جست‌وجوی استاد و پژوهشگر

Saba Eskandarianمشاهده پروفایل

استادیار

• Applied cryptography
• Security
• Privacy
• +۳ مورد دیگر

Saba Eskandarian is an Assistant Professor in the Department of Computer Science at the University of North Carolina at Chapel Hill within the College of Arts and Sciences. Her research focuses on applied cryptography, security, and privacy with emphasis on metadata-hiding communication systems and secure messaging protocols. Her research interests span applied cryptography , security , and privacy , with particular expertise in metadata-hiding communication, secure messaging protocols, cryptographic privacy techniques, payment system security, and side-channel attack mitigation. Her work bridges theoretical cryptographic primitives with practical system implementations. Analysis of her recent publications reveals a strong trend toward practical privacy-enhancing technologies for real-world systems. Her research consistently addresses the tension between privacy guarantees and system functionality, particularly in communication systems and payment networks. She has made significant contributions to abuse reporting mechanisms in private messaging and compression side-channel vulnerabilities. Runner-up for Andreas Pfitzmann Best Student Paper Award (PETS 2021) As an advisor, she currently mentors Matthew Gregoire and has previously advised Maggie Pierce (MS 2022-24), Britney Bourassa (MS 2022-24), and Connor Bell (MS 2021-23). She serves on numerous prestigious program committees including IEEE S&P 2025, Eurocrypt 2025, PETS 2025, and ACM CCS 2023, while also providing external reviews for top security conferences.

• High-Performance Data Transfer
• Parallel Data Processing
• Memory-Safe Programming (Rust)
• +۳ مورد دیگر

Róbert Tornai serves as an Associate Professor in the Department of Data Science and Visualization at the Faculty of Informatics, University of Debrecen, Hungary. His institutional affiliation encompasses active participation in the department's core mission of advancing data processing, visualization, and computational methodologies within Hungary's academic landscape. His primary research focuses on high-performance data transfer in supercomputing environments, parallel data processing using memory-safe Rust programming, and virtual collaboration system development. These interconnected domains emphasize optimizing data-intensive workflows while ensuring system security and user accessibility, reflecting contemporary challenges in distributed computing infrastructure. Analysis of his 15 most recent publications reveals dominant trends in high-speed connectionless networking protocols (2020-2025), where he investigates performance optimization, error detection, and encryption for file transfer systems. Significant secondary themes include biometric security applications (iris/voice recognition) and GPU-accelerated image processing techniques leveraging WebAssembly and Vulkan API, demonstrating technical versatility across networking, security, and visualization domains. His scholarly output consistently addresses practical implementation challenges in data transfer and secure systems, with recent work extending into educational technology applications of 3D printing. This trajectory indicates sustained engagement with evolving computational paradigms while maintaining focus on real-world system performance and security requirements.

Martin Brehmerمشاهده پروفایل

پژوهشگر ارشد

• IT Security Awareness
• Cybersecurity
• Information Security Education
• +۶ مورد دیگر

Martin Brehmer is a Research Fellow at the University of Augsburg , affiliated with the Department of Business Administration under the School of Business . He contributes to the Financial Data Analytics Chair led by Prof. Dr. Jan Muntermann, focusing on information security education, generative AI applications, and gamification techniques. Education: B.Sc. in Information Systems with focus on IT Security, Dualen Hochschule Baden-Württemberg Heidenheim M.Sc. in Computer Science and Information Management, University of Augsburg Exchange Semester at Norwegian University of Science and Technology, Trondheim Research Interests: IT Security Awareness Training Measuring Information Security Behavior Generative AI in Educational Content Creation Gamification for Learning Systems Design Science Research Methodology Recent Article Trends: His work bridges cybersecurity education with behavioral science and AI, emphasizing measurable training efficacy through gamified systems, interactive media, and holistic metrics. Key themes include SME security training, scavenger hunt-based behavioral assessments, and AI-driven learning object design. Scientific Awards: 2021 ECIS Best Research-in-Progress Paper Nomination 2023 Prize for Digital Teaching, University of Augsburg 2025 Exceptional Review Service, WISP - SIG SEC Advising and Collaborations: Actively involved in academic advising as part of the Financial Data Analytics team. Participates in conference program committees (HICSS, WI, ICIS, AMCIS) and journal reviews (Computers & Education, Electronic Commerce Research).

