جست‌وجوی استاد و پژوهشگر

Mathias Payerمشاهده پروفایل

دانشیار

• Software Security
• System Security
• Fuzzing
• +۵ مورد دیگر

Mathias Payer is an associate professor at EPFL's School of Computer and Communication Sciences (IC), leading the HexHive research group since 2018. He focuses on strengthening software and system security through fuzzing, vulnerability mitigation, and compiler-based approaches. His work includes open-source prototypes and contributions to embedded systems, IoT security, and trusted execution environments. Education: PhD in Computer Science (Dr. sc. ETH) from ETH Zurich (2012), postdoctoral researcher at UC Berkeley (2012–2014), and assistant professor at Purdue University (2014–2018). Tenured at EPFL since 2021. Research Interests: Fuzzing frameworks, memory safety, vulnerability analysis, compiler optimizations for security, and firmware security. Projects include Enclosure , HexType , and DP3T (decentralized contact tracing). Awards: Multiple best/distinguished paper awards at top venues (e.g., Usenix Security, NDSS, RAID). Co-founded the EPFL polygl0ts and Purdue b01lers CTF teams to foster cybersecurity innovation. Labs/Teams: HexHive group, CTF initiatives, and collaborations with industry (e.g., Intel SGX, Android security).

• Telecommunications
• Wireless Sensor Networks
• Air Quality Monitoring
• +۷ مورد دیگر

Alexandre Manuel de Castro Passos de Almeida is an Assistant Professor in the Department of Information Science and Technology at the University Institute of Lisbon (ISCTE-IUL), where he also contributes to the School of Technology and Architecture. He is an Associate Researcher at the Institute of Telecommunications - IUL, actively involved in the Radio Systems Group, focusing on telecommunications and sensor-based environmental monitoring. PhD in Telecommunications, ISCTE-IUL, 2012 His research interests span telecommunications, wireless sensor networks, air quality monitoring, computer architecture, and robotics. He has led and contributed to innovative projects such as ExpoLis, which uses mobile sensor networks on public buses to map urban air pollution. His work bridges engineering and environmental science, aiming to influence urban policy and public health through real-time data systems. The most recent publications highlight a strong trend toward deploying low-cost, mobile sensor networks for environmental monitoring, particularly in urban settings. His work integrates computer systems, signal processing, and sustainable technology, with applications in smart cities, public health, and robotics. Topics like air quality mapping, energy harvesting, and noise-aware robot navigation reflect a multidisciplinary approach to solving real-world problems. He has advised seven Master’s students at ISCTE-IUL, guiding research in sensor networks, air pollution, database performance, robotic navigation, and personal photography assistants. While no specific scientific awards are listed, his contributions to funded research projects and consistent scholarly output indicate recognition in his field. He has held leadership roles in academic governance, including Vice President of the Pedagogical Council, underscoring his institutional engagement. His teaching portfolio includes core courses such as Fundamentals of Computer Architecture, Operating Systems, and Big Data Processing, delivered across multiple undergraduate and postgraduate programs. He is involved in research projects that combine academic innovation with practical urban applications, particularly through the deployment of scalable, open-source environmental sensing systems.

• Fault-Tolerant Computing
• Storage Systems
• Erasure Coding
• +۳ مورد دیگر

James S. Plank is a Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee. He holds a PhD from Princeton University (1993) and has been at UT since 1993. His research focuses on fault-tolerant computing, erasure coding, distributed systems, and neuromorphic computing. He teaches programming courses from introductory to graduate levels and has won multiple teaching awards, including seven departmental awards, the College of Arts and Sciences Senior Faculty Teaching Award, and the Chancellor’s Citation for Excellence in Teaching. Plank is a member of the IEEE Computer Society and has contributed to open-source software like JGraph and Jerasure. His recent research emphasizes neuromorphic computing systems, including projects like NeuroPong and RISP Neuroprocessor. He collaborates with industry and academia on storage systems, checkpointing, and hardware-software co-design. Plank advises numerous graduate and undergraduate students, evident in his annual summer student gallery. He has secured grants such as the NSF-funded "Ground-roaming autonomous neuromorphic targeter" (2020). His lab, Neuromorphic UT, explores applications in control systems, vision, and robotics. Plank’s contributions to erasure coding and storage reliability include seminal works like the RAID-6 Liberation Code and SD codes for mixed failure modes.

