Peer-reviewed Journal Publications

[J31] T. Hockstad, M. Rahman, S. Jones, and M. Chowdhury. A regulatory gap analysis in transportation cybersecurity and data privacy. Transportation Journal, 2024. DOI: https://doi.org/10.1002/tjo3.12036

[J30] S. Dasgupta, M. Rahman, and S. Jones. Harnessing digital twin technology for adaptive traffic signal
control: Improving signalized intersection performance and user satisfaction. IEEE Internet of Things
Journal, 2024. DOI: https://doi.org/10.1109/jiot.2024.3420439

[J29] M. S. Irfan, S. Dasgupta, and M. Rahman. Towards transportation digital twin systems for traffic
safety and mobility: A review. IEEE Internet of Things Journal, 2024. DOI: 10.1109/JIOT.2024.3395186

[J28] H.W. Deng, M. S. Salek, M. Rahman, M. Chowdhury, M. Shue, and A. W. Apon. Leveraging public cloud
infrastructure for real-time connected vehicle speed advisory at a signalized corridor. International
Journal of Transportation Science and Technology, 2024. DOI: https://doi.org/10.1016/j.ijtst.2024.03.004

[J27] L. Kiesewetter, K. H. Shakib, P. Singh, M. Rahman, B. Khandelwal, S. Kumar, K. Shah, A holistic review of the current state of research on aircraft design concepts and consideration for advanced air mobility applications,Progress in Aerospace Sciences, Volume 142, 2023, 100949, ISSN 0376-0421, https://doi.org/10.1016/j.paerosci.2023.100949.

[J26] M. Islam, M. Chowdhury, M. Rahman, and Z. Khan. Time-to-approach-based model predictive con-
troller for autonomous vehicle safety during unexpected wheelchairs on the path. Cyber-Physical
Systems, pages 1–22, 202

[J25] S. Guo, H. Chen, M. Rahman and X. Qian, “DCA: Delayed Charging Attack on the Electric Shared Mobility System,” IEEE Transactions on Intelligent Transportation Systems, 2023. DOI: 10.1109/TITS.2023.3287792.

[J24] J. Liu, N. Xu, Y. Shi, M. Rahman, T. Barnett, and S. Jones, “Do first responders trust connected and automated vehicles (CAVs)? A national survey,” Transport policy, 140, pp.85-99, 2023. https://doi.org/10.1016/j.tranpol.2023.06.012

[J23] M. S. Salek, M. Chowdhury, M. Rahman, K. Dey, and M. R. Islam. “Theoretical Development and Numerical Validation of an Asymmetric Linear Bilateral Control Model- Case Study for an Automated Truck Platoon,” ACM J. Auton. Transport. Syst, 2023. DOI: https://doi.org/10.1145/3592619

[J22] S. Dasgupta, M. Rahman, M. Islam, and M. Chowdhury, “A Sensor Fusion-Based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles,” IEEE Transactions on Intelligent Transportation Systems, 2022. DOI: 10.1109/TITS.2022.3197817.

[J21] E. K. Adanu, S. Jones, L. Abhay, and M. Rahman, “Examining the who, what, and how of risky driving related crashes in residential areas,” Journal of Urban Mobility, vol. 2, p. 100024, Dec. 2022. DOI: 10.1016/J.URBMOB.2022.100024.

[J20] M. Rahman, M. R. Islam, M. Chowdhury, and T. Khan, “A Physics-Based Longitudinal Driver Model for Automated Vehicles,” IEEE Access, vol. 10, pp. 80883–80899, 2022. DOI: 10.1109/ACCESS.2022.3193997.

[J19] S. Dasgupta, T. Ghosh, and M. Rahman, “A Reinforcement Learning Approach for Global Navigation Satellite System Spoofing Attack Detection in Autonomous Vehicles,” DOI: https://doi.org/10.1177/03611981221095509, Jun. 2022.

[J18] Z. Khan, S. M. Khan, M. Chowdhury, M. Rahman, and M. Islam, “Performance Evaluation of 5G Millimeter-Wave-Based Vehicular Communication for Connected Vehicles,” IEEE Access, 2022, DOI: 10.1109/ACCESS.2022.3158669.

