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Gaang Lee is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Alberta's Faculty of Engineering, where he joined in 2022 after earning his Ph.D. from the University of Michigan. His research pioneers 'sympathetic' built environments that enhance safety, health, productivity, and comfort for workers and users through integration of wearable biosensors, AI, extended reality, and robotics with psychophysiological theories. Education: Ph.D in Civil and Environmental Engineering, University of Michigan, Ann Arbor (2022) - Emphasis: Construction Engineering and Management; Graduate Certificate in Computational Discovery and Engineering Graduate Certificate in Computational Discovery and Engineering, University of Michigan, Ann Arbor (2022) M.S. in Architectural Engineering, Yonsei University, South Korea (2012) - Emphasis: Construction Engineering and Management B.S. in Architectural Engineering, Yonsei University, South Korea (2010) Dr. Lee combats technological exclusion for marginalized groups (construction workers, older adults) by developing empathetic technologies for workplaces, buildings, and urban spaces. His work applies human sensing, AI, and digital twins to create environments that adapt to diverse human needs, with key projects spanning psychophysiological safety monitoring, human-robot collaboration, and inclusive urban design. He integrates psychophysiological and socio-cognitive theories to address real-world gaps in construction engineering and computer science. His recent publications (2023-2025) reveal strong trends in AI-driven safety hazard identification, biosensor-based stress/fatigue monitoring, and virtual reality for construction team dynamics. A critical emerging focus is equity-centered technology design, with increasing publications addressing inclusive built environments and technological access for vulnerable populations through graph-based algorithms, domain adaptation, and interpretable AI models. Scientific Awards: No awards mentioned in the provided text. Dr. Lee actively recruits students for his 'Empathetics' research group starting in 2026, prioritizing candidates with empathy, research motivation, and commitment to diversity and inclusion. While specific grants are not detailed, his research program receives institutional support from the University of Alberta and likely external funding given its interdisciplinary scope and industry relevance. He leads the 'Empathetics' research group (part of Attentive Hub) which emphasizes diversity as fundamental to innovation. Current projects include psychophysiological monitoring for occupational safety, trustable human-robot collaboration systems, and extended reality frameworks for empathetic built environments. The group collaborates with IHT LAB (https://www.iht-lab.com/) and focuses on deploying technologies that make daily surroundings safe, healthy, and truly inclusive for all individuals.

• Construction Engineering
• Built Environment
• Human Factors
• +5 more

Sally Pusede is an Associate Professor in the Department of Environmental Sciences at the University of Virginia's College of Arts & Sciences, where she directs atmospheric chemistry research and co-leads the Repair Lab. Her work bridges atmospheric science and environmental justice through measurements from ground, aircraft, and satellite platforms in urban and agricultural environments. Dr. Pusede earned her Ph.D. from the University of California Berkeley in 2014. Her educational background established the foundation for her interdisciplinary approach combining chemical measurements with community engagement. As an atmospheric chemist, Pusede investigates reactive nitrogen cycles, greenhouse gas emissions (particularly nitrous oxide), and neighborhood-level air pollution disparities. Her research employs spatial and temporal variability analysis to derive mechanistic insights into urban atmospheric processes, with emphasis on how pollution adversely affects human health and ecosystems. She is co-director of UVA's Repair Lab, which develops community-based solutions to environmental justice issues like coal dust pollution in Hampton Roads and industrial swine facility impacts in North Carolina. Analysis of her 15 most recent publications (2022-2025) reveals three dominant research thrusts: 1) Quantifying air pollution inequality using satellite remote sensing (especially nitrogen dioxide and ammonia), 2) Investigating reactive nitrogen chemistry in urban-agricultural interfaces, and 3) Developing community-driven repair frameworks for environmental justice. Her work consistently demonstrates how neighborhood-level pollution disparities contribute to health outcomes and ozone formation, particularly in communities of color. Dr. Pusede's scientific contributions have been recognized with prestigious awards including: Presidential Early Career Award for Scientists and Engineers (PECASE), Biden Administration, 2024 Future Horizons in Climate Science Turco Lectureship, American Geophysical Union, 2022 National Science Foundation (NSF) CAREER Award, 2021 NASA New Investigator Program Award, 2021 Environmental Sciences Organization Faculty Teaching Award, University of Virginia, 2016 She mentors graduate students through the Pusede Lab while securing major grants from NSF, NASA, and the White House Office of Science and Technology Policy. Her teaching portfolio includes EVSC 4380 (Air Pollution and Environmental Justice), EVSC 4490/7490 (Air Pollution), EVSC 5350 (Atmospheric Chemistry), and EVSC 3300 (Atmosphere and Weather). The Repair Lab operates as an interdisciplinary environmental justice hub where Pusede collaborates with community practitioners, embedding researchers in Virginia communities through its practitioner-in-residence program. This lab focuses on coal dust pollution in Hampton Roads and industrial swine facility impacts in Eastern North Carolina, using satellite data to document environmental injustices while co-developing solutions with affected residents.

