Deepti Sharma
Reviewer
Affiliation: Professor and Program Leader in Cloud Computing, DevOps, Full Stack Development at Chandigarh University, India
Country: India
Domain of Research: Technology Trends,Artificial Intelligence, Artificial Intelligence,Cellular Networks,Cloud Computing,Cryptography,Cyber Security,Data Science
Biography
Dr. Deepti Sharma is a Professor and Program Leader in Cloud Computing, DevOps, and Full Stack Development at Chandigarh University, India, with over 25 years of academic and research experience. She holds a Ph.D. in Computer Science and has extensive expertise in cloud computing, artificial intelligence, IoT, cybersecurity, and sustainable computing. Dr. Sharma has authored numerous research publications in SCI and Scopus-indexed journals, including reputed publishers such as Elsevier, Springer, and IEEE. Her research contributions focus on AI-driven cloud optimization, fog and edge computing, energy-efficient networks, and secure distributed systems. She also holds several patents in emerging technologies such as IoT, blockchain, smart systems, and autonomous solutions. An active contributor to the academic community, Dr. Sharma has served as a reviewer and Technical Program Committee (TPC) member for multiple international conferences, including IEEE and Springer events. She is a Senior Member of the International Association of Computer Science and Information Technology (IACSIT) and a member of professional bodies such as the Computer Society of India (CSI) and IAENG. In addition to her research and reviewing activities, Dr. Sharma is an AWS-certified professional and serves as the SPOC for AWS Academy and AWS Tech Alliance, fostering strong industry-academia collaboration. She has successfully guided postgraduate and doctoral research scholars and frequently delivers keynote talks and expert lectures on emerging technologies.