جست‌وجوی استاد و پژوهشگر

Branden Ghenaمشاهده پروفایل

استادیار

• Embedded Systems
• Networking Protocols
• Internet of Things
• +۳ مورد دیگر

Branden Ghena is an Assistant Professor of Instruction in the Department of Computer Science at Northwestern University, part of the McCormick School of Engineering. His research focuses on embedded systems, networking protocols for IoT, and operating systems, particularly through the Tock project. He holds a PhD in Electrical Engineering and Computer Science from UC Berkeley (2020), an MSE in Computer Science and Engineering from the University of Michigan (2017), and a BS in Computer Engineering and Electrical Engineering from Michigan Technological University (2013). His research interests include resource-constrained embedded hardware/software, wireless protocols like Bluetooth Low Energy, LoRaWAN, and LTE-M, and energy-harvesting platforms such as Signpost and PowerBlade. He emphasizes open-source contributions and practical embedded systems education. Teaching includes courses like CS211 (C/C++), CS213 (Computer Systems), CS343 (Operating Systems), CE346/CS346 (Microcontroller Design), and CS433 (Wireless IoT Protocols). He has received notable awards, including the 2022 Cole-Higgins Excellence in Teaching Award and the Instructor of the Year award. His teaching philosophy centers on bridging theory to real-world engineering challenges. Awards : Cole-Higgins Award for Excellence in Teaching (2022) Instructor of the Year (2022) Outstanding Graduate Student Instructor (UC Berkeley, 2018) NSF Graduate Research Fellowship (2014–2017) Labs/Teams : Principal contributor to Tock OS, an open-source embedded OS Signpost platform for city-scale sensing Design of PowerBlade energy meters and Buckler development boards His advising includes supporting undergraduate research, with several students proceeding to PhD programs. He has also contributed to curriculum design, including redesigning labs for embedded systems courses using modern tools like Git, Make, and Rust. Branden actively participates in academic service roles, such as faculty search committees and workshop program committees.

Christopher Andrew Bailمشاهده پروفایل

استاد

• Artificial Intelligence
• Political Polarization
• Social Media
• +۵ مورد دیگر

Christopher Andrew Bail is a Professor of Sociology, Computer Science, Political Science, and Public Policy at Duke University's Trinity College of Arts & Sciences. He directs the Society-Centered AI Initiative and co-founded the Polarization Lab. His research focuses on AI's impact on human behavior, particularly in social media contexts, aiming to mitigate political polarization and design prosocial digital platforms. Bail holds a Ph.D. from Harvard University (2011). His expertise spans computational social science, online political discourse, and AI ethics. Notable contributions include groundbreaking work on social media's role in polarization, interventions to reduce partisan animosity, and the development of AI-driven dialogue platforms. He has authored influential books like Breaking the Social Media Prism , which led to policy changes at Twitter and inspired NextDoor's conflict mediation tools. Recent publications emphasize AI's societal implications, experimental methods to improve online interactions, and consensus-based reforms in machine learning research. His work appears in Science , Nature , and the New York Times , among others. Awards include the Guggenheim Fellowship (2018) and Carnegie Fellowship (2017). Bail's grants include funding from NSF, Templeton Foundation, and others for projects on ideological distance in social media, computational social science training, and AI for intellectual humility. He teaches advanced courses on AI in sociology and interdisciplinary data science. His media engagements span major outlets like CNN, BBC, and NPR, where he discusses digital polarization and tech policy. He co-founded the Summer Institutes in Computational Social Science and advises the NSF's Social, Behavioral, and Economic Sciences Directorate. Current initiatives include the Trinity Social AI Initiative and Duke’s Interdisciplinary Data Science Program.

