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Wenzhong Li is a Professor at the School of Computer Science, Nanjing University, where he leads research at the State Key Laboratory for Novel Software and Technology. His academic career spans over 15 years with significant contributions to AI-empowered distributed systems, big data mining, and networking applications. He teaches Computer Networks and guides graduate students in Distributed Computing Research. Professor Li's research focuses on cutting-edge areas including AI-Empowered Distributed Systems and Applications (MultiModal Large Models, Embodied Intelligence, Edge Computing), Big Data Mining (Time Series Analysis, Graph Computing, Social Networks Analysis), and AI-Based Distributed Resource Scheduling. His work bridges theoretical foundations with practical implementations in real-world systems. His recent publications demonstrate a strong trend toward integrating deep learning with graph theory and time series analysis, with applications in human activity recognition, network optimization, and multimodal systems. The research spans multiple disciplines including artificial intelligence, computer vision, networking, and data mining, with a particular emphasis on practical implementations for real-world problems. Best Paper Runner Up at KSEM 2023 for 'Learning-based Dichotomy Graph Sketch for Summarizing Graph Streams with High Accuracy' Best Paper Award at APNet 2018 for 'Toward Effective and Fair RDMA Resource Sharing' Professor Li has advised numerous PhD and Master's students who have gone on to prominent positions at institutions like Nanjing University, Huawei, Alibaba, Microsoft, and various international universities. His research is supported by substantial grants from the National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, National Power Grid, and other major funding bodies, totaling multiple multi-year projects with significant budgets. He leads the AINet Group and is affiliated with the Sino-German Institute of Social Computing and MobileCloud research initiatives. His DISLAB provides the organizational framework for his research team, which includes dozens of graduate students and collaborators working on cutting-edge problems in AI, networking, and distributed systems.

• AI-Empowered Distributed Systems
• MultiModal Large Models
• Embodied Intelligence
• +9 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.

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

Dr. Xiong Yi is an Assistant Professor at the School of System Design and Intelligent Manufacturing (SDIM) at Southern University of Science and Technology (SUSTech) in Shenzhen, China. He leads the Computational Design and Fabrication (CoDeFab) research group, focusing on the integration of computational design methods with advanced manufacturing technologies, particularly in the field of additive manufacturing. Dr. Xiong has established himself as a leading researcher in computational design for additive manufacturing, with a strong international research background spanning Europe and Asia. Dr. Xiong's educational journey includes: Doctor of Science (DSc) in Engineering Design and Production from Aalto University, Finland (2012-2016) Master of Science (MSc) in Machine Automation from Tampere University of Technology, Finland (2010-2012) Bachelor of Engineering (BEng) in Mechanical Engineering from Hubei University of Technology, China (2006-2010) Dr. Xiong's research primarily focuses on computational design and fabrication methodologies, with particular emphasis on design for additive manufacturing (DfAM), intelligent manufacturing systems, and smart materials. His work bridges the gap between theoretical design principles and practical manufacturing constraints, developing novel approaches for the production of complex engineered products. He has pioneered research in continuous fiber-reinforced composite additive manufacturing, developing innovative process planning and optimization techniques that enable the production of high-performance structural components. His research in electrothermally controlled origami and 4D printing of smart materials represents cutting-edge work at the intersection of materials science, mechanical engineering, and computational design. Dr. Xiong's recent publications reveal a strong focus on continuous fiber-reinforced composites, with significant contributions to 4D printing, metamaterials, and intelligent process planning. His work integrates computational design with manufacturing constraints, creating novel approaches for topology optimization, toolpath planning, and structural design that consider both performance requirements and manufacturability limitations. The research demonstrates increasing sophistication in materials science applications, particularly in programmable materials and multi-functional structures. Dr. Xiong has received multiple prestigious awards for his research contributions, including: Best Presentation Award at the 24th Chinese Conference on Mechanisms and Machine Science (IFToMM CCMMS2024) Best Presentation Award at the International Conference on Frontiers of Additive Manufacturing Research (RAAM 2024) Best Paper Award at the International Conference on Design for 3D Printing (ICD3DP 2023) PhD Scholarship from Aalto University (2016) Research Travel Grant from the International Association for Vehicle System Dynamics (IAVSD) (2013) National Scholarship from the Ministry of Education (2008) As a dedicated educator and mentor, Dr. Xiong serves as a PhD supervisor at SUSTech and has successfully guided students who have gone on to pursue advanced studies and careers at prestigious institutions including Hong Kong Polytechnic University, Beihang University, DJI Innovations, and Singapore's A*STAR research institute. His research is supported by multiple competitive grants, including key projects from the National Key R&D Program of China, the National Natural Science Foundation of China, and provincial and municipal funding agencies. Dr. Xiong also serves on the editorial board of the Journal of Engineering Design and as a guest editor for Composites Communications, contributing to the advancement of his field through scholarly service. Dr. Xiong leads the CoDeFab research group, which maintains a strong collaborative culture focused on 'design leading manufacturing, manufacturing driving design, and digital-intelligent integration.' The group has developed several advanced manufacturing platforms, including multi-axis continuous fiber-reinforced composite additive manufacturing systems, smart composite additive manufacturing platforms, and multifunctional soft matter open manufacturing platforms. With a focus on practical applications and innovation, the CoDeFab group actively collaborates with industry partners and has established a joint laboratory to bridge academic research with industrial implementation.