Valtteri Vuorisaloمشاهده پروفایل

استاد

• Crisis Management
• International Relations
• National Security
• +۵ مورد دیگر

Valtteri Vuorisalo serves as a Professor of Practice in Politics, contributing significantly to crisis management, national security, and technology geopolitics through 24 research outputs and extensive public engagement. His work addresses Finnish and Nordic security contexts within global frameworks, emphasizing practical policy applications. His research is dominated by Crisis Management (100% of his scholarly fingerprint), with complementary focus on International Relations (16%), management architecture, and concept development. Recent investigations target disruptive technologies, cloud security, supply chain resilience, and space-based secure communications, reflecting evolving security challenges. Analysis of 2022-2024 publications reveals strong emphasis on technology's geopolitical dimensions, including disruptive tech impacts on Finland, data-driven leadership, and northern security architectures involving the UK. His work bridges theoretical insights with practical recommendations through professional journals and public media. Vuorisalo actively mentors security professionals, having supervised master's students, and maintains extensive public engagement with 74 recorded activities (46 invited lectures, 12 public talks) on NATO markets, technology geopolitics, and supply chain security.

Ahmed Bouabdallahمشاهده پروفایل

پژوهشگر

• Cybersecurity
• Network Security
• Internet of Things (IoT)
• +۱۳ مورد دیگر

Ahmed Bouabdallah is a full-time researcher at IMT Atlantique's Department of Network Systems, Cybersecurity and Digital Law , with a focus on advanced network security solutions and distributed systems. His work bridges theoretical frameworks with practical implementations in emerging technologies. Key research areas: Cybersecurity, Internet of Things, Software Defined Networking Academic collaborations: Aalborg University, Inria, CNRS, Orange Labs His recent publications analyze AI-driven Kubernetes scaling, malware propagation in 5G networks, and WoT (Web of Things) security architectures. These works demonstrate his expertise in balancing operational costs with Quality of Service (QoS) requirements. From 2015 to 2024, his research trajectory shows increasing specialization in: Container orchestration security Intent-based network mitigation Microservices synchronization Smart space access control Emergency response systems Real-time policy evaluation While no formal academic awards are listed, his publications in Journal of Ambient Intelligence , IEEE , and Sensors indicate significant industry and academic impact.

Philip Waltherمشاهده پروفایل

استاد

• Quantum Computing
• Quantum Information
• Quantum Cryptography
• +۳ مورد دیگر

Philip Walther is a Professor at the University of Vienna's Faculty of Physics, specializing in Quantum Optics, Quantum Nanophysics, and Quantum Information. He leads cutting-edge research in quantum computing, cryptography, and photonic processing. University of Vienna – Faculty of Physics Harvard University (Postdoctoral Researcher, 2006–2008) University of Latvia (Visiting Researcher, 2024) His research encompasses quantum superposition, indefinite causal order, and secure quantum networks. Key projects include GRAVITES (gravitational interferometry) and Quantum Secure Networks Partnership. Publications span quantum machine learning, entanglement distribution, and photonic processors. Recent collaborations focus on quantum cryptography and European research networks. He holds a 2020 Fellowship from the Optical Society of America and distinctions for quantum logic gates and secure protocols. Quantum-enhanced photonic processors Secure metropolitan fiber networks Gravitational interferometry with entangled states Walther actively participates in academic events like the EPIQUE Annual Meeting and contributes to public engagement through media appearances, including Scientia Global and IEEE publications.

• Wireless Communications
• Network Security
• Information Theory
• +۷ مورد دیگر

Benoît Geller is a Full Professor at IP Paris (Institut Polytechnique Paris)-ENSTA in the Computer Science and Systems Engineering Unit (U2IS). He heads the Specialized Master on autonomous systems for Defense (ILEMs) and has extensive experience in wireless communications research, particularly focusing on security and safety for defense applications. Accreditation to Lead Research (HDR) in Information Sciences from University of Paris (2004) PhD in wireless communication networks from INPG (1992) Engineering Master in Telecommunications from ENSERB (1988) Professor Geller's research focuses on wireless network security, with expertise in protecting communications against environmental interference and intentional attacks. His work spans from theoretical foundations in information theory and coding to practical applications in underwater acoustic channels, tactical communications, and IoT networks. He has developed innovative approaches using finite fields algebraic error correcting codes, turbo and LDPC codes, cryptography, and Bayesian inference techniques. His publication record shows a consistent focus on underwater communication systems, signal processing techniques, and security mechanisms. The research demonstrates a progression from theoretical foundations to practical implementations, with recent work emphasizing energy efficiency and resistance to jamming in tactical communication scenarios. His work has significant applications for the French Ministry of Defense. Knight of Academic Palms (2018) IEEE Senior member (2010) French Navy Reserve Superior Officer (2006) Professor Geller has led numerous European projects including Mast AIDA, Medea+ INCA, Medea+ MIDAS, Newcom++, Horizon 2020 Bridges, and MarTERA Bioglider. With approximately 100 international publications and 4 pending international patents, his research has made significant contributions to the field of secure wireless communications. He previously served as head of the Multisensor and Information Team at SATIE lab (Ecole Normale Superieure Paris Saclay) before joining ENSTA Paris in 2007-08.

