Dr. Zeyu YANG is a Research Fellow at iTrust, Singapore University of Technology and Design (SUTD). He holds a Ph.D. in Control Science and Engineering from Zhejiang University (2022). His research focuses on cybersecurity within cyber-physical systems and industrial control systems, addressing vulnerabilities and defense mechanisms in critical infrastructures. Education: Ph.D. in Control Science and Engineering, Zhejiang University, 2022 Research interests include safeguarding industrial control systems against cyber threats, resilient network architectures, and interdisciplinary approaches to system security. His work bridges theoretical frameworks with practical implementations in smart grids and manufacturing automation. Publications: Not listed in available text. Awards: None explicitly mentioned. Advising & Grants: No specific student advisement or grant details provided. Collaborates within iTrust, a research center at SUTD focusing on trustworthy systems. Labs/Teams: Affiliated with iTrust, which specializes in cybersecurity, trustworthy AI, and IoT systems.
James Agutter is an Associate Professor at the University of Utah's School of Architecture, with research focusing on information visualization in healthcare and cybersecurity. He serves as Director of the Spark Design Initiative and Bachelor of University Studies. His work has produced patents in medical device design and software tools like eSNAP and HAIL-CAT. University of Utah, School of Architecture (2016–present) Research Assistant Professor (2000–2011) Director roles in design programs and undergraduate studies Research interests span healthcare systems, design informatics, and technology solutions for clinical environments. Key publications explore aging in pandemic contexts, ICU alarm management, and infusion pump interfaces. Awards include the 2016 Distinguished Innovation and Impact Award and 2014 Beacon of Excellence. 2024: Pandemic adaptations in aging environments 2023: eSNAP caregiver support tool 2021: Anesthesia pharmacology visualization 2018–2011: ICU display design, wearable clinical aids Scientific honors include: 2005 Creative Achievement Award (ACSA) 2005 AIA Top Ten Research Program 2016 University of Utah Distinguished Innovation Award
Professor Arunabha Sen is a faculty member at Arizona State University (ASU), affiliated with the School of Computing and Augmented Intelligence and the College of Health Solutions as a Health Solutions Ambassador. He joined ASU in 1987 and holds a Ph.D. in Computer Science from the University of South Carolina (1987). His research focuses on resource optimization in telecommunication networks, VLSI circuits, hardware-software co-design, and network security. Key areas include algorithm design, combinatorial optimization, and network processor systems. His work spans wireless, optical, and sensor networks, with contributions to video transmission over mobile ad-hoc networks and interference-aware channel assignment. Notable projects include robust network design against WMD attacks and tools for resilient communication networks. He has served on multiple technical committees for conferences like IEEE and IFIP, and contributed to academic initiatives such as capstone courses on network processors. Grants include NSF, DOD-DTRA, and Motorola Labs funding, emphasizing interdisciplinary research in network science and communications. Teaching responsibilities include courses on algorithms, game theory, and network design. His service roles include Associate Editor for IEEE Transactions on Mobile Computing and leadership in graduate program committees. Research outputs include over 30 peer-reviewed publications, with recent work in algorithmic network design and social computing data mining.
Stephen Taylor is a Professor of Computer Engineering at Dartmouth College's Thayer School of Engineering. His research focuses on cybersecurity, distributed computing, and embedded systems security. He has held leadership roles including DARPA Program Manager and Air Force Research Laboratory IPA. Taylor's work includes foundational contributions to the National Cyber Range and Air Force Cyber Experimentation Environment. Education: BSc in Computer Systems from Essex University (1982), MSc in Computer Science from Columbia University (1985), and PhD in Computer Science from the Weizmann Institute (1989). Research emphasizes resilient operating systems for cloud computing, security mechanisms for embedded systems, and large-scale experimentation infrastructure. Awards include the USAF Exemplary Civilian Service Medal and Secretary of Defense Medal for Public Service. Teaches courses on microprocessors, software design, and cyberspace technology. Advises on multi-disciplinary projects and has authored 4 books and over 25 journal articles. His lab explores hardware-software co-design for cyber resilience and soil-based sustainable computing.
