Dr. Shanu K Rakesh
Also known as: Dr. Shanu Kuttan Rakesh, Shanu K Rakesh, Shanu Rakesh Kuttan
Chouksey Engineering College, Guru Ghasidas Vishwavidyalaya, CSVTU, Mewar University
0000-0001-8755-6359
About
Dr. Shanu Kuttan Rakesh is an accomplished academician and researcher serving as Associate Professor and Head of the Department of Computer Science and Engineering at Chouksey Engineering College, Bilaspur, Chhattisgarh,with over 18 years experience in teaching, research, and academic leadership.She completed her B.E. and M.Tech. degrees in Computer Science and Engineering from the Institute of Technology, Guru Ghasidas Vishwavidyalaya (GGV), Bilaspur, and RITEE, Raipur, respectively. She earned her Ph.D. in Computer Science and Engineering from Mewar University, Chittorgarh, Rajasthan. Her research interests include Artificial Intelligence, Machine Learning, Deep Learning, Swarm Intelligence, Swarm Robotics. She has published more than 70 research papers in reputed international and national journals and conferences indexed in IEEE, SCOPUS, SCI, WOS, and holds six patents in emerging areas of intelligent computing. She is having professional memberships in CSI, ISTE and IAENG.
She has received recognitions including the Best Paper Award and the Excellence Award in Higher Education for her contribution to teaching, innovation and research. She actively serves as a reviewer for IEEE journals and international conferences and contributed as an expert member in national-level hackathons. In addition, she is a passionate digital educator and runs the educational YouTube channel “Shanu Kuttan CSE Classes”, which has more than 67,000 subscribers and over 1 million views worldwide.
Employment
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Chouksey Engineering College Associate Professor & Head of Department (HOD)2008 - Present
Education
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Guru Ghasidas Vishwavidyalaya B.E.
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CSVTU M.Tech
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Mewar University Ph.D
Projects & Funding
Projects & funding information is unavailable.
Publications (18)
- Hybrid quantum-classical neural networks for real-time fault detection in power systems Save
- Smart Auto-Grading and AI-Based Feedback Systems for Paperless Evaluation Save
- Advanced CNN-Based Framework for Robust Pneumonia Detection and Classification in Medical Imaging Save
- AI-Augmented Data Science Pipelines for Accelerating Knowledge Discovery in Scientific Research Save
- Grey Wolf Optimized Transformer Model for Enhanced Multi-class Prediction of Parkinson's Freezing of Gait Events Save
- Optimised RFO tuned RF-DETR model for precision urine microscopy for renal and systemic disease diagnosis Save
- Optimized Grasshopper Optimisation Algorithm enabled DETR (DEtection TRansformer) model for skin disease classification Save
- Redefining cyber ecosystems with AI-driven threat detection and secure blockchain infrastructure Save
- Student Performance Prediction Model using Machine Learning Algorithms Save
- An optimized neural network with AdaHessian for cryptojacking attack prediction for Securing Crypto Exchange Operations of MEC applications Save