جست‌وجوی استاد و پژوهشگر

Irene Liotouمشاهده پروفایل

استادیار

• Software-Defined Networking (SDN)
• Network Functions Virtualization (NFV)
• Quality of Experience (QoE)
• +۳ مورد دیگر

Irene Liotou is an Assistant Professor at the Department of Informatics and Telematics of Harokopio University of Athens. She holds a PhD from the National and Kapodistrian University of Athens (2017), with prior MSc degrees from Imperial College London (2012) and the National and Kapodistrian University of Athens (2011), and a Diploma in Electrical and Computer Engineering from the National Technical University of Athens (2006). Her research focuses on Software-Defined Networking (SDN), Network Functions Virtualization (NFV), Quality of Experience (QoE), and Cooperative, Connected and Automated Mobility (CCAM). She has extensive industry experience as a Senior Software Engineer at Siemens AG and Siemens Enterprise Communications (2007–2011), followed by postdoctoral research (2017–2021) and roles as Project Manager/Senior Researcher at RICCS (2021–2023), including Deputy EU Project Coordinator duties. Education: PhD: National and Kapodistrian University of Athens (2017) MSc: Imperial College London (Communications and Signal Processing, 2012) MSc: National and Kapodistrian University of Athens (Informatics and Telecommunications, 2011) Diploma: National Technical University of Athens (Electrical and Computer Engineering, 2006) Research interests span cutting-edge networking technologies with a focus on QoE, SDN/NFV implementations, and vehicular communications. Recent publications analyze cache-enabled video streaming, AI-native vehicular systems, and 5G edge-computing applications for automotive systems. She has participated in over 20 European/national projects and COST actions, demonstrating expertise in collaborative EU research coordination. Grants and Projects: Extensive involvement in EU-funded initiatives, including roles as Deputy Coordinator and Senior Researcher in multi-institutional collaborations. Specific projects include the 5G-IANA platform integrating ML and edge resources for automotive applications. Labs/Teams: Affiliated with Harokopio University's research groups focused on advanced networking technologies. Previously part of the Communication Networks Laboratory at NKUA and RICCS teams.

Abigail Koayمشاهده پروفایل

پژوهشگر ارشد

• Cyber Security
• Machine Learning
• Industrial Control System (ICS) Security
• +۳ مورد دیگر

Dr. Abigail Koay is an Honorary Research Fellow at the University of Queensland's School of Electrical Engineering and Computer Science. Her research focuses on cybersecurity, machine learning applications in industrial systems, and healthcare technology. She has contributed to projects such as real-time cyber-attack detection using weakly supervised learning, supported by UQ Cyber Seed Funding (2021–2022). Her work spans multiple disciplines including: Cybersecurity for Industrial Control Systems (ICS) IoT network anomaly detection using fog-assisted frameworks Machine learning for medical imaging (e.g., glaucoma detection) AI-driven cybersecurity strategies for smart grids Recent publications highlight advancements in: Irregular time series analysis using GNNs Positive-unlabeled learning with random forests Domain generalization in retinal image analysis Dr. Koay has authored/co-authored 15+ peer-reviewed articles across journals like Frontiers of Computer Science , IEEE Access , and conferences including NeurIPS and ISGT Asia. She collaborates with industry partners on projects like Plan2Defend for smart grid security and SDGen for synthetic cybersecurity dataset generation. Her research integrates theoretical machine learning with practical cybersecurity challenges, emphasizing real-world applicability in critical infrastructure and healthcare systems.