• Atmospheric Chemistry
• Air Quality
• Environmental Justice
• +5 more

Marco Aurélio Gerosa is a Professor at Northern Arizona University and was previously an Associate Professor at the University of São Paulo (USP), Brazil . He is affiliated with the School of Informatics, Computing, and Cyber Systems (SICCS) at NAU and the Department of Computer Science at USP. His research focuses on the Human Aspects of Software Engineering , including Software Engineering Education , Computer Supported Cooperative Work (CSCW) , and AI-Assisted Software Engineering . He has published extensively on topics such as Open Source Software development, Bots and Chatbots in software engineering, and Mining Software Repositories techniques. His recent work explores Using Large Language Models (LLMs) for educational purposes in programming, data science, and software engineering Developing chatbots to facilitate newcomer onboarding to OSS projects Investigating the evolution of Integrated Development Environments (IDEs) Assessing the impact of software bots on projects Understanding how to design effective chatbot languages Dr. Gerosa has received numerous scientific awards, including ACM SIGSOFT Distinguished Paper Award Best paper awards at ICSE and International Symposium on Open Collaboration IEEE Computer Society TCSE Distinguished Paper and Service Awards Productivity grants from CNPq (Brazilian Council for Scientific and Technological Development) He has graduated numerous PhD students who are now researchers in top institutions worldwide and has been a mentor to many more at various levels. His research projects have secured over USD 1 million in funding. Dr. Gerosa is also involved in the development of tools and environments for software engineering, including MetricMiner for repository analysis and various gamification platforms to enhance developer engagement. He brings over 25 years of teaching experience across multiple universities, teaching courses ranging from Introduction to Programming to Advanced Topics on Web Development and Collaborative Systems Development.

• Human Aspects of Software Engineering
• Software Engineering Education
• Computer Supported Cooperative Work (CSCW)
• +7 more

Nicole L. Beebe is a Professor at the Alvarez College of Business, The University of Texas at San Antonio , specializing in cybersecurity, cyber analytics, and digital forensics. With over two decades of experience spanning academia, government, and industry, she has contributed extensively to research on insider threats, IoT security, and threat hunting. Ph.D. in Business Administration (Information Technology), UTSA MS in Criminal Justice, Georgia State University BS in Electrical Engineering, Michigan Technological University Her research explores cybersecurity challenges in emerging technologies, including quantum computing, IoT, and large language models. She has pioneered studies on cyberbullying dynamics, forensic automation, and AI-driven threat detection. Recent publications focus on adversarial image obfuscation , VR for security operations , IoT forensic methodologies , and deepfake detection frameworks , reflecting interdisciplinary work at the intersection of security, AI, and digital evidence. 2022 Best Paper Award, Journal of Network & Computer Applications Senior Member, IEEE and ACM Senior Fellow, Information Systems Security Association As an Associate Editor for Computers & Security , she shapes the field through peer review. Her $14M+ in funding from NSF, DHS, and DoD underscores her impact on advancing cybersecurity research and education.

