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Subodha KumarView profile

Professor

• Artificial Intelligence
• Machine Learning
• Blockchain
• +7 more

Subodha Kumar is the Paul R. Anderson Distinguished Chair Professor of Statistics, Operations, and Data Science at Temple University’s Fox School of Business. He serves as the Founding Director of the Center for Business Analytics and Disruptive Technologies and has a secondary appointment in Information Systems. His roles include Ph.D. Program Concentration Director for Operations and Supply Chain Management. With over 240 publications, he ranks #1 globally in Information Systems Research publishing and holds a robotics patent. His research focuses on AI, blockchain, healthcare analytics, and cybersecurity, with notable contributions to digital transformation and operations management. Awards include the INFORMS ISS Distinguished Fellow and POMS Fellow. He advises major journals like Production and Operations Management and organizes conferences like POMS 2018. Media mentions span NYT, WSJ, and CBS. Education: University of Washington faculty Texas A&M University faculty Research Interests: Dr. Kumar explores AI applications, blockchain in fintech, healthcare system optimization, and supply chain analytics. He investigates cybersecurity’s operational impacts and data mining strategies. His work bridges theory and practice, addressing challenges in digital transformation and platform economies. Publications Trends: Recent work emphasizes digital platforms (e.g., blockchain adoption, telemedicine impact), organizational behavior (real-time feedback systems), and healthcare operations (personalized treatment algorithms). He frequently collaborates internationally, with studies appearing in Management Science, Information Systems Research, and Decision Sciences. Awards & Recognition: Changjiang Scholars Chair (China) ISB Visiting Professorship POMS Executive Editor Grants & Labs: Secured NIH grants for health analytics projects. Leads Temple’s analytics center fostering industry partnerships. Active in editorial roles (e.g., Production and Operations Management Journal Deputy Editor). Teaching: Offers courses in data science, optimization methods, and innovation entrepreneurship at graduate/undergraduate levels.

Ron H.J. PeerlingsView profile

Associate Professor

• Micromechanics
• Micro-plasticity
• Multiscale modelling
• +7 more

Ron H.J. Peerlings is Associate Professor in the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e) , where he leads the Mechanics of Materials research group. Promoted to Associate Professor in 2007 after joining as Assistant Professor in 2000, he has built an extensive portfolio in theoretical and computational mechanics of materials. Education: PhD (1999) – Eindhoven University of Technology, thesis: Enhanced damage modelling for fracture and fatigue Post-doctoral research (1999–2000) – University of Cambridge, Engineering Department Research interests revolve around micromechanics , micro-plasticity , multiscale modelling , homogenisation , damage and fracture , and enriched continuum theories . His work spans advanced high-strength steels, composites, paper and fibrous networks, with strong emphasis on coupling rigorous theoretical developments to industrially motivated problems. His recent publications (2023-2025) demonstrate a clear trajectory towards integrating advanced experimental techniques (e.g., digital image correlation, micro-mechanical testing) with high-fidelity computational frameworks such as crystal-plasticity finite-element modelling, FFT-based solvers and micromorphic homogenisation. Dominant themes include: Deformation and fracture in lath martensite and dual-phase steels Hygro-mechanics of paper and fibrous networks Pattern-transforming mechanical metamaterials Discrete-to-continuum scale bridging methods Scientific awards are not explicitly listed in the provided material; however, his prolific output (294 research items, >6500 citations) attests to significant peer recognition. Teaching & supervision: He delivers courses on Computational Mechanics – Numerical Methods for Fluids and Solids and Fracture Mechanics – Theory and Application , and has supervised >80 student works and numerous PhD candidates whose names appear on joint publications. Laboratory & teams: He heads the Group Peerlings within the Mechanics of Materials cluster, maintaining close collaboration with the Mechanics of Materials Group Geers and extensive national/international experimental and computational networks.

