جست‌وجوی استاد و پژوهشگر

• Computer Science Education
• Virtualization
• Embedded Runtime Systems
• +۳ مورد دیگر

Rebecca Schreib serves as an Assistant Teaching Professor and Director of Undergraduate Studies in Rice University's Department of Computer Science. She holds a Ph.D., M.S., and B.S. in Computer Science from Rice University (2019, 2015, 2014 respectively). Her research focuses on computer science education, virtualization, and embedded runtime systems. Her educational background includes a doctoral emphasis on designing personalized interactive learning tools for large introductory courses. Key research contributions include MemStep (2024), collaborative computational thinking courses (2020), and automated assessment systems (2016–2017). Her work spans both educational technology and embedded systems, with a focus on bridging theory-practice gaps in programming education while advancing runtime system reliability for constrained environments. She has developed tools that enhance student engagement and automated systems for testing and memory management. While no scientific awards are listed, her publications reflect sustained innovation in educational technology and embedded computing since 2012. Her advising and grant activities are not explicitly documented here. She contributes to Rice's undergraduate program infrastructure through her directorship role.

Stepan Paulمشاهده پروفایل

عضو هیئت علمی

• Mathematics Education
• Scholarship of Teaching and Learning
• 3D Modeling in Education
• +۵ مورد دیگر

Stepan Paul is an Associate Teaching Professor in the Department of Mathematics at North Carolina State University (NC State), where he has been since 2020. He holds a BS in Mathematics from Duke University (2007) and a PhD in Mathematics from the University of California, Santa Barbara (2013). His primary research focuses on the scholarship of teaching and learning (SoTL) in mathematics, particularly how spatial and visualization skills influence student success in calculus and the impact of 3D manipulatives in active learning environments. He is also deeply involved in mathematical illustration, designing physical and digital tools to enhance the understanding of advanced mathematical concepts, such as non-Euclidean geometry and differential geometry. Paul’s work includes collaborations on projects like Manipulative Calculus , which developed 3D models for multivariable calculus education, and the Flat Klein Bottle sculpture, a curved-crease origami piece displayed at the National Museum of Mathematics. He has published extensively on calculus pedagogy, resource utilization in teaching, and the application of 3D printing in education. His contributions to the Illustrating Mathematics program at ICERM (2019) further highlight his commitment to bridging mathematical research and educational outreach. Education: BS Mathematics, Duke University, 2007 PhD Mathematics, UC Santa Barbara, 2013 Key Projects: Non-Euclidean paper thermoforming for geometry education Desmos applets for calculus visualization Thingiverse 3D print designs (e.g., Sudanese Möbius Band, Siefert Surface) Awards/Grants: Funded by NSF Grant DMS-1439786 and Sloan Foundation (2019) His teaching and research emphasize innovative methods to make abstract mathematical concepts accessible, leveraging technology and hands-on tools to improve student engagement and achievement.

Stefan Lankesمشاهده پروفایل

پژوهشگر

• Operating Systems
• System Software
• High-Performance Computing
• +۴ مورد دیگر

Dr. rer. nat. Stefan Lankes is an academic researcher at the Chair of Automation of Complex Power Systems, RWTH Aachen University's Faculty of Electrical Engineering and Information Technology. His work focuses on operating systems, high-performance computing (HPC), cloud computing, and lightweight virtualization techniques for embedded and real-time systems. Stefan holds a PhD in Electrical Engineering (2003) for his dissertation on real-time distributed platforms. His career spans roles from Scientific Assistant (1998-2004) to Academic Director (since 2019), with key contributions to HPC infrastructure and simulation environments. Research highlights include Rust-based OS development ( HermitCore unikernel ), GPU virtualization in distributed systems, and energy-efficient embedded computing paradigms. He pioneered the FlippedOS digital teaching platform using virtual workstations for operating systems education. Scientific awards include the 2016 Digital Teaching Fellowship and the 2021 RWTH Lecturer distinction. His publications cover topics from NUMA memory management to real-time CORBA protocols, with recent works addressing unikernel security and CUDA virtualization. Stefan leads simulation infrastructure and HPC virtualization projects, with affiliations to the E.ON Energy Research Center and involvement in European workshops like Euro-Par. His work bridges system software innovation with practical applications in energy systems and supercomputing.