Meisam Gordanمشاهده پروفایل

استادیار

• Structural Health Monitoring
• Data Mining
• Artificial Intelligence
• +۷ مورد دیگر

Dr. Meisam Gordan is an Assistant Professor in Civil Engineering at University College Dublin (UCD), affiliated with the School of Civil Engineering. Previously, he held Postdoctoral Research Fellow positions at UCD (2022–2024) and the University of Malaya (2021–2022), and was a Graduate Research Assistant at the University of Malaya (2019–2020). He earned his PhD in Civil Engineering (2020) from the University of Malaya, specializing in Structural Health Monitoring, Data Mining, and Artificial Intelligence, supported by a High Impact Research Scholarship. **Education**: PhD in Civil Engineering, University of Malaya (2020) MSc in Civil Engineering, University Technology of Malaysia (UTM) **Research Interests**: Focuses on integrating Civil Engineering with Computer Science using Industry 4.0 technologies such as IoT, Big Data, Blockchain, Digital Twins, and Circular Economy. Key areas include Structural Health Monitoring, Machine Learning, Vibration Control, and Smart Infrastructure. Current projects include the Di-Rail project (railway fault diagnosis) and the Horizon 2020-funded PRECINCT (critical infrastructure resilience). **Publications**: Over 40 peer-reviewed articles, with recent work emphasizing hybrid digital twins, smart cities, and cybersecurity. His articles analyze trends in SHM with AI, edge-IoV networks, and resilience frameworks for critical infrastructure. **Awards**: High Impact Research Scholarship (2014), recognized as a reliable peer reviewer for journals like Structural Health Monitoring and IEEE Access. **Teaching**: Coordinates modules on Environmental Engineering, Transportation, and Structural Dynamics at UCD. Teaches courses like CVEN30170 Analysis of Structures 2 and CVEN20070 Computer Applications in Civil Engineering. **Grants/Projects**: Lead roles in PRECINCT and Di-Rail. Previously contributed to projects on recycled rubber energy dissipation systems and blockchain-based sensor data storage. **Labs/Teams**: Collaborates with the Structural Dynamics and Assessment Laboratory (SDA-Lab) at UCD and the PRECINCT Living Labs. Active in the UCD Civil Engineering research community.

Robbyمشاهده پروفایل

استاد

• Formal Methods
• Software Engineering
• Programming Languages
• +۳ مورد دیگر

Robby is a Professor in the Department of Computer Science at Kansas State University's College of Engineering, holding the Don and Linda Glaser - Carl and Mary Ice Keystone Research Scholar title. He maintains an active research profile through the SAnToS Lab and has been continuously affiliated with the university since 2004. His educational background includes: Ph.D. in Computer Science from Kansas State University (2004) M.S. in Computer Science from Kansas State University (2000) B.S. in Computer Science from Oklahoma State University (1998) Robby's research centers on formal methods and software engineering , specializing in specification and verification techniques for high-assurance systems. His work develops user-friendly formal languages and cost-efficient verification algorithms that significantly enhance software trustworthiness in safety-critical domains like aerospace and defense systems. This research bridges theoretical foundations with practical industrial applications through tools like the Sireum framework. His publication record (2021-2025) reveals a strong trajectory toward integrated verification ecosystems, particularly the Sireum suite (Logika, Slang) and HAMR toolset for AADL-based development. These works consistently address model-code verification gaps and contract-based testing in cyber-physical systems, demonstrating growing industry adoption through collaborations with organizations like Galois and NASA. Notable recognitions include: NASA Turning Goals into Reality award (2003) NSF CAREER award (2007) ICSE Most Influential Paper award (2000) ACM SIGSOFT Impact award (2010) FMICS Best Tool Paper Award (2024) Robby's research program combines significant funding from sources like the NSF CAREER grant with active industry partnerships. His SAnToS Lab serves as a hub for developing verification methodologies that scale from academic prototypes to real-world deployment in safety-critical systems, emphasizing practical toolchains for assurance engineering. He leads the SAnToS Lab (Software Analysis and Test Organization), which focuses on advancing formal verification techniques for high-integrity software through frameworks like Sireum and HAMR, with applications spanning microkernels, cyber-physical systems, and educational tools.

