جست‌وجوی استاد و پژوهشگر

Ha Dao Thi Thuمشاهده پروفایل

پژوهشگر

• Online Privacy
• Data Protection
• Network Measurement
• +۳ مورد دیگر

Ha Dao Thi Thu is a Postdoc researcher at the Max Planck Institute for Informatics in the Internet Architecture department, Germany. She previously held roles such as JSPS Research Fellow at the National Institute of Informatics, Japan, and Lecturer/Teaching Assistant at the University of Information Technology (VNUHCM–UIT), Vietnam. Educational background: PhD in Informatics from SOKENDAI (School of Multidisciplinary Sciences), Japan (2019-2022) MSc in Computer Science from VNUHCM–UIT (2016-2019) B.Eng in Computer Networks & Communications from VNUHCM–UIT (2011-2016) Her research focuses on online privacy , data protection , and network/web security , particularly analyzing cookie mechanisms, behavioral advertising, and privacy measurement frameworks. Recent work includes studies on cookie partitioning, illegal streaming tracking, and SSO login systems. She has served on program committees for PETS (2024-2026) and PAM (2023-2025), and contributed to journals/conferences like IEEE Access and AINTEC. Scientific recognition includes the NII Best Student Award 2022 and JSPS Fellowships for Young Scientists 2022 .

• Data Analytics
• Critical Infrastructure Management
• Cybersecurity
• +۳ مورد دیگر

Panos Melas is a Researcher and Engineer at the IT Innovation Centre within the School of Electronics and Computer Science at the University of Southampton. He holds a PhD in Computer Science (High Performance Computing) from the same institution (2000). His work focuses on data analytics, cybersecurity, critical infrastructure resilience, and urban safety. He contributes to projects like SPYDERISK, addressing privacy risks in distributed systems and decision-support frameworks for infrastructure management. Research interests include risk management in adaptive ICT systems, crime data analysis for urban safety, and grid infrastructure interoperability. His expertise spans technical leadership in interdisciplinary teams, with publications in conferences and reports on topics such as system trustworthiness and human perception of safety.

Mark Hickmanمشاهده پروفایل

استاد

• Transport Engineering
• Public Transit Planning
• Urban Transportation Modelling
• +۷ مورد دیگر

Professor Mark Hickman is the TAP Chair and Professor of Transport Engineering at the University of Queensland's School of Civil Engineering. He holds roles as Deputy Head of the School and Affiliate of the Dow Centre for Sustainable Engineering Innovation. His research focuses on public transit planning, sustainable transport innovations, urban transportation modelling, and traffic engineering. He has a PhD from MIT and has authored over 140 publications. Current research includes MaaS trials, electric vehicle infrastructure, and traffic incident prediction using AI. Education: BSc, MSc, and PhD from MIT. Grants include projects on MaaS impact trials, low/zero emission transport strategies, and real-time traffic analytics. Supervised 20+ PhD/Master’s students in areas like autonomous vehicles, transit operations, and sustainable transport policies. Leads grants from Queensland Transport, iMove CRC, and Brisbane City Council. Active in transport policy advising and media commentary on public transport, traffic engineering, and urban planning. Recent work emphasizes decarbonizing road freight, EV charging networks, and integrating MaaS systems. Lab affiliations include the Transport Academic Partnership (TAP) and the Australian Transport Research Cloud (ATRC). Collaborates on projects like the Odin Pass MaaS trial at UQ and Brisbane’s EV readiness assessments.

