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Marius Florin NiculescuView profile

Associate Professor

• Cybersecurity
• Economics of Information Systems
• Digital Sustainability
• +11 more

Marius Florin Niculescu is an Associate Professor in the Department of Information Technology Management at the Scheller College of Business, Georgia Institute of Technology. His research and teaching focus on IT management, business analytics, cybersecurity, and the economics of information systems. He has published extensively in top-tier journals and is actively involved in editorial leadership. Dr. Niculescu earned his Ph.D. in Operations, Information and Technology from Stanford Graduate School of Business (2009), an M.S. in Financial Mathematics from Stanford University (2007), and a B.A. in Applied Mathematics from Harvard University (2004). His research interests span cybersecurity, digital sustainability, freemium business models, platform and network economics, cloud computing, software quality and pricing, and open innovation. His work explores how digital technologies create value, how platforms compete under network effects, and how security and sustainability can be integrated into IT strategy. His recent publications, appearing in Management Science , Information Systems Research , and MIS Quarterly , reveal a strong trend toward understanding the economic and strategic implications of cybersecurity, cloud computing, and platform design. His work combines empirical analysis with economic modeling to inform managerial decisions in digital markets. ISS Sandra A. Slaughter Early Career Award (2017) AIS Best Publication of the Year Award (2013) Best Conference Paper Award, INFORMS Conference on IS & Technology (2012) Poets & Quants Best 40 Under 40 Professors (2019) Brady Family Award for Faculty Teaching Excellence (2019) Full-Time MBA Core Professor of the Year (2017, 2018, 2019) Management Science Distinguished & Meritorious Service Awards Dr. Niculescu has served as Associate Editor for Information Systems Research (2016–2020) and Management Science (2020–2024), and is currently a Senior Editor for Production and Operations Management . He has advised PhD students as the ITM Area PhD Coordinator and has led executive education programs for The Home Depot and Bank of America. He has also been a Georgia Tech Grand Challenges Faculty Fellow. He has been actively involved in major conferences, serving as President of the INFORMS eBusiness section (2013), co-chair of the 2015 INFORMS Conference on IS & Technology, and co-chair of the 2016 Theory in Economics of Information Systems (TEIS) Workshop.

Yi ZhuView profile

Professor

• Industrial Organization
• Quantitative Marketing
• Advertising
• +7 more

Yi Zhu is a Professor of Marketing and holder of the Margaret J. Holden and Dorothy A. Werlich Endowed Professor at the Carlson School of Management, University of Minnesota . His work bridges Industrial Organization , Quantitative Marketing , and Chinese Economy with a focus on digital advertising, platform economics, and consumer search behavior. Education PhD in Business Administration, University of Southern California (2013) MA in Economics, University of British Columbia (2004) MA in Management, Shanghai Academy of Social Sciences (2002) BE in Industry Engineering, Shanghai University of Electric Power (1998) His research applies Industrial Organization to Marketing , examining online auctions , advertising mechanisms , media slant , and Chinese economic dynamics . Recently, he has explored two-sided platforms and surge pricing effects on consumer complaints. Publications span Marketing Science , Management Science , and Journal of Marketing Research , with work highlighted in Harvard Business Review and Forbes . His advertising research includes auction design, TV-to-online search interactions, and budget-constrained advertiser behavior. Scientific Awards Winner of John D.C. Little Award (2015) Winner of Don Morrison Long Term Impact Award (2023) 3M Nontenured Faculty Grant (2013-2016) Marketing Science Institute (MSI) Scholar (2022, 2023) Holds the Carlson School Outstanding Teaching Award (2022) and serves as Associate Editor for Marketing Science . Teaching includes Marketing Analytics for MBAs and Marketing Strategy for undergraduates, with consistently high instructor ratings. Referees for top journals like Management Science and Information Systems Research .