Genesea M. CarterView profile

Associate Professor

• Rhetoric and Composition
• Academic Administration
• Curriculum Development
• +3 more

Genesea M. Carter serves as the Associate Director of Composition and Associate Professor in the English and University Composition Program at Colorado State University. She holds a PhD from the University of New Mexico. Her research focuses on administrative systems in higher education, including curriculum design, teacher training, and workload equity, and their impact on instructors’ well-being. She also investigates how students from diverse backgrounds navigate academia, with a focus on working-class pedagogy and identity development. Her recent co-edited collection Systems Shift: Creating and Navigating Change in Rhetoric and Composition Administration (2023) addresses institutional transformation. Earlier work includes Class in the Composition Classroom: Pedagogy and the Working Class (2017), exploring socioeconomic diversity in education. Her articles span topics like digital literacy, interdisciplinary pedagogy, and critical theory in composition studies. Dr. Carter’s scholarship emphasizes equity, intersectionality, and dismantling neoliberal structures in academia. She has contributed to journals such as Composition Studies , Journal of Teaching Writing , and Open Words , and her work bridges practical administration with theoretical frameworks in rhetoric and composition.

Aya AboelenienView profile

Associate Professor

• Morality and Ethics in Consumption
• Consumer Culture Theory
• Qualitative Research Methods
• +3 more

Aya Aboelenien is an Associate Professor in the Department of Marketing at HEC Montréal, a leading business school in Montréal, Canada. Her research focuses on morality and ethics in consumption, consumer culture theory, qualitative methods, aesthetics, and social media. She holds a Ph.D. (Marketing) from Concordia University, an M.B.A. and BBA from the American University in Cairo. Research Interests Aya’s work examines ethical consumption trends, influencer dynamics, and marketplace morality. She explores how brands navigate ethical dilemmas and how social media influencers shape consumer behavior. Her recent studies include analyses of cancel culture’s impact on brands, the ethical dimensions of influencer marketing, and meat consumption’s cultural symbolism. Recent Contributions Her 2024 papers in Journal of Brand Management and Journal of Business Research address brand response strategies to changing market logics and the formation of marketplace moral sentiments. Earlier work in Journal of Marketing Management (2023) and Consumption Markets & Culture (2022) further highlight her focus on ethical influencers and contested consumption practices. Awards & Supervision She received the Best Competitive Paper Award at the 2025 Consumer Culture Theory Conference. Since 2021, she has supervised five MSc projects on topics like green marketing, influencer strategies, and brand repositioning. She teaches courses in consultancy-based marketing research and strategic marketing. Affiliations Aya is affiliated with HEC Montréal’s marketing department and collaborates with global scholars on projects involving consumer ethics and digital marketing innovations.

• Digital Archaeology
• Computational Archaeology
• Machine Learning in Archaeology
• +13 more

Karsten Lambers is Professor of Digital and Computational Archaeology at the Faculty of Archaeology, Leiden University, where he leads research and teaching in the application of computational methods to archaeological data. His work integrates machine learning, remote sensing, text mining, and citizen science to advance archaeological prospection and heritage management. He is affiliated with the Department of Archaeological Sciences and plays key roles in research groups and university-wide initiatives such as SAILS and ARCHON. His research interests span Digital Archaeology , Machine Learning in Archaeology , Remote Sensing , Geoarchaeology , and Human-Environment Interaction . He investigates how computational tools can extract meaningful archaeological information from large datasets, including LiDAR imagery and excavation reports. His fieldwork spans Central Europe and Latin America, with a focus on prehistoric landscapes and cultural heritage. The analysis of his recent publications reveals a strong trend toward automated detection using deep learning (e.g., R-CNN, WODAN), named entity recognition in archaeological texts (e.g., ArcheoBERTje), and citizen science integration for data validation. His work bridges archaeology with computer science, geomatics, and environmental science, emphasizing interdisciplinary collaboration and methodological rigor. His scientific awards include: Best Thesis Award (University of Zurich, 2005) EUROPA NOSTRA Award (2020, 2022) Membership in the German Archaeological Institute (since 2022) Lambers actively supervises students and leads major research projects such as ABMA, EXALT, and Heritage Quest. He has secured substantial research funding and collaborates widely with computer scientists, geophysicists, and palaeoecologists. His teaching includes digital methods, modeling, and simulation, often linked to ongoing research. He has also contributed to open educational resources and digital textbooks in archaeology. He leads or participates in several research labs and teams, including the Digital Archaeology Research Group (which he chairs), the Heritage Quest citizen science project, and interdisciplinary teams focusing on alpine terraces and Iraqi prospection. His work emphasizes the integration of digital tools into practical archaeological workflows, advocating for complementary human-computer strategies.

