جستجوی استاد راهنمای دانشگاهی

Simin Nadjm-Tehraniمشاهده پروفایل

استاد

• Cybersecurity
• Real-Time Systems
• Formal Verification
• +۴ مورد دیگر

Simin Nadjm-Tehrani is a Professor and Head of Unit at Linköping University's Department of Computer and Information Science (IDA), leading the Real-time Systems Laboratory (RTSLAB) since 2000. She holds a PhD in Computer Science from Linköping University (1994) and previously served as a full professor at the University of Luxembourg (2006–2008). Her research focuses on cybersecurity, dependability in distributed systems, and formal methods for safety-critical applications. Key research areas include adaptive anomaly detection in critical infrastructures, energy-efficient protocols, and formal analysis of safety protocols. She leads the NEST-project on AI for cyber attack identification and contributes to the Wallenberg AI, Autonomous Systems and Software Program (WASP). Her work addresses challenges in smart grids, edge computing, and secure communication protocols. Publications emphasize practical applications of formal verification in tree ensembles, SCADA systems, and avionics. She organized the 2019 CRITIS conference and collaborates with industry on edge computing benchmarks and secure IoT architectures. Her educational contributions include curriculum design for problem-based learning (PBL) and gender equity initiatives in computer science. Professional roles include leadership in the Software and Systems (SAS) division at IDA, where she oversees interdisciplinary projects combining safety and security constraints. Current efforts target resilient information systems for societal functions like energy and transportation.

Sebastian Obermeierمشاهده پروفایل

استاد

• Cybersecurity
• Critical Infrastructure Protection
• Quantum Cryptography
• +۳ مورد دیگر

Sebastian Obermeier is a Professor and Co-Head of the Applied Cyber Security Research Lab at the Lucerne School of Computer Science and Information Technology, Lucerne University of Applied Sciences and Arts. He holds a Dr. rer. nat. (Computer Science) from Universität Paderborn (2008) and has over 15 years of academic and industry experience. His research focuses on cybersecurity in critical infrastructures, quantum-safe cryptography, and industrial control systems. Education: Dr. rer. nat. in Computer Science, Universität Paderborn (2005–2008) Diplom-Informatiker, Universität Paderborn (2004–2005) Bachelor in Computer Science, Universität Paderborn (2000–2004) Research Projects: Development of a cybersecurity testbench for building automation (multiple phases) Quantum-Safe Cryptography integration in OT/IT systems Cybersecurity for Substation Automation forensics Hardening power grid systems against domain-specific cyberattacks Key Contributions: HydroLab: Security research platform for hydroelectric systems Automation recovery frameworks for critical infrastructure His work bridges academic research with industry applications, emphasizing real-world cybersecurity challenges in energy and industrial systems. Notable collaborations include projects on forensic readiness via honeypots and resilience center conceptualization.

Michelle Joette Whiteمشاهده پروفایل

دانشیار

• Pediatric Health Equity
• Child Obesity
• Public Health Interventions
• +۳ مورد دیگر

Michelle Joette White is an Associate Professor in Pediatrics and Population Health Sciences at Duke University, with a dual appointment in the Division of Hospital Medicine. She serves as Associate Director of the Duke Pediatric Research Scholars Program for Physician-Scientist Development. Her expertise lies in pediatric health equity, child obesity, and community-based interventions. Dr. White holds an MD from Duke University School of Medicine (2010) and an MPH from the University of North Carolina at Chapel Hill (2018). Her research integrates geographic and qualitative methods to explore how environmental factors influence child health behaviors, particularly focusing on disparities in obesity and healthcare access. Notable areas include interfacility transfer outcomes for children with chronic conditions, protective factors against obesity in high-risk neighborhoods, and mobile health interventions to address health inequities. Dr. White leads multiple grants, including the NHLBI-funded 'Stimulating Access to Research in Residency (StARR)' program and Lucile Packard Foundation initiatives addressing acute care utilization for Black children with medical complexity. She also chairs the Academic Pediatric Association Diversity and Inclusion Committee. Her work has been published in journals like Hospital Pediatrics , Academic Pediatrics , and Translational Behavioral Medicine , with a focus on translating research into actionable community programs. She collaborates with the Duke Center for Childhood Obesity Research to advance translational studies.

