جستجوی استاد راهنمای دانشگاهی

• Copyright Law
• EU Intellectual Property Law
• Digital Single Market Regulation
• +۴ مورد دیگر

Bernd Justin Jütte is an Associate Professor at the School of Law (Sutherland School of Law) at University College Dublin (UCD). He specializes in intellectual property law, focusing on digital copyright, exceptions, user rights, and EU regulatory frameworks. His work emphasizes balancing creator rights with user freedoms in the digital age. Education: LLB, University of Greifswald (Germany) Master en Droit Européen, University of Luxembourg PhD in Law, University of Luxembourg (2016), with a thesis published as Reconstructing European Copyright Law for the Digital Single Market . Research Interests: EU copyright reform and digital single market challenges Text-and-data mining exceptions User rights and access to information AI's impact on copyright Platform liability under the CDSM Directive Fundamental rights in digital environments Teaching & Professional Activities: Coordinates modules in Copyright Law, EU Law, Patent Law, and AI Regulation at UCD Teaches Intellectual Property Law and Internet Law at the University of Luxembourg and Vytautas Magnus University Professional activities include peer review for Journal of Intellectual Property Law & Practice , Grur International , and others Assesses grants for institutions like the Netherlands Organisation for Scientific Research (NWO) Grants & Funding: Consumer Leadership Academy 2025 Project (June 2025–June 2026) User Access Rights Research (June 2025–June 2026) His research trends emphasize modernizing copyright law to accommodate digital innovation while protecting user rights, with a focus on EU harmonization challenges and platform governance. Recent work critiques upload filters and advocates for user-centric reforms.

• Data Governance
• AI Ethics
• Data Protection
• +۴ مورد دیگر

Dr. Rob Brennan is an Assistant Professor in the School of Computer Science at University College Dublin. With 25 years of academic and industry experience, he specializes in data governance, AI ethics, and cybersecurity. His research integrates socio-technical systems analysis, data protection frameworks, and healthcare risk management. He leads the Value and Risk research challenge within the ADAPT Centre's Transparent Digital Governance initiative and coordinates projects like the ARK platform for risk governance. Education: BSc in Physics, Dublin City University MSc, Queen's University Belfast PhD in Governance, Dublin City University Professional Diploma in University Teaching and Learning, University College Dublin Research Interests: Data Governance & AI Accountability GDPR Compliance & Privacy Engineering Healthcare Risk Management Knowledge Graphs & Linked Data Cybersecurity & Incident Response Key Contributions: Co-PI of Science Foundation Ireland's Empower Data Governance project Coordinator of the €4M H2020 ALIGNED project on software/data engineering Developed the ARK platform for risk governance in healthcare and cybersecurity Grants & Awards: Best Paper Award at Extended Semantic Web Conference 2023 Principal Investigator for grants including the ARK-Virus platform (SFI-funded) Teaching & Mentorship: Coordinates courses on Cyber Risk Assessment, Incident Response, and Data Protection Supervises PhD students focusing on data governance and AI ethics Co-developed the MA in Data Protection and Privacy Law with Computing Professional Activities: Member of FAccT 2023 Program Committee Co-chair of the Irish Conference on Artificial Intelligence and Cognitive Science Contributor to international standards (OMG, IETF, 3GPP)

Morten Hviidمشاهده پروفایل

استاد

• Competition Law
• Industrial Economics
• Tort Law
• +۲ مورد دیگر

Morten Hviid is a Professor of Law at the University of East Anglia (UEA) School of Law, specializing in competition law, tort law, contract law, and the economic analysis of legal systems. He joined UEA in 2004 after holding economics positions at the University of Copenhagen, University of Warwick, and UEA's School of Economic and Social Studies. A founding member and former Director (2011-2018) of the Centre for Competition Policy, he contributes to the Centre for Business Research at Cambridge University, UK Intellectual Property Office advisory groups, and Ofgem's academic panel. Biography: Holds MA and PhD in Economics from Warwick, economic degree from Aarhus University, and has been a visiting scholar at Yale, UC Berkeley, University of Michigan, and Copenhagen. Editorial Roles: Former editor of the Journal of Industrial Economics and associate editor of the International Journal of Industrial Organization. Former EARIE Executive Committee member. Research Focus: Applies economic principles and game theory to competition law, tort, and contract law. Current projects examine policy arguments in tort cases, non-compensatory damages in contract law, collusive practices, and digitalization impacts in creative industries. Funded by Danish Social Science Research Council, ESRC, AHRC, Ofcom, Ofgem, and OECD. Publications: Appear in journals like Economic Journal, European Competition Journal, Journal of Law and Economics, and Oxford Journal of Legal Studies. Recurring themes include competition policy implementation, pricing dynamics, and algorithmic market impacts. Teaching: Leads undergraduate LLB modules on Tort and The Economic Approach to Law. Previously taught UK Competition Law, Regulation of Network Industries, and research seminars. Extensive experience supervising over 35 doctoral students. External Collaborations: Engaged in consultancy projects with Anglian Water, Korean Government Fellowship, and policy responses for UK regulatory bodies like CMA, Financial Conduct Authority, and BEIS.

