جست‌وجوی استاد و پژوهشگر

Conor McArdleمشاهده پروفایل

استادیار

• Telecommunications
• Data Centre Networks
• Optical Networking
• +۳ مورد دیگر

Conor McArdle is an Assistant Professor in the School of Electronic Engineering at Dublin City University (DCU). His research focuses on telecommunications networks, datacentre architectures, and optical switching technologies, supported by EU and SFI grants. He has co-authored over 40 publications and co-supervised four PhD students and one MEng student in topics like high-speed optical networks and packet switching protocols. His teaching includes object-oriented programming, network modeling, and algorithms. Research Interests: Optical networking for data centers Energy-efficient network design Telecommunications security Network performance analysis Recent publications emphasize agile optical data center networks, reconfigurable architectures, and hybrid buffering systems. He collaborates with industry on network management and security aspects of mobile networks. Grants & Awards: Extensive EU/SFI-funded projects on network performance and energy efficiency. No specific awards listed. Teaching: Coordinates modules in Algorithms for Engineers (EE324), Network Analysis (EE517), and Programming (EE219).

Adam Belayمشاهده پروفایل

دانشیار

• Computer Architecture
• Distributed Systems
• Operating Systems
• +۵ مورد دیگر

Adam Belay is an Associate Professor in the Department of Electrical Engineering and Computer Science (EECS) at MIT, affiliated with the Computer Science & Artificial Intelligence Laboratory (CSAIL). He holds the Jamieson Career Development Chair and focuses on operating systems, runtime systems, and distributed systems, with a particular emphasis on optimizing datacenter efficiency, security, and resource utilization. His work bridges theoretical systems research with practical implementations in cloud environments. Before joining MIT, Belay completed his Ph.D. at Stanford University and worked at Google on datacenter networking. His research addresses challenges such as latency reduction, resource fungibility, and carbon-aware software design. He leads the Parallel and Distributed Operating Systems (PDOS) group and contributes to the Systems Community of Research (CoR) at MIT. His recent publications highlight innovations like Quicksand (resource-efficient datacenter systems), Junction (kernel-bypass networking), and Hermit (low-latency remote memory systems). These projects emphasize real-world scalability and sustainability, reflecting his commitment to advancing both academic and industrial systems. Awarded the 2014 OSDI Best Paper for IX (a protected dataplane OS), Belay has advised numerous students and postdocs, many of whom now hold prominent roles at top universities and companies like Google, Microsoft, and UCSD. He actively serves on program committees for top systems conferences (e.g., OSDI, NSDI, SOSP) and teaches graduate-level OS seminars and undergraduate systems courses.

Anders Blomdellمشاهده پروفایل

استاد

• Control Systems
• Real-Time Systems
• Embedded Systems
• +۷ مورد دیگر

Anders Blomdell is a Professor in the Department of Control Engineering at the Faculty of Engineering, Lund University. His work bridges theoretical control systems with practical applications in real-time, embedded, and cloud-based environments. He is actively involved in research projects focusing on autonomous systems, industrial automation, and networked control. His research interests include Control Systems , Real-Time and Embedded Systems , Networked Control , Industrial Automation , Robotics , and Cloud-Controlled Systems . These areas reflect his focus on scalable, adaptive, and secure control solutions for complex, interconnected systems. The recent publications highlight a strong trend toward event-based control , large-scale optimization , autonomous adaptation , and secure cloud integration . His work often combines control theory with computer science, particularly in distributed and real-time settings, showing a consistent effort to address challenges in latency, scalability, and robustness. Scientific Awards: Advising and Grants: While specific students are not listed, Anders Blomdell leads and participates in major research initiatives such as WASP, ELLIIT, and the Nordic University Hub on Industrial Internet of Things (HI2OT). These projects involve significant funding and collaboration with industry and academia, indicating active mentorship and leadership in training next-generation researchers. Labs and Teams: He is associated with RobotLab LTH and contributes to the development of tools like TrueTime and LabComm , which are widely used in real-time and networked control research. His work supports both academic and industrial innovation in automation and intelligent systems.

