Heng-Guo Zhang | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Heng-Guo Zhang | Applied Mathematics | Best Researcher Award

Associate Professor at Shandong University, China

Dr. Heng-Guo Zhang 🎓 is an accomplished Associate Professor at Shandong University, China 🇨🇳, specializing in Big Data and Economic Finance 📊💰. With a Ph.D. in Applied Economics and a postdoctoral fellowship in Statistics from Fudan University, his academic foundation is both broad and deep. His research bridges economics, data science, and policy, focusing on news-driven financial risks, carbon market dynamics 🌱📈, and high-dimensional time series modeling. Dr. Zhang has authored over 11 peer-reviewed articles in SCI/SSCI journals and a 2024 monograph on financial risk evaluation using big data 📘🔍. His work addresses timely global challenges such as monetary policy frictions, COVID-19 response, and carbon policy uncertainty. Passionate about data-driven policymaking and economic modeling, Dr. Zhang is a forward-looking scholar making significant contributions to modern financial analytics and risk management 📉📑.

Professional Profile 

Scopus Profile

🎓 Education

Dr. Heng-Guo Zhang has a strong interdisciplinary academic background. He earned his Ph.D. in Applied Economics from Ocean University of China (2017) 🧮, followed by a postdoctoral fellowship in Statistics at the prestigious Fudan University (2019) 📊. Prior to this, he completed his M.S. in Information Science (2011) and B.S. in Library Science (2008) from Sun Yat-sen University 🏫. His diverse educational journey across economics, statistics, and information science forms a robust foundation for his current research in economic modeling, big data analytics, and financial forecasting 📈💻.

 🏛️ Professional Experience

Dr. Zhang currently serves as an Associate Professor at the Center for Economic Research, Shandong University (since 2019) 🏛️. In this role, he leads research and mentorship in finance, particularly focusing on big data applications and economic policy analysis. With over five years of academic service, he has built a solid reputation in both teaching and publishing. His experience also includes collaborative research with scholars worldwide 🌐, contributing to high-impact journals and presenting at global conferences. His professional trajectory reflects a balance between theoretical rigor and practical relevance in economics and finance 📚💼.

🔬 Research Interest

Dr. Zhang’s research revolves around Big Data and Economic Finance 📊💵. He is particularly interested in news-driven market behavior, carbon policy uncertainty, and high-dimensional time series forecasting. His work addresses pressing global financial questions using advanced statistical models and AI-driven tools 🧠📉. Topics such as non-performing loans, monetary policy frictions, and information friction in markets form the core of his investigations. His interdisciplinary lens blends data science with economic theory, enabling more accurate predictions and policy insights. Dr. Zhang is at the forefront of leveraging technology to deepen our understanding of modern financial systems 🌍🔍.

🏅 Awards and Honors

While detailed awards are not listed, Dr. Zhang’s publication record in high-impact journals (SCI/SSCI) 📰 and his authorship of a 2024 monograph demonstrate significant scholarly achievement 📘. His ability to produce impactful, peer-reviewed work and contribute to economic literature through innovative models highlights his academic distinction. Recognition through published books and journal invitations suggests respect from the global research community 🌎. Given his trajectory, Dr. Zhang is well-positioned for prestigious accolades in the near future 🏆.

🛠️ Research Skills

Dr. Zhang possesses a broad set of research skills in econometric modeling, time series analysis, and big data integration 📈🧮. He is proficient in statistical software and programming languages suitable for financial modeling and policy analysis 💻📊. His work frequently involves nonlinear models, sparse constraints, and AI-based forecasting, indicating a strong technical toolkit. His ability to convert raw data into actionable economic insights is evident in his consistent publication of complex empirical studies. These skills make him a valuable contributor to both academic and applied economics 🧑‍💼🔧.

