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Gurcan Comert

Associate Professor, Computational Data Science and Engineering

Gurcan Comert
Google Scholar

College
College of Engineering

Department
Computational Science & Engineering

Contact

Bio

Received the B.Sc. and M.Sc. degrees in industrial engineering from Istanbul (Fatih) University, Istanbul, Turkey, in 2003 and 2005, respectively, and the Ph.D. degree in civil engineering from the University of South Carolina, Columbia, SC, USA, in 2008. Has been a faculty member at Benedict College, Columbia, SC. Is a researcher with the Information Trust Institute, University of Illinois Urbana-Champaign. Served as Associate Director of the USDOT Center for Connected Multimodal Mobility (C2M2) and the National Center for Transportation Cybersecurity and Resiliency (TraCR) led by Clemson University.

Research Interests

Applications of emerging computational models to different engineering systems problems: transportation, critical infrastructures, communications, cybersecurity, system state estimation, edge computing, connected and autonomous vehicles, queueing, air quality, extreme weather, quantum AI, data management, human factors, simulation, quality control.

External URL

https://iti.illinois.edu/people/profile/gcomert

Recent Publications

  • Sefatun-Noor Puspa, Abyad Enan, Reek Majumdar, M Salek, Gurcan Comert, Mashrur Chowdhury (2024). (An AI-Enabled Side Channel Power Analysis Based Hardware Trojan Detection Method for Securing the Integrated Circuits in Cyber-Physical Systems). arXiv preprint arXiv:2411.12721.
  • Hannah Musau, Judith Mwakalonge, Gurcan Comert, Saidi Siuhi (2024). (A national survey on the effect of the COVID-19 pandemic on school travel in the US.--Parents perspective). 24, pp. 101061. Transportation research interdisciplinary perspectives.
  • Cuthbert Ruseruka, Judith Mwakalonge, Gurcan Comert, Saidi Siuhi, Debbie Indah, Sarah Kasomi, Tumlumbe Chengula (2024). (An Investigation of factors Influencing electric vehicles charging Needs: Machine learning approach). 27, pp. 101211. Transportation Research Interdisciplinary Perspectives.
  • Jennifer Ogle, Vijay Bendigeri, Fengjiao Zou, Ahmad Ghafari, Gurcan Comert, others (2024). (Assessment of Contextual Complexity and Risk Using Unsupervised Clustering Approaches with Dynamic Traffic Condition Data Obtained from Autonomous Vehicles). Center for Connected Multimodal Mobility, Clemson University.
  • Cuthbert Ruseruka, Judith Mwakalonge, Gurcan Comert, Saidi Siuhi, Frank Ngeni, Quincy Anderson (2024). (Augmenting roadway safety with machine learning and deep learning: Pothole detection and dimension estimation using in-vehicle technologies). 16, pp. 100547. Machine Learning with Applications.
  • Sakib Khan, M Salek, Vareva Harris, Gurcan Comert, Eric Morris, Mashrur Chowdhury (2024). (Autonomous Vehicles for All?). (1) 1, pp. 1--8. Journal on Autonomous Transportation Systems.
  • Abyad Enan, Abdullah Mamun, Jean Tine, Judith Mwakalonge, Debbie Indah, Gurcan Comert, Mashrur Chowdhury (2024). (Basic Safety Message Generation through a Video-based Analytics for Potential Safety Applications). (4) 1, pp. 1--26. Journal on Autonomous Transportation Systems.
  • Jing Wang, Gurcan Comert, Negash Begashaw, Nathan Huynh, Amara Kouyate, Robert Mullen, Sarah Gassman, Charles Pierce (2024). (Comparative Analysis of Three Modeling Approaches for Predicting Pavement Conditions). pp. 03611981241234924. Transportation Research Record.