Andreas Quednau is a full-time university professor of urban design at Leibniz University Hannover (since 2015), affiliated with the Institute for Design and Urban Planning under the Faculty of Architecture and Landscape. His academic career includes previous roles as full professor at the State Academy of Fine Arts Stuttgart (2009–2015) and research associate at TU Berlin (2005–2009/2008–2009). He co-founded SMAQ (Sabine Müller & Andreas Quednau), an architecture and urban design practice based in Berlin since 2005. Education: Diploma in Architecture (TU Berlin), Master's with Distinction in Advanced Architectural Design (Columbia University) Professional Experience: SMAQ (2001–present), Diller Scofidio + Renfro (NYC), KCAP (Rotterdam), Arata Isozaki (Berlin) Research focuses on molecular urbanism, climate-responsive design, sustainable infrastructure, and narrative-driven urban strategies. Notable projects include the Xeritown masterplan in Dubai and the Charter of Dubai manifesto. His work explores intersections between ecology, technology, and cultural narratives in urban systems. Key awards include the Holcim Award for Sustainable Construction and Architectural Review Award for Emerging Architects. His theoretical contributions are showcased in books like Charter of Dubai (2012) and Giraffes, Telegraphes, and Hero of Alexandria (2016). Teaching and research emphasize: Integration of design, ecology, and technology Critical urban transformation in global contexts Climate-adaptive urban systems Labs/Teams: SMAQ practice integrates academic research with professional projects, focusing on urban design innovations that balance ecological imperatives with cultural narratives.
Liping Wang is a Professor in the Department of Civil and Architectural Engineering at the University of Wyoming, part of the College of Engineering and Physical Sciences. She also serves as the Director of the Center for Controlled Environment Agriculture, highlighting her leadership in sustainable building and agricultural systems. Her work bridges engineering, energy efficiency, and environmental resilience. Academic Background: B.S., Xi’an University of Architecture and Technology, China M.S., Xi’an University of Architecture and Technology, China Ph.D., National University of Singapore Her research interests focus on building performance modeling, fault detection and diagnosis for HVAC systems, energy efficiency in indoor agriculture, and the development of resource-efficient and resilient future communities. She applies data-driven and adaptive modeling techniques to enhance building energy systems and indoor environmental quality. The analysis of her recent publications reveals a strong trend toward intelligent building systems, with recurring use of machine learning (e.g., Gaussian mixture models, particle swarm optimization) for HVAC modeling, fault detection, and energy optimization. Her work increasingly integrates controlled environment agriculture, reflecting a shift toward sustainable food-energy-water nexus solutions. Topics span from fundamental thermodynamics to applied field evaluations of ASHRAE standards. Scientific Awards: NSF CAREER Award (1944823), National Science Foundation, 2019 Appreciation Award, Advisor of ASHRAE Student Branch, University of Wyoming, 2019 Liping Wang has secured competitive research funding, notably the NSF CAREER Award, and mentors students through research and professional engagement. She actively contributes to the academic community as an Associate Editor of the International Journal of Sustainable Energy Technologies and Assessments and a guest editor for Energy and Buildings . Her work involves interdisciplinary collaboration, with co-authors from diverse engineering and environmental science backgrounds. She has served as an ad hoc reviewer for top journals including Building and Environment , Energy and Buildings , and Applied Energy . She leads the Center for Controlled Environment Agriculture, which likely involves a research team focused on energy-efficient indoor farming technologies, greenhouse modeling, and sustainable building-agriculture integration. Her lab appears to utilize low-cost sensor systems (e.g., Arduino-based platforms) for real-time monitoring of environmental conditions.
Associate Professor Ben Matthews is affiliated with The University of Queensland (UQ), holding positions in the School of Electrical Engineering and Computer Science (Faculty of Engineering, Architecture and Information Technology) and as an Affiliate of the Centre for Communication and Social Change (Faculty of Humanities, Arts and Social Sciences). He leads research in design processes focusing on collaborative and participatory methodologies, with expertise in healthcare technology, educational tools, and community resilience. Education: BEng (Hons) and PhD from UQ. His research spans three core domains: designing advocacy for marginalized groups, participatory design materials, and augmenting professional expertise through technology. Key projects include designing for mental health stakeholders, wearable displays in healthcare, and bushfire resilience frameworks. Research Interests: Interaction design, participatory design, technology ethics, and human-centered innovation. His work emphasizes inclusive design processes that amplify user agency in technology development. Recent studies include VR analytics for mental health, energy use transparency, and emergency medical AR systems. Grants: Current funding includes ARC projects on AI-driven recruitment and trauma patient pathways. Past grants involve wearable tech for high-tempo work and passport processing research. Over 100 publications span journals like International Journal of Human-Computer Studies and conferences such as OzChi. Advising: Supervises PhD candidates on topics ranging from augmented reality in education to language learning applications. Collaborates with interdisciplinary teams across healthcare, education, and urban planning.