[JP17]Paper Title: A Review on Cybersecurity of Cloud Computing for Supporting Connected Vehicle Applications

List of Authors: Salek, M. S., Khan, S., Rahman, M., Deng, H., Islam, M., Khan, Z., Chowdhury, and Shue, M.

Year of Publication: 2022

Journal Name: IEEE Internet of Things

DOI: 10.1109/JIOT.2022.3152477

Impact Factor: 9.471

[JP16]Paper Title: Grey models for short-term queue length predictions for adaptive traffic signal control

List of Authors: Comert, G., Khan, Z., Rahman, M. and Chowdhury, M.

Year of Publication: 2021

Journal Name: Expert Systems with Applications, Elsevier

DOI: https://doi.org/10.1016/j.eswa.2021.115618

Impact Factor: 6.954

[JP15]Paper Title: Change point models for real-time cyber attack detection in connected vehicle environment.

List of Authors: Comert, G., Rahman, M., Islam, M. and Chowdhury, M.

Year of Publication: 2021

Journal Name: IEEE Transactions on Intelligent Transportation Systems

DOI: 10.1109/TITS.2021.3113675

Impact Factor: 6.492

[JP14]Paper Title: Dynamic error-bounded lossy compression to reduce the bandwidth requirement for real-time vision-based pedestrian safety applications

List of Authors: Rahman, M., Islam, M., Holt, C., Calhoun, J. and Chowdhury, M

Year of Publication: 2021

Journal Name: Journal of Real-Time Image Processing, Springer

DOI: https://doi.org/10.1007/s11554-021-01165-0

Impact Factor: 2.358


[JP13] Paper Title: Commercial Cloud Computing for Connected Vehicle Applications in Transportation Cyberphysical Systems: A Case Study. List of Authors: Deng, H.W., Rahman, M., Chowdhury, M., Salek, M.S. and Shue, M.Year of Publication: 2020Journal Name: IEEE Intelligent Transportation Systems MagazineDOI: 10.1109/MITS.2020.3037314Impact Factor: 3.419

 [JP12]Paper Title: Vision-based Personal Safety Messages (PSMs) Generation for Connected Vehicles

List of Authors: Mhafuzul Islam, Mizanur Rahman, Mashrur Chowdhury, Gurcan Comert, Easha D. Sood and Amy Apon

Year of Publication: 2020

Journal Name: IEEE Transactions on Vehicular Technology

DOI: 10.1109/TVT.2020.2982189

Impact Factor: 5.978

Book Chapters

[BC7] Dasgupta, S., Irfan, M.S., Rahman, M., and M. Chowdhury. Modeling, detection and mitigation of gnss
spoofing attack in ground transportation systems. In Data Analytics for Intelligent Transportation
Systems. Elsevier, 2nd edition edition. In Press
[BC6] Rahman, M., Ahmad, M.U., M. Chowdhury, and J. McClendon. Data analytics for real-time prediction
of traffic flow parameters. In Data Analytics for Intelligent Transportation Systems. Elsevier, 2nd
edition edition. In Press

[BC5] S. Dasgupta, X. Zhu, M. S. Irfan, M. Rahman, J. Gong, and S. Jones, “AI Machine Vision for Safety and Mobility: An Autonomous Vehicle Perspective,” Handbook on Artificial Intelligence in Transport, Edward Elgar Publishing, (In Press).

[BC4] Z. Khan, S. M. Khan, M. Rahman, M. Islam, and M. Chowdhury, “Deep Learning in Transportation Cyber-Physical-Social Systems,” AI in Civil, Transportation & Construction Applications, CRC/Taylor & Francis, 2023.

[BC3] S. Guo, X. Qian, S. Dasgupta, M. Rahman, and S. Jones, “Sensing and monitoring of urban roadway traffic state with large-scale ride-sourcing vehicles.” The Rise of Smart Cities: Advanced Structural Sensing and Monitoring Systems, Elsevier Incorporated.

[BC2] M. Rahman, S. Polunsky, and S. Jones, “Transportation policies for connected and automated mobility in smart cities,” Smart Cities Policies and Financing: Approaches and Solutions, pp. 97–116, Jan. 2022, doi: 10.1016/B978-0-12-819130-9.00008-5.

