Ayman El-Hag is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. He is affiliated with the Outdoor Insulation and Condition Monitoring Research Group, focusing on advancing technologies for high-voltage insulation systems and smart grid infrastructure. His work integrates machine learning, signal processing, and materials science to improve condition monitoring and diagnostic methods for power equipment. Research interests include partial discharge detection using UHF and acoustic sensors, machine learning applications for defect classification in outdoor insulators, and the development of non-invasive sensing techniques for real-time monitoring. He also explores energy management systems leveraging fuzzy logic and smart meter data analysis for residential and grid-level applications. Recent publications highlight advancements in capsule networks for insulator discharge prediction, deep learning-based hydrophobicity classification, and novel antenna designs for partial discharge localization. His work emphasizes practical solutions for power system reliability and environmental resilience of insulation materials under extreme conditions. El-Hag is a Full-time faculty member and holds Adjunct faculty status, contributing to interdisciplinary research projects. He actively engages in promoting condition monitoring methodologies through educational initiatives and industry partnerships.
James Adams is the President's Professor in the School for Engineering of Matter, Transport and Energy at Arizona State University (ASU), serving as the undergraduate program chair for materials science and engineering within the Ira A. Fulton Schools of Engineering. His research spans computational materials modeling and biomedical investigations into autism-related issues such as nutritional deficiencies, heavy metal toxicity, and gut microbiome dysregulation. He directs the Autism/Asperger's Research Program at ASU, focusing on translational research to improve clinical outcomes. Education: Ph.D. Materials Science and Engineering, University of Wisconsin-Madison (1987) M.S. Materials Science and Engineering, University of Wisconsin-Madison (1986) B.S. Physics, Duke University (1984) Research Focus: Adams bridges materials science and biomedical engineering, with seminal work on microbiota transfer therapy for ASD, metabolomics in autism, and heavy metal toxicity. His studies emphasize clinical applications, including nutritional interventions and dietary therapies to address gastrointestinal and neurobehavioral symptoms in children with ASD. Grants & Awards: Presidential Young Investigator Award (NSF, 1996–1998) Over 30 research grants from NSF, DOE, and industry partners (e.g., Motorola, CFD Research Corp) Labs/Initiatives: Biodesign Center for Health Through Microbiomes Autism/Asperger's Research Program Teaching: Courses include undergraduate/graduate research supervision (MSE 792, 799), honors thesis指导, and engineering foundations (FSE 100). He mentors students in materials science, biomedical engineering, and interdisciplinary projects.
Xiuzhen Jenny Zhang is a Professor of Data Science at RMIT University , affiliated with the School of Computing Technologies. Her research bridges artificial intelligence, machine learning, and social media analysis, with a focus on text mining and trustworthy data science. Her recent publications highlight expertise in point-of-interest recommendation , misinformation detection , multi-task learning , and transformer-based NLP . Key trends include applications of large language models for social good, fairness in recommendation systems , and adversarial learning for robustness. Best Paper Award at TrustCom’12 Best Short Paper Award at ADCS’2009 She leads the Text And LanguagE (TALE) research group and has supervised over 20 PhD students. Research grants include Australian Research Council and Victoria state government funding.
Malte Ebach is an Honorary Associate Professor at the School of Biological, Earth & Environmental Sciences, University of New South Wales (UNSW). His primary affiliation is with UNSW’s Science faculty, where he contributes to teaching and research in biogeography and systematics. He has held collaborative roles with institutions like CSIRO Publishing and the Linnean Society, and his work spans multiple disciplines involving classification and natural history. Ebanch’s research focuses on Australasian and Gondwanan biogeography, emphasizing natural classification methods such as cladistics and Goethean science. He critically examines historical taxonomic practices, advocating for rigorous area taxonomy and the integration of tectonic data into bioregionalization. Key themes include transition zones, the legacy of 19th-century plant and animal geography, and the revival of bioregionalization in the context of modern geology. He has authored or co-authored over 20 books since 2004, including Biotectonics of Neotropical Transition Zones (2024) and Goethe in the Age of Artificial Intelligence (2023). His edited works include Handbook of Australasian Biogeography (2017) and Biogeography in a Changing World (2006). His recent publications analyze tectonic influences on biogeography, SARS-CoV-2 taxonomy, and the philosophical underpinnings of classification systems. Ebanch’s teaching roles at UNSW include convening GEOS1111 Fundamentals of Geology and GEOS3071 Life on a Dynamic Earth , and lecturing in GEOS1211 Earth and Environmental Science . He critiques emerging trends in taxonomy, such as DNA barcoding, and emphasizes the need for intuitive, historically grounded methods in systematics.
