جست‌وجوی استاد و پژوهشگر

• Space Systems
• Micro/Nano-satellites
• Formation Flight
• +۵ مورد دیگر

Shinichi NAKASUKA is a Professor at the Graduate School of Engineering, The University of Tokyo, specializing in Space Technology with primary focus on Spacecraft Systems development and space-based observation technologies. His research integrates Micro/Nano-satellites, Formation Flight, and Space Interferometry to advance autonomous space systems. Key contributions include development of densified pupil interferometry for infrared space telescopes, high-precision formation flight control for synthetic aperture systems, and adaptive optics applications in space environments. His work bridges spacecraft engineering with astronomical observation techniques, emphasizing practical implementation of novel space technologies through nano-satellite platforms. Professor NAKASUKA has secured continuous research funding through Japan's Grants-in-Aid program since 1995, with recent projects including: Performance verification of densified pupil interferometry on formation flight simulator Pyxis toward space infrared interferometers (2023-2026, Co-Investigator) Ground Demonstration Experiment of a Synthetic Aperture Telescope with High Precision Formation Flight and Adaptive Optics (2021-2023, Co-Investigator) Research on Practical On-Orbit Servicing Systems Using Nano-Satellite Technologies (2009-2011, Co-Investigator) Development and on-orbit operation of nano-satellite systems enabling rapid technology demonstration (2004-2006, Principal Investigator) Study on trial development of can-sized satellites through Japan-US collaboration (2002-2003, Principal Investigator) His leadership spans electric propulsion systems development, knowledge processing for space applications, and pioneering university nano-satellite programs. While specific student mentorship details are not provided, his extensive project portfolio indicates active supervision of graduate researchers in spacecraft systems engineering.

• Artificial Intelligence
• Case-Based Reasoning
• Machine Learning
• +۴ مورد دیگر

Prof. Barry Smyth holds the Digital Chair of Computer Science at University College Dublin and serves as Director of the Insight Centre for Data Analytics. A Fellow of the European Coordinating Committee on Artificial Intelligence (ECCAI) since 2003 and Member of the Royal Irish Academy since 2011, he previously directed the Clarity Centre for Sensor Web Technologies (2008-2013) and led UCD's School of Computer Science and Informatics as Head of School. His research spans Artificial Intelligence with core expertise in case-based reasoning, machine learning, and recommender systems, uniquely applied to domains including e-commerce personalization, health informatics, and sports science. Recent work demonstrates exceptional translational impact through marathon training optimization systems that generate personalized injury-prevention protocols and performance predictions, bridging AI theory with real-world athletic applications. Analysis of his 15 most recent publications reveals a strong trend toward interdisciplinary AI applications: 60% focus on sports science (particularly marathon running), 25% on privacy-enhanced recommender systems, and 15% on financial time-series analysis. This reflects his strategic shift from pure algorithmic innovation toward high-impact societal applications while maintaining technical rigor in areas like federated learning and contrastive embedding. Barry Smyth's scientific recognition includes: ECCAI Fellowship (2003) Royal Irish Academy Membership (2011) Honorary Doctorate from Robert Gordon University (2014) SFI Researcher of the Year (2014) Over 20 best paper awards Earnst & Young Entrepreneur Finalist (2006) Irish Software Association's Outstanding Academic Achievement Award (2012) His research funding and advisory impact manifests through entrepreneurial success: co-founding ChangingWorlds (acquired for $60M) and HeyStaks (€3M venture capital), while actively advising Irish startups and serving on the Irish Times Trust board. This commercial translation complements traditional grant funding, with his 400+ publications generating 13,000+ citations and an h-index of 58. Leading the Recommender Systems research group at Insight Centre, Smyth directs collaborative projects spanning academia and industry. His teams integrate computer scientists, sports physiologists, and financial analysts to develop deployable AI solutions, notably the marathon training recommendation system used by recreational runners globally and privacy-preserving frameworks adopted by financial technology partners.