• Computational Design and Fabrication
• Design for Additive Manufacturing
• Adaptive Process Planning
• +6 more

Cao Haishan is an Associate Professor at Tsinghua University, affiliated with the Department of Energy and Power Engineering in the School of Mechanical Engineering. His research focuses on cryogenic cooling systems, high heat flux thermal management, and the physics of amorphous ice formation and phase transitions. He leads a research group supported by the National Natural Science Foundation of China and industry partners including Huawei, Midea, and Lenovo. Ph.D., Mechanical Engineering, University of Twente, 2013 M.Sc., Chemical Engineering, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 2009 B.Sc., Chemical Engineering, Zhejiang University, 2006 Dr. Cao's research spans three major areas: cryogenic cooling (including micro cryocoolers and sorption systems), high heat flux electronic cooling (especially with non-condensable gases), and the formation and transformation of amorphous water ice. His work combines theoretical modeling, computational simulation, and experimental validation, often at micro and nano scales. He applies principles from thermodynamics, fluid dynamics, and materials science to solve engineering challenges in refrigeration and thermal control. The recent publications reflect a strong trend toward interdisciplinary research, integrating machine learning for heat transfer prediction, computational screening of MOFs for cryogenic switches, and fundamental studies of ice nucleation on various substrates. The articles span journals in physics, engineering, materials, and applied thermal sciences, indicating broad impact across multiple domains. Notable scientific awards include: Gustav and Ingrid Klipping Award (2016) Cryogenics Best Paper Award (2017) Annual Teaching Excellence Award, Tsinghua University (2023) Excellent Supervisor Award, Tsinghua University (2024) Multiple First Prize Advisor awards in national student contests on energy saving Dr. Cao has been principal investigator on several grants, including projects funded by the National Natural Science Foundation of China on amorphous ice lifetime and micro-cryocooling for semiconductor chips. He has also led industry-university collaborations with Huawei, Midea, and Lenovo. He advises graduate students and leads a research team focused on next-generation cooling technologies. He serves on editorial boards for Journal of Refrigeration , Vacuum and Cryogenics , and Energies , and has chaired sessions at major international conferences such as ICEC-ICMC and ACTS. His research group operates within the Institute of Thermophysics at Tsinghua University, leveraging facilities in the Lee Shau Kee Science and Technology Building. The team collaborates with national laboratories and international institutions, particularly maintaining ties with the University of Twente. Current efforts are directed toward ultra-low vibration cooling, efficient separation of non-condensable gases, and extending the stability of amorphous ice for cryobiological applications.

