جست‌وجوی استاد و پژوهشگر

Salman Mohagheghiمشاهده پروفایل

دانشیار

• Power System Operation and Management
• Power Grid Resilience
• Renewable Energies
• +۳ مورد دیگر

Salman Mohagheghi serves as Associate Professor in the Electrical Engineering Department at Colorado School of Mines, holding a PhD from Georgia Institute of Technology (2006). Previously, he developed advanced distribution automation systems as Senior R&D Engineer at ABB Corporate Research Center. His educational credentials include: BS in Power Electrical Engineering, University of Tehran (1999) MS in Power Electrical Engineering, Sharif University of Technology (2001) PhD in Electrical Engineering, Georgia Institute of Technology (2006) Dr. Mohagheghi's research centers on mathematical modeling for power grid optimization and resilience enhancement at the intersection of energy systems, environmental sustainability, and social equity. His work spans power system operation, renewable integration, energy justice frameworks, and machine learning applications, with particular emphasis on community vulnerability during grid disruptions and climate adaptation strategies. Analysis of his 2013-2023 publications reveals evolving research trajectories: early work focused on technical grid challenges (voltage control, power flow), while recent studies increasingly incorporate social dimensions (energy justice, public health emergencies) alongside renewable integration challenges. This demonstrates a strategic shift toward holistic grid resilience addressing both engineering and societal dimensions. He actively teaches eight courses including Power System Operation and Management (EENG 581), Modern Control Design (EENG 417), and specialized topics in power quality and risk management, mentoring students through his research group focused on grid optimization and resilience modeling.

• Intellectual Property Law
• EU Competition Law
• Technology Law
• +۳ مورد دیگر

Pawan Kumar Dutt is a Senior Lecturer at Tallinn University of Technology (TalTech) in the Law Institute under the Faculty of Business and Governance. He holds a PhD in Intellectual Property Law from the Estonian Business School and has been a faculty member since 2011, advancing from Lecturer to Senior Lecturer. His research focuses on intellectual property, EU competition law, and innovation policies, with notable contributions to IP commercialization and digital governance frameworks. Education: PhD in Intellectual Property Law (2024, Estonian Business School) MA in Law (2010, Tallinn Law School) LL.B. (1998, Government Law College, Mumbai) B.Sc. Chemistry (1995, St. Xavier's College, Mumbai) Research interests: Dr. Dutt specializes in intellectual property law, particularly its intersection with EU competition law and technology innovation. He examines public support systems for SMEs, digital copyright issues, and cross-border IP frameworks. His recent work addresses emerging challenges in AI-generated content, gene patenting, and e-governance in the EU. Publications: His 2024 book on Vietnamese IP law in EU/ASEAN context and 2021 article on EU RD policies highlight his expertise. He frequently contributes to journals like the Baltic Journal of European Studies and Springer publications. Awards: Recognized as TalTech's Lecturer of the Year (2023, 2020, 2013) for teaching excellence in IP and technology law courses. Grants/Projects: Leads EU-funded projects like the MIPDaL Master's program in IP and Data Law, and coordinates the European Patent Office's MIPEF framework. Active in international initiatives like the Network of IP Academies (NIPA) and the ReCreating Europe report on digital content moderation. Labs/Teams: Involved in the TalTech Law Institute's IP research groups and collaborates with EU institutions like EUIPO and the European Patent Office.

Xinghua Mindy Shiمشاهده پروفایل

دانشیار

• Machine Learning
• Data Privacy
• Bioinformatics
• +۴ مورد دیگر

Dr. Xinghua Mindy Shi is an Associate Professor in the Department of Computer & Information Sciences at Temple University's College of Science and Technology, where she has served since 2019. Previously, she held positions as an Assistant Professor at the University of North Carolina at Charlotte (2013-2019) and completed postdoctoral training at Harvard Medical School's Brigham and Women's Hospital (2009-2012) and the Broad Institute of MIT and Harvard (2009-2012). Her research focuses on developing statistical and machine learning methods for biomedical applications, spanning: Privacy-preserving machine learning for genomic data Deep learning architectures for genotype imputation Computational analysis of 3D genome organization Structural variation detection in diverse human populations Generative adversarial networks for biomedical data augmentation Her publication record demonstrates consistent contributions to genomics and machine learning, with recent works emphasizing: Advanced deep learning models (Transformers, GANs) for genomic tasks Privacy protection in biomedical data analysis Large-scale structural variation studies through international consortia Innovative methods for haplotype-resolved genome assembly Awards & Honors: NIH T32 Genetics Fellowship (2009-2012) She directs an active research group with current members including 4 PhD students and 1 master's candidate. Her lab has trained 4 postdoctoral researchers, 5 PhD graduates, and over 20 master's/undergraduate students who now hold positions in academia and industry. The group collaborates with Temple University's Institute for Genomics and Evolutionary Medicine (iGEM), Center for Data Analytics and Biomedical Informatics, and external institutions including Penn Medicine and Jackson Laboratory.

