جست‌وجوی استاد و پژوهشگر

• Plant stress resistance physiology
• Molecular biology
• Plant cell signal transduction
• +۳ مورد دیگر

Professor Jiansheng Liang is a distinguished faculty member at Southern University of Science and Technology (SUSTech), where he serves in the Department of Biology within the School of Life Sciences. He joined SUSTech in 2012 after holding leadership positions at Yangzhou University, including Dean of the School of Life Sciences and Director of the Academic Affairs Office. At SUSTech, he has served as Director of the Teaching Affairs Department, Deputy Director of the Human Resources Department, and Party Secretary of the School of Life Sciences. He currently holds the position of Executive Deputy Director of the UNESCO Center for Innovation in Higher Education (Shenzhen, China). Dr. Liang received his Ph.D. from Hong Kong Baptist University in 1997. His academic journey has established him as a leading researcher in plant molecular biology, with recognition including a special government allowance from the State Council and the title of Shenzhen Overseas High-Level Talent. Professor Liang's research focuses on understanding plant responses to environmental stresses at the molecular level. His laboratory investigates calcium signaling pathways, hormone regulation, and cellular mechanisms that enable plants to adapt to challenging conditions. Through innovative approaches combining molecular genetics, cell biology, and physiological studies, his team has made significant contributions to understanding how plants sense and respond to water, salt, and temperature stresses. His work on RACK1 scaffold proteins has revealed novel mechanisms in brassinosteroid signaling and stress adaptation. His recent publications demonstrate a strong focus on calcium signaling, hormone transport, and stress response mechanisms in plants. The research spans from fundamental discoveries about protein interactions and cellular localization to applications in crop improvement. A notable trend is the increasing use of advanced imaging techniques to visualize hormone distribution and signaling dynamics in living plant cells. Special government allowance from the State Council Three ministerial and provincial-level science and technology progress awards Shenzhen Overseas High-Level Talent designation As a doctoral supervisor, Professor Liang has mentored numerous graduate students, contributing to the development of the next generation of plant scientists. His research has been supported by multiple competitive grants, including funding from the National Natural Science Foundation of China. He serves on the expert review panel for the Foundation and as an evaluation expert for national key laboratories, reflecting his standing in the scientific community. Professor Liang's laboratory maintains active collaborations with researchers both within China and internationally. His team combines expertise in molecular biology, genetics, and plant physiology to address fundamental questions about plant stress adaptation. Current research directions include elucidating novel signaling modules that integrate multiple environmental cues and hormone pathways to optimize plant growth under suboptimal conditions.

• Marine Magnetism
• Rock Magnetism
• Environmental Magnetism
• +۷ مورد دیگر

Professor LIU Qingsong is a Chair Professor at the Department of Marine Science and Engineering, College of Engineering, Southern University of Science and Technology (SUSTech). He holds the prestigious National Science Fund for Distinguished Young Scholars award and serves in multiple leadership roles including Party Secretary of his department. His academic journey spans institutions across China, the USA, and the UK, with significant contributions to the field of environmental magnetism and paleoclimate reconstruction. Education Ph.D. in Geology and Geophysics, University of Minnesota, USA (1999-2004) Ph.D. in Geophysics, Institute of Geophysics, Chinese Academy of Sciences (1996-1999) Master's in Applied Geophysics, China University of Geosciences (1993-1996) Bachelor's in Applied Geophysics, China University of Geosciences (1989-1993) Research Focus Professor Liu's research centers on geological applications of rock-, environmental-, and paleo-magnetism . His work investigates magnetic mineral properties across diverse geological settings, with particular focus on aeolian dust signals recorded in Chinese loess (reflecting Asian monsoon dynamics) and marine sediments from the North Pacific Ocean (related to westerly wind patterns). He has developed innovative approaches for constructing chronological frameworks for marine sediments and has made significant contributions to understanding striped magnetic anomalies in ocean floor sediments and paleoceanographic conditions of the North Pacific. His interdisciplinary approach integrates mineral magnetism with sedimentology, paleoclimatology, and geochronology. Scientific Recognition National Science Fund for Distinguished Young Scholars recipient Distinguished Professor of Ministry of Education Aoshan Distinguished Professor, Qingdao National Laboratory for Marine Science and Technology Distinguished Professor, Chinese Academy of Sciences (CAS) National Model Teacher (2019) Shenzhen National Leading Talent (2018) China 100 Distinguished Chinese Alumni Award from University of Minnesota Academic Leadership Professor Liu serves as Deputy Executive Director of the Paleomagnetic and Geochronology Laboratory at the Institute of Geology and Geophysics, CAS. He previously chaired the rock magnetism working group of the International Association of Geomagnetism and High Altitude (2011-2015) and directed the Sino-French Monsoon-Ocean-Climate Joint Laboratory. He has supervised numerous graduate students, with many receiving top academic awards including the CAS President's Special Award and Outstanding Doctoral Dissertation Award. His editorial service includes roles as Topic Editor for Frontiers and Guest Editor for Earth, Planets, and Spaces.

