Chandra Sekhar Kolli

About

Dr. Chandra Sekhar Kolli is an Associate Professor & Deputy HOD, Department of Computer Science and Engineering at Aditya University, Surampalem. He is a distinguished Academician and Researcher with strong expertise in Teaching, Research, Mentoring, and Academic Leadership. Dr. Kolli holds a Ph.D. in Computer Science and has authored over 45 indexed publications, including papers in Scopus- and Web of Science–Indexed Journals, Conferences, and Book Chapters. He has published 05 Textbooks, Filed 06 patents - 5 Published and 1 is Granted, and has made significant research contributions in computational intelligence, deep learning, influential node detection, predictive analytics, and privacy-preserving models. Recognized for his academic and research excellence, he has received Best Faculty Award (2020) from KL University and Best Researcher Award (2023 -24 and 2024-25 Academic Years). He is a Wipro Certified Faculty qualifed in Wipro Talent Next and holds an IELTS band score of 7.0, reflecting his readiness for International Academic collaboration. He is currently serving as a Research Supervisor, under whose guidance two Ph.D. research scholars are actively registered.With a strong commitment to innovation and academic excellence, Dr. Kolli continues to mentor and inspire students and researchers through impactful research, effective teaching, and forward-looking academic leadership.

Employment

• Aditya University Associate Professor
  2024 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (47)

• GAN-CNN Hybrid Framework for Robust Multi-scale Image Restoration
  2027 DOI: 10.1007/978-981-95-9101-5_8
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• SCWO-SNN: Snow carpet weaver optimization based spiking neural network for fraud detection in UPI transactions using federated learning
  Computer Standards & Interfaces 2026 DOI: 10.1016/J.CSI.2026.104166
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• Triangular evaluation of learning environments: Correlations and outcome
  International Journal of Modeling, Simulation, and Scientific Computing 2026 DOI: 10.1142/S1793962326500200
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• Similarity-Navigated Graph Neural Network-Based Fraud Detection in Credit Card Transactions Optimized with the Greylag Goose Algorithm
  International Conference on Machine Learning and Autonomous Systems (ICMLAS) 2025 DOI: 10.1109/ICMLAS64557.2025.10968459
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• Skin Profiling and Product Advice Using Deep Learning
  Evolution in Computational Intelligence: Proceedings of the International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA). Smart Innovation, Systems and Technologies (436) 2025 DOI: 10.1007/978-981-96-2124-8_30
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• Privacy enhanced course recommendations through deep learning in Federated Learning environments
  International Journal of Information Technology 2025 DOI: 10.1007/S41870-024-02087-3
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• Harvesting Growth: Leveraging Random Forests for Advancing Agricultural Productivity with Machine Learning
  2025 DOI: 10.1007/978-3-031-72747-4_2
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• EXPLORING THE POTENTIAL OF FEDERATED LEARNING TO EMPOWER CREDIT CARD FRAUDULENT TRANSACTION DETECTION WITH DEEP LEARNING TECHNIQUES
  Proceedings on Engineering Sciences 2025 DOI: 10.24874/PES07.01B.012
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• Comprehensive Exploration of Generative Pre-trained Transformer
  Lecture Notes in Networks and Systems 2025 DOI: 10.1007/978-981-96-3372-2_34
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• Cascade Kronecker neuro-fuzzy network based influential node identification
  Applied Soft Computing 2025 DOI: 10.1016/J.ASOC.2025.113015
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