جستجوی استاد راهنمای دانشگاهی

Liang Chengمشاهده پروفایل

استاد

• Cyber-Physical Systems (CPS)
• Internet of Things (IoT)
• AI/ML Applications
• +۷ مورد دیگر

Dr. Liang Cheng is the Department Chair and Professor in the Department of Electrical Engineering and Computer Science at the University of Toledo. He leads a department with ~700 students across CS, CSE, and EE programs. His research focuses on Cyber-Physical Systems (CPS), IoT, AI/ML, and intelligent infrastructure, supported by over $30M in funding from NSF, DOE, DOT, and industry. Notable projects include CPS Breakthrough initiatives and underground sensing systems. He co-edited a multidisciplinary book on Underground Sensing and contributed to smart grid cybersecurity. Dr. Cheng has held leadership roles at Lehigh University, shaping faculty governance and equity policies. His 100+ publications span networking, real-time systems, and sensor networks. He advises on funded projects totaling $30M+ and has pioneered pedagogical approaches in computer science education. Research Interests: Cyber-Physical Systems (CPS): Focuses on autonomous drones, energy systems, and real-time infrastructure Networking: Expertise in TSN, DTN, and wireless protocols Cybersecurity: SCADA systems, PLC attack detection, and blockchain energy modeling Underground Sensing: Geo-sensing via wireless signals and subsurface tomography Grants & Projects: Over 20 sponsored projects including NSF CPS Breakthrough (2018-2023), ABB smart grid projects, and DARPA-funded EDIFY systems. Key contributions include reconfigurable wireless architectures and network calculus tools for real-time systems. Teaching: Courses span senior design, compiler design, parallel computing, and wireless sensor networks. Developed pedagogical patterns for non-CS programming education. Awards: Recognized for leadership in academic governance and interdisciplinary research collaboration.

Xiaowei Yangمشاهده پروفایل

استاد

• Computer Networks
• Distributed Systems
• Network Security
• +۳ مورد دیگر

Xiaowei Yang is a Professor of Computer Science at Duke University, where she holds multiple leadership positions including Co-Director of Graduate Studies for the Master of Science in Economics and Computation Program and Director of Graduate Studies for the MS Program in the Department of Computer Science. She is a prominent researcher in computer networks and distributed systems with numerous publications in top-tier conferences and journals. Dr. Yang received her Ph.D. in Computer Science from Massachusetts Institute of Technology in 2004 and her B.S.E. in Electronic Engineering from Tsinghua University in China in 1996. Prior to joining Duke University, she served as an assistant professor in the Department of Computer Science at the University of California at Irvine. Dr. Yang's research focuses on large-scale computer systems, particularly computer networks and distributed systems. Her work addresses challenges that arise as computer systems scale in size and distribute across geographical locations, with emphasis on scalability, reliability, security, performance, and manageability. Her current research interests include developing practical ML/AI technologies to improve network reliability and security (AIOps), protecting online privacy and security of Internet users, and providing network and system support for latency-sensitive applications. Her research has significant practical impact, with several projects addressing real-world problems in cloud computing, content delivery networks, and broadband infrastructure. Dr. Yang's recent publications demonstrate a consistent focus on practical network systems research with strong empirical validation. Her work spans multiple aspects of networking including cloud infrastructure, content delivery, security protocols, and network measurements. A notable trend in her recent work is the increasing focus on privacy-preserving technologies and the security implications of modern web infrastructure, particularly concerning content delivery networks and third-party services. Among her notable recognitions is the prestigious NSF CAREER award, which supports early-career faculty who exemplify the role of teacher-scholars through outstanding research, excellent education, and the integration of education and research. Dr. Yang has secured significant research funding, including multiple National Science Foundation grants. Current projects include "CNS Core: Small: Optimizing IP Anycast Performance at Scale" (2022-2026) and previously led "CNS Core: Small: Collaborative Research: Improving the Reliability of Cable Broadband Networks with Proactive Network Maintenance" (2019-2023) and "FIA-NP: Collaborative Research: The Next-Phase MobilityFirst Project" (2014-2018). She is actively involved in mentoring students and has taught courses including Introduction to Computer Systems and Advanced Computer Networks. As part of the Duke Systems group, Dr. Yang collaborates with colleagues on various systems research projects. Her work often involves close collaboration with industry partners, particularly cloud service providers and content delivery networks, ensuring her research addresses real-world challenges in large-scale systems.