Susanne M Furmanمشاهده پروفایل

مدرس

• Human-Computer Interaction
• Cybersecurity
• Usability Engineering
• +۴ مورد دیگر

Susanne M Furman is an Instructor in the Department of Psychology at George Mason University (GMU), concurrently serving as a cognitive scientist in the Visualization and Usability Group at the National Institute of Standards and Technology (NIST). Her roles span academic and federal agency work, focusing on usability engineering and cybersecurity. She holds a PhD in Applied Experimental Psychology (Human Factors) from GMU, with prior experience at IBM, GE, and the U.S. Department of Health and Human Services. Education: B.A. in Psychology, Bloomsburg University of Pennsylvania (1988) M.A. in Applied Experimental Psychology, George Mason University (1990) Ph.D. in Applied Experimental Psychology (Human Factors), George Mason University (1997) Research focuses on usability of cybersecurity tools, biometric systems, and smart home technologies. Key themes include privacy preservation, user mental models of security, and cross-agency collaboration (e.g., with DHS and FBI). Recent work examines consumer trust in smart home ecosystems and lifecycle management of IoT devices. Publications (selected): Her work bridges usability research with federal cybersecurity needs, including foundational studies on contactless fingerprint devices and smart home privacy challenges. Over 25 years of industry and academic collaboration has produced impactful contributions to human-centered cybersecurity standards. Affiliations: Active in NIST’s Human-Centered Cybersecurity projects and GMU’s Psychology department. She contributes to federal usability programs and collaborates with researchers like Julie Haney and Brian Stanton.

Kirsty Redgenمشاهده پروفایل

مدرس

• Accounting Automation
• Audit Technology
• Creativity in Accounting
• +۳ مورد دیگر

Dr Kirsty Redgen is an Associate Lecturer in Accounting at the University of the Sunshine Coast (UniSC), within the School of Business and Creative Industries. Prior to academia, she worked as a chartered accountant specializing in audit and taxation for seven years, fostering a passion for education and research. Her research focuses on creativity and decision-making in accounting, automation potential, and technology applications in auditing. Kirsty holds a PhD and multiple graduate diplomas in accounting and education from UniSC. She teaches auditing, accounting fundamentals, and financial reporting. Her professional memberships include Chartered Accountants Australia and New Zealand and the Accounting and Finance Association of Australia and New Zealand. Notable awards include the AFAANZ Best Paper Award (2021) and USC Disability Support Appreciation Staff Award (2016). Her work emphasizes empowering professionals through innovation and technology integration.

Liangxiu Hanمشاهده پروفایل

استاد

• Big Data Analytics
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Professor Liangxiu Han is Professor of Computational Science at Manchester Metropolitan University's Department of Computing and Mathematics, where she also serves as co-Director of the Centre for Advanced Computational Science and Deputy Director of the ManMet Crime and Well-Being Big Data Centre. Her research focuses on developing novel approaches to big data analytics, machine learning, and AI, with applications in precision agriculture, healthcare, smart cities, and cybersecurity. Professor Han's research integrates fundamental and applied work in large-scale data processing, intelligent management of distributed systems, and mathematical modeling. Her current activities aim to provide intelligent ICT-based solutions for societal challenges in food security, healthcare, and sustainable urban development. Her recent publications demonstrate leadership in applying AI to medical challenges like Alzheimer's drug discovery and glaucoma diagnosis. The research combines Bayesian deep learning, computational chemistry, and neuropharmacology to develop innovative therapeutic approaches and diagnostic tools.

