جست‌وجوی استاد و پژوهشگر

• Filesystems
• High Performance Computing
• Distributed Storage
• +۴ مورد دیگر

Ramnatthan Alagappan is an Assistant Professor at the Siebel School of Computing and Data Science, University of Illinois. His research focuses on distributed systems, storage systems, and fault tolerance in modern datacenter environments. He leads projects investigating high-performance storage abstractions, replication strategies, and reliability engineering for distributed infrastructure. Key research areas include filesystem design, crash consistency mechanisms, and optimizing storage hierarchies for hybrid NVM environments. His work emphasizes practical implementations of theoretical models, such as the LazyLog shared log abstraction and IONIA replication framework for disk-based key-value stores. Alagappan has received the NSF CAREER Award (2024) for his research on datacenter-aware storage systems. His recent publications address challenges in disaggregated datacenters, fault tolerance for modern workloads, and automated reliability testing for cluster management systems. He collaborates extensively on projects involving distributed storage protocols, log-based systems, and performance optimization for large-scale infrastructures. His research spans theoretical contributions (e.g., consistency models) to applied systems work (e.g., implementing fault-tolerant storage stacks), with a focus on bridging gaps between hardware capabilities and software system design.

Zhenkai Zhangمشاهده پروفایل

استادیار

• Computer Systems Security
• Cyber-Physical Systems
• Hardware Security
• +۴ مورد دیگر

Zhenkai Zhang is an Assistant Professor at the School of Computing, Clemson University. Previously, he held an academic position at Texas Tech University (2019–2021). His research focuses on computer systems security, cyber-physical systems, and hardware vulnerabilities. He holds a Ph.D. from Vanderbilt University (supervised by Prof. Xenofon Koutsoukos), an M.S. from the University of Chinese Academy of Sciences, and a B.S. from Beijing Institute of Technology. His research interests include GPU security, side-channel attacks, memory corruption exploits, and defensive techniques leveraging physical layer information. Recent work involves GPU cache attacks, DNN backdoor insertion, and electromagnetic side-channel exploitation. Received "Distinguished Reviewer" award at CCS'24 . Notable contributions include Graphics Peeping Unit (Oakland 2022), Leveraging EM for Rowhammer Detection (Oakland 2020), and BitJabber (HOST 2020). Current Ph.D. advisees include Hongyue Jin and Fatemeh Moradihaghighi. Alumni Zihao Zhan and Sisheng Liang now hold academic positions. Active grants include NSF projects on rowhammer defenses and secure CPS control. Professional activities include TPC roles at CCS, Oakland, and EuroS&P, plus editorial and organizational roles in security conferences.

Roberto Yusمشاهده پروفایل

استادیار

• Data Management
• Knowledge Representation
• Privacy
• +۷ مورد دیگر

Roberto Yus is an Assistant Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). He leads the DAta Management & Semantics (DAMS) Research Group and previously served as a Postdoctoral Researcher at the University of California, Irvine (UCI). Education: Ph.D. in Computer Science (University of Zaragoza, 2016), M.S. (2011), and B.S. (2010) in Computer Science from the same institution. Research Interests: Focuses on semantic data management in IoT environments, privacy-preserving systems, smart buildings, and water systems. His work includes developing frameworks like PRIVACYLENS, SMARTSPEC, and SEMIOTIC to bridge IoT device interactions with user requirements and privacy preferences. Publications & Projects: Over 30 peer-reviewed articles in top conferences/journals (e.g., VLDB, PerCom). Projects include TIPPERS (privacy-preserving middleware), Co-zyBench (thermal comfort benchmarking), and GenAIPABench (AI privacy assistants). Awards: Mark Weiser Best Paper Award (2022), 2nd place INCS-CoE Sandpit Challenge (2022), FPI Fellowship (2011-2015). Advising: Mentors Ph.D., MS, and undergraduate students in IoT, privacy, and data management. Grants: $40K INCS-CoE Seed Funding (2022), NSF S&CC grants, and Spanish Ministry grants totaling $31K in mobility support. Labs & Teams: Leads the DAMS Group at UMBC and collaborates with researchers at UCI, Telecom SudParis, and international institutions. Active in IEEE and ACM conferences, editorial roles for Sensors and Frontiers in Big Data .

