جستجوی استاد راهنمای دانشگاهی

Anthony Rowe is the Siewiorek and Walker Family Professor of Electrical and Computer Engineering at Carnegie Mellon University (CMU) and a Chief Scientist at Bosch Research. His primary affiliation is with the CyLab and the Wireless, Sensing and Embedded Systems (WiSE Lab) at CMU. He specializes in networked embedded systems, sensor networks, and extended reality (XR) technologies. His research emphasizes energy-efficient sensing, real-time localization, and XR integration with physical systems. Research Focus: His work spans XR systems (e.g., AR/VR edge networking in ARENA), mmWave radar for sensing (e.g., tire wear monitoring via Osprey), distributed edge computing (Silverline), and low-power wide-area networking (OpenChirp). Recent efforts include AI-integrated XR platforms (XaiR) and radar tomography (DART). Grants & Projects: Leads the CONIX Research Center ($27.5M NSF/DARPA grant), Bosch-funded edge computing projects, and DOE initiatives on microgrids. Notable projects include ARENA (XR edge architecture), GridBallast (smart grid control), and rural microgrid deployments in Haiti. Awards: Best Student Paper (ISMAR 2024), Best Paper (IPSN 2020), and the Steven J. Fenves Research Award (2015). Recognized for innovations in localization (MobiCom 2021), radar (ICRA 2023), and energy systems (BuildSys 2010). Teaching: Teaches courses on embedded systems (18-349/18-449), real-time systems, and mixed reality (18-453). Courses emphasize hands-on design and real-world applications. Labs & Teams: Directs the WiSE Lab, collaborating with Bosch Research and industry partners. The lab develops open-source frameworks like ARENA and OpenChirp, and contributes to standards for edge computing and sensing.

• Networked Embedded Systems
• Sensor Networks
• Extended Reality (XR) Systems
• +۶ مورد دیگر

Barbara Caputo is a Full Professor at Politecnico di Torino, leading the VANDAL Laboratory and directing the AI@PoliTo Interdepartmental Lab. She holds a double affiliation with the Italian Institute of Technology (IIT) and has held roles at Idiap-EPFL and Sapienza University. Her research focuses on AI, computer vision, domain adaptation, and federated learning. She contributes to national AI policy, including the Italian Strategy on AI and the National PhD on AI for Industry 4.0. She is an ERC Laureate and ELLIS Fellow, co-founding ELLIS society. Her work spans visual place recognition, action recognition, and cross-domain learning. Education: PhD in Computer Science from KTH Royal Institute of Technology (2005). Major roles include Rector’s Advisor on AI at PoliTo, Board Member of ELLIS, and coordinator of the AI & Industry 4.0 vertical in the National PhD program. Awards include ERC Laureate (2017), ELLIS Fellow (2019), and Inspiring Fifty Italy (2018). Her research emphasizes federated learning, domain adaptation, and AI ethics. Recent articles explore domain generalization, resource-efficient federated models, and AI-environment interactions. She collaborates with institutions like MUR, CNR, and the European Commission on AI policy and tech initiatives.

• Artificial Intelligence
• Computer Vision
• Machine Learning
• +۳ مورد دیگر

Matt King is an Associate Professor and Graduate Director in the Department of History at the University of South Florida (USF), within the College of Arts and Sciences. He specializes in medieval Mediterranean history, digital humanities, and the Crusades era, particularly focusing on Norman-Sicily and Zirid-Ifriqiya relations. King holds a Ph.D. from the University of Minnesota (2018) and teaches courses on medieval history, digital methods, and historical pedagogy. His research explores the interconnectedness of medieval Mediterranean polities, leveraging Arabic and Latin sources alongside digital tools like the Old World Drought Atlas. His first book, Dynasties Intertwined (2022), examines Zirid-Norman relations. He has co-authored translations of al-Idrisi’s geography and is currently researching the historical perception of goblins. Education: Ph.D., University of Minnesota (2018); M.A. (2014), B.A. (2012) in History and Latin. King’s teaching emphasizes active learning and digital humanities, including workshops for K-12 educators. He has received grants totaling over $40,000 for research and community projects. Awards include the Outstanding Graduate Instructor Award (UMN, 2018) and the Subvention Award (USF, 2022). His publications span peer-reviewed journals (e.g., Journal of North African Studies , The History Teacher ) and edited volumes, with a focus on medieval Mediterranean dynamics, digital pedagogy, and environmental history. King advises graduate students in medieval Mediterranean history, emphasizing research in Arabic, Latin, or Greek. He is involved in digital initiatives, including departmental websites and archaeological 3D modeling projects.