Heming Cuiمشاهده پروفایل

دانشیار

• Distributed Systems
• Operating Systems
• Cloud Computing
• +۷ مورد دیگر

Dr. Heming Cui is an Associate Professor at the Department of Computer Science, University of Hong Kong, affiliated with the School of Computing and Data Science. He joined HKU in 2015 after completing his PhD at Columbia University, following bachelor's and master's degrees from Tsinghua University. His research focuses on distributed systems, operating systems, and high-performance computing, with a strong emphasis on reliability and security. Dr. Cui leads projects in distributed AI training systems, blockchain frameworks, and secure execution environments, collaborating closely with industries like Huawei. He has received notable awards including the Croucher Innovation Award (2016), HK$5 million RGC Research Impact Fund (2023), and best paper awards at ICSE and ACSAC. His work has led to commercialized systems such as Huawei's MindSpore integration of Fold3D and TICS' UTEE component derived from his secure systems research. Dr. Cui actively recruits PhD students specializing in systems security and database systems, prioritizing candidates with strong systems-building backgrounds. Key grants include leadership in projects totaling HK$30 million, including flagship collaborations with Huawei and RGC grants targeting transaction/analytical processing in edge computing and cloud security. His research spans over 50 publications in top venues like SOSP, NSDI, and IEEE journals, emphasizing reproducibility and industrial impact.

Henry Hoffmannمشاهده پروفایل

استاد

• Self-aware Computing
• Adaptive Computing
• Computer Systems
• +۵ مورد دیگر

Henry Hoffmann is Professor and Liew Family Chair of the Department of Computer Science at the University of Chicago. He serves as Chair of the department and leads research in self-aware and adaptive computing systems. His work bridges traditional computer systems areas with control theory and machine learning to create systems that automatically adapt to meet high-level goals. Hoffmann received his Ph.D. from MIT in 2013 under advisors Anant Agarwal and Srinivas Devadas, with his dissertation titled "SEEC: a framework for self-aware management of goals and constraints in computing systems." He earned an S.M. from MIT in 2003 and a B.S. with highest honors and distinction from UNC-Chapel Hill in 1999. Hoffmann's research focuses on developing self-aware computing systems that understand high-level goals and automatically adapt their behavior to meet those goals optimally. His recent work has shifted toward applying these techniques to control machine learning and AI systems, building learning systems that dynamically adapt their internal structure and resource usage to meet accuracy, energy, performance, and security goals at inference time. His interdisciplinary approach combines operating systems, computer architecture, control theory, and machine learning. Analysis of Hoffmann's recent publications reveals a clear trajectory toward increasingly sophisticated applications of self-aware computing principles. His work has evolved from foundational resource management to cutting-edge applications in AI/ML systems, quantum computing, and security. The publications demonstrate a consistent theme of using control theory and machine learning to create adaptive systems that optimize multiple competing objectives like performance, energy efficiency, and reliability. Recent papers show expanding applications into large language models, quantum algorithms, and privacy-preserving techniques. Presidential Early Career Award for Scientists and Engineers (PECASE) 2019 DOE Early Career Award 2015 Samsung Security Hall of Fame recognition IEEE Micro Top Picks Honorable Mention awards FSE Test of Time Honorable Mention ASPLOS Hall of Fame recognition Hoffmann has mentored numerous PhD and Master's students who have gone on to successful careers in academia and industry. His research has secured over $19 million in funding for the University of Chicago. He co-founded Config Dynamics in 2019 to commercialize aspects of his self-aware computing research. His work has practical applications across data centers, edge computing, AI systems, and quantum computing. Hoffmann leads the SEEC (Self-aware, Energy-Efficient Computing) research group at the University of Chicago. The group focuses on developing frameworks and techniques for building self-aware computing systems that can dynamically adapt to changing conditions and requirements. The group maintains strong collaborations with industry partners and other academic institutions, particularly in the areas of quantum computing, AI systems, and energy-efficient computing.

Harry Xuمشاهده پروفایل

استاد

• Programming Languages
• Compilers
• Computer Systems
• +۳ مورد دیگر

Harry Xu is a Professor in the Computer Science Department at the University of California, Los Angeles (UCLA), with a research focus on computer systems spanning programming languages, compilers, runtime/operating systems, distributed systems, and computer architecture. Prior to UCLA, he was an Associate Professor at UC Irvine (UCI). His current work centers on infrastructures for future cloud computing (user-defined clouds) and scalable, cost-effective AI/ML systems. Education : Ph.D. in Computer Science and Engineering from Ohio State University (2011) His research has pioneered techniques for combating software bloat, optimizing data analytics through programming language innovations, and developing systems like Yak GC, VQPy, and Niijima. He co-founded BreezeML, a startup for GenAI risk management, and has held visiting roles at Microsoft Research and IBM Watson Research Center. Recent publications include work on resource-disaggregated datacenters, cloud computing fault tolerance, and ML system scalability, presented at top venues like SOSP, OSDI, and NSDI. He has advised numerous Ph.D. and M.S. students, many of whom now hold academic or industry roles. Awards : 2018 Dahl-Nygaard Junior Prize, ACM Distinguished Scientist Harry actively contributes to academic service as a committee member and co-chair at conferences like PLDI, SPLASH, and VMCAI. He maintains the VQPy project and other open-source systems.