• Chinese Dialectology
• Phonology
• Linguistics
• +۴ مورد دیگر

Li Lan is a distinguished Chair Professor at Southern University of Science and Technology (SUSTech), serving as Director of the Language Competence and Language Recognition Center and President of Shuli Academy. Previously, he held significant positions at the Chinese Academy of Social Sciences, including Vice Director (2003-2012) and Director (2013-2016) of the Dialect Studies Program. His research interests span Chinese dialectology, phonology, dialect grammar, history of Chinese language, and international phonetic alphabet. Professor Li specializes in dialect survey methodology and has led numerous major research projects, including the "Demonstrative dialectal survey and research of the crucial dialectal regions in China" (2013-2019) and "The collection and digitalization of the dialectal data in local records" (2015-2020). His extensive publication record reveals a consistent focus on Chinese dialect classification, historical phonology, and linguistic documentation. His most recent work addresses critical issues in dialect preservation, phonological analysis, and language policy, with particular attention to regional variations across China's diverse linguistic landscape. Second Prize of Wang Li Linguistics Award from Peking University (2005) Wu Yuzhang Award for Excellence in Humanities and Social Sciences (2002) National Dictionary Award First Prize (2003) China Publishing Government Award nomination (2013) Professor Li actively mentors doctoral students and has served on the Academic Committee of the Chinese Academy of Social Sciences since 2015. His research has received substantial funding from National Social Sciences Grants and Chinese Academy of Social Sciences Innovation Projects. Beyond pure academic research, he has established significant connections between linguistic scholarship and practical language policy through his work with government bodies. His scholarly work is complemented by leadership in major research platforms including the Bulletin of Chinese Linguistics (as associate editor-in-chief since 2007) and various national dialect documentation initiatives.

• Neuroscience
• Machine Learning
• Control Theory
• +۴ مورد دیگر

Dr. LIU Quanying is an Associate Professor in the Department of Biomedical Engineering at the Southern University of Science and Technology (SUSTech), where she has been a faculty member since September 2019. She serves as the Principal Investigator of the Neural Computing and Control Laboratory (NCC lab) and is a doctoral supervisor. Prior to joining SUSTech, she earned her PhD in Biomedical Engineering from ETH Zurich and conducted postdoctoral research at Caltech. Education: PhD in Biomedical Engineering, ETH Zurich (2013-2017) Master in Computer Science, Lanzhou University (2010-2013) Bachelor in Electrical Engineering, Lanzhou University (2006-2010) Research Interests: Dr. Liu’s research integrates neuroscience, machine learning, and control theory. Her work focuses on multi-modal neural signal processing (EEG, sEEG, fMRI, DTI), explainable AI for neuroscience, and optimization techniques for neuromodulation (tES, TMS). She has developed high-density EEG source localization algorithms and data-driven brain network modeling frameworks, aiming to enhance precision in neural stimulation and control. Scientific Awards: The New Brain 30 (2023) AAIC Travel Award (2019) Estes Stars Award (2018) 深圳市孔雀人才计划C类 Laboratory and Team: As the PI of the NCC lab, Dr. Liu leads a team focused on machine learning algorithms, neurocomputational modeling, and neurofeedback control. The lab actively recruits graduate students, postdocs, and visiting researchers, emphasizing interdisciplinary collaboration in neuroscience and AI.