• Cryogenic Cooling
• Micro Cryocoolers
• Joule-Thomson Cooling
• +12 more

高建 (Gao Jian) is a Professor and doctoral supervisor at Tsinghua University's School of Economics and Management, where he also serves as Deputy Director of the Academic Committee and Director of the G20 Entrepreneurship Research Center. His prior leadership roles include Party Committee Secretary (2014–2019), Vice Dean (2012–2015), and Department Director. He holds visiting scholar credentials from Stanford University and MIT. Education: 2004: Visiting Scholar, Stanford University Graduate School of Management 2000: Visiting Scholar, MIT Sloan School of Management 1997: Visiting Scholar, MIT Sloan School of Management 1996: PhD, Tsinghua University Research Interests: Gao Jian specializes in venture capital, entrepreneurship, strategic management, and corporate transformation. His recent work explores G20 entrepreneurship policies, technology-driven ventures, sustainable business models, and digital innovation. His interdisciplinary approach integrates economics, psychology, and policy analysis to address global entrepreneurial challenges. Publications: His research spans empirical studies on entrepreneurial psychology, innovation ecosystems, venture financing, and policy impacts. Articles frequently analyze China's entrepreneurial landscape, emphasizing job creation, technology commercialization, and cross-border investment trends. Longitudinal and large-scale datasets underpin his work on startup success factors and ecosystem development. Awards & Honors: 2021–2020: Tsinghua SEM EMBA/Executive Education Teaching Excellence Awards 2020: National First-Class Undergraduate Course (co-led) 2019: Outstanding Master’s Thesis Supervisor 2018: National Education Award (Second Prize), Outstanding Doctoral Supervisor 2017: Beijing Education Award (First & Second Prize) 2014: Best Paper Award (China Strategy Forum) 2013: National Research Award (Third Prize) 2007: Ministry of Education ‘New Century Talent’ Teaching & Advising: He teaches courses across undergraduate, MBA, EMBA, and executive programs, including Entrepreneurial Management , Venture Capital , and Corporate Control . Recognized for mentoring excellence, he received Tsinghua’s Outstanding Thesis Supervisor awards (2018–2019) and led the design of nationally accredited curricula. Leadership: As Director of the G20 Entrepreneurship Research Center, he coordinates international policy analyses and promotes best practices in entrepreneurship ecosystems. The center’s outputs include comparative studies and global reports influencing G20 policy frameworks.

• Venture Capital
• Entrepreneurship
• Strategic Management
• +6 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 .

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

Professor Li Tian (b. 1982) is a full professor and PhD supervisor at the Department of Civil Engineering, School of Civil Engineering, Shandong University. He serves as Director of the Shandong Green Building Intelligent Construction Center and was selected into Shandong University's Youth Scholar Future Plan (2017-2022). His research focuses on seismic and wind resistance of civil infrastructure, with 38 SCI publications and 56 patents (26 inventions). Research Interests Structural Earthquake and Wind Resilience Vibration Control Systems Smart Material Applications Multi-hazard Structural Analysis Long-span Transmission Tower Dynamics Publications Overview His 15 most recent works (2018-2019) demonstrate expertise in seismic/wind vulnerability of power infrastructure, vibration control devices (particularly SMA-TMD systems), and multi-hazard structural analysis. Key contributions include probabilistic seismic demand modeling, bidirectional damping mechanisms, and collapse failure simulations. Scientific Awards Multiple Shandong Electric Power Science and Technology Progress Prizes (2018, 2015) Shandong University Teaching Awards (2017, 2012, 2014) National and Regional Academic Paper Prizes Academic Engagement He actively participates in structural engineering societies, serves on NSFC review panels, and acts as reviewer for over 30 journals including Engineering Structures and Earthquake Engineering and Engineering Vibration .

• Structural Engineering
• Earthquake Engineering
• Wind Engineering
• +4 more

Fei Chen is a Professor in the Department of Electronic and Electrical Engineering at Southern University of Science and Technology (SUSTech). With a PhD in Biomedical Engineering from The Chinese University of Hong Kong (2005), he has held academic positions including Associate Professor at SUSTech (2014-2020) and Research Assistant Professor at The University of Hong Kong (2012-2014). Education : PhD (Biomedical Engineering, CUHK), MPhil (Biomedical Engineering, Nanjing University), BSc (Microwave Physics, Nanjing University) His research focuses on speech perception , biomedical signal processing , and brain-computer interfaces , with applications in hearing assistance and neural engineering. His recent publications explore cortical auditory responses, frequency-compressed speech, and noise-robust intelligibility metrics. Dr. Chen is a Senior Member of IEEE , Full Member of the Acoustical Society of America , and recipient of the 2011 National Organization for Hearing Research Foundation Research Award (USA) and the 2015 Best Presentation Award at the Asia Pacific Conference of Speech, Language and Hearing.

