جست‌وجوی استاد و پژوهشگر

William Clasterمشاهده پروفایل

استاد آموزشی

• Machine Learning
• Big Data Analytics
• Fintech
• +۳ مورد دیگر

Dr. William Claster is an Associate Teaching Professor and Associate Program Director in the Master’s in Information Systems (MSIS) program at Northeastern University’s Arlington, VA campus. He holds a PhD from Ritsumeikan Asia Pacific University, an MA in Mathematics from Temple University, and a BS in Physics from Bard College. His research focuses on machine learning, big data analytics, fintech, natural language processing, and generative AI. He authored Mathematics and Programming for Machine Learning with R: From the Ground Up (CRC Press, 2020) and a Japanese textbook on data science fundamentals. His work includes over 10 peer-reviewed articles, such as studies on social media perception accuracy and medical informatics. Dr. Claster’s academic excellence was recognized with the Ritsumeikan Asia Pacific University Award for Outstanding Research (2014). Professionally, he has consulted for fintech firms like Paidy Finance, Union Bank of Switzerland, and Goldman Sachs. His teaching emphasizes innovative methods, with alumni at Google and Facebook. He leads a comprehensive data science curriculum development effort and actively bridges academia-industry collaboration.

• Data Science
• Digital Agriculture
• Artificial Intelligence
• +۳ مورد دیگر

Chen-Yi Lu is a Graduate Research Assistant at Purdue University's Department of Agricultural & Biological Engineering under Major Professor Chaterji. His research bridges digital agriculture and data science. University: Purdue University Department: Agricultural & Biological Engineering Advisor: Professor Somali Chaterji His work focuses on applying artificial intelligence, machine learning, and Internet-of-Things (IoT) to agricultural systems. Key areas include automated pest monitoring, anomaly detection in animal behavior, and AI-driven decision-support tools for sustainable food production. Recent publications highlight his expertise in deep learning for real-time agricultural monitoring systems, generative adversarial networks (GANs) for data augmentation, and AIoT-based solutions for pest management. His research spans interdisciplinary domains like computational modeling, sensor networks, and digital ecosystem design. Chen-Yi Lu's contributions emphasize integrating scalable databases and machine learning with agricultural safety, automation, and environmental stewardship. Current projects involve optimizing data flow for precision agriculture and developing cloud/edge computing platforms to enhance rural disaster response systems.

R.P. Kingsly Ambroseمشاهده پروفایل

استاد

• Powder Technology
• Agricultural Engineering
• Food Processing
• +۳ مورد دیگر

R.P. Kingsly Ambrose is a Professor in the Department of Agricultural & Biological Engineering at Purdue University, where he also serves as a University Faculty Scholar. His research focuses on particle technology applications in food, pharmaceutical, and biological process engineering, with an emphasis on powder flow, dust explosion prevention, and process modeling. He leads the Center for Particulate Products and Processes (CP3), equipped with advanced facilities like particle characterization tools (Malvern Morphologi G3-ID), a powder rheometer, and pilot-scale hoppers. His work addresses challenges in grain handling, safety, and sustainable agricultural practices. Recent projects include developing hermetic storage solutions, optimizing fertilizer design, and enhancing grain drying technologies. Ambrose collaborates with industry and academia to advance food safety, agricultural efficiency, and disaster mitigation strategies. His contributions span over 100 peer-reviewed publications and include innovations in dust monitoring systems and granular material behavior modeling.

• Resilient Infrastructure Systems
• Artificial Intelligence in Engineering
• Water Resources Engineering
• +۴ مورد دیگر

Dr. Juneseok Lee is a Professor of Civil and Environmental Engineering at Manhattan University, where he focuses on resilient infrastructure, AI applications, and engineering education. He earned his PhD from Virginia Tech and holds professional licenses (PE, BC.WRE) with expertise in water resources and systems analytics. His R.A.I.S.E. framework integrates resilience, AI, infrastructure, systems, and education to advance sustainable engineering practices. Education: PhD, Civil and Environmental Engineering, Virginia Tech (2008) MS, Civil and Environmental Engineering, Virginia Tech (2004) BS, Civil and Environmental Engineering, Korea University (2001) Research Interests: Dr. Lee’s work bridges technical and societal aspects of infrastructure resilience. Key areas include AI-driven water systems, predictive analytics, and engineering education innovation. His research addresses water distribution networks, premise plumbing safety, and sustainability strategies at the water-energy nexus. Recognition: 2024 ASCE Fellow 2022 EWRI Fellow 2021 EWRI Service to the Profession Award Multiple AWWA/ASCE Best Paper Awards Grants & Leadership: His work is supported by NSF, EPA, and industry partners. He serves as an Associate Editor for ASCE/AWWA journals, ABET Evaluator, and leader in professional societies like EWRI and ASCE. Labs & Teams: Leads initiatives in premise plumbing modeling, drinking water analytics, and educational technology through collaborations with utilities and global researchers.

• African Rainfall Variability
• Climate Change
• Hydrology
• +۷ مورد دیگر

Professor Camberlin Pierre holds the position of Professor and Director of the Department of Geography at Université de Bourgogne. His research focuses on African rainfall variability, climate predictability, and hydrological dynamics. Key areas include tropical cyclones' impact on rainfall patterns, future climate projections for East Africa, and flood hazard analysis in sub-Saharan regions. He leads the CRC team and contributes to interdisciplinary groups like BioME and SAMBA. Research interests span climatic teleconnections, low-level cloud dynamics, and the interplay between large-scale climate modes and extreme weather. His work integrates remote sensing, reanalysis data, and regional climate models to address environmental challenges in tropical and Mediterranean regions. Publications highlight advancements in understanding rainfall regimes, drought trends, and climate change impacts, with a focus on Djibouti and West/Central Africa. He has advised numerous PhD students and collaborates on projects such as Dyvalocca (studying low-level clouds' bioclimatic effects). Labs/Teams: CRC Team (Climatology & Risk), BioME Group (Ecosystems), SAMBA Team (Hydroclimatology).