Wenqi Zhouمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Healthcare Information Systems
• Tech Ethics
• +۳ مورد دیگر

Dr. Wenqi Zhou is an Associate Professor of Information Systems and Technology at Duquesne University's Palumbo-Donahue School of Business. She holds affiliations with the Albert P. Viragh Institute for Ethics in Business, the Grefenstette Center, and CMU's CASOS and IDeaS. Her research focuses on AI, online user-generated content, healthcare IS, information transparency, and tech ethics, employing econometrics and computational methods. She teaches undergraduate courses in information systems and business intelligence, as well as graduate behavioral analytics. Dr. Zhou earned a Ph.D. in Information and Technology Management from George Washington University. She has secured grants such as the Paluse Faculty Research Grant (2022-2023) and the David Warco Faculty Fellowship (2021-2024). Notable awards include the Michael J. Shaw Best Reviewer Award (2021), Dean's Excellence in Research (2022, 2024), and multiple Best Paper recognitions. Her work explores topics like AI misinformation, healthcare policy impacts, and consumer behavior in digital markets. Recent publications address privacy protection in innovation communities and cognitive biases in pandemic misinformation. She serves as Associate Editor for Information & Management and Academic Editor for PLoS ONE . Dr. Zhou founded Duquesne's IST Mentorship Program, connecting students with regional industry leaders. Her research grants and awards reflect sustained excellence in both scholarship and pedagogy.

Mostafizur Rahmanمشاهده پروفایل

استادیار

• Cybersecurity
• Networking
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Mostafizur Rahman is an Assistant Professor of Computer Science at the University of West Georgia, affiliated with the School of Computing, Analytics, and Modeling within the Dr. Perry College of Mathematics, Computing, and Sciences. He holds a B.S. in Computer Science & Engineering from Bangladesh University of Engineering & Technology (2012), and an M.S. and Ph.D. in Computer Engineering from the University of Central Florida (2018 and 2020, respectively). His research focuses on cybersecurity, telecommunications, and networking, with particular emphasis on spectrum management, AI-driven cybersecurity solutions, and collaborative network architectures. Recent work includes studies on spectrum-sharing markets, UAV delivery networks, and decentralized decision-making frameworks. Rahman teaches courses such as Cybersecurity, Computer Forensics, Systems Programming, and Generative AI Networks & Security. He has consistently taught courses in computer security, networking, and internship programs since 2021, reflecting his expertise in both theoretical and applied computing domains. His publications span topics like settlement-free cellular peering, UAV network optimization, and game-theoretic approaches to spectrum sharing, showcasing contributions to both academic and industry-relevant challenges in telecommunications.

Dirk Heckmannمشاهده پروفایل

استاد

• Data Protection Law
• IT Security Law
• E-Government
• +۵ مورد دیگر

Prof. Dirk Heckmann is a Professor at the Technical University of Munich (TUM), holding dual affiliations with the TUM School of Social Sciences and Technology and the TUM School of Computation, Information and Technology. His research focuses on data protection law, IT security law, e-government, and legal informatics. He completed his legal studies at the University of Trier and earned his habilitation from the University of Freiburg. Before joining TUM in 2019, he held a professorship at the University of Passau. Prof. Heckmann is a part-time constitutional judge at the Bavarian Constitutional Court since 2003. He has served on key national committees, including the Federal Ministry of Transport’s Ethics Commission on Autonomous and Connected Driving and the Federal Government’s Data Ethics Commission. He also serves as an ambassador for consumer interests at the Bavarian Center for Digitalization and directs the Bavarian Research Institute for Digital Transformation (bidt). His research interests emphasize humane digital transformation aligned with public welfare. Notable areas include cybersecurity compliance, AI ethics, and legal frameworks for digital health data. His work bridges legal theory with practical regulatory challenges, addressing emerging technologies like generative AI and autonomous systems. Prof. Heckmann’s publications span foundational legal commentaries, policy analyses, and interdisciplinary studies. Key works include Praxiskommentar Internetrecht (2024) and contributions to the EU Cyber Resilience Act. He advocates for evidence-based policymaking and interdisciplinary collaboration to shape effective digital governance. His professional activities include advising on digital health data policies, e-government reforms, and platform regulation. He emphasizes the need for adaptive legal frameworks to balance innovation with societal and ethical considerations.