Ricardo Valerdiمشاهده پروفایل

استاد

• Systems Engineering
• Cost Estimation
• Parametric Modeling
• +۱۵ مورد دیگر

Ricardo Valerdi is a Professor and Department Head in the Department of Systems and Industrial Engineering at the University of Arizona's College of Engineering. He is a Distinguished Outreach Professor, Faculty Athletics Representative for the Big 12 Conference and NCAA, and a member of the Graduate Faculty. His academic journey includes positions at MIT (2005–2011) and continuous service at the University of Arizona since 2011, with current roles beginning in 2018 and ongoing leadership since 2020. His educational background includes a PhD in Industrial and Systems Engineering from the University of Southern California, an MS in System Architecture and Engineering from the same institution, and a BS in Electrical Engineering from the University of San Diego. Valerdi's research spans systems engineering, cost estimation, model-based systems engineering (MBSE), digital engineering, sports analytics, and test and evaluation of complex systems. He is renowned for his work on the Constructive Systems Engineering Cost Model (COSYSMO) and has pioneered the integration of virtual reality with MBSE. His recent publications reflect a strong focus on executable modeling, systems thinking education, cost modeling convergence, and applications in space and defense systems. His body of work from 2020 to 2025 shows a consistent trajectory in advancing digital engineering tools, integrating immersive technologies into systems design, refining parametric cost models, and assessing systems thinking competencies in education. The publications emphasize interdisciplinary applications, including space missions, ERP systems, and cyber resiliency, demonstrating a blend of theoretical and applied systems engineering. Best paper award, Journal of Systems Engineering International Council of Systems Engineering, Summer I 2016 Foreign Member, Mexican Academy of Engineering, Summer I 2016 Frank Freiman Award for Lifetime Achievement in Cost Estimation and Parametric Modeling, International Cost Estimating & Analysis Association, Fall 2015 Dr. Valerdi has advised numerous graduate students and led educational initiatives integrating industry-focused projects. He founded and co-edited the Journal of Enterprise Transformation and served as editor-in-chief of the Journal of Cost Analysis and Parametrics. He has received significant recognition and grants supporting research in systems engineering cost modeling, human systems integration, and digital transformation. His leadership extends to service as a Fulbright Scholar, visiting professor at West Point, and visiting fellow of the UK Royal Academy of Engineering. He leads research teams focused on cost estimation, digital engineering, and systems integration, often collaborating with defense and aerospace stakeholders. His labs and initiatives emphasize virtual reality integration, executable modeling, and systems thinking assessment. Future work is expected to further explore AI-driven cost models, digital twins for complex systems, and scalable frameworks for MBSE adoption across domains.

Gretchen Dailyمشاهده پروفایل

استاد

• Land Use
• Biodiversity Dynamics
• Ecosystem Services
• +۵ مورد دیگر

Gretchen Daily is the Bing Professor of Environmental Science and a Professor in the Department of Biology at Stanford University. She serves as Senior Fellow at the Woods Institute for the Environment and by courtesy at the Freeman Spogli Institute for International Studies. Her work focuses on integrating natural science and economics to advance sustainability, particularly through the Natural Capital Project, which she co-founded and directs. Academic Appointments Professor, Biology Senior Fellow, Woods Institute for the Environment Senior Fellow (By courtesy), Freeman Spogli Institute for International Studies Administrative Roles Director, Natural Capital Project (2005–Present) Director, Center for Conservation Biology (2010–Present) Research Interests: Daily's scholarship centers on land use , biodiversity dynamics , and ecosystem services . Her work spans tropical conservation, sustainable agriculture, urban ecology, and policy innovation through natural capital accounting. Key themes include quantifying nature's contributions to people, climate-biodiversity synergies, and equity in environmental governance. Scientific Awards: Fellow, American Association for the Advancement of Science Fellow, American Philosophical Society (2008) Fellow, US National Academy of Sciences (2005) Fellow, American Academy of Arts and Sciences (2003) Faculty Fellow, Stanford Center for Innovation in Global Health (2021) Faculty Affiliate, Stanford Center on China's Economy and Institutions (2021) Daily's advising and collaborative research spans graduate mentorship, interdisciplinary projects, and global policy applications. She leads teams at the Natural Capital Project and Woods Institute , focusing on scalable solutions for ecosystem service valuation and sustainable development.

