As an accomplished assistant professor and experienced ETL developer, Jyothsna has a unique blend of academic and technical expertise. Having 17.5 years of experience she is skilled in designing and delivering interactive and stimulating lectures, developing course materials, and assessing student progress. In this role as an assistant professor, she has developed and delivered challenging and engaging courses in various subjects, mentored, and advised students, and conducted research that has contributed to the field. With 1.5 years of experience as an ETL developer, she has gained expertise in designing, developing, and implementing ETL solutions, using technologies such as SQL, Python, and ETL tools and gained experience in data modelling, performance tuning, and troubleshooting. Throughout the career, she has demonstrated the ability to effectively manage projects, work collaboratively with cross-functional teams, and communicate complex technical concepts to non-technical stakeholders. As a passionate and motivated educator and developer, she is committed to use the skills and experience to drive innovation and excellence in both academic and professional settings.
Professional Education
| PhD (Machine Learning) | Pursuing |
| Master of Computer Application (MCA) | 2004 |
| Bachelor of Science (B.Sc) | 2000 |
Teaching Courses
- Python
Taught Courses
- Python
- Machine Learning
- DBMS
- OS
- Computer Networks
- Introduction to Data Science
- Data Structures
- Java
- Unix operating system
- Web technologies
Research Interests
- Machine Learning
- Deep Learning
- Multimodal Learning
Selected Publications
- AN, Jyothsna., Vinitha Eric, P., & Smitha Rao, M. (2025). The Sound and Sight of Confidence: An Audiovisual ML Approach. International Journal of Computing, 24(3), 545-551. Retrieved from https://www.computingonline.net/computing/article/view/4191 (Sep 30 , 2025)
- The research paper titled "Decoding confidence through machine learning on video features" was accepted in Aug 2024 and is currently in press in a Scopus-indexed Springer journal.
- Jyothsna A. N, Archana.M. Article: A Survey on various Cryptosystems.Online International Interdisciplinary Research Journal (OIIRJ), OIIRJ Volume-09, Issue 04, May-2019 Edition (ISSN 2249-9598). IMPACT FACTOR-5.818.
- Dr. Smitha Rao, Jyothsna A. N, Article: BDI Approach to Build an Agent Based System, International Journal of Scientific Engineering Research (IJSER). IJSER Volume 6, Issue1, January 2015 Edition (ISSN 2229-5518). IMPACT FACTOR-3.2.
- Dr. Smitha Rao, Jyothsna A.N, Article: BDI: Applications and Architectures. International Journal of Engineering Research & Technology (IJERT) Vol. 2 Issue 2, February- 2013, ISSN: 2278-0181. IMPACT FACTOR-1.76
- Smitha Rao, Ms. Jyothsna A.N and Pinaka Pani.R. Article: Digital Watermarking: Applications, Techniques and Attacks. International Journal of Computer Applications 44(7):29-34, April 2012.IMPACT FACTOR-0.821.
Conference Presented
- MICA 2024 – International Conference on Advanced Communications and Machine Intelligence Presented the paper titled “Decoding Confidence Through Machine Learning on Video Features” held on October 17–18, 2024
Conference Organised
- SAMVIDH – 2019 | National Conference Organized at Seshadripuram First Grade College, Bengaluru (NAAC ‘A’ Grade), affiliated with Bengaluru Central University October 14, 2019· DOI: 10.1729 on /Journal.22566
As an accomplished assistant professor and experienced ETL developer, Jyothsna has a unique blend of academic and technical expertise. Having 17.5 years of experience she is skilled in designing and delivering interactive and stimulating lectures, developing course materials, and assessing student progress. In this role as an assistant professor, she has developed and delivered challenging and engaging courses in various subjects, mentored, and advised students, and conducted research that has contributed to the field. With 1.5 years of experience as an ETL developer, she has gained expertise in designing, developing, and implementing ETL solutions, using technologies such as SQL, Python, and ETL tools and gained experience in data modelling, performance tuning, and troubleshooting. Throughout the career, she has demonstrated the ability to effectively manage projects, work collaboratively with cross-functional teams, and communicate complex technical concepts to non-technical stakeholders. As a passionate and motivated educator and developer, she is committed to use the skills and experience to drive innovation and excellence in both academic and professional settings.
| PhD (Machine Learning) | Pursuing |
| Master of Computer Application (MCA) | 2004 |
| Bachelor of Science (B.Sc) | 2000 |
- Python
- Python
- Machine Learning
- DBMS
- OS
- Computer Networks
- Introduction to Data Science
- Data Structures
- Java
- Unix operating system
- Web technologies
- Machine Learning
- Deep Learning
- Multimodal Learning
- AN, Jyothsna., Vinitha Eric, P., & Smitha Rao, M. (2025). The Sound and Sight of Confidence: An Audiovisual ML Approach. International Journal of Computing, 24(3), 545-551. Retrieved from Know More
- The research paper titled "Decoding confidence through machine learning on video features" was accepted in Aug 2024 and is currently in press in a Scopus-indexed Springer journal.
- Jyothsna A. N, Archana.M. Article: A Survey on various Cryptosystems.Online International Interdisciplinary Research Journal (OIIRJ), OIIRJ Volume-09, Issue 04, May-2019 Edition (ISSN 2249-9598). IMPACT FACTOR-5.818.
- Dr. Smitha Rao, Jyothsna A. N, Article: BDI Approach to Build an Agent Based System, International Journal of Scientific Engineering Research (IJSER). IJSER Volume 6, Issue1, January 2015 Edition (ISSN 2229-5518). IMPACT FACTOR-3.2.
- Dr. Smitha Rao, Jyothsna A.N, Article: BDI: Applications and Architectures. International Journal of Engineering Research & Technology (IJERT) Vol. 2 Issue 2, February- 2013, ISSN: 2278-0181. IMPACT FACTOR-1.76
- Smitha Rao, Ms. Jyothsna A.N and Pinaka Pani.R. Article: Digital Watermarking: Applications, Techniques and Attacks. International Journal of Computer Applications 44(7):29-34, April 2012.IMPACT FACTOR-0.821.
- MICA 2024 – International Conference on Advanced Communications and Machine Intelligence Presented the paper titled “Decoding Confidence Through Machine Learning on Video Features” held on October 17–18, 2024
- SAMVIDH – 2019 | National Conference Organized at Seshadripuram First Grade College, Bengaluru (NAAC ‘A’ Grade), affiliated with Bengaluru Central University October 14, 2019· DOI: 10.1729 on /Journal.22566