• Cryptography
• Cybersecurity
• Computing

Antonio Zamora Gómez is an Associate Professor at the University of Alicante's Department of Computer Science and Artificial Intelligence, affiliated with the Higher Polytechnic School II. He joined the university in 1992 after seven years in secondary education. His academic credentials include a Licentiate Degree in Mathematical Sciences (Statistics and Operations Research) from the University of Valencia (1985) and a PhD in Computer Engineering from the University of Alicante (2000). Research Focus: Dr. Zamora leads the Cryptology and Computational Security research group, with expertise spanning cryptography, cybersecurity, and computational methods. His work emphasizes practical and theoretical aspects of data protection and algorithmic security. Academic Contributions: He has supervised four doctoral theses (two receiving extraordinary awards) and authored over 100 scholarly publications. His research group, Cybersecurity and Computing (CSC), operates under the University Institute of Computer Research. Contact: Reachable via email at zamora@ua.es or phone at +34 965903400 ext. 2733.

Xiaoyan HongView profile

Associate Professor

• Distributed Systems
• Internet of Things (IoT)
• Wireless Communications
• +4 more

Dr. Xiaoyan Hong is an Associate Professor in the Department of Computer Science at The University of Alabama's College of Engineering. Her research focuses on mobile/wireless networks, vehicular networks, and delay-tolerant systems. Ph.D., Computer Science, University of California-Los Angeles (2003) M.S., Computer Science, Zhejiang University (2000) Research spans Internet of Things (IoT) , Connected Vehicles , and Underwater Wireless Networks . Key projects include NSF-funded underwater robot communication infrastructure and smart traffic light systems. Recent work explores Named Data Networking (NDN) in vehicular environments, Task Synchronization for autonomous vehicles, and V2I Communication for traffic optimization. NSF Research Experience for Undergraduates (REU) grant recipient $1.5M NSF grant for underwater robotics networking Her research integrates with multiple engineering centers, including the Center for Advanced Vehicle Technologies and Center for Transportation Operations .

Steven L. JohnsonView profile

Associate Professor

• Online communities
• Social media
• Open innovation
• +10 more

Steven L. Johnson serves as Associate Professor of Commerce and Area Coordinator for Information Technology & Innovation at the University of Virginia School of Commerce. He also holds significant leadership positions as Faculty Lead of the Digital Technology for Democracy Lab at the University of Virginia Karsh Institute of Democracy and Faculty Affiliate for the Thriving Youth in a Digital Environment research initiative. His academic journey includes a Ph.D. in Information Systems from the University of Maryland, an MBA from The College of William & Mary, and a B.S. in Computer Science from the same institution. Ph.D., Information Systems, University of Maryland M.B.A., The College of William & Mary B.S., Computer Science, The College of William & Mary Professor Johnson's research adopts a sociotechnical systems perspective examining how digital technology intersects with people, processes, and data to impact individuals, organizations, and society. His work spans online communities, social media, open innovation, and the application of social network analysis and computational linguistics to study team dynamics. He investigates critical societal issues including content moderation, algorithmic bias, echo chambers, filter bubbles, and the ethical implications of AI. His ongoing collaborations explore how digital technology supports democracy through information distribution and discovery, its role in healthy youth development, and methods to minimize bias while promoting fairness in AI deployments. His research has appeared in top journals including MIS Quarterly, Organization Science, Information Systems Research, Information, Communication & Society, and Information & Organization. Analysis of his publication trends reveals a consistent focus on the societal implications of digital technology, with increasing attention to AI ethics, content moderation, and democratic processes in recent years. His methodological approach combines computational social science with network analysis to examine large-scale digital interactions. Professor Johnson has received numerous prestigious awards recognizing his scholarly contributions: Association for Information Systems Distinguished Member, Cum Laude (2021) University of Virginia Research Achievement Award (2021, 2022) MISQ Best Paper Award (2020) AOM OCIS Division Best Conference Paper Award (2018) Prix académique de la recherche en management (2015) As an educator, Johnson has taught numerous undergraduate and graduate courses covering systems and strategy, business analytics, information technology management, and specialized topics including Managerial View of AI and Race in Commerce. He has provided significant service to the academic community as Associate Editor at Information Systems Research, previously at MIS Quarterly, and as Senior Editor at Information & Organization. He serves on the executive committee of the Communication, Digital Technology, and Organizations division of the Academy of Management and was Program-Chair Elect for the 2025 Annual Meeting. His community engagement extends beyond academia through roles as Commissioner on the Charlottesville Economic Development Authority and involvement with local organizations including the Fifeville Neighborhood Art Gallery. Professor Johnson leads the Digital Technology for Democracy Lab at the Karsh Institute of Democracy, which examines how digital technology supports democratic processes through information distribution and discovery. He is also affiliated with the Thriving Youth in a Digital Environment research initiative, investigating how youth benefit from or are harmed by digital environments. His technical infrastructure contributions include operating the cville.online Mastodon server and managing the Fifeville air quality monitor.

