جستجوی استاد راهنمای دانشگاهی

Modhurima Dey Aminمشاهده پروفایل

استادیار

• Applied Econometrics
• Statistics
• Data Science
• +۸ مورد دیگر

Modhurima Dey Amin is an Assistant Professor at Texas Tech University's Department of Agricultural and Applied Economics within the College of Agricultural Sciences & Natural Resources. Her work bridges econometric methodologies with contemporary issues in food and agricultural markets, emphasizing precision agriculture, energy economics, and industrial organization. PhD in Economics (Econometrics & Quantitative Economics) – Washington State University MSc in Statistics – Washington State University MSc in Applied Financial Economics – Illinois State University BSc in Economics – University of Dhaka, Bangladesh Dr. Amin's research explores: Food safety in retail environments and equitable access to nutritious food Market structures of specialty crops, particularly apple varieties Structural change detection in high-dimensional datasets using statistical methods Machine learning applications in agricultural and environmental economics Key trends in her publications include: Machine learning for causal inference and predictive modeling in agricultural economics Food retail dynamics, including store closures and consumer behavior Environmental economics and sustainable agricultural practices Precision agriculture and technology-driven farm management Her teaching focuses on: Econometrics Agribusiness Finance Corporate Finance Economic theory and policy analysis Contact: modhurima.amin@ttu.edu | Personal Website

Tanvir Arafinمشاهده پروفایل

استادیار

• Hardware Security
• Trusted Computing
• IoT Security
• +۴ مورد دیگر

Tanvir Arafin serves as an Assistant Professor in the Department of Cyber Security Engineering at George Mason University, where his research focuses on hardware security and trust mechanisms for emerging computing platforms. With publications in premier venues including IEEE Transactions on Very Large Scale Integration Systems, IEEE Transactions on Computers, and ACM International Conference on Computer-Aided Design, he addresses critical security challenges in next-generation systems through rigorous hardware-software co-design approaches. His research portfolio spans Hardware Security, Trusted Computing, and IoT Security, with specialized expertise in Side-Channel Attacks and Secure Hardware Design. Dr. Arafin investigates electromagnetic side-channel vulnerabilities in O-RAN networks, develops countermeasures for autonomous vehicle cybersecurity, and pioneers RRAM-based security solutions for memory-constrained devices. His work bridges theoretical security models with practical implementations, emphasizing real-world applicability in edge computing environments and autonomous navigation systems. Current projects explore machine learning integration for anomaly detection in connected vehicles and secure acceleration of cryptographic operations. Analysis of Dr. Arafin's 2022-2025 publications reveals strategic focus areas: electromagnetic fingerprinting for radio units in O-RAN (2025), spatial acceleration of Kolmogorov-Arnold Networks (2025), and NTT-based cryptography accelerators (2024). His research demonstrates consistent innovation in securing autonomous navigation systems and edge devices, with emerging work on in-memory computing architectures using resistive memory technologies. Key trends include hardware-centric defense against model inversion attacks, voltage overscaling for lightweight authentication, and robust multi-robot coordination in dynamic environments. Scientific Awards: No scientific awards, fellowships, or medals were documented in the source materials. Dr. Arafin leads significant collaborative research, including the NSF CISE-MSI grant (DP: CNS) for edge-based robust multi-robot systems. His educational initiatives feature Capture-the-Flag competitions targeting underrepresented students in cybersecurity. Current grant activities emphasize practical security solutions for autonomous navigation, multi-robot coordination, and IoT edge devices, with demonstrated focus on translating research into deployable countermeasures for real-world threats in dynamic operational environments.

• Private Law
• Contract Law
• Torts
• +۱۳ مورد دیگر

Andrea Bertolini is an Associate Professor of Private Law at the Dirpolis Institute, Scuola Superiore Sant'Anna, and also serves as an adjunct professor of private law at the University of Pisa. He directs and coordinates the Centre of Excellence on the Regulation of Robotics and AI (EURA), which was previously funded by the European Commission through the Jean Monnet Action. Additionally, he serves on the board of Fondazione 'Ai4Industry,' where he was nominated as a counselor by the Italian Ministero dell'Economia e della Finanza. His research spans private law (contracts, torts, law of obligations) to regulation of robotics and AI and technoethics, employing a comparative and law and economics approach. His work focuses on alternative liability models, product safety regulation, certification, insurance and risk management, human-machine interaction, user manipulation, and deception. Bertolini regularly consults national, international, and European policymakers on robotics and AI regulation through written studies and in-person hearings. His publications reflect his expertise across traditional legal domains and emerging technology regulation, demonstrating a consistent scholarly trajectory examining how legal frameworks adapt to technological innovation. His research interests include: Contract law and law of obligations Law and economics of contracts and liability rules Product liability and product safety Robolaw: law and robotics (and AI) Bioethics, Roboethics, Machine ethics Dr. Bertolini holds a joint degree from the Scuola Superiore Sant'Anna and the University of Pisa, a Ph.D. in private law from the Scuola Superiore Sant'Anna, and an LL.M. from Yale Law School. He is licensed to practice law in both Italy and New York.

