جست‌وجوی استاد و پژوهشگر

Eike Schneidersمشاهده پروفایل

مدرس

• Human-Computer and Robot Interaction
• Human-AI Interaction focusing on generative AI and its impact on society
• Multidisciplinary research in collaboration with artists, medical professionals, and lawyers

Dr. Eike Schneiders is a Lecturer at the School of Electronics and Computer Science, University of Southampton. He holds a PhD in Computer Science from Aalborg University and is a recipient of the UKRI Trustworthy Autonomous Systems Hub Early Career Researcher Award. His research focuses on autonomous and AI-infused systems, investigating how to ensure their trustworthiness and responsible interaction with humans and other agents through interdisciplinary collaborations across art, law, and medicine. His recent work explores the societal impact of Generative AI, particularly examining its influence on legal services accessibility for non-experts through the REGALS project (Principal Investigator) and its effects on creative communities via the ART-I project (Co-Investigator). Dr. Schneiders emphasizes public engagement to enhance AI literacy and employs both qualitative and quantitative methods to study human-computer interaction and ethical implications. Dr. Schneiders teaches courses including COMP6251 (Web and Cloud Application Development), ELEC6259 (Research Methods and Project Preparation), and ELEC6200 (Group Design Project). His pedagogical approach integrates foundational technical skills with critical research methodologies. He has led several interdisciplinary projects including ARTificial Intelligence: Show Me a Story about AI (ART-I) and Responsible Employment of Generative AI for Legal Services (REGALS), and contributes to the Agents, Interaction and Complexity research group. His Cat Royale project received the 2024 Webby Award for Best Integrated Experience. Honors include the Best Paper Award at ACM CHI 2024, multiple Honourable Mentions at CHI and TAS Symposiums, and membership in the Foundation for Science and Technology's Future Leaders Programme.

Bhoomija Ranjanمشاهده پروفایل

مدرس ارشد

• Quantitative Marketing
• Retail Marketing
• Structural Modelling
• +۳ مورد دیگر

Bhoomija Ranjan is a Senior Lecturer in the Department of Marketing at Monash University, affiliated with Impact Labs. She holds a PhD and MS in Business Administration from the University of Rochester (2017), an MA in Economics from the same institution, and a B.Sc-M.Sc in Mathematics and Scientific Computing from IIT Kanpur. Previously, she served as Assistant Professor at Brandeis University (2017-2018). Her research focuses on quantitative modeling of firm and consumer decision-making, including retail layout optimization, consumer attention patterns, pricing strategies, and new product launches. She employs structural modeling, Bayesian methods, and applied data science techniques. Notable contributions include studies on retail advertising effectiveness and emoji usage in digital marketing. Recipient of prestigious awards including the Center of Excellence in Data Science Fellowship and Monash's Outstanding Teaching Performance accolade Peer-reviewed for journals like Journal of the Academy of Marketing Science and Journal of Marketing Management Active in academic service roles such as program committee member for the Consortium on Digital Economy

Mikko Nissiمشاهده پروفایل

استاد

• Medical Physics
• Medical Imaging
• Magnetic Resonance Imaging (MRI)
• +۵ مورد دیگر

Professor Mikko Nissi holds the Chair of Medical Physics and Engineering at the University of Eastern Finland’s Department of Technical Physics, Faculty of Science, Forestry and Technology. He leads research on quantitative magnetic resonance imaging (qMRI), focusing on musculoskeletal diseases and methodological advancements in ultra-short echo time techniques. His work integrates inverse problems research and machine learning to predict tissue properties unobservable via conventional MRI. Education: PhD in Physics (University of Kuopio, 2008), Adjunct Professor since 2015. Key roles include Associate Professor (2020–2024) and Academy Research Fellow (2015–2020). Active in research groups like the Academy of Finland Flagship (FAiME) and UEF’s Musculoskeletal Diseases (MSKD) community. Research interests span qMRI relaxometry, T1ρ/T2 anisotropy, and AI-driven virtual histology. Notable projects include EU-funded microMRI infrastructure for industrial applications and grants from the Research Council of Finland for AI-assisted MRI methods. Teaching: Course on MRI principles and applications. Advises on musculoskeletal biomechanics and finite element modeling. Recognized for contributions to medical physics, including societal roles in the Finnish Society for Medical Physics and International Society for Magnetic Resonance in Medicine. Hobbies: 3D printing for research tooling and handicrafts. Publications (>100 articles) address cartilage degeneration, myocardial perfusion, and MRI applications in agriculture/forestry.

