Headshot of Vinayaka Gude

Vinayaka Gude

Assistant Professor of Business Analytics

Department: Management and Entrepreneurship

Office and address: Koury Business Center, Office 316 2075 Campus Box Elon, NC 27244

Phone number: (336) 278-2149

News & Notes

Education

Ph.D. Systems Engineering - Missouri University of Science and Technology

M.S. Systems Engineering - Missouri University of Science and Technology

B.Tech. Chemical Engineering - Jawaharlal Nehru Technological University

Grants Awarded

Hultquist F R&D - Summer 2025 ($2000)

Publications

Journal Publications:

  • Gude, V.; Hsiao, D. Incorporating Media Coverage and the Impact of Geopolitical Events for Stock Market Predictions with Machine Learning. J. Risk Financial Manag. 2025, 18, 288. https://doi.org/10.3390/jrfm18060288

  • Gude, V., Melendez, R. & Islam, M.M. Factors influencing anticipated migration patterns across metropolitan cities in the United States between 2018 and 2022. Front. Urban Rural Plan. 3, 3 (2025). https://doi.org/10.1007/s44243-025-00053-6

  • Gude, V., & Hsiao, D. (2024). The impact of social media presence, response time, corporate actions on the stock market: evidence from the Russia–Ukraine war. Applied Finance Letters, 13, 144-157. https://doi.org/10.24135/afl.v13i.730

  • Gude, V. (2023). Factors Influencing ChatGpt Adoption for Product Research and Information Retrieval. Journal of Computer Information Systems, 1–10. https://doi.org/10.1080/08874417.2023.2280918 

  • Gude, V. (2023), "A multi-level modeling approach for predicting real-estate dynamics", International Journal of Housing Markets and Analysis, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJHMA-02-2023-0024

  • Gude, V.; Corns, S. Integrated Deep Learning and Supervised Machine Learning Model for Predictive Fetal Monitoring. Diagnostics 2022, 12, 2843. 

  • Gude, V.; Modeling a decision support system for Covid-19 using systems dynamics and fuzzy inference. Health Informatics Journal. 2022;28(3). 

  • Gude, V.; Corns, S.; Long, S. Flood Prediction and Uncertainty Estimation Using Deep Learning. Water 2020, 12, 884.

Conference Publications:

  • Gude, V., Corns, S., Dagli, C., & Long, S. (2020). Agent based modeling for flood Inundation mapping and rerouting. Procedia Computer Science, 168, 170-176. 

  • V. Nagendra, H. Gude, D. Sampath, S. Corns and S. Long, "Evaluation of support vector machines and random forest classifiers in a real-time fetal monitoring system based on cardiotocography data," 2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Manchester, 2017, pp. 1-6, doi: 10.1109/CIBCB.2017.8058546.

  • J.Goldschmid, V. Gude, and S. Corns, “SoS Explorer Application with Fuzzy-Genetic Algorithms to Assess an Enterprise Architecture – A Healthcare Case Study,” Procedia Computer Science, vol. 185, pp. 55–62, 2021.

  • M. M. Islam, M. Rahman, F. Heidari, and V. Gude, “Optimal onsite microgrid design for net-zero energy operation in the manufacturing industry,” Procedia Computer Science, vol. 185, pp. 81–90, 2021.

Awards

  • Junior Faculty Award for Outstanding Teaching, Research and Service - Spring 2024

  • Presidential Award to support Undergraduate Research - Fall 2022