About me
How to pronounce my first name: "au-vi-joy"
Greetings!
I'm Avijoy Chakma, a Tenure-track Assistant Professor in the Computer Science department at Bowie State University. I completed my Ph.D. in Information Systems from UMBC and was affiliated with the Mobile, Pervasive & Sensor Computing Lab (MPSC).
Research Interests - Cyber-physical Systems, Multi-modal Sensing, Applied Machine Learning, Data Privacy
Contact
Email: achakma (at) bowiestate (dot) edu, achakma (one) (at) umbc (dot) edu
Office: 217, Computer Science Building, Bowie State University
Education
PhD in Information Systems, UMBC. [Fall 2018 - Summer 2023, Adviser: Dr. Nirmalya Roy]
M.Sc. in Computer Science, Lamar University. [Fall 2015-Spring 2018, Adviser: Dr. Jing Zhang]
B.Sc. in Computer Science and Engineering, Bangladesh University of Engineering and Technology. [Spring 2008 - Spring 2013, Adviser: Dr. A.S.M. Latiful Hoque]
Publications
Avijoy Chakma, Anirban Das, Abu Zaher Md Faridee, Suchetana Chakraborty, Sandip Chakraborty, Nirmalya Roy, AcouDL: Context-Aware Daily Activity Recognition from Natural Acoustic Signals, Eighth IEEE International Workshop on Smart Service Systems SmartSys 2024
Indrajeet Ghosh, Adam Goldstein, Avijoy Chakma, Jade Freeman, Timothy Gregory, Niranjan Suri, Sreenivasan Ramasamy Ramamurthy, Nirmalya Roy, HeteroSys: Heterogeneous and Collaborative Sensing in the Wild, 9th IEEE International Conference on Smart Computing (SMARTCOMP), 2023
Avijoy Chakma, Abu Zaher Md Faridee, Indrajeet Ghosh, Nirmalya Roy. Domain Adaptation for Inertial Measurement Unit-based Human Activity Recognition: A Survey in arXiv preprint, April 2023
Maloy Kumar Devnath, Avijoy Chakma, Mohammad Saeid Anwar, Emon Dey, Zahid Hasan, Marc Conn, Biplab Pal, and Nirmalya Roy. A Systematic Study on Object Recognition Using Millimeter-wave Radar in Proceedings of the 9th IEEE International Conference on Smart Computing (SmartComp), Nashville, Tennessee, USA, June 2023
Indrajeet Ghosh, Sreenivasan Ramasamy Ramamurthy, Avijoy Chakma, Nicholas Waytowich, Nirmalya Roy, ''Sports Analytics Review:AI Applications, Emerging Technologies and Algorithmic Perspective'', WIREs Data Mining and Knowledge Discovery (DMKD), 2022 (IF: 7.55)
[Paper]
Indrajeet Ghosh, Avijoy Chakma, Sreenivasan Ramasamy Ramamurthy, Nirmalya Roy, Nicholas Waytowich. PerMTL: A Multi-Task Learning Framework for Skilled Human Performance Assessment, ICMLA 2022 (AR: 32%)
[Paper]Indrajeet Ghosh, Sreenivasan Ramasamy Ramamurthy, Avijoy Chakma, Nirmalya Roy. De-Coach: Deep Learning-based Coaching for Badminton Player Assessment, Pervasive and Mobile Computing (PMC) Journal, 2022 (IF: 3.84)
Abu Zaher Md Faridee, Avijoy Chakma, Zahid Hasan, Nirmalya Roy, Archan Misra. CoDEm: Conditional Domain Embeddings for Scalable Human Activity Recognition, in Proceedings of the IEEE International Conference on Smart Computing (SMARTCOMP), Aalto University, Finland, 2022
[Paper] [BibTeX]Avijoy Chakma, Abu Zaher Md Faridee, Nirmalya Roy. Semi-supervised Multi-source Domain Adaptation in Wearable Activity Recognition, in Proceedings of the IEEE 18th Annual International Conference on Distributed Computing in Sensor Systems (DCOSS 2022), Marina Del Rey, LA, California, May, 2022 (AR: 25%)
[Paper] [BibTeX]Abu Zaher Md Faridee, Avijoy Chakma, Archan Misra, Nirmalya Roy. STranGAN: Adversarially-Learnt Spatial Transformer for Scalable Human Activity Recognition'', IEEE/ACM international conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2021 (Best Paper Award) (IF: 2.7)
[Paper] [BibTeX]Nhan Nguyen, Avijoy Chakma, Nirmalya Roy. A Scalable and Domain Adaptive Respiratory Symptoms Detection Framework using Earables, National Symposium for NSF REU Research in Data Science, Systems, and Security (REU 2021 Symposium), 2021
[Paper] [BibTeX]Avijoy Chakma, Abu Zaher Md Faridee, Md Abdullah Al Hafiz Khan, Nirmalya Roy. Activity Recognition in Wearables Using Adversarial Multi-Source Domain Adaptation, in Proceedings of the IEEE/ACM 5th International Conference on Connected Health: Applications, Systems and Engineering Technologies, (CHASE) Washington, D.C., December 2020 (AR: 30%)