Publications Top Note 📝

  • An Adaptive Evolutionary Causal Dynamic Factor Model
    • Authors: Wei Q., Zhang H. G.
    • Year: 2025
    • Source: Mathematics (SCI), 13(11):1891

  • How does news‑driven monetary policy frictions affect nonperforming loans? Taking Chinese commercial banks as an example
    • Authors: Zhang H. G., Wang S., Xie Y.
    • Year: 2025
    • Source: The North American Journal of Economics and Finance (SSCI), 76:102353

  • News‑driven bubbles in futures markets
    • Authors: Zhang H. G., Li T.
    • Year: 2023
    • Source: Journal of Energy Markets (SCI), 16(2):55–78

  • Does carbon policy uncertainty affect economic growth? Empirical evidence from enterprises’ industrial profits in China
    • Authors: Zhang H. G., Wenti Du, Yuchi Xie
    • Year: 2023
    • Source: Economic Computation & Economic Cybernetics Studies & Research (SSCI), 57(3):283–294

  • Faced with COVID‑19, should the government adopt a free treatment policy? Evidence from China
    • Authors: Zhang H. G.
    • Year: 2022
    • Source: Economic Computation & Economic Cybernetics Studies & Research (SSCI), 56(3):87–100

  • Dynamic measurement of news‑driven information friction in China’s carbon market: Theory and evidence
    • Authors: Zhang H. G., Tingting Cao, Li H., Xu T.
    • Year: 2021
    • Source: Energy Economics (SCI), 95:104994

  • High‑Dimensional Multiple Bubbles Prediction Based on Sparse Constraints
    • Authors: Zhang H. G., Wu L.
    • Year: 2019
    • Source: IEEE Access (SCI), 7:38356–38368

  • Can onshore spot market progress influence offshore NDF market development for the CNY?
    • Authors: Su C. W., Wang K. H., Zhang H. G., Nian R.
    • Year: 2019
    • Source: Economic Research – Ekonomska Istraživanja (SSCI), 32(1):1621–1644

  • An online sequential learning non‑parametric value‑at‑risk model for high‑dimensional time series
    • Authors: Zhang H. G., Wu L., Song Y., Su C. W., Wang Q., Su F.
    • Year: 2018
    • Source: Cognitive Computation (SCI), 10(2):187–200

  • Calculating Value‑at‑Risk for high‑dimensional time series using a nonlinear random mapping model
    • Authors: Zhang H. G., Su C. W., Song Y., Qiu S., Xiao R., Su F.
    • Year: 2017
    • Source: Economic Modelling (SSCI), 67:355–367

  • Is exchange rate stability beneficial for stabilizing consumer prices in China?
    • Authors: Su C. W., Zhang H. G., Chang H. L., Nian R.
    • Year: 2016
    • Source: The Journal of International Trade & Economic Development (SSCI), 25(6):857–879

✅ Conclusion

Dr. Heng-Guo Zhang is an emerging leader in the intersection of big data and economic finance 📈🌐. His solid academic background, strong publication record, and interdisciplinary research profile position him as a highly suitable candidate for the Best Researcher Award 🏅. His work tackles real-world problems using rigorous methodologies, contributing to both theoretical advancements and policy-making. To further strengthen his profile, increased global collaboration and award recognition could enhance his visibility. Overall, Dr. Zhang exemplifies innovation, impact, and dedication in the field of modern economics 📚💼.

Adel Wadiyan | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Adel Wadiyan | Applied Mathematics | Best Researcher Award

Associate Professor at Qassim University, Saudi Arabia

Dr. Adel Mefleh O. Widyan is a distinguished academic and researcher with a remarkable background in applied mathematics and mathematical modeling. With a deep expertise in computational methods, his work spans across various scientific and technological domains, solving complex real-world problems using innovative mathematical approaches. His contributions to optimization, data analysis, and mathematical modeling have earned him recognition in international research circles. 🌍📊 Dr. Widyan’s commitment to bridging the gap between theory and practical application is reflected in his numerous publications and collaborations with industry professionals. His work not only advances academic knowledge but also drives impactful change across sectors like engineering, finance, and technology. 📚💡 As an educator, he is dedicated to mentoring the next generation of mathematicians, fostering critical thinking, and encouraging interdisciplinary research. Dr. Widyan’s contributions continue to inspire and shape the future of mathematical science. 🚀🎓

Professional Profile

Google Scholar
Scopus Profile
ORCID Profile

Education 🎓📘

Dr. Adel Mefleh O. Widyan has an extensive academic background in mathematics 🎓, having completed his undergraduate studies in Mathematics before obtaining both his master’s and Ph.D. in Applied Mathematics. His doctoral research focused on computational methods and optimization algorithms, areas that have since shaped his contributions to both academia and industry. His education laid the groundwork for his impressive career and deep understanding of both theoretical and applied mathematics.

