Munish Kumar

About

Dr. Munish Kumar is presently working as an Assistant Professor at K L Deemed to be University, Green Fields, Vaddeswaram, Andhra Pradesh. He has good Academics & Research experience in various areas of Electronics and Communication. His area of research includes Biometrics, Medical Image Processing, IOT, Embedded Systems, Particle photons, Alexa, and Machine Learning. He has filed successfully one International Patent. He has published 21 research papers in various International/National Journals (including IEEE, Springer, etc.) and the Proceedings of reputed International/ National Conferences (including Springer and IEEE). He was awarded “Best Paper Presentation” in Nepal & India in 2017. He is an active member of 7 various Professional International Societies. He has been nominated to the board of editors/reviewers of three peer-reviewed and refereed Journals (including IEEE, and Springer). He has organized 1 International Conference & 3 workshops. He has also attended many seminars, workshops, and short-term courses in IITs and other institutes. He has completed three certificate courses from IEEE: IPR Plagiarism Tutorial, IPR Patents Tutorial, and IPR Copyrights Tutorial.

Employment

• K L Deemed to Be University Assistant Professor
  2023 - Present
• Maa Saraswati Institute Of Engineering And Technology HOD & Associate Professor
  2019 - 2023
• Deenbandhu Chhotu Ram University of Science and Technology (NBA &NAAC-A Accredited) Teaching Associate
  2015 - 2018
• N.C.R. Polytechnic HOD & Lecturer
  2012 - 2015
• N.C.R. Polytechnic HOD & Lecturer
  2009 - 2010
• MINDA Trainee
  2007 - 2007

Education

• Deenbandhu Chhotu Ram University of Science and Technology Ph.D (Machine Learning)
  2015 - 2019
• Deenbandhu Chhotu Ram University of Science and Technology M.Tech
  2010 - 2012
• The Technological Institute of Textile & Sciences B.Tech
  2004 - 2008

Projects & Funding

Projects & funding information is unavailable.

Publications (49)

• Facial age estimation using a hybrid CNN-LSTM architecture on the UTKFace dataset
  Results in Control and Optimization 2026 DOI: 10.1016/J.RICO.2026.100766
  +Save
• A hybrid deep learning and fuzzy logic framework for robust tomato disease detection and classification
  Scientific Reports 2026 DOI: 10.1038/S41598-026-36524-Z
  +Save
• GANS and Meta-Learning
  2025 DOI: 10.4018/979-8-3693-7575-4.ch007
  +Save
• The role of generative models in modern healthcare: Applications, challenges, and implications
  Exploring Generative Adversarial Networks and Meta Learning Synergies 2025 DOI: 10.4018/979-8-3693-7575-4.ch008
  +Save
• Spatial attention-guided pre-trained networks for accurate identification of crop diseases
  Scientific Reports 2025 DOI: 10.1038/S41598-025-08004-3
  +Save
• Integrating IoT and Cloud Analytics for Real-Time Monitoring of Post-Surgical Recovery in Maxillofacial Patients
  Vascular and Endovascular Review 2025
  +Save
• Improving Diagnostic Accuracy in Telemedicine using Image Processing and Pattern Recognition Techniques
  International Conference on Engineering Technology and Management Icetm 2025 2025 DOI: 10.1109/ICETM63734.2025.11051603
  +Save
• Improved autonomy and adaptability using GANs and meta-learning for robotic systems
  Exploring Generative Adversarial Networks and Meta Learning Synergies 2025 DOI: 10.4018/979-8-3693-7575-4.ch011
  +Save
• GANS and meta-learning: Identifying key challenges and uncovering limitations in AI research
  Exploring Generative Adversarial Networks and Meta Learning Synergies 2025 DOI: 10.4018/979-8-3693-7575-4.ch007
  +Save
• Exploring the Implementation of Artificial Intelligence in the Indian Legal System
  2025 3rd International Conference on Communication Security and Artificial Intelligence Iccsai 2025 2025 DOI: 10.1109/ICCSAI64074.2025.11064188
  +Save