Lasse Heikkinenمشاهده پروفایل

مدرس ارشد

• Physics
• Applied Physics
• Process Tomography
• +۵ مورد دیگر

Lasse Heikkinen is a Senior Lecturer at the Department of Technical Physics, Faculty of Science, Forestry and Technology, University of Eastern Finland. His work spans applied physics, process tomography, and educational technology, with a focus on innovative teaching methods like flipped classrooms during the pandemic. Current Role: Deputy Head of Department, Senior University Lecturer Research Themes: Electrical impedance tomography for industrial processes, flipped teaching frameworks, and physics education adaptation to remote learning. Recent publications highlight his dual expertise in process tomography (gas-solid flows, pharmaceutical monitoring) and pedagogical innovation (learning analytics, flipped classrooms). He has contributed to educational manuals and toolkits for teacher training. Key Projects: Technology education infrastructure development (2015–2024), pandemic-era teaching adjustments (2022). Collaborations: Active in international process tomography conferences and multidisciplinary teams like the Ameba project.

Masahiro Ryoمشاهده پروفایل

استاد

• Environmental Data Science
• Artificial Intelligence
• Biodiversity Science
• +۵ مورد دیگر

Masahiro Ryo is a Professor of Environmental Data Science at Brandenburg University of Technology (BTU) and leads the working group "Artificial Intelligence for Smart Agriculture" at the Leibniz Centre for Agricultural Landscape Research (ZALF). His research integrates machine learning with ecological systems to address global sustainability challenges, focusing on biodiversity, soil health, and AI-driven agricultural solutions. His work spans environmental data science, ecosystem services, and smart agriculture. Key themes include explainable AI for biodiversity monitoring, soil organic carbon prediction, and machine learning applications in ecological modeling. Recent publications highlight trends in environmental AI, with applications in yield mapping, fungal taxonomy, and global change ecology. He emphasizes the integration of ecological theory with deep learning to tackle small-data problems and improve model transferability. Contact: masahiroryo@gmail.com | Personal Website

• Environmental Toxicology
• Ecotoxicology
• Metabolomics
• +۳ مورد دیگر

Sean M. Richards is a Professor at the University of Tennessee at Chattanooga (UTC) specializing in environmental toxicology, ecotoxicology, and metabolomics. His research focuses on the effects of toxicants such as polycyclic aromatic hydrocarbons (PAHs), metals, and pharmaceuticals on human and ecological health, including studies on low birth weight in Hamilton County infants and the ecological impacts of pharmaceuticals in surface waters. Current Projects: Investigating placental exposure to pollutants, metabolomic profiling for cancer and fetal anomaly detection, and pharmaceutical ecotoxicology. Collaborations: Partnerships with institutions like Columbia University, University of Salerno, and Erlanger Hospital. His work includes probabilistic risk assessments, biomarker quantitation (e.g., HPLC, atomic absorption spectroscopy), and interdisciplinary applications of metabolomics in toxicology and environmental health. Recent publications highlight metabolomic trends in endometrial cancer screening, pharmaceutical environmental persistence, and fetal growth restriction linked to placental toxicants. Dr. Richards teaches courses such as Environmental Toxicology (BIOL 5320), Risk Assessment (ESC 5650), and Hazardous Waste Management (CHEM 5160). He serves on the US EPA FQPA Science Review Board and as Associate Editor for Ecotoxicology.