• Environmental Fluid Mechanics
• Eco-fluvial Dynamics
• Hyporheic Exchange
• +۳ مورد دیگر

Liu Yan is an Assistant Professor and Doctoral Supervisor at the School of Environmental Science and Engineering, Southern University of Science and Technology (SUSTech). He joined SUSTech in September 2022 after completing postdoctoral research at University College London (2020-2022) and Texas Tech University (2018-2020), and was selected as a High-Level Talent of Shenzhen. His educational background includes: Ph.D. in Hydraulic Engineering (Modeling Sediment Transport) from Tsinghua University (2017) Joint Ph.D. in Civil and Environmental Engineering from Cardiff University (2014-2015) B.S. in Hydraulic Engineering from Tsinghua University (2012) Liu Yan's research focuses on eco-fluvial dynamics, with particular emphasis on the interactions among turbulence structures, sediment transport, and benthic organisms in natural water bodies. His work spans environmental fluid mechanics, hyporheic exchange processes, and ecological river dynamics, employing advanced numerical simulations and experimental approaches to investigate complex phenomena at the interface of physical and biological processes. His recent publications demonstrate a strong interdisciplinary focus that bridges engineering, environmental science, and ecology. His research investigates how turbulence structures affect sediment transport and benthic organisms, how hyporheic exchange influences water quality, and how ecological processes impact river morphology. This work has significant implications for understanding and managing aquatic ecosystems, particularly in the context of environmental change and human impacts on river systems. His scientific achievements have been recognized with several awards: Shenzhen High-Level Talents (Level C) Excellent Graduate of Tsinghua University Excellent Graduate of Universities in Beijing IAHR-SHCS Best Report Award Liu Yan serves as a Doctoral Supervisor and Principal Investigator for multiple research projects. He has secured significant funding including a National Natural Science Foundation of China General Program (CNY 530,000), a Guangdong Provincial Offshore Wind Power Joint Fund project (CNY 300,000), and a Shenzhen Municipal General Project (CNY 300,000). He also participates as a sub-project leader in the Ministry of Science and Technology's Key R&D Program (CNY 14.6 million). He actively recruits postdoctoral researchers, PhD, and Master's students for his research group focused on environmental fluid mechanics and eco-fluvial dynamics. He serves on professional committees including the Sediment Professional Committee of the Chinese Hydraulic Engineering Society and the Marine Geo-disaster and Geo-environment Committee of the International Consortium on Geo-disaster Reduction, and is a Young Editorial Board Member for the International Journal of Sediment Research.

Guanhua Chenمشاهده پروفایل

استادیار

• Natural Language Processing (NLP)
• Large Language Models (LLMs)
• Applied Machine Learning
• +۴ مورد دیگر

Dr. Guanhua Chen is an Assistant Professor in the Department of Statistics and Data Science at Southern University of Science and Technology (SUSTech). His research focuses on Natural Language Processing (NLP), Large Language Models (LLMs), and Multimodal AI, with applications in drug discovery and urban planning. He previously earned his Ph.D. from the University of Hong Kong and B.S./M.S. from Tsinghua University, with internships at Microsoft Research Asia and Huawei Noah’s Ark Lab. Education: Ph.D. in Computer Science (University of Hong Kong, 2022), B.S. and M.S. in Computer Science (Tsinghua University, 2012 & 2014) Dr. Chen's research explores LLMs, data synthesis, multimodal systems, and model compression. He leads a lab equipped with 16 RTX 4090 GPUs, 16 L40 GPUs, and 4 A100 GPUs, providing resources for students to experiment with open-source and proprietary LLM APIs. His recent publications highlight innovations in LLM jailbreaking, parameter-efficient tuning (MiLoRA), cross-lingual transfer (mCLIP), and evaluation frameworks for robustness testing. Notably, he was awarded the Microsoft Research Asia StarTrack Scholar in 2025. Key Publications: mCLIP (ACL 2023), ImPart (ACL 2025), MiLoRA (NAACL 2025) Dr. Chen actively seeks motivated PostDoc, PhD, and Master's students. He serves as an Area Chair for ACL and EMNLP and contributes to advancing AI through open-source projects like mCLIP on GitHub.

• Quantum Optics
• Superconducting Quantum Computing
• Quantum Entanglement
• +۳ مورد دیگر

Xiaowei Deng is an Assistant Researcher at the Institute for Quantum Science and Engineering at Southern University of Science and Technology (SUSTech), China. His work focuses on quantum optics and superconducting quantum computing, particularly in the experimental analysis of continuous-variable quantum systems and entanglement structures. 2007-2011: B.S. in Optical Information Science and Technology, Shanxi University, China 2011-2017: Ph.D. in Quantum Optics, State Key Laboratory of Quantum Optics and Quantum Photonic Devices, Shanxi University, China Deng's research involves characterizing quantum entanglement in Gaussian states, studying the effects of lossy channels on quantum communication, and exploring multipartite entanglement in photonic systems. His work connects quantum metrology with entanglement criteria via squeezing coefficients and the Fisher information, revealing robustness of entanglement under noise and loss. His publications span topics such as Einstein-Podolsky-Rosen steering, Greenberger-Horne-Zeilinger states, and cluster-state quantum computation. Recent studies analyze multi-mode entanglement across partitions and demonstrate experimental techniques for preserving entanglement under correlated noise. National Scholarship for Doctoral Students (2016) Wang Daheng Optical Award (2017) President's Distinguished Postdoctoral Fellow, SUSTech (2017) Second Prize, National Conference on Quantum Optics (2016) Outstanding Graduate Student, Shanxi University (2017)

