Find Academic Supervisors

• Intelligent imaging
• Animation games
• AIGC (Artificial Intelligence Generated Content)
• +2 more

Ma Xufeng is an Assistant Professor in the Animation Department at the School of Art and Media, Tongji University , Shanghai. She earned her PhD in Image Arts from Chung-Ang University, South Korea , and completed a postdoctoral fellowship at the School of Journalism and Communication, Tsinghua University . Her research bridges intelligent imaging, animation games, AIGC, new media art, and the metaverse , focusing on intelligent image production and dissemination, AI-driven art therapy, and serious games . Education: PhD in Image Arts, Chung-Ang University, South Korea (2018.09–2021.02) Master of Image Arts, Chung-Ang University, South Korea (2016.09–2018.06) Bachelor of Art Design (Animation), Zhongnan University of Economics and Law, China (2011.09–2015.07) Research Interests: Dr. Ma’s scholarship sits at the intersection of artificial intelligence, digital media, and therapeutic applications . She explores how AI-generated content (AIGC) can revolutionize animation, game design, and immersive storytelling . A second strand investigates serious games and VR systems for autism rehabilitation and emotional therapy , leveraging game psychology to craft interventions that blend aesthetics, technology, and mental health . Publications & Research Trends: Her most recent work (2021-2024) charts a trajectory from VR-based rehabilitation games to AI painting for art therapy , demonstrating a shift from interactive technology prototypes toward critical and aesthetic theories of AI art . Collectively, her publications map the evolution of intelligent media ecosystems and their societal impact. Scientific Awards & Grants: Principal Investigator, Korean BK21+ CFT Convergence Research Project – VR immersive game for autistic children (2020) Principal Investigator, Korean BK21+ CFT Convergence Research Project – Fitness-bicycle functional game (2019) Special Selection Award, Seoul International Animation & Cartoon Festival (2020) Nomination, Golden Kuker–Sofia International Animation Festival (2020) Teaching & Labs: At Tongji University, Dr. Ma contributes to undergraduate and postgraduate curricula in animation, new media art, and game design . She is affiliated with the Omnimedia Research Institute and the Media Experiment and Practice Teaching Center , where she guides students in AI-driven content creation and VR/AR prototyping .

• Human-Computer Interaction
• Design
• Interactive Systems
• +4 more

Pengcheng An is an Assistant Professor at the School of Innovation and Creative Design at Southern University of Science and Technology (SUSTech) in Shenzhen, China. His research sits at the intersection of Design and Human-Computer Interaction (HCI), focusing on the design and implications of intelligent interactive systems in everyday contexts such as smart classrooms, offices, and other learning environments. Education: Ph.D. in Industrial Design, Eindhoven University of Technology, Netherlands Postdoctoral Research, Eindhoven University of Technology Postdoctoral Research Fellow and Sessional Lecturer, School of Computer Science, University of Waterloo, Canada An's research interests center on creating interactive systems that enhance learning, education, and support for children, families, and underprivileged groups. His work explores how emerging technologies like IoT, intelligent systems, and multimodal interfaces can be seamlessly integrated into real-world settings to improve user experiences without disrupting natural workflows. He particularly focuses on peripheral and unobtrusive interaction techniques that support busy practitioners like teachers and healthcare workers. His publication record demonstrates consistent contributions to top-tier HCI venues, with a focus on educational technology applications, assistive systems, and novel interaction techniques. The research trajectory shows increasing sophistication in understanding real-world deployment challenges and developing solutions that respect existing workflows while providing meaningful augmentation. Scientific Awards: Best Paper Honorable Mention Award (ACM CHI) Reviewers' Choice Award (INTERACT) Red Dot Design Award: Best of the Best (twice) iF Design Talent Award An serves as an active member of the HCI community, having been Associate Chair for the "Learning, Education, and Family" track at ACM CHI since 2021. He has secured research funding including a National Social Science Fund Youth Project exploring AI technology in art therapy for special children. His service extends to reviewing for major conferences (CHI, DIS, TEI, IDC) and journals (Behavior & Information Technology, Experimental Results). His laboratory work focuses on real-world deployments of interactive systems, particularly in educational settings, where he collaborates with teachers and students to develop and evaluate technologies that support learning without disrupting classroom dynamics.