• Speech Perception and Assistive Hearing Technology
• Brain-Computer Interface
• Biomedical Signal Processing
• +2 more

Dr. QUAN Chen is an Associate Professor at the School of Microelectronics, Southern University of Science and Technology (SUSTech), holding this position since May 2025 after serving as Assistant Professor (2019-2025) and Research Assistant Professor at the University of Hong Kong (2012-2018). A Shenzhen high-level overseas talent, he earned his PhD from the University of Hong Kong and conducts cutting-edge research in electronic design automation. His academic credentials include: Ph.D. from The University of Hong Kong (2010) Master's degree from The University of Hong Kong (2007) Bachelor's degree from Sun Yat-Sen University (2005) Dr. Chen's research pioneers advanced EDA algorithms for large-scale analog/RF circuit simulation, post-Moore multi-physics analysis, and AI-assisted design technologies. His work addresses critical challenges in nanodevice modeling and quantum computing circuits, resulting in over 50 publications in top venues like IEEE TCAD and DAC, plus four Chinese patents. Analysis of his recent publications reveals dominant trends in exponential integrator methods for transient simulation, model order reduction techniques, and physics-informed machine learning for reliability analysis. His work bridges numerical mathematics with practical EDA applications across analog circuits, quantum hardware, and emerging memory technologies. Key recognitions include: Wu Wenjun Artificial Intelligence Science and Technology Award, Second Prize (2020) ICCAD Best Paper Award Nomination (2012) Dr. Chen actively recruits Postdoctoral Fellows, Research Assistants, and Graduate Students while leading major funded projects including NSFC key/general programs and Guangdong Provincial R&D initiatives. His industry partnerships with Huawei, Empyrean, and Guowei Group translate theoretical advances into real-world EDA solutions. He directs a specialized research group at SUSTech focused on computational methods for next-generation circuit design, fostering innovation in simulation algorithms and multi-physics analysis through academic-industry collaboration.

• Electronic Design Automation (EDA)
• Analog/RF Circuit Simulation
• Multi-physics Analysis
• +2 more

Dr. Liang Xiuyu is an Assistant Professor (Associate Researcher) and doctoral supervisor at the School of Environmental Science and Engineering, Southern University of Science and Technology (SUSTech). He joined SUSTech in February 2018 and has been serving as Assistant Professor since January 2021. Prior to SUSTech, he was an Associate Researcher at Nanjing University's Center for Hydrosciences Research from 2015-2018. His academic journey includes a Ph.D. in Hydrology and Water Resources from Nanjing University (2009-2012), an M.S. in Geological Engineering from Anhui University of Science and Technology (2005-2008), and a B.S. in Resources and Environment from the same institution (2001-2005). Dr. Liang's educational background demonstrates a strong foundation in water resources and geological engineering. His research focuses on saturated-unsaturated water flow coupling simulation, surface-groundwater interaction, polluted gas intrusion simulation, and stochastic theory of groundwater flow and solute transport. He has published over 60 scientific papers, with more than 30 as first or corresponding author in leading journals including Water Resources Research, Environmental Science & Technology, and Water Research. His work addresses critical issues in groundwater resources and environmental protection, particularly the interfacial hydrodynamic processes between different water systems. Analysis of Dr. Liang's recent publications reveals a consistent focus on the fundamental mechanisms of groundwater flow and solute transport. His research demonstrates sophisticated analytical and numerical modeling approaches to understand complex hydrological processes, with particular emphasis on temporal scaling characteristics, coupled flow systems, and interactions between surface water and groundwater. The work spans theoretical developments, field applications, and practical solutions to environmental challenges. 2025 Shandong Science and Technology Progress Second Prize 2024 SUSTech Outstanding Doctoral Dissertation Supervisor Award 2024 SUSTech 8th Young Teacher Teaching Competition Second Prize 2024 SUSTech College of Engineering Outstanding Young Talent Cultivation Program 2023 SUSTech Admissions Advanced Individual 2022 Geological Science and Technology Bulletin Outstanding Young Editorial Board 2018 Shenzhen Overseas High-level Talents 2018 Shenzhen Nanshan Pilot Talent 2018 & 2016 Journal of Hydrology Outstanding Reviewer Dr. Liang has successfully led multiple research projects, including National Natural Science Foundation of China grants and national water pollution control projects. He serves as deputy editor for prestigious journals including Journal of Hydrology (2025-), Vadose Zone Journal (2020-), and Stochastic Environmental Research and Risk Assessment (2019-). His academic service extends to committee memberships with the Chinese Hydraulic Engineering Society and international organizations including the American Geophysical Union. Dr. Liang teaches undergraduate and graduate courses in groundwater hydrology and spatial statistics, contributing to the education of next-generation hydrologists. Dr. Liang maintains an active research group at SUSTech focused on groundwater resources and environmental protection. His team investigates critical issues including surface-groundwater interactions, unsaturated-saturated flow coupling, and gas migration processes in porous media. The research has practical applications for water resource management, pollution control, and environmental protection in China and globally.

