Research: 

1. Post Doctoral Fellow at Indian Institute of Technology Kharagpur, West Bengal (2024-2025).
2. Institute Research Scholar at National Institute of Technology Jamshedpur, Jharkhand (2018- 2022).

Teaching:

1. Assistant Professor at BIT Mesra, Ranchi, Jharkhand (March 2025 – Till Date).
2. Assistant Professor at Techno Main Salt Lake, Kolkata, West Bengal (Sept 2023 – Oct 2024).
3. Assistant Professor at Manipal University Jaipur, Rajasthan (July 2022 – Aug 2023).
4. Teaching Assistant at National Institute of Technology Jamshedpur, Jharkhand (July 2019- July 2022).

• Machine Learning
• Internet of Things
• Computer Vision
• Generative AI
• Image Processing
• Quantum Machine Learning

National Level Exams/Scholarships:

1. Chanakya Post Doctoral Fellowship awarded by Indian Institute of Technology Kharagpur.
2. Institute Research Fellowship awarded by Ministry of Human Resource and Development (MHRD).
3. Qualified for the post of Assistant Professor (computer Science and Engineering) conducted by Chhattisgarh Swami Vivekananda Technical University (CSVTU), Bhilai, Durg, Chhattisgarh, India.
4. Academic Counselor at Indira Gandhi National Open University (IGNOU).
5. Qualified- GATE, UGC-NET, ASRB-NET.
6. Offered Software Engineer post by Capegemini, MNC in 2014.

7. Qualified West Bengal Joint Entrance Examination (WBJEE) conducted by West Bengal Joint Entrance Board in 2010.

8. Qualified All India Engineering Entrance Examination (AIEEE) conducted by MHRD in 2010.

Invited Lectures / Resource Person

• Resource Person during the online one-month student training program on Data Science and Analytics held by Department of Mathematics, BIT Mesra from 1st August 2020 to 31st August 2020.
• Resource Person during the online program on Computer Vision held by Department of Mathematics, Institute of Mathematics & Applications, Bhubaneswar, Odisha from 1st September 2020 to 30th September 2020.
• Invited to serve as External examiner for the subject Data structure and algorithm Lab by the Department of Computer Science & Engineering (IoT), Techno Main Salt Lake, Kolkata, West Bengal, India on 18th January, 2025.
• Delivered guest lecture on Sensors & Vision Systems in Robots held by Department of Department of Automation and Robotics at Dr. D.Y. Patil Institute of Technology, Pimpri, Pune on 19th April, 2025.
• Invited to serve as External Examiner for the final year grand Viva by the Department of Electronics and Instrumentation Engineering, Techno Main Salt Lake, Kolkata, West Bengal, India on 14 June 2025.

Certifications

• Data Science Professional Certification IBM with Coursera.
• Fundamentals of Deep Learning for Computer Vision Awarded by NVIDIA Deep Learning Institute.
• Fundamentals of Deep Learning for Multiple Data Types Awarded by NVIDIA Deep Learning Institute.
• Data Science for Engineers Awarded by IIT Madras, NPTEL.
• Accreditation and Outcome Based Learning Awarded by IIT Kharagpur, NPTEL.
• Explainable Artificial Intelligence (XAI) with Python Course Certification from Udemy.