• Power Management IC Design
• Analog Integrated Circuits Design
• Integrated Power Electronics
• +4 more

Junmin Jiang serves as Associate Professor in the Department of Electronic and Electrical Engineering at Southern University of Science and Technology's College of Engineering since 2022, following promotion from Assistant Professor. He directs a research group focused on cutting-edge analog/power IC design with strong industry partnerships including Texas Instruments, Qualcomm, and Analog Devices. His educational background includes: Ph.D. in Electronic and Computer Engineering (2017), The Hong Kong University of Science and Technology Visiting Scholar (2015-2016), State Key Laboratory of AMSV, University of Macau B.Eng. in Electronic Information Engineering (2011), Zhejiang University Dr. Jiang's research centers on power management IC design with three interconnected thrusts: Power ICs for Specific Applications (e.g., audio/LiDAR drivers), Power ICs for AI systems, and AI-enhanced power IC design. His work achieves breakthroughs in switched-capacitor converters, delivering ultra-high efficiency (>97%), fast transient response ( His 15 most recent publications demonstrate consistent leadership in top venues (ISSCC/JSSC), showing accelerating impact in hybrid converter topologies, parasitic loss reduction, and AI-integrated power management. The trend reveals increasing industrial relevance with 8 U.S. patents and real-world implementations in audio/LiDAR systems. Scientific recognition includes: IEEE SSCS Pre-Doctoral Achievement Award (2017) National Overseas High-level Talent (Youth Project, 2022) SUSTech Outstanding Teaching Award (2024) Shenzhen Industrial Innovation Talent Award (2023) As an advisor, he mentors 8+ students including ISSCC awardees and competition winners. His group actively recruits undergraduates for chip design projects, with students winning top honors in National Electronic Design and Mathematical Modeling competitions. Current teaching includes graduate Nonlinear Circuits and undergraduate Microcomputer Principles. The Jiang Research Group maintains strong industry ties for student placements and collaborates with international institutions in the U.S., EU, and Macau. Lab capabilities focus on full-cycle IC design from simulation to tapeout, with recent 100V-output converters achieving 86.2% efficiency for acoustic applications.

• Hydrogeology
• Saturated-Unsaturated Flow
• Water-Gas Two-Phase Flow
• +3 more

Kuang Xingxing is an Associate Professor at the School of Environmental Science and Engineering, Southern University of Science and Technology . His research focuses on saturated-unsaturated flow, water-gas two-phase flow, solute transport modeling, and groundwater response to climate change. PhD in Hydrogeology (2012) from the University of Hong Kong M.Eng in Hydrology and Water Resources (2008) and B.Eng in Hydrology and Water Resources Engineering (2007) from China University of Geosciences (Beijing) His work improves parameter models for groundwater flow and solute transport, with studies published in leading journals like Water Resources Research and Geophysical Research Letters . He also investigates climate change impacts on Qinghai-Tibet Plateau groundwater systems. Recent publications highlight his contributions to two-phase flow mechanisms in aquifers, solute transport modeling in deltaic systems, and permeability-depth relationships in Earth’s crust. His research integrates laboratory experiments, numerical simulations, and field data. Scientific Awards : AXA Research Fund Post-Doctoral Fellowships (2014) Beijing Outstanding Graduate (2007) China University of Geosciences Outstanding Graduate (2007) SINOPEC Scholarship (2005) National Second Class Scholarship (2004) He serves as Associate Editor of Hydrogeology Journal and reviews for top journals. Teaching includes undergraduate courses in Hydraulics , Hydraulic Experiment , and Introduction to Earth Science .

• Nanoplasmonics
• Nano-optics
• Biochips
• +7 more

Li Yi is a Tenured Associate Professor at the School of Microelectronics, Southern University of Science and Technology (SUSTech) , with expertise in nanoplasmonics, nano-optics, and biochips. His career spans institutions including KU Leuven, Imperial College London, and Ludwig-Maximilians-Universität München. Education: Ph.D. (2015, KU Leuven & IMEC), M.S. (2010) and B.S. (2007) in Biomedical Engineering from Zhejiang University. Career: Associate Professor (2021–present) and Assistant Professor (2019–2020) at SUSTech; LMU Research Fellow (2018–2019); Research Associate (2015–2018) at Imperial College London. Research Interests focus on single-molecule biochips, DNA data storage, and nanopore sequencing. His work bridges nanotechnology with biomedical applications, including: Integrated circuit-compatible optical/electrical devices Computational lithography and nanoscale imaging Neural network training for biosensing Publications include >60 peer-reviewed articles with 25 H-index. His recent work emphasizes DNA-based data encryption, nanopore engineering, and portable biosensing systems. Key journals: Nature Communications, Nano Letters, ACS Nano. Scientific Awards : LMU Research Fellowship (Marie Curie COFUND) imec Excellent Scientific Award Shenzhen 'Peacock Plan' Category B Talent Outstanding Poster Award at Surface Plasmon Photonics 2017 Participation in Lindau Nobel Laureates Meeting (2019) Grants include Ministry of Science and Technology Key R&D Youth Program, NSFC General Program, and Guangdong Provincial Key Program. His lab develops: Fluidic nanopores for single-molecule sensing Optical antennas for enhanced detection Training programs in biochip design and nano-optics

