جست‌وجوی استاد و پژوهشگر

Brandon M. Luciaمشاهده پروفایل

استاد

• Computer Architecture
• Computer Systems
• Programming Languages
• +۷ مورد دیگر

Brandon M. Lucia is the Kavčić-Moura Professor of Electrical and Computer Engineering at Carnegie Mellon University and CEO/co-founder of Efficient Computer Company. He leads the Abstract research group and focuses his work on the intersection of computer architecture, systems, and programming languages. Education: Ph.D. in Computer Science and Engineering, University of Washington (2013) — advised by Luis Ceze Research Focus: Brandon's research is broadly centered on intermittent computing , edge computing , and energy-efficient architectures . Two major thrusts define his current work: Intermittent Computing: Making battery-free, energy-harvesting devices programmable and reliable despite frequent power failures. Applications include medical implants, space systems, and large-scale sensing. Orbital Edge Computing: Designing nanosatellite constellations that perform on-orbit data processing, enabling low-latency, high-resolution sensing in space-constrained environments. Scientific Awards: NSF CAREER Award (2017) IEEE TCCA Young Computer Architect Award (2019) Sloan Foundation Fellowship (2021) ASPLOS 2020 Best Paper Award OOPSLA 2015 Distinguished Paper & Artifact Awards IEEE Micro Top Picks (2016, 2018 Honorable Mention) Advising & Grants: Brandon actively advises a strong cohort of Ph.D. students including Zhuo Cheng, Bradley Denby, Souradip Ghosh, Harsh Desai, Kiwan Maeng, Emily Ruppel, and others. His group is funded by the NSF (CAREER and SHF grants), the Sloan Foundation, and industry partnerships. Labs & Teams: He directs the Abstract research group at CMU ECE, which hosts interdisciplinary projects spanning hardware design, compiler construction, and system software for ultra-low-power and space-borne computing platforms.

Kristofer S.J. Pisterمشاهده پروفایل

استاد

• Micro/Nano Electro Mechanical Systems (MEMS)
• Control Systems
• Robotics
• +۶ مورد دیگر

Kristofer Pister is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He co-directs the Berkeley Sensor and Actuator Center (BSAC) and the Ubiquitous Swarm Lab. His career spans groundbreaking innovations in Micro/Nano Electro Mechanical Systems (MEMS), Control Systems, and Low-Power Circuits, with a focus on Smart Dust and synthetic insects. Education: Ph.D. and M.S. in EECS from UC Berkeley (1992, 1989); B.A. in Applied Physics from UC San Diego (1986). His research areas include MEMS , Control Systems , Robotics , and Integrated Circuits , with recent work on self-powered micro-sensors, crystal-free radios, and interplanetary swarm networks. Key awards include the ISA Albert F. Sperry Founder Award (2009) , Alexander Schwarzkopf Prize (2006) , and the NSF CAREER Award (1996) . He has authored numerous influential publications in wireless sensor networks and microrobotics. His lab, Ubiquitous Swarm Lab , explores distributed robotics and swarm intelligence. Pister emphasizes open collaboration in research, ethical conduct in academia, and efficient resource utilization for graduate students.

Brandon Luciaمشاهده پروفایل

استاد

• computer architecture
• computer systems
• programming languages
• +۸ مورد دیگر

