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Yang SongView profile

Assistant Professor

• Generative Models
• Diffusion Models
• Score-Based Modeling
• +5 more

Yang Song is an incoming Assistant Professor in Electrical Engineering and Computing and Mathematical Sciences at the California Institute of Technology (Caltech). Prior to joining Caltech, he leads the Strategic Explorations team at OpenAI. He received his Ph.D. in Computer Science from Stanford University under the supervision of Stefano Ermon and completed his Bachelor's degree in Mathematics and Physics from Tsinghua University. His educational background includes: Ph.D. in Computer Science, Stanford University Bachelor's in Mathematics and Physics, Tsinghua University Dr. Song's research focuses on building powerful AI models capable of understanding, generating, and reasoning with high-dimensional data across diverse modalities. He is particularly known for inventing foundational concepts and techniques in score-based diffusion models, which have revolutionized the field of generative AI. His work bridges theoretical advances with practical applications, particularly in image generation, medical imaging, and solving inverse problems. His research has demonstrated how score-based models can achieve state-of-the-art results in image generation while maintaining flexibility for various applications including medical image reconstruction. Analysis of his publication record reveals a strong trajectory in generative modeling, with a particular emphasis on score-based approaches and diffusion models. His work consistently addresses fundamental challenges in generative modeling including sample quality, training stability, computational efficiency, and application to real-world problems. His most recent work on consistency models represents a significant advancement toward making generative models practical for real-time applications. His notable achievements include: ICLR 2021 Outstanding Paper Award for Score-Based Generative Modeling through Stochastic Differential Equations NeurIPS 2021 Spotlight Presentation for Maximum Likelihood Training of Score-Based Diffusion Models Multiple ICLR Oral presentations for his work on consistency models Developing foundational techniques that power many modern AI image generation systems His GitHub repository for score-based generative modeling has gained significant traction in the research community, with over 1,700 stars, reflecting the impact of his work. His research bridges theoretical machine learning with practical applications, particularly in medical imaging where his techniques have shown promise for improving image reconstruction in CT and MRI.

Matthew TurkView profile

Assistant Professor

• Data Science
• Computational Astrophysics
• Information Visualization
• +3 more

Matthew Turk is an Assistant Professor at the University of Illinois' School of Information Sciences and holds a Research Assistant Professor appointment in the Department of Astronomy. His work bridges computational astrophysics and data science, focusing on data analysis tools, human-computer interaction, and the social structures of scientific software communities. PhD in Physics from Stanford University (2009) Postdoctoral work at University of California, San Diego NSF Fellowship in Transformative Computational Science at Columbia University Turk's research centers on data visualization , reproducibility in scientific workflows , and computational infrastructure for astrophysics . He has developed tools like yt, a widely-used astrophysical simulation analysis toolkit, and explores how researchers interact with data through software and visualization techniques. His recent publications highlight trends in scientific software sustainability , machine learning applications in cosmology , and interdisciplinary data sonification . Turk's work demonstrates a consistent focus on integrating computational methods with human-centric approaches to scientific discovery. NSF Fellowship in Transformative Computational Science Turk contributes to scientific education through courses like Data Visualization (IS445ACG) and Independent Study (IS589MJT). His involvement in grants and collaborative projects, including the yt toolkit development and the Data Storytelling Toolkit for Libraries (DSTL), showcases his commitment to expanding computational literacy across domains.

Benjamin GoldsteinView profile

Assistant Professor

• Urban Sustainability
• Life Cycle Assessment
• Input-Output Analysis
• +11 more

Benjamin Goldstein is an Assistant Professor at the University of Michigan School for Environment and Sustainability, where he leads the Sustainable Urban-Rural Futures (SURF) lab. His work bridges quantitative methods (life cycle assessment, input-output analysis, geospatial data science) with social science theory to explore urban sustainability, distributive justice, and global supply chains. His research spans urban food systems, agri-commodities, residual resource engineering, and energy systems. Recent trends in his publications focus on urban agriculture's environmental trade-offs, supply chain transparency, and carbon-negative construction materials. He applies data science to map sustainability challenges across urban and rural landscapes while critically analyzing power asymmetries in global industries like beef production and cannabis cultivation. His work emphasizes actionable tools for policymakers and corporations to address environmental justice and resource efficiency.

