Dr. Rashmi Keshri

Dr. Rashmi Keshri is an academician and researcher specializing in Cloud Computing, Edge–Fog–Cloud ecosystems, and intelligent resource optimization. She completed her Ph.D. in Computer Science and Technology from Jawaharlal Nehru University (2020–2025), focusing on machine learning-based job classification, metaheuristic optimization, and energy-efficient placement models for distributed systems.

She holds an M.Sc. in Computer Science from Banaras Hindu University, where she graduated as a Gold Medalist, and a B.Sc. (Hons.) in Computer Science from Hansraj College, University of Delhi.

Currently serving as an Assistant Professor at UPES, she teaches Cloud Computing Deployment & Architecture and Operating Systems. Her work integrates research-driven insights with teaching to prepare students for emerging distributed computing environments.

Dr. Rashmi Keshri is currently serving as an Assistant Professor at UPES, Dehradun (2025–present), where she teaches Cloud Computing Deployment & Architecture and Operating Systems.

Prior to this, she worked as a research scholar at Jawaharlal Nehru University, focusing on cloud–fog–edge resource management, intelligent scheduling, and optimization models. Her experience includes developing machine learning and metaheuristic-based solutions for distributed computing systems.

Cloud–Fog–Edge Computing | Resource & VM Placement | Machine Learning for Distributed Systems | Metaheuristic Optimization | Federated Learning | Energy-Efficient Systems | IoT Workload Management

Dr. Keshri believes that strong conceptual foundations combined with analytical thinking and practical exposure are essential for effective learning in computer science. She emphasizes problem-solving, experimentation, and research-driven inquiry.

Her teaching approach encourages students to connect theoretical concepts with real-world distributed computing scenarios, fostering critical thinking, innovation, and solution-oriented learning.

Cloud Computing Deployment & Architecture | Operating Systems

Recipient of UGC-SRF (2023) and UGC-JRF (2019). Qualified UGC-NET (2018) and GATE (2020). Awarded Gold Medal in M.Sc. Computer Science from Banaras Hindu University.

Dr. Rashmi Keshri has contributed extensively to research in cloud and fog computing through publications in Scopus and Web of Science indexed journals. Her work includes machine learning-based IoT task classification, hybrid metaheuristic approaches for VM placement, and energy-efficient resource allocation.

Her research explores hybrid optimization techniques such as JAYA–GWO and ACO–GWO models, along with communication-aware placement strategies. She has presented her work at international conferences in artificial intelligence, data science, and computational intelligence.

She is actively involved in developing innovative solutions for smart healthcare, task offloading, and intelligent fog device deployment, continuing to explore advanced ML and metaheuristic frameworks for distributed systems.

rashmi.keshri@ddn.upes.ac.in