جست‌وجوی استاد و پژوهشگر

Jack Montgomeryمشاهده پروفایل

دانشیار

• Geotechnical Earthquake Engineering
• Landslides
• Dam Engineering
• +۴ مورد دیگر

Jack Montgomery is an Associate Professor of Civil and Environmental Engineering at Auburn University's College of Engineering, specializing in Geotechnical Engineering. He holds a Ph.D., M.S., and B.S. in Civil Engineering from the University of California-Davis and California Polytechnic State University. His research focuses on Geotechnical Earthquake Engineering, Landslides, Dam Engineering, Sinkholes, and Advanced Site Characterization. He has received the prestigious NSF CAREER award for his work on piping mechanisms in unsaturated soils. His projects include developing landslide warning systems for Alabama highways, studying liquefaction effects in earthquakes, and integrating geophysics into infrastructure assessments. He collaborates with agencies like ALDOT and the U.S. Nuclear Regulatory Commission on critical infrastructure resilience. His lab work includes centrifuge modeling, geotechnical reconnaissance, and advanced numerical simulations. Education: Ph.D. Civil Engineering, University of California-Davis M.S. Civil Engineering, University of California-Davis B.S. Civil Engineering, California Polytechnic State University Research emphasizes landslide prediction, dam stability, and seismic risk mitigation. Recent efforts include machine learning applications for foundation design and sinkhole tracking via media reports. Key Awards: NSF Faculty Early Career Development (CAREER) Program Award Advising and Grants: Collaborates with federal agencies on $1M NRC-funded advanced nuclear reactor research and leads Auburn’s geotechnical engineering outreach. His work appears in 20+ peer-reviewed articles and field investigations. Labs/Teams: Active in Auburn’s Advanced Structural Engineering Lab and Highway Research Center, contributing to Alabama’s transportation infrastructure resilience.

Xin Fuمشاهده پروفایل

استاد

• Computer Architecture
• Machine Learning
• Energy-Efficient Computing
• +۲ مورد دیگر

Dr. Xin Fu is a Professor in Electrical and Computer Engineering at the University of Houston's Cullen College of Engineering, holding a PhD from the University of Florida. His research spans computer architecture, energy-efficient systems, machine learning acceleration, and hardware reliability, with applications in edge computing and quantum systems. Awarded the NSF CAREER Award and named Miller Scholar, he leads innovations in heterogeneous computing architectures. Research focuses on optimizing hardware-software co-design for AI workloads, with current projects in federated learning optimization, quantum computing reliability, and neural network acceleration. Recent publications demonstrate cross-cutting work in mobile AI deployment, adversarial defense mechanisms, and quantum error correction. Honors include: NSF Faculty Early CAREER Award (2014) Four-time recipient of competitive NSF research grants Miller Scholar recognition for teaching and research excellence

Viktor Sowinski-Mydlarzمشاهده پروفایل

مدرس

• Cyber Security
• Data Analytics
• Machine Learning
• +۳ مورد دیگر

Dr. Viktor Sowinski-Mydlarz is a Lecturer in Computer Science and Applied Computing at the School of Computing and Digital Media, London Metropolitan University. He also serves as a post-doctoral researcher at the Cyber Security Research Centre. His research focuses on hybrid frameworks combining semantic and machine learning methods for data analysis, with recent projects involving cloud computing, bioinformatics (e.g., 3D modeling of Coronavirus variants), and cyber security threat intelligence. He teaches programming, software engineering, ethical hacking, computer networking, and cloud computing. His academic background includes a PhD in hybrid data processing frameworks. He has contributed to research funded by Lloyds Banking Group and Innovate UK, including Urban Data Space (air quality analysis) and Microsoft Azure Cluster (NHS prescription data statistics with Machine Learning). Dr. Sowinski-Mydlarz's work emphasizes software integration, containerization, and cloud-based data analytics orchestration. His publications span threat intelligence, cyber security policy validation, and AI-driven hybrid platforms.

