جست‌وجوی استاد و پژوهشگر

Lina Gyllencreutzمشاهده پروفایل

دانشیار

• Emergency Medicine
• Disaster Preparedness
• Mass Casualty Incidents
• +۵ مورد دیگر

Lina Gyllencreutz is an Associate Professor at Umeå University's Department of Nursing in Örnsköldsvik. Her research focuses on emergency medicine, disaster preparedness, and prehospital care, with particular emphasis on mass casualty incidents, chemical incidents, and tunnel safety protocols. She actively contributes to interdisciplinary emergency training programs and has published extensively on simulation-based learning and first responder decision-making. Research Interests: Dr. Gyllencreutz specializes in Emergency medical response Disaster preparedness Mass casualty incident management Chemical incident protocols Tunnel safety training Simulation-based education Publications Trends (2023-2025): Recent work demonstrates a strong focus on improving first responder capabilities through technology-enhanced training, developing assessment tools for disaster preparedness, and analyzing multi-agency collaboration in complex emergency scenarios. Key themes include tunnel incident decision-making, chemical incident response, and mixed reality training applications. Collaborative Networks: Dr. Gyllencreutz regularly collaborates with Umeå University's Department of Diagnostics and Intervention, Center of Disaster Medicine, and international researchers from institutions like Oslo University and Australian safety organizations.

Qi Zhangمشاهده پروفایل

استادیار

• Artificial Intelligence
• Reinforcement Learning
• Trustworthy AI Systems
• +۴ مورد دیگر

Qi Zhang is an Assistant Professor in the Department of Computer Science and Engineering, AI Institute at the Molinaroli College of Engineering and Computing, University of South Carolina. His research focuses on developing safe, reliable, and trustworthy AI systems through advancements in reinforcement learning and decision-making algorithms for uncertain environments. He holds a Ph.D. from the University of Michigan (2020) and a B.E. from Shanghai Jiao Tong University (2015). Research interests include artificial intelligence, reinforcement learning, multi-agent systems, and decision-making under uncertainty. Key themes involve leveraging domain knowledge for robust AI solutions and ensuring ethical, transparent, and risk-aware system designs. His work spans applications in autonomous systems, healthcare, robotics, and materials science. Current projects emphasize improving algorithmic trustworthiness, safety, and adaptability across diverse contexts. He is affiliated with the AI Institute at USC and maintains an active research lab focused on these areas.

Deepak GCمشاهده پروفایل

مدرس ارشد

• Cyber Security
• Digital Forensics
• Wireless Communication
• +۷ مورد دیگر

Dr. Deepak GC is a Senior Lecturer in Cyber Security and Digital Forensics at Kingston University's School of Computer Science and Mathematics, Department of Networks and Digital Media. He holds a PhD in Wireless Communication Systems from Lancaster University, an MEng in Wireless Networks from Chonbuk National University, and a BEng in Electronics and Communication from Pokhara University. His research focuses on physical layer security , radio access technologies , 5G and beyond networks , spectrum sensing , IoT protocols , drone communications , and blockchain technologies . Recent work includes UAV-assisted networks for disaster resilience, energy-efficient IoT frameworks, and blockchain applications for network security. Dr. GC has participated in EU FP7 S3isE, EU H2020 Wi-5, and UK EPSRC DARE projects. He contributes to academic governance as a representative on Kingston's Faculty Research Degree Committee and University Data Champion. Cisco Certification Fellow of Higher Education Academy He actively supervises PhD students in cybersecurity and wireless technologies and teaches modules including Threat Hunting, Cyber Crime, and Digital Forensics.

Mark Stockmanمشاهده پروفایل

دانشیار

• Cybersecurity
• Cloud Computing
• Virtualization
• +۶ مورد دیگر

Mark A. Stockman is an Associate Professor at the University of Cincinnati, specializing in cybersecurity, cloud computing, and system administration. He holds a BS in Industrial and Systems Engineering from Ohio University's Russ College of Engineering and Technology (1992) and an MBA in Management from Ohio University's College of Business (1994). His research focuses on integrating social science principles into cybersecurity education, developing cloud-based educational infrastructure, and analyzing cybercrime prevention strategies. Notable contributions include pioneering work on honeynet systems for hacker behavior analysis and organizational cybersecurity victimology frameworks. Stockman has published extensively on topics like insider threat mitigation, IT curriculum design, and virtualization technologies. His work bridges technical cybersecurity practices with organizational risk management, emphasizing interdisciplinary approaches to modern IT challenges. He has advised on multiple educational initiatives including cloud lab development and remote-access systems for computing disciplines. His publications reflect a commitment to advancing both technical and pedagogical innovations in information technology.