Urszula Ala-Karviaمشاهده پروفایل

پژوهشگر

• Social Sciences
• Statistics and Probability
• Food Science
• +۳ مورد دیگر

Urszula Ala-Karvia is a Doctoral Researcher at the Ruralia Institute Seinäjoki , part of the Faculty of Agriculture and Forestry at the University of Helsinki . She is affiliated with the Helsinki Institute of Sustainability Science (HELSUS) and actively contributes to research on sustainable food systems, demographic analysis, and statistical modeling. Her research interests include urban-rural migration patterns , household structure changes , sustainable public meal provision , energy policy analysis , and statistical demography . She employs both quantitative and qualitative methods to study socio-economic phenomena across Finland, Poland, and the Baltic Sea Region. Recent publications focus on suburbanization effects in Poland , electricity price structures in EU countries , and digital innovation hubs in Arctic regions . Her work addresses sustainability challenges in public catering , climate-smart dairy transitions , and gender equity in rural entrepreneurship . She participates in EU-funded projects such as GENGREEN (2024-2026) and StratKIT+ (2022-2024), and contributes to interdisciplinary collaborations through conferences and workshops across Nordic-Baltic regions.

Laura K. Nelsonمشاهده پروفایل

دانشیار

• Computational Sociology
• Social Movements
• Gender Studies
• +۴ مورد دیگر

Laura K. Nelson is an Associate Professor of Sociology at the University of British Columbia (UBC) and Director of the Centre for Computational Social Science. Her research focuses on computational methods applied to social movements, gender studies, and text analysis. She holds a PhD and MA from the University of California, Berkeley, and a BA from the University of Wisconsin, Madison. **Education**: PhD in Sociology, University of California, Berkeley MA in Sociology, University of California, Berkeley BA in Sociology (Analysis and Research), University of Wisconsin, Madison Her work bridges sociology and computational methods, examining topics like institutional equity (e.g., NSF ADVANCE), gender disparities in academia, and the use of AI in qualitative research. She has published extensively in journals like *American Journal of Sociology* and serves on editorial boards of *Poetics* and *Acta Sociologica*. Her recent projects include analyzing gender bias in evaluations and leveraging machine learning for feminist social science. **Grants & Advising**: Her postdoctoral work at UC Berkeley and Northwestern University focused on data science and interdisciplinary collaboration. She advises on AI ethics and computational grounded theory, and her teaching includes courses on computational methods in the social sciences. **Affiliations**: She is elected council member for the American Sociological Association’s sections on Sociology of Culture and Mathematical Sociology. She also contributes to initiatives like the *Society-Centered AI* program at Duke University.

Bronson Huiمشاهده پروفایل

استادیار

• Second Language Acquisition
• Applied Psycholinguistics
• Vocabulary Learning and Teaching
• +۴ مورد دیگر

Bronson Hui is an Assistant Professor of Second Language Acquisition at the University of Maryland, College Park, within the School of Languages, Literatures, and Cultures (SLLC). He is also a member of the Maryland Language Science Center. His research focuses on applied psycholinguistics, particularly second language acquisition in instructed contexts, multi-modal input, vocabulary learning, and open science practices. Hui holds a Ph.D. in Second Language Studies from Michigan State University, an M.S. in Applied Linguistics from the University of Oxford, and dual B.A./B.Ed. degrees in English Language and Education from the University of Hong Kong. Education: Ph.D., Second Language Studies, Michigan State University M.S., Applied Linguistics and Second Language Acquisition, University of Oxford B.A. & B.Ed., English Language and Linguistics / Language Education, University of Hong Kong His research interests include experimental methods in SLA, quantitative analysis, and the use of AI tools in meta-research. He has published in journals like Studies in Second Language Acquisition , Language Learning , and Applied Psycholinguistics . Hui serves on the editorial boards of TESOL Quarterly and Studies in Second Language Acquisition . He teaches courses such as Second Language Research Methodologies , Psycholinguistics , and Vocabulary Acquisition in Instructional Contexts . Hui actively advises graduate students in empirical studies, dissertation research, and grant proposals. His work emphasizes open science practices, including pre-registration, data sharing, and reproducible analyses. Hui has developed workshops on R programming for applied linguists, emphasizing ethical data practices and open-source tools. He collaborates internationally on projects like the ASReview tutorial for meta-research and has contributed to book projects on quantitative methods in applied linguistics.

