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Valerie SchneiderView profile

Professor

• Housing Law
• Civil Rights Law
• Property Law
• +4 more

Valerie Schneider is a Professor of Law and Director of the Clinical Law Center at Howard University School of Law. She joined the faculty in 2012 and teaches courses including Property, Sexuality, Marriage and the Supreme Court, and Legal Methods, as well as directing the Fair Housing Clinic. Her educational background includes: J.D. (with honors) from the George Washington University Law School B.A. (magna cum laude) from the University of Pennsylvania Professor Schneider's research focuses on Housing Law and Civil Rights , with particular expertise in Fair Housing , Affordable Housing Development , and the intersection of Algorithms and Housing Justice . Her work examines how criminal background checks and big data algorithms perpetuate racial discrimination in housing, and she advocates for disparate impact theory under the Fair Housing Act. Her recent publications reveal a strong trend in analyzing systemic barriers to housing, especially the impact of technology and criminal justice involvement on marginalized communities. She has written extensively on disparate impact and the Fair Housing Act, contributing to both academic discourse and practical legal advocacy through amicus briefs. As Director of the Clinical Law Center, Professor Schneider leads the Fair Housing Clinic and Civil Rights Clinic, providing hands-on legal experience to students while addressing critical housing justice issues in the community.

• Polyploid Genetics
• Botrytis Resistance in Ornamentals
• Haplotype Analysis
• +5 more

Paul Arens is a Researcher at Wageningen University & Research , specializing in plant breeding and genetics. His work focuses on polyploid crop genomics, particularly in ornamental species like roses and chrysanthemums. Active in genetic mapping, haplotype resolution, and disease resistance breeding Develops advanced imaging and computational tools for phenotyping Leads projects on chrysanthemum genome diversity and Botrytis resistance His research integrates genomics with practical breeding applications, addressing challenges in allopolyploid species like Fragaria x ananassa (strawberry) and tetraploid potatoes. Recent work emphasizes automated disease scoring (Spotibot) and haplotype-specific genome assembly. Current projects include: LWV22014 : Tapping into chrysanthemum genome diversity LWV20112 : Sequence-based markers for polyploid breeding Breaking the bond with Botrytis : Genetic resistance in Rosaceae He collaborates internationally on polyploid genome sequencing and contributes to plant genotyping methodologies.

Eirik ØsterudView profile

Professor

• Competition law
• Market law

Eirik Østerud is a Professor at the Department of Private Law, Faculty of Law, University of Oslo, where he also serves as Acting Dean of Research. His academic career has been deeply rooted in competition law, with a focus on EU/EEA competition regulations and their application in Norwegian legal contexts. Born in 1978, Østerud earned his Cand. jur. (Norwegian law degree) in 2005 and completed his Ph.D. in 2010 from the University of Oslo's Faculty of Law. His doctoral thesis, 'Identifying Exclusionary Abuses under Article 82 EC – the Spectrum of Tests,' examined the prohibition on abuse of market dominance in EU competition law. Prior to his permanent academic appointment, he worked at BA-HR law firm from 2010 to 2013. Professor Østerud's research centers on competition law, with particular expertise in abuse of dominance, merger control, and the intersection of competition law with digital markets. His work addresses critical issues such as the application of competition rules to digital platforms, liability for competition law infringements, and the evolving regulatory landscape in Norway and the EEA. He has made significant contributions to understanding how traditional competition law principles apply to modern economic challenges, especially in data-driven markets. His publication record demonstrates a consistent focus on practical applications of competition law, with numerous articles analyzing Norwegian competition authorities' approaches, Supreme Court decisions, and the harmonization of Norwegian competition law with EU/EEA frameworks. Recent work increasingly addresses digital economy challenges, reflecting the evolving nature of competition law in the 21st century. Østerud is actively involved in the academic community through his participation in research groups including the Labor Law Group and the Market, Innovation and Competition (MIK) group at the University of Oslo. His work bridges theoretical competition law principles with practical enforcement considerations, making him a key contributor to Norway's competition law scholarship and practice.