Brandon Lucia is a Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University's College of Engineering. He holds the Kavčić-Moura Professorship and leads the Abstract research group. As CEO and co-founder of Efficient Computer Corp., he bridges academic research with commercial applications in energy-efficient computing. Dr. Lucia received his Ph.D. in Computer Science and Engineering from the University of Washington in 2013, following an MS from the same institution in 2010 and a BS in Computer Science from Tufts University in 2007. His research focuses on the intersection of computer architecture, computer systems, and programming languages, particularly in energy-constrained environments. His primary research interests include intermittent computing, energy harvesting computers, orbital edge computing, and parallel computing systems. Lucia's work addresses fundamental challenges in creating programmable, reliable computing devices that operate without batteries by harvesting energy from their environments, with applications in sensing, medical implants, and space systems. He also investigates software systems and architectures for making parallel computing correct, reliable, and efficient in the post-Moore's Law era. Lucia's publication record shows a clear trajectory toward orbital edge computing and nanosatellite systems, with recent work focusing on computational constellations, visual navigation for satellites, and energy-efficient processing in space. His research spans both theoretical foundations of intermittent computing and practical implementations in hardware and software. 2021 Sloan Research Fellowship 2018 NSF CAREER Award 2018 ASPLOS Best Paper Award IEEE MICRO Top Picks in Computer Architecture (2009, 2010, 2016) 2015 OOPSLA Best Paper Award 2019 IEEE TCCA Young Computer Architect Award 2022 Engineering Faculty Award As an advisor, Lucia has mentored numerous graduate students including Brad Denby, Zhuo Cheng, and Kyle McCleary, many of whom have become co-authors on his significant publications. His lab developed the world's first batteryless PocketQube nanosatellite (Tartan-Artibeus-1), which was deployed to low-Earth orbit aboard the SpaceX Transporter-3 Rocket. Lucia's research has received funding from sources including NSF, DARPA, Google, and VMware, supporting both fundamental research and practical implementations of energy-harvesting computing systems.

Rogério de Lemosمشاهده پروفایل

مدرس ارشد

• Resilient AI
• Self-adaptive software systems
• Authorisation infrastructures
• +۷ مورد دیگر

Rogério de Lemos is a Senior Lecturer in Computing Science and Director of Postgraduate Research (PGR) at the School of Computing, University of Kent. He previously served as an invited assistant professor at the University of Coimbra, Portugal, and as a Senior Research Associate at the Centre for Software Reliability (CSR) at the University of Newcastle upon Tyne, UK. Dr. de Lemos' research focuses on architecting resilient systems, particularly in resilient AI, self-adaptive software systems, and authorization infrastructures. He belongs to both the Programming Languages and Systems Group and the Cyber Security Group at the University of Kent. His specific research interests include: Software engineering for self-adaptive systems assurances and resilience evaluation Dynamic generation of processes Handling insider threats using self-adaptive authorization Architectural abstractions for fault tolerance Verification and validation of dependable software architectures Software development for safety-critical systems Dependability and bioinspired computing His publication trends show increasing emphasis on practical applications of self-adaptive systems in cyber security contexts, with recent work spanning network traffic analysis, cryptographic function detection, and cloud-edge security architectures. His research bridges theoretical foundations with practical implementations, particularly in cyber security and resilient systems architecture. Dr. de Lemos currently leads the "Collaborative and Confidential Information Sharing and Analysis for Cyber Protection" project funded by the European Union's Horizon 2020 Programme. His past projects include "ADAAS: Assuring Dependability in Architecture-based Adaptive Systems" and multiple collaborations with NCR on sensor fusion and fault tolerance. As Director of Postgraduate Research, he oversees the School of Computing's research degree programs and likely supervises PhD students in resilient systems and cyber security, though specific student names are not listed in the available information.

Xiaofan Yuمشاهده پروفایل

استادیار

• Embedded Systems
• Edge AI
• Neuromorphic Computing
• +۵ مورد دیگر

Xiaofan Yu is an Assistant Professor in the Department of Electrical Engineering at the University of California, Merced. He holds a Ph.D. (2025), M.S. (2020), and B.S. (2018) from the University of California, San Diego and Peking University, respectively. His research focuses on embedded systems , edge AI , and neuromorphic computing , with applications in IoT, federated learning, and hyperdimensional computing. ML&Systems Rising Star (2024) CPS Rising Star (2023) EECS Rising Star (2022) His work addresses on-device AI for real-world IoT deployments, reliability-driven sensor networks , and next-generation edge intelligence . Recent publications highlight advancements in federated learning (TIOT 2025), multimodal sensor interaction (IMWUT 2025), and noise-resilient sensor systems (Sensors 2024). Key subfields include hyperdimensional computing , asynchronous distributed training , and resource-efficient edge models . Dr. Yu actively mentors students across institutions and programs, including the Early Research Scholarship Program (UCSD) and ENLACE Summer Research Program. He has advised projects on smart elderly monitoring , LLM-based sensor reasoning , and hyperdimensional algorithm optimization . Collaborations span UCSD, TUM, and Stanford, with industry partnerships in IoT design automation (RelIoT simulator) and biomedical applications (bladder fullness restoration system).