Ethan Katz-Bassett is an Associate Professor in the Electrical Engineering Department at Columbia University, with an affiliation in the Computer Science Department. He is also a member of the Computer Engineering Program and the Data Science Institute's Sense, Collect and Move Data Center. Previously, he held the Andrew and Erna Viterbi Early Career Chair at the University of Southern California, where he led a networking and systems research group. His research focuses on improving the reliability and performance of Internet services through measurement-driven system design, with a focus on networks, distributed systems, and cloud infrastructure. Affiliations: Columbia University (Current), University of Southern California (Former) Key Projects: Edge Fabric (Facebook), Sibyl (Route Oracle), PoiRoot (Route Change Analysis), Odin (Microsoft CDN) His research interests include Internet measurement, routing optimization, content delivery networks (CDNs), TCP performance, and mobile web performance. He has pioneered tools like PEERING, a BGP testbed for scalable experiments, and developed systems such as LIFEGUARD for network failure detection. His work often bridges academia and industry, with collaborations at Google, Microsoft, and Facebook. Ethan has received numerous awards, including the SIGCOMM Rising Star Award (2019), IETF Applied Networking Research Prize (2019), and NSF CAREER Award (2014). His funding includes grants from Google, Facebook, Comcast, and the NSF. He holds a Ph.D. from the University of Washington, advised by Tom Anderson and Arvind Krishnamurthy. Grants and Labs: Works with the M-Lab, RIPE Atlas, and SpeedChecker platforms. Current funding includes Google Faculty Awards, an M-Lab grant, and NSF support.
Wim Dehaene is a Full Professor at KU Leuven's Department of Electrical Engineering (ESAT), Faculty of Engineering Science. His research focuses on advanced digital circuit design, in-memory computing, and biomedical applications. He leads projects like Variability Resilient Design of In-Memory Compute Architectures and DECIBUS: Communication in the Body by Ultrasound . Member of MICAS (Micro Electronics and Sensors) division Head of Electronic Circuits and Systems (ECS) group Active in interdisciplinary education and curriculum development His work bridges flexible electronics, low-voltage design, and AI accelerators, with recent publications on neural network hardware and biomedical wearables. Collaborations span institutions like IEEE and projects involving RISC-V controllers and IGZO TFT-based SRAM. Teaching roles include courses on digital integrated circuits, biomedical measurements, and interdisciplinary design methodologies. He contributes to research training in biomedical technology and participates in IEEE conferences as organizer and speaker.
Marta Catillo is a Researcher at the Department of Engineering (DING) of the University of Sannio (UNISANNIO) . She specializes in Cybersecurity , with focus on Machine Learning applications for intrusion detection , IoT security , and cloud auto-scaling mechanisms . Her research addresses challenges in Denial of Service (DoS) mitigation , anomaly detection , and deep learning architectures for security. Teaching: [803004] PROGRAMMING 1 for Electronic and Biomedical Engineering students (2025 cohort) Contact: Office hours: Thursdays 3-5 PM, Room 23, Bosco Lucarelli Palace Research trends: From 2019-2025 publications, her work spans adversarial attack resistance , collective anomaly detection , outlier-aware architectures , and empirical analysis of defense mechanisms , with recurring collaborations with Antonio Pecchia , Umberto Villano , and Massimiliano Rak . Key methodologies include deep autoencoders , hybrid detection systems , and measurement-based security evaluation . Technical Contributions: Developed the ZED-IDS framework for zero-day threat detection, MultiCIDS for multivariate time series intrusion detection, and DEFEDGE for edge-cloud security testing.