• Cloud Computing
• Edge Computing
• Artificial Intelligence
• +۷ مورد دیگر

Dr. Zhang Qixia is a Postdoctoral Research Fellow in Computer Science at UiT The Arctic University of Norway and a guest researcher at the University of Oslo. She actively contributes to cutting-edge research in cloud/edge computing , machine learning , and energy-efficient IoT systems , with particular focus on air pollution monitoring and wind energy optimization . Current roles: Postdoctoral Research Fellow (UiT), Guest Researcher (University of Oslo) Research projects: HAPADS, MISO, EMLEMS, DILUTE, AirQMan Research group: Arctic Green Computing (AGC) Contact: qixia.zhang@uit.no , +47 96 64 67 05 Her research integrates artificial intelligence with distributed systems to enhance environmental monitoring technologies and renewable energy systems. Recent work demonstrates expertise in autonomous data collection , vehicular edge computing , and machine learning-driven wind energy modeling . Publication Trends reveal a focus on IoT/5G network optimization (2019-2021), wind energy analytics (2022-2023), and intelligent environmental monitoring (2024-2025). Her work bridges computer science with climate science through interdisciplinary applications of transfer learning and control theory . Teaching : Instructor for INF-2300 Computer Communication at UiT.

James Mickensمشاهده پروفایل

استاد

• Computer Security
• Cloud Computing
• Systems Architecture
• +۳ مورد دیگر

James Mickens is the Gordon McKay Professor of Computer Science at Harvard University's School of Engineering and Applied Sciences (SEAS). He specializes in systems security, cloud computing, and web technologies. His research focuses on fundamental advancements in secure systems design, including isolation mechanisms for AI, privacy-preserving protocols, and fault-tolerant storage solutions. Notable contributions include groundbreaking work on hypervisor security (Guillotine), TinyML vulnerability analysis, and resilient cloud storage systems (Carbink). He has been recognized with the Harvard College Professorship (2022) and tenure (2019). His work spans theoretical breakthroughs and practical implementations, often addressing critical gaps in system reliability and user privacy. Mickens' research trends emphasize proactive security measures, efficient resource management, and balancing performance with safety in distributed environments. His articles reflect a focus on real-world applicability, from browser optimization (Crom, Vesper) to cloud infrastructure resilience (Blizzard, Oort). Awards include the Harvard College Professor title, signaling exceptional teaching and scholarly impact. While specific grant details are not provided, his prolific publication record suggests sustained funding in systems research. Mickens' work often critiques conventional approaches, exemplified by his humorous yet incisive keynote critique of 'security as an afterthought.'

Alexey Tumanovمشاهده پروفایل

استادیار

• Machine Learning
• Distributed Systems
• Resource Management
• +۴ مورد دیگر

Alexey Tumanov is an Assistant Professor in the School of Computer Science at Georgia Institute of Technology, part of the College of Computing. His research focuses on systems for machine learning, resource management, and scheduling in distributed environments. He holds a PhD from Carnegie Mellon University and conducted postdoctoral research at UC Berkeley under Ion Stoica. Previously, he worked at the University of Toronto and in industry on cloud computing and datacenter systems. Education: PhD in Computer Science, Carnegie Mellon University (2019) Postdoc, UC Berkeley RISELab (2019) MSc in Computer Science, University of Toronto (2012) BSc in Computer Science, University of Toronto (2010) Research Interests: Tumanov's work addresses challenges in distributed machine learning, including efficient resource management for inference and training pipelines, scheduling algorithms for soft-real-time systems, and federated learning. His lab (SAIL) develops systems like SARATHI-SERVE and RocketKV to optimize LLM inference and co-scheduling. He emphasizes practical deployments in healthcare (HOLMES) and cloud environments. Key Contributions: Ray distributed framework for AI (OSDI 2018) ESCHER scheduler for ephemeral cloud resources (SoCC 2022) InferLine ML pipeline orchestration (SoCC 2020) Awards: NSERC CGS-D3 Scholarship (2016) Best Paper at EuroSys 2016 (TetriSched) Google PhD Fellowship Nominee (2018) Lab & Teaching: Leads the Systems for Artificial Intelligence Lab (SAIL) at Georgia Tech. Teaches advanced courses on operating systems (CS3210) and systems for ML (CS8803-SMR). Supervises 15+ graduate students across PhD and MS programs.