Felix Xiaozhu Linمشاهده پروفایل

دانشیار

• Systems Software
• Operating Systems
• Computer Architecture
• +۴ مورد دیگر

Felix Xiaozhu Lin serves as Associate Professor and William Wulf Faculty Fellow in the Department of Computer Science at the University of Virginia's School of Engineering and Applied Science, where he directs the Computer Science Ph.D. Program and MCS/MS Program. Previously a tenured Associate Professor at Purdue University's School of Electrical and Computer Engineering, Lin joined UVA Engineering in August 2020 after completing his doctoral research at Rice University. His educational credentials include: Ph.D. in Computer Science, Rice University (2014) M.S. in Computer Science, Tsinghua University (2008) B.S. in Automation, Tsinghua University (2006) Lin's research centers on systems software at the intersection of operating systems, compilers, and computer architecture, with emphasis on accelerating and safeguarding software systems. His current projects target on-device large language models and speech processing for low-cost hardware ( Analysis of his recent publications reveals a strong trajectory in edge computing and efficient AI systems. His research demonstrates increasing focus on hardware-software co-design for autonomous devices, with significant contributions in video analytics for energy-constrained cameras, kernel virtualization for heterogeneous architectures, and stream processing frameworks leveraging emerging memory technologies. The work consistently addresses real-world constraints like power limitations and network intermittency while maintaining rigorous academic standards. His scientific recognition includes: National Science Foundation CAREER Award (2019) Google Faculty Research Award (2016) NSF CISE Research Initiation Initiative Award (2015) ACM ASPLOS Best Paper Award (2014) Lin leads the XSEL research group mentoring graduate and undergraduate students in systems software development. His educational initiatives include CS4414/CS6456, a modern operating systems course featuring Arm64 baremetal kernel development, multicore systems, trusted execution environments, and filesystem forensics. The course's experiential approach has received strong student feedback for its modern content and practical relevance. His group actively recruits for projects spanning on-device AI, hardware-accelerated speech processing, and next-generation OS development. Based in Charlottesville, Virginia, Lin's research benefits from UVA's proximity to Shenandoah National Park and collaborative opportunities within the university's vibrant computing ecosystem, including the 2024 LLM Workshop he co-organized with Professor Yangfeng Ji.

• Electrical and Computer Engineering laboratory curriculum
• Digital systems design
• CAD for VLSI
• +۴ مورد دیگر

Mark C. Johnson is a Senior Lecturer at the Elmore Family School of Electrical and Computer Engineering at Purdue University, West Lafayette. He serves as Director of Instructional Laboratories and Associate Director for Design - Semiconductor Degree Program , overseeing laboratory infrastructure, CAD software administration, and curriculum development for courses like ECE337, ECE437, and ECE364. Education: Ph.D. in Electrical Engineering (1998), Purdue University M.S. in Electrical Engineering (1991), Wichita State University B.S. in Electrical Engineering (1983), Purdue University - Calumet His research focuses on electrical and computer engineering laboratory curriculum innovation , digital systems design , and CAD for VLSI . Over 15 recent publications highlight his work in SoC prototyping , low-power circuit design , and educational technology , spanning projects like FPGA filter optimization, dual-core processor experiments, and active learning strategies. Leadership Roles: Proceedings Chair (2003), MSE Program Chair (2005), MSE General Chair (2007), MSE Steering Committee Member, MSE & European Workshop on Microelectronics Education Chair, ECE Instructional Innovation Group (2004-2012) Secretary/Webmaster, ASEE Illinois/Indiana Section (2002-2011) He directs the ECE437 Computer Architecture Prototyping Lab and System on Chip Extension Technologies (SoCET) team , and co-advises the STARS semiconductor readiness program. Outside academia, he is an organist at Faith Presbyterian Church and composes keyboard music.

