Bighnaraj Naik
Papers
6
Total Citations
277
H-Index
5
About
Dr. Bighnaraj Naik is a prominent researcher in computational intelligence, with key contributions spanning swarm optimization, soft computing, and robotics. His seminal work, "25 Years of Particle Swarm Optimization: Flourishing Voyage of Two Decades" (2022), has garnered 223 citations, establishing him as a leading voice in evolutionary algorithms. Dr. Naik’s research bridges theoretical innovation and practical application, notably through his development of the Harmony Search Based Gradient Descent Learning-FLANN (HS-GDL-FLANN) for classification tasks, which integrates metaheuristic search with neural learning. He has also advanced the field of robotics, exploring deep belief networks for failure detection in robotic manipulators and publishing comprehensive reviews on soft computing’s role in robotics over the past decade. His work on particle swarm optimization for intrusion detection further demonstrates his impact on cybersecurity. Despite a retracted paper, his overall trajectory reflects sustained influence, with over 277 total citations. Dr. Naik’s research provides foundational insights for students and researchers seeking to understand the evolution of swarm intelligence and its cross-disciplinary applications in engineering and security.
Research Focus
Key Achievements
Top Papers
- 125 Years of Particle Swarm Optimization: Flourishing Voyage of Two Decades223 citations · 2022
- 2
- 3
- 4Applications of Robotics in Industry Using Advanced Mechanisms9 citations · 2019
- 5
- 6Soft Computing in Robotics: A Decade Perspective3 citations · 2019