Carolyn Conner SeepersadView profile

Professor

• Design for Additive Manufacturing
• Engineering Design
• Additive Manufacturing
• +4 more

Carolyn Conner Seepersad serves as the J. Mike Walker Professor of Mechanical Engineering at the University of Texas at Austin and directs the Center for Additive Manufacturing and Design Innovation. She holds membership in the U.T. System Academy of Distinguished Teachers and maintains active leadership in the additive manufacturing community through roles such as co-organizer of the Solid Freeform Fabrication Symposium and ASME Design Engineering Division Executive Committee membership. Her academic credentials include: PhD in Mechanical Engineering from Georgia Tech (2004) MA/BA in Philosophy, Politics and Economics from Oxford University (1998, Rhodes Scholar) BS in Mechanical Engineering from West Virginia University (1996) Dr. Seepersad's research centers on computational design methodologies and additive manufacturing innovation , with particular expertise in simulation-based design of complex systems, environmentally conscious product development, and materials engineering. Her work bridges theoretical design frameworks with practical manufacturing applications, emphasizing sustainability and performance optimization across aerospace, automotive, and energy systems. Current projects explore reactive extrusion additive manufacturing, negative stiffness materials, and machine learning integration for process-aware design. Analysis of her 15 most recent publications reveals a dominant focus on process innovation in additive manufacturing (70%), particularly stereolithography and selective laser sintering, with growing emphasis on data-driven design approaches (20%) and sustainable engineering applications (10%). Her work demonstrates consistent progression from fundamental material design toward integrated system optimization and industrial scalability. Her scientific recognition includes: International Outstanding Young Researcher Award in Freeform and Additive Manufacturing (2009) UT System Regents’ Teaching Award (2010) ASME Design Automation Committee Outstanding Young Investigator Award (2010) ASEE Outstanding New Mechanical Engineering Educator Award (2013) Multiple ASME and ASEE best paper awards U.T. System Academy of Distinguished Teachers membership Dr. Seepersad maintains an extensive advising portfolio with 48 graduate students (16 PhD, 24 MS, and 8 current) plus 2 postdoctoral researchers, reflecting sustained research productivity and educational impact. Her Product, Process, and Materials Design Lab fosters interdisciplinary collaboration between mechanical engineering, materials science, and computational design teams.

• Data Governance
• Computer Supported Collaborative Learning
• Student Persistence
• +4 more

Dawn Laux serves as Assistant Dean of Academic Programs and Professor of Practice in the School of Applied and Creative Computing at Purdue Polytechnic Institute, Purdue University. She concurrently holds the position of Division Head for Military Science and Technology and chairs the Purdue University Teaching Academy. With over 15 years of service since 2007, Dr. Laux teaches undergraduate information governance courses and has earned recognition including the Charles B. Murphy Award for Outstanding Undergraduate Teaching (2019) and induction into Purdue's Book of Great Teachers (2023). Her educational background includes: PhD in Human Computer Interaction, Iowa State University (2014) MS in Management Information Systems, Iowa State University (2007) BS in Business Education and Office Administration, Ball State University (1994) Dr. Laux's research centers on data governance, computer-supported collaborative learning, and student persistence in technology education. She investigates technology acceptance, recruitment of women and minorities into IT, database management, and information governance frameworks. Her work bridges educational theory with practical applications to enhance student engagement and diversity in computing fields. Analysis of her publications (2011-2016) reveals consistent focus on educational technology interventions, particularly examining virtual communities for student persistence, diversity initiatives in computing, and classroom technology adoption. Her research demonstrates interdisciplinary integration of information systems, educational psychology, and social computing principles with practical applications in higher education settings. Her distinguished recognition includes: Book of Great Teachers, Purdue University (2023) Academic Leadership Program Fellow, Big Ten Academic Alliance (2022-2023) Teaching Academy Member, Purdue University (2019) Charles B. Murphy Award for Outstanding Undergraduate Teaching (2019) College of Technology Exceptional Early Career Teaching Award (2014-2015) Teaching for Tomorrow Fellowship Award (2013-2014) Bringing 10 years of pre-academic industry experience from Purdue Employees Federal Credit Union and Insight Communications, Dr. Laux integrates practical IT expertise into her teaching and leadership. Her administrative roles encompass academic program oversight and military technology education initiatives, supported by her active participation in the National Center for Women and Information Technology Academic Alliance since 2011. As Division Head of Military Science and Technology, Dr. Laux leads specialized technology education programs while chairing the university-wide Teaching Academy to advance pedagogical excellence across Purdue's academic units.