Omar Haider Chowdhuryمشاهده پروفایل

دانشیار

• Computer Security
• Network Security
• Software Security
• +۱۳ مورد دیگر

Omar Haider Chowdhury is a SUNY Empire Innovation Scholar and Associate Professor in the Department of Computer Science at Stony Brook University. Previously, he was an Assistant Professor at the University of Iowa where he received the Dean's Scholar Award. He completed his postdoctoral research at Cylab, Carnegie Mellon University and Purdue University. His educational background includes a Ph.D. in Computer Science from the University of Texas at San Antonio under the supervision of Prof. Jianwei Niu and Prof. William H. Winsborough (deceased), and undergraduate education in Computer Science and Engineering at the Bangladesh University of Engineering and Technology (BUET). Chowdhury's research focuses on Computer Security and Privacy, with particular emphasis on applying formal verification, automated reasoning, runtime verification, programming languages, software engineering, and human-computer interaction techniques to solve practical security problems. His work addresses security challenges in SSL/TLS, X.509 PKI, Cellular Networks, Wi-Fi, Internet-of-Things (IoT), and Regulatory Compliance. He is also interested in fundamental problems in automated reasoning and formal verification. His recent publications demonstrate a strong focus on applying formal methods to practical security problems, with particular emphasis on cellular networks (4G/5G), IoT systems, and cryptographic protocols. His research shows a consistent pattern of bridging theoretical verification techniques with real-world security implementations, resulting in enhancements to widely used protocols like 4G LTE, 5G, and WPA2 enterprise. His scientific contributions have been recognized with numerous awards including: 2023 Test of Time Award, ACM SACMAT 2022 Dean's Scholar Award, University of Iowa 2021 Best Paper Award (Runner Up), ACM CCS 2020 Best Paper Award, ACNS 2019 DARPA Young Faculty Award Multiple Best Paper Awards at IEEE DASC, ACSAC, and NDSS Chowdhury has successfully mentored several PhD students including Dr. Moosa Yahyazadeh (now at Apple Inc.), and currently advises students including Joyanta Debnath, Muhammad Daniyal Pirwani, and Aliakbar Sadeghi. His research has been funded by both National Science Foundation (NSF) and Defense Advanced Research Projects Agency (DARPA), including a prestigious DARPA Young Faculty Award. His group's findings have directly influenced improvements in widely used security protocols and cryptographic libraries. He leads a research group focused on high-assurance software design and implementation, recently teaching courses on these topics at Stony Brook University. His research group combines expertise in formal methods, security analysis, and practical implementation to tackle emerging security challenges in modern computing systems.

Laura Maginnisمشاهده پروفایل

استاد مدعو

• Space Launch Systems
• Mission Design
• Aerospace Engineering
• +۳ مورد دیگر

Laura Maginnis is an Adjunct Professor in the Space Resources Program at the Colorado School of Mines. With over 20 years of experience in the space launch industry, she has held leadership roles at the U.S. Air Force, Boeing/United Launch Alliance, and Blue Origin, focusing on mission management and launch vehicle development. Her career emphasizes successful integration of missions for NASA, defense agencies, and commercial entities, advancing both exploration and national security objectives. Education includes a Bachelor of Science in Mechanical Engineering (Aerospace concentration) from Cornell University and a Master of Science in Space Systems from the Florida Institute of Technology. She teaches Space Operations (SPRS 505) at Mines and currently leads Mission Management for Blue Origin’s New Glenn program. Her work bridges government and commercial sectors to advance space exploration and infrastructure.

John Gallagherمشاهده پروفایل

استاد

• Computer Engineering
• Biomedical Engineering
• Human Factors Engineering
• +۱ مورد دیگر

John Gallagher serves as Professor in the Department of Computer Science and Engineering at Wright State University, where he has held faculty positions since 2000 including progression from Assistant Professor (2000-2006) to Associate Professor (2006-2013) and Professor (2013-2020). He concurrently served as Interim Chair of the Department of Biomedical, Industrial, and Human Factors Engineering from 2018-2020, demonstrating cross-departmental leadership within the university's engineering programs. His academic credentials include: Ph.D. in Computer Engineering, Case Western Reserve University (1998) M.S. in Computer Science, Case Western Reserve University (1991) B.S. in Computer Engineering, Case Western Reserve University (1989) Dr. Gallagher's research integrates computer engineering with biomedical applications and human factors, particularly focused on defense systems as evidenced by his current Principal Investigator role on a U.S. Air Force Cooperative Research and Development Agreement (CRADA FY-DAY-LAB-##) running through 2024. This federally funded project reflects his specialization in transferring academic research to military applications. His career trajectory shows consistent advancement within Wright State's engineering programs, with prior appointment as Assistant Professor of Computer Science at SUNY Institute of Technology (1998-2000) before joining his current institution. The ongoing Air Force grant confirms his active research status and institutional affiliation beyond the 2020 faculty position end date listed in his appointment history.

