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Mukesh Kumar Singh

Mukesh Kumar Singh

I am a dedicated Senior Lecturer with a specialization in deep learning, hyperspectral imaging, optimization techniques, and computer vision for robotics. My Ph.D. research focuses on developing robust deep learning models for plastic waste sorting using hyperspectral imaging. With two years of teaching experience, I am passionate about applying cutting-edge AI and image processing techniques to real-world challenges, particularly in environmental sustainability and robotics.

  1. D. in Robotics – Indian Institute of Technology Patna (Ongoing)
  2. Tech in Computer Integrated Design and Manufacturing – National Institute of Technology Jamshedpur
  3. B.Tech in Mechanical Engineering – College of Engineering Roorkee
  1. Assistant Professor, Woxsen University (Oct 2024 – Feb 2025)
  2. Assistant Professor, Mandsaur University (Sep 2024 – Oct 2024)
  3. Assistant Professor, C.V. Raman College of Engineering (Jun 2018 – Aug 2019)

Journals:

  1. Parashar, N., Singh, M. K., Verma, H. M., & Hait, S. (2025). Development of fine-tuned deep learning models for physical classification of microplastics extracted from different environmental matrices. Journal of Water Process Engineering, 77, 108343.
  2. Singh, M. K., Hait, S., & Thakur, A. (2023). Hyperspectral imaging-based classification of post-consumer thermoplastics for plastics recycling using artificial neural network. Process Safety and Environmental Protection, 179, 593-602.

Patent:

  1. Singh, M. K., Srinivas, V., Srilekha, T., Venkatesh, N., & Siripuri, K. (Inventors). (2025). AI-data labelling assistant device (Indian Design Patent No. 438524-001). Indian Patent Office.
  2. Singh, M. K., Siripuri, K., & Swamy, A. (Inventors). (2025). Robotic camera device for monitoring (Indian Design Patent No. 439383-001). Indian Patent Office.

Singh, M. K., Siripuri, K., Tiwari, M. G. D., Dasari, S., Kumar, A., & Thasni, T. (Inventors). (2025). Real time data verification device (Indian Design Patent No. 445834-001). Indian Patent Office.

My current research is centered on developing advanced algorithms for hyperspectral images to classify various materials. Additionally, I am actively involved in research aimed at optimizing robot paths for efficient and intelligent robotic systems.

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