Yangang XingView profile

Associate Professor

• Sustainable Built Environment
• Healthy Buildings
• Nature-Based Solutions
• +7 more

Yangang Xing is an Associate Professor at the School of Architecture Design and the Built Environment, Nottingham Trent University. He focuses on sustainable architectural science, integrating nature-based solutions, intelligent building technologies, and systemic modeling of post-carbon built environments. His work bridges building physics, smart cities, biophilia, and heritage conservation. Specializes in sustainable built environment and occupant wellbeing Develops AI-driven digital twin systems for circular energy renovation Active in EPSRC-funded projects on urban sustainability Chair of CIBSE Intelligent Building Group His research emphasizes creating holistic solutions to address societal challenges through interdisciplinary collaboration. Recent projects include the Innovate UK KTP partnership with Allsee Technologies, developing the Vieunite system for immersive digital nature experiences, and collaborations with Historic England on low-carbon materials. Fellow of the Higher Education Academy (FHA) Member of Chartered Institution of Building Services Engineers (MCIBSE) Dr. Xing supervises postgraduate research in areas including net-zero buildings, health-promoting urban design, and digital sustainability tools. His industrial experience complements academic research in economically viable carbon-neutral urban planning.

Christophe DanjouView profile

Associate Professor

• Industrial Engineering
• Management Information Systems
• Manufacturing
• +9 more

Christophe Danjou is an Associate Professor in the Department of Mathematical and Industrial Engineering at Polytechnique Montréal . He joined as a professor in January 2018 and serves as Scientific Director of the Poly-Industries 4.0 Laboratory since June 2021. His expertise spans Industrial Engineering , Industry 4.0/5.0 , Manufacturing Systems , and Blockchain . His research focuses on solving interoperability challenges in digital transformation through ontological approaches (OntoSTEP-NC) and blockchain technology. Key themes include strategic positioning frameworks for Industry 4.0/5.0, knowledge management , and smart manufacturing . Recent work explores digital twins for system-of-systems resilience , data integrity in IoT , and AI-driven food processing optimization . He teaches courses like Industry 4.0 and Manufacturing Processes . Under his supervision, 7 PhD and 6 Master’s students are advancing research in areas such as blockchain-based smart maintenance , distributed manufacturing , and carbon emission traceability . He is affiliated with institutions including IVADO (Member), CIRRELT (Member), and Data Intelligence Lab (Member). His publications highlight contributions to digital transformation across construction, agri-food, and SMEs, with 83 total publications (15+ recent articles shown).

Sam SalemView profile

Professor

• Structural Fire Engineering
• Performance-Based Fire Resistance Design
• Computer Modeling of Structures
• +4 more

Prof. Sam Salem, Ph.D., P.Eng., is a Full Professor in the Department of Civil Engineering at Lakehead University's Faculty of Engineering. He founded the Canada Foundation for Innovation (CFI)-sponsored Fire Testing and Research Laboratory (LUFTRL), the only facility of its kind in a Canadian university. Ph.D. in Structural Fire Engineering, Carleton University M.A.Sc. in Structural Engineering, Zagazig University (Egypt) B.A.Sc. (Honors) in Civil Engineering, Zagazig University (Egypt) Dr. Salem specializes in structural fire engineering, focusing on performance-based fire resistance design, large-scale fire endurance testing, and finite element modeling of steel/concrete/timber structures. His research program investigates structural fire performance of innovative building systems, particularly mass timber construction, through experimental testing and computational modeling. His work has attracted over $2.1 million in research grants from NSERC, CFI, OMRI, NOHFC, MNRF, MTI, and other agencies. He has authored/co-authored 60+ peer-reviewed publications and holds two patents (Canada/USA) for beam-end connection mechanisms in mass timber buildings. Lakehead University 2023 Research Excellence Award Lakehead Merit Awards (Research 2022, Teaching & Research 2020/2015) Contribution to Teaching Awards (2022, 2018, 2014) ASFE 2019 Outstanding Paper Award Dr. Salem trained 40+ highly qualified personnel through a balanced approach emphasizing academic excellence, practical implementation, professional development, and career skills. He served as Dept. Chair (2021-2023), graduate program coordinator (2017+), and sits on multiple university and technical committees including ULC Standards Technical Committee and Canadian Commission on Building and Fire Codes.