🏫 Professional Experience

Dr. Widyan has a diverse professional background, with significant experience in both academia 🏫 and industry 💼. Over the years, he has worked at several prestigious institutions, where he has led numerous research projects and mentored students. His experience extends beyond teaching, with substantial involvement in industry collaborations, where he applies his mathematical expertise to tackle real-world optimization challenges. His ability to combine theoretical knowledge with practical applications has made him highly regarded in his field.

🔢 Research Interests

Dr. Widyan’s research interests primarily focus on applied mathematics 📊, particularly in computational optimization, data analysis 📉, and mathematical modeling 🔢. His work revolves around developing algorithms to address complex issues in fields like engineering ⚙️, economics 💰, and technology 📱. His interdisciplinary approach to mathematics ensures that his research not only advances the field but also provides valuable solutions to practical challenges across various industries.

🏆 Awards and Honors

Throughout his career, Dr. Widyan has been honored with several awards 🏆 that recognize his exceptional contributions to the field of applied mathematics. These accolades reflect his groundbreaking work in mathematical research, particularly in the areas of optimization and computational methods. His dedication to advancing the field has earned him widespread respect among his peers and continues to inspire emerging researchers in mathematics.

🌍 Conclusion

Dr. Adel Mefleh O. Widyan’s career is a testament to his expertise and commitment to the field of applied mathematics 📚. Through his research, teaching, and industry collaborations, he has made significant contributions that have had a lasting impact 🌍 on both academic circles and the wider world. His ability to bridge theoretical knowledge with practical applications ensures that his work will continue to influence the future of mathematics 🔮.

Publications Top Notes

🩺 Effect of Bariatric Surgery on Cardiac Function in Obese Patients: An Echocardiographic Assessment

  • Authors: Mansur S. Alqunai, Bandar S. Assakran, Adel M. Widyan, Annie Suresh, …

  • Year: 2022

  • Citations: 3

  • Source: Saudi Medical Journal 43 (6), 587-591
    This study evaluates how bariatric surgery impacts cardiac function in obese patients, using echocardiography to monitor post-surgery recovery.

🔢 Obtaining the Efficient Solutions for Multicriterion Programming Problems with Stochastic Parameters

  • Authors: A Widyan

  • Year: 2016

  • Citations: 3

  • Source: Journal of Qassim University for Science 9 (1), 17-25
    This article delves into stochastic multicriterion programming, focusing on optimal solutions in uncertain decision-making environments.

📈 Determining the Efficient Solutions for Bicriteria Programming Problems with Random Variables in Both the Objective Functions and the Constraints

  • Authors: BI Bayoumi, AA El-Sawy, NL Baseley, IK Yousef, AM Widyan

  • Year: 2005

  • Citations: 3

  • Source: Journal of the Korean Society for Industrial and Applied Mathematics 9 (1)
    This publication examines bicriteria programming problems, providing solutions under uncertainty in both objective functions and constraints.

🔥 Physicians-Based Emergency Medical Services for the Management of Burn Injuries in Trauma Centers of the Center Region of Saudi Arabia: Evaluation of Physicians’ Knowledge and …

  • Authors: HT Alhomaidan, Z Rasheed, MM Alsudais, AM AlMutairi, KA Alzaben, …

  • Year: 2021

  • Citations: 2

  • Source: International Journal of Burns and Trauma 11 (3), 184
    A critical evaluation of emergency medical services for burn injuries in Saudi Arabia, focusing on the knowledge and preparedness of healthcare providers.