• Semantic Web and Ontology Engineering
• Agent-Based Modeling
• Knowledge Graphs
• +۴ مورد دیگر

Giovanna Di Marzo Serugendo is a researcher affiliated with the University of Geneva (Faculty of Social Sciences, Centre for Informatics) and the Institute of Information Service Science (ISS) . Her work spans semantic technologies, agent-based modeling, and sustainable systems. Research interests focus on Semantic knowledge graphs for regulatory compliance Ontology-driven resource management Self-organizing systems inspired by biological models AI applications in smart grids and urban mobility Digital agriculture platforms for smallholder farmers Recent publications highlight trends in ontology automation using LLMs, agent-based simulations for urban planning, and KG-enhanced compliance frameworks . She leads projects integrating digital twins with smart energy systems and develops bio-inspired coordination paradigms. Supervised works include 17 research projects in these domains. Current technical reports and conference papers explore cybersecurity-safety interdependencies in autonomous vehicles and decentralized event source detection in sensor networks.

• Information Systems
• Business/IT Alignment
• Machine Learning
• +۵ مورد دیگر

Lerina Aversano is an Associate Professor in the Department of Engineering (DING) at the University of Sannio, specializing in Information Processing Systems (ING-INF/05). Her research focuses on the intersection of business processes and information technology, with particular expertise in business/IT alignment, process mining, and machine learning applications. Her research interests include: Business/IT alignment and strategic integration Machine learning and deep learning applications in healthcare diagnostics Process mining and predictive analytics for business processes Software engineering and service-oriented computing Semantic integration of heterogeneous data sources Over her extensive career, Aversano has published 145 research items with a clear evolution from foundational work in business/IT alignment to cutting-edge applications of AI in healthcare and business process management. Her most recent publications demonstrate expertise in explainable AI for process prediction, AI applications in medical diagnosis (including Parkinson's and thyroid diseases), and security for IoT systems, showing her ability to adapt to emerging technologies while maintaining focus on core alignment issues between business needs and technological solutions. She maintains an active research group with frequent collaborations with Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, and Maria Tortorella, producing significant contributions to information systems literature. Her work appears in reputable venues including IEEE conferences, Springer publications, and journals like Information and Software Technology.

• Internet of Things (IoT)
• Cloud Computing
• Edge Computing
• +۶ مورد دیگر

Devki Nandan Jha is a researcher specializing in Internet of Things (IoT) , Cloud/Edge Computing , and Cybersecurity . His work focuses on runtime monitoring, security frameworks, and deployment optimization in heterogeneous environments. Collaborations include institutions across Europe and Asia, with frequent co-authorship with Rajiv Ranjan, David Wallom, and David Blundell.

Sean Hansenمشاهده پروفایل

استاد

• Software Design and Development
• Health IT
• IT Strategy
• +۵ مورد دیگر

Sean Hansen is a Professor of Management Information Systems (MIS) and Department Chair of MIS, Marketing, & Analytics at Rochester Institute of Technology's (RIT) Saunders College of Business. He holds a PhD from Case Western Reserve University and a BA from Harvard University. Education: BA, Harvard University; PhD, Case Western Reserve University Affiliation: Saunders College of Business, RIT His research spans health IT, software design, and the application of cognitive theory to information systems. He has published extensively in journals like MIS Quarterly, Information Systems Research, and Communications of the ACM, focusing on topics such as ethical implications of algorithmic systems, wearable technology, and sociotechnical design in healthcare. Recent work highlights the role of participatory design in healthcare and the ethical challenges of AI-driven decision-making. He was named an inaugural Endowed Professor at RIT in 2024 and has presented research at conferences including ICIS, HICSS, and AMCIS. Scientific Award: Inaugural Endowed Professor, RIT's Saunders College of Business (2024) Research Trends: Health IT, ethical AI, collaborative software development, wearable tech, and EHR systems Sean's teaching includes courses on systems design, business analytics, and qualitative research methods, emphasizing practical application in complex organizational contexts.

