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Steven I-Jy ChienView profile

Professor

• Transportation Engineering
• Urban Rail Transit
• Sustainable Transportation Systems
• +4 more

Steven I-Jy Chien serves as Professor and Director of the Transportation Program within the Department of Civil and Environmental Engineering at the New Jersey Institute of Technology (NJIT). His career spans academia, government, and industry with significant contributions to transportation engineering research and practice. His educational credentials include: Ph.D. in Civil and Environmental Engineering from University of Maryland-College Park (1995) M.S. in Civil and Environmental Engineering from University of Maryland-College Park (1991) B.S. in Civil Engineering from Tamkang University (1983) Professor Chien's research focuses on transportation system resilience, sustainable transit operations, and advanced traffic modeling. His work addresses critical challenges in urban rail networks, demand-responsive transit services, and energy-efficient transportation systems. He employs sophisticated computational methods including genetic algorithms, machine learning, and Bayesian approaches to solve complex transportation problems involving network vulnerability, passenger behavior, and infrastructure optimization under uncertainty. Analysis of his recent publications reveals strong emphasis on transportation resilience against cascading failures, sustainable operations for electric transit systems, and pandemic-responsive aviation scheduling. His research spans diverse geographic contexts including major Chinese metropolitan areas and U.S. transportation networks, demonstrating global applicability of his methodologies. His professional recognition includes: 2024 Keynote Speaker at Union-Tech Lecture, National Taiwan Ocean University 2022 Keynote Speaker at International Conference of Chinese Institute of Transportation 2022 Best Poster Award from New Jersey Department of Transportation Professor Chien has secured research funding from federal agencies including the Federal Highway Administration (FHWA) where he contributed to CORSIM traffic simulation software development. His industry experience with China Engineering Consultants Inc. and Information Dynamic Inc. informs his practical approach to transportation challenges. As Transportation Program Director, he oversees curriculum development and industry partnerships that prepare students for transportation sector careers. He maintains active collaboration with transportation agencies globally, particularly through his leadership in the Transportation Program at NJIT which serves as a hub for innovation in urban mobility solutions.

Margarita Boenig-LiptsinView profile

Assistant Professor

• Social and political aspects of digital technologies
• Identity and citizenship in technological societies
• Ethics of Technology
• +5 more

Margarita Boenig-Liptsin is a tenure-track Assistant Professor of Ethics, Technology and Society at ETH Zurich's Department of Humanities, Social and Political Sciences, a position she has held since September 2022. Trained in Science, Technology and Society with dual PhDs from Harvard University (History of Science) and Université Paris-Sorbonne (Philosophy), she brings interdisciplinary expertise to examining the relationship between technology, power, democracy, and ethics. Her research spans several interconnected areas focusing on transformations to human identity and citizenship in relation to information technologies across time and cultures. She investigates the social and political aspects of digital technologies, identity and selfhood in technological societies, ethics of technology, and comparative cultures of innovation. Her work uniquely bridges historical analysis with contemporary ethical concerns, examining how concepts like human dignity evolve alongside technological developments from punch cards to AI governance frameworks. Her recent publications (2023-2025) reveal a strong focus on AI ethics, data justice, and the philosophical implications of algorithmic systems. These works demonstrate her consistent interest in how technology shapes democratic processes, citizenship, and ethical frameworks. Her research shows progression from historical studies of computer literacy programs to contemporary analyses of generative AI's impact on knowledge production and everyday ethics. Her scientific recognition includes: NSF funding for her collaborative project on Silicon Valley's innovation imaginary Mozilla Foundation Responsible Computer Science Challenge grant (2018-2021) Academic Data Science Alliance support (2020-2022) Sorbonne Université's Paris IAS Chair on 'Major Changes' (2021-2022) At ETH Zurich, she leads research and teaching initiatives that build connections between engineering and social sciences. Previously at UC Berkeley, she directed the Human Contexts and Ethics Program, developing the Human Contexts and Ethics component for data science education. Her work consistently emphasizes translating social science theory for diverse audiences and connecting scholarly work to community needs in Zurich, Switzerland, and Europe. She teaches courses including 'Artificial Intelligence and Human Values' and 'Research in Ethics, Technology and Society' for the Fall 2025 semester.