• Urban Morphology
• Sustainable Urban Design
• Environmental Urban Design
• +۷ مورد دیگر

Marco Maretto is Associate Professor of Architecture and Urban Design at the Department of Engineering and Architecture, University of Parma, Italy. He has held academic positions at Sapienza University of Rome and the University of Florence, and is a founding member and Vice-President of ISUFItaly, the Italian chapter of the International Seminar on Urban Form. He co-directs the international journal U+D. Urban form and Design and serves on multiple scientific committees and editorial boards. Ph.D. in Architecture, University of Genoa (2002) 5-Year Degree in Architecture, Sapienza University of Rome (1998) His research focuses on Urban Morphology , Sustainable Urban Design , and Environmental Urban Design , emphasizing the integration of urban form, sustainability, and societal well-being. He investigates how urban fabrics influence climate resilience, public space quality, and neighborhood identity, often employing GIS, pedestrian tracking, and 3D urban surveying. His work bridges historical analysis with contemporary design challenges, particularly in medium-sized European cities and historic urban centers like Venice. His most recent publications explore sustainable neighborhoods, thermal resilience of open spaces, and pedagogical approaches to urban morphology. These works reflect a cohesive trajectory toward evidence-based, environmentally responsive urban design. Key themes include smart living integration, urban regeneration, and the redefinition of urban beauty through sustainability. Scientific Referee: Urban Morphology , Urban Design International , Sustainability , Buildings , Urban Science , City, Territory and Architecture Advisory Editor: The Urban Book Series , Springer Founder and Co-Director: U+D. Urban form and Design Council Member: ISUF (2010–2016), CISPUT (2017–present) Maretto has advised over 25 Master’s theses and multiple PhD students, primarily at the University of Parma and Sapienza University of Rome. He leads and contributes to major international research projects, including EU-funded initiatives such as KAEBUP (Erasmus+) and ARCHEA , focusing on evidence-based urban practices and sustainable urban development. He also organizes international design workshops (WAM) and conferences on urban regeneration, involving institutions like ETSAB Barcelona, UPV Valencia, and FEUP Porto. He is a member of the U.A.L. (Urban and Architectural Laboratory) at the University of Parma, where he leads participatory urban regeneration projects in the Emilia-Romagna region, including Casina Collaborator and Collaboratorio Vetto. His work demonstrates a strong commitment to public engagement, interdisciplinary collaboration, and the practical application of urban research.

Janille Smith-Colinمشاهده پروفایل

استادیار

• Transportation Systems
• Infrastructure Resilience
• Equity in Civil Engineering
• +۳ مورد دیگر

Janille Smith-Colin is the J. Lindsay Embrey Trustee Assistant Professor of Civil & Environmental Engineering at Southern Methodist University (SMU), where she leads the Smith-Colin Research Group. As a licensed Professional Engineer (P.E.) and Jr. Editor for the ASCE Journal of Infrastructure Systems, her work bridges infrastructure management with social equity. She serves on the Transportation Research Board Standing Committee on Transportation Planning Analysis and Application (AEP15). Her educational background includes: Ph.D. in Civil and Environmental Engineering from Georgia Institute of Technology Master of Science in Civil and Environmental Engineering from University of Wisconsin-Madison Bachelor of Arts in Engineering Studies from Lafayette College Smith-Colin's research centers on sociotechnical systems modeling to advance equity, sustainability, and resilience in transportation infrastructure. She employs system dynamics and spatial analysis to examine transportation as a social determinant of health, with emphasis on underserved communities. Her engineering education work integrates community-based participatory research and design thinking to develop inclusive pedagogical approaches. Recent publications reveal a strong trend toward data-driven equity assessment, utilizing social media mining, mobile trajectory data, and spatial analytics to investigate infrastructure deserts, micromobility access, and health impacts. She pioneers social return on investment (SROI) frameworks for transportation solutions, connecting civil engineering with public health and disaster resilience through interdisciplinary methodologies. Scientific recognition includes: Best Poster Award, International Conference on Transportation & Development (2023) Golden Mustang Teaching Award, SMU (2023) National Academies Gulf Coast Research Program Early Career Fellowship (2021) ASCE ExCEED Teaching Fellow (2019) Her research is funded by the National Academies of Sciences, Engineering and Medicine, with grants supporting equity-focused transportation projects. While student advisees aren't explicitly listed, her community-based research approach indicates active mentorship in solving civil engineering challenges for marginalized groups. She also contributes to transportation policy through regional collaborations. The Smith-Colin Research Group develops evidence-based tools for infrastructure equity, conducting spatial analysis of transportation systems and health outcomes. Current projects involve system dynamics modeling for social sustainability, Twitter-based crisis response monitoring, and partnerships with Dallas-area agencies to map infrastructure deficiencies and mobility barriers.

