جستجوی استاد راهنمای دانشگاهی

Kris M. Kitani is an Associate Research Professor at the Robotics Institute of Carnegie Mellon University and a Research Scientist at Meta's Artificial Intelligence division. He co-directs the Extended Reality Technology Center (XRTC) at CMU and holds courtesy appointments in the Electrical and Computer Engineering Department at CMU and as a Guest Professor at the University of Tokyo's Institute of Industrial Science. Education : BS in Electrical Engineering (University of Southern California), MS and PhD in Computer Science (University of Tokyo) Labs : Cognitive Assistance Laboratory His research focuses on computer vision , human activity forecasting , and inverse reinforcement learning with applications in human-centered robotics and assistive technologies . Recent work explores 3D scene understanding , multi-modal sensing , and generative models for physical simulation . Publications analyze pedestrian interaction modeling , human pose estimation , and zero-shot learning for robotic applications. Scientific Awards : Marr Prize Honorable Mention, ICCV 2017 Best Paper Honorable Mentions at CHI 2017/2020 Best Papers at W4A 2017/2019 Best Application Paper, ACCV 2014 Kitani has advised 8 current PhD students and 18 past PhD/MSc students. He has taught graduate-level courses in Computer Vision and Statistical Techniques in Robotics since 2013. The lab develops autonomous systems for real-world perception and interactive decision-making.

• Computer Vision
• Human Activity Forecasting
• First-Person Vision
• +۹ مورد دیگر

Professor Chua Tat Seng is a distinguished academic at the National University of Singapore's School of Computing, serving as KITHCT Chair Professor and Director of the NUS-Tsinghua Extreme Search Center (NExT). He also holds Distinguished Visiting Professorships at Tsinghua and Zhejiang Universities in China. PhD in Computer Science (University of Leeds, 1983) Founding Dean of School of Computing (1998-2000) Co-founded ViSenze and 6Estates technology startups His research focuses on unstructured multimodal data analytics, with particular emphasis on multimedia information retrieval, social media analytics, recommendation systems, and trustworthy AI. He has pioneered work in computational wellness and fintech applications, establishing the Lab for Media Search and leading NExT++ research initiatives. Over 300 publications in leading venues (CVPR, SIGIR, WWW, AAAI) Recipient of ACM SIGMM Technical Achievement Award (2015) Supervised 37 PhD students since 2004 Editorial leadership in ACM Transactions and IEEE Multimedia Recent work explores multimodal LLMs, knowledge editing techniques (AlphaEdit), and 3D generation frameworks, reflecting his commitment to advancing web intelligence and user empowerment.

• Multimedia Information Retrieval
• Social Media Analytics
• Unstructured Multimodal Data Analytics
• +۴ مورد دیگر

M. Wright is an Associate Professor in Design and Computation Arts at Concordia University, specializing in typography, publication design, exhibition design, and feminist/queer histories. She co-founded the art and design collective AK/OK with Kate Jarboe, whose work has been exhibited globally and distributed by Printed Matter (NYC). Education : MFA in Visual Communication Design, School of the Art Institute of Chicago; AB in Comparative Literature, Princeton University. Her research explores intersections of design, archives, and participatory creation, with recognition from Type Directors Club, Print magazine, and AIGA 50 Books/50 Covers. Her book designs are held in permanent collections at the National Design Archives (US) and Columbia University’s Butler Library. Recent publications span diverse domains, including pediatric emergency care (neonatal resuscitation, ingested coins), trauma surgery (prehospital thoracotomy, surgical safety checklists), and developmental psychology (autism screening, theory of mind). These reflect interdisciplinary collaborations bridging design methodology with medical and social sciences. Scientific Awards : Type Directors Club recognition, Print magazine recognition, American Association of Museums recognition, New York Book Show recognition, AIGA 50 Books/50 Covers recognition. Teaching activities include graduate-level courses like DART 631/Special Topics in Visual Communication, emphasizing hands-on design thinking and social engagement. Her lab, AK/OK, focuses on archival practices and activist art through artists’ books and public interventions.