Arvind KarunakaranView profile

Assistant Professor

• Sociology of Work and Occupations/Professions
• Organization Theory
• Technological/Organizational Change
• +4 more

Arvind Karunakaran is an Assistant Professor at Stanford University in the Department of Management Science and Engineering. He holds affiliations with the Center for Work, Technology, and Organization (WTO) , Stanford Technology Ventures Program (STVP) , Stanford Institute for Human-centered Artificial Intelligence (HAI) , and the Digital Economy Lab (DEL) . His research focuses on authority and accountability in the workplace , particularly under technological change and human-AI augmentation. Education: Ph.D. from MIT Sloan School of Management (2018) His work employs ethnographic and field-based methods to study empirical puzzles in workplace dynamics, complemented by comparative-historical analysis and quantitative/textual data analysis . Key research areas include social/algorithmic evaluation of workers , human-AI reskilling , and conflicts in symmetrical relations . Recent publications analyze AI's impact on workplace inequality , platform governance , and crowd-based accountability . His findings are published in top journals like Administrative Science Quarterly and Organization Science . Scientific Awards & Recognitions: Best Published Paper Award (ASA, 2025) Gerard J. Tellis Best Junior Faculty Paper Award (AIM Conference, 2025) W. Richard Scott Article Award (ASA, 2024) Responsible Research in Management Award (RRBM, 2024) Future of Organizations Fellowship (2024) Professor Karunakaran advises doctoral and master's students in areas related to technology and organizations , and teaches courses on organizational behavior , organizational theory , and innovation management .

• 19th-century Visual Culture
• Material Culture Studies
• Art History
• +5 more

Andrea Korda, PhD (University of California, Santa Barbara), is an Associate Professor of Fine Arts & Humanities and Associate Dean (Research) at the Augustana Campus of the University of Alberta. Her academic career bridges art history, material culture studies, and pedagogical innovation. Educations: BA in Fine Arts, Queen's University MA in Art History, Concordia University PhD in Art History, University of California, Santa Barbara Research Focus: Dr. Korda specializes in 19th-century visual and material culture, with a focus on education's visual dimensions, children's literature, and community-engaged projects like the award-winning Crafting Communities initiative. She co-curated the virtual exhibition Photographies (Bruce Peel Special Collections) and explores hands-on learning through historical crafts. Teaching: Courses include modern art history (AUART 220), photography theory (AUART 225), and special topics in visual culture (AUART 382). She emphasizes experiential learning and digital humanities integration, as seen in her work with the Getty Museum Challenge and OER projects. Collaborations: Leads interdisciplinary teams on projects like Crafting Communities , blending scholarship with public engagement. Her research bridges historical methodologies with contemporary pedagogical practices, fostering connections between academia and communities.

Justin Russell GreeneView profile

Senior Lecturer

• Cinema Studies
• Media Studies
• Cultural Studies
• +4 more

Justin Russell Greene serves as an Advanced Instructor in the Department of English within Virginia Tech's College of Liberal Arts and Human Sciences. With over 15 years of teaching experience across multiple institutions, he currently teaches courses in film, literature, and writing at Virginia Tech, where he has been employed since 2019. His academic journey spans various teaching positions at Virginia Tech, Hampden-Sydney College, Virginia Commonwealth University, and several community colleges. Greene earned his BA, MA, and PhD in English and Media, Art, and Text from Virginia Commonwealth University. His educational background reflects his interdisciplinary approach that bridges traditional literary studies with contemporary media and cultural analysis. He has also completed professional development certifications in Anti-Racist Teaching and Foundations of Online Teaching at Virginia Tech. His research focuses on the intersections of cinema, media, and cultural studies, with particular attention to authorship, celebrity, and gender performance. Greene examines how authors and celebrities construct their identities across various media platforms, exploring topics ranging from Quentin Tarantino's cinematic masculinity to Roxane Gay's digital presence. His work often analyzes the performative aspects of identity in contemporary culture, particularly through fashion, social media, and visual storytelling. Greene's scholarly output demonstrates a consistent focus on authorial identity construction across media platforms. His publications reveal a trajectory from examining literary authors' fashion choices to analyzing digital performances of identity on social media, and more recently to cinematic studies of directors like Quentin Tarantino and Jordan Peele. The evolution of his work reflects broader cultural shifts toward digital and visual media while maintaining a consistent theoretical framework centered on performance and identity construction. Joyce Gentry Smoot Award (2025) for Excellence in Teaching by an Instructor As an educator, Greene has served as a reader on graduate student capstones and has been actively involved in curriculum development and pedagogical innovation. He has participated in numerous professional development activities focused on writing instruction, anti-racist pedagogy, and the integration of AI in teaching. His teaching philosophy emphasizes building student confidence in writing abilities, recognizing diverse student backgrounds, and providing individualized feedback to help students develop their unique voices. Greene is currently working on projects examining Jordan Peele's Nope (2022) regarding point-of-view and gore, as well as speculative adaptations in contemporary US media. His research interests continue to evolve with cultural trends while maintaining his core focus on performance, identity, and media representation.