• Embedded Systems
• Artificial Neural Networks
• Signal Processing
• +۳ مورد دیگر

Magdalena Szymczyk is a Lecturer in the Department of Biocybernetics and Biomedical Engineering at AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering. Her work bridges embedded systems, biomedical signal processing, and geophysical data analysis. Research focuses on energy-efficient sensor networks, neural networks for GPR data classification, and mathematical transforms in signal analysis Expertise in parallel computing, real-time systems, and biomedical engineering applications Her publications (2015–2025) demonstrate a trajectory from parallel neural networks and S-transform/GPR methodologies to recent work on MicroPython in embedded systems. Key themes include energy optimization in distributed architectures and AI-driven signal processing across biomedical and geophysical domains. She has authored works on deterministic chaos in simulations, GPU image processing, and cybersecurity in microcontroller systems. Her current research emphasizes embedded systems security, medical signal diagnostics, and computational methods for geological analysis. She utilizes tools like OpenCL for GPU acceleration and MATLAB for parallel computing implementations.

Tingkai Wangمشاهده پروفایل

مدرس ارشد

• Mobile Robots
• Intelligent Systems
• Artificial Intelligence (AI)
• +۵ مورد دیگر

Dr. Tingkai Wang is a Senior Lecturer in the School of Computing and Digital Media at London Metropolitan University. His research focuses on mobile robots, intelligent systems, artificial intelligence, control systems, image/signal processing, and virtual reality. He teaches the Programming for Computer Science module and has led projects like the Virtual Environment and Simulation System (2000-2002) and Navigation and Control of Mobile Robots (1995-1998). His work emphasizes interdisciplinary approaches, combining expert systems, neural networks, and fuzzy logic to address challenges in autonomous systems. Notable contributions include AGV navigation algorithms, hybrid control systems, and predictive modeling. Over 30 publications span robotics, control engineering, and AI applications. He collaborates internationally and has presented at venues like the International Conference on Intelligent Systems Engineering and the IEEE Conference on Engineering in Medicine and Biology. Dr. Wang’s expertise bridges theoretical modeling and practical implementation, with applications in manufacturing automation, environmental monitoring, and industrial management systems. His current research continues exploring adaptive control mechanisms and AI-driven robotics solutions.

• Embedded Systems
• Hardware-Software Co-Design
• Invasive Computing
• +۷ مورد دیگر

Prof. Dr.-Ing. Jürgen Teich is a full Professor and Chair for Hardware-Software Co-Design at the Department of Computer Science, Friedrich Alexander University Erlangen-Nuremberg (FAU). He serves as Head of Department Computer Science and Vice Dean of the Technical Faculty since August 2024, and has been Speaker of the FAU Research Center Embedded System Initiative (FAU ESI) since 2023. His educational background includes: Diploma degree in Electrical Engineering, University of Kaiserslautern (1989) Dr.-Ing. degree in Electrical Engineering, University of Saarland (1993) Habilitation (PD Dr.-Ing.) entitled "Synthesis and Optimization of Digital Hardware/Software Systems" (1996) Prof. Teich's research focuses on Embedded Systems , Invasive Computing , Hardware-Software Co-Design , and Reconfigurable Computing . His work spans from theoretical foundations to practical implementations, with particular emphasis on resource-constrained systems, many-core architectures, and energy-efficient computing. He has pioneered research in invasive computing paradigms that enable more efficient use of many-core processors by allowing applications to dynamically claim resources. His recent publications reveal a strong trend toward energy-efficient AI deployment on embedded devices , security of embedded systems , and novel memory technologies . There's a clear focus on practical implementations of machine learning on microcontrollers (TinyML), hardware acceleration for data processing, and innovative approaches to power management in self-powered systems. Among his notable scientific awards are: IEEE Fellow (since 2018) Member of Academia Europaea, Section Informatics (since 2011) Member of the National Academy of Science and Engineering (acatech) (since 2018) Member of the German Society of Humboldtians (since 2021) Prof. Teich has been Principal Investigator for numerous DFG-funded projects including SFB/Transregio 89 "Invasive Computing" (2010-2022), SFB 694, and multiple priority programs. He has coordinated large collaborative research efforts across Germany and internationally, with significant funding from DFG and other sources. His research group has produced influential work in embedded systems design and co-design methodologies. He leads the Hardware-Software Co-Design research group at FAU, which focuses on innovative approaches to embedded system design, invasive computing architectures, and efficient implementation of machine learning on resource-constrained devices. The group maintains strong collaborations with industry partners including Intel, Xilinx, and automotive companies.

