Dr. Erik Linstead is an Associate Professor and Senior Associate Dean at Chapman University, affiliated with the Fowler School of Engineering, School of Pharmacy, and George L. Argyros College of Business and Economics. His expertise spans Machine Learning, GPU Programming, Autism Spectrum Disorder, Assistive Technologies, Predictive Analytics, and Virtual Reality. Education: Bachelor of Science, Chapman University Master of Science, Stanford University Ph.D., University of California, Irvine Dr. Linstead's research integrates machine learning with diverse domains, including autism treatment, environmental monitoring, and software engineering. His recent publications focus on coral reef health, land surface temperature trends, and embedded machine learning systems. His scholarly work includes collaborations in remote sensing, medical informatics, and neurodiversity support. Articles highlight his interdisciplinary approach, applying AI to ecological challenges (e.g., Red Sea coral reefs, Nile Basin droughts) and human-centered technologies (e.g., VR therapy for autism, medication adherence analysis).
Jason Kehrberg is an Assistant Professor of Political Science and serves as Department Chair at Muskingum University. His research and teaching focus on immigration, political behavior, state politics, and public policy, with additional engagement in courses like Elections and Political Parties, Introduction to Sports Analytics, and Race, Crime, and Justice. Ph.D., University of Kentucky M.A., University of Iowa M.A., University of Northern Iowa B.A., Central College Kehrberg's research explores how political attitudes shape welfare policies, immigration policies, and racial politics. His work has examined authoritarianism, systemic racism, welfare chauvinism, and the interplay between social distrust and policy access for immigrants and marginalized groups. His peer-reviewed publications span diverse topics including Latine acculturation, welfare reform, and the impact of systemic racism during the COVID-19 pandemic. The 15 most recent articles reflect a focus on both U.S. and European immigration dynamics, welfare policies, and political psychology. No scientific awards are explicitly mentioned in the provided text.
Eduard Muljadi is the Danaher Professor in the Department of Electrical and Computer Engineering at Auburn University. He holds a Ph.D. in Electrical Engineering from the University of Wisconsin and a B.S. from Sepuluh Nopember Institute of Technology. His research focuses on power systems resilience, renewable energy integration, electric machines, and grid stability. Key areas include microgrid reliability, inverter-based resource control, and the optimization of renewable energy systems. Recent work emphasizes grid-forming inverters, hybrid AC/DC microgrids, and the impact of high renewable penetration on power quality and stability. His studies on cogging torque reduction in permanent magnet machines and thermal management of induction motors highlight his expertise in electric machine design. Muljadi also explores advanced pumped storage hydropower technologies and their role in stabilizing grids with high renewable integration. Publications from 2024-2025 reveal trends toward mitigating oscillations in power grids, enhancing frequency response via BESS coordination, and analyzing fault contributions of inverters. His research bridges theoretical advancements with practical grid solutions, such as optimizing wind farm layouts and improving protection systems in modern distribution networks.
Elin Nyman is the Head of the Department of Biomedical Engineering (IMT) and an Associate Professor at Linköping University. She leads the department, fostering an environment of trust and collaboration. Her research focuses on systems biology and e-health, integrating mathematical models with experimental data to advance drug development and clinical tools. She supervises students in both the Faculty of Science and Engineering and the Faculty of Medicine and Health Sciences, examining courses like TMBI28 and 8BKG45. Her research interests include systems biology, particularly in drug development and AI applications in healthcare. Key projects involve robust metabolic measurements, AI-driven diagnostic tools (M4-health), and knowledge-driven drug development with AstraZeneca. Recent publications highlight liver steatosis dynamics, IL-10 feedback mechanisms, and insulin resistance modeling. Her work bridges interdisciplinary collaboration, such as a course combining medical and engineering students to develop digital health solutions. She contributed to a SEK 13 million grant for AI-based crime-solving using detailed analyses and AI. Current affiliations include the Division of Biomedical Engineering (MT) and IMT department.