Douglas D. Hodsonمشاهده پروفایل

استاد

• Computer Engineering
• Software Engineering
• Real-Time Distributed Simulation
• +۷ مورد دیگر

Douglas D. Hodson is a Professor of Computer Engineering at the Air Force Institute of Technology (AFIT), Wright-Patterson AFB, Ohio, affiliated with the Department of Systems and Engineering Management within the Graduate School of Engineering and Management. He holds a PhD in Computer Engineering from AFIT (2009), an MBA and MS in Electro-Optics from the University of Dayton, and a BS in Physics from Wright State University. His research focuses on computer engineering, software engineering, real-time distributed simulation, and quantum communications , with a strong emphasis on Quantum Key Distribution (QKD) systems, modeling and simulation (M&S), and Live-Virtual-Constructive (LVC) environments. His work integrates cybersecurity, network performance, and advanced simulation frameworks such as AFSIM and SwarmSim. His recent publications (2021–2022) reflect a trend toward secure distributed systems, AI-driven classification, fog modeling in military simulations, and opinion dynamics in social systems. These works span disciplines including cybersecurity, artificial intelligence, defense modeling, and environmental effects in multi-domain operations. Scientific Awards and Honors: IEEE Senior Member (2021) Outstanding Achievement Award, World Congress in CSCE (2018) SOCHE Faculty Excellence Award (2017) Harold Brown Award (2015) Multiple AFIT Civilian Category III Awards (2014, 2013) Dayton Area Graduate Studies Institute Scholar (2003–2007) Rev. Raymond A. Roesch, S.M., Award of Excellence, University of Dayton MBA (1998) Advising and Grants: Dr. Hodson has advised numerous graduate students, many of whom are co-authors on his publications. His research has been supported by AFIT, AETC, and collaborative defense-focused grants, particularly in quantum communications and simulation technologies. He has led or contributed to teams receiving Air Force Modeling and Simulation Team Awards and QKD Research Team Awards. Labs and Teams: He is a key contributor to the AFIT Quantum Communications and Modeling & Simulation research teams, working on projects involving AFSIM, QKD system modeling, decoy state protocols, and swarm UAV simulation. His lab environment fosters interdisciplinary collaboration in cybersecurity, physics, and software engineering.

Michael McShaneمشاهده پروفایل

استاد

• Finance
• Enterprise Risk Management
• Cyber Risk Management and Insurance
• +۳ مورد دیگر

Dr. Michael McShane is a Professor in the Department of Finance at Old Dominion University's Strome College of Business. His research focuses on Enterprise Risk Management (ERM), Cyber Risk Management and Insurance, and Property-Casualty Insurance. He has secured significant federal and private grants, including a $1.2M Digital Twin project for cyber-insurance evaluation. Education: Ph.D. in Finance, University of Mississippi (2007) M.B.A., Western Kentucky University (2001) B.S. in Electrical Engineering, University of New Mexico (1983) His recent work examines cyberattack impacts on firm value, sustainability reporting efficacy, and flood insurance in climate-vulnerable regions. Key trends include transdisciplinary approaches, cyber-insurance, and parametric insurance solutions for emerging risks. Scientific Awards: EV Williams Fellowship (2019, 2016, 2014) Outstanding Tenured Faculty Teaching Award (2016) Shining Star Award (2018) Highly Commended Award (2015) McShane cofounded the Emergent Risk Initiative (ERI@ODU) in 2009 and is affiliated with ODU's Climate Change and Sea Level Rise Initiative (CCSLRI) and Center for Cybersecurity Education and Research (CCSER). He has advised numerous RMI students and collaborates with organizations like Google Cloud and Rivian Automotive.

Darren Mundyمشاهده پروفایل

استاد

• Educational Technology
• Social media
• eGovernment communications and web-based channel shift
• +۹ مورد دیگر