Pavel V. TsvetkovView profile

Professor

• Nuclear Engineering
• System Analysis & Optimization Methods
• Complex Engineered Systems
• +6 more

Professor Pavel V. Tsvetkov is a faculty member at Texas A&M University , holding the rank of Professor of Nuclear Engineering and serving as the Director of the Graduate Program in Nuclear Engineering . He is also an Affiliated Faculty member of the Multidisciplinary Engineering program . His office is located in the AIEN M205B building, and he can be contacted at tsvetkov@tamu.edu . Educational Background: Ph.D. in Nuclear Engineering, Texas A&M University (2002) M.S. in Theoretical & Experimental Reactor Physics, Moscow State Engineering Physics Institute (1995) Research Interests: Professor Tsvetkov's research spans a wide range of advanced nuclear engineering topics. His primary focus includes system analysis and optimization methods , complex engineered systems , and symbiotic nuclear energy systems . He is deeply involved in waste minimization and sustainability , particularly through the development of high-temperature gas-cooled reactors (HTGRs) and molten salt reactors (MSRs) . His work also explores direct nuclear energy conversion systems and the integration of AI and deep learning into nuclear reactor control and monitoring systems. Research Trends in Publications: Over the past few years, Professor Tsvetkov has published extensively on the application of machine learning and deep learning in nuclear engineering. His recent works focus on autonomous reactor control , reactor dynamics simulation , and remote monitoring systems using satellite data and AI. He has also contributed to the design and analysis of microreactors for space applications and molten salt reactor dynamics . Scientific Awards: George Armistead, Jr ’23 Faculty Excellence Teaching Award Advising and Grants: As Director of the Graduate Program in Nuclear Engineering, Professor Tsvetkov plays a key role in mentoring and advising graduate students. While specific student names are not listed, his leadership in the program and extensive research output suggest active involvement in student research and training. Labs and Teams: Professor Tsvetkov is associated with the Nuclear Power Engineering group at Texas A&M University, contributing to both academic and applied research in nuclear systems design and safety.

• Burn Surgery
• Critical Care
• Trauma Surgery
• +3 more

Dr. Irma D. Fleming serves as an Assistant Professor of Surgery at the University of Utah School of Medicine, where she maintains clinical practice at the University of Utah Hospital Burn Center in Salt Lake City. Board certified by the American Board of Surgery and its Surgical Critical Care subspecialty, she specializes in acute burn care, burn reconstruction, critical care trauma management, and necrotizing soft tissue infections. Her academic training includes: B.S. in Biology from Spelman College M.D. from Meharry Medical College General Surgery Residency at the University of Chicago Burn Surgery Fellowship at Vanderbilt University Medical Center Anesthesia Critical Care Fellowship at the University of Chicago Dr. Fleming's research integrates clinical burn care with microbiome science, focusing on how microbial communities influence wound healing, sepsis, and surgical outcomes. Her work examines nutritional interventions in burn recovery, electrical injury complications, frostbite management, and antibiotic-resistant pathogens in burn units. She investigates the intersection of trauma, critical illness, and host-microbe interactions using multi-omic approaches and clinical database analysis. Analysis of her 15 most recent publications (2016-2024) reveals consistent emphasis on burn care optimization through microbiome modulation, infection control in burn units, and metabolic/nutritional support. Key trends include translational studies on fecal microbiota transplants for sepsis, outbreak management of multidrug-resistant Acinetobacter baumannii, and innovative techniques like botulinum toxin application in acute burn care. Her work spans clinical trials, multi-omic tissue analysis, and hospital environmental microbiome studies. No scientific awards were documented in the provided materials. While no student mentorship or grant details were specified, Dr. Fleming's collaborative publications suggest active participation in multi-institutional research teams focused on surgical infections and critical care outcomes. Her clinical role involves telemedicine applications and comprehensive burn center care coordination.