• Operating Systems
• Distributed Systems
• Reliable Systems
• +۴ مورد دیگر

Christian Dietrich is a Professor for Reliable Distributed Systems at Technical University of Braunschweig since 2024, where he heads the Reliable System Software research group within the Institute of Operating Systems and Computer Networks, part of the Faculty of Electrical Engineering, Information Technology, and Physics. He previously held positions at Leibniz Universität Hannover where he completed his distinguished doctoral research. Professor Dietrich's research focuses on operating systems, distributed systems, and reliable systems with particular expertise in memory management, real-time systems, and embedded systems. His work spans both theoretical foundations and practical implementations, with significant contributions to system software reliability and efficiency. His research interests include operating system design, memory management techniques, real-time computing, embedded systems, fault tolerance, and compiler optimizations for system software. Dietrich's recent publications demonstrate a strong focus on memory management innovations (particularly for persistent memory), virtualization techniques, and reliability mechanisms for distributed systems. His work frequently bridges the gap between theoretical computer science and practical system implementation, with many contributions finding their way into production systems. The research shows increasing emphasis on hardware-software co-design and adapting operating systems to modern hardware capabilities. His scientific achievements have been recognized with numerous prestigious awards: USENIX ATC Distinguished Artifact Award (2023) for LLFree USENIX ATC Best Paper Award (2017) for cHash RTAS Best Paper Award (2015) for dOSEK Multiple Outstanding Paper Awards at ECRTS, OSPERT, and ISORC Wissenschaftspreis Hannover (2020, awarded in 2024) Professor Dietrich has secured significant research funding including multiple DFG projects (DI 2840/1-1, DI 2840/2-1) and has been involved in collaborative projects with industry partners. His teaching portfolio includes advanced courses on operating systems, programming languages, and compilers, for which he received teaching excellence awards. He leads an active research group focused on reliable system software with ongoing projects including ParPerOS (Parallel Persistency OS) and ATLAS (Adaptable Thread-Level Address Spaces). The Reliable System Software group maintains strong connections with both academic and industrial partners, contributing to open-source projects and collaborating on cutting-edge research in system software reliability. The group's work has practical impact, with some findings leading to more than 100 accepted patches in the Linux mainline kernel.

Shawn Ostermannمشاهده پروفایل

دانشیار

• Network Communication
• Cyber Security
• Computer Network Performance Analysis
• +۳ مورد دیگر

Shawn Ostermann is an Associate Professor in the Department of Electrical Engineering and Computer Science at the Russ College of Engineering and Technology, Ohio University. His research focuses on network communication in challenging environments, cybersecurity, and computer network performance analysis. He holds a Ph.D., M.S., and B.S. in Computer Science from Purdue University. Education: Ph.D., Computer Science, Purdue University, 1993 M.S., Computer Science, Purdue University, 1987 B.S., Computer Science, Purdue University, 1985 Research Interests: His work explores resilient communication systems for extreme environments (e.g., space, disaster zones), cybersecurity mechanisms for detecting network intrusions, and optimizing protocols for satellite and lunar networks. He has contributed to protocols like DTN Bundle and LTP, and systems like INBOUNDS for network anomaly detection. Publications Trends: Recent work emphasizes lunar communication models (e.g., LUNAR LTE) and disruption-tolerant networking (DTN). Earlier research focused on TCP performance over satellite links, intrusion detection systems (e.g., SECURE-RM), and protocol standardization (RFCs). Grants & Projects: Developed INBOUNDS, a network detective service for anomaly detection Contributed to SECURE-RM for real-time system security Co-created tcptrace for network analysis Labs/Teams: Affiliated with the Ohio University Network Research Group, contributing to projects like the Ohio Network Emulator (ONE) and tcptrace tool development.

