جستجوی استاد راهنمای دانشگاهی

Babak Mehran is an Associate Professor in the Department of Civil Engineering at the University of Manitoba (Price Faculty of Engineering). He holds a PhD in Civil Engineering from Nagoya University (2009). His research focuses on transportation network resilience, big data analytics, and AI-driven solutions for traffic management. He leads the Urban Mobility and Transportation Informatics Group (UMTIG), collaborating with government and industry on applied transportation research. Key research areas include autonomous vehicle integration, cold-region traffic vulnerability, and optimization of public transit systems. Dr. Mehran has advised graduate students on topics like traffic safety, sensor placement, and semi-flexible transit design. His work bridges theoretical models (e.g., reinforcement learning algorithms) with real-world applications such as winter road maintenance strategies and transit demand analysis. Recent publications emphasize AI-driven traffic prediction, climate adaptation for infrastructure resilience, and safety metrics for truck operations in harsh environments. He collaborates internationally on transportation policy and has contributed to methodologies for evaluating congestion relief strategies using travel time reliability analysis. Lab: Urban Mobility and Transportation Informatics Group (UMTIG) Key Partners: Government agencies, transportation industries, academic collaborators Current Focus: Autonomous shared mobility, cold-climate traffic systems, data fusion for traffic monitoring

• Transportation Network Resilience
• Big Data Analytics in Transportation
• Autonomous and Connected Vehicles
• +۴ مورد دیگر

Jiong Tang is a Pratt & Whitney Chair Professor in Design and Manufacturing at the University of Connecticut , where he also serves as Co-Director of the Management and Engineering for Manufacturing Program . He received his B.S. and M.S. in Applied Mechanics from Fudan University, China (1989 and 1992), and his Ph.D. in Mechanical Engineering from Pennsylvania State University (2001). Prior to joining UConn, he worked at the GE Research Center as a research engineer. Research Interests : System dynamics, control theory, smart materials, vibration suppression, uncertainty propagation, computational intelligence, and multi-physics system modeling. Current Projects : Digital twin development for aerospace materials, physics-informed machine learning in manufacturing, adaptive metasurface design, and optimization of cooperative robotics. Methodological Focus : Combines Bayesian deep learning , Gaussian process metamodeling , transformer-based architectures , and multi-fidelity data fusion for industrial applications. His work emphasizes smart sensing , electromechanical integration , and uncertainty-robust inverse analysis . Collaboration : Research funded by federal agencies and industrial partners , with particular emphasis on aerospace and manufacturing technologies. His recent publications highlight generative adversarial networks for defect detection , piezoelectric metamaterials , and physics-guided neural network architectures across mechanical, structural, and composite systems.

• System Dynamics
• Control
• Sensing and Automation
• +۷ مورد دیگر

Xuan Zhang serves as Associate Professor in Electrical and Computer Engineering at Northeastern University, leading the Sensory AI Lab since joining in January 2024. Her research bridges computer architecture, integrated circuits, and artificial intelligence to develop miniaturized AI systems for autonomous physical platforms. She earned her PhD in Electrical and Computer Engineering from Cornell University in 2012. Her educational background forms the foundation for her interdisciplinary work spanning hardware and software co-design. Dr. Zhang's research focuses on artificial intelligence hardware, machine vision sensors, and security for autonomous systems. She pioneers techniques for efficient in-sensor computing, analog circuit optimization via machine learning, and hardware-level privacy preservation. Her work addresses critical challenges in energy efficiency, robustness, and security for edge AI deployment, particularly in resource-constrained environments like medical devices and autonomous vehicles. Analysis of her 2023-2025 publications reveals three dominant trends: (1) hardware-accelerated privacy mechanisms for sensors, (2) machine learning-driven analog circuit design automation, and (3) energy-efficient architectures for neural network inference. These works consistently target real-world applications in healthcare, autonomous systems, and semiconductor design. Her accolades include the prestigious NSF CAREER Award (2020) and leadership in a $10 million federal semiconductor initiative. She contributes to national efforts in AI-powered chip design through the National Center for the Advancement of Semiconductor Technology. Dr. Zhang advises graduate researchers in the Sensory AI Lab, securing significant funding for projects spanning hardware security, in-sensor computing, and autonomous system assurance. Her lab collaborates with federal agencies and industry partners on cutting-edge semiconductor research. The Sensory AI Lab operates at the hardware-software interface, developing novel architectures for intelligent edge devices. Current projects include optical privacy preservation, robust analog design tools, and energy modeling frameworks for in-sensor visual computing systems.