• typography
• publication design
• exhibition design
• +۸ مورد دیگر

Colleen M. Lewis is an Associate Professor of Computer Science at the University of Illinois Urbana-Champaign’s Siebel School of Computing and Data Science, part of the Grainger College of Engineering. She also holds a position as Teaching Faculty at the Race and Equity Center, USC Rossier School of Education. Lewis earned a B.S., M.S., and Ph.D. in Science and Mathematics Education from UC Berkeley. Her research focuses on removing barriers in CS education, optimizing learning processes, and broadening participation in computing. She curates CSTeachingTips.org , an NSF-sponsored resource for effective CS teaching practices. Lewis has received prestigious awards, including the NSF CAREER Award, NCWIT Undergraduate Mentoring Award, and AnitaB.org Emerging Leader Award. Recent work includes studies on microaggressions in CS classrooms, AI’s impact on plagiarism, and interventions to improve student retention. She teaches courses like Introductory Computing for Non-Tech Students and Inclusive Terminology in CS. Lewis actively contributes to national initiatives, such as leading a $5M NSF-funded AI research institute for STEM learning and co-PIing a $500K NSF grant analyzing CS education policy. Her efforts emphasize equity and inclusivity, with a focus on departmental policies, K-12 teacher support, and DEI committee practices. Lewis collaborates on projects like the Teaching Practices Game to train TAs in inclusive teaching strategies. Labs/Teams: CSTeachingTips.org, Siebel School’s CS Education Research Group, and the USC Race and Equity Center collaboration.

• Computer Science Education
• Educational Equity
• Broadening Participation in Computing
• +۳ مورد دیگر

Nicholas Makris is a Professor of Mechanical and Ocean Engineering at the Massachusetts Institute of Technology and Director of the Laboratory for Undersea Remote Sensing . His research spans acoustics, remote sensing, ocean ecology, and planetary exploration , with applications ranging from hurricane monitoring to violin acoustics. Education: 1983 BS in Physics, MIT 1990 PhD in Ocean Engineering, MIT Research Interests include expanding sensory limits through acoustic and optical wave propagation, imaging marine life with Ocean Acoustic Waveguide Remote Sensing (OAWRS), and applying statistical estimation to environmental sensing. His work bridges ocean engineering, planetary science, and musical instrument physics . Scientific Trends in his 15 most recent articles focus on marine ecosystem imaging via OAWRS, perception theory (Weber's Law), Europa ice shell analysis , and violin acoustic evolution . Methodologies emphasize wave propagation, statistical estimation, and nonlinear sensing techniques . Scientific Awards include the Secretary of the Navy/Chief of Naval Operations Scholar of Oceanographic Sciences William I. Koch Professor of Marine Technology Bose Research Fellowship Advising & Grants : While no student list is provided, his work involves mentoring through collaborative oceanographic expeditions and grants for OAWRS development and planetary acoustics . He has advised on UN Floating City programs and US fisheries policy .

• Acoustics
• Remote Sensing
• Ocean Engineering
• +۱۲ مورد دیگر

Dr. Michael Borck is a Lecturer at Curtin University, affiliated with the School of Management and Marketing within the Faculty of Business and Law. He holds a portfolio in the Office of the Provost and is based at the Curtin Perth campus in Room 720 of the Curtin Business School 1 building. His research focuses on computer vision, image processing, and mobile mapping data analysis, with publications in conferences like ICPRAM and IEEE Region 10 Symposium. Teaching areas span interdisciplinary fields including Business and Law, Science and Engineering, and Aboriginal Studies. His work emphasizes practical applications of sensor data and image engineering techniques. Research interests include feature extraction, object detection in 3D environments, and geospatial data analysis. Recent publications (2012–2014) highlight contributions to mobile mapping systems and sensor-based object localization. No scientific awards are listed, but his academic contributions align with Curtin’s commitment to innovation in applied sciences and cross-disciplinary education. While no specific grants or advisees are documented, his role in the Office of the Provost suggests involvement in institutional academic strategy. His teaching spans multiple faculties, reflecting a focus on integrating technical and social sciences in education.