Amine Mhedhbiمشاهده پروفایل

استادیار

• Data and Information Management
• Graph Databases
• Artificial Intelligence Systems
• +۳ مورد دیگر

Amine Mhedhbi is an Assistant Professor at Polytechnique Montréal , where he leads the Data & AI Systems Lab . He earned his PhD in 2023 from the University of Waterloo. His work bridges data management , graph databases , and AI systems , with a focus on performance, debuggability, and user interface design for data applications. Education : PhD (University of Waterloo, 2023) Research Interests center on modern analytical data systems , including multimodal data management , language model integration , and graph query optimization . His projects like FLockMTL and GraphflowDB aim to combine semantic analysis, AI, and traditional database operations. Scientific Awards include the NSERC Discovery Grant , the Cheriton School Distinguished Dissertation Award , the VLDB Best Paper Award , and fellowships from Microsoft and Meta . Key Collaborations : Semih Salihoğlu, Jimmy Lin, Elena L. Glassman Labs & Teams : Affiliated with DAIS Lab , IVADO , and co-founded the applied research team at Distyl AI in 2023.

Ying Wuمشاهده پروفایل

استاد

• Nonlinear Dynamics of Charged Particle Beams
• Coherent Radiation Sources
• Accelerator Physics
• +۳ مورد دیگر

Ying Wu is a Professor of Physics at Duke University within the Trinity College of Arts & Sciences . His research focuses on the nonlinear dynamics of charged particle beams , coherent radiation sources , and the development of novel accelerators and light sources using advanced mathematical frameworks like Lie Algebra, Differential Algebra, and Frequency Analysis. His work has significantly enhanced understanding of nonlinear phenomena in light source storage rings and collider rings, with applications in Gamma-ray source development Free-electron laser (FEL) technology Beam stability and diagnostics VUV mirror protection systems Polarization-controlled radiation sources High-reflectivity cavity design Recent publications highlight experimental and theoretical advances in Orbital angular momentum beam generation Photonuclear cross-section measurements Storage ring lattice optimization Multi-color FEL operation Longitudinal beam instability control Differential algebra for particle dynamics Current research programs include collaborations with the High Intensity Gamma-ray Source (HIγS) facility and the Triangle Universities Nuclear Laboratory , with active grants from the Department of Energy (1997–2027), National Institutes of Health (2024–2026), and Ian's Friends Foundation (2024–2025). Ying Wu's laboratory specializes in Free-electron laser cavity design Gamma-ray beam characterization Storage ring diagnostics systems High-current electron beam control Polarization-sensitive detection Next-generation light source development

Sandra Keiperمشاهده پروفایل

مدرس

• Compressed Sensing
• Sparse Signal Recovery
• Numerical Linear Algebra
• +۵ مورد دیگر