Shen-Shyang HoView profile

Professor

• Machine Learning
• Data Mining
• Artificial Intelligence
• +7 more

Shen-Shyang Ho is a Full Professor in the Department of Computer Science at Rowan University's College of Science & Mathematics. His work spans machine learning, data mining, and edge computing with applications in urban mobility, precision agriculture, and data privacy. He leads NSF-funded research projects on dynamic graph analysis and spatiotemporal anomaly detection. Ph.D. in Computer Science, George Mason University Post-Doctoral Associate, Caltech & NASA JPL B.S. in Mathematics with Computational Science, National University of Singapore Research expertise includes graph-based machine learning, conformal prediction, cooperative inference, and privacy-preserving ML. Current work focuses on federated learning for edge devices and anomaly detection in evolving systems. He has developed tools like SplitTracer for cooperative inference evaluation and ParkGauge for urban mobility monitoring. Recent publications highlight his contributions to 2026 Pattern Recognition journal (martingale-based graph analysis), 2025 IEEE ICAIC conference (blockchain gas optimization), and 2024 ACM SAC symposium (shared mobility systems). His work integrates machine learning with real-world constraints across energy grids, transportation, and agricultural technology. NSF Grant (2022) for Dynamic Graph Anomaly Detection NSF Grant (2018) for Spatiotemporal Analysis Google Scholar Classic Paper Recognition (2017) for 2006 Radar Micro-Doppler Study Professional memberships include the Association for Computing Machinery (ACM). His teaching portfolio ranges from introductory programming to advanced ML courses. He previously held positions at Nanyang Technological University before joining Rowan in 2016.

Matthew CalderView profile

Researcher

• Cybersecurity
• Industrial Control Systems Security
• Cyber Physical Systems
• +5 more

Matthew Calder is a Researcher at the School of Computer and Information Sciences , University of Strathclyde. His work focuses on vulnerability discovery and mitigation in cyber-physical systems (CPS), particularly in pharmaceutical continuous manufacturing networks. He has expertise in security , networking , operating systems , and hardware , with a background in electrical engineering and computer security. His research includes securing CPS and analyzing ransomware, supported by the EPSRC-funded Industrial CASE Account project (2020–2024). Calder developed a model water treatment plant for experimental security testing, reflecting his hands-on approach to industrial control system (ICS) security. Research trends : Calder’s recent work emphasizes ICS security testbeds , CPS vulnerability modeling , and ransomware mitigation , combining theoretical analysis with practical hardware implementations. Project involvement : Industrial CASE Account - University of Strathclyde (2018–2024), as Research Co-investigator with EPSRC funding (£18,263.00)