Farzin ZareianView profile

Professor

• Structural Engineering
• Earthquake Engineering
• Performance-Based Earthquake Engineering
• +2 more

Farzin Zareian is a Professor in Civil and Environmental Engineering at the Samueli School of Engineering, University of California, Irvine. His research focuses on performance-based earthquake engineering, collapse analysis, structural reliability, and structural control. Ph.D. in Structural Engineering, Stanford University (2006) M.S. and B.S. in Civil/Earthquake Engineering, Sharif University of Technology (1997, 1995) Zareian's research integrates analytical and experimental approaches to advance earthquake resilience in structural systems. Key areas include base plate connections, seismic response of asymmetric structures, and validation of simulated ground motions. His work with the Performance Based Earthquake Engineering Laboratory emphasizes practical applications in structural safety. Recent publications highlight innovations in column base modeling, seismic demand prediction, and infrastructure recovery frameworks. Notable trends in his 2021–2025 articles include machine learning for ground motion prediction, resettable structural systems, and probabilistic drift profile analysis for multistory buildings.

Maria SydnesView profile

Associate Professor

• Emergency Management
• Crisis Response
• Organizational Resilience
• +4 more

Maria Sydnes serves as an Associate Professor in the Department of Technology and Security at UiT The Arctic University of Norway, Tromsø. Her academic work focuses on emergency management and organizational resilience within high-risk Arctic environments, with particular emphasis on maritime safety and cross-border crisis coordination between Norway and Russia. Her research interests span interorganizational coordination during emergencies, organizational learning for resilience building, and practical applications of lean production principles in crisis contexts. She investigates Arctic-specific challenges including avalanche response in Longyearbyen, oil spill management in polar waters, and integration of unorganized volunteers into formal emergency systems, consistently addressing the intersection of climate change impacts and security vulnerabilities. Analysis of her publication record reveals a strong trend toward interdisciplinary solutions for Arctic safety, with recurring themes of Norwegian-Russian cooperation, maritime risk assessment, and adaptive governance structures. Her work bridges theoretical frameworks with real-world case studies—from Svalbard waters to the Barents Sea—demonstrating practical approaches to disaster risk reduction in extreme environments. Dr. Sydnes actively participates in multiple research initiatives including the Climate Change Adaptation and Secure Societies groups. Her current projects encompass Co-producing knowledge about risk and safety of maritime activities around Svalbard SPRICE (spray icing modelling for maritime decision support) GLOBSEC (North-South security partnerships) NoCoU (civil security for Norwegian communities) Beredt! (risk-based governance for climate-driven natural hazards) highlighting her commitment to scalable, community-focused security solutions in vulnerable Arctic regions.

Lucy ArendtView profile

Professor

• Disaster Management
• Organizational Behavior
• Leadership
• +3 more

Lucy Arendt serves as Professor of Business Administration – Management and Co-Director of the Center for Exceptional Leadership at St. Norbert College's Schneider Business School, where she teaches organizational behavior, leadership, and strategic management at undergraduate and graduate levels. Her global teaching initiatives include leading student cohorts to Europe for leadership studies and Mexico for international business immersion since joining the institution in 2016 after 26 years at UW-Green Bay. Her educational credentials include a B.S. and M.S. from the University of Wisconsin-Green Bay and a Ph.D. from the University of Wisconsin-Milwaukee. B.S., University of Wisconsin-Green Bay M.S., University of Wisconsin-Green Bay Ph.D., University of Wisconsin-Milwaukee Dr. Arendt's research centers on decision-making dynamics within disaster contexts, spanning mitigation through recovery phases. Her fieldwork across 15+ disaster zones—from New Orleans post-Katrina to Nepal's earthquake aftermath—examines how formal and informal leaders drive organizational and community resilience. This interdisciplinary work bridges business strategy with emergency management, emphasizing leadership's role in crisis navigation and long-term recovery. Her publication trajectory reveals evolving focus from early humor studies in organizational behavior toward comprehensive disaster resilience frameworks. Recent works analyze transformational leadership failures (2024), tornado recovery systems (2023), and engineered resilience metrics like the PEOPLES framework (2016), demonstrating consistent integration of organizational theory with real-world disaster response challenges across healthcare, infrastructure, and community systems. Notable recognition includes the UW-Green Bay Founders Association Award for Excellence in Teaching (2008-09) and a University Award for Collaborative Achievement (2013-14) for innovative international education programming. UW-Green Bay Founders Association Award for Excellence in Teaching (2008-09) UW-Green Bay Teaching Award for Experienced Teacher (2010) University Award for Excellence in Collaborative Achievement (2013-14) Her advisory impact extends through FEMA and NIST consultations, federal earthquake hazards committee leadership, and the Housner Fellows Leadership Development Program. She has directed disaster-reconnaissance teams for EERI across four continents, translating field insights into policy recommendations for governmental and nonprofit entities including Procter & Gamble and the U.S. Chamber of Commerce. As EERI board secretary/treasurer and federal Advisory Committee chair, she drives cross-sector collaboration on seismic safety standards. Her Center for Exceptional Leadership initiatives foster student development through experiential learning, while ongoing research partnerships with international agencies advance community resilience metrics for global disaster-prone regions.

