جست‌وجوی استاد و پژوهشگر

• Data Management
• Social Media Analysis
• User Behavior Analysis
• +۴ مورد دیگر

Dr. Ying Zhou is a Lecturer in the School of Computer Science at The University of Sydney. She holds a BSc and MEng from Nanjing University (1997) and a PhD from the School of Computing at the National University of Singapore (2003). Her research focuses on human-centred data management, including large-scale data storage, user behavior analysis, and improving image query systems. Current projects include mining socially tagged images and accountability mechanisms for multitenant cloud platforms. Teaching responsibilities include courses on Advanced Data Models (COMP5338), e-Commerce Technology (COMP5347), and Cloud Computing (COMP5349). She collaborates with industry partners like Amazon and IBM, and advises four research students. She is a member of the Sydney Southeast Asia Centre. Her publication record spans 20 years, with recent work emphasizing machine learning applications, big data systems, and cloud security. Research trends include optimizing distributed computing frameworks (Hadoop/Spark/Flink), adversarial machine learning, and trustworthy database systems. Earlier work focused on social network analysis, web communities, and blogosphere dynamics. Current research projects address both technical challenges (e.g., efficient image search, cloud platform accountability) and applied solutions for leveraging social media data. Her lab activities involve interdisciplinary collaboration between computer science and information systems domains.

Mohammad Sooratiمشاهده پروفایل

استادیار

• Artificial Intelligence
• Swarm Robotics
• Human-Swarm Interaction
• +۳ مورد دیگر

Dr. Mohammad Soorati is an Assistant Professor of AI at the University of Southampton , affiliated with the Department of Electronics and Computer Science. His research focuses on human-swarm interaction , swarm robotics , and explainable AI , with applications in trust modeling, aerial swarms, and distributed machine learning. He leads the eXplainable Human-swarm Systems project and co-investigates an EPSRC-funded initiative on 5G-connected UAVs. Dr. Soorati sits on the boards of the Center for Machine Intelligence and Center for Robotics. His research has been featured in outlets like IEEE Spectrum and Robohub . He serves as an associate editor for ICRA and academic editor for PLOS ONE, and holds editorial roles in high-impact robotics conferences (IJCAI, AAAI, AAMAS). His work explores tools for human operators to interpret multi-agent systems and enhance situational awareness. Dr. Soorati teaches Machine Learning Technologies , Interdisciplinary Team Project , and Programming I . He actively supervises PhD students in AI and robotics, with current advisees including Thomas Graham Kelly and William Hunt. His awards include the AAMAS Best Demonstration Award (2023) and a Best Paper Award at ACRS 2010.

Seth Gilbertمشاهده پروفایل

دانشیار

• Distributed Systems
• Algorithmic Techniques
• Blockchain Technology
• +۳ مورد دیگر

Seth Gilbert is the Dean's Chair Associate Professor and Head of the Department of Computer Science at the National University of Singapore. His research focuses on designing robust, scalable algorithms for large-scale distributed systems, particularly in the domains of Byzantine agreement, dynamic networks, and contention resolution. He holds a PhD from MIT (advised by Nancy Lynch) and completed a postdoc at EPFL under Rachid Guerraoui. His work emphasizes three core techniques: accountability (identifying network failures), work-sharing (task distribution in asynchronous environments), and contention resolution (efficient resource allocation). Notable contributions include the DConstructor (PODC 2020) and Polygraph (ICDCS 2021) protocols for accountable Byzantine agreement. He has received multiple awards, including the Edsger W. Dijkstra Prize (2021) and Best Paper Awards at DISC, ICDCS, and IPDPS. Prof. Gilbert has served as program chair for DISC 2021, OPODIS 2019, and SPAA 2016, and currently chairs the DISC Steering Committee. His career includes industry experience at Microsoft (Visual Studio team) and early work on solar car engineering at Yale University.

