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Massimiliano AlbaneseView profile

Professor

• Information Security
• Network Security
• Cyber Attack Modeling
• +6 more

Massimiliano Albanese is a Professor and Associate Chair for Research in the Department of Information Sciences and Technology at George Mason University. He serves as the Executive Director of the Institute for Digital Innovation (IDIA) and Director of the Center for Infrastructure Security in the Era of AI (ISEAI). Previously, he was the Associate Director of the Center for Secure Information Systems (CSIS). Dr. Albanese earned his PhD and MS in Computer Science and Engineering from the University of Naples Federico II. After completing a postdoctoral position at the University of Maryland, College Park, he joined George Mason University in 2011. His primary research focuses on Information and Network Security, with particular emphasis on Modeling and Detection of Cyber Attacks, Cyber Situational Awareness, Network Hardening, Moving Target Defense, Configuration Security, and Vulnerability Metrics. His recent work has expanded into election security, AI-enhanced cybersecurity, and vulnerability scoring frameworks. He has developed innovative approaches to cyber defense that integrate machine learning, game theory, and formal modeling techniques. Dr. Albanese's publication record shows a clear evolution from foundational work in moving target defense and attack modeling toward more applied research in vulnerability metrics, election security, and AI-assisted cyber defense. His recent publications demonstrate growing interest in practical security implementations, election infrastructure protection, and the intersection of AI with cybersecurity. 2014 Mason Emerging Researcher/Scholar/Creator Award Best Paper Award at IEEE CNS 2020 for SCIBORG Best Paper Award at SECRYPT 2018 Best Paper Runner-up Award at IEEE CNS 2015 Dr. Albanese has participated in 33 sponsored projects totaling $13.1M, with a personal share of $3.5M. His research has been funded by prestigious organizations including the National Science Foundation, Department of Defense, National Security Agency, and Virginia Innovation Partnership Authority. He has served as Principal Investigator on 18 projects, demonstrating strong leadership in securing research funding. His current projects focus on election security, cybersecurity scholarships, and AI-enhanced threat detection. Dr. Albanese leads multiple research centers and initiatives, including the Center for Infrastructure Security in the Era of AI. His work bridges academic research with practical applications, particularly in securing election systems and developing frameworks for vulnerability assessment. He actively collaborates with government agencies and industry partners to translate research into real-world security solutions.

Errin W. FulpView profile

Professor

• Computer Security
• Network Security
• Cyber Threat Intelligence
• +5 more

Dr. Errin W. Fulp is a Professor in the Department of Computer Science at Wake Forest University's College of Arts and Sciences. He earned his PhD in Computer and Electrical Engineering from North Carolina State University in 1999. His professional experience includes roles as a Research Scientist at Pacific Northwest National Laboratory (PNNL) and Cisco Systems, and he currently serves as Scholar in Residence at Centripetal Networks. Dr. Fulp's research focuses on intelligence-driven approaches to computer security and the development of resilient, dynamically managed computer networks. His work leverages Cyber Threat Intelligence (CTI) to enhance situational awareness and inform proactive defense strategies. He investigates nature-inspired design principles such as genetic algorithms for optimizing defense strategies, ant colony optimization for dynamic resource allocation, and AI agency for autonomous decision-making in threat detection and mitigation. Analysis of Dr. Fulp's recent publications reveals a strong focus on evolutionary approaches to security challenges, particularly in moving target defense, network segmentation, and threat intelligence analysis. His work consistently applies bio-inspired computing techniques to address sophisticated cyber threats, with increasing emphasis on temporal aspects of threat intelligence and ransomware analysis in his most recent research. Wake Forest Reid-Doyle Prize URECA Mentorship Award for Undergraduate Research DOE CAREER Award IEEE ACSOS Award IEEE MILCOM Best Paper Award Dr. Fulp has mentored numerous undergraduate and graduate students, guiding research in computer security and network defense. His work has been supported by major funding agencies including the Department of Energy (DOE), National Science Foundation (NSF), Defense Advanced Research Projects Agency (DARPA), Cisco Systems, and Centripetal Networks. He has co-founded a startup specializing in computer security and holds multiple patents related to firewall technology and network security. Dr. Fulp leads the Network Security Group at Wake Forest University, which investigates techniques to address next-generation security threats, from distributed firewall designs to ant-based intrusion detection systems. His research team explores approaches for identifying domain shadowing and other DNS attacks, with current projects focusing on intelligence-driven security leveraging diverse intelligence sources.