• Business Management
• Economics
• Air Transport Economics
• +6 more

Stanislav Szabo is a Professor in the Department of Commercial Entrepreneurship at the Faculty of Business Economics with seat in Košice, University of Economics in Bratislava. He maintains a workplace in Michalovce and possesses an extensive academic background with qualifications including PhD, MBA, and LL.M, along with honorary distinctions Dr.h.c. and prof.h.c. Position: Professor Department: Department of Commercial Entrepreneurship Workplace: Michalovce Contact: Phone 056/6443290 Professor Szabo's research spans multiple domains of business economics with particular emphasis on air transport economics, financial analysis methodologies, and performance measurement systems. His scholarly work demonstrates expertise in applying analytical frameworks to practical business challenges across transportation, healthcare, and corporate management sectors. His recent publications reveal a strategic research trajectory focused on transportation economics, particularly in aviation, with significant contributions to understanding operational efficiency in aircraft ground handling, pandemic response in air transport systems, and optimization of flight route economics. His work also extends to healthcare management, where he examines staff motivation and efficiency measurement in medical facilities. Teaching activities include: Managing human resources, Communication and Management, Distribution management, and Project management His scholarly output shows consistent productivity from 2004 through 2022 He frequently collaborates with researchers like GAVUROVÁ, B. on performance measurement systems Professor Szabo's research bridges theoretical frameworks with practical applications, particularly evident in his work on airport operations, airline economics, and crisis management in transportation systems. His publications in journals such as Aerospace, Sustainability, and Journal of Applied Economic Sciences demonstrate international scholarly impact in his specialized fields.

Timo KumpulaView profile

Professor

• Remote Sensing
• Environmental Geoinformatics
• Ecosystem Services
• +7 more

Timo Kumpula is a Professor at the Department of Geographical and Historical Studies , Faculty of Social Sciences and Business Studies, University of Eastern Finland. His research focuses on Arctic and boreal ecosystem dynamics , combining remote sensing technologies with field measurements to analyze vegetation patterns, permafrost degradation, and reindeer grazing impacts. Key projects: LANDMOD (2020-2024), RESONATE (2025-2027), ReindeerPaths (2020-2024) Research themes: climate change impacts , ecosystem service mapping , social-ecological systems , UAV-based monitoring His recent 15 publications (2021-2025) demonstrate expertise in Arctic vegetation mapping , peatland succession , and multi-sensor integration . Studies span from Yamal Peninsula petroleum impacts to Finnish aapa mire conservation. Collaborations include Arctic research networks across Russia , Northern Europe , and Canada , with institutional ties to University of Eastern Finland and University of Lapland research centers.

• Music Information Retrieval
• Digital Musicology
• Computational Music Similarity
• +3 more

Daniel Wolff is a researcher affiliated with City University London , specializing in computational music similarity modeling and big data applications in musicology. His work bridges machine learning, audio signal processing, and music theory to analyze large-scale music collections. Doctoral thesis (2014): Spot the Odd Song Out: Similarity Model Adaptation and Analysis using Relative Human Ratings Key research focus: Adaptive similarity metrics, chord progression mining, and dataset automation Active in conferences like ISMIR, ACM Digital Libraries, and Interdisciplinary Musicology workshops Research Trends: His publications emphasize: Big data infrastructure for musicological research Machine learning techniques for audio feature extraction Interactive visualization of harmonic patterns User-driven similarity modeling via comparative ratings Technical Contributions: Developed uncertainty sampling methods for dataset curation, parallel computing approaches for chord analysis, and reproducible frameworks for music similarity evaluation.

Luke WiewiorraView profile

Assistant Professor

• Digital Transformation
• Network Economics
• Information Systems
• +3 more

Jun. Prof. Dr. Luke Wiewiorra is a Junior Professor for Business Informatics and Microeconomics at Goethe University Frankfurt. His work bridges digital transformation studies with economic analysis of network industries, focusing on digital infrastructures , net neutrality , and ICT business models . Goethe University Frankfurt, Germany Department of Business Informatics and Information Economics Research Highlights : Economics of digital sovereignty in cloud markets Regulatory implications of 5G deployment Behavioral analysis of ad-blocking adoption Interoperability under Digital Markets Act Article Trends show recurring focus on: Network economics across 2022-2025 Data governance frameworks Algorithmic pricing dynamics Telecommunications regulation Scientific Distinctions : VHB Young Talent Award (2013) KIT Doctoral Award (2013) IME Best Paper Award (2010) NET Institute Summer Grant (2010) Advising : Supervises doctoral candidate Christian Hildebrandt at Goethe University Frankfurt, focusing on Internet economy industrial organization .