Ping Zhongمشاهده پروفایل

دانشیار

• Free Probability
• Random Matrix Theory
• Operator Algebras
• +۲ مورد دیگر

Ping Zhong is an Associate Professor in the Department of Mathematics at the University of Houston. He holds a Ph.D. from Indiana University Bloomington and joined UH in 2024 after serving as Assistant Professor at the University of Wyoming (2018-2024) and completing postdoctoral work at the University of Waterloo. His research explores free probability theory, operator algebras, and applications of random matrix theory to high-dimensional statistics. Educational background includes: Ph.D. Mathematics, Indiana University (2014) M.S. Mathematics, Peking University (2008) B.S. Applied Mathematics, Huazhong University of Science and Technology (2005) Research focuses on fundamental mathematical structures in probability with emerging applications in quantum physics and statistical learning. Current investigations bridge theoretical frameworks with computational approaches for high-dimensional data analysis. Recent publications demonstrate consistent contributions to spectral analysis of random operators and convergence properties in non-commutative probability spaces. Works frequently appear in premier mathematics journals including Transactions of the AMS and Journal of the European Mathematical Society.

Olatunji Adekoyaمشاهده پروفایل

مدرس ارشد

• Human Resource Management
• Organisational Behaviour
• Work-Life Balance
• +۷ مورد دیگر

Dr Olatunji Adekoya is a Senior Lecturer and Course Leader for the MSc Human Resources and Organisational Development at Sheffield Business School, part of Sheffield Hallam University. He holds multiple academic credentials including a PhD in Management (University of East London), an MBA (University of Wales Trinity Saint David), a Harvard Business School Diploma in Business Analytics, and a Bachelors in Economics (University of Lagos, Nigeria). His research focuses on global south workplace dynamics, particularly in work-life balance, employee wellbeing, green HRM, gender issues, and gig economy challenges. He has published extensively in journals like the British Journal of Management and Gender, Work & Organisation, co-edited books on African career studies and international HRM, and serves as an external examiner for UK and international universities. His academic leadership includes mentoring doctoral researchers and advancing inclusive teaching practices as a Senior Fellow of Advance HE and Certified Management and Business Educator. He actively consults on organisational resilience and diversity initiatives, leading projects that bridge academic research with practical business solutions. His work often critiques cultural and institutional barriers in workplaces, advocating for equitable policies and sustainable HRM practices. Dr Adekoya’s research awards include recognition for his contributions to teaching excellence (SFHEA) and HRM education (CMBE). His research explores intersections between technology, environment, and labour, with a focus on Nigeria, the UK, and other Global South nations. His current projects address AI’s impact on gig economies, digital HRM adoption challenges, and gender equity in entrepreneurial ecosystems.

Irmgard Borghoutsمشاهده پروفایل

استاد

• Employment Security
• Labor Market Policy
• Social Security
• +۵ مورد دیگر

Prof. Irmgard Borghouts is an endowed professor of HRM & Social Security at Tilburg University, Netherlands, with an endowment from Instituut Gak. She leads research on inclusive labor markets within the Department of Human Resource Studies at the Tilburg School of Social and Behavioral Sciences. As director of the People Management Center and a visiting professor at University West (Sweden), her work focuses on labor market policy, social security, and inclusive HRM. Her Ph.D. (2012) explored employment security systems across Europe, earning the German Science Prize (2016). She advises on disability insurance systems and sits on boards of organizations like Willem II Betrokken and ETZ Hospital's Supervisory Board. Education: Ph.D. in Employment Security Systems (2012), Tilburg University Research Interests: Her expertise bridges social security and HRM, addressing transitions to employment for vulnerable groups (e.g., disabled individuals) and job-to-job mobility. She emphasizes inclusive practices, policy integration, and employer roles in disability inclusion. Key themes include labor market flexibility, social policy alignment, and digital transformation impacts on work. Grants & Awards: German Science Prize (2016) EU-funded projects on labor market policies Netherlands Ministry of Social Affairs collaborations Labs & Teams: Leads the People Management Center, fostering interdisciplinary research on inclusive labor markets. Collaborates with global institutions on disability inclusion and HRM innovation.

