جست‌وجوی استاد و پژوهشگر

Dheryta Jaisinghaniمشاهده پروفایل

استادیار

• Wireless Networks
• Mobile Computing
• IoT Systems
• +۳ مورد دیگر

Dheryta Jaisinghani is an Assistant Professor in the Department of Computer Science at the University of Northern Iowa (UNI), affiliated with the College of Humanities, Arts, and Sciences. They hold a Ph.D. in Computer Science from Indraprastha Institute of Information Technology. Their research focuses on wireless networks, mobile computing, IoT systems, and machine learning applications in health monitoring and smart environments. Research interests include wearable sensor systems for activity recognition (e.g., tooth brushing detection, sleep posture analysis), low-cost IoT solutions for healthcare, and network optimization in dense WiFi environments. Their work integrates machine learning with sensor data to address challenges in social behavior analysis, indoor localization, and industrial robotics. Recent publications (2021–2024) explore topics like flying IoT networks, socially distanced classroom systems, and neural networks for social interaction tracking. Their work emphasizes practical, unobtrusive technologies with applications in healthcare, education, and industrial automation. No scientific awards or grants are explicitly mentioned in the provided text. No advisees are listed, though their teaching includes wireless networks and mobile computing. No lab affiliations are noted.

Hannah Caoمشاهده پروفایل

مدرس ارشد

• Computer Networks
• Cyber Security
• Distance Learning
• +۴ مورد دیگر

Hannah Cao is a Senior Lecturer in Computer Science Education and Director of Online Studies at King's College London's Department of Informatics. She holds a PhD from the National University of Singapore and prior academic roles including Principal Lecturer at the University of Hertfordshire, Research Fellow at NUS, and Assistant Professor at Huazhong University of Science and Technology. She is a Senior Fellow of the Higher Education Academy (SFHEA). Her research focuses on Computer Networks (Future Networking, IoT Protocol Design, Quantum-based Mobile Ad Hoc Networks), Cyber Security (Authentication Protocols, IoT Security, Blockchain Applications), and Distance Learning (Online Pedagogy, Academic Integrity, E-Learning Security). She leads initiatives in cybersecurity education innovation, including leveraging AI and blockchain for threat intelligence and curriculum design. Recent work includes studies on post-pandemic education impacts, SDN/P4 protocol evaluation, and inclusive group assessment strategies. She contributes to interdisciplinary research hubs like the Trusted Autonomous Systems Hub and King's Cybersecurity Centre, focusing on trustworthy systems and FinTech intersections. Awards include SFHEA recognition for educational excellence. Her 80+ publications span peer-reviewed journals/conferences, with emphasis on network security, education technology, and protocol design.

Jinhua Guoمشاهده پروفایل

دانشیار

• Networking
• Vehicular Networking
• Data Center Networking
• +۵ مورد دیگر

Jinhua Guo is an Associate Professor in the Department of Computer and Information Science at the University of Michigan-Dearborn's College of Engineering and Computer Science. He holds a Ph.D. from the University of Georgia and B.E./M.E. degrees in Computer Science from Dalian University of Technology. His research spans vehicular networking , mobile/cloud computing , cybersecurity , and optimization algorithms . His recent work focuses on data center energy optimization using neural networks, cache robustness in named data networks , and real-time task scheduling on multi-core processors . Earlier contributions include MAC protocols for vehicular networks and context-aware routing in VANETs . Scientific awards and grants include: NSF Grant (co-PI): Enhancing Pervasive/Mobile Computing Security Education (2014-2016) Amazon AWS in Education Grant (PI): 2012-2015 NSF Grant (PI): Mobile Computing Research for Automotive Applications (2005-2010) He has advised 14 graduate students, including: John P. Baugh (Ph.D., 2018) Vishal Singh (Ph.D., 2016) Jun Liu (Ph.D., 2015) Ryan Bankston (Ph.D. in progress)

Paul Fortierمشاهده پروفایل

استاد

• Digital Communications
• Internet of Things
• Cyber-Physical Systems
• +۷ مورد دیگر

