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Kenneth W Wisian is a Lecturer in the Department of Earth and Planetary Sciences at the Jackson School of Geosciences, The University of Texas at Austin. He concurrently serves as Associate Director of the Environmental Division at the Bureau of Economic Geology, a Research Scientist at the Center for Space Research (Cockrell School of Engineering), and holds affiliations with the Department of Aerospace Engineering and Engineering Mechanics. His roles include leadership in geothermal energy research, disaster response, and space exploration. Educational Background: Wisian earned a Ph.D. in Geophysics from Southern Methodist University, an M.S. in Strategic Studies from the U.S. Army War College, an M.S. in Geology from Centenary College, and a B.A. in Physics from The University of Texas at Austin. His military career includes service as a Major General in the U.S. Air Force, specializing in reconnaissance, combat leadership, and test piloting. Research Focus: Wisian’s primary research revolves around geothermal systems for electricity generation, with additional emphases on infrastructure resilience, disaster management, autonomy/drones, applied gravity studies, planetary geology, and space exploration policy. His work bridges geoscience, defense strategy, and international relations, with contributions to AI applications in crisis leadership and extraterrestrial intelligence studies. Publications & Impact: His recent articles address geothermal resource assessments, heat flow data standardization, and machine learning applications in geothermal well analysis. He also explores interdisciplinary topics like planetary geothermal systems and protocols for extraterrestrial contact, drawing lessons from global crises like the pandemic. Awards & Recognition: Wisian has been awarded the Bronze Star and Air Medal for military service, and is a Fellow of the British Interplanetary Society. His contributions span academic, defense, and space exploration domains, reflecting his cross-disciplinary expertise. Teaching & Leadership: He teaches courses such as “Life in the Universe” and has instructed military history and leadership. Wisian’s leadership roles include commanding the 147th Reconnaissance Wing and directing disaster response efforts for hurricanes and the Space Shuttle Columbia incident. Labs & Collaborations: He participates in the Center for Planetary Systems Habitability and collaborates across institutions to advance geothermal energy, planetary science, and space policy initiatives.

• Geothermal Energy
• Infrastructure Resiliency
• Disaster Management
• +9 more

Dr. Menglu (Maggie) Liang is a Clinical Assistant Professor in the Department of Epidemiology and Biostatistics at the University of Maryland. She holds a PhD in Biostatistics from Penn State University, a Master’s in Biostatistics from the University of Minnesota, and a Master’s in Epidemiology from Johns Hopkins University. Her research focuses on biostatistical methods applied to cardiovascular disease early detection, dynamic survival analysis, and Bayesian network meta-analysis. Education: PhD in Biostatistics, Penn State University (2023) MS in Biostatistics, University of Minnesota (2019) ScM in Epidemiology, Johns Hopkins University (2016) Research Interests: Dr. Liang’s work integrates biostatistical techniques with epidemiological studies to address public health challenges. Key areas include cardiovascular disease biomarkers, environmental health impacts (e.g., extreme heat, wildfires), and methodological advancements in meta-analysis and survival modeling. Recent Research Trends: Her publications emphasize interdisciplinary approaches, combining clinical data with statistical rigor to assess lifestyle interventions, environmental exposure risks, and molecular-level health mechanisms. Recent studies explore step-count metrics in metabolic syndrome populations, heat-related occupational illnesses, and genomic correlates of brain aging. Advising & Grants: While specific grant details are not listed, her academic role suggests involvement in collaborative research projects. No lab affiliations are explicitly mentioned in the provided materials.