Kevin Garyمشاهده پروفایل

دانشیار

• Software Architecture and Design
• Open Source Software
• Agile Methods
• +۳ مورد دیگر

Kevin Gary is an Associate Professor in the School of Computing and Augmented Intelligence (SCAI) within the Ira A. Fulton Schools of Engineering at Arizona State University (ASU). He joined ASU in 2004 after prior industry experience and faculty work at the Catholic University of America. His research focuses on software agility, open source software, and applications in healthcare and e-learning. He has contributed to mHealth platforms addressing pediatric chronic conditions and adaptive e-learning systems. Education: Ph.D. in Computer Science from Arizona State University (1999). Research Interests: Software Architecture, Agile Methods, Open Source Software, Healthcare Informatics, and Educational Technology. His recent work explores agile impact on regression testing and lean metrics in open source software. He has developed mobile health apps for asthma, epilepsy, and anxiety, leveraging agile principles and AI. Teaching & Innovation: Created the Software Enterprise program, an industry-aligned pedagogy integrated into ASU’s software engineering curriculum. This initiative earned the President’s Award for Innovation in 2011. He has taught courses in software engineering, web applications, and secure software systems. Grants & Projects: Led projects funded by NSF, industry partners (e.g., UNICON, GEORGETOWN UNIV MED CTR), and foundations (Children’s National Medical). Notable projects include the Image-Guided Surgical Toolkit and the ATIC-funded Software Enterprise pedagogy model. Service: Reviewed for journals/conferences, served as Associate Chair of computing programs, and contributed to professional organizations (IEEE, ACM, ASEE).

Pedro Sant'Annaمشاهده پروفایل

دانشیار

• Causal Inference
• Econometrics
• Applied Econometrics
• +۳ مورد دیگر

Pedro Sant'Anna is an Associate Professor of Economics at Emory University, specializing in Causal Inference, Econometrics, and Machine Learning. He holds a PhD in Economics (cum laude) from Universidad Carlos III de Madrid (2015), an MA from the same institution, and a BA from Ibmec-MG, Brazil (2009, Summa cum laude). His research focuses on applied econometric methods, particularly Difference-in-Differences (DiD) designs, and he is an Associate Editor for the Journal of Econometrics and Journal of Business & Economic Statistics . Education PhD in Economics (cum laude), Universidad Carlos III de Madrid, Spain (2015) MA in Economics, Universidad Carlos III de Madrid, Spain (2011) BA in Economics (Summa cum laude), Ibmec-MG, Brazil (2009) Research Interests His work emphasizes improving DiD methodologies, including triple differences, continuous treatments, and staggered adoption designs. He has developed influential software tools (e.g., did , staggered , and DRDID packages) and co-authored a practitioner's guide to DiD designs. His research bridges econometrics and machine learning to address treatment effect heterogeneity and policy evaluation challenges. Recent Contributions Recent work includes advancing triple differences estimators, addressing compositional changes in DiD frameworks, and developing efficient methods for staggered rollout designs. He also explores overlap issues in doubly robust estimation and functional form sensitivity in parallel trends assumptions. Grants and Collaborations Sant'Anna collaborates with institutions like Microsoft and Amazon, applying econometric methods to real-world problems. His work has been supported by grants and partnerships, though specific grants are not detailed here. Labs and Teams He leads research initiatives on causal inference and DiD methodologies, often involving collaborations with students and international colleagues. His GitHub repositories host open-source tools for empirical researchers.

Keenan Craneمشاهده پروفایل

دانشیار

• Computer Science
• Mathematics
• Scientific Computing
• +۷ مورد دیگر

Keenan Crane is the Michael B. Donohue Associate Professor of Computer Science and Robotics at Carnegie Mellon University , with membership in the Center for Nonlinear Analysis and mentorship in the Geometry Collective . His research bridges differential geometry and computer science to develop fundamental algorithms for geometric data processing. Education : BS from University of Illinois at Urbana-Champaign, PhD from Caltech Fellowships : Google PhD Fellow, NSF Mathematical Sciences Postdoctoral Fellow Research focuses on Discrete Differential Geometry , addressing PDE solutions, mesh processing, and geometric modeling through methods like: Walk on Spheres for PDEs Intrinsic Triangulations for robust geometry Repulsive Energy formulations for collision avoidance Recent publications span 2025–2021 , emphasizing grid-free algorithms , anisotropic mesh generation , and differentiable systems . Scientific accolades include Packard Fellowship and NSF CAREER Award . Students include Nicole Feng , Olga Gutan , and Zoë Marschner . During his 2024 sabbatical at Roblox , he does not accept new researchers. Key software contributions include Penrose (math diagram generation) and I♥Mesh (domain-specific language for mesh algorithms).

