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Wang ChunView profile

Associate Professor

• Operations Management
• Stochastic Control
• Decision-Making under Uncertainty
• +9 more

Wang Chun is a tenured Associate Professor in the Department of Management Science and Engineering at the School of Economics and Management, Tsinghua University. He currently serves as Deputy Director of the department and has held academic positions at Tsinghua since 2017. His work bridges stochastic control, reinforcement learning, and machine learning applications in operations management and financial technology. Education: Bachelor's Degree from Tsinghua University (2005) Master's Degree from the University of Wisconsin-Madison (2008) Doctorate in Operations Research from Columbia University (2014) Research Interests: His research focuses on stochastic control and decision-making under uncertainty, particularly in inventory management, revenue management, financial engineering, and sports analysis. He also investigates reinforcement learning algorithms for dynamic optimization and applies machine learning to business data analytics and financial technology. Published Work Trends: Wang’s publications span operations research, financial mathematics, and computational management science. Recent studies address seasonal optimization patterns, robust inventory models, and game-theoretic approaches to sports analytics. His work integrates theoretical advancements in dynamic programming with practical applications in financial engineering and market microstructure. Career History: 2023–Present: Associate Professor, Tsinghua University 2020–2023: Associate Professor, Tsinghua University 2017–2020: Assistant Professor, Tsinghua University Researcher at KCG (New York), leading studies on quantitative investment and asset optimization

Jeremy M G TaylorView profile

Professor

• Biostatistics
• Survival Analysis
• Longitudinal Data Analysis
• +5 more

Jeremy M G Taylor is the Pharmacia Research Professor of Biostatistics and holds professorships in the Department of Radiation Oncology in the School of Medicine and the Department of Computational Medicine and Bioinformatics at the University of Michigan. He serves as the Associate Director for Biostatistics at the Comprehensive Cancer Center and directs both the University of Michigan Cancer Center Biostatistics Unit and the Cancer/Biostatistics training program. His educational background includes: B.A. in Honours Mathematics from Cambridge University (1978) Dip. Stat. in Statistics from Cambridge University (1979) PhD in Statistics from University of California, Berkeley (1983) Professor Taylor's research focuses on the theory and application of statistics to biomedical problems, with an emphasis on data-driven, robust, and flexible statistical methods that incorporate scientific knowledge from specific research domains. His theoretical interests span Box-Cox power transformations, robust methods, causal inference, nonparametrics, and smoothing techniques. His applied work centers on cancer and AIDS research, particularly in radiation oncology, where he has developed methods involving mixture models, stochastic processes, multistate models, and multiple imputation. His extensive publication record demonstrates a continued focus on survival analysis, longitudinal data modeling, biomarker evaluation, and clinical trial design. Recent work explores time-varying effects, joint modeling approaches, multiple imputation techniques, and the integration of external information into statistical models, with applications across various cancer types including prostate, head and neck, and liver cancers. Awarded the Mortimer Spiegelman Award from the American Public Health Association, the Michael Fry Award from the Radiation Research Society, and the Jerome Sacks Award from the National Institute of Statistical Sciences, Professor Taylor has established himself as a leading biostatistician in cancer research methodology. With over 35 years of academic experience (UCLA 1983-1998, University of Michigan 1998-present), Professor Taylor has maintained an active research program while mentoring numerous students and collaborating extensively with clinical researchers. His work bridges sophisticated statistical methodology with practical applications in cancer treatment and outcomes research. As director of the Cancer Center Biostatistics Unit and the Cancer/Biostatistics training program, he leads a significant research team focused on advancing statistical methods for cancer research and training the next generation of biostatisticians.