Dimitrios Skarlatosمشاهده پروفایل

استادیار

• Computer Architecture
• Security and Privacy
• Operating Systems
• +۱ مورد دیگر

Dimitrios Skarlatos is an Assistant Professor in the Computer Science Department at Carnegie Mellon University's School of Computer Science. His research bridges computer architecture and operating systems with a focus on performance, security, and scalability. His work revolves around two central themes: (1) redesigning abstractions and interfaces between hardware and OS layers to improve performance and scalability, and (2) uncovering security vulnerabilities and building defenses at the hardware-OS boundary. Research Focus: Operating system security and vulnerability prevention Virtual memory systems and page table optimizations Serverless computing architectures Hardware-software co-design for security Datacenter resource management Dr. Skarlatos advises five PhD students and has published extensively on systems research. He received his PhD from the University of Illinois at Urbana-Champaign, where his dissertation received the ACM SIGARCH & IEEE CS TCCA Outstanding Dissertation Award for contributions to redesigning hardware-OS abstractions.

Kennedy Chinedu Okaforمشاهده پروفایل

پژوهشگر ارشد

• Cyber-Physical Systems
• IoT Applications
• Edge Automation Networks
• +۷ مورد دیگر

Kennedy Chinedu Okafor is a Research Fellow in Mechatronics & Software Engineering at Manchester Metropolitan University (MMU), with a PhD from the University of Nigeria, Nsukka. His roles include Senior Research Associate at the University of Johannesburg (UJ), Adjunct Facilitator at the World Bank Africa Center of Excellence, and external examiner at UJ. He specializes in Cyber-Physical Systems, IoT, Edge Computing, and Robotics. His work includes developing the first indigenous Nigerian COVID-19 Marketplace Robot and establishing Cisco Labs across multiple institutions. Education: PhD in Electronics Engineering (University of Nigeria, 2017), MSc and BSc in Mechatronics Engineering. Professional certifications include AWS, CCNA/CCNP, and IEEE certifications in Cybersecurity, Green IT, and Big Data. Research focuses on Large Scale Software Engineering, Smart Infrastructure, and Cybersecurity. Key projects include the Pandemic Engineering Initiative ($1.2M), Solar-Powered Blood Bank systems, and driverless vehicular dynamics. Over 150 publications across IEEE, Elsevier, and Springer, with 300+ peer reviews. Awardees include UK Tier-1 Global Talent, IEEE Humanitarian Awards, and multiple best paper awards. Active in global initiatives like IEEE Skillup Hub and mentoring 50,000+ youths. Grants exceed £27M, with leadership roles in IEEE committees and global consortiums.

Sam Ogdenمشاهده پروفایل

استادیار

• Mobile Computing
• Cloud Computing
• Deep Learning
• +۳ مورد دیگر

Sam Ogden is an Assistant Professor at California State University, Monterey Bay (CSUMB), where he joined in August 2022. He holds a Ph.D. in Computer Science from Worcester Polytechnic Institute (2022), focusing on mobile-oriented deep learning inference. His academic journey includes degrees in Electrical Engineering, Mathematics, and Computer Science from the University of Vermont, and prior roles as a Product Engineer at IBM and GlobalFoundries. His research bridges mobile devices and cloud computing, emphasizing optimization of machine learning inference for mobile applications. Key areas include edge computing, model execution caching, latency reduction, and energy-efficient distributed systems. Recent work explores mental health screening through smartphone data and text message analysis, expanding into health informatics applications. Research Trends : Recent publications highlight innovations like Layercake (2023) for edge-cloud inference efficiency and MiseEnPlace (2022) for mobile deep learning optimization. Earlier work addresses GPU scheduling (2021), DNN caching challenges (2019), and hybrid mobile-edge frameworks (MODI, 2018). Awards : No scientific awards explicitly mentioned in the provided texts. Advising & Grants : No student advisees or grant details listed. Labs/Teams : Affiliated with CSUMB’s School of Computing & Design, though specific lab affiliations are not detailed.

