Rajesh Godasu

Education

Ph.D., Information Systems, Dakota State University

M.S., Information Systems, Dakota State University;

B.Tech., Electronics and Communication, Jawaharlal Nehru Technological University

Biography

Dr. Rajesh Godasu earned his Ph.D. (2024) and M.S. (2017) in Information Systems from Dakota State University, and holds a B.Tech. in Electronics & Communication from Jawaharlal Nehru Technological University, Hyderabad (2014). Prior to Bradley University,  Dr. Godasu worked as Instructor of Data Science in the School of Electrical Engineering and Computer Science Department (SEECS) at the University of North Dakota from August 2023 to August 2025, where he was responsible for teaching undergraduate and graduate-level courses on subjects such as Machine Learning , Data Visualization, Data Science Ethics and Computing for Data Science.

Awards and Achievements

First place in the Research poster competition at South Dakota State University Data Science Symposium 2020 for the poster titled “Multi-Stage Transfer Learning System with Lightweight Architectures in Medical Image Classification”.

Best Paper award for IEEE World AIIOT 2024 at Seattle for “Classification of Microcystins Based on Temperature Data in North Dakota Lakes”.

Top 25% paper award for “Impact of dataset size and transfer learning on truncated lightweight architecture” at AMCIS 2024.

Graduate Research Initiative Award ($500 GRI grant from Dakota State University)

Teaching

Currently Teaching

• MIS 173 – Introduction to Business Analytics
• MIS 272 – Business Analytics Tools and Techniques

Scholarship

His research interests revolve around applying Deep Learning and Machine Learning strategies in medical image analysis, text mining, and data-driven decision support in healthcare. He has published in MWAIS, AMCIS, IEEE AIIoT, and SAIS.

Selected Peer-Reviewed Articles

Sutrave, Kruttika; Godasu, Rajesh; Singh, Akanksha; Van Slyke, Craig; and Mansour, Joseph, “RESPONSIBLE AI IN HEALTHCARE: OPPORTUNITIES AND CHALLENGES” (2025). SAIS 2025 Proceedings. – (Panel Discussion)

Godasu, Rajesh; Zeng, David; and Sutrave, Kruttika, “IMPACT OF DATASET SIZE AND TRANSFER LEARNING ON TRUNCATED LIGHTWEIGHT ARCHITECTURE” (2024). AMCIS 2024 Proceedings. 27. – (Top 25% Paper award)

Sujatha, Meera Gopinath, Rajesh Godasu, and Prakash Ranganathan. “Classification of Microcystins Based on Temperature Data in North Dakota Lake.” 2024 IEEE World AI IoT Congress (AIIoT). IEEE, 2024. – (Best Paper award)

Noteboom, C., Zeng, D., Sutrave, K., Behrens, A., Godasu, R., & Chauhan, A. (2023). Data-Driven Clinical Decision Support Systems Theory and Research. In Encyclopedia of Data Science and Machine Learning (pp. 1373-1390). IGI Global. – (Book Chapter)

Godasu, Rajesh; Zeng, David; and Sutrave, Kruttika, “Transfer Learning in Medical Image Classification: Challenges and Opportunities” (2020). MWAIS 2020 Proceedings. 18.

Sutrave, Kruttika, Rajesh Godasu, and Cherie Noteboom. “Strategic use of social media by higher education to influence alumni engagement.” MWAIS 2020 Proceedings 15 (2020).

Service

Reviewer – Journal of Southern Association of Information Systems (JSAIS), Hawaii International Conference on System Sciences (HICSS),  Americas Conference on Information Systems (AMCIS), IEEE Cyber Awareness and Research Symposium (CARS).

Chair for Mini-Track Titled “Opportunities and Challenges in Digital Transformation through Generative AI” at AMCIS 2025

Session Chair – IEEE Cyber Awareness and Research Symposium – 2024 ( CARS), Southern Association of Information Systems 2025(SAIS) 

Committee – Technical program committee member for International Conference on Computer Applications Technology – 2024 (CCAT), Technical Program Committee Member – 16th ICT for Africa Conference 2025 (ICT4A)