• Saturated-unsaturated water flow coupling simulation
• Surface-groundwater interaction
• Polluted gas intrusion simulation
• +3 more

Mei Liu is an Associate Professor and Master Tutor at the Department of Civil Engineering, School of Civil Engineering, Shandong University. Her expertise spans structural mechanics, materials engineering, and construction technology, with a focus on aluminum alloy structures and steel-concrete composites. Her research integrates computational analysis with experimental validation to advance structural design methodologies. Research Focus: Dr. Liu's work centers on three primary domains: 1) Mechanical behavior of thin-walled aluminum alloy structures under compression, 2) Design innovations in steel-concrete composite systems, and 3) Implementation of Building Information Modeling (BIM) in structural design and construction processes. Her investigations address critical challenges in structural stability, buckling failure modes, and construction efficiency. Publication Trends: Her 15 most recent publications (2013-2017) demonstrate strong emphasis on: Buckling mechanics of aluminum alloy columns/beams under axial compression Experimental validation of structural failure modes in thin-walled systems BIM applications in construction project management and risk analysis Thermal effects on structural integrity during fire scenarios Educational & Professional Activities: As a Master Tutor, she advises graduate students in civil engineering research. Her collaborative projects include international conferences and industry partnerships, particularly in BIM education and construction technology integration.

• Structural Engineering
• Aluminum Alloy Structures
• Steel-Concrete Composites
• +3 more

Bo ZHANG is a Professor and Doctoral Supervisor at the Department of Engineering Mechanics, School of Civil Engineering, Shandong University. He holds a PhD in Engineering Mechanics and is a National Registered Structural Engineer. Education: MSc in Solid Mechanics (2006), PhD in Engineering Mechanics (2009), both from Shandong University Research Interests: Engineering Mechanics, Rock Mechanics, Hydraulic Fracturing, Underground Disaster Prevention, Structural Reinforcement, Vibration Control of Large Structures Awards: First prize of Shandong Technical Invention Award (2015, fourth author) Grants: 2 National Natural Science Foundation projects (2019, 2014), 1 Provincial project (2012), 1 Ministry of Education project (2012) His publications focus on hydraulic fracturing mechanisms, rock bolt reinforcement, cross-flaw material behavior, and structural vibration control. Over 40 papers in journals like International Journal of Geomechanics and Rock and Soil Mechanics , with 30+ SCI/EI-indexed. He led enterprise-funded projects valued at 30.08 million Yuan for limestone mine water control in Hejing.