Markos KounalakisView profile

Research Fellow

• International Relations
• Foreign Affairs
• Media Diplomacy
• +3 more

Markos Kounalakis, Ph.D., is a Visiting Fellow at Stanford University’s Hoover Institution , Senior Fellow at the Center on Media, Data, and Society at Central European University , and Senior Research Fellow at the University of Oregon-UNESCO Crossings Institute . An award-winning foreign affairs columnist, author, and scholar, his expertise spans International Relations , Media Diplomacy , and Global Security . Education Ph.D. in Political Science (International Relations), Central European University (summa cum laude) MSc in Journalism, Columbia University BSc in Political Science, University of California, Berkeley International Journalism Fellow, Annenberg School, USC Robert Bosch Foundation Fellow in Europe His research focuses on US Foreign Policy , Global Media Manipulation , and Authoritarian Influence . Notably, his 2018 book Spin Wars & Spy Games analyzed how Chinese and Russian media function as intelligence tools. He advocated for FARA compliance, influencing US policy. Scientific contributions include analyses of disinformation , cyber intelligence , and media’s role in diplomacy , with recent works (2022) examining Putin’s Ukraine war alliances and global trade-offs in Freedom Isn’t Free . Affiliations include the Fulbright Foreign Scholarship Board (2017), The Asia Foundation (2020), and Greece’s Council for International Relations (2021).

Mario AlvianoView profile

Professor

• Artificial Intelligence
• Knowledge Representation and Reasoning
• Combinatorial Search and Optimization
• +5 more

Mario Alviano is a Full Professor in Computer Science (INF/01) at the University of Calabria, Department of Mathematics and Computer Science. He leads the LAIA lab (Laboratorio di Applicazioni dell'Intelligenza Artificiale) and serves as co-PI in the PRIN project PRODE ('Probabilistic Declarative Process Mining'). Current projects: FAIR ('Future AI Research'), Tech4You ('Technologies for climate change adaptation'), SERICS ('SEcurity and RIghts in the CyberSpace'), CAL.HUB.RIA , RADIOAMICA , and STROKE 5.0 His research focuses on Answer Set Programming (ASP), particularly in optimization, nonmonotonic reasoning, and applications to logistics, healthcare, and cybersecurity. He has authored over 120 publications in top venues like AIJ, AAAI, and IJCAI. Recent academic contributions includes work on: Temporal Many-valued Conditional Logics Weighted Knowledge Bases with Typicality Explainable AI via xASP and ASP Chef Defeasible Reasoning Scalability Notable awards: Artificial Intelligence Award 'Marco Somalvico' (2017) ICLP Best Paper Awards (2015, 2016) LPNMR Best Paper Award (2022) CILC Best Paper Award (2023)

Stephen B. WickerView profile

Professor

• Information Networks
• Privacy and Security in Wireless Systems
• Wired and Wireless Telephony
• +11 more

Stephen B. Wicker is a Professor in the Department of Electrical and Computer Engineering at Cornell University, with affiliations in the graduate fields of Computer Science, Information Science, and Applied Mathematics. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and has received multiple teaching awards at Cornell, including the College of Engineering Teaching Award (2012) and the Douglas Whitney '61 Excellence in Teaching Award (2010). Education: B.S., Electrical and Communications Engineering, University of Virginia (1982) M.S., Electrical and Communications Engineering, Purdue University (1983) Ph.D., Electrical and Communications Engineering, University of Southern California (1987) Wicker's research spans privacy and security in information networks , wireless systems , and network science . His work integrates game theory and mechanism design to address privacy challenges in consumer internet models. He has pioneered frameworks to balance data collection with user rights , influencing policy discussions on digital surveillance and Fifth Amendment protections . Research Trends: Recent publications highlight intersections between 5G/IoT and healthcare systems , blockchain applications in IoT, and algorithmic fairness . His 2022 work on 5G in Healthcare explores network optimization, while 2018–2020 studies focus on surveillance ethics and cyber-physical security . Scientific Awards: 2012 IEEE Fellow College of Engineering Teaching Award (2012, 2000, 1998) Douglas Whitney '61 Excellence in Teaching Award (2010) Cornell School of ECE Teaching Award (2009) Wicker has mentored prominent researchers like Dipayan Ghosh , whose work on digital privacy builds on Wicker’s earlier studies. His contributions include six books , Cellular Convergence and the Death of Privacy (2013), and over 50 peer-reviewed articles, reflecting his focus on privacy-aware design and policy reform in technology.