Janise McNairمشاهده پروفایل

استاد

• Wireless Networking
• Mobile Networking
• Smart Grid Security
• +۷ مورد دیگر

Janise McNair is a Professor in the Department of Electrical & Computer Engineering at the University of Florida. Her research focuses on wireless and mobile networking, next-generation wireless systems, and medium access control protocols. She holds the Nelms Faculty Fellowship and has been recognized with awards such as the IEEE Best Paper Session and IET Featured Article honors. Her work emphasizes cybersecurity in smart grids and software-defined networks (SDN), alongside innovations in edge computing and IoT integration. Education: PhD in Electrical & Computer Engineering from Georgia Institute of Technology (2000), MS (1993) and BSEE (1991) from University of Texas at Austin. Research Interests: Dr. McNair’s expertise spans cyber-physical security, resilient smart grid architectures, and machine learning applications in network defense. She has pioneered frameworks for detecting zero-day attacks in LEO constellation networks and enhancing SDN-based security in UAV relay systems. Her contributions to multi-criteria handover in multi-RAT networks and blockchain-enabled edge computing have advanced next-generation communication systems. Publications (Highlighted Trends): Recent work emphasizes cybersecurity in smart grids and SDN, with a focus on hybrid frameworks combining data fusion and physics-based models. Her research bridges theoretical contributions (e.g., graph-based attack detection) with practical implementations, such as IoT mesh networks for refrigeration monitoring. Over 150 publications span topics from 5G edge computing to satellite networking resilience. Scientific Awards: Includes Nelms Faculty Fellow (2022), IEEE INFOCOM Distinguished Membership (2019–2021), and multiple best paper awards. Advising & Grants: A recipient of the UF Doctoral Mentoring Award (2014), she advises students on cutting-edge network security and communications. Her grants fund projects in SDN resilience, IoT integration, and tactical mobile networks. Collaborations include the Warren B. Nelms Institute for the Connected World. Labs/Teams: Active in UF’s Connected World initiatives, focusing on secure IoT and smart infrastructure systems. Her research group develops prototypes for real-world applications in construction jobsites and rural connectivity solutions.

Subra Sureshمشاهده پروفایل

استاد

• Algorithmic Fairness
• Machine Learning Ethics
• Data Privacy
• +۳ مورد دیگر

Subra Suresh is a Professor at Large at the School of Engineering, Brown University. His email is Subra_Suresh@brown.edu . He focuses on interdisciplinary research at the intersection of technology and society, emphasizing algorithmic fairness, AI ethics, and computational law. His research interests include addressing biases in machine learning systems, ensuring equitable access to technology, and developing frameworks for ethical AI governance. He explores topics such as data privacy, social network disparities, and legal implications of emerging technologies. Recent publications highlight trends in auditing algorithms for fairness, mitigating bias in decision-making systems, and designing policies for responsible AI deployment. His work bridges technical innovation with societal impact, advocating for transparent and accountable technologies. No scientific awards or grants are explicitly listed in the provided materials. He has not disclosed advisee information, and there is no mention of lab affiliations or teams in the text.

Thomas Sharkeyمشاهده پروفایل

استاد

• Network Optimization
• Network Interdiction
• Network Resilience
• +۵ مورد دیگر

Thomas Sharkey is a Professor in the Department of Industrial Engineering at Clemson University's College of Engineering, Computing and Applied Sciences (CECAS). His research focuses on network optimization, interdiction, and resilience with applications in public sector problems including human trafficking disruption and Arctic emergency response. Education: Ph.D. in Industrial and Systems Engineering, University of Florida (2008) M.S.E. in Mathematical Sciences, Johns Hopkins University (2004) B.S. in Mathematical Sciences, Johns Hopkins University (2004) Research Interests: Dr. Sharkey's work centers on network optimization and interdiction, with a strong emphasis on real-world applications. His research spans network resilience , supply chain security , and public sector operations research . Recent efforts have concentrated on disrupting human trafficking networks through sophisticated network interdiction models and enhancing emergency response in the Arctic. His interdisciplinary approach often involves collaboration with law enforcement, policymakers, and community stakeholders to address complex societal challenges. Publication Trends: Over the past five years, Dr. Sharkey's research has increasingly focused on human trafficking disruption and Arctic emergency response. His work integrates network interdiction models with real-world data to develop actionable strategies for law enforcement. A notable trend is the application of bilevel and multi-objective optimization to model attacker-defender dynamics in illicit networks. Additionally, his research on fundamental surprise events, such as the COVID-19 pandemic, has contributed to operational resilience frameworks for critical infrastructure. Professional Affiliations: Institute of Industrial and Systems Engineers (IISE) Institute for Operations Research and the Management Sciences (INFORMS) Advising and Grants: Dr. Sharkey has led multiple federally funded projects, including an NSF CAREER award (2013) for "New Scheduling Models for Supply Chain Restoration, Construction, and Redesign" and a Collaborative Research grant (2013) on "Dynamic Resource Allocation Models for Law Enforcement Operations against Illegal Drug Trafficking". His research portfolio also includes RAPID and D-ISN TRACK 1 grants addressing infrastructure restoration and human trafficking disruption. As a professor, he mentors graduate students in operations research and industrial engineering, though specific advisee names are not provided in the source material. Labs and Teams: Dr. Sharkey contributes to the Resiliency and Security in Complex Networks research thrust within the Department of Industrial Engineering. He collaborates with interdisciplinary teams, including the Network Science Center at Clemson, to develop models for critical infrastructure protection and illicit network disruption. His transdisciplinary projects often involve partnerships with law enforcement agencies, non-governmental organizations, and community stakeholders.

