Birla Institute of Technology, Mesra

Faculty Image

Dr. Madan Mohan Agarwal

Joined Institute on : 9-Sep-2008

  • Associate Professor
  • Computer Science and Engineering
  • Ph.D. (CSE), M. Tech (CSE), B.E.
Contact Address

1-A, Prem Colony, Pragati Path, Near Morani Motors, Tonk Road, Jaipur Rajasthan PIN-302011

1-A, Prem Colony, Pragati Path, Near Morani Motors, Tonk Road, Jaipur Rajasthan PIN-302011

  • Phone Office - 0141-4019821
  • Phone Residence - 9414278777
  • Email - mmagarwal@bitmesra.ac.in
Work Experience

Teaching : 25 Years

Research : 10 Years

Individual: 15 Years

Professional Background

Ph.D (Computer Science & Engineering) completed from Birla Institute of Technology, Mesra, Ranchi, Jharkhand (INDIA)

M. Tech (Computer Science & Engineering) from Birla Institute of Technology, Mesra, Ranchi,  Jharkhand (INDIA)

B. E. (Mining Engineering) from M. B. M. Engineering College, Jodhpur, JNV University, Jodhpur, Rajasthan (INDIA

Two Year Diploma in French Foreign Language from Mody Institute of Technology & Sciences, Lakhmangarh, Sikar, Rajasthan (INDIA)

Research Areas
  • Reviews, concepts, design and implementation on Mobile Ad Hoc Networks, Artificial Intelligence and Machine Learning
  • Implements Optimization Techniques for Energy Conservation like Fuzzy Control System and Probabilistic based Techniques
  • Design of Routing Protocols for Mobile Ad Hoc Networks
  • Implements Routing Protocols for Mobile Ad Hoc Networks in Network Simulator-2
  • Reviews, concepts, design and implementation on Internet of Things
  • Reviews, concepts, design and implementation of video summarization by using machine learning and AI
  • Implementation of different application by using machine learning and AI
Award and Honours

Win Best Paper Award paper entitled "Design of Fuzzy Controlled Routing Protocol to Save Energy in Ad Hoc Networks" presented at "2nd International Conference on Computers and Management (ICCM) 2016, Department of CSE, Rajasthan Technical University, Kota, 28-29 December 2016".

Publications
Publication Year 2026
  • R Verma, MM Agarwal;A Systematic Review on Road Accident Prediction: A Special Attention towards Machine Learning and Deep Learning Approaches.Journal of Circuits, Systems and Computers;Vol. 35, No. 02, 2530009 (2026)  2530009;1.7;2026
Publication Year 2025
  • R Verma, MM Agarwal;Enhancing Road Accident Classification with Capsule Recurrent Neural Network and Improved Reptile Search Algorithm.IETE Journal of Research;71(5) 1822-1841 ;1.5;2025
  • M. M. Agarwal; Rahul Verma; Krishan Berwal;Building the Framework for Road Accident Prediction for India using Enhanced SVM Techniques.IEEE Xplore;10.1109/IC2E365635.2025.11167666 1-10;1.5;2025
Publication Year 2015
  • Madan Mohan Agarwal, Mahesh Chandra Govil, Madhavi Sinha;Investigation of energy efficient routing parameters & protocols.2015 Third International Conference on Image Information Processing (ICIIP);IEEE Xplore 168-173;3;2015
Publication Year