[Paper] [BibTeX]Soumyajit Chatterjee, Avijoy Chakma, Aryya Gangopadhyay, Nirmalya Roy, Bivas Mitra, Sandip Chakraborty. LASO: Exploiting Locomotive and Acoustic Signatures over the Edge to Annotate IMU Data for Human Activity Recognition, in Proceedings of the 22nd ACM International Conference on Multimodal Interaction (ICMI), Netherlands, October 2020 (AR: 39.3%)
[Paper] [BibTeX]Avijoy Chakma, Abu Zaher Md Faridee, Nirmalya Roy, H M Sajjad Hossain. Shoot Like Ronaldo: Predict Soccer Penalty Outcome with Wearables, in Proceedings of the 6th IEEE International Workshop on Sensing Systems and Applications Using Wrist Worn Smart Devices (WristSense), co-located with PerCom, Austin March 2020
[Paper] [BibTeX]A Chakma, B Vizena, T Cao, J Lin, J Zhang, "Image-based air quality analysis using deep convolutional neural network", Image Processing (ICIP), 2017 IEEE International Conference on, 3949-3952 (AR: 47.9%)
[Paper] [BibTeX]
Students
Remote
Soham Khisa (Sept 2023 - Present)
Avi Dewan (Oct 2023 - Present)
Graduate
Michael Abobor (DSc)
Akif Muhtasim (MS)
Undergraduate
Jared Robinson (SFS Scholar)
High School
Samaya Bonne Annee (SFS - Shadow)
SURI 2024
Demetri Brown
Jalen Theodore
Kevin A Eliasmejia
Academic Services
Alternate Member, University Curriculum Committee, 2024
Alternate Member, Faculty Senate, 2024
Member, Faculty Search Committee, 2024
Community Services
Reviewer - Expert Systems with Applications (2024), PerCom (2019, 2020, 2021, 2022), CHASE (2023), BuildSys (2019), SmartComp (2021, 2022), Big Data, PerHealth, WristSense (2021), Future Generation Computer Systems, IE (2022)
Local Organizer - PerCom (2025), SmartComp and WoWMoM (2019), NSF-TIH PI Meeting (2023)
Undergraduate Research Opportunity Program (UROP)
While pursuing my PhD, I enjoyed working with some brilliant undergraduate students in the Summer UROP program
Temitope Peters (Emory University)
Eduardo Santín Martínez (University of Puerto Rico)
Marc Conn (UMBC, co-mentored with Maloy Kumar Devnath)
Adam Goldstein (UC Berkeley, co-mentored with Indrajeet Ghosh)
Nhan Nguyen (Texas A&M)
Leadership Services
I was very fortunate to actively participate in different leadership roles throughout my academic career. This experience immensely helped me to understand the complicated nature of our surroundings systems
Graduate Student Association, UMBC [Treasurer, Senator (2019-21)]
Bangladesh Student Association, UMBC [Vice-President, Treasurer (2018-20)]
Hobbies
Soccer and gym on regular days and hiking on long weekends
BUET Cricket Team (2009), East Coast Collegiate Badminton Competition (2019), Weightlifting (D - 245 lb, S - 265 lb, B - 145 lb), Hiking (Old Rag, Mt. Mitchell, Grand Canyon 3R, Mt. Whitney)
Industry Experiences
Software Analyst, IPvision Canada Inc. [Nov 2014 - July 2015] (R&D on Cassandra Database)
Java Developer, Cubicasa Oy. [May 2013 - Nov 2014] (Web-based application development for real-estate companies)
Academic Resources
Lab Handbooks are very helpful for the new recruits - Handbook from The Makeability Lab
I get so many questions from the incoming PhD students that I hope the following channels would benefit them - Andy Stapleton PhDCoffeeTime
Why networking is important in academia - Survey on PostDoc hiring at MIT - PDA
Graduate study survival guide - From Toshiya Hachisuka
For prospective Ph.D. students: From Andrej Karpathy
How to write a paper: From Kate Saenko
When kids meet a roboticist - From Siddhartha Srinivasa
Very interesting - 67 Things a Berkeley Student Should Know - Eric Paulos
Writing Tips: From Stephan Zdancewic
Ph.D. thesis work of Dr. Nirupom Roy, presented by his supervisor Dr. Romit Roy Choudhury. Computer Science Lecture Series: The Internet of Acoustic Things (IoAT)
How to do research (for undergraduates) - From John Canny
A new algorithm that computes exact maximum flows and min-cost flows in almost linear time! - Link Courtesy Sumaiya Nazeen