• Artificial Intelligence Hardware
• Machine Vision Sensors
• Electronic Design Automation
• +۳ مورد دیگر

Rui Neto Marinheiro is an Associate Professor at the Department of Information Science and Technology, School of Technology and Architecture, Iscte - University Institute of Lisbon. He is also an Integrated Researcher at the Institute of Telecommunications - IUL, where he contributes to the Radio Systems Group. His academic leadership includes directing the Bachelor's Degree in Telecommunications and Computer Engineering and coordinating various institutional initiatives such as e-learning, audiovisual services, and international mobility programs. PhD in Electronics and Computer Science, University of Southampton (2001) Bachelor’s in Electrical and Computer Engineering, Faculty of Engineering, University of Porto (1995) His research focuses on advanced computer networking topics, including IoT communication architectures, software-defined networks, network security, mobility, and medium access control. His work bridges theoretical modeling with practical implementation in smart cities and distributed systems. He has led and participated in multiple national and international research projects funded by European and national agencies. The recent publications and projects reflect a strong trend in IoT-enabled smart environments, network resilience, and intelligent surveillance systems. His work integrates wireless technologies, data analytics, and autonomous systems, contributing to both academic knowledge and real-world applications in public safety, tourism, and telecommunications infrastructure. MoniCrowd – Adaptive system for crowding monitoring RESETTING – Digitalization of sustainable tourism ImpAr – Optical network impairment modeling SAAS – UAV surveillance via terrestrial networks LTE-Advanced Enhancements using Femtocells 3DVQM – 3D video quality monitoring E-NEXT – Networking technologies integration AGENTCITIES.RTD – Agent-based service networks Marinheiro actively supervises graduate students, with three doctoral theses and four master’s dissertations currently in progress, and has guided over twenty master’s students to completion. He has not received explicitly mentioned scientific awards in the provided text. His teaching responsibilities span network architecture, security, IoT, and digital communications across multiple undergraduate and institutional programs. He is affiliated with the Institute of Telecommunications - IUL (IT-Iscte), particularly within the Radio Systems Group, where he conducts research on wireless and optical networks. His academic management roles include laboratory coordination and promoting international student recruitment through Erasmus+.

• Computer Networks
• Internet of Things (IoT)
• Network Architectures
• +۷ مورد دیگر

Beau Schelble is an Assistant Professor in the Department of Industrial and Systems Engineering at the University of Tennessee, Knoxville, within the Tickle College of Engineering. He is the founding director of the AI and Robotics for Collaborative Systems (ARCS) Lab, where he leads interdisciplinary research on human-AI teaming, responsible AI, and team cognition. His work bridges human factors, systems engineering, and artificial intelligence, with applications in advanced manufacturing, healthcare, emergency response, and defense. Education: PhD in Human-Centered Computing, Clemson University, 2023 BS in Psychology, Clemson University, 2018 Dr. Schelble's research focuses on optimizing collaborative systems involving humans and AI. Key interests include trust development, situational awareness, shared knowledge, and ethical AI integration. He employs mixed-methods approaches—qualitative, quantitative, and computational—to study human-AI interaction in complex environments. His work has resulted in over 30 peer-reviewed publications in top-tier venues across human factors, HCI, and systems engineering. The 15 most recent articles reflect a strong trend toward ethical AI, explainability, autonomy adaptation, and team cognition in human-AI systems. Topics span healthcare applications, collaborative technologies, training methods, and emotional expression in AI teammates, demonstrating a broad yet cohesive research agenda centered on responsible and effective human-AI collaboration. Scientific Awards and Recognitions: NSF Research Traineeship (THINKER) Scholarship, August 2019 Multiple best paper awards and nominations (5 total) in human factors and systems engineering conferences Dr. Schelble actively mentors students and leads a dynamic research lab. He has secured research support through academic collaborations and professional engagement with IEEE, HFES, ACM, and IISE. His lab, ARCS, fosters innovation in AI-driven collaborative systems. Future work includes expanding frameworks for outpatient care, adaptive autonomy in healthcare, and deeper integration of human teaming principles into AI design. He continues to publish extensively and contribute to shaping the future of human-AI teaming.

