جست‌وجوی استاد و پژوهشگر

Jose Santosمشاهده پروفایل

مدرس

• Networking
• Wireless Communications
• Machine Learning
• +۳ مورد دیگر

Dr Jose Santos serves as Associate Head of the School of Computing and Lecturer in the Faculty of Computing, Engineering and the Built Environment at Ulster University. Based at the Belfast campus (2-24 York Street), he maintains an active research profile with 54 publications since 2000 and a Scopus h-index of 9. His leadership extends to the Computer Science Research group where he contributes to the university's UN Sustainable Development Goal initiatives. Dr Santos' research centers on networking and communications, with foundational work in geographical routing protocols for mobile ad-hoc networks (MANETs) evidenced by his highly-cited survey (193 citations). His expertise spans quality of service optimization , location-aware routing for disaster telemedicine , and multimedia streaming in emergency scenarios . Recent expansions include Robotics: Bio-inspired control systems using reinforcement learning for coverage and navigation Emerging technologies: Blockchain-based edge computing (BECA architecture) and SLAM systems for autonomous navigation Sustainability applications: Low-cost environmental monitoring and battery health estimation His work consistently bridges theoretical networking concepts with real-world emergency response challenges. Analysis of recent publications (2021-2025) reveals strategic convergence of AI with physical systems. Key trends include sensor fusion for robotics (monocular-LiDAR SLAM), blockchain for secure IoT edge computing, and neural networks for battery diagnostics. This evolution maintains his core networking expertise while addressing sustainability through pollution monitoring and energy-efficient systems, aligning with Ulster University's focus on practical technological solutions for global challenges. Dr Santos has supervised 4 research students and secured funding for impactful projects including: KTP Programme with Fire Glass Direct Ireland Ltd (2012-2015): Transferred academic knowledge to industrial applications Ja.NET location awareness proposal (2008): Pioneered cooperative positioning techniques for indoor environments His external engagement includes serving as External Examiner at Griffith College (2015-2017), demonstrating commitment to academic standards beyond Ulster University. As part of Ulster's Computer Science Research group, Dr Santos contributes to multidisciplinary teams addressing UN Sustainable Development Goals. His current work integrates drone communications for fire emergency response, particulate matter monitoring, and blockchain architectures - reflecting a trajectory toward intelligent systems that enhance community resilience and environmental sustainability through rigorous networking research.

Riccardo Lazzerettiمشاهده پروفایل

دانشیار

• Privacy-Preserving Technologies
• Secure Multi-Party Computation
• Biometric Security
• +۵ مورد دیگر

Riccardo Lazzeretti serves as Associate Professor at Sapienza University of Rome since September 2022, following progression from Assistant Professor roles (RTD-A/B) at the same institution from 2017-2022. His academic trajectory includes post-doctoral research at the University of Siena's VIPP group, a research grant at the University of Padua, and industry experience at Italian startup Cynny s.p.a. His educational foundation comprises: MSc in Computer Science Engineering, University of Siena (2007) PhD in Information Engineering, University of Siena (2012) Lazzeretti's research centers on privacy-preserving technologies with emphasis on Secure Multi-Party Computation for encrypted signal processing. His work spans biometric security (including multi-biometric authentication), IoT security protocols, blockchain applications in healthcare, and social network misinformation detection. Recent publications demonstrate deep integration of cryptographic techniques with machine learning for resource-constrained devices and critical infrastructure protection. Analysis of his 15 most recent publications reveals dominant trends in IoT/drone security (32% of works), browser/API vulnerabilities (13%), and privacy-preserving architectures (27%). His research consistently bridges theoretical cryptography with practical system implementations, particularly for emerging technologies like NDN and programmable data planes. His scholarly recognition includes: SIGMM Test of Time Paper Honourable Mention (2021) for Multimedia Security contributions IET Biometrics Premium Best Paper Award (2021) Lazzeretti has supervised graduate students at the University of Siena and secured research funding through collaborations with NATO's CMRE, Digital Catapult (UK), and IMT Lucca. Current projects include privacy-preserving consensus algorithms for IoT and blockchain-based health applications. He maintains active partnerships with European research entities including Centre for Maritime Research and Experimentation and Digital Catapult. His laboratory affiliations encompass the VIPP research group at University of Siena and ongoing collaborations with Sapienza's cybersecurity initiatives, focusing on cross-disciplinary teams integrating signal processing, cryptography, and machine learning expertise.

