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Matthew Alexander Clarke is an Assistant Professor in the Department of Aerospace Engineering at the University of Illinois. His research focuses on advanced aerospace systems, particularly electric aircraft design, battery technology, and thermal management systems. He collaborates on projects related to urban air mobility and sustainable aviation, addressing challenges such as noise pollution mitigation and battery longevity. His recent work includes developing metrics for evaluating the socioeconomic impacts of urban air mobility operations and optimizing thermal management systems for electric aircraft. Clarke has contributed to peer-reviewed journals and conference proceedings, with notable publications on liquid cooling systems for batteries and physics-based approaches for thermal system design. Clarke’s research trends emphasize interdisciplinary innovation at the intersection of aerospace engineering, battery technology, and environmental sustainability. His studies often involve collaborations with industry and academic partners to advance next-generation aviation technologies. While no awards or grants are explicitly mentioned in the text, his work demonstrates significant engagement with cutting-edge aerospace challenges. He advises on collaborative research projects but no formal advisees/students are listed here.

• Aerospace Engineering
• Electric Aircraft Design
• Battery Technology
• +3 more

Marco Nie is a Professor and Chair of the Department of Civil and Environmental Engineering at Northwestern University, where he has been a faculty member since 2006. His research focuses on Transportation Systems Analysis, emphasizing interdisciplinary approaches that integrate optimization, network science, traffic flow theory, economics, and statistics to address complex interactions between human activities, infrastructure, and urban networks. He teaches three courses: an undergraduate/graduate introduction to transportation engineering, and two graduate courses on analytical and computational tools for surface transportation systems design. Education: Marco Nie earned a BS in Structural Engineering from Tsinghua University (Beijing), followed by graduate studies in Transportation at the National University of Singapore (NUS), and a PhD in Transportation from the University of California, Davis. Research interests include improving transportation efficiency, sustainability, and equity through policy and technology. Recent work explores autonomous vehicles, modular transit systems, congestion pricing, and data-driven solutions for EV charging and ride-hail platforms. He has expressed challenges in securing research funding, noting its critical role despite inherent flaws in evaluating research impact through monetary metrics. Scientific Awards: He received the 2021 Transportation Science Meritorious Service Awards . Marco also serves on editorial boards, including Service Science (2023), and actively publishes on topics like urban mobility, freight logistics, and policy analysis. Advising & Grants: While no specific students or grants are listed, he highlights the importance of funding mechanisms for research. His work often involves collaborations with sponsors and stakeholders to address real-world transportation challenges. Labs/Teams: Affiliated with the Center for Science and Protection of Engineered Environments and engages in interdisciplinary research groups focusing on sustainable and equitable urban systems.

• Transportation Engineering
• Transportation Systems Analysis
• Urban Mobility
• +7 more

Lewis J. Lehe is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign (UIUC), specializing in Transportation Systems. He holds a Ph.D. from UC Berkeley (2016) and prior degrees from UC Berkeley, University of Leeds, and University of Pittsburgh. His research focuses on transportation pricing, urban traffic dynamics, and the economic implications of transportation policies. Lehe's work includes groundbreaking studies on congestion pricing, parking policy impacts, and the integration of AI tools (e.g., GTFS Segments, TransitGPT) for transportation data analysis. He has been recognized with the Gordon F. Newell Award (2016) and Ove Arup Transport Prize (2012), and leads the Urban Traffic & Economics Lab (UTEL) at UIUC. Notable research contributions include modeling hyperdemand in traffic systems, analyzing bus stop spacing, and evaluating taxation strategies for ride-hailing services. His recent articles explore transit pricing determinants, parking lot segmentation via NIR datasets, and equilibrium tolling paradoxes. Lehe advises graduate students like Ayush Pandey and Shirin Qiam, advancing topics such as bus route optimization and GTFS data benchmarking.

• Transportation Engineering
• Urban Traffic Management
• Transportation Economics
• +3 more

