جست‌وجوی استاد و پژوهشگر

• Entrepreneurship Theory
• Strategic Management
• Economic Calculation
• +۶ مورد دیگر

Steven Phelan is a Professor of Entrepreneurship at Kennesaw State University , College of Business . With a career spanning 30+ years, he has taught MBA students globally, led entrepreneurship centers, and contributed to research on entrepreneurial theory, strategic management, and economic systems. His work explores intersections of AI ethics , institutional change , and competitive advantage . B.Sc. (Hons.) - University of Melbourne M.B.A. - Monash University Ph.D. - La Trobe University Dr. Phelan's research focuses on entrepreneurship theory, complexity science, and technological impact. His recent publications examine generative AI regulation , competitive advantage frameworks , and economic calculation debates in digital contexts. He employs agent-based modeling and multivariate analysis to investigate entrepreneurial behavior and firm dynamics. His work bridges machine learning ethics with Austrian economics , analyzing how artificial systems can replicate entrepreneurial processes. Current projects address innovation value creation , strategic landscapes , and institutional change .

William Marcellinoمشاهده پروفایل

استاد

• Artificial Intelligence
• National Security
• Social Media Analysis
• +۵ مورد دیگر

William Marcellino is a Senior Behavioral and Social Scientist at the RAND Corporation and a Professor of Text Analytics at the RAND School of Public Policy. He also serves as a lecturer at Carnegie Mellon University, where he earned his Ph.D. in rhetoric. His academic and research roles focus on AI applications, such as developing RAND-Lex, a proprietary text analytics tool, and teaching NLP and qualitative methods. Marcellino’s research expertise spans information operations, national security, social media analysis, and military technology. He previously served as a U.S. Marine tank officer and enlisted rifleman, informing his work on military resilience and defense-related AI acquisition. His recent work addresses AI’s role in disinformation, China’s AI exports, and ethical frameworks for influence operations. Education: Ph.D. in Rhetoric, Carnegie Mellon University Key Projects: RAND-Lex development, China AI Export Database, command narrative frameworks Notable Contributions: Analysis of social media’s role in conflict (e.g., Israel-Hamas, Ukraine-Russia), counter-radicalization strategies, and AI ethics.

Jena Martinمشاهده پروفایل

استاد

• Business and Human Rights
• Securities Regulation
• Data Privacy
• +۴ مورد دیگر

Jena Martin is a Professor of Law and the Katherine A. Ryan Chair for Global and International Law at St. Mary’s University School of Law in San Antonio, Texas. Previously, she held the Robert L. Shuman Professor of Law and Ethics position at West Virginia University. Her research focuses on business and human rights, particularly intersections with data privacy, AI, securities regulation, and corporate accountability. She has authored/co-authored influential books such as When the Levees Break and The Business and Human Rights Landscape , and her work appears in top law journals including the Yale Journal of Law and Technology. Education: J.D., cum laude, Howard University School of Law (1997); B.A., McGill University (1994). Licensed to practice in Maryland, D.C., and West Virginia. Her research explores innovative legal frameworks for regulating corporate behavior, including algorithmic accountability and SEC human rights enforcement. Notable contributions include rethinking liability for transnational corporations and advancing disclosure-based regulatory strategies. Her work has been presented at the United Nations and in media outlets like The Chicago Tribune. Awards: 2022 West Virginia Executive’s Lawyers & Leaders, 2019 Reviewer of the Year (Business and Human Rights Journal), Dean’s Teaching Award (2015), and SEC Director’s Award (2004). Professional Experience: Former Senior Counsel at the SEC’s Division of Enforcement; consultant for small businesses and global corporations. Current Projects: Leading initiatives on AI ethics, metaverse governance, and corporate bystander liability. Active in public service programs to improve business contract practices. Her teaching focuses on securities regulation and human rights law, with a commitment to interdisciplinary approaches addressing modern corporate challenges.