Rizka PurwantoView profile

Adjunct Associate Professor

• Artificial Intelligence
• Cybersecurity
• Space Systems
• +6 more

Rizka Purwanto serves as an Adjunct Associate Lecturer at the University of New South Wales (UNSW) Canberra within the School of Engineering and Technology, and concurrently as an Assistant Professor for the Master of Cybersecurity program at Monash University, Indonesia. Previously, she held a postdoctoral researcher position at UNSW Canberra Space and accumulated industry experience as a software engineer across Australia and Indonesia. Her academic qualifications include: Bachelor's degree in Electrical Engineering from Institut Teknologi Bandung (ITB), Indonesia (2013) Master's degree from the University of New South Wales (UNSW) (2018), specializing in artificial intelligence and internetworking PhD from UNSW's School of Computer Science and Engineering (2022), funded by the University International Postgraduate Award (UIPA) and Cyber Security Cooperative Research Centre scholarships Rizka's research centers on artificial intelligence applications across critical domains. Her primary cybersecurity work develops AI-driven methods for phishing and scam detection to enhance public awareness, while her space systems research pioneers federated learning for miniaturized satellite constellations and deep learning-based space object characterization using lightcurve data. This dual focus bridges theoretical AI innovation with practical security and aerospace solutions. Her publication record (2020-2025) reveals consistent contributions to phishing detection algorithms (PhishSim, PhishZip), federated learning optimization, space mission analytics (M2 CubeSat), and affective computing. Key trends show increasing integration of machine learning with domain-specific challenges in Indonesian energy infrastructure, cybersecurity, and satellite operations. No major scientific awards are documented in the provided materials. While no current advisees are listed, her PhD research received significant funding through the University International Postgraduate Award (UIPA) and Cyber Security CRC scholarships. Her postdoctoral role at UNSW Canberra Space likely involved mission-specific project grants, and her current Monash University position suggests involvement in cybersecurity education partnerships. Rizka's technical work prominently features UNSW Canberra Space, where she contributed to the 'M2' Low Earth Orbit Formation Flying CubeSat Mission. This placed her within a multidisciplinary team developing change detection systems and formation flying protocols using optical imaging for space situational awareness.

Jonathan M. AitkenView profile

Senior Lecturer

• Autonomous robotics
• Computer vision
• Spatial awareness in robotic systems
• +4 more

Dr. Jonathan M. Aitken is a Senior Lecturer in Robotics at the University of Sheffield's School of Electrical and Electronic Engineering. Previously a Research Fellow at the Autonomous Control Laboratory (ACSE), his work focuses on autonomous robotic systems with emphasis on quadcopters, computer vision, spatial awareness, and multi-robot collaboration. Expert in safe autonomous drone deployment Specializes in collaborative robotics (cobots) Qualified UK commercial drone pilot Research spans: Autonomous reconfiguration of robotic systems Dynamic risk assessment for systems-of-systems Visual SLAM for feature-sparse environments Formal verification of UAS systems Human-robot co-working interfaces Recent publications examine: Robust localization in sewer pipes Visual saliency algorithms for mobile robots Cobotic safety controller synthesis Modular digital twinning frameworks Spatial awareness for multi-robot teams Major grants include EPSRC Programme Grants for buried pipe sensing and Lloyds Registry Foundation funding for cobot safety integration.

Tina SosaView profile

Assistant Professor

• Pediatric Inpatient Care
• Quality Improvement
• Patient Safety
• +3 more

Tina Sosa, M.D., M.Sc., is an Assistant Professor in the Department of Pediatrics at the University of Rochester Medical Center. As a pediatric hospitalist, she specializes in family-centered care for children with general pediatric conditions and leads quality improvement initiatives focused on safety, equity, and value in pediatric inpatient settings. MD, University of Rochester (2014) MS, University of Cincinnati Medical Center (2021) Residency in General Pediatrics, Cincinnati Children's Hospital Medical Center (2014-2017) Fellowship in Pediatric Hospital Medicine, Cincinnati Children's Hospital Medical Center (2018-2021) Her research focuses on system-level innovations to enhance pediatric inpatient care quality, particularly through situation awareness tools for clinical deterioration detection and high-risk therapy monitoring . She leads studies on medical device complications in medically complex children and contributes to multi-center safety collaboratives like the Children’s Hospitals’ Solutions for Patient Safety network. The 15 most recent publications demonstrate consistent engagement with pediatric safety and quality improvement through empirical studies, methodological frameworks, and clinical implementation projects. Key areas include sedation reduction for gastrojejunostomy exchanges, staff safety initiatives, clinical deterioration prediction, and healthcare delivery optimization. Scientific awards include: Academic Pediatric Association Young Investigator Award Dr. Sosa collaborates with multidisciplinary teams across research, clinical practice, and patient safety domains. Her work integrates improvement science with direct patient care, emphasizing equitable outcomes and system-wide healthcare standardization.

