Professor Haijiang Li is a Chair in BIM for Smart Engineering at Cardiff University's School of Engineering. His roles include leading the Computational Mechanics and Engineering AI Research Group, directing the BIM for Smart Engineering Centre, and overseeing the BIM MSc programme. He holds editorial roles for journals like Construction Innovation and Automation in Construction , and chairs the European Group of Intelligent Computing in Engineering (EG-ICE). Research focuses on smart computational engineering platforms integrating BIM, AI, and big data for sustainable infrastructure. Key areas include digital twins, disaster management, and resilient urban systems. He has secured £40M in research funding, including £9M as PI, and led over 70 research staff and students. Prof. Li is a Standards Committee Technical Executive at buildingSMART, driving international BIM standards. His work includes co-authoring a book on BIM standards across China, the US, and the UK. Awards include Fellowships from the British Computer Society (FBCS) and the Higher Education Academy (FHEA). His research outputs span over 250 publications, covering topics like AI-driven bridge maintenance, ontology-based decision-making, and energy-efficient urban systems. Collaborations with industry and global partners emphasize practical applications of BIM and smart technologies.
Ali Feizmohammadi is an Assistant Professor, Teaching Stream (LTA) in the Department of Mathematics at the University of Toronto Mississauga, affiliated with the Mathematical and Computational Sciences division. His research focuses on inverse problems, partial differential equations, and geometric analysis. He holds a position emphasizing teaching excellence within the university's framework. His work addresses advanced mathematical challenges such as coefficient identification in subdiffusion equations, fractional Laplacian problems on Riemannian manifolds, and nonlinear elliptic equations on manifolds. Recent articles highlight contributions to the Calderón problem in various contexts, wave equation control, and spacetime finite element methods. No scientific awards or grants are explicitly listed in the provided information. He has not yet listed advisees in the available data. His research trends emphasize rigorous mathematical analysis of inverse problems in both classical and fractional PDE frameworks, with applications to geometric and control-theoretic questions. Dr. Feizmohammadi's work spans theoretical advancements in inverse problems, numerical methods for control systems, and the interplay between differential geometry and PDEs. His contributions address both fundamental theory and applied methodologies in mathematical physics and engineering.
Pinchuan Ong is an Assistant Professor in the Strategy and Policy Department at the National University of Singapore (NUS) Business School. He holds dual bachelor’s degrees from NUS (B.Eng. and B.Soc.Sci.) and a Ph.D. in Economics from Northwestern University. Prior to academia, he worked as an economist at Singapore’s Ministry of Trade and Industry. His research focuses on labor economics, public economics, and applied microeconomics. Key areas include labor supply disincentives from child support obligations, taxation effects on labor participation, automation’s impact on labor markets, and the socioeconomic consequences of energy pricing on health outcomes. He has investigated winter mortality linked to heating costs and housing market risks influencing labor demand. Recent research trends emphasize policy-relevant analyses of taxation, automation, and public goods provision. His work bridges theoretical economic frameworks with empirical policy evaluation, often addressing labor market dynamics and welfare outcomes. Ong’s upcoming speaking engagements include the Hong Kong Labor Symposium (June 2024), ROCKWOOL Foundation visits in Berlin, and the BSE Summer Forum in Barcelona. He is open to collaborations during these travels. His full CV and publications are accessible via his personal webpage.
Steven Rogak is a Professor in the Department of Mechanical Engineering at the University of British Columbia's Faculty of Applied Science. He holds a P.Eng. license and degrees including a B.A.Sc. in Mechanical Engineering from UBC, and M.Sc. and Ph.D. from Caltech. P.Eng., University of British Columbia B.A.Sc., University of British Columbia M.Sc., Ph.D., California Institute of Technology His research focuses on aerosol science, particularly solid nanoparticles from combustion processes, their climate and health impacts, and mitigation strategies. Key areas include: Soot morphology and transport properties Engine emission reduction via fuel injectors Indoor air filtration systems Membrane-based energy exchangers Atmospheric particulate analysis The 15 most recent articles span experimental and theoretical studies on soot characterization, membrane technologies, and aerosol dynamics, with applications in climate modeling, healthcare ventilation, and sustainable materials. Collaborations include Westport Innovations and interdisciplinary teams. Rogak leads the Aerosol Laboratory at UBC, where he applies fluid mechanics and heat transfer fundamentals to address environmental and health challenges. He emphasizes experimental rigor and welcomes graduate students with expertise in these areas.