Ruihong HuangView profile

Associate Professor

• Natural Language Processing (NLP)
• Information Extraction
• Machine Learning
• +6 more

Ruihong Huang is an Associate Professor in the Department of Computer Science and Engineering at Texas A&M University, part of the College of Engineering. She holds a Ph.D. from the University of Utah (2014) and completed a postdoctoral fellowship at Stanford University. Her research focuses on Natural Language Processing (NLP) with emphasis on information extraction, event recognition, media bias analysis, and ethical AI applications. She teaches courses like Information Storage and Retrieval (CSCE 470), Natural Language Processing (CSCE 638), and has advised numerous PhD, Master’s, and undergraduate students. Key research contributions include work on event coreference resolution, discourse analysis, and detecting media bias through event relation graphs. Huang has developed benchmark datasets like UAL-Bench and EMONA, and her work spans applications in disaster management, fake news detection, and moral reasoning in LLMs. She is a recipient of the NSF CAREER Award and serves on program committees for top conferences like ACL and EMNLP. Her academic service includes roles as Area Chair for ACL 2024 and Senior Area Chair for EMNLP 2024. She maintains an active lab group focusing on NLP fundamentals and real-world applications, with projects involving propaganda identification, polarity calibration for opinion summarization, and multimodal dialog act classification. Huang has published over 80 papers in top-tier venues such as NAACL, EMNLP, ACL, and NeurIPS.

Jacky BourgeoisView profile

Assistant Professor

• Data-Centric Design
• Human-Computer Interaction
• Data Science
• +5 more

Jacky Bourgeois is an Assistant Professor of Data-Centric Design at Delft University of Technology's Faculty of Industrial Design Engineering (IDE), leading the Data-Centric Delft Design Lab. His work bridges Human-Computer Interaction, Data Science, and Participatory Design, focusing on methods like data donation to empower collaborative data exploration. He holds a computer science background, previously researching ubiquitous technologies for domestic energy practices of 'energy farmers' (solar households). Key projects include the PROMISE study on patient-led oncological care and the Data Donation initiative promoting ethical data practices. Education: Background in Computer Science; academic focus on sustainable design engineering and IoT. Teaching includes courses like 'Data-Centric Design for...' (2024) and 'Digital Product Development' (2023). Research Interests: Data as subjective inquiry material, data intimacy, data commons, and human-data interaction in home contexts. Notable contributions include PAIRcolator for collaborative data reflection and Tangi for 360° video insights. Awards include Best Paper at CHI 2025 and DIS '24 Best Paper. Grants & Collaborations: NWO-funded research on hospital sounds (2024), IoT Rapid Proto Labs for industry-academia partnerships, and ancillary role as a scientific employee at The Open University (2025–2027). Labs & Teams: Director of the Data-Centric Delft Design Lab; collaborates with the HCI Data & Design SIG. Current projects address ethical frameworks for data donation and patient-centered healthcare systems.