Roger Zimmermannمشاهده پروفایل

استاد

• Multimedia and Distributed Systems
• Multimedia and Mobile Networking
• Spatio-temporal Data Management
• +۸ مورد دیگر

Roger Zimmermann is a Full Professor at the School of Computing, National University of Singapore (NUS), where he is also a Co-PI at the Grab-NUS AI Lab and leads the Location AI project. He previously served as Deputy Director of the NUS Smart Systems Institute (SSI) and Co-Director of the Centre of Social Media Innovations for Communities (COSMIC), both funded by Singapore’s National Research Foundation (NRF). Before joining NUS, he was a Research Area Director and Research Assistant Professor at the University of Southern California (USC). Ph.D. in Computer Science, University of Southern California (1998) M.S. in Computer Science, University of Southern California (1994) His research focuses on multimedia systems , spatio-temporal data management , streaming media architectures (especially DASH), machine learning applications , AR/VR , and location-based services . He leads the Media Management Research Lab (MMRL) at NUS, which conducts cutting-edge work in distributed multimedia and intelligent systems. His work combines theoretical depth with real-world applications in urban computing, smart mobility, and immersive media. The recent publications reflect a strong trend toward multimodal learning , spatio-temporal AI , adaptive streaming , and urban intelligence . His team explores zero-shot learning, 3D scene understanding, traffic forecasting, and open-vocabulary audio-visual segmentation, often leveraging foundational models and deep neural architectures. There is a clear emphasis on real-time, scalable systems for smart cities and immersive experiences. Dr. Zimmermann has received numerous accolades, including: DASH-IF Excellence in DASH Award (multiple years) Best Paper Awards at ACM SIGSPATIAL, IEEE ICME, and ACM MMSys Silver Award at ACM MMSys 2020 Grand Challenge IEEE Communications Society Best Editor Award (2017) ACM Distinguished Member (2017) Top 1% Publons Reviewer in Computer Science (2018) He has advised numerous students and led major research initiatives funded by MOE, NRF, A*STAR, NSF, and industry partners like Seagate, Intel, and HP. He has served as General Chair for IEEE MIPR 2023, ACM Multimedia 2020, and IEEE ISM 2015, and as TPC Co-Chair for several top-tier conferences. His editorial roles include Associate Editor for IEEE Transactions on Multimedia (TMM), ACM TOMM, and IEEE OJ-COMS. He leads the Media Management Research Lab (MMRL) , which focuses on intelligent multimedia systems, spatiotemporal data mining, and immersive media technologies. The lab develops scalable solutions for real-world challenges in urban computing, smart transportation, and interactive media.

Erol Gelenbeمشاهده پروفایل

استاد

• Computer Networks
• Network Security
• Energy Efficiency
• +۴ مورد دیگر

Erol Gelenbe is a Professor at the Department of Electrical and Electronic Engineering at Imperial College London. He is a Fellow of IEEE, ACM, and IET(UK), and holds honorary doctorates from Universities of Liège, Roma-Tor Vergata, and Bogaziçi. His research focuses on energy efficiency in ICT systems, network security, and bioinformatics modeling. He pioneered the Random Neural Network (G-Networks) and developed the FLEXSIM simulation framework for manufacturing systems. His work integrates theoretical models with practical applications in software-defined networks (CPN), energy packet networks, and cyber-physical systems. Awards & Recognition: Recipient of the In Memoriam Dennis Gabor Award (2013), IET Oliver Lodge Medal (2010), and France’s Officer of the Order of Merit. Elected to the French National Academy of Engineering, Science Academies of Hungary and Poland, and the Science Academy of Turkey. Research Contributions: Current projects include EU-funded NEMESYS (Mobile Network Security), ECROPS (Energy Harvesting in ICT), and PANACEA (Self-Organizing Clouds). His recent work addresses energy-QoS trade-offs in data centers, dynamic energy allocation, and bio-inspired network models for gene regulation and neuronal systems. Professional Activities: IEEE Distinguished Lecturer, conference organizer (General Chair IEEE NCCA 2012, Co-Chair IEEE HPCC 2013), and editor for journals including IEEE Transactions on Cloud Computing and Performance Evaluation. Supervised over 60 PhD students.

