Profile
Assistant Professor in the field of Computer Science & Engineering
A Technologist- Augmented Intelligence and Image Processing ~ 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.
Augmented Intelligence, Parallel Algorithm Design, Cognitive Imaging, Medical Imaging, Fractional Calculus, Mesh Free Computations
- PhD
IIT Kanpur (2013)
Parallel Algorithms, Image Reconstruction - B.Tech
UPTU Lucknow (2006)
Information Technology
- July 2013-Till date Assistant Professor
Teaching and Research
- Best paper award in IAENG Conference, USA
2017
- Fulbright-Nehru Specialist Fellowship, USIEF
2019
- Secretary, Inter Chapter Relations, IEEE Bombay Section
2020
- Member, Doctoral Committee, VIT University, Bhopal
2020
- Member, Board of Study, VIT University, Bhopal
2020
- Member, Board of Study, Center for Advanced Study, Lucknow
2021
My courses
Current & Previous
Research
Areas or Specialisation / Project Activities / Publications / Books
(On Lien)
- “Parallel architecture based efficient algorithm for signature forgery detection”, Funded by NVIDIA Corporation India, 1.25 Lacs, Jan 2018- Dec 2018
- “Privacy Enhancing Revocable Biometric Identities (PERBI)”, Funded by BRNS (DAE), 28.78 Lacs, 2017- 2020
- “Bio-Inspired Computer Vision”, Funded By USIEF, 05 Lacs, 2019-2023
- “Mathematical and Computational Modelling of Epidemic Forecast and Disease Transformation”, Funded by SPARC (MHRD), 48.99 Lacs, 2019 – 2023
- “Design and Development of Centralized database of scholarship / Fellowship Awarded in S & T Sector”, Funded By DST, 24.12 Lacs, 2020-2023
- "Low-cost portable Bio Gas plant for energy self-reliance of rural areas”, Funded by Design and Innovation Centre, MHRD, 2 Lacs, 2022-2023
- • “Activity Templating and Trend Estimation”, Funded by Bharat Electronics Limited (BEL), 25.86 Lacs, 2019 – 2023
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
2. 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
- ? List of Publications:
(a) Refereed SCI Listed International Journal:
Published:
1. 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).
2. 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: 5.076).
3. 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: 5.019).
4. 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: 2.577).
5. 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: 5.019).
6. 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: 2.807).
7. 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: 5.019).
8. 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: 2.027).
9. 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: 2.027).
10. 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: 3.732).
11. 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: 5.076).
12. Saroj Chandra, Manish Bajpai, “Efficient Three Dimensional Super-Diffusive Model for Benign Brain Tumor Segmentation”, The European Physical Journal Plus, Springer, 135: 419: 1- 8, 2020 https://doi.org/10.1140/epjp/s13360-020-00414-8 (Impact Factor: 3.758).
13. 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: 5.076).
14. 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: 2.577).
15. 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: 3.218).
16. 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: 1.772).
17. 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: 2.648).
18. 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: 7.847).
19. 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: 0.805).
20. 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: 2.577).
21. 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: 6.698).
22. 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: 2.820).
23. 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: 4.683).
24. 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: 0.805).
(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
2. 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
(c) 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.
28. 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.
29. 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.
30. 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.
31. 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.
32. 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.
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Publicity Chair, “Third International Conference on Computer Vision and Image Processing (CVIP)”, IIITDM Jabalpur, Sep 29-Oct 01, 2018.
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Publicity Chair, “18th International Conference on Information Technology (ICIT)”, IIIT Bhubaneswar, Dec 19-21, 2019.
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Finance Chair, “13th Innovations in Software Engineering Conference (ISEC)”, IIITDM Jabalpur, Feb 27-29, 2020.
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Convener, “International Conference on Machine Vision and Augmented Intelligence (MAI)”, IIITDM Jabalpur, Feb 11-14, 2021.
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Convener, “International Conference on Machine Vision and Augmented Intelligence (MAI)”, IIITDM Jabalpur, March 05-07, 2022.
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Member, International Advisory Committee, IEEE International Conference on Imaging Systems and Techniques (IST), USA, Aug 24-26, 2021.
M. Tech./M.Des.
Ph. D.
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