• Cybersecurity
• Cyber Analytics
• Digital Forensics
• +4 more

Alessandra Pesce is an Associate Professor at the Department of Physics (DIFI) of the University of Genoa, Italy. Her research focuses on structural biology of globins, protein aggregation, and cold-adapted enzymes, with applications in life sciences, environmental monitoring, and cultural heritage preservation. She teaches Applied Physics and Biophysics at both undergraduate and graduate levels in Physics and Biological Sciences. Her work spans from atomic-level characterization of protein crystals using Atomic Force Microscopy to large-scale ecological projects like the LIFE+ WHALESAFE initiative for sperm whale conservation through acoustic monitoring. Email: alessandra.pesce@unige.it Phone: +39 010 33 56243 Research Interests: Structural characterization of hexa-coordinated globins in marine organisms Thermodynamic and kinetic analysis of truncated hemoglobins in pathogenic bacteria Quaternary structure adaptations in Antarctic enzymes Development of acoustic monitoring systems for marine mammal conservation Protein aggregation mechanisms in amyloid-related diseases Publication Trends: Over 15 years, her research demonstrates expertise in combining X-ray crystallography with biophysical techniques to study globin family proteins across diverse species (from nematodes to whales). Key themes include heme reactivity modulation, ligand diffusion pathways, and structure-function relationships in extremophile proteins, with recent emphasis on marine conservation technology.

• Biochemistry
• Structural Biology
• Molecular Biophysics
• +4 more

Prof. Dr. Johannes Wolf is a Professor of Business Administration (Dual Study Program) at the Hamburg Distance Learning University (since 2012) and previously served as Chancellor of the university (2013–2020). He also held roles as Professor of Logistics Management and (Founding) Dean of the Logistics Management Department at the European University of Applied Sciences (EUFH) in Brühl. His career includes over 30 years of academic and professional experience in logistics, supply chain management, and business systems. Education: Johannes Wolf holds a doctorate in Business Administration from Fernuniversität Hagen (1986) with a thesis on industrial energy use and production planning, following a degree in Business Administration from the University of Cologne. Research interests focus on logistics management, supply chain optimization, ERP system implementation, dual study programs, and educational frameworks for business and logistics disciplines. He has contributed to over 50 publications, including handbooks and peer-reviewed articles on topics like IT systems in logistics, risk management, and competency development. He is a member of the Federal Association of Logistics (BVL) and the German Informatics Society (GI), and has served as an external expert for institutional accreditation reviews by the German Science Council. Key professional roles include management consultancy work (1993–2003) and early career roles in organizational controlling and energy procurement in industry.

• Business Administration
• Logistics Management
• Supply Chain Management
• +4 more

Prof. Venkat N. Krovi serves as the Michelin Endowed Chair Professor of Vehicle Automation in the Departments of Automotive Engineering and Mechanical Engineering at Clemson University's College of Engineering, Computing and Applied Sciences (CECAS). He directs the Automation, Robotics and Mechatronics Laboratory (ARMLab) at the International Center for Automotive Research (CU-ICAR), focusing on smart embedded systems for autonomy in challenging environments. He earned his Ph.D. in Mechanical Engineering and Applied Mechanics from the University of Pennsylvania in 1998. His research leverages distributed autonomy and human-robot synergy to extend human capabilities, with applications spanning plant automation, consumer electronics, automobile, defense, and healthcare. The work emphasizes lifecycle treatment (design through verification) of robotic systems under uncertainty. Recent publications (2024-2025) demonstrate strong trends in digital twin frameworks for autonomous vehicle validation, sim2real transfer via reinforcement learning, and integration of large language models for editable simulations. Key themes include scalable cloud-based architectures, Koopman operator theory for robustness, and containerization for reproducible robotics development. His accolades include: National Science Foundation (NSF) CAREER Award Petro-Canada Young Innovator Award Multiple best paper awards at conferences and journals ASME Dedicated Service Award (2024) Prof. Krovi has advised doctoral students including Dr. Srivatsan Srinivasan (2024). His research receives substantial funding from NSF, DARPA, ARO, and industrial partners like Michelin. He leads the NSF I/UCRC RoSeHuB center and the AutoDRIVE ecosystem for autonomous driving education. As ARMLab director, he oversees projects including OpenCAV, the Robotics for AV Systems Bootcamp, and containerized terramechanics simulations. The lab specializes in mechatronic design, verification/validation frameworks, and human-autonomy coexistence studies for next-generation mobility solutions.