Shameek Bhattacharjeeمشاهده پروفایل

استادیار

• Cybersecurity
• IoT Security
• Wireless Networks
• +۳ مورد دیگر

Dr. Shameek Bhattacharjee is an Assistant Professor of Computer Science at Western Michigan University and Director of the STAR Lab (Security Trust and AI for Resilient Systems). He holds a PhD in Computer Engineering from the University of Central Florida. Research Focus: Designs data-driven and model-driven frameworks for safety and security in smart connected systems. Key areas include IoT security, anomaly detection, trust management, and resilient learning for cyber-physical systems. Publications: Recent work demonstrates consistent focus on security challenges in critical infrastructure including smart transportation, water systems, and energy grids. Research employs advanced machine learning techniques for attack detection and resilient system design in IoT environments.

Lav Guptaمشاهده پروفایل

استادیار

• Cybersecurity
• Networking
• Cloud Computing
• +۵ مورد دیگر

Lav Gupta is an Assistant Professor of Computer Science at the University of Missouri–St. Louis. He holds a Ph.D. and MS from Washington University in St. Louis, and BS/MS degrees from Indian Institute of Technology Kanpur and Roorkee. His research focuses on cybersecurity, networking, cloud computing, and AI applications in critical infrastructure like healthcare and finance. Research interests include secure multi-cloud management, AI-driven fault detection in virtual networks, and resilient healthcare systems. He has published 13+ first-author papers in journals/conferences, with work on hierarchical deep learning for cybersecurity and edge-cloud AI. His funded projects include NSF/SaTC grants and UM System Broadband Research initiatives. Current work involves standardization efforts at ITU-T Geneva for inter-cloud service management frameworks. Notable awards include the 2015 Broadcom Foundation Research Award and Vodafone’s 2014 Wireless Innovation Prize. He leads the Cybersecurity and Networking Lab, offering GRA positions in multi-cloud security and 5G/6G systems. Students can contact via email or office hours (Wednesdays in-person/Zoom). Grants and collaborations highlight industry ties through Sony and ITU-T. Future work emphasizes socially impactful applications like smart cities and critical patient monitoring systems.

• Environmental Hydraulics
• Sediment Transport
• Urban Hydrology
• +۶ مورد دیگر

Dr. Habib Ahmari is an Associate Professor in the Department of Civil Engineering at The University of Texas at Arlington (UTA), licensed in Texas and Ontario. With over 20 years of experience, his expertise spans environmental hydraulics, sediment transport, and fluvial geomorphology. He holds a PhD from Queen's University (2010) and advanced degrees from Sharif University (Iran). Research Focus: Urban hydrology, climate change impacts, river restoration, and hydraulic engineering. Leadership: Directed UTA's CE Department Learning Center (2016–2020), chaired ABET accreditation (2017–2020), and serves on ASCE technical committees. Grants: Secured funding from TxDOT, GLO, and NCTCOG for studies on sediment transport, bridge resilience, and coastal dynamics. His research bridges theoretical and applied engineering through projects like ArcGIS-based erosion toolkits and biofiltration swale testing. Awards include UTA's Outstanding Teaching Award (2019) and Queen's University's R. Samuel McLaughlin Fellowship (2006). Dr. Ahmari advises 40+ graduate students and teaches courses in fluid mechanics, sediment transport, and open channel hydraulics. He collaborates with agencies like Trinity River Authority and presents at international conferences such as the World Environmental & Water Resources Congress.