• Comparative Law
• Civil Law
• Human Rights
• +4 more

Domitilla Vanni, an Associate Professor in Jurisprudence at the University of Palermo (UNIPA), specializes in General Private Law. With office hours held on Mondays and Tuesdays, she focuses on comparative legal analysis across civil law, human rights, and medical law domains. Research Trends: Her work spans comparative judicial liability, environmental disaster litigation, and legal identity in the digital age. Publications highlight intersections between globalization and legal education, as well as bioethical dilemmas in medically assisted reproduction. Key Subfields: Comparative Civil Procedure Environmental Law Medical Ethics AI Governance Restorative Justice Minor Rights

• Chemometrics
• Analytical Chemistry
• Spectroscopy
• +4 more

Nicola Cavallini is a Fixed-term Assistant Professor at the Department of Applied Science and Technology (DISAT) , Politecnico di Torino , and a member of the College of Chemical and Materials Engineering . He holds a Scientific Branch CHEM-06/A - Chemical Foundations of Technologies within Area 0003 - Chemical Sciences . Since 2020, he has been teaching Principles of Chemometrics and Practical Design of Experiments to PhD and undergraduate students in Chemical Engineering. 2025/26 : Course Lecturer for Principles of Chemometrics 2024/25 : Course Lecturer for Principles of Chemometrics 2023/24 : Course Lecturer for Principles of Chemometrics 2022/23 : Course Collaborator for Principles of Chemometrics 2021/22 : Course Collaborator for Principles of Chemometrics 2020/21 : Course Collaborator for Principles of Chemometrics His research focuses on Chemometrics , Analytical Chemistry , and Applied Spectroscopy , particularly in food authentication and materials characterization. He has developed methods for ethanol quantification in wine using NMR, rice variety classification via hyperspectral imaging, and fermentation monitoring with portable NIR sensors. Collaborative projects include polymer electrolyte optimization and textile waste valorization in biotechnological processes. Recent publications highlight his work on: Food Fraud Detection (Mechanically Separated Meat in processed products) Advanced Spectroscopic Techniques (NMR and NIR applications) Algorithm Development for FESEM image analysis Sustainable Material Processing (Polymer blends, textile waste) Plant-Microbe Interactions (β-ionone's role in mycorrhization)

Artem TsikiridisView profile

Research Fellow

• Algorithmic Mechanism Design
• Auctions
• Online Algorithms
• +2 more

Artem Tsikiridis is a Research Fellow at Centrum Wiskunde & Informatica (CWI) in the Networks & Optimization group, where he works on algorithmic mechanism design, auctions, and online algorithms. He completed his PhD in 2023 at Athens University of Economics and Business under Vangelis Markakis. His research intersects computer science and economics, focusing on: Budget-feasible mechanism design Online optimization under uncertainty Algorithmic game theory applications His publications demonstrate consistent focus on market mechanisms and optimization, with recent work incorporating prediction models and trust frameworks. He serves on multiple program committees including EC and WINE. Awards include: Best Paper Award at SAGT 2017 He collaborates internationally and maintains active engagement through conference presentations and research visits.

• Criminology
• Surveillance Studies
• Police Accountability
• +3 more

Dr. Ajay Sandhu is an Associate Professor in the Department of Criminology at Toronto Metropolitan University. He specializes in qualitative criminological research, with a focus on the interplay between surveillance technologies and police authority. His work examines how smartphone cameras and body-worn devices transform police accountability and visibility. Education: PhD in Sociology (2016, University of Alberta) MA (2011, York University) BA (2009, York University) Research Focus: Sandhu investigates digital surveillance's impact on policing dynamics, including public monitoring of police via smartphone cameras, body-worn camera cinematography, and predictive policing technologies. His research reveals how digital tools reconfigure accountability, transparency, and legitimacy in law enforcement. Teaching: Courses include CRM 302 (Criminology Theory), CRM 350 (Cyber Criminology), and CRM 8202 (Crime and Technology), emphasizing theoretical and technological dimensions of modern criminology.

Karen SchlossView profile

Associate Professor

• Visual Perception
• Cognitive Science
• Color Semantics
• +3 more

Karen Schloss is an Associate Professor in the Department of Psychology at the University of Wisconsin–Madison, affiliated with the Wisconsin Institute for Discovery (WID). Her Visual Reasoning Lab explores how humans interpret visual features like color in contexts ranging from information visualization to virtual reality. She holds a BA from Barnard College (2005) and a PhD from UC Berkeley (2011), followed by a postdoc at Berkeley and an Assistant Professorship at Brown University before joining UW–Madison in 2016. Education: PhD, Psychology, University of California, Berkeley (2011) BA, Psychology, Barnard College, Columbia University (2005) Her research focuses on color semantics, colormap data visualization effectiveness, and VR education tools. Notable projects include the UW Virtual Brain Project, an immersive neuroanatomy teaching platform, and Colorgorical , a tool for generating effective data visualization palettes. She has pioneered studies on how color categories influence concept associations and how political maps' color choices affect societal perceptions of polarization. Her work bridges cognitive science and applied design, addressing both foundational perceptual questions and real-world communication challenges. Awards include the NSF CAREER Award (2022) and the Steve Yantis Early Career Award (Psychonomic Society). Grants and collaborations include NSF funding for visual reasoning research and WID support for VR initiatives. Her lab actively investigates crossmodal associations (e.g., music-color links) and ecological factors shaping color preferences, contributing to both theoretical psychology and practical visualization frameworks.

