Ms. Ambuja Kulshreshtha is an Assistant Professor in the Department of Computer Science and Engineering at SRM Institute of Science and Technology (NCR Campus), Ghaziabad, where she has been serving since 2022. Prior to joining SRM IST, she held academic positions at Marwadi University, GITAM University, and KG Reddy Engineering College. Her research is centered on next-generation Internet of Medical Things (IoMT), intelligent wireless and sensor networks, and AI-enabled network intelligence, with specific contributions to QoS-aware Digital Twin frameworks, information-fusion-driven routing, adaptive and context-aware communication, and fuzzy-evolutionary learning approaches for energy-efficient network optimization. Her work focuses on developing intelligent and adaptive networking mechanisms to enhance reliability, resource efficiency, and communication performance in emerging healthcare and sensor-based environments. Her scholarly contributions include peer-reviewed research publications and intellectual property contributions across IoMT, intelligent sensor networks, and emerging communication technologies, including innovations in automated agricultural systems, UAV-based threat detection, and satellite-assisted sensor network architectures. She is a two-time UGC NET qualifier (2017 and 2020) and was awarded the UGC Junior Research Fellowship (JRF) in 2017. She also secured the 99.56 percentile in AP PGECET, reflecting a strong and consistent academic foundation. Prior to her academic career, she worked as a Software Developer at Cyient, gaining industry experience in software development, C#-based application development, and automated reporting solutions. Her technical expertise spans MATLAB, C, C++, Java, C#, Python, Digital Twins, IoT/IoMT architectures, and Generative AI, including Retrieval-Augmented Generation (RAG) pipelines. She is committed to research-driven pedagogy, integrating emerging developments in IoT, AI, intelligent networking, and sensor systems into contemporary engineering education.