• Single-cell Sequencing
• Long-read Sequencing
• Gene Expression Regulation
• +3 more

Yanping Long is a Research Associate Professor at Southern University of Science and Technology (SUSTech) in Shenzhen, China, affiliated with the School of Life Sciences and Department of Biology. She holds a PhD in Developmental Biology from the Institute of Genetics and Developmental Biology, Chinese Academy of Sciences (2015), and a B.S. in Biotechnology from Northwest Agriculture and Forestry University (2007). Her career includes positions as Research Assistant Professor at SUSTech (2019-2023) and postdoctoral research under Dr. Jixian Zhai. Her research integrates wet-lab and computational approaches to develop cutting-edge genomic technologies. Primary interests include: Single-cell sequencing for plant systems (e.g., FlsnRNA-seq) Long-read sequencing applications (e.g., FLEP-seq, Pore-C) Gene expression regulation focusing on RNA processing, epigenetics, and transcriptional dynamics Her publications (2019-2023) demonstrate a strong focus on developing novel genomic methods and applying them to plant systems. Key themes include single-cell transcriptomics, chromatin architecture, RNA processing dynamics, and epigenetic regulation in model plants (Arabidopsis, Medicago) and crops (soybean, rice). Awards: Outstanding Young Women Award, Chinese Society for Plant Biology (2022) She holds patents for genomic technologies including single-cell library construction and barcoded gel bead methodologies. No student advisees or grant details were mentioned in the source materials.

• Protein Design
• DNA Nanotechnology
• Bionanomaterials
• +3 more

Li Zhe is an Associate Professor and Doctoral Supervisor at the Department of Biomedical Engineering , Southern University of Science and Technology, since May 2024. He previously served as Assistant Professor at the same department from 2023 to 2024. His educational background includes a PhD in Analytical Chemistry from Purdue University (2019) under Prof. Chengde Mao, and a B.S. in Materials Chemistry from Peking University (2014). Research Focus: Protein design, DNA nanotechnology, bionanomaterials, and self-assembly Awards: 2023 National Natural Science Fund for Excellent Young Scientists (Overseas) 2019 Chinese Government Award for Outstanding Self-financed Students Abroad 2019 M.G. Mellon Award in Analytical Chemistry Publications: His 20+ works in high-impact journals like Science and Nature Materials emphasize computational protein design, DNA crystal engineering, and molecular actuation systems.

• Mechanism Design
• Auction Theory
• Behavioral Operations Management
• +3 more

Xiaoshuai Fan is an Associate Professor at the College of Business, Southern University of Science and Technology, where she has been affiliated since 2020. Her academic background includes a PhD in Industrial Engineering and Logistics Management from HKUST (2020) and a Bachelor's in Management from Huazhong University of Science and Technology (2015). Education: PhD (2020), Industrial Engineering and Logistics Management, Hong Kong University of Science and Technology Bachelor (2015), Management, Huazhong University of Science and Technology (Management Innovation Experimental Class) Her research focuses on Mechanism Design and Auction Theory under asymmetric information, with applications to Behavioral Operations Management , Sustainable Operations (particularly poverty, income inequality, and carbon emissions), and Supply Chain Management . Recent work explores pay transparency in behavioral economics, carbon emission control through price commitments, and anti-corruption strategies in procurement systems. The 15 most recent publications highlight trends in asymmetric information theory , collusion-resistant contract design , and equity-focused operations research . Key journals include Management Science , Production and Operations Management , and Manufacturing & Service Operations Management . She serves as a doctoral supervisor and has secured research funding from the NSFC Outstanding Young Scholars Program , NSFC Youth Program , and the Shenzhen Science and Technology Innovation Commission . Her lab actively recruits research assistants and postdocs, emphasizing interdisciplinary collaboration in economic, mathematical, and computational fields.

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 .