Michail Maniatakosمشاهده پروفایل

دانشیار

• Encrypted Computation
• Industrial Control Systems Security
• Computer Architecture
• +۳ مورد دیگر

Michail Maniatakos is a Global Network Associate Professor of Electrical and Computer Engineering at NYU Tandon and a Research Associate Professor at NYU Abu Dhabi, serving as Program Head of Computer Engineering. He holds a PhD in Electrical Engineering from Yale University. His primary affiliations include the NYU Center for Cybersecurity (CCS) and directs the Modern Microprocessor Architectures (MoMA) Lab. Education: B.Sc. in Computer Science (University of Piraeus, 2006), M.Sc. in Embedded Systems (University of Piraeus, 2007), M.Sc. in Computer Engineering (Yale, 2008), M.Phil. in Electrical Engineering (Yale, 2009), and Ph.D. in Electrical Engineering (Yale, 2012). Research focuses on encrypted computation, industrial control systems security, and 3D printing security. His work is funded by the U.S. Office of Naval Research, DARPA, and Abu Dhabi's Department of Education and Knowledge. He has authored numerous IEEE/ACM publications, holds patents on privacy-preserving data processing, and serves on conference technical committees. Recent articles explore hardware security, adversarial machine learning, and privacy-preserving computation. His teams have developed secure microprocessor architectures and frameworks for ICS vulnerability analysis. Awards include Senior Member of IEEE. Teaching includes courses like Computer Organization and Architecture and Hardware Security , emphasizing design, security, and ethical implications of emerging technologies. Active in research initiatives such as the NYUAD secure microprocessor project and ICSFuzz framework development. Labs/Groups: MoMA Lab (specializing in microprocessor architectures and security), affiliated with NYU CCS. Collaborates on projects like TREBUCHEt (FHE accelerators) and ICSML (industrial control ML frameworks).

• Cybersecurity
• Privacy-Preserving Technologies
• Federated Learning Security
• +۳ مورد دیگر

Alexandra Dmitrienko is a researcher at the University of Würzburg's Institute of Computer Science. Her work focuses on cybersecurity, privacy-preserving technologies, and secure machine learning systems. She has collaborated extensively with institutions like TU Darmstadt and the University of California. Her research spans federated learning security, IoT device protection, Tor network analysis, and mobile platform vulnerabilities. Key contributions include defenses against poisoning attacks in federated learning, analysis of contact discovery exploits in messengers, and practical SGX cache attack mitigations. She has authored over 90 publications across top conferences like NDSS, CCS, and USENIX Security, and contributed to open-source tools like DNNShield and ClearMark for model ownership verification.

Esther Hänggiمشاهده پروفایل

استاد

• Cyber Security
• Quantum Cryptography
• Information Security
• +۳ مورد دیگر

Esther Hänggi is a Professor and Co-Head of the Applied Cyber Security Research Lab at Lucerne University of Applied Sciences and Arts (HSLU), within the Lucerne School of Computer Science and Information Technology. She holds a Dr. sc. ETH Zurich in quantum information and cryptography and a MSc in Physics from EPF Lausanne. Her research focuses on cyber security, quantum cryptography, and quantum computing, with emphasis on practical applications like quantum-safe cryptography and post-quantum algorithms. She has led projects such as the Quantum-safe Hardware Security Module and contributed to initiatives like the IFZ FinTech. Her work bridges theoretical advancements and real-world implementations, including privacy amplification libraries and quantum key distribution systems. Notable awards include the ETH Medal for her doctoral thesis. She actively collaborates with institutions like the Swiss Quantum Initiative and the European Cyber Security Organisation, promoting quantum resilience in security systems.