• Robotics
• Autonomous Vehicles
• Human-Robot Interaction
• +5 more

Dr. Kirill Zaychik is a Research Professor in the Department of Mechanical Engineering at Binghamton University (SUNY). He holds an M.S. in Aerospace Engineering from the Moscow Institute of Physics and Technology (2001) and a Ph.D. in Mechanical Engineering from Binghamton University (2009). His career includes industry experience at Bombardier Aerospace (Montreal, Canada) focusing on Fly-by-Wire Control Systems before joining academia in 2012. Education: M.S., Aerospace Engineering, Moscow Institute of Physics and Technology (2001) Ph.D., Mechanical Engineering, Binghamton University (2009) His research interests span human perceptual systems, man-machine interaction, control systems design, and machine learning applications. Key areas include flight/vehicle simulation, human-in-the-loop modeling, and parameter estimation using numerical methods. He has contributed to projects for NASA and the U.S. Airforce, authoring 19 technical papers. Dr. Zaychik’s publications (2003–2023) focus on advancing control systems, human operator modeling, and simulation technologies. Recent work explores real-time pilot identification via biometrics and adaptive control algorithms. Earlier studies addressed turbulence simulation, vection phenomena, and simulator sickness mitigation. While no scientific awards are mentioned, his research demonstrates significant industry-academic collaboration. He has advised no listed students but contributes to curricula like ME 212 (Mechanical Engineering Programming). No affiliated labs/teams are explicitly noted, though his work aligns with aerospace and mechanical engineering systems research at Binghamton’s Watson School.

• Human perceptual system
• Man-Machine system interaction
• Human-in-the-loop modeling
• +7 more

Josh Bongard is a Professor in the Department of Computer Science at the University of Vermont, within the College of Engineering and Mathematical Sciences. He holds the Cyril G. Veinott Green and Gold Professorship and directs the Morphology, Evolution & Cognition Laboratory. He earned his Ph.D. from the University of Zurich. Affiliations: University of Vermont, Department of Computer Science, College of Engineering and Mathematical Sciences. Education: Ph.D. in Computer Science from the University of Zurich. His research focuses on evolutionary robotics, embodied intelligence, and synthetic biology. Key projects include developing soft robots, Xenobots (biological machines), and exploring how morphology influences cognition. His work bridges robotics, biology, and artificial intelligence, emphasizing adaptability and resilience. Recent articles highlight advancements in shape-changing robots, self-replicating organisms, and the ethical implications of machine behavior. He has pioneered methods for co-optimizing robot morphology and control systems, enabling more efficient and adaptive designs. Awards: Presidential Early Career Award for Scientists and Engineers (PECASE, 2010) Microsoft Research New Faculty Fellowship (2007) MIT Technology Review's Top 35 Innovators Under 35 (2007) Cozzarelli Prize He advises graduate students in robotics and teaches courses like Evolutionary Robotics and Human-Computer Interaction. His lab collaborates with NASA, NSF, and DARPA, advancing robotics through biologically inspired approaches. Future work includes developing systems that integrate biological and computational principles for novel applications. His book How the Body Shapes the Way We Think explores embodied cognition, and he directs outreach programs like Twitch Plays Robotics to engage the public in robotics innovation.

• Evolutionary Robotics
• Artificial Intelligence
• Machine Learning
• +4 more

Vishal Verma is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Illinois. His research focuses on understanding the sources, chemical composition, and health impacts of atmospheric particulate matter (PM2.5), particularly its oxidative potential. He has contributed to studies on urban air pollution, combustion emissions, and indoor/outdoor environmental monitoring. Key research areas include: Quantifying oxidative potential of aerosols and its relationship with human health Investigating emission sources of PM2.5 in urban environments (e.g., Kuwait, Delhi) Developing novel measurement techniques for real-time aerosol analysis Exploring the impact of atmospheric aging on aerosol toxicity Notable achievements include the NSF CAREER Award (2019) for integrating education and research on particulate matter toxicity. His work has been featured in high-impact journals like Nature Communications and Environmental Science & Technology . Collaborations span global institutions, emphasizing international research networks. Verma’s contributions extend to public health applications, such as studies on N95 mask sanitization using electric cookers and microwave decontamination methods. His research bridges environmental engineering, toxicology, and policy, addressing critical global challenges like climate change and urban air quality.

