Dr. Arash Sioofy Khoojine | Energy and Sustainability | Best Academic Researcher Award
Dr. Arash Sioofy Khoojine | Energy and Sustainability |Assistant Professor at Yibin University, China
Dr. Arash Sioofy Khoojine is an accomplished academic and researcher specializing in applied statistics, statistical network analysis, and financial modeling. With a Ph.D. in Statistics from Shanghai Jiaotong University and a strong educational foundation in mathematics and probability, he has developed a multidisciplinary research profile that spans economics, epidemiology, and computational modeling. Currently serving as an Assistant Professor at Yibin University in China, Dr. Khoojine has published extensively in high-impact international journals and authored a Springer book on pandemic modeling. His work employs advanced methods such as network autoregressive models, mutual information theory, and fractional calculus, particularly in the context of stock market dynamics and COVID-19 forecasting. Fluent in English, Persian, and Chinese, he is also an active peer reviewer and guest editor, contributing to academic communities across disciplines. Dr. Khoojine’s innovative research and academic service make him a strong candidate for prestigious research awards.
Professional Profile
🎓 Educational Background of Dr. Arash Sioofy Khoojine
Dr. Arash Sioofy Khoojine has a strong and diverse academic foundation in mathematics and statistics. He earned his Ph.D. in Statistics from Shanghai Jiaotong University (2015–2020), one of China’s most prestigious institutions, where he specialized in statistical network analysis and received full scholarship support. Prior to that, he completed his M.Sc. in Probability and Mathematical Statistics at Central China Normal University (2012–2015), graduating as a top-ranked student with an impressive GPA of 93.2/100. His academic journey began with a B.Sc. in Pure Mathematics from Tabriz Payame Nour University in Iran (2000–2005), and he also holds a Pre-University Diploma in Mathematics from Taleghani Pre-University Center. This comprehensive and international academic progression reflects his deep commitment to quantitative sciences and global research excellence.
💼 Professional Experience of Dr. Arash Sioofy Khoojine
Dr. Arash Sioofy Khoojine has built a rich and diverse professional portfolio combining academic, teaching, and industry experience. He is currently serving as an Assistant Professor at Yibin University in Sichuan, China, where he teaches courses in Statistics, Econometrics, and the Application of Mathematics in Economics while actively pursuing research in statistical modeling and financial networks. His earlier roles include working as a Lecturer at Xian International Studies University in 2015 and a Teaching Assistant for Probability Theory at Central China Normal University during his M.Sc. studies. From 2007 to 2011, he worked as a C++ Programmer at Hekmat Pajouh Tabriz Co. in Iran, showcasing his technical and computational expertise. He also gained early experience in mathematics tutoring between 2004 and 2007. This blend of international academic teaching and practical programming experience demonstrates his versatility and depth in both theoretical and applied quantitative disciplines.
🔬 Research Interests of Dr. Arash Sioofy Khoojine
Dr. Arash Sioofy Khoojine’s research interests lie at the intersection of statistics, complex systems, and computational modeling. He is particularly focused on applied statistics, with a strong emphasis on statistical modeling and simulation for real-world phenomena, especially in economics and epidemiology. His work in complex networks and statistical network analysis explores how interconnected systems—like stock markets and disease spread—can be modeled using advanced mathematical tools. He is also deeply engaged in theoretical statistics, including hypothesis testing and statistical inference, as well as stochastic processes such as fractional Brownian motion. Additionally, Dr. Khoojine is interested in the integration of computer science and statistics, developing algorithms and predictive models using programming languages like R and Python. His interdisciplinary approach reflects a commitment to solving complex problems through a blend of mathematical theory, statistical rigor, and computational innovation.