Paul Fortier is a Full Professor at the Department of Electrical Engineering and Computer Engineering , Université Laval, with a career spanning over three decades. His work focuses on Digital Communications , Internet of Things (IoT) , Cyber-Physical Systems , and Wireless Communication Systems , particularly exploring complexity-performance tradeoffs in hardware implementations. PhD in Electrical Engineering, Stanford University (1989) MSc in Statistics, Stanford University (1987) MSc and BSc in Electrical Engineering, Université Laval (1984, 1982) His research integrates Machine Learning with FPGA architectures for applications like real-time hand gesture recognition and hardware-in-the-loop simulation . Current projects include Advanced Digital Twin Development and Quantum-Resistant Communication Protocols under the Quebec Strategic Microsystems Group . Key contributions appear in IEEE Transactions on Vehicular Technology , IEEE Internet of Things Journal , and IEEE Transactions on VLSI Systems . He has secured major grants from Fonds de recherche du Québec and NSERC for initiatives like Hardware-in-the-Loop Simulators and Wireless Cybersecurity Research . Fellow, Engineering Institute of Canada Fellow, Canadian Academy of Engineering Senior Member, IEEE

Kevin A. Angstadtمشاهده پروفایل

استادیار

• Computer Architecture
• Programming Languages
• Software Engineering
• +۵ مورد دیگر

Kevin A. Angstadt is an Assistant Professor in the Department of Mathematics, Computer Science, and Statistics at St. Lawrence University. His research bridges computer architecture, programming languages, and software engineering, focusing on programming support for emerging hardware technologies like FPGAs and custom accelerators. He teaches systems-oriented courses such as Computer Organization and Programming Languages. Ph.D., Computer Science and Engineering, University of Michigan (2020) MCS, Computer Science, University of Virginia (2016) B.S., Computer Science, Mathematics, and German Studies, St. Lawrence University (2014) His research explores automata processing for hardware acceleration, deterministic/non-deterministic finite automata for accelerators, and resiliency in autonomous vehicles. He develops tools like MNRL Network Representation Language, AutomataSynth, and RAPID Compiler for pattern-matching applications. Recent publications focus on hardware fault tolerance, autonomous system repair, and automata-based programming. Key conferences include ASPLOS, IEEE MICRO, and ICCPS. Awards include a $1.2M NSF grant (2022), TECHCON 2016 Best in Session, and Mac Krell Fellowship (2014–2017). He co-advises research projects and maintains the CS Grad Job and Interview Guide , a collaborative resource for academic career preparation. His lab works on open-source state machine ecosystems and hardware-software co-design frameworks.

Andrey I. Lyakhovمشاهده پروفایل

استاد

• Wireless Networks
• IEEE 802.11 Protocol
• Network Performance Analysis
• +۳ مورد دیگر

Andrey I. Lyakhov is a Professor and Doctor of Computer Science at the Institute for Information Transmission Problems of the Russian Academy of Sciences. He serves as the Head of Laboratory №18 and has been active since 1959. His research focuses on wireless networks, particularly IEEE 802.11 and 802.16 protocols. Position: Laboratory Chief Affiliation: Institute for Information Transmission Problems, Russian Academy of Sciences Research Interests: Wireless Networks, MAC Protocol Analysis, Network Performance, Distributed Control, Multicast QoS, Channel Assignment His work includes analytical modeling of data transmission, beaconing in mesh networks, and studies on network unfairness and congestion. He has contributed to patents in wireless sensor networks and piconet beacon management. Notable publications span wireless LANs, WiMAX, and sensor network optimization. Lyakhov's research has involved collaborations with international conferences and journals, focusing on throughput estimation, channel contention, and quality of service in wireless systems. Recent publications include studies on bandwidth piggybacking (2010), intra-flow interference in mesh networks (2010), and multicast QoS support in WLANs (2007). Earlier works from 1983-2008 cover foundational topics in queueing theory, cache efficiency, and distributed control systems.