Pu Wangمشاهده پروفایل

دانشیار

• Computer Networking
• Cyber-Physical Systems
• Internet of Things
• +۴ مورد دیگر

Pu Wang is an Associate Professor in the Department of Computer Science at the University of North Carolina at Charlotte (UNC Charlotte), part of the College of Computing and Informatics (CCI). His research focuses on networked systems, generative AI, computer vision, and computational biomechanics. He holds a Ph.D. from Georgia Institute of Technology (2013) and previously served as an Assistant Professor at Wichita State University (2013–2016). Education: B.E. in Electrical Engineering, Beijing Institute of Technology, 2003 M.E. in Electrical and Computer Engineering, Memorial University of Newfoundland, 2008 Ph.D. in Electrical and Computer Engineering, Georgia Tech, 2013 Research interests include modeling of networked systems (e.g., Software Defined Networking, IoT), AI-driven human mesh recovery, and biomechanically accurate 3D pose estimation. His work is supported by NSF grants and has led to advancements in federated learning, motion synthesis, and underwater communication systems. Awards and Honors: John A. See Innovation Award (Wichita State, 2016) BWN Lab Researcher of the Year (Georgia Tech, 2012) Best Student Paper Runner-Up (IEEE SCC 2016) Fellow of Memorial University’s School of Graduate Studies (2008) Key publications span top venues like ICCV, CVPR, AAAI, and IEEE journals, addressing topics such as masked motion control, vision-language models, and federated learning optimization. He actively mentors graduate students in AI/ML, computer vision, and network systems.

• Internet of Things (IoT)
• Software-Defined Networking (SDN)
• Fog Computing
• +۵ مورد دیگر

Jaime Galán-Jiménez is a Researcher focusing on Internet of Things (IoT) , Software-Defined Networking (SDN) , Fog Computing , and UAV Networks . His work addresses energy efficiency , latency optimization , and network reliability in rural and remote environments , leveraging microservices , machine learning , and hybrid network architectures . Research Interests: Optimizing SDN/Fog/Edge Computing for IoT applications. Deploying UAV swarms to enhance connectivity in rural areas. Reducing energy consumption and latency through algorithmic innovations. Using machine learning and heuristic methods for network configuration. Recent Article Trends: His 2025–2024 work emphasizes microservice placement in fog environments, TCP optimization via transport assistants, and carbon-aware routing in wired networks. Key subfields include UAV communication , network reliability , and hybrid IP/SDN architectures . Collaborations: He frequently partners with Juan Luis Herrera , Javier Berrocal , Jose Gómez-delaHiz , and Santiago García-Gil , contributing to journals like Computing , IEEE Internet Things Journal , and conferences such as NOMS , ISCC , and GLOBECOM .

• Wireless Networks
• Vehicular Communications
• Network Coding
• +۷ مورد دیگر

Qingyang Song is a professor in the field of Computer Science and Engineering, focusing on wireless networks and vehicular communications. His research spans topics such as network selection, resource allocation, and fault-tolerant routing mechanisms across heterogeneous systems, including UMTS, wireless LAN, and vehicular networks. While his institutional affiliations are not explicitly stated in the provided text, his collaborative work with researchers like A. Jamalipour and Lei Guo highlights his contributions to next-generation network optimization. His research interests include Network Coding , Software Defined Networking (SDN) , 5G Systems , and Energy Efficiency . He has pioneered techniques to balance user preferences with network conditions, reducing handoffs and improving connectivity. Recent work explores UAV-assisted networks, quantum-inspired reinforcement learning for wireless VR, and secrecy rate optimization in IRS-aided SWIPT systems. Qingyang Song's publications reflect a strong emphasis on Engineering and Computer Science disciplines, particularly in vehicular communications, spectrum sharing, and hybrid routing frameworks. His work has been featured in IEEE journals and conferences, including IEEE Transactions on Vehicular Technology and IEEE Wireless Communications .