• Medieval History
• Crusades Studies
• Digital Humanities
• +۳ مورد دیگر

Alanson Sample is an Associate Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan (since 2018), leading the Interactive Sensing and Computing Lab. His research focuses on Human-Computer Interaction, Cyber-Physical Systems, and wireless technology innovations. He holds a PhD in Electrical Engineering from the University of Washington (2011), with prior postdoctoral work there developing implantable medical devices. Before academia, Sample held senior roles at Disney Research (2013-2018) as Executive Lab Director and Principal Research Scientist, leading teams in Robotics, AI, Computer Vision, and HCI. Earlier, he worked at Intel Labs (2008-2013) on energy harvesting for wearables and IoT. Key research themes include wireless power systems, embedded sensing, and privacy-aware technologies. Over 150+ publications span topics like magnetic sensing (MagDesk), acoustic gesture recognition (HandSAW), and privacy-preserving activity tracking (PrivacyMic). His work bridges academic and industry innovation, particularly in scalable interactive systems and medical technology. Notable projects include the Quasistatic Cavity Resonance wireless charging system, RFID-based sensing platforms (WISP), and wearable health monitoring devices. His lab develops hardware-software co-design frameworks for energy-efficient embedded systems. Current research emphasizes medical applications, smart infrastructure, and ubiquitous computing interfaces.

• Human Computer Interaction
• Cyber-Physical Systems
• Wireless Technology
• +۴ مورد دیگر

Dr. ONG Ghim Ping Raymond is an Associate Professor and Deputy Head (Research) at the Department of Civil and Environmental Engineering, National University of Singapore (NUS). He concurrently serves as Director (Operations) at the Coastal Protection and Flood Resilience Institute (CFI) Singapore. His expertise spans sustainable pavements, multimodal transport infrastructure, and urban mobility systems. Dr. Ong holds a B.Eng (Civil) with First Class Honours and a PhD from NUS, followed by postdoctoral research at Purdue University. He has authored/co-authored over 85 peer-reviewed journal articles and 120 conference papers. His research focuses on circular economy applications in infrastructure, car-lite urban design, and mega-projects like Tuas Port and Changi Airport expansions. Dr. Ong actively engages in policy advisory roles, serving on international committees for ASCE, ASTM, and EASTS. He has received prestigious awards including the Alfred Noble Prize (ASCE) and Takeuchi Yoshio Award (OCDI). His teaching accolades include multiple NUS Faculty of Engineering commendations. He advises on critical infrastructure projects for agencies like Changi Airport Group and Defence Science and Technology Agency. Dr. Ong frequently contributes to public discourse on transport and urban planning via media interviews and policy consultations.

• Sustainable Pavements
• Multimodal Transport Infrastructure
• Transportation Planning
• +۴ مورد دیگر

Professor Haijiang Li is a Chair in BIM for Smart Engineering at Cardiff University's School of Engineering. His roles include leading the Computational Mechanics and Engineering AI Research Group, directing the BIM for Smart Engineering Centre, and overseeing the BIM MSc programme. He holds editorial roles for journals like Construction Innovation and Automation in Construction , and chairs the European Group of Intelligent Computing in Engineering (EG-ICE). Research focuses on smart computational engineering platforms integrating BIM, AI, and big data for sustainable infrastructure. Key areas include digital twins, disaster management, and resilient urban systems. He has secured £40M in research funding, including £9M as PI, and led over 70 research staff and students. Prof. Li is a Standards Committee Technical Executive at buildingSMART, driving international BIM standards. His work includes co-authoring a book on BIM standards across China, the US, and the UK. Awards include Fellowships from the British Computer Society (FBCS) and the Higher Education Academy (FHEA). His research outputs span over 250 publications, covering topics like AI-driven bridge maintenance, ontology-based decision-making, and energy-efficient urban systems. Collaborations with industry and global partners emphasize practical applications of BIM and smart technologies.