Darren Mundy is Professor and Dean of the Faculty of Arts, Cultures and Education at the University of Hull, where he has been a faculty member since 2003. He has previously served as Head of School, Associate Principal, and Associate Dean, demonstrating sustained academic leadership. His work is centered in the Department of Screen within the Faculty of Arts, Cultures and Education. University: University of Hull School: Faculty of Arts, Cultures and Education Department: Screen Role: Dean and Professor Darren Mundy’s research focuses on the transformative role of technology in education and digital society. His early work explored engagement-enhancing technologies such as The Wild Thing and PAM-PAM, evolved into designing learning environments through the Euroversity project, and has matured into advancing critical digital literacies via the DETECT project. His interdisciplinary interests span educational technology, social media, eGovernment, information security, privacy, and eHealth. He has played a foundational role in establishing the Games Design program at Hull and has taught across web design, games art, and development for two decades. His recent publications reflect a strong trend in digital representation, technology acceptance models, and digital transformation, particularly in educational and governmental contexts. Articles such as 'An Analysis of Middle Eastern Female Athletes Visual Self-Presentation Strategies on Instagram' and 'Critical digital literacies at school level: A systematic review' highlight his focus on equity, representation, and critical engagement in digital spaces. His work often involves international collaboration and EU-funded initiatives. Darren has received recognition through multiple external examiner roles at institutions including the University of Bedfordshire, Coventry University, Ulster University, and the University of Bolton, underscoring his academic standing. He has led externally funded projects such as 'Who moved my block?' (AHRC) and 'DETECT' (European Commission), demonstrating his ability to secure research support. He has supervised over a dozen postgraduate students to completion, including eight PhDs and four MSc by Research students, and currently supervises a part-time PhD candidate exploring mixed reality applications for dementia care. His advisory work emphasizes real-world impact in technology-enabled learning and digital inclusion. Darren is also co-manager of the EU-funded Euroversity Network, promoting transnational educational collaboration. His leadership extends beyond research and teaching into institutional development and international academic service, making him a key figure in shaping digital education policy and practice.

• Data Stream Management
• Real-time Data Analytics
• Data Quality
• +۷ مورد دیگر

Sandra Geisler is a Junior Professor for Data Stream Management and Analysis at the Department of Computer Science, RWTH Aachen University, a position she has held since September 2021. She is also the leader of the Digital Health Spaces group at the Fraunhofer Institute for Applied Information Technology (FIT) in St. Augustin, reflecting her dual expertise in academic research and applied digital health solutions. Bachelor/Master: Diploma in Computer Science, RWTH Aachen University (2008) PhD: Doctoral degree in Computer Science, RWTH Aachen University (2016) Her research focuses on data stream systems, real-time analytics, data quality, and their applications in digital health and industrial processes. She has made significant contributions to ontology-based data quality management, edge computing for stream processing, and FAIR data principles. Recent work explores the integration of large language models into data management workflows and the development of privacy-preserving platforms for industrial data exchange. Her recent publications demonstrate a strong trend in distributed and edge-based stream processing, interdisciplinary applications in healthcare and supply chains, and the use of AI for data discoverability and quality. Topics include in-network computing, simulation of edge queries, self-tonometry for glaucoma, and cross-company data sharing with privacy awareness. She has served as Associate Editor for the Data & Knowledge Engineering Journal (Elsevier), Public Relation Chair for QDB Workshop (VLDB 2016), and Workshop Chair for IMMoA and HIMoA workshops. She has also edited a special issue on Information Management in Mobile Applications in the Pervasive and Mobile Computing Journal. Geisler has supervised multiple theses on topics including LLM-based ontology integration, edge anomaly detection, and data ecosystem modeling. She has been actively involved in research grants and projects related to industrial data processing, digital health, and sustainable production. She teaches courses such as Data Stream Management and Analysis and Data Ecosystems Lab. She leads the Digital Health Spaces research group at Fraunhofer FIT, focusing on innovative solutions for health data management and patient-centric digital tools. Her work bridges computer science, healthcare, and industrial applications, promoting secure, efficient, and intelligent data ecosystems.