• Network and Service Management
• Cybersecurity
• Distributed Systems
• +۵ مورد دیگر

Aiko Pras is a Professor at the University of Twente in Enschede, Netherlands. His research spans network and service management, cybersecurity, and distributed systems, with a focus on DNS security, DDoS mitigation, IPv6, and software-defined networking. Research Interests: Network and Service Management Cybersecurity and DDoS Mitigation DNS Security and IPv6 Software-Defined Networking (SDN) Internet Measurement and Performance Critical Infrastructure Protection (ICS/SCADA) Article Trends: Pras's recent work emphasizes collaborative DDoS defense, DNS security, and IPv6 vulnerabilities. His studies often involve large-scale measurements and propose practical solutions for internet resilience and security. Collaborations: He frequently collaborates with Anna Sperotto, Roland van Rijswijk-Deij, and other experts in network security and measurement.

Alberto Dainottiمشاهده پروفایل

دانشیار

• Internet Measurement
• Cybersecurity
• Data Science
• +۶ مورد دیگر

Alberto Dainotti is an Associate Professor at the School of Computer Science, College of Computing, Georgia Institute of Technology (Georgia Tech), and Director of the Internet Intelligence Lab. His research focuses on Internet measurement, data science, and cybersecurity, with a particular emphasis on infrastructure reliability and socio-political implications of cyber events. Before joining Georgia Tech in 2014, he served as an Associate Research Scientist and Principal Investigator at CAIDA (Center for Applied Internet Data Analysis) at UC San Diego. He holds a Ph.D. in Computer Engineering and Systems from the University of Napoli 'Federico II', Italy (2008). He teaches courses such as Internet Data Science (CS 8803), Computer Networking I (CS 3251), and Computer Networks/Networking II (CS 6250/4251). Current students include Feng Zhu, Iliana Xygkou, Olivier Bemba, Weili Wu, Zahra Yazdani, and Zhiyi Chen. Former advisees have transitioned to roles at Amazon AWS Research, Northeastern University, UC Davis, Microsoft Azure, and VMware, among others. Research Interests: Internet Connectivity Outages & Mitigation BGP Routing Security & Monitoring Cybersecurity in Political Contexts Address Space Utilization DDoS/Botnet Analysis Network Measurement Tools Scientific Contributions: Developed systems like IODA, BGPStream, and GRIP for real-time Internet monitoring Recipient of the IRTF Applied Networking Research Prize (2012, 2017) Awarded Best Dataset (PAM 2022) and Best Community Artifact (PAM 2023) Authored over 50 publications in top venues including SIGCOMM, IMC, and NSDI Grants & Funding: National Science Foundation (NSF) grants CNS-1705024 / 2202288 and CNS-1703592 US Department of Homeland Security Cisco Systems, Comcast, ISOC, Google, and Open Technology Fund Labs & Collaborations: Internet Intelligence Lab (Georgia Tech) CAIDA collaboration (UC San Diego) MAPKIT project with University of Wisconsin-Madison Contributor to OECD and BITAG reports on routing security

Liang Zhangمشاهده پروفایل

استادیار

• Artificial Intelligence
• Mobile Edge Computing
• UAV Communications
• +۳ مورد دیگر