Marco Donatoمشاهده پروفایل

استادیار

• Hardware for Machine Learning
• Non-Volatile Memories
• SoC Design
• +۵ مورد دیگر

Marco Donato is an Assistant Professor in both the Department of Electrical and Computer Engineering and the Department of Computer Science at Tufts University. He leads the TECS Lab (Testchip, Embedded Computing Systems) focused on hardware design for emerging applications. Prior to joining Tufts, he was a postdoctoral fellow at Harvard University's John A. Paulson School of Engineering and Applied Sciences. Dr. Donato received his academic training from prestigious institutions: Ph.D. in Electrical Sciences and Computer Engineering from Brown University (2016) M.Sc. in Electrical Engineering from Università di Roma La Sapienza, Rome, Italy (2010) B.Sc. in Electrical Engineering from Università di Roma La Sapienza, Rome, Italy (2008) Dr. Donato's research primarily focuses on designing reliable and energy-efficient hardware systems leveraging emerging technologies. His work centers on co-design methodologies for building specialized architectures for machine learning applications that utilize dense, fault-prone embedded non-volatile memories. He investigates noise modeling and reliability aspects of next-generation memory technologies, with particular emphasis on how these can be effectively integrated into system-on-chip (SoC) designs for edge computing and IoT applications. His research bridges the gap between circuit-level design and system-level architecture to create holistic solutions for hardware acceleration of machine learning workloads. Analysis of Dr. Donato's publication record reveals a strong focus on hardware acceleration for machine learning, particularly through innovative memory system designs. His work spans multiple domains including non-volatile memory technologies, energy-efficient circuit design, and flexible SoC architectures. A notable trend is his exploration of how emerging memory technologies can be leveraged to create more efficient implementations of deep neural networks, with particular attention to the trade-offs between reliability, density, and energy consumption. His research often involves full-stack approaches that consider everything from device physics to system architecture. Dr. Donato is actively involved in mentoring and has indicated he is "looking for Ph.D. students." His work has been supported by significant research grants that have enabled the fabrication of multiple test chips, as evidenced by his extensive publication record in top-tier venues including IEEE Journal of Solid-State Circuits, ISSCC, and MICRO. He leads the TECS Lab at Tufts University, which focuses on testchip development, embedded computing systems, and hardware acceleration. The lab appears to maintain connections with researchers at Harvard University and other institutions, reflecting Dr. Donato's collaborative approach to research. The lab's work emphasizes practical, real-world implementations of novel hardware concepts through actual silicon fabrication, which is relatively rare in academic settings.

Haynes Heatonمشاهده پروفایل

استادیار

• Computational Biology
• Genomics
• Bioinformatics
• +۴ مورد دیگر

Haynes Heaton is an Assistant Professor in the Department of Computer Science and Software Engineering at Auburn University. He holds a Ph.D. in Computational Biology from Cambridge University, an M.D. from Brown University, and a B.S. in Computer Science from Brown University. His interdisciplinary work bridges computational methods with biomedical applications, focusing on genomic technologies for malaria research and single-cell analysis. Research interests include genome sequencing of malaria vectors (e.g., Anopheles mosquitoes), development of bioinformatics tools (e.g., LCSKPOA, Souporcell), and structural variation analysis in human and pathogen genomes. His work has contributed to chromosomal reference genomes for multiple malaria mosquitoes, advancing understanding of vector biology and disease transmission. Publications highlight innovations in genome assembly, single-cell RNA-seq deconvolution, and computational methods for genomic data analysis. While no explicit awards are listed, his research has been featured in Auburn Engineering news for breakthroughs in leukemia diagnostics via software development. He collaborates with medical and computational teams to translate genomic insights into clinical applications. No advising records or grants are explicitly detailed in the provided text.

