جست‌وجوی استاد و پژوهشگر

Vadim Safronovمشاهده پروفایل

پژوهشگر

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

Dr. Vadim Safronov holds dual roles as a Visiting Researcher at the University of Cambridge's Department of Computer Science and Technology and a Research Associate at the University of Oxford's Department of Computer Science. He earned his PhD in Computer Science from the University of Cambridge. His research focuses on IoT security and privacy, wireless communications, network architectures, and AI/ML applications in these domains. Key contributions include projects such as the UKRI DSbD initiative on Secure Networking by Design, the EPSRC PETRAS PRISM project on privacy-preserving IoT security, and the Innovate UK-funded Centre for Digital Built Britain (CDBB) where he developed a LoRaWAN network and Digital Twin Model for smart environments. Teaching roles include supervising Part 1B undergraduate students in Computer Networking at Cambridge and delivering practical sessions in Network Security and Security Principles for the MSc Software and Systems Security at Oxford. He has also contributed to academic service roles, including TPC positions for IEEE WoWMoM 2025 and PerFail 2025. His work spans grants like the £59k InnovateUK KTN CyberASAP grant for the 'IoTrim' project addressing IoT privacy threats. Notable research outputs include advancements in memory-safe IoT systems, decentralized IoT protection (SunBlock), and real-time data processing frameworks for smart cities.

Lorenzo Braccialeمشاهده پروفایل

استادیار

• Security & Privacy
• Distributed Systems
• eHealth
• +۷ مورد دیگر

Lorenzo Bracciale is an Assistant Professor in the Department of Electronic Engineering at the University of Rome "Tor Vergata". His academic journey began with a BSc in Telecommunication Engineering (2003), followed by an MEng (2006) and PhD (2010), all from the same institution. He has held significant research positions including Visiting Scholar at MIT's RLE (2011) and Trinity College Dublin (2015), and served as Unit Technical Coordinator for the H2020 EU project BPR4GDPR. PhD in Telecommunication Engineering and Microelectronics (2010) MEng in Telecommunication Engineering (2006) BSc in Telecommunication Engineering (2003) Bracciale's research spans security & privacy, distributed systems, and eHealth, with notable applications in wildlife conservation and medical technology. His work combines cryptographic techniques with machine learning to address challenges in digital health, IoT security, and blockchain applications. A distinctive aspect of his career is the Galápagos Pink Iguana conservation project, where he developed embedded systems for monitoring critically endangered species in remote environments. His publication record demonstrates a consistent focus on practical applications of theoretical concepts, with recent work emphasizing medical device security, blockchain privacy solutions, and IoT systems for both healthcare and wildlife conservation. The pattern shows increasing integration of machine learning with traditional security approaches, particularly in healthcare contexts. Bracciale actively contributes to the startup ecosystem through ventures like Sharigo (smart mobility solutions) and Anyway (medical practice management software). His speaking engagements cover critical topics at the intersection of AI, telemedicine, and digital healthcare infrastructure, reflecting his commitment to translating research into real-world impact. His laboratory work centers around developing secure, efficient systems for data collection and processing in constrained environments, with applications ranging from satellite communications to wildlife monitoring. Current projects include advanced cyber ranges for satellite security training and innovative approaches to medical data privacy.

Roger Mongمشاهده پروفایل

دانشیار

• Topological Phases
• Quantum Simulation
• Condensed Matter Physics
• +۳ مورد دیگر

Roger Mong is an Associate Professor in the Department of Physics & Astronomy at the University of Pittsburgh's Dietrich School of Arts and Sciences. His research focuses on topological phases of matter, quantum simulation techniques, and quantum computing. He holds an NSF CAREER Award (2019) and has contributed to advancements in understanding topological insulators, fractional quantum Hall systems, and tensor network methods for simulating quantum systems. His work bridges theoretical condensed matter physics and quantum information science, with key contributions to topological order characterization, error-correcting quantum codes, and the development of novel quantum simulation platforms. Mong has also explored the interplay between symmetry, topology, and quantum dynamics in systems such as superconducting heterostructures and Rydberg atom arrays. Key Research Themes: Topological phases and their nonlocal invariants Tensor networks for higher-dimensional quantum simulations Quantum error correction via topological codes Quantum Hall edge states and thermalization dynamics Awards: NSF CAREER Award (2019) Advising: Mentor for graduate students in theoretical condensed matter physics. His research group actively collaborates on experimental efforts to realize topological materials and scalable quantum architectures, with a focus on advancing both fundamental theory and applied technologies.

