MANISH KUMAR

About

Manish Kumar received the B.E. degree in Electronics from Dr. Babasaheb Ambedkar Marathwada University, Aurangabad Maharashtra, India in 1998. He received M. Tech. in Digital Communication Engineering, from Uttar Pradesh Technical University, Lucknow, India in 2006. He did PhD in Wireless Communication from Electronics and Communication Engineering Department, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, Uttar Pradesh, India. He is life time member of Institute of Electronics and Telecommunication Engineering. He published many papers in International, National, Journals and Conferences. He was associated as Professor with Department of Electronics and Communication Engineering, Babu Banarsi Das University, Lucknow during 2016-2023a. Currently he is associated as Professor with Symbiosis University of Applied Sciences. His research interests include Digital and Analog Communication, Wireless Communication, Sensor Network systems and Machine Learning.

Employment

Employment history is unavailable.

Education

• Motilal Nehru National Institute of Technology PHD
  2011 - 2015
• Dr. Babasaheb Ambedkar Marathwada University BE
  ? - 1998

Projects & Funding

Projects & funding information is unavailable.

Publications (21)

• An Ensemble Framework Leveraging BERT and SVM for Effective Multiclass Cyberbullying Detection
  Lecture Notes in Electrical Engineering 2026 DOI: 10.1007/978-981-95-5831-5_7
  +Save
• A Comparative Study of Various Optimization Techniques used in Wireless Sensor Networks
  2024 IEEE 4th International Conference on ICT in Business Industry and Government Ictbig 2024 2024 DOI: 10.1109/ICTBIG64922.2024.10911273
  +Save
• A Review on Modern WSN Architectures and Its Application
  International Conference on Emerging Trends in IoT & Computing Technologies-2022 2022
  +Save
• Experimental Investigation of Cement Mortar to Improve the Strength by Adding Sisal Fiber
  Lecture Notes in Civil Engineering 2022 DOI: 10.1007/978-981-16-6403-8_14
  +Save
• Performance Evaluation of Dual Material Double Gate TFET based Biosensor
  2022 IEEE Students Conference on Engineering and Systems Sces 2022 2022 DOI: 10.1109/SCES55490.2022.9887766
  +Save
• Survey of Supervised Machine Learning Techniques in Wireless Sensor Network
  Lecture Notes in Electrical Engineering 2022 DOI: 10.1007/978-981-19-2631-0_18
  +Save
• A Review of Range Based Localization Techniques in Wireless Sensor Networks
  SSRG International Journal of Electronics and Communication Engineering 2021
  +Save
• Survey of Supervised Machine Learning Techniques in Wireless Sensor Network
  Fourth International Conference on VLSI, Communication and Signal Processing (VCAS 2021) 2021
  +Save
• Real-time reliable routing for industrial wireless sensor networks
  Ad Hoc and Sensor Wireless Networks 2019
  +Save
• Real-Time Reliable Routing for Industrial Wireless Sensor Networks
  Adhoc & Sensor Wireless Networks 2019
  +Save