• Computer Networking
• Machine-to-Machine Communications
• IoT (Internet of Things)
• +۴ مورد دیگر

Gianluca Rizzo is an Adjunct Professor at HES-SO Valais-Wallis, affiliated with the Higher School of Management (Haute Ecole de Gestion) and the Internet of Things (IoT) department linked to EPFL. He holds a Computer Science Bachelor's degree from UC3M University in Madrid. His research focuses on IoT, vehicular communications, AI-driven network optimization, and disaster-resilient systems. Education: Computer Science BSc (UC3M University, Madrid) Affiliations: HES-SO Valais-Wallis, EPFL IoT Group, RECODIS (Post-Disaster Communications Lab) His work spans energy-efficient networking, opportunistic content dissemination (Floating Content), and distributed learning techniques. Key contributions include optimizing multi-agent systems in dynamic environments, developing gossip learning frameworks for urban trajectory prediction, and analyzing SWIPT (Simultaneous Wireless Information and Power Transfer) in vehicular networks. He also explores emergency networks for post-disaster scenarios, leveraging technologies like UAVs and floating content for situational awareness. Recent publications emphasize AI-native vehicular communications, edge computing orchestration, and infrastructure savings via moving base stations. Collaborative projects include V-Edge (virtual edge computing) and the NOSE nomadic sensing ecosystem. His work bridges theoretical models (e.g., stochastic geometry) with practical implementations, addressing challenges in 5G/6G, smart cities, and industrial IoT.

Robert Riggsمشاهده پروفایل

استادیار

• Systems Engineering
• Integer Programming
• Combinatorial Optimization
• +۶ مورد دیگر

Robert Riggs is an Assistant Professor and Director of Undergraduate Programs in Systems Engineering at the University of Virginia's School of Engineering and Applied Science. He holds a Teaching Track position and serves as Systems ME and VEO Advisor. His research focuses on integer programming, combinatorial optimization, healthcare systems engineering, Six Sigma, lean enterprise applications, and disassembly optimization. He has advised on projects spanning healthcare clinic efficiency, AI-driven systems, and logistics optimization. Education details are not explicitly provided in the text, but his roles indicate advanced academic training in engineering disciplines. His research explores topics such as healthcare patient flow optimization, AI applications in recommenders, and disaster management systems. Recent work includes refining an AI restaurant recommender system (2025), redesigning emergency department layouts (2025), and analyzing post-COVID-19 healthcare workflows (2023). Riggs' articles reflect a multidisciplinary approach, addressing challenges in healthcare, logistics, and sustainability. His work on truck scheduling in cross-docking centers (2024) and maritime electrification (2023) highlights expertise in supply chain systems. He has also explored ethical AI applications and threats (2023) and nonprofit employment strategies for adults with autism (2024). No scientific awards are mentioned, but his active research portfolio spans over a decade with contributions to disassembly line balancing (2015) and parameter-coupling models in manufacturing (2013).

• Coastal Geomorphology
• Climate Change Adaptation
• Environmental Geology
• +۵ مورد دیگر

Cherith Moses is an Academic and Head of the Department of History, Geography & Social Sciences at Edge Hill University since September 2018. Her research focuses on coastal geomorphology, climate change adaptation, and environmental risk assessment, with fieldwork conducted across Southern Thailand, the European Seas, and the UK coastlines. Her research interests include: Coastal erosion and resilience mechanisms Climate change impact modeling Tropical peatland classification using remote sensing Shore platform dynamics and weathering processes Recent publications highlight her work on pan-European coastal vulnerability assessments (EMODnet Geology), erosion modeling in tropical regions, and interdisciplinary approaches combining remote sensing, machine learning, and field measurements. Moses collaborates extensively on international projects related to sediment dynamics, coastal behavior data products, and climate adaptation strategies. She contributes to academic leadership through editorial roles in the Quarterly Journal of Engineering Geology and Hydrogeology and participates in conferences like EGU General Assembly and EMODnet Open Conference. Her methodological expertise spans multi-source remote sensing, geological mapping, and interdisciplinary coastal research frameworks.

Kenneth W Wisianمشاهده پروفایل

مدرس

• Geothermal Energy
• Infrastructure Resiliency
• Disaster Management
• +۹ مورد دیگر

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.

Menglu Liangمشاهده پروفایل

استادیار بالینی

• Biostatistics
• Epidemiology
• Cardiovascular Disease Detection
• +۳ مورد دیگر

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.

Kalil Erazoمشاهده پروفایل

استاد آموزشی

• Structural Health Monitoring
• Civil Infrastructure Resilience
• Stochastic Methods
• +۴ مورد دیگر

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.

Imrose Muhitمشاهده پروفایل

مدرس ارشد

• Sustainable Construction Materials
• Zero-Carbon Infrastructure
• Artificial Intelligence in Structural Engineering
• +۵ مورد دیگر

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.

Lu Heمشاهده پروفایل

مدرس

• Healthcare Operations
• Supply Chain Management
• Operations Research
• +۳ مورد دیگر

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.

• Resilience of Infrastructure Systems
• Disaster Management
• Transportation and Supply Network Analysis
• +۶ مورد دیگر

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.

Sonia Hassanمشاهده پروفایل

استاد

• Maternal-Fetal Medicine
• Preterm Birth Prevention
• Maternal and Infant Mortality Reduction
• +۳ مورد دیگر

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.