Workshop & FDP attended

• Recent Advances in Optimization Technique (24th – 28th Dec 2018) at IIT Guwahati.
• One-week faculty Development Program on Network Security from 20th -24th May-2019 at NIT Jamshedpur.
• Deep Learning and Applications from 27th -31st May-2019 at NIT Jamshedpur.
• Advancements in Signal Processing and Optimization Techniques from 3rd -7th Jun-2019 at NIT Jamshedpur.
• Two weeks FDP on Sensor Networks and IoT from 20th -29th Jun-2019 at IIT(ISM) Dhanbad.
• Deep Learning and its Application, Ministry of Electronics and Information Technology (MeitY), Govrnment of India.
• Machine Learning for Computer Vision, Ministry of Electronics and Information Technology (MeitY), Government of India.
• Advanced Optimization Techniques and hands-on with MATLAB/SCILAB from 13 – 24 July, 2020 under the Ministry of Electronics and Information Technology (MeitY), Government of India.
• Three days Workshop on MACHINE VISION 2020 held on 27-29 JULY 2020 through online mode organized by National Institute of Technology Jamshedpur.
• Research Challenges and Applications of Internet of Things (IoT) in Smart Agriculture from November 17 – November 22, 2020, organized by ALL INDIA COUNCIL FOR TECHNICAL EDUCATION.
• Data Science for Engineers jointly organized by NPTEL-AICTE, funded by the MoE, Govt. of India (2022).
• Accreditation and Outcome Based Learning jointly organized by NPTEL-AICTE, funded by the MoE, Govt. of India (2023).
• Smart Contract Mastery: Pioneering the Future of Blockchain Applications organized by Department of CSE, NIT Warangal in association with E & ICT Academy, NIT Warangal Sponsored by Ministry of Electronics and Information Technology (MeitY), GoI.
• BEST: Bootcamp on Embedded Security and Trust organized by Department of Computer Science and Engineering of IIT Kharagpur under the Information Security Education Awareness (ISEA) Project, Ministry of Electronics and Information Technology (MeitY), Government of India.
• Online FDP on AI and Deep Learning jointly organized by the Electronics and ICT Academics at PDPM IIITDM Jabalpur, MNIT Jaipur, IIT Roorkee, NIT Patna and IIT Guwahati under the “Capacity Building and Skill Development Scheme” of Ministry of Electronics and Information Technology (MeitY), Government of India.
• Online FDP on IoT Applications with Sensors, Embedded Systems, and Data Analytics  jointly organized by the Electronics and ICT Academics at PDPM IIITDM Jabalpur, MNIT Jaipur, IIT Roorkee, NIT Patna and IIT Guwahati under Ministry of Electronics and Information Technology (MeitY), Government of India.
• Online FDP on Quantum Technology & Applications jointly organized by the Electronics and ICT Academics at PDPM IIITDM Jabalpur, MNIT Jaipur, IIT Roorkee, NIT Patna and IIT Guwahati endorsed by “DST - NQM/ AICTE/UGC” of Ministry of Electronics and Information Technology (MeitY), Government of India.
• Online one month course on Quantum Technology from 3rd-25th May, 2025 organized by Centre for Development of Advance Computing, Hyderabad & Indian Institute of Technology, Roorkee with the support of Ministry of Electronics and Information Technology (MeitY), Government of India.
• Online Faculty Development Programme (FDP) on Real Time Applications Using Large Language Models from 19th–28th May, 2025 Organized by E & ICT Academy in association with Dept. of CSE, NIT Warangal and NIT Kurukshetra. (Sponsored by the Ministry of Electronics and Information Technology (MeitY), GOI.
• Online FDP on Advancing Healthcare with Explainable AI: Empowering Educators and Practitioners from 23rd-27th June, 2025 organized by Electronics and ICT Academy, Indian Institute of Technology, Roorkee in association with UPES, Dehradun.
• Online FDP on Modern Computer Vision from 8th-19th September, 2025 organized by Electronics and ICT Academy, MNIT Jaipur.

Journal Articles (SCI/SCIE/Scopus/WoS)