• Consumer Behavior
• Financialization of Everyday Life
• Market Dynamics
• +۶ مورد دیگر

Lena Pellandini-Simanyi is a Professor at the Institute of Marketing and Communication Management at the Università della Svizzera italiana (USI) in Lugano, Switzerland. Her research focuses on cultural marketing, consumer behavior, financialization of everyday life, and market moralities. She leads a Swiss National Science Foundation grant project investigating how symbolic meanings influence lay investors' stock choices, bridging consumer behavior, economic sociology, and finance. Her academic work spans interdisciplinary market studies, organizational communication, and ethical consumption. Notable research areas include credit marketing's impact on inequality, the performativity of nudging in market design, and the socio-material construction of consumer rationality. She has published extensively on topics like mortgage markets, debt dynamics, and cultural shifts in consumer practices across Hungary, the U.S., and beyond. Recent grants include the Lead Agency Swiss National Science Foundation grant (2024), emphasizing her role in shaping market ethics and financial behavior research. Her work often integrates qualitative methods, exploring how legal frameworks and cultural values shape market organization and consumer agency. Key Research Themes: Consumer Culture Theory, Markets and Moralities, Financialization, Corporate Communication Notable Projects: Analysis of Hungarian mortgage market governance, cross-cultural comparisons of debt practices, and the ethics of algorithmic credit marketing

• Financial Engineering
• Corporate Governance
• Banking Regulation (Basil II)
• +۷ مورد دیگر

WU Jian is a Professor of Finance at NEOMA Business School, serving ten years as Head of the Economics and Finance Department. She teaches investment, financial risk management, and sustainable finance across undergraduate and executive programs. Her research focuses on financial engineering, banking regulation, corporate governance, and ESG integration. Notable contributions include studies on green bonds' impact on manufacturing, carbon pricing mechanisms in EU countries, and the diffusion of corporate social responsibility through board interlocks. Education: Holds a Doctorate in Management Sciences with specialization in Finance. Professional activities include organizing seminars on banking capital structure and presenting at global conferences such as EFMA, AFFI, and ATINER. Recent work emphasizes sustainability topics like smart agriculture evaluation and carbon subsidy effectiveness in Chinese cities. Her publications span journals like Renewable Energy , Economics Letters , and Bankers, Markets & Investors , reflecting expertise in both theoretical finance (e.g., exotic options) and applied sustainability research. Active in international academic networks, she contributes to bridging financial innovation with real-economy applications.

Domenico Ciuonzoمشاهده پروفایل

استادیار

• Information Fusion
• Statistical Signal Processing
• Wireless Sensor Networks
• +۹ مورد دیگر

Dr. Domenico Ciuonzo is an Assistant Professor at the University of Naples Federico II , Department of Electrical Engineering and Information Technologies. His research focuses on Information Fusion , Statistical Signal Processing , Wireless Sensor Networks , Network Analytics , Artificial Intelligence , and Wireless Communications . He actively explores applications in deep learning , encrypted traffic classification , and IoT security . His recent work emphasizes explainable AI , quantum machine learning , and class incremental learning for network intrusion detection. Over 30+ publications span topics like decision fusion in MIMO systems , mobile app traffic analysis , and cybersecurity for IoT . He is also involved in dataset development (e.g., MIRAGE-APP× ACT-2024) and algorithmic frameworks for encrypted traffic classification . Key research trends include: Optimizing holographic communication systems and reconfigurable intelligent surfaces for wireless networks Developing attack-adaptive intrusion detection systems resilient to emerging threats Advancing quantum computing applications in network monitoring and prediction His research integrates statistical signal processing with modern AI techniques , addressing challenges in data privacy , network security , and resource-constrained environments .

