Department
Artificial Intelligence & Data Science - Faculty
3.1 Faculty List
| S.No | Name | Designation | Date of Joining |
| 1. | Dr. P. Phanindra Kumar Reddy | Associate Professor & Head | 18.06.2008 |
| 2. | Dr. K Uday Kumar Reddy | Associate Professor | 14.08.2004 |
| 3. | Mr. B. Panduranga Raju | Assistant Professor | 18.06.2007 |
| 4. | Mr. A. Ramesh Babu | Assistant Professor | 30.08.2010 |
| 5. | Mr. S. Ashok Kumar | Assistant Professor | 01.08.2015 |
| 6. | Mr. P. Nagendra | Assistant Professor | 20.06.2016 |
| 7. | Mr. B. Venkatesu Goud | Assistant Professor | 21.04.2022 |
| 8 | Mr. Y. Venkata Subbaiah | Assistant Professor | 04.11.2022 |
| 9. | Mrs. N Swathi | Assistant Professor | 15.06.2023 |
| 10. | Mr. U Naresh Kumar | Assistant Professor | 01.09.2023 |
| 11 | Ms. S Prasanna | Assistant Professor | 03.10.2023 |
| 12 | Ms. M Joshna | Assistant Professor | 05.10.2023 |
| 13 | Mrs. P Renuka | Assistant Professor | 11.03.2024 |
| 14 | Mr. M. Baba Valli | Assistant Professor | 12.07.2024 |
3.2 Faculty with PhD Degree
- P Phanindra Kumar Reddy, Completed Ph.D. in Computer Science and Engineering in 2020 under the guidance of Dr. Prasanna at Sri Satya Sai University of Technology & Medical Sciences, Bhopal, MP, India, specializing in MANETs.
- K Uday Kumar Reddy, Completed Ph.D. in Computer Science and Engineering in 2019 under the guidance of Dr. P SUBBAIAH at Rayalaseema University, Kurnool, AP, India, specializing in MANETs.
3.3 Visiting Foreign Faculty
Coming Soon
3.4 Awards & Recognition
Coming Soon
3.5 Sponsored Projects
Coming Soon…
3.6 Faculty Development Programs
Faculty development programs for the Department of Artificial Intelligence and Data Science are designed to enhance educators’ skills in emerging technologies and research methodologies. These programs include workshops on advanced AI techniques, data analytics, machine learning, and ethical AI practices. Faculty members engage in hands-on training, collaborative projects, and seminars led by industry experts to stay updated with the latest trends. Additionally, the programs focus on integrating AI and data science into the curriculum, fostering interdisciplinary research, and improving teaching methodologies to equip students with cutting-edge knowledge and skills. These initiatives ensure faculty are well-prepared to lead in a rapidly evolving field.
3.7 Workshops
Faculty workshops in the Department of Artificial Intelligence and Data Science are tailored to enhance educators’ expertise in AI technologies and data-driven methodologies. These workshops offer hands-on experience with machine learning algorithms, deep learning frameworks, and advanced data analytics tools. Faculty members learn to integrate AI and data science into their teaching, develop interdisciplinary research projects, and stay updated on the latest industry trends. Led by experts, the sessions also cover ethical AI practices and data governance. The workshops aim to foster collaboration, improve instructional strategies, and ensure faculty are equipped to prepare students for careers in AI and data science.
3.8 Conferences
Faculty conferences in the Department of Artificial Intelligence and Data Science serve as a platform for educators, researchers, and industry professionals to exchange knowledge and ideas on the latest advancements in AI and data science. These conferences feature keynote speeches, panel discussions, and paper presentations on topics such as machine learning, big data analytics, AI ethics, and innovative teaching methods. Participants engage in networking opportunities, collaborative research discussions, and workshops on integrating AI into academic curricula. The conferences aim to foster interdisciplinary collaboration, promote cutting-edge research, and enhance the educational strategies of faculty members, ensuring they remain at the forefront of AI and data science education.
