Nazim Choudhury

I am an Assistant Professor in computer science at the University of Wisconsin, Green Bay. Prior to this, I postdoc in the department of computer science and engineering (CSE) at the University of South Florida. As a member of the distributed systems research group (DSG) , I work in a transdisciplinary project titled "Modeling Information Diffusion Processes with Deep Learning Algorithms", funded by DARPA's Computational Simulation of Online Social Behavior SocialSim program.
Prior to joining USF, I worked at the University of Sydney, Central Queensland University and Federation University as an adjunct faculty. I also worked as a software and database developer before pursuing my PhD degree in computer science from the University of Sydney.

Research Interests

Network Science, Network Manipulation, Network security, Social Cybersecurity, and Human Computer Interaction

Selected Publications

Journals

1. Choudhury, N. (2024).: Community-Aware Evolution Similarity for Link Prediction in Dynamic Social Networks. Mathematics, 12(2), 285 (2024) (link)
2. Choudhury, N., Uddin, S.: Evolutionary features for dynamic link prediction in social networks. Applied Sciences 13(5), 2913 (2023) (link)
3. Hasan, N., Islam, M.N., Choudhury, N.: Evaluation of an interactive computer- enabled tabletop learning tool for children with special needs. Journal of Educational Computing Research 60(8), 2105–2137 (2023) (link)
4. Horawalavithana, S., Choudhury, N., Skvoretz, J., Iamnitchi, A.: Online discussion threads as conversation pools: predicting the growth of discussion threads on reddit. Computational and Mathematical Organization Theory, 1–29 (2022) (link)
5. Choudhury, N., Faisal, F., Khushi, M.: Mining temporal evolution of knowledge graphs and genealogical features for literature-based discovery prediction. Journal of Informetrics 14(3), 101057 (2020) (link)
6. Uddin, S., Choudhury, N.: Actor-level dynamicity: Its distribution analysis eases anomaly detection in longitudinal networks. IEEE Access 7, 69422–69433 (2019) (link)
7. Uddin, S., Choudhury, N., Farhad, S.M., Rahman, M.T.: The optimal window size for analysing longitudinal networks. Scientific reports 7(1), 13389 (2017) (link)

Conferences

1. Meqdadi, O., & Choudhury, N. (2023, October). Do API Migrations revert commits-A Preliminary Investigation. In 2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (pp. 50-56). IEEE. (link)
2. Preu, E., Jackson, M., Choudhury, N.: Perception vs. reality: Understanding and evaluating the impact of synthetic image deepfakes over college students. In: 2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference, pp. 0547–0553 (2022). IEEE (link)
3. AlQahtani, A.A.S., Choudhury, N.: Machine learning for location prediction using rssi on wi-fi 2.4 ghz frequency band. In: 2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference, pp. 0336–0342 (2021). IEEE (link)
4. Mahmud, S., Haque, S.A., Choudhury, N.: Improving counting sort algorithm via data locality. In: Proceedings of the 2022 ACM Southeast Conference, pp. 211–214 (2022) (link)
5. Choudhury, N., Ng, K.W., Iamnitchi, A.: Strategic information operation in youtube: the case of the white helmets. In: International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation, pp. 318–328 (2020). Springer (link)
6. Horawalavithana, S., Bhattacharjee, A., Liu, R., Choudhury, N., O. Hall, L., Iamnitchi, A.: Mentions of security vulnerabilities on reddit, twitter and github. In: IEEE/WIC/ACM International Conference on Web Intelligence, pp. 200–207 (2019) (link)
7. Ahmed, M., Choudhury, N., Uddin, S.: Anomaly detection on big data in financial markets. In: Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, pp. 998–1001 (2017) (link)

Book Chapters

1. Mineau, Z., Hoffman, D., Lor, J., Choudhury, N.: In: Ahmed, M., Haskell- Dowland, P. (eds.) Cryptocurrency: Is it the Future of Payments?, pp. 169–183. Springer, Cham (2023) (link)
2. Lamers, C., Spoerl, E., Levey, G., Choudhury, N., Ahmed, M.: In: Ahmed, M., Haskell-Dowland, P. (eds.) Ransomware: A Threat to Cyber Smart Cities, pp. 185–204. Springer, Cham (2023) (link)
3. Uddin, S., Choudhury, N., Piraveenan, M., Chung, K.S.K.: In: Alhajj, R., Rokne, J. (eds.) Exploring Actor-Level Dynamics in Longitudinal Networks: The State of the Art, pp. 794–809. Springer, New York, NY (2018) (link)

Teaching

Courses (Spring 2024)

Courses (Fall 2023)

• Comp Sci 201 (Introduction to Computing & Internet Technologies)


• Comp Sci 203 (Introduction to Python Programming)


• Comp Sci 490 (Capstone Projects in Computer Science)

Courses (Spring 2023)

• Comp Sci 240 (Discrete Mathematics)


• Comp Sci 371 (Object Oriented Design)