[BC1] S. M. Khan, M. Rahman, and A. Apon, “Characteristics of Intelligent Transportation Systems and its Relationship with Data Analytics,” Data Analytics for Intelligent Transportation Systems, Elsevier, pp. 1-29, 2017, ISBN: 978-0-12-809715-1.

Peer-reviewed Conference Presentations

[C 30] K. H. Shakib, M. Rahman, L. Kiesewetter, and K. Shah. Examining safety and cybersecurity for urban air mobility operations. In Transportation Research Board Annual Meeting, Washington, D.C., January 7-11 2024

[C 29] M. S. Irfan, M. Rahman, A. Lidbe, J. Liu, Y. Shi, and S. Black. Public perception of autonomous vehicles and different external human machine interface designs: Findings from a national survey. In Transportation Research Board Annual Meeting, Washington, D.C., January 7-11 2024

[C 28] S. Noman, T. Atkison, M. S. Irfan, and M. Rahman. A predictive approach for sybil attack detection for a waiting time-based adaptive traffic signal controller. In Transportation Research Board Annual Meeting, Washington, D.C., January 7-11 2024

[C 27] S. Dasgupta, A. Ahmed, M. Rahman, and T. Bandi. Unveiling the stealthy threat: Analyzing slow drift GPS spoofing attacks for autonomous vehicles in urban environments and enabling the resilience. In Transportation Research Board 103rd Annual Meeting, Washington, D.C., January 7-11 2024

[C 26] S. Dasgupta, K. H. Shakib, and M. Rahman. Experimental validation of sensor fusion-based GNSS spoofing attack detection framework for autonomous vehicles. In Transportation Research Board 103rd Annual Meeting, Washington, D.C., January 7-11 2024

[C 25] E. Rúa, K. H. Shakib, S. Dasgupta, M. Rahman, and S. Jones. Digital twin technology enabled proactive safety application for vulnerable road users: A real-world case study. In Transportation Research Board 103rd Annual Meeting, Washington, D.C., January 7-11 2024

[C 24] S. Dasgupta, M. Rahman, and S. Jones. Harnessing digital twin technology for adaptive traffic signal control: Improving signalized intersection performance and user satisfaction. In Transportation Research Board 103rd Annual Meeting, Washington, D.C., January 7-11 2024

[C 23] J. Liu, N. Xu, Y. Shi, M. Rahman, T. Barnett, and S. Jones. Do first responders trust connected and automated vehicles (CAVS)? a national survey. In Proceedings of the 102nd Annual Meeting of the Transportation Research Board, Washington, D.C., January 2023

[C 22] Ahmed Bakr, Mahmoud Srewa, Eyuphan Bulut, Kemal Akkaya, M. Rahman, and Ahmad Alsharif. Privacy- preserving v2v charge sharing coordination using the hungarian algorithm. In 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), 2023

[C 21] S. Dasgupta, K. H. Shakib, M. Rahman, S. Croope, and S. Jones. Audio analytics-based human trafficking detection framework for autonomous vehicles. In Proceedings of the 102nd Annual Meeting of the Transportation Research Board, Washington, D.C., January 2023

[C 20] M. S. Irfan, M. Rahman, T. Atkinson, S. Dasgupta, and A. Hainen. Reinforcement learning based cyber-attack model for adaptive traffic signal controller in connected transportation systems. In Proceedings of the 102nd Annual Meeting of the Transportation Research Board, Washington, D.C., January 2023

[C 19] S. Dasgupta, T. Ghosh, and M. Rahman. A reinforcement learning approach for gnss spoofing attack detection of autonomous vehicles. In Proceedings of the 101st Annual Meeting of the Transportation Research Board, Washington, D.C., January 2022

[C 18] Weimin Jin, Mashrur Chowdhury, M. Islam, and M. Rahman. Risk-based freeway lane-changing decision-making framework for autonomous vehicles in mixed traffic streams. In Proceedings of the 101st Annual Meeting of the Transportation Research Board, Washington, D.C., January 2022

[C 17] Shuocheng Guo, Xinwu Qian, M. Rahman, and S. Jones. Sensing urban road network with large-scale. In Proceedings of the 101st Annual Meeting of the Transportation Research Board, Washington, D.C., January 2022