• Human-Computer Interaction
• Embodied Cognition
• Situated Cognition
• +7 more

Jana Rambusch is a Senior Lecturer in Cognitive Science at the University of Skövde's School of Informatics . With a background in cognitive science and human-computer interaction, she teaches courses in Cognitive Science, User Experience Design (UXD), and Game Design . Research Interests: Embodied & Situated Cognition, E-sports, Human-Computer Interaction, Participatory Culture, Ecological Psychology, and Game Design Research Groups: Interaction Lab, GAME Research Group, Sweden Game Arena Professional Affiliations: Swedish Association for Cognitive Science (SweCog) Research Focus: Her work bridges cognitive theory with practical design, emphasizing bodily interaction in digital environments and spectator experiences in competitive gaming. She explores how physicality and social context shape engagement with technology. Key Projects: Current initiatives include Robots as Game Partners for Older Adults (2025-2028) and Alma Game for Neurodevelopmental Disorders (2025-2026). Past projects range from cybersecurity training tools to e-sports spectator experience studies.

Xiaohui ZhaoView profile

Senior Lecturer

• Business Process Management
• Business Intelligence
• Data Analytics
• +3 more

Dr. Xiaohui Zhao serves as a Senior Lecturer at the Institute of Innovation, Science and Sustainability (IISS), Federation University Australia, based at the Mt Helen campus. His academic role bridges business process theory with practical IT implementation, focusing on real-time analytics integration within organizational workflows. His educational foundation includes: Bachelor of Engineering (Computer Science and Technology) Master of Engineering (Computer Science and Technology) PhD in IT from Swinburne University of Technology (2007) Zhao's research centers on Business Process Management with specialized expertise in artifact-centric modeling, situational awareness systems, and real-time business intelligence. His work demonstrates how data analytics can dynamically optimize business operations through context-aware process adjustments. Current projects explore hyper-automation frameworks that merge AI-driven decisioning with traditional BPM workflows. Analysis of his 15 most recent publications reveals a consistent trajectory from foundational process modeling (2010-2015) toward real-time analytics integration (2016-2022). Key thematic clusters include artifact-centric process specialization, resource scheduling under constraints, and RFID-enabled business logic implementation. His interdisciplinary approach spans computer science, operations research, and business analytics. Dr. Zhao actively mentors doctoral candidates including Sira Yongchareon (artifact-centric BPM), Jiajie Xu (resource optimization), and Shangfeng Hu (knowledge networks). His research program is supported by competitive grants from: Ministry of Science and Innovation (New Zealand) Department of Education and Training (Australia) Department of Foreign Affairs and Trade (Australia)

• Information Fusion
• Sensor Technology
• Artificial Intelligence
• +2 more

James Llinas has been a Professor in the Industrial and Systems Engineering Department at the State University of New York at Buffalo since 1995, specializing in advanced technological applications. He is globally recognized for expertise in sensors and data fusion, co-authoring foundational books in the field. Research interests focus on information fusion frameworks, ambient intelligence systems, and advanced surveillance, particularly designing scalable solutions for real-world applications. His work integrates sensor data and domain knowledge to enhance situational awareness. Publications emphasize practical frameworks for information fusion, addressing challenges in distributed systems and contextual modeling. Recent collaborations explore high-level fusion architectures for adaptive decision-making. Awards include the Joe Mignona Prize for contributions to data fusion. His 2010 research stay at UC3M developed software frameworks for information fusion in ambient intelligence and surveillance domains.

Zhisheng YanView profile

Associate Professor

• Immersive Computing Systems
• Cybersecurity in Virtual Reality
• Edge Computing
• +3 more

Zhisheng Yan is an Associate Professor in the Department of Information Science and Technology at George Mason University's School of Computing. He leads the Mason immErsive meDia computIng and Applications Lab (MEDIA Lab). Previously, he held an Assistant Professor position at Georgia State University and was a visiting researcher at Stanford University's Department of Electrical Engineering. He earned his PhD in Computer Science and Engineering from the State University of New York at Buffalo (2017). His research focuses on systems and security challenges in immersive computing systems, including VR/AR, imaging, and video systems. Key areas include latency reduction, cybersecurity, edge computing optimizations, and user authentication mechanisms. His work addresses real-world applications such as automated driving safety, medical training, and energy-efficient display technologies. Yan's research has garnered significant recognition, including the NSF CRII Award, ACM SIGMM Best PhD Thesis Award, and IEEE HealthCom’14 Best Student Paper Runner-up. His publications span topics like neural-enhanced video streaming, non-line-of-sight detection for autonomous vehicles, and privacy-preserving techniques in immersive environments. He actively participates in academic leadership roles, including co-directing the MS INFS Program at George Mason. His interdisciplinary approach integrates computer science, cybersecurity, and human-centered design to advance immersive technologies.