⚙️ Decomposition the Parametric Space in Stochastic Multiobjective Programming Problem

  • Authors: AM Widyan

  • Year: 2017

  • Citations: 2

  • Source: Journal of Global Research in Mathematical Archives 4 (2)
    A study on stochastic multiobjective programming, proposing methods for decomposition and efficient solution derivation.

💊 Knowledge, Attitudes, and Practices (KAP) of Medical University Students Towards Vitamin D Deficiency in Saudi Arabia: A Cross-Sectional Study

  • Authors: A Elghazaly, A Widyan, S Alsahali, M Alshammari, M Farooqui, …

  • Year: 2024

  • Citations: 1

  • Source: Journal of Pharmaceutical Policy and Practice 17 (1), 2381699
    This study investigates the knowledge, attitudes, and practices of medical students regarding vitamin D deficiency, highlighting educational needs.

📉 On Modeling and Forecasting the Stock Risk Using a New Statistical Distribution and Time Series Models

  • Authors: HA Lelin Yan, Weihong Zhou, Omalsad Hamood Odhah, Adel M. Widyan, Hamiden …

  • Year: 2025

  • Source: Alexandria Engineering Journal 122 (1), 65-76
    This paper introduces novel methods for stock risk modeling, combining statistical distributions and time series models to enhance forecasting accuracy.

🏙️ A Novel Complex (P, Q, R)-Spherical Fuzzy TOPSIS Framework for Sustainable Urban Development Assessment

  • Authors: M Rahim, SZ Khan, AM Widyan, A Almutairi, HAEW Khalifa

  • Year: 2025

  • Source: Expert Systems with Applications, 127288
    This publication presents a fuzzy TOPSIS approach to evaluate sustainable urban development, incorporating multiple criteria to support decision-making.

📊 A New Probabilistic Approach for Data Modeling in Practical Scenarios: Considering Reliability Data with Computer Knowledge Graphs

  • Authors: HAEWK Jianping Zhu, Xuxun Cai, Omalsad Hamood Odhah, Haifa Alqahtani, Adel M. Widyan

  • Year: 2025

  • Source: Alexandria Engineering Journal 120, 475-486
    This paper proposes a probabilistic data modeling technique, incorporating computer knowledge graphs to improve the analysis of reliability data.

💻 Impact of Thermal Radiations and Viscous Dissipation During the Boundary Layer Non‐Newtonian Fluid Flow Past a Slender Needle: Probed by Machine Learning

  • Authors: H Yao, A Ullah, Ikramullah, AM Widyan, A Althobaiti, HAEW Khalifa

  • Year: 2025

  • Source: ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte …
    This article investigates the effects of thermal radiations and viscous dissipation in non-Newtonian fluid flow, with the aid of machine learning algorithms.

📖 Effects of Ramadan Fasting on the Symptoms of Chronic Heart Failure

  • Authors: RM Abazid, HH Khalaf, HI Sakr, NA Altorbak, HS Alenzi, ZM Awad, …

  • Year: 2018

  • Citations: 48

  • Source: Saudi Medical Journal 39 (4), 395
    This study explores the effects of Ramadan fasting on the symptoms of chronic heart failure, offering insights into cardiovascular health during fasting.

🫀 Relation Between Epicardial Fat and Subclinical Atherosclerosis in Asymptomatic Individuals

  • Authors: RM Abazid, OA Smettei, MO Kattea, S Sayed, H Saqqah, AM Widyan, …

  • Year: 2017

  • Citations: 43

  • Source: Journal of Thoracic Imaging 32 (6), 378-382
    This paper uncovers the relationship between epicardial fat and subclinical atherosclerosis, providing valuable data for early cardiovascular disease prevention.

🥗 Dietary Assessment and Patient-Perspective Reasons for Poor Adherence to Diet and Exercise Post Bariatric Surgery

  • Authors: BS Assakran, AM Widyan, NA Alhumaidan, FA Alharbi, MA Alhnaya, …

  • Year: 2020

  • Citations: 14

  • Source: BMC Research Notes 13, 1-7
    This research assesses bariatric surgery patients’ dietary habits and highlights barriers to maintaining a healthy lifestyle after surgery.

