Hello,
I'm Kondapally Madhavi, a PhD scholar in Computer Science and Engineering at IIT Hyderabad, under the guidance of Dr. C. Krishna Mohan. My research centers on Autonomous Vehicle Technology.
I completed my Master's degree in Computer Science and Engineering at JNTU Hyderabad and B.Tech at Kakatiya University, Warangal. I am a passionate researcher in the fields of artificial intelligence (AI) and machine learning (ML), with a strong emphasis on computer vision. I actively contribute to open-source projects and enjoy collaborating with the research community.
I have made notable contributions to my field through publications in respected venues such as the IEEE Transactions on Intelligent Transportation Systems, the International Joint Conference on Neural Networks (IJCNN) and the International Conference on Pattern Recognition (ICPR) Workshops. I have also developed a transitional weather dataset for autonomous driving, filed two patents, and served as an external reviewer for renowned platforms like IJCNN and journals including Neurocomputing.
Education
PhD in Computer Science and Engineering
Indian Institute of Technology Hyderabad
Research Focus: Autonomous Vehicle Technology, Computer Vision in Transitional Weather Conditions with CGPA of 9.25 .
Master of Technology in Computer Science and Engineering
Jawaharlal Nehru Technological University, Hyderabad
Focused on the application of location-based services and developed a project titled “Locating Friends and Family Using GPS” as part of her thesis work, with a final percentage of 73% .
Bachelor of Technology in Computer Science and Engineering
Kakatiya University, Warangal
Completed Bachelor of Technology (B.Tech) in Information Technology from Kakatiya University, Warangal with a final percentage of 73% .
Experience
Senior Research Fellow
TiHAN, IIT Hyderabad
VLMs rely on heavy architectures unsuitable for real-time deployment. This project proposes a lightweight, efficient VLM that meets ADAS timing and resource constraints. Additionally, single-frame analysis in current systems lacks the temporal context needed for dynamic scenarios.
Assistant Professor
B.V Raju Institute of Technology, Narsapur, Department of IT
Worked as an Assistant Professor in the Department of Information Technology from February 18, 2015, to August 15, 2021, teaching various subjects, including Data Structures, Java, Big Data, and Machine Learning. Attended various certification courses in Machine Learning, Deep Learning, Python Programming, and Java.
Assistant Professor
MLR Institute of Technology and Management, Hyderabad
Worked as an Assistant Professor in the Department of Information Technology from February 18, 2015, to August 15, 2021, teaching various subjects, including Data Structures, Java, Big Data, and Machine Learning. Attended various certification courses in Machine Learning, Deep Learning, Python Programming, and Java.
Research Interests
Enhancing Autonomous Vehicle Technology in Transitional Weather Conditions
Developing robust perception systems for autonomous vehicles operating in challenging weather conditions.
Causal Interventional Training for Autonomous Vehicle Technology
Exploring causal reasoning approaches to improve vehicle perception in variable weather.
Developing Vision Language Models for Advanced Driver Assistance Systems
Building robust systems for scene understanding and decision making in autonomous driving.
Applying Vision LLMs for Medical AI Applications
Exploring multimodal models combining text and visual data for medical diagnostics.
Publications
Towards a Transitional Weather Scene Recognition Approach for Autonomous Vehicles
Kondapally Madhavi, K. N. Kumar, C. Vishnu and C. K. Mohan
Published in IEEE Transactions on Intelligent Transportation Systems, 2024.
Object Detection in Transitional Weather Conditions for Autonomous Vehicles
Kondapally Madhavi, K. N. Kumar and C. Krishna Mohan
Published in 2024 International Joint Conference on Neural Networks (IJCNN), 2024.
Sentimental Analysis on Twitter Data Using Hadoop with Spring Web MVC
RaviKiran Ramaraju, Kondapally Madhavi, G. Ravi
Published in Advances in Intelligent Systems and Computing (Springer Nature), 2020.
TransWardX: An Explainable Black-Box Object Detection Attack for Autonomous Driving in Transitional Weather Conditions
Kondapally Madhavi, Kumar. K.N, Mohan. C.K
Published in ICPR Workshops, 2024.
Weather Scene Perception for Autonomous Vehicles
Kondapally Madhavi, Mohan CK
Published in IEICE Proceedings Series 81 (S3-4), 2024.
System and Method for Performing Adaptive Object Detection In An Autonomous Vehicle System
Kondapally Madhavi, K Naveen Kumar, C Krishna Mohan, and Sobhan Babu
Indian Patent Office, Official journal No. 16219-274, Application no. 202541001505, Jan, 07, 2025 (filed).
System and Method for Generating Weather Transition Data for Autonomous Vehicle Training
Kondapally Madhavi, K Naveen Kumar, C Krishna Mohan, and Sobhan Babu
Indian Patent Office, Official journal No. 16219-273, Application no. 202541000718, Jan, 03, 2025 (filed).
Projects
Design and Development of Road Element Segmentation and Language Guided Vision Models
Senior Research Assistant for the Project grant from TiHAN IIT Hyderabad with the budget of ₹12,00,000. This project focuses on safe autonomous driving in adverse weather conditions.
Design and Development of AI-based real-time lightweight system for medical drone delivery
Principal Investigator for this ongoing research project focused on developing intelligent systems for medical supply delivery using drone technology.
Additional Information
Teaching Assistant at IIT Hyderabad
(PhD supervisor)
∗ CS6450 - Visual Computing
∗ CS6140 - Video Content Analysis
∗ CS6170 - Computer Vision for Autonomous Vehicle Technology
∗ CS6870 - Surveillance Video Analytics
External Reviewer
∗ IEEE International Joint Conference on Neural Networks (2024)
∗ IEEE Intelligent Transportation Systems Conference (2024)
∗ Elsevier Neurocomputing (2023)