Eleonora Oreggiaمشاهده پروفایل

مدرس

• Electronic Music
• Media Art
• Human-Computer Interaction
• +۴ مورد دیگر

Eleonora Oreggia is a Lecturer in Electronic Music, Computing and Technology at Goldsmiths, University of London. She holds a PhD in Media & Arts Technology from Queen Mary University of London (2020), an MPhil in Cultural Studies from Goldsmiths (2013), and a Laurea (Summa Cum Laude) in Semiotics of Art, Drama, Art and Music Studies (DAMS) from the University of Bologna (2003). Her interdisciplinary work bridges science, humanities, and creative arts, focusing on electromagnetic sensing systems, expressive interaction in electronic music, and the intersection of identity with technology. Teaching roles include convening the BMus/BSc in Electronic Music, Computing and Technology, and courses like Music Computing 1, 2, and Advanced Audiovisual Processing. Her research explores invisible interfaces and electromagnetic fields as artistic tools, blending performance, installation, and live electronic music. She has exhibited globally in museums, festivals, and digital platforms, with notable projects like REBUS - Electromagnetic Interactions and Bamboo Ring Live . Key themes in her work include human-machine relations, perception of reality, and technomagical interfaces. She has collaborated with institutions such as BBC R&D, Jan van Eyck Academie, and founded Nebularosa Records to support experimental music. Her articles and books address topics like instrument design, digital creativity, and the philosophical implications of technology.

Rei Sanchez-Ariasمشاهده پروفایل

استاد آموزشی

• Data Mining
• Machine Learning
• Numerical Optimization
• +۱ مورد دیگر

Rei Sanchez-Arias is a Teaching Professor and Director of the Master of Applied Data Science (MADS) program at UNC Chapel Hill's School of Data Science and Society. His expertise includes data mining, machine learning algorithm development, and data science pedagogy. He previously held positions at Florida Polytechnic University and St. Thomas University. Research interests span educational tools, health informatics, and optimization methods. Recent work involves AI for endoscopic surgery evaluation, meta-analysis of MLOps tools, and curriculum design for data science programs. Awards include the Excellence in Teaching Award from Florida Polytechnic. Student mentorship focuses on data wrangling and analytics projects.

Eileen Scanlonمشاهده پروفایل

عضو هیئت علمی

• Educational Technology
• Science Communication
• Public Engagement in Science
• +۴ مورد دیگر

Eileen Scanlon is the Regius Professor of Open Education at the Open University, a title awarded for her groundbreaking contributions to educational technology and science communication. She holds a PhD in cognitive models of physics problem solving and has been affiliated with the University since 1975, working extensively in the Institute of Educational Technology (IET). As Associate Director of Research and Innovation in the IET, she leads strategic research initiatives in technology-enhanced learning (TEL), including directing the openTEL research theme. Her work focuses on bridging formal and informal learning contexts, advancing citizen science, and leveraging digital tools for inclusive education. She has pioneered platforms like nQuire for community-driven inquiry and contributed to influential reports like the Innovating Pedagogy series. Scanlon also holds visiting roles at the University of Edinburgh and previously served at Bletchley Park and the University of California, Berkeley. Her research interests span educational technology, science communication, and open educational resources (OERs), with an emphasis on democratizing access to science. Key achievements include developing frameworks for MOOCs, advancing virtual microscopy in distance learning, and promoting participatory citizen science initiatives. Education: PhD in physics education (1990), Open University Affiliations: Institute of Educational Technology (IET), Moray House School of Education (Edinburgh) Grants: Leadership in openTEL, EC-funded MAZI project, and MASELTOV incidental learning initiatives Labs: Computers and Learning Research Group (CALRG), Centre for Research in Education and Educational Technology (CREET)

Jürgen Hausenمشاهده پروفایل

استاد

• Algebraic Geometry
• Combinatorial Algebraic Geometry
• Toric Varieties
• +۳ مورد دیگر

