T MONIKA SINGH
Stanley college of engineering and technology for women, Stanley college of engineering and technology for wome
About
Mrs. T. Monika Singh holds an M.Tech in Computer Science and Engineering from Osmania University and is currently pursuing a Ph.D. at Annamalai University. Since 2017, she has been a faculty member in the Computer Science and Engineering Department at Stanley College of Engineering and Technology for Women. With a rich background in teaching and research, she is also a certified project-based learning mentor by Wipro and holds a TalentNext certification in Java Full Stack development. Her research interests focus on Machine Learning, and she has published several papers in national and international journals. Additionally, she holds a patent to her name.
Employment
-
Stanley college of engineering and technology for women Assistant Preofessor2017 - Present
Education
-
Stanley college of engineering and technology for women M.Tech2014 - 2016
-
Stanley college of engineering and technology for wome B.E2010 - 2014
Projects & Funding
Projects & funding information is unavailable.
Publications (70)
- Brain Tumor Classification with Hybrid InceptionV3 and Xception Deep Learning Models on MRI Dataset Save
- Auditing, Logging, and Explainable AI for Securing Federated Learning Against Adversarial Attacks Save
- Transforming traditional traffic systems: Applications of artificial intelligence, fuzzy logic, and IoT in next-generation transportation Save
- Traffic flow prediction and optimization Save
- The Convergence of Internet of Things and Machine Learning: A Case Study on Innovations, Challenges, and Applications Save
- Revolutionizing Industries with Smart Solutions: Case Studies on the Transformative Impact of Internet of Things and Machine Learning Save
- Innovative Applications for a Smarter and Sustainable Future: Leveraging the Power of Internet of Things and Machine Learning Save
- Enhancing road safety through artificial intelligence and fuzzy logic-based intelligent systems Save
- Enhancing public transportation efficiency: Integrating fuzzy logic and AI Save
- Autonomous vehicles and intelligent transportation Save