Jesse Tooheyمشاهده پروفایل

عضو هیئت علمی

• Digital Fabrication
• Generative Design
• Architectural Design
• +۵ مورد دیگر

Jesse Toohey is an Adjunct Lecturer and Fabrication Labs Manager at Tulane University's School of Architecture. He holds a B.S. in Architecture from Tulane University. His roles combine industry experience with academic teaching, focusing on digital fabrication, generative design, and non-standard construction methods. As Fabrication Labs Manager, he oversees workflows, safety practices, and student training in advanced manufacturing techniques. Education: B.S. in Architecture, Tulane University. Research interests include challenging conventional architectural standards through projects like 'No Standards: A Hill of Beans,' which explores non-rectilinear geometries and unconventional material uses. Collaborations include work with students and faculty on projects questioning standardization in built environments. Teaching includes courses such as DESG 4931 (Advanced Digital Making), DESG 3010 (Prototyping Solutions), and ARCH 2311 (Digital Media), emphasizing computational tools (Rhino3D, Grasshopper) and hands-on fabrication skills. He coordinates labs and workshops for CNC routers and other digital fabrication equipment. Awards: None explicitly listed. Advising/Grants: No specific grants or formal advising roles noted beyond collaborative projects. Hobbies include rock climbing, tattooing, and vintage shopping.

Paolo Modestiمشاهده پروفایل

مدرس ارشد

• Cybersecurity
• Formal Methods for Security
• Security Protocols
• +۵ مورد دیگر

Paolo Modesti is a Senior Lecturer in Cybersecurity at Teesside University's School of Computing, Engineering and Digital Technologies. He holds a PhD in Computer Science from Ca' Foscari University Venice, Italy, and an MSc from the University of Udine. His research focuses on security protocols, formal methods, and tool development for secure systems. He is a Fellow of the Higher Education Academy and a licensed professional engineer. Dr. Modesti's work includes designing formal verification frameworks (e.g., AnBx compiler/IDE) and analyzing protocols like Open Banking APIs and Bitcoin's Payment Protocol. He actively contributes to academic conferences (e.g., IEEE, ACM) and serves on program committees for security-related events. His teaching roles include leading the BSc Cyber Security program and modules on Ethical Hacking and Security Analysis. Research interests span security protocol modeling, automatic code generation, intrusion detection systems, and blockchain security. He advocates bridging the gap between academic tools and industry practices through frameworks like PTES and MITRE ATT&CK. His tools, such as the AnBx ecosystem, aim to simplify formal methods adoption for practitioners.

Eric Kellerمشاهده پروفایل

دانشیار

• Computer Networks
• Software-Defined Networking
• Network Security
• +۲ مورد دیگر

Eric Keller is an Associate Professor in the Department of Electrical, Computer & Energy Engineering at the University of Colorado's College of Engineering. His research focuses on computer networks, network security, and cloud/edge computing, with particular emphasis on software-defined networking and efficient resource allocation in distributed systems. Keller's research spans several interconnected domains including network virtualization, hardware acceleration, container-based computing, and security protocols. His work often bridges the gap between theoretical networking concepts and practical system implementations. Through his publications, Keller demonstrates consistent focus on optimizing network performance and security, particularly in cloud and edge computing environments. His recent work shows growing interest in hardware-level acceleration and AI-enhanced networking solutions.

Adrian Marius DEACONUمشاهده پروفایل

دانشیار

• Combinatorial optimization
• Network flow analysis
• Inverse problems in networks
• +۵ مورد دیگر

Adrian Marius DEACONU is an Associate Professor at the Department of Mathematics and Computer Science, Faculty of Mathematics and Computer Science, University of Brașov. His research focuses on combinatorial optimization, network flow analysis, inverse problems in networks, graph theory, and algorithm design with applications in transportation networks, photovoltaic systems, disaster logistics, and computational epidemiology. Recent work includes developing GPU-accelerated algorithms for maximum flow problems, fuzzy optimization approaches for disaster relief logistics, and parameter estimation methods for photovoltaic cells. He has contributed to theoretical advancements in inverse flow problems and pathfinding algorithms under constraints such as network losses and adversarial disruptions. His publications span diverse applications including vaccination efficacy modeling, robust vehicle routing under attacks, and geomagnetic map construction using inverse methods. He maintains an active research agenda in network optimization with a focus on bridging theoretical mathematics and practical engineering solutions.