Douglas H. Summervilleمشاهده پروفایل

استاد

• Hardware Security
• Tamper Detection
• Network Security
• +۴ مورد دیگر

Douglas H. Summerville is a Professor and Chair of the Department of Electrical and Computer Engineering at Binghamton University, part of the State University of New York system. He holds a B.E. from The Cooper Union (1991), and M.S. and Ph.D. degrees from Binghamton University (1994, 1997). Previously, he served as an Assistant Professor at the University of Hawaii at Manoa. His research focuses on hardware security, tamper detection, and network security, with active projects including Chameleon Circuits (Lockheed Martin/Air Force Research Lab) and SHEATH (DARPA-funded). He has authored over 50 papers and two textbooks on embedded systems design, and is a Senior Member of the IEEE and a member of ASEE. Teaching interests include digital systems design, microcontroller systems, and computer architecture. He has received prestigious awards such as the SUNY Chancellor's Awards for Excellence in Teaching (2011) and Faculty Service (2007), along with the Binghamton University Council/Foundation Award for Service. Current courses include EECE 451/EECE573 (Digital Systems Design II) and EECE 458/583 (Computer Organization & Microprocessors). Past courses span graduate/undergraduate levels in areas like VLSI design, network security, and embedded systems. Research highlights include ultra-lightweight anomaly detection for IoT devices and FPGA-based tamper detection methodologies. His work emphasizes quantifying security as an optimization parameter alongside traditional metrics like speed and power consumption.

Marc Bretonمشاهده پروفایل

استاد

• Medical Engineering
• Diabetes Technology
• Automated Insulin Delivery Systems
• +۳ مورد دیگر

Dr. Marc Breton is a Professor at the University of Virginia School of Medicine and serves as Associate Director of Research at the Center for Diabetes Technology. His work focuses on integrating engineering methodologies like mathematical modeling, signal processing, and automatic control into clinical diabetes management. Key contributions include developing the FDA-recognized simulation environment for pre-clinical insulin strategy assessment and leading clinical trials evaluating automated insulin delivery systems (e.g., Artificial Pancreas). His research emphasizes improving glycemic control through closed-loop systems, addressing challenges like hypoglycemia prevention and mealtime insulin adaptation. Dr. Breton’s research spans both Type 1 and Type 2 diabetes, with recent studies exploring AI-driven glycemic prediction, pediatric closed-loop system efficacy, and sex-based differences in treatment outcomes. He collaborates on initiatives such as the Virtual DCCT project, extending landmark clinical trial insights using modern glucose monitoring data. His interdisciplinary approach bridges biomedical engineering and clinical practice, aiming to translate technological advancements into real-world patient care improvements.

Alejandro Sztrajmanمشاهده پروفایل

پژوهشگر

• Machine Learning
• Computer Graphics
• Computer Vision
• +۳ مورد دیگر

Alejandro Sztrajman is a Researcher and Research Associate at the University of Cambridge's Department of Computer Science and Technology, affiliated with the Rainbow Group. He holds a PhD in Computer Science from University College London (UCL), supported by a Marie Curie Fellowship, and has conducted research internships at Microsoft and Adobe. His work bridges machine learning and visual computing, focusing on neural fields, generative AI, and physics-based rendering, with applications in material appearance modeling, scene illumination, and computational photography. His research spans topics like neural BRDF representations, point cloud generation via diffusion models, and interpretable time series analysis. Key contributions include LSCD (irregular time series imputation), NeuMaDiff (material synthesis via hyperdiffusion), and FrePolad (point cloud generation). He has also developed methods for HDR image deglaring and color calibration for OLED displays. Awards include the Wiley Top Cited Paper and Marie Curie Fellowship funding. His work emphasizes practical applications, with publications in top-tier venues like ECCV, CVPR, and ICML. Collaborations involve Professors Cengiz Öztireli and Rafał Mantiuk at Cambridge, and Tobias Ritschel at UCL. His research aims to advance generative AI, neural rendering, and physically grounded machine learning techniques.

