DR. INDRANIL SARKAR

DR. INDRANIL SARKAR biography

Dr. Indranil Sarkar is currently serving as an Assistant Professor in the Department of Computer Science and Engineering at Sister Nivedita University, Kolkata. With a robust academic background and a passion for research, Dr. Sarkar has made significant contributions to the field of Information Technology.

Prior to joining Sister Nivedita University, Dr. Sarkar held the position of Assistant Professor in the Department of Computer Science and Engineering at Christian College of Engineering & Technology, Bhilai, Chhattisgarh. He earned his Ph.D. degree from the National Institute of Technology, Raipur, India, in 2022. His doctoral research focused on cutting-edge advancements in his field, enhancing his expertise and scholarly achievements.

Dr. Sarkar completed his undergraduate (B.Tech) and postgraduate (M.Tech) degrees in Computer Science and Engineering from Maulana Abul Kalam Azad University of Technology (formerly West Bengal University of Technology) in 2013 and 2015, respectively. His academic journey has been distinguished by numerous publications in reputed journals indexed in SCI and Scopus, along with presentations at prestigious international conferences.

His research interests encompass a wide array of domains within Computer Science and Engineering, including Wireless Communications and Networking, Fog Computing, Edge Computing, Machine Learning, and Deep Learning. Dr. Sarkar's innovative approach to these fields has resulted in the development of novel methodologies and solutions aimed at addressing contemporary challenges in technology.

Dr. Sarkar is dedicated to fostering a dynamic learning environment and nurturing future leaders in the field of Computer Science and Engineering. His commitment to research excellence, combined with his comprehensive academic background, positions him as a pivotal figure in advancing knowledge and innovation at Sister Nivedita University.

Best Skills

• Wireless Communications and Networking: Expertise in designing and optimizing wireless communication systems, protocols, and networks.
• Fog Computing and Edge Computing: Proficiency in developing frameworks and solutions for fog and edge computing environments.
• Machine Learning and Deep Learning: Knowledge of applying machine learning and deep learning techniques to solve real-world problems in various domains.
• Research and Publication: Extensive experience in conducting research, publishing in SCI and Scopus indexed journals, and presenting at international conferences.
• Academic Instruction: Skillful in delivering lectures, designing curriculum, and mentoring students in Computer Science and Engineering disciplines.
• Project Management: Capability to lead and manage research projects, ensuring adherence to timelines and objectives.
• Data Analysis: Strong analytical skills for interpreting data, conducting experiments, and deriving meaningful insights.
• Collaboration and Teamwork: Proven ability to collaborate effectively with interdisciplinary teams and industry partners.
• Problem-solving Skills: Aptitude for identifying and addressing complex challenges in Information Technology through innovative approaches.
• Technology Integration: Practical knowledge of integrating advanced technologies into practical applications for enhanced performance and efficiency.