• Air Pollution
• Environmental Engineering
• Atmospheric Chemistry
• +7 more

Professor Minh N. Do is the Thomas and Margaret Huang Endowed Professor in Signal Processing & Data Science at the University of Illinois at Urbana-Champaign (UIUC), with primary appointment in the Department of Electrical and Computer Engineering. He holds multiple affiliate appointments across campus including with the Coordinated Science Laboratory, Beckman Institute for Advanced Science and Technology, Department of Bioengineering, Department of Computer Science, Institute for Genomic Biology, College of Medicine, and School of Computing and Data Science. Additionally, he serves as Director of the joint VinUni-Illinois Smart Health Center and holds an Honorary Vice-Provost position at VinUniversity. Professor Do received his B.Eng. in Computer Engineering (First Class Honors) from the University of Canberra, Australia in 1997, followed by his Dr.Sci. in Communication Systems from the Swiss Federal Institute of Technology Lausanne (EPFL) in 2001. His educational journey was marked by exceptional achievement, earning the University Medal from the University of Canberra and a Silver Medal from the 32nd International Mathematical Olympiad. Professor Do's research focuses on developing new multidimensional signal processing tools with applications across several domains. His primary research interests include smart health, data science, computational imaging, and signal processing. His work spans biomedical imaging, machine learning, computer vision, and robotics, with particular emphasis on geometric image representations, integrating image formation and processing, and image processing from multiple sensors. His research bridges theoretical investigations with practical applications, creating impactful solutions in healthcare, diagnostics, and AI systems. His recent publications demonstrate a consistent trajectory toward multimodal AI systems, robust learning frameworks, and healthcare applications. Professor Do's work increasingly integrates signal processing with deep learning approaches to address challenges in medical imaging, cross-modal transfer, and real-world deployment of AI systems. His research shows strong emphasis on practical applications with societal impact, particularly in healthcare diagnostics and smart health technologies. Professor Do's scientific achievements have been recognized with numerous prestigious awards: Member of the National Academy of Artificial Intelligence (2025) Fellow of Asia-Pacific Artificial Intelligence Association (2023) Thomas and Margaret Huang Endowed Professor, UIUC (2020-present) Fellow of IEEE (2014) Young Author Best Paper Award, IEEE Signal Processing Society (2008) CAREER award from the National Science Foundation (2003) Best Doctoral Thesis Award from EPFL (2001) As an educator, Professor Do has taught numerous courses spanning digital signal processing, probability, data science, and image processing. His teaching excellence has been recognized with multiple "Teachers Ranked as Excellent" awards at UIUC. He also maintains active industry connections through tech-transfer efforts, having co-founded Personify and served as Chief Scientist of Misfit. His leadership extends to administrative roles, having served as Vice-Provost for VinUniversity during 2020-2021. Professor Do leads research initiatives at the intersection of signal processing and healthcare applications, with particular focus on the Smart Health Center collaboration between UIUC and VinUniversity. His lab develops innovative solutions for medical diagnostics, point-of-care testing, and neurological assessment using advanced signal processing and AI techniques.

• Signal Processing
• Computational Imaging
• Data Science
• +5 more

Jonas Stålhand is a Professor at Linköping University, affiliated with the Department of Management and Engineering (IEI) and the Division of Solid Mechanics (SOLMEK). His research focuses on biomechanics, smart textiles, haptic technologies, and cardiovascular mechanics. He leads interdisciplinary projects such as a study on pain relief using smart textile garments, combining neuroscience, materials science, and biomechanics. His work spans arterial wall mechanics, wearable haptic systems, and biomaterial characterization. Recent projects include parameter identification in arteries and the development of electroactive yarn actuators for wearable applications. Collaborations involve multidisciplinary teams across engineering, medicine, and textile science. Research interests emphasize translating biomechanical insights into clinical and industrial applications. Notable contributions include studies on aortic stress analysis, acetabular cup stability, and electroactive polymer-based actuators. His publications address both fundamental and applied aspects of soft tissue mechanics and medical engineering. No scientific awards are explicitly listed, but his work has been highlighted in university news for its innovative potential in healthcare and technology.