• Operations Research
• Simulation Modelling
• Optimization Algorithms
• +۳ مورد دیگر

Dr William Jones is a Research Fellow in Planning and Optimisation at the University of Sydney, affiliated with the Australian Robotic Inspection and Asset Management (ARIAM) Research Hub and the Australian Centre for Field Robotics (ACFR). He holds a B.Sc. Eng. in Mechanical Engineering (Cardiff University, 2013) and an EngD in Systems (University of Bristol, 2019). His research focuses on Operations Research, simulation, and optimization of complex systems, particularly hybrid simulation methodologies. He has held postdoctoral roles at the University of Kent and the University of Sydney’s Rio Tinto Centre for Mine Automation. Research Interests: Dr Jones specializes in hybrid simulation models, combining multiple paradigms to optimize systems across transport, mining, healthcare, and telecommunications. His work emphasizes stakeholder engagement and model lifecycle management. Current projects include a digital twin for Garden Island’s dry dock in collaboration with Thales. Publications: His recent work spans hybrid simulation frameworks, rail network optimization, and wireless systems. Key themes include model development, stakeholder collaboration, and industry applications. He has contributed to journals like the Journal of the Operational Research Society and IEEE Transactions on Mobile Computing. Advising & Grants: While no advisees are listed, his industry collaborations highlight applied research funding. His work at ACFR and ARIAM involves significant grant-based projects focused on robotics and asset management. Labs & Teams: Active within the ACFR’s robotics and automation teams, he contributes to cross-disciplinary projects integrating robotics with operations research.

Suk Jin Leeمشاهده پروفایل

دانشیار

• Internet of Things
• Network Protocols
• Computer Vision
• +۳ مورد دیگر

Suk Jin Lee is an Associate Professor of Information Technology at James Madison University's College of Integrated Science & Engineering. His expertise spans IoT, network protocols, computer vision, machine learning, signal processing, and target tracking. He teaches a wide range of undergraduate and graduate courses, including computer networks, IoT, and algorithms. Lee holds a Ph.D. in Electrical & Computer Engineering from Virginia Commonwealth University (2012), an M.E. and B.E. from Pukyong National University, South Korea. His research focuses on IoT security protocols, embedded vision systems, medical imaging, and biomedical applications. Notable projects include IoT authentication frameworks, MRI super-resolution methods, and automated insulin delivery systems. He has contributed to nanosensor networks and real-time streaming solutions using Raspberry Pi. His work integrates machine learning into medical diagnostics and tumor motion prediction. Lee's teaching innovations include hands-on learning designs for computer organization and curriculum development in IoT education. He has held academic positions at Columbus State University (2016-2023) and Texas A&M University-Texarkana (2013-2016), and conducted postdoctoral research at the University of Maryland Medical Center. His publications highlight interdisciplinary approaches, combining IoT, blockchain, and medical technologies. Current research trends emphasize energy-efficient protocols, AI-driven medical imaging, and IoT security for smart devices. Lee has advised numerous projects in senior design and independent studies, focusing on practical implementations of theoretical concepts. His lab work involves developing frameworks for IoT appliance control and embedded vision systems.

Alireza Esfahaniمشاهده پروفایل

مدرس ارشد

• Cybersecurity
• Network Security
• IoT Security
• +۵ مورد دیگر

Dr. Alireza Esfahani is a Senior Lecturer in Cyber Security at the School of Computing and Engineering (SCE) at the University of West London, where he also serves as the Course Leader for the BSc (Hons) Cyber Security and BSc (Hons) Cyber Security with Foundation Year programs. Previously, he held a lecturing position at the University of Greenwich from 2021 to 2023. He earned his PhD in Telecommunications from the University of Porto, Portugal, through the MAP-TELE doctoral program in 2017, followed by postdoctoral research at the Instituto de Telecomunicações in Portugal (2017–2019). Education: PhD in Telecommunications (University of Porto, 2017) Experience: Research Associate at SnT-CritiX (University of Luxembourg), contributing to EU cybersecurity projects SPARTA and CyberSec4Eu Affiliations: European Cyber Security Organisation (ECSO) and IEEE member Research Interests: Dr. Esfahani focuses on cybersecurity in IoT, connected vehicles, intrusion detection, machine learning applications, and semiconductor supply chain security. His work emphasizes secure authentication mechanisms, network coding security, and resilient systems design. Teaching: He teaches courses in BSc and MSc programs, including Cyber Security, Computer Science, and specialized modules in network security and secure communication protocols. Grants & Projects: Instrumental in EU-funded initiatives like SPARTA and CyberSec4Eu, focusing on cybersecurity frameworks and distributed systems. Labs/Teams: Collaborated with SnT-CritiX at the University of Luxembourg, developing cybersecurity solutions for critical infrastructure.