Hamed NematiView profile

Assistant Professor

• Security of systems software
• Formal methods and program logics
• Interactive theorem proving
• +2 more

Hamed Nemati is an Assistant Professor at the Division of Network and Systems Engineering under the School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology in Stockholm, Sweden. He was previously a Visiting Assistant Professor at Stanford University and a Research Group Leader at the Helmholtz Center for Information Security (CISPA) , where he also worked as a PostDoc and Research Fellow. Education : PhD in Computer Science from KTH Royal Institute of Technology Research Interests : Security of systems software, formal methods and program logics, interactive theorem proving, machine code analysis, applied machine learning Current Projects : Systematic verification of multi-language security protocols, hardware-software co-design for Spectre mitigation, capability-based access control models Scientific Awards : WASP (Wallenberg AI, Autonomous Systems and Software Program) faculty member Teaching Activities : Formal Methods in Security (Fall 2020-2023) at CISPA/Saarland University Digital Forensics and Incident Response (EP2780) (Fall 2024) at KTH

• Hydrogeology
• Groundwater
• Stochastic Modelling
• +16 more

Dr. Alraune Zech is an Assistant Professor for Computational Environmental Hydrogeology at Utrecht University, Faculty of Geosciences, Department of Earth Sciences, Hydrogeology group. Her research focuses on groundwater flow and transport processes in heterogeneous environments, with emphasis on practical applications in contaminated aquifers, PFAS remediation, and construction-related groundwater issues. She is affiliated with the Helmholtz-Centre for Environmental Research and serves as convener for EGU sessions on contaminant transport. Dr. Zech's educational background includes: PhD in Computational Hydrosystems from Friedrich-Schiller-University Jena and Helmholtz-Centre for Environmental Research (2010-2013) Prediploma Degree in Business Mathematics from University Leipzig (2011) Diploma in Mathematics with minor in Chemistry from University Leipzig (2003-2009) Her research interests span hydrogeology, groundwater modeling, and environmental remediation. She specializes in stochastic and computational modeling of subsurface processes, with focus on contaminated aquifers, PFAS removal strategies, biodegradation, bioremediation, and heat transport in the subsurface. Her work bridges theoretical approaches with practical applications in construction engineering and environmental protection. Analysis of Dr. Zech's recent publications (2021-2025) reveals strong focus on advancing hydrogeological modeling techniques, particularly in aquifer heterogeneity characterization, machine learning applications in hydrogeology, and practical remediation strategies. Her work spans fundamental research on pore-scale processes to field-scale applications, with increasing integration of artificial intelligence methods for solving complex groundwater problems. Dr. Zech leads several significant research projects: Living Lab PFAS Remediation (2024-2028): Developing strategies for PFAS contamination SilPit (2024-2028): Studying erosion of silicate grouting in construction pits MIBIREM (2022-2027): Creating innovative technological toolbox for bioremediation She actively supervises multiple PhD students including Alexandra Hockin, Kim Bartsch, Mahammad Valibeknejad, Sona Aseyednezad, Hannah Gebhardt, and Martijn van Leer. Her research is supported by funding from the Ministry of Infrastructure and Water Management, NWO, and EU Horizon programs.

Amber DumfordView profile

Professor

• Student Engagement
• Gender Issues in Higher Education
• Arts Education
• +6 more

Dr. Amber Dumford is a Professor at the University of South Florida in the College of Education , specializing in Higher Education and College Student Affairs . She holds a Ph.D. in Higher Education (with a cognate in Sociology) from Pennsylvania State University , a M.P.A. from Indiana University Bloomington , and a B.S. in Mathematics from the same institution. Teaches courses in Student Affairs Assessment, College Teaching, and Globalization in Higher Education Currently serves on doctoral dissertation committees Active in research on student engagement, gender issues, and data quality in higher education Reviews for 20+ peer-reviewed journals and serves on editorial boards of top journals Consultant for National Center for Educational Statistics and institutions in US/Canada Research Interests include: Factors influencing student engagement and learning Gender disparities in higher education Arts and engineering education outcomes Creativity in academic settings Quantitative reasoning and assessment Data quality in educational research Food insecurity among diverse college students Publications reflect trends in student engagement , career readiness , data-driven educational practices , and equity in higher education . Her recent works focus on socioecological factors affecting food pantry usage and validity of survey instruments in measuring student behaviors. Service Contributions : Active member of university committees and councils Board member of Research in Higher Education and Journal of College Student Development Statistical modeling consultant for National Center for Educational Statistics Teaching Experience spans traditional mathematics instruction (2002-2014) to higher education seminars and globalization studies at USF. She plans to develop data analytics and institutional research courses.