Nick Feamsterمشاهده پروفایل

استاد

• Network Performance
• Cybersecurity
• Internet Privacy
• +۶ مورد دیگر

Nick Feamster is the Neubauer Professor of Computer Science at the University of Chicago and Director of Research at the Data Science Institute. He previously held full professorships at Princeton University and Georgia Tech, directing the Center for Information Technology Policy and the School of Computer Science, respectively. His research focuses on network performance, security, privacy, and equitable internet access, with applications in AI-driven systems, human-computer interaction, and policy. Key roles include leading the Network Operations and Internet Security (NOISE) Lab and co-founding the Internet Equity Initiative. Feamster holds a Ph.D. and S.B./M.Eng. from MIT (Computer Science/Electrical Engineering). Notable recognitions include the ACM Fellowship, Presidential Early Career Award (PECASE), and multiple best-paper awards. His work bridges academia and policy, collaborating with entities like the FCC and City of Chicago. The NOISE Lab develops data-driven systems for network traffic analysis, addressing human behavior insights and security challenges. Recent projects include deploying Netrics for community internet testing and analyzing encrypted DNS protocols. Feamster’s research spans machine learning for network traffic analysis, censorship circumvention (e.g., Infranet), and software-defined networking (SDN). His lab emphasizes real-world impact through open-source tools like NetML and nPrint. Personal interests include marathon running, completing iconic races like Comrades Marathon in South Africa.

Romain Jacobمشاهده پروفایل

مدرس

• Computer Networks
• Real-Time Systems
• Wireless Communication
• +۵ مورد دیگر

Romain Jacob is a Lecturer at the Department of Information Technology and Electrical Engineering at ETH Zürich, where he also holds a postdoctoral researcher position in Prof. Laurent Vanbever's group. His research focuses on computer networks, real-time systems, and sustainable networking, with an emphasis on reproducible experimental design and open science advocacy. He completed his PhD under Prof. Lothar Thiele at ETH Zürich in 2019, followed by a visiting scholar position at UC Berkeley in 2014. His academic background includes a Master of Science in Engineering of Complex Systems from École Normale Supérieure de Cachan (now ENS Paris-Saclay). Key research interests include: Time-triggered wireless architectures for cyber-physical systems Energy-efficient networking and sustainability Reproducibility frameworks like TriScale Real-time communication protocols Notable contributions include the Best Paper Award at HotCarbon'24 for work on router energy optimization. He actively promotes open science through initiatives like the ORCID Researcher Advisory Council and serves as Editor-in-Chief for JSys. His teaching includes a master's lecture on Sustainable Networking, emphasizing practical applications and open educational resources. He collaborates with the Swiss Reproducibility Network (SwissRN) to advance rigorous research practices.

• Network Security
• Android Security
• Cloud Computing Security
• +۷ مورد دیگر

Manoj Singh Gaur is a Professor in the Department of Computer Science and Engineering at Malaviya National Institute of Technology Jaipur (MNIT Jaipur), India. With a publication record spanning over two decades from 2003 to present, he has established himself as a prominent researcher in computer security and architecture. His work primarily focuses on network security, Android security, and Network-on-Chip architectures, with extensive collaborations with researchers from institutions worldwide including University of Padua (Italy), University of Southampton (UK), and other Indian institutions. Dr. Gaur's research interests encompass a broad spectrum of cybersecurity challenges, particularly in mobile and cloud environments. His work addresses critical issues such as Android malware detection, information leakage prevention, DDoS mitigation in cloud environments, and secure deduplication techniques. In computer architecture, he has made significant contributions to Network-on-Chip design, fault tolerance mechanisms, and power-efficient router microarchitectures. His research methodology often combines theoretical analysis with practical implementation, resulting in solutions that address real-world security and performance challenges. Analysis of his recent publications (2020-2023) reveals a continued focus on mobile security, particularly Android application security, with numerous papers on vulnerability detection, permission analysis, and information leakage prevention. Simultaneously, his work in Network-on-Chip architectures demonstrates sustained interest in fault-tolerant routing algorithms and performance optimization for multi-core systems. The interdisciplinary nature of his research, bridging security and architecture concerns, represents a distinctive contribution to the field. Dr. Gaur has mentored numerous students who have co-authored publications with him, indicating an active research group focused on cutting-edge security and architectural challenges. His collaborative approach is evident in the diverse set of co-authors spanning multiple continents, reflecting international recognition of his expertise.

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +۶ مورد دیگر

Shwai He is a PhD student and Affiliate Assistant Professor at the University of Maryland, advised by Ang Li. Their research focuses on advancing AI systems through innovative approaches in large language models (LLMs), fairness in machine learning, and efficient neural network architectures. Key areas include multi-agent systems, causal modeling for bias mitigation, and optimization techniques for mixture-of-experts models. Research interests span artificial intelligence, machine learning, and natural language processing with emphasis on practical applications like healthcare diagnostics and social pairing systems. Notable work includes developing GNWT-based multi-agent digital twins for social platforms and improving LLM transparency through token analysis. Publications highlight contributions to counterfactual fairness, dynamic-depth transformers, and parameter-efficient methods. Current efforts explore computational efficiency in vision-language models and bio-inspired antibody prediction systems. No scientific awards have been mentioned. Advising and grants: Currently a PhD student under Ang Li's supervision. Research involves collaborations across computer science and bioinformatics domains.