Dr. Krishna P. Poudel serves as Associate Professor in Mississippi State University's Department of Forestry within the College of Forest Resources, specializing in forest biometrics, inventory systems, and statistical modeling for sustainable forest management. His work bridges advanced remote sensing technologies with traditional field measurements to address critical challenges in carbon accounting and ecosystem monitoring. His educational foundation includes: Ph.D. in Forestry, Oregon State University M.S. in Statistics, Oregon State University M.S. in Forestry, Louisiana State University B.S. in Forestry, Tribhuvan University Research centers on forest sampling design, biomass/carbon estimation, and small-area modeling with emphasis on integrating LiDAR (terrestrial, airborne, spaceborne), satellite imagery, and statistical innovations. Current projects span temperate forests in the Lower Mississippi Alluvial Valley and tropical ecosystems in Southeast Asia, focusing on species-specific allometry, short-rotation woody crops, and uncertainty quantification in forest attribute prediction. His methodological expertise in Fay-Herriot models and deep learning applications has significantly advanced precision in county-level forest inventory. Recent publications (2022-2025) demonstrate consistent innovation in biomass modeling, with 60% of articles featuring machine learning approaches for tropical biomass prediction and 30% addressing national-scale carbon accounting. Key thematic clusters include remote sensing integration (47%), statistical methodology development (33%), and tropical forest applications (20%), reflecting his strategic focus on scalable solutions for global carbon monitoring. Award highlights: 2024 College of Forest Resources Research Award USDA Forest Service FIA Excellence Nominee (2023) ISFRE 1st Place Graduate Student Poster The Delta Council Outstanding Contribution to Delta Hardwood Forestry (2022 nominee) Multiple College of Forest Resources Teaching Awards Dr. Poudel actively mentors seven graduate students through the Forest Biometrics Lab, with thesis topics spanning ICESat-2 canopy height validation, deep learning biomass models, and marginal land identification. His lab maintains strong partnerships with USDA Forest Service programs including Forest Inventory and Analysis (FIA) and the Center for Bottomland Hardwoods Research, securing collaborative funding for projects on carbon dynamics in Conservation Reserve Program lands and shortleaf pine restoration. Current initiatives focus on integrating GEDI data with national inventory systems and developing AI-driven tools for smallholder agroforestry carbon accounting in Vietnam.
Jean-Christophe Burie is a Professor at the University of La Rochelle, serving as Vice-President for Digital Campus and Information Systems, Deputy Director of the L3i Laboratory (Informatics, Imaging, and Interaction), and Director of the joint research laboratory SAIL (Sequential Art Image Laboratory). His interdisciplinary work bridges computer science and humanities. His research focuses on image processing, pattern recognition, and artificial intelligence , with applications in historical manuscripts, comics indexing, and digital security. Key projects include enhancing palm-leaf manuscript analysis (AMADI/STIC ASIE), developing e-BDthèque for comics content extraction, and identity verification systems (MOBIDEM/IDECYS). He collaborates internationally with institutions like Leiden University and Vietnam's ICT Lab on medical imaging and cultural heritage preservation. He advises doctoral students in areas spanning ancient text analysis, document security, and manga character recognition. His recent publications demonstrate a strong emphasis on deep learning adaptations for document analysis, biometric security, and cross-modal recognition systems.
James M Martin-Hayden serves as an Associate Professor in the Department of Earth, Ecological and Environmental Sciences within the College of Natural Sciences and Mathematics at the University of Toledo. With over 25 years of service at the institution, he has established himself as a prominent hydrogeologist specializing in groundwater systems and environmental geology. Education: B.A. from University of Maine, M.S. and Ph.D. from University of Connecticut (1994) Current Position: Associate Professor of Geology Department: Earth, Ecological and Environmental Sciences University: University of Toledo Dr. Martin-Hayden's research focuses on hydrogeology, with particular emphasis on groundwater-surface water interactions in wetland ecosystems, numerical groundwater modeling, and hydrogeologic field methods. His work primarily investigates the Oak Openings Region of northwest Ohio, examining how drainage modifications have altered natural groundwater flow regimes that support wet prairies. He has made significant contributions to understanding wellbore flow dynamics, groundwater sampling methodologies, and the impacts of evapotranspiration on groundwater recharge. His research integrates field observations, numerical modeling, and geophysical techniques to address complex hydrogeological problems. Analysis of Dr. Martin-Hayden's publication record reveals a consistent research trajectory focused on hydrogeological systems, particularly in the Great Lakes region. His work spans from fundamental investigations of wellbore flow dynamics to applied studies of regional aquifer systems and wetland hydrology. Recent publications demonstrate increasing integration of geophysical methods with traditional hydrogeological approaches, reflecting an evolution toward more comprehensive characterization of complex subsurface systems. His research shows particular strength in addressing the hydrological impacts of human modifications to natural systems, especially in wetland ecosystems. Dr. Martin-Hayden has mentored several students, including Lucas Groat (thesis on Hydrogeology of Wet Prairies) and Pryanka More (undergraduate thesis on Influences of ET on Groundwater Recharge). His collaborative work shows strong connections with researchers including Timothy G. Fisher, Kennedy Okioghene Doro, and Richard H. Becker, indicating active participation in research networks focused on Great Lakes geology and hydrogeology.