Abdelhak M. Zoubirمشاهده پروفایل

استاد

• Statistical Signal Processing
• Cooperative Sensor Communications
• Radar Imaging
• +۵ مورد دیگر

Abdelhak M. Zoubir is a Professor of Signal Processing and Head of the Signal Processing Group at Technische Universität Darmstadt, Germany. He has held leadership roles including Head of the Department of Electrical Engineering and Information Technology (2012–2014 and 2020–2022), and President of the European Association for Signal Processing (EURASIP, 2017–2018). His research focuses on statistical signal processing with applications in radar imaging, biomedical engineering, and automotive systems. Zoubir has authored over 500 publications and is a Fellow of IEEE and EURASIP. He currently leads projects on radar communication integration, robust signal processing algorithms, and radiation-hardened sensor development. Education: Dipl.-Ing. (BSc/MSc) from Fachhochschule Niederrhein and Ruhr-Universität Bochum, followed by a Dr.-Ing. (PhD) in Electrical Engineering from Ruhr-Universität Bochum (1992). Research Interests: Bootstrap techniques, robust detection/estimation, cooperative sensor networks, radar for landmine detection, and automotive safety systems. He has pioneered methods in robust statistical signal processing, including low-rank matrix completion and sparsity-aware algorithms. Recognition: Recipient of the IEEE Meritorious Service Award (2018), IEEE Signal Processing Magazine Best Paper Award (2017), and the M. Barry Carlton Award (2014). He has been a keynote speaker at major conferences such as ICASSP and EUSIPCO, and served as Editor-in-Chief of the IEEE Signal Processing Magazine (2012–2014). Current Projects: Focus on automotive radar signal processing, radiation-hardened sensors (MALTA), and distributed learning robustness. His work bridges theoretical advancements with practical applications in defense, healthcare, and automotive industries.

Donald E. Brownمشاهده پروفایل

استاد

• Data Fusion
• Knowledge Discovery
• Predictive Modeling
• +۵ مورد دیگر

Donald E. Brown is the W.S. Calcott Professor in the Systems and Information Engineering Department at the University of Virginia, serving as Founding Director of the Data Science Institute and Co-Director of the Translational Health Institute of Virginia. He holds a B.S. from the United States Military Academy (1973), M.S. and M.E. from UC Berkeley (1979), and a Ph.D. from the University of Michigan (1985). His research focuses on data fusion, knowledge discovery, and predictive modeling with applications in healthcare, security, and safety. Dr. Brown leads over 90 federal/state/private research projects, publishes extensively (120+ papers, 2 books), and is a Fellow of the IEEE. He has received prestigious awards including the Norbert Wiener Award and IEEE Millennium Medal. His work bridges academia and industry through Commonwealth Computer Research, Inc., providing data analysis services. He advises on national committees including the National Research Council and the NRC Committee on Transportation Security. His teaching excellence was recognized by students three times as 'best undergraduate teacher' (2001–2003). Research Interests: Data Fusion, Knowledge Discovery, Simulation Optimization, Machine Learning, Predictive Analytics Publications: Focus on healthcare analytics (e.g., Long COVID, tuberculosis, histopathology), AI-driven medical imaging (capsule endoscopy, eosinophil segmentation), and cybersecurity applications. Awards: IEEE Joseph Wohl Career Achievement Award (2017), Governor's Technology Award (1999), Norbert Wiener Award (2002). Grants/Projects: Over 90 funded projects on data science, healthcare tech, and security systems. He leads interdisciplinary initiatives like the iTHRIV Commons for health data sharing and develops AI tools for medical diagnostics at UVA. Current work includes AI in cardiovascular disease prediction, perioperative data digitization for LMICs, and real-time anomaly detection in healthcare systems.

