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About Us

Monica Gupta

Dr. Monica Gupta , a distinguished scholar in Electronics and Communication Engineering, earned her Ph.D. from Delhi Technological University in 2022, highlighting a relentless commitment to academic excellence. With over 17 years of teaching experience, she currently serves as an Associate Professor at Bharati Vidyapeeth’s College of Engineering, New Delhi. A prolific researcher, Dr. Gupta has made substantial contributions in Low Power Memory Design, Image and Video Processing, VLSI, IoT, Artificial Intelligence and Machine Learning, evident in her numerous publications in reputable journals and conferences. Beyond academia, she has initiated the IOSC-BVP student club, in collaboration with Intel OneAPI Student ambassador, addressing the skill gap between graduates and industry expectations. Inaugurated on November 7, 2022, the club focuses on skill enhancement programs, organizing national-level events to deepen students' understanding of crucial areas like Artificial Intelligence, Internet of Things, Machine Learning, and Website Development. Dr. Monica Gupta's impact extends beyond the classroom, shaping the future of engineering by bridging academic knowledge with industry needs. Her dynamic leadership and commitment to excellence make her a trailblazer in the landscape of Electronics and Communication Engineering education.

Publications

Integration of Advanced Obstacle Avoidance in Automated Robots to Enhance Autonomous Firefighting Capabilities

The integration of obstacle avoidance and fire extinguishing in robots is essential for large-scale projects. This paper presents the design, development, and performance...

Harnessing AI in Geospatial Technology for Environmental Monitoring and Management: Applications of AI for Geospatial Data Processing

The chapter explores the role of Geospatial Technology in processing, and analyzing geographically-referenced data from various sources, such as satellite imagery, sensor...

An Optimized Approach for Real-Time License Plate Detection and Tracking Using YOLO-NAS and SORT With Comparative Analysis of YOLO Variants

This paper introduces an innovative deep learning model to enhance license plate recognition systems, using YOLO-NAS for accurate detection and recognition in real-world...

Technological Advancements in Drug Dispensing: Revolutionizing Patient Care

The chapter examines how modern technology might transform and revolutionize the healthcare industry. The development and adoption of AI-based drug dispensing system has had a...

Automated Medicine Dispenser Powered by Arduino and Flowmeter With AI Integration

The Automated Medicine Dispenser is a device that helps people, especially the elderly and those with long-term illnesses, take their medicines on time. It exploits smart...

Charging Ahead: Breakthroughs in Electric Vehicle Battery Enhancement

The shift towards electric vehicles (EV) signifies a monumental advancement in automotive technology, presenting a sustainable remedy to the environmental dilemmas posed by...