[C 16] S. Dasgupta, M. Rahman, M. Islam, and M. Chowdhury. Prediction-based gnss spoofing attack detection for autonomous vehicles. In Proceedings of the 100th Annual Meeting of the Transportation Research Board, Washington, D.C., January 2021

[C 15] Gurcan Comert, Zadid Khan, M. Rahman, and M. Chowdhury. Grey systems-based traffic queue length prediction models for adaptive traffic signal control systems. In Proceedings of the 99th Annual Meeting of the Transportation Research Board, Washington, D.C., January 2020

[C 14] M. Islam, M. Rahman, Sakib Mahmud Khan, M. Chowdhury, and Lipika Deka. Development and perfor- mance evaluation of a connected vehicle application development platform (cvdep). In Proceedings of the 99th Annual Meeting of the Transportation Research Board, Washington, D.C., January 2020

[C 13] M. Rahman, M. Islam, J. Calhoun, and M. Chowdhury. Real-time pedestrian detection approach with an efficient data communication bandwidth strategy. In Proceedings of the 98th Annual Meeting of the Transportation Research Board, Washington, D.C., January 2019

[C 12] Gurcan Comert, M. Rahman, M. Islam, and M. Chowdhury. Change-point models for real-time v2i cyber attack detection in a connected vehicle environment. In Proceedings of the 97th Annual Meeting of the Transportation Research Board, Washington, D.C., January 2019

[C 11] M. Rahman, M. Chowdhury, A. Rayamajhi, K. Dey, and J. Martin. Adaptive queue prediction algorithm using an edge-centric cyber-physical system platform in a connected vehicle environment. In Proceedings of the 97th Annual Meeting of the Transportation Research Board, Washington, D.C., January 2018

[C 10] M. Chowdhury, M. Rahman, A. Rayamajhi, S. M. Khan, M. Islam, Z. Khan, and J. Martin. Lessons learned from the real-world deployment of a connected vehicle testbed. In Proceedings of the 97th Annual Meeting of the Transportation Research Board, Washington, D.C., January 2018

[C 9] M. Islam, F. Li, M. Rahman, S. Islam, M. Chowdhury, and Y. Wang. Human-centered time headway controller for cooperative adaptive cruise control (cacc). In Proceedings of the 97th Annual Meeting of the Transportation Research Board, Washington, D.C., January 2018

[C 8] M. Rahman, Y. An, M. Chowdhury, K. Dey, Y. Du, and L. Ngo. Framework for design and evaluation of a distributed data exchange infrastructure for dynamic transit operation. In Proceedings of the 96th Transportation Research Board Annual Meeting Compendium of Papers, Washington, D.C., January 2017

[C 7] M. Rahman, M. Chowdhury, K. Dey, M. R. Islam, and T. Khan. An evaluation strategy for driver car-following behavior models for cacc controllers. In Proceedings of the 96th Transportation Research Board Annual Meeting Compendium of Papers, Washington, D.C., January 2017

[C 6] A. Rayamajhi, M. Rahman, M. Kaur, J. Liu, M. Chowdhury, H. Hu, J. McClendon, K.-C. Wang, A. Gosain, and J. Martin. Things in a fog (tgif): System illustration with connected vehicles. In Vehicular Technology Conference (VTC), Spring, 2017

[C 5] M. Rahman, J. Doran, S. Islam, M. Keehan, S. M. Khan, and Y. Du. In-motion wireless power transfer for connected electric vehicles. In 2016 Fuels Institute Case Competition: Future of Transportation. Fuel Institute Annual Meeting, May 2016

[C 4] M. Rahman, Y. Du, L. Ngo, K. Dey, M. Chowdhury, and A. Apon. An innovative way to manage data for connected vehicle applications. In Proceedings of the 95th Transportation Research Board Annual Meeting Compendium of Papers, Washington, D.C., January 2016

[C 3] M. Rahman, S. M. Khan, M. Chowdhury, N. Huynh, J. Ogle, K. Dey, and P. Bhavsar. Incident command system strategies for incident management on freeways: A simulation analysis. In Proceedings of the 94th Transportation Research Board Annual Meeting Compendium of Papers, Washington, D.C., January 2015

[C 2] M. Rahman, M. Chowdhury, and T. Khan. A parameter estimation and calibration method for car- following models. In Proceedings of the 93rd Transportation Research Board Annual Meeting Compendium of Papers, Washington, D.C., January 2014

[C 1] S. M. Khan, K. Dey, M. Rahman, K. Lantz, and M. Chowdhury. Potentials for intelligent transportation systems deployment in developing countries- a case study. In Proceedings of the 21st ITS World Congress, Detroit, Michigan, 2014

Invited Talk

​[IT 7] M. Rahman. Multi sensor fusion for proactive commercial motor vehicle safety at work zone. In 2024 Southeast Commercial Vehicle Safety Research Summit, Tuscaloosa, AL, USA, August 28-29 2024.

