K K Pattanaik (Indian Institute of Information Technology and Management Gwalior)
Atal Bihari Vajpayee Indian Institute of Information Technology and Management
About
Prof. Pattanaik holds Bachelor degree in Electrical & Electronics Engineering followed by Master and Doctorate in Computer Science & Engineering. He is enthusiastic about exploring various engineering application domains involving Distributed and Mobile Computing, Wireless Sensor Network protocols, Edge Computing applied to digitisation in industry. The Wireless Sensor Network laboratory in his department is equipped with the necessary computing facilities (simulation and hardware) and is accessible round the clock for learning. The competitive ambiance of the laboratory is instrumental for many public funded research projects and high impact factor research publications. He serves as an Associate Editor of IEEE IoT Journal and reviewer for several acclaimed journals.
Research interest:
Distributed systems, Edge computing for IoT, Mobile computing.
Network Systems with focus on Wireless Networks, Mobile cyber-physical systems, Internet of Things. Applied Machine learning
Employment
-
Atal Bihari Vajpayee Indian Institute of Information Technology and Management Full Professor2023 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (65)
- Edge-AI: A systematic review on architectures, applications, and challenges Save
- MCMDA: A continual learning and frugal AI based quality inspection mechanism for edge computing platforms Save
- Context-Aware Adaptive Filtering Framework for Lightweight Online Prediction Save
- Optimal DNN Layer Placement for Industrial IoT: A Novel Multichoice Multidimensional Knapsack Approach Save
- PackMASNet: An information integration approach for quality inspection in industry 5.0 Save
- SCL: A sustainable deep learning solution for edge computing ecosystem in smart manufacturing Save
- A Novel Semi-Supervised Learning for Industrial Edge Computing Platforms in Quality Prediction Save
- Data Agent-Based Volumetric Progress Monitoring over Mobile Ad-Hoc Network in Disaster Management Save
- An efficient DNN splitting scheme for edge-AI enabled smart manufacturing Save
- A Data Traffic Remapping Scheme for Delay Sensitive Industrial Applications Save