1.  M. Bhagat, U. Maulik, “Advancing breast cancer prediction using blockchain-secured hybrid genetic algorithm”, Computers in Biology and Medicine, Volume 196, Part A, 2025, 110622, ISSN 0010-4825, Elsevier (SCIE) (I.F = 7.7).
2. M. Bhagat, U. Maulik :StaBloCare: Blockchain-Secured Diabetes Monitoring System using Stacked Deep Learning. Biomedical Signal Processing and Control, Elsevier, 2025 (SCIE) Impact Factor 4.9.
3. M. Bhagat and D. Kumar, “A comprehensive survey on leaf disease identification & classification,” Multimedia Tools and Applications, vol. 81, no. 23, pp. 33 897–33 925, 2022 (SCIE) (I.F. = 3.6).
4. M. Bhagat and D. Kumar, “Efficient feature selection using bows and surf method for leaf disease identification,” Multimedia Tools and Applications, vol. 82, no. 18, pp. 28 187–28 211, 2023 (SCIE) (I.F. = 3.6).
5. M. Bhagat and D. Kumar, “Performance enhancement of kernelized svm with deep learning features for tea leaf disease prediction,” Multimedia Tools and Applications, pp. 1–18, 2023 (SCIE) (I.F. = 3.6).
6. M. Bhagat and D. Kumar, “Performance evaluation of pca based reduced features of leaf images extracted by dwt using random forest and xgboost classifier,” Multimedia Tools and Applications, vol. 82, no. 17, pp. 26 225–26 254, 2023 (SCIE) (I.F. = 3.6).
7. M. Bhagat and D. Kumar, “Stability analysis of mathematical model for spread of pest in tea plant by rkm-4 and abm-2,” Journal of Difference Equations and Applications, vol. 29, no. 2, pp. 121–142, 2023 (SCIE) (I.F. = 1.35).
8. M. Bhagat, D. Kumar, and S. Kumar, “Optimized transfer learning approach for leaf disease classification in smart agriculture,” Multimedia Tools and Applications, pp. 1–21, 2023 (SCIE) (I.F. = 3.6).
9. M. Bhagat, A. Sharma, and P. Agarwal, “An efficient stacking-based ensemble technique for early heart attack prediction,” Multimedia Tools and Applications, no. DOI:10.1007/s11042-024-19293-7, 2024 (SCIE) (I.F. = 3.6).
10. A. Gupta, M. Bhagat, and V. Jain, “Blockchain-enabled healthcare monitoring system for early monkeypox detection,” The Journal of Supercomputing, vol. 79, no. 14, pp. 15 675–15 699, 2023 (SCIE) (I.F. = 2.5).
11. M. Bhagat, D. Kumar, and S. Kumar, “Bell pepper leaf disease classification with lbp and vgg-16 based fused features and rf classifier,” International journal of information technology, vol. 15, no. 1, pp. 465–475, 2023 (Scopus).
12. A. Kumar, A. Gupta, Y. P. Singh, and M. Bhagat, “A deep neural network for classification of land use satellite datasets in mining environments,” Journal of Mining and Environment, vol. 13, no. 3, pp. 797–808, 2022 (Scopus).
13. M. Kumar, S. Jha, D. Kumar, and M. Bhagat, “A study on visual secret sharing scheme using speech recognition,” Technology & Management, Rabindranath Tagore University Journal, vol. IX, no. XVII, 2019, issn: 2278-4187.

Conference Proceedings:

1.  M. Bhagat, S. Kumar: A Coherent Solution of dataset crisis using GAN based transfer learning approach for leaf image classification & Disease Prediction, ISBM 2025 Bangkok Thailand, Springer (2025) (Accepted) (Scopus Indexed).
2. S. Kumar and M. Bhagat, “A comparative analysis of cryptographic algorithms in iot environment,” in International Conference on IoT and Its Application (ICIA), 2024.
3. M. Bhagat, D. Kumar, V. Kumar, S. Kumar, and M. K. Dixit, “Agrismart: A smart solution of dataset crisis using gan for leaf image classification disease prediction,” 2022, NIT Raipur.
4. M. K. Dixit, D. Kumar, V. Kumar, M. Bhagat, and S. Kumar, “Hair loss analysis using machine learning,” 2022, NIT Raipur.
5. S. Kumar, D. Kumar, V. Kumar, M. Bhagat, and M. K. Dixit, “Brain tumour classification and segmentation using convolution neural net- works,” 2022, NIT Raipur.
6. M. Bhagat, D. Kumar, I. Haque, H. S. Munda, and R. Bhagat, “Plant leaf disease classification using grid search based svm,” in 2nd International conference on data, engineering and applications (IDEA), IEEE, 2020, pp. 1–6.
7.  M. Bhagat, D. Kumar, R. Mahmood, B. Pati, and M. Kumar, “Bell pepper leaf disease classification using cnn,” in 2nd international conference on data, engineering and applications (IDEA), IEEE, 2020, pp. 1–5.
8. M. Bhagat, D. Kumar, and D. Kumar, “Role of internet of things (iot) in smart farming: A brief survey,” IEEE, 2019, pp. 141–145.
9. P. Kumar, M. Bhagat, and D. Kumar, “A review of supervised and unsupervised approaches to sentiment analysis,” IEEE, 2019, ISBN 978-1-7281-1349-4–014.
10. S. Kumar, D. Kumar, and M. Bhagat, “Rapid and efficient medical image segmentation using thresholding and clahe with 3-level fcm clustering,” in Proceedings of the international conference on advances in electronics, electrical & computational intelligence (ICAEEC), 2019.
11. M. Sharma, M. Bhagat, and D. Kumar, “Ubiquitous and emerging concepts of sensors,” IEEE, 2019, pp. 341– 347.