• Computer Vision
• Image Processing
• Mobile Mapping Data
• +۴ مورد دیگر

Dr. Stuart James is an Assistant Professor in Visual Computing at Durham University's Department of Computer Science. His research focuses on Visual Reasoning, encompassing Iconography (e.g., sketches) to 3D Scene Understanding, with applications in Human Computer Interaction and Cultural Heritage. He is a co-Investigator on major EU projects like RePAIR (FET), DCitizens (Twinning), and BoSS (Lighthouse). Previously, he held postdoctoral roles at IIT, UCL, and the University of Surrey, where he earned his PhD in visual information retrieval for sketches. He also serves as an External Scientist at IIT, Honorary Research Associate at UCL/UCL Digital Humanities, and collaborates internationally with ITI/LARSyS. Key roles include organizing the Vision for Art (VISART) workshops and chairing the British Machine Vision Conference (BMVC 2021). Education: PhD in Visual Information Retrieval (University of Surrey), Postdocs at UCL and IIT Research interests span AI, computer vision, HCI, and digital humanities, with projects addressing cultural heritage digitization, inclusive storytelling, and robotics. Recent work includes developing tools like PaintBranch for collaborative VR art and RePAIR's dataset for 3D puzzle solving. His contributions bridge technical innovation and societal impact, such as using AI/AR to amplify marginalized narratives. Publications highlight advancements in 3D reconstruction, spatial reasoning, and AI-driven cultural heritage tools. Collaborations span academic and industrial sectors, with a focus on EU-funded interdisciplinary projects.

• Artificial Intelligence
• Computer Vision
• Human Computer Interaction
• +۵ مورد دیگر

Fei Shao is a Senior Lecturer in Mechanical and Manufacturing Engineering at the University of Derby, affiliated with the College of Science and Engineering. His research focuses on virtual engineering, product design, and human-machine interaction. Key areas include virtual assembly for aerospace applications, immersive virtual reality systems for design review, tactile sensation measurement, and biomimetic engineering. Shao's work spans over 15 years, with contributions to aerospace assembly optimization, human postural control in virtual environments, and the development of advanced tactile feedback systems. He is associated with the Virtual Engineering Centre, which explores multidisciplinary design optimization and prototyping. His research integrates mechanical engineering, neuroscience, and human factors to address challenges in manufacturing, healthcare, and product development. Notable projects include the creation of 1:1 scale virtual reality systems for automotive design and the analysis of osseointegration in prosthetic implants. His articles highlight trends in applying immersive technologies to industrial and medical contexts, emphasizing collaboration between disciplines. Shao has no listed scientific awards but maintains an active research portfolio with 57 total views of his outputs in the University of Derby Repository. His work often bridges theoretical engineering principles with practical industry applications, focusing on enhancing product quality, user experience, and safety through advanced simulation techniques.

• Virtual Assembly
• Aerospace Engineering
• Virtual Reality Applications
• +۴ مورد دیگر

Fatih Kurugollu is an Associate Lecturer in Cyber Security at the University of Derby's College of Science and Engineering. His research focuses on Cyber Security, Deep Learning, and IoT applications, particularly in vehicular networks and multimedia analysis. He has contributed to advancements in trust management for connected vehicles, blockchain integration in smart grids, and explainable AI frameworks. Research interests include cybersecurity for smart infrastructure, AI-driven biometric systems, and secure communication protocols. His work often bridges theoretical advancements with real-world applications in transportation and agriculture sectors. Recent publications highlight trends in gait recognition using deep learning, synthetic data labeling for violence detection, and probabilistic AI model interpretation. His interdisciplinary approach spans computer vision, network security, and IoT trust frameworks. Key contributions: Hybrid trust models for vehicle networks, encryption methodologies for smart grids, and blockchain-enabled UAV systems. No scientific awards are explicitly mentioned in the provided text. Advising and grant details are not detailed here. He has been actively involved in collaborative research projects with institutions globally, focusing on vehicular sensor networks and multimedia forensics.