• Information Technology Governance
• Cybersecurity
• Blockchain
• +8 more

Dalibor Radovanović is a researcher at Singidunum University , affiliated with the Faculty of Business Informatics . His work spans cybersecurity, blockchain technologies, and their applications in business and IoT systems. Education: Doctoral Dissertation (2016, Singidunum University) Master's & Basic Studies (Faculty of Business Informatics) Secondary Education: ETŠ Nikola Tesla Research Interests include: Security frameworks for IoT and blockchain integration Smart card and wireless network vulnerabilities E-governance and corporate IT audit methodologies Machine learning applications in cybersecurity Environmental performance optimization in agribusiness Publication Trends reveal a focus on blockchain (2022), cybersecurity (2009-2022), and IT governance (2010-2017). His work bridges theoretical analysis with practical implementations in Serbia's digital economy. Collaborations with scholars like Marko Šarac and Saša Adamović highlight interdisciplinary approaches to securing financial systems, educational institutions, and industrial IoT applications.

• Urban morphology
• Urban design
• Street layout and network structure
• +5 more

Stephen Marshall is Professor of Urban Morphology and Urban Design at The Bartlett School of Planning, University College London. He also served as Visiting Professor at the Department of Architecture and Urban Studies, Politecnico di Milano, Italy from 2019 to 2021. With over twenty-five years of experience in the built environment fields, initially in consultancy and subsequently in academia, Professor Marshall has established himself as a leading expert in urban morphology and design. His educational background includes a Doctor of Philosophy from University College London (2001), a Postgraduate Diploma from Edinburgh College of Art (1995), a Master of Science from the University of Leeds (1989), and a Bachelor of Engineering from the University of Glasgow (1988). Professor Marshall's principal research focuses on urban morphology and street layout, examining their relationships with urban formative processes including urban design, coding and planning. His work bridges urban design theory with practical applications, exploring how cities evolve through complex interactions of physical form, social processes, and planning interventions. He has written or edited several influential books including 'Streets and Patterns' (2005), 'Cities, Design and Evolution' (2009), and 'Urban Coding and Planning' (2011). His recent publications reveal a growing interest in applying complexity science to urban morphology, with particular attention to biological analogies for understanding self-organizing cities. He has pioneered research on digital participation methods in urban planning, exploring how online platforms can enhance public engagement in urban space design. His work consistently bridges theoretical urban morphology with practical applications for contemporary urban challenges like pandemic adaptation and sustainable transport. Professor Marshall has served as Chair of the Editorial Board of Urban Design and Planning from its launch to 2012, and is now co-editor of Built Environment journal. His editorial work has significantly shaped scholarly discourse in urban planning and design. He leads several significant research initiatives including the Incubators of Public Spaces project, which explores digital platforms for co-creating urban spaces, and the Self-Organising Built Environment project, which investigates biological analogies in urbanism. These projects reflect his interdisciplinary approach to understanding and shaping urban environments, connecting with Sustainable Development Goal 11 (Sustainable Cities and Communities).

Shrirang MareView profile

Assistant Professor

• Security and Privacy
• Usable Security
• Human-Computer Interaction
• +3 more

Shrirang Mare is an Assistant Professor in the Computer Science Department at Western Washington University (WWU), focusing on computer security and privacy with emphasis on usable security solutions for diverse user groups including low-literate individuals, the elderly, and cross-cultural populations. His research bridges human-computer interaction and cyber-physical systems to create accessible security mechanisms for emerging technologies. His educational background includes a PhD in Computer Science from Dartmouth College (2016), where his dissertation on seamless authentication for ubiquitous devices established his research trajectory. Dr. Mare's research interests encompass security and privacy, human-computer interaction, and cyber-physical systems, with specialized focus on security for low-literate users and developing regions. His work consistently addresses real-world applicability through field studies in countries like India and Pakistan, examining mobile payment systems, SMS fraud, and smart home privacy challenges. Analysis of his 15 most recent publications (2018-2024) reveals a dominant trend in wearable-based authentication systems (wristbands for desktops/smartphones) and privacy solutions for consumer IoT, particularly smart homes. His research uniquely combines technical security mechanisms with deep user-centered design principles, often targeting underserved populations in developing regions. No scientific awards or fellowships were mentioned in the provided documentation. Teaching responsibilities include Privacy Enhancing Technologies, Object Oriented Design, and Data Structures at WWU, with prior guest lectures at UC Berkeley and the University of Washington; no current advisees or grant funding details were specified. Dr. Mare operates within the Computer Science Department at WWU but no dedicated research lab or team structure was referenced in the source materials.