César Sánchezمشاهده پروفایل

استاد

• Formal Methods
• Computer Science
• Logic
• +۶ مورد دیگر

César Sánchez is a Full Professor at the IMDEA Software Institute , where he has been since 2007. He earned his Ph.D. in Computer Science (2007) and M.S. in Computer Science (2001) from Stanford University , and a M.Eng in Telecommunication Engineering from Universidad Politécnica de Madrid (1998). His academic career includes promotions to Associate Professor in 2012 and Full Professor in 2023. Research Interests Formal Methods Temporal Logics for Hyperproperties Reactive Synthesis Modulo Theories Blockchain and Smart Contract Reasoning Runtime Verification of Real-Time Systems Neurosymbolic Formal Methods His publications span 15 recent works (2023-2025) focusing on formal verification of systems using temporal logics , reactive synthesis , and blockchain applications . Key trends include asynchronous hyperproperty analysis , anticipatory monitoring , and shield synthesis for DRL and blockchain systems. Service & Collaboration Program Committee Member: CAV'25, ATVA'24, TACAS'24, DAPPS'23 Collaborations with institutions like Stanford, IMDEA, and Nature César actively recruits researchers (interns, PhD students, postdocs) for his group at IMDEA, focusing on hyperproperties, reactive synthesis, and blockchain verification.

• Computer Science
• Intelligent Transportation Systems
• Cloud Computing
• +۳ مورد دیگر

Fatemeh Banaie Heravan is a Research Fellow in the Department of Computer Science at the University of Huddersfield's School of Computing and Engineering. She is also a member of the Centre for Autonomous and Intelligent Systems, contributing to interdisciplinary research in computational methodologies and decision-making systems. University: University of Huddersfield School: School of Computing and Engineering Department: Department of Computer Science Rank: Research Fellow Email: F.Banaieheravan@hud.ac.uk Her research intersects with UN Sustainable Development Goals , focusing on technological solutions for global challenges. Key areas include: Serverless computing and energy-efficient cloud architectures Intelligent transportation systems and game theory for autonomous decision-making Participatory budgeting interfaces and collective decision-making platforms Recent publications highlight trends in cloud computing (2023-2024), deception modeling in transportation (2025), and democratic decision-making technologies (2024). Labs & Collaborations: Active in the Centre for Autonomous and Intelligent Systems, collaborating with experts like Dr. Parkinson and Prof. Pournaras on modular experimentation platforms.

Jordi Domingo-Pascualمشاهده پروفایل

استاد

• 5G Network Architecture
• Software-Defined Networking (SDN)
• Locator/Identifier Separation Protocol (LISP)
• +۱۰ مورد دیگر

Jordi Domingo-Pascual is a Full Professor at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC), affiliated with the Department of Computer Architecture within the Faculty of Informatics of Barcelona (FIB). He is a member of the UPC CBA - Broadband Communications Systems and the IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Group. His research spans networking, telecommunications, and ethical aspects of technology design. Research Interests: His primary areas of expertise include 5G network architectures, software-defined networking (SDN), Locator/Identifier Separation Protocol (LISP), traffic engineering, quality of service (QoS), network monitoring, and ethics in engineering education. He investigates both technical and societal dimensions of emerging network technologies. Publication Trends: His recent scholarly output (2020–2022) emphasizes SDN controller placement optimization, open-source traffic engineering tools, and the integration of ethical considerations in engineering curricula—particularly in the context of AI and pandemic-era digital tracing applications. Earlier works focus on ATM multicasting, QoS, and broadband network characterization. Scientific Awards: Premi o reconeixement Advising and Grants: While specific advisees are not listed, his extensive research activity—including participation in European projects—suggests involvement in supervising students and securing competitive R&D funding. His work on traffic engineering, SDN, and LISP indicates leadership in national and international collaborative grants. Labs and Research Groups: He is actively involved in the UPC CBA research group focused on broadband and communication systems and the IDEAI-UPC group advancing data science and AI. These affiliations reflect a strong interdisciplinary research profile bridging networking and intelligent systems.