• Civil Engineering
• Structural Engineering
• Computational Engineering
• +۳ مورد دیگر

Xiaoxiang Zhu is a Professor for Data Science in Earth Observation at the Technical University of Munich (TUM) and serves as the Director of the International AI Future Lab - AI4EO. She is also on the Board of Directors of the Munich Data Science Institute (MDSI) and has held various leadership positions in research institutions including as Spokesperson for Helmholtz AI Research Field "Aeronautics, Space and Transport" (MASTr). Her educational background includes a doctorate (Dr.-Ing.) and habilitation from TUM. She has held positions as Private Dozent at TUM (2013-2015), TUM Junior Fellow (2013-2015), and Research Group Leader for "SparsEO" at Munich Aerospace (2011-2016). Professor Zhu's research focuses on the intersection of remote sensing, artificial intelligence, and data science. Her work primarily addresses global urban mapping, sustainable development goals, and climate change monitoring through Earth observation technologies. She develops advanced signal processing techniques and machine learning algorithms specifically tailored for satellite imagery and geospatial data analysis. Her research has significant applications in urban planning, environmental monitoring, and disaster management. Her team has pioneered approaches that combine synthetic aperture radar (SAR) with deep learning for improved Earth observation capabilities. Professor Zhu has received numerous prestigious awards including being named an IEEE Fellow (2021), receiving the Geodesy Award of the Nico Rüpke Foundation (2020), and being awarded an ERC Proof of Concept Grant (2020, 2022). She is also a Fellow of the Academia Europaea (2024) and AAIA Fellow (2024). Her publication record includes highly cited works such as "Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources" (2017). She leads a substantial research team comprising numerous PhD students and postdoctoral researchers working on various projects including Horizon Europe - ThinkingEarth, EarthCare, and AI4TWINNING. Her research group, the Chair of Data Science in Earth Observation, is actively involved in multiple large-scale European and German research initiatives focused on Earth observation and AI applications.

• Remote sensing and Earth observation
• Signal processing
• Artificial intelligence and machine learning
• +۳ مورد دیگر

Dr. Muhammad Gulzari is an Assistant Professor at the School of Civil Engineering, University College Dublin (UCD). Previously, he held positions as Lecturer/Assistant Professor at the University of Galway (2023–2024), Adjunct Assistant Professor at Trinity College Dublin (2022–2023), and a Research Fellow at Trinity College Dublin (2021–2023). He earned his Ph.D. in Civil Structural Engineering from City University of Hong Kong (2021) and a B.Sc. in Civil Engineering from the University of Engineering and Technology Lahore (2017). Education: Bachelor of Engineering, Civil Engineering, University of Engineering and Technology Lahore Ph.D., Civil Structural Engineering, City University of Hong Kong Research Interests: His work focuses on structured materials and dynamics, including finite element modeling, phononic crystals, acoustic and mechanical metamaterials, vibration and noise control, and applications in structural health monitoring. He leads the Structured Materials and Dynamics Lab at UCD, exploring nonlinear and nonreciprocal metamaterials. Teaching and Awards: He has taught courses in Fluid Mechanics, Thermodynamics, and Combustion Engineering. Notable recognitions include the Seal of Excellence Award from the EU-Horizon MSCA Postdoctoral Fellowship (2021) and nominations for teaching excellence awards at Trinity College Dublin and University of Galway. Grants: TimberFlow: Enhancing Efficiency in Mass Timber Construction (Enterprise Ireland, 2025) Indoor Acoustic Quality via Acoustic Metamaterials (Enterprise Ireland, 2025) RUBBERPAVE: ELT Integration in Pavement Construction (Enterprise Ireland, 2024–2026) Deep Learning for Metamaterial Design (Irish Research Council, 2021–2023) Labs and Collaborations: His research group collaborates with industry partners like Amplitude Acoustics and G-frame Structures Ltd. Key projects include developing metamaterials for noise/vibration control and sustainable construction materials.

• Finite Element Modelling
• Structural Dynamics
• Applied Mechanics
• +۷ مورد دیگر

