I am Assistant Professor of Department of Computer Science at the Oklahoma State University. I lead The Complex Systems Lab at OSU

My research area in general is applied machine learning for real world complex systems with large scale networks and text data to model prediction and forecasting problems. Applications include computational social science, recommender systems, and computational biology.

Research Positions

We have multiple research positions in data science, social network analysis, and computational biology open for enthusiastic graduate (M.S. and Ph.D.) and undergraduate students.

Email abagava@okstate.edu along with CV to get more details.

Research Team


Arunkumar Bagavathi



Sadia Kamal

Ph.D. (CS)


Farhan Tanvir

Ph.D. (CS)
co-advised with Dr. Akbas (2022-Present)


Rifat Rafiuddin

Ph.D. (CS)


Mohammed Rakib

Ph.D. (CS)


Samuel Fipps

M.S. (CS)


Adil Aman Mohammed

M.S. (CS)


Brenner Little

Junior (CS)


Drake Geeteh

Sophomore (CS)


Jacob Williams

Sophomore (Honors Thesis)



Srinath Sai Tripuraneni

In our lab: M.S. CS (2023)


Jade Gullic

In our lab: Undergrad Researcher (2021-23)
Next at: Signal Intelligence Computer Engineer (Fathom 4)


Prasad Hajare

In our lab: M.S. CS (2021)
Next at: Software Developer (Delta Airlines)

Latest Publications


    Kamal, S., Little, B., Harms, T., Gullic, J., and Bagavathi, A., “Modeling Political Orientation of Social Media Posts: An Extended Analysis” (Under review) in Springer Journal of Intelligent Information Systems (JIIS) [Impact Factor: 2.5] - (Involves REU research)

    Kamal, S., Hartford, J., Willis, J., and Bagavathi, A. “Learning Unbiased News Article Embeddings: A Fair and Knowledge-Infused Approach” (Accepted at) in IEEE International Conference on Machine Learning and Applications (ICMLA), 2023 [arXiv] - (Involves RET research)

    Tripuraneni, S.S., Kamal, S., and Bagavathi, A. “Quantitative Analysis of Forecasting Models: In the Aspect of Online Political Bias” (Accepted at) in IEEE International Conference on Machine Learning and Applications (ICMLA), 2023 [arXiv]


    Tarnowska, S., Bagavathi, A., and Ras, Z. W., "High-Performance Actionable Knowledge Miner for Boosting Business Revenue", in Applied Sciences, 12(23), 2022, p.12393[Paper]

    Kamal, S., Gullic, J. and Bagavathi, A., "Modeling Polarization on Social Media Posts: A Heuristic Approach Using Media Bias", in Foundations of Intelligent Systems: 26th International Symposium, ISMIS, 2022, pp. 35-43[Paper]


    Hajare, P., Kamal, S., Krishnan, S. and Bagavathi, A., "A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches", in 20th IEEE International Conference on Machine Learning and Applications (ICMLA), 2021, pp. 239-243[Paper]

    Aakur, S.N., Indla, V., Indla, V., Narayanan, S., Bagavathi, A., Ramnath, V.L. and Ramachandran, A., "Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome Analysis", in IEEE International Conference on Data Mining Workshops (ICDMW), 2021 pp. 500-507[Paper]

    Aakur, S. N., Indla, V., Bagavathi, A., Narayanan, S., Ramachandran, A., Ramnath, V. L. "MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis" in 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Springer, Cham, 2021 pp. 592-602[Paper]

    Indla, V., Indla, V., Narayanan, S., Ramachandran, A., Bagavathi, A., Ramnath, V. L., Aakur, S. N. "Sim2Real for Metagenomes: Accelerating Animal Diagnostics with Adversarial Co-Training" in 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Springer, vol. 12712, 2021, pp. 164-175 (Acceptance Rate: 20%)[Paper]

    Aakur, S. N. and Bagavathi, A., "Unsupervised Gaze Prediction in Egocentric Videos by Energy-based Surprise Modeling", in International Conference on Computer Vision Theory and Applications, 2021, pp. 935-942[Paper]

Old Publications


Cloud Computing and Distributed Systems - Spring'20, Spring'21, Spring'22

Big Data Analytics - Fall'20, Fall'21, Fall'22


Sai Narayanan (OSU), Joshua Melton (UNC Charlotte), Michael Ridenhour (UNC Charlotte), Vineela Indla (OSU), Dr. Kristin Olofsson (OSU), Dr. Esra Akbas (Georgia State University), Dr. Akhilesh Ramachandran (OSU), Dr. Siddharth Krishnan (UNC Charlotte), Dr. Sathyanarayanan N. Aakur (OSU), Dr. Shi Chen (UNC Charlotte), Dr. Zbigniew Ras (UNC Charlotte), Dr. Angelina A. Tzacheva (UNC Charlotte), Dr. Elaheh Raisi (LinkedIn), Dr. Jaishree Ranganathan (Middle Tennessee State University)

Research Sponsors

Computer Science @ OSU
Big Data REU Site
ML4Graphs 2022

Latest News
Sept. 2023 Invited to serve in the Program Committee of AAAI ICWSM 2024
Sept. 2023 Sadia receives OSU CS department's Best Student Scholar and Best Student Leader awards for 2023. Congratulations Sadia!
Sept. 2023 2 papers accepted at IEEE ICMLA 2023 Congrats Sadia and Srinath!
Aug. 2023 Jacob Williams joins the lab for BS Honor Thesis
Aug. 2023 Farhan Tanvir joins Georgia State University as a Lecturer
Aug. 2023 Mohammed Rakib joins the lab as Ph.D. student
Jul. 2023 Invited to serve in the program committee of ACM IKDD CODS-COMAD
May. 2023 Trevor Harms joins the lab for NSF REU'23
May. 2023 Congrats Sadia for completing the Ph.D. Qualifiers!


Arunkumar Bagavathi, Ph.D.
Assistant Professor
215 MSCS
Dept. of Computer Science
Oklahoma State University