جست‌وجوی استاد و پژوهشگر

Bradley Denbyمشاهده پروفایل

استادیار

• Cyber-physical systems
• Computational nanosatellite constellations
• Machine learning for autonomy
• +۳ مورد دیگر

Bradley Denby is an Assistant Professor in the Department of Aerospace & Ocean Engineering at Virginia Tech, holding the Marty and Anna Irvine AOE Faculty Fellow position. He specializes in cyber-physical systems, computational nanosatellite constellations, and machine learning for autonomy, with a focus on orbital edge computing. Denby leads the Starbelt Lab, focusing on advanced air mobility and satellite systems research. Education: PhD in Electrical and Computer Engineering, Carnegie Mellon University (20XX) MS in Computer Engineering, Air Force Institute of Technology (AFIT) BS in Physics, Southern Illinois University Research Interests: Denby’s work bridges computer science and aerospace engineering, addressing challenges in computational satellite systems, edge computing in space, and autonomous decision-making. His projects include batteryless satellites (Tartan Artibeus) and high-coverage nanosatellite constellations (EagleEye). He explores orbital edge computing frameworks to enable real-time data processing directly on satellites. Recent Research Trends: His publications emphasize scalable nanosatellite constellations, overcoming computational bottlenecks in space, and integrating machine learning for on-orbit inference. Themes include energy-efficient systems, inter-satellite communication, and mission-critical autonomy. Awards: Marty and Anna Irvine AOE Faculty Fellow (Virginia Tech) Teaching & Labs: Instructs courses on space engineering, satellite design, and advanced air mobility. Runs the Starbelt Lab (website/GitHub linked).

Shan Luمشاهده پروفایل

استاد

• Computer Systems
• Software Reliability
• Program Analysis
• +۳ مورد دیگر

Shan Lu is a Professor in the Department of Computer Science at the University of Chicago. He is affiliated with the UChicago Systems Group and holds a faculty position at the Crerar Library. His research focuses on software systems, reliability, and program analysis, with an emphasis on improving software correctness and efficiency through automated tools and methodologies. Lu earned his Ph.D. from the University of Illinois, Urbana-Champaign in 2008, under the guidance of Yuanyuan Zhou. His work spans multiple areas, including concurrency bug detection, performance optimization, and machine learning integration in software systems. His research interests include developing automated tools for detecting and fixing software bugs, optimizing database-backed web applications, and enhancing the reliability of distributed systems. Recent work highlights include innovations in large language model serving, retry bug detection, and hybrid data plane optimizations. Lu has been recognized with prestigious awards, including the SOSP Best Paper Award (2019), OSDI Best Paper Award (2022), and ACM Distinguished Member status. He actively contributes to program committees, including roles such as Vice Chair of the ACM Publications Board and Chair of ACM SIGOPS. His advising spans over 20 students, many of whom have secured notable positions at top institutions and companies like Google, Facebook, and LinkedIn. Lu’s research has also led to impactful tools like SkyWay, Yak, and DCatch, addressing critical challenges in software systems.

• Compilers
• Parallel Computing
• Automatic Differentiation
• +۳ مورد دیگر

Billy Moses is an Assistant Professor in the Department of Computer Science at the University of Illinois Urbana-Champaign (UIUC), with affiliate roles in Electrical and Computer Engineering (courtesy) and the Coordinated Science Library. He holds a PhD and dual S.B. degrees in Electrical Engineering and Computer Science from MIT (2023, 2017), as well as an S.B. in Physics from MIT (2017). His research focuses on compilers, parallel computing, and compiler-driven optimization techniques for high-performance systems. Moses has pioneered work on the Tapir framework for fork-join parallelism, the MLIR compiler infrastructure, and Enzyme for automatic differentiation. Moses' research spans compiler design, GPU acceleration, and AI-driven compiler optimization. Notable contributions include the Polygeist compiler for C-to-MLIR transformation, the Autophase reinforcement learning system for HLS phase ordering, and the Enzyme framework for GPU kernel differentiation. His work emphasizes practical compiler solutions for parallelism, performance portability, and end-to-end code generation in domains like deep learning and scientific computing. Awards: 2024 SIGHPC Doctoral Dissertation Award Courses Taught: CS 598 APE (Advanced Performance Engineering) His recent projects include compiler-based approaches to GPU-to-CPU transpilation, performance portability in heterogeneous systems, and AI-driven compiler decision-making. Moses collaborates with industry and academic partners on advancing compiler technologies for exascale computing and machine learning acceleration.