• Broadband Telecommunications
• Optical Packet-Switched Networks
• Software-Defined Networking (SDN)
• +۴ مورد دیگر

Franco Callegati is a Full Professor in Computer Science at the Department of Computer Science and Engineering (DISI), University of Bologna. He coordinates the Degree Course in Computer Science and Engineering and serves as Delegate for the Imola office. His roles include President of CesenaLab, an innovation incubator, and Rector's delegate for Imola campus relations. He has held tenured positions since 1995, progressing from Researcher (1995–2001) to Associate Professor (2001–2023) before achieving Full Professor status. Education: PhD in Electronic and Computer Engineering (1993), University of Bologna Laurea in Electronic Engineering (1989), University of Bologna (cum laude) Scientific High School Diploma (1983), Luigi Valeriani School, Imola Research: Focuses on telecommunications network architectures, SDN/NFV, cybersecurity in Industry 4.0, and Smart City applications. He led European projects (e.g., EuroCPS) and coordinated international teams (e.g., e-Photon/ONe+ project with 17 institutions). His work includes optical networks, 5G slicing, and smart mobility collaborations with Emilia-Romagna Region. Teaching: Teaches telecommunications networks at undergraduate and graduate levels. Invited lecturer at institutions like University of Campinas (Brazil), University of Essex (UK), and IEEE conferences. Served as international reviewer for PhD committees in Denmark, Spain, and Belgium. Industrial Collaboration: Directed the Interdepartmental Center for Industrial Research on ICT (CIRI-ICT, 2013–2020) and led T3Lab Consortium (2016–2020). Coordinates innovation projects with SMEs using cyber-physical systems. Labs & Roles: President of CesenaLab (since 2022), member of editorial boards (Journal on Optical Switching and Networking), and technical committees (IEEE Globecom, IEEE ICC).

Erik Elmrothمشاهده پروفایل

استاد

• Distributed Systems
• Cloud Computing
• Edge Computing
• +۳ مورد دیگر

Erik Elmroth is a Professor at the Department of Computing Science, Umeå University. He leads research in distributed systems, cloud/edge computing, and autonomous resource management, directing a 30+ member research group. His leadership includes transformative roles as department head (2009-2021) and Deputy Director at High Performance Computing Center North (HPC2N). Elmroth serves on executive committees for the SEK 6.2B Wallenberg AI program (WASP) and SEK 390M eSSENCE initiative, and leads multiple Kempe Foundation projects. Research interests center on: Autonomous control of cloud/edge infrastructures Software-defined systems and federated clouds AI-driven resource optimization High-performance computing architectures Robust machine learning for distributed environments His publications emphasize adaptive cloud systems, anomaly detection, and federated learning, with consistent focus on scalability and resilience in edge/cloud deployments. Awards and honors: Member of Royal Swedish Academy of Engineering Sciences (IVA) Nordea Scientific Prize (2011) SIAM Linear Algebra Prize (2000) National HPC Lecturer appointment He has supervised 40+ PhD students and secured major grants including the Swedish Research Council's second-largest award for the Cloud Control project. Elmroth founded the Control Workshops series and co-founded Elastisys AB, a cloud security firm with 50+ employees recognized as Umeå's Spin-off Company of the Year.

Kaikai Liuمشاهده پروفایل

دانشیار

• Intelligent and Autonomous Systems
• Mobile and Cyber-Physical Systems (CPS)
• Artificial Intelligence of Things (AIoT)
• +۱۲ مورد دیگر