• Cyber Security
• Internet of Things
• Blockchain
• +۴ مورد دیگر

Dr. Baraq Ghaleb is an Associate Professor within the Centre for Distributed Computing, Networks and Security at Edinburgh Napier University's School of Computing Engineering and the Built Environment. He actively delivers and leads modules for both Undergraduate and Postgraduate programs in the Cyber Security and Systems Engineering subject group. Dr. Ghaleb earned his PhD from Edinburgh Napier University in June 2019, following completion of his MSc and BSc degrees. His academic journey has positioned him as an expert in cybersecurity and IoT technologies. His research focuses on investigating security vulnerabilities of Internet of Things standards and utilizing cutting-edge advancements to address these vulnerabilities. With expertise spanning Cyber Security, Internet of Things, Blockchain, and Machine Learning, Dr. Ghaleb bridges theoretical research with practical applications, particularly in securing IoT ecosystems. His recent work shows a clear progression from foundational networking research to contemporary security challenges involving blockchain, cryptography, and AI-enhanced security solutions. Dr. Ghaleb has secured significant research funding as Principal Investigator and Co-Investigator across multiple projects with a total budget of approximately £435,000. His externally funded projects include SafeNet (Carnegie Trust), Trusted Threat Sharing (Innovate UK), TruElect (Innovate UK), and LastingAsset (Innovate UK). He currently supervises numerous PhD students working on diverse security challenges: Blockchain-based Privacy-preserving Cybersecurity Intelligence Sharing (Elfatih Ahmed) Enhancing Security and Privacy of Blockchain-based Healthcare Systems (Faneela) Design of complex encryption schemes for IoT security (Shahbaz Khan) Intelligent and Privacy-Preserving Security Solutions for IoT Networks (Iain Baird) Dr. Ghaleb is affiliated with the Centre for Distributed Computing, Networking and Security and the Centre for Cybersecurity, IoT and Cyberphysical Systems, where he contributes to cutting-edge research in secure network architectures, cryptographic techniques, and privacy-preserving frameworks across multiple domains including automotive supply chains, healthcare systems, and environmental monitoring.

Jean Tiroleمشاهده پروفایل

پژوهشگر

• Industrial Organization
• Regulation
• Game Theory
• +۴ مورد دیگر

Jean Tirole is a renowned economist and Honorary President of the Toulouse School of Economics (TSE) and Institute for Advanced Study in Toulouse (IAST). He holds a visiting professorship at MIT and is a member of the Institut de France. His research focuses on industrial organization, regulation, game theory, finance, and macroeconomics. Tirole has authored over 200 articles and 12 books, including the influential Economics for the Common Good . Affiliations: TSE, IAST, MIT (visiting), Institut de France Educations: PhD in Economics (MIT, 1981), Engineer from École Polytechnique and École des Ponts ParisTech His research interests span regulation theory , financial markets , and the intersection of psychology and economics . Recent work addresses competition policy, digital markets, and climate change economics. Over 40 awards include the Nobel Prize in Economics (2014) , CNRS Gold Medal (2007), and numerous honorary doctorates. He advises global institutions on economic policy and regulation. Tirole’s grants include ERC funding and collaboration with think tanks. He mentors through TSE and contributes to policy research on labor markets, healthcare, and digital governance. He co-leads initiatives at TSE-Partnership and the Jean-Jacques Laffont Foundation, fostering interdisciplinary research in economics.

• Stochastic Processes
• Financial Volatility Modeling
• Machine Learning Applications
• +۵ مورد دیگر

Aerambamoorthy Thavaneswaran is a Professor in the Department of Statistics at the University of Manitoba , specializing in inference for stochastic processes and dynamic data science applications. His research bridges financial economics, machine learning, and fuzzy logic to develop innovative volatility models and trading strategies. University: University of Manitoba Department: Statistics Email: Aerambamoorthy.Thavaneswaran@umanitoba.ca Research Interests: His work focuses on neuro volatility models, financial network analysis, and fuzzy logic applications in portfolio optimization. Recent projects include hybrid deep learning architectures for cryptocurrency prediction and dynamic covariance modeling. Publications (2023-2025): His articles highlight advancements in volatility forecasting, algorithmic trading strategies, and neuro-fuzzy systems. Key topics include transformer networks for stock markets, adaptive fuzzy adjacency matrices, and Kalman filter integration for cryptocurrency trading.