  • Jing Wang, Ryan DeVine, Nathan Huynh, Weimin Jin, Gurcan Comert, Mashrur Chowdhury (2024). (Comparison of models with and without roadway features to estimate annual average daily traffic at non-coverage locations). 15, pp. 244--259. International Journal of Transportation Science and Technology.
  • Abdullah Mamun, Abyad Enan, Debbie Indah, Judith Mwakalonge, Gurcan Comert, Mashrur Chowdhury (2024). (Crash Severity Risk Modeling Strategies under Data Imbalance). arXiv preprint arXiv:2412.02094.
  • Dahui Liu, Burak Eksioglu, Matthias Schmid, Nathan Huynh, Gurcan Comert (2024). (Decentralized platoon formation for a fleet of connected and autonomous trucks). 249, pp. 123650. Expert Systems with Applications.
  • Reek Majumder, Jacquan Pollard, M Salek, David Werth, Gurcan Comert, Adrian Gale, Sakib Khan, Samuel Darko, Mashrur Chowdhury (2024). (Development and Evaluation of Ensemble Learning-based Environmental Methane Detection and Intensity Prediction Models). 18, pp. 11786302241227307. Environmental Health Insights.
  • NEGASH BEGASHAW, Gurcan Comert, NG MEDHIN (2024). (DISCRETE EPIDEMIC MODELS: NEURAL NETWORK APPROACH). 33, Dynamic systems and applications.
  • Tumlumbe Chengula, Judith Mwakalonge, Gurcan Comert, Methusela Sulle, Saidi Siuhi, Eric Osei (2024). (Enhancing advanced driver assistance systems through explainable artificial intelligence for driver anomaly detection). 17, pp. 100580. Machine Learning with Applications.
  • Debbie Indah, Judith Mwakalonge, Gurcan Comert, Saidi Siuhi (2024). (Enhancing data efficiency for autonomous vehicles: Using data sketches for detecting driving anomalies). 15, pp. 100530. Machine Learning with Applications.
  • Gavin Black, Varghese Vaidyan, Gurcan Comert (2024). (Evaluating Large Language Models for Enhanced Fuzzing: An Analysis Framework for LLM-Driven Seed Generation). IEEE Access.
  • Reek Majumder, Gurcan Comert, David Werth, Adrian Gale, Mashrur Chowdhury, M Salek (2024). (Graph-Powered Defense: Controller Area Network Intrusion Detection for Unmanned Aerial Vehicles). arXiv preprint arXiv:2412.02539.
  • Pierluigi Pisu, Gurcan Comert, Chunheng Zhao, Negash Begashaw, others (2024). (Securing Deep Learning against Adversarial Attacks for Connected and Automated Vehicles). Center for Connected Multimodal Mobility, Clemson University.
  • Gurcan Comert, Tewodros Amdeberhan, Negash Begashaw, Negash Medhin, Mashrur Chowdhury (2024). (Simple analytical models for estimating the queue lengths from probe vehicles at traffic signals: A combinatorial approach for nonparametric models). 252, pp. 124076. Expert Systems with Applications.
  • Frank Ngeni, Judith Mwakalonge, Gurcan Comert, Saidi Siuhi, Tumlumbe Chengula, Cuthbert Ruseruka (2024). (The role of socioeconomic and environmental factors on pediatric vehicular heatstroke (PVH) deaths and sentiment analysis: an investigation). 23, pp. 101012. Transportation research interdisciplinary perspectives.
  • Jingwei Sun, Jun Li, Yonghong Hao, Cuiting Qi, Chunmei Ma, Huazhi Sun, Negash Begashaw, Gurcan Comert, Yi Sun, Qi Wang (2023). (Boundary-to-solution mapping for groundwater flows in a Toth basin). 176, pp. 104448. Advances in Water Resources.
  • Tumlumbe Chengula, Judith Mwakalonge, Gurcan Comert, Saidi Siuhi (2023). (Improving road safety with ensemble learning: Detecting driver anomalies using vehicle inbuilt cameras). 14, pp. 100510. Machine Learning with Applications.
  • N Begashaw, Gurcan Comert, NG Medhin (2023). (Modeling Covid-19 Epidemic with Quarantine and Lockdown and Analysis). (1) 32, Dynamic Systems and Applications.
  • Jian Liu, Amirhossein Nazeri, Chunheng Zhao, Esmail Abuhdima, Gurcan Comert, Chin-Tser Huang, Pierluigi Pisu (2023). (Switching Strategy for Connected Vehicles Under Variant Harsh Weather Conditions). 7, pp. 371--378. IEEE Journal of Radio Frequency Identification.