Roberto Palmieriمشاهده پروفایل

دانشیار

• Concurrency
• Synchronization
• Distributed Computing
• +۶ مورد دیگر

Roberto Palmieri is an Associate Professor in the Department of Computer Science & Engineering at Lehigh University, where he co-leads the Scalable Systems Software (SSS) Research Group. He holds a Ph.D., M.S., and B.S. in Computer Engineering from Sapienza University of Rome (2012, 2008, 2006). His research focuses on concurrency, synchronization, distributed computing, and heterogeneous systems, emphasizing protocols optimized for multicore, cluster-scale, and geo-distributed infrastructures. His work spans theoretical and practical advancements in distributed systems, including atomic registers, consensus algorithms, and blockchain concurrency control. He has received an NSF CAREER Award for research on RDMA-optimized distributed protocols. Palmieri advises students in the Rossin College of Engineering and collaborates on high-performance computing projects, contributing to frameworks like HyFlow and Shield. Education: Ph.D., Computer Engineering, Sapienza University of Rome (2012) M.S., Computer Engineering, Sapienza University of Rome (2008) B.S., Computer Engineering, Sapienza University of Rome (2006) His research emphasizes scalability, fault tolerance, and performance in distributed systems. Recent work includes protocols for RDMA systems (e.g., ALock, Rome), blockchain transaction management (OCToPus), and hardware-accelerated synchronization (HATS). He has published extensively at top venues like OPODIS, DISC, and IEEE conferences. Awards: NSF CAREER Award (2021) Grants: CAREER: Distributed Protocols and Primitives Optimized for RDMA (2021) Palmieri leads the SSS Group, which develops open-source tools for distributed systems and collaborates on industry-relevant projects. His lab investigates cutting-edge topics like NUMA-aware concurrency, transactional memory, and cloud-optimized data grids.

Saad Mubeenمشاهده پروفایل

استاد

• Embedded Systems
• Real-Time Communication
• Predictable Software Development
• +۵ مورد دیگر

Saad Mubeen is a Full Professor of Computer Science at Mälardalen University, Sweden, affiliated with the School of Innovation, Design and Engineering and the Division of Networked and Embedded Systems. He holds a Master's in Electrical Engineering (Embedded Systems) and a PhD in Computer Science and Engineering from Mälardalen University (2014), with a Docent title (2018) focused on vehicular embedded systems. His research emphasizes predictable embedded systems, timing analysis for real-time communication, and component-based software design. Key areas include model-driven development for automotive systems, integration of TSN/5G networks, and fault-tolerant industrial architectures. He has led projects on end-to-end timing analysis in distributed systems, ROS 2 verification, and cognitive edge-cloud scheduling. Publications span 2021–2025, focusing on real-time systems, network protocols (TSN, AVB, 5G), and industrial automation. Notable work includes frameworks for TSN configuration, fault diagnosis tools using NETCONF, and scheduling algorithms for heterogeneous edge-cloud environments. His contributions address critical challenges in timing predictability, security, and resource optimization for cyber-physical systems. Education contributions include problem-based learning modules for vehicular software engineering. He is actively involved in bridging academia and industry through collaborative research on next-generation automotive and industrial systems.

Phillip Raffeckمشاهده پروفایل

پژوهشگر

• Real-Time Systems
• Embedded Systems
• Energy-Aware Computing
• +۷ مورد دیگر

Phillip Raffeck is a researcher at the Department of Computer Science (INF) within the Chair of Computer Science 4 (System Software) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). His work focuses on real-time systems, embedded systems, and energy-aware computing, with a particular emphasis on worst-case execution time (WCET) and energy consumption (WCEC) analysis. He has contributed to projects like the Invasive Run-Time Support System (iRTSS) and tools for energy-neutral system design. Department: Department of Computer Science (INF) University: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Position: Researcher His research spans real-time systems , multi-core optimization , and power-aware computing . Key contributions include migrative synchronization protocols , energy-neutral operating systems , and code metrics for timing analysis . Recent work explores carbon-aware co-design and predictable migration in embedded environments. Publications highlight collaborations with teams across Germany and international symposia like RTSS, WCET, and EMSOFT. His article trends reflect advancements in intermittent execution models , transactional networking , and static analysis toolchains . He serves as a secondary reviewer for conferences including RTAS and ISORC. Phillip supervises graduate theses on topics such as DMA-based OS offloading , dynamic migration , and interrupt latency analysis . He contributes to teaching courses like Betriebsystemtechnik and Systemnahe Programmierung in C at FAU.