Jimmy McGibneyمشاهده پروفایل

مدرس

• Network Security
• Artificial Intelligence
• Cybersecurity
• +۵ مورد دیگر

Jimmy McGibney is a Lecturer in the Department of Computing and Mathematics at Waterford Institute of Technology (WIT), now part of South Eastern Technological University (SETU). He holds a Master of Engineering from Dublin City University (1995) and a Bachelor of Engineering (Electronic) from University College Dublin (1992). His research focuses on network security, AI-driven cybersecurity solutions, trustworthiness in service compositions, and resource-constrained environments. External roles include serving as a Researcher at the Telecommunications Software and Systems Group (2000), a Research Assistant at Dublin City University (1996–1997), and a Systems Engineer at Aldiscon (1994–1996). His work emphasizes applied research in intrusion detection systems, network forensics, and trust management frameworks. Key research interests include AI applications in cybersecurity, trust metrics for service compositions, and securing edge computing environments. He has organized workshops on digital forensics and incident response, and his recent work explores AI methodologies for resource-limited systems. McGibney’s publications span over 38 works, including peer-reviewed chapters and conference contributions. Notable areas include network forensic readiness frameworks, deep learning-based intrusion detection, and trust overlays for spam protection. He has contributed to projects funded by industry and academic collaborations, focusing on practical cybersecurity solutions.

Christa Searleمشاهده پروفایل

استادیار

• Sustainability
• Logistics
• Operational Research
• +۳ مورد دیگر

Christa Searle is an Assistant Professor in Business Analytics at Heriot-Watt University's School of Social Sciences and Edinburgh Business School. She joined in 2021 and serves as Programme Director for the MSc Business Analytics and Consultancy. Her research focuses on sustainability, logistics, and human behavior, employing operational research, agent-based simulation, and data analytics. She holds an extraordinary senior lecturer position at Stellenbosch University, where she earned her PhD in Industrial Engineering (2019). Her work addresses challenges like hydrogen refuelling infrastructure design, supply chain optimization, and modeling complex systems such as tuberculosis spread in informal settlements. Key projects include the ATHENA framework for hydrogen infrastructure analysis and Agent-Based Modeling of forced migration and consumer behavior. Christa has been recognized with awards including the Tom Rozwadowski Medal (2022) and Fellow of the Higher Education Academy (FHEA, 2023). She actively participates in conferences and workshops, such as the 53rd Annual Conference of the Operations Research Society of South Africa (2024) and the Sustainable Road Freight Workshop (2023). She contributes to research groups like the Centre for Logistics & Sustainability and the FeMe Network. Her teaching emphasizes authentic, industry-engaged assessments and spans business and data analytics. Current research collaborations explore decarbonizing freight transport and SDG-aligned solutions, reflecting her commitment to practical sustainability outcomes.

Klitos Christodoulouمشاهده پروفایل

استادیار

• Distributed Ledger Technologies
• Blockchain
• Machine Learning
• +۳ مورد دیگر

Klitos Christodoulou is an Assistant Professor in the Department of Digital Innovation at the University of Nicosia (UNIC), affiliated with the School of Business. He holds a PhD in Computer Science from the University of Manchester (2014), along with a BSc and MSc in Computer Science from the same institution. His research focuses on Distributed Ledger Technologies, Blockchain, Machine Learning, and Data Integration. He is a research faculty member at UNIC's Institute For the Future (IFF) since 2018 and actively contributes to ISO/TC 307 standards for Blockchain. Christodoulou has led projects like the Ripple grant and participated in EU initiatives such as EUNOMIA and DLT4ALL. He teaches blockchain courses in UNIC's MSc in Digital Currency program and serves on editorial boards, including Frontiers in Blockchain. His work explores blockchain governance, consensus algorithms, and ethical applications in supply chains. Education: BSc in Computer Science, University of Manchester (2006–2009) MSc in Advanced Computer Science, University of Manchester (2009–2010) PhD in Computer Science, University of Manchester (2010–2014) Research Interests: Blockchain and DLT architectures Machine Learning applications in finance and security Decentralized governance models Blockchain adoption frameworks Awards/Grants: Principal Investigator of the Ripple grant; EU-funded projects (EUNOMIA, DLT4ALL); contributor to Cyprus National Blockchain Strategy. Labs/Teams: Institute For the Future (IFF), University of Nicosia