Konstantinos Yiannopoulosمشاهده پروفایل

دانشیار

• Optical Wireless Communications
• Network Optimization
• Signal Processing
• +۱۰ مورد دیگر

Dr. Konstantinos Yiannopoulos is an Associate Professor in the Department of Informatics and Telecommunications at the University of Peloponnese, Greece. He is affiliated with the Faculty of Economics, Management and Informatics. His research focuses on optical wireless communications , network optimization , error correction techniques , and high-speed data transmission systems . Key areas include resource allocation in metro-core networks, V2X communication protocols, and semiconductor optical amplifier applications. His work spans over 50 publications , with recent contributions addressing: Pre-amplified PPM receiver design Light-tree networks for latency optimization SDN architectures like NEPHELE for cloud data centers Fading mitigation in underwater optical systems He leads the Communication Networks and Applications Laboratory , exploring innovative solutions for optical wireless systems and network scalability. Current research emphasizes QoS-aware resource management in multipoint networks and techno-economic feasibility studies for metro-core infrastructure.

• Computer Vision
• Deep Learning
• Continual Learning
• +۴ مورد دیگر

Eugene Belilovsky is an Associate Professor at the University of Montreal's Department of Computer Science and Operational Research and an Assistant Professor at Concordia University's Department of Computer Science and Software Engineering. He is also an Associate Member of Mila – Quebec Institute for Artificial Intelligence. His research focuses on computer vision, deep learning, and their applications in areas like continual learning and few-shot learning at the intersection of vision and natural language processing. Belilovsky's expertise includes distributed systems, federated learning, and optimization. His work addresses challenges in model generalization, spurious correlations, and efficient training strategies. He has advised numerous graduate students, including Charles-Étienne Joseph, Medric B. Djeafea Sonwa, Gwendolyne Legate, and Irene Tenison. His recent publications highlight contributions to federated learning, continual pre-training, and fairness in AI systems. Notable work includes optimizing distributed learning protocols and mitigating forgetting in evolving data streams. Belilovsky's research also explores clinical applications, such as diagnosing hepatic steatosis using ultrasound imaging through deep learning techniques. He collaborates with institutions like Mila and the DIRO department, advancing interdisciplinary projects in AI-driven healthcare, robotics, and language modeling.

Feng Wangمشاهده پروفایل

استادیار

• Next Generation Internet
• Network Performance Measurement
• Big Data Verification
• +۶ مورد دیگر

Dr. Feng Wang is an Assistant Professor in the School of Engineering at Liberty University, specializing in network reliability, interdomain routing, and software-defined networking. His research addresses challenges in next-generation internet architectures, network performance measurement, and secure IoT device management. Education: B.E. in Electrical and Computer Engineering from Zhejiang University (China) M.S. in Electrical and Computer Engineering from Yanshan University (China) Ph.D. in Electrical and Computer Engineering from the University of Massachusetts, Amherst Research focuses on: - Detecting transient routing failures and improving network performance through real-time diagnostic systems (e.g., collaboration with AT&T). - Designing scalable addressing schemes for IoT and wireless sensor networks. - Developing intrusion detection systems (e.g., MOCA framework) and network anomaly mitigation techniques. His publications (2015-2023) emphasize network security, routing protocol optimization, and scalable internet architectures. Notable work includes BGP rerouting solutions, real-time routing failure diagnosis, and variable-length addressing for 6LoWPAN. No scientific awards were explicitly listed in the provided texts. Collaborations include Agilent, AT&T, and Intel, focusing on practical network reliability and security solutions. Dr. Wang has advised no listed students or managed grants in the provided texts. His research extends to lab implementations of lightweight routers (SoC-based) and stability-aware protocols for RPL networks.

Xavier de Carné de Carnavaletمشاهده پروفایل

استادیار

• Network Security
• Privacy
• Web Security
• +۴ مورد دیگر

Xavier de Carné de Carnavalet is an Assistant Professor at Radboud University's Digital Security group within the Faculty of Science. His research focuses on network security, privacy, web security, and applications of machine learning in cybersecurity. He holds a PhD from Concordia University (2019) and completed postdoctoral work at Carleton University's CCSL lab. Research Interests: Network Security & Privacy Passwords & Authentication Systems Embedded/Firmware Security Machine Learning for Cybersecurity Home Router Vulnerabilities TLS Interception Mechanisms Publications highlight trends in analyzing security configurations (home routers), detecting vulnerabilities (command injection in firmware), and evaluating TLS interception practices. His work often bridges technical security analysis with human factors influencing secure practices. He has contributed to major conferences like CHI, NDSS, and USENIX Security. Notable projects include analyzing password strength meters and verifying TrueCrypt's build integrity. Current research includes database breach analysis and cryptographic software hardening. Labs/Teams: Active contributor to the Digital Security group at Radboud University, collaborating with institutions like HK PolyU and Concordia's Madiba Security Research Group.