S
Subhadipto Poddar Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
6 h-index
21 pubs
222 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Subhadipto Poddar's research focuses on the application of data-driven methods and advanced computational techniques to improve transportation systems and infrastructure management. His work includes developing deep learning models for object detection in unmanned aerial systems (UASs) for construction stormwater practice inspections and utilizing video analytics to enhance traffic intersection safety and performance. Poddar has investigated data-driven approaches for congestion identification and classification, and examined the impact of COVID-19 on traffic signal systems and pedestrian activity.
His publications also address the development of modern intersection data analytics systems for pedestrian and vehicular safety, and the evaluation of signalized arterial performance using probe-based data. Additionally, he has explored real-time barge detection using traffic cameras and deep learning for inland waterways. Poddar's research network includes collaborators such as Sarah Hernandez and Maria Falquez from the University of Arkansas at Fayetteville.
Metrics
- h-index: 6
- Publications: 21
- Citations: 222
Selected Publications
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Real-Time Barge Detection Using Traffic Cameras and Deep Learning on Inland Waterways (2024)
Collaboration Network
Top Collaborators
Anuj Sharma
Iowa State University (US)
4 shared publications
- Deep Learning-Based Object Detection for Unmanned Aerial Systems (UASs)-Based Inspections of Construction Stormwater Practices
- A Data-Driven Method for Congestion Identification and Classification
- Impact of COVID-19 on Traffic Signal Systems: Survey of Agency Interventions and Observed Changes in Pedestrian Activity
- Massively parallelizable approach for evaluating signalized arterial performance using probe-based data
Emmanuel Posadas
4 shared publications
- Using Video Analytics to Improve Traffic Intersection Safety and Performance
- A Modern Intersection Data Analytics System for Pedestrian and Vehicular Safety
- Video-based Pedestrian and Vehicle Traffic Analysis During Football Games
- Video-Based Pedestrian and Vehicle Traffic Analysis During Football Games
Anand Rangarajan
4 shared publications
- Using Video Analytics to Improve Traffic Intersection Safety and Performance
- A Modern Intersection Data Analytics System for Pedestrian and Vehicular Safety
- Video-based Pedestrian and Vehicle Traffic Analysis During Football Games
- Video-Based Pedestrian and Vehicle Traffic Analysis During Football Games
Sanjay Ranka
4 shared publications
- Using Video Analytics to Improve Traffic Intersection Safety and Performance
- A Modern Intersection Data Analytics System for Pedestrian and Vehicular Safety
- Video-based Pedestrian and Vehicle Traffic Analysis During Football Games
- Video-Based Pedestrian and Vehicle Traffic Analysis During Football Games
Tania Banerjee
3 shared publications
- A Modern Intersection Data Analytics System for Pedestrian and Vehicular Safety
- Video-based Pedestrian and Vehicle Traffic Analysis During Football Games
- Video-Based Pedestrian and Vehicle Traffic Analysis During Football Games
Robert C. Schenck
3 shared publications
- A Modern Intersection Data Analytics System for Pedestrian and Vehicular Safety
- Video-based Pedestrian and Vehicle Traffic Analysis During Football Games
- Video-Based Pedestrian and Vehicle Traffic Analysis During Football Games
Ahan Mishra
3 shared publications
- Using Video Analytics to Improve Traffic Intersection Safety and Performance
- Video-based Pedestrian and Vehicle Traffic Analysis During Football Games
- Video-Based Pedestrian and Vehicle Traffic Analysis During Football Games
Atousa Zarindast
2 shared publications
- A Data-Driven Method for Congestion Identification and Classification
- Evaluating ASCT Operations for Dodge Street Corridor
Ke Chen
University of Florida (US)
2 shared publications
- Using Video Analytics to Improve Traffic Intersection Safety and Performance
- A Modern Intersection Data Analytics System for Pedestrian and Vehicular Safety
Sarah Hernandez
2 shared publications
In database
- Real-Time Barge Detection Using Traffic Cameras and Deep Learning on Inland Waterways
- Predicting Barge Presence and Quantity on Inland Waterways using Vessel Tracking Data: A Machine Learning Approach
Maria Falquez
2 shared publications
In database
- Real-Time Barge Detection Using Traffic Cameras and Deep Learning on Inland Waterways
- Predicting Barge Presence and Quantity on Inland Waterways using Vessel Tracking Data: A Machine Learning Approach
J. Fleischer
2 shared publications
- Video-based Pedestrian and Vehicle Traffic Analysis During Football Games
- Video-Based Pedestrian and Vehicle Traffic Analysis During Football Games
Ryan Pallack
2 shared publications
- Video-based Pedestrian and Vehicle Traffic Analysis During Football Games
- Video-Based Pedestrian and Vehicle Traffic Analysis During Football Games
Gustavo Riente de Andrade
2 shared publications
- Video-based Pedestrian and Vehicle Traffic Analysis During Football Games
- Video-Based Pedestrian and Vehicle Traffic Analysis During Football Games
Pranamesh Chakraborty
Iowa State University (US)
1 shared publication
- Massively parallelizable approach for evaluating signalized arterial performance using probe-based data
Similar Researchers
Based on overlapping research topics
Kwadwo Amankwah-Nkyi
University of Arkansas at Fayetteville
Advanced Neural Network Applications
Urban Transport and Accessibility
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Huihui Sun
University of Arkansas at Fayetteville
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Nabintou Anissia Sylla
University of Arkansas at Fayetteville
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Zhong Su
University of Arkansas for Medical Sciences
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Maria Falquez
University of Arkansas at Fayetteville
Urban Transport and Accessibility
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Machine Learning Applications
Kim Hoang Tran
University of Arkansas at Fayetteville
Advanced Neural Network Applications
Robotics and Sensor-Based Localization
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