Adria Junyent-Ferreمشاهده پروفایل

دانشیار

• Power Electronics
• HVDC Transmission
• Renewable Energy Systems
• +۲ مورد دیگر

Adria Junyent-Ferre is an Associate Professor in Power Electronics at Imperial College London's Department of Electrical and Electronic Engineering, part of the Faculty of Engineering. He holds a PhD from Universitat Politècnica de Catalunya (UPC) and has extensive experience in power electronics, HVDC transmission, and renewable energy integration. His research focuses on grid-forming inverter control, HVDC grids, and low-voltage distribution systems. He leads the RENGA project, addressing mini-grid expansion in developing regions. He is a Senior Member of IEEE and serves as an Associate Editor for IEEE Transactions on Power Delivery and Sustainable Energy. He teaches control of power electronic converters and real-time signal processing, and directs the Electrical and Electronic Engineering undergraduate program. Education: PhD (2011), MEng (2007) in Electrical Engineering from UPC. Affiliations: Control and Power Research Group, Energy Futures Lab, IEEE PES/CSS. Grants: RENGA project (Global Challenges Research Fund), multiple industry collaborations. Research interests span HVDC systems, modular multilevel converters, and grid resilience. He has authored over 100 publications, focusing on power electronics control, DC microgrids, and renewable integration. His work emphasizes practical applications in smart grids and sustainable energy distribution.

• Econometrics
• Productivity Analysis
• Efficiency Measurement
• +۵ مورد دیگر

Timothy Coelli is an Adjunct Professor at the School of Economics, University of Queensland. His research focuses on efficiency and productivity analysis, with applications to energy, healthcare, agriculture, and regulatory frameworks. He has authored influential books and numerous articles on frontier efficiency methodologies. His work often incorporates stochastic frontier analysis, parametric distance functions, and Malmquist indices. Key contributions include studies on electricity generation efficiency in Malaysia, microfinance impacts in Vietnam, and healthcare productivity in Australian hospitals. Coelli collaborates internationally, addressing topics like environmental sustainability, cost-benefit analysis in utility sectors, and policy design for regulatory frameworks. Education details are not explicitly listed in the provided text, but his extensive publications suggest advanced training in econometrics and applied economics. Research interests emphasize bridging theoretical efficiency models with practical policy applications across diverse industries. His work frequently addresses global challenges in resource allocation, cost management, and quality improvements in public and private sectors. Coelli has contributed to major projects such as the World Bank's primer on efficiency measurement for utilities and transport regulators. His technical reports and working papers further explore aggregation methods for efficiency metrics and the impact of competition policies on productivity growth. While no specific awards are listed, his prolific publications indicate significant academic recognition in his field.

Rizwan Asgharمشاهده پروفایل

دانشیار

• Cyber Security
• Privacy-Preserving Technologies
• Blockchain Applications
• +۳ مورد دیگر

Rizwan Asghar is a Reader at the Surrey Centre for Cyber Security, part of the School of Computer Science and Electronic Engineering at the University of Surrey. He also holds an Honorary Academic role at the University of Auckland's School of Computer Science. His roles include Academic Representative on Senate and MSc Admissions Lead. He joined Surrey in 2022 after serving as a Senior Lecturer at the University of Auckland (2015–2022) and completing postdoctoral research at institutions like CISPA (Germany) and CREATE-NET (Italy). His research focuses on Cyber Security, Privacy-Preserving Technologies, and Blockchain Applications, with significant contributions to network security, adversarial machine learning, and data protection. He received the Clinton Bedogni Prize 2025 for his impactful work in Cyber Security. His teaching responsibilities include modules like Information Security Management (COMM037) and supervision of MSc dissertations and professional projects. Key research areas include intrusion detection systems, zero-knowledge proofs in federated learning, and cyber resilience quantification. His work often bridges theoretical advancements with practical applications, such as secure authentication systems (e.g., TIM) and blockchain-based health data frameworks (e.g., MedBloc). He actively contributes to cybersecurity education, advocating for interdisciplinary approaches in curriculum design. Rizwan's publications span journals like IEEE Communications Surveys and ACM Computing Surveys, addressing challenges in privacy quantification, adversarial defense, and secure communication protocols. His work frequently emphasizes real-world deployment and regulatory compliance, particularly in healthcare and financial sectors.