Igor Molybogمشاهده پروفایل

استادیار

• Artificial Intelligence
• Large Language Models
• Multimodal Modeling
• +۵ مورد دیگر

Igor Molybog is an Assistant Professor at the University of Hawai'i at Manoa, holding joint appointments in the Departments of Electrical and Computer Engineering and Information and Computer Sciences. His research focuses on advancing artificial intelligence, particularly through large language models (LLMs), multimodal modeling, and core machine learning optimization. He leads the HawAII research group, exploring applications like LLM alignment, efficient inference systems, and scaling properties of foundation models. Education: Ph.D. in Engineering from UC Berkeley (2022), specializing in optimization algorithms for complex systems. Previously worked at Meta AI on LLaMa model development. Research Interests: Efficient LLM development and evaluation frameworks Multimodal AI integration (video/audio + text) Scalable optimization for large models Computational efficiency in training/ inference Recent Work: Presented REAL alignment method (2024), developed long-context scaling techniques (2023), contributed to Llama 2 chat models (2023). Collaborates with organizations like Epoch AI on scaling challenges. Teaching: Offers courses in AI, machine learning, and optimization across ECE and ICS departments. Labs/Teams: Leads HawAII Initiative fostering AI collaboration at UH Manoa, organizes paper reading seminars, and hosts technical talks with industry experts.

• Digital Journalism
• Media Studies
• Digital Cultures
• +۴ مورد دیگر

Maren Schuster is a Lecturer and academic coordinator at the Department of Media and Communication Studies within the Faculty of Philosophy II at Martin Luther University Halle-Wittenberg (MLU). Since 2013, she has led the Master's Program in Multimedia and Authorship , focusing on digital journalism and interdisciplinary research. Her work emphasizes applying digital methods to explore contemporary societal issues through media practices, with a particular interest in representation, diversity, and media transformation. She holds degrees in German, Psychology, Comparative Arts (University of Leipzig), and Multimedia and Authorship (MLU). Her research spans digital journalism, media format development, and digital cultures. She has coordinated Erasmus+ student exchanges and promotes gender equality within her faculty. Research Highlights : Interdisciplinary projects with anthropology, law, and medicine departments Focus on data-driven journalism, disinformation, and media ethics Initiated partnerships with academia, cultural institutions, and media outlets Grants and Projects : Secured €260,000 for the Multimedia and Authorship program (2013–2017) Project collaborations with organizations like Umgeodat GmbH and the Federal Cultural Foundation Developed innovative media projects such as Urban Climate Halle and Diagnose: Unsichtbar Awards : Recipient of the DJV Young Journalists Award (2016) 1st Place in VDMA Hackdays Ideas Competition (2017) Teaching and Outreach : She has taught at HTWK Leipzig, FAM, and Merseburg University of Applied Sciences. Her courses integrate practical media projects, such as the Digital Talks series and workshops on algorithmic governance. She also coordinates student exchanges through Erasmus+.

Niloufer Selvaduraiمشاهده پروفایل

استاد

• Artificial Intelligence Regulation
• Digital Finance Law
• Intellectual Property Law
• +۳ مورد دیگر

Niloufer Selvadurai is Professor and Director of Research & Innovation at Macquarie Law School, where she also co-directs the Data Horizons Research Centre and co-chairs the Australian Law Associate Deans Research Network. A technology law scholar focusing on AI regulation, she examines how laws can calibrate technological innovation benefits and risks. Her interdisciplinary research collaborates with computing, engineering, finance, and health fields. Key leadership roles and recognitions include: Co-Director, Data Horizons Research Centre Program Leader for 'AI and Law' at Centre for Applied AI 2022 Australian Legal Education Award for Excellence in Graduate Research Supervision 2023 Higher Degree Research Supervisor of the Year Her publications extensively cover AI governance, digital finance, copyright, and smart contracts law, with recent work examining AI inventorship and regulatory frameworks for central bank digital currencies.