• Corporate Governance
• Environmental, Social, and Governance (ESG) Accounting
• Sustainability Reporting
• +5 more

Professor Habiba Al-Shaer is an academic in the Department of Accounting & Finance at the University of Stirling. Her research focuses on corporate governance, ESG accounting, sustainability reporting, and the intersection of board diversity with corporate accountability. Her work examines how CEO power, audit committee quality, and board characteristics influence cybersecurity risk management, carbon emission performance, and CSR engagement. She analyzes the moderating effects of eco-innovation, gender diversity, and macroeconomic uncertainties on sustainability outcomes. Recent publications address biodiversity disclosure dynamics, conflict mineral transparency, and the financial implications of ESG performance. Her research spans corporate governance mechanisms, stakeholder prioritization, and climate change mitigation strategies in Western European and global contexts.

Christine O'MearaView profile

Part-Time Lecturer

• Agriculture Technology
• Business Models
• Mobile Applications
• +3 more

Christine O'Meara serves as a Part Time Lecturer at Technological University of the Shannon while holding a Commercialisation Specialist position at Walton Institute for Information and Communications Systems Science (Department of Computing and Mathematics, South East Technological University). Her interdisciplinary work bridges agricultural technology and data-driven business innovation, with emphasis on user-centric solutions for farming communities and privacy-aware platforms. Her educational background includes: Masters Degree in Analysis of The Translation of Wordplay in Asterix from Dublin City University (awarded January 1996) Bachelors Degree in The Advertising Industry in Ireland from Dublin City University (awarded September 1993) Research interests focus on sustainable technology adoption in agriculture, evidenced by her fingerprint analysis showing strong engagement with Business Models (100%), Mobile Applications (100%), Farming Communities (100%), and Agriculture Engineering (50%). Her work directly contributes to UN Sustainable Development Goals through digitization initiatives in biodiversity and green deal frameworks, particularly exploring how contextual data and smart devices can transform traditional farming practices while addressing privacy concerns. Publication trends reveal an evolution from foundational work on privacy-aware business ecosystems (2015) toward human-centered agricultural technology development (2021), demonstrating consistent focus on user experience in data-driven environments. Her 2021 article on geotagged photo apps for farming communities has garnered significant attention with 31 Scopus citations. No scientific awards were documented in the source material. Professional activities show no formal student advisement roles referenced, though her design-thinking methodology suggests mentorship in collaborative research. The Commercialisation Specialist role implies involvement in grant-funded technology transfer initiatives, though specific projects aren't detailed. She operates within Walton Institute's research ecosystem, contributing to their focus on information and communications systems. Her network analysis indicates active collaboration across business model innovation and agricultural technology domains, with connections spanning mobile application development and sustainable farming communities.

David StupplesView profile

Professor

• Space-based reconnaissance and surveillance systems
• Resilient position, navigation, and timing (PNT) systems
• Optical sensors for deep-space navigation
• +4 more

Professor David Stupples is a Professor of Electronic & Radio Engineering at City St George's, University of London , where he has served as Course Director for the MSc in Space Systems since 2021. He is also a Scientific Advisor to the UK Government (2012–present) and holds fellowships with the Royal Aeronautical Society, Institute of Measurement & Control, and other professional organizations. His research focuses on resilient position, navigation, and timing (PNT) systems for military and civilian applications, including the development of a solo micro-satellite to geolocate electromagnetic interference sources. He applies systems modeling and cyber warfare analysis to enhance decision-making and security in complex engineering environments. Key publications include: " Semantic Approach to Web-Based Discovery of Unknowns " (2013) – addressing intelligence gathering via natural language processing and grounded theory. " Probability Analysis of Cyber Attack Paths " (2013) – exploring risk in enterprise systems. " J-value: a universal scale for health and safety spending " (2006) – introducing a risk-assessment framework. Scientific awards include Fellow, Chartered Engineer, Institute of Electronic and Radio Engineers (1981–present) Fellow, Chartered Engineer, Royal Aeronautical Society (2016–present)