Jennifer Wong-Maمشاهده پروفایل

استاد آموزشی

• Computer Science Education
• Undergraduate Education Tools
• Wireless and Distributed Embedded Systems
• +۳ مورد دیگر

Jennifer Wong-Ma is an Associate Teaching Professor at the University of California, Irvine (UCI), affiliated with the Donald Bren School of Information and Computer Sciences and the Computer Science Department. She joined UCI in 2018, previously serving as teaching faculty at Stony Brook University. Her roles include Vice Chair of Undergraduate Studies and advisor for organizations like Women in Information and Computer Sciences (WICS). She holds a Ph.D. in Computer Science from UCLA, with prior research focused on wireless systems and hardware IP protection. Education: Ph.D., Computer Science, University of California, Los Angeles, 2006 Research & Teaching Interests: Development of learning and teaching tools for CS education Alternative assessment strategies and pedagogical innovation CS education equity and retention initiatives Integration of theater techniques in classroom engagement Key Contributions: Co-founded the Coffee Meets Teaching program to foster faculty collaboration Member of UCI’s inaugural Faculty Academy for Teaching Excellence (FATE) Advocate for women in technology through WIT@UCI and WICS mentorship Awards: CS Department Award for Undergraduate Education (2012) CS Department Award for Major Contributions to Undergraduate Education (2016) Honored at 2023 ICS Awards Celebration Her work emphasizes community-building in education, bridging academia and industry, and leveraging technology to enhance student success. Current projects include optimizing grading infrastructure and predictive modeling for academic retention.

Paria Shiraniمشاهده پروفایل

استادیار

• Cybersecurity
• IoT Security
• Vulnerability Research
• +۴ مورد دیگر

Paria Shirani is an Assistant Professor and Tier 2 Canada Research Chair in Cybersecurity at the School of Electrical Engineering and Computer Science (EECS), University of Ottawa. She holds a PhD in Information Systems Engineering from Concordia University (FRQNT Doctoral Scholarship recipient) and completed an NSERC Postdoctoral Fellowship at Carnegie Mellon University (CMU). Her research focuses on cybersecurity, including IoT security, vulnerability detection, malware analysis, threat intelligence, and AI/ML applications. She leads funded projects across undergraduate, master’s, PhD, and postdoctoral levels, emphasizing equity, diversity, and inclusion (EDI). Research Highlights: Develops AI-driven solutions for IoT security and vulnerability detection. Pioneers binary code fingerprinting and firmware analysis techniques. Advances threat intelligence through machine learning and anomaly detection. Key awards include the NSERC Postdoctoral Fellowship, FRQNT Doctoral Scholarship, and the Tier 2 Canada Research Chair. Collaborations involve institutions like Concordia University, Carnegie Mellon University, and IBM’s Cyber Range. She actively serves on editorial boards (e.g., ACM Computing Surveys) and organizes conferences (e.g., SecureComm, PST).

• 5G Technologies
• Unmanned Aerial Vehicles (UAVs)
• Internet of Things (IoT)
• +۶ مورد دیگر

Dr. Shahriar Al-Ahmed is a Lecturer and researcher at the University of the West of Scotland's School of Computing, Engineering and Physical Sciences. His work focuses on sustainable technological solutions leveraging 5G, UAVs, IoT, and AI. He teaches modules including Network Security Issues and Object-Oriented Programming, emphasizing accessible education. Research interests include UAV-based network optimization, AI-driven IoT applications in agriculture/healthcare/energy, and cybersecurity. He contributed to the 5GIR project and developed prototypes like a Pycom-based remote monitoring system. His PhD research was funded by UWS. He supervises PhD students exploring 5G, UAVs in wireless networks, and IoT-AI applications. Current projects address smart cities, precision farming, and energy efficiency. He advocates for UN SDGs through tech innovation, particularly in agriculture and environmental monitoring.