Xuehai QianView profile

Professor

• Computer Architecture
• Computer Systems
• Hardware Security
• +3 more

Xuehai Qian is a Tenured Full Professor in the Department of Computer Science at Tsinghua University since July 2024. Prior to this, he served as an Associate Professor at Purdue University (2022-2024), Assistant Professor at the University of Southern California (2015-2022), and Postdoctoral Researcher at the University of California Berkeley (2013-2015). Ph.D. in Computer Science, University of Illinois at Urbana-Champaign, USA (2013) ME in Computer Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences, China (2007) BE in Computer Science and Technology, Beihang University, China (2004) His research focuses on parallel computer architecture , hardware/software co-designed domain-specific architectures for graph analytics and machine learning , hardware security , and quantum computer architecture . He has pioneered scalable cache coherence protocols for atomic block execution, hardware sequential consistency violation detection, and distributed frameworks for graph processing leveraging emerging memory technologies. Xuehai Qian’s publications span computer architecture , graph analytics , machine learning systems , and quantum computing , with a strong emphasis on distributed systems , accelerators , and memory optimization . His work includes novel architectures for graph processing, decentralized training protocols, and ReRAM-based accelerators for deep learning. NSF CAREER Award (2018) ACSIC (American Chinese Scholar In Computing) Rising Star Award (2019) IEEE Senior Member (2019) Hall of Fame inductions: ASPLOS (2018), HPCA (2019), ISCA (2021), MICRO (2021) W.J. Poppelbaum Memorial Award (2013) He has advised students who have received Microsoft Research Lovelace Fellowships , Ph.D. Fellowships , and Facebook Fellowships . His research has been supported by grants such as the NSF SPX project on FPGA-based machine learning platforms and smaller NSF grants. Notably, he has served as an Associate Editor for Science China (Information Sciences) since 2023 and as a Guest Editor for IEEE Transactions on Parallel and Distributed Systems (2019).

Lei BuView profile

Professor

• Model Checking
• Bounded Model Checking
• Formal Methods
• +7 more

Lei Bu is a Professor and Vice Dean at the Software Institute , Nanjing University . He leads research in formal verification, cyber-physical systems, and software engineering, with a focus on bounded model checking and hybrid system analysis. B.Sc. and Ph.D. in Computer Science from Nanjing University (2004, 2010) Visiting student at Carnegie Mellon University and University of Texas at Dallas His research integrates formal methods and machine learning for verifying complex systems like IoT and software with real-time constraints. Key projects include BACH Toolset and BRICK for reachability analysis. Recent publications demonstrate expertise in hybrid system verification , cache side-channel detection , and parallel code analysis frameworks . His work bridges theoretical advancements with practical applications in safety-critical systems. Zhongchuang Software Talent Award (2023) CCF-IEEE CS Young Computer Scientist Award (2022) High-Tech Software Innovation Awards (2019-2023) As Principal Investigator, he leads major projects funded by National Science Foundation of China and Jiangsu Natural Science Foundation (2020-2027). Current tools include BACH for hybrid systems and MLB for Java symbolic execution.

Shaowei WangView profile

Professor

• Heat and mass transfer in porous media
• Fluid mechanics
• Mathematical methods in mechanics

Shaowei Wang is a Professor in the Department of Engineering Mechanics at the School of Civil Engineering, Shandong University, China. He holds a Ph.D. in Mathematics (2007) from Shandong University and completed post-doctoral research in fluid mechanics (2009) at Peking University. His research focuses on heat and mass transfer in porous media , fluid mechanics , and mathematical methods in mechanics . His recent publications highlight advancements in electro-osmotic flows, oscillatory non-Newtonian fluid dynamics, and stability analysis of bioconvection in porous media. Key themes include modeling viscoelastic fluids (Oldroyd-B, Maxwell), fractional calculus applications, and microchannel transport phenomena. First Prize in Natural Science of the Ministry of Education (2015) Second Prize of Natural Science Award of Shandong Province (2015) Du Qinghua Young Scholar Award (2016) Wang serves as Director of Shandong Society of Mechanics and editorial board member of multiple journals. His work bridges theoretical fluid dynamics with practical applications in microfluidics and geophysical systems.