Risteski Aleksandarمشاهده پروفایل

استاد

• Telecommunications
• Cybersecurity
• Blockchain Technology
• +۵ مورد دیگر

Professor Risteski Aleksandar holds a Ph.D. in Telecommunications and has been a faculty member at the Faculty of Electrical Engineering and Information Technologies, University Ss. Cyril and Methodius, since 1996. He currently serves as a Professor and has held roles including Vice-Dean for Science and International Cooperation (2008–2016). His research focuses on telecommunications, cybersecurity, blockchain applications in education, and IoT security. He has extensive industry experience, including internships at IBM T.J. Watson Research Center in the U.S. Education: Ph.D. in Telecommunications (2001–2004) M.Sc. in Telecommunications (1997–2000) Dipl. Ing. in Electronics and Telecommunications (1991–1996) Research Interests: Blockchain technology for academic credential verification Cybersecurity in tactical communication systems IoT energy efficiency and reliability Network intrusion detection using deep learning Anti-forgery systems using AI and blockchain Publications Trends: Over 50 publications since 2000, with recent focus on blockchain applications in education, cybersecurity frameworks for 5G networks, and IoT energy optimization. His work bridges theoretical advancements with practical implementations in telecommunication infrastructure. Awards: No specific awards listed, though his contributions to blockchain-based educational systems and cybersecurity research are notable. Advising & Grants: No listed students, but active in research projects funded by industry partnerships. Collaborations include IBM Research and initiatives in Macedonia's telecommunication sector. Labs/Teams: Affiliated with the Institute of Telecommunications at his faculty, focusing on network security and emerging technologies.

Anke Wieseمشاهده پروفایل

دانشیار

• Stochastic Systems
• Stochastic Differential Equations
• Computational Finance
• +۳ مورد دیگر

Anke Wiese is an Associate Professor at the School of Mathematical & Computer Sciences, Heriot-Watt University, within the Actuarial Mathematics & Statistics department. Prior to her academic roles, she worked in risk management in the financial services industry and held positions at the University of Hamburg and the University of Karlsruhe (now KIT). She earned her PhD from the University of Karlsruhe, Germany. Her research focuses on stochastic systems, particularly developing methods for solving stochastic differential equations (SDEs) while preserving qualitative characteristics. Key areas include algebraic structures of SDEs, integration methods for SDEs with jumps, and applications in computational finance. She bridges mathematical disciplines such as stochastic analysis, algebra, and quantum stochastics. Recent publications explore Grassmannian flows in coagulation systems, integrable equations via Pöppe triples, and efficient inversion techniques in the Heston model. Her work emphasizes numerical methods, stochastic processes, and interdisciplinary applications. Dr. Wiese actively supervises PhD students and welcomes inquiries for doctoral applications. Her research has been published in journals like Physica D, SIAM Journal on Financial Mathematics, and the Proceedings of the Royal Society A.

Maura R. Grossmanمشاهده پروفایل

استاد پژوهشی

• High-Recall Information Retrieval
• AI Ethics
• Electronic Discovery
• +۳ مورد دیگر

Maura R. Grossman is a Research Professor at the University of Waterloo, specializing in High-Recall Information Retrieval, AI ethics, and legal technology. Her work focuses on ensuring comprehensive information retrieval in high-stakes contexts like electronic discovery in law, healthcare data curation, and medical evidence synthesis. She explores the intersection of artificial intelligence and legal systems, particularly addressing challenges posed by AI-generated evidence and deepfakes in judicial processes. Education: J.D. (Georgetown University Law Center, 1999), Ph.D. (Adelphi University, 1984), M.A. (Adelphi University, 1982), A.B. (Brown University, 1980). Research interests include AI accountability in courts, responsible data science practices, and improving electronic discovery methodologies. Recent work analyzes AI’s role in legal proceedings, ethical AI frameworks, and healthcare data governance. Her publications emphasize validating technology-assisted review (TAR) systems and evaluating generative AI impacts on marginalized communities. Her articles highlight trends in AI’s legal implications, healthcare data sharing protocols, and the need for transparent algorithmic systems in justice contexts. She contributes to TREC tracks, advancing high-recall retrieval techniques for legal and medical document analysis. Notable projects include developing frameworks for unbiased health data sharing and analyzing AI’s effects on marginalized writers. Her work underscores interdisciplinary collaboration between law, computer science, and healthcare to address emerging technological challenges.