Electrical and Electronics Engineering

Dr. Subhash Nimanpure working as an Assistant Professor in Electrical and Electronics Engineering at University Schoolo of Automation and Robotics, GGSIPU East Delhi Campus, Delhi since 2022.

He is a highly accomplished researcher in Electrical and Electronics Engineering and Materials Science. He brings more than 8 years of experience spanning industry, R&D, and teaching, offering a unique blend of practical application and academic depth.

He earned his Ph.D. in 2018 from the Academy of Scientific and Innovative Research (AcSIR), with research conducted at CSIR-Advanced Materials and Processes Research Institute (AMPRI). Multiple competitive awards and extensive networking highlight his exceptional academic standing.

He was a distinguished recipient of the prestigious Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellowship. He maintains various national and international collaborations across his fields of study. Furthermore, he has received various fellowships from CSIR and UGC, supporting his research endeavors throughout his career. He has published more than 15 research articles in well-reputed SCI journals, demonstrating a strong record of scholarly output and contribution to his field.

Primary Research Interests and Areas of Expertise: Dr. Nimanpure's work is interdisciplinary, sitting at the cutting edge of advanced materials and engineering applications.

His key areas of expertise include: Terahertz (THz) Devices and Electronics: Utilizing materials like Carbon Nanotubes (CNTs) and Graphene for high-performance detection systems, with critical applications for 6G communication and Homeland Security. Electrical Insulation and Fibre Composites: Developing environment-friendly and high-strength electrical insulation materials, primarily using natural fibrils (like sisal and kenaf) for advanced polymer composites.

Current Research and Supervision: Dr. Nimanpure actively leads research and currently supervises two Ph.D. scholars whose projects focus on highly relevant, innovative applications: Topological Insulator based THz Devices for 6G Communication: Researching next-generation materials for ultra-fast communication technology and Prostate Cancer Detection based on Machine Learning Models: Applying advanced computational and data science techniques to crucial biomedical diagnostic challenges.