• Biomechanics
• Medical Engineering
• Materials Science
• +3 more

Dr. Agnieszka Kanas is an Associate Professor of Public Policy and Politics at the Erasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam. Her research focuses on social inequality, immigrant integration, public policy, and labor market disparities. She examines how individual resources and institutions interact to shape ethnic and gender inequalities, particularly in Europe. She teaches courses on migration, public policy, and social inequalities at BA and MA levels. Research Interests: Stratification and social inequality Immigrant economic disadvantage and integration Public policy evaluation Labor market institutions and family policies Causal effects of policy interventions on refugees Recent Research Trends: Her work emphasizes policy impacts on refugee integration (e.g., language courses), non-cognitive skills’ role in labor markets, and ethno-religious conflicts’ effects on religiosity among refugees. She uses natural experiments and comparative studies across Europe and Southeast Asia. Activities: Consultancy: Advisory committee for the LOCOV project (2023) Invited Talks: Expert Workshop on Intra-EU Mobility (2022) Conference Participation: ESPAnet conferences (2023) Labs/Teams: Collaborates widely on migration and inequality studies, with partnerships in Germany, Indonesia, and the Philippines.

• Social Inequality
• Immigration and Integration
• Public Policy Analysis
• +4 more

Dr. Eric Hekler is a Professor at the Herbert Wertheim School of Public Health & Human Longevity Science at UC San Diego. His work integrates health psychology, design, systems science, and public health to advance equitable solutions for societal and planetary health. He holds active NIH funding as a Principal Investigator and Co-Investigator, including NIH R01 grants. His research focuses on precision health, digital health interventions, and behavior change, leveraging control systems engineering and agile methodologies. Education: B.A. Psychology (University at Albany, 1998), M.S. and Ph.D. in Clinical Health Psychology (Rutgers University, 2004/2008), Postdoctoral Fellowship in Preventive Medicine at Stanford University (2011). Research Interests: Precision health, human-centered design, community-powered design, systems science, health equity, climate change impacts on health, and digital health innovation. His work emphasizes transdisciplinary approaches to address complex health behaviors and systems. Key Projects: 'Optimizing Individualized mHealth Interventions via Control Systems Engineering' (NIH R01CA244777, PI), 'HeartSteps' (adaptive physical activity intervention), and 'SMART 2.0' (weight reduction trial). He co-leads the Agile Science Design Lab, advancing iterative and participatory research methods. Grants & Funding: NIH R01, T32, and U01 grants totaling over $10M, focusing on behavioral interventions, data analytics, and health systems. Collaborations include interdisciplinary teams in engineering, computer science, and public health. Labs/Teams: Co-director of the Agile Science Design Lab at UCSD, fostering transdisciplinary innovation in health science methods and digital tools.

• Precision Health
• Human-Centered Design
• Public Health
• +7 more

Ming Li is a Professor of Electrical and Computer Engineering at Duke Kunshan University's Division of Natural and Applied Science, and a Principal Research Scientist at the Digital Innovation Research Center. He holds an adjunct position as a Professor at Wuhan University's School of Computer Science. His research focuses on audio/speech processing, multimodal behavior signal analysis, and applications in autism spectrum disorder diagnosis. Li has over 200 publications and serves on editorial boards of journals like IEEE Transactions on Audio, Speech and Language Processing. Education: Ph.D. in Electrical Engineering from the University of Southern California (2013). Awards include the IBM Faculty Award (2016), ISCA 5-Year Best Paper Award (2018), and Youth Achievement Award (2020). He leads initiatives in anti-spoofing countermeasures, voice conversion, and speech synthesis. Recent Courses: Random Signals and Noise Speech Recognition Data Science Key Research Contributions: Development of datasets like KunquDB, TMCSpeech, and systems for speaker verification, deepfake detection, and autism diagnosis tools. His work bridges signal processing with clinical applications, leveraging AI for social interaction improvement in neurodiverse populations.

• Audio and Speech Processing
• Multimodal Behavior Signal Analysis
• Speech Synthesis
• +3 more