Bogdan Ghitaمشاهده پروفایل

دانشیار

• Cybersecurity
• Network Security
• IoT Security
• +۸ مورد دیگر

Dr. Bogdan Ghita is an Associate Professor and Associate Dean International in the Faculty of Science and Engineering at the University of Plymouth. His primary affiliation is with the School of Engineering, Computing and Mathematics. He leads network research within the Centre for Security, Communications, and Network Research. His research focuses on cybersecurity, IoT security, machine learning applications in networking, blockchain technology, network function virtualization, and disaster communication systems. He has supervised over 20 PhD students on topics ranging from smart grid optimization to network intrusion detection. Teaching responsibilities include undergraduate courses like Cyber Security and Networks, Ethical Hacking, and Network Monitoring, as well as postgraduate modules in Ethical Hacking. He actively contributes to curriculum development in online education and cybersecurity pedagogy. Key research themes include: Network slicing and NFV in disaster recovery systems Cybersecurity for IoT and industrial systems Machine learning for network anomaly detection Blockchain-based trust management for M2M services Forensic analysis of digital evidence His recent work explores AI-driven personalized education frameworks and quantum-resistant cryptographic schemes. He has published extensively in top-tier conferences/journals with a focus on applying computational methods to solve real-world cybersecurity challenges.

• Human-Computer Interaction
• Usability Engineering
• User Experience
• +۷ مورد دیگر

Rosa Lanzilotti is a Full Professor in the Department of Computer Science at the University of Bari Aldo Moro, Italy, where she has established herself as a leading researcher in Human-Computer Interaction (HCI) and Usability Engineering. As a core member of the IVU (Interaction Visualization Usability and UX) Laboratory, she coordinates research on Usability Engineering and UX practices, and Human-Centered Artificial Intelligence. With over 90 publications in top-tier journals and conferences, her work bridges academic research with practical applications in industry and public institutions. Dr. Lanzilotti earned her PhD in Computer Science from the University of Bari in May 2006. Her doctoral research developed the ELSE (e-Learning Systematic Evaluation) methodology, which combines inspection and usability testing to achieve more reliable results for evaluating e-learning systems. She also pioneered Pattern-Based inspection techniques that guide evaluators through detailed evaluation patterns. Her research spans multiple domains including educational technology, cultural heritage, healthcare, and smart environments. She has designed and evaluated numerous educational games for mobile devices and large multi-touch displays, resulting in a patent (n. 1401512, 2013) for a multimedia framework supporting site visits. Her work in End-User Development (EUD) explores how non-technical users can customize systems in healthcare and cultural heritage contexts through participatory design with domain experts. Recent publications (2019-2024) show increasing focus on integrating AI with human-centered design, privacy considerations in UX, and cybersecurity applications of HCI principles, particularly for public administration systems. As an active member of the Italian Working Group on Usability (GLU), she works to improve public administration websites and advocate for explicit usability requirements in ICT procurement. Her conference service includes Technical Program Co-Chair for INTERACT 2021 and various leadership roles in AVI, IEEE SMC, and womENcourage conferences. She teaches courses including 'Interacting with Intelligent Systems' (Master's level), 'Human-Computer Interaction for AI' (PhD level), and various undergraduate courses on Human-Machine Interaction at the University of Bari.

George Karabatisمشاهده پروفایل

استاد

• Cyber-security
• Semantic Information Integration
• Workflow Systems
• +۵ مورد دیگر

George Karabatis is a Professor of Information Systems at the University of Maryland, Baltimore County (UMBC). He currently serves as the Director of Entrepreneurship and Innovation Minor at UMBC and holds roles as Liaison for Programmatic Innovations in the Department of Information Systems. With a Ph.D. and M.S. in Computer Science and a B.S. in Mathematics, he previously worked as a Research Scientist at Telcordia Technologies. His research focuses on cybersecurity (intrusion detection via contextual semantics), semantic information integration, workflow systems, and database applications for mobile devices. Key contributions include developing flow-based detection approaches using semantic networks and exploring contextual anomaly detection for zero-day attacks. Teaching expertise spans courses like Systems and Information Integration (IS 722), Mobile Data Management (IS 720), and Advanced Database Projects (IS 620). His work bridges theoretical foundations with practical implementations in enterprise systems and mobile technologies.