R. A. Borrelliمشاهده پروفایل

دانشیار

• Advanced Fuel Cycle Analysis
• Nuclear Safeguards
• Nuclear Hybrid Energy Systems
• +۲ مورد دیگر

R. A. Borrelli is Associate Professor of Nuclear Engineering at University of Idaho's College of Engineering, based at the Center for Advanced Energy Studies in Idaho Falls. His research spans advanced fuel cycles, nuclear safeguards, space nuclear power systems, and cybersecurity for nuclear facilities. Current projects include radioisotope thermoelectric generators for deep space exploration and cyber hardening of nuclear power plants. Research combines computational modeling and experimental validation, with focus areas in reactor physics, radiation transport, and energy system integration. Recent work examines molten salt microreactor restart protocols and radiation interactions in planetary atmospheres. Publications demonstrate consistent focus on nuclear safety (60% of recent papers) and space nuclear applications (25%). Professional activities include organizing nuclear cybersecurity research initiatives and serving on technical committees for nonproliferation conferences. Leads research on DOE/NASA-funded projects and advises students through the Center for Advanced Energy Studies. Collaborates with Idaho National Laboratory on safeguards-by-design methodologies.

Mark Davidsonمشاهده پروفایل

دانشیار

• Coastal Processes
• Coastal Engineering
• Sediment Transport
• +۳ مورد دیگر

Dr. Mark Davidson is an Associate Professor (Reader) in Coastal Processes at the University of Plymouth, leading the Coastal Processes Research Group since 2019. He holds roles as Associate Head of School (Admissions and Marketing), lecturer for undergraduate/postgraduate courses, and Ph.D. supervisor. His expertise spans in-situ measurements, video remote sensing, and numerical modeling of hydro- and morphodynamics, with a focus on shoreline change prediction and coastal resilience. Current research emphasizes multi-timescale (days-to-decades) modeling frameworks like ShoreTrans and storm impact analysis on UK coastlines. His work addresses critical challenges such as gravel barrier response to extreme storms, sediment budgeting, and infrastructure protection. He has led EPSRC-funded projects on UK coastal resilience and nuclear plant installations. Supervised 16 Ph.D. completions and currently advises Emily Hunt on decadal shoreline modeling. Teaching includes advanced courses in waves, estuaries, and physical oceanography. His lab utilizes cutting-edge tools like LiDAR and shore-based video systems for real-time monitoring. Research contributions span over 50 peer-reviewed articles, including seminal work on infragravity wave dynamics, ShoreTrans modeling, and post-storm recovery patterns. Collaborative projects include the EU-funded LEACOAST2 and CoastView initiatives. His work aligns with UN SDG 13 (Climate Action) and SDG 11 (Sustainable Cities).

Mieszko Jan Ferens Michalekمشاهده پروفایل

پژوهشگر

• Computer Science
• Artificial Intelligence
• Internet of Things
• +۵ مورد دیگر

Mieszko Jan Ferens Michalek is a Researcher at Aalborg University's Department of Electronic Systems within The Technical Faculty of IT and Design. His work focuses on cybersecurity, machine learning, and edge computing with applications in IoT and cloud-edge networks. Education: Master in Telecommunication Engineering (2022), University of Valladolid Bachelor in Telecommunication Engineering Technologies (2020), University of Valladolid Research Interests: Explores machine learning for secure IoT systems, PUF-based hardware authentication, adversarial attack modeling, and simulation environments for cloud-edge networks. Specializes in integrating quantum-resistant cryptography into IoT infrastructure through projects like QUCISAFE. Projects: QUCISAFE (2025-2027) : Develops post-quantum cryptography and QKD for critical infrastructure in cloud-edge-IoT systems. IoTalentum (2020-2025) : Advances IoT training and machine learning for secure IoT ecosystems. Key Contributions: Developed predictive adversarial systems to model attackers targeting PUFs, created the STEROCEN simulation tool for cloud-edge resource management, and proposed MetaLung architecture for secure metaverse healthcare systems.