Christopher V. Gabelمشاهده پروفایل

دانشیار

• Neurobiology
• Neural Regeneration
• Calcium Signaling
• +۳ مورد دیگر

Christopher V. Gabel is an Associate Professor at Boston University, specializing in Neural Regeneration and Anesthesia. He conducts in vivo research at the intersection of engineering, biophysics, and neuroscience using C. elegans as a model organism. His work focuses on neuronal damage response, calcium signaling, and biophotonic technology development. Education : B.A. from Princeton University, Ph.D. from Harvard University Research Interests : Dr. Gabel investigates how neuronal activity and calcium signaling influence regeneration after cellular damage. His lab leverages C. elegans for its mapped nervous system and genetic tractability, developing novel biophotonic tools like femtosecond laser microsurgery and advanced calcium imaging techniques. Key themes include: Regenerative neurobiology and axon repair mechanisms Anesthetic effects on neural network dynamics Development of open-source toolboxes for neural data analysis Age-related changes in neuronal excitatory/inhibitory balance High-speed volumetric imaging technologies Scientific Contributions : His articles demonstrate expertise in combining C. elegans genetics with cutting-edge imaging modalities to study fundamental questions about neuronal repair, anesthetic mechanisms, and network-level information processing. The lab's work bridges basic research with translational applications in neuroregeneration and anesthesiology. Technical Expertise : The lab develops and applies advanced imaging systems including: Mesoscopic oblique plane microscopy Programmable LED array reflectance microscopy Event camera-integrated Fourier light field microscopy Femtosecond laser microsurgery platforms CaNetiCs dimensionality reduction toolbox

Etienne Zinkمشاهده پروفایل

پژوهشگر

• Software-Defined Networking (SDN)
• P4 Programming Language
• Network Security
• +۳ مورد دیگر

Etienne Zink is a PhD Student & Research Assistant at the University of Tübingen , affiliated with the Faculty of Science and the Department of Computer Science , specifically the Chair of Communication Networks. His research focuses on Software-Defined Networking (SDN) and P4 programming language applications in network monitoring and softwarization. B.Sc. in Computer Science (2019-2022) at DHBW Stuttgart Campus Horb M.Sc. in Computer Science (2022-2024) at the University of Tübingen Etienne contributes to network softwarization research through projects involving Snabb-Based Service Functions and Rust Barefoot Runtime (RBFRT) . His work addresses performance optimization, protocol enhancements, and runtime control in SDN architectures. Recent publications focus on histogram-based RTT monitoring and P4TG framework improvements. He supervises courses including Network Security I/II and Public Cloud Computing , while tutoring Network Softwarization and Informatik der Systeme . Etienne's programming expertise includes Rust and P4 for network device control.

Boris Koldehofeمشاهده پروفایل

استاد

• Networked and Distributed Systems
• Middleware
• Event-based Systems
• +۷ مورد دیگر

Boris Koldehofe is a Professor of Computer Networks at the University of Groningen's Faculty of Science and Engineering, where he leads research in distributed systems and network technologies. He also maintains significant academic connections as an Adjunct Professor at TU Darmstadt (as part of the DFG Collaborative Research Centre 1053 MAKI) and recently joined TU Ilmenau as Professor heading the Distributed Systems and Operating Systems Group. His educational background includes a Habilitation in Communications and Distributed Systems from Technische Universität Darmstadt (2019), a Ph.D. from Chalmers University of Technology (2005), and a Diplom in Informatik from Universität des Saarlandes (1999). Throughout his career, he has held positions at prestigious institutions including Technische Universität Darmstadt, Universität Stuttgart, EPFL, and Ruprecht-Karls-Universität Heidelberg. Koldehofe's research focuses on networked and distributed systems with particular emphasis on middleware, event-based systems, software-defined networking, and the emerging field of in-network computing. His work has evolved significantly toward energy-efficient cognitive computing, especially through the exploration of memristor-based technologies for network functions. His research addresses critical challenges in distributed systems performance, privacy, and adaptability in increasingly complex network environments. His recent publications demonstrate a clear trajectory toward energy-efficient network computing, with a significant portion of his work in the last three years focusing on memristor applications for cognitive network functions, in-network data stream processing, and privacy-preserving analytics. His research bridges theoretical distributed systems concepts with practical networking implementations, particularly leveraging programmable data planes and novel hardware architectures. 2019 ACM Service Recognition Award for organizing the 13th ACM Conference on Distributed and Event-Based Systems 2017 Best Research Paper at ACM USENIX Middleware Conference 2015 Ausgezeichneter Ort Land der Ideen (Excellent innovation with CRC MAKI) As an academic advisor, Koldehofe has supervised several doctoral students including Manisha Luthra (awarded KUVS Dissertation Award for 'Network-centric Complex Event Processing') and Saad Saleh (who successfully defended his PhD on memristor-based computing architectures). His research has been supported by numerous grants including DFG-funded projects like 'DynSDN', industry collaborations with Deutsche Telekom, and participation in the CogniGron research center focused on cognitive systems and materials. He leads the Distributed Systems Group at University of Groningen and collaborates extensively with research teams at TU Ilmenau and TU Darmstadt through the MAKI research center.