• Human-AI Teaming
• Responsible AI
• Trust in Human-AI Systems
• +۱۲ مورد دیگر

Hatim Sharif serves as Professor in the Department of Civil and Environmental Engineering and Construction Management at The University of Texas at San Antonio's Margie and Bill Klesse College of Engineering and Integrated Design. His research bridges environmental engineering, hydrology, and transportation safety with significant focus on arid and semi-arid regions including Texas and the Middle East. Holding multiple advanced degrees, he directs interdisciplinary projects addressing critical infrastructure resilience challenges. His educational credentials include: Ph.D. in Environmental Engineering, University of Connecticut M.S. in Civil Engineering, Colorado State University B.S. in Civil Engineering, University of Khartoum M.P.H., Texas Health Science Center Professor Sharif's research centers on environmental and civil engineering challenges with emphasis on flood prediction systems , road safety under extreme weather , and remote sensing applications for environmental monitoring . His work integrates hydrological modeling, transportation engineering, and public health to address climate change impacts on water resources and infrastructure. Notable strengths include developing physically-based models for arid regions and analyzing socio-environmental justice dimensions through satellite data. Analysis of his publication record reveals strong interdisciplinary trends combining hydrology, transportation safety, and environmental justice. His recent work increasingly utilizes high-resolution satellite data and radar precipitation products to study extreme weather events, with growing focus on autonomous vehicle infrastructure adaptation and environmental health disparities. Middle Eastern case studies (particularly UAE and Saudi Arabia) feature prominently alongside Texas-based research. His scientific recognition includes: Fulbright Scholar Award (2015-2016) Fulbright Senior Specialist Award (2015) LTHE Scientific Visitor Fellowship, Grenoble (2014) NSF Science Technology Centers Faculty Fellowship (2007) NCAR Advanced Studies Program Faculty Fellowship (2006) NCAR Postdoctoral Fellowship (2002-2004) Professor Sharif serves as Associate Editor for Remote Sensing (MDPI) and the Arabian Journal for Science and Engineering (Springer), demonstrating scholarly leadership. His professional affiliations with AGU, AMS, AWRA, APHA, and ASEE facilitate cross-disciplinary collaboration. While specific grant details beyond his fellowships aren't enumerated, his extensive publication output indicates sustained research funding through federal agencies and international partnerships, particularly with Middle Eastern institutions. His research operates through international collaborations with institutions in Saudi Arabia, UAE, and France, focusing on water-stressed regions. Current initiatives address autonomous vehicle infrastructure adaptation, climate-resilient urban drainage, and environmental justice applications of satellite monitoring, with future work likely expanding into AI-driven hydrological forecasting and integrated transportation-climate models.

• Environmental Engineering
• Hydrology
• Flood Modeling
• +۷ مورد دیگر

Robert Stuart-Smith is an Assistant Professor of Architecture at the University of Pennsylvania’s Stuart Weitzman School of Design, where he also directs the MSD-RAS program and the Autonomous Manufacturing Lab. His research focuses on integrating robotics, computation, and architectural design to address environmental and economic challenges in construction. He leads a $5M+ research portfolio collaborating with firms like Cemex and Skanska, and his work includes pioneering aerial additive manufacturing with drones, published in Nature . Stuart-Smith co-founded Robert Stuart-Smith Design and Kokkugia, and authored Behavioural Production . His teaching spans courses on material formations and robotic design at institutions globally. Exhibitions of his work include the Venice Biennale and Frac Centre-Val de Loire. His academic background includes dual BAs in Architecture and Environmental Design, with additional affiliations to the GRASP Lab in Engineering. Key research themes include robotic fabrication, collective robotic construction, and sustainable material practices. Recent projects explore ceramic die-extrusion and dynamic slip casting techniques. Stuart-Smith’s work bridges academia and industry, emphasizing scalable, culturally impactful architectural solutions. Notable collaborations include the Aerial Additive Manufacturing project demonstrating in-flight drone coordination, and the Ceramic Forest initiative exploring robotic ceramic production. His pedagogical focus on interdisciplinary education is reflected in the MSD-RAS program’s emphasis on technical innovation and design speculation.

