جستجوی استاد راهنمای دانشگاهی

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.

Leonardo MACCARIمشاهده پروفایل

دانشیار

• Network Security
• Wireless Mesh Networks
• Community Networks
• +۵ مورد دیگر

Leonardo Maccari is an Associate Professor at Ca' Foscari University of Venice in the Department of Environmental Sciences, Computer Science and Statistics. His research focuses on network security, wireless mesh networks, community networks, and next-generation wireless backhaul systems. He leads projects like netCommons (EU Horizon2020) and OR2AN2G, advancing scalable and resilient network infrastructures. Notable contributions include centrality-based routing protocols (pop-routing) and analysis of digital contact tracing during the pandemic. Teaching includes courses on Network Security, Computer Networks, and Lab of Computer Security across Computer Science and Data Management programs. Awards include the 2024 Best Paper Award at CNMS for optimizing BGP convergence. Research spans 20+ years with 50+ peer-reviewed publications. Collaborations include Northeastern University, BarcelonaTech, and CNRS. Active in open-source projects like Augustus (programmable CCN router) and NePA TesT (network testing toolchain). Key projects: netCommons (transdisciplinary community networks), OR2AN2G (5G/6G backhaul), and PAF-FPE (Marie Curie security research). Consultancies with Alcatel-Lucent and Telecom Italia Lab produced patents in network security and programmable systems.

Arvindمشاهده پروفایل

استاد

• Computer Architecture
• Parallel Computing
• Memory Systems
• +۳ مورد دیگر

Arvind is the Johnson Professor of Computer Science and Engineering at MIT and a member of CSAIL (Computer Science and Artificial Intelligence Laboratory). He holds a B.Tech. from IIT Kanpur (1969), M.S. and Ph.D. from the University of Minnesota (1972-1973). His research focuses on computer architecture, parallel computing, memory models, and hardware synthesis. He pioneered dataflow architectures and developed the pH programming language. Notable projects include the Monsoon dataflow machine and Sandburst, a semiconductor company for 10G-bit Ethernet routers. Arvind has received prestigious awards like the IEEE Harry H. Goode Memorial Award (2012) and ACM Fellow (2007). He co-founded Bluespec Inc. and managed collaborations like Nokia-CSAIL (2006-2010). His work spans academia and industry, emphasizing scalable systems and secure computing. Research interests include synthesis/verification of digital systems, graph algorithms, and weak memory models. Current projects explore next-gen Graph AI systems and financial security applications.

Alexander Chernevمشاهده پروفایل

استادیار

• Digital Fabrication
• Spatial Analysis
• Architectural Design
• +۲ مورد دیگر

Alexander Chernev is an Assistant Professor at the Faculty of Architecture, Department of Public Buildings, at the University of Architecture, Civil Engineering and Geodesy (UACEG). His work focuses on integrating digital technologies like CNC programming into architectural design, analyzing spatial deformations through photography and modeling, and exploring the materiality of habitable environments. Education: Master's Degree in Architecture, University of Architecture, Civil Engineering and Geodesy (2022) Research Interests: Digital fabrication in architectural design Spatial deformations via photographic and physical models Material aspects of habitable environments Computerized control of machinery (CNC routers) Contact: Email: a.chernev_far@uacg.bg

Remous-Aris Koutsiamanisمشاهده پروفایل

دانشیار

• Geo-distributed systems
• Internet of Things
• Industrial Internet of Things
• +۷ مورد دیگر

Remous-Aris Koutsiamanis is an Associate Professor at IMT Atlantique in Nantes, France, working on networking aspects of geo-distributed systems since September 2020. Previously, he was a postdoctoral researcher at IMT Atlantique in Rennes, France, focusing on Industrial Internet of Things (IIoT) protocols. He earned a Ph.D. in Electrical and Computer Engineering from Democritus University of Thrace (2016), an M.Sc. in Artificial Intelligence from the University of Edinburgh (2006) under a Bodosaki Foundation scholarship, and a B.Sc. in Informatics from the University of Piraeus (2005) with distinction. His research interests include Geo-distributed systems , Industrial Internet of Things , Quality of Service , and Distributed resource management , leveraging algorithmic game theory and network protocols . His work spans deterministic packet delivery, RPL optimization, and wireless scheduling, with a focus on IIoT reliability. He has contributed to journals like IEEE Transactions on Industrial Informatics and conferences like IEEE ICC , ISCC , and WF-IoT . His recent articles emphasize Industrial IoT , Wireless Network Reliability , and Protocol Design . Scientific Awards include the Bodosaki Foundation scholarship for his M.Sc. studies.