Peter Danielisمشاهده پروفایل

استاد

• Parallel Systems
• Distributed Computing
• Time-Sensitive Networking
• +۴ مورد دیگر

Prof. Dr.-Ing. habil. Peter Danielis holds an Extraordinary Professorship in Parallel Systems at the Institute of Computer Science, University of Rostock. His research focuses on parallel and distributed systems with applications in time-sensitive networking, autonomous underwater vehicles, and industrial IoT. He serves as Deputy Director of the Institute of Computer Science (IFI) and participates in editorial boards for multiple conferences and journals. His primary research interests span Parallel Systems , Distributed Computing , and Time-Sensitive Networking , with significant contributions to mobile opportunistic networks and real-time communication in industrial settings. Current projects include cooperative navigation of autonomous underwater vehicles (AUVs) and distributed communication networks for IoT applications. His work bridges theoretical research with industrial implementation, particularly in deterministic networking for critical infrastructure. Analysis of his recent publications (2020-2025) reveals strong emphasis on Time-Sensitive Networking (TSN) for industrial automation, with 7 of 15 recent papers directly addressing TSN scheduling, reliability, and traffic management. Secondary focus areas include Autonomous Underwater Vehicle coordination (3 papers) and Mobile Opportunistic Networks for urban sensing. His methodology combines simulation, protocol design, and real-world validation. Professional affiliations include membership in the Institute of Electrical and Electronics Engineers (IEEE). He serves as TPC member and editorial board member for various conferences and journals. His teaching portfolio covers High Performance Computing, Operating Systems, and Complex Software Systems. As Deputy Director of the Institute of Computer Science, he oversees academic operations while maintaining active research leadership. His laboratory work focuses on real-time communication systems and underwater vehicle networks, utilizing simulation frameworks like OMNeT++ for protocol validation. Current research directions include adaptive TSN scheduling and cooperative AUV navigation in dynamic environments.

• Energy Storage
• Materials Engineering
• Battery Technology
• +۳ مورد دیگر

Adam Boyce is an Assistant Professor at the School of Mechanical and Materials Engineering, University College Dublin (UCD). He holds a BSc and ME from UCD, and a PhD in Materials Engineering from the University of Cambridge. Prior to UCD, he was a postdoctoral researcher at University College London and the Faraday Institution. He currently serves as Programme Director for the MEngSc Materials Science and Engineering program. His research focuses on energy storage systems, particularly lithium-ion and solid-state batteries, with an emphasis on microstructural design, electrochemical modeling, and manufacturing processes. Education: BSc, University College Dublin ME (Master of Engineering), University College Dublin PhD, University of Cambridge Research Interests: Adam’s work spans experimental and computational studies of battery materials and devices. Key areas include optimizing electrode structures for thick batteries, analyzing cracking mechanisms (e.g., mud cracking), and developing chemo-mechanical models to predict battery performance. His research integrates advanced imaging (e.g., X-ray tomography) with modeling to address challenges in energy density, cycle life, and manufacturing scalability. Teaching: He coordinates modules such as 'Technical Ceramics', 'Materials Science and Engineering I', and supervises projects for the MEngSc Materials program. Labs/Teams: His research is part of UCD’s broader efforts in sustainable energy technologies, collaborating with institutions like the Faraday Institution and the Electrochemical Innovation Lab.

Hamed Rezaeiمشاهده پروفایل

استاد مدعو

• Computer Networks
• Congestion Control
• Low-Latency Networking
• +۳ مورد دیگر

Hamed Rezaei is an Adjunct Professor in the Department of Computer Science at the University of Wisconsin-Milwaukee, affiliated with the College of Engineering & Mathematical Sciences. He works as a full-time researcher at Rockwell Automation, focusing on computer networks, particularly congestion control and low-latency applications. Education: PhD in Computer Science, University of Illinois at Chicago MS in Computer Science, University of Illinois at Chicago BS in Computer Science, Razi University, Iran His research interests include: Congestion Control Software Defined Networking (SDN) Network Function Virtualization (NFV) Programmable Data Planes Publications highlight expertise in datacenter networking, congestion control, and low-latency systems. Key areas include network protocols, SDN-based traffic management, and security frameworks for large-scale networks. His work spans both theoretical and applied domains, including contributions to datacenter topologies (Superways), flow scheduling (ResQueue), and DDoS detection mechanisms. Contact: rezaeih@uwm.edu