Steve Blackburnمشاهده پروفایل

استاد

• Computer Science
• Programming Languages
• Memory Management
• +۵ مورد دیگر

Steve Blackburn is a Professor of Computer Science at the Australian National University (ANU), affiliated with the ANU College of Systems & Society. His research focuses on programming language implementation, garbage collection algorithms, performance analysis, and high-performance runtime systems. He leads key projects like the DaCapo benchmark suite and the MMTk memory management framework. **Education & Background**: No specific education details provided, but his career spans decades with extensive contributions to computer science research. **Research Interests**: Blackburn prioritizes garbage collection innovation, memory management optimization, and empirical performance evaluation. His work bridges theory and practice, addressing challenges in managed runtimes, just-in-time compilation, and hardware-software co-design. He emphasizes reproducible research through shared infrastructure. **Recent Article Trends**: His 2020–2025 publications emphasize low-latency garbage collection, memory management in distributed systems (e.g., Mako collector for datacenters), and novel approaches to Java/JVM performance analysis. He also explores hardware features like transactional memory and their impact on runtime systems. **Awards**: ACM Fellow (2020+). **Grants & Leadership**: Served as Associate Dean for Diversity & Inclusion in ANU’s College of Engineering and Computer Science (2014–2019). Editorial roles include ACM TOPLAS Associate Editor (2017–2020) and program chairs for top conferences like PLDI (2015) and ISMM (2008). **Labs & Projects**: Leads the MMTk and DaCapo initiatives, foundational tools for memory management and benchmarking in academia and industry.

Vlad Popescuمشاهده پروفایل

دانشیار

• Telecommunications
• Cognitive Radio Systems
• Software Defined Radio
• +۷ مورد دیگر

Vlad Popescu is an Associate Professor at the Department of Electronics and Computers, Faculty of Electrical Engineering and Computer Science, Technical University of Brasov. His research focuses on telecommunications, IoT, cognitive radio systems, and multimedia applications. He has authored numerous publications in top journals and conferences, including work on 6G-enabled smart cities, edge-cloud orchestration, and QoE-driven smart home systems. His research explores cutting-edge topics such as immersive multi-sensory experiences, real-time object detection, and energy-efficient architectures for Android TV integration. Popescu has contributed to open-source satellite simulators and pioneered studies on blockchain-based TV advertising systems. His work bridges theoretical advancements with practical implementations in smart home environments, IoT gateways, and next-generation wireless networks. Award-winning research includes innovations in SDR-based satellite gateways and hardware-software partitioning for embedded systems. His collaborative projects address challenges in distributed video applications, D2D communications, and social IoT frameworks for smart tourism management.

• Cryptographic Hardware
• Symmetric Cryptographic Schemes
• Hardware Implementations of Cryptographic Algorithms
• +۵ مورد دیگر

Silvia Mella is an Assistant Professor in the Digital Security (DiS) group at Radboud University, Netherlands, and a member of the Cryptographic Engineering & Side-Channel Analysis (CESCA) Lab. Her research focuses on cryptographic hardware for embedded devices, including secure implementations of cryptographic algorithms and analysis of side-channel and fault attacks. She holds a PhD from the University of Milan (2018) and previously worked at STMicroelectronics (2015–2022), developing hardware accelerators for public-key cryptography. She has supervised numerous PhD and Master’s students, co-authored over 30 publications, and contributed to cryptographic standards like ASCON and Xoodoo. Her work emphasizes bridging theoretical cryptography with practical hardware security solutions. Education: Bachelor and M.Sc. in Mathematics, University of Milan, Italy PhD in Cryptography (2018), University of Milan, Italy Research Interests: Design/analysis of symmetric cryptographic schemes Hardware implementation security Side-channel and fault attack countermeasures Post-quantum cryptography Lightweight cryptographic primitives Recent Research Trends: Recent work focuses on novel code-based cryptographic constructions (ChiLow/ChiChi), low-latency pseudorandom functions (Koala), and SCA-resistant implementations of algorithms like Xoodoo and Xoodyak. Her research bridges theoretical cryptographic analysis with practical hardware vulnerabilities, often leveraging machine learning techniques for attack detection. Advising & Collaboration: Co-supervised 10+ PhD/Master students on topics like cryptographic permutations and post-quantum schemes Active in industry-academia collaborations through STMicroelectronics and PROACT projects Involved in open-source cryptographic library development Labs & Teams: Leading research in the CESCA Lab at Radboud University, focusing on cryptographic engineering and embedded system security. Collaborates with the Politecnico di Milano and STMicroelectronics on hardware security projects.