• RF/mm-Wave/THz Wireless Transceivers
• High-Speed SerDes
• PLLs/Frequency Synthesizers
• +۴ مورد دیگر

Xiaolong Liu serves as Assistant Professor at Southern University of Science and Technology's School of Microelectronics. His academic journey includes a Ph.D. from Hong Kong University of Science and Technology (2019), M.E. from Tsinghua University (2014), and B.E. from Beijing University of Aeronautics and Astronautics (2010). Prior to his current position, he worked as Staff Engineer at eTopus Technology in Silicon Valley (2019-2021) and completed a postdoc at HKUST. Ph.D. in Electronic and Computer Engineering, Hong Kong University of Science and Technology (2019) M.E. in Microelectronics, Tsinghua University (2014) B.E. in Electronic Engineering, Beijing University of Aeronautics and Astronautics (2010) Dr. Liu's research spans cutting-edge RF/mm-Wave/THz integrated circuit design, focusing on high-performance signal generators , ultra-wideband transceivers , and low-power frequency synthesis . His work addresses critical challenges in 5G/6G communications, terahertz spectroscopy, and high-speed wireline interfaces through innovative CMOS architectures. Technical emphases include varactor-less VCOs, harmonic enhancement techniques, and magnetic tuning mechanisms for millimeter-wave systems. His publication portfolio demonstrates consistent leadership in IEEE flagship journals/conferences (JSSC, TMTT, ISSCC, VLSI), with recent work advancing Class-F oscillators, sub-sampling PLLs, and sub-THz synthesizers. Notable trends include migration toward sub-THz frequencies (2023-2025) , multi-core oscillator architectures , and elimination of harmonic tuning for simplified design. IEEE VLSI Paper Technical Highlights (2019) IEEE CICC Invited Talk (2019) IEEE TVLSI 2023 Best Reviewer Award Top 4 Most Downloaded Paper in TCAS-II (July 2022) Dr. Liu actively mentors students through SUSTech's graduate programs, with advisees consistently earning university-level thesis awards and conference recognitions. His lab maintains strong industry ties through silicon validation and collaborates on cutting-edge tapeouts in 7nm/16nm nodes. Current projects focus on cryo-CMOS interfaces for quantum computing and ultra-wideband transceivers for 6G applications. His research group operates within SUSTech's state-of-the-art microelectronics facility, specializing in mm-Wave/THz characterization and high-speed SerDes validation. The team maintains partnerships with semiconductor foundries for advanced-node prototyping and collaborates with industry leaders on real-world implementation challenges.

• Quantum Computing
• Quantum Simulation
• Trapped Ion Systems

Dr. Yao Lu is an Associate Researcher and doctoral supervisor at the Institute for Quantum Science and Engineering, Southern University of Science and Technology (SUSTech). He specializes in quantum computing and simulation using trapped ion systems, with a focus on experimental realization and scaling of quantum platforms. His work has contributed to China's first small-scale programmable ion quantum computing system. PhD in Physics (2020), Tsinghua University Bachelor in Physics (2014), Peking University His research explores: Compact trapped ion quantum computing platforms Quantum error mitigation and fidelity optimization Many-body quantum simulations in noisy environments Modular quantum computation via ion-electron coupling His publications in Nature , Nature Physics , and Nature Communications demonstrate expertise in trapped ion quantum gate design, non-equilibrium thermodynamics, and phonon manipulation. Current projects include robust quantum control of multi-ion qubits (NSFC Young Scientists Fund) and fast ion qubit shuttling (Shenzhen Science and Technology Program). He leads the trapped ion quantum computing laboratory at Futian International Quantum Research Institute (Room 102) and actively recruits researchers for quantum science initiatives.

