Find Academic Supervisors

• Neural Video Communication
• Smart Cameras
• Computational Vision Models
• +3 more

Zhan Ma is a Professor and PhD Advisor at the School of Electronic Science and Engineering, Nanjing University. He leads research in Neural Video Communication, Smart Cameras, and Computational Vision Models. His work focuses on end-to-end learning for compression, networking, and hardware-software co-design. Dr. Ma holds a PhD from New York University's Tandon School of Engineering (2010), and prior to his current role, he served as Senior Staff Researcher at Huawei (2013-2015) and Senior Researcher at Samsung (2011-2013). Research highlights include pioneering work in point cloud compression (adopted into IEEE standards) and dual-camera systems for high-resolution video acquisition. His algorithms are deployed in WeChat/WeChat Video for rate-quality optimization and in ISO standards for video complexity indicators. Recent work emphasizes machine learning-driven approaches for image/video compression and adaptive streaming frameworks. Honors include the 2023 IEEE CAS Society Outstanding Young Author Award and multiple best paper awards at IEEE WACV, BMSB, and other venues. He leads the Vision Lab at Nanjing University and collaborates with industry partners on practical implementations of his research.

Jianke ZhuView profile

Professor

• Computer Vision
• Machine Learning
• 3D Reconstruction
• +3 more

Jianke Zhu is a Professor at the College of Computer Science and Technology of Zhejiang University . He obtained his Ph.D. in Computer Science and Engineering from The Chinese University of Hong Kong and conducted postdoctoral research at the BIWI Computer Vision Lab, ETH Zurich . His research focuses on Computer Vision and Machine Learning , with a particular emphasis on 3D scene understanding, LiDAR-based mapping, and neural rendering. Dr. Zhu’s research spans several subfields, including 3D Reconstruction , Semantic Segmentation , Multimodal Learning , and Autonomous Driving . His work integrates Neural Networks , LiDAR Processing , and Uncertainty Quantification to address challenges in real-time and adverse conditions. Selected Recent Trends: 2025 publications highlight his work in Hexagonal Mesh-based Neural Rendering , Instance-aware 3D Scene Understanding , and Efficient Visual Projectors for Multimodal LLMs . Earlier works include Box2Mask for Instance Segmentation (2024) and Token Selection for Point Cloud Learning (2025). Scientific Awards : Senior member of the IEEE Advising and Grants : As a Doctoral Supervisor , he mentors students in advanced topics like LiDAR Odometry and Multi-view Stereo Recovery . His projects have attracted funding for autonomous driving , 3D scene modeling , and neural rendering .

• Social dynamics
• distributed estimation and calculation
• distributed control
• +2 more

Dr. Lili Wang serves as an Associate Professor at Southern University of Science and Technology (SUSTech), joining in May 2024 as an independent Principal Investigator and PhD advisor. Her research focuses on theoretical and applied control systems for intelligent sensor networks through interdisciplinary integration of control theory, optimization, and machine learning. Her academic foundation includes: PhD in Engineering and Applied Science from Yale University (2014-2020) Master's in Control Theory and Control Engineering from Zhejiang University (2011-2014) Bachelor's in Automation from Zhejiang University (2007-2011) Dr. Wang's research spans social dynamics , distributed estimation , distributed control , formation control for multi-agent systems , and distributed learning applications . Her work develops novel algorithms for networked control systems with applications in intelligent sensor networks and multi-robot coordination, emphasizing theoretical rigor and practical implementation. Analysis of her publications reveals consistent advancement in distributed observer design, formation control strategies, and consensus algorithms. Key trends include innovative applications of graph theory and spectral methods to multi-agent systems, with growing integration of learning techniques for adaptive control in uncertain environments. Her distinguished recognition includes: IEEE Senior Member (2024) Lillian Gilbreth Fellowships at Purdue University (2023) CPS Rising Star Award (2023) Henry Prentiss Becton Graduate Prize (2019) Zhang Siying Outstanding Paper Award (2012) As a PhD advisor at SUSTech, Dr. Wang mentors graduate researchers in control theory and its applications. She is currently founding COL-LABORATORY, a dedicated research team advancing control systems for intelligent sensor networks through interdisciplinary collaboration, with ongoing projects in distributed learning frameworks and robust multi-agent coordination.