SangHyung AhnView profile

Lecturer

• Construction Process Modelling
• Building Information Modelling (BIM)
• Agent-Based Simulation
• +3 more

SangHyung Ahn is a Lecturer at the School of Civil Engineering , University of Queensland (UQ), since 2017. He joined UQ as a postdoctoral research fellow in 2015 after earning his PhD in Civil Engineering (Construction Engineering and Management) from Purdue University, USA. Prior to his academic career, he worked as an assistant manager at Hyundai Engineering and Construction Co., Ltd. (2003-2007) and holds an MBA in international business from Hanyang University and a B.Sc in Civil Engineering from Korea University. Research Focus: Construction process modelling with virtual reality, decision support systems for construction, automation of data-driven simulation modelling, sensor-based operations analysis, and integration of Building Information Modelling (BIM). Teaching: Coordinates undergraduate courses Introduction to Project Management (CIVL3510) and Construction Engineering Management (CIVL4522) . Research Trends: His recent publications highlight interdisciplinary work in transportation engineering, structural design, and AI-driven simulation tools. Key themes include application of machine learning to car-following models, drone-based vehicle identification, and optimization of public transport systems using agent-based simulations. Supervision: Available for supervision, with completed supervision of PhD and Master’s theses on topics such as BIM-LCA integration, pedestrian trajectory analysis, and AI-driven driving behavior models.

Gregory D. ErhardtView profile

Associate Professor

• Transportation Engineering
• Urban Planning
• Traffic Forecasting
• +4 more

Gregory D. Erhardt is an Associate Professor of Civil Engineering at the University of Kentucky and serves as Associate Director of the T-SCORE Center, a multi-university consortium advancing public transit strategies. He holds a PhD from University College London’s Centre for Advanced Spatial Analysis, with prior experience in transportation planning across public and private sectors. His research focuses on transportation forecasting, big data applications, and evidence-based policy decisions, particularly addressing the impacts of emerging mobility technologies like ride-hailing on urban systems. Erhardt’s work emphasizes improving forecast accuracy and advocating for gender equity in engineering. He has been recognized with awards such as the Transportation Research Board’s Certificate of Appreciation and the Chan Wui & Yunyin Rising Star Fellowship. Education: PhD (University College London), M.S. (Northwestern University), B.S. (Cornell University). His research integrates activity-based travel models with big data to evaluate infrastructure investments and mobility trends. Key projects include analyzing public transit ridership decline, ride-hailing effects on congestion, and TNC impacts on urban transportation systems. Current initiatives include developing multi-agent simulation frameworks for on-demand transit systems. As a Hans Fischer Senior Fellow at the TUM Institute for Advanced Study, he collaborates on travel behavior modeling. His advocacy for diversity includes leading 'Advocates and Allies' training to promote gender equity in engineering. Erhardt’s publications span journals like Transportation Research Part A and Science Advances , with a focus on policy-relevant transportation analytics.

Francisco Camara PereiraView profile

Professor

• Intelligent Transportation Systems
• Machine Learning
• Active Learning
• +3 more

Francisco Camara Pereira is a Professor and Head of Section at the Department of Technology, Management and Economics at the Technical University of Denmark (DTU). His research focuses on Intelligent Transportation Systems, Machine Learning, and Data-Driven Decision-Making in transportation contexts. He actively contributes to advancing transportation science through interdisciplinary approaches combining simulation, optimization, and AI techniques. His work addresses challenges in public transport analysis, charging infrastructure planning, and multimodal demand prediction. Recent projects include developing graph-based optimization methods for electric vehicle networks and causal discovery frameworks for transportation systems. He supervises multiple PhD students in areas like federated learning for cyclist safety, causal graph neural networks, and socially aware AI models. Key contributions include publications on smart card data analysis for travel surveys, stochastic infrastructure expansion models, and transfer learning for bike-share systems. His research aligns with UN Sustainable Development Goals related to sustainable cities and innovation. Dr. Pereira collaborates internationally on transportation policy and infrastructure projects. His lab focuses on translating theoretical advancements into practical solutions for urban mobility challenges.