• Software and network security
• Operating system design and implementation
• Open-source software development

W. Michael Petullo is an Assistant Professor in the Department of Comp Sci & Comp Engineering at the University of Wisconsin-La Crosse. He holds a Ph.D. in Computer Science from the University of Illinois at Chicago, and prior academic degrees from DePaul University and Drake University. Before academia, he served a 20-year career in the Army, including roles teaching in the Department of Electrical Engineering and Computer Science and leading cyber operations software development. His research focuses on software and network security, operating systems, and open-source software development. Education: Ph.D. in Computer Science, University of Illinois at Chicago M.S. in Computer Science, DePaul University B.S. in Computer Science, Drake University Research Interests: His work emphasizes secure operating system design, network security protocols, and open-source tool development. Recent efforts include the Aquinas Learning System for courseware automation and PivotWall for SDN-based information flow control. He also explores user behavior in cybersecurity contexts and educational applications of cyber defense exercises. Teaching: Currently instructs CS120 (Software Design I), CS410/510 (Open Source Development), and CS455/555 (Fundamentals of Information Security). Past courses include operating systems concepts and secure software development. Labs & Projects: Maintains the Aquinas Learning System project and contributes to Ethos operating system research. Active in developing minimal-latency networking solutions and secure kernel interfaces.

Benjamin Turnbullمشاهده پروفایل

دانشیار

• Cyber Security
• Simulation
• Digital Forensics
• +۶ مورد دیگر

Associate Professor Benjamin Turnbull is Deputy Head of School at UNSW Canberra's School of Systems & Computing. His research focuses on cybersecurity, simulation, and emerging technologies, aiming to develop decision support systems for cyber resilience. He leads large-scale research projects funded by organizations like CSIRO, Australian Defence Force, and the US Naval Research Laboratory, totaling over $3 million AUD in grants. Teaching contributions include co-creating the Bachelor of Cyber Security program and directing multiple postgraduate cybersecurity offerings. His educational design emphasizes industry-relevant courses, from undergraduate to executive programs like the UNSW Online Cyber Security Masters. He has extensive experience in curriculum design, content development, and online education. Research interests span cyber situation awareness, secure simulation platforms, and automated learning from big datasets. Notable projects include the UNSW-MG24 microgrid cybersecurity dataset and frameworks like OQFL (quantum-based federated learning) for intelligent transportation systems. His work bridges theory and practice, with outputs including software tools and policy recommendations for cyber resilience in critical infrastructure. Key collaborations include the Cyber Cooperative Research Centre and DST Group. He has authored over 100 peer-reviewed publications, focusing on IoT security, blockchain-enabled learning, and cyber-physical-social systems resilience. His grants emphasize applied research with direct societal impact, such as mitigating supply chain cyber risks and enhancing microgrid cybersecurity.

Daniel Harrisمشاهده پروفایل

مدرس ارشد

• Climate Change Impacts
• Coastal Morphodynamics
• Coral Reef Geomorphology
• +۳ مورد دیگر