💭 Incidence of Delirium in the Critical Care Unit and Risk Factors in the Central Region, Saudi Arabia

  • Authors: Rami M. Abazid, Shaima A. Al-Harbi, Abdulaziz S. Allihimy, Dawood A, …

  • Year: 2021

  • Citations: 7

  • Source: Saudi Medical Journal 42 (4), 445-448
    This study sheds light on the incidence of delirium in critical care units and identifies risk factors, crucial for improving patient care in intensive settings.

🏠 Public Awareness Regarding Household Drug Storage, Qassim Region, Saudi Arabia: A Cross-Sectional Study

  • Authors: SAM Abir Elghazaly, Ghada Ben Salah, Nada Ibrahim, Saud Alsahali, Adel M. Widyan, …

  • Year: 2023

  • Citations: 4

  • Source: Risk Management and Healthcare Policy 16 (1), 271-277
    The study focuses on household drug storage practices, aiming to raise public awareness about the importance of proper medication management.

🔄 Recurrent Inguinal Hernia Post-Laparoscopic Repair: A Retrospective Single-Center Study in Qassim Region, Saudi Arabia

  • Authors: BS Assakran, AM Widyan, AS Al-lihimy, AA Aljabali, MA Al-Enizi, …

  • Year: 2021

  • Citations: 4

  • Source: The Cureus Journal of Medical Science 13 (3)
    This paper investigates recurrent inguinal hernia following laparoscopic repair, providing critical data for improving surgical outcomes.

📦 Chance Constrained Approach for Treating Multicriterion Inventory Model with Random Variables in the Constraints

  • Authors: AM Widyan

  • Year: 2020

  • Citations: 4

  • Source: Journal of Statistics Applications & Probability 9 (2), 207-213
    A mathematical approach to inventory management, exploring stochastic parameters and their effect on decision-making in supply chain management.

Sabah Kausar | Applied Mathematics | Young Scientist Award

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Dr. Sabah Kausar | Applied Mathematics | Young Scientist Award

University of Gujrat, Pakistan

Dr. Sabah Kausar is a dedicated physicist and researcher specializing in nanomaterials, photocatalysis, and environmental sustainability. With an MPhil in Physics from the University of Gujrat, her research focuses on synthesizing and characterizing advanced nanocomposites for applications in water purification, antimicrobial treatments, and food preservation. She has expertise in XRD, SEM, FTIR, PL, UV-Vis spectroscopy, and EDX, demonstrating a strong technical background. Her publications on Ag-doped BiVO₄ and BiVO₄/ZnO nanocomposites highlight significant advancements in photocatalytic degradation and extended shelf life of fruits. Passionate about interdisciplinary research, Dr. Kausar’s work bridges nanotechnology, environmental science, and material physics. She aspires to expand her contributions through international collaborations, high-impact publications, and practical industrial applications. With a keen focus on sustainability and innovation, she is a promising young scientist making impactful contributions to applied physics and nanotechnology.

Professional Profile 

Education

Dr. Sabah Kausar holds an MPhil in Physics from the University of Gujrat, where she conducted pioneering research on nanomaterials and their photocatalytic and antimicrobial properties. Her thesis focused on the synthesis and characterization of BiVO₄-based nanocomposites for enhancing the shelf life of fruits and environmental remediation. Prior to her MPhil, she earned a BS (Honors) in Physics, where she developed a strong foundation in experimental, numerical, and conceptual physics. Her academic journey has been marked by excellence in material physics, spectroscopy, and nanotechnology applications. Additionally, she is currently pursuing a Bachelor of Education (BEd), reinforcing her ability to contribute to academia. With a solid educational background, she has developed expertise in advanced characterization techniques such as XRD, SEM, FTIR, PL, and UV-Vis spectroscopy, which are essential for analyzing the structural, optical, and morphological properties of nanomaterials.