James S. NobleView profile

Professor

• Logistics and Distribution
• Supply Chain System Design
• Integrated Production Systems
• +7 more

James S. Noble is a Professor and Chair of the Department of Industrial and Systems Engineering at the University of Missouri, where he also serves as the MU Site Director for the NSF I/UCRC Center for Excellence in Logistics and Distribution (CELDi). His work bridges academia and industry through applied research in logistics, supply chain, and integrated production systems. PhD, Purdue University MS, Purdue University BS, University of Oklahoma Dr. Noble's research focuses on logistics and distribution , supply chain system design , and integrated production systems , with applications ranging from humanitarian logistics to intelligent warehouse systems. His work emphasizes modeling, analysis, and optimization of material flow and transportation systems. The 15 most recent articles reflect a consistent trajectory in logistics systems analysis , supply chain modeling , and material flow improvement . These publications demonstrate a strong integration of operations research, systems engineering, and real-world problem-solving, with applications in energy, transportation, humanitarian aid, and industrial logistics. Keywords span Operations Research , Supply Chain Management , and Industrial Engineering , while sub-fields include Bayesian forecasting, reverse logistics, winter road maintenance, and intelligent systems. Dr. Noble has been recognized with several prestigious awards: Society of Manufacturing Engineers Outstanding Young Manufacturing Engineering Award (1997) William T. Kemper Fellowship for Teaching Excellence (2022) Win Horner Award for Innovative Writing Intensive Teaching (2014) Elected Fellow of the Institute for Industrial and Systems Engineering (IISE) (2019) His research has been generously funded by the National Science Foundation , Bayer , Boeing , Hallmark Cards , Honeywell FMT , Medline , Ameren , UMB Financial , the U.S. Economic Development Administration , the Midwest Transportation Consortium , and the Missouri Department of Transportation . While specific advisees are not listed, his leadership in CELDi and role as department chair suggest extensive mentorship of graduate and undergraduate students in real-world logistics projects. He is also a registered Professional Engineer in Missouri. As MU Site Director for CELDi, Dr. Noble leads a multidisciplinary team of faculty from Industrial Engineering, Civil Engineering, Geography, and Biological Engineering, collaborating with over 30 industry, military, and government partners to solve real-world logistics challenges and develop implementable, cutting-edge solutions.

• Transportation Engineering
• Urban Planning
• Sustainable Mobility
• +5 more

Ravi Seshadri is an Associate Professor in the Transport Division at the Department of Technology, Management and Economics, Technical University of Denmark (DTU). His research focuses on designing equitable, efficient, and sustainable mobility solutions with a focus on fiscal instruments like congestion pricing and tradable permits, as well as emerging mobility modes such as shared and demand-responsive transit. He employs methods from transportation network equilibria, dynamic traffic assignment, and agent-based simulation. His research interests span transportation economics, urban planning, and intelligent transportation systems. Key areas include evaluating the impacts of automated mobility-on-demand systems, optimizing tolling strategies using predictive control and reinforcement learning, and integrating multi-modal transportation networks through game-theoretical frameworks. His work emphasizes real-world applications in urban freight systems, e-commerce logistics, and sustainable urban mobility policies. Recent projects include studying congestion pricing schemes via agent-based microsimulation, analyzing behavioral responses to decarbonization policies, and developing frameworks for tradable credit systems with peer-to-peer trading. He has contributed to both theoretical advancements (e.g., robust traffic assignment models) and applied tools like the SimMobility simulation platform. Ravi's research demonstrates a strong focus on bridging transportation engineering with policy analysis, using cutting-edge computational methods to address complex urban mobility challenges. His work spans academic publications, industry collaborations, and policy consultations to advance sustainable transportation systems.

• Cyber Defence
• Reverse Engineering
• Malware Analysis
• +5 more

Geir Olav Dyrkolbotn is an Associate Professor at NTNU's Center for Cyber and Information Security (CCIS) and a Major in the Norwegian Armed Forces, serving at the Norwegian Defence Cyber Academy (NDCA). He leads the NTNU Malware Lab and the cyber defence research group at CCIS. He holds a PhD in Information Security from Gjøvik University College and a MSc in Computer Science from NTNU. With over 25 years in the military, his work focuses on tactical communication systems, defensive cyber operations, and operational security. His research emphasizes cyber defence, reverse engineering, malware analysis, side-channel attacks, and machine learning applications. Education: PhD in Information Security, Gjøvik University College (HiG) MSc in Computer Science, NTNU Research Interests: Geir Olav's work bridges theoretical cybersecurity research and practical military applications. He explores innovative methods for hardware reverse engineering, malware detection/classification using low-level features, and forensic acquisition techniques. His contributions include analyzing USB power delivery vulnerabilities, NTFS cluster allocation behavior, and secure chip exploitation for digital forensics. Teaching: Courses include IIKG6500/IMT4213 Cyber-taktikk, IMT4214 Cyber-etterretning, IIKG6501 Cyber Intelligence, and IMT4116 Malware Analysis & Reversing. Labs & Teams: Heads the NTNU Malware Lab and leads the cyber defence research group at CCIS, collaborating on projects like the Digital Forensic Acquisition Kill Chain and hardware security vulnerability assessments.