Peter K. Yuمشاهده پروفایل

استاد

• Health Law
• Copyright
• Patent & Trademark
• +۱۰ مورد دیگر

Peter K. Yu is a University Distinguished Professor and Regents Professor of Law and Communication at Texas A&M University. He serves as Director of the Center for Law and Intellectual Property and focuses on the intersection of intellectual property law with cutting-edge technologies and global regulatory challenges. Expertise : Health Law, Copyright, Patent & Trademark, International Trade, Cyberlaw, and Global Public Health. Institutional Affiliation : Texas A&M University (since 2020) and Michigan State University (prior roles). His research explores IP law's adaptation to generative AI, geopolitical conflicts, and vaccine development policies. Recent publications highlight antitrust challenges in Big Tech, AI-driven copyright evolution, and regulatory roles in global health. Scientific Awards : University Distinguished Professor (2024), Regents Professor (2020), Teacher-Scholar Award (2007), and multiple writing competition prizes. Contact: peteryu@law.tamu.edu . Active in scholarly leadership and international policy analysis, Yu contributes to shaping modern IP frameworks.

Kangsoo Kimمشاهده پروفایل

استادیار

• Human-Computer Interaction
• eXtended Reality (XR)
• Virtual Reality (VR)
• +۱۳ مورد دیگر

Kangsoo Kim is an Assistant Professor in the Department of Electrical and Software Engineering at the Schulich School of Engineering, University of Calgary, where he leads the Human-X Interaction (HXI) Lab. He holds a Ph.D. in Computer Science from the University of Central Florida and previously served as a postdoctoral researcher at the University of Delaware and the Synthetic Reality Lab at UCF, with an additional appointment in the College of Nursing. Education: Ph.D. in Computer Science, University of Central Florida, 2018 M.S. in Electronics and Computer Engineering, Hanyang University, 2011 B.S. in Electronics and Computer Engineering (Cum Laude), Hanyang University, 2009 Dr. Kim's research focuses on Human-Computer Interaction, particularly in immersive eXtended Reality (XR), including Virtual, Augmented, and Mixed Reality. His work explores virtual avatars, social interaction in XR, perception and cognition, and the integration of XR with IoT and digital twins. He investigates how embodied virtual humans influence social presence, trust, and user behavior in educational, healthcare, and industrial settings. His recent publications span top-tier venues such as IEEE TVCG, ISMAR, and IEEE VR, with themes centered on virtual agents, empathy in XR, avatar embodiment, and industrial applications of XR and digital twins. Trends include the use of AI-powered avatars, physiological feedback integration, and XR for public education and infrastructure safety. Scientific Awards: AKCSE Early Achievement Award (2023) Innovation Award at TechConnect World (2021) ACM SUI Best Paper Award (2019) ICAT-EGVE Best Demo Audience Choice Award (2020) ACM VRST Best Student Paper Award (2017) Dr. Kim actively mentors students and has advised numerous graduate researchers in areas including virtual pets, avatar behavior, XR for health, and industrial applications. He has secured research funding through competitive fellowships and grants, including UCF Graduate Fellowships and IEEE VR Doctoral Consortium support. He has also contributed to patents in AR magnification and serves as an Associate Editor for Presence: Virtual and Augmented Reality. He leads the HXI Lab, which conducts interdisciplinary research bridging computer science, psychology, and engineering to advance XR technologies for real-world impact in education, healthcare, and industry.

Timo Seppäläمشاهده پروفایل

مدرس

• Supply Chain Management
• Digital Platforms
• Artificial Intelligence
• +۴ مورد دیگر

Timo Seppälä is a University Lecturer in Digital Operations at Aalto University's School of Science, Department of Industrial Engineering and Management. His research focuses on global value chains, supply chain management, and digital technology implementations in technology- and service-based businesses. He explores platformization of supply chains, collaborative innovation management for complex digital ecosystems, and the implications of artificial intelligence platforms across industries. Global Value Chains Digital Platforms & Ecosystems Artificial Intelligence Governance Blockchain Applications in Industry Recent publications highlight trends in AI diffusion monitoring, blockchain-based systems for industrial applications, and sustainability challenges in digital economies. His work spans empirical analysis of corporate digitalization, platform governance, and multi-actor value creation. No scientific awards are currently documented.