Dr Daniel Harris is a Senior Lecturer in the Department of Geography at the School of the Environment, University of Queensland (UQ). His research focuses on coastal and coral reef morphodynamics, integrating physical processes like waves and tides with ecological and geological systems. Prior to UQ, he held positions at the University of Sydney and the Leibniz Center for Tropical Marine Ecology (ZMT). He leads The BeachLab, dedicated to developing tools for coastal resilience in a warming world. Research interests include coral reef structural complexity, coastal protection under climate change, and surf zone processes. His work combines field data, remote sensing (e.g., LiDAR, drones), and numerical modeling to address both fundamental and applied questions. Notable projects involve quantifying coral rubble mobility, analyzing Holocene reef evolution, and assessing shoreline change via satellite imagery. His expertise spans marine geoscience, physical oceanography, and environmental adaptation strategies. Publications emphasize coral reef dynamics, coastal geomorphology, and climate impacts. He collaborates with ecologists, geologists, and coastal engineers to advance interdisciplinary solutions. Teaching focuses on geography and marine science, reflecting his commitment to educating future researchers and practitioners. Key contributions include advancing methods for shoreline monitoring using Bayesian networks and Google Earth Engine. His research highlights the critical role of coral reefs in coastal protection, particularly under rising sea levels and extreme weather events. The BeachLab’s work bridges academic inquiry with practical management strategies for vulnerable coastal ecosystems.

Chris Holmesمشاهده پروفایل

دانشیار

• Photonics
• Optical Engineering
• Quantum Technologies
• +۳ مورد دیگر

Dr. Chris Holmes is an Associate Professor at the University of Southampton, specializing in photonics and advanced manufacturing. He leads research in photonic systems, solid-state batteries, and fiber-optic sensing technologies. His work is funded by organizations like the Engineering and Physical Sciences Research Council (EPSRC) and the Defense Advanced Research Projects Agency (DARPA). Educations: MPhys, PhD. Professional Memberships: Chartered Engineer (CEng), Chartered Physicist (CPhys), Fellow of the Institute of Physics (FInstP), Fellow of the Higher Education Academy (FHEA). His research focuses on Roll-to-Roll (R2R) manufacturing of solid-state batteries, optical fiber sensors for composite materials, and ultra-high-Q photonic resonators. He collaborates with the Photonic Systems, Circuits and Sensors Group, Mechatronics, and Optical Engineering and Quantum Photonics Group. Current projects include developing novel flat fiber sensors and advancing quantum photonics applications. Dr. Holmes has contributed to projects funded by EPSRC and DARPA, including the Future Composite Manufacturing Hub and the Coherent Heterodyne Robust Optical Microwave Emitter (CHROME). He is actively involved in supervising PhD students and welcomes applications in his research areas.

Floria Mora-Kepfer Uyمشاهده پروفایل

استادیار

• Evolution of sociality
• Neuroethology
• Host-parasite interactions
• +۲ مورد دیگر

Floria Mora-Kepfer Uy is an Assistant Professor in the Department of Biology at the University of Rochester, within the School of Arts & Sciences. Her research focuses on the evolution of social behavior, particularly in insects, using integrative approaches that combine field and lab experiments with molecular and neural techniques. She investigates how relatedness, social interactions, environmental factors, and parasitic relationships influence cooperation, group formation, and neurobiological adaptations. Key research interests include the evolution of sociality, neuroethology, host-parasite interactions, behavioral ecology, and conservation. Her work employs model systems such as wasps (e.g., Mischocyttarus mexicanus, Polistes spp.) and explores topics like brain plasticity, sensory system adaptation, and genomic responses to environmental pressures. Dr. Uy’s research group actively accepts PhD students and utilizes a variety of methodologies, including neurogenomic analyses and behavioral experiments. While no specific grants or awards are listed, her publications highlight contributions to understanding social behavior mechanisms in insects.

Plamen Angelovمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Explainable AI
• +۵ مورد دیگر

Prof. Plamen Angelov holds a Chair in Intelligent Systems and is Director of Research at Lancaster University's School of Computing and Communications. He leads the Lancaster Intelligent, Robotic, and Autonomous Systems (LIRA) Centre, uniting 70+ faculty across 15 departments. With a PhD (1993) and DSc (2015), he is a Fellow of IEEE, IET, ELLIS, and AAIA. His research focuses on explainable AI, evolving systems, and computational intelligence, with 400+ publications (h-index 65) in top venues like TPAMI and IEEE Transactions. Notable achievements include the Dennis Gabor Award (2020) and ranking in Stanford's Top 0.2% AI researchers (2024). He leads projects funded by UK Research Councils, ESA, DSTL, and industry. As Editor-in-Chief of Springer's Evolving Systems , he drives standards in explainable AI through IEEE's P2976 Working Group. His work spans autonomous systems, cybersecurity, and biomedical applications through initiatives like AI4EO and H-UNIQUE.