Valerie Maier-SperedelozziView profile

Associate Professor

• Mechanical Engineering
• Industrial Engineering
• Systems Engineering
• +5 more

Valerie Maier-Speredelozzi is an Associate Professor in the Department of Mechanical, Industrial and Systems Engineering at the University of Rhode Island. She holds a Ph.D. in Mechanical Engineering from the University of Michigan (2003), with prior degrees in Industrial and Operations Engineering (M.S.E., 2001) and Mechanical Engineering (B.M.E., 1998). Her research bridges lean manufacturing, healthcare systems, and transportation engineering. Ph.D., Mechanical Engineering, University of Michigan, 2003 M.S.E., Industrial and Operations Engineering, University of Michigan, 2001 M.S.E., Mechanical Engineering, University of Michigan, 2001 B.M.E., Mechanical Engineering, Georgia Institute of Technology, 1998 Her work focuses on: Lean Manufacturing and Quality Assurance Human Factors in Industrial Systems Sustainable Supply Chain and Facility Location Transportation Safety and Dynamic Messaging Recent publications highlight trends in: Naval Engineering Education (2024) Healthcare Continuous Improvement (2016) Remanufacturing in SMEs (2016) Dynamic Message Sign Efficacy (2008–2011) Grants from the Office of Naval Research (2020–2021) support collaborations with UConn on safety and ergonomics in naval workforce development. She mentors graduate students and contributes to systems engineering pedagogy through workshops and project-based curricula.

Lawrence M. AusubelView profile

Professor

• Microeconomic Theory
• Game Theory
• Economics of Asymmetric Information
• +4 more

Lawrence M. Ausubel is a Professor of Economics in the Department of Economics at the University of Maryland. He received his PhD in Economics (1984), Master of Legal Studies, and MS in Mathematics from Stanford University. His research focuses on microeconomic theory, game theory, and the economics of asymmetric information, with applications to auction theory and market design. PhD in Economics (Stanford University, 1984) Master of Legal Studies (Stanford Law School) MS in Mathematics (Stanford University) AB in Mathematics (Princeton University) A leading expert in auction theory, Ausubel has made significant contributions to dynamic auctions, combinatorial bidding, and market mechanisms. His work includes developing the efficient ascending-bid auction format (known as the 'Ausubel auction'), analyzing durable goods monopoly, and studying bargaining under incomplete information. He has also explored credit card market dynamics, financial rescue strategies, and electricity market design. Recent research involves cryptographic choice mechanisms, core-selecting auctions with incomplete information, and iterative pricing models. His publications span journals like Review of Economic Studies , American Economic Review , and Econometrica , with patents in auction technology and applications in telecommunications, energy, and finance. 23 U.S. patents related to auction technology Testified before U.S. Congress on credit card markets Founded Power Auctions LLC (2003) Co-inventor of auction formats used by FCC, ISED Canada, and ACMA

• Transportation modeling
• Applied operations research

Jee Eun (Jamie) Kang is an Associate Professor in the Department of Industrial and Systems Engineering at the University at Buffalo's School of Engineering and Applied Sciences. Research focuses on transportation modeling and applied operations research, with applications in urban mobility, shared autonomous vehicles, and sustainable transportation systems. Education includes a PhD from UC Irvine. Research emphasizes data-driven approaches to travel behavior, electric vehicle adoption, and humanitarian logistics. Publications consistently address mobility innovation, including pricing strategies for emerging services, predictive analytics for transit, and optimization of shared transportation systems.

• Artificial Intelligence
• Machine Learning
• Medical Technology
• +7 more

Anis Yazidi is a Professor at Oslo Metropolitan University, affiliated with the Faculty of Technology, Art and Design and the Department of Information Technology. His research focuses on Artificial Intelligence, Machine Learning, Medical Technology, and IoT Security, with a particular emphasis on Applications of AI in Healthcare, EEG Signal Processing, and Digital Transformation. Active research projects include AI Mind (dementia diagnostics), Glycopathology in dry eyes, and Pain and mental distress analysis Completed projects: Digital hate speech analysis, AI in reproductive technology, Nano-antibiotics development His recent publications (2023-2025) demonstrate expertise in: Tsetlin Automaton algorithms for concept learning EEG classification using visibility graphs and vision transformers AI ethics frameworks for medical practice Deepfake detection methodologies Collaborative work spans institutions in Norway, Czech Republic, and international AI research communities.