Joel E. Cohenمشاهده پروفایل

استاد

• Mathematical Biology
• Population Dynamics
• Demography
• +۷ مورد دیگر

Joel E. Cohen is the Abby Rockefeller Mauzé Professor at The Rockefeller University, where he leads the Laboratory of Populations. With over five decades of research experience, Cohen has pioneered innovative mathematical approaches to study biological populations and variability. His work bridges mathematics, biology, and environmental science, fundamentally changing how scientists understand population dynamics and the significance of biological variability. Dr. Cohen's research focuses on developing new mathematical tools to address population problems in demography, epidemiology, and ecology. He has made seminal contributions to the understanding of heavy-tailed distributions that describe extreme events like hurricanes and disease outbreaks, challenging traditional statistical approaches. His laboratory has conducted groundbreaking research on the spatial distribution of human populations in relation to geophysical factors, with unexpected practical applications ranging from soap formulation to semiconductor manufacturing. Cohen has also developed mathematical models for Chagas disease control in rural Argentina and created algorithms to predict international migration patterns. Analysis of Cohen's recent publications reveals a sustained focus on Taylor's law of fluctuation scaling, population dynamics, and ecological statistics. His work consistently demonstrates how abstract mathematical concepts can transform our understanding of biological systems, from cellular processes to global population trends. The research spans theoretical mathematics to practical applications in disease control, conservation biology, and environmental management. Olivia Schieffelin Nordberg Prize for excellence in writing in the population sciences (March 1997) Gheorghe Lazar Prize of Romanian Academy (December 2000) As director of the Laboratory of Populations, Cohen has led research on human population growth, infectious diseases, food webs, and international migration. His methods for assessing the uncertainty of population projections have been applied in court cases for predicting future claimants of asbestos-related diseases. Cohen's laboratory has collaborated with the United Nations Population Division on migration studies and developed mathematical models that account for more than half of the variability in annual migration numbers among 229 countries. Current research directions include understanding how demographic, economic, and cultural changes interact with Earth's physical, chemical, and biological environments. The Laboratory of Populations employs a multidisciplinary approach that combines mathematical modeling, statistical analysis, and field studies to address complex population issues. Their work exemplifies how basic quantitative research on populations frequently yields unexpected practical applications, demonstrating the profound connections between theoretical mathematics and real-world challenges in public health, environmental science, and resource management.

• Music Composition
• Electronic Music
• Laptop Orchestras
• +۷ مورد دیگر

Bruno Tucunduva Ruviaro is an Associate Professor in the Department of Music within the College of Arts and Sciences at Santa Clara University, where he has taught since Fall 2012. Originally from Brazil, Ruviaro is a composer and performer with a specialization in electronic music. Prior to joining Santa Clara, he studied and worked at the Center for Computer Research in Music and Acoustics (CCRMA) at Stanford University. Ruviaro's primary research focus is Music Composition with a strong emphasis on Electronic Music. His specific interests include electronic music composition, laptop orchestras, live-electronics, acousmatic music, and sampling & musical borrowing. He also explores secondary interests spanning theater, dance, linguistics, speech, radio art, Linux, intellectual (im)property issues, and the intersection of music & politics. His work demonstrates a consistent exploration of how technology transforms musical creation and performance. Ruviaro's scholarly output reveals a strong trajectory in electronic and computer music composition, with particular attention to laptop orchestras and musical borrowing practices. His recent works like Pós-Tudos and Mozart and the Elections demonstrate his continued innovation in contemporary composition, while publications such as From Schaeffer to* lorks and Intellectual Improperty reveal his theoretical engagement with the evolving nature of musical instruments and copyright in digital contexts. His compositions frequently incorporate technology in innovative performance setups, as seen in works utilizing smartphones and unconventional sound production methods. Ruviaro is the director of SCLOrk (Santa Clara Laptop Orchestra), continuing a tradition from his time at Stanford where he was part of SLOrk (Stanford Laptop Orchestra). He teaches courses including Intro to Electronic Music (MUSC 9), SCLOrk - Santa Clara Laptop Orchestra (MUSC 157), Music Theory III (MUSC 3), Experimental Sound Design (MUSC 115), Form and Analysis (MUSC 113), and Beginning Composition (MUSC 37), along with private composition lessons. His educational contributions include A Gentle Introduction to SuperCollider , making complex music programming more accessible to students.