Xiangfan Chenمشاهده پروفایل

استادیار

• Advanced Manufacturing
• Additive Manufacturing
• 3D Printing
• +۷ مورد دیگر

Xiangfan Chen is an Assistant Professor at Arizona State University's School of Manufacturing Systems and Networks and a member of the Fulton graduate faculty in Aerospace and Mechanical Engineering and Materials Science and Engineering programs. His research focuses on advanced manufacturing technologies, including 3D printing and nanoimprinting, for applications in photonics, biomedical engineering, and energy systems. Ph.D. in Mechanical Engineering, Northwestern University (2018) B.S. in Mechanical Engineering, Shanghai Jiao Tong University (2012) Chen's research explores micro/nano-additive manufacturing for functional devices, with a particular emphasis on metamaterials , optical systems , and energy conversion technologies. His lab develops innovations in photopolymerization-based 3D printing and printable functional materials like hydrogels and liquid crystal elastomers. Recent publications highlight his work on high-resolution 3D printing techniques and multifunctional material development . His research group has secured funding from the Arizona Biomedical Research Commission and collaborates on NSF-supported metal 3D printing projects . ABRC New Investigator Award (2025) NSF grant as Co-PI (2019) Chen's lab recruits graduate students with expertise in optics , micro/nano-electronics , and materials science for projects in advanced photonic devices and high-efficiency energy systems . He teaches courses like Micro/Nano Additive Manufacturing and Engineering Statistics .

Tianxing Heمشاهده پروفایل

استادیار

• AI Safety
• AI-driven Simulation
• Large Language Models
• +۵ مورد دیگر

Tianxing He is an Assistant Professor at Tsinghua University's Institute for Interdisciplinary Information Sciences (IIIS), also known as the Yao Class, which he joined in September 2024. He also works part-time at Shanghai Qi Zhi Institute where he recruits for research-oriented positions and video game development roles. His academic journey includes a postdoc at the University of Washington under Yulia Tsvetkov, a PhD at MIT supervised by James Glass, and bachelor's and master's degrees at Shanghai Jiao Tong University in the ACM honored class under Prof. Kai Yu. Dr. He's research spans AI safety and AI-driven simulation with particular focus on large language models. His work examines LLM capabilities in cryptography (AICrypto benchmark), security vulnerabilities (jailbreaking techniques), multi-agent system integrity, and socially impactful applications like vaccine hesitancy simulation (VACSIM framework). He has developed visualization tools like MiniAgents-Pro using Unity for generative agent simulation and created watermarking techniques such as SemStamp and k-SemStamp for detecting machine-generated text. His publication record shows consistent contributions to top-tier conferences including ACL, EMNLP, NeurIPS, and ICLR, with recent work focusing on evaluating LLM capabilities across diverse domains. The research demonstrates sophisticated understanding of both the technical aspects of language models and their broader societal implications, particularly in security and ethical considerations. Scientific Awards: The Best Paper Award at the Efficient Natural Language and Speech Processing Workshop (NeurIPS ENLSP 2022) for "PCFG-based Natural Language Interface Improves Generalization for Controlled Text Generation" Dr. He actively mentors students and recruits research interns, PhD candidates, and post-bachelor researchers. He plans to teach an undergraduate NLP course in Fall 2025 and organizes the IIIS AI Safety Lunch, a monthly gathering in Beijing for those working on AI safety. His recruitment efforts target students interested in LLM social simulation, AI+game development, and AI safety research, emphasizing the need for strong self-motivation and research passion. He leads research initiatives including the IIIS AI Safety Lunch series and has developed multiple visualization and simulation frameworks. His work sits at the intersection of AI safety, language modeling, and practical applications, with team collaborations spanning multiple institutions including MIT, University of Washington, and Shanghai Jiao Tong University.

