Research Interests
Exploring the future of transportation through innovative research in connected vehicles, intelligent systems, and smart city technologies.
Research Philosophy
My research bridges the gap between theoretical advancement and practical implementation, focusing on creating real-world solutions for modern transportation challenges.
Innovation-Driven
Developing cutting-edge technologies that push the boundaries of what's possible in transportation engineering and connected vehicle systems.
Application-Focused
Ensuring research outcomes have practical applications that can be implemented to solve real-world transportation challenges and improve urban mobility.
Collaborative Approach
Working with industry partners, government agencies, and academic institutions to create comprehensive solutions for transportation systems.
Connected & Automated Vehicles
Developing next-generation connected and automated vehicle technologies that enhance safety, efficiency, and sustainability.
- Vehicle-to-Vehicle (V2V) Communication
- Vehicle-to-Infrastructure (V2I) Systems
- Autonomous Vehicle Decision Making
- Mixed Traffic Environment Modeling
Smart Cities & ITS
Creating intelligent transportation systems that integrate seamlessly with smart city infrastructure to optimize urban mobility.
- Adaptive Traffic Signal Control
- Real-time Traffic Management
- Smart Infrastructure Integration
- Multi-modal Transportation Systems
Traffic Safety & VRU
Developing safety-critical systems and technologies to protect vulnerable road users and reduce traffic accidents.
- Pedestrian & Cyclist Safety Systems
- Collision Avoidance Technologies
- Emergency Response Optimization
- Accident Prediction & Prevention
AI & Machine Learning
Applying artificial intelligence and machine learning techniques to solve complex transportation problems.
- Traffic Flow Prediction
- Dynamic Route Optimization
- Behavioral Pattern Analysis
- Intelligent Decision Support Systems
1. Problem Identification & Literature Review
Identifying critical transportation challenges through stakeholder engagement and comprehensive literature analysis.
2. Theoretical Framework Development
Developing mathematical models and theoretical frameworks that capture transportation phenomena.
3. Simulation & Modeling
Creating comprehensive simulation environments to test and validate theoretical concepts.
4. Real-World Validation
Validating simulation results through field studies, data collection, and pilot implementations.
5. Implementation & Technology Transfer
Translating research outcomes into practical applications through industry partnerships.
Simulation Software
- SUMO: Open-source traffic simulation for large-scale network modeling
- VISSIM: Microscopic traffic simulation for detailed vehicle behavior
- MATLAB/Simulink: Mathematical computing for algorithm development
- Custom Frameworks: Proprietary simulation frameworks for specific applications
Programming & Analytics
- Python: Primary language for data analysis and ML
- R: Statistical computing for advanced data analysis
- TensorFlow/PyTorch: Deep learning frameworks for AI applications
- Apache Spark: Big data processing for large-scale analysis
Data & Infrastructure
- GIS Systems: Geographic information systems for spatial analysis
- IoT Sensors: Real-time traffic data collection and monitoring
- Cloud Computing: Scalable computing for large-scale simulations
- Edge Computing: Distributed computing for real-time processing
AI-Powered Traffic Signal Optimization
Developing machine learning algorithms that adapt traffic signal timing in real-time based on connected vehicle data and traffic patterns.
V2X Communication in Adverse Weather
Investigating how connected vehicle communication systems perform under various weather conditions and developing adaptive protocols.
Autonomous Vehicle Integration in Mixed Traffic
Studying the integration of autonomous vehicles in mixed traffic environments typical of Indian road conditions.
Workshop Organization
"Advancing CAV Technologies for Indian Ecosystems" (2024)
Peer Review
Active peer reviewer for leading transportation research journals
Academic Committees
Member of various academic committees at IIT Bombay