Prof. Dr. Jürgen Hausen is a Professor in the Department of Mathematics at Eberhard Karls University of Tübingen, specializing in Algebraic Geometry with a focus on toric varieties, Cox rings, and geometric invariant theory. His research explores combinatorial structures in algebraic geometry, including the classification of algebraic varieties with torus actions, log del Pezzo surfaces, and Fano varieties. He has developed influential software tools like TorDiv for computations in toric geometry. His work bridges abstract algebraic theory with practical computational methods, contributing to the understanding of geometric structures and their applications. Key Research Themes: Toric varieties, Cox rings, geometric invariant theory, Fano varieties, and polyhedral divisors. Software Contributions: TorDiv (Maple package), compcox (Singular package), and MDS (Maple package for Mori dream spaces). Education: Extensive academic career with a focus on algebraic geometry, including foundational work on Mori dream spaces and the theory of Cox rings. His publications span over three decades, addressing topics such as degenerations of projective planes, automorphism groups of varieties, and the interplay between algebraic geometry and combinatorics. He actively contributes to teaching, authoring textbooks like Lineare Algebra I & II , and offers open-access course materials and video lectures.

Long Chenمشاهده پروفایل

استاد

• Numerical Analysis
• Finite Element Methods
• Scientific Computing
• +۲ مورد دیگر

Long Chen is Professor in the Department of Mathematics at the University of California, Irvine. His research develops computational methods for solving partial differential equations through finite element analysis and numerical linear algebra. Research advances include hybridizable finite elements, multigrid solvers, and accelerated optimization techniques. Recent work focuses on finite element complexes, distributional formulations, and efficient implementations for high-dimensional problems. Develops open-source software packages including iFEM for adaptive finite element methods. Teaching includes numerical analysis, optimization, and computational PDE courses.

Joanna Chiuمشاهده پروفایل

استاد

• Molecular Genetics
• Animal Behavior
• Circadian and Seasonal Biology
• +۳ مورد دیگر

Joanna Chiu is a Professor and Chair in the Department of Entomology at the University of California, Davis, affiliated with the College of Agricultural and Environmental Sciences and the UC Davis Genome Center. She holds a B.A. in Biology and Music from Mount Holyoke College and a Ph.D. in Molecular Genetics from New York University. Her research focuses on molecular mechanisms underlying animal behavior, circadian rhythms, seasonal biology, and insect genomics, with applications in pest management and agricultural science. Key research interests include understanding how circadian clocks integrate environmental cues like temperature and light to regulate physiology and behavior, particularly in insects. Her work involves molecular genetics, transcriptomics, and genomic tools to study pest species such as Drosophila suzukii and Tuta absoluta, addressing challenges like pesticide resistance and invasive species control. She has developed diagnostic tools (e.g., RPA-Cas12a assays) and software (e.g., CRUMB app) for analyzing insect behavior and genetics. Recent publications highlight studies on circadian temperature compensation, seasonal adaptation in insects, and the molecular basis of pest resistance. Her lab’s collaborations span entomology, genomics, and computational biology, with implications for sustainable agriculture and chronobiology. Grants and funding support her work on pest genomics, circadian mechanisms, and translational applications in pest control. Joanna Chiu mentors students and researchers in entomology, biochemistry, and genetics through UC Davis graduate groups (ENT, BMCDB, IGG, ABGG). Her lab actively contributes to genome assembly projects for agricultural pests and explores novel strategies for integrated pest management using molecular and genetic approaches.

Seth Freyمشاهده پروفایل

دانشیار

• Computational Social Science
• Governance Institutions
• Online Communities
• +۳ مورد دیگر

Seth Frey is an Associate Professor in the Department of Communication at the University of California, Davis. His research focuses on computational social science, exploring governance institutions and complex human decision-making through computational methods, large datasets, and web-based experiments. He examines online communities as models of governance, with expertise in computational approaches to institutional design and strategic behavior analysis. Education: Ph.D. in Cognitive Science and Informatics, Indiana University, 2013 B.A. in Cognitive Science, UC Berkeley, 2004 Research Interests: Frey's work integrates data science, lab experiments, and computational modeling to study human organizations and communication. Key areas include governance technology, cognitive mechanisms of social outcomes, and institutional evolution. His projects span online games, sports, and open-source software communities, emphasizing topics like collective action, self-governance, and cooperative behavior. Publications & Funding: His work appears in journals like PNAS and Nature Scientific Reports, and has been funded by NSF, NASA, and the Ford Foundation. He contributes to the Ostrom Workshop at Indiana University and directs the Computational Communication Lab at UC Davis. Teaching: Frey teaches courses on data visualization, simulation methods, and online data analysis in the social sciences.