Heng-Ming Taiمشاهده پروفایل

استاد

• Signal Processing
• Image Processing
• Power System Reliability
• +۱ مورد دیگر

Heng-Ming Tai is a Professor of Electrical and Computer Engineering at The University of Tulsa, where he serves as the graduate advisor in the ECE department. His academic journey began with a B.S. in Electrical Engineering from National Tsing-Hua University in 1980, followed by an M.S. in 1983 and a Ph.D. in 1987, both from Texas Tech University. Dr. Tai's research spans multiple critical areas in electrical engineering, with primary focus on signal/image processing , power system reliability , and power electronics . His work bridges theoretical foundations with practical applications, particularly in thermal management of IGBT module, monitoring technique for power converter, image encryption, biomedical image segmentation using neural network technique, and load control using age-of-information scheme. His research addresses contemporary challenges in power systems, including the integration of renewable energy sources and the development of more reliable and efficient power electronics systems. Analysis of Dr. Tai's recent publications reveals a strong trend toward interdisciplinary research that combines power systems engineering with advanced computational techniques. His work increasingly focuses on the intersection of power electronics, control systems, and data science, particularly in areas like age-of-information based control systems, reliability evaluation of composite power systems with renewable integration, and advanced thermal management strategies for power semiconductors. His research demonstrates a consistent evolution from fundamental power electronics toward more complex system-level challenges in modern power grids. As the graduate advisor for the Electrical and Computer Engineering department, Dr. Tai plays a crucial role in mentoring the next generation of engineers. While specific details about his grant history are not provided in the available information, his extensive publication record spanning multiple decades suggests a sustained research program with likely significant external funding support. Dr. Tai's work is centered in the Electrical and Computer Engineering department at The University of Tulsa, where he contributes to both the academic and research missions of the college. His research on power electronics and thermal management likely involves laboratory facilities for power converter testing and thermal analysis, though specific lab names are not mentioned in the available information.

Mazen Bou Khuzamمشاهده پروفایل

دانشیار

• Low Dimensional Topology
• Exotic R^4 Structures
• Contact Structures on 3-Manifolds
• +۲ مورد دیگر

Mazen Bou Khuzam serves as Associate Professor in the Department of Mathematics and Natural Sciences at the American University of Iraq, Sulaimani (AUIS), where he has contributed over eighteen years of university-level teaching experience in the Middle East. His academic foundation includes doctoral specialization in Geometry and Topology from the University of Cambridge. Education Ph.D. in Mathematics, University of Cambridge M.S. in Mathematics, American University of Beirut B.S. in Mathematics, American University of Beirut Research Focus Dr. Bou Khuzam's scholarly work centers on low dimensional topology, particularly exotic R 4 structures, contact geometry on 3-manifolds, and the Atiyah-Sutcliffe conjectures concerning point configurations in R 3 . His investigations extend to knot theory invariants and geometric inequalities, with recent publications demonstrating expansion into applied mathematics through chaotic image encryption systems. This evolution reflects both theoretical depth and practical adaptation within geometric frameworks. Publication Trends His 15-year publication trajectory (2006-2022) reveals sustained engagement with topological invariants, transitioning from pure topology (exotic R 4 studies) toward geometric inequalities and computational applications. The 2021-2022 works on convex quadrilaterals and image encryption indicate strategic interdisciplinary movement while maintaining core topological principles. Keyword analysis shows consistent emphasis on geometric structures with growing computer science intersections.