• Biostatistics
• Epidemiology
• Cardiovascular Disease Detection
• +3 more

Kalil Erazo is an Assistant Teaching Professor in the Department of Civil and Environmental Engineering at Rice University. His research focuses on structural health monitoring (SHM) for resilient civil infrastructure, particularly in regions prone to natural hazards. Erazo emphasizes integrating stochastic methods, Bayesian estimation, and advanced sensor technologies to assess structural integrity and predict performance under extreme events. Education: Postdoctoral Scholar, Rice University (2015-2016) Ph.D. in Civil and Environmental Engineering, University of Vermont (2015) M.S. in Civil and Environmental Engineering (Fulbright Fellow), Georgia Tech (2012) B.S. in Civil Engineering, Instituto Tecnológico de Santo Domingo (2009) Research Interests: Erazo’s work bridges theory and practice in resilient infrastructure design. Key areas include SHM for historic structures (e.g., UNESCO’s Colonial City of Santo Domingo), stochastic modeling for uncertainty quantification, Bayesian methods for nonlinear systems, and post-disaster decision-making frameworks. He advocates for integrating computational tools with physical infrastructure to enhance safety and sustainability. Research Group: The Structural Monitoring for Resilient and Sustainable Infrastructure group addresses National Academy of Engineering Grand Challenges by developing cyber-physical systems that monitor infrastructure health and predict performance under hazards like hurricanes and earthquakes. Outputs include sensor-based frameworks, digital twin technologies, and risk-assessment protocols.

• Structural Health Monitoring
• Civil Infrastructure Resilience
• Stochastic Methods
• +4 more

Imrose Muhit serves as a Senior Lecturer in Civil and Sustainable Infrastructure Engineering at Teesside University's School of Computing, Engineering & Digital Technologies (SCEDT). He holds external positions including Member (Emerging Leader) of the UK Young Academy, External Research Supervisor at Durham University, and Community Advisory Board Member for the Institution of Civil Engineers' Knowledge Networks. His roles encompass Postgraduate Research Tutor for SCEDT and Marketing and Recruitment Champion for the Engineering Department. His educational background includes: Bachelor of Civil Engineering from Chittagong University of Engineering and Technology Master of Structural Engineering from Chung-Ang University PhD in Structural Engineering from the University of Newcastle, Australia Muhit's research focuses on sustainable infrastructure solutions with particular emphasis on zero-carbon construction materials, AI-driven structural assessment, and climate-resilient design. His work bridges computational modeling with practical applications in masonry structures, low-carbon concrete technologies, and circular economy principles for the built environment. He actively develops machine learning approaches for structural reliability analysis and material optimization. His publication portfolio reveals consistent innovation in sustainable materials (hemp composites, geopolymer concrete, rubberized concrete) and structural resilience (masonry veneer walls, seismic response prediction). The research demonstrates strong interdisciplinary integration of artificial intelligence with traditional civil engineering challenges, particularly in climate adaptation contexts. Key recognitions include: Membership in the UK Young Academy as an Emerging Leader Muhit actively supervises PhD students in sustainable infrastructure topics and leads significant research initiatives including Innovate UK projects RECONSTRUCT and Activated Filter Cake. His knowledge exchange spans enterprise activities through University of Teesside Enterprises (UTEL) focusing on low-carbon construction materials. International collaboration networks span 12 countries across four continents. His professional ecosystem includes leadership roles in the Institution of Civil Engineers' Sustainability Network and Stockton-on-Tees Borough Council's Business Climate Coalition, demonstrating commitment to translating research into community impact.

• Sustainable Construction Materials
• Zero-Carbon Infrastructure
• Artificial Intelligence in Structural Engineering
• +5 more

Lu He is an Instructor of Supply Chain Logistics at the College of Business, Mississippi State University. He holds a Ph.D. in Industrial and Systems Engineering (SUNY Binghamton, 2020), an MS in Industrial and Systems Engineering (SUNY Binghamton, 2015), and a BM in Logistics Management (Southeast University, 2014). His research focuses on healthcare operations optimization, machine learning applications in clinical decision-making, supply chain resilience, and wearable robotics. Notable contributions include surgical scheduling algorithms, predictive models for patient readmissions, and disaster inventory management frameworks. His work bridges operations research and healthcare analytics to improve system efficiency and patient outcomes. Publications span healthcare technology, disaster planning, and urban crime modeling. He has collaborated on projects involving neural networks for medical signal processing and agent-based simulations. While no awards are listed, his interdisciplinary research demonstrates expertise in applying advanced analytical methods to real-world challenges. He advises in the areas of supply chain logistics and healthcare systems, with a focus on practical implementation through optimization and data-driven approaches.

