H.264 Video Encoding-based Edge-assisted Mobile AR Systems: Network and Energy Issues. - Anik Mallik; Jiang Xie 001 (ICC, 2022)

EPAM: A Predictive Energy Model for Mobile AI. - Anik Mallik; Haoxin Wang; Jiang (Linda) Xie; Dawei Chen; Kyungtae Han (ICC, 2023)

Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring Across Edge Devices. - Xiaolong Tu; Anik Mallik; Dawei Chen; Kyungtae Han; Onur Altintas; Haoxin Wang; Jiang Xie 001 (SEC, 2023)

An FPGA-Based Semi-Automated Traffic Control System Using Verilog HDL. - Anik Mallik; Sanjoy Kundu; Md. Ashikur Rahman (CoRR, 2023)

DeepEn2023: Energy Datasets for Edge Artificial Intelligence. - Xiaolong Tu; Anik Mallik; Haoxin Wang; Jiang (Linda) Xie (CoRR, 2023)

Unleashing the True Power of Age-of-Information: Service Aggregation in Connected and Autonomous Vehicles. - Anik Mallik; Dawei Chen; Kyungtae Han; Jiang (Linda) Xie; Zhu Han 001 (ICC, 2024)

A Performance Analysis Modeling Framework for Extended Reality Applications in Edge-Assisted Wireless Networks. - Anik Mallik; Jiang (Linda) Xie; Zhu Ran (ICDCS, 2024)

A Performance Analysis Modeling Framework for Extended Reality Applications in Edge-Assisted Wireless Networks. - Anik Mallik; Jiang (Linda) Xie; Zhu Han 001 (CoRR, 2024)