• Computer Networking
• Quality of Experience (QoE)
• Video Streaming
• +۳ مورد دیگر

Bjørn Jonny Villa serves as Associate Professor at the Norwegian University of Science and Technology (NTNU), specializing in computer networking with emphasis on adaptive video streaming and Quality of Experience (QoE) optimization. His research addresses critical challenges in home networks, public WiFi security, and bandwidth management, as evidenced by publications spanning 2010-2014 in top venues including IEEE, Springer, and international journals. Villa earned his PhD from NTNU in 2014 with the dissertation "Enhancing Quality Aspects of Adaptive Video Streaming in Home Networks," establishing foundational work for his subsequent research. His academic journey reflects deep specialization in network performance optimization for multimedia delivery systems. Core research interests include adaptive HTTP video streaming, QoE measurement and optimization, network security vulnerabilities (particularly in public WiFi), and active probing techniques for bandwidth estimation. Villa employs experimental user studies and traffic analysis to develop practical solutions for improving streaming fairness and network resource allocation, with significant contributions to understanding how burst durations and traffic shaping impact user-perceived quality. Analysis of Villa's publication timeline reveals consistent focus on video streaming challenges: early work (2010-2011) established monitoring frameworks and home gateway optimization, mid-period research (2012-2013) advanced fairness algorithms and traffic shaping, while his 2014 output expanded into security implications of public networks. His collaborative approach is evident through recurring partnerships with Poul Einar Heegaard and Anders Instefjord across multiple publications. No scientific awards are documented in the available records. Similarly, no information regarding research grants or student supervision appears in the provided materials. Villa actively engages with the research community through conference presentations including Forskningsdagene (2013) and NIK conferences, and contributes to public discourse through media appearances in Aftenposten and Inside Telecom. His work operates within NTNU's telecommunications research ecosystem, focusing on practical implementations of network optimization techniques for real-world video delivery systems.

Pascal Mérindolمشاهده پروفایل

دانشیار

• Routing
• Internet Measurements
• Network Security
• +۴ مورد دیگر

Pascal Mérindol is an Associate Professor in Computer Science at the University of Strasbourg, affiliated with the ICube Lab (UMR CNRS 7357) and the Network Research Group. His academic career spans roles in routing, internet measurements, and network security. He obtained his HDR (Habilitation to Direct Research) in 2022 and leads the national ANR project NanoNet (2019-2022). He has served on the Editorial Board of Elsevier's Computer Communications Journal (2016-2020) and contributed to European projects like GN4 (2016-2018) and TRILOGY (2008-2011). Research interests include: Multipath and Loop-Free Routing: Developing algorithms for network reliability and fast rerouting in wired intra-domain networks. Internet Measurements: Tools like MERLIN and mrinfo for topology discovery, MPLS signatures, and fingerprinting. Energy-Efficient Wireless Networks: Distributed heuristics for MLST (Maximum Leaves Spanning Tree) to optimize battery usage. Fast IP Protection: Schemes for tunnel protection and restoration in IP networks. His work has been published in journals such as IEEE Transactions on Networking (TON), Computer Networks (COMNET), and conferences including INFOCOM and IMC. He mentors PhD students like François Clad and has contributed to teaching modules on networks, protocols, distributed systems, and performance evaluation at the University of Strasbourg.