Books Chapter(s):

1.  M. Bhagat, D. Kumar, and S. M. Balgi, Application of internet of things in digital pedagogy. Springer, 2021, pp. 219–234.

Books Abstracts:

1. M. Bhagat, D. Kumar, V. Kumar, S. Kumar, and M. K. Dixit, “Agrismart: A smart solution of dataset crisis using gan for leaf image classification disease prediction,” 2022, ISBN 978-81-957455-0–.
2. M. K. Dixit, D. Kumar, V. Kumar, M. Bhagat, and S. Kumar, “Hair loss analysis using machine learning,” 2022, ISBN 978-81-957455-0–.
3. S. Kumar, D. Kumar, V. Kumar, M. Bhagat, and M. K. Dixit, “Brain tumour classification and segmentation using convolution neural net- works,” 2022, ISBN 978-81-957455-0–.

Important Links:

• Google Scholar
• Personal Webpage
• LinkedIn

1. IEEE Professional Member
2. ACM 
3. International Association of Engineers (IAENG - 315141, Lifetime)
4. Internet Society (IS- 2249610, Lifetime)

1. M. Bhagat, Futuristic ai-enhanced air purifier for next-generation indoor environmental solutions, U.K. Patent No. 6332516.
2. M. Bhagat and D. Kumar, Portable diagnostic imaging device for early disease detection, India, Patent No. 413545-001.
3. M. Bhagat, A cloud-based platform for crop recommendation for precision farming driven by artificial intelligence, Application No. 202341036565.
4. M. Bhagat and D. Kumar, An agricultural robotic system and method thereof, The Patent Office, Kolkata, Patent Application No. 202431040115.

• Transaction on Emerging Telecommunications Technologies, Wiley (SCI/SCIE)
• Journal of Plant Diseases and Protection, Springer (SCI/SCIE) .
• Applied Intelligence, Springer (SCI/SCIE).
• The Journal of Supercomputing, Springer (SCI/SCIE).
• Computers and Electronics in Agriculture, Elsevier (SCI/SCIE).
• Circuits, Systems, and Signal Processing, Springer(SCI/SCIE)
• New Generation Computing (SCI/SCIE).
• Artificial Intelligence Review, Springer (SCI/SCIE).
• Multimedia Systems, Springer (SCI/SCIE).
• Scientific Reports, Springer (SCI/SCIE).
• Environmental Science and Pollution Research, Springer (SCI/SCIE).
• Cogent Engineering, Taylor & Francis (SCI/SCIE).
• Food Analytical Methods, Springer (SCI/SCIE).
• Systems and Soft Computing, Elsevier (ESCI/Scopus).
• Evolutionary Intelligence, Springer (ESCI/WoS).
• SN Computer Science, Springer (Scopus).
• Journal of Mining and Environment (Scopus).
• Journal of Data Science and Intelligent System (Scopus).
• Journal of Engineering, Hindawi (Scopus).