Mian M. Hamayunمشاهده پروفایل

دانشیار

• Computer Science
• Transaction Level Modeling (TLM)
• MPSoC Simulation
• +۱۵ مورد دیگر

Mian M. Hamayun is an Associate Professor of Computer Science and Head of Subject Group at the University of Birmingham Dubai campus, part of the College of Engineering and Physical Sciences. He holds a PhD in System Modelling, Simulation & Virtualization from the University of Grenoble Alpes, France, and has academic qualifications from Joseph Fourier University and COMSATS Institute of Information Technology, Pakistan. PhD in System Modelling, Simulation & Virtualization, University of Grenoble Alpes, 2013 MS in Informatics (Parallel & Distributed Systems), Joseph Fourier University, 2009 MSE in Software Engineering (Gold Medalist), COMSATS, 2005 PGCHE, University of Birmingham, 2021 FHEA and SFHEA, University of Birmingham (2021, 2024) His research spans Transaction Level Modeling (TLM) , MPSoC simulation , cloud computing , virtualization , Internet of Things/Vehicles , edge AI , and TinyML . He focuses on performance estimation, binary translation, and system-level simulation for embedded and distributed systems. The recent publications reflect a strong trend in IoT and vehicular networks , secure telemedicine , cloud orchestration , and embedded system simulation . His work integrates virtualization with security, real-time constraints, and machine learning on edge devices. Senior Fellow of the Higher Education Academy (SFHEA), 2024 Fellow of the Higher Education Academy (FHEA), 2021 Dr. Hamayun has supervised multiple research students and contributed to projects involving fatigue detection, person re-identification, retinal image analysis, and secure surgery frameworks. He has taught core computer science courses including Operating Systems, Networks, Data Structures, Algorithms, and Functional Programming at both undergraduate and postgraduate levels. His prior roles include Assistant Professor at NUST SEECS, R&D Engineer in France, and Lecturer at IUT1. He leads research in virtual prototyping and edge intelligence at the Dubai campus, contributing to smart city and cognitive systems initiatives. His lab work involves hybrid simulation environments, secure automotive platforms, and distributed IoT systems.

• Theoretical Computer Science
• Formal Program Verification
• Parametrised Algorithms
• +۴ مورد دیگر

Amir Kafshdar Goharshady is an Associate Professor of Computer Science at the University of Oxford and a Tutorial Fellow at St Catherine's College. His research focuses on theoretical computer science, including formal program verification, parametrised algorithms, compiler optimisation, and blockchain technology. He leads the ALPACAS research group, which explores algorithms, logic, program analysis, cryptocurrencies, and smart contracts. Education: PhD in Theoretical Computer Science from IST Austria (supervised by Prof. Krishnendu Chatterjee), MSc in Computer Science (Systems) from Georgia Tech, and undergraduate studies in Maths and Computing at the Universities of London and Yazd. Prior to Oxford, he was an Assistant Professor at HKUST and maintains a visiting role at IIT Bombay. Research Interests: Formal methods for program verification Algorithmic efficiency in compiler optimisation Decentralized systems and blockchain applications Game-theoretic approaches to secure protocols Advising and Grants: Supervises over 20 PhD and Master’s students, with a rigorous selection process emphasizing problem-solving skills. Leads an international research group with multiple grants and collaborations. Former roles include organizing high school Olympiads and founding the Sundar STEM School in Pakistan. Labs/Teams: ALPACAS group, known for its work on smart contract optimization, blockchain security, and parametrised algorithm design. Regularly hosts visiting researchers such as Petr Novotný and Thomas Henzinger.

• Service-oriented Computing
• Web Services
• Workflow Technology
• +۷ مورد دیگر

Jun Yan is a Professor at the University of Wollongong's School of Computing and Information Technology within the Faculty of Engineering and Information Sciences. His roles include academic leadership and research supervision, with active involvement in committees like the Student Academic Experience Sub-Committee and Quality Assurance Review Group. Current research focuses on service-oriented computing, workflow technology, adaptive process management, and AI-driven systems. His work intersects with IoT, UAV systems, federated learning, and multi-agent reinforcement learning. Research interests span service-oriented software engineering, decentralized workflow management, and cybersecurity challenges in autonomous systems. Notable projects include an ARC-funded initiative on robust defenses against adversarial ML for UAV systems (2025–2027). He supervises Masters/PhD projects on topics like diffusion model-based MRI, graph prompt learning, and industrial defect detection. His publications from 2023–2025 emphasize scalable multi-agent systems, federated learning with non-IID data, and UAV applications in intelligent transportation. Key areas of contribution include trust models for e-commerce, privacy-preserving cloud computing, and fault-tolerant service architectures.