Alexander Deanمشاهده پروفایل

دانشیار

• Computer Architecture
• Embedded Systems
• Compiler Technology
• +۵ مورد دیگر

Alexander Dean is an Associate Professor in the Department of Electrical and Computer Engineering at North Carolina State University. His research focuses on embedded systems, leveraging compiler technology, computer architecture, and real-time systems to enhance concurrency and energy efficiency in cost-effective hardware. He has held industrial experience at United Technologies Research Center, working on embedded systems for aerospace, automotive, and building systems. Dr. Dean holds a Ph.D. (2000), M.S. (1993), and B.S. (1991) in Electrical and Computer Engineering from Carnegie Mellon University and the University of Wisconsin at Madison, respectively. His research interests include real-time systems, compiler optimization for concurrency, energy-efficient embedded designs, and memory allocation strategies. He is the recipient of the NSF CAREER Award (2002) and multiple teaching awards, including the NC State Thank a Teacher Award (2011). Dr. Dean teaches courses such as ECE 460/560 (Embedded System Architectures) and ECE 461/561 (Embedded System Design), emphasizing hands-on embedded systems development. His work also involves MCU control of power converters and robust system design methodologies.

• Biology Education
• Giftedness Research
• Science Education
• +۶ مورد دیگر

Claas Wegner is a Professor at Bielefeld University, Germany, where he serves as the Lead Professor of the Osthushenrich Center for Giftedness Research (OZHB) at the Faculty of Biology. He also holds positions at the FHM in Bielefeld (teaching Psychology) and at the University of Koblenz (Biology Didactics). His academic journey includes a doctorate in Biology Didactics and Psychology from Bielefeld University (2009), followed by progressive academic appointments leading to his current professorship since 2015. Wegner's educational background includes comprehensive teacher training for secondary schools with a focus on biology, education, and sports (2000-2006), followed by his trainee teacher period (2007-2008). His academic qualifications were solidified with his doctoral degree in Biology Didactics and Psychology from Bielefeld University in 2009. Professor Wegner's research primarily focuses on biology education and giftedness research, with particular emphasis on: Development and validation of diagnostic instruments for identifying scientifically gifted students Implementation of interdisciplinary teaching approaches, especially connecting biology with physical education Use of technology in science education, including 3D modeling, augmented reality, and simulations Gender-specific approaches in STEM education, particularly for girls Health education, with a focus on basic life support and cardiovascular health Design-Based Research methodology in educational contexts His recent publications demonstrate a strong trend toward integrating emerging technologies like AI and AR into science education while maintaining a focus on giftedness identification and interdisciplinary approaches. Wegner's work increasingly explores how digital tools can enhance traditional biology education and make complex concepts more accessible to students of varying abilities. Professor Wegner leads the Osthushenrich Center for Giftedness Research and directs multiple educational projects including Kolumbus-Kids, ELVIS (Erklärvideos inklusionssensibel gestalten), and various initiatives focused on science education and giftedness. His research team works extensively with school laboratories (teutolab-biology, teutolab-medicine, teutolab-sport) to develop innovative teaching approaches and materials. As an educator, Wegner supervises numerous BA and MA theses, leads project modules, and organizes excursions and workshops. His teaching portfolio includes courses on biology didactics, practical teaching studies, and specialized topics in gifted education. He also serves in various administrative capacities including as Deputy member of the BiSEd Conference and member of the Faculty Conference and Quality Improvement Commission.