• Real-time networks
• Embedded systems
• Wireless sensor networks
• +۵ مورد دیگر

Filipe de Faria Pacheco Paulo (born Filipe de Faria Pacheco in 1971) is a Professor and PhD Researcher at the Department of Computer Engineering within the School of Engineering at the Polytechnic Institute of Porto. He has been teaching at this institution since 1996 and is actively involved in research through CISTER (Centre for Research in Cyber-Physical Systems and Technologies), where he has served on the board of directors since 2013. He earned his undergraduate degree in 1994, MSc in 1997, and PhD in 2009, all in Electrical and Computer Engineering from the University of Porto. His academic journey began with research at the Systems and Robotics Institute, Industrial Automation Group (University of Porto) from 1994 to 1996, where he focused on User Interfaces. Professor Pacheco's research spans multiple domains of computer engineering with a strong emphasis on practical applications. His work has evolved from early research in industrial communication protocols and power-line communications to more recent work in wireless sensor networks, Internet of Things, and datacenter energy optimization. His publications reveal a consistent interest in real-time systems and networked embedded computing across diverse application domains including industrial automation, transportation, aerospace, and sustainable computing infrastructure. His approach combines theoretical protocol design with practical implementation considerations. His publication record demonstrates a clear progression from foundational work in industrial communication protocols to cutting-edge research in cyber-physical systems. The thematic evolution shows increasing focus on energy efficiency, scalability, and integration of diverse technologies. His recent work particularly emphasizes applications in sustainable computing, smart infrastructure, and vehicular networks, reflecting contemporary challenges in computer engineering. Best paper award nominee at INForum 2015 for 'Social Media Integration in Video Games: A Social Overlay for Desktop Games' Professor Pacheco has been instrumental in several major research projects including R-Fieldbus, REMPLI, SENODS, SmartSkin, and CarCoDe. His leadership in CISTER since 2002 and position on the board of directors since 2013 highlight his significant role in the research community. His work often involves collaboration with international partners and has practical applications in industrial settings. As a core member of CISTER, he contributes to one of Portugal's leading research centers in cyber-physical systems. The center focuses on real-time and embedded systems with applications across multiple sectors. His work within this framework has helped establish important connections between academic research and industrial applications, particularly in the domains of transportation, energy, and manufacturing.

Pierre Olivierمشاهده پروفایل

مدرس ارشد

• Computer Architecture
• Virtualization
• Hypervisors
• +۴ مورد دیگر

Pierre Olivier is a Senior Lecturer in Computer Architecture specializing in virtualization, hypervisors, systems security, and unikernels. He is affiliated with the Advanced Processor Technology group and has contributed to 37 research outputs since 2017. His work spans embedded systems, cloud computing, and hardware-software co-design, with a focus on improving performance, security, and energy efficiency. Research Interests: Olivier's expertise includes virtual machine optimization, secure software compartmentalization, and cross-architecture execution. His projects, such as HermiTux (a binary-compatible unikernel) and HEXO (offloading compute workloads), highlight his commitment to advancing edge computing and heterogeneous architectures. He collaborates internationally on topics like memory protection and vulnerability mitigation. Key Achievements: He has received the Best Paper Award (2019) and Distinguished Artifact Award (2022) for contributions to unikernel and security research. His work on FlexOS and Secure Code for Capability Hardware (SCorCH) demonstrates his role in advancing secure operating system design. Grants and Projects: Olivier leads or participates in major initiatives like the Centre for Digital Trust and Society and SCorCH, focusing on interdisciplinary cybersecurity and hardware-aware software systems. His datasets, including HermiTux on GitHub, are widely referenced in academic research. Labs/Teams: He contributes to the SCorCH team and collaborates with institutions on projects like Multi-Variant Execution and Heterogeneous-ISA container migration, emphasizing practical applications of theoretical research.

• Microelectronics
• Computer Engineering
• Embedded Systems
• +۷ مورد دیگر

Dr. Ari Kulmala serves as Professor of Practice at Tampere University's Faculty of Information Technology and Communication Sciences in the Computing Sciences department. With extensive industry experience in System-on-Chip (SoC) architecture and design, he specializes in ASIC and FPGA development for applications spanning 5G telecommunications, cloud acceleration, machine learning, security, and ultra-low-power mobile chips. His research focuses on System-on-Chip (SoC) design , with particular emphasis on heterogeneous architectures, RISC-V implementations, and hardware-software co-design for autonomous systems. Recent work includes secure SoC development for nano-UAVs, FPGA-based cryptographic acceleration, and agile chip development methodologies. The article collection demonstrates expertise in SoC architecture (10+ years), with evolving focus from foundational network-on-chip analysis (2008-2009) to modern implementations in RISC-V (2023-2024), cloud security acceleration (2019), and VR/4K video processing (2017-2018). Key technical areas include clock domain management, resource sharing, and performance optimization across various domains. As an industry leader in chip development organizations, Kulmala has worked across Telecom infrastructure (5G) Cloud acceleration Machine learning/AI Security hardware Ultra-low-power IoT Mobile chip design His work spans both academic research and practical implementation, including patents and commercial applications.