Dr. Ng How Yong is an Assistant Professor at the Department of Civil and Environmental Engineering, National University of Singapore (NUS). He specializes in membrane science and wastewater treatment technologies, with a focus on membrane fouling mitigation and bioelectrochemical systems. His research integrates membrane bioreactors, anaerobic/aerobic processes, and microbial sensors for sustainable water reclamation and industrial wastewater management. Education: BEng/MEng (Civil Engineering, NUS, 1997/2000), Ph.D. (Environmental Engineering, UC Berkeley, 2002) Research interests include membrane separation processes, microbial fuel cell-based sensors for heavy metal detection, and energy recovery from wastewater. He has pioneered advancements in anaerobic ceramic membrane bioreactors and forward osmosis technologies. Key contributions span over 50 peer-reviewed publications, focusing on optimizing biological treatment systems, understanding fouling mechanisms, and developing novel desalination processes. His work bridges fundamental science and engineering applications, addressing global water scarcity challenges. Awards: IWA Fellow (2012), NUS Young Researcher Award (2009), Singapore Youth Award (2008) Dr. Ng has led multiple international conferences, including the 8th IWA Specialist Conference on Membrane Technology (2017) and the 3rd Asia-Pacific Young Water Professional Conference (2010). He serves on editorial boards of Water Research , Journal of Water Reuse and Desalination , and the International Water Association committees.
Alexander Manevitz is an Assistant Professor at the Weissman School of Arts and Sciences, Baruch College (City University of New York), specializing in African American history, 19th-century U.S. history, and historical memory. His research explores urbanism, race, and capitalism, particularly through the lens of Seneca Village, a free Black community displaced during Central Park’s creation. Education: Ph.D., U.S. History, New York University (2016) B.A., History, Trinity College (Hartford) His research focuses on the intersection of race, property regimes, and urban development in antebellum New York City. He is currently finalizing a book manuscript with Cornell University Press titled The Rise and Fall of Seneca Village: Remaking Race and Space in Nineteenth-Century New York City , analyzing how marginalized communities navigated systemic discrimination and urban transformation. Manevitz’s recent publications and media contributions examine themes like urban capitalism, Reconstruction’s legacy, and archival recovery. His 2022 article in the Journal of Urban History investigates racial and economic inequalities in 19th-century New York City, while his 2020 Washington Post piece connects Reconstruction-era failures to contemporary racial justice issues. Scientific Awards: Robert Friedman Professor of American History (2024) Faculty Fellowship Publication Program (CUNY, 2023) Bernard and Irene Schwartz Postdoctoral Fellow (2019) Junior Faculty Research Fellowship (Trinity College, 2017) Bessie and George Levy Award for Excellence in American History (2014) Manevitz teaches courses in American history, African American history, and urban capitalism, employing interdisciplinary methods to amplify diverse voices. He has collaborated with institutions like the Metropolitan Museum of Art and the New-York Historical Society, emphasizing public scholarship and community engagement.