Samuel Thibault is a Professor at University of Bordeaux, affiliated with Laboratoire Bordelais de Recherche en Informatique (LaBRI) and Inria Bordeaux -- Sud-Ouest. He is a member of the SATANAS team at LaBRI (theme: High Performance Runtime Systems for Parallel Architectures) and the STORM research team at Inria Bordeaux (previously RunTime). His work bridges academic research and practical implementation of high-performance computing systems. Thibault's research focuses on task-based runtime systems, particularly StarPU, for heterogeneous and parallel computing architectures. His work addresses critical challenges in scheduling algorithms, memory management under constraints, data locality optimization, and performance modeling for complex NUMA architectures. He has made significant contributions to the field of parallel computing through the development and analysis of runtime systems that efficiently manage tasks across diverse hardware resources including CPUs, GPUs, and other accelerators. His research has practical applications in scientific computing, deep learning inference, and large-scale simulations requiring extreme computing power. His recent publication trends show a strong emphasis on optimizing task-based runtime systems for heterogeneous architectures with particular attention to memory constraints and data locality. There's a clear progression toward applying these techniques to deep learning inference workloads, as evidenced by his StarONNX project. His work consistently addresses the challenge of balancing throughput and latency in complex computing environments, with increasing focus on recursive task graphs and dynamic adaptation strategies. Thibault is actively involved in European research initiatives including TEXTAROSSA (focusing on exascale technologies) and EXA2PRO (high development productivity on heterogeneous systems). His work has been published consistently in top-tier conferences and journals in parallel and distributed computing. As part of the STORM team at Inria Bordeaux, Thibault contributes to advancing the state of the art in runtime systems for high-performance computing. His team's work on StarPU has become a reference implementation in the field, enabling researchers and practitioners to develop applications that can efficiently utilize heterogeneous computing resources without needing to manage the complexity of different hardware architectures directly.
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.
Professor Georgi Dimitrov Mengov serves as a full-time faculty member at the Faculty of Economics, Sofia University "St. Kliment Ohridski" since 2005, heading the Center for Modeling Socioeconomic Systems. His interdisciplinary work bridges computational neuroscience and economic decision-making through affiliations including the editorial board of the International Journal of Neural Networks and Advanced Applications and advisory roles at Swiss Innovation Valley. His research focuses on human-oriented decision science , examining neural correlates of economic choices, emotional memory dynamics, and socioeconomic forecasting. Mengov develops computational models predicting intuitive economic behavior using neural network architectures, with particular emphasis on Behavioral economics and risk analysis Neurocomputational modeling of social systems Mathematical-psychological frameworks for decision processes His publication trends reveal consistent interdisciplinary integration: neural network methodologies applied to socioeconomic problems (2006-2018), behavioral economics of digital networks (2021-2025), and foundational work in human decision theory through monographs like Decision Science: A Human-Oriented Perspective (Springer, 2015). Recent work increasingly addresses turbulent economic environments and virtual social networking impacts. Scientific contributions include editorial leadership for major journals and program committee participation in the International Joint Conference on Neural Networks (2013-2019). Notable recognitions include ORCID registration (0000-0001-8157-3246) and ResearchGate profile. As academic advisor and center director, Mengov mentors emerging researchers while leading projects on socioeconomic modeling. His work demonstrates strong integration of theoretical neuroscience with practical economic applications, securing consistent publication output in high-impact journals including Neural Networks and Journal of Behavioral and Experimental Economics . Mengov maintains active research laboratories focused on neuroeconomic modeling and socioeconomic forecasting, with recent work exploring fractal social structures and virtual network economics. Current projects examine motivation dynamics in turbulent economic environments through the ACCESS Press publications.
Ashkan Yousefpour is a Computer Scientist with a PhD from the University of Texas at Dallas , where he contributed to the FLOW project. He served as a Lecturer and research assistant at UT Dallas, while also working as a Visiting Researcher at UC Berkeley . His research spans Fog/Edge Computing , Federated Learning , Reinforcement Learning , and Distributed Systems . Current Role: AI Scientist at Meta Academic Affiliation: Department of Computer Science, University of Texas at Dallas Research Interests include: Minimizing IoT service delay through fog offloading Developing failure-resilient distributed neural networks (ResiliNet) Advancing privacy-preserving machine learning (Opacus, Papaya) Optimizing traffic flow with autonomous vehicles via reinforcement learning Advising : Supervised multiple graduate students including Ashish Patil , Harshavardhan Nalajala , and Brian Nguyen . Collaborated with researchers like Professor Alexandre Bayen (UC Berkeley) and Professor Cathy Wu (MIT) on traffic control frameworks such as Flow .
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.
