendra K Singh, Manish Bajpai, R K Pandey, “A Novel Approach for Edge Detection of Low Contrast Satellite Images”, International Conference on Photogrammetric Image Analysis, XL-3/w2: pp 211-217, 2015 Germany.
    27. Koushlendra K Singh, Manish Bajpai, R K Pandey, “Edge detection in low contrast Images”, 17th International Conference on Image Processing, 2015 Switzerland. 
    1. P Venkitnarayanan, J Sorenson, Manish Bajpai, “High Strain rate response of layered micro balloon filled aluminum”, Conference Proceedings of the Society for Experimental Mechanics Series, Springer, Volume 1, pp 237-243, 2014, ISBN: 978-3-319-00770-0.
    2. Manish Bajpai, P Munshi, P Gupta, B Pandey, “Climate change and Tomography”, Humbolt Korlag, Springer, pp 183-187, 2013,  ISBN: 978-3-642-36142-5.
    1. Manish Bajpai, P Gupta, P Munshi, “Multi-core CPU based three-dimensional image reconstruction for limited view tomography”, 7th world congress on industrial process tomography, Krakow, Poland, 2013; 395-400.  
    2. Manish Bajpai, P Gupta, P Munshi, “An Efficient GPU Based Parallel Algorithm for Image reconstruction: An Application to Tomographic Reconstruction”, Proc of The Second IEEE International Conference on Parallel, Distributed and Grid Computing 2012; 242-245. 
    3. Manish Bajpai, P Gupta, P Munshi, V Titarenko, P J Withers, “Performance Evaluation of Micro-CT X-ray scanner using Kanpur Theorems”, International Workshop on Smart Materials & Structures in Aerospace and NDT in Canada 2011; Article 62.

    PHDs Supervised
    1. Dr. Koushlendra Kumar Singh, PhD (2016)

    Thesis Title: Chebyshev polynomial based approximation of fractional order mask for different image processing applications.

    Current Affiliation: Assistant Professor, CSE Department, NIT Jamshedpur

     

    1. Dr. Kanchan Lata Kashyap, PhD (2018)

    Thesis Title: Breast cancer detection based on Mesh-Free approach using digital mammograms

    Current Affiliation: Assistant Professor, CSE Department, IIIT Kottayam 

     

    1. Dr. Antriksh Goswami, PhD (2018)

    Thesis Title: Evolutionary stable reputation management system in P2P networks

    Current Affiliation: Assistant Professor, CSE Department, NIT Patna

     

    1. Dr. Saroj Kumar Chandra, PhD (2020)

                Thesis Title: Mesh Free super diffusive model for benign brain tumor detection and segmentation

          Current Affiliation: Assistant Professor, CSE Department, OPJU Raigarh

     

    1. Dr. Kailash Wamanrao Kalare, PhD (2021)

                 Thesis Title: Deep learning framework for limited data image reconstruction

          Current Affiliation: Assistant Professor, CSE Department, MNNIT Prayagraj

     

    1. Dr. Avaneesh Singh, PhD (2022)

                Thesis Title: Efficient Compartmental Models to Study Dynamics of Disease Spread and Epidemic Forecast

    Current Affiliation: Post Doctoral fellow, CSE Department, IIT Kanpur

     

    1. Dr. Raghvendra Mishra, PhD (2022)

                Thesis Title: Efficient Multiagent Adaptive Genetic Algorithms For Limited View Tomography

    Current Affiliation: Assistant Professor, School of Computer Science, VIT University Bhopal

     

    1. Ms. Shubham Choudhary, PhD (Pursuing)

    Thesis Topic: Augmented Intelligence

     

    1. Mr. Pankaj Dubey, PhD (Pursuing)

    Thesis Topic: Augmented Intelligence

    Workshops/Conferences

    Workshop and Conferences Organized:

    • Member, International Advisory Committee, IEEE International Conference on Imaging Systems and Techniques (IST), USA, Aug 24-26, 2021.
    • Convener, “International Conference on Machine Vision and Augmented Intelligence (MAI)”, IIITDM Jabalpur, March 05-07, 2022.
    • Convener, “International Conference on Machine Vision and Augmented Intelligence (MAI)”, IIITDM Jabalpur, Feb 11-14, 2021.
    • Finance Chair, “13th Innovations in Software Engineering Conference (ISEC)”, IIITDM Jabalpur, Feb 27-29, 2020.
    • Publicity Chair, “18th International Conference on Information Technology (ICIT)”, IIIT Bhubaneswar, Dec 19-21, 2019.
    • Publicity Chair, “Third International Conference on Computer Vision and Image Processing (CVIP)”, IIITDM Jabalpur, Sep 29-Oct 01, 2018.

     

    Continuing Education Programmes:

    • Faculty Development Programme, “Malware analysis using machine learning”, Aug 29–Sep 12, 2022, IIITDM Jabalpur, Funded by EL & ICT Academy Jabalpur, Role: Joint Principal Coordinator
    • Faculty Development Programme, “Reinforcement Learning and Its Applications”, June 07-11, 2021, IIITDM Jabalpur, Funded by AICTE under ATAL Scheme, Role: Co-Coordinator
    • Faculty Development Programme, “Soft Computing and Its Applications”, August 29 – Sep 02, 2020, IIITDM Jabalpur, Funded by AICTE under ATAL Scheme, Role: Co-Coordinator
    • 6 Week Short Course, “Artificial Intelligence and Its Applications”, April- May 2020, IIITDM Jabalpur, Funded by Bharat Electronics Limited Ghaziabad, Role: Coordinator
    • Faculty Development Programme, “Network Security”, May 20–24, 2019, IIITDM Jabalpur, Funded by E & ICT Academy Jabalpur, Role: Coordinator
    • Faculty Development Programme, “Big Data Analytics”, May 21–25, 2018, IIITDM Jabalpur, Funded by E & ICT Academy Jabalpur, Role: Coordinator
    • Faculty Development Programme, “Data Structure and Algorithms Using C”, Sep 19–26, 2015, IIITDM Jabalpur, Funded by E & ICT Academy Jabalpur, Role: Co-Coordinator

    Projects
    • Sponsored Research Projects:

     

    1. “High resolution three dimensional image reconstruction from sparse data over helical trajectories using nature inspired metaheuristic algorithms”, Funded by CSIR, 19.64 Lacs, 2023-2026, Ongoing, Role: PI
    2. "Globally supported radial basis function based fractional order mesh free fast algorithms for image denoising and enhancement", Funded by ISRO, 22.55 Lacs, 2023 - 2026, Ongoing, Role: Co-PI
    3. “Bio-Inspired Computer Vision”, Funded By USIEF, 05 Lacs, 2019-2023, Ongoing, Role: PI
    4. “Design and Development of Centralized database of scholarship / Fellowship Awarded in S & T Sector”, Funded By DST, 24.12 Lacs, 2020-2024, Ongoing, Role: PI
    5. “Mathematical and Computational Modelling of Epidemic Forecast and Disease Transformation”, Funded by SPARC (MHRD), 48.99 Lacs, 2019 – 2023, Completed, Role: PI
    6. “Low-cost portable Bio Gas plant for energy self-reliance of rural areas”, Funded by Design and Innovation Centre, MHRD, 2 Lacs, 2022-2023, Completed, Role: Co-PI
    7. “Privacy Enhancing Revocable Biometric Identities (PERBI)”, Funded by BRNS (DAE), 28.78 Lacs, 2017- 2020, Completed, Role: Co-PI
    8. “I/O efficient algorithm for high resolution three dimensional image reconstruction”, Funded by IIITDM Jabalpur, 09.50 Lacs, 2016- 2018, Completed, Role: PI
    9. “Parallel architecture based efficient algorithm for signature forgery detection”, Funded by NVIDIA Corporation India, 1.25 Lacs, Jan 2018- Dec 2018 Completed, Role: PI

     