Alberto Dainotti is an Associate Professor at the School of Computer Science, College of Computing, Georgia Institute of Technology (Georgia Tech), and Director of the Internet Intelligence Lab. His research focuses on Internet measurement, data science, and cybersecurity, with a particular emphasis on infrastructure reliability and socio-political implications of cyber events. Before joining Georgia Tech in 2014, he served as an Associate Research Scientist and Principal Investigator at CAIDA (Center for Applied Internet Data Analysis) at UC San Diego. He holds a Ph.D. in Computer Engineering and Systems from the University of Napoli 'Federico II', Italy (2008). He teaches courses such as Internet Data Science (CS 8803), Computer Networking I (CS 3251), and Computer Networks/Networking II (CS 6250/4251). Current students include Feng Zhu, Iliana Xygkou, Olivier Bemba, Weili Wu, Zahra Yazdani, and Zhiyi Chen. Former advisees have transitioned to roles at Amazon AWS Research, Northeastern University, UC Davis, Microsoft Azure, and VMware, among others. Research Interests: Internet Connectivity Outages & Mitigation BGP Routing Security & Monitoring Cybersecurity in Political Contexts Address Space Utilization DDoS/Botnet Analysis Network Measurement Tools Scientific Contributions: Developed systems like IODA, BGPStream, and GRIP for real-time Internet monitoring Recipient of the IRTF Applied Networking Research Prize (2012, 2017) Awarded Best Dataset (PAM 2022) and Best Community Artifact (PAM 2023) Authored over 50 publications in top venues including SIGCOMM, IMC, and NSDI Grants & Funding: National Science Foundation (NSF) grants CNS-1705024 / 2202288 and CNS-1703592 US Department of Homeland Security Cisco Systems, Comcast, ISOC, Google, and Open Technology Fund Labs & Collaborations: Internet Intelligence Lab (Georgia Tech) CAIDA collaboration (UC San Diego) MAPKIT project with University of Wisconsin-Madison Contributor to OECD and BITAG reports on routing security

• Internet Measurement
• Cybersecurity
• Data Science
• +6 more

Marieke H. Martens is a Full Professor of Automated Driving & Human Interaction at Eindhoven University of Technology (TU/e) and Director of Science at TNO’s Traffic & Transport unit. Her work focuses on human behavior in automated driving systems, addressing challenges like trust, control transitions, and societal acceptance. She holds a PhD in Experimental Psychology from Vrije Universiteit Amsterdam and previously served as a professor at the University of Twente. Education: PhD in Experimental Psychology, Vrije Universiteit Amsterdam (2007) Master’s in Experimental and Cognitive Psychology, Vrije Universiteit Amsterdam Research Interests: Human factors in automated vehicles, human-machine interaction design, road user safety, and the societal implications of smart mobility. Her work bridges psychology, engineering, and design to ensure systems are user-centered and safe. Awards: CHI '20 Best Paper Award (2020) AutomotiveUI '20 Honorable Mention Award (2020) Advising & Grants: Supervises over 10 students, focusing on automated driving’s human aspects. Active in projects like ISA-FIT (Intelligent Speed Assistance) and dynamiC spEed Limits. Collaborates globally with institutions and automotive industries. Labs & Networks: Leads TU/e’s Designing With Intelligence initiative and participates in EU ethics committees for automated mobility. Maintains a global network in academia and industry, fostering interdisciplinary research.

• Automated Driving
• Human Factors
• Traffic Safety
• +3 more

Ingrid Moerman is a part-time Professor at Ghent University and a staff member at the Internet Technology and Data Science Lab (IDLab), a core research group of imec embedded within Ghent University and the University of Antwerp. She coordinates mobile and wireless networking research and leads a team of over 30 researchers at Ghent University, with extensive involvement in European and national funding initiatives. She received her Electrical Engineering degree (1987) and Ph.D. (1992) from Ghent University. Her research spans collaborative networks, cognitive radio, software-defined radio, IoT, LPWAN, and high-density wireless access, emphasizing experimentally-supported development of next-generation wireless systems with practical implementations in spectrum management and real-time control. Recent publications (2024-2025) reveal a strong pivot toward AI-integrated wireless networking, featuring OFDMA scheduling innovations, Wi-Fi 6/7 interference mitigation, and time-sensitive networking for industrial applications. Key trends include 5G/6G convergence, vehicular communication enhancements, and digital twin frameworks for network observability, reflecting her focus on mission-critical industrial use cases. Her accolades include: 9 Best Paper Awards 2 FWO Prizes (Research Foundation - Flanders) IMEC Prize of Excellence 2001 MSc Thesis Award (as promoter) Best Demo/Exhibit Award at ICT 2013 DARPA Spectrum Collaboration Challenge Prize ($750,000) She has coordinated major EU projects (FP7/H2020: CREW, WiSHFUL, eWINE, ORCA) with industry partners, securing substantial funding for experimental wireless research. Her grant portfolio emphasizes collaborative innovation in spectrum sharing and neutral-host architectures for multi-operator environments. At IDLab, she directs advanced wireless testbeds supporting real-world validation of technologies like openwifi and White Rabbit, with active experimentation in time-sensitive networking and spectrum collaboration for industrial IoT deployments.