David A. Baderمشاهده پروفایل

استاد

• Data Science
• Parallel Computing
• High-Performance Computing
• +۳ مورد دیگر

David A. Bader is a Distinguished Professor and founder of the Department of Data Science at NJIT's Ying Wu College of Computing, and Director of the Institute for Data Science. He holds a Ph.D. in Electrical Engineering from the University of Maryland (1996), an M.S. in Electrical Engineering from Lehigh University (1991), and a B.S. in Computer Engineering from Lehigh University (1990). His research focuses on large-scale graph analytics, parallel computing, and high-performance computing frameworks like Arachne and Arkouda. Dr. Bader has received prestigious awards including the IEEE Sidney Fernbach Award, ACM Fellowship, SIAM Fellowship, and AAAS Fellowship. His work emphasizes scalable algorithms for big data, quantum computing applications, and real-time graph processing systems. He leads research on dynamic graph algorithms, GPU optimization, and interdisciplinary data science projects. Education: Ph.D., Electrical Engineering, University of Maryland, 1996 M.S., Electrical Engineering, Lehigh University, 1991 B.S., Computer Engineering, Lehigh University, 1990 His research interests span parallel computing paradigms, graph theory applications, and high-performance computational systems. Recent work includes quantum interior point methods, scalable graph analytics frameworks, and efficient string processing algorithms. He actively contributes to open-source projects like GraphBLAS and LAGraph. Key Awards: 2022 Innovation Hall of Fame, University of Maryland 2021 ACM Fellow 2021 IEEE Sidney Fernbach Award 2010 IEEE Fellow Bader’s lab focuses on advancing big data infrastructure and has developed tools for large-scale graph analysis, including Arachne and Arkouda. His collaborations bridge academia and industry, addressing challenges in cybersecurity, climate modeling, and bioinformatics.

• Cybersecurity
• Internet of Things (IoT)
• Blockchain
• +۷ مورد دیگر

Amar Kumar Seeam is a Lecturer at the Mauritius Campus of Middlesex University. He holds a PhD in Building Simulation and Predictive Control from the University of Edinburgh (2015). His research spans cybersecurity, IoT, smart cities, eHealth systems, and public administration innovations. He has led projects on blockchain-based healthcare systems, augmented reality control platforms, and cyber deception frameworks for IoT-edge networks. Notably, he contributed to pandemic response initiatives like ventilator prototyping during the 2020-21 crisis and developed disinfection technologies using visible light. He co-founded the Centre for African Smart Public Value Governance (C4SP), focusing on policy innovation in African urban development. His work integrates interdisciplinary approaches, combining technical systems with societal impact analysis. Education: PhD in Building Simulation (University of Edinburgh, 2015) Key Projects: MRIC/IEEE-funded multi-purpose light disinfection chamber Smart tourism chatbot for Mauritius Cybersecurity frameworks for IoT and SCADA systems Research Interests: Cyber-physical security, AI in education, blockchain healthcare systems, and sustainable energy management. His work emphasizes practical applications in developing regions, such as Mauritius and Africa, focusing on scalable solutions for public infrastructure and digital governance. Recent articles highlight trends in AI-driven education tools, cultural governance in multicultural projects, and IoT security protocols. His contributions span conferences like IEEE, ACM, and Edward Elgar Publishing, addressing both technical and policy-oriented challenges in emerging technologies.