Dr. Liang Zhang is an Assistant Professor in the Department of Engineering and Aviation Sciences at the University of Maryland Eastern Shore (UMES). He holds a Ph.D. in Electrical Engineering from New Jersey Institute of Technology (NJIT) and an M.S. in Information and Communication Engineering from the University of Science and Technology of China (USTC). His research focuses on machine learning, mobile edge computing, UAV communications, wireless communications, and IoT, with an emphasis on resource optimization and algorithm design. Education: Ph.D., Electrical and Computer Engineering, NJIT (2014–2020) M.S., Information and Communication Engineering, USTC (2011–2014) B.S., Electronic Science and Technology, Huazhong University of Science and Technology (HUST) Research Highlights: Dr. Zhang has pioneered work on deep reinforcement learning algorithms for UAV-assisted edge computing, caching optimization, and latency reduction in IoT systems. His contributions include the BRIDGES testbed project at George Mason University (GMU), supported by a $2.5M NSF grant, and the development of QoE-optimized frameworks for wireless VR and airborne networks. Awards & Recognition: Outstanding Dissertation Award (NJIT, 2023) Hashimoto Prize (NJIT, 2020) IEEE GLOBECOM Travel Grant (2016) Best Paper Award (IEEE ICNC, 2014) Professional Contributions: He has published 32 peer-reviewed articles and serves as a reviewer for IEEE journals. His work integrates machine learning with networking challenges, addressing practical issues like spectrum sharing in 5G, energy-efficient VM management, and dynamic resource allocation in optical networks.

Anna Sperottoمشاهده پروفایل

دانشیار

• Internet Security
• Network Measurements
• DDoS Attacks
• +۳ مورد دیگر

Dr. Anna Sperotto is an Associate Professor in Proactive Network Security at the University of Twente's Design and Analysis of Communication Systems (DACS) group. She holds a PhD in Computer Science (2010) and MSc/BSc degrees from Ca' Foscari University. Research Focus: Internet security, network measurements, DDoS attacks, DNS infrastructure vulnerabilities Projects: MASCOT (2019), MADDVIPR (NWO-DHS), TIDE (SIDNfonds), H2020 CONCORDIA Her recent publications examine DNS reflection attacks, DDoS mitigation, and network security through active measurement systems. Key trends include DNSSEC security analysis, domain hijacking prevention, and cryptographic efficiency in network protocols. Scientific Awards: Best Paper at IMC 2020 and EUNICE 2009 IRTF Applied Networking Research Prizes (2015, 2013) Academic Service: General Co-Chair, IMC 2019 TPC Co-Chair, PAM 2020 Steering Committee: TMA, AIMS Editorial roles in ACM SIGCOMM CCR, IJNM, JNSM Current PhD Students: Matteo Liberato Sousan Tarahomi Etienne Khan Ramin Yazdani Raffaele Sommese

• Cloud Computing
• Networked Systems
• Cybersecurity
• +۷ مورد دیگر

Dr. Qiang Fu is a Senior Lecturer at RMIT University's School of Computing Technologies, specializing in Cloud, Networked Systems, and Security. He holds a PhD from The University of Queensland and is actively involved in industry collaborations. His research focuses on Internet and Cloud-based systems, including Content Delivery Networks (CDNs), data centre design, Cyber-Physical Systems (CPS)/IoT, virtualization, and SDN/NFV. Recent work emphasizes network telemetry, fault detection, and IoT workflow optimization. He has published extensively in top-tier journals and conferences like IEEE Transactions and IFIP NOMS. Dr. Fu supervises PhD/Master students in areas such as network security, cloud computing, and IoT. His projects are often industry-funded and address real-world challenges like network scalability and blockchain integration. He is open to supervising students in these domains through RMIT's scholarship programs.

Nina Skorin-Kapovمشاهده پروفایل

دانشیار

• Optimization of Communication Networks
• Wide-Area Optical Networks
• Operations Research
• +۳ مورد دیگر

Dr. Nina Skorin-Kapov is an Associate Professor at the Technical University of Cartagena, associated with the Centro Universitario de la Defensa de San Javier. She holds a PhD in Telecommunications and Informatics from the University of Zagreb and completed a postdoctoral fellowship at Telecom ParisTech. Her research focuses on optimization of communication networks, wide-area optical networks, operations research, and heuristic algorithms. She leads the Computational and Telecommunications Engineering Group (GICOT) and serves on the editorial board of the IEEE/OSA Journal of Optical Communications and Networking. Her academic roles include teaching undergraduate courses on Electromagnetic Exploration Systems and graduate courses on Metaheuristics and Graph Theory. Key research contributions include work on network security, routing algorithms, and capacity planning in optical networks. Notable projects include the Movilidad Ecoeficiente y Conectada para Ciudadanos initiative (2020–2022), funded by IDAE. Her publications span topics like wildfire resource scheduling, drone control systems, and secure optical network design. Dr. Skorin-Kapov’s articles emphasize practical applications of optimization techniques, such as scheduling aerial resources for wildfire management and improving QoE in drone teleoperation. Her work bridges theoretical research with real-world network challenges, particularly in telecommunications and disaster response scenarios.