• Wireless Networking
• Cognitive Radio Networks
• Internet of Things
• +4 more

Dr Sjaanie Koppel is an Associate Professor at Monash University's Accident Research Centre (MUARC), specializing in road safety research. She leads MUARC's Behavioural Science team and holds multiple leadership roles including Board Director of AAAM, ACRS Executive Member, and Associate Editor for Traffic Injury Prevention . Her research focuses on vulnerable road users, driver health assessment, and emerging mobility technologies. She leads major projects like NORTISS and smart vehicle systems for dementia drivers. Koppel holds a PhD in Psychophysiology and has received awards including the 2024 Women in Road Safety Award. Key collaborations include Safe Kids Worldwide and TÜV SÜD. Her work addresses older driver mobility, child occupant safety, and workplace road safety through innovative methods like driving simulations and naturalistic studies. She manages the National Road Safety Partnership Program (NRSPP) to improve corporate road safety practices. Recent research includes rideshare safety, pregnancy seatbelt use, and automated vehicle takeover behavior. Koppel has published 227+ outputs since 2002 and actively engages in policy advocacy through 56+ professional activities.

• Road Safety
• Vulnerable Road Users
• Child Road Users
• +5 more

Amanda Stephens serves as a Senior Research Fellow at Monash University Accident Research Centre (MUARC), Australia’s largest multidisciplinary research hub for injury prevention in transport. With over a decade of international road safety experience across England, Scotland, and Ireland, she joined MUARC in 2013 and has established herself as a leading expert in driver psychology, particularly regarding aggressive and anti-social driving behaviors. Her work bridges academic research with real-world policy implementation through active engagement with government bodies and industry stakeholders. Stephens' research program centers on psychological mechanisms behind risky driving, with emphasis on emotional regulation during transport, workplace driving safety, and compliance with road rules. She investigates how stress, anxiety, and anger manifest in driver behavior, developing evidence-based behavior modification programs for fatigued and emotionally compromised drivers. Her expertise extends to human factors in automated vehicle systems and distraction prevention across diverse road user groups. Recent publications reveal strong thematic consistency in Stephens' work, with 2025 outputs focusing on psychological determinants of road safety including driver drowsiness in automated vehicles, technology-induced distraction in cycling, national patterns of aggressive driving, and community acceptance of alcohol detection technologies. Her research consistently integrates human factors perspectives with practical interventions, demonstrating growing emphasis on emotional regulation frameworks and cross-cultural applicability of safety programs. Scientific recognition includes: Advancing Women's Research Success Grant (2019) Best Paper Award - Researcher (2023) Best Research Paper 2019 (2019) Best Research Paper 2021 (2021) MUARC 2024 Seeding Grant for autonomous driving research (2024) Stephens actively supervises PhD candidates in driver behavior psychology and leads substantial research funding through 21 projects including major initiatives on automated vehicle implementation for high-risk drivers (2025-2027), Road Rule 79A effectiveness evaluation (2024-2026), and national driver distraction roadmaps. Her collaborative approach involves partnerships with government agencies, industry stakeholders, and international research teams to address complex transport safety challenges. As a core member of MUARC's multidisciplinary team, Stephens contributes to Australia's premier road safety research ecosystem through regular media commentary (31 press appearances), public seminars on driver psychology, and advisory roles with Road Safety Education Limited. Her work directly translates research findings into judicial education programs, corporate safety policies, and public awareness campaigns addressing emotional and fatigued driving.

• Driver Psychology
• Road Safety
• Aggressive Driving
• +4 more

Professor Xie Litian is a part-time faculty member at the National University of Singapore (NUS), teaching postgraduate programmes since January 2014. He holds a PhD in Transport Modelling from Nanyang Technological University (2006) and has over 20 years of experience in transport planning and policy across public and private sectors. His primary affiliation is with the Urban Redevelopment Authority (URA) of Singapore, where he leads innovative solutions for Land Use & Transport Integrated Planning. He previously served as Vice President (mobilityX) and Deputy Head (Transport Planning) at SMRT (2018–2021), and at Singapore Land Transport Authority (LTA) as a senior transport modeller (2008–2018). His research focuses on Transport Modelling & Simulation , Mobility Strategy & Solutions , and Transport Impact Assessment . Key projects include leading the Singapore Transport Impact Assessment (TIA) Guidelines (2011 & 2017), which established technical standards for car-lite developments. His work spans international consultancy projects in China, India, UAE, and others. Xie’s publications emphasize Smart City Planning and Transport Policy Implementation , with contributions to journals like Transportation Research Part A . His recent work explores Mobility-as-a-Service (MaaS) solutions and integrates data analytics into transport systems. Despite no explicit awards mentioned, his leadership roles and technical guidelines reflect industry recognition. He advises on transport networks and development strategies for Singapore’s districts, leveraging simulation tools and interdisciplinary approaches. His part-time academic role allows him to bridge research and real-world policy, maintaining active engagement with academic communities through paper reviews and conference participations.