Daohong QiuView profile

Associate Professor

• Geotechnical Engineering
• Underground Engineering
• Structural Health Monitoring
• +2 more

Daohong Qiu is an Associate Professor and Master Tutor at the Geotechnical and Structural Engineering Center, School of Civil Engineering, Shandong University. His research focuses on advanced geological prediction in tunnels, surrounding rock stability, structural health monitoring for urban rail transit, and TBM tunneling performance optimization. Position: Associate Professor Affiliation: School of Civil Engineering, Shandong University Email: qiudh@sdu.edu.cn Research Interests: He specializes in geotechnical engineering challenges related to underground construction, including rock burst prediction , disaster control , and machine learning applications in geological modeling. His work emphasizes integrating advanced computational methods like quantum genetic algorithms and RBF neural networks with field data to improve tunnel safety and efficiency. Publication Trends: His recent 2019 studies address subsea tunnel risk assessment , rock burst prediction in underground caverns, and machine learning-driven surrounding rock classification . Earlier works (2014-2015) explore SVM/GA-SVM for geological disaster forecasting, while pre-2010 papers focus on optimization theory and stress field analysis. Patent Contributions: He holds multiple invention patents for geological prediction devices, including three-dimensional geological network modeling , seismic signal detection , and concrete elevation control systems .

• Superconducting quantum computation
• Quantum simulation
• Quantum information processing
• +7 more

Yuanzhen Chen is an Associate Professor in the Department of Physics at Southern University of Science and Technology (SUSTech), where he has been working since 2015. His research focuses on experimental investigation of superconducting quantum computation and quantum simulation, aiming to advance quantum information processing using superconducting circuits. Chen's work contributes to the development of quantum technologies that leverage quantum superposition and entanglement for computational advantages over classical systems. His educational background includes: Ph.D. in Physics from University of Maryland (1998-2005) M.S. from Chinese Academy of Sciences, Institute of Semiconductors (1995-1998) B.S. from University of Electronic Science and Technology of China (1991-1995) Chen's research interests center on superconducting quantum systems. His team focuses on two main areas: developing superconducting quantum chips using Josephson-junction-based devices to build qubits and measurement apparatus, and implementing quantum computation and simulation on these chips. They explore geometric quantum computation, quantum automata, quantum few-body systems, and simulation of condensed matter physics models. Their work aims to address fundamental challenges in quantum computing, including error correction and scalability. Analysis of Chen's recent publications reveals a consistent focus on advancing superconducting quantum circuit technology. His research has progressed from fundamental quantum gate implementations toward more complex quantum systems including multi-qubit architectures and topological quantum phenomena. A notable trend is the increasing sophistication of quantum control techniques, with recent work exploring hybrid digital-analog approaches and noise-resilient quantum gates. Chen collaborates extensively with theoretical researchers, particularly with Man-Hong Yung, to bridge theory and experiment in quantum computing. His laboratory at SUSTech has developed capabilities in fabricating and measuring superconducting quantum devices, with research outputs published in high-impact journals including Physical Review Letters and npj Quantum Information. The research team operates within SUSTech's Department of Physics, part of the Faculty of Science. They maintain experimental facilities for superconducting quantum device fabrication and characterization, with current work focusing on advancing toward practical quantum computing applications and exploring fundamental quantum phenomena using controllable superconducting systems.

HUANG LiView profile

Associate Professor

• Quantum Materials
• Novel Energy Materials
• Phase Selectivity under Nonequilibrium Conditions
• +7 more

HUANG Li is an Associate Professor in the Department of Physics at Southern University of Science and Technology (SUSTech) , where she has been since September 2019. She joined SUSTech in February 2013 as an Assistant Professor, advancing to her current rank. Her research focuses on quantum materials , novel energy materials , nonequilibrium phase selectivity , and surface/interfacial phenomena using first-principles computational methods and theoretical models . Educational Background: Ph.D. in Physics, Fudan University (2006) M.Sc. in Physics, Xiangtan University (2002) B.A. in Physics, Xiangtan University (1999) Research Interests span quantum materials (e.g., Moire superconductors , topological insulators ), novel energy materials (e.g., thermoelectrics , supercapacitors ), and surface/interfacial dynamics. Her recent work emphasizes two-dimensional systems , spin-valley-layer coupling , and nonequilibrium phase transitions in van der Waals heterostructures and metal-organic frameworks . Publications highlight her expertise in ab initio molecular dynamics , density functional theory , and quantum transport . Key trends include Moiré engineering in twisted bilayers, strain-tunable magnetism , and ferroelectricity in layered materials. Scientific Awards and Grants include leadership roles in projects funded by the National Natural Science Foundation of China and Shenzhen Science & Technology Commission . Notable grants address quantum state control in Moiré superlattices , nonlinear Hall effects , and thermoelectric performance enhancement . Professional Experience: Postdoctoral Research Associate at Ames Laboratory (2008–2012) Joint Postdoc at Georgia Institute of Technology & Ames Laboratory (2006–2008) Visiting Scholar at Harvard University & Oak Ridge National Laboratory (2004–2006)