Theo DamoulasView profile

Professor

• Probabilistic Machine Learning
• Bayesian Statistics
• Digital Twins
• +5 more

Theo Damoulas is a Professor of Machine Learning at the University of Warwick with a joint appointment in the Department of Computer Science and Statistics. He is a Turing AI Fellow (2021-2026) through UK Research and Innovation, an ELLIS member, and a Visiting Professor at New York University's Center for Urban Science and Progress (CUSP). He founded and leads the Warwick Machine Learning Group and has directed major projects at The Alan Turing Institute including Project Odysseus and the London Air Quality project. Education includes: PhD in Probabilistic Multiple Kernel Learning (University of Glasgow, 2009) MSc in Informatics (Distinction, University of Edinburgh, 2004) MEng in Mechanical Engineering (1st Class, University of Manchester, 2003) His research focuses on probabilistic machine learning and Bayesian statistics, emphasizing the integration of structural priors, spatiotemporal dependencies, physical laws, and causal relationships. Key applications include Digital Twins, urban science, and computational sustainability. His work advances robust and scalable inference methodologies for complex real-world systems. Publications demonstrate strong emphasis on Bayesian methods, spatiotemporal modeling, and uncertainty quantification, with applications spanning battery modeling, urban mobility, federated learning, and causal inference. Recent work shows increased focus on physics-informed models, federated learning frameworks, and causal abstraction techniques. Major scientific awards: Turing AI Acceleration Fellowship (2021-2026) Best Paper Awards (Wilkes 2024, AISTATS 2022, IEEE ICMLA 2010) ACM SIGMOD Most Reproducible Paper (2017) Dissertation Award (Classification Society 2012) Teaching Excellence nominations (Warwick 2015-2017) He actively advises PhD students and secured significant grants including the £multi-million Turing AI Fellowship. Current doctoral researchers investigate federated learning, causal inference, and spatiotemporal modeling. He leads the Warwick Machine Learning Group, a cross-departmental team developing foundational ML methods for scientific and societal challenges.

Wim BiemansView profile

Associate Professor

• Innovation Management
• B2B Marketing
• Service Innovation
• +6 more

Dr. Wim Biemans is an Associate Professor at the Faculty of Economics and Business of the University of Groningen, specializing in Innovation Management and Marketing. He holds a PhD from Eindhoven University of Technology (1989) and has over 25 years of experience in research, teaching, and consulting. His work focuses on service innovation, B2B marketing, customer involvement in innovation, and the marketing-sales interface. He has authored over 100 peer-reviewed articles and books, including the best-selling Dutch B2B marketing textbook. His research has been recognized with awards like the Thomas P. Hustad Best Paper Award. He serves as Triage Editor for the Journal of Product Innovation Management and editorial board member for Industrial Marketing Management and Journal of Business & Industrial Marketing. Biemans teaches at the University of Groningen and multiple international institutions, including guest professor roles in Europe, Asia, and the U.S. He also designs executive programs for managerial training in innovation management and customer value creation. His recent research explores humor’s impact on creativity, digital tools in sales-marketing integration, and bridging technology-to-product development gaps. He emphasizes end-to-end value creation through intra-organizational collaboration and has published on the Valley of Death ecosystem challenges in innovation commercialization.

Jakob MeraneView profile

Researcher

• Artificial Intelligence
• Legal Technology
• Compliance and Regulation
• +3 more

Jakob Merane is a postdoctoral researcher at ETH Zurich's Professorship of Law, Economics and Business, and a visiting researcher at the Max Planck Institute and Harvard Law School. He holds a Ph.D. from ETH Zurich and law degrees from the University of Basel, with additional studies in applied statistics. His research focuses on AI-driven legal enforcement, legal technology, and compliance-by-design approaches, leveraging computational and empirical methods. Merane's work includes developing tools like SwiLTra-Bench for multilingual legal translation and LEXam for benchmarking AI legal reasoning. He has contributed to GDPR compliance studies, automation of legal enforcement processes, and quantitative analyses of Swiss legal datasets. Awards include the 2024 Young Scholar Prize from the German Law and Economics Association. Teaching responsibilities include ETH's Law & Tech course since 2020, emphasizing AI regulation and interdisciplinary collaboration between law and computer science. Merane's research also addresses AI liability in medical contexts, digital advertising regulations, and ethical AI integration in legal systems. His work bridges legal theory with practical applications, aiming to enhance justice accessibility through technology.

