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Anik Mallik
Anik Mallik
Welcome to my personal webpage. I'd be happy to receive any questions or feedback from you!
Quick links
Quick links
Short Bio
Short Bio
Hi!
Thanks for visiting my site. I am an assistant professor the Department of Computer and Information Sciences (CIS) at Towson University in Maryland.
I finished my PhD in Electrical Engineering in the Department of ECE at the University of North Carolina at Charlotte (UNCC), advised by Dr. Jiang (Linda) Xie. Before that, I worked in the telecom industry for almost five years in Bangladesh.
My younger brother, Avik Mallik, graduated from St. Cloud State University, Minnesota, and is currently working at RBC Wealth Management as a Sr. Software Engineer and Tech Lead. Our youngest brother, Arnob Mallik, has a real talent for Music and Art. He is studying CS at Toronto Metropolitan University.
My beautiful wife, Susmita Bhowmik, is now a PhD candidate in Civil Engineering at Clemson University. She had her master's in Civil Engineering from the Tokyo Institute of Technology. We both love to travel, read books, watch movies and TV series, and listen to music. What I can't do, but she can, is cook amazing food. However, when she cooks, I amuse her with my songs. Besides, we love to take walks to remember! Last but not least, our one-year-old baby boy, Aditya Sion Mallik, is running nowadays - keeping us on our toes all the time!
As a person, I am very optimistic and analytical. I love to work in and lead groups toward making dreams happen. I am a reverent of Technology in Computer Science and Networks and its advancements. I am also trying to put my marks in this tech revolution.
What cannot go unmentioned is that I love to spend time with my parents, brothers, and friends as well.
//Anik Mallik
Contact Info
Contact Info
Current residence: MD, USA
E-mail: amallik@towson.edu
Latest News
Latest News
December 2025: Collaborative work on AI fingerprinting (with George Mason University and Army Research Laboratory) has been accepted to IEEE INFOCOM (acceptance rate: 18.9%).
October 2025: Krishna's paper on her master's project has been accepted for publication in IEEE CCNC 2026. Congratulations, Krishna!
August 2025: Master's student Matthew successfully defended his project. Congrats, Matthew!
July 2025: Received a grant award from NSF CNS CRII. Check out the link here.
May 2025: Master's student Krishna successfully defended her project; co-advised with Dr. Yifan Guo. Congrats, Krishna!
August 2024: I joined the Dept of CIS, Towson University, as a tenure-track assistant professor.
August 2024: Our work on energy scoring and benchmarking was featured as a showcase on ACM! 🤜 🤜 🤜 Check the story here.
Old News
Old News
July 2024: I presented our paper on XR performance analysis at IEEE ICDCS-2024 in Jersey City, NJ.
July 2024: I defended my doctoral dissertation. Thanks to the committee members for their valuable input.
June 2024: I presented our paper on service aggregation in CAV at IEEE ICC-2024 in Denver, CO.
June 2024: The Graduate School at UNC Charlotte awarded me a travel grant to attend IEEE ICC 2024.
April 2024: The Department of Electrical and Computer Engineering at UNC Charlotte announced me as the recipient of the Outstanding Graduate Research Assistant Award 2023-2024. [Link]
April 2024: I was selected for the Graduate School's Summer Fellowship Program (GSSF) 2024, UNC Charlotte.
April 2024: Our paper on performance analysis framework for XR applications was accepted by the 2024 IEEE ICDCS (acceptance rate 21%).
March 2024: I accepted a job offer from the Department of CIS at Towson University. I joined as a tenure-track assistant professor in August 2024.
January 2024: Our paper on using AoI in high-mobility vehicular service aggregation was accepted for publication by the 2024 IEEE ICC.
December 2023: The newsletter of Ekush-Bangladeshi Students' Organization at UNC Charlotte, "Ekush-Kothon (২১-কথন)" Volume 2 has been published. I was one of the advisors to the editorial board. You can download it from this link.
December 2023: We are about to make the energy dataset of deep learning applications public at NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning, 2023. Follow this website for updated info: Unveiling Energy Efficiency in Deep Learning
November 2023: Our paper on energy benchmark of deep learning applications is in proceedings of 2023 ACM/IEEE SEC (acceptance rate 25%). Xiaolong presented the paper. Thanks, Xiaolong!
August 2023: I defended my PhD proposal on August 8, 2023. (I still have to do a few more things before the final defense!)
June 2023: I presented our paper on energy prediction of mobile AI applications at IEEE ICC-2023 in Rome, Italy.
April 2023: I was awarded the NSF Student Travel Grant to attend the 2023 IEEE ICC in Rome, Italy.
May 2022: I presented our paper on MAR using MEC virtually at IEEE ICC-2022 in Seoul, South Korea.
May 2022: The newsletter of Ekush-Bangladeshi Students' Organization at UNC Charlotte, "Ekush-Kothon (২১-কথন)" Volume 1, Issue 1, was published. I was the fortunate Editor-in-Chief of this issue. You can download it from this Google Drive Link.
21-Kothon_vol-1_issue-1_05-24-2020_low-res-version.pdfPage updated
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