• Transport Planning
• Transport Modelling & Simulation
• Mobility Strategy & Solutions
• +3 more

Guillaume A SARTORETTI is an Assistant Professor in the Mechanical Engineering Department at the National University of Singapore (NUS), part of the College of Design and Engineering. He specializes in distributed/decentralized coordination of multi-agent systems, with a focus on robotics, stochastic modeling, and reinforcement learning. His work spans applications in multi-robot systems, articulated robots, and swarm intelligence. Joined NUS in 2019 after a postdoctoral fellowship at Carnegie Mellon University (CMU) and a PhD from EPFL. Education: PhD in Robotics (EPFL, 2016); MSc and BSc in Mathematics/Computer Science (University of Geneva). Research interests include: Multi-agent pathfinding Decentralized control policies Swarm intelligence Reinforcement learning applications in robotics Recent publications emphasize scalable solutions for multi-agent systems, traffic signal control, and safe robotic exploration. His 2018 MFI postdoctoral fellowship recognized work on distributed reinforcement learning for pathfinding. Current projects involve bio-inspired locomotion and collaborative learning frameworks for heterogeneous robots.

• Robotics
• Multi-Agent/Multi-Robot Systems
• Distributed/Decentralized Control
• +4 more

Dr. Suranga Seneviratne is a Senior Lecturer in Security at the School of Computer Science, University of Sydney. He holds a PhD from the University of New South Wales (2015) and a Bachelor's degree from the University of Moratuwa, Sri Lanka (2005). Before academia, he worked in telecommunications for six years. His research focuses on cybersecurity, particularly privacy and security in mobile systems, AI applications in security, and behavioral biometrics. He has developed tools like an app security rating system and intrusion-free authentication methods. Key awards include the ACM Mobicom 2015 Gold Prize, NASSCOM Technical Innovation Award, and IESL NSW Engineering Excellence Award (all 2015). Current research students include Pasindu Marasinghe (Multi-Objective Optimization in Flat Glass Cutting Production), Braylon SHU (Efficient Parameter Tuning for Large Language Models), and Gaurav VERMA (Threats and Defenses in IoT Wireless Protocols). Grants include funding from the Australian Research Council, NSW Network for Cyber Security, and Google Research. His work spans collaborations with the NSW Smart Sensing Network and the University of Technology Sydney. Labs/Teams: Collaborates with the Centre for Distributed and High-Performance Computing and the NSW Smart Sensing Network (NSSN).

• Cybersecurity
• Mobile Systems Security
• AI in Security
• +3 more

J. Alex Halderman is the Bredt Family Professor of Computer Science & Engineering at the University of Michigan, directing both the Center for Computer Security and Society and the Michigan CSE Systems Lab. His work critically examines the societal impacts of security and privacy technologies through empirical research and policy engagement. Halderman's research spans computer security and privacy with emphasis on election integrity, censorship resistance, and the intersection of technology with law and policy. He investigates real-world vulnerabilities in systems ranging from voting infrastructure to encrypted communications, prioritizing measurable societal impact through forensic analysis and large-scale measurement studies. His publication record demonstrates consistent focus on high-stakes security challenges, particularly in democratic processes and user privacy. Notable contributions include internet-wide scanning tools (ZMap), forensic investigations of election systems, and foundational work on cryptographic vulnerabilities affecting global infrastructure. Scientific recognitions include: USENIX Security Best Paper Award (2024) USENIX Security Best Paper Award (2022) USENIX Security Best Paper Award and Internet Defense Prize (2022) IEEE Symposium on Security and Privacy Best Student Paper Award (2020) Pwnie Award for Best Crypto Attack (2016) ACM CCS Best Paper Award (2015) ACM IMC Applied Networking Research Prize (2015) ACM IMC Best Paper Award (2014) USENIX Security Best Paper Award and Test of Time Award (2012) USENIX Security PET Award Runner-up (2011) USENIX Security Best Student Paper Award (2008) Halderman advises a dynamic research group including current members Braden Crimmins, Erik Chi, and Dhanya Narayanan, with over two dozen alumni who have advanced the field. His leadership extends to developing practical security solutions like Let's Encrypt and conducting court-admissible forensic analyses of election systems. He directs the Michigan CSE Systems Lab, which pioneers research in computer systems security, and the Center for Computer Security and Society, which bridges technical research with policy impact through cross-disciplinary collaboration.