Alan Tsangمشاهده پروفایل

استادیار

• Artificial Intelligence
• Multi-agent Systems
• Game Theory
• +۷ مورد دیگر

Alan Tsang is an Assistant Professor at Carleton University's School of Computer Science. He specializes in Multi-agent Systems and Computational Social Choice, focusing on strategic interactions in social networks. Previously, he was a Post-Doctoral Researcher at the National University of Singapore and earned his PhD from the Cheriton School of Computer Science at the University of Waterloo under Dr. Kate Larson. His research integrates game theory and agent-based simulations to address fairness, voting mechanisms, and social network dynamics. He is affiliated with Carleton's Institute for Data Science and the Department of Human-Computer Interaction (HCI), and serves as Information Officer of ACM SIGAI. His educational background includes a Master of Mathematics in Graph Theory and a Bachelor of Mathematics in Bioinformatics, both from the University of Waterloo. His work explores interdisciplinary applications, such as modeling pandemic impacts and ethical computing challenges. He teaches courses like Multiagent Systems and Computing, Society, and Ethics, and actively mentors students in graduate and undergraduate research programs. Key research areas include algorithmic fairness, social choice mechanisms, and agent-based modeling of societal systems. He leads the Games, Agents, and Incentives Workshop and collaborates on projects analyzing voting behavior in homophilic networks and fair allocation strategies.

• Cybersecurity
• Privacy Engineering
• Usable Security
• +۳ مورد دیگر

Tara Whalen is an Adjunct Professor at the School of Computer Science, Carleton University. Her research focuses on cybersecurity, privacy engineering, usable security mechanisms, and information control systems. She has contributed to studies on password security, authentication alternatives to CAPTCHA, and mobile device privacy challenges. Her work bridges technical security practices with human factors, emphasizing how security systems interact with end-users. Notable projects include breach alerting services and empirical studies on browser security interfaces. She has published extensively since 2003, with recent work addressing modern challenges in password management and privacy-by-design frameworks. No academic awards or grants are listed, though her publications indicate active collaboration in computer security research. She maintains an affiliation with Carleton's Herzberg Laboratories and can be reached at tjwhalen@gmail.com.

Ralph Detersمشاهده پروفایل

استاد

• Multi-Agent Systems
• Scalability & Dependability of Distributed Systems
• Mobile & Ubiquitous Computing
• +۴ مورد دیگر

Ralph Deters is a Professor in the Department of Computer Science at the University of Saskatchewan , where he co-leads the MADMUC (Multi-Agent Distributed Mobile and Ubiquitous Computing) Lab . He has taught courses including CMPT 298, CMPT 350, CMPT 436, CMPT 842, and CMPT 898, and served as co-coordinator for CMPT 400/CMPT 405. Education Ph.D. in Computer Science, Federal Armed Forces University Munich (1998) MS (Diploma) in Computer Science, Technical University Berlin (1992) BS in Computer Science, Technical University Berlin (1988) Research Interests focus on multi-agent systems , scalable distributed systems , mobile/ubiquitous computing , and privacy-preserving technologies . Current lab projects include: Middleware infrastructures for decentralized systems (cloud/fog/mobile) Social software for sustainable user collaboration Decentralized trust-based data storage Persuasive technologies for health, physical activity, and learning Ethical AI and dark patterns in UI design Blockchain applications in IoT and access control Publications highlight trends in digital twins , blockchain integration , synthetic data for privacy , and machine learning for social impact , with recent work spanning health analytics, agricultural AI, and smart city applications. Lab Impact : The MADMUC Lab, established in 2000 with a $895,687 CFI grant, has graduated 120 researchers (17 PhD, 103 MSc), including two Vanier Scholars. The lab emphasizes awards, scholarships, and interdisciplinary collaboration with 152 total alumni.

Maha Shaikhمشاهده پروفایل

دانشیار

• Open Source Software
• Public Sector Digital Transformation
• Information Systems Governance
• +۳ مورد دیگر

Maha Shaikh is an Associate Professor at the Department of Operations, Innovation and Data Sciences within Esade Business School , Ramon Llull University. She holds an ORCID identifier 0000-0001-5110-1619 and maintains an active research agenda across multiple domains of information systems and open technology.