Ala Alrababahمشاهده پروفایل

استادیار

• Immigration Studies
• Political Violence
• Refugee Politics
• +۳ مورد دیگر

Dr. Ala Alrababah is an Assistant Professor in the Department of Social and Political Sciences at Bocconi University, with affiliations including the Evidence in Governance and Politics (EGAP) network, Immigration Policy Lab (IPL) at ETH Zurich and Stanford, BAFFI Center on Economics, Finance and Regulation at Bocconi, and the Abdul Latif Jameel Poverty Action Lab (J-PAL). She holds a Ph.D. in Political Science from Stanford University (2021). Her research examines immigration, refugees, and political violence using innovative mixed-methods approaches combining fieldwork with experimental and computational techniques. Primary domains include comparative analysis of migration policies, conflict dynamics in the Middle East, prejudice reduction strategies, and quantitative analysis of political discourse. She maintains active field research programs focused on Syrian refugee communities. Publications demonstrate consistent focus on migration policy impacts, refugee decision-making, and political violence analysis across multiple contexts. Computational methods feature prominently alongside field experiments, with strong methodological contributions to survey research and text analysis. As an active member of international research networks, Dr. Alrababah collaborates on large-scale projects examining refugee integration policies, transitional justice mechanisms, and political behavior in conflict regions. Her work has received international media coverage in outlets including The Economist, Foreign Policy, and BBC Arabic.

• Digital Humanities
• Early Modern Literature
• Corpus Linguistics
• +۴ مورد دیگر

Heather Froehlich is an Assistant Specialist in Research Engagement at the University of Arizona Libraries, specializing in digital humanities and corpus linguistics. She holds affiliations with Literature Faculty, English Applied Linguistics, and RCTE (Research, Creation, and Teaching Excellence). Her work bridges traditional literary studies with modern computational methods, focusing on early modern texts, Shakespearean drama, and gender representation. Her research interests include quantitative literary analysis, corpus-based studies using tools like AntConc, and the integration of digital methods into pedagogy. Notable projects involve analyzing Aphra Behn’s works, transcribing recipe manuscripts, and exploring nuclear physics discourse through text corpora. Publications span topics from early modern drama’s social structures to postdoctoral labor advocacy. She actively promotes research data management and collaborates on interdisciplinary projects such as the Early English Books Online review and the Philosophical Magazine Nuclear Physics Corpus . Her contributions include advancing digital humanities pedagogy through EEBO-TCP integration in teaching and advocating for equitable academic labor practices via the Postdoctoral Laborers Bill of Rights .

Dave Clarkeمشاهده پروفایل

استاد مدعو

• Quantitative Exercise Biology
• Exercise Physiology
• Sports Analytics
• +۳ مورد دیگر

Dr. Dave Clarke is an Adjunct Professor in the Department of Biomedical Physiology and Kinesiology at Simon Fraser University, leading the Clarke Laboratory for Quantitative Exercise Biology . His research focuses on Exercise-responsive cell signaling , Sports analytics using wearable sensors , Evidence-based exercise programming , and Clinical exercise physiology . The lab integrates mathematical modeling, clinical insights, and biomechanical approaches to address questions in athletic performance, metabolic disorders, and wearable technology applications. Dr. Clarke collaborates with institutions such as TRIUMF and the BC Cancer Research Centre. Publications highlight his work in critical power modeling , AMP-activated protein kinase dynamics , and mitochondrial disease treatments . His lab emphasizes interdisciplinary training, offering mentorship in experimental design, data analysis, and translational research. The Clarke Lab is affiliated with SFU’s Faculty of Health Sciences and maintains active outreach programs for public health education. Notable projects include developing hydraulic models for recovery kinetics prediction and validating chloride test strips for sodium excretion analysis. The lab’s work has been featured in journals like Frontiers in Sports and Active Living and Orphanet Journal of Rare Diseases . For real-time updates, follow the lab on Facebook .