Professional Experience

Dr. Sabah Kausar is an emerging scientist with expertise in photocatalytic nanomaterials, environmental physics, and material characterization. During her MPhil research, she synthesized and tested Ag-doped BiVO₄ and BiVO₄/ZnO nanocomposites to improve photocatalytic activity and antimicrobial performance. Her research has practical implications in water purification, environmental remediation, and food preservation. She has collaborated with interdisciplinary teams to analyze nanoparticle efficiency using XRD, SEM, FTIR, and UV-Vis spectroscopy. She has also contributed to scientific literature through high-impact publications focusing on nanotechnology-based solutions for sustainability. As a physicist, she excels in team collaboration, research execution, and analytical problem-solving. Beyond research, her pursuit of a BEd degree equips her with academic and teaching skills, enhancing her ability to mentor and educate future scientists. With a passion for advancing nanomaterials for environmental and biomedical applications, she is poised to make significant contributions to applied physics and sustainable technology.

Research Interest

Dr. Sabah Kausar’s research interests lie in nanotechnology, photocatalysis, environmental sustainability, and antimicrobial nanomaterials. She focuses on synthesizing and characterizing functional nanocomposites for applications in water purification, energy harvesting, and food preservation. Her expertise extends to advanced material characterization techniques such as X-ray diffraction (XRD), scanning electron microscopy (SEM), photoluminescence spectroscopy (PL), and UV-Vis analysis, which she employs to explore optical, structural, and chemical properties of materials. She is particularly interested in the development of eco-friendly nanomaterials to combat water pollution and food spoilage. Her work on TiO₂/BiVO₄ nanocomposites for dye and antibiotic degradation has demonstrated significant potential for environmental applications. Additionally, she is keen on interdisciplinary research collaborations to bridge the gap between material science, environmental physics, and biomedicine. With a strong foundation in experimental physics and nanotechnology, she aspires to contribute to cutting-edge advancements in sustainable science and clean energy.

Awards and Honors

Dr. Sabah Kausar has earned recognition for her innovative contributions to nanotechnology and environmental sustainability. Her MPhil research on BiVO₄-based nanomaterials has been widely acknowledged for its practical implications in photocatalysis, antimicrobial applications, and food preservation. She has presented her work at national and international awards, showcasing her expertise in material characterization and sustainable nanotechnology. Additionally, her high-impact publications in peer-reviewed journals reflect her strong research capabilities and commitment to scientific advancement. Her ability to bridge physics, chemistry, and environmental science has positioned her as a promising researcher. As she continues to develop innovative nanomaterials for real-world applications, she remains committed to academic excellence and collaborative research projects. With her growing contributions to scientific knowledge and sustainability-focused solutions, she is a strong candidate for Young Scientist Awards and similar recognitions in the fields of nanotechnology, applied physics, and environmental research.

Conclusion

Dr. Sabah Kausar is a rising physicist and nanotechnology researcher committed to solving environmental and sustainability challenges through innovative material science. With a strong academic background, hands-on research experience, and a passion for applied physics, she has contributed to the development of photocatalytic and antimicrobial nanomaterials. Her work has significant implications for clean energy, water purification, and food preservation, demonstrating the power of interdisciplinary scientific advancements. As a young scientist, she continues to explore new frontiers in nanotechnology, with a focus on sustainable applications. Her ability to integrate material characterization, experimental physics, and environmental research makes her a promising scientific leader. With continued collaborations, high-impact research, and academic contributions, she is well-positioned to make lasting contributions in physics, nanotechnology, and sustainability science.

Publications Top Noted

 

Huaiqing Zuo | Pure Mathematics | Best Researcher Award

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Prof. Huaiqing Zuo | Pure Mathematics | Best Researcher Award

Associate Head at Math. department of Tsinghua U, China

Dr. Huaiqing Zuo is a distinguished mathematician specializing in algebraic geometry and singularity theory. He earned his Ph.D. from the University of Illinois at Chicago in 2012, under the guidance of Stephen S.-T. Yau, with a dissertation on the coordinate-free characterization of isolated homogeneous singularities. Currently, Dr. Zuo serves as a professor in the Department of Mathematical Sciences at Tsinghua University, where he also holds leadership roles as Associate Head and Director of the Teaching Committee. His research has been widely recognized, earning him accolades such as the ICCM Best Paper Award Silver Award in 2017 and the Tsinghua University Faculty Excellence Award in 2023. Dr. Zuo has an extensive publication record, with numerous articles in high-impact journals, and has delivered invited talks at prestigious awards worldwide. His contributions have significantly advanced the understanding of isolated singularities and derivation Lie algebras, establishing him as a leading figure in his field.