• Computer Security
• Privacy
• Election Cybersecurity
• +6 more

Shweta Jain is a Professor in the Department of Mathematics and Computer Science at John Jay College of Criminal Justice, part of the City University of New York (CUNY). She holds dual roles as Graduate Faculty in the Digital Forensics and Cyber Security program and Doctoral Faculty in Computer Science at CUNY's Graduate Center. With a Ph.D. in Computer Science from Stony Brook University (2007), her expertise spans Cybersecurity, Blockchain, Wireless Networks, and Software Development. Education Background: Ph.D. Computer Science, Stony Brook University, 2007 M.S. Computer Science, Stony Brook University, 2005 B.E. Electronics and Telecommunication Engineering, Indian Institute of Engineering Science and Technology (IIEST) Shibpur, 2005 Research Interests: Cybersecurity frameworks and digital forensics Blockchain applications in social systems Wireless network protocols and security Perceptual hashing for image authentication Network vulnerability analysis Notable Achievements: Recipient of 2014 IEEE Region-1 Award for Outstanding Teaching Senior Member of IEEE Over 30 peer-reviewed publications and patents in networks, forensics, and distributed systems Advising & Grants: Guided multiple student research projects in network security and forensics Developed innovative tools like E-Witness for digital evidence preservation Contributed to NSF-funded projects on wireless simulation realism Labs & Teams: Director of the Cybersecurity Research Lab at John Jay College Collaborates with WINLAB at Rutgers University on wireless protocols

• Cybersecurity
• Blockchain Technology
• Wireless Networks
• +6 more

Dr. Md Rashad Islam is an Associate Professor in the Department of Civil Engineering at Colorado State University Pueblo. He holds a Ph.D. in Civil Engineering from the University of New Mexico and an M.S. from the University of Minho (Portugal) and Technical University of Catalonia (Spain). His expertise spans pavement materials, transportation engineering, and material science, with a focus on asphalt concrete properties, pavement design, and fatigue analysis. Dr. Islam is a registered Professional Engineer (PE) and serves as an ABET Program Evaluator, contributing to academic accreditation standards. He has authored multiple textbooks, including Engineering Dynamics: Fundamentals and Applications (CRC Press, 2022) and Civil Engineering Materials: Introduction and Laboratory Testing (CRC Press, 2020). His research addresses sustainable infrastructure solutions, recycled materials, and pavement performance under dynamic loads. Education: Ph.D., Civil Engineering, University of New Mexico (201X) M.S., Civil Engineering, University of Minho & Technical University of Catalonia (201X) Research Interests: Pavement Materials & Fatigue Analysis Sustainable Asphalt Technologies Transportation Infrastructure Design Material Characterization & Performance Modeling Dr. Islam has published over 100 scholarly articles and serves as an editorial reviewer for several journals. His work emphasizes practical applications, such as roadway dynamics and environmental impacts on infrastructure. He collaborates with industry partners on projects involving recycled asphalt and pavement maintenance strategies.

• Civil Engineering
• Transportation Engineering
• Materials Science
• +3 more

Dr. Khandaker Mamun Ahmed is an Assistant Professor at The Beacom College of Computer & Cyber Sciences, Dakota State University. He teaches undergraduate and graduate courses in artificial intelligence, algorithms, and data structures. He holds a Ph.D. in Computer Science from Florida International University (2024), an M.Sc. from the same institution (2023), and a B.Sc. in Software Engineering from the University of Dhaka (2016). His research focuses on computer vision, federated learning, cybersecurity, explainable AI, vision-language models, and optimization algorithms. He has contributed to peer-reviewed publications and conference presentations, with notable work in federated learning for IoT, anomaly detection in videos, and AI applications in healthcare and agriculture. Recent articles highlight advancements in federated learning frameworks, AI-driven healthcare systems, and real-time object detection using neural networks. His work also addresses cybersecurity challenges in DevOps pipelines and generative AI for educational datasets. Recipient of the 'Best graduate student in research award' (2022), Dr. Ahmed advises on AI ethics and mentors students through academic-industry collaborations. His research bridges theoretical computer science with practical applications in agriculture, healthcare, and infrastructure monitoring.

• Computer Vision
• Federated Learning
• Cybersecurity
• +4 more