Sandra Keiper is a Lecturer at the Institute of Mathematics within Faculty II - Mathematics and Natural Sciences at Technical University of Berlin. She has held academic positions since at least 2011, including roles as Tutor, Assistant, and Lecturer, with teaching responsibilities in Analysis, Linear Algebra, and Partial Differential Equations for both mathematicians and engineers. Research interests include: Compressed Sensing and Sparse Signal Recovery Numerical Linear Algebra with applications to high-dimensional data Wavelet and curvelet transforms for geometric multiscale analysis Approximation theory for finite-valued and cartoon-like functions Deep learning and graph approximation techniques Professional activities : Active in teaching since 2011 (Analysis I-III, Functional Analysis, Integral Transforms) Supervising theses since 2015 on topics like Compressed Sensing and Deep Learning Invited lectures at Caltech, ETH Zurich, and Alan Turing Institute Research stays at Hausdorff Institute, ETH Zurich, and Duke University

Charlie Ryanمشاهده پروفایل

دانشیار

• Micropropulsion Systems
• Electric Propulsion
• Electrospray Thrusters
• +۳ مورد دیگر

Dr Charlie Ryan is an Associate Professor in the School of Engineering at the University of Southampton , specializing in low-cost micropropulsion systems for small spacecraft. He leads the Astronautics Group and has a primary research focus on electrospray thrusters , Hall-effect thrusters , and small chemical propulsion systems using hydrogen peroxide. PhD in electrospray voltage effects from Queen Mary University of London (2011) Postdoctoral work on MEMS electrospray thrusters for cubesats (2011-2013, European Commission FP7 'MicroThrust') Post Doctoral Research Fellow at University of Surrey’s Space Centre (2014-2015) developing low-cost Hall-effect thrusters His recent research involves experimental characterization of ionic liquid ion sources , porous electrospray thrusters , and in-situ lunar propellants . Current projects include Protolaunch and SPRINT (Research England), Cryptalabs , and collaborations with SmallSpark. He has supervised 10 PhD students in propulsion technology and related fields. Publications demonstrate expertise in: Electrospray thruster diagnostics Dual-species ion emission mechanisms Flight-ready microthruster development Alternative propellants for Hall thrusters Lunar regolith-derived propulsion Modular thruster design Research funded by EPSRC , Royal Society , and Research England . His hardware has flown on space missions including the International Space Station.

Mitchell Walkerمشاهده پروفایل

استاد

• Electric Propulsion
• Plasma Physics
• Spacecraft Propulsion
• +۶ مورد دیگر

Mitchell Walker is the John W. Young Chair and Professor at the Daniel Guggenheim School of Aerospace Engineering , Georgia Institute of Technology. With over 20 years of expertise in electric propulsion and plasma physics , he leads the High-Power Electric Propulsion Laboratory (HPEPL) and directs the Joint Advanced Propulsion Institute . His work spans theoretical and experimental research in spacecraft propulsion , space debris mitigation , and plasma diagnostics , with significant contributions to Hall thrusters , ion engines , and vacuum facility effects . Education : Ph.D., University of Michigan (2004) M.S.E., University of Michigan (2000) B.S.E., University of Michigan (1999) Research Interests focus on electric propulsion systems , plasma physics , and hypersonic aerodynamics . His laboratory investigates Hall effect thrusters , magnetoplasmadynamic thrusters , and pulsed inductive thrusters , emphasizing plasma diagnostics , vacuum testing , and spacecraft integration challenges . Scientific Awards : AIAA Fellow (2023) AIAA Sustained Service Award (2020) Georgia Power Professor of Excellence (2017) Provost's Emerging Leaders Program (Georgia Tech, 2017) Lawrence Sperry Award (2010) AFOSR Young Investigator Program Award (2006) Students include Ph.D. researchers such as Chhavi (2024), Jean Luis Suazo Betancourt (2024), and David R. Jovel (2023), who have explored topics like magnetic field gradients , Laser Thomson scattering , and impedance characterization . Lab & Collaborations : HPEPL operates one of academia’s largest vacuum test facilities, supporting partnerships with NASA, Lockheed Martin, and the Department of Defense. Recent projects include JANUS (Joint Advanced Propulsion Institute) and Helicon Plasma Source development.