Huamin Qu is a Chair Professor in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST). He serves as the Founding Dean of the Academy of Interdisciplinary Studies (AIS), Founding Head of the Division of Emerging Interdisciplinary Areas (EMIA), and was the Founding Acting Head of Computational Media and Arts (CMA) at HKUST(GZ). Qu directs the VisLab and coordinates the Human-Computer Interaction (HCI) group. He obtained his BS in Mathematics from Xi'an Jiaotong University and MS/PhD in Computer Science from Stony Brook University. Qu's research integrates Data Visualization , Human-Computer Interaction , and Human-Centered AI , with applications in urban informatics, social networks, and explainable AI. His work focuses on developing interactive systems for big data analytics, visual storytelling, and AI-driven decision support. Research extends to multimodal communication, fintech, and augmented reality applications. His publications emphasize visual analytics for complex datasets (mobility, social media, financial), interaction techniques for immersive environments, and AI-enhanced visualization tools. Recent works explore explainable AI interfaces and large-scale data communication frameworks. IEEE Visualization Academy (2020) IEEE VGTC Technical Achievement Award AI 2000 Most Influential Scholar (2019, 2023, 2024) 21 Best Paper/Honorable Mention awards IBM Faculty Award (2009) APICTA Merit Award (2015) Yelp Dataset Grand Prize (2018) Qu has advised 48 PhD graduates (21 now faculty at institutions like UC Davis, University of Minnesota, Texas A&M) and 30 MPhil students. He secured major grants including RGC theme-based projects (digital citizenship, air pollution), UGC AoE (slope safety), and China's 973 Program. As VisLab director, he leads 20+ researchers in visualization/HCI projects adopted by Microsoft, IBM, Huawei, and Tencent.

• Data Visualization
• Human-Computer Interaction
• Big Data Analytics
• +۱۳ مورد دیگر

Professor Gabriel Brostow is a faculty member in the Department of Computer Science at University College London (UCL), where he leads research in Computer Vision and Human-Computer Interaction. He also serves as Chief Research Scientist and Senior Director of the R&D Team at Niantic, the company behind Pokémon GO. His work bridges academic research and industry applications, focusing on developing AI systems that enhance human capabilities through what he terms 'Human in the Loop AI'—now commonly referred to as Human-Centered AI. Brostow completed his BS in Electrical Engineering at UT Austin, followed by a PhD with Irfan Essa at Georgia Tech. He then pursued postdoctoral research with Roberto Cipolla's Computer Vision & Robotics Group at Cambridge University as a Marshall Sherfield Fellow, and with Marc Pollefeys in ETH Zurich's CVG Group. His research explores how AI, particularly Computer Vision, can serve as 'super-tools' for professionals across various domains including filmmaking, architecture, robotics, and scientific research. Specific interests include assistive technology for everyday life, authoring systems that maximize user effort, 3D reconstruction, depth estimation, and vision-language models. His work often involves creating systems that are validated through real-world human interaction to ensure practical utility. Analysis of his recent publications reveals a strong focus on practical applications of Computer Vision that directly interact with humans. His research spans 3D scene understanding, depth estimation, sketch-based interfaces, and multimodal AI systems. There's a clear emphasis on creating benchmarks and tools that facilitate human-AI collaboration, with applications in assistive technology, urban planning, filmmaking, and biodiversity monitoring. His work frequently appears at top conferences including CVPR, NeurIPS, ECCV, and CHI. Marshall Sherfield Fellowship Brostow actively mentors PhD students, with current advisees including Ross Murphy, Skanda Koppula, Gizem Unlu, Omiros Pantazis, and Jamie Watson. His alumni include numerous PhD graduates and MSc students who have gone on to successful careers in academia and industry. He emphasizes selecting students based on passion and potential rather than just academic credentials, valuing traits like helpfulness, drive, and hunger to learn. His research is supported through collaborations with major institutions and companies including DeepMind, MIT, and the University of Edinburgh. He leads a research group at UCL that collaborates closely with Niantic's R&D team, creating a unique bridge between academic research and industry application. His team's work frequently involves developing novel Computer Vision techniques that are validated through real-world human interaction, ensuring practical utility alongside technical innovation. The group explores blue-sky research problems with applications ranging from assistive technology to professional tools for filmmakers, architects, and scientists studying diverse environments.

• Computer Vision
• Human-Computer Interaction
• Human-Centered AI
• +۶ مورد دیگر