Joydeep Biswas is an Associate Professor in the Computer Science Department at the University of Texas at Austin, where he serves as the Director of the Autonomous Mobile Robotics Laboratory (AMRL). He is also affiliated with Texas Robotics, the UT Machine Learning Laboratory, and UT Good Systems. Previously, he was an Assistant Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst. Dr. Biswas earned his PhD in Robotics from Carnegie Mellon University in 2014 and his B.Tech in Engineering Physics from the Indian Institute of Technology Bombay in 2008. His educational background has provided him with a strong foundation in both theoretical and applied aspects of robotics and artificial intelligence. Dr. Biswas's research focuses on enabling long-term autonomy for mobile robots operating in human environments. His work spans robot perception, motion planning, control systems, and AI, with the ultimate goal of creating self-sufficient autonomous mobile robots that can perform tasks accurately and robustly in real-world settings. He is particularly interested in perception, planning, and failure recovery for autonomous mobile robots, which supports his vision of having autonomous service mobile robots deployed at campus-to-city scale, both indoors and outdoors, performing assistive tasks over deployments spanning years. His IJCAI 2019 Early Career Spotlight talk summarizes much of his research to date and ongoing interests. His recent research has shown a strong trend toward social navigation, human-robot interaction, and the application of machine learning techniques to robotics problems. There's a clear progression from fundamental robotics research toward more complex, real-world applications that require robots to understand and navigate human social spaces effectively. His work increasingly integrates large language models and other advanced AI techniques with traditional robotics approaches, as evidenced by his recent publications on topics like preference-conditioned navigation, social navigation benchmarks, and instruction-following navigation systems. Dr. Biswas has received numerous prestigious awards including the NSF CAREER Award (2021), J.P. Morgan Faculty Research Award (2019), Amazon Research Award (2019), and a grant from Northrop Grumman Mission Systems (2018). These awards recognize his innovative contributions to the field of robotics and autonomous systems. As a dedicated educator and mentor, Dr. Biswas actively supervises PhD and master's students, with his PhD student Sadegh Rabiee winning the student poster award at the Northrop Grumman University Symposium 2019. He has secured significant grant funding from the National Science Foundation for projects including 'Introspective Perception and Planning for Long-Term Autonomy' and 'Interactive Synthesis and Repair For Robot Programs,' demonstrating his ability to secure competitive research funding and his commitment to advancing the field. Dr. Biswas leads the Autonomous Mobile Robotics Laboratory (AMRL), which serves as a hub for interdisciplinary research in mobile robotics. The lab has developed notable resources such as the UT Campus Object Dataset (CODA) for 3D perception research and SOCIALGYM, a framework for benchmarking social robot navigation. His team regularly deploys robots on the UT Austin campus and in urban environments to test and refine their approaches in realistic settings, bridging the gap between simulation and real-world application.
Carol Smith is an Associate Professor in the Department of Soil & Physical Sciences at Lincoln University, New Zealand, where she serves as Head of Department since 2017. She has been an elected academic staff member of the Lincoln University Council from 2018-2022. Dr. Smith holds a PhD from the University of Aberdeen, an MSc from the University of Reading, and a BSc(Hons) from the University of Portsmouth, forming the foundation of her expertise in soil science and physical geography. Her research spans both fundamental and applied aspects of pedology. On the fundamental side, she investigates Quaternary pedology and paleoenvironmental reconstruction using loess stratigraphy, geomorphology, and micromorphology, which provides critical data for verifying future climate change predictive models. Applied research focuses on sustainable use of recycled organic matter and rehabilitation of degraded soils. She collaborates internationally on multidisciplinary projects involving paleoclimate reconstruction, paleoliquefaction, Antarctic soils, and viticulture. Dr. Smith is passionate about teaching and science communication, employing experiential learning methods to develop practical field skills in soil science through 'soil judging competitions' in New Zealand and Australia. Her research addresses UN Sustainable Development Goals including Life on Land (15), Climate Action (13), and Quality Education (4). Among her notable recognitions are the Norman H Taylor Memorial award 2020 from the New Zealand Society of Soil Science for outstanding contributions to soil science in New Zealand and Fellowship in the Royal Geographical Society, London. She serves as Associate Editor of Natural Sciences Education and was previously editor of Quaternary Australasia. Dr. Smith has supervised numerous graduate students through research-based supervision, with completed projects covering diverse topics from soil patterns in Southland to Antarctic soil ecology. She teaches advanced courses in field research, soil science, and physical landscapes, and has developed innovative approaches to teaching during the pandemic, including virtual field trips.