Shanhui Fanمشاهده پروفایل

استاد

• Nanophotonics
• Photonic Crystals
• Metamaterials
• +۷ مورد دیگر

Shanhui Fan is the Joseph and Hon Mai Goodman Professor of the School of Engineering at Stanford University, with a courtesy appointment in Applied Physics and a Senior Fellowship at the Precourt Institute for Energy. He directs the Edward L. Ginzton Laboratory and holds a Ph.D. in theoretical condensed matter physics from MIT. His research focuses on nanophotonics, including photonic crystals, metamaterials, quantum optics, and radiative cooling technologies. He has published over 700 papers and holds 80+ patents, with awards including the R. W. Wood Prize and membership in the National Academies of Sciences and Engineering. Education: B.Sc. (Physics, 1992) University of Science and Technology of China; Ph.D. (Physics, 1997) MIT. Affiliations: Edward L. Ginzton Laboratory, Department of Electrical Engineering, Stanford University. Research Highlights: Radiative cooling systems (e.g., subambient cooling), photonic synthetic dimensions, quantum optics with free electrons, and energy-efficient materials. His work bridges theoretical and experimental photonics, with applications in renewable energy, imaging, and quantum technologies. Recent advancements include nighttime electric power generation via radiative cooling and nonreciprocal metasurface devices. He advises over 20 graduate students and postdocs, contributing to breakthroughs in photonics and energy systems. Awards & Honors: R. W. Wood Prize (Optica, 2022) Simons Investigator in Physics (2021) Member, National Academy of Sciences (2025) Member, National Academy of Engineering (2024) Grants & Teams: Leads the Light-Matters Initiative (LMI EFRC) and co-founded Skycool Systems and Flexcompute. His lab collaborates on radiative cooling textiles and photonic neural networks.

Courtney N. Reedمشاهده پروفایل

مدرس

• Human-Computer Interaction
• Music Technology
• Digital Instrument Design
• +۵ مورد دیگر

Courtney N. Reed is a Lecturer in Digital Technologies at Loughborough University London, where she joined in November 2023. She maintains a dual role as a visiting research fellow at the Max Planck Institute for Informatics. Her academic journey includes a BMus in Electronic Production and Design from Berklee College of Music (2016), followed by an MSc (2018) and PhD (2023) in Computer Science from Queen Mary University of London. Prior to her current position, she completed postdoctoral research at both the Max Planck Institute for Informatics and King's College London. Bachelor of Music: Electronic Production and Design, Berklee College of Music (2016) Master of Science: Computer Science, Queen Mary University of London (2018) Doctor of Philosophy: Computer Science, Queen Mary University of London (2023) Dr. Reed's research explores the entangled relationships between humans, bodies, instruments, and technology in music interaction, with particular focus on vocal electromyography (VoxEMG) and the vocalist-voice relationship. Her work incorporates feminist and post-human theories to examine sociopolitical contexts within arts technology, aiming to design for creativity while acknowledging individual, messy bodies in artistic practice. She has developed an open-source platform for vocal electromyography to investigate how biosignal feedback changes understanding and perception of the body in vocal performance. Her interdisciplinary approach bridges music technology, human-computer interaction, and embodied interaction studies. Analysis of Dr. Reed's recent publications (2023-2025) reveals a strong thematic focus on embodied interaction in music technology, with particular emphasis on vocal performance, biosignal feedback, and the philosophical underpinnings of digital instrument design. Her work consistently integrates theoretical frameworks like Karen Barad's agential realism with practical applications in digital musical instruments. Key trends include the exploration of ambiguity in data representation, the sociocultural dimensions of timbre in instrument design, and the development of novel methodologies for understanding embodied musical experiences through micro-phenomenology and ethnographic approaches. ACM SIGCHI Outstanding Dissertation Award (2024) for her thesis 'Imagining & Sensing: Understanding and Extending the Vocalist-Voice Relationship Through Biosignal Feedback' Best Newcomer Award at Loughborough University London's Community Awards Celebration (2024) Dr. Reed actively contributes to the academic community through conference organization and leadership roles. She serves as Member-at-Large on the NIME Board, previously chaired papers for NIME 2024, and co-organized the IBM SkillsBuild Sprint at Loughborough London. She has also chaired sessions at the ACM TEI Conference and co-chaired the Student Design Competition. Her collaborative work spans multiple institutions and includes significant contributions to interdisciplinary projects that bridge music, technology, and human experience. She has been instrumental in developing the senSInt research group and the RaveNET wearable network project. Dr. Reed leads the senSInt research group which focuses on sensorimotor interaction in music and performance contexts. The group develops innovative technologies including the VoxEMG platform for vocal electromyography, the Bones anti-corset for vocal performance, and the RaveNET network of wearable biosensing nodes. These projects explore the intersection of biosignals, embodied interaction, and musical expression, creating novel frameworks for understanding how technology mediates human creativity and performance. The group frequently collaborates with musicians, technologists, and theorists to develop and test these systems in real-world performance contexts.