Erik Klineمشاهده پروفایل

پژوهشگر

• Network Security
• Anomaly Detection
• DDoS Defense
• +۵ مورد دیگر

Dr. Erik Kline is a Computer Scientist and Research Lead at the Information Sciences Institute (ISI) of the University of Southern California (USC), leading critical research in network and cyber-security through projects including SABRES (DARPA OPS-5G), APROPOS (DARPA SearchLight), and DREAMS (NSF). His educational background includes: B.S. in Computer Science from Georgia Institute of Technology M.S. in Computer Science from University of California, Los Angeles Ph.D. in Computer Science from University of California, Los Angeles Dr. Kline's research centers on network security with emphases on anomaly detection, line-rate traffic analysis, DDoS defense mechanisms, anonymity systems, and security-aware routing protocols. His innovative work in large-scale network modeling enables scientifically rigorous experimentation and validation of complex network systems, directly addressing evolving cybersecurity threats through both theoretical frameworks and practical implementations. His publication record demonstrates consistent advancement in network security testbeds, traffic analysis, and defensive architectures. Key themes include machine learning applications for encrypted traffic classification, novel approaches to DDoS mitigation through traffic deflecting and authentication, and foundational work on security-aware routing systems. These contributions collectively strengthen network infrastructure resilience against sophisticated attacks while maintaining operational efficiency. No scientific awards were mentioned in the provided text. Dr. Kline directs substantial research funding as Principal Investigator on multiple high-impact projects including SABRES (DARPA OPS-5G), APROPOS (DARPA SearchLight), and EXCEED (DARPA XD3), alongside leadership in DREAMS (NSF) and EdgeLab (DARPA EdgeCT). His grant portfolio consistently bridges theoretical innovation with real-world deployment, evidenced by successful technology transitions to commercial applications. Based at USC/ISI's Network and Cyber-security Division, Dr. Kline actively develops and enhances DETERLab for cybersecurity experimentation. His team creates advanced network emulators capable of processing millions of packets per second while implementing realistic network impairments, supporting complex experiments in edge computing, 5G security, and cyber-physical systems through multi-institutional collaborations.

Michael Walfishمشاهده پروفایل

استاد

• Computer Systems
• Network Security
• Distributed Systems
• +۲ مورد دیگر

Michael Walfish is a Professor at the Courant Institute of Mathematical Sciences within New York University . His work focuses on computer systems, network security, and verifiable computation with applications in distributed systems and cybersecurity. Current faculty member (not retired or former staff) Teaching experience includes advanced systems courses like Operating Systems and Honors Operating Systems at NYU Research interests span multiple dimensions: Network security and defense mechanisms Verifiable computation systems Distributed system design Zero-knowledge proofs applications Hardware and software security Recent publications demonstrate strong focus on: Zero-knowledge systems (Zombie, Verifiable ASICs) Web and email security (Pretzel, Yesquel) Probabilistic verification (Less is more) Cryptographic protocols in systems (Cobra, DQE) Scientific recognition: Best Paper Award at SOSP 2017 Distinguished Student Paper Award at Security 2016

• Machine Learning
• Edge Computing
• IoT Security
• +۵ مورد دیگر

Younghyun Kim is an Associate Professor in the Department of Electrical and Computer Engineering at Purdue University. His research spans interdisciplinary domains including machine learning, edge computing, IoT security, and wearable medical devices, with a notable emphasis on agricultural technology via dairy cattle monitoring systems. Institution: Purdue University Department: Electrical and Computer Engineering Academic Rank: Associate Professor Kim's work focuses on energy-efficient systems, hardware-software co-design, and security mechanisms for IoT and medical devices. His recent publications highlight applications in dairy cattle health monitoring, virtual reality authentication, and distributed edge AI architectures. His 15 most recent articles reflect trends in agricultural IoT (e.g., MooBot, MmCows), secure device pairing (e.g., VoltKey, AeroKey), edge computing (e.g., Content-aware input scaling), and energy-efficient hardware (e.g., AxFTL, SAADI). Notable subfields include precision livestock farming, federated learning, sensor fusion, homomorphic encryption, hardware reverse engineering, and low-power design. Email: younghyun@purdue.edu

Karthikeyan Bhargavanمشاهده پروفایل

پژوهشگر

• Cryptography
• Cryptographic protocols
• Internet security
• +۳ مورد دیگر

Karthikeyan Bhargavan is a Research Director at Inria specializing in securing data exchanges on the Internet. He leads the Prosecco project team focused on cryptographic security mechanisms including protocols, smart cards, and encrypted databases. His research centers on developing formal methods for cryptographic security, notably creating the F* programming language to verify TLS protocols. His team's work uncovered critical vulnerabilities later confirmed by the 'Triple Handshake,' 'Freak,' and 'Logjam' attacks on TLS in 2014-2015. Current research under the ERC Consolidator Grant 'Circus' aims to design secure end-to-end cryptographic processes including browser security cores. Bhargavan's work bridges theoretical computer science with practical internet security applications, demonstrating how academic research can solve real-world problems in cryptographic systems. ERC Starting Grant (2010) - 'Crysp' (Collaborative cryptographic security proofs for programs) ERC Consolidator Grant (2015) - 'Circus' (Certified implementations of robust, cryptographically secure Web applications) Award at Real World Cryptography Conference (Stanford, January 2016) He teaches at École Polytechnique and as part of the Paris Master of Research in Computer Science (MPRI), mentoring the next generation of computer security researchers while leading a team that rivals top American university research groups in cryptographic security.