Zhu Hanمشاهده پروفایل

استاد

• Game Theory
• Wireless Networking
• Security
• +۴ مورد دیگر

Dr. Zhu Han is the John and Rebecca Moores Professor at the University of Houston's Cullen College of Engineering, Department of Electrical and Computer Engineering. His research focuses on game theory, wireless networking, security, data analysis, and smart grid applications. He holds doctoral and master's degrees from the University of Maryland and a bachelor's from Tsinghua University. Research interests span: Next-generation wireless systems (6G/7G) AI/ML integration in communications Reconfigurable intelligent surfaces Quantum machine learning applications Secure and efficient network architectures His recent publications demonstrate strong focus on generative AI integration in wireless systems, quantum networking, semantic communications, and security frameworks for future networks. Awards and honors include: IEEE/ACM/AAAS Fellow status IEEE Kiyo Tomiyasu Award (2021) Highly Cited Researcher since 2017 IEEE Distinguished Lecturer (2015-2018) Dr. Han leads research in wireless communications and networking, with extensive industry collaboration. His lab focuses on developing theoretical foundations and practical implementations for next-generation communication systems.

Jason Jaskolkaمشاهده پروفایل

دانشیار

• Cyber Security Evaluation
• Security Assurance
• Formal Methods
• +۴ مورد دیگر

Jason Jaskolka is an Associate Professor in the Department of Systems and Computer Engineering at Carleton University, part of the Faculty of Engineering and Design. He holds a Ph.D. from McMaster University and is a licensed Professional Engineer in Ontario. His research focuses on cyber security evaluation and assurance, formal methods, and secure software engineering. He leads the Cyber Security Evaluation and Assurance (CyberSEA) Lab, emphasizing security-by-design principles for complex systems like industrial control systems and IoT-enabled healthcare. Education: Ph.D. (Software Engineering, McMaster University, 2015), M.A.Sc. (Software Engineering, McMaster University, 2010), B.Eng. (Software Engineering and Game Design, McMaster University, 2009). Research interests include: Cyber Security Evaluation & Assurance, Data-Driven Security Metrics, Formal Verification of Security Properties, Secure Software Architecture Design, and Industrial Cyber-Physical Systems Security. His work addresses challenges in threat modeling, compliance with security standards, and mitigating implicit system vulnerabilities. Recognition includes the 2021 New Faculty Excellence in Teaching Award for innovative pedagogy. He actively supervises graduate students in funded research positions. Key collaborations include Health Canada's Scientific Advisory Committee on Digital Health Technologies and the U.S. Department of Homeland Security’s Cybersecurity Postdoctoral Fellowship at Stanford University. Labs/Teams: CyberSEA Lab, focusing on developing rigorous security evaluation frameworks and tools for software-dependent systems.

Michael Weissمشاهده پروفایل

دانشیار

• Open Source Ecosystems
• Technology Innovation Management
• Cybersecurity
• +۴ مورد دیگر

Michael Weiss is an Associate Professor in the Department of Systems and Computer Engineering at Carleton University, affiliated with the Technology Innovation Management (TIM) program. He holds a Dr.rer.nat. (Mannheim) and Dipl.-Ing. (Munich). His research focuses on open source ecosystems, cybersecurity, and innovation management, with over 150 peer-reviewed publications. Weiss chairs conferences like MCETECH and PLoP, and serves on the Hillside Group board. Education: Dr.rer.nat. (Computer Science, 200?), Dipl.-Ing. (Computer Engineering, 200?) Research interests include open source governance, business process modeling, and patterns for collaborative systems. His work bridges technical and organizational aspects of innovation, emphasizing community-driven development and ethical technology use. Recent projects apply topic modeling and machine learning to analyze cybersecurity threats and domain-specific ecosystems. Publications span journals like Technology Innovation Management Review and conferences such as ACM PLoP. Notable contributions include frameworks for license compliance analysis and methodologies for managing remote software projects. Weiss also explores emerging technologies' societal impacts, including AI ethics in education. Advising focuses on graduate students in TIM and Systems Engineering programs. Collaborates with industry on open source security initiatives and contributes to standards through the Hillside Group. Active in innovation education, developing tools like the Community Design Canvas for fostering collaborative problem-solving communities.