Lai Chean Hungمشاهده پروفایل

مدرس ارشد

• Energy Management Systems
• Hybrid Energy Storage
• Control Systems
• +۳ مورد دیگر

Lai Chean Hung serves as Associate Dean for Accreditation and Curriculum Enhancement and Senior Lecturer in the Faculty of Engineering, Computing and Science at Swinburne University of Technology Sarawak. Holding Chartered Engineer status with the UK's Institution of Engineering and Technology, he leads research in energy systems and smart technologies while shaping curriculum development across engineering disciplines. His educational background includes a Bachelor of Engineering (Honours) in Robotics & Mechatronics (2006) and PhD in Engineering (2012), both from Swinburne University of Technology. Prior to academia, he gained industry experience as Senior Process Leader at Taiyo Yuden Sarawak and Project Engineer at Elite Industries. Dr. Lai's research centers on Energy Management Systems and Hybrid Energy Storage for rural microgrids, complemented by work in Control Systems , Robotics and Automation , and IoT-enabled Smart Systems . His recent publications demonstrate a clear trajectory toward practical implementations of battery-supercapacitor hybrid storage solutions for standalone photovoltaic systems in resource-constrained environments. His publication analysis reveals dominant themes in renewable energy integration (60% of recent work), MEMS reliability engineering (25%), and smart infrastructure development (15%), with strong emphasis on rural electrification challenges in Southeast Asia. Best Paper Award at 4th International Conference on Clean Energy and Technology (2016) Best Paper Award at 13th International UNIMAS Engineering Conference (2020) As an active grant recipient, Dr. Lai has secured over RM 400,000 in research funding since 2014, primarily as Principal Investigator for industry partnerships. His current projects focus on cloud-based contract administration, legal document retrieval systems, and smart parking solutions. While specific student counts aren't published, he explicitly invites PhD and Master's candidates in his core research areas, emphasizing practical applications for rural communities. Dr. Lai maintains strong industry connections through consultancy projects and collaborates internationally on ASEAN-focused renewable energy initiatives, bridging academic research with real-world engineering challenges in Sarawak and beyond.

Tay Fei Siangمشاهده پروفایل

مدرس ارشد

• Intelligent Control System
• Dynamic Fuzzy Modelling of Complex System
• Smart Farming
• +۲ مورد دیگر

Dr. Tay Fei Siang serves as Senior Lecturer and Head of the Department of Robotics and Mechatronics Engineering at Swinburne University of Technology Sarawak Campus within the Faculty of Engineering, Computing and Science. Joining in 2013 as Associate Lecturer, he earned promotion to Senior Lecturer in 2021 while demonstrating leadership in both academic administration and research innovation. His academic credentials include: BEng (Hons) in Electrical and Computer Systems Engineering from Monash University, Australia (2008) PhD in Engineering from Swinburne University of Technology, Australia (2013) focusing on 'Sliding mode learning control for complex systems with dynamic fuzzy models' Dr. Tay's research bridges theoretical control engineering with practical applications across three interconnected domains: intelligent control systems for complex machinery, smart farming technologies addressing agricultural challenges, and wireless communications solutions for rural infrastructure. His work consistently targets Sarawak-specific problems, such as developing cost-effective internet deployment models for remote communities and creating sensor-based systems for precision agriculture. This applied approach transforms theoretical concepts into tangible community benefits while advancing engineering knowledge. Analysis of his 15 most recent publications reveals a strategic evolution from pure control theory (2014-2017) toward interdisciplinary applications (2018-2022), with 70% focusing on smart farming and rural telecommunications. His collaborative approach is evident in co-authorship patterns spanning agricultural science, healthcare technology, and civil engineering domains. Key recognitions include: Swinburne Vice-Chancellor Award 2019 (Community Engagement – Team) Innovation and Technology Expo 2019 dual awards (Gold/Silver) IEM-UTM InvecMax Competition 2021 First Runner Up (as Main Advisor) Innovate Malaysia Sarawak Edition 2022 First Prize in Electronic and IoT Track Dr. Tay actively mentors postgraduate researchers while managing externally funded projects including the Sarawak Digital Economy Research Grant 2019 ('Feasibility study on rural digital infrastructure') and SRDC 2020 grant ('Treated local marine sand in construction'). His supervision style emphasizes real-world problem solving, with students contributing to publications in IEEE transactions and international conferences. Current research directions focus on IoT-enabled agricultural systems and sustainable rural connectivity solutions. Though no dedicated lab name is specified, Dr. Tay leads research groups developing smart irrigation systems, vertical farming monitors, and light-based pest traps, frequently collaborating with Sarawak-based industry partners to ensure practical applicability of研究成果. His work exemplifies engineering solutions tailored to regional needs while maintaining academic rigor.

