Dr. Rajeev Kumar
Assistant Professor
RESEARCH AREA
Fiber Optic Sensors, Photonic based Devices, Plasmonics, Applications of 2D nanomaterials and Metamaterials in sensing field, VLSI Design
EDUCATION
PROFESSIONAL MEMBERSHIP
Presently carrying a 14 years of teaching and research experience from 2009 in the field of VLSI design, Verilog HDL, SPICE modeling, circuit design, Optical sensor and surface plasmon resonance (SPR) sensor. He has extensive experience in publishing high-impact journals such as IEEE sensor, IEEE Transactions and Microchamical journals, etc. He has published a more than 55 research papers in reputed journals and international conferences. He has published 4 book chapter in the springer note book. Apart from this, he has attended more than 10 workshops, and FDPs. He also served as an invited speaker, and session chair at international platforms. He is also serving as a reviewer at various high-impact journals such as Microchamical, IEEE Sensor, IEEE plasmonic, and Diagnostics Microbiology & Infectious Disease etc. He is actively engaged in research on surface plasmon resonance (SPR) sensors, focusing on their application in the detection of various diseases. With a strong foundation in biosensing technologies, he is dedicated to leveraging SPR for real-time, label-free detection of biomolecular interactions. Their work aims to advance early diagnosis and improve the accuracy of detecting disease biomarkers, contributing to the development of innovative solutions in healthcare diagnostics. Their research emphasizes the design and optimization of SPR-based systems to identify disease biomarkers, pathogens, and other diagnostic targets with unprecedented precision. By integrating innovative materials, advanced sensor designs, and novel functionalization techniques, strives to enhance the sensitivity, specificity, and robustness of SPR sensors. Through interdisciplinary collaboration and a commitment to innovation, he is contributing to the development of next-generation diagnostic tools that can improve early detection, reduce healthcare costs, and save lives.