• IPv6 adoption
• Network security
• DNS infrastructure
• +۶ مورد دیگر

Ioana Alexandrina Livadariu is a Research Scientist at the Center for Resilient Networks and Applications within Simula Metropolitan, affiliated with Simula Research Laboratory. Her work focuses on critical internet infrastructure analysis, particularly IPv6 adoption, network security, and geolocation technologies. Recent research highlights include: Investigating Forward-Confirmed reverse DNS in email authentication Tracking submarine cable deployments through network measurements Analyzing geofeed accuracy for IP geolocation Mapping Twitter activity during political transitions Assessing IPv4/IPv6 routing stability Her scientific contributions appear in major conferences like INFOCOM, PAM, and IMC, with a focus on network resilience and security protocols. Current projects examine: RPKI practices at IXPs MANRS/ISO27001 security framework gaps Country-level IP geolocation accuracy Multiconnectivity in IP networks Ioana has collaborated extensively with researchers across multiple institutions, contributing to network measurement methodologies and infrastructure analysis.

• Optical Networks
• Network Automation
• Spectrally-Spatially Flexible Optical Networks
• +۲ مورد دیگر

Piotr Lechowicz is a postdoctoral researcher at the Optical Networks (ON) Unit within the Department of Electrical Engineering at Chalmers University of Technology . He holds an M.Sc. (2016) and Ph.D. (2019) in Information and Communications Technology from the Wrocław University of Science and Technology in Poland. A member of IEEE since 2020, his work focuses on the modeling and optimization of optical networks, particularly in network automation, spectrally-spatially flexible optical networks, and network fragmentation. Education: M.Sc. in Information and Communications Technology (2016), Wrocław University of Science and Technology Ph.D. in Technical Information and Communications Technology (2019), Wrocław University of Science and Technology Research Interests: Lechowicz specializes in optical network modeling, optimization, and automation. His work addresses challenges in spectrally-spatially flexible and elastic optical networks, with a focus on time-varying traffic, resource allocation, and network fragmentation. He integrates machine learning techniques, including transfer learning and graph-based methods, to enhance network performance and reliability. Publications and Collaborations: He has co-authored 35 publications (10 JCR-indexed, 25 conference papers), often collaborating with researchers like Carlos Natalino Da Silva, Aleksandra Knapinska, and Paolo Monti. His projects involve time-varying traffic analysis, energy efficiency in multilayer networks, and explainable AI for network optimization. Professional Contributions: Lechowicz has reviewed over 60 scientific papers and participated in six projects funded by the Polish National Science Center and National Center for Research and Development. His methodological innovations include the Traffic Weaver tool for generating semi-synthetic network traffic data.

• Network Security
• Internet Routing
• BGP (Border Gateway Protocol)
• +۵ مورد دیگر

Dr. Vasileios Giotsas is a Visiting Researcher in the Department of Computing and Communications at Lancaster University. He is affiliated with multiple research groups including the Cyber Security Research Centre, Cyber Threat Lab, i-DID, SCC (Security), and various Security Lancaster entities focusing on networks and systems security. His research primarily focuses on network security, internet infrastructure, and routing protocols. Key areas of interest include BGP (Border Gateway Protocol), Anycast networks, honeypot technologies, industrial control system security, and internet measurement. His work bridges theoretical networking concepts with practical security applications, particularly in the context of critical infrastructure protection. Analysis of his recent publications reveals consistent focus on routing security, infrastructure mapping, and industrial control system defenses, with particular attention to BGP vulnerabilities and mitigation strategies. RIPE Fellowship CoNEXT 2015 Best Paper Award IRTF 2017 Applied Networking Research Prize (ANRP) EPSRC Doctoral Training Award Dr. Giotsas supervises PhD students, including Pierre Ciholas who works on research related to i-DID, SCC (Security), and various Security Lancaster groups. He has been active in the academic community through conference participation (including IEEE Globecom, ACM SIGCOMM, and RIPE meetings), invited talks, and workshop organization. His research projects include TAS-S (Trustworthy Autonomous Systems Node in Security, 2020-2024), Antikraak (protecting non-routed address space, 2020-2021), and Aethra (Intelligent RIPE Atlas Resource Allocation, 2018-2021).