Anthony Constantinouمشاهده پروفایل

مدرس ارشد

• Causal Machine Learning
• Decision Systems
• Bayesian Networks
• +۶ مورد دیگر

Anthony Constantinou is a Senior Lecturer at Queen Mary University of London, part of the School of Electronic Engineering and Computer Science. He leads the MInDS Research Group and the Bayesian AI Lab, focusing on causal machine learning for decision-making under uncertainty. His research spans healthcare, defense, sports, economics, and gaming, with a strong emphasis on Bayesian networks and causal inference. Research Interests: Causal machine learning, decision systems, Bayesian networks, uncertainty quantification, and their applications in healthcare, military defense, sports analytics, and economics. He collaborates with academia and industry to advance AI-driven decision-making systems. Grants: Noted for securing funding such as the Engineering and Physical Sciences Research Council grant (EP/S001646/1) for Bayesian AI research. His work emphasizes practical applications in diverse fields through collaborative projects. Labs & Teams: Head of the MInDS Research Group and Bayesian AI Lab, fostering interdisciplinary research in AI and decision systems.

Jeff Huangمشاهده پروفایل

دانشیار

• Software Engineering
• Programming Languages
• Concurrency
• +۴ مورد دیگر

Jeff Huang is an Associate Professor in the Department of Computer Science & Engineering at Texas A&M University, affiliated with the College of Engineering. His research focuses on software engineering, programming languages, concurrency, and runtime verification, with notable contributions to static analysis, race detection, and vulnerability mitigation in concurrent systems. Education: Postdoc, Computer Science, University of Illinois at Urbana-Champaign (2013-2014) Ph.D., Computer Science, Hong Kong University of Science and Technology (2012) B.E., Electrical Engineering, National University of Defense Technology, China (2008) Research Interests: Huang's work bridges theoretical foundations and practical applications in concurrency debugging, static analysis tools, and cybersecurity for smart contracts. He emphasizes scalable solutions for pointer analysis, race detection, and vulnerability detection in distributed systems and blockchain technologies. Recent Trends in Publications: His recent work explores AI-driven program execution (e.g., SGLang), blockchain security (e.g., Smart Contract analysis), and dynamic/static analysis techniques for memory safety. These studies underscore advancements in automated tools for securing concurrent and distributed systems. Awards: 2023 ACM SIGSOFT Distinguished Paper Award 2019 DARPA Young Faculty Award 2016 NSF CAREER Award 2013 ACM SIGSOFT Outstanding Doctoral Dissertation Award Advising & Grants: Huang has advised PhD students including Bozhen Liu and Peiming Liu, who have contributed to OpenMP race detection and pointer analysis tools. His grants include NSF awards for pointer analysis as a service and DARPA funding for young faculty research. Labs & Teams: He leads the O2 Lab, focused on concurrency verification and cybersecurity, collaborating with industry partners like Coderrect Inc. and DOE on scalable static analysis frameworks.

Dan S. Wallachمشاهده پروفایل

استاد

• Computer Security
• Cybersecurity
• Electronic Voting Systems
• +۳ مورد دیگر

Dan S. Wallach is a Professor of Computer Science and Electrical and Computer Engineering at Rice University, and a Program Manager at DARPA's Information Innovation Office since June 2023. He holds a PhD (1999) and MA (1995) from Princeton University, and a BS (1993) from UC Berkeley. His research focuses on cybersecurity, electronic voting systems, and mobile security. He directed the NSF-funded ACCURATE Center (2005-2011), led the STAR-Vote project, and advised U.S. election security policies including testifying before state and federal committees. He also served on the Air Force Science Advisory Board (2011-2015), USENIX Board (2011-2013), and IEEE Technical Guidelines Committee (2019-2023). Recent work includes developing ElectionGuard cryptographic tools for verifiable elections and analyzing cyber warfare in Ukraine. His 15+ years of teaching include courses like Introduction to Program Design and Election Systems Technologies. Publications span secure voting protocols, smartphone security, and election auditing. Collaborations include Microsoft and VotingWorks on cryptographic voting systems like ElectionGuard and Arlo-CVR-Encryption.