• Earthquake Physics
• Seismology
• Elastic Wave Propagation
• +۴ مورد دیگر

LUO Bin is an Assistant Professor in the Department of Ocean Science and Engineering at Southern University of Science and Technology (SUSTech), where he has been affiliated since 2022. He holds a Ph.D. in Geophysics from Texas A&M University (2018) and a B.S. in Geophysics from the University of Science and Technology of China (2013). Prior to his current position, he served as a Postdoctoral Scholar at Stanford University (2021-2022) and a Postdoctoral Fellow at Colorado School of Mines (2019-2021). Research Focus: Dr. Luo's research centers on earthquake physics and seismology, with specialized expertise in elastic wave propagation modeling, dynamic rupture simulation, and seismic cycle analysis. He pioneers applications of fiber-optic distributed acoustic sensing (DAS) technology for seismic monitoring in diverse environments including urban areas, submarine settings, and hydrocarbon reservoirs. His work integrates computational methods with field data analysis to advance understanding of seismic hazards and subsurface characterization. Publication Trends: His recent articles (2018-2022) demonstrate a strong focus on distributed acoustic sensing applications in microseismic monitoring, guided wave analysis, and seismic inversion techniques. Computational modeling of earthquake dynamics and fault mechanics constitutes another major thematic cluster, featuring advanced finite-element simulations of complex fault systems. Honors and Awards: 2022: Honorable Mention for Best Paper (Geophysics Journal) 2022: Top 25 Presenter at SEG Annual Meeting (IMAGE Conference) 2021: Honorable Mention for Best Paper (The Leading Edge) 2013: Departmental Fellowship (Texas A&M University) Professional Activities: Serves as peer reviewer for leading geophysics journals including Geophysics , Geophysical Research Letters , and Journal of Geophysical Research , contributing to scholarly quality control in seismology and exploration geophysics.

• Time delayed systems
• Cooperative control
• Infinite delayed systems
• +۴ مورد دیگر

Xiang Xu is an Associate Professor at the School of Automation and Intelligent Manufacturing, Southern University of Science and Technology (SUSTech) in Shenzhen, China. He joined SUSTech in December 2022 as an Associate Professor in the Department of Electronic and Electrical Engineering, following a postdoctoral fellowship at City University of Hong Kong from 2018 to 2021. His educational background includes: Ph.D. in Mechanical and Biomedical Engineering from City University of Hong Kong (2014-2018) Bachelor of Engineering in Automation from Nanjing University of Science and Technology (2010-2014) Xu's research focuses on advanced control theory, particularly addressing complex challenges in time-delayed systems. His work has significantly contributed to the understanding and control of systems with infinite delays, which are notoriously difficult to analyze and stabilize. He has developed novel Lyapunov-based methods and predictor feedback techniques that have extended the theoretical foundations of control theory for systems with unbounded delays. His research bridges theoretical advancements with practical applications in multi-agent systems, traffic control, and reinforcement learning. Xu has been recognized with several prestigious awards, including: National Science Fund for Excellent Young Scholars (Overseas) in 2022 Shenzhen Peacock Plan Class C in 2022 2023 All-Wheel Drive System Theory and Application Conference Outstanding Young Paper Award City University of Hong Kong Outstanding Doctoral Dissertation Award in 2018 Shortlisted for the 2018 Guan Zhaozhi Award Xu has mentored four Ph.D. students during his postdoctoral period, all of whom have published papers in top control journals. Two of his mentees have secured assistant professor positions at other universities. His research has attracted significant funding, including two RGC grants totaling over HK$1.7 million that his supervisor successfully applied for based on Xu's work. He is actively recruiting PhD students, postdoctoral fellows, and research assistants to continue his research in time-delay systems and multi-agent control. Xu leads a research group focused on control theory at SUSTech, with ongoing projects in multi-agent systems, time-delay systems, and partial differential equations. His team collaborates with leading researchers worldwide, including IEEE Fellow Miroslav Krstic from the University of California, San Diego. The research group provides comprehensive training for students and postdocs, with strong support for publishing in top-tier journals and attending international conferences.