Cynthia MatuszekView profile

Assistant Professor

• Robotics
• Machine Learning
• Human-Robot Interaction
• +5 more

Cynthia Matuszek is an Assistant Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). She directs UMBC’s Interactive Robotics and Language lab, focusing on enabling robots to learn from human interaction using natural language. Her research spans robotics, machine learning, human-robot interaction (HRI), and natural language processing (NLP). Notably, she was recognized in IEEE's 2018 '10 to Watch in AI' list. Dr. Matuszek holds a Ph.D. and M.S. in Computer Science & Engineering from the University of Washington (2014, 2010) and a B.S. in Computer Science from the University of Texas at Austin (2000). Her work bridges theoretical and applied domains, addressing challenges in grounded language learning, multimodal data fusion, and ethical AI deployment. Her recent publications emphasize cybersecurity (e.g., malware detection using compact features), neurosymbolic reasoning, and the integration of large language models into robotics. The lab’s work often explores VR-based human-robot collaboration scenarios, leveraging photogrammetry and simulation for reproducible studies. Key thematic trends in her articles include: Advancing grounded language learning through cross-modal alignment and interactive labeling Developing ethical AI systems capable of moral reasoning and command rejection Pioneering domain-specific cybersecurity solutions using tensor factorization and vector stores Expanding multilingual and multimodal capabilities for robots in unstructured environments Her research also addresses societal impacts, including studies on gender stereotypes in AI datasets and privacy implications of pervasive robotics. The lab’s work often intersects with NSF-funded initiatives, such as the CAREER award for inclusive robotic learning environments.

Peter AdrianView profile

Associate Professor

• Machine Learning
• Signal Processing
• Computer Vision
• +3 more

Peter Adrian is an Associate Professor in the Department of Mathematics and Systems Engineering at Florida Institute of Technology's College of Engineering and Science. He also serves as Affiliate Faculty in the Department of Electrical Engineering and Computer Science. His research focuses on machine learning applications in signal processing, computer vision, and statistical analysis. He leads projects in environmental sound classification, seismic event discrimination, and structural health monitoring, often leveraging edge computing and deep learning frameworks. Adrian's work bridges theoretical advancements with practical systems engineering, such as developing acoustic situational awareness tools (e.g., ACE plugin) and rail infrastructure monitoring systems. Key contributions include physically-augmented deep learning models for seismic analysis and multimodal datasets for firearm acoustics research. His publications span over 5 decades, addressing challenges in sensor networks, geospatial modeling, and shape analysis using information geometry principles. While no formal awards are listed, his prolific output demonstrates sustained academic engagement. Adrian’s research website provides further details on ongoing projects, though currently inaccessible. His interdisciplinary approach integrates mathematics, computer science, and engineering to solve real-world problems in transportation safety, environmental monitoring, and astrophysics.

Thorvald HæremView profile

Professor

• Organizational Psychology
• Behavioral Decision Making
• Organizational Routines
• +3 more

Thorvald Hærem is a Professor of Organizational Psychology at BI Norwegian Business School and serves as Head of the Department of Leadership and Organizational Behaviour. He holds a Ph.D. from Copenhagen Business School. His research focuses on behavioral decision making, organizational routines, technology’s role in organizations, and expertise development. He teaches graduate courses in Judgment and Decision Making, Creativity, and Organizational Science. Key research areas include decision-making under uncertainty, the impact of emotions on judgment, and the dynamics of organizational routines. His work explores how cognitive styles (analytic vs. intuitive) influence performance in complex tasks and how communication settings affect team coordination in crisis scenarios. Recent studies address topics such as overconfidence and status dynamics (2025), the effects of open-office noise on information processing (2023), and the replication of persuasion mechanisms in uncertain contexts (2024). His research often bridges experimental psychology and organizational behavior, emphasizing practical applications in security management and multiteam systems. Thorvald has published in top journals like Journal of Applied Psychology , Organization Science , and Journal of Behavioral Decision Making . His contributions span theoretical innovations (e.g., routine dynamics, pattern mining) and applied domains (e.g., hybrid threat preparedness, military coordination).