Yvonne Rogers is a Professor of Interaction Design and Director of the UCL Interaction Centre (UCLIC), with a joint appointment as Deputy Head of the Department of Computer Science at University College London. She joined UCL in 2011 after holding professorships at the Open University (2006-2011) and Indiana University (2003-2006). Her pioneering work spans ubiquitous computing, interaction design, and human-computer interaction, with a current focus on human-centered AI. She co-authored the definitive 'Interaction Design' textbook (6 editions, 300,000+ copies) and serves as CTO of LetThink.com. Research interests center on designing technologies that enhance human cognition and daily activities: Ubiquitous Computing: Augmenting learning/work activities through pervasive technologies Human-AI Interaction: Developing AI systems that enhance human decision-making Health Technologies: Creating VR therapies and ADHD support systems Community Resilience: Designing tools for environmental monitoring and sustainable practices Publication analysis reveals three dominant trends: (1) VR applications for mental health (emotion regulation, ADHD support), (2) AI systems for cognitive augmentation, and (3) community-centered tools for healthcare/environmental challenges. Recent work demonstrates strong emphasis on vulnerable populations including children with ADHD, older adults, and postoperative patients. Major scientific recognition includes: International Member, National Academy of Engineering (2024) ACM SIGCHI Lifetime Research Award (2022) Royal Society Robin Milner Medal (2022) Royal Society Fellowship (2022) Microsoft Outstanding Collaborator Award MRC Suffrage and Science Award (2020) Triple Fellow status (ACM, BCS, CHI Academy) Advises PhD students including Leon Reicherts, Sheena Visram, and Tu Duong. Secured major grants including EPSRC Dream Fellowship on ageing/computing and led the Intel Collaborative Research Institute on Sustainable Connected Cities (2012-2018). Directs UCLIC research center and previously established the Pervasive Interaction Lab at Open University.
Jakob Schoeffer is a tenure-track Assistant Professor in the Artificial Intelligence department at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, Faculty of Science and Engineering, University of Groningen (Netherlands). His work focuses on the intersection of human decision-making and artificial intelligence, particularly in high-stakes contexts where fairness, transparency, and appropriate human-AI collaboration are critical. Dr. Schoeffer's research interests center on responsible and explainable AI, with specific focus areas including: Human-AI collaboration dynamics in decision-making processes Fairness perceptions and interventions in AI systems Appropriate reliance on AI recommendations Explainable AI techniques for high-stakes domains Transparency mechanisms that improve human-AI team performance Label indeterminacy issues in medical AI applications His recent publications (2023-2025) reveal a strong trend toward applying AI research in critical domains like healthcare (particularly neurological recovery prediction), while maintaining a rigorous focus on the human aspects of AI deployment. His work spans both theoretical foundations of human-AI interaction and practical implementations, often employing mixed-methods approaches that combine technical AI development with behavioral studies. Dr. Schoeffer actively collaborates with researchers across institutions including the University of Texas at Austin and has made significant contributions to top conferences in AI ethics, fairness, and human-computer interaction. His research has been featured in multiple news outlets and policy discussions, indicating real-world impact of his work on responsible AI development. Prior to his current appointment, Dr. Schoeffer was a Postdoctoral Research Fellow at the University of Texas at Austin. He received his PhD from the Karlsruhe Institute of Technology (KIT) in Germany with a dissertation titled "On the Interplay of Transparency and Fairness in AI-Informed Decision-Making." He also holds a master's degree in Operations Research from Georgia Tech and industry experience as a Senior Data Scientist at IBM.