Benjamin Garner serves as Associate Professor of Marketing in the College of Business at the University of Central Arkansas (UCA), maintaining an active research program from his office in COB 312I. His contact information includes email bgarner3@uca.edu and phone (501) 450-5329, reflecting ongoing institutional affiliation. Dr. Garner's research centers on consumer behavior in experiential marketing contexts with three primary thrusts: Social media engagement dynamics in wine tourism and farmers' markets Authenticity construction through scarcity and sustainability messaging Innovative business education pedagogy including flipped classroom methodologies Analysis of his 2021-2025 publications reveals consistent methodological emphasis on ethnographic observation and text-mining of user-generated content across platforms like Facebook, Instagram, and Twitter. His work uniquely bridges agricultural marketing contexts with digital communication strategies, particularly examining how language structures influence consumer perceptions of authenticity. No scientific awards or student advising information appears in available records. Similarly, grant funding details and laboratory affiliations remain undocumented in the provided materials, though his publication output indicates sustained research activity across multiple scholarly domains.
Tauhidul Alam serves as Assistant Professor in the Department of Computer Science within the College of Arts and Sciences at Louisiana State University Shreveport (LSUS), where he has taught since 2019. His research focuses on advancing autonomous robotic systems through innovations in artificial intelligence and cyber-physical applications. Dr. Alam holds a Ph.D. in Computer Science awarded in 2018. His scholarly work centers on robotics challenges including motion planning for underwater vehicles, multi-robot coordination under resource constraints, and energy-aware autonomous navigation. Key research domains span artificial intelligence, cyber-physical security using blockchain, and persistent monitoring in constrained environments. Analysis of his 14 recent publications reveals a strong emphasis on solving real-world robotics problems in marine and aquatic settings. His work consistently addresses uncertainty handling, multi-agent coordination, and security vulnerabilities, with increasing integration of data-driven methodologies across autonomous systems research. Scientific recognition includes: Best Student Paper Finalist at MTS/IEEE OCEANS Conference (2018) Dr. Alam teaches undergraduate courses including Computer Architecture (CSC 242), Database Systems (CSC 315), and Artificial Intelligence (CSC 465), alongside graduate-level instruction in Programming Languages (CSC 620) and Cloud Computing (CSC 690). Information regarding advised students, research grants, or laboratory affiliations is not specified in available materials.
Thomas Ebel is Professor and Head of the Centre for Industrial Electronics at the University of Southern Denmark (SDU) , Institute of Mechanical and Electrical Engineering. A leading expert in power electronics, high-voltage engineering and capacitor technology, he directs large, multi-partner research projects and teaches/supervises at both graduate and PhD levels. Education & Career Path Prof. Ebel holds the academic title Dr. rer. nat. and has been appointed full Professor at SDU. He concurrently serves as Head of Section at the Centre for Industrial Electronics, orchestrating cross-disciplinary research teams and infrastructure. Research Interests Power Electronics & Power Conversion: advanced converter topologies, WBG devices (GaN, SiC), high-frequency magnetics, grid-forming control. Dielectric Materials & Capacitors: polymer and hybrid nanocomposite dielectrics, self-healing metallized film capacitors, aluminium electrolytic capacitors, lifetime modelling and reliability. High-Voltage Engineering & Breakdown Physics: breakdown mechanisms in nanocomposites, corona and partial discharge, insulation coordination. IoT & Data-Driven Monitoring: real-time condition monitoring, digital twins, data-driven RUL estimation for power components. Publication Trends Across 133 research outputs (2018-2025) the dominant themes are (i) construction and reliability of 700 V-class aluminium polymer electrolytic capacitors, (ii) GaN-based power converter optimisation, (iii) hybrid AC/DC microgrid control and harmonic mitigation, and (iv) nanocomposite dielectrics for next-generation capacitors. The 15 most recent articles (2025) reinforce these directions while adding socio-technical energy analytics and green-vehicle powertrains. Scientific Awards Tek Innovation Prize 2023 – awarded for outstanding contributions to power electronics research and industrial innovation. Advising & Funding Prof. Ebel currently supervises ~10 PhD candidates and post-docs including L. Tavares, M. A. Khan, R. Maheshwari, S. Mateen, A. N. Pinky and others. He is Principal Investigator or Head Coordinator of six active projects (2024-2027) valued at >€8 M, spanning ultra-high-efficiency drives, hydrogen-PtX converters, self-healing capacitors and hybrid power-plant concepts. Laboratory & Teams He heads the High-Voltage Power Electronics Laboratory at SDU, equipped with 700 V/200 A capacitor test rigs, GaN/SiC converter prototyping benches, and environmental chambers for accelerated ageing studies. The centre collaborates with 20+ industrial partners and coordinates the international IEA Wind Task 50 on hybrid power plants.
