Nilanjan Dey

About

Nilanjan Dey is a prolific researcher whose work spans the intersecting domains of robotics, biomedical signal processing, artificial intelligence, and industrial optimization. His contributions have significantly advanced the application of computational intelligence to real-world engineering challenges, from optimizing robotic assembly line balancing using nature-inspired algorithms — such as discrete cuckoo search and migrating birds optimization — to pioneering hardware implementations for electromyography-based activity recognition using explainable AI. Dey has made notable strides in medical image analysis and segmentation, employing meta-heuristic algorithms to solve complex diagnostic problems, demonstrating the breadth of his interdisciplinary vision. His forward-looking survey on Industry 5.0 reflects a deep engagement with the ethical and societal dimensions of human-robot collaboration, helping shape conversations about sustainable, human-centered automation. As an author and editor of foundational texts including *Embedded Systems and Robotics with Open Source Tools* and *Computing in Medical Image Analysis*, he has made advanced technical knowledge accessible to emerging researchers. With a portfolio accumulating hundreds of citations across diverse fields, Dey stands as an influential voice bridging intelligent systems, biomedical engineering, and the future of collaborative robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Discrete cuckoo search algorithms for two-sided robotic assembly line balancing problem

   80 citations · 2017
2. 2
   Hardware Implementation for Lower Limb Surface EMG Measurement and Analysis Using Explainable AI for Activity Recognition

   59 citations · 2022
3. 3
   Human-Collaborative Artificial Intelligence Along With Social Values in Industry 5.0: A Survey of the State-of-the-Art

   46 citations · 2023
4. 4
   Embedded Systems and Robotics with Open Source Tools

   41 citations · 2016
5. 5
   Emotion stimuli-based surface electromyography signal classification employing Markov transition field and deep neural networks

   37 citations · 2021
6. 6
   Computing in Medical Image Analysis

   33 citations · 2018
7. 7
   Mathematical models and migrating birds optimization for robotic U-shaped assembly line balancing problem

   31 citations · 2018
8. 8
   Applied Examples and Applications of Localization and Tracking Problem of Multiple Speech Sources

   22 citations · 2017
9. 9
   Motion Cueing Algorithms: A Review

   22 citations · 2016
10. 10
    Meta-Heuristic Algorithms in Medical Image Segmentation

    21 citations · 2017

Key Collaborators

Contact & Links