• Computer Supported Cooperative Work (CSCW)
• Human-Centered Computing
• Human-Computer Interaction
• +7 more

Pernille Bjørn is a Professor in Computer Supported Cooperative Work (CSCW) at the Department of Computer Science , University of Copenhagen (DIKU), where she has been since May 2015. Her research investigates collaborative work practices to design cooperative technologies, focusing on domains like healthcare, global software development, startup companies, and digital fabrication. Faculty of Science, University of Copenhagen Human-Centred Computing Section Research Interests : Bjørn’s work spans CSCW , Human-Computer Interaction , and Digital Fabrication , with applications in healthcare systems, cross-cultural software development, and inclusive technology design. She explores collaborative virtual reality training, FemTech, and crisis computing. ACM Distinguished Member (2024) Publications : Published in top venues like ACM Transactions on Computer-Human Interaction , CSCW , and CHI , her recent work examines hybrid work asymmetry, neurodiverse accessibility, and art-driven collaborative research.

Lianne LefsrudView profile

Associate Professor

• Risk Management
• Sustainability
• Organizational Theory
• +5 more

Lianne Lefsrud serves as Associate Professor and Risk, Innovation, and Sustainability Chair (RISC) in the Department of Chemical and Materials Engineering at the University of Alberta's Faculty of Engineering. Her interdisciplinary research bridges engineering, social sciences, and policy to transform risk management practices across energy, mining, construction, and railroading industries, directly influencing regulations, building codes, and industry operations for sustainable development. Her academic credentials include: BSc in Civil Engineering (Cooperative Program), University of Alberta (1994) MSc in Interdisciplinary Civil & Environmental Engineering and Sociology, University of Alberta (1996) PhD in Strategic Management and Organization, Alberta School of Business (2014) Dr. Lefsrud's research centers on risk management frameworks for sustainability challenges. She examines hazard identification, social license to operate, and technology adoption drivers in high-hazard industries, with emphasis on prospective risk assessment (e.g., hydrogen infrastructure design) and retrospective analysis (e.g., microplastic pollution impacts). Her work integrates circular economy principles into energy systems while addressing unintended consequences across UN Sustainable Development Goals. Recent publications (2024-2025) demonstrate heavy focus on machine learning applications for rail and construction safety, hydrogen infrastructure risk analysis, and science denial mitigation. Key patterns show cross-industry adaptation of AI for incident prediction, regulatory gap analysis for emerging energy systems, and socio-technical approaches to reconcile sustainability goals with operational realities. Scientific recognition includes: Erb Post-Doctoral Fellowship (University of Michigan) Dow Sustainability Research Fellowship (Ross School of Business) Dr. Lefsrud mentors graduate students through industry-integrated projects like her Sustainable Design course where teams generated patents and city solutions. Her research secures Alberta Innovates funding with 1:4 industrial-to-federal matching, collaborating with Suncor, Transport Canada, and Canadian Standards Association. Grants target practical implementations including railcar inspection systems and hydrogen safety protocols. She co-founded Insight Risk Systems and leads the Lefsrud Lab, prioritizing inclusive teams with under-represented groups (women, Indigenous, LGBTQ2S+, neurodiverse) to tackle 'wicked problems' in sustainability. The lab leverages interdisciplinary partnerships across engineering, computer science, psychology, and environmental sociology for real-world risk management solutions.