Ismailcem Budak ArpinarView profile

Associate Professor

• Artificial Intelligence
• Bioinformatics and Health Informatics
• Big Data Analytics
• +7 more

Ismailcem Budak Arpinar is an Associate Professor in the School of Computing at the University of Georgia, part of the Franklin College of Arts & Sciences. Her research focuses on Human Brain Inspired AI, Neuro-symbolic Computing, Time-series Forecasting, Semantic Web, Social Media Analytics, and Crowdsourcing. She holds a PhD in Computer Science from Middle East Technical University (1998). Education: PhD in Computer Science, Middle East Technical University, Turkey (1998) MS in Computer Science, Middle East Technical University, Turkey (1993) BS in Computer Science, Middle East Technical University, Turkey (1991) Research Interests: Her work spans AI-driven pandemic forecasting, neuro-symbolic systems, semantic web technologies, and social computing. She explores applications in healthcare (e.g., bioinformatics), public health (e.g., pandemic modeling), and cybersecurity (e.g., extremist communication analysis). Her recent projects leverage foundation models and knowledge-infused learning for interdisciplinary challenges. Grants & Funding: ACED: AI for Scientific Discovery (NSF, 2024) Multimodal Time-Series Forecasting for Pandemic Prediction (UGA AI Seed Grant, 2024) Knowledge-infused Time-series Foundation Model (NSF, 2023–2027) Awards: UGA Career Center Acknowledgement Award (2015) Charter School Planning & Implementation Grant (2009) Lab & Collaboration: Her research involves collaborations across disciplines, including epidemiology, genetics, and cybersecurity. She leads projects in the LSDIS Lab (Large Scale Distributed Information Systems) and co-leads initiatives on pandemic prediction and AI for health sciences.

Hanspeter SchaubView profile

Professor

• Astrodynamics
• Spacecraft Dynamics and Control
• Electrostatic Spacecraft Actuation
• +7 more

Hanspeter Schaub is a Distinguished Professor and Department Chair of Aerospace Engineering Sciences at the University of Colorado Boulder, affiliated with the College of Engineering and Applied Science. He holds the Schaden Leadership Chair and the Glenn Murphy Endowed Chair. His academic career includes roles at Virginia Tech and Texas A&M University. Education: PhD (1998), M.S. (1994), and B.S. (1992) in Aerospace Engineering from Texas A&M University. He also completed a Matura Typus C in Switzerland. Research focuses on orbital mechanics, attitude dynamics, Coulomb spacecraft actuation, space debris removal, and autonomous systems. Notable projects include the Basilisk simulation framework and the Autonomous Vehicle Systems (AVS) Lab. Awards include National Academy of Engineering membership, Hazel Barnes Prize, and multiple AIAA recognitions. Leadership roles: Department Chair, Associate Chair for Graduate Affairs, and chair of ADCA. Grants and funding include the Glenn Murphy Chair, Al and Betty Look Professorship, and numerous research grants. He advises visiting scholars and leads international collaborations, hosting researchers from institutions like NTNU and Politecnico di Torino. Labs: Colorado Center for Astrodynamics Research (CCAR) and AVS Lab, specializing in spacecraft dynamics, simulation, and autonomy. Key software tools include Basilisk and the Black Lion communication architecture.

Roberto SabatiniView profile

Professor

• Aeronautics and Astronautics
• Aerospace Systems
• Avionics Systems
• +7 more

Roberto Sabatini is an Honorary Professor at RMIT University's School of Engineering and a Professor of Aeronautics and Astronautics at Khalifa University (UAE). He holds adjunct roles at multiple institutions, including RMIT's Sir Lawrence Wackett Defence and Aerospace Centre and Chosun University in South Korea. With three decades of experience, his research focuses on aerospace systems, autonomous systems, and AI-driven solutions for aviation and space sectors. His expertise spans avionics, space domain awareness, trusted autonomy, and sustainable aviation. He leads projects funded by governments and industry partners such as Thales and NASA. Notable contributions include innovations in UAS traffic management, GNSS systems, and space debris tracking. Prof. Sabatini has authored over 300 publications and is listed in Stanford's top 2% of cited scientists (2019–present). Awards include the 2021 Distinguished Leadership Award and Scientist of the Year (2019). He chairs Khalifa University's Aerospace Research Strategy Committee and serves on IEEE's Board of Governors. Key Collaborations : ICAO, NASA, UAE Space Agency, and Korea Aerospace Research Institute. Leadership Roles : IEEE AESS Avionics Systems Panel Chair (2021–2024), Vice President of Technical Operations (2024). Research interests emphasize cyber-physical systems, space traffic management, and AI applications. His work bridges academia and industry, addressing challenges in advanced air mobility and sustainable aerospace development.