• Animation
• Painting
• 2D Animation
• +3 more

Dr. Zhao Wenliang is a Lecturer and Master's Supervisor at the School of Art and Media, Tongji University , where he has taught animation since 2006. Specializes in 2D animation creation , murals , ink painting , and oil painting Author of three seminal publications (2010-2020) on animation techniques and Chinese contemporary art Active in academic exhibitions and collaborative research projects Education: MA in Animation, School of Fine Arts, Nanjing Normal University (2004-2007) Research Trends: Focuses on integrating traditional Chinese painting techniques with modern animation, particularly in visual storytelling , digital art , and expressionist aesthetics . His 2010-2020 publications and exhibitions demonstrate sustained exploration of CG techniques and cross-cultural artistic practices . Scientific Achievements: 2011-2022: Led 9 academic projects including Animation Motion Law Curriculum Development and Shanghai Cultural Brand Strategy Research 2013-2019: Participated in 5 national art exhibitions and 3 Shanghai academic initiatives Advising & Grants: Mentored students to win 2018 Shanghai Creative Culture Works Competition Secured funding for Media Integration Curriculum Research and Shanghai Electric Vehicle Sharing Project Studio Activities: Maintains active studio practice through solo exhibitions like Landscape Dreams: Oil Paintings by Zhao Wenliang (2014) and collaborative art-science projects with Tongji University's Media Experiment and Practice Teaching Center.

• Consumer Behavior
• Product and Service Experience
• Decision Science
• +3 more

Maggie Wenjing Liu is a tenured Associate Professor in the Department of Marketing at Tsinghua University's School of Economics and Management (SEM). She holds leadership roles as Associate Director of the Computational and Behavioral Science Lab and China Retail Research Center, and Chair of the Marketing Department's Academic Seminar Committee. Education: Ph.D. in Marketing, Rotman School of Management, University of Toronto M.S. in Marketing, NUS Business School, National University of Singapore Bachelor in Economics, University of International Business and Economics Research Focus: Her work centers on consumer behavior , product/service experience , decision science , and pricing , examining psychological mechanisms through experimental and analytical methods. Key themes include ritualistic consumption, AI-human interaction in marketing, visual branding effects, and cross-cultural service responses. Publication Trends: Recent work (2017-2025) appears in top journals like Production and Operations Management (UTD) and Journal of Consumer Psychology (FT50), revealing strong interdisciplinary connections between behavioral science, marketing strategy, and data-driven consumer insights with increasing focus on AI applications and crisis response. Scientific Awards: National Natural Science Foundation Youth Project Outstanding Evaluation (2017) National Natural Science Foundation General Project Outstanding Evaluation (2021) Tsinghua University teaching reform project Grade A (2020) Beijing Higher Education Young Elite Scholar Award Two-time Outstanding Expert Reviewer (Journal of Marketing Science) Society of Asian Retailing and Distribution Best Paper Award Advising & Grants: As a doctoral advisor, she mentors PhD candidates who frequently co-author publications. She secured three National Natural Science Foundation General Programs, one Youth Project, three provincial/ministerial grants, and multiple Tsinghua projects, with two NSFC projects rated Outstanding upon completion. Labs & Leadership: She co-directs Tsinghua SEM's Computational and Behavioral Science Lab and China Retail Research Center, driving research at the intersection of marketing analytics, consumer neuroscience, and retail innovation while serving on editorial boards for Marketing Letters and Journal of Business Research .

• Animation
• Animation Short Film Creation
• Health Communication
• +3 more

Liao Shasha serves as a Lecturer in the Department of Animation at Tongji University's School of Art and Media, where she has taught since 2007 while holding administrative roles as Secretary of the Animation Department and Director of the College Library. Her academic journey includes a Bachelor's in Computer Science from North China University of Technology (2002) and a Master's in Software Engineering from Peking University (2007). Her research centers on animation short film creation and health communication , with significant contributions to experimental animation pedagogy, 3D animation production, and the integration of traditional Chinese crafts like Diancui (kingfisher feather art) into contemporary art education. She has developed specialized courses including Animation Storyboarding, 3D Animation, and Traditional Art Design that emphasize hands-on learning and interdisciplinary approaches. Analysis of her 11 publications (2006-2022) reveals a clear trajectory toward educational applications of animation, particularly in health communication initiatives and digital preservation of intangible cultural heritage. Her work consistently bridges technical animation skills with social impact through projects like medical科普 (science popularization) and traditional craft revitalization. Liao Shasha's scholarly impact is reflected in numerous awards: 2005-2007: Multiple awards for animations 'Plant' and 'Injustice' including China Academy Award wins and DigiCon6+3 Gold 2018: 1st Prize at 'Guoqing Cup' for 'Kingfisher Phoenix Headwear' 2020: Tongji University Xincheng Award and dual 'Excellent Mentor' titles 2020-2022: Nine national teaching awards including NCDA 'Excellent Guidance Teacher' honors As an educator, she has secured eight principal-investigator teaching grants totaling over 500,000 RMB, including the 'Virtual Simulation Software for Digital Shadow Play Animation' project (2020). Her mentorship has guided students to 32 competition awards including the National Network Culture Festival Animation First Prize (2019). She actively contributes to Tongji's Media Experiment and Practice Teaching Center and Omnimedia Research Institute, developing innovative animation pedagogy that merges traditional craftsmanship with digital media.