Aaron SchatView profile

Associate Professor

• Workplace Aggression
• Work-Related Stress
• Industrial-Organizational Psychology
• +4 more

Aaron Schat serves as Associate Professor and Associate Dean of Undergraduate Studies at McMaster University's DeGroote School of Business within the Department of Human Resources and Management. His academic career centers on promoting workplace dignity through rigorous research and education in organizational behavior. Schat's research program investigates workplace aggression, work-related stress, and employee well-being with particular focus on customer service contexts. He examines how incivility affects workers' psychological health, explores covert revenge behaviors against abusive customers, and analyzes blameworthiness attribution in service interactions. His work bridges industrial-organizational psychology with practical business applications, emphasizing that "employees deserve to be treated with civility and dignity" regardless of customer demands. Analysis of his publication trends reveals consistent focus on aggression typology and its organizational consequences. Recent work employs person-oriented approaches to understand individual differences in aggression exposure, while earlier research established foundational knowledge about workplace aggression prevalence and intervention strategies. His scholarship consistently connects micro-level interactions to macro-level organizational health outcomes. As an educator, Schat trains future business leaders in human resources management, with students frequently reporting years later how his teachings helped navigate workplace conflicts. He currently collaborates with PhD candidates on peer support mechanisms for service workers handling difficult customer interactions, demonstrating his commitment to translating research into practical organizational solutions.

BAYRAM ÇETİNView profile

Professor

• Measurement and Evaluation in Education
• Educational Statistics
• Research Methods in Education
• +3 more

Professor BAYRAM ÇETİN is affiliated with Gaziantep University , where he serves in the Faculty of Education within the Department of Educational Sciences , specializing in Measurement and Evaluation in Education . His academic career spans multiple institutions, including Gazi University and Sakarya University. Doctorate in Measurement and Evaluation in Education (2005, Hacettepe University) Master’s in Measurement and Evaluation in Education (2002, Hacettepe University) Licence in Classroom Teaching (1993, Çukurova University) His research focuses on educational measurement , psychometric modeling , statistical analysis in education , and assessment equity . He has developed numerous scales and rubrics for educational evaluation, emphasizing SOLO taxonomy , CHAID analysis , and generalizability theory . Professor Çetin has authored 12 books/chapters, including Research Methods in Education and Measurement and Evaluation in Education , and published over 65 peer-reviewed articles. His recent work explores online formative assessment , ADHD diagnostics , and cross-cultural PISA data . He has supervised 25+ theses, including studies on cyberbullying , metacognition , and test development . He has held administrative roles such as Director of Research and Application Center (2022) and Dean (2020). His projects include international collaborations like Erasmus+ KA201 and national grants on virtual reality in medical education .

Andrew JirasekView profile

Professor

• Medical Physics
• Radiation Oncology Physics
• Raman Spectroscopy
• +3 more

Andrew Jirasek is a Professor at the Irving K. Barber Faculty of Science , University of British Columbia Okanagan , and serves as the Associate Dean for Graduate and Postdoctoral Training . He leads the Analytics in Medical Sciences (AiMS) Institute with a focus on Medical Physics and Radiation Oncology Physics , particularly utilizing Raman spectroscopy and 3D radiation dosimetry for cancer treatment verification. PhD from University of British Columbia His research involves developing polymer gel dosimeters for 3D radiation dose verification in complex therapies like volumetric modulated arc therapy (VMAT) , collaborating across physics, oncology, and engineering . He also investigates optical technologies to monitor biological responses during radiotherapy using Raman spectroscopy with machine learning for data analysis. Recent publications highlight advancements in 3D gel dosimetry , Raman spectroscopy for metabolic profiling , and iterative image reconstruction algorithms . His work spans dosimeter technology development , radiation therapy quality assurance , and clinical applicability studies for novel treatment verification methods.