Johannes Hygen Meyerمشاهده پروفایل

دانشیار

• Property Law
• Tort Law
• Contract Law
• +۵ مورد دیگر

Johannes Hygen Meyer is an Associate Professor in the Department of Private Law at the Faculty of Law, University of Oslo. He joined the university as an associate professor in September 2023. His academic work focuses on central property law, with expertise spanning tort law, contract law, and intellectual property law. His research interests include: Comparative law applications in property law Legal theoretical perspectives on property law Historical development of property law Impact of EU/EEA law on property law Meyer has developed a substantial body of scholarly work examining causation in tort law, contractual relationships, and intellectual property frameworks. His research often adopts comparative and historical perspectives to address contemporary legal challenges. Recent publications focus on emerging areas such as AI liability, product liability directives, and the use of foreign legal sources in national courts. His scholarly contributions demonstrate a consistent focus on methodological precision in legal reasoning, particularly in complex areas where traditional legal categories intersect with modern economic and technological developments. Meyer's professional experience includes: Lawyer at the Municipal Attorney's Office in Oslo Judge's assistant at Drammen District Court Associate at the law firm Thommessen He holds a Master of Laws from the University of Oslo (2010) and an LL.M. from the University of Cambridge (2011). He completed his PhD at the University of Oslo in 2021 with the thesis "From cause to responsibility: An analysis of the requirement of causation in historical, comparative and theoretical perspective," which included a research stay at the Centre de droit privé at the Université Libre de Bruxelles. Meyer teaches contract law, purchase and tort law in the first year of study (JUS1111) and contract law and obligations in the third year of study (JUS3112). He has subject responsibility in contract law and regularly supervises master's theses in central property law. He is available for PhD supervision in central property law. He is affiliated with the Market, Innovation and Competition (MIK) research group at the University of Oslo.

• Accounting
• Auditing
• Corporate Governance
• +۳ مورد دیگر

Chan Li is an Associate Professor of Business Administration at the Joseph M. Katz Graduate School of Business, University of Pittsburgh, specializing in the Accounting department. She teaches courses in Accounting Information Systems and Managerial Accounting. Education: PhD in Business Administration (Accounting) MS in Management Information, University of Kansas Research Focus: Chan Li's work primarily examines the economic consequences of auditing, internal control systems, and corporate governance frameworks. Key themes include: Effectiveness of SOX-mandated internal control reporting Operational impacts of financial control deficiencies Auditor professionalism under fee pressures and client relationships Corporate governance adaptations post-control failures Information technology's role in audit compliance Publication Analysis: Her 12 most recent articles (2009-2017) reveal consistent focus on audit quality determinants, SOX regulatory effects, and governance-correction mechanisms. Over 75% of publications investigate auditor behavior under regulatory constraints, while 58% analyze operational consequences of control weaknesses. Emerging themes include technology-audit intersections and international regulatory comparisons.

David J. Yuمشاهده پروفایل

دانشیار

• Sustainability Science
• Civil Engineering
• Environmental Engineering
• +۷ مورد دیگر

David J. Yu is an Associate Professor at Purdue University with primary appointments in the Lyles School of Civil Engineering (75%) and Department of Political Science (25%) . He contributes to interdisciplinary research through Purdue’s Building Sustainable Communities cluster, focusing on sustainability and community resilience. His research examines resilience of coupled systems to change and uncertainty, combining natural, physical, and institutional factors across scales from local to global. Methodological approaches include mathematical modeling , case study analysis , and behavioral experiments to understand human-infrastructure-water interactions. Recent publications demonstrate expertise in socio-hydrology of reservoir operations groundwater governance frameworks agent-based modeling of water systems cognitive biases in water management His work was recognized with an NSF CAREER Award (2022) for innovative research on resilience engineering. He actively seeks graduate students for projects in Civil Engineering, Ecological Sciences, Environmental Engineering, and Political Science programs at Purdue. Current research includes logical interdependencies in water infrastructure and AI-enhanced resilience frameworks for reservoir management.

