Seyedeh Azadeh Fallah Mortezanejad | Predictive Analytics | Best Researcher Award

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Dr. Seyedeh Azadeh Fallah Mortezanejad | Predictive Analytics | Best Researcher Award

Doctorate at Jiangsu University, China

👨‍🎓 Profiles

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Scopus Profile
Research Gate Profile

Dr. Seyedeh Azadeh Fallah Mortezanejad, born on July 31, 1990, in Rasht, Iran, is an accomplished statistician specializing in statistical inferences and quality control. Her work focuses on maximum entropy, copula functions, and machine learning applications, reflecting her expertise in diverse areas of statistics and data analysis.

🎓 Academic Background

Dr. Mortezanejad earned her Ph.D. in Statistical Inferences from Ferdowsi University of Mashhad, Iran (2015-2020), with a thesis on “Applications of entropy in statistical quality control.” She completed her M.Sc. in Mathematical Statistics at Guilan University, Rasht, Iran (2012-2014), where her thesis was titled “Semi-parametric estimation of conditional Copula.” Her academic journey began with a B.Sc. in Statistics from Guilan University, Rasht, Iran (2008-2012).

đź’Ľ Professional Experience

Dr. Mortezanejad has taught various courses at prominent institutions, including Ferdowsi University of Mashhad and University of Guilan. Her teaching experience includes courses such as Statistics and Probability for Engineering, Applied Statistics 2, and Statistics and Probabilities in Management. Additionally, she has served as a Teacher Assistant for several courses, including “Statistics for Economy I and II” and “Mathematical Statistics,” at Ferdowsi University of Mashhad.

🔬 Research Interests

Her research interests encompass a range of topics including Maximum Entropy, Measures of Information, Copula Functions, Tied Observations, Machine Learning, Image Processing, Quality Control, and Control Charts. Dr. Mortezanejad’s work explores innovative applications and methodologies in these fields.

đź“ť Published Articles

Dr. Mortezanejad has authored several notable publications. Her work includes articles such as “Variational Bayesian Approximation (VBA): Implementation and Comparison of Different Optimization Algorithms” in Entropy (2024) and “Joint dependence distribution of data set using optimizing Tsallis copula entropy” in Physica A (2019). Other significant contributions include research on entropic structures in capability indices and the analysis of stock data based on copula functions.

🎤 Seminars

Dr. Mortezanejad has actively participated in international seminars and workshops. Notable presentations include “Profile Control Chart Based on Maximum Entropy” at the International Workshop on Responsible AI in Vietnam (2023) and discussions on Variational Bayesian Approximation (VBA) at the 41st and 42nd International Workshops on Bayesian Inference in France and Germany (2022-2023). She has also contributed to workshops on copula theory and information measures in Iran.

🧑‍🔬 Reviewer

She has been recognized as a Certified Reviewer for Helion Journal (2024) and has served as a reviewer for the 16th FLINS Conference and the 19th ISKE Conference in Spain (2024).

đź’» Software Skills

Dr. Mortezanejad is proficient in several software and programming languages, including Python, R, MATLAB, Scilab, and C++. She is also skilled in SPSS Modeler, SPSS Statistics, and Minitab, with experience in using Latex for academic writing and documentation.

đź“– Publications

Variational Bayesian Approximation (VBA): Implementation and Comparison of Different Optimization Algorithms”

  • Authors: Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
    Journal: Entropy
    Year: 2024

Variational Bayesian Approximation (VBA) with Exponential Families and Covariance Estimation

  • Authors: Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
    Journal: Physical Sciences Forum
    Year: 2023

Variational Bayesian Approximation (VBA): A Comparison between Three Optimization Algorithms

  • Authors: Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
    Conference: MaxEnt 2022
    Year: 2023

Evaluation of Anti-lice Topical Lotion of Ozonated Olive Oil and Comparison of its Effect with Permethrin Shampoo

  • Authors: Omid Rajabi, Atoosa Haghighizadeh, Seyedeh Azadeh Fallah Mortezanejad, Saba Dadpour
    Journal: Reviews on Recent Clinical Trials
    Year: 2022

An Entropic Structure in Capability Indices

  • Authors: Seyedeh Azadeh Fallah Mortezanejad, Gholamreza Mohtashami Borzadaran, Bahram Sadeghpour Gildeh
    Journal: Communications in Statistics – Theory and Methods
    Year: 2019

Joint Dependence Distribution of Data Set Using Optimizing Tsallis Copula Entropy

  • Authors: Seyedeh Azadeh Fallah Mortezanejad, Gholamreza Mohtashami Borzadaran, Bahram Sadeghpour Gildeh
    Journal: Physica A: Statistical Mechanics and its Applications
    Year: 2019

 

Kim Hua Tan – Supply chain Innovation – Best Researcher Award 

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Prof Dr. Kim Hua Tan - Supply chain Innovation - Best Researcher Award 

Nottingham University - United Kingdom 

Author Profile

Early Academic Pursuits

Professor Dr. Kim Hua Tan embarked on his academic journey with a strong foundation in Mechanical Engineering, obtaining a BEng from the University Technology of Malaysia. This was followed by an MSc in Manufacturing Management from Linkoping University, Sweden. His insatiable quest for knowledge further led him to pursue a Ph.D. in Strategy Operationalisation Process from the prestigious University of Cambridge between 1999 and 2002.

Professional Endeavors

Professor Dr. Tan's professional journey has been marked by significant leadership roles and academic positions. He held multiple roles at the Nottingham University Business School, including positions as Director of Operations Management MSc, Associate Professor, and Lecturer. Furthermore, he served as the Deputy Associate Dean for Research and Knowledge Exchange, showcasing his commitment to fostering research and academic excellence.

Contributions and Research Focus On Supply chain Innovation

Professor Dr. Tan's research contributions span various domains within Operations and Innovation Management. His extensive research grants, such as the British Academy Special Research Grant on Covid-19 and the Newton Fund-CONFAP Brazil, reflect his commitment to addressing contemporary challenges. His publications, including books like "Operations Strategy in Action" and numerous journal papers, illuminate his dedication to advancing knowledge in supply chain management, innovation, and organizational ethics.

Accolades and Recognition

Earning a place in the World’s Top 2% of most cited scientists by Stanford/Scopus-Elsevier in 2023 stands as a testament toProfessor Dr. Tan's influential contributions to the academic community. His ranking among the Best Scientists in Business and Management further underscores his recognition in the field. These accolades not only highlight his individual achievements but also validate his significant impact on academia and industry.

Impact and Influence

Professor Dr. Tan's research has had a profound impact on various sectors, from exploring the implications of Covid-19 on the retail pharmacy industry to empowering small farmers in China through cooperative support. His