Christian Wolf is an Assistant Professor at the Massachusetts Institute of Technology (MIT) Department of Economics and a Faculty Research Fellow at the National Bureau of Economic Research (NBER). His work bridges macroeconomics, monetary economics, and econometric methodology. Research Interests: Wolf specializes in macroeconomics and monetary policy , with a focus on econometric techniques like structural vector autoregressions (VARs) and local projections . His research explores policy counterfactuals, heterogeneous-agent models, and fiscal-monetary interactions. Recent Publications: His work spans topics such as equivalence between fiscal and monetary tools in HANK models, robust identification in VARs, and the interplay between inequality and macroeconomic dynamics. Articles appear in journals like Econometrica , Journal of Political Economy , and American Economic Review . Awards: Faculty Research Fellow, NBER Contact: ckwolf@mit.edu | Office: E52-554, MIT
Sean F. Reardon is the Professor of Poverty and Inequality in Education and a Senior Fellow at the Stanford Institute for Economic Policy Research (SIEPR) at Stanford University . He also holds a Professor (by courtesy) of Sociology . His work focuses on social and educational inequality, including residential and school segregation, racial/ethnic and socioeconomic disparities in academic achievement, and causal inference methods. Education: Ed.D., Harvard University, Educational Administration, Planning, and Social Policy (1997) M.Ed., Harvard University, Educational Administration, Planning and Social Policy (1992) M.A., University of Notre Dame, International Peace Studies (1991) B.A., University of Notre Dame, Program of Liberal Studies; Minor in Honors Mathematics (1986) Research Interests center on the causes and patterns of educational and racial inequality, the effects of school integration policies, and income inequality's social consequences. His Stanford Educational Opportunity Research Lab analyzes achievement gaps and segregation trends across U.S. school districts using large-scale datasets. Recent Publications highlight cross-national achievement gap comparisons, pandemic recovery disparities, and methodological advancements in segregation measurement. His work often integrates Data Sciences and Sociology to address policy-relevant questions. Awards Elected Member, American Academy of Arts and Sciences Elected Member, National Academy of Education Advising includes mentoring Doctoral Students like Tyler McDaniel and Postdoctoral Researchers like Farah Mallah. His Stanford Interdisciplinary Doctoral Training Program in Quantitative Education Policy Analysis (2009–2021) trained future scholars in rigorous policy methods.
Paolo Gardoni is the Alfredo H. Ang Family Professor and an Excellence Faculty Scholar in the Department of Civil and Environmental Engineering at the University of Illinois Urbana-Champaign, with additional professorial appointments in Industrial & Enterprise Systems Engineering and Biomedical & Translational Sciences. He also serves as Director of the MAE Center and Editor-in-Chief of Reliability Engineering & System Safety. Education Ph.D. in Civil Engineering, University of California, Berkeley (2002) M.A. in Statistics, University of California, Berkeley (2001) M.Eng. in Structural Engineering, University of Tokyo (1997) Laurea (BS+MS equivalent) in Structural Engineering, Politecnico di Milano (1997) Research Interests Gardoni’s scholarship integrates probabilistic methods with large-scale infrastructure systems to advance reliability, risk, and life-cycle analysis. His work quantifies the performance of deteriorating systems under natural and anthropogenic hazards, models societal impacts of disasters, and develops decision frameworks for sustainable and resilient infrastructure. He also examines ethical, social, and legal dimensions of risk, and investigates optimal strategies for hazard mitigation, disaster recovery, and climate adaptation. Across more than 250 refereed journal papers, he has advanced sub-fields ranging from probabilistic mechanics and earthquake engineering to catastrophe bond pricing and engineering ethics, leveraging tools such as stochastic differential equations, Bayesian networks, and physics-informed machine learning. Awards & Honors Alfredo Ang Award on Risk Analysis and Management of Civil Infrastructure (ASCE, 2021) Best Paper Awards in ASCE Journal of Sustainable Water in the Built Environment (2019) and Geotechnical Research (2018 Telford Premium Prize) Fellowships and named professorships: Alfredo H. Ang Family Professor, Excellence Faculty Scholar, and courtesy or honorary professorships at Tsinghua, IIT Guwahati, Tongji, Jianghan, and Loughborough universities. Research Leadership & Funding Gardoni has secured over $58 million in research funding from NSF, DHS, NIST, USAID, Qatar National Research Fund, and other agencies. He directs the MAE Center—formerly an NSF Engineering Research Center—focused on multi-hazard engineering approaches, and is Editor-in-Chief of Reliability Engineering & System Safety (Elsevier, IF 9.4). He founded and formerly led the journal Sustainable and Resilient Infrastructure (Taylor & Francis) and serves on editorial boards of nine additional journals. Advising & Mentorship He has graduated 27 PhD and 35 Master’s students, many of whom now hold faculty positions worldwide. His group maintains an active pipeline of doctoral and post-doctoral researchers working on resilience analytics, infrastructure monitoring, and risk-informed decision-making. Laboratories & Collaborations He leads the MAE Center and is affiliated with the Critical Infrastructure Resilience Institute (CIRI) and the Biomedical and Translational Sciences group. International collaborations span the UK (Loughborough), India (IIT Guwahati), and China (Tsinghua, Tongji, Jianghan), fostering cross-disciplinary research in reliability and resilience engineering.