Cara Tomaso, Ph.D., is an Assistant Professor and licensed clinical psychologist specializing in pediatric psychology at Yale School of Medicine. Her practice is embedded within the Section of Pediatric Orthopaedics and Rehabilitation at Yale New Haven Hospital, where she contributes to the Yale Limb Restoration and Lengthening Program and the Female+ Athlete Program. She provides behavioral health consultation to multidisciplinary teams and direct interventions for youth and families navigating chronic/acute health conditions, surgical readiness, and behavioral pain management. Dr. Tomaso’s education includes a PhD from the University of Nebraska-Lincoln (2023) and postdoctoral training at the Yale Child Study Center (2024). Her research focuses on the interplay between executive control, mental health, sleep, and obesity-related outcomes across developmental stages. Her work integrates longitudinal studies on childhood executive function’s role in BMI trajectories, pandemic-related psychopathology buffering, and neurobiological mechanisms of obesity. She has published extensively on adolescent health behaviors, sleep’s impact on mood/emotion regulation, and culturally informed approaches to stress resilience in college students. Dr. Tomaso’s clinical and research expertise bridges behavioral medicine, developmental psychology, and pediatric healthcare systems.
Bryce Kanago is an Associate Professor of Economics at the University of Northern Iowa (UNI). He has been with the Economics Department since 2000, starting as an Assistant Professor and advancing to his current rank by 2005. His research focuses on macroeconomics, economic history, and econometrics, with notable work on supply shocks, sports economics, and historical financial dynamics. Research interests include the analysis of real GDP and price deflators, the historical impact of major events on economic systems, and the application of econometric models to understand economic behavior. His work often explores the intersection of economic theory with empirical data, particularly in contexts such as sports economics, international finance, and the effects of inflation and uncertainty on economic outcomes. His recent publications include studies on the comovement of GDP and price deflators during the Great Moderation, the competition for leisure dollars in early 20th-century America through MLB's lens, and analysis of supply shocks in OECD countries. Earlier work delves into historical exchange rates during WWII and inflation uncertainty dynamics. No scientific awards or grants are explicitly mentioned in the provided texts. Advising details and lab affiliations remain unspecified.
Samira Ghayekhloo is an Assistant Teaching Professor at Arizona State University's School of Computing and Augmented Intelligence since Fall 2019. She previously served as an Assistant Professor at Azad University, Iran (2016–2018). Holding a Ph.D. in Artificial Intelligence from Eastern Mediterranean University (2016), she specializes in Data Processing, Expert Systems, and Knowledge Representation. Her research focuses on semantic web services, data visualization, and e-learning impacts. Education: Ph.D. in Artificial Intelligence, Eastern Mediterranean University, 2016 Research Interests: Data Processing: Visualization, Analysis Expert Systems: Knowledge Representation, Semantic Web Services Publications: Her work spans semantic web service discovery frameworks, e-learning impact analyses, and IT governance models. Notable contributions include rubric-based evaluation frameworks for semantic web services and comparative studies between ITIL and COBIT. Service & Leadership: CSE Undergraduate Program Committee Member (2024–Present) Co-Advisor for Women in Computer Science (2024–Present) MCS Online Course Coordinator for CSE 579 & CSE 578 (2022–Present) ABET Coordinator at Eastern Mediterranean University (2012–2015) Teaching: Teaches advanced courses like Knowledge Representation, Data Visualization, and Statistical Machine Learning. Active in mentoring and curriculum development for online programs.