Richard JochelsonView profile

Professor

• Criminal Law
• Constitutional Law
• Police Powers
• +7 more

Richard Jochelson serves as Dean of Law at the Faculty of Law, University of Manitoba (Robson Hall), a position he has held since July 1, 2016. Previously, he taught criminal law for 10 years at the University of Winnipeg. Dr. Jochelson holds a Ph.D. in Law from Osgoode Hall Law School at York University, an LLM from the University of Toronto Faculty of Law, an LL.B. with Gold Medal from the University of Calgary Faculty of Law, and a B.Sc. in Zoology with Distinction from the same institution. He completed his legal training as a clerk at the Alberta Court of Appeal and Court of Queen's Bench before working at a major Canadian law firm. Dr. Jochelson's research program centers on critical issues in criminal justice and constitutional law, with primary interests in police powers jurisprudence, sexual regulation (particularly obscenity and indecency law), jury systems and representativeness, and legal pedagogy. His interdisciplinary approach bridges law with sociology and psychology, bringing empirical and theoretical rigor to legal scholarship. His work consistently addresses social justice concerns, examining how vulnerable populations interact with the justice system and how concepts like risk, precaution, and visibility shape legal decision-making. He has developed a distinctive methodology combining doctrinal analysis with empirical research on judicial behavior and jury decision-making. His recent publications reveal evolving scholarly priorities that respond to contemporary legal challenges. The 2025 article "Morbid Matters" addresses medical assistance in dying within federal corrections, while his 2024 works on youth terrorism cases and agnotology demonstrate expansion into new interdisciplinary territories. His longstanding commitment to police powers scholarship continues with "Ancillary Police Powers in Canada" (2024). The pandemic period saw significant contributions to understanding digital justice, mental health in legal education, and remote court proceedings. His criminal law scholarship maintains focus on jury representativeness, particularly regarding Indigenous inclusion following Bill C-75's elimination of peremptory challenges. Students' Teacher Recognition Award (CATL) - 2018 Dr. Jochelson has secured multiple SSHRC Insight Grants as both Principal and Co-investigator, demonstrating his ability to lead interdisciplinary research teams. His mentorship extends to junior academics and students, with several publications co-authored with emerging scholars. He has built significant research infrastructure, notably assembling nearly 40 interdisciplinary scholars across Canada for Robsoncrim.com, which has elevated the Criminal Law Edition of the Manitoba Law Journal to prominence as one of Canada's preeminent criminal law publications. As Dean of Law, Dr. Jochelson provides leadership in academic governance and legal education innovation. His service includes extensive committee work on academic affairs, workload policy, and hiring/tenure committees. His commitment to universal design principles informs both his teaching approach and administrative leadership, emphasizing accessibility and student-centered pedagogy that allows flexible evaluation methods tailored to individual learning preferences.

Lance FreemanView profile

Professor

• Urban Planning
• Urban Sociology
• Gentrification
• +5 more

Lance Freeman is the Penn Integrates Knowledge (PIK) Professor of City and Regional Planning and Sociology at the University of Pennsylvania's School of Arts & Sciences. His research focuses on neighborhood dynamics, gentrification, urban poverty, housing policy, and the interplay between the built environment and public health. He holds a Ph.D. in City and Regional Planning from the University of North Carolina at Chapel Hill (1997), an MRP in Regional Planning (1991), and a B.S. in Business Administration from SUNY Buffalo (1987). Prior to academia, he worked at Mathematica Policy Research and as a City Planner at the New York City Housing Authority. Freeman teaches courses on urban planning theory, quantitative methods, and community development at Columbia University and the University of Delaware. His research interests include understanding neighborhood change, leveraging social media and technology for urban analysis, and promoting equitable urban development. Key publications include There Goes the Hood: Views of Gentrification from the Ground Up (2006), A Haven and a Hell: The Ghetto in Black America (2019), and co-authored Planning and Control of Land Development (2020). He has contributed to debates on inclusionary zoning, racial equity planning, and the impacts of urban policies on marginalized communities. Freeman's work intersects urban sociology, policy analysis, and spatial demography. His recent studies explore gentrification migration patterns, the role of social media in neighborhood change, and historical segregation dynamics. He advocates for evidence-based planning to address urban inequality and spatial injustice.