Matthew Moranمشاهده پروفایل

استاد

• International Security
• Conflict Studies
• Weapons of Mass Destruction (WMD)
• +۷ مورد دیگر

Matthew Moran is a Professor of International Security and Head of the Department of War Studies at King’s College London. He leads one of the university's largest departments, overseeing strategic direction and daily operations. Previously held roles include Director of Research in War Studies and Co-Director of the Centre for Science and Security Studies. Education: Undergraduate and Master’s degrees from the University of Galway; PhD from University College London. His research is supported by prestigious organizations including the British Academy, ESRC, Carnegie Corporation, and MacArthur Foundation. Research focuses on: social/political drivers of security events, WMD politics, coercive diplomacy, and open-source intelligence. Key projects include the Centre for Science and Security Studies, Nuclear Security Culture Programme, and Conflict Records Unit. Publications include eight books such as forthcoming Oxford U.P. study on Syrian chemical weapons and Palgrave titles on nuclear verification and open-source intelligence. Over 30 academic articles published in journals like Security Studies and International Affairs . Engagement: Advises governments and international organizations on security policy. Collaborates with foreign ministries through executive education programs. Media contributions include BBC News, The Guardian, and France24. Labs/Initiatives: Co-director of the Centre for Science and Security Studies (CSSS). Active in King's Cybersecurity Centre (EPSRC-NCSC Academic Excellence Centre) and the Conflict Records Unit. Leads Nuclear Security Culture Programme working with global partners.

Kevin Heaslipمشاهده پروفایل

استاد

• Transportation Engineering
• Transportation Technology
• Critical Infrastructure Cybersecurity
• +۱۱ مورد دیگر

Kevin Heaslip is a Professor and Director of the Center for Transportation Research in the Department of Civil and Environmental Engineering at the University of Tennessee, Knoxville. He joined the university in 2022, bringing extensive experience from his prior role as Professor and CACI Faculty Fellow at Virginia Tech. Education: PhD in Civil and Environmental Engineering, University of Massachusetts Amherst, 2007 MS in Civil and Environmental Engineering, Virginia Tech, 2003 BS in Civil and Environmental Engineering, Virginia Tech, 2002 Dr. Heaslip's research focuses on the intersection of transportation engineering, intelligent systems, and cybersecurity. His work spans future transportation concepts such as electrified and automated vehicles, transportation operations including freeway and transit management, and cybersecurity for transportation and critical infrastructure. He applies advanced data analytics, machine learning, and cyber-physical systems modeling to real-world challenges in mobility and national security. The recent articles highlight a strong trend in leveraging big data and artificial intelligence for transportation mode detection, traffic event identification, and security risk assessment. His work increasingly integrates cybersecurity into transportation systems, particularly in autonomous and connected vehicles, reflecting the evolving technological landscape and national priorities in infrastructure protection. Scientific Awards and Recognitions: Virginia Tech G.V. Loganathan Faculty Achievement Award for Excellence in Civil Engineering Education (2019) Virginia Tech Favorite Faculty Award (2017) Outstanding Alumni, University of Massachusetts Institute of Transportation Engineers Student Chapter (2015) Outstanding Young Alumni, Virginia Tech Department of Civil & Environmental Engineering (2013-2014) USU Civil & Environmental Engineering Teacher of the Year (2014) USU Civil & Environmental Engineering Undergraduate Research Mentor of the Year (2013) USU Civil & Environmental Engineering Outstanding Researcher (2011, 2012) USU College of Engineering Undergraduate Research Mentor of the Year (2011) Dr. Heaslip has secured over $25 million in research grants and contracts from federal and state governments as well as industry partners. He has advised numerous students and mentored undergraduate researchers, receiving multiple awards for teaching and mentorship. His professional service includes membership in the American Society of Civil Engineers (ASCE), Institute of Transportation Engineers (ITE), and Transportation Research Board (TRB), as well as serving as an Appointed Member of the Resilient America Roundtable of the National Academy of Sciences from 2014 to 2020. He leads the Center for Transportation Research at UT Knoxville, a multidisciplinary lab focused on advancing transportation technologies and policies. The lab's research is organized around three thrusts: future transportation systems (electrified, connected, and automated vehicles), transportation operations (freeway, transit, and corridor management), and cybersecurity of transportation and critical infrastructure.