Florentin Rochetمشاهده پروفایل

استادیار

• Anonymous Communication
• Network Security
• Transport Protocols
• +۵ مورد دیگر

Florentin Rochet is an Assistant Professor at the University of Namur's Faculty of Computer Science. His research focuses on anonymous communication , network security , and encrypted transport protocols , with a particular emphasis on improving privacy-enhancing technologies and protocol design. He holds a PhD in Applied Cryptography and has contributed to projects like TCPLS (TCP/TLS integration) and CLAPS (Tor path selection). Key academic milestones include joining UNamur in 2022 as an Assistant Professor, completing a postdoc at the University of Edinburgh (2021), and serving on program committees for Usenix Security, ACM CCS, and PoPETs. He has received the Usenix Security Noteworthy Reviewer Award (2023) and the 2020 Alan Berman Research Publication Award. His research spans flexible anonymous networks , secure transport protocols , and authentication technologies , with notable work on improving Tor's resilience against attacks through location-aware path selection and enhancing TLS/TCP integration for modern networks. He also leads a research group exploring eBPF security and WebAssembly runtime protections. Teaching responsibilities include computer security and privacy courses, with a 6-year teaching assistant position involving bachelor's/master's instruction and PhD supervision. His lab focuses on applied cybersecurity, network protocol innovation, and privacy-preserving systems design.

Tao Xingمشاهده پروفایل

استاد

• Computational Fluid Dynamics (CFD)
• Verification and Validation (V&V)
• Fluid-Structure Interactions
• +۵ مورد دیگر

Dr. Tao Xing is a Professor in the Department of Mechanical Engineering at the University of Idaho. He holds a Ph.D. in Mechanical Engineering from Purdue University (2002) and is a licensed Professional Engineer (P.E.). His research focuses on computational fluid dynamics (CFD), verification/validation (V&V), biofluids, and wind turbine design. He directs the 3D Imaging and Printing Laboratory and has secured $3.8M+ in research funding from NSF, NIH, and industry. Key awards include the 2019 University Excellence in Interdisciplinary Collaboration Award and 2018 Mid-Career Faculty Award. His educational contributions include developing adaptive learning modules for ABET outcomes and integrating CFD into engineering curricula. He has advised 6 graduate students and currently mentors 2 Ph.D. candidates. Notable projects include aerogel insulation systems, CSF drug delivery modeling, and offshore wind turbine simulations.

Frieder Ladischمشاهده پروفایل

دانشیار

• Quantum Physics
• Quantum Information
• Photonics
• +۲ مورد دیگر

PD Dr. Frieder Ladisch serves as an Associate Professor at the Institute for Mathematics within the Faculty of Mathematics and Natural Sciences at the University of Rostock, Germany. His institutional affiliation includes membership in the Geometry working group (AG Geometry), with office location at Ulmenstraße 69, Haus 3, Room 231, and contact via university email and phone. His research program centers on Quantum Physics and Quantum Information , with specialized expertise in: Non-Hermitian quantum systems and PT-symmetry phenomena Topological photonic implementations including Su-Schrieffer-Heeger lattices Non-Abelian geometric phases and quantum holonomy Quantum random number generation using solid-state photon sources Experimental quantum optics with integrated photonic circuits Analysis of his 15 most recent publications (2019-2025) reveals consistent focus on PT-symmetry breaking experiments, quantum walk implementations in topological photonic structures, and quantum random number generation using hexagonal boron nitride emitters. His work bridges theoretical non-Hermitian quantum mechanics with practical photonic implementations. Dr. Ladisch operates within the Geometry working group at Rostock's Institute for Mathematics, where his research integrates mathematical geometry concepts with quantum information processing through photonic chip technologies and single-photon source applications.