Dr. Sudersan Behera
Symbiosis International University, Sreenidhi Institute of Science and Technology, SR University
0000-0002-0249-6738
About
Dr. Sudersan Behera is a distinguished Computer Science and Engineering academic, researcher, and technology innovator with more than 21 years of teaching and academic experience. He currently serves as an Assistant Professor at Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India. His academic career spans more than two decades of teaching, research, student mentoring, academic service, scholarly publication, and technological innovation. Dr. Behera holds a Ph.D. in Computer Science and Engineering, along with B.Tech. and M.Tech. degrees in Computer Science and Engineering. His research expertise encompasses Artificial Intelligence, Soft Computing, Evolutionary Computing, Artificial Neural Networks, Higher-Order Neural Networks, Metaheuristic Optimization, Extreme Learning Machines, and Financial Time-Series Forecasting. Over the course of his academic career, he has developed a substantial international research profile, with publications in SCIE Q1 and Q2 journals, as well as Scopus- and Web of Science-indexed journals and conferences. Several of his publications are in highly ranked journals, including journals positioned among the top 1% in their respective research categories, reflecting the quality, visibility, and impact of his research. His scholarly work particularly focuses on evolutionary and optimization-driven neural architectures for forecasting complex, nonlinear and volatile financial time-series data. With 21+ years of teaching experience, an active research portfolio, international publications, patents, conference contributions, and peer-review activities, Dr. Behera represents a distinctive blend of academic experience, computational intelligence research, technological innovation, and interdisciplinary problem solving. His continuing research objective is to develop robust, adaptive and intelligent computational models capable of addressing complex real-world challenges.
Employment
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Symbiosis International University Assistant Professor2026 - Present
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SR University Assistant Professor2025 - 2026
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GIET University Research Scholar2020 - 2025
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Sreenidhi Institute of Science and Technology Assistant Professor
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (22)
- Developing TLBO-Based LSTM for Stock Indices Price Forecasting Save
- Performance Analysis of Naïve Bayes, SVM, and Decision Tree for Disease Risk Prediction Save
- Training Extreme Learning Machine with Fully Informed Search Algorithm for Short-Term Stock Index Prediction Save
- Analyzing the performance of geometric mean optimization-based artificial neural networks for cryptocurrency forecasting Save
- Enhanced Stock Index Forecasting: Metaheuristic Insights and Extreme Learning Machines Evaluation Save
- Financial Time Series Forecasting Using Hybrid Evolutionary Extreme Learning Machine Save
- Predicting Stock Market Prices Using a Hybrid of High-Order Neural Networks and Barnacle Mating Optimization Save
- Modeling And Enhancing Crude Oil Price Forecasting Using Enhanced Set Algebra-Based Heuristic Algorithm-Based Extreme Learning Machine Save
- Forecasting Financial Commodities Using an Evolutionary Optimized Higher-Order Artificial Neural Network Save
- Evolutionary hybrid neural networks for time series forecasting Save