Timothy Drysdaleمشاهده پروفایل

استاد

• Remote Laboratories
• Engineering Education
• Electromagnetics
• +۲ مورد دیگر

Timothy Drysdale is Professor and Chair in Technology Enhanced Science Education at the University of Edinburgh, where he directs the Remote Laboratories group and serves as Director of Strategic Digital Education. His practable.io platform revolutionizes laboratory education through aesthetically-designed remote experiments installed in campus foyers, saving physical space while enhancing accessibility. Research develops novel remote labs based on experiments likened to "science museum exhibits," integrating real-time equipment access via web interfaces. Additional work explores orbital angular momentum in radio communications. His £3M openEngineering Laboratory project received multiple honors including the Queen's Anniversary Prize and THE Digital Innovation Award. Global Online Laboratories Consortium Award (2024, 2018) Queen's Anniversary Prize (2024) Jisc Digital Transformation Award (2023) Guardian Teaching Excellence Award (2018) Teaches across undergraduate engineering programs and supervises doctoral projects in digital education innovation. Advocates for assessment transformation and generative AI integration in education.

• Computer Architecture
• Embedded Systems
• High-Performance Computing
• +۹ مورد دیگر

Zapater Sancho Marina is an Associate Professor at the ReDS Institute (Institute of Reconfigurable and Embedded Digital Systems) within the School of Engineering and Management Vaud (HEIG-VD), part of the University of Applied Sciences and Arts Western Switzerland (HES-SO). She holds dual master's degrees in Electronic and Telecommunication Engineering from Universitat Politècnica de Catalunya (2010) and a PhD in Computer Science from Universidad Politécnica de Madrid (2015). Her career includes postdoctoral work at EPFL (2016-2020) and assistant professorship at Universidad Complutense de Madrid (2015-2016). Education BSc & MSc in Electronic Engineering (UPC 2010) PhD in Computer Science (UPM 2015) Research Focus spans cross-layer optimization of heterogeneous architectures for performance and energy efficiency, with emphasis on: Embedded systems (IoT/edge computing) High-performance compute architectures Analog in-memory computing for AI Thermal/power management in 3D chips Cloud-edge AI workload orchestration Publication Trends show expertise in RISC-V simulation frameworks, analog computing tiles for CNNs, virtual memory redesign, and AI-driven cloud performance prediction. Her recent work explores thermal-aware 3D chip management, hybrid-cache reliability optimization, and open-source teaching platforms for radio theory. Awards include a Spanish government PhD fellowship. She has led 4 European H2020 projects since 2016 and currently serves as PI for 4 industrial collaborations (Facebook/Intel/Huawei), Innosuisse projects, and HES-SO initiatives. Labs & Teams include the ReDS Institute, EPFL's Embedded Systems Laboratory, and collaborations with Yale/Edinburgh. She co-developed the ALPINE simulation framework and SO3 operating system modifications for Midgard project validation.

Uwe Roehmمشاهده پروفایل

دانشیار

• Distributed Data Management on Modern Hardware
• Integrated Machine Learning with Databases
• Interactive Big Data Analytics
• +۵ مورد دیگر

Associate Professor Uwe Roehm is a faculty member at the University of Sydney's School of Computer Science, specializing in database systems and big data analytics. He holds a PhD from ETH Zurich and joined the University of Sydney in 2004. His research focuses on distributed data management, integrating machine learning with databases, and scalable data processing for bioinformatics. Education: PhD in Computer Science, ETH Zurich (2002) Diplom-Informatics (MSc equivalent), University of Passau Research Interests: Database Systems and Transaction Processing Human-Centred Data Management Freshness-Aware Scheduling (FAS) Big Data Analytics and Cloud Computing Key Projects and Contributions: Developed Serialisable Snapshot Isolation (SSI), implemented in PostgreSQL Created the Master of Data Science program at the University of Sydney Recipient of the 2018 ACM SIGMOD Test of Time Award Awards: 2018 ACM SIGMOD Test of Time Award 2013 Dean's Award for Outstanding Teaching 2008 ACM SIGMOD Best Paper Award Teaching and Grants: Teaches courses on database systems, data science platforms, and cloud computing Principal Investigator on ARC-funded projects, including Linkage and Discovery grants Labs and Teams: Leads the Database Research Group and contributes to the Human-Centred Technology Research Cluster at the University of Sydney.

