Dr. Mousumi Karmakar

About

Dr. Mousumi Karmakar is Associate Professor and Head of the Department of Electronics & Communication Engineering , Mallabhum Institute of Technology, Bishnupur, Bankura, India. She received her Ph.D. in Engineering on July, 2021 from AcSiR, CSIR-Central Mechanical Engineering Research Institute, Durgapur, India. She is life-time member of Soft Computing Research Society (SCRS). She is the reviewer of several research papers submission of many reputed Journals and Conferences. She is author or co-author of several research papers which have been published in many reputed Journals and Conferences of National and/or International levels. Her areas of research are AI & ML, Engineering Optimization, Soft-Computing, Control System and Microprocessors & Microcontrollers. She teaches several courses of UG level Programme (B.Tech). She has organized/participated in, many National/International Seminars, Workshops and Webinars.

Employment

• Mallabhum Institute of Technology Department of Electronics and Communication Engineering H.O.D/ Associate Professor
  2008 - Present

Education

• National Institute of Technical Teachers' Training and Research Kolkata M.Tech
• University Institute of Technology, Burdwan University B.E

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• Utilizing Bayesian Networks to Augment Decision-Making for Dengue Outbreak Response in Public Health Systems
  2024 International Conference on Emerging Smart Computing and Informatics (ESCI) 2024 DOI: 10.1109/esci59607.2024.10497446
  +Save
• Optimal Path Planning with Smart Energy Management Techniques Using Dijkstra’s Algorithm
  Human-Centric Smart Computing 2023 DOI: 10.1007/978-981-19-5403-0_24
  +Save
• Modelling of electric vehicle drive toward its range prediction and remaining battery SOC after trip completion
  International Journal of Electric and Hybrid Vehicles 2021 DOI: 10.1504/ijehv.2021.117857
  +Save
• Optimal driving based trip planning of electric vehicles using evolutionary algorithms: A driving assistance system
  Applied Soft Computing 2020 DOI: 10.1016/j.asoc.2020.106361
  +Save
• Influence of trip complexity on optimal driving based Energy Management System of Electric Vehicle
  2019 IEEE International Conference on Communication and Electronics Systems (ICCES) 2019 DOI: 10.1109/icces45898.2019.9002102
  +Save
• Driving Assistance for Optimal Trip Planning of Electric Vehicle Using Multi-objective Evolutionary Algorithms
  Management and Industrial Engineering 2019 DOI: 10.1007/978-3-030-01641-8_7
  +Save
• STUDY OF THE PERFORMANCE OF DRIVING ASSISTANCE SYSTEM FOR COMPLEX TRIP PLANNING OF ELECTRIC VEHICLES USING EVOLUTIONARY ALGORITHM
  Device Modeling and Soft Computing for real time applications (DMSC-2019) 2019
  +Save
• Improvement of Regenerative Braking Energy of Fully Battery Electric Vehicle Through Optimal Driving
  Journal of Asian Electric Vehicles 2018 DOI: 10.4130/jaev.16.1789
  +Save
• Study on optimal deceleration of electric vehicle with serial regenerative braking: a multi-objective approach
  International Journal of Electric and Hybrid Vehicles 2018 DOI: 10.1504/ijehv.2018.098110
  +Save
• Driving assistance for energy management in electric vehicle
  2016 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES) 2016 DOI: 10.1109/pedes.2016.7914453
  +Save