• Software-Defined Networking
• Data Plane Programmability
• Data Plane Security
• +۶ مورد دیگر

Enio Kaljic is an Assistant Professor in the Department of Telecommunications at the Faculty of Electrical Engineering, University of Sarajevo. He holds a PhD in Telecommunication Engineering (2019) from the same institution, following a Master's (2010) and Bachelor's (2008). His career includes roles as a Teaching Assistant (2010–2014) and Senior Teaching Assistant (2014–2019) at the same department. Education: Bachelor's in Telecommunication Engineering, Faculty of Electrical Engineering, University of Sarajevo (2008) Master's in Telecommunication Engineering, Faculty of Electrical Engineering, University of Sarajevo (2010) PhD in Telecommunication Engineering, Faculty of Electrical Engineering, University of Sarajevo (2019) Research Interests: Kaljic focuses on advancing next-generation networks through software-defined networking (SDN), data plane programmability, and security. His work includes reconfigurable communication systems, FPGA-based hardware-software co-design, and quantum cryptography integration in 5G systems. Key areas include: Quantum Cryptography for 5G/6G Networks Data Plane Flexibility and Security Hardware-Accelerated Network Solutions Blockchain Applications in Telecommunications Notable Projects & Grants: Leading the NATO-funded Quantum Cybersecurity in 5G Networks (QUANTUM5) (2021–2024) Developing blockchain-based D2D communication protocols for 6G networks (2022) EU-funded BENEFIT project (2017–2020) to modernize telecommunications education Awards: Best Paper Award at the Seventh International Conference on Networking and Services (ICNS’11) Labs & Infrastructure: Active in the Department’s Reconfigurable Radio Communication Systems Lab , contributing to FPGA-based hardware-software co-design and SDN experimentation. Collaborates on multidisciplinary telecom labs funded by federal and cantonal ministries.

• Applied Cryptography
• Cryptographic Engineering
• Post-Quantum Cryptography
• +۴ مورد دیگر

Markku-Juhani Saarinen is a Professor of Practice in Computing Sciences at Tampere University, affiliated with the Faculty of Information Technology and Communication Sciences. He holds a Ph.D. from Royal Holloway, University of London (2009), and is a Docent in Cryptography and Information Security. His expertise spans applied cryptography, cryptographic engineering, post-quantum cryptography, and security assessments. He has led research on lattice-based cryptography, side-channel resistant implementations, and hardware security. Key contributions include the Round5 post-quantum encryption scheme, RISC-V entropy source interfaces, and the BLAKE2 cryptographic hash function. He has published extensively at top venues like CRYPTO, EUROCRYPT, and PQCrypto, and co-edited conference proceedings such as the 2024 PQCrypto workshop. His research focuses on securing cryptographic systems against quantum computing threats, optimizing implementations for embedded devices, and advancing hardware-software co-design for cryptographic primitives. He actively collaborates with industry and academia to bridge theoretical advancements with practical applications in secure communication and embedded systems.

• Cybersecurity
• Wireless Network Security
• Cryptographic Protocol Analysis
• +۳ مورد دیگر

Mathy Vanhoef is an Assistant Professor at the Faculty of Engineering Science of KU Leuven , affiliated with the Distributed and Secure Software (DistriNet) group and involved in multiple cybersecurity councils. His research focuses on wireless protocol vulnerabilities, particularly Wi-Fi security flaws in modern standards like WPA2 and WPA3. He has led significant projects on network protocol analysis and security mitigation strategies. Research Interests: Exploiting design flaws in wireless protocols Side-channel attack mechanisms Network stack security analysis Cryptographic protocol weaknesses Man-in-the-middle attack prevention Scientific Contributions: Discovered fundamental Wi-Fi vulnerabilities (FragAttacks) Exposed critical flaws in Cloudflare WARP and WPA3 implementations Developed testing tools for wireless protocol security Teaching: Vanhoef teaches courses including Introduction to ICT Security , CyberSecurity Basics , and Security Through the Software Lifecycle . He is actively involved in cybersecurity education and research at KU Leuven.

