جستجوی استاد راهنمای دانشگاهی

Ming-Jun Lai is a Professor in the Department of Mathematics at the University of Georgia. His career spans decades, focusing on multivariate splines, sparse solutions of linear systems, wavelet theory, and their applications in numerical analysis and machine learning. Education: Lai received his Ph.D. from Texas A&M University and completed postdoctoral training at the University of Utah. He has supervised 22 Ph.D. students and two current Ph.D. candidates. Multivariate Splines: Applied to scattered data fitting, numerical PDE solutions, image enhancement, and surface design. Sparse Solutions: Used in compressed sensing, low-rank matrix recovery, and graph clustering. Wavelet Theory: Construction of biorthogonal and tight wavelet frames for image edge detection. Optimal Transport: Numerical solutions for Monge-Ampère equations. Research Trends (2025–2023): Recent work includes interpolating space curves with geometric continuity, spherical spline smoothing, and applications in machine learning, particularly graph clustering and optimal control in biological systems. Scientific Awards: UGA Research Medal (2002) McCay Award (2013) Advisees: Lai has mentored 24 Ph.D. students, including Zhaiming Shen (2024), Jinsil Lee (2023), and current students Valerio Palamra and Ye Tian. Laboratory & Collaborations: He collaborates with institutions like Georgia Tech, UCLA, and Zhejiang University, applying splines in aerospace engineering and biomedical imaging.

• Multivariate Splines
• Sparse Solutions of Underdetermined Linear Systems
• Wavelet Theory
• +۸ مورد دیگر

A. Kevin Tang is a Professor of Electrical and Computer Engineering (ECE) at Cornell University, affiliated with the School of ECE. His research focuses on computer networks, control systems, optimization, and information theory. He teaches advanced courses such as ECE 5800 (Control and Optimization of Information Networks) and ECE 6960 (Interplay between Economics and Systems). His work bridges theoretical foundations and practical network applications, including network coding, distributed control, and protocol design. Recent contributions address privacy-preserving data sharing, network routing stability, and optimization techniques for heterogeneous systems. Tang’s publications span top venues like NeurIPS, ICML, NSDI, and IEEE Transactions. His research group explores cutting-edge topics in networked systems, with applications to distributed storage, software-defined networking, and multipath communication protocols. He advises on interdisciplinary projects combining control theory, optimization, and networking. His lab collaborates closely with industry partners to translate theoretical insights into real-world network solutions.

• Computer Networks
• Control Systems
• Optimization
• +۳ مورد دیگر

Thomas Pock is a Professor of Computer Science at Graz University of Technology, holding the AIT Stiftungsprofessur for Mobile Computer Vision. He is affiliated with the Institute for Computer Graphics and Vision (ICG) within the Faculty of Computer Science and serves as a principal scientist at the Austrian Institute of Technology (AIT), Center for Vision, Automation & Control. He leads the Vision, Learning and Optimization (VLO) research group, which focuses on mathematical modeling and optimization in computer vision. His research interests lie at the intersection of computer vision, image processing, and mathematical optimization. Specifically, he develops mathematical models for computer vision and efficient convex and non-smooth optimization algorithms , particularly for mobile scenarios. His recent work increasingly integrates variational methods with deep learning, especially in solving inverse problems in imaging such as medical reconstruction and deblurring. The trends in his recent publications show a strong emphasis on deep learning for inverse problems , variational networks , and learned optimization . His group explores how to combine classical mathematical models with data-driven deep learning approaches to achieve stable, interpretable, and high-performance solutions in image reconstruction and processing. His scientific achievements have been recognized with several prestigious awards: START Prize, Austrian Science Fund (FWF), 2013 German Pattern Recognition Award, DAGM, 2013 ERC Starting Grant, European Research Council, 2014 Thomas Pock actively mentors students and leads a research group of 10 PhD students and 2 postdocs. He has secured significant research grants, including the ERC Starting Grant, which supports his foundational work. He is also engaged in scientific communication, giving invited talks at international venues such as SIAM and co-organizing the IMAGINE One World seminar series to foster global collaboration in imaging and inverse problems. He leads the Vision, Learning and Optimization (VLO) group at the Institute for Computer Graphics and Vision. The group develops mathematical models and efficient algorithms for computer vision and image processing, with a focus on mobile applications. The team includes multiple PhD students and postdoctoral researchers and has produced notable software and publications in top venues.

• Computer Vision
• Image Processing
• Mathematical Optimization
• +۷ مورد دیگر

Kevin Tang is a Professor in the School of Electrical and Computer Engineering at Cornell University, where he has been a faculty member since 2007. His research spans networks, control, optimization, and game theory, with a strong focus on the control and optimization of computer networks. He is affiliated with the Department of Electrical and Computer Engineering and leads a research group focused on information networks and systems. Ph.D., Electrical Engineering, California Institute of Technology, 2006 M.S., Electrical Engineering, California Institute of Technology, 2002 M.S., Electronics Engineering, Tsinghua University, 2001 B.E., Electronics Engineering, Tsinghua University, 1999 Professor Tang's research interests include networks, control theory, optimization theory, and game theory , with applications in computation systems, information theory, and decision systems. His work bridges theoretical foundations with practical implementations in networking and distributed systems. His recent publications show a strong trend in network optimization, privacy-preserving systems, and control of networked systems , appearing in top venues such as IEEE/ACM Transactions on Networking, SIAM Journal on Optimization, NeurIPS, and ICML. Themes include network coding, multipath transport, synchronization, and mathematical optimization for network performance. Notable scientific awards include: Presidential Early Career Award for Scientists and Engineers (PECASE), 2012 IBM Faculty Award, 2018 ACM Senior Member, 2019 First Place in AT&T SDN Network Design Challenge, 2016 Michael Tien '72 Excellence in Teaching Award, 2011 He has advised students such as J. Cheng and S. Tseng, and has been actively involved in research grants and projects related to networked systems and control. From 2016 to 2019, he served as Director of Graduate Studies for the ECE department at Cornell. His research group, accessible at networks.ece.cornell.edu , investigates the interplay between economics, control, and networking in modern distributed systems.

• Networks
• Control and Optimization of Computer Networks
• Control Theory
• +۸ مورد دیگر