• Operations Research
• Distributed Computing
• Linear Programming
• +۹ مورد دیگر

Mohammad Ali Raayatpanah is an Associate Professor in the Department of Mathematical and Computer Sciences at Kharazmi University, Iran. He served as a Visiting Scientist at the Montpellier Advanced Knowledge Institute on Transitions, hosted by the Laboratory of Computer Science, Robotics and Microelectronics of Montpellier (LIRMM) from September 2024 to July 2025. Education: B.Sc. in Applied Mathematics from Kashan University, Iran (2004) M.Sc. in Applied Mathematics from Tehran University, Iran (2006) Ph.D. in Applied Mathematics from Tehran University, Iran (2013) Research Focus: Dr. Raayatpanah specializes in operations research and distributed computing, with expertise spanning linear/integer programming, network flows theory, communication networks, and network coding. His work extends to sustainable food supply chains, integrating food safety, environmental concerns, and uncertainty analysis through mathematical programming. His current research project addresses 'Mathematical Programming and Robust Optimization Techniques for Resilient and Sustainable Green Food Supply Chains'. Publication Trends: Analysis of his 2018-2025 publications reveals consistent emphasis on robust optimization for network design, particularly in wireless networks (Wireless Body Area Networks, vehicular networks) and healthcare systems. His work systematically addresses energy efficiency, resilience under attacks/uncertainty, and mathematical programming applications across supply chains and telecommunications, demonstrating methodological rigor in handling parameter uncertainty. Research Environment: During his fellowship, he collaborated at LIRMM, leveraging their infrastructure for network optimization research. His work bridges theoretical operations research with practical applications in critical infrastructure and sustainability challenges.

• Network Security
• Internet Measurement
• Domain Name System (DNS)
• +۷ مورد دیگر

Mattijs Jonker serves as an Assistant Professor in the Design and Analysis of Communication Systems group within the Faculty of Electrical Engineering, Mathematics and Computer Science at the University of Twente. His research focuses on critical infrastructure aspects of the Internet, with particular emphasis on network security, DNS infrastructure, and Internet measurement methodologies. Dr. Jonker maintains an active research profile with numerous publications in top networking conferences and journals. Dr. Jonker's research interests center on network security with a special focus on DNS infrastructure vulnerabilities and defenses. His work explores DDoS attack mitigation strategies, DNS security extensions, IPv4 addressing economics, and network measurement techniques. He investigates how network operators can enhance digital sovereignty and strengthen network resilience, as evidenced by his longitudinal analysis during the Russia-Ukraine conflict. His research combines theoretical analysis with practical measurement campaigns to address real-world security challenges in Internet infrastructure. Analysis of Dr. Jonker's recent publications reveals a consistent focus on DNS security and network infrastructure measurement. His work spans DNSSEC deployments, anycast routing performance, IPv4 leasing market dynamics, and DDoS attack characterization. A notable trend is his emphasis on empirical measurement approaches to understand complex network phenomena, often developing novel measurement methodologies like response-aware scanning for DNS infrastructure analysis. His research bridges academic inquiry with practical security applications, as seen in studies on email authentication mechanisms and parental control systems. Best Paper Award -- Forward Pass: On the Security Implications of Email Forwarding Mechanism and Policy (2023) Best Paper Award on Characterization of Anycast Adoption in the DNS Authoritative Infrastructure (2021) Community Contribution Award -- The Wisdom of the Measurement Crowd: Building the Internet Yellow Pages a Knowledge Graph for the Internet (2024) Dr. Jonker actively collaborates with researchers across institutions, particularly with Sommese, van Rijswijk-Deij, and Sperotto, forming a productive research network focused on Internet measurement and security. His work has attracted attention from both academic and industry stakeholders, with media coverage of his research on DDoS attacks against Dutch media outlets like NRC.nl. He has contributed to practical security frameworks, including measurable best practices for DNS infrastructure resilience for the Dutch government. Dr. Jonker is affiliated with the Design and Analysis of Communication Systems (DACS) research group at the University of Twente, where he contributes to projects examining network infrastructure security and measurement. His research often involves large-scale Internet measurement campaigns, requiring coordination with multiple network operators and data collection points worldwide. He participates in community-building initiatives like the Internet Yellow Pages knowledge graph project, demonstrating commitment to open research infrastructure for the networking community.