• Control Systems
• Real-Time Systems
• Cloud Computing
• +۳ مورد دیگر

Anton Cervin is a Senior Lecturer (on Leave of Absence) at the Department of Automatic Control, Lund University. He is affiliated with the LTH Profile Area: AI and Digitalization. His roles include Director of First and Second Cycle Studies, Deputy Head of the Department (2019–2022), and Director of the China Profile at LTH (2008–2012). Research focuses on real-time systems, control over cloud platforms, event-based control, and cyber-physical systems. Key projects include the Swedish Research Council-funded 'Event-Based Control of Stochastic Systems' and WASP-supported 'Event-Based Information Fusion for Self-Adaptive Cloud'. Developed software tools: TrueTime (real-time simulator), JitterTime, Jitterbug, and TinyRealTime. Recognized with multiple Best Paper Awards at ECRTS, RTNS, and RTCSA conferences. Supervised over 5 PhD students in real-time control and embedded systems. Teaching includes advanced courses on automatic control, systems engineering, and real-time systems. His work aligns with UN SDG 9 (Industry, Innovation, and Infrastructure) through contributions to smart infrastructure and cloud-based control systems.

Jonathan Fosterمشاهده پروفایل

مدرس ارشد

• Information Governance
• Data Ethics
• Digital Economy
• +۳ مورد دیگر

Dr Jonathan Foster is a Senior Lecturer in Information Management at the University of Sheffield's Information School. He holds a PhD in Information Studies (Social Sciences) from the University of Sheffield, alongside degrees in Information Systems and Education. His research focuses on information governance, ethics, data sharing, and digital economy dynamics. He leads the IKIM Research Group and has secured significant grants from AHRC, EPSRC, and Wellcome Trust, including projects on AI ethics and cybersecurity narratives. He has supervised numerous PhD students and contributed to curriculum development in information governance and digital economy. Notable awards include the 2018 Teaching Excellence Award for his Deliberation Days initiative. Education: BA, MSc (Brunel), M.Ed. (Sheffield), PhD (Sheffield). Research interests emphasize governance frameworks for data-driven AI, accountability in digital ecosystems, and ethical dimensions of data sharing. His publications span information science journals and edited volumes on collaborative information behavior. He has held roles such as Programme Coordinator for MSc Information Management and Sub-Dean for Undergraduate Affairs. Current grants include AHRC-funded work on mental health AI fairness and ESRC-funded cybersecurity narrative research. Teaching contributions include pioneering modules on information governance and digital economy, reflecting his research-led approach. His work bridges academic research with practical applications in enterprise and public health.

Chanaka Jayawardhenaمشاهده پروفایل

استاد

• Digital Marketing
• Consumer Behavior
• E-commerce
• +۵ مورد دیگر

Professor Chanaka Jayawardhena is a Professor of Marketing and Head of the Department of Marketing at the University of Surrey's Surrey Business School. He previously held academic roles at the University of Hull, Loughborough University, De Montfort University, and the University of Moratuwa in Sri Lanka. His research focuses on virtual marketplaces, digital technology's impact on consumer behavior, and organizational strategies for enhancing customer experiences through AI, AR, and digital platforms. He actively supervises PhD students and teaches across various levels, emphasizing practical insights and real-world applications. His work bridges academic rigor and industry relevance, with recent publications exploring eWOM 2.0, sharing economy externalities, and consumer-brand relationships via avatars. Research interests include digital media engagement, service robots' societal impacts, and strategies for leveraging technology in marketing. His publications reflect a strong focus on consumer interaction dynamics, with notable contributions to understanding electronic word-of-mouth evolution, regulatory challenges in sharing economies, and avatar-based brand strategies. Teaching philosophy emphasizes adaptability to student needs and integration of research into pedagogy. Roles: Chair in Marketing, Member of Senior Management Team Research Themes: Virtual Marketplaces, Digital Consumption, Technology-Driven Strategies Key Publications: Over 50 peer-reviewed articles since 2001, with recent emphasis on digital marketing and consumer behavior. Supervision involves mentoring PhD candidates on topics aligned with his research areas, fostering academic innovation and industry collaboration.

Thomas Bifanoمشاهده پروفایل

استاد

• Photonics
• MEMS (Microelectromechanical Systems)
• Adaptive Optics
• +۴ مورد دیگر

Dr. Thomas Bifano is a Professor of Mechanical Engineering and Director of the Boston University Photonics Center. He holds affiliations with the Biomedical Engineering, Materials Science & Engineering, and Electrical & Computer Engineering departments. His research focuses on MEMS technologies, adaptive optics, and biomedical imaging applications. Dr. Bifano leads interdisciplinary initiatives in photonics, including commercialization of deformable mirrors via Boston Micromachines Corporation. He directs the Neurophotonics Research Training Grant and participates in the NSF Engineering Research Center on Cellular Metamaterials (CELL MET). His lab develops optical instruments for microscopy and telescope instrumentation, emphasizing light control through deformable mirrors. Recent work includes engineered heart tissue studies and high-throughput cardiac tissue screening. Education: PhD from North Carolina State University. Key Roles: Former Chair of the Manufacturing Engineering Department (1999-2006). Affiliations: Photonics & Optical Systems, Neuroscience & Neuroengineering. Grants & Collaborations: NSF CELL MET, BU Photonics Center innovation programs. Facilities: Manages state-of-the-art shared labs and a business innovation center at the Photonics Center.