• Architectural Design
• Robotic Fabrication
• Collective Robotic Construction
• +۳ مورد دیگر

Professor Patrick Langdon serves as Director of the Transport Research Institute at Edinburgh Napier University's School of Computing Engineering and the Built Environment (SEBE). He holds the position of Professor of Engineering Design, Transportation, and Inclusion and leads Ethics and Integrity initiatives for both SEBE and the School of Computing. With over 20 years of experience as an Experimental Psychologist, Langdon has established himself as a leading researcher at the intersection of cognitive science, artificial intelligence, and transportation engineering. Langdon's research spans multiple interconnected domains focused on human-centered design in transportation systems. His work centers on inclusive design principles for autonomous vehicle interfaces, human-machine interaction in complex environments, and the application of cognitive science to transportation challenges. Key research themes include designing for diverse user populations, predicting driver intent using Bayesian methods, enhancing situation awareness in multitasking scenarios, and developing ethical frameworks for human participation in technology research. His multidisciplinary approach bridges engineering, psychology, and computer science to address real-world transportation challenges. Analysis of Langdon's publication record reveals a consistent focus on human factors in automated transportation systems, with increasing emphasis on sustainable and inclusive mobility solutions. His work shows progression from foundational research in inclusive design to cutting-edge applications in autonomous vehicles and hydrogen-electric aviation. The publications demonstrate strong methodological diversity, incorporating experimental studies, theoretical frameworks, and real-world implementation projects that address both technical and social dimensions of transportation technology adoption. Langdon's research activities are supported by significant funding from diverse sources including Innovate UK, Engineering and Physical Sciences Research Council, European Commission, and industry partners. His leadership extends to major collaborative projects such as the HEART (Hydrogen Electric and Automated Regional Transportation) initiative, CAVForth automated bus service expansion, and research on inclusive kerb design for urban environments. These projects demonstrate his ability to translate theoretical research into practical transportation solutions with real-world impact. As Director of the Transport Research Institute, Langdon oversees a multidisciplinary team working at the forefront of transportation innovation. His research group focuses on the integration of cognitive science, artificial intelligence, and engineering design to create transportation systems that accommodate diverse user needs while advancing sustainable mobility solutions. The institute serves as a hub for collaboration between academia, industry, and government agencies working to shape the future of transportation.

• Inclusive Design
• Ergonomics
• Human Factors
• +۷ مورد دیگر

Cecilia Schwartz is a Professor at the Department of Romance Studies and Classics, Stockholm University. Her research focuses on transnational literary dynamics, particularly Italian literature's global circulation and reception through mediators like translators, publishers, and libraries. She leads the ongoing project A Rome of One's Own (RJ-funded, since 2021), examining women's intercultural mediation between Sweden and Italy. Co-organizer of the Transcultural Literary Studies research group Former participant in the national Cosmopolitan and Vernacular Dynamics in World Literatures program (2016-2021) Specializes in: comparative literature, translation sociology, reception studies, and women's literary mediation Her publications analyze Italian literature's Swedish reception through various lenses: From Verga's translations ( Revista Romane , 2017) to Calvino's Invisible Cities global reception (Bloomsbury, 2022). She investigates cultural stereotypes in anthologies ( Narratives Crossing Borders , 2021) and semi-peripheral literature dynamics ( Journal of World Literature , 2017). Key contributions include: La letteratura italiana in Svezia (Carocci, 2021) and co-edited volumes like Libri in viaggio (2013) and Agenti segreti (2012). Her work connects field theory with social network analysis to map literary transfer mechanisms across cultural boundaries.

• Comparative Literature
• Sociology of Translation
• Transculturality
• +۶ مورد دیگر

Professor Kitsuchart Pasupa, Ph.D. , is a royal-appointed full professor and Vice Dean for Research & Innovation and International Affairs at the School of Information Technology (SIT) , King Mongkut's Institute of Technology Ladkrabang (KMITL) , Thailand. He has held academic positions at the University of Southampton, University of Sheffield, University College London, IIT Patna, and several European institutes, and is a senior member of both IEEE and the Asia Pacific Neural Network Society (APNNS). Education Ph.D. in Automatic Control & Systems Engineering, University of Sheffield, UK (2007) M.Sc.(Eng) in Control Systems, University of Sheffield, UK (2004) B.Eng. in Electrical Engineering, Sirindhorn International Institute of Technology, Thammasat University, Thailand (2003) Research Focus Professor Pasupa’s research lies at the intersection of machine-learning theory and real-world applications . He designs and deploys algorithms for chemoinformatics, bioinformatics, eye-tracking analytics, cyber-bullying detection, Thai natural-language processing, multimodal fusion, time-series forecasting , and healthcare AI . His work spans from foundational reservoir computing and extreme learning machines to large-scale deep learning systems operating on mobile devices and cloud platforms. Across more than 150 refereed publications , a clear trend emerges: leveraging limited or noisy data, handling concept drift, and delivering interpretable AI solutions for socially impactful domains such as medical imaging, precision livestock farming, financial analytics, and smart-city water management. Scientific Awards & Fellowships APNNS Young Researcher Award 2019 Multiple Best Paper Awards (ICITEE 2024, KST 2019, IC2IT 2018, NCIT 2015, NCCIT 2014) KMITL Honorable Fame Awards (2014–2022) Teaching Excellence Award 2017, KMITL Commander (Third Class) of the Most Noble Order of the Crown of Thailand (2020) Companion (Fourth Class) of the Most Exalted Order of the White Elephant (2017) Grants & Supervision He has attracted >30 M THB in research funding from Thai government agencies, EU (FP7), Indian DST, and industry partners (SCB, KBTG). He currently leads a 2025-2026 KMITL grant on multimodal financial Q/A for Hindi and Thai and has completed projects on cyber-bullying in ASEAN languages, car-parts segmentation, eye-tracking, SNP analytics, waste classification, and smart farming . PhD advisees: 3 current + 6 completed Master’s & Bachelor’s student supervision: >60 theses and projects Internship teams: guided award-winning student teams in international programming contests (NAPROCK, NSC, TICTA) Laboratory & Teams His Intelligent Systems & Machine Learning Research Group at SIT-KMITL collaborates closely with IIT Patna, University of Malaya, Aalto University, and University of Leoben, maintaining an active visiting-scholar program and hosting joint workshops and data challenges. The lab focuses on reproducible research and open datasets in Thai NLP, medical imaging, and smart-city analytics.