Joydeep Biswas is an Associate Professor in the Computer Science Department at the University of Texas at Austin, where he serves as the Director of the Autonomous Mobile Robotics Laboratory (AMRL). He is also affiliated with Texas Robotics, the UT Machine Learning Laboratory, and UT Good Systems. Previously, he was an Assistant Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst. Dr. Biswas earned his PhD in Robotics from Carnegie Mellon University in 2014 and his B.Tech in Engineering Physics from the Indian Institute of Technology Bombay in 2008. His educational background has provided him with a strong foundation in both theoretical and applied aspects of robotics and artificial intelligence. Dr. Biswas's research focuses on enabling long-term autonomy for mobile robots operating in human environments. His work spans robot perception, motion planning, control systems, and AI, with the ultimate goal of creating self-sufficient autonomous mobile robots that can perform tasks accurately and robustly in real-world settings. He is particularly interested in perception, planning, and failure recovery for autonomous mobile robots, which supports his vision of having autonomous service mobile robots deployed at campus-to-city scale, both indoors and outdoors, performing assistive tasks over deployments spanning years. His IJCAI 2019 Early Career Spotlight talk summarizes much of his research to date and ongoing interests. His recent research has shown a strong trend toward social navigation, human-robot interaction, and the application of machine learning techniques to robotics problems. There's a clear progression from fundamental robotics research toward more complex, real-world applications that require robots to understand and navigate human social spaces effectively. His work increasingly integrates large language models and other advanced AI techniques with traditional robotics approaches, as evidenced by his recent publications on topics like preference-conditioned navigation, social navigation benchmarks, and instruction-following navigation systems. Dr. Biswas has received numerous prestigious awards including the NSF CAREER Award (2021), J.P. Morgan Faculty Research Award (2019), Amazon Research Award (2019), and a grant from Northrop Grumman Mission Systems (2018). These awards recognize his innovative contributions to the field of robotics and autonomous systems. As a dedicated educator and mentor, Dr. Biswas actively supervises PhD and master's students, with his PhD student Sadegh Rabiee winning the student poster award at the Northrop Grumman University Symposium 2019. He has secured significant grant funding from the National Science Foundation for projects including 'Introspective Perception and Planning for Long-Term Autonomy' and 'Interactive Synthesis and Repair For Robot Programs,' demonstrating his ability to secure competitive research funding and his commitment to advancing the field. Dr. Biswas leads the Autonomous Mobile Robotics Laboratory (AMRL), which serves as a hub for interdisciplinary research in mobile robotics. The lab has developed notable resources such as the UT Campus Object Dataset (CODA) for 3D perception research and SOCIALGYM, a framework for benchmarking social robot navigation. His team regularly deploys robots on the UT Austin campus and in urban environments to test and refine their approaches in realistic settings, bridging the gap between simulation and real-world application.

• Robotics
• Artificial Intelligence
• Long-term autonomy
• +۵ مورد دیگر

Dr. Ismail Guvenc is a Full Professor in the Department of Electrical and Computer Engineering at North Carolina State University. He holds an IEEE Fellowship and is a Senior Member of the U.S. National Academy of Inventors. His research focuses on 5G/6G wireless systems, UAV communications, heterogeneous networks, and spectrum management. He leads the NSF AERPAW project and serves as the NC State Site Director for the NSF BWAC I/UCRC center. Dr. Guvenc has authored/co-edited four books and holds over 30 U.S. patents. Education: Ph.D. in Electrical Engineering, University of South Florida (2006) Master's in Electrical and Computer Engineering, University of New Mexico (2003) Bachelor's in Electrical Engineering, Bilkent University, Turkey (2001) Research Interests: Dr. Guvenc’s work spans UAV communication systems, 5G/6G networks, spectrum sensing, and machine learning for network optimization. He emphasizes experimental validation through platforms like AERPAW, focusing on drone-based networks, radio dynamic zones, and testbed-driven innovation. His contributions address challenges in UAV localization, interference management, and energy-efficient networks. Grants & Leadership: PI and Director of NSF AERPAW (2019–Present) NC State Site Director for NSF BWAC I/UCRC (2019–Present) Recipient of NSF CAREER Award (2015) and NC State Faculty Scholar Award (2021) Publications & Awards: He has authored over 130 peer-reviewed papers and contributed to standardization efforts. His awards include the R. Ray Bennett Faculty Fellow Award (2019) and the USF Outstanding Dissertation Award (2006). Labs & Teams: Dr. Guvenc directs research in the ECE’s wireless communications group, leveraging AERPAW’s experimental capabilities to advance UAV networks and 6G technologies. His team collaborates with industry and government on spectrum policy and autonomous systems.

