Experienced academic with over 9 years of teaching in Electronics and Communication Engineering and a Ph.D. in MEMS-based biosensors. At Galgotia College, led curriculum enhancement and contributed to NBA, NAAC, and NIRF initiatives. Proficient in COMSOL, MATLAB, and VHDL, with a strong focus on research-led teaching and fostering innovation. Passionate about technology and mentoring, committed to building a student-centric, industry-ready learning environment.
Published Papers and Conferences
Niranjan A., Gupta P., Rajoria M. & Noor I. M. (February , 2025) Polymers As Sensing Layers In MEMS (Micro-Electro-Mechanical Systems) Biosensors For Molecular Diagnosis, Macromolecular Symposia, 414(1), 2400113. https://doi.org/10.1002/masy.202400113
Niranjan A. , Gupta P. & Rajoria M (2023) Polymer-Based MEMS Sensor for Label-Free Chikungunya Virus Detection. Macromolecular Symposia. 407, 2200104. https://doi.org/10.1002/masy.202200104 (Scopus)
Niranjan A. & Gupta P. (Dec 2021) Covid 19 At A Glance: An Indian Perceptive, Recent Development in Engineering and Technology 2020-2021, 786-790
Niranjan A. & Gupta P. (2020)Modeling and Simulation Software in MEMS Design, International Journal of Engineering and Advanced Technology (IJEAT), 9(3), 2501-2506. DOI: 10.35940/ijeat.C5770.029320
Niranjan A, Gupta P. & Rajoriya M. (2021) Piezoelectric MEMS Cantilever Biosensor for Detection of SARS –CoV2 in IEEE International Conference on Communication, Control and Information Sciences (ICCISc), Idukki, India, 1-5, doi: 10.1109/ICCISc52257.2021.9484976.
Niranjan A. & Gupta P. (2019) Recent Trends in Chikungunya Virus diagnosis, International Journal of Technical Innovation in Modern Engineering & Science, 5(4), 16–23.
MEMS biosensor simulation for SARS-CoV-2 detection
Tools Used: COMSOL Multiphysics
Objective: To design and simulate a piezoelectric MEMS cantilever biosensor for early-stage detection of SARS-CoV-2 virus particles.
Work Summary: Modelled cantilever beam deflection using COMSOL’s MEMS modules. Simulated stress,displacement and voltage of the sensor surface.
Outcome: Achieved high sensitivity in detecting nanomolar viral loads with simulation results validated against analytical data.
MEMS Cantilever for Chikungunya Virus Detection
Tools Used: COMSOL Multiphysics, SIMULINK
Objective: To evaluate the performance of polymer-based MEMS sensors for label-free detection of Chikungunya virus.
Work Summary: Modelled cantilever beam deflection using COMSOL’s MEMS modules. Simulated stress,displacement and voltage of the sensor surface.
Outcome: Achieved high sensitivity in detecting nanomolar viral loads with theoretical results validated against published clinical data.