Gregor Betzمشاهده پروفایل

استاد

• Philosophy of Science
• Computational Philosophy
• Argumentation Theory
• +۶ مورد دیگر

Gregor Betz is a Professor of Philosophy of Science at the Karlsruhe Institute of Technology (KIT), where he leads the Institute for Philosophy. His work spans the philosophy of science, computational philosophy, and argumentation theory with applications to climate science, economics, and AI ethics. He has developed formal theories of argumentative debate and computational models that enhance critical thinking teaching. Education : M.A. in Philosophy, Political Sciences, and Mathematics (2002), Dr. phil (Ph.D.) in Philosophy (2004), Dr. habil. in Philosophy (2008) – all from Freie Universität Berlin His research focuses on the limits of scientific prediction (particularly in economics and climate science), the role of values in science, democratic scientific policy advice, and the ethics of climate engineering. Recently, he has pioneered computational philosophy projects using large language models since 2019. Gregor Betz’s publications and projects (like Argunet , Argdown , and the 2020 textbook Argumentationsanalyse ) have significantly impacted argumentation visualization and analysis. In 2023, he founded Logikon AI , a startup applying critical thinking methods to generative AI. His work on NLP and AI includes the first empirical studies of LLM argumentation skills, multi-agent debate simulations, and fallacy detection frameworks. Notably, his 2021 paper on Chain of Thought reasoning preceded similar approaches in GPT-3 by Wei et al.

Cherie Sampsonمشاهده پروفایل

استاد

• Interdisciplinary Art
• Environmental Performance
• Video Art
• +۵ مورد دیگر

Cherie Sampson is a Professor at the School of Visual Studies within the University of Missouri. With over 30 years of experience as an interdisciplinary artist, she merges environmental performance, installation, video art, and dance to explore themes of nature, temporality, and human vulnerability. Her recent work focuses on hereditary breast cancer narratives through the "every.single.one" performance project. MFA in Intermedia & Video Art, University of Iowa (1997) BFA, Maharishi International University (1986) Sampson's research spans: Art-science intersections in integrative oncology Slow movement vocabulary in boreal landscapes Cultural reinterpretation of classical Indian dance Video art exploring genetic risk and healing Site-specific installations in international locations Her 2018-2024 works reflect cancer advocacy and environmental consciousness, combining personal experience with universal themes. Key trends include: Use of arctic and boreal environments as metaphor Integration of traditional dance with experimental forms Documentation of healing processes through art Collaboration with composers and cultural institutions Scientific & Artistic Honors: Puffin Foundation Grant Two Fulbright Fellowships Finnish Cultural Foundation Grant Arts & Humanities Research Fellowship (2022-24) Jane Chambers Award Finalist (2023) As a patient advocate, Sampson collaborates with organizations like the Society for Integrative Oncology , FACING OUR RISK EMPOWERED (FORCE) , and the Congressionally Directed Medical Research Program . Her works have been permanently collected by Pori Art Museum and featured at international festivals including Currents New Media and Movies by Movers. Current projects include the February 2025 debut of "every.single.one" at Columbia Entertainment Company Theater, with post-show discussions involving medical researchers and cancer survivors.

Raffi Khatchadourianمشاهده پروفایل

دانشیار

• Software Engineering
• Programming Languages
• Machine Learning Systems
• +۳ مورد دیگر

Raffi Khatchadourian is an Associate Professor in the Department of Computer Science at Hunter College, part of the City University of New York (CUNY). He specializes in Software Engineering, Programming Languages, and Machine Learning Systems. His research focuses on automated software evolution, secure software engineering, and refactoring techniques, with notable contributions to tools like Hybridize Functions and μAkka. He holds a PhD in Computer Science from Ohio State University, along with MS and BS degrees in Computer Science from Ohio State and Monmouth University, respectively. His educational background includes advanced training in Computer Science, with a focus on theoretical and practical aspects of software systems. His research interests span automated refactoring, program analysis, and the integration of machine learning with traditional software engineering practices. Key projects include frameworks for assessing safety in deep learning systems (ReLESS) and mutation testing for actor concurrency in Akka (μAkka). Khatchadourian’s work emphasizes tool development and open-source contributions, such as the Common-Eclipse-Refactoring-Framework and Hybridize-Functions-Refactoring. He has secured grants from the National Science Foundation (NSF) for combating technical debt in machine learning systems and improving imperative-to-graph execution migration. His teaching spans graduate courses on programming languages and software engineering, reflecting his commitment to advancing computational education. His lab, Ponder Lab, focuses on empirical studies and tool creation for software evolution and concurrency. Notable grants include SHF-funded projects addressing practical analyses and safe transformations in deep learning programs. His research has addressed challenges in migrating deep learning code to graph execution, optimizing Java 8 streams, and analyzing legacy software refactoring.