• Cyber Security
• Deep Learning
• Vehicular Networks
• +۳ مورد دیگر

Konstantinos Parsopoulos is a Professor at the Department of Computer Science & Engineering, University of Ioannina. He holds a Dipl. Mathematics (1998) and M.Sc. in Mathematics of Computers and Decision Making (2000) from the University of Patras, where he also earned his Ph.D. in Intelligent Optimization (2005). Prior to his current role, he served as a Lecturer at the Department of Mathematics, University of Patras (2008–2009). His academic journey includes positions as Assistant Professor (2009–2016), Associate Professor (2016–2022), and Professor (since 2022) at the University of Ioannina. His research focuses on Numerical Optimization, Computational Intelligence (including Evolutionary Computation and Swarm Intelligence), and Computational Operations Research. These areas encompass the development and analysis of metaheuristics, algorithm portfolios, and optimization techniques for real-world applications such as logistics, financial forecasting, and engineering systems. His work emphasizes parallel computing strategies, reinforcement learning for parameter adaptation, and software tools like SOMO-VCB for stochastic optimization. Parsopoulos has contributed to diverse optimization challenges, including crowdshipping models, neural network-based differential equation solvers, and variance counterbalancing in stochastic systems. His publications span topics from theoretical algorithm design to practical implementations in MATLAB and distributed computing environments. Despite his extensive contributions, no scientific awards are explicitly mentioned in the provided texts. In terms of academic leadership, he has advised numerous students (though no names are listed) and has been involved in grants related to optimization software and algorithmic research. His collaborations extend to cross-disciplinary projects in visual sensor networks, traffic light optimization, and bioinformatics, reflecting the broad applicability of his optimization methodologies.

• Numerical Optimization
• Computational Intelligence
• Swarm Intelligence
• +۶ مورد دیگر

Bo Wang is an Assistant Professor of Computer and Information Science at The University of Mississippi. He holds a Ph.D. in Computer Science from the University of Utah (2015). His research focuses on computer vision, medical imaging, and machine learning, with particular emphasis on 3D modeling, human pose estimation, and image processing. He currently works in Weir Hall and can be reached at bwang3@olemiss.edu. Research interests include developing algorithms for occlusion-robust human pose estimation, hierarchical 3D modeling using octree structures, and medical imaging applications such as tumor localization and ultrasound tracking. His work integrates techniques like deep learning, domain adaptation, and contrastive learning to address challenges in computer vision and biomedical engineering. Recent publications highlight advancements in zero-shot human-object interaction detection, low-light pose estimation, and personalized 3D head modeling. His research trends emphasize interdisciplinary approaches combining computer vision with medical applications, particularly in radiotherapy guidance and anatomical modeling. Bo Wang has not listed any awards or grants in the provided materials. His academic contributions span over 30 publications since 2005, reflecting a sustained focus on advancing computational methods for medical imaging and 3D reconstruction.

• Computer Vision
• Medical Imaging
• Machine Learning
• +۳ مورد دیگر

Gregor Betz is a Professor of Philosophy of Science at the Karlsruhe Institute of Technology (KIT), where he leads the Institute for Philosophy. His work spans the philosophy of science, computational philosophy, and argumentation theory with applications to climate science, economics, and AI ethics. He has developed formal theories of argumentative debate and computational models that enhance critical thinking teaching. Education : M.A. in Philosophy, Political Sciences, and Mathematics (2002), Dr. phil (Ph.D.) in Philosophy (2004), Dr. habil. in Philosophy (2008) – all from Freie Universität Berlin His research focuses on the limits of scientific prediction (particularly in economics and climate science), the role of values in science, democratic scientific policy advice, and the ethics of climate engineering. Recently, he has pioneered computational philosophy projects using large language models since 2019. Gregor Betz’s publications and projects (like Argunet , Argdown , and the 2020 textbook Argumentationsanalyse ) have significantly impacted argumentation visualization and analysis. In 2023, he founded Logikon AI , a startup applying critical thinking methods to generative AI. His work on NLP and AI includes the first empirical studies of LLM argumentation skills, multi-agent debate simulations, and fallacy detection frameworks. Notably, his 2021 paper on Chain of Thought reasoning preceded similar approaches in GPT-3 by Wei et al.