Dr. Zhao Na is a tenure-track Assistant Professor at the Singapore University of Technology and Design (SUTD), affiliated with the Institute of Sustainable Technology and Design (ISTD). She holds a Ph.D. in Computer Science from the National University of Singapore (NUS), where her thesis on 3D point cloud semantics earned the IMDA Excellence Prize. Her research bridges computer vision and machine learning, focusing on scene understanding, data-efficient learning, and domain generalization. Education: Ph.D. in Computer Science (NUS, 2021); Prior roles include Research Fellow at NUS. Research interests emphasize 3D scene analysis, object detection, semantic segmentation, and robust learning under noisy or limited data. Her work addresses challenges in multi-modal learning, continual learning, and open-world scenarios. Recent projects include geometry-semantics synergy in neural fields and cross-modal augmentation for visual grounding. Publications span top-tier venues like CVPR, ECCV, and ICCV, with a focus on 3D vision and AI. Key contributions include the PCTeacher framework for semi-supervised segmentation and Static-Dynamic Co-Teaching for incremental learning. Scientific Awards: IMDA Excellence Prize (2021). Active grants include a DSO Research Grant (2023–2026) and A*STAR MTC Grant (2023–2026). She leads the SUTD-ZJU Thematic Grant on 3D scene understanding (2022–2024). Laboratory/Team: Research group at ISTD/SUTD focuses on advancing AI-driven 3D perception and scene understanding systems.
Prof. Peter van der Heijden is a Professor of Statistics for the Social and Behavioural Sciences at Utrecht University's Department of Methodology and Statistics. He also holds a professorship in Social Statistics at the University of Southampton. His roles include chairing the Ethical Review Board and the Committee for Policy on Integrity at Utrecht's Faculty of Social and Behavioural Sciences. He chairs the Advisory Council on Methodology and Quality of Statistics Netherlands and serves on the Executive Board of the European Statistical Advisory Committee (ESAC). Since 2017, he has led Utrecht's Applied Data Science focus area, focusing on human-centered AI and data-driven solutions. His research emphasizes population size estimation, fraud detection, and categorical data analysis, with applications for Dutch ministries and international bodies like the UN. He has pioneered methods for estimating human trafficking victims and optimizing healthcare treatments using multilevel models and neural networks. Key projects include the AI for Health initiative with Utrecht Medical Center and Wageningen University. His work bridges statistical rigor with societal impact, addressing challenges in criminal justice, public health, and policy-making through innovative methodologies. Universities: Utrecht University (Primary), University of Southampton Key Committees: European Statistical Advisory Committee, UN Human Trafficking Monitoring Research Themes: Multiple Systems Estimation, Data Science for Social Issues Research interests span statistical methods for complex societal problems, including: Register linkage and fraud detection Machine learning applications in healthcare Human trafficking prevalence estimation His publications (2019-2023) highlight advancements in multilevel modeling, randomized response techniques, and AI-driven clinical data classification. He has advised on policy frameworks for official statistics and contributed to global initiatives like the UN Sustainable Development Goals (Target 16.2). Grants and collaborations include projects with Dutch ministries, the EU, and international organizations. Current initiatives involve optimizing Hepatitis C treatment networks and improving criminal recidivism prediction models. His leadership in interdisciplinary teams ensures methodological innovation addresses real-world challenges.
Jean-Marc Jezequel is a Professor of Software Engineering at University of Rennes , affiliated with CNRS , Inria , IRISA , and Institut Universitaire de France (IUF) . His research focuses on Model-Driven Engineering , Software Product Lines , Dynamic Adaptation , and Executable Meta-languages . Key Contributions : Pioneering work in aspect-oriented and model-driven approaches for software evolution Foundational research on model transformations (e.g., UMLAUT framework) Advances in testing and validation of distributed systems Research Trends from his recent publications include: Intelligent modeling assistance integrating machine learning Contextual variability modeling for complex systems Runtime model execution for self-adaptive systems Formal methods and constraint resolution for UML validation Collaborations include researchers from Luxembourg, Montreal, Colorado State University, and INRIA.
