Current Areas:

Energy-efficient AI applications (Vision, Gen-AI, LLMs), Edge Computing (MEC), Extended Reality (XR), Vehicular Communication

• Energy benchmark for AI applications on mobile devices

  • Check out our project website here!

  • Our work is featured on ACM!  Check the story here. 

Previous Areas:

Metamaterials, FPGA Implementation, Antenna, Wireless Communication

Conference Papers

• 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), 2024 (acceptance rate 21%).
  DOI: 10.1109/ICDCS60910.2024.00073

• 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), 2024. [arXiv preprint]

• 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. [website] [arXiv preprint] [Slides]

• 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 (acceptance rate 25%). 
  DOI: 10.1145/3583740.3628442 [Slides]

• 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 (acceptance rate 30%). DOI: 10.1109/ICC45041.2023.10279417 [Slides]

• 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 (acceptance rate 30%). DOI: 10.1109/ICC45855.2022.9838862 [Slides]

• Anik Mallik and Sanjoy Kundu, "Design of a novel dual-band microstrip patch antenna operating at 2.45 GHz and 2.84 GHz with practical implementation," in Proceedings of IEEE International Conference on Computer and Information Technology (ICCIT), 2014. DOI: 10.1109/ICCITechn.2014.6997297 [Slides]

• Anik Mallik, Sanjoy Kundu, and Md. Osman Goni, "Gain and SAR improvement of a conventional patch antenna using a novel Pi-shaped DNG metamaterial," in Proceedings of IEEE International Conference on Electrical Information and Communication Technology (EICT), 2014. DOI: 10.1109/EICT.2014.6777862 [Slides]

• Anik Mallik, Sanjoy Kundu, and Md. Osman Goni, "Design of a Novel Two-Rectangular U-Shaped Double Negative Metamaterial," in Proceedings of IEEE International Conference on Informatics, Electronics, and Vision (ICIEV), 2013. DOI: 10.1109/ICIEV.2013.6572646 [Slides]

• Anik Mallik, Sanjoy Kundu, and Md. Ashikur Rahman, "An FPGA-Based Semi-Automated Traffic Control System Using Verilog HDL," in Proceedings of International Conference on Electrical, Computer and Telecommunication Engineering (ICECTE), 2012. [arXiv preprint]

Poster Presentation

• 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.

• Anik Mallik, Sanjoy Kundu, and Md. Osman Goni, “Design and Analysis of Metamaterial Based Antenna and Devices,” Varsity Day Thesis Presentation, KUET, 2013. [Poster]