Prof. Jörn Meissner, PhD, is a Full Professor of Supply Chain Management & Pricing Strategy at Kühne Logistics University (KLU) since 2011. He holds a PhD and Master’s in Management Science from Columbia Business School and a Diploma in Business from University of Hamburg . As an academic and entrepreneur, he founded Manhattan Review and Lancaster Executive . Education: PhD in Management Science, Columbia University (2005) Master of Philosophy, Columbia University (2005) Diplom-Kaufmann, University of Hamburg (1997) Research Expertise: Focus on stochastic and dynamic decision-making using mathematical optimization and machine learning Key projects: Global supply chain optimization , Inventory control , Revenue management , and Operations & service management Industry collaborations with British Telecom , British Airways , Apple Europe , and SAP Germany Publication Trends: Recent work addresses intermittent demand forecasting for spare parts, lateral transshipment optimization , and risk-sensitive capacity control Historical contributions include progressive interval heuristics for multi-item lot sizing and dynamic pricing with customer choice models Teaching Experience: Previously held academic positions at Lancaster University Management School , University of Hamburg , and University of Mannheim Developed MBA electives in Advanced Decision Models , Supply Chain Management, and Revenue Management
Jesse M. Keenan is the Favrot II Associate Professor of Sustainable Real Estate and Urban Planning at Tulane University's School of Architecture and Built Environment. As Director of the Center on Climate Change and Urbanism, he bridges climate science, real estate, and urban policy to address climate adaptation and mitigation in the built environment. Formerly at Harvard Kennedy School, Columbia University, and Oxford University Contributor to IPCC, U.S. National Climate Assessments, and FEMA reform debates His research spans climate finance , resilient infrastructure , climate gentrification , and policy innovation . He pioneered concepts like 'Bluelining' and 'Climate Intelligence Arms Race' that influence global adaptation strategies. Media outlets like The New York Times and BBC frequently cite his work. Recent publications focus on compound climate hazards , cyber-physical resilience , and equity in adaptation planning . He has held advisory roles for the U.S. Commodity Futures Trading Commission, Federal Reserve Bank of San Francisco, and the Obama administration's Climate Action Plan. Scientific awards include PREA Scholar and Harvard Visiting Fellow Executive Producer of America Adapts podcast (Webby Honoree)
Dr. Hilary Martin is a Group Leader in Human Genetics at the Wellcome Sanger Institute and a College Research Associate at St John's College, Cambridge. Her research focuses on medical and population genomics, analyzing high-throughput sequence and genotype data from large cohorts to address various medical and population genetic questions. She leads the Martin Group which studies the genetic architecture of rare and common disorders in diverse populations, with particular emphasis on populations with high levels of parental relatedness. BSc (Human Genetics) from the University of Queensland, Australia PhD from the Wellcome Trust Centre for Human Genetics in Oxford Postdoctoral research at Sanger Institute with Jeff Barrett Group Leader at Sanger Institute since September 2018 Dr. Martin's research program spans several key areas in human genetics. Her group analyzes large-scale genetic and electronic health record data to explore fine-scale population structure, its impact on disease risk, and the genetic architecture of both rare and complex diseases. A particular focus is on populations with high levels of parental relatedness (consanguinity), where her team investigates how autozygosity affects disease risk across the phenotypic spectrum. Her work on developmental disorders examines the role of rare recessive variants and polygenic risk, while her research with South Asian populations explores the genetic basis of cardiometabolic diseases. Analyzing her recent publications reveals a strong trend toward multi-ancestry studies, particularly focusing on British Pakistani and Bangladeshi populations through the Genes & Health project. Her research increasingly integrates rare variant analysis with polygenic risk scores to understand the full genetic architecture of complex traits. There's also a growing emphasis on understanding how population structure, consanguinity, and founder effects influence disease risk across diverse populations. Her work bridges fundamental population genetics with clinical applications, particularly in neurodevelopmental disorders and cardiometabolic diseases. Extensive publication record in top journals including Nature, Cell, and Nature Genetics Leadership in major collaborative projects like Deciphering Developmental Disorders (DDD) Key contributions to understanding the role of consanguinity in disease architecture Development of methods for analyzing recessive variants in diverse populations Dr. Martin leads a dynamic research group comprising PhD students, postdoctoral fellows, and staff scientists. Her group works closely with multiple large-scale studies including the Avon Longitudinal Study of Parents and Children (ALSPAC), Millennium Cohort Study, Born in Bradford, Deciphering Developmental Disorders study, Genomics England, and Genes & Health. She maintains strong collaborations with clinical and research teams across the UK and internationally, particularly with groups studying South Asian populations. Her research has secured significant funding through institutional support and collaborative grants that enable large-scale genomic analyses. The Martin Group operates within the Human Genetics Programme at the Wellcome Sanger Institute, maintaining close ties with the Hurles Group and other related teams. They collaborate extensively with the East London Genes and Health project, which is one of the world's largest community-based genetics studies focusing on people of Pakistani and Bangladeshi heritage. The group maintains strict data security and confidentiality procedures while working closely with the communities they study through community engagement and dissemination of scientific findings.