[IT 6] M. Rahman. Cyber resilient GNSS-based navigation for autonomous ground vehicles under threat uncertainties and contested urban environments. In TraCR Scholar Webinar Series, Online, August 2nd 2024. 

[IT 5] M. Rahman, S. Dasgupta, and M. S. Irfan. Cybersecure GNSS-based navigation for autonomous ground vehicles. In 2024 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2024, Knoxville, TN, USA, July 1-3 2024. 

[IT 4] M. Rahman. Transportation in the public vs. private vs. academia sectors. In 2023 Student Leadership Summit, Mississippi State University (MSU), Starkville, MS, March 4 2023. Invited Talk

[IT 3] M. Rahman. A physics-based longitudinal control model for automated vehicles in a mixed traffic environment. In Center for Connected Multimodal Mobility (C2M2) Cyber-Physical Systems (CPS) Frontiers Series, May 28 2022. 

[IT 2] M. Rahman. A sensor fusion-based gnss spoofing attack detection framework for autonomous vehicles. In 2022 Gulf Region Intelligent Transportation Systems (GRITS) Fall Workshop, Starkville, MS, USA, September 2022

[IT 1] M. Rahman and S. Dasgupta. Gnss/gps vulnerabilities – an autonomous vehicle perspective. In Guest Lecture. Presentation to the Clemson University Graduate Students, Clemson, SC, USA, October 21, 2021. 

Technical Presentations

[TP29] K. H. Hasan, M. Rahman, M. Islam, and M. Chowdhury. Impersonation attack modeling for blockchain-
based vehicular ad-hoc network using quantum shor’s algorithm. In TraCR Annual Conference 2024,
Greenville, SC, USA, May 6-7 2024

[TP28] S. Dasgupta, A. Ahmed, S. M. Irfan, M. Rahman, and T. Bandi. Unveiling the stealthy threat: Analyzing
slow drift gps spoofing attacks for autonomous vehicles in urban environments and enabling the
resilience. In TraCR Annual Conference 2024, Greenville, SC, USA, May 6-7 2024

[TP27] S. Dasgupta, K. H. Shakib, S. M. Irfan, and M. Rahman. Experimental validation of sensor fusion-
based gnss spoofing attack detection framework for autonomous vehicles. In TraCR Annual Confer-
ence 2024, Greenville, SC, USA, May 6-7 2024

[TP26] K. H. Hasan, F. Walden, S. Dasgupta, and M. Rahman. Improving the environmental perception of
autonomous vehicles using deep learning based audio classification. In IEEE International Automated
Vehicle Validation Conference 2023, Austin, Texas, USA, October 16-18 2023

[TP25] M. Rahman, M. Chowdhury, and J. McClendon. Real-time traffic flow parameters prediction through
internet of vehicles. In IEEE International Automated Vehicle Validation Conference 2023, Austin,
Texas, USA, October 16-18 2023

[TP24] S. Dasgupta, C. Hollis, M. Rahman, T. Atkison, and S. Jones. An innovative attack modelling and attack
detection approach for a waiting time-based adaptive traffic signal controller. In ASCE International
Conference on Transportation & Development, Seattle, WA, USA, May 31 – June 3 2022

[TP23] M. Rahman and S. Dasgupta. Ai-based gnss spoofing attack detection for autonomous vehicle using
satellite characteristics data. In International Technical Meeting of the Institute of Navigation (ION
ITM 2023), Long Beach, CA, USA, January 23 2023

​[TP22] M. S. Irfan, M. Rahman, A. Lidbe, and J. Liu. Exploring the perceptions of students at educational
institution towards different external human machine interface designs of autonomous vehicles. In
ASCE International Conference on Transportation & Development, Austin, Texas, USA, June 14-17
2023