Armando Walter Colomboمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Industrial Digitalization
• Industry 4.0
• +۳ مورد دیگر

Prof. Dr. Armando Walter Colombo is a Professor at the Department of Technology, Electrical Engineering and Informatics at the University of Applied Sciences Emden/Leer. He leads the Institute I2AR as Scientific Director and coordinates the DAAD/DAHZ Binational Master in Industrial Informatics with the Universidad Tecnológica Nacional-FRRe in Argentina. His research focuses on Cyber-Physical Systems (CPS), Industrial Digitalization, Industry 4.0, and Smart Manufacturing. Key areas include asset administration shells, IoT integration, and sustainable industrial automation. He holds IEEE Fellow status and is a Distinguished Lecturer for the IEEE Systems Council. He has pioneered educational frameworks like T-CHAT and contributed to standards alignment (RAMI4.0, IEEE Industrial Agents). Recent publications emphasize Industry 4.0 compliance, digital twins, and AI in logistics. Responsibilities: DAAD Master Coordinator, Institute I2AR Director, and International Relations Officer. Awards: IEEE Fellow, Distinguished Lecturer (IEEE Systems Council). Grants & Partnerships: DAAD-funded binational programs, EU-funded PERFoRM projects. His work bridges academia and industry through platforms like the ICPS-based Digital Factory Lab, addressing SME digitalization and sustainable automation.

• Computer and Network Security
• Computer Networking
• Network Modeling and Performance Evaluation
• +۴ مورد دیگر

Cliff C. Zou is a Professor at the Department of Computer Science, University of Central Florida (UCF), and Program Coordinator for Master's degrees in Digital Forensics and Cyber Security and Privacy. He serves as a UCF Cybersecurity and Privacy Cluster member, Point-of-Contact for UCF CAE-CD/CAE-R designations, and leads the Data Systems Group. With a Ph.D. from University of Massachusetts, Amherst (2005), and B.S./M.S. from USTC, he has received numerous awards including the UCF-TIP Award (2013, 2024), Best Paper Awards, and Fellowships. Ph.D., Electrical & Computer Engineering, University of Massachusetts, Amherst (2005) M.S., Automation, University of Science & Technology of China (USTC) (1999) B.S., Automation, USTC (1996) His research spans Computer and Network Security , IoT Security , Blockchain Systems , Wireless Network Security , and Malware Analysis . Recent work focuses on adversarial machine learning, side-channel attacks, encrypted traffic classification, and secure IoT architectures. His publications (2025-2020) highlight trends in deep learning-based defense , WiFi fingerprinting , TrustZone security , and malware propagation . Scientific Awards: UCF Teaching Incentive Program (TIP) Award (2024, 2013) Best Paper Award (2023) Best Student Paper Award (ACSAC 2007) Guo Moruo Scholarship (USTC, 1996) Graduate Fellowships (University of Massachusetts, 1999-2001) Prof. Zou has advised 14 PhD graduates and numerous Master's/BS students, many now holding academic/industry roles. His funded projects include NSF grants (DGE-2325452, DGE-2042996, DGE-1723587, DGE-1915780), US Army PEO STRI collaborations, and Florida Center for Cybersecurity seed grants. He leads the cyberforensic.net educational platform and has contributed to free IoT security labs for professionals.

• Software Engineering
• Industry 4.0/IIoT Platforms
• Model-Based Software Development
• +۷ مورد دیگر

Dr. Holger Eichelberger is part of the Academic Staff in the Software Systems Engineering (SSE) department at the University of Hildesheim's Institute of Computer Science. He is affiliated with Faculty 4: Mathematics, Natural Sciences, Economics and Computer Science. His roles include membership in the Managing Committee of the Institute of Computer Science and the Committee for Student Scholarships. He has extensive experience in model-based software development, Industry 4.0 platforms, and performance engineering. Research Interests: Software Engineering for adaptive systems, Asset Administration Shells (AAS), IIoT platforms, MLOps, container orchestration, and open-source tools like EASy-Producer and SPASS-meter. His work focuses on bridging research and industrial needs, particularly in smart manufacturing and edge computing. Publications highlight contributions to IIoT platform analysis, AI integration in Industry 4.0, and performance benchmarking of communication protocols. He has organized conferences like ICPE and SSP and reviewed for top journals such as IEEE Transactions on Software Engineering. Key projects include the IIP-Ecosphere platform and contributions to standards like AAS. Collaborations involve institutions like the University of the West Indies and industry partners through funded projects like BMBF AI-Lab HAISEM. His research emphasizes reproducibility, interoperability, and scalable solutions for industrial challenges.