Cheng Lemingمشاهده پروفایل

استاد

• Thermal Science Engineering
• Circulating Fluidized Bed (CFB) Theory and Technology
• Low Emission Gas Burner Theory and Technology
• +۴ مورد دیگر

Professor Cheng Leming is affiliated with the College of Energy Engineering at Zhejiang University, China . With a career spanning over three decades, he has held positions including Professor (2001–present) and Associate Professor (1999–2001). His research focuses on Thermal Science Engineering , particularly Circulating Fluidized Bed (CFB) Theory and Technology and Low Emission Gas Burner Theory . Education: Ph.D., 1996, Energy Engineering, Zhejiang University M.S., 1992, Energy Engineering, Zhejiang University B.S., 1987, Thermal Science and Engineering, Zhejiang University His work emphasizes combustion mechanisms , heat transfer modeling , desulfurization technology , and low-calorific gas utilization in CFB systems. Key projects include national R&D programs on CO2 control , supercritical CFB boilers , and Xinjiang Zhundong coal combustion . He has supervised Ph.D., M.S., and B.S. theses and collaborated on international projects in Canada, Japan, and Korea. Publications highlight CFB boiler thermal calculations , porous media combustion , and sorbent sulfur capture . He has contributed to standards committees and edited technical manuals, including Practical Scientific English Reading and Writing for Thermal Engineering and Circulating Fluidized Bed Boilers – Design and Operations .

Huang Ruiمشاهده پروفایل

پژوهشگر

• Vehicle Thermal Management
• New Energy Vehicles
• Dynamic Mechanical Structure Design
• +۲ مورد دیگر

Huang Rui is a Researcher and Master Tutor at Zhejiang University's College of Energy Engineering, where he serves as Laboratory Director of the Power Machinery & Vehicular Engineering Institute. He holds leadership roles in academic committees, including Deputy Secretary-General of the Society of Automotive Engineers of Zhejiang and the Zhejiang Technical Committee of New Energy Automobile Standardization. His research spans vehicle thermal management (including new energy vehicles), dynamic mechanical structure design simulation , and experimental technology. Key projects include thermal optimization for electric vehicles, engine reliability testing, and thermal management system innovations, funded by provincial and industrial partners. Recent publications focus on thermal systems, energy recovery, and mechanical reliability, with consistent themes in experimental validation and optimization for automotive and energy applications. His work advances heat transfer efficiency, battery safety, and sustainable energy integration. Awards & Honors: Second Prize, Provincial and Ministerial Scientific Progress Award First-class Prize, Provincial Teaching Achievement Award Multiple school-level teaching excellence recognitions As advisor to Zhejiang University's Qizhen Formula Racing Team, he led achievements in FSAE competitions (1st in lightweighting, 2nd in marketing). He teaches undergraduate/postgraduate courses including Automobile and Engine Professional Experiment and contributes to curriculum development through experimental teaching grants.

Feng Runhuanمشاهده پروفایل

استاد

• Risk Governance
• Pension Finance
• Commercial Insurance and Social Security
• +۱ مورد دیگر

Feng Runhuan serves as Chair Professor in the Department of Finance at Tsinghua University's School of Economics and Management, directing the China Insurance and Risk Management Research Center. Previously, he held tenured positions at the University of Illinois at Urbana-Champaign (where he was State Farm Group Chair and founded the Predictive Analytics Program) and the University of Wisconsin-Milwaukee. His academic credentials include: PhD in Actuarial Science, University of Waterloo Master's in Actuarial Mathematics, Concordia University Bachelor's in Economics, Nankai University School of Economics Bachelor's in Statistics, Nankai University School of Mathematical Sciences Feng's research spans four interconnected domains with global applicability. In Risk Governance, he designs multi-agent market mechanisms for climate change and pandemic mitigation. His Pension Finance work tackles aging-population challenges through investment strategies and longevity risk modeling. Commercial Insurance research innovates pricing models for variable annuities and universal life products, directly informing Illinois pension reform legislation. Fintech investigations pioneer blockchain token economics for securitization and delegated voting systems, bridging theoretical frameworks with industrial deployment. His accolades include: Institute of Actuaries Geoffrey Haywood Award University of Illinois Michael Korra Biomathematics Award Casualty Actuaries Society Best Research Award Global Association of Risk Professionals Best Paper Award Feng actively mentors through the Illinois Risk Lab he founded, providing cross-disciplinary risk management training to students while delivering industry consulting. His grant portfolio features Intel/Cisco-funded federated learning projects and Society of Actuaries commissions on actuarial standards. As Co-Chair of the Society of Actuaries' Research Committee, he shapes industry-wide risk assessment methodologies. He leads Tsinghua's China Insurance and Risk Management Research Center while directing the non-profit In2Sure Foundation, which accelerates distributed ledger technology adoption in financial risk management. His editorial leadership spans seven journals including founding editorship of Risk Sciences.