Kamil Saracمشاهده پروفایل

استاد

• Computer Networks
• Network Security
• Software-Defined Networks (SDN)
• +۴ مورد دیگر

Kamil Sarac is a Professor and Associate Head for Faculty Affairs in the Department of Computer Science at the University of Texas at Dallas (UT Dallas), part of the Erik Jonsson School of Engineering and Computer Science. He holds a Ph.D. in Computer Science from the University of California, Santa Barbara (2002), an M.S. in Computer Science from the same institution (1997), and a B.S. in Computer Engineering from Middle East Technical University (1994). His research focuses on computer networks and protocols, including network monitoring, software-defined network (SDN) security, future Internet architecture, energy-efficient broadcast in ad hoc networks, and overlay networks. He leads projects such as the UTD Cyber Service Academy Scholarship Program and teaches courses like Network Security (CS 6349) and Computer Networks Lab (CS 4396). He directs cybersecurity education initiatives, managing NSF-sponsored CyberCorps and DoD programs, advising scholarship students, and mentoring them toward federal government careers. His lab work includes SDN security exercises and cybersecurity competition management systems like CTF-PM.

• Cloud/Edge Computing
• 6G Networks
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Ali Khoshkholghi is a Lecturer in Computing Science at Middlesex University's Faculty of Science and Technology, Department of Computer Science. He leads modules on Operating Systems, Computer Networks, and Network Security while conducting research at the intersection of cloud/edge computing, 6G networks, and AI-driven network optimization. His research develops intelligent frameworks for next-generation networks, focusing on performance optimization of service function chains in NFV-enabled environments, federated learning for multi-operator systems, and security protocols for IoT ecosystems. Recent projects include blockchain-IoT integration for smart environments, UAV network optimization, and threat detection systems for intelligent transportation. Dr. Khoshkholghi's publications demonstrate consistent innovation in network architectures, with work on in-band telemetry optimization (IntOpt), edge intelligence deployment, and federated learning models for telecommunications. His security research addresses vulnerabilities in messaging protocols, malware detection in smart homes, and cryptographic evaluation using formal methods.

Gianni Antichiمشاهده پروفایل

مدرس ارشد

• Networks
• Computer Architecture
• Programmable Hardware
• +۳ مورد دیگر

Dr. Gianni Antichi is a Senior Lecturer at Queen Mary University of London's School of Electronic Engineering and Computer Science, and an Associate Professor at Politecnico di Milano. His research focuses on network architecture, programmable hardware, and data plane optimization. He holds grants from EPSRC and Facebook Research, and has received multiple awards including Best Paper at SIGCOMM 2017. Antichi teaches modules on distributed systems, computer networks, and Internet protocols. Research Interests: End-host networking stacks, programmable hardware (SmartNICs/FPGA), network telemetry, data center optimization, and traffic analysis. His work spans from low-level data plane design to high-level network monitoring solutions. Key Awards: EPSRC New Investigator Award (2020), Facebook Networking Research Award (2020), Best Student Paper at EuroSys 2025, and ACM SIGCOMM Best Paper (2017). Grants & Projects: Leads NEAT (EPSRC-funded network telemetry project), and collaborates with industry on software data plane optimization. Active in mentoring PhD students and researchers in distributed systems and network hardware. Labs/Teams: Part of Queen Mary’s Centre for Networks, Communications and Systems, focusing on programmable networking and high-performance systems.

Diego López Pajaresمشاهده پروفایل

مدرس

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

Diego López Pajares is a Lecturer at the Department of Automática within the Universidad de Alcalá, Spain. His research focuses on Software-Defined Networking (SDN), Internet of Things (IoT), edge computing, and AI-driven network optimization. He is a member of the NetIS research group (Networks and Intelligent Systems), which explores programmable networks and intelligent systems for future communication infrastructures. He earned his Doctorate in Engineering from Universidad de Alcalá with a thesis titled Nuevos conmutadores de red para redes integradas con SDN (New SDN-enabled network switches for integrated networks), supervised by Dr. Juan Antonio Carral Pelayo and Dr. Elisa Rojas Sánchez. His work addresses challenges in scalable network protocols, hybrid SDN architectures, and AI applications in telecommunications. Key research trends include edge computing IIoT systems, fault prediction in smart grids, and 6G-enabling technologies. His publications emphasize in-band control protocols, disjoint path algorithms, and P4-programmable switches. Collaborative efforts with industry and academia aim to bridge theoretical advancements with practical network deployments. Notable contributions include the BareFlow protocol for Layer-2 plug-and-play routing, MDTA algorithm for dynamic environments, and eHDDP for heterogeneous network discovery. These innovations address scalability, security, and interoperability in modern network ecosystems. López Pajares' work intersects with military deployable networks, autonomous vehicle traffic systems (SYROPS), and cloud continuum architectures. His research bridges traditional networking domains with emerging paradigms like AIoT and software-defined infrastructures.