• Distributed Computing
• Distributed Algorithms
• Fault-Tolerance
• +۸ مورد دیگر

Marina Papatriantafilou is an Associate Professor in the Department of Computer Science and Engineering at Chalmers University of Technology and University of Gothenburg. Her research focuses on distributed computing, fault-tolerance, parallel algorithms, and concurrency control. She has contributed to methods for fault-tolerant distributed systems, visualization tools for distributed algorithms, and scalable overlay networks. Her academic roles include teaching advanced courses on distributed systems, computer communication, and operating systems. She advises graduate students in areas like distributed algorithms and parallel computing. Key research interests include lock-free synchronization, memory reclamation, and self-stabilizing systems. She has authored over 100 publications in top-tier conferences and journals, with recent work on data streaming frameworks, energy-sharing optimization, and vehicular network processing. Professional involvement includes roles in program committees for conferences like OPODIS, SWAT, and SSS, plus membership in research evaluation boards for Swedish and European funding agencies. She pioneered educational tools like the Lydian environment for distributed algorithm visualization.

• Distributed/Parallel Computing
• Information Visualization
• Fault-Tolerant Communication Mechanisms
• +۴ مورد دیگر

Philippas Tsigas is a Professor at the Department of Computer Science and Engineering at Chalmers University of Technology. He leads the Distributed Computing and Systems Research Group and has held roles as co-leader of research initiatives such as the PEPPHER project. His research spans distributed/parallel computing, information visualization, and fault-tolerant communication mechanisms. He has supervised numerous PhD students, including Yi Zhang, Håkan Sundell, and Farnaz Moradi. Research interests include lock-free data structures, multicore algorithms, secure network services, and visualization tools like Lydian and DataMeadow. Notable awards include Best Paper Awards at IPDPS 2003 and SNS 2012. His work has been published in top venues like IEEE Transactions on Parallel and Distributed Systems and ACM Journal of Experimental Algorithmics. Awards highlight contributions to lock-free algorithms and network modeling. Students have contributed to projects like NBmalloc (memory reclamation) and GPU Quicksort. Collaborations with institutions like SSF and VR have supported his research. Tsigas is also involved in teaching distributed systems and mentoring early-career researchers.

Adam Leeمشاهده پروفایل

استاد

• Computer Security
• Privacy
• Distributed Systems
• +۵ مورد دیگر

Adam J. Lee is a Professor of Computer Science and Vice Provost for Undergraduate Studies at the University of Pittsburgh's School of Computing and Information. He holds a PhD (2008) and MS (2005) from the University of Illinois at Urbana-Champaign, and a BS (2003) from Cornell University. His research bridges computer security, privacy, and distributed systems, focusing on systems that enable secure cross-domain interactions while preserving user privacy. Notable work includes studies on IoT privacy, cryptographic access control, and user perceptions of privacy in smart environments. Education: PhD in Computer Science, University of Illinois at Urbana-Champaign, 2008 MS in Computer Science, University of Illinois at Urbana-Champaign, 2005 BS in Computer Science, Cornell University, 2003 Research Interests: Explores secure distributed systems, privacy-preserving technologies, and user-centric design for IoT. Recent efforts include tangible privacy controls for smart devices, context-aware messaging agents, and formal analysis of cryptographic enforcement architectures. Supported by NSF and DARPA grants, including an NSF CAREER Award in 2013. Recent Work: Focuses on balancing utility and privacy in sensing systems, with contributions in ephemeral communication, auto-response agents, and privacy-aware smart voice assistants. Recent studies address user perceptions of temporal data redaction and trusted platforms. Awards: NSF Career Award (2013) ACM CSCW 2022 Best Paper ACM DIS 2022 Best Paper Advising & Grants: Advises PhD students in privacy and security research. Active in grant-funded projects on access control, cloud security, and health technology interventions. Collaborates with the Institute for Cyber Law, Policy, and Security on policy-relevant cybersecurity issues. Teaching: Courses include Discrete Structures for Computer Science and Computer and Network Security , emphasizing foundational theory and practical applications. Known for curriculum development in privacy-aware systems and ethical computing practices.