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Karuna Pande JoshiView profile

Professor

• AI/Data Science
• Legal Text Analytics
• Cloud Computing
• +5 more

Karuna Pande Joshi is a Professor of Information Systems at the University of Maryland, Baltimore County (UMBC), and the Director of the Center for Accelerated Real-time Analytics (CARTA). She also leads the Knowledge, Analytics, Cognitive and Cloud Lab. Her research focuses on AI/Data Science, Legal Text Analytics, Cloud Computing, and Healthcare IT, with notable work on oblivious cloud systems and automating legal documents. Dr. Joshi holds a PhD and MS from UMBC, supported by IBM PhD Fellowships, and a BEng from the University of Mumbai. Her industry experience includes over 15 years as an IT manager at organizations like the International Monetary Fund, managing projects in databases, web content management, and network applications. She has secured grants from NSF, ONR, DoD, Cisco, and GE Research, including an NSF I-Corps award and TEDCO MII grant for commercializing research through a startup. Research interests span cloud usability standards (collaborating with NIST), medical device regulatory compliance, and cybersecurity frameworks. Notable projects include the ALDA cognitive assistant for legal documents and frameworks for secure cloud EHR systems using attribute-based encryption. She advises over 14 graduate students and leads interdisciplinary teams addressing challenges in healthcare IT, cybersecurity, and cloud services. Awards include IBM PhD Fellowship (twice), TEDCO MII grant, and NSF I-Corps award. Her work emphasizes practical solutions for transitioning organizations to cloud systems while addressing compliance, privacy, and security challenges.

Pascale ChapdelaineView profile

Associate Professor

• Copyright Law
• Contract Law
• Privacy Law
• +4 more

Pascale Chapdelaine is an Associate Professor at the Faculty of Law, University of Windsor, specializing in the intersection of law, technology, and society. She holds an LL.B. and B.C.L. from McGill University, an LL.M. from K.U. Leuven (Belgium), and a Ph.D. from Osgoode Hall Law School. With over 14 years of prior legal practice in corporate and intellectual property law, she brings practical expertise to her research on copyright, consumer protection, and algorithmic discrimination. Her research examines the evolving rights of consumers in digital environments, with recent focus on algorithmic price discrimination and personal data extraction. She directs the Windsor Law LTEC Lab, fostering interdisciplinary dialogue on technology regulation through symposia and research networks. Awards include the Government of Canada Peacekeeping Medal for civilian service in Kosovo and multiple teaching excellence honors. Publications demonstrate consistent focus on copyright frameworks, digital sovereignty, and consumer rights in e-commerce. Recent works analyze algorithmic pricing models, cultural sovereignty threats from tech platforms, and AI copyright policy. She maintains international collaborations with institutions including Oxford University and the Weizenbaum Institute.

• Human Activity Recognition
• Wireless Sensor Networks
• Indoor Localization
• +3 more

Seyed Ghorashi is Reader (equivalent to Associate Professor) at the University of East London's Research Institute for Architecture, Computing & Engineering. His research specializes in wireless sensor networks, human activity recognition using Wi-Fi signals, indoor localization, and radar signal processing. Major contributions include CSI-based activity recognition systems, fingerprint localization algorithms, and MIMO radar designs. Recent publications focus on enhancing activity recognition accuracy through edge detection and autoencoders, developing efficient indoor positioning systems using deep learning, and optimizing MIMO radar configurations. Research demonstrates consistent innovation in signal processing and machine learning applications for sensing technologies. Professional service includes editorial roles and conference committees. Teaching and supervision activities center on computer networks, machine learning applications, and wireless communication systems at postgraduate levels, though specific course details are unavailable.

• Social Marketing
• Advertising Effectiveness
• Public Health Communication
• +2 more

Murooj Yousef is a Lecturer at Australian Catholic University's Peter Faber Business School within the Faculty of Law and Business. Her research focuses on social marketing effectiveness, digital behavior change interventions, and policy analysis of emerging technologies. Research Areas: Emotional appeal efficacy in social advertising Digital health intervention design AI regulation frameworks Wildlife conservation communication Publication Focus: Her work demonstrates consistent methodological rigor in experimental and computational approaches to behavior change, with recent emphasis on digital health interventions and AI policy frameworks.

Ramesh ShankarView profile

Associate Professor

• Pricing and Licensing of Software and Digital Goods
• Environmental Impact of Durable Goods
• Online User Behavior
• +8 more

Ramesh Shankar is an Associate Professor of Information Systems at the School of Business, University of Connecticut, specializing in Operations and Information Management. With a Ph.D. from NYU Stern School of Business, an MBA from IIM Ahmedabad, and a B.Tech. from IIT Madras, he brings extensive academic credentials to his research and teaching. His educational background includes: Ph.D., NYU Stern School of Business, New York MBA, IIM Ahmedabad, India B.Tech., IIT Madras, India Shankar's research spans multiple domains including pricing and licensing of software and digital goods, environmental impact of durable goods, and online user behavior. His methodological expertise encompasses Game Theory, Industrial Organization Economics, Experimental Methods, and Econometrics. His current research focuses on Big Data analytics, social media analytics, and strategic analysis of durable goods innovation, particularly examining digital goods such as software, music and video games. His work bridges theoretical economic models with practical business applications, often employing both experimental and empirical approaches to study complex market phenomena. Analyzing his recent publications reveals a strong thematic focus on the intersection of technology, consumer behavior, and sustainability. His work consistently examines how digital platforms, software updates, and online communities influence economic outcomes, with increasing attention to environmental sustainability implications. The research demonstrates methodological diversity, combining game theory, econometrics, and experimental approaches across multiple publication venues including top journals like Information Systems Research, MIS Quarterly, and Marketing Science. Among his notable recognitions is being a Best paper finalist for the Decision Sciences Journal in November 2019. His research has appeared in leading journals such as Information Systems Research, MIS Quarterly, Production & Operations Management, Marketing Science, and ACM Transactions. Shankar has served as Associate Editor for MIS Quarterly and as a reviewer for numerous prestigious journals including ISR, MIS Quarterly, Management Science, Marketing Science, POMS, JMIS, DSS, and ACM Transactions. He has also brought practical industry experience through management consulting engagements with multinational corporations including ICICI, GE, and Morgan Stanley. At UConn and NYU Stern, he has taught courses on IT Strategy, Big Data Analytics, Business Information Systems and Database Management, connecting his research with classroom instruction.

Salman MohagheghiView profile

Associate Professor

• Power System Operation and Management
• Power Grid Resilience
• Renewable Energies
• +3 more

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
• +3 more

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 ShiView profile

Associate Professor

• Machine Learning
• Data Privacy
• Bioinformatics
• +4 more

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 ZhouView profile

Associate Professor

• Artificial Intelligence
• Healthcare Information Systems
• Tech Ethics
• +3 more

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 RahmanView profile

Assistant Professor

• Cybersecurity
• Networking
• Artificial Intelligence
• +3 more

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 HeckmannView profile

Professor

• Data Protection Law
• IT Security Law
• E-Government
• +5 more

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-FerreView profile

Associate Professor

• Power Electronics
• HVDC Transmission
• Renewable Energy Systems
• +2 more

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
• +5 more

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 AsgharView profile

Associate Professor

• Cyber Security
• Privacy-Preserving Technologies
• Blockchain Applications
• +3 more

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 VedaschiView profile

Professor

• Comparative Public Law
• Counter-Terrorism
• Emergency Powers
• +3 more

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.