• Robotics
• Computer Vision
• Machine Learning
• +۴ مورد دیگر

Nicolas RAGOT is an Associate Professor at CESI, affiliated with the Engineering and Numerical Tools department. He teaches Digital and embedded electronics, Microcontroller programming, System control, and Sensors at the Bachelor and Master levels. His research focuses on Environment perception for robotics and Computer vision, particularly in unconventional applications. He leads or collaborates on major research programs including ROJUNACO (2023–2025), FUSION (2023–2027), OASIS (2022–2024), and COLIBRY (2021–2024), all addressing robotics, digital twins, and industrial automation. He co-supervises PhD students Y. Feddoul, S. Ouarab, and S. Choudhary. His work spans smart mobility, assistive technologies, and energy-efficient systems. He is a member of the Secure Electronic Transactions (TES) competitiveness cluster's expert committee. Education: PhD in Computer Vision (University of Rouen, 2009), Master in Electrical Engineering (University of Paris XI, 2003), Engineering diploma (ESIGELEC, 1999). Research interests emphasize robot perception, human-robot collaboration, and extended reality integration. His publications span object detection, SLAM algorithms, and smart wheelchair systems. Current projects emphasize industrial robotics, digital twins, and real-time 3D reconstruction. Advising and grants include leadership roles in multiple research programs and co-supervision of three PhDs. His lab work focuses on Engineering and Numerical Tools, with contributions to CESI LINEACT's collaborative robotics initiatives.

• Educational Technology
• Creative Programming
• Video Game Design
• +۶ مورد دیگر

Pedro Neves Rito is an Associate Professor at the Department of Communication and Art within the School of Education at the Polytechnic Institute of Viseu, where he has been teaching since 2007. His teaching focuses on web programming, creative programming, microcontroller programming, sensors, and ICT training for pre-school and primary school teachers. He is also a member of the CI&DEI Research Group and has served as Coordinator of the Information and Communication Technologies Area since 2022. His educational background includes: Doctorate in Information Technologies and Systems from the University of Minho (2015) Master's degree in Multimedia in Education from the University of Aveiro (2007) Degree in Computer Engineering from the Instituto Superior de Engenharia de Coimbra Numerous professional certifications including Adobe Certified Expert in Dreamweaver CS3 and Flash CS3 Rito's research spans multiple innovative areas at the intersection of technology and education. His primary interests include the adoption and diffusion of technologies, creative programming and application development, video game design, and tangible interfaces. He has extensively explored how gamification techniques can enhance learning experiences, particularly in programming education, and has investigated the potential of augmented reality in educational contexts. His work often focuses on practical applications for classroom settings, especially for pre-school and primary school teachers. His recent publications show a strong trend toward integrating artificial intelligence in educational game design, with particular emphasis on STEAM education and programming concepts. He has conducted systematic reviews on the educational potential of video games and developed frameworks for designing educational mobile video games. His research consistently emphasizes practical implementation strategies for educators, with a growing focus on AI applications in educational settings. Rito actively supervises numerous graduate students across various programs, particularly in Arts, Multimedia, and Education fields. He has led and participated in multiple research projects including "dEweB - Digital Era: WEB 3.0 and beyond," "Smart City Kids Lab," and "Eco-sensors4Health." His work demonstrates a commitment to applying technology innovations in real educational settings through practical implementation and teacher training.

Chuan Khooمشاهده پروفایل

مدرس

• Interaction Design
• Physical Computing
• Tangible Embodied Interaction
• +۳ مورد دیگر

Dr. Chuan Khoo is a Lecturer in the Department of Design at Monash University, specializing in interaction design, digital media, and physical computing. He holds a PhD from RMIT University and an MFA from the Rhode Island School of Design. His work explores the dual edges of technology through projects like Touchstone (interactive public art) and Lumogram , which interrogate the relationship between humans and digital systems. Khoo’s research focuses on 'slow data'—design perspectives that critically engage with digital augmentation. He has exhibited internationally and developed tools like the mote mini , an IoT microcontroller for design students. His academic roles include teaching at RMIT and heading the Interaction Design program at Nanyang Polytechnic, Singapore. Key projects include When Echoes Find Light (2019), an interactive public bench installation, and Slow Data in the Age of Digital Things , his PhD work critiquing tech velocity. He co-designed the Alfred Health Universal Design Principles project (2024) and received a 2024 DIA Award shortlist for Lumogram . Khoo maintains Technologies for Interactivity , an open-source resource for physical computing, and collaborates globally on projects blending art, tech, and critical design.