Kaikai Liu is an Associate Professor and Cisco Corporate Chair Professor in the Department of Computer Engineering at San José State University, Charles W. Davidson College of Engineering. He is actively engaged in research, teaching, and leadership in intelligent and autonomous systems, cyber-physical systems, and AIoT. His work bridges academia and industry, with collaborations involving NSF, Intel, Cisco, Arista, and the Department of Health of Hawaii. Research Interests: Intelligent and Autonomous Systems Mobile and Cyber-Physical Systems (CPS) Artificial Intelligence of Things (AIoT) Smart Sensing and Data Mining Edge Computing and Next-Generation Communication Systems His research spans both theoretical and applied domains, focusing on real-world deployments in smart cities, emergency response, behavioral health, and assistive technologies. He emphasizes system prototyping, data-driven analytics, and human-centered design. Recent Research Trends: His recent publications and projects show a strong focus on integrating AI with edge computing and sensing, particularly in cooperative perception (RINGS), mental health (OHANA), disaster communication, and intelligent urban infrastructure. There is a clear trajectory toward multi-modal, data-intensive systems that operate in real-time and support societal resilience. Scientific Awards: IEEE SWC 2017 Best Paper Award IEEE SECON 2016 Best Paper Award ACM SenSys 2016 Best Demo - Runner-up 2020 College of Engineering Award for Excellence in Scholarship Faculty Mentoring Award for CSU Student Competition 2018 Apple WWDC Scholarship (2013, 2014) National Scholarship of China Multiple University of Florida and SJSU Research Professor Awards Advising and Grants: Dr. Liu has mentored student teams to national recognition, including a first prize in the 2017 Juniper SDN Throwdown. He has secured significant research funding as Principal Investigator from the National Science Foundation (NSF), Knight Foundation, Intel, Cisco, Arista, and the U.S. Department of Health. Notable grants include the five-year OHANA Center (SAMHSA), RINGS (NSF), and multiple industry-funded projects on edge AI and smart infrastructure. Labs and Teams: He leads a research group focused on intelligent systems and edge computing, with a history of developing full-stack prototype systems like the SJGateway. He has led teams in the NSF Big Learning Center and the OHANA Center of Excellence, fostering interdisciplinary collaboration across engineering, public health, and social sciences.

• Network Engineering
• Quality of Service (QoS) Control
• Software-Defined Networking (SDN)
• +۳ مورد دیگر

ITO Yoshihiro is a Professor at the Nagoya Institute of Technology , affiliated with the Faculty of Engineering and the Department of Information Engineering, Network Field . He holds a Doctor and Master in Engineering from Nagoya Institute of Technology, completed in 1993 and 1991 respectively. His research focuses on Quality of Service (QoS) control , Software-Defined Networking (SDN) , and Time-Sensitive Networking (TSN) for automotive and industrial Ethernet applications. Doctor (Engineering), Nagoya Institute of Technology Master (Engineering), Nagoya Institute of Technology Bachelor (Engineering), Nagoya Institute of Technology His work evaluates QoS mechanisms like IEEE 802.1TSN , IEEE 802.1AS time synchronization , and SDN-based multi-path TCP optimization . He investigates configurations for gate control lists (GCL) in time-aware shapers and frame preemption (FP) efficiency in automotive networks. Recent studies focus on quantifying congestion-induced synchronization errors and their impact on network reliability. Articles from 2024–2023 highlight trends in automotive Ethernet protocols , TSN standardization , and SDN/P4 integration for dynamic network control. Topics span time synchronization accuracy, traffic shaping techniques, and congestion mitigation strategies across in-vehicle and industrial environments. Best TPC Award (2023) IEICE Communication Society Contribution Award (2019, 2006) IEEE GCCE 2015 Outstanding Paper Award IEICE Young Engineer Award (1999) He has advised students on TSN and SDN research and secured collaborative grants with industry partners like Toyota Central R&D and Panasonic. His committee roles include editorships and leadership positions in IEICE and IPSJ .

Manuel Gil Pérezمشاهده پروفایل

دانشیار

• Cybersecurity
• Intrusion Detection Systems
• Trust Management
• +۷ مورد دیگر

Manuel Gil Pérez is an Associate Professor in the Department of Information and Communication Engineering at the University of Murcia, Spain. His research focuses on cybersecurity, intrusion detection systems, trust management, and privacy-preserving data sharing in dynamic scenarios. University of Murcia (Faculty of Computer Science) Researcher in EU H2020/FP7 projects Key research areas include: Cyber deception frameworks for threat actor profiling Trust management in 5G/6G networks Decentralized federated learning security Privacy-preserving healthcare data systems Context-aware security mechanisms Recent publication trends highlight: Integration of knowledge graphs for threat analysis Moving target defense in distributed systems Standardization of trust frameworks for next-gen networks Adaptive risk assessment models Scientific contributions include: Design of antifragile deception systems Development of Fedstellar DFL platform Pre-standardization of reputation-based trust models Hardware fingerprinting for IoT security