Anna Sperottoمشاهده پروفایل

دانشیار

• Network Security
• Internet Security
• Network Monitoring
• +۶ مورد دیگر

Anna Sperotto is an Associate Professor of Proactive Network Security at the Design and Analysis of Communication Systems (DACS) group within the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at the University of Twente. She leads research in network security, particularly focusing on DNS infrastructure, DDoS attacks, and proactive threat detection methodologies. Her work bridges theoretical research with practical implementations in real-world network environments. Dr. Sperotto earned her PhD in Computer Science from the University of Twente in 2010 with her thesis 'Flow-based Intrusion Detection.' Prior to that, she completed her MSc (2006) and BSc (2004) in Computer Science at Ca' Foscari University in Venice, Italy. This strong academic foundation has supported her development as a leading researcher in network security. Her research interests center on network monitoring, intrusion detection, network security, and network management, with particular expertise in DNS security and DDoS attack mitigation. Dr. Sperotto's work often involves large-scale Internet measurements to understand security threats and develop innovative detection mechanisms. She has pioneered approaches for proactive threat detection using DNS measurements and has made significant contributions to understanding DNS infrastructure vulnerabilities. Dr. Sperotto has received multiple prestigious awards including a Best Paper Award at TMA'21 for her work on DNS Anycast adoption, an ACM IMC Community Contribution Award, and the IRTF Applied Networking Research Prize in 2015. Her publications consistently address critical challenges in network security with practical implications for Internet infrastructure resilience. As an academic leader, Dr. Sperotto supervises multiple PhD candidates and has successfully guided numerous doctoral students to completion. She has held significant service roles including General Co-Chair of ACM IMC 2019 and TPC Co-Chair of PAM 2020. She serves as Area Editor for ACM SIGCOMM Computer Communication Review and Associate Editor for multiple leading network management journals, demonstrating her significant influence in the networking research community. Her research is supported by multiple projects including MASCOT (MeAsuring Security in Cloud OuTsourcing), MADDVIPR (Mapping DNS DDoS Vulnerabilities to Improve Protection and Prevention), and TIDE (Threat Identification Using Active DNS Measurements), reflecting her focus on practical solutions to real-world security challenges.

• Management Information Systems
• Educational Technology
• Artificial Intelligence in Higher Education
• +۳ مورد دیگر

Rohini Balapumi is a Lecturer at the School of Management and Marketing, Faculty of Business and Law at Curtin University. She holds a PhD (Information Systems), MSc in Computer Science, and BSc (Computer Science with Honors), along with an Associate Fellowship from the Higher Education Academy (AFHEA). Her research focuses on educational technology, AI strategies in higher education, and self-regulated learning methodologies. She contributes to the Office of the Provost and teaches across multiple disciplines including Business, Law, and Science/Engineering. Her publications emphasize leveraging technology for business and education, including co-authoring Management Information Systems: Harnessing Technologies for Business & Society (2024). Research trends span AI-driven competitive advantage for universities, reflective learning practices, and ICT student learning behaviors. Recent work highlights post-COVID-19 strategies for HEIs and pedagogical innovations in assessment. Awards: Associate Fellow of the Higher Education Academy (AFHEA) Teaching spans diverse areas including the Centre for Aboriginal Studies, with active involvement in curriculum design and educational technology integration. Research collaborations include studies on self-regulation among ICT students and IPv6 network protocols.