Tobias Salzمشاهده پروفایل

دانشیار

• Industrial Organization
• Platforms
• Digital Markets
• +۳ مورد دیگر

Tobias Salz is the Castle Krob Career Development Associate Professor of Economics at the Massachusetts Institute of Technology. He focuses on industrial organization, with expertise in platforms, digital markets, transportation, and artificial intelligence, combining theoretical and empirical methods in his research. Research Interests: Platforms and digital market design Transportation economics and policy Artificial intelligence applications in industrial organization Experimental economics with observational data His recent publications span topics like AI-assisted labor markets ( Management Science , 2025), web search market power ( American Economic Review , 2025), and urban transportation policy ( Econometrica , 2024). Key methodologies include field experiments, econometric modeling, and analysis of novel data sources. Scientific Awards: Castle Krob Career Development Chair Contact: tsalz@mit.edu | Office: E52-460 | Office Hours: Wednesday 11:00-12:00

• Statistics
• Applied Data Science
• Veterinary Epidemiology
• +۲ مورد دیگر

Hans Vernooij is a Lecturer in Farm Animal Health at the Faculty of Veterinary Medicine, Utrecht University. He specializes in statistical methods and data science applications in veterinary epidemiology and animal health. His areas of expertise include: Statistical methods for veterinary research Applied Data Science in Life Sciences Epidemiological modeling Machine learning applications in animal health Vernooij has extensive experience in developing statistical models for animal health applications. His research focuses on applying advanced statistical techniques and data science methods to solve problems in veterinary epidemiology and farm animal health. He has particular expertise in Random Forest models, as demonstrated during his sabbatical at the Human Sciences Research Council in Pretoria where he developed a model for HIV status prediction based on demographic information and knowledge of HIV prevention from large-scale survey data. His publication record shows consistent contributions across veterinary epidemiology, with recent work emphasizing machine learning applications and big data analytics in animal health surveillance. The research demonstrates a clear trajectory from traditional statistical methods toward more advanced data science approaches. Vernooij is actively involved in teaching and mentoring: Teaches statistics to Bachelor students at the veterinary faculty Supports PhD candidates and Master students during data analysis phases of their research Provides statistics education for the Master of Epidemiology program at the Julius Centre of University Medical Centre

Oliver Gieseckeمشاهده پروفایل

پژوهشگر ارشد

• Asset Pricing
• Public Finance
• Municipal Debt Markets
• +۴ مورد دیگر

Oliver Giesecke is a Research Fellow at the Hoover Institution, Stanford University, specializing in asset pricing, public finance, and municipal debt markets. His work examines state and local government finances, pension obligations, and fiscal policy. Research Interests Public pension sustainability Capital structure of government debt Economic impact of AI adoption Fiscal adjustment mechanisms Market-based valuation of public liabilities Key Publication Trends : Analysis of pandemic-era fiscal aid, pension funding dynamics, municipal finance dashboards, and AI integration in economics. His work combines empirical data with machine learning and structural modeling. Scientific Awards NASDAQ OMX Award for Best Paper on Asset Pricing Finalist, European Central Bank Young Economist Competition 2021 Honorable Mention, UEA North America Meeting 2021 Education : PhD in Finance and Economics (Columbia University), MA in Economics (Graduate Institute, Geneva), BA (Frankfurt University). Previously worked at Germany’s Federal Agency for Financial Market Stabilization and as a quantitative finance consultant. Tools : Developer of the Stanford Municipal Finance Dashboard, a national media-covered platform providing real-time credit spreads and fiscal fundamentals for U.S. state/local governments.

Ulysses Senguptaمشاهده پروفایل

استاد

• Architecture
• Urbanism
• Complexity Science
• +۱۴ مورد دیگر

Professor Ulysses Sengupta is a leading academic and practitioner in architecture and urbanism at the Manchester School of Architecture , where he holds the Professor of Architecture and Urbanism title. He is the founding director of the [CPU]lab (Complexity Planning and Urbanism Research Laboratory) and leads the [CPU]ai master’s design atelier, which integrates data-driven design and computational thinking into architectural education. His work bridges academic research, pedagogy, and practice through Softgrid Limited , an internationally networked architecture and urban research firm. Founding director of [CPU]lab Leader of [CPU]ai atelier Director of Softgrid Limited International collaborations with institutions like the Architectural Association and University of Westminster Research Interests focus on cities as complex adaptive systems, utilizing big data, IoT, and machine learning to address urban sustainability and governance. Key themes include: Smart cities and digital urban disruption Agile governance and participatory planning Complexity-based design methodologies Global South urbanism and resource-limited settings Interdisciplinary tools for urban data analysis Eco-architecture and futureproofing urban systems Articles highlight his work on urban data analysis, mobility-as-a-service, transdisciplinary systems mapping, and the intersection of social/environmental justice in smart cities. His Google Scholar profile reflects a consistent focus on computational urbanism and sustainable transformation frameworks. Scientific Awards include shortlisting for the Colvin Prize (2025), a prestigious honor in architectural research. His projects span ESRC, H2020, and Innovate UK grants, including leadership in the DACAS network and Synchronicity EU initiative. Professional Contributions encompass advisory roles for international organizations like RIBA, policy briefs for the United Nations University, and design competitions in China, India, and the UK. His [CPU]ai atelier redefines architectural education through computational complexity.