Journal Publications

  1. Verma, R., & Agarwal, M. M. (2025). A Systematic Review on Road Accident Prediction: A Special Attention towards Machine Learning and Deep Learning ApproachesJournal of Circuits, Systems, and Computers., , 35(2), pp.2530009. https:///dx.doi.org/10.1142/S0218126625300090 (SCIE Indexed, Scopus Indexed)
  2. Verma, R., & Agarwal, M. M. (2025). Advancing Traffic Safety through CapRNN: A Hybrid Capsule-Recurrent Neural Network for Accident ForecastingKufa Journal of Engineering., , XX(X), pp.1-20. (Scopus Indexed, Accepted)
  3. Verma, R., & Agarwal, M. M. (2025). Road Accident Severity Prediction using Adaptive Custom Weight Initialization and Enhanced Focal Loss Integration TechniqueIETE Journal of Research., , XX(X), pp.1-13. (SCIE Indexed, Scopus Indexed),  https://doi.org/10.1080/03772063.2025.2487628
  4. Verma, R., & Agarwal, M. M. (2025). Enhancing Road Accident Classification with Capsule Recurrent Neural Network and Improved Reptile Search Algorithm. IETE Journal of Research., , 71(5), pp.1822-1842. (SCIE Indexed, Scopus Indexed), https://doi.org/10.1080/03772063.2025.2464239
  5. Agarwal, M.M. (2025) ‘Breast cancer forecast using enhanced support vector machine model’, Int. J. Medical Engineering and Informatics, Vol. X, No. Y, pp.xxx–xxx. (Scopus Indexed) (Accepted)
  6. Verma, R., & Agarwal, M. M. (2024). Enhancing Road Accident Prediction: An Advanced Information Retrieval Approach with Enhanced Focal Loss. Library of Progress-Library Science, Information Technology & Computer44(3), 13679-13690. (Scopus Indexed)
  7. Kumar, S., Singh, B., & Agarwal, M. M. (2025, April). Assess Learning Parameter of Learner and Classification of Course Content in E-learning System. In Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA 2025) (Vol. 189, p. 403). Springer Nature.
  8. Kumar S., Singh B., Agarwal M. M. (2024). Course Content and Learner Classification using Fuzzy Logic to Enhance Adaptive Learning System. Library Progress International, 44(3), pp. 17205-17218. (Scopus Indexed)
  9. Sain S. K., Khandelwal K., Agarwal, M. M., (2024). Smart Vehicles Surveillance in Foggy Conditions Using Enhanced Deep Learning Algorithms, Tuijin Jishu/Journal of Propulsion Technology, ISSN: 1001-4055, Vol. 45 (3), pp. 914-929. (Scopus Indexed)
  10. Agarwal, M.M., Govil, M.C. Sinha, M. and Saini H., (2021), Design of Fuzzy Controlled Routing Protocol to Save Energy in Ad Hoc Networks, International Journal of Services Technology and Management, Inder-Science publication, 27 (1-2), pp.51-71. (Scopus Indexed)
  11. Agarwal, M. M., Govil, M. C., & Saini H. (2020). Probabilistic and Fuzzy based Efficient Routing Protocol for Mobile Ad Hoc Networks. Recent Advances in Computer Science and Communications, 13(3), pp.422-432. (Scopus Indexed)
  12. Agarwal, M.M., Govil, M.C. and Sinha, M., Gupta S., (July, 2019), Fuzzy based Data Fusion for Energy Efficient Internet of Things, International Journal of Grid and High Performance Computing (IJGHPC), 11(3), pp.46-58 (Scopus Indexed, E-SCI-Web of Science )
  13. Agarwal, M.M., Govil, M.C. and Sinha, M., , Jhankal, A.K., (2017), Energy Conservation by Improving Flooding Mechanism in MANET, Journal of Scientific & Industrial Research, 76(7), pp. 408-414. (SCIE Indexed, Scopus Indexed)).
  14. Agarwal, M.M., Govil, M.C. and Sinha, M., (2016). DPAODV–A Dynamic Probabilistic-based Energy Efficient Routing Protocol for MANETs. International Journal of Applied Engineering Research11(6), pp.4024-4030. (SCOPUS INDEXED)
  15. Agarwal, M.M., Jhankal, A.K., Govil, M.C. and Sinha, M.,(2016). Fuzzy Logic Controlled Energy Efficient Routing in Mobile Ad-Hoc Networks, International Journal of Computer Networks and Wireless Communications (IJCNWC), 5(4), (pp. 556-561)
  16. Agarwal, M.M., Jhankal, A.K., and Govil, M.C., (2016). Analysis of Energy Consumption in Mobile Ad-Hoc Routing Protocols through Route Discovery and Maintenance Mechanism, International Transaction in Mathematical Science and Computers 5 (1), 121-130.

Book Chapter Publications

  1. Agarwal, M.M., Govil, M.C. and Jhankal, A.K., (2016). Probabilistic-Based Energy Efficient Dynamic Route Discovery in MANET’s. In Proceedings of the International Conference on Recent Cognizance in Wireless Communication & Image Processing (pp. 599-607). Springer India.

Conferences Publications

  1. Agarwal, M. M., Verma, R., & Berwal, K. (2025, May). Building the Framework for Road Accident Prediction for India using Enhanced SVM Techniques. In 2025 IEEE International Conference on Computer, Electronics, Electrical Engineering & their Applications (IC2E3) (pp. 1-6). IEEE. (SCOPUS INDEXED)
  2. Agarwal, M.M., Govil, M.C. and Jhankal, A.K., (2014, May). A probabilistic method to optimize energy consumption in Mobile Ad-Hoc networks. In Recent Advances and Innovations in Engineering (ICRAIE), 2014 (pp. 1-5). IEEE. (SCOPUS INDEXED)
  3. Agarwal, M.M., Govil, M.C. and Sinha, M., (2015), December. Investigation of energy efficient routing parameters & protocols. In Image Information Processing (ICIIP), 2015 Third International Conference on (pp. 168-173). IEEE. (SCOPUS INDEXED)
  4. AICTE Sponsored FDP “ Blockchain Governance Structure and Trust  from Theory to Practice ”               The AICTE sponsored Faculty Developement Program “Blockchain Governance Structure and Trust  from Theory to Practice” was held on December 23-28, 2024, at Birla Institute of Technology, Jaipur Campus for bringing together a diverse group of faculty members, researchers, and industry experts to upgrade their technical skills and to share the latest in this domain in on-line mode.                                                                                                       PI : Dr. Pankaj Gupta                          Co PI : Dr. M. M. Agarwal

Member of Professional Bodies
  1. Member of Academic council of Rajasthan Technical University, Department of Technical Education, Govt. of Rajasthan for two year from 2025 to 2027.
  2. Member of Academic council of National Institute of Ayurved University, University Grant Commision , Govt. of India for five year from 2024 to 2029.
  3. Incharge IPR and Technical Power Transmission Cell organized by the Department of Science and Technology, Govt. of India from 2024 to till date.