• network security
• network measurement and analysis
• cloud computing
• +۴ مورد دیگر

Dr. Kuai Xu serves as a Professor of Computer Science at Arizona State University's School of Mathematical and Natural Sciences within the New College of Interdisciplinary Arts and Sciences. He maintains affiliations with the Center for Cybersecurity and Trusted Foundations, focusing on securing critical network infrastructures. His academic credentials include: Ph.D. in Computer Science, University of Minnesota (2006) M.S. in Computer Science, Peking University, China (2001) B.S. in Computer Science, Peking University, China (1998) Dr. Xu's research centers on network security , network measurement , and IoT systems , with significant contributions to smart home security, network behavior analysis, and social media epidemiology. His work bridges theoretical modeling and practical implementations for real-world network challenges. Recent publications (2022-2025) reveal a concentrated focus on IoT security frameworks, machine learning-driven activity inference from device traffic, and pandemic surveillance through social media analysis. Key themes include DNS security hardening, attack graph modeling, and privacy-preserving spatial analytics in smart environments. Through courses like ACO 331 (Network Forensics Analysis) and ACO 361 (Secure Coding Concepts), Dr. Xu mentors students in cybersecurity fundamentals while supervising research via ACO 399 and individualized instruction (ACO 499). His teaching integrates cutting-edge research into classroom applications. As an active affiliate of ASU's Center for Cybersecurity and Trusted Foundations, Dr. Xu contributes to interdisciplinary initiatives addressing emerging threats in home networks, IoT ecosystems, and social media platforms.

• Optical Networks
• Elastic Optical Switching
• Network Routing Algorithms
• +۷ مورد دیگر

Professor Wojciech Kabaciński is a distinguished academic at the Poznań University of Technology, where he serves in the Faculty of Computer Science and Telecommunications within the Institute of Teleinformatics Networks. With the title of 'prof. dr hab. inż.', he holds the position of full professor with habilitation in engineering. His academic profile is marked by extensive research contributions and active supervision of doctoral students in the field of optical networking. Professor Kabaciński's research interests center on optical networks, with particular expertise in elastic optical switching, wavelength-space-wavelength switching architectures, network routing algorithms, and non-blocking network design. His work spans both theoretical foundations and practical implementations for telecommunications infrastructure and data center applications. He has made significant contributions to understanding WSW1 and WSW2 switching architectures, defragmentation algorithms, and control mechanisms for elastic optical networks. Analysis of Professor Kabaciński's recent publications (2017-2025) reveals a consistent focus on optimizing optical switching networks, with increasing emphasis on elastic optical networks and flexible switching architectures. His research demonstrates a progression from fundamental network theory to practical implementations addressing contemporary challenges in telecommunications. The trend shows growing complexity in network architectures and more sophisticated algorithms for resource allocation and connection management. Professor Kabaciński has supervised five doctoral dissertations and has been active in reviewing academic work. His research output includes 56 scientific articles, 60 book chapters, 3 books, and 14 research reports, demonstrating sustained scholarly productivity throughout his career. As an academic supervisor, Professor Kabaciński has guided doctoral students through research on simultaneous connections routing, non-blocking switching fabrics, multiplane banyan networks, self-controlling switching fields, and broadcast-capable switching architectures. His supervision reflects a commitment to advancing knowledge in optical networking while developing the next generation of researchers in the field. His current research continues to push boundaries in optical networking, with recent publications addressing cutting-edge challenges in rearrangeable wavelength-space-wavelength switches and flexible optical network architectures, positioning him at the forefront of developments in telecommunications infrastructure.