Stephen Shapiro is Professor of English Literature at the University of Warwick, specializing in American literature, cultural studies, and Marxist theory. His academic journey began with a chemistry degree in New York State before shifting to English literature, with studies at Birmingham University's Department of Cultural Studies and research at the Gramsci Institute in Rome. Prior to Warwick, he taught at Harvard University, the New School, and John Jay College for Criminal Justice (CUNY), and has held prestigious fellowships including a Fulbright at Saarland University (1997-98), a Royal Shakespeare Company/Capital Fellowship (2008-09), and fellowships at UC Irvine, Heidelberg University, and Babeș-Bolyai University. First degree in Chemistry (New York State) Graduate studies in English Department of Cultural Studies (Birmingham University, England) Research at Gramsci Institute in Rome Shapiro's research spans American literature, cultural studies, Marxism, world-systems analysis, urban studies, spatial theory, and television studies. His current book projects include The Cultural Fix: Marx and the Organic Composition of Capital , which bridges French and English editions of Marx's Capital , and The Twist: Capital, Data, and Cultures of the Intersectional Left , analyzing contemporary capitalist temporalities. He is also working on a critical edition of Charles Brockden Brown's Memories of Stephen Calvert , examining early American literature's treatment of male-male sexuality. His scholarship consistently connects literary analysis with political economy, exploring how cultural forms engage with capitalist structures. Shapiro's recent publications reveal a trajectory from traditional literary studies toward increasingly interdisciplinary work that integrates world-systems theory, digital capitalism, and intersectional politics. His scholarship demonstrates a consistent engagement with Marxist theory while expanding into analyses of algorithmic governance, zombie studies, and the cultural politics of horror. The 2020-2025 publications show particular focus on how literary and cultural forms interact with contemporary crises of capitalism, including data-driven neoliberalism, resurgent fascism, and intersectional left movements. Best Collection Award 2019, British Association for Contemporary Literary Studies (BACLS) Honorable Mention, BAAS prize for best book in American Studies published during 2008 Shapiro has been actively involved in collaborative scholarly projects, particularly through his work with Philip Barnard on Charles Brockden Brown editions and with the Warwick Research Collective (WReC). He co-founded the Warwick Centre for Global Jewish Studies and has contributed to institutional initiatives including the successful application for Warwick's Race Equality Charter Mark (Bronze). His editorial work spans numerous collections that bridge literary studies with political economy, cultural theory, and world-systems analysis. Shapiro is a founding member of the Warwick Research Collective (WReC), which has produced influential work on combined and uneven development in world literature. He serves on the university's Race Equality Taskforce and was instrumental in securing Warwick's Race Equality Charter Mark. His involvement with the WReC demonstrates his commitment to moving beyond traditional literary and cultural studies frameworks toward more globally oriented, politically engaged scholarship that connects literary analysis with economic and ecological concerns.
Andrew J Whelton is a Professor of Civil and Construction Engineering at Purdue University's College of Engineering, with concurrent appointments in Sustainability Engineering and Environmental Engineering. He serves as Director of the Healthy Plumbing Consortium and Lead for the Center for Plumbing Safety, focusing on water quality, chemical contamination, and public health in building plumbing systems. Professor, Civil and Construction Engineering Professor, Sustainability Engineering Professor, Environmental Engineering Director, Healthy Plumbing Consortium Lead, Center for Plumbing Safety His research spans environmental engineering and public health, with key themes including chemical contamination from plastic pipe degradation, post-disaster water system recovery, wildfire-related water quality impacts, and microbial risks in premise plumbing. Recent work addresses crises like the East Palestine chemical spill and Maui wildfires, while also developing predictive models for water quality and evaluating sustainable infrastructure materials. Scientific awards and recognitions include: Rapid Response Research (RAPID) Grants from NSF for disaster-related studies Environmental Protection Agency (EPA) support for building water quality programs Leadership in interdisciplinary consortia focused on plumbing safety Development of novel tools for water quality monitoring and remediation His publications reveal trends in: Chemical leaching from plastic piping materials Environmental justice in water contamination crises Integration of machine learning for water quality prediction Microbial ecology in stagnant plumbing systems Policy recommendations for disaster response Sustainable material innovation for infrastructure
Hanna Breunig is a Research Scientist at Lawrence Berkeley National Laboratory and Deputy of the Sustainable Energy & Environmental Systems Department. She holds a secondary appointment in the Earth Systems and Society Domain within the Climate and Ecosystem Science Division. Her work focuses on validating emerging energy technologies through process design, techno-economic modeling, and market analysis. Education: PhD in Civil and Environmental Engineering from UC Berkeley (2015), MSc (2011), and BSc from Cornell University (2010). Her research spans hydrogen storage , CO2 capture/utilization , brine management , and technoeconomic modeling for systems in data centers, hospitals, mines, aviation, and ports. She co-leads the DOE HyMARC consortium and the systems analysis team for the ARCHES California Hydrogen Hub. Recent publications highlight advancements in metal-organic frameworks (MOFs) for hydrogen storage, solar hydrogen production , and high-temperature thermal energy storage . She has received accolades like the 2023 Energy & Environmental Science Lectureship and 2014 Schmidt MacArthur Fellowship. Scientific Awards: 2023 Energy & Environmental Science Lectureship 2021 Early Scientific Career Award 2019 CEC Bioenergy Project Leadership 2017 LDRD Early Career Award 2014 Schmidt MacArthur Fellowship Hanna mentors graduate and undergraduate students and contributes to tools like the BioSiting v2 software for U.S. bioeconomy resource analysis.