Elisa Rojas Sánchezمشاهده پروفایل

استاد

• Networking
• Software-Defined Networking (SDN)
• Edge Computing
• +۷ مورد دیگر

Elisa Rojas Sánchez is a tenured professor at the University of Alcalá, affiliated with the Department of Automation within the School of Telematics Engineering. Her primary research focuses on advanced networking technologies including Software-Defined Networking (SDN), edge computing, IoT integration, and network architecture optimization. She leads the NetIS research group (Networks and Intelligent Systems), exploring innovations in programmable networks and intelligent systems for future communication infrastructures. Her academic background includes a doctoral thesis on high-performance transparent Ethernet switch architectures. She has contributed significantly to protocols like ARP-Path and Torii-HLMAC, advancing scalable routing and fault-tolerant data center designs. Her work bridges theoretical networking research with practical implementations in 6G, industrial IoT, and cloud-edge continuum systems. Recent publications highlight breakthroughs in data-driven protocols (e.g., BareFlow), AI-driven fault prediction in smart grids, and topology-aware resource management in dense networks. She also explores educational innovations like gamification in engineering teaching and hybrid SDN methodologies. Key Research Themes: SDN protocols, edge computing frameworks, IoT scalability, network resilience, AI in networking Notable Achievements: Developed open-source tools like NetIDE, contributed to OpenFlow standards, and pioneered multi-path routing algorithms Her work frequently addresses real-world challenges such as latency reduction in programmable ASICs (Tofino P4), secure in-band control channels, and collaborative resource-sharing in edge environments. She actively participates in international conferences as a program chair and continues advancing the next generation of network architectures.

• Computer Systems
• Networks
• Architecture
• +۱۰ مورد دیگر

Muhammad Shahbaz is an Assistant Professor of Computer Science and Engineering at the University of Michigan , where he leads the NextGArch Lab . His research spans computer systems, networks, and architecture , focusing on domain-specific abstractions and programmable infrastructure for emerging workloads like machine learning and 5G networks. Postdoc, Electrical Engineering, Stanford University (2020) Ph.D. & M.A., Computer Science, Princeton University (2018) B.E., Computer Engineering, National University of Sciences and Technology (NUST) His work includes designing reconfigurable architectures for line-rate machine learning and next-generation networks . Recent publications explore in-network acceleration , DDoS detection , and SmartNIC optimization , reflecting his expertise in networking systems and domain-specific compilers . Notable honors include the NSF CAREER Award (2024) , Google Research Scholar Award (2024) , and SRC JUMP 2.0 Best Paper Award (2024) . He mentors students in systems research and collaborates on projects like the NSF Convergence Accelerator Phase 1 Award for Track G.

Yi King Choiمشاهده پروفایل

مدرس ارشد

• Medical visualization
• Geometric computing
• Computer graphics
• +۳ مورد دیگر

Dr. Yi-King Choi is a Senior Lecturer and Master Programme Associate Director at the School of Computing and Data Science (CDS), University of Hong Kong. She holds BSc, MPhil, and PhD degrees in Computer Science from HKU. Her research focuses on geometric computing, computer graphics, and medical visualization with notable contributions to collision detection algorithms for ellipsoids and quadric models. She leads the WATERMAN project developing water quality management systems and has received awards including the Li Ka Shing Prize for Best PhD Thesis (2009). Education BSc (First Class Honors), University of Hong Kong (1996) MPhil, University of Hong Kong (2000) PhD, University of Hong Kong (2008) Research Interests Geometric computing with emphasis on quadric surfaces and collision detection Medical visualization applications Computer graphics algorithms for real-time systems Awards Best Tutor Award (2005) Li Ka Shing Prize for Best PhD Thesis (2009) Her publications emphasize computational geometry solutions for complex geometric problems, with recent work advancing collision detection methodologies in robotics and computer-aided design contexts. Collaborative projects include the HKU Computer Graphics Group's work on quadric surface intersections and parametric modeling.