Mona Hellaمشاهده پروفایل

استاد

• Integrated Circuits Design
• High Frequency Systems
• Power Management
• +۴ مورد دیگر

Professor Mona Hella was a Full Professor in the Department of Electrical, Computer, and Systems Engineering (ECSE) at Rensselaer Polytechnic Institute (RPI), part of the School of Engineering. Her roles included leading RPI’s Chips Initiative and collaborations with industries such as Qorvo Inc. and GlobalFoundries. She held a PhD in Electrical Engineering from Ohio State University (2001) and joined RPI in 2004 after industry work in RF design. Notable recognitions include a Fulbright Scholarship (2015) and IEEE Senior Member status (2016). Her research focused on integrated circuits (IC) design, high-frequency systems (RF/mm-Wave/THz), power management, and biomedical applications. Collaborations spanned departments like Mechanical Engineering and Biomedical Engineering, leveraging clean rooms at RPI, Cornell, and MIT Lincoln Labs. She pioneered IC design education, establishing ECSE’s analog and RF curricula and leading the ECSE Maker Space and Mercer Lab. Research outputs included over 150 peer-reviewed publications, 5 patents, and industry partnerships with Analog Devices and Efabless. Her work emphasized THz gas sensing, silicon photonics, and energy-efficient circuits. A commemorative event highlighted her legacy as a mentor to 14 PhD, 8 master’s students, and many undergraduates, many of whom now lead roles in semiconductor and tech industries. Awards : Fulbright Scholar (2015), IEEE Senior Member (2016) Labs/Teams : ECSE Maker Space, Mercer Lab, Collaborations with MIT, Cornell, and international foundries Grants/Contracts : Supported by GlobalFoundries, TSMC, Fraunhofer Institute, and others

Asieh Salehi Fathabadiمشاهده پروفایل

مدرس

• Formal Methods
• Autonomous Systems
• Responsible AI (Socio-technical)
• +۳ مورد دیگر

Dr. Asieh Salehi Fathabadi is a Lecturer (Assistant Professor) in the Cyber-Physical Systems (CPS) group at the University of Southampton, UK. She specializes in formal methods for software engineering, with a focus on Event-B methodology for designing safe and secure systems. Her research addresses challenges in autonomous systems, responsible AI, and human-AI trust dynamics. She leads the Verifiably Safe and Trusted Human-AI Systems (VESTAS) and HANA-HAIP projects as Principal Investigator and contributes to initiatives like HD-Sec and HICLASS . Her work integrates formal verification into critical system development, emphasizing security and safety. Recent publications explore exception handling in secure hardware (CHERI), socio-technical trust frameworks for defense systems, and human intervention in self-driving vehicles. She supervises two PhD students in Computer Science and actively participates in the Rodin formal methods community. Dr. Salehi Fathabadi has over 13 years of research experience, applying formal methods to aerospace systems, embedded software, and cybersecurity. Her interdisciplinary approach bridges theoretical rigor with practical engineering solutions for modern complex systems.

• Augmented Reality
• User Experience
• Virtual Environments
• +۵ مورد دیگر

Frank Biocca is a Professor in the Department of Informatics at New Jersey Institute of Technology (NJIT). His research focuses on augmented reality, user experience, virtual environments, and human-computer interaction. He has led or co-led multiple federally funded projects, including studies on interactive deception analysis, wearable augmented reality interfaces, and the molecular mechanisms of RNA processing. Biocca’s work bridges technology design and psychological impacts, with applications in health communication, transportation, and media studies. He has authored over 100 publications and contributed to interdisciplinary collaborations across computer science, neuroscience, and social sciences. Key research projects include the NSF-funded 'Mobile Infospaces' initiative (2002-2006), exploring augmented reality interface design, and the ongoing 'POLYAMACHINES' project (2007-2022) investigating RNA polyadenylation mechanisms. His recent publications address algorithmic transparency in news systems, spatial presence in digital displays, and trust in mobility-as-a-service technologies. Biocca has advised numerous projects at NJIT, integrating cutting-edge technologies like spatial augmented reality and VR headsets. His contributions to HCI and media studies have been recognized through sustained academic engagement and collaborations with institutions worldwide. Current research trends emphasize ethical implications of AI-driven media and immersive technology’s role in health interventions.