Anik Mallik

Assistant Professor

Education

Ph.D., Electrical Engineering, The University of North Carolina at Charlotte

M.B.A., Marketing, Institute of Business Administration, The University of Dhaka

B.Sc., Electronics and Communication Engineering, Khulna University of Engineering and Technology

Areas of Expertise

Energy measurement of AI applications

QoS improvements of AI

Wireless communication and networks

Experimental research on edge computing with physical testbed

Selected Publications and Presentations:

  • Anik Mallik, Jiang Xie, and Zhu Han, "A performance analysis modeling framework for edge computing-enabled extended reality applications in high-mobility wireless networks," in Proceedings of IEEE International Conference on Distributed Computing Systems (ICDCS), Jersey City, NJ, 2024.
  • Anik Mallik, Dawei Chen, Kyungtae Han, Jiang Xie, and Zhu Han, "Unleashing the true power of Age-of-Information: Service aggregation in connected and autonomous vehicles,'' in Proceedings of IEEE International Conference on Communications (ICC), Denver, CO, 2024.
  • Xiaolong Tu, Anik Mallik, Haoxin Wang, and Jiang Xie, "DeepEn2023: Energy datasets for edge artificial intelligence,'' in Proceedings of NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning, 2023.
  • Xiaolong Tu, Anik Mallik, Haoxin Wang, Jiang Xie, Dawei Chen, Kyungtae Han, and Onur Altintas, "Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring across Edge Devices," in Proceedings of ACM/IEEE Symposium on Edge Computing (SEC), 2023.
  • Anik Mallik, Haoxin Wang, Jiang Xie, Dawei Chen, and Kyungtae Han, "EPAM: A predictive energy model for mobile AI," in Proceedings of IEEE International Conference on Communications (ICC), Rome, Italy, 2023.
  • Anik Mallik and Jiang Xie, "H.264 video encoding-based edge-assisted mobile AR systems: Network and energy issues", in Proceedings of IEEE International Conference on Communications (ICC), Seul, South Korea, 2022.