Current Areas:

1. Energy-efficient AI applications

• Energy benchmark for AI applications on mobile devices

  • Check out our project website here!

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

2. Edge computing for AI

3. AI fingerprinting and QoS degradation attack

4. Quantum systems

Previous Areas:

Metamaterials, FPGA Implementation, Antenna, Wireless Communication

Current Grants:

1. National Science Foundation, 

Title: CRII: CNS: “Bringing energy-efficiency in edge-supported systems for delay-sensitive real-time cooperative mobile augmented reality” 

Award No.: 2451736 [Link]

PI: Anik Mallik

Award amount: $149,998

Project duration: July 2025 – July 2027

Research Group:

Doctoral Students 

• • Lawrence Oyaniyi (Towson University) 

  • Pritom Biswas Udas (Towson University)

  • Kowshik Sankar Roy (Towson University) 

Master's Students 

• Andrei Viktorovich Kondrashov (Towson University)

Undergraduate Researchers 

• Cory Burns (Towson University)

Graduated students 

• Matthew Schneider (MS in CS, Towson University) Summer 2025

• Krishna Sruthi Velaga (MS in CS, Towson University) Spring 2025

Journals

• Xiaolong Tu, Anik Mallik, Haoxin Wang, and Jiang Xie, "AIEnergy: An energy benchmark for AI-empowered mobile and IoT devices," International Telecommunication Union (ITU) Journal on Future and Evolving Technologies, vol. 6, no. 2, pp. 183-197, 2025.
  DOI: 10.52953/VWLS9762

Conference Papers

• Md Nahid Hasan Shuvo, Moinul Hossain, Anik Mallik, Jeffrey Twigg, Fikadu Dagefu, "FLARE: A wireless side-channel fingerprinting attack on federated Learning,'' accepted for publication in Proceedings of IEEE International Conference on Computer Communications (INFOCOM), 2026 (acceptance rate 18.9%).

• Krishna Sruthi Velaga, Anik Mallik, and Yifan Guo, "How energy is consumed by LLM-enabled smart home assistant systems on low-cost devices: An empirical study,'' accepted for publication in Proceedings of IEEE Consumer Communications & Networking Conference (CCNC), 2026.

• 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. 

DOI: 10.1109/ICC51166.2024.10622247

• 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

• Anik Mallik, “Energy-efficient intelligent and dynamic offloading for edge-AI,” NSF CSR PI Meeting, Florida Atlantic University, Boca Raton, FL, 2025. [Poster]

• 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]