Josée Tasséمشاهده پروفایل

دانشیار

• Software Engineering
• Mining Software Repositories
• Data Analytics
• +۳ مورد دیگر

Josée Tassé is an Associate Professor in the Department of Computer Science at the University of New Brunswick. She holds a BSc in Computer Science from Université de Montréal (1992) and a PhD from McGill University (1999). Her research focuses on software engineering, particularly mining software repositories, data analytics applied to software development, software metrics analysis, and process modeling. She has supervised multiple graduate students including Amandeep (MCS), Jing Chen (MCS), Wanxiang Zhang (MCS), and James Stewart (PhD). Her publications demonstrate consistent focus on software process optimization, defect prediction, and policy-driven development. The 15 most recent publications showcase her research progression from process modeling (1996-2001) to policy-guided software evolution (2003-2010) and contemporary work in software metrics and defect prediction (2013-2015).

• Computer Science Education
• Educational Technology
• Quantum Computing
• +۳ مورد دیگر

Anthony Estey is an Assistant Teaching Professor and Acting Experiential Learning Coordinator in the Department of Computer Science at the University of Victoria. His work focuses on innovative educational technologies, quantum computing pedagogy, and studio-based learning models in game design. He holds roles in both the Faculty of Engineering and Computer Science and coordinates experiential learning initiatives. Research interests include developing interactive tools to lower learning barriers in quantum computing (e.g., QNotation/QGrover), applying extended reality for immersive education, and analyzing student behavior through programming workflows. His publications span educational technology, game design pedagogy, and interdisciplinary collaboration strategies. Recent work emphasizes real-time systems for motion capture in performances and predictive analytics for student support. Though no scientific awards are listed, his contributions to educational tool development are highlighted through publications in 2024-2010. He coordinates experiential learning programs but no grants or specific lab affiliations are noted in available data.

Hadjiefthymiades Stathesمشاهده پروفایل

استاد

• IoT Security
• Cloud Computing
• Machine Learning
• +۷ مورد دیگر

Hadjiefthymiades Stathes is a Professor at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. His primary research division focuses on Computer Systems and Applications. He specializes in IoT security, cloud computing, machine learning, and edge computing, with notable contributions to data analytics, trust management, and cybersecurity in distributed systems. Research Interests: His work spans IoT security protocols, optimization of cloud storage systems, anomaly detection in Kubernetes environments, and predictive analytics for sensor networks. He has explored trust models in pervasive computing, energy-efficient node authentication, and hardware-accelerated mixed reality interfaces. His recent projects include frameworks for Earth observation data accessibility and next-generation internet experimentation platforms. Publications: His recent articles highlight advancements in IoT data reduction techniques, trust sustainability in infrastructure, and the application of Markov chains for multivariate event correlation. He has also contributed to the design of experiment description languages for mobile IoT and emergency response platforms for radiological incidents. Awards & Grants: No scientific awards or grants were explicitly mentioned in the provided texts. Labs & Teams: His research involves collaborations on projects like EO4EU-AI (Earth observation with extended reality interfaces) and TRACE (logistics integration systems). He is affiliated with the university's advanced systems research groups focusing on edge computing and secure IoT ecosystems.

Christopher Jungمشاهده پروفایل

دانشیار

• Sleep Physiology
• Circadian Rhythms
• Energy Expenditure
• +۲ مورد دیگر

Dr. Christopher Jung is an Associate Professor in the Department of Biological Sciences at the University of Alaska. He holds a Ph.D. in Integrative Physiology and Neuroscience from the University of Colorado, Boulder (2009), where he also earned his M.S. in Integrative Physiology (2007) and B.A. in Kinesiology and Applied Physiology (2003). His research focuses on the physiology of sleep and circadian rhythms, examining how these processes interact to affect metabolism, endocrine function, and cognitive performance. Key areas include developing countermeasures for sleep disorders (e.g., sleep apnea), mitigating effects of sleep deprivation, and studying high-altitude impacts on physiology. Dr. Jung's publications demonstrate consistent focus on neuroendocrine regulation, cognitive performance under sleep deprivation, and metabolic changes during sleep. His work bridges experimental physiology with clinical applications for public health. Scientific Awards: Young Investigator Basic Research Award (2008) Abstract Excellence Award (2008) Sleep Deprivation Section Award (2008)