Emilia Ndilokelwa Weyuluمشاهده پروفایل

پژوهشگر

• Congestion Control
• Internet Traffic Analysis
• Transport Protocols
• +۳ مورد دیگر

Emilia Ndilokelwa Weyulu is a Ph.D. student and researcher in the Internet Architecture department at the Max Planck Institute for Informatics, Saarbrücken, Germany, with concurrent enrollment in Computer Science at Universität des Saarlandes. Her work focuses on internet congestion control mechanisms and transport protocol analysis within the Saarland Informatics Campus ecosystem. Her academic journey includes: Ph.D. in Computer Science (2019–present) at Universität des Saarlandes and Max Planck Institute for Informatics Master of Informatics (2016–2018) at Tokyo University of Information Sciences, thesis: Asymmetric RTS/CTS for Exposed Node Reduction Master of Computer Science (2014–2017) at Namibia University of Science and Technology, thesis: A Rate Adaptive and Forward Error Correction Scheme for Video Streaming in 802.11b WLANs Bachelor of Science in Computer Science and Statistics (2006–2011) at University of Namibia Weyulu's research centers on congestion control heterogeneity in internet infrastructure, with emphasis on BBRv3 protocol evaluation, in-band service routing, and network-assisted congestion feedback. Her work bridges theoretical protocol design with empirical measurement in public internet environments, extending to wireless networking challenges including ad hoc WLAN optimization and video streaming reliability. She employs cross-layer approaches to address exposed node problems and throughput limitations in wireless networks. Analysis of her 2024 publications reveals a concentrated focus on next-generation congestion control evaluation, particularly BBRv3's real-world performance across diverse network conditions. Her research combines protocol design with large-scale internet measurement, addressing both wired infrastructure challenges and wireless network constraints through innovative routing and feedback mechanisms. Weyulu has served as tutor for Data Networks courses during Winter 2018 and 2020 terms, and for the Hot Topics in Data Networks Seminar in Summer 2020 at Universität des Saarlandes. She also acted as student scribe for the CoNEXT 2020 TPC meeting, demonstrating active engagement in academic community service. As a core member of the Internet Architecture research group at Max Planck Institute for Informatics, she contributes to projects analyzing internet traffic patterns, transport protocol evolution, and network measurement methodologies within the institute's collaborative research environment on the Saarland Informatics Campus.

• Computer Science
• Networking
• Operating Systems
• +۴ مورد دیگر

Eric Brewer is a Professor in the Department of Computer Science at the University of California, Berkeley, part-time since July 2014 while also serving as a leader at Google. He is renowned for his work in operating systems, networking, and technology for developing regions. His academic journey includes a B.S. from UC Berkeley (1989) and a Ph.D. from MIT (1994), both in EECS. Brewer's research focuses on scalable systems, security, and energy-efficient technologies for underserved areas. He co-founded Inktomi Corporation and pioneered projects like FirstGov.gov (now USA.gov). His awards include the ACM Prize in Computing (2009) and membership in the National Academy of Engineering. Education: B.S. in EECS from UC Berkeley (1989), M.S. and Ph.D. in EECS from MIT (1994). Research interests span developing region technologies, programming languages, and networking. His work on DC microgrids and rural cellular networks highlights efforts to bridge the digital divide. Collaborative projects in Cambodia, India, Ghana, and other regions emphasize practical, sustainable solutions. Recent publications address energy systems, cloud computing, and low-cost connectivity. Awards include ACM Fellow, SIGOPS Mark Weiser Award, and Global Leader for Tomorrow recognition. His contributions to education include courses like CS169 (Software Engineering) and CS262A (Advanced Topics in Computer Systems).

• Security
• Privacy
• Wireless and Mobile Networks
• +۳ مورد دیگر

Hongyu Jin is a Researcher at the KTH Royal Institute of Technology in the Networked Systems Security (NSS) Group , led by Prof. Panos Papadimitratos. His work focuses on security and privacy in wireless and mobile networks , with emphasis on vehicular communication systems and decentralized location-based services. Primary Affiliation : Division of Software and Computer Systems, KTH Royal Institute of Technology Research Focus : Vehicular network security, DoS-resilience, privacy protection, and decentralized authentication mechanisms Research Trends : Hongyu Jin's publications highlight advancements in secure vehicular communication , including mitigation of Distributed Denial-of-Service (DoS) attacks , beacon verification , and Wi-Fi localization privacy . His work integrates cooperative security models and Bloom Filter-based certificate validation to enhance scalability and robustness in automotive networks. Additional Contributions : He has developed runtime MAC address re-randomization for Wi-Fi privacy, decentralized LBS frameworks , and scalable identity management infrastructures for vehicular systems.