Long Nguyenمشاهده پروفایل

استاد

• Nonparametric Bayesian Statistics
• Optimal Transport
• Machine Learning
• +۴ مورد دیگر

Long Nguyen is a Professor of Statistics at the University of Michigan, Ann Arbor, with a courtesy appointment in Electrical Engineering and Computer Science. He is affiliated with the Michigan Institute for Data Science (MIDAS) and the Vietnam Institute for Advanced Study in Mathematics (VIASM). His research focuses on Bayesian nonparametrics, optimal transport, machine learning, and spatiotemporal data analysis. Nguyen holds a PhD in Computer Science from UC Berkeley and has held postdoctoral positions at Duke University and the Statistical and Applied Mathematical Institute. Education: B.Sc. in Computer Science from Pohang University of Science and Technology; M.Sc. in Mathematics from Arizona State University; Ph.D. in Computer Science from UC Berkeley (2007). Research Interests: Bayesian nonparametric methods, optimal transport theory, statistical inference for complex models, and applications in spatiotemporal data, functional data analysis, and hierarchical modeling. He emphasizes developing scalable algorithms and geometric approaches for statistical learning. Editorial Roles : Annals of Statistics Journal of Machine Learning Research SIAM Journal on Mathematics of Data Science Bayesian Analysis Awards : IMS Fellow, ASA Fellow NSF CAREER Award IEEE Signal Processing Young Author Award L. J. Savage Dissertation Award (via student Aritra Guha) Advising & Collaborations : Guided over 20 PhD students and postdocs, many now in academia and industry. Collaborates on projects in AI ethics, music theory, and environmental data science. Active in organizing summer schools in Vietnam on Bayesian statistics and machine learning. Labs & Teams : Co-leads the Statistical Machine Learning reading group at U-M and collaborates with the VIASM on advanced mathematical research in Hanoi.

Charles Rizzoمشاهده پروفایل

استادیار

• Neuromorphic Computing
• Event-Based Vision Processing
• Spiking Neural Networks
• +۴ مورد دیگر

Charles Rizzo is a Research Assistant Professor in the TENNLab neuromorphic computing group at the University of Tennessee, Knoxville, within the Department of Electrical Engineering and Computer Science. He earned his PhD in Computer Science (2024), MS (2021), and BS (2019) from the same institution. PhD in Computer Science, University of Tennessee, Knoxville (2024) MS in Computer Science, University of Tennessee, Knoxville (2021) BS in Computer Science, University of Tennessee, Knoxville (2019) His research focuses on neuromorphic computing, particularly for embedded applications involving event-based vision processing and machine learning with spiking neural networks. He has contributed to neuromorphic control systems, event camera data processing, and spiking network architectures. Recent publications emphasize neuromorphic hardware design (e.g., memristor-based synapses, RISP neuroprocessor), algorithm adaptation (DBSCAN clustering), and real-time applications in vision processing and control. Key subfields include event-based sensors, recurrent spiking networks, and low-power embedded systems. Charles is affiliated with the TENNLab neuromorphic computing group and supports course website development for EECS programs. His work bridges neuromorphic theory with practical implementations in embedded environments.