Fulai Jinمشاهده پروفایل

دانشیار

• 3D Genome Architecture
• Computational Biology
• Genomics
• +۳ مورد دیگر

Fulai Jin, PhD, is an Associate Professor in the Department of Genetics and Genome Sciences at Case Western Reserve University School of Medicine, with joint appointments in the Department of Population and Quantitative Health Sciences and the Department of Computer and Data Sciences. He is also Co-Leader of the Cancer Genomics and Epigenomics Program at the Case Comprehensive Cancer Center. Dr. Jin holds a PhD in Molecular and Medical Pharmacology from UCLA and bachelor’s degrees in Biology and Computer Science from USTC. His postdoctoral training at the Ludwig Institute for Cancer Research focused on genomics and epigenetics. His research focuses on 3D genome architecture, computational tools for genomic data integration, and single-cell technologies applied to health and disease. Key areas include cancer, diabetes, and neurological disorders, with a focus on chromatin structure, enhancer function, and ancestry-related disease mechanisms. His lab develops low-input 3D genome mapping methods and employs CRISPR tools, scRNA-seq, and multi-omic integration. Research is funded by NIH grants. Dr. Jin seeks motivated students/postdocs with experimental or computational expertise. The lab’s work is detailed on their website, and publications are listed on PubMed.

Scott Morrisمشاهده پروفایل

استاد

• Industrial-Organizational Psychology
• Personnel Selection
• Bias and Discrimination in Employment
• +۴ مورد دیگر

Scott Morris is a Professor and Nambury S. Raju Endowed Chair in Psychology at Illinois Institute of Technology (IIT), leading the Industrial/Organizational Psychology Program within the Lewis College of Science and Letters. He holds a Ph.D. from the University of Akron (1994) and a B.A. from the University of Northern Iowa (1987). A Fellow of the Society for Industrial and Organizational Psychology and the American Psychological Association, Morris is also an associate editor for the Journal of Applied Psychology . His research focuses on advanced statistical methods in personnel selection systems, including meta-analysis, adverse impact analysis, and computer adaptive testing. He explores bias in subjective hiring practices and develops psychometric models to ensure fairness in employment decisions. Morris’s work bridges quantitative methodology with real-world applications, emphasizing ethical and equitable employment practices. Key research areas include adverse impact measurement, meta-analytic techniques, differential item functioning, and the design of efficient testing systems. He co-authored Adverse Impact Analysis: Understanding Data, Statistics and Risk (2017), a foundational text in the field. Morris’s lab, the Personnel Selection & Analytics Lab , investigates topics like multidimensional adaptive testing and statistical methodologies for EEO compliance. Awards: Fellowships from SIOP and APA, recognition for contributions to organizational psychology and statistical rigor. Media Expertise: Regularly consulted on psychology, data science, and ethics in employment. Labs/Teams: Leads the IIT Personnel Selection & Analytics Lab, focusing on quantitative methods in HR and equity analysis.

Giovanni Forchiniمشاهده پروفایل

استاد

• Econometrics
• Panel Data Analysis
• Health Economics
• +۳ مورد دیگر

Giovanni Forchini is a Professor at the Umeå School of Business, Economics and Statistics (USBE), Umeå University, Sweden. His research focuses on econometrics, panel data analysis, and their applications in health economics and epidemiological modeling. He holds the title of Docent, a Swedish academic qualification reflecting advanced expertise. His work bridges theoretical econometrics with practical policy analysis, particularly in pandemic preparedness and healthcare optimization. Research Themes: Econometric methodologies for panel data and structural equation models Quantifying pandemic impacts on healthcare systems and economies Optimization of resource allocation during public health crises Key Contributions: Developed the DAEDALUS model for integrated economic-epidemiological policy simulations Analyzed SARS-CoV-2 transmission dynamics and vaccine impact in multiple countries Pioneered statistical methods for handling multifactor structures in panel data Awards & Grants: USBSE Pedagogical Prize 2020 Funding from Forte (Swedish Research Council for Health, Working Life and Welfare) and Handelsbanken Teaching & Mentorship: Coordinates Master’s theses in Economics at USBSE Teaches advanced courses like Econometrics 1 & 2 and Analysis of Financial Data