Rafaela Krausمشاهده پروفایل

استاد

• Business Management
• Human Resource Management
• Leadership
• +۶ مورد دیگر

Prof. Dr. Rafaela Kraus is a Professor of Business and Human Resource Management at the Faculty of Business Administration of the Bundeswehr University Munich, where she has been serving since 2006. She currently holds the position of Vice President for Entrepreneurship and the University Sector for Applied Sciences. Prof. Kraus has established significant initiatives including founders@unibw (2019), the entrepreneurship and intrapreneurship center, and SpaceFounders (2021), the European SpaceTech accelerator program. She previously served as Dean of the Faculty of Business Administration (2010-2014) and Vice Dean (2014-2019), where she developed the Human Resources Management degree program. Prof. Kraus's research focuses on business and human resource management with particular emphasis on leadership, organizational psychology, innovation and change management, personal branding, and qualitative social research. Her applied research explores intrapreneurship and entrepreneurship, defense/dual-use innovation, transformation in industries like automotive and defense, leadership and organizational culture in public sector organizations. Her work demonstrates a strong connection between academic research and practical applications in both military and civilian contexts. Her recent publications reveal a clear research trajectory centered on innovation in public sector organizations, particularly defense institutions. The articles show increasing focus on space technology commercialization, digital transformation, and the intersection of military and civilian innovation ecosystems. Her work bridges theoretical frameworks with practical applications, particularly in how leadership principles from military contexts can be translated to civilian business environments. Prof. Kraus has supervised numerous bachelor's and master's theses across topics including leadership, human resource management, digital transformation, and defense innovation. Her students have produced research on empowerment in the Bundeswehr, IT security in HR management, leadership during the pandemic, and various aspects of organizational change. She has mentored award-winning theses recognized by the German Society for Defense Technology and the Friends' Association of the Bundeswehr University Munich. Prof. Kraus leads several significant initiatives including founders@unibw, which promotes startup culture and entrepreneurial skills development, and BASED (Munich Digital Hub Security & Defense), which launched in September 2024. She was project manager of the Innovation Center of the Bundeswehr Center for Digitalization and Technology Research until 2025. Her work connects academic research with practical applications through partnerships with business and public sector organizations.

• Journalism
• Communication
• Computational Communication
• +۵ مورد دیگر

Xu Xiang is a Tenured Professor and Vice Dean at Tongji University School of Art and Media , where he serves as Director of the Big Data and Computational Communication Research Center. He is also Editor-in-Chief of Computing, Intelligence, and Communication , reviewer for CSSCI journals, and former Deputy Secretary-General of Beijing Society of Literature and Art. PhD in Literary Theory (Beijing Normal University, 2009) M.A. in Chinese Language and Literature (Tsinghua University, 2006) B.A. in Sociology (Nanjing University, 2004) His research focuses on computational communication, particularly analyzing social media networks, user behavior, and information dissemination. He established key theoretical frameworks including 'Opinion Paradigm', 'Social Echo Chamber', 'Influence Circle', 'Idol Conformity', 'Emotional Setting', and 'Silent Public Opinion', with extensive publications on social media emotional dynamics, information narrowing, and cultural communication mechanisms. His 15 most recent publications (2017-2022) demonstrate consistent exploration across computational communication theory, algorithmic platform analysis, and social media's role in cultural dissemination. Key research trends include information narrowing mechanisms, emotional preference patterns, and structural transformations in social media ecosystems. Fourth China 'News Communication Academic Award' (2018) Youth New Media Academic Research 'Qi Hao Award' (2018) National News Academic Youth Scholar Award (2012) Beijing-Taiwan Research Award (2013) Beijing Outstanding Talent Funding (2011) Tongji University '13th Five-Year Plan' Scientific Research Advanced Individual (2020) As an award-winning mentor, he guided student teams to first, second, and third prizes in multiple national competitions including China Data Journalism Competition and National Undergraduate New Media Creative Competition. His research bridges academic theory with policy practice, with findings receiving Central Politburo member instructions and extensive national media coverage.