Dr. Mary Elisabeth Cox holds dual academic appointments. She is a Research Associate at the Oxford Centre for Economic and Social History and the Global History of Capitalism Project at the University of Oxford, and an Assistant Professor in International Relations at the Central European University in Vienna, Austria. Her work bridges historical analysis with contemporary policy considerations, particularly regarding civilian suffering during conflicts. Education: Doctor of Philosophy (DPhil) in History from the University of Oxford Research interests center on the socio-economic and health impacts of war on civilians, focusing on gender and social inequality. She investigates food security, international aid institutions, anthropometric data applications, and 20th-century warfare. Her approach combines quantitative methods with traditional qualitative sources to explore deprivation timelines and recovery patterns across social groups. Her scholarly work analyses wartime blockades' nutritional consequences on German civilians, highlighted in her award-winning 2015 article and 2019 monograph. These studies demonstrate the interdisciplinary potential of blending anthropometric data with institutional reports, personal letters, and other sources. Awards include the Dev Book Prize for her groundbreaking DPhil dissertation and the 2016 Alexander Prize for the aforementioned 2015 article. She is also a shortlisted candidate for the Economic History Society's best doctoral dissertation. In advising and grants, she supervises Masters students at Brasenose College, Oxford, and leads the Leverhulme Trust-funded ‘Hunger Draws the Map’ project . This initiative traces hunger’s geopolitical dimensions across Europe and the Ottoman Empire during 1914–1922, culminating in a co-edited monograph expected in 2020. Collaboration with Dr. Claire Morelon and Sir Hew Strachan is central to this work. Labs/teams: She co-leads the ‘Hunger Draws the Map’ international network, which includes workshops at institutions like the Hoover Institution and partnerships with scholars worldwide. Her research also draws on lived experiences from her childhood in the South Pacific and Scandinavia, informing her cultural and regional perspectives.
Dr. Joey Paquet is a Tenured Associate Professor and Department Chair in the Department of Computer Science and Software Engineering at Concordia University in Montreal, Canada. He holds a PhD and specializes in research areas including Design and Implementation of Programming Languages, Context-Driven Computing, and Demand-Driven Computing. His work focuses on advancing programming paradigms and their applications in cybersecurity, distributed systems, and autonomic computing. Dr. Paquet is actively involved in thesis supervision across Computer Science and Software Engineering programs at both master's and doctoral levels. Research interests are centered around programming language design, particularly in demand-driven and context-aware systems. His contributions include frameworks like GIPSY and OpenISS, enabling scalable data processing and forensic computing. Recent work explores autonomic intent-driven networking, real-time gesture recognition, and IoT forensics. These efforts highlight his expertise in both theoretical constructs and practical implementations. His advising role supports students in MCompSc, MASc, and PhD programs. While specific grants are not detailed, his projects often involve interdisciplinary collaboration. Dr. Paquet is affiliated with platforms like LinkedIn and ResearchGate, reflecting an active academic presence. Key technical contributions include pioneering work on forensic computing backends, intent expression languages, and multimodal interaction systems. His research addresses challenges in cybersecurity, distributed systems, and service composition, with a focus on resilience and scalability.