Yan XiaView profile

Associate Professor

• Statistical Methods for Structural Equation Modeling
• Item Response Theory
• Categorical Data Analysis
• +3 more

Dr. Yan Xia is an Associate Professor in the Department of Educational Psychology at the University of Illinois at Urbana-Champaign. He holds a Ph.D. in Educational Psychology and Learning Systems from Florida State University and completed a postdoctoral fellowship at Arizona State University's T. Denny Sanford School of Social and Family Dynamics. Key research areas: Statistical methods for structural equation modeling, item response theory, categorical/nonnormal/missing data analysis, and applications in special education, child development, organizational behavior, and sports psychology. Current appointments: Faculty, College of Education, University of Illinois (since 2025). Recent contributions: 2025 Monte Carlo simulation on developmental research generalizability, 2024 work on parallel analysis improvements, and meta-analysis of autism eye-tracking studies. His methodological work critically examines fit indices like RMSEA, CFI, and TLI in ordered categorical data contexts. Collaborations span autism research, educational interventions, and cross-cultural studies. Publications demonstrate expertise in DWLS/ULS estimation, factor retention, and missing data techniques. Scientific awards: Not explicitly mentioned in provided texts. Advising: Accepts new graduate students (2025). No student list provided.

Gianvito LaeraView profile

Research Fellow

• prospective memory
• time estimation
• aging
• +5 more

Gianvito Laera is a Postdoctoral Research Fellow at the University of Geneva's Department of Psychology within the Faculty of Psychology and Educational Sciences. He works in the Cognitive Aging Lab, focusing on prospective memory research with particular emphasis on time-based memory processes across the lifespan. His research integrates cognitive psychology, neuroscience, and gerontology to understand how people remember to perform future intentions. Dr. Laera received his PhD in Psychology from the University of Geneva (2018-2023), following a Master of Science in Neuroscience and Neuropsychological Rehabilitation from the University of Padua, Italy (2013-2016), and a Bachelor of Science in Psychological Sciences and Techniques from the University of Bari 'Aldo Moro', Italy (2010-2013). Prior to his doctoral studies, he worked as a Research Assistant at Keele University's Neuropsychology Lab (2016-2018) and completed a research internship at the University of Padua (2015-2016). His research primarily investigates prospective memory—particularly time-based prospective memory—which involves remembering to perform intended actions at specific future times. His work examines age-related differences in these processes, neural correlates using EEG methodology, strategic monitoring behaviors, and the impact of various contextual factors on memory performance. He employs both laboratory and web-based experimental approaches to study how people monitor time, check clocks, and manage cognitive resources when executing delayed intentions. His research has important implications for understanding cognitive aging and developing interventions to support memory in older adults. Analysis of his publication record reveals consistent focus on time-based prospective memory mechanisms across 15 recent publications. His work demonstrates sophisticated methodological approaches including meta-analyses, experimental manipulations of clock-speed, EEG measurements, and longitudinal assessments. Key trends include examining the cost of monitoring behavior, strategic clock-checking patterns, neural correlates of memory retrieval, and the relationship between personality factors and cognitive performance in aging populations. While no specific scientific awards are documented in the available information, his research has been published in high-impact journals across psychology, neuroscience, and gerontology, reflecting recognition within his field. As a postdoctoral researcher, Dr. Laera continues to develop his independent research program while collaborating with senior researchers in the Cognitive Aging Lab. His work bridges experimental cognitive psychology with real-world applications for understanding memory changes in aging populations.