Kemal Akkayaمشاهده پروفایل

استاد

• Network Security
• IoT & Cyber-physical System Security
• Key Management
• +۵ مورد دیگر

Dr. Kemal Akkaya is a Professor at the Department of Electrical & Computer Engineering, Florida International University (FIU), where he leads the Advanced Wireless and Security Lab (ADWISE). He holds a Ph.D. in Computer Science from the University of Maryland Baltimore County and has expertise in Network Security, IoT/CPS Security, Blockchain Applications, and 5G Security. His professional roles include serving as Research Director for FIU’s Emerging Preeminent Program in Cybersecurity and as Program Director for the first BS degree in IoT in the U.S. Education: Ph.D. in Computer Science, University of Maryland Baltimore County M.S. in Computer Engineering, Middle-East Technical University, Turkey B.S. in Computer Science, Bilkent University, Turkey Research Interests: Dr. Akkaya focuses on securing IoT and cyber-physical systems, blockchain for micro-payments, and network defense mechanisms. His work emphasizes privacy-aware protocols, secure key management, and SDN/NFV-based solutions. Awards: FIU Faculty Senate Excellence in Research Award (2020) College of Engineering and Computing Faculty Research Award (2020) Top Cited Article Award from Elsevier (2010) Advisees and Grants: While no student names are listed, his lab (ADWISE) likely supports graduate research in IoT and cybersecurity. His grants include interdisciplinary initiatives at FIU, focusing on securing emerging technologies like 5G and blockchain. Labs/Teams: Leads the ADWISE Lab, collaborating on projects like secure IoT payment systems, drone communication security, and resilient smart grid networks.

Mona Ghassemiمشاهده پروفایل

دانشیار

• Transportation Electrification
• Clean Energy
• Electrical Insulation Materials and Systems
• +۳ مورد دیگر

Dr. Mona Ghassemi is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Texas at Dallas, affiliated with the Erik Jonsson School of Engineering and Computer Science. She leads the ZEROES Lab , focusing on advancing Transportation Electrification , Clean Energy , Electrical Insulation Materials , and Plasma Science . Her research addresses challenges in high-voltage engineering for all-electric aircraft, lunar power systems, and resilient power grids. Education: Ph.D. in Electrical Engineering (University of Tehran, 2012). Awards include the NSF CAREER Award and AFOSR Young Investigator Award. Current projects include optimizing MVDC cables for low-pressure aircraft environments and developing high-power-density insulation systems. Research interests emphasize Medium Voltage DC (MVDC) systems for aviation Dielectric materials under extreme conditions Grid hardening against hurricanes Unconventional transmission line designs Recent work highlights advancements in electrical insulation resilience , plasma diagnostics , and sustainable power systems . Over 150 publications span topics like partial discharge analysis, corona inception, and high-frequency power electronics packaging. Advising 12 PhD students in projects such as lunar power cable prototypes and WBG power module encapsulation. Active in technical committees like DEIS and collaborates on NASA’s N3-X aircraft DC power system designs.

• Computer Security
• Operating Systems Security
• Cloud Computing Security
• +۳ مورد دیگر

Jidong Xiao serves as a Senior Lecturer in the Department of Computer Science at Rensselaer Polytechnic Institute (RPI), where he contributes to teaching and research in system security and virtualization technologies. His academic foundation includes a PhD from the College of William and Mary completed in 2016. Education: PhD in Computer Science, College of William and Mary (2016) Dr. Xiao's research spans computer security with specialized expertise in memory safety vulnerabilities, kernel-level security mechanisms, and hardware-assisted protection. His work addresses critical challenges in virtualization security, cloud infrastructure threats, and covert channel exploitation, frequently leveraging Intel platform features for innovative security solutions. Current investigations focus on fuzzing methodologies for use-after-free vulnerabilities and CPU-level covert communications. Analysis of his 15 most recent publications (2017-2024) reveals a sustained emphasis on low-level system security, with 73% of works addressing virtualization/cloud security and 60% exploring hardware-assisted techniques. His research demonstrates consistent progression from foundational virtual machine introspection (2017-2019) toward advanced topics including SGX-based patching (2020-2023) and cutting-edge CPU clock modulation exploits (2024). Scientific Awards: No scientific awards documented in source materials Available information does not specify graduate student supervision or research grant acquisitions. His technical contributions appear primarily through publications rather than advisory roles or funded projects. Laboratory affiliations and research team structures are not referenced in the provided documentation, though his work on Intel platform security suggests potential collaboration with hardware security groups.