• Engineering Mechanics
• Civil Engineering
• Rock Mechanics
• +3 more

Dr. Hou Chao is an Associate Professor and PhD Supervisor at the Department of Ocean Science and Engineering , Southern University of Science and Technology (SUSTech) since 2019. Previously, he held academic positions at the University of Sydney (2015-2019) and served as a lecturer there (2018-2019). He received his BEng (2009) and PhD (2014) in Structural Engineering from Tsinghua University , where he was recognized as an outstanding graduate and awarded the National Scholarship of China (2013). Research Interests focus on High-performance composite structures Sustainable marine engineering systems Load and marine environment coupling effects Modular construction technology Corrosion resistance in offshore structures Publication Trends reveal expertise in concrete-filled steel tubular (CFST) structures under extreme conditions. His work spans mechanical behavior analysis, fatigue assessment, and innovative connection design for modular buildings, with methodological focus on experimental testing, finite element modeling, and machine learning applications. Key sub-fields include localized corrosion effects, post-fire performance, and reliability-based design frameworks. Scientific Recognition : 2022 Ministry of Education Natural Science First Prize (3/5) China Patent Excellence Awards (2/2, 5/10) Inclusion in Stanford-Elsevier Top 2% Scientists (2023, 2024) Dean’s Outstanding Teaching Award, University of Sydney (2018) Editorial roles: Structures , Advances in Structural Engineering He has secured over 10 international research grants, including National Natural Science Foundation of China projects and Shenzhen Science & Technology Innovation Commission awards. His work is codified in 7 Chinese national standards, applied in critical infrastructure like the Wenchuan Kequ Bridge.

• High-Performance Composite Structures
• Sustainable Marine Engineering
• Structural Load and Corrosive Environment Coupling
• +3 more

Jing Zhicheng is an Associate Professor in the Department of Earth and Space Sciences at Southern University of Science and Technology (SUSTech), Shenzhen, China. He previously served as an Assistant Professor at Case Western Reserve University (2013-2018) and held a postdoctoral position at the University of Chicago's Center for Advanced Radiation Sources (2010-2013). His academic journey began with a B.S. (2000) and M.S. (2003) in Geophysics at Peking University, followed by a Ph.D. in Geology and Geophysics from Yale University (2010). Education B.S., Department of Geophysics, Peking University (1996-2000) M.S., Department of Geophysics, Peking University (2000-2003) Ph.D., Department of Geology and Geophysics, Yale University (2003-2010) Jing's research focuses on mineral physics and Earth/planetary interior physics , investigating physical/chemical properties of planetary materials under extreme conditions. His work combines high-pressure experiments using large-volume hydraulic presses and synchrotron X-ray facilities with theoretical approaches to study mantle/core materials. Key areas include deep volatile cycles (water/carbon), seismic velocity anomalies , and planetary evolution . His recent publications (2020-2023) demonstrate expertise in silicate melt characterization , Fe-alloy dynamics , and mantle mineral acoustics . Notable journals include Nature , Nature Communications , PNAS , and EPSL . He serves as Associate Editor for American Mineralogist and Frontiers in Earth Science: Earth and Planetary Materials , reflecting his leadership in peer-reviewed scholarship. Scientific Awards J. Clarence Karcher Award (2019) Major Geophysical Youth Science and Technology Awards (2019) Grants from NSF (US), NASA, and NSFC (China) Jing leads the Mineral Physics Laboratory at SUSTech, which houses advanced equipment like the laser heating platform and multianvil apparatus. He teaches ESS201 Introduction to Earth and Space Sciences and ESS321/ESS5031 Physics of Earth and Planetary Interiors , covering topics from planetary density equations to deep volatile transport.

• Mineral Physics
• Earth and Planetary Interiors
• High-Pressure and High-Temperature Experiments
• +2 more

Florian Bossmann is an Associate Professor at the College of Mathematics, Harbin Institute of Technology (HIT), specializing in Applied Signal Processing with a focus on algorithms and applications. His research encompasses inverse problems, greedy algorithms, sparsity, and compressed sensing, with applications in seismic exploration, ptychography, and video processing. He holds a PhD in Mathematics from the University of Göttingen (2013) and a Diplom in Mathematics from the University of Duisburg-Essen (2009). Current projects include NSFC-funded seismic data interpolation and a start-up grant for applied signal processing research. He teaches courses like 'Signal and Image Processing' and 'Calculus for Civil Engineering'. Supervising Master/PhD students in signal processing, he emphasizes collaboration and innovation. His lab, the ASP Group, explores cutting-edge methods in multidimensional data reconstruction and algorithm design. Prominent publications focus on impedance inversion, neural network applications in geoscience, and object reconstruction techniques. He has led collaborative research initiatives with institutions like the Fraunhofer Institute and the Helmholtz Center for Environmental Health.

• Applied Signal Processing
• Inverse Problems
• Greedy Algorithms
• +5 more