Rajvardhan Patil, Ph.D.
Assistant Professor, Department of Computer Science
Email: [email protected]
Phone: (616) 331-4375
Office: MAK C-2-208
Education
Ph.D., Information Technology, University of Nebraska at Omaha, 2016
Semester Schedule
Other office hours by appointment only.
|
Day |
Session Title |
Time |
Location |
|---|---|---|---|
|
Monday |
|||
|
Tuesday |
CIS 353-3 |
1:00 p.m. - 2:15 p.m. |
MAK B 1118 |
|
Wednesday |
|||
|
Thursday |
CIS 353-3 CIS 676-1 (Multi-Delivery) |
1:00 p.m. - 2:15 p.m. 6:00 p.m. - 8:50 p.m. |
MAK B 1118 DCIH 507 |
|
Friday |
Additional Courses
Asynchronous Courses: CIS 679-1
Biography
Dr. Rajvardhan Patil is a dedicated faculty member, where he brings his expertise in natural language processing (NLP), data science, and generative AI to both his teaching and research. His current research focuses on advancing NLP techniques and exploring innovative applications of Machine Learning across various domains. Dr. Patil actively contributes to general education as a member of the General Education committee until 2027. Additionally, he serves as member of the Graduate Affairs Committee providing guidance on graduate education.
In the classroom, he is passionate about teaching a wide range of computing courses, including databases, data engineering, data structures and algorithms, programming, mobile and web development, NLP, Generative AI, and information storage and retrieval. Outside of academia, Dr. Patil enjoys biking, practicing yoga, and traveling to explore new cultures and perspectives.
Recent Publications
- Patil, R., Boit, S., Gudivada, V. N., & Nandigam, J. (2023). A Survey of Text Representation and Embedding Techniques in NLP. IEEE Access, 11, 36120–36146. https://doi.org/10.1109/ACCESS.2023.3266377
- Patil, R., Brown, M., Ibrahim, M., Myers, J., Brown, K., Khan, M. S., & Callaway, R. (2019). Digital distraction outside the classroom: An empirical study. J. Comput. Sci. Coll., 34(7), 46–55. https://doi.org/10.5555/3344081.3344086
- Khan, M. S., & Patil, R. (2018). Acoustic Characterization of PVC Sewer Pipes for Crack Detection Using Frequency Domain Analysis. IEEE International Smart Cities Conference, ISC2 2018, Kansas City, MO, USA, September 16-19, 2018, 1–5. https://doi.org/10.1109/ISC2.2018.8656739
Research with Students
- ChatGPT based ChatBot Application