• Cyber Physical Systems
• Risk/Reliability Analysis
• Deep Learning
• +۳ مورد دیگر

Dr. Saptarshi Sengupta is an Assistant Professor in the Department of Computer Science at San José State University (SJSU), leading the Machine Intelligence and Complex Systems (MICoSys) Lab. He advises the ACM student club at SJSU and holds a 'Alien of Extraordinary Ability' visa (Einstein Visa) from USCIS. His work focuses on resilient cyber-physical systems, risk analysis, and deep learning applications in healthcare and industrial systems. Education: Ph.D. in Electrical Engineering, Vanderbilt University M.S. in Electrical Engineering, Vanderbilt University B.Tech. in Electronics & Communication Engineering, West Bengal University of Technology Research Interests: Cyber-Physical Systems Security Healthcare AI for Cancer and Chronic Disease Prediction Battery Prognostics and Energy Systems Machine Learning for Complex Systems Analysis Key Achievements: Dr. T.M.A. Pai Gold Medal Award for Healthcare AI contributions Recipient of multiple best paper awards at international conferences Author of over 30 peer-reviewed publications Labs & Teams: Leads the MICoSys Lab, developing AI solutions for healthcare diagnostics, industrial prognostics, and smart infrastructure systems. Collaborations include interdisciplinary projects with biomedical and engineering domains.

Nicholas Kevlahanمشاهده پروفایل

استاد

• Applied Mathematics
• Computational Fluid Dynamics
• Geophysical Fluid Dynamics
• +۵ مورد دیگر

Dr. Nicholas Kevlahan is a Professor in the Department of Mathematics and Statistics at McMaster University. He holds a BSc in Physics from the University of British Columbia (1985–1989), a PhD in Applied Mathematics from the University of Cambridge (1990–1994), and completed a Marie Curie postdoctoral fellowship at École Normale Supérieure in Paris (1998). He has held visiting positions at institutions including Université Grenoble-Alpes, INRIA, and the University of Cambridge. His research focuses on advanced computational and mathematical methods for fluid dynamics, including the development of the WAVETRISK code for adaptive climate modelling, data assimilation techniques, fluid-structure interaction, and compressive sampling. His work integrates interdisciplinary approaches across applied mathematics, geophysics, and engineering. Key research areas include geophysical fluid dynamics, numerical analysis, partial differential equations, and wavelet-based methods. He has published extensively on topics such as ocean circulation models, turbulence simulation, and adaptive numerical methods. Dr. Kevlahan teaches courses in numerical methods, differential equations, asymptotic analysis, and mathematical physics. He mentors a diverse group of PhD, MSc, and BSc students in his active research laboratory.

Michelle Torresمشاهده پروفایل

استادیار

• Political Methodology
• Political Behavior
• Computer Vision
• +۵ مورد دیگر

Margaret Michelle Torres is an Assistant Professor in the Department of Political Science at the University of California, Los Angeles (UCLA). Her research focuses on political methodology, computer vision, causal inference, and survey methodology, with substantive interests in political media communication, participation, and attitude formation. She holds a Ph.D. in Political Science and an A.M. in Statistics from Washington University in St. Louis, alongside a B.A. in Political Science and International Relations from CIDE (Mexico City). Her work bridges computational methods and social science inquiry, emphasizing innovative tools for analyzing visual and textual data. Recent projects explore how ideology influences perceptions of political groups, the role of visual frames in protests, and methodological issues in causal inference. Torres has authored influential papers on topics ranging from election dynamics to the application of machine learning in political analysis. Notable contributions include frameworks for unsupervised visual analysis and critiques of posttreatment variable pitfalls in experiments. Her research frequently intersects with questions of media representation, public opinion, and institutional trust. Torres advises students in quantitative methods and political behavior, though specific advisee names are not listed here.

Sara Grimesمشاهده پروفایل

استاد

• Children's Digital Media
• Game Studies
• Digital Rights
• +۳ مورد دیگر

Dr. Sara M. Grimes is Wolfe Chair in Scientific and Technological Literacy and Full Professor at McGill University's Department of Art History and Communication Studies. Her research examines children's digital media cultures, rights in digital environments, and game design ethics, with emphasis on commercialization of play, privacy protections, and responsible AI. Publications consistently address regulatory gaps in children's digital spaces, privacy politics, and participatory design. Recent work demonstrates strong focus on age-appropriate design frameworks and cross-cultural policy comparisons. Grimes founded the Kids Play Tech Lab, focusing on rights-based children's technologies. Current projects include SSHRC-funded Child Appropriate Game Design initiative analyzing age norms in Canada/UK/US game industries, and Privacy Commissioner-funded Jeu Dangereux examining data practices in children's apps. Community partnerships include A-Game Studios' rights-by-design climate science game. Award-winning book: Digital Playgrounds