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Academic Experts
Dr. Bhawna Gupta

Biography

Dr. Bhawna Gupta serves as Assistant Professor (Senior Grade) in the Department of Electronics and Communication Engineering at Jaypee Institute of Information Technology (JIIT), Noida, bringing over 22 years of expertise in teaching, research, and academic leadership. A Senior Member of IEEE, Fellow of IETE, and member of IEI, IEEE Women in Engineering, and IEEE Young Professionals, she specializes in Biomedical Signal Processing, Machine Learning, Deep Learning, and Image Processing. 

Dr. Gupta earned her Ph.D. from JIIT, focusing on hybrid de-speckling techniques for ultrasound images, complemented by M.Tech and B.Tech in Electronics from Aligarh Muslim University, both with First Division Honors. She has filed two patents and has published extensively, including a book, Introduction to Digital Systems (2018), multiple SCIE/Scopus-indexed journal papers, IEEE conference papers, and a book chapter on post-pandemic research opportunities. Her research contributions include innovative ultrasound speckle reduction techniques and leadership in a funded project on self-navigating vehicles for the specially-abled (JIIT, ongoing). 

Dr. Gupta has established the Basic Electronics Lab, contributed to the Advanced DSP Lab, and guided over 100 M.Tech and B.Tech projects. She holds key roles in JIIT’s Departmental Quality Assurance Cell, IEEE-co-sponsored ICSC conference organizing, and alumni and curriculum committees. Dr. Gupta’s accolades include Coursera certifications in Neural Networks and Python, excellent AICTE SLA ratings, and a 1995 Certificate of Merit for academic excellence. She has delivered talks on 5G opportunities and organized workshops, fostering collaboration with IIT Guwahati and industry partners.

Research Highlights

Dr. Bhawna Gupta’s research centers on Biomedical Signal Processing, Machine Learning, Deep Learning, and Image Processing, with ongoing emphasis on integrating ML for enhanced signal analysis and autonomous systems. Her Ph.D. work, Hybrid De-Speckling Techniques for Improved Edge Preservation in Ultrasound Images, develops hybrid methods like AMID with adaptive thresholding and BEMD-cross bilateral filtering, published in prestigious journals including Journal of Circuits, Systems, and Computers (SCIE, Scopus) and Advances in Electrical and Electronic Engineering (ESCI, Scopus). These innovations improve ultrasound image quality, aiding accurate medical diagnostics. Her research applications span healthcare, improving ultrasound imaging for early disease detection, and autonomous navigation, with contributions like a comparative analysis of Hough Transform and CNNs for self-driving vehicles (IEEE ICSC 2023). Her research impacts healthcare through clearer imaging for disease detection and assistive technologies for the specially-abled. Collaborations include national ties with IIT Guwahati for 5G/6G webinars and international IEEE-co-sponsored ICSC conferences. As Principal Investigator, she leads the Directorate of innovation, Research and Development (JIIT Noida) - funded project "Self-Navigating Vehicle for Specially-Abled People," advancing assistive technology. With over 10 peer-reviewed publications, a book (Introduction to Digital Systems), and a book chapter, her work shapes academic curricula and industry practices. By mentoring over 100 M.Tech / B.Tech projects and organizing workshops, Dr. Gupta bridges theoretical innovation with practical solutions, driving advancements in medical imaging and intelligent systems.

Areas of Interest
  • Machine Learning
  • Deep Learning
  • Signal and Image Processing
  • Biomedical Signal Processing
Patents
  • Patent Title: Smart Walking Cane for Parkinson’s Patients
    ID : 456781- 001 (Granted)
  • Patent Title: IOT Enabled Smart Pot for Plant Care
    ID : 468727- 001(Filed)