Valentina CecchiView profile

Associate Professor

• Electric power systems modeling and analysis
• Transmission and distribution system optimization
• Grid-enhancing technologies
• +4 more

Valentina Cecchi is Associate Professor of Electrical and Computer Engineering and Associate Director of the same department at the University of North Carolina at Charlotte (UNC Charlotte), where she has been a faculty member since 2010. She previously served as Graduate Program Director and Associate Chair of the department from 2019 to 2024. Education background: Ph.D. in Electrical Engineering, Drexel University, Philadelphia, PA Research interests center on electric power systems modeling and analysis, with particular emphasis on optimization of transmission and distribution system planning and operation, grid-enhancing technologies, dynamic line rating of transmission lines, and the integration of renewable and distributed energy resources. Her work spans power system protection, resilience, data-driven analytics, and pedagogical innovation in power engineering education. A consistent thread in her recent publications (2023-2025) is the application of advanced analytics and machine learning to improve real-time monitoring, protection, and restoration of active distribution networks. A complementary focus is the development and evaluation of modern educational methodologies to prepare students for emerging challenges in power and energy systems. Scientific awards: William States Lee College of Engineering Graduate Teaching Excellence Award (2022) Advising & grants narrative: While specific PhD/Master’s students are not listed in the provided text, Dr. Cecchi’s service as Graduate Program Director and her active publication record with student co-authors suggest significant mentoring activity. She has led NSF-supported curriculum updates and educational research efforts, and her work on distribution system resilience, renewable integration, and protection coordination has been funded by multiple agencies and industry partners. Laboratory & teams: Dr. Cecchi is affiliated with the EPIC building (Energy Production and Infrastructure Center) at UNC Charlotte, specifically office 1224, and contributes to the university’s power and energy systems research infrastructure.

• Cognitive Engineering
• Human-Automation Interaction
• Cybersecurity
• +3 more

Robert Gutzwiller is an Associate Professor in Human Systems Engineering at The Polytechnic School, Arizona State University . He serves as Associate Director of the Center for Human, Artificial Intelligence, and Robot Teaming and Affiliate of the Center for Cybersecurity & Trusted Foundations , both under ASU's Global Security Initiative. Education: Ph.D. in Cognitive Psychology (2014, Colorado State University) M.S. in Cognitive Psychology (2011, Colorado State University) B.S. in Psychology (2008, Baylor University) His research focuses on cognitive engineering applications for cyberspace, transportation, and defense domains. Key areas include: Engineering human attention under multitasking overload Human-automation trust and interaction dynamics Cybersecurity cognition and defense mechanisms Human systems integration in military/healthcare Recent publications analyze 15 articles across human-AI teaming, attention modeling, and cyber defense. Notable trends include trust measurement via eye tracking, decision-making biases in cyber attackers, and workload management tools like SEEV Modeler and STOM Model. Scientific recognitions include: Jerome H. Ely Award (Human Factors Journal) Marc Resnick Best Paper Award Lightning Bolt Innovation Team Award (U.S. Navy) Exemplary Achievement Awards for leadership SMART Scholarship (U.S. Department of Defense) He has received funding from Army Research Office, DARPA, IARPA, NASA, Office of Naval Research , and other government agencies. His lab work focuses on human-autonomy teaming and cognitive cyber situational awareness through collaborations with U.S. Navy and defense institutions.