• Healthcare Operations
• Supply Chain Management
• Operations Research
• +3 more

Dr. Jinzhu Yu is an Assistant Professor at the University of Texas at Arlington, holding primary affiliation in Civil Engineering and a secondary appointment in Industrial, Manufacturing, and Systems Engineering. He earned his Ph.D. in Interdisciplinary Systems Engineering from Vanderbilt University and conducted postdoctoral research at Rensselaer Polytechnic Institute. His work focuses on resilient urban systems through network science, operations research, and AI/ML. Research interests include infrastructure resilience, disaster management, transportation networks, and decision-making under uncertainty. Education: PhD, Interdisciplinary Systems Engineering, Vanderbilt University (2020) MS, Civil Engineering, Tongji University (2016) BS, Civil Engineering, Tongji University (2013) Research Highlights: Dr. Yu develops models for infrastructure resilience, climate adaptation, and equity. Recent projects include TxDOT-funded work on transportation asset management and crowd-sourced bicycle/pedestrian safety data. His lab integrates data science and network analytics to enhance urban systems. Awards: Urban Resilience Fellow (2024) STARs Award (2022) Student Merit Award (2017) Grants & Advising: Active projects include $319K TxDOT grant (2024) and leadership in NSF reviews. Supervises interdisciplinary students in civil engineering, systems engineering, and computer science.

• Resilience of Infrastructure Systems
• Disaster Management
• Transportation and Supply Network Analysis
• +6 more

Sonia Hassan, M.D., is a Professor of Obstetrics and Gynecology at Wayne State University's School of Medicine and serves as Associate Vice President and founder of the Office of Women’s Health. She leads the SOS MATERNITY Network, a state-funded initiative addressing Michigan's high maternal and infant mortality rates through standardized care protocols, prenatal access improvements, and research collaboration across 14 universities and healthcare systems. Her research focuses on preterm birth prevention, preeclampsia management, and reducing racial disparities in maternal health outcomes. Key projects include vaginal progesterone therapy studies, cervical length analysis using advanced imaging technologies, and investigating the impact of infectious diseases like COVID-19 on pregnancy outcomes. Dr. Hassan has secured $11 million in state funding for the SOS MATERNITY Network and led collaborative efforts resulting in over 50 peer-reviewed publications. Awards include WJR's 2024 Women Who Lead Award for her leadership in maternal health advocacy. Her work integrates clinical care, policy advocacy, and transdisciplinary research to advance equitable obstetrical practices. Grants and partnerships include multi-state collaborations studying racial disparities in perinatal health and global health projects analyzing tuberculosis burden trends. Dr. Hassan also pioneers novel imaging techniques (e.g., photoacoustic systems) for cervical assessment and fetal monitoring, aiming to standardize diagnostic approaches across Michigan healthcare providers.

• Maternal-Fetal Medicine
• Preterm Birth Prevention
• Maternal and Infant Mortality Reduction
• +3 more