  • Gurcan Comert, Negash Begashaw (2022). (Cycle-to-cycle queue length estimation from connected vehicles with filtering on primary parameters). (2) 11, pp. 283--297. International journal of transportation science and technology.
  • N BEGASHAW, Gurcan Comert, NG MEDHIN (2022). (DETERMINING AN OPTIMAL SCHEDULING OF FREIGHT TRANSPORTATION TO MAXIMIZE REVENUE). (1) 30, pp. 17--22. Neural, Parallel, and Scientific Computations.
  • N BEGASHAW, Gurcan Comert, NG MEDHIN (2022). (FRACTIONAL DIFFERENTIAL EQUATION MODEL FOR COVID-19 EPIDEMIC). (4) 31, pp. 217--236. Dynamic Systems and Applications.
  • Esmail Abuhdima, Jian Liu, Chunheng Zhao, Ahmed Elqaouaq, Gurcan Comert, Chin-Tser Huang, Pierluigi Pisu, Amir Nazeri (2022). (Impact of dust and sand on 5G communications for connected vehicles applications). 6, pp. 229--239. IEEE Journal of Radio Frequency Identification.
  • N BEGASHAW, Gurcan Comert, NG MEDHIN (2022). (MODELING COVID-19 EPIDEMIC WITH QUARANTINE AND ANALYSIS). (1) 30, pp. 1--16. Neural, Parallel, and Scientific Computations.
  • Fei Sun, Richard Brooks, Gurcan Comert, Nathan Tusing (2022). (Side-Channel Security Analysis of Connected Vehicle Communications Using Hidden Markov Models). (10) 23, pp. 17562--17574. IEEE Transactions on Intelligent Transportation Systems.
  • Samia Akter, Md Mamun, Judith Mwakalonge, Gurcan Comert, Saidi Siuhi (2021). (A policy review of electric personal assistive mobility devices). 11, pp. 100426. Transportation research interdisciplinary perspectives.
  • Yunteng Zhang, Yuche Chen, Ruixiao Sun, Nathan Huynh, Gurcan Comert (2021). (A surrogate approach for estimating vehicle-related emissions under heterogenous traffic conditions). (6) 71, pp. 778--789. Journal of the Air \& Waste Management Association.
  • Gurcan Comert, Negash Begashaw, Negash Medhin (2021). (Bayesian Parameter Estimations for Grey System Models in Online Traffic Speed Predictions). arXiv preprint arXiv:2108.06839.
  • Gurcan Comert, Mizanur Rahman, Mhafuzul Islam, Mashrur Chowdhury (2021). (Change point models for real-time cyber attack detection in connected vehicle environment). (8) 23, pp. 12328--12342. IEEE Transactions on Intelligent Transportation Systems.
  • Chunheng Zhao, Jasprit Gill, Pierluigi Pisu, Gurcan Comert (2021). (Detection of false data injection attack in connected and automated vehicles via cloud-based sandboxing). (7) 23, pp. 9078--9088. IEEE Transactions on Intelligent Transportation Systems.
  • Thomas Shirley, Bhavya Padmanabha, Pamela Murray-Tuite, Nathan Huynh, Gurcan Comert, Jiayun Shen (2021). (Exploring the Potential of Using Privately-Owned, Self-Driving Autonomous Vehicles for Evacuation Assistance). (1) 2021, pp. 2156964. Journal of advanced transportation.
  • Gurcan Comert, Zadid Khan, Mizanur Rahman, Mashrur Chowdhury (2021). (Grey models for short-term queue length predictions for adaptive traffic signal control). 185, pp. 115618. Expert Systems with Applications.
  • Gurcan Comert, Negash Begashaw, Nathan Huynh (2021). (Improved grey system models for predicting traffic parameters). 177, pp. 114972. Expert Systems with Applications.
  • Dahui Liu, Burak Eksioglu, Matthias Schmid, Nathan Huynh, Gurcan Comert (2021). (Optimizing energy savings for a fleet of commercial autonomous trucks). (7) 23, pp. 7570--7586. IEEE Transactions on Intelligent Transportation Systems.
  • Gurcan Comert, Mecit Cetin (2021). (Queue length estimation from connected vehicles with range measurement sensors at traffic signals). 99, pp. 418--434. Applied Mathematical Modelling.