James FerwerdaView profile

Associate Professor

• Imaging Science
• Computer Graphics
• Visual Perception
• +2 more

James A. Ferwerda is an Associate Professor in the Chester F. Carlson Center for Imaging Science at the Rochester Institute of Technology. His research focuses on computational models of human vision derived from psychophysical experiments and developing advanced imaging systems. He holds a B.A. in Psychology, M.S. in Computer Graphics, and Ph.D. in Experimental Psychology from Cornell University. Education: Ph.D. Experimental Psychology, Cornell University M.S. Computer Graphics, Cornell University B.A. Psychology, Cornell University Dr. Ferwerda's research explores visual perception mechanisms, material appearance modeling, and psychophysical methods. His work bridges computer graphics with human vision science to create practical imaging tools and measurement techniques. Recent publications (2018-2023) show a consistent focus on material perception under varied environmental conditions. Key trends include: development of psychophysics tools (FechDeck), multispectral visualization techniques, and surface property analysis. His 15 most recent articles demonstrate strong cross-disciplinary integration of computer vision, VR technology, and perception science. Scientific Awards: Seminal Graphics Paper, ACM SIGGRAPH 50th Anniversary (2023) Top 2% most-cited scientist globally (Stanford University, 2022) Xerox Chair in Imaging Science (2011) 3 Best Paper awards at major conferences National Academy of Engineering Frontiers of Engineering (2003, 2005) Dr. Ferwerda has advised over 20 graduate students including 15 Ph.D. candidates. Major grants include NSF IIS-1064410 ($398,810 for material appearance modeling) and collaborations with Corning, Xerox, and Hewlett-Packard. He directs the Visual Perception Laboratory and collaborates with international teams on material perception research.

Rohan NandaView profile

Assistant Professor

• Legal Informatics
• Natural Language Processing
• Data Science
• +7 more

Rohan Nanda is an Assistant Professor with a joint position at the Institute of Data Science (IDS) and the Law & Tech Lab at Maastricht University. His affiliations include the Faculty of Science and Engineering (Dept. of Advanced Computing Sciences) and the Faculty of Law (Privaatrecht). He specializes in legal informatics, natural language processing (NLP), and applied data science, focusing on interdisciplinary AI and law research, particularly HR analytics and computational law. Dr. Nanda holds a Joint International Ph.D. in Law, Science, and Technology and a Ph.D. in Informatics from the University of Luxembourg and University of Bologna (2019), supported by two Erasmus Mundus Fellowships from the European Commission. He also earned an Erasmus Mundus Master's in Pervasive Computing & Communications (PERCCOM) from the University of Lorraine. Prior to academia, he worked as an AI Specialist at Data Appeal Company in Florence, Italy. His research explores challenges in legal terminology harmonization, EU directive implementation analysis, and applying machine learning to detect bias in job advertisements and fraudulent job postings. He leads the FACILEX project as the local Principal Investigator, focusing on AI-driven legal frameworks. He has held visiting researcher positions at Politecnico di Milano, IIIA-CSIC Barcelona, University of Turin, and Luleå University of Technology. Key awards include the prestigious Erasmus Mundus Fellowships for both his Master's and Ph.D. His work spans legal knowledge management, cybersecurity in networks, and marine environmental policy analysis. He collaborates across disciplines, blending computer science with law to address societal challenges like regulatory compliance and digital traceability in criminal activities.

Uwe PetersView profile

Assistant Professor

• Philosophy of Science
• Cognitive Biases
• Artificial Intelligence Ethics
• +3 more

Uwe Peters is Assistant Professor in Theoretical Philosophy at Utrecht University's Department of Philosophy and Religious Studies. His research investigates cognitive and social biases, societal implications of artificial intelligence, and meta-science (scientific research on scientific cognition). Primary expertise spans philosophy of science, psychology, AI ethics, and cognitive science. Education includes: MSc in Psychology and Neuroscience of Mental Health, King's College London (2022) PhD in Philosophy, King's College London (2016) MA Philosophy of Psychology, King's College London (2011) MA Philosophy, University of Canterbury (2010) Research focuses on human-centered AI, examining algorithmic political bias, generalization errors in scientific models, and linguistic discrimination in academia. Recent work analyzes cultural biases in explainable AI systems and generalization patterns in large language models. Teaching covers Philosophy of AI, Practical Ethics, and Ethics of Technology. Professional background includes postdoctoral positions at University of Cambridge's Leverhulme Centre for the Future of Intelligence and University of Bonn's Center for Science and Thought.