Dr. Brooke Bennett is an Assistant Professor in the Department of Psychology at Clemson University and Director of the BEAM Lab. She holds a Ph.D. in Clinical Psychology from the University of Hawaiʻi at Mānoa, with postdoctoral training at Yale University and the UConn Rudd Center for Food Policy and Health. Her research focuses on addressing sociocultural barriers to health equity through digital interventions, with specialties in disordered eating, media literacy, and weight stigma. Dr. Bennett’s work intersects public health nutrition, LGBTQ+ health, and healthcare provider behavior. Educational Background: Ph.D. Clinical Psychology, University of Hawaiʻi at Mānoa (2020) M.S. Clinical Psychology, Missouri State University (2015) B.A. Psychology, Kent State University (2013) Research Interests: Media’s impact on body image and eating behaviors Health equity in underserved populations Technology-based interventions Healthcare provider stigma Summer meal program effectiveness Key Contributions: Developed app-based interventions for body dissatisfaction Examined disparities in eating disorder prevalence among sexual/gender minorities Evaluated USDA’s pandemic-era summer meal programs Validated scales for measuring weight stigma Awards: 2025 Phil and Mary Bradley Award for Mentoring Top cited IJED article (2022-2023) Recognized for innovative eating disorder research methods Lab & Outreach: The BEAM Lab focuses on translating research into scalable solutions for body image and eating disorder prevention, emphasizing digital tools and community partnerships.

• Eating Disorders
• Body Image
• Digital Interventions
• +4 more

Yu Zhang is Professor of Civil Engineering at UT Arlington, specializing in water systems resilience. His NOAA and NASA-funded research develops predictive models for flood risks, drought impacts, and coastal infrastructure vulnerabilities. He directs projects exceeding $2M in funding. Research Focus: Zhang integrates satellite data with hydrologic models to forecast extreme weather impacts. His work supports reservoir operations and climate adaptation planning across Texas, emphasizing marginalized communities' vulnerability. Teaching: Courses include Remote Sensing in Hydrometeorology and Advanced Hydrology, training students in geospatial analysis and climate modeling techniques. Professional Service: Associate Editor for Journal of Hydrometeorology and active contributor to NASA precipitation measurement initiatives.

• Hydrology
• Climate Resilience
• Remote Sensing
• +2 more

Lav Gupta is an Assistant Professor of Computer Science at the University of Missouri–St. Louis. He holds a Ph.D. and MS from Washington University in St. Louis, and BS/MS degrees from Indian Institute of Technology Kanpur and Roorkee. His research focuses on cybersecurity, networking, cloud computing, and AI applications in critical infrastructure like healthcare and finance. Research interests include secure multi-cloud management, AI-driven fault detection in virtual networks, and resilient healthcare systems. He has published 13+ first-author papers in journals/conferences, with work on hierarchical deep learning for cybersecurity and edge-cloud AI. His funded projects include NSF/SaTC grants and UM System Broadband Research initiatives. Current work involves standardization efforts at ITU-T Geneva for inter-cloud service management frameworks. Notable awards include the 2015 Broadcom Foundation Research Award and Vodafone’s 2014 Wireless Innovation Prize. He leads the Cybersecurity and Networking Lab, offering GRA positions in multi-cloud security and 5G/6G systems. Students can contact via email or office hours (Wednesdays in-person/Zoom). Grants and collaborations highlight industry ties through Sony and ITU-T. Future work emphasizes socially impactful applications like smart cities and critical patient monitoring systems.

• Cybersecurity
• Networking
• Cloud Computing
• +5 more

Affiliation and Expertise Sara Saravi is Associate Lecturer in Computer Science at the University of Derby. Her research applies AI and systems engineering to flood resilience planning. Research Focus Saravi develops AI-driven models for flood risk assessment and infrastructure resilience, emphasizing stakeholder-collaborative approaches like hackathons for complex system design.

• Artificial Intelligence
• Flood Resilience
• Systems Engineering
• +2 more

Dr. Dimitriou Loukas is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Cyprus, leading the Laboratory of Transportation Engineering. He holds a PhD from the National Technical University of Athens (NTUA) and has held academic positions at King Saud University and the University of Cyprus. His research focuses on sustainable transportation systems, leveraging AI, big data, and econometrics to optimize transport performance and policy design. He teaches 2 mandatory undergraduate and 5 postgraduate courses in Transport Infrastructure Management. His work spans smart city mobility, micromobility systems, freight transport optimization, and emerging transport technologies. He has secured significant national and EU research funding, reviews for top journals, and participates in international conference committees. Key research areas include: Equity in transit budget allocation Spatiotemporal analysis of shared mobility Electric vehicle policy optimization Data-driven infrastructure maintenance Airport network pandemic control strategies His laboratory develops decision-support frameworks for transport systems, integrating machine learning with traditional engineering methods to address urban mobility challenges.