  • Chunheng Zhao, Gurcan Comert, Pierluigi Pisu (2021). (Secure Connected and Automated Vehicles against False Data Injection Attack using Cloud-based Data Fusion). (20) 54, pp. 638--643. IFAC-PapersOnLine.
  • Gurcan Comert, Mashrur Chowdhury, David Nicol (2020). (Assessment of system-level cyber attack vulnerability for connected and autonomous vehicles using bayesian networks). arXiv preprint arXiv:2011.09436.
  • Gurcan Comert, Samuel Darko, Nathan Huynh, Bright Elijah, Quentin Eloise (2020). (Evaluating the impact of traffic volume on air quality in South Carolina). (1) 9, pp. 29--41. International Journal of Transportation Science and Technology.
  • Gurcan Comert (2020). (Gaussian processes for traffic speed prediction at different aggregation levels). arXiv preprint arXiv:2011.11866.
  • Gurcan Comert, Negash Begashaw, Ayse Turhan-Comert (2020). (Malaria outbreak detection with machine learning methods). pp. 2020--07. BioRxiv.
  • Mhafuzul Islam, Mizanur Rahman, Mashrur Chowdhury, Gurcan Comert, Eshaa Sood, Amy Apon (2020). (Vision-based personal safety messages (PSMs) generation for connected vehicles). (9) 69, pp. 9402--9416. IEEE transactions on vehicular technology.
  • Gurcan Comert, Samuel Darko, Nathan Huynh, Judith Mwakalonge, Bright Elijah, Quentin Eloise, others (2019). (Impact of Transportation on Air Quality at Elementary and Middle Schools in South Carolina). Center for Connected Multimodal Mobility, Clemson University.
  • Joseph Burgett, Dennis Bausman, Gurcan Comert, others (2019). (Unmanned aircraft systems (UAS) impact on operational efficiency and connectivity). Center for Connected Multimodal Mobility, Clemson University.
  • Gurcan Comert, Jacquan Pollard, David Nicol, Kartik Palani, Babu Vignesh (2018). (Modeling cyber attacks at intelligent traffic signals). (1) 2672, pp. 76--89. Transportation research record.
  • Gurcan Comert, Anton Bezuglov, Mecit Cetin (2016). (Adaptive traffic parameter prediction: Effect of number of states and transferability of models). 72, pp. 202--224. Transportation Research Part C: Emerging Technologies.
  • Gurcan Comert (2016). (Queue length estimation from probe vehicles at isolated intersections: Estimators for primary parameters). (2) 252, pp. 502--521. European Journal of Operational Research.
  • Anton Bezuglov, Gurcan Comert (2016). (Short-term freeway traffic parameter prediction: Application of grey system theory models). 62, pp. 284--292. Expert Systems with Applications.
  • Gurcan Comert, Anton Bezuglov (2013). (An online change-point-based model for traffic parameter prediction). (3) 14, pp. 1360--1369. IEEE Transactions on Intelligent Transportation Systems.
  • Gurcan Comert (2013). (Effect of stop line detection in queue length estimation at traffic signals from probe vehicles data). (1) 226, pp. 67--76. European Journal of Operational Research.
  • Gurcan Comert (2013). (Simple analytical models for estimating the queue lengths from probe vehicles at traffic signals). 55, pp. 59--74. Transportation Research Part B: Methodological.
  • Gurcan Comert, Mecit Cetin (2009). (Queue length estimation from probe vehicle location and the impacts of sample size). (1) 197, pp. 196--202. European Journal of Operational Research.
  • Mecit Cetin, Gurcan Comert (2006). (Short-term traffic flow prediction with regime switching models). (1) 1965, pp. 23--31. Transportation Research Record.
  • Martinez, Daniel A Salazar, Arman Razmarashooli, Yang Chua, Simon Laflamme, Chao Hu, Paul Schrader, Austin Downey, Jason Bakos, Gurcan Comert, Negash Begashaw, others (Fast Topological Data Analysis Feature for Nonstationary Time Series).