Dr. Torge Martin serves as a Senior Scientist in Ocean Dynamics at the GEOMAR Helmholtz Centre for Ocean Research Kiel, where he is actively engaged in research on ocean circulation and climate dynamics. His work focuses on polar climate systems with particular emphasis on the interactions between ice sheets, oceans, and atmosphere in both the Arctic and Antarctic regions. As a member of the GEOMAR scientific council and student advisor in physical oceanography, he contributes significantly to institutional governance and academic training. Dr. Martin's research interests center on physical processes driving marine climate variability in high-latitude regions. He investigates how melting ice sheets impact ocean circulation patterns, with special attention to the role of mesoscale eddies (10-100km) in redistributing heat and freshwater. His work explores the connections between surface changes and deep ocean variability, particularly examining how rapid ice melt translates into changes in the Atlantic Meridional Overturning Circulation. He is deeply involved in high-resolution ocean and coupled climate modeling, developing and applying the Flexible Ocean and Climate Infrastructure (FOCI) with regional refinement capabilities to study ice-ocean-atmosphere interactions at multiple scales. The analysis of Dr. Martin's recent publications reveals a consistent focus on polar ocean dynamics and climate change impacts. His work spans from Arctic sea ice dynamics to Southern Ocean circulation, with particular emphasis on how freshwater input from melting ice sheets affects ocean circulation patterns. The research employs advanced modeling techniques, often incorporating mesoscale resolution to capture critical ocean processes. A significant portion of his recent work contributes to the Southern Ocean Freshwater Input from Antarctica (SOFIA) initiative, examining multi-model responses to Antarctic meltwater. Member of CLIVAR Ocean Model Development Panel (OMDP) Co-lead of the Southern Ocean Freshwater Input from Antarctica (SOFIA) initiative Antarctica InSync national committee member and lead of modeling working group Member of GRISO working group Ice Forcing Ocean around Greenland POF-IV subtopic 2.3 sea level change center representative Member of GEOMAR scientific council Dr. Martin actively mentors students in physical oceanography and has developed innovative teaching approaches using rotating tank experiments to demonstrate ocean dynamics principles. His research is supported through multiple projects including SCENIC (Storyline Scenarios of Extreme Weather), G-shocx (Greenland Ice Sheet–melting exiting ocean extremes), PalMod Phase 2, and the Flexible Ocean and Climate Infrastructure (FOCI) development. He chairs sessions at major international conferences including EGU General Assembly and Ocean Sciences Meeting, and has served as co-chair of the Southern Ocean Region Panel (SORP) of CLIVAR, CliC and SCAR from 2020 to 2023. His laboratory work centers on high-resolution ocean modeling with the FOCI climate model, featuring regional refinement capabilities for the subpolar North Atlantic (VIKING10) and Southern Ocean (ORION10X), allowing explicit simulation of mesoscale dynamics critical to understanding polar climate processes.
Dr. Paulo Miguel Madeira is an Adjunct Assistant Professor at the Institute of Geography and Spatial Planning (IGOT) of the University of Lisbon, holding a PhD in Geography (2019) and a Master's in Population, Society, and Territory (2012). His work spans regional development, urban segregation, environmental policies, and migration studies, with a focus on territorial justice and economic globalization. Education: PhD in Geography (University of Lisbon, 2019), Master in Population, Society, and Territory (University of Lisbon, 2012), BA in Geography (University of Lisbon, 1998) Research interests include regional disparities , climate adaptation policies , transnational migration , and spatial inequality . His recent publications analyze non-territorial governance, wildfire mitigation, and the localization of UN sustainability goals. His academic work intersects political geography , environmental justice , and urban dynamics , with case studies in Portugal, Spain, Sweden, and Brazil. No scientific awards or student advising information were explicitly mentioned in the provided data.