Arianna Vedaschiمشاهده پروفایل

استاد

• Comparative Public Law
• Counter-Terrorism
• Emergency Powers
• +۳ مورد دیگر

Arianna Vedaschi is Full Professor of Comparative Public Law at Bocconi University's Department of Legal Studies. She coordinates the Research Group on Constitutional Responses to Terrorism for the International Association of Constitutional Law and serves as Secretary-General of the Italian Association of Comparative and European Public Law. Research interests include: Constitutional responses to terrorism and emergencies Privacy-security tensions in data regulation AI governance and human rights protection Pandemic legal frameworks Publications analyze counter-terrorism measures, emergency powers during health crises, and data privacy regulations. Recent work examines democratic resilience during the COVID-19 pandemic and national security tools in counter-terrorism. Leadership: Serves on scientific boards including Fondazione Med-Or and Comparative Covid Law. Appointed General Rapporteur for the 2022 International Academy of Comparative Law Congress on pandemic policy limitations of fundamental freedoms.

Rachel Greenstadtمشاهده پروفایل

استاد

• Privacy-Enhancing Technologies
• AI Security
• Adversarial Machine Learning
• +۲ مورد دیگر

Rachel Greenstadt is Professor of Computer Science at NYU Tandon School of Engineering and core faculty at NYU Center for Cybersecurity. Her research develops trustworthy intelligent systems at the intersection of AI, privacy, and security. Education: B.S. in Computer Science, MIT (2001) M.S. in Electrical Engineering and Computer Science, MIT (2002) Ph.D. in Computer Science, Harvard University (2007) Research Focus: Designs systems that balance autonomy with integrity through: Privacy-enhancing technologies and anonymity systems Detection of AI-generated content and deepfakes Analysis of online harassment and disinformation ecosystems Adversarial attacks on machine learning systems Leadership: Founded and directs the Privacy, Security, and Automation Laboratory (PSAL). Serves on editorial boards for Proceedings on Privacy Enhancing Technologies and organizes ACM AI & Security workshops. Recent studies examine limitations of large language models for propaganda detection and usability challenges in privacy tools.

Jaap Wieringaمشاهده پروفایل

استاد

• Data Science
• Marketing Analytics
• Econometrics
• +۱۰ مورد دیگر

Prof. Jaap Wieringa is a Full Professor of Research Methods in Business at the University of Groningen's Faculty of Economics and Business, Department of Marketing. He holds an MSc in Econometrics (1994) and a PhD in Economics (1999), both from the University of Groningen. His research focuses on Data Science, Marketing Analytics, and Privacy, with notable contributions to the understanding of privacy-utility trade-offs and digital transformation challenges. Wieringa has been recognized as one of the top teachers in his faculty, winning the 'Best Teacher of the Year' award three times and the 'Web-Prize' for best teacher in 2011. He has co-authored influential books such as *Creating Value with Data Analytics in Marketing* and served as an editor for key journals like *International Journal of Research in Marketing*. His work bridges academic rigor with practical applications, including consultancy in quality improvement programs like Six Sigma. Wieringa also holds a visiting professorship at Exeter Business School and has taught globally. His current research emphasizes privacy in data science and marketing model building. Wieringa’s extensive publications span journals like *Journal of Marketing* and *Journal of Interactive Marketing*, addressing topics such as pharmaceutical marketing, consumer privacy, and energy market dynamics. His teaching spans all academic levels, with a focus on data-driven methods. Ancillary roles include board memberships in the Data & Insights Network and EMAC, reflecting his leadership in marketing academia.