• Machine Learning
• Deep Learning
• Chemoinformatics
• +۷ مورد دیگر

Sjors Overman is an Assistant Professor at the Utrecht School of Governance , focusing on public accountability, emotions, and semi-autonomous agencies. He also serves as Managing Director of the Netherlands Institute of Governance (NIG), coordinating doctoral education and financial affairs. Education: PhD in Public Administration (2015, Radboud University), MSc in Public Administration (2011, Utrecht/Erasmus/Tilburg Universities), BSc in Public Administration (2009, Radboud University) Research interests include behavioral aspects of accountability, public sector reforms, and measurement scales in survey research. His work explores how individuals perceive accountability relationships and how institutional structures shape these dynamics. Publications span journals like Public Management Review , Administration & Society , and Electronic Journal of e-Government , with recent studies on felt accountability , populist pressures , and conflictual accountability . Scientific awards include the prestigious NWO Veni Grant (€250,000) for his project on emotional effects of accountability. Teaching includes methods and statistics, policy analysis at bachelor’s and research master’s levels, and supervision of MA theses.

• Public Accountability
• Behavioral Public Administration
• Public Management Reform
• +۴ مورد دیگر

Mohammed Quddus is a Professor and Chair in Intelligent Transport Systems at Imperial College London's Department of Civil and Environmental Engineering (Faculty of Engineering). Previously, he was Professor and Head of Transport & Urban Planning at Loughborough University. He holds a PhD from Imperial College London (2006), MEng from National University of Singapore (2001), and BSc from Bangladesh University of Engineering and Technology (1998). As a Fellow of the Higher Education Academy (UK), his research focuses on autonomous vehicles, transport safety, big data analytics, and connected transport systems. His work emphasizes AI-driven solutions for map-matching algorithms, vehicle-infrastructure integration, and traffic safety. He leads interdisciplinary projects funded by EPSRC, National Highways, UK Department for Transport, and EU grants. Professor Quddus has authored over 140 journal articles, 130 conference papers, and pioneered influential methods adopted by car manufacturers and transport agencies. Key research themes include: Autonomous/Semi-Autonomous Vehicle Operations Real-Time Crash Prediction Systems Intelligent Mobility Infrastructure Connected Vehicle Ecosystems Urban Traffic Optimization His lab develops advanced driver assistance systems, traffic simulation frameworks, and safety assessment models. Current focus areas include evaluating lane closure impacts for autonomous vehicles, optimizing parking policies in smart cities, and enhancing mobility equity through AI-driven transport planning.