Hai LinView profile

Professor

• Computer Graphics
• Scientific Visualization
• Volume Rendering
• +2 more

Hai Lin is a Professor at the State Key Lab of CAD&CG (Zhejiang University, China). His research spans computer graphics, scientific visualization, volume rendering, virtual reality, and graphical electromagnetic computing. He earned B.Eng and M.Eng degrees from Xidian University (1987, 1990) and a Ph.D. in Computer Science from Zhejiang University. Current Position: Professor, Zhejiang University (1990–Present) Research Fellow, Medical Visualization, De Montfort University (2000–2003) Visiting Professor, University of Bedfordshire Research Focus includes: Medical Imaging: AI-driven tumor segmentation (colorectal, liver), retinal disease classification (SatFormer), and mandible segmentation via LRVRG. Electromagnetic Computing: Shape deformation optimization, GPU-based wave propagation prediction, and scattering analysis. Scientific Visualization: Graph convolutional networks for volume data, voxel2vec representations, and dynamic network exploration. Collaborations involve PhD students (Huan Liu, Yiming Li, YanKai Jiang, Han Wang) and teams at Zhejiang University. His work integrates AI with electromagnetic and medical imaging domains, emphasizing GPU acceleration and novel algorithm design.

• Film and Television Special Effects
• Short Films and Advertising
• Artificial Intelligence
• +2 more

Fang Hongfeng is a Lecturer at the School of Art and Media, Tongji University, where he has been teaching film and television production since 2008. His expertise bridges creative media practices with emerging educational technologies. His academic background includes: Bachelor of Management in Information Management, Shanghai Maritime University (2000-2004) Master of Radio and Television Arts in Film Special Effects, Beijing Film Academy (2005-2008) His research critically examines visual effects in global cinema while pioneering AI-driven educational frameworks. Current work focuses on MOOC development and mobile-first pedagogy, analyzing how digital tools transform media production education. He investigates the artistic implications of AI in animation and advertising through both theoretical and hands-on approaches. Publication analysis reveals a clear trajectory from cinematic visual effects (2006-2015) toward education technology (2016-2018). His later works demonstrate increasing integration of artificial intelligence with traditional media production, particularly in MOOC development and mobile learning environments. This evolution reflects broader industry shifts toward tech-mediated creative education. Dr. Hongfeng has received significant recognition including: Multiple National and Shanghai Excellent Instructor awards for advertising competitions (2017-2018) Teaching Achievement Awards (Second Prize 2015, 2017; Third Prize 2017) Yutai and New City Teaching Awards (2016, 2018) Outstanding Internship Instructor designation (2011-2014) He directs student teams in national advertising competitions while leading university-funded pedagogical research: Principal Investigator: Mobile Internet Teaching Mode Study (2017-2018), Constructivist MOOC Production (2017-2018) Project Leader: Interdisciplinary Teaching Course Construction (2015-2016), Wei Xin Cinema development (2018) As Women's Trade Union Committee member and contributor to the Wei Xin Cinema project, he shapes institutional culture while mentoring students in film production and digital advertising campaigns.

• Design
• Design Learning
• Digital Environments
• +4 more

Professor Thomas KVAN serves as the founding Dean of the School of Design and Chair Professor at Southern University of Science and Technology (SUSTech) in Shenzhen, China. He previously held significant leadership positions including Pro-Vice-Chancellor for Campus and Global Development and Dean of the Faculty of Architecture, Building and Planning at the University of Melbourne, Dean of the Faculty of Architecture, Design and Planning at the University of Sydney, and Dean of the Faculty of Architecture at the University of Hong Kong. During his tenure at Melbourne, he established the Melbourne School of Design and founded major interdisciplinary research initiatives. Fellow of Computer-Aided Architectural Design Research in Asia (2005) Fellow of the Royal Institution of Chartered Surveyors (2005) Fellow of the Royal Society of the Arts (2021) 2022 Stanford Lifetime Scientific Impact Ranking of the Top 2% of Top Scientists Professor Kvan's research spans design theory, digital environments, and urban data infrastructure. His work focuses on innovative approaches to design education, virtual heritage preservation, and sustainable urban development through digital tools. He has pioneered methodologies for virtual design studios and collaborative design environments, bridging traditional architectural practice with computational approaches. His publication record demonstrates consistent contributions to architecture and urban studies, with recent work emphasizing sustainable urban systems and design pedagogy. The 2021 publication 'Teacher Transition Into Innovative Learning Environments' reflects his ongoing commitment to educational innovation, while the 2018 'Urban Galapagos' series addresses complex adaptive systems in urban contexts. Fellow of Computer-Aided Architectural Design Research in Asia (2005) Fellow of the Royal Institution of Chartered Surveyors (2005) Fellow of the Royal Society of the Arts (2021) 2022 Stanford Lifetime Scientific Impact Ranking of the Top 2% of Top Scientists Professor Kvan founded two major research networks: LEaRN (Learning Environments Applied Research Network) focusing on learning and architecture, and AURIN (Australian Urban Research Infrastructure Network) developing national urban data infrastructure. He has received numerous research grants supporting these initiatives and has advised on urban development projects across Asia-Pacific. His educational background includes a Ph.D. in architecture from Open University, MArch in Computer Applications in Architecture from UCLA, and BA from Cambridge University, providing a strong foundation for his interdisciplinary work.