Ivana Barišić, PhD , is an Associate Professor at the Department of Accounting , Faculty of Economics and Business, University of Zagreb . Her academic journey includes a PhD in Public Sector Cost Governance (2006), MSc in Accounting and Finance (2005), and BSc in Accounting (1999), all from the University of Zagreb. Research Focus: Cost accounting in public sectors, managerial accounting for higher education and healthcare, telecommunications cost modeling, and internal audit frameworks. Teaching: Delivers courses in accounting, cost accounting, tax accounting, and managerial accounting at the University of Zagreb, with guest lectures at institutions like Alpen-Adria University Klagenfurt and FH Campus 02 Graz. Projects: Led ABC implementation at Clinical Hospital Centre Zagreb and BSC performance measurement projects. Participated in EU-funded initiatives and Croatian Science Foundation grants. Publications: 15+ articles on internal audit, cost management, and corporate governance, with recent work on risk-based auditing and digital transformation in accounting education. Academic Recognition: No explicitly mentioned awards in provided data. Her email is ibarisic@efzg.hr, and office hours are Tuesday 13:00-15:00.
Dr. Jianbing Li is a Professor and Professional Engineer (P.Eng.) in the Environmental Engineering Program at the University of Northern British Columbia (UNBC), holding prestigious fellowships from CSCE, CSSE, EIC, and Engineers Canada. His research program addresses critical environmental challenges with significant real-world impact, particularly in northern and remote communities of British Columbia. Education: PhD in Environmental Systems Engineering, University of Regina Research Focus: Dr. Li's work centers on environmental pollution control , petroleum waste management , soil and groundwater remediation , environmental modeling , risk assessment , and oil spill response . His innovative approaches integrate machine learning, advanced materials, and sustainable engineering principles to develop practical solutions for complex environmental problems, with particular emphasis on resource recovery from waste streams. Publication Trends: Analysis of his 15 most recent publications (2023-2025) reveals a strategic focus on oil spill response technologies, wastewater treatment innovations, and waste valorization. Key advancements include nano/micro bubble flotation systems, chitosan-based adsorbents, and machine learning models for pyrolysis optimization, demonstrating his leadership in translating laboratory research to field applications. Scientific Recognition: 2024 Fellow of Engineers Canada and Engineering Institute of Canada 2023 CSCE Dr. Albert E. Berry Medal (Canada's top environmental engineering award) Multiple UNBC Research Excellence Awards (2010, 2014, 2019, 2023) 2013 Northern BC Business and Technology Award with Husky Energy Best paper awards from International Academy of Science and Environmental Geotechnology Society Research Leadership: Dr. Li has secured over $800,000 in 2023 and $1.9 million in 2020 for oil spill response research through NSERC, DFO, and NRCan. His current portfolio includes groundwater protection for Indigenous communities, next-generation decanting technologies, and water security for remote regions. He actively mentors PhD, MSc, and MASc students while serving on NSERC evaluation committees and co-directing the UNBC/UBC environmental engineering program (2013-2017). Collaborative Networks: Dr. Li leads multi-institutional partnerships with UBC, government agencies, industry (including Husky Energy), and Indigenous communities like Lheidli T'enneh First Nation. His work through the Multi-Partner Research Initiative addresses practical challenges in rural British Columbia while advancing fundamental knowledge in environmental systems engineering.