• Intelligent Transport Systems
• Transport Safety
• Autonomous and Connected Vehicles
• +۵ مورد دیگر

Antonio LORIA is a Senior Researcher (DR1) at the CNRS, affiliated with the Laboratoire des Signaux et Systèmes (L2S) at CentraleSupélec in France. His primary research discipline is Automation, focusing on control systems, robotics, and nonlinear dynamics. He holds a DEA and PhD from UTC, France, and has held CNRS positions since 1999, advancing through ranks to his current role. LORIA’s work emphasizes multi-agent systems, networked control, and formation control, with applications in robotics and autonomous systems. Education: Born in Mexico (1969), he studied Electronic Systems Engineering at ITESM, Mexico, followed by a DEA (1993) and PhD (1996) in Automation from UTC. Postdoctoral studies at the University of Twente (Netherlands), NTNU (Norway), and UC Santa Barbara (USA). Research Interests: Automation, robotics, nonlinear control, stability theory, and consensus algorithms. His recent work includes strict Lyapunov function design, robust formation control, and adaptive estimation for hybrid systems. Publications: Over 100 journal and conference articles on topics like consensus algorithms, multi-agent systems, and nonlinear control. Recent work (2024–2025) includes studies on bipartite formation control, hybrid networks, and robust adaptive estimation. Grants & Leadership: Led or participated in projects funded by the EU, ANR, and CNRS. Served on evaluation committees for French and international research agencies (ANR, MINES, ANID, UEFISCDI). Associate editor for journals like IEEE Trans. on Automatic Control and Automatica . Students & Mentoring: Supervised 14 PhD students and 4 postdocs, many now in academia or industry roles. His advisees hold positions at CentraleSupélec, CNRS, and universities in Mexico, the Netherlands, and elsewhere. Labs & Groups: Active member of L2S research teams such as MODESTY (Modeling for Control), COMEDY (Dynamic Systems), and SYCOMORE (Robust Control). Involved in transverse research axes like Energy and Future Industry.

• Automation
• Robotics
• Applied Mathematics
• +۴ مورد دیگر

Matej Kristan is a Full Professor at the Faculty of Computer and Information Science , University of Ljubljana, where he serves as Vice Chair of the Department of Artificial Intelligence . He leads the Visual Object Tracking (VOT) Initiative , presides over the IAPR Slovenian Pattern Recognition Society , and acts as Associate Editor for IJCV . PhD from Faculty of Electrical Engineering, UL (2008) Co-organized 13+ workshops/conferences Research Interests focus on: Visual Object Tracking : Long-term re-detection, transparent object tracking, segmentation-based methods Autonomous Boats : Obstacle detection, sensor fusion, maritime navigation Physics-Informed Deep Learning : Sea level forecasting (HIDRA models), climate prediction Surface Defect Detection : Real-time deep architectures for cracks/dents Scientific Excellence : 26 Research Excellence Awards (Slovenian Research Agency) 10 Teaching Excellence Awards (UL/FRI) Best Paper Awards: ISPA2015, BMVC2022, Pattern Recognition Journal 2024 Student Mentorship : Supervised 8 PhD students including Alan Lukežič (summa cum laude 2021), Domen Tabernik , and Peter Uršič . His students have won 23 awards including multiple Prešeren Awards and Uroš Seljak distinctions. Laboratory Involvement : Key member of the Visual Cognitive Systems Laboratory , contributing to multimodal perception systems for maritime robotics, educational robotics platforms, and advanced deep learning architectures.

• Computer Vision
• Visual Object Tracking
• Detection and Segmentation
• +۳ مورد دیگر

John Sobanjo is a Professor of Civil & Environmental Engineering at the Florida A&M University-Florida State University (FAMU-FSU) College of Engineering. He holds a Ph.D. from Texas A&M University (1991), an M.S. from the University of Michigan (1984), and a B.S. from the University of Lagos (1980). His research focuses on infrastructure engineering, transportation systems, and sustainable construction materials. Notably, he has pioneered work in bridge management systems, pavement evaluation, and GPS/GIS applications in civil engineering. Prof. Sobanjo’s professional experience includes roles as an Associate Professor (2001–present) and prior engineering positions with state transportation departments. He has advised numerous projects for the Florida Department of Transportation (FDOT) and contributed to national/international conferences. His work emphasizes integrating advanced technologies like machine learning and semi-Markov models for infrastructure resilience and safety. Research interests span competing risks analysis in infrastructure deterioration, optimization of level crossings, and sustainable transportation networks. His awards include Fellow status in the American Society of Civil Engineers (F.ASCE). Key contributions include developing decision support tools for bridge management and improving safety at highway-rail grade crossings through multi-objective frameworks. Prof. Sobanjo teaches courses in construction materials, planning, and project controls. His lab focuses on smart sensors (e.g., triboluminescence-based systems) for structural health monitoring. Collaborations include federal agencies like FHWA and global institutions.

• Infrastructure Engineering
• Transportation Engineering
• Sustainability
• +۴ مورد دیگر