• Philosophy of Science
• Computational Philosophy
• Argumentation Theory
• +۶ مورد دیگر

Ahmed Sabir is a postdoctoral researcher at the Institute of Computer Science , University of Tartu , focusing on AI Ethics (biases, fairness, and explainability in Large Language Models). He earned his Ph.D. in Computer Science from Universitat Politècnica de Catalunya (BarcelonaTech) in 2020 and an MSc from Kanagawa Institute of Technology under the Masuda AI lab. Current Research : Biases in LLMs, Explainable AI, Multimodal Fact-Checking Past Work : Gesture recognition, OCR correction via visual semantics, Image captioning Research Interests span Natural Language Processing , Computer Vision , and their intersection in Vision-Language Models and AI Ethics . His work emphasizes Context-aware multimodal learning Bias measurement and mitigation Efficient post-processing techniques Scientific Contributions include 15+ peer-reviewed publications at venues like ACL, EMNLP, CVPRW, and COLING, with datasets and re-ranking frameworks for vision-language tasks. Notable achievements: Driven advancements in semantic relatedness for OCR correction Developed visual grounding techniques for captioning Created benchmark datasets for text spotting Explored gender bias in genderless languages Technical Expertise includes Measurement electronics for industrial tools LaTeX thesis template development Participated in 48-hour Mobility Hackathon (2017)

• Natural Language Processing
• Computer Vision
• Machine Learning
• +۸ مورد دیگر

Samuel Guyer is an Adjunct Associate Professor in the Department of Computer Science at Tufts University. His research focuses on programming languages, compilers, program analysis, and runtime systems, with an emphasis on enhancing communication between runtime systems and programmers. He holds a Ph.D. and M.Sc. from the University of Texas at Austin. Education: Ph.D., Computer Science, University of Texas at Austin M.Sc., Computer Science, University of Texas at Austin Research Interests: Dr. Guyer explores techniques to improve software reliability, memory management, and runtime performance. Key areas include domain-specific programming languages, compiler optimizations, and tools for debugging memory managers. His work often addresses challenges in aviation software safety, garbage collection strategies, and object lifecycle analysis. Article Trends: Recent work emphasizes runtime systems analysis (e.g., Permchecker for memory managers, Iceberg for Java concurrency), visualization tools (Heapviz, Garbology), and safety-critical systems (avionics fault monitoring). His research bridges theoretical insights with practical tools for industry-relevant problems. Grants: CAREER: Cooperative Virtual Machines (NSF grant) SHF grants for garbage collection and runtime bug detection Labs/Teams: Collaborates on projects involving compiler infrastructure (e.g., C-Breeze), domain-specific compilers (Broadway), and runtime analysis frameworks. His work often intersects with industry needs for robust software systems.

• Programming Languages
• Program Analysis
• Software Reliability
• +۷ مورد دیگر

Jamee Elder is an Assistant Professor in the Department of Philosophy at Tufts University, with a research focus on the methodology and epistemology of large astrophysical experiments. She is affiliated with Harvard University’s Black Hole Initiative (BHI) and co-leads the Algorithms, Inference, and Visualization focus group within the Next Generation Event Horizon Telescope (ngEHT) Collaboration's HP&C Working Group. Education: Ph.D./M.A. in History and Philosophy of Science (University of Notre Dame) M.Phil. in Philosophy (University of Cambridge) B.A. (Hons)/B.Sc. in Philosophy (University of Canterbury) Her research examines how models and simulations are embedded in experimental methods, particularly in black hole observations via LIGO-Virgo and the Event Horizon Telescope. She explores the epistemic implications of these methods for inferring astrophysical systems. Teaching: Regularly teaches courses in Philosophy of Science and Philosophy of Technology at Tufts. Her courses emphasize critical analysis of scientific practices and technological impacts. Professional Experience: Postdoctoral Fellow, Harvard’s Black Hole Initiative (2020–2023) Heinrich Hertz Fellow, University of Bonn (2019–2020) Her work bridges philosophy of science with cutting-edge astrophysics, focusing on robustness, theory mediation, and collaborative scientific practices.

• Philosophy of Science
• Philosophy of Physics
• Astrophysics
• +۳ مورد دیگر