Shangfei WangView profile

Professor

• Pattern Recognition
• Affective Computing
• Probabilistic Graphical Models
• +3 more

Shangfei Wang is a full Professor at the School of Computer Science and Technology, University of Science and Technology of China (USTC). His research focuses on pattern recognition, affective computing, and probabilistic graphical models, with significant contributions to facial expression analysis, emotion recognition, and multimodal human-robot interaction. He leads the Key Laboratory of Computing and Communication Software of Anhui Province and has received multiple international competition awards including placements in the OMG Empathy Prediction Challenge and Detecting Depression with AI Sub-Challenge. PhD in Computer Science, USTC (2002) MSc in Electronic Science and Technology, USTC (1999) BSc in Electronic Engineering, Anhui University (1996) His work combines domain knowledge with advanced machine learning techniques, including adversarial learning, dual learning, and multimodal deep regression Bayesian networks. Research themes include: Emotion-aware medical consultation systems Thermal image-based facial recognition Privileged information learning for emotion detection Spontaneous vs. posed expression differentiation EEG and physiological signal integration AI applications in mental health support Key projects include multiple National Nature Science Foundation of China grants and international collaborations with French institutions. He serves as Associate Editor for IEEE Trans. on Affective Computing and ACM Trans. on Multimedia Computing, and organized several international conference tracks.

Wei ChenView profile

Professor

• Data Visualization
• Visual Analytics
• Biomedical Image Computing
• +5 more

Wei Chen is a Professor at the State Key Laboratory of CAD&CG, College of Computer Science, Zhejiang University, Hangzhou, China. His academic journey began and ended at Zhejiang University, where he earned both his Bachelor's (1996) and Ph.D. (2002) in Computer Science, followed by a visiting Ph.D. position at the Fraunhofer Institute in Germany (2000-2002) and a visiting scholar role at Purdue University (2006-2008). Research Focus: Visualization, Visual Analytics, Biomedical Image Computing, Big Data Analytics. Academic Leadership: Served on editorial boards of journals like IEEE Transactions on Visualization and Computer Graphics, Journal of Visual Informatics, and as Chair of IEEE Pacific Visualization Symposium. Impact: Over 110 IEEE/ACM Transactions and CCF-A papers, four Chinese textbooks on visualization, and two monographs on big data technology. His recent publications (2023-2024) span domains like visual analytics for health insurance fraud detection, quantum circuit visualization, federated learning visualization, urban mobility modeling, and AI-enhanced cultural heritage preservation. A thematic trend shows integration of deep learning, large language models, and human-in-the-loop systems with visual interfaces. Scientific Awards include the Zhejiang Province Natural Science First Prize (2021, 2017), CCF Technology Invention First Prize (2020), Wu Wenjun Artificial Intelligence Science and Technology Progress First Prize (2023), and multiple Best Paper/Poster recognitions at IEEE VIS and Pacific Visualization conferences. He actively mentors graduate students and leads the Visual Analytics Group , contributing to national and international standards in visualization research. His editorial and organizational roles in top conferences further solidify his influence in shaping the field.

• Visual Communication Design
• Interaction Design
• Behavioral Research in Design
• +3 more

Cai Tao serves as an Associate Professor at Tongji University's School of Art and Media since 2002, specializing in visual communication and interaction design. His academic foundation includes a Master's degree with international training at Berlin's Weissensee University and the University of Westminster. Education: 2002: Graduated from School of Design, Jiangnan University 2003: Studied at Weissensee University, Berlin, Germany 2008: Studied at University of Westminster, UK Research Focus: Professor Cai's work centers on visual communication systems , human-computer interaction behavior , and creative industry frameworks . His methodology integrates behavioral law research with practical applications in advertising design and computer graphics, evidenced by major projects like the Shanghai World Expo commemorative materials. Current investigations explore cognitive patterns in interface design through experimental creative video production. Professional Practice: He leads high-impact design initiatives including Tongji University's centennial stamp series, Shanghai World Expo venue stamp albums, and Jing'an District's新能源exhibition hall. Teaching encompasses Visual Communication Design Theory, Advertising Project Development, and Creative Video Production within the university's media curriculum.