Luca Verderameمشاهده پروفایل

دانشیار

• Mobile Security
• Android Security
• IoT Security
• +۳ مورد دیگر

Luca Verderame is an Associate Professor in the Department of Computer Science, Bioengineering, Robotics, and Systems Engineering (DIBRIS) at the University of Genoa. His academic role includes teaching advanced courses such as Mobile Security, Mobile Programming, and Mobile Programming Module 2 at both undergraduate and master's levels. Research focuses on cybersecurity, particularly in mobile ecosystems, IoT firmware integrity, and application security testing tools. Key research contributions include MarvelHideDroid (2025) for Android data anonymization, kernel-level obfuscation analysis (2024), and SEBASTIAn, a cross-platform security testing tool (2023). His work bridges theoretical cybersecurity principles with practical implementations in embedded systems and cloud environments. Contact: luca.verderame@unige.it

• Cloud computing
• Cybersecurity
• Software Engineering
• +۷ مورد دیگر

Paal Engelstad is a Professor at Oslo Metropolitan University's Faculty of Technology, Art and Design, Department of Computer Science. His research focuses on Cloud computing , Cybersecurity , and Software Engineering , with significant contributions to Graph Neural Networks (GNNs) and their applications in network analysis, renewable energy forecasting, and telecom systems. Research interests span Applied Artificial Intelligence and Autonomous Systems and Networks . Recent publications address spatio-temporal wind forecasting , GNN propagation schemes , and 5G network security . He contributes to advancements in renewable energy integration and telecom protocol analysis .

Chengzhi Pengمشاهده پروفایل

مدرس ارشد

• Architectural Computing
• Urban Climate Science
• Building Energy Modelling
• +۵ مورد دیگر

Dr Chengzhi Peng serves as Senior Lecturer and Director of Postgraduate Research at the University of Sheffield's School of Architecture and Landscape. With qualifications including BArch, DipLA, MSc, and PhD, he maintains dual research foci in Design Studies/Architectural Computing (DADA) and Architectural-Urban Science/Climate (AUSC). His leadership spans a research team comprising one postdoctoral associate and six PhD students. Research interests concentrate on building stock energy modelling, climate change impacts on built environments, ageing societies' challenges, and air quality simulation. His work integrates environmental simulation with sustainable design for climate adaptation, particularly through the MSc Digital Architecture and Design program where he serves as Director. Teaching emphasizes dissertation supervision across undergraduate, MArch, and postgraduate levels while embedding computational methods into architectural pedagogy. Recent publications reveal strong trends in urban climate resilience, with 2023-2025 works focusing on heat-health warning systems for vulnerable populations, PM2.5 infiltration analysis in educational buildings, and machine learning applications for air quality improvement. The research consistently bridges architectural design with environmental performance metrics, emphasizing real-world urban contexts and climate adaptation strategies. Significant grant funding includes AXA Research Fund (£124,739) for care home heat stress mitigation, ESRC fellowships (£91,953) on thermal vulnerability, and WUN collaborations (£14,932) on transcultural climate-responsive design. His team's work spans from city-scale housing stock modelling to micro-level indoor environmental quality assessments. Professional engagement includes editorial roles at ArchNet-IJAR (2012-2023) and Buildings journal, AHRC Peer Review College membership (2009-2012), and conference committee participation in eCAADe and CAADRIA. The Architectural and Urban Science (AUS) research group drives projects on solar micro-grid optimization, institutional building stock analysis, and vegetation-air quality interactions.