[TP21] M. Rahman. Cyber resilient localization and navigation for autonomous vehicles. In 2022 Secure
and Trustworthy CyberSpace Principal Investigators’ Meeting (2022 SaTC PI Meeting), Arlington, VA,
USA, June 1-2 2022​

[TP20] F. Walden, S. Dasgupta, M. Rahman, and M. Islam. Improving the environmental perception of au-
tonomous vehicles using deep learning based audio classification. In ASCE International Conference
on Transportation & Development, Austin, Texas, USA, June 14-17 2023

[TP19] S. Dasgupta, M. Rahman, M. Islam, R. Chowdhury, and S. Jones. A sensor fusion-based gnss spoofing
attack detection framework for autonomous vehicles. In ASCE International Conference on Trans-
portation & Development, Seattle, WA, USA, May 31 – June 3 2022

[TP18] S. Dasgupta, M. Rahman, W. Lu, A. Lidbe, and S. Jones. A transportation digital-twin approach for
adaptive traffic control systems. In ASCE International Conference on Transportation & Development,
Seattle, WA, USA, May 31 – June 3 2022

[TP17] “Past, Present and Future Connected and Autonomous Vehicle Research,” Alabama Transportation Institute Town Hall Meeting (Virtual), 2021.

[TP16] “Transportation Cyber-Physical Systems (TCPS) for Connected and Automated Vehicles,” Alabama Transportation Institute Town Hall Meeting (Virtual), November 2020.

[TP15] “Prediction-Based GNSS Spoofing Attack Detection for Autonomous Vehicles,” Transportation Research Board 100th Annual Meeting, 2021.

[TP14] “Car Following and Lane Changing Models for Autonomous Vehicles,” IEEE Intelligent Transportation Systems Society – Clemson Student Chapter Meeting, Virtual Meeting, 2021.

[TP13] “A Deep Reinforcement Learning based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles,” ASCE T&DI Technical Committee on Artificial Intelligence workshop on “Artificial intelligence enabled next generation transportation systems”, November 18, 2021.

[TP12] “A Reinforcement Learning Approach for GNSS Spoofing Attack Detection of Autonomous Vehicles,” Transportation Research Board 101st Annual Meeting, 2022.

[TP11] “Development of Connected Vehicle Applications through an Edge-Centric Cyber-Physical System (CPS) Platform,” 5th Annual UTC Conference for the Southeastern Region, Gainesville, Florida, 2017.

[TP10] “US Ignite: Enabling Connected Vehicle Applications through Advanced Network Technology,” US Ignite Application Summit, Austin, Texas, 2017.

[TP9] “US Ignite: Enabling Connected Vehicle Applications through Advanced Network Technology,” US Ignite Application Summit, Austin, Texas, 2016.

[TP8] “Design and Evaluation of Distributed Data Delivery System in a Connected Vehicle Environment,” to Researchers at IT Innovation lab, BMW Group, December 2, 2015.

[TP7] “Characteristics of Big Data in a Connected Transportation Environment,” to Researchers of BMW Group at Clemson University, April 27, 2015.

[TP6] “A Dynamic Routing Strategy in a Cooperative Vehicle Environment” 21st ITS World Congress, Detroit, Michigan, 2014.

[TP5] “A New Generation Car-Following Model for Today’s Traffic and Drivers,” In 2014 Transportation and Development Institute (T&DI) Congress-ASCE, Florida, June 2014.

[TP4] “Analysis of Car-Following Models,” In 2014 Transportation and Development Institute (T&DI) Congress-ASCE, Florida, June 2014.

[TP3] “Application of a parameter Estimation and Calibration Method for Car-Following Models,” Presented at 4th Annual Transportation Summit: Partnerships, Innovation & Safety, Benedict College, Columbia, SC, March 22, 2013.

[TP2] “Application of a parameter Estimation and Calibration Method for Car-Following Models,” Presented at South Carolina Section ITE –Spring Meeting, Columbia, SC, March 13, 2013.

[TP1] “Application of a parameter Estimation and Calibration Method for Car-Following Models”. Presented at 92nd Annual Meeting of the Transportation Research Board, Eisenhower TRB Research Showcase, Washington, D.C., 2013.