Gufran Ahmad

Affiliation

Dept. of Electrical Engineering, Dayalbagh Educational Institute, Agra, Agra, India

Topic

Band Gap,Convolutional Neural Network,Solar Cells,Absorber Layer,Electron Affinity,Fill Factor,Numerical Simulations,Power Consumption,Automatic Detection,Average Precision,Bounding Box,Buffer Layer,Cadmium Telluride,Capacitive Sensor,Changes In Capacity,Charge Carriers,Class Probabilities,Computer Vision,Convolutional Layers,Decision Tree,Deep Convolutional Neural Network,Deep Learning Models,Deep Neural Network,Doping Concentration,Dynamic Assignment,Efficiency Of Cells,Fluorine-doped Tin Oxide,Hole Transport Layer,Layer Thickness,Neural Network,OR Gate,Object Detection,Object Detection Methods,Open-circuit Voltage,Perovskite Absorber,Perovskite Layer,Perovskite Solar Cells,Power Conversion Efficiency,Pressure Sensor,Real-time Object Detection,Real-time Performance,Solar Photovoltaic,Spatial Resolution,Technology Node,Thin-film Solar Cells,Transparent Conductive Oxide,Vehicle Detection,You Only Look Once,2D Materials,Accuracy And Precision,

Biography

Gufran Ahmad received the M.Tech. degree from the IIT BHU, Varanasi, India, in 2012, and the Ph.D. degree from the Indian Institute of Technology Kharagpur, Kharagpur, India, in 2019.
He has served as a Project Scientist with the IIT Delhi, New Delhi, India, and been involved in the development of photodetectors for defense and security applications. Currently, he is with the Department of Electrical Engineering, Dayalbagh Educational Institute (Deemed University), Agra, India, where he is an Assistant Professor. Currently, he is involved in and supervising the development of lab-on-a-chip biosensors for the rapid detection of viruses under a DST (Government of India) project grant. His research interests include microelectronics, biomedical device development, and circuit design for neuromorphic and health applications.