Wavelet and Artificial Neural Network Based Forearm Movements Classification: A Paradigm for Prosthesis Design
2026 International Conference on Intelligent Systems in Engineering, Secured Systems and Cybersecurity (ICISESSC)—Conference proceeding
Established 199785+ Faculty Members
Computer Science & Engineering
Empowering Next-Generation Computing, AI Systems & Software Engineering
12 Yrs
Teaching Experience
12 Yrs
Total Experience
Ph.D.
Highest Qualification
4+
Published Works
About & Biography
Dr. Amit Kukker is an Associate Professor in Computer Science and Engineering with over 12 years of academic and research experience, working in AI, Machine Learning, biomedical signal and image processing, and optimization. My teaching philosophy focuses on conceptual clarity, practical learning, critical thinking, and connecting academic knowledge with real-world applications.
Education & Qualifications
Doctorate2021
Ph.D.
ICE
University of Delhi/NSIT
Masters2014
M.Tech
ICE
SLIET
Bachelors2010
B.Tech
EE
RTU/JECRC
Research Specialization & Focus Areas
- Artificial Intelligence
- Deep Learning
- Machine Learning
Scholarly Publications
4 publications(featured)
2026
Polar Lights Optimizer-Based Feature Selection for Optimal Brain Tumor Classification
2026 International Conference on Intelligent Systems in Engineering, Secured Systems and Cybersecurity (ICISESSC)—Conference proceeding
2025
Forearm movements classification via genetic algorithm optimized fuzzy reinforcement learning: An approach towards prosthesis design
Elsevier—peer-reviewed, Scopus/SCI
2024
Fuzzy lattices assisted EJAYA Q-learning for automated pulmonary diseases classification
IOP Publishing—peer-reviewed, Scopus/SCI