Professional Profile 

Scopus Profile

Education

Dr. Huaiqing Zuo’s educational journey reflects a profound dedication to mathematics. He earned his Bachelor of Arts in Pure Mathematics from Guangzhou University in 2002, graduating with high honors. He then pursued a Ph.D. in Pure Mathematics at East China Normal University, completing it in 2010. During this period, he was an exchange student at the University of Illinois at Chicago (UIC) from 2007 to 2008, collaborating with Professor Stephen S.-T. Yau. Following this, Dr. Zuo obtained a Master of Science in Pure Mathematics from UIC in 2010. He continued at UIC as a Ph.D. candidate in Pure Mathematics, focusing on algebraic geometry, singularity theory, and coding theory. Throughout his doctoral studies, he served as a teaching assistant for various calculus courses, further honing his expertise and pedagogical skills.

Professional Experience

Dr. Huaiqing Zuo is a distinguished mathematician specializing in algebraic geometry and singularity theory. He earned his Ph.D. in Pure Mathematics from the University of Illinois at Chicago in 2012, under the guidance of Professor Stephen S.-T. Yau. Following his doctoral studies, Dr. Zuo joined Tsinghua University, where he has progressed through academic ranks: Assistant Professor (2013–2018), Associate Professor (2018–2023), and currently serves as a Professor since June 2023. In addition to his research and teaching roles, he has held significant administrative positions, including Associate Head of the Department of Mathematical Sciences and Director of the Teaching Committee since April 2024. Dr. Zuo’s contributions to the field are evidenced by numerous publications in high-impact journals and invitations to speak at international awards. His work has been recognized with several awards, such as the ICCM Best Paper Award Silver Award in 2017 and the Tsinghua University Faculty Excellence Award in 2023. Beyond his research, Dr. Zuo is committed to academic leadership and mentorship, having supervised multiple doctoral theses and actively participating in the academic community at Tsinghua University.

Research Interest

Dr. Huaiqing Zuo’s research interests encompass both pure and applied mathematics, with a particular focus on singularity theory, algebraic geometry, and coding theory. His work in singularity theory involves the study of spaces that are not well-behaved, such as those with points where mathematical objects are not defined or are not smooth. In algebraic geometry, he investigates the properties of geometric structures that are defined as solutions to systems of polynomial equations. Additionally, Dr. Zuo has explored coding theory, which involves the design of error-correcting codes for reliable data transmission and storage. His diverse research portfolio reflects a commitment to advancing mathematical understanding across these interconnected domains.

Award and Honor

Dr. Huaiqing Zuo has been recognized for his exceptional contributions to mathematics through several prestigious awards and honors. In 2017, he received the ICCM Best Paper Award Silver Award, along with three Distinguished Paper Awards from the same institution, underscoring the high quality and impact of his research. His excellence in academia was further acknowledged by Tsinghua University, where he was honored with the Faculty Excellence Award in 2023 and named Excellent Doctoral Thesis Supervisor in 2024, reflecting his dedication to both research and mentorship. Additionally, Dr. Zuo’s work has garnered significant attention in the mathematical community, with multiple papers being listed among ESI’s Most Cited Papers in 2023 and an Editor’s Pick by the Journal of Mathematical Physics in the same year, highlighting the influence and relevance of his scholarly contributions.