• Wireless Communications
• 5G/6G Networks
• UAV Networks
• +۶ مورد دیگر

Jennifer Minner is an Associate Professor in the Department of City and Regional Planning at Cornell University’s College of Architecture, Art, and Planning. She directs the Just Places Lab and is actively engaged in research on urban change, memory, and equitable development. Her affiliations span urban planning, regional science, and media studies, and she serves on the faculty advisory board of Cornell Cinema. Ph.D. in Community and Regional Planning, University of Texas at Austin M.U.R.P., Portland State University B.A. in Cultural Anthropology, University of Washington Her research centers on adaptive reuse, circular economies in cities, historic preservation, and social justice . She investigates how communities care for, preserve, and reimagine places through participatory planning and material reuse. Her work connects urban policy with climate action, embodied carbon, and the social legacies of mega-events such as the Olympics and World Expos. She uses spatial analytics, film, and community-based methods to explore equitable urban futures. Her recent publications reflect a strong trend toward environmental justice, circular construction, and urban memory . Topics include deconstruction policy, UAVs in preservation, and post-mega-event urban development. These works span disciplines including urban planning, sustainability, media studies, and public policy, with a consistent focus on equity and community engagement. Town and Gown Award (2024) for CR0WD network Climate Neutral Cities Alliance grant on embodied carbon and justice Atkinson Center Fast Grant for NYS circular construction policy NCPTT grant on reuse scenario planning with 3D modeling Mui Ho Center grant on scaling circular construction in NY Jennifer Minner mentors graduate and undergraduate researchers, co-founded the CR0WD network, and leads the CURTA-Y student club. She has secured multiple grants focused on deconstruction, policy design, and community engagement. Her teaching includes courses on circular cities, land use planning, and advanced planning theory, emphasizing participatory and justice-oriented methods. She leads the Just Places Lab , which fosters interdisciplinary research on urban care, memory, and equity. The lab collaborates with the Circular Construction Lab, Historic Ithaca, and community partners on exhibitions, walking tours, and policy initiatives. Projects like Deconstructing Demolition and Waste(d) Imagination Tour exemplify their community-engaged, creative approach to urban sustainability.

• Urban Planning
• Historic Preservation
• Circular Economy
• +۱۲ مورد دیگر

Associate Professor Mohsen Kalantari is a Geospatial Engineering academic at the University of New South Wales (UNSW) School of Civil and Environmental Engineering , with concurrent roles as co-founder of the startup Faramoon . His career spans roles at the University of Melbourne's Department of Infrastructure Engineering and Victorian government's land administration initiatives through DELWP. Education : PhD in Geomatics Engineering (2008, University of Melbourne), Master of GIS Engineering (2004), Bachelor of Surveying Engineering (2001) His research bridges geospatial engineering with construction automation , focusing on 3D cadastre , BIM-GIS integration , and smart cities . Recent publications show trends in underground land administration , digital twins , and LADM standard implementations . Scientific Awards : National educational recognition (2019), Victorian educational grants (2018), and prestigious fellowships (2012) As a supervisor , he guides PhD candidates in topics ranging from BIM for waste management to underground cadastral systems . His industry engagement includes partnerships with the United Nations , Open Geospatial Consortium , and Singapore Land Authority .

• Geospatial Engineering
• Construction Engineering
• Building Information Modelling (BIM)
• +۷ مورد دیگر

Fabio Miranda is an Assistant Professor at the Department of Computer Science, University of Illinois at Chicago (UIC) . His research bridges visualization , machine learning , data management , and computer graphics to enable interactive visual analysis of large-scale urban datasets . He has developed systems like UrbanRama (for VR navigation) and The Urban Toolkit (a grammar-based framework), which have been deployed in academia, industry, and government agencies. Education: Ph.D., Computer Science , New York University (2018) M.S., Computer Science , Pontifical Catholic University of Rio de Janeiro (2011) B.S., Computer Science , Federal University of Minas Gerais (2009) Research Interests center on urban visual analytics , 3D analytics , and machine learning for accessibility . His work addresses challenges like sunlight access , sidewalk quality assessment , and commuting flow modeling , often collaborating with urban planners, climate scientists, and occupational therapists. Scientific Recognition includes awards at IEEE VIS , SIBGRAPI , and SIGMOD . His research is funded by NSF , NIH , DOT , and DPI , with media coverage in The New York Times , The Economist , and Architectural Digest . Teaching includes courses like CS 524: Big Data Visualization and Analytics and CS 424: Visualization and Visual Analytics . He emphasizes web-based systems, dataflow frameworks, and interdisciplinary collaboration, with open positions for PhD , MSc , and undergraduate researchers .

• Visualization
• Data Management
• Machine Learning
• +۷ مورد دیگر