Bibudhendu Pati
Rama Devi Women's University, Indian Institute of Technology Kharagpur
About
Professor Bibudhendu Pati (Senior Member, IEEE) received the B.E. (Hons.) and M.E. degrees in CSE from the National Institute of Technical Teachers Training and Research, Chandigarh, India, and the Ph.D. degree from the Indian Institute of Technology Kharagpur, Kharagpur, India, He is working as Professor in the Department of Computer Science, Rama Devi Women’s University, Bhubaneswar, India. He has around 29 years of experience in teaching and research. He has been involved in many professional and editorial activities. He has got several papers published in reputed journals, conference proceedings, and books of international repute. His current research interests include machine learning, wireless sensor networks, mobile cloud computing, Internet of Things, Artificial Intelligence, and advanced network technologies., Dr. Pati is the Life Member of ISTE and CSI.
Employment
-
Rama Devi Women's University Head of the Department2018 - Present
Education
-
Indian Institute of Technology Kharagpur PhD2010 - 2014
Projects & Funding
Projects & funding information is unavailable.
Publications (95)
- Enhanced Artificial Rabbit Optimization with attention-based deep learning for leukemia cancer classification Save
- An innovative aggregation operator for enhanced decision-making: A study on interval-valued Pythagorean fuzzy soft sets in material selection Save
- Enhancing Fault Tolerance in Cloud Computing using Modified Deep Q-Network (M-DQN) for Optimal Load Balancing Save
- Group-Based Itinerary Recommendation Engine for the Tourist Save
- I-Health: SDN-Based Fog Architecture for IIoT Applications in Healthcare Save
- Point-of-Interest Recommendation Using IoT Save
- Emergency management systems using mobile cloud computing: A survey Save
- gTravel: Weather-Aware POI Recommendation Engine for a Group of Tourists Save
- AIoT-based water management and IoT-based smart irrigation system: effective in smart agriculture Save
- wPOI: Weather-Aware POI Recommendation Engine Save