Longfei Shangguanمشاهده پروفایل

استادیار

• Mobile and wireless systems
• IoT systems
• Edge computing
• +۵ مورد دیگر

Longfei Shangguan is an Assistant Professor in the Department of Computer Science at the University of Pittsburgh's School of Computing and Information. He leads the Pittsburgh Experimental Research Group (PERG), focusing on hardware/software systems to advance computing, sensing, and communication in sensor/wireless technologies. Previously, he was a postdoc at Princeton and a senior researcher at Microsoft. He holds a PhD from HKUST (2015) under Professors Yunhao Liu and Ke Yi. Research Interests: Mobile/wireless systems, IoT, edge computing, and hardware/software co-design for sensor networks. Key areas include novel IoT applications, low-power hardware, and wireless protocol optimization. Key Projects Sensor-in-the-loop AI agents leveraging multimodal sensors Human-centric sensing using acoustic/vision modalities Wireless Digital Twin via neural ray tracing Professional Contributions Editor: IEEE Pervasive Computing, ACM GetMobile PC Member for top conferences including MobiCom, NSDI, SenSys Organized Dagstuhl Seminar on IoT Wireless Scenarios Awards NSF CAREER Award (2024) Google Research Scholar Award (2023) Best Paper Awards at MobiCom 2024 and MobiCom 2021 Advising & Grants Supervises 5 PhD students, 3 MS students, and undergraduate researchers Recipient of MassAITC Pilot Award (2025), NSF CAREER (2024) Labs/Teams: PERG lab focuses on experimental systems research with hands-on prototyping.

Rebecca Allenمشاهده پروفایل

استاد پژوهشی

• Virtual Reality
• Neuroscience
• Artificial Intelligence
• +۶ مورد دیگر

Rebecca Allen is a Research Professor at UCLA's Department of Design Media Arts, part of the School of the Arts and Architecture. She is a pioneering artist and researcher in digital media, exploring intersections between art, technology, and neuroscience. Her work spans five decades, blending virtual reality, AI, and interactive systems to interrogate human identity and perception. Education: B.F.A. from Rhode Island School of Design, further studies at MIT. Research interests include virtual reality aesthetics, artificial life systems, and the philosophical implications of digital environments. Notable collaborations include projects with Kraftwerk, MIT Media Lab, and neuroscience labs at UCLA/UCSF. Her work is in permanent collections at institutions like the Whitney Museum and Centre Georges Pompidou. Awards include an Emmy Award and recognition in Fast Company's 'Most Creative People.' Her research roles include founding directorships at Nokia Research Center Hollywood and OLPC's XO Laptop design team. Labs/Initiatives: Emergence research group (UCLA), Intel-funded projects, and collaborations with Counterforce Lab and UCLA Game Lab.

Eyal Neumanمشاهده پروفایل

دانشیار

• Mathematical Finance
• Stochastic Processes
• Probability Theory
• +۳ مورد دیگر

Eyal Neuman is an Associate Professor in the Department of Mathematics at Imperial College London, where he also serves as co-director of the MSc in Mathematics and Finance program. His research focuses on probability theory, stochastic processes, and their applications in mathematical finance and interacting particle systems. He has held prior research positions at the University of Rochester and Hong Kong University of Science and Technology. His academic service includes editorial roles for Mathematical Finance journal and organizing numerous conferences, including the 12th Bachelier World Congress minisymposium on Market Microstructure and the ETH-Hong Kong-Imperial Mathematical Finance Workshop. He has supervised multiple PhD students and mentored postdoctoral researchers such as Wolfgang Stockinger and Yonatan Shadmi. Neuman's work spans theoretical advancements in stochastic analysis and practical applications in quantitative finance, including optimal trading strategies, market microstructure analysis, and systemic risk modeling. His research often bridges abstract mathematical frameworks with real-world financial systems.