• Microbial Biotechnology
• Oral Microbiome Engineering
• Biofilm Dynamics
• +3 more

Kristel Bernaerts is a Professor at KU Leuven's Faculty of Engineering Sciences within the Department of Chemical Engineering, leading research in Chemical and Biochemical Reactor Technology and Safety (CREaS). She serves as Program Director for POC Safety Engineering and holds multiple leadership roles including membership in the Faculty Council of Engineering Sciences and the Committee for Prevention and Protection at Work. Faculty of Engineering Sciences Chemical and Biochemical Reactor Technology and Safety (CREaS) iSi Health - KU Leuven Institute for Physics-based Modeling Her research focuses on microbial biotechnology with emphasis on oral microbiome engineering, biofilm dynamics, and chemical process safety. Key areas include probiotic delivery systems for periodontal treatment, microbial reactor optimization, and safety engineering for biological products. She develops innovative technologies like slow-release devices for oral probiotics and electrospinning-based encapsulation methods. Recent publications reveal strong trends in oral biofilm modulation (65% of 2023-2025 works), microbial community engineering (25%), and safety/risk analysis (10%). Her work bridges fundamental microbial ecology with clinical applications, particularly in periodontitis treatment and probiotic delivery. As an active supervisor, she mentors PhD candidates including Loverdou, N. and Bäcker, L.E. across interdisciplinary projects spanning chemical engineering, dentistry, and synthetic biology. Her current €15M+ research portfolio includes: EU-funded MICROTUNe platform for bioprocess optimization (2024-2030) Probiotic dry toothpaste development (2024-2027) Wood-eating beetle microbiome valorization (2023-2027) AI-driven antivirulent protein design (2024-2028) She leads the POC Safety Engineering program and contributes to chemical engineering education through courses on process safety, reactor engineering, and analytical chemistry.

Blaž ZupanView profile

Professor

• Artificial Intelligence
• Machine Learning
• Explainable AI
• +4 more

Blaž Zupan is a Full Professor at the University of Ljubljana, also affiliated with Baylor College of Medicine in Houston, teaching artificial intelligence and machine learning. He leads a fifteen-member bioinformatics laboratory and has authored over one hundred publications with more than ten thousand citations, reflecting significant impact in computational sciences. His research centers on explainable AI, machine learning, and data visualization, with deep applications in bioinformatics. He pioneered the Orange data mining suite—a visual programming tool for accessible analytics—and bioinformatics platforms like dictyExpress for gene expression analysis and GenePath for genetic network discovery, emphasizing user-friendly interfaces and real-world usability. Analysis of his recent publications reveals a trajectory from foundational AI (e.g., concept hierarchies in 1999) to contemporary bioinformatics, with current work focusing on single-cell genomics, batch-effect correction, and democratizing AI through visual programming. His tools bridge computational methods and biological discovery, particularly in systems biology and genomics. Zupan’s accolades include the Zois Award (2010), two University of Ljubljana Golden Plaques (2011, 2019), a Fulbright Scholarship (2013), and six student-voted Best Teacher Awards (2008–2017). He was named among the Top 100 Most Influential Innovators of Central and Eastern Europe (2016) by Res Publica, Financial Times, and Google. He secures substantial research funding, currently leading projects like KATARINA (computer science education for all), DALI4US (data literacy for primary schools), DANIO-ReCODE (genomics of regeneration), and L2-60154 (explainable AI for gene expression). Past projects span AI systems (2009–2020), drug discovery, and systems biology, demonstrating sustained interdisciplinary impact. As head of the Bioinformatics Laboratory, he fosters collaboration between computer science and biology, developing open-source tools that empower researchers globally. His consulting for industry and public organizations extends his influence into data-driven decision support and AI training.