• Sustainable Mobility
• Transportation Systems Design
• Public Transport Planning
• +7 more

Nicholas D. Boltin is an Assistant Professor in the Department of Biomedical Engineering at the Molinaroli College of Engineering and Computing, University of South Carolina. He has held this position since 2018, following the completion of his Ph.D. in Biomedical Engineering at the same institution. His educational background includes a B.S. in Engineering from Appalachian State University (2005). Research Focus: Dr. Boltin specializes in healthcare decision support systems using interdisciplinary approaches from data science. His work spans: Advanced data analytics (machine learning, statistical modeling, dimension reduction) Translational informatics tool development (software engineering, human-computer interaction) Applications in emergency triage, biomaterial outcomes, and spectroscopic analysis Publication Trends: His 15 most recent articles (2014-2025) demonstrate strong emphasis on machine learning applications in clinical settings, with recurring themes in: Predictive modeling for surgical outcomes and biomaterial interactions Emergency department triage optimization during mass casualties Infrared spectroscopy for biomedical and forensic applications Teaching: Currently instructs undergraduate and graduate courses including BMEN 211 (Modeling & Simulation), BMEN 361 (Instrumentation), BMEN 391 (Kinetics), and BMEN 589 (Data Analytics).

• Healthcare Decision Support Systems
• Machine Learning
• Data Mining
• +4 more

Dr. Jasim Imran is Professor of Civil and Environmental Engineering at the University of South Carolina's College of Engineering and Computing. His research applies fluid mechanics to geophysical and engineering challenges in water systems. Key investigations include: Sediment dynamics in river networks and turbidity currents Dam/levee breach mechanisms and flood prediction Computational hydraulics for disaster scenarios Experimental modeling of erosion processes His recent work develops predictive frameworks for flood management and infrastructure resilience. Dr. Imran teaches graduate and undergraduate courses in fluid mechanics and hydraulic engineering, emphasizing field-relevant computational methods.

• Water Resources Engineering
• Sediment Transport
• River Mechanics
• +2 more

Matthew Janssen is a Research Assistant Professor at the Department of Civil, Environmental, and Ocean Engineering, Stevens Institute of Technology. His research focuses on coastal hazards, littoral processes, and developing computationally efficient models to assess risks to coastal infrastructure using field observations, numerical modeling, and data-driven techniques. He holds a PhD (2022), MS (2016), and BS (2011) in Ocean Engineering from Stevens Institute of Technology and the University of Rhode Island, respectively. His work emphasizes understanding storm erosion potential, dune performance under climate change scenarios, and the impact of coastal structures. Notable contributions include methodologies for quantifying storm erosion considering sea level rise and probabilistic forecasting of coastal storm impacts. He currently serves as Assistant Director of the NJ Coastal Protection Technical Assistance Service and has prior industry experience with firms like Rising Tide Waterfront Solutions and McLaren Engineering Group. Key Research Areas: Coastal resilience, numerical modeling, climate adaptation, dune dynamics, sediment transport. Recent Focus: Long-term dune performance under extreme and nuisance erosion events; integration of machine learning (CART models) for erosion prediction. Publications highlight his work on hurricane impacts, breakwater effectiveness, and navigation channel management. He received the John P. Breslin Award (2022) and is active in professional societies like ASBPA and COPRI. His technical reports include analyses of New Jersey beach sediment characteristics and shoreline impacts at North Wildwood. He collaborates on projects balancing engineering solutions with ecological and economic considerations.

• Coastal Engineering
• Coastal Hazards
• Numerical Modeling
• +3 more