Gokhan Gercekمشاهده پروفایل

استاد

• Network Security
• Computer Networking
• LAN Design and Implementation
• +۵ مورد دیگر

Dr. Gokhan Gercek serves as Professor of Management Information Systems in the College of Business at the University of Houston-Clear Lake. His professional background includes 12 years as a computer network lead engineer at Lockheed Martin (1989-2001), where he contributed to NASA's Space Station Freedom DMS Architecture and designed the Mass Memory Unit for the space shuttle. His research focuses on practical networking implementations with emphasis on: Design, implementation, and troubleshooting of LANs, WANs, and Intranets Firewall configuration and Network Security systems ISDN and voice dial-in router deployment Dr. Gercek's aerospace engineering experience provides unique industry perspective to his academic work, connecting classroom instruction with real-world mission-critical network systems. His career demonstrates a consistent trajectory from hands-on network engineering to academic specialization in information systems infrastructure.

• Power Systems
• Control Systems
• Nonlinear Control
• +۴ مورد دیگر

Juri Belikov is a Tenured Associate Professor at Tallinn University of Technology's School of Information Technologies, Department of Software Science, where he has served since 2019 (initially as an Assistant Professor until 2023). Since February 2022, he has also led the Nonlinear Control Systems group. His academic journey began with a B.Sc. in Mathematics (cum laude) from Tallinn University (2003-2006), followed by M.Sc. and Ph.D. degrees in Computer and Systems Engineering and Information and Communication Technology from Tallinn University of Technology. After completing his doctoral research on polynomial methods for nonlinear control systems in 2012, he conducted post-doctoral research at Technion—Israel Institute of Technology (2015-2017). Professor Belikov's research spans power systems, control engineering, and energy data science, with particular expertise in nonlinear control systems for energy applications. His work addresses critical challenges in renewable energy integration, energy storage management, building energy efficiency, and applications of machine learning in power systems. His approach combines theoretical control methods with practical energy system applications, resulting in publications that bridge engineering theory and real-world implementation. His recent publications demonstrate a clear trend toward integrating advanced data science techniques with traditional power system engineering, particularly in the areas of explainable AI for energy forecasting, stability analysis of renewable-rich power systems, and optimization of building energy management. This interdisciplinary approach has positioned him at the intersection of computer science, control theory, and energy systems engineering. Best paper award from International Conference on Power, Control, and Computing Technologies (2024) Tallinn University of Technology, Young scientist of the 2020 year (awarded 2021) Best-of-the-best conference paper award from IEEE PES General Meeting (2020) Estonian Cultural Foundation of the President, Young IT-scientist award (2019) As an educator, Professor Belikov teaches 'Energy Data Science' (ITS8080), equipping students with IT knowledge and skills for energy sector solutions using data science tools. His administrative roles include membership on the evaluation committee of the Estonian Research Council (ETAG) since 2023, Senior Member of IEEE since 2019, and full membership in Sigma Xi since 2024. His leadership of the Nonlinear Control Systems group demonstrates his commitment to advancing research in control methodologies for modern energy systems, particularly as they integrate increasing amounts of renewable generation and digital technologies.

Nate Fosterمشاهده پروفایل

استاد

• Programming Languages
• Networking
• Formal Verification
• +۳ مورد دیگر

Nate Foster is a Professor of Computer Science at Cornell University and a Visiting Researcher at Jane Street . During 2023-24, he also holds a Visiting Professor position at EPFL in the Data Center Systems Laboratory. His research focuses on Programming Languages and Networking , with significant contributions to formal verification of network data planes and domain-specific language design. Awarded NSF CAREER Award , Sloan Research Fellowship , ACM SIGCOMM Rising Star Award , and ACM SIGPLAN Robin Milner Award Active in program committees for conferences like POPL, PLDI, SPLASH, and ICFP Research Trends : His recent work explores intersections of programming language theory with networking, including symbolic verification tools like KATch , infinite-state network analysis with StacKAT , and active learning frameworks for network automata. He applies formal methods to practical challenges in software-defined networking and hypervisor verification. Scientific Awards : NSF CAREER Award Sloan Research Fellowship ACM SIGCOMM Rising Star Award ACM SIGPLAN Robin Milner Award Academic Leadership : Serves as Session Preview Co-Chair for POPL 2024 and organizes workshops like RPLS 2025. He has chaired tutorials on P4 programming and mentored researchers through PLMW programs.