Holger SchwarzView profile

Associate Professor

• Data Management
• Database Systems
• Data Lakes and Lakehouses
• +6 more

Holger Schwarz is an Associate Professor (Apl. Professor) at the Institute for Parallel and Distributed Systems (IPVS) within the Faculty of Computer Science, Electrical Engineering and Information Technology at the University of Stuttgart. He serves as Head of the Infrastructure Department and is actively involved in research and teaching in the areas of data management, database systems, and data analytics. Professor Schwarz earned his doctorate (Dr. rer. nat.) from the University of Stuttgart in 2003 with a dissertation on "Integration of Data Mining and Online Analytical Processing." He later completed his habilitation (Dr. rer. nat. habil.), qualifying him as a university professor in Germany. His primary research interests focus on data management systems , particularly in the domains of data lakes, lakehouses, enterprise data platforms, and metadata management. Professor Schwarz investigates how to design efficient and scalable data architectures that support modern analytical workloads while addressing challenges in data integration, governance, and democratization. His work bridges theoretical database concepts with practical industrial applications, as evidenced by numerous collaborations with industry partners. Professor Schwarz's recent publications demonstrate a clear trend toward enterprise data management solutions, particularly focusing on data lakehouse architectures, enterprise data marketplaces, and advanced clustering techniques. His research shows a consistent pattern of addressing real-world data management challenges through innovative architectural patterns and algorithmic improvements, with strong emphasis on practical industrial implementation. Professor Schwarz supervises numerous research projects including MetaMan (metadata management in complex data landscapes), DLArchitecture (design of comprehensive data lake architecture), INTERACT (interactive rapid analytic concepts), and VALID-Partition (improving prediction quality using domain knowledge). He also coordinates the University of Stuttgart's projects within the Software Campus initiative and serves as Managing Director of the Technology Partnership Lab and as a Member of the Board of Directors of the Industrial Data Lab. His teaching portfolio includes courses on Advanced Information Management, Database Systems, and Data Science projects across multiple semesters, demonstrating his commitment to educating the next generation of data management professionals.

Henrik SattlerView profile

Professor

• Brand Management
• Social Media Marketing
• Marketing of Hedonic Media Products
• +4 more

Henrik Sattler is a Professor of Marketing & Branding at the University of Hamburg Business School, where he leads the Institute of Marketing. He has held visiting positions at MIT, Cornell University, Australian Graduate School of Management Sydney (UNSW), and the University of Technology Sydney. Spokesperson for DFG-funded research unit FOR 1452 (2015-2023) Founder of the Center for Brand Management and Marketing (ZMM) in 2003 His research focuses on brand management, social media marketing, and marketing of hedonic media products. Publications span top-tier journals including Journal of Marketing, Marketing Science, and PNAS. His work has received over 7,898 citations (h-index: 43). Recent publications analyze: Brand preference measurement techniques Social media's paradoxical effects on loneliness Word-of-mouth dynamics in digital environments Brand positioning through country-image fit Scientific honors include: Best Paper Award (German Academic Association for Business Research - VHB, 2010) Shortlisted for Robert D. Buzzell MSI Best Paper Award (2011) Ranked among top 1% business administration researchers in Germany He serves on the Scientific Advisory Boards of Brand University of Applied Sciences (Hamburg) and DVJ Insights (Utrecht), and has consulted for major companies like Beiersdorf, Henkel, and Unilever.

• Soil Microbiology
• Antibiotic Resistance
• Environmental Contaminants
• +5 more

Kristian Koefoed Brandt serves as Associate Professor in the Department of Plant and Environmental Sciences at the University of Copenhagen's Faculty of Science, specializing in Microbial Ecology and Biotechnology. His research focuses on environmental microbiology, antibiotic resistance dynamics, and contaminant fate in agricultural systems. His primary research interests span Soil Microbiology, Antibiotic Resistance, Environmental Contaminants, and Wastewater Treatment, with significant contributions to understanding microbial processes in organic agriculture and wastewater systems. Key themes include bioremediation strategies, pesticide risk assessment, and the One Health implications of emerging contaminants. Analysis of his recent publications reveals a strong emphasis on antimicrobial resistance surveillance across environmental interfaces, particularly in wastewater-river systems and agricultural settings. His work integrates molecular techniques with large-scale environmental monitoring, often through European collaborative projects examining climate gradients and farming practices. 295 citations for 'Emerging contaminants: A One Health perspective' (2024) Featured in 13 news outlets and referenced in Wikipedia High-impact research on wastewater-based disease surveillance Extensive collaboration across European research networks Professor Brandt actively contributes to environmental risk assessment frameworks, particularly regarding recycled nutrients in organic agriculture. His research group employs advanced molecular markers and isotope techniques to study microbial interactions, with significant implications for sustainable agricultural practices and public health monitoring systems.