Hong Wanمشاهده پروفایل

دانشیار

• Complex Simulation Modeling
• Blockchain Analysis
• Data Science
• +۵ مورد دیگر

Hong Wan is an Associate Professor in the Department of Industrial and Systems Engineering (ISE) at North Carolina State University (NC State). She holds a Ph.D. in Industrial Engineering and Management Sciences from Northwestern University (2004), with earlier degrees in Chemistry (Peking University, 1998), Materials Science (Northwestern, 2001), and Industrial Engineering (Northwestern, 2002). Before joining NC State, she was an Associate Professor at Purdue University’s School of Industrial Engineering, where she directed the Purdue Blockchain Lab and co-directed the Smart Design Lab. She is also affiliated with the SEED Center for Data Farming at the Naval Postgraduate School. Her research focuses on blockchain analysis, complex simulation modeling, healthcare systems simulation, and game theory applications in quality management. She leads NC State’s ISE Blockchain Lab, studying blockchain as a complex system using simulation, optimization, and statistical methods. Notable contributions include modeling Bitcoin network dynamics, developing sequential elimination procedures for optimization, and integrating machine learning with blockchain systems. Education: B.S. in Chemistry (Peking University, 1998) M.S. in Materials Science (Northwestern University, 2001) M.S. in Industrial Engineering & Management Sciences (Northwestern University, 2002) Ph.D. in Industrial Engineering & Management Sciences (Northwestern University, 2004) Awards: 2017 Featured Paper in IIE Transactions 2014 Best Student Paper Finalist (QSR) 2013 Military Application Society Koopman Prize (INFORMS) Labs/Teams: ISE Blockchain Lab (NC State) Purdue Blockchain Lab (former) SEED Center for Data Farming (Naval Postgraduate School) Her work bridges operations research and emerging technologies, emphasizing strategic decision-making in decentralized systems and healthcare applications. Recent projects explore generative AI for simulation and blockchain’s role in supply chain transparency.

• Digital Governance
• Artificial Intelligence Regulation
• Algorithmic Decision-Making
• +۴ مورد دیگر

Rodrigo Cetina Presuel is the Associate Dean for Education and Academic Affairs and a Senior Lecturer in Law and Public Policy at the UPF Barcelona School of Management (UPF-BSM) , part of Universitat Pompeu Fabra . He holds a PhD in Communication Law and Policy from Complutense University of Madrid . His research focuses on the legal and regulatory challenges posed by digital technologies, particularly AI systems, algorithmic governance, and platform content moderation. He critically examines how private entities shape digital public spheres and the evolving legal frameworks impacting fundamental rights such as freedom of expression and privacy. Professional roles include serving as Head of Department for Management, Law, Society & Humanities at UPF-BSM, General Secretary of UPF-BSM, and Executive Director of the Real Colegio Complutense-Harvard. He has also held research positions at Harvard Law School . His academic leadership includes coordinating master’s programs in Public and Social Policies, Data Analytics for Business, and Responsible Management of AI. His research interests span AI regulation , digital governance , content moderation ethics , and comparative constitutional law . He analyzes how emerging technologies challenge traditional legal frameworks, advocating for balanced policies that protect rights while fostering innovation. Recent work emphasizes systemic risk management under the EU Digital Services Act (DSA), AI’s impact on bureaucratic decision-making, and transnational copyright norms in generative AI contexts. Cetina Presuel’s interdisciplinary approach bridges law, communication studies, and public policy. He has authored over 15 journal articles, 10 book chapters, and serves as a reviewer for international conferences. His publications address topics like blockchain regulation, disinformation countermeasures, and the ethical implications of algorithmic systems.

Jang Wonhyeokمشاهده پروفایل

مدرس

• Power system modeling and analysis
• Renewable energy integration
• Power system restoration
• +۵ مورد دیگر

Jang Wonhyeok is a Lecturer in the Department of Electrical & Computer Engineering at Texas A&M University, located in WEB 310MD. His professional roles include teaching and research in power systems and renewable energy integration. He holds a B.S. (2008) and M.S. (2010) from Sungkyunkwan University, followed by a Ph.D. (year unspecified) in Electrical & Computer Engineering from the University of Illinois at Urbana-Champaign. His research focuses on power system modeling, renewable energy integration, grid restoration, and engineering education innovation. Notable projects include developing visualization tools for grid management using eye-tracking technology and creating synthetic PMU data for cybersecurity validation. He also explores fast-responding storage systems for grid stability and multirate methods for dynamic analysis. Recent publications (2021–2024) emphasize pedagogical advancements in electrical engineering education while maintaining core contributions to power system dynamics, protection algorithms, and resilience engineering. His work bridges theoretical research with practical applications in grid modernization and operator training systems. Jang’s research has been supported by collaborative projects with industry and academic partners, though specific grants or lab affiliations are not detailed in the provided texts. His contributions extend to curriculum development and active learning strategies in technical disciplines.