Conclusion

Dr. Huaiqing Zuo is a distinguished mathematician specializing in algebraic geometry and singularity theory. He earned his Ph.D. from the University of Illinois at Chicago in 2012, under the guidance of Professor Stephen S.-T. Yau. Currently, Dr. Zuo serves as a professor in the Department of Mathematical Sciences at Tsinghua University, where he also holds leadership positions, including Associate Head and Director of the Teaching Committee. His research has been widely recognized, earning him accolades such as the ICCM Best Paper Award Silver Award in 2017 and the Tsinghua University Faculty Excellence Award in 2023. Dr. Zuo has delivered numerous invited talks at prestigious institutions and awards, reflecting his standing in the mathematical community. His extensive publication record includes articles in high-impact journals, underscoring his significant contributions to his field. Dr. Zuo’s blend of research excellence, leadership, and dedication to education positions him as a leading figure in contemporary mathematics.

Publications Top Noted

  • The weights of isolated curve singularities are determined by Hodge ideals
    • Authors: Yang Wang, Stephen Yau, Huaiqing Zuo
    • Year: 2025
    • Source: Pacific Journal of Mathematics (PJM)
  • Normal surface singularities of small degrees
    • Authors: Stephen Yau, Hao Zuo, Huaiqing Zuo
    • Year: 2024
    • Source: Journal of the Mathematical Society of Japan
  • On the Nakai conjecture for some singularities
    • Authors: Xiao Zida, Stephen Yau, Qiwei Zhu, Huaiqing Zuo
    • Year: 2024
    • Source: Annali della Scuola Normale Superiore di Pisa, Classe di Scienze
  • Spectrum and Hertling conjectures for trimodal singularities
    • Authors: Quan Shi, Yang Wang, Huaiqing Zuo
    • Year: 2024
    • Source: Proceedings of the Steklov Institute of Mathematics
  • Three-dimensional rational isolated complete intersection singularities
    • Authors: Bingyi Chen, Stephen Yau, Huaiqing Zuo
    • Year: 2023
    • Source: Handbook of Geometry and Topology of Singularities
  • Various derivation Lie algebras of isolated singularities
    • Authors: Stephen S.-T. Yau, Huaiqing Zuo
    • Year: 2023
    • Source: Handbook of Geometry and Topology of Singularities
  • Modules of differential operators of (k, s)-th Tjurina algebras of singularities
    • Authors: Siyong Tao, Huaiqing Zuo
    • Year: 2024
    • Source: Forum Mathematica
  • Recent results on non-existence of negative weight derivations for weighted homogeneous isolated singularities
    • Authors: Bingyi Chen, Hao Chen, Stephen S.-T. Yau, Huaiqing Zuo
    • Year: 2022
    • Source: ICCM Notice
  • On jet closures of singularities
    • Authors: Yifan Chen, Huaiqing Zuo
    • Year: 2025
    • Source: Sbornik Mathematics
  • Three types of derivation Lie algebras of isolated hypersurface singularities
    • Authors: Naveed Hussain, Stephen S.-T. Yau, Huaiqing Zuo
    • Year: 2025
    • Source: Rendiconti del Circolo Matematico di Palermo
  • On variation of complex structures and variation of new Lie algebras arising from singularities
    • Authors: Bingyi Chen, Naveed Hussain, Stephen S.-T. Yau, Huaiqing Zuo
    • Year: 2024
    • Source: Proceedings of the 8th International Consortium of Chinese Mathematicians
  • On T-maps and ideals of antiderivatives of hypersurface singularities
    • Authors: Quan Shi, Stephen S.-T. Yau, Huaiqing Zuo
    • Year: 2024
    • Source: Izvestiya: Mathematics
  • Hodge moduli algebras and complete invariants of singularities
    • Authors: Guorui Ma, Yang Wang, Stephen S.-T. Yau, Huaiqing Zuo
    • Year: 2024
    • Source: Asian Journal of Mathematics
  • A characterization and solvability of quasihomogeneous singularities
    • Authors: Guorui Ma, Stephen Yau, Qiwei Zhu, Huaiqing Zuo
    • Year: 2024
    • Source: Pacific Journal of Mathematics
  • Sharp lower estimations for invariants associated with the ideal of antiderivatives of singularities
    • Authors: Naveed Hussain, Quan Shi, Huaiqing Zuo
    • Year: 2024
    • Source: Bulletin of the Iranian Mathematical Society