    • Sponsored Consultancy Projects:
    • “Activity Templating and Trend Estimation”, Funded by Bharat Electronics Limited (BEL), 25.86 Lacs, 2019 – 2024, Ongoing, Role: PI

     

    • Patents:

     

    1. Manish Bajpai, Shiv Dayal Patel et al, “LUGGAGE BAG”, Indian Design patent, Application No.: 371869-001, 2022, Awarded.
    2. Manish Bajpai, Shiv Dayal Patel et al, “A MULTI-UTILITY LUGGAGE BAG WITH ERGONOMIC SEATING”, Indian patent, Application No.: 202221056330, 2022, Published.
    3. Manish Bajpai, Kusum Kumari Bharti et al, “A NON-BIOMETRIC TOUCH-FREE RAILWAY ATTENDANCE SYSTEM AND A METHOD FOR OPERATION THEREOF”, Indian patent, Application No.: 202221035867 A, 2022, Published.
    4. Manish Bajpai, Kusum Kumari Bharti, Atul Gupta et al, “SYSTEM FACILITATING HEALTH MONITORING AND METHOD THEREOF”, Indian patent, Application No.: 202221034528 A, 2022, Published.
    5. Manish Bajpai, Kusum Kumari Bharti et al, “MOISTURE DETECTION SYSTEM FOR DETECTING MOISTURE CONTENT OF STORED GRAINS AND METHOD OF ITS OPERATION THEREOF”, Indian patent, Application No.: 202321053400, 2023, Published.

    Awards and Honors
    • Member, Board of Study, Center for Advanced Study, Lucknow, 2021
    • Member, Board of Study, VIT University, Bhopal, 2020
    • Member, Doctoral Committee, VIT University, Bhopal, 2020
    • Secretary, Inter Chapter Relations, IEEE Bombay Section, 2020
    • Fulbright-Nehru Specialist Fellowship, USIEF, 2019
    • NVIDIA GPU Research Grant, 2018
    • Best paper award in IAENG Conference, USA, 2017
    • Got PostDoc at prestigious HARVARD Medical School, HARVARD University, USA, 2013
    • IIT Kanpur Research Award, 2013
    • CSIR Travel Grant, 2011
    • Letter of recognition from Counselling Service, IIT Kanpur, 2010
    • MHRD fellowship, 2006

    Additional Responsibility
    • Positions of Responsibility:
    • Single Point of Contact (SPOC), CSE Discipline, IIITDM Jabalpur, July 2020 – Nov 2023
    • Secretary, Inter Chapter Relations, IEEE Bombay Section, July 2020- July 2021
    • Member, Editorial Board, IIITDM Jabalpur Institute Magazine, Sep 2020- Nov 2023
    • Member, Department Under Graduate Committee (DUGC), Sep 2018- Sep 2020
    • Member, IWD Works Tender Opening Committee, April 2018- Nov 2023
    • Faculty In-charge, “CSE UG & PG Labs” at IIITDM Jabalpur, Feb 2017 – Feb 2020
    • Member, “Digital India Initiative” at IIITDM Jabalpur, Oct 2016- Nov 2023
    • Member, “Safety Committee” at IIITDM Jabalpur, Sep 2016 – Nov 2023
    • Member, “ Horticulture Committee” at IIITDM Jabalpur, April 2016- July 2021
    • Member, “Smart Campus Development Committee” at IIITDM Jabalpur, Feb 2016- Nov 2023
    • Associate Warden, “Hall of Residence 4” at IIITDM Jabalpur, July 2016- April 2018
    • Member, “Cultural Committee” at IIITDM Jabalpur, to organize Inter IIIT Cultural fest 2017
    • Member, “Under Graduate Course Review Committee”, at IIITDM Jabalpur, Feb 2016- July 2016
    • Member, “Discipline post graduate committee (DPGC)”, at IIITDM Jabalpur, August 2014-July 2016
    • Faculty coordinator “Student Placement Cell” for CSE discipline at IIITDM Jabalpur, August 2013- July 2015
    • Member, Local Purchase committee IIITDM Jabalpur