• Kansei informatics
• Soft computing
• Colour emotion
• +۶ مورد دیگر

Keiichi Muramatsu is Associate Professor (tenure-track since 2025) at Waseda University’s Global Education Center, Japan. Holding a Doctor of Human Sciences from Waseda, he has successively served as Assistant Professor at Saitama University and as part-time Lecturer at Bunkyo University. He is an active member of the Japan Society of Kansei Engineering, the Japanese Society for Artificial Intelligence and the Color Society of Japan. Education: Doctoral Program, Human Sciences, Waseda University (2009-2014) Master’s Program, Human Sciences, Waseda University (2007-2009) Bachelor, Department of Human Informatics and Cognitive Sciences, Waseda University (2003-2007) Research interests: Muramatsu integrates Kansei informatics and soft computing to quantify human emotional and aesthetic responses. His work spans colour-emotion modelling for lighting and butterfly aesthetics, bio-signal driven emotion recognition using chaotic fingertip plethysmography, and gait classification via deep learning for personalised rehabilitation and stumble prevention. He also develops ontological frameworks to share emotional knowledge across educational and product-service system design domains. Publication trends: Across 62 Scopus papers (h-index 7), Muramatsu’s recent outputs demonstrate a convergence of affective engineering and AI: convolutional networks visualise gait features for training feedback, neural predictors estimate learner states in intelligent tutoring systems, and psychophysiological models link colour, fragrance and 3-D sound to emotional dimensions. Studies consistently combine subjective evaluations with objective indices such as fNIRS, skin conductance and chaotic exponents. Grants & industry links: He has led JSPS KAKENHI grants and internal Waseda special research projects, collaborated with Toyota on driver affective scales, and contributed to exoskeleton development with Saitama medical device firms. His work on LED automotive lighting and mobility-scooter stress evaluation reflects ongoing industry knowledge transfer. Advising & labs: While specific student names are not disclosed, Muramatsu supervises graduate research on gait-assistive devices, emotion recognition wearables, and ITS architectures within the Global Education Center’s interdisciplinary environment.

Thomas Leichمشاهده پروفایل

استاد

• Software Product Line Engineering
• Requirements Engineering
• IT Security
• +۱۱ مورد دیگر

Prof. Dr.-Ing. Thomas Leich holds the Volkswagen Financial Services Endowed Professorship for Business Informatics, specifically Requirements Engineering, at Harz University of Applied Sciences. He is affiliated with the Faculty of Automation and Information, focusing on software variability and configurable systems. University: Harz University of Applied Sciences School: Faculty of Automation and Information Academic Rank: Professor Research Interests span software product line engineering, IT security, Industry 4.0, and feature-oriented programming. His work bridges academic innovation with industrial applications, particularly in secure and scalable systems for automotive and enterprise contexts. Recent Publications emphasize security in configurable systems, empirical software engineering studies, and automotive platform management. Articles often involve collaborations with teams at Otto von Guericke University and international institutions. Scientific Awards include the Hugo Junkers Research Award (2013), the Wissenschaftspreis der Wernigeröder Stadtwerkestiftung (2017), and the 2012 Faculty Research Award from the University of Magdeburg. Supervision of over 20 theses since 2008, spanning topics in ERP security, program comprehension, and embedded systems. He leads the EXPLANT project, funded by DFG, and contributes to FeatureIDE , an extensible framework for feature-oriented development.

Sara Lu Riggsمشاهده پروفایل

دانشیار

• Task Sharing
• Attention Management
• Interruption Management
• +۶ مورد دیگر

Sara Lu Riggs is an Associate Professor at the University of Virginia, based in Olsson Hall with a dedicated lab in Olsson Hall 002A. Her research focuses on human factors in complex environments, including aviation, healthcare, and manufacturing, addressing challenges like task sharing, attention management, and interruption management through cognitive ergonomics and systems engineering. She explores multimodal displays to mitigate data overload, adaptive interfaces responsive to user needs, and cognitive limitations such as change blindness. Her work has been funded by the National Science Foundation (NSF), Agency for Healthcare Research and Quality (AHRQ), Air Force Office of Scientific Research, and NIH, totaling over $6 million in grants. Notable achievements include the NSF CAREER Award and the 2016 APA Briggs Dissertation Award. Recent research emphasizes tactile displays, real-time gaze sharing in UAV teams, and AI-driven decision support systems. Her lab develops tools like the MoiréTag for tangible interactions and GUIs to streamline eye-tracking data analysis. Key contributions include advancing adaptive display designs, quantifying collaborative strategies in UAV operations, and improving healthcare workflows through human-centric technologies. She actively investigates how workload transitions affect team performance and situational awareness, with applications in both industrial and medical settings.