🏆 Awards and Honors of Dr. Arash Sioofy Khoojine
Dr. Arash Sioofy Khoojine has received numerous academic awards and honors throughout his scholarly journey, reflecting his excellence and dedication to research and education. Early in his academic career, he ranked 40th in the Pre-University Entrance Exam in Tabriz, Iran, and was placed in the top 5% of national participants in the Iranian bachelor’s entrance exam. During his undergraduate studies, he achieved first-grade honors in several challenging mathematics subjects, including Complex Functions, Mathematical Analysis, and Hyperbolic Geometry. As a master’s student in China, he was recognized as the top-ranked graduate at Central China Normal University. His outstanding performance during his Ph.D. earned him a fully funded scholarship from Shanghai Jiaotong University and a research grant of 60,000 RMB to support his innovative work. These honors underscore his academic rigor, international recognition, and continued impact in the field of statistics and applied mathematics.
Conclusion
Dr. Arash Sioofy Khoojine is highly suitable for the Best Academic Researcher Award, owing to His diverse, impactful, and interdisciplinary research contributions, A strong track record of international publications, Academic commitment through teaching and peer review service, And a demonstrable passion for innovation in statistical modeling, economics, and pandemic forecasting.
📚 Publications Top Noted
1.Title: Smart Farming Solutions: A User-Friendly GUI for Maize Tassel Estimation Using YOLO With Dynamic and Fixed Labelling, Featuring Video Support
Authors: Ata Jahangir Moshayedi, Zhonghua Wang, Maryam Sharifdoust, Arash Sioofy Khoojine, Wei Zhang, Amin Kolahdooz, Jiandong Hu
Year: 2025
Citation: IEEE Access
2.Title: Dynamic Anomaly Detection in the Chinese Energy Market During Financial Turbulence Using Ratio Mutual Information and Crude Oil Price Movements
Authors: Lin Xiao, Arash Sioofy Khoojine
Year: 2024
Citation: Energies
3.Title: Interconnectedness of Systemic Risk in the Chinese Economy: The Granger Causality and CISS Indicator Approach
Authors: Omid Farkhondeh Rouz, Hossein Sohrabi Vafa, Arash Sioofy Khoojine, Sajjad Pashay Amiri
Year: 2024
Citation: Risk Management
4.Title: Analyzing Volatility Patterns in the Chinese Stock Market Using Partial Mutual Information-Based Distances
Authors: Arash Sioofy Khoojine, Ziyun Feng, Mahboubeh Shadabfar, Negar Sioofy Khoojine
Year: 2023
Citation: The European Physical Journal B
5.Title: A State-of-the-Art Review of Probabilistic Portfolio Management for Future Stock Markets
Authors: Longsheng Cheng, Mahboubeh Shadabfar, Arash Sioofy Khoojine
Year: 2023
Citation: Mathematics
6.Title: Randomized Fractional SEIR-VQHP Model with Applications in COVID-19 Data Prediction
Authors: Mahdi Shadabfar, Mojtaba Mahsuli, Arash Sioofy Khoojine, Vahid Reza Hosseini, Anyu Hong
Year: 2023
Citation: Fractals
7.Title: A Proposed Fractional Dynamic System and Monte Carlo-Based Back Analysis for Simulating the Spreading Profile of COVID-19
Authors: Arash Sioofy Khoojine, Mojtaba Mahsuli, Mahdi Shadabfar, Vahid Reza Hosseini, Hadi Kordestani
Year: 2022
Citation: The European Physical Journal Special Topics
8.Title: A Mutual Information-Based Network Autoregressive Model for Crude Oil Price Forecasting Using Open-High-Low-Close Prices
Authors: Arash Sioofy Khoojine, Mahboubeh Shadabfar, Yousef Edrisi Tabriz
Year: 2022
Citation: Mathematics
9.Title: Network Autoregressive Model for the Prediction of COVID-19 Considering the Disease Interaction in Neighboring Countries
Authors: Arash Sioofy Khoojine, Mahdi Shadabfar, Vahid Reza Hosseini, Hadi Kordestani
Year: 2021
Citation: Entropy
10.Title: Time-Variant Reliability-Based Prediction of COVID-19 Spread Using Extended SEIVR Model and Monte Carlo Sampling
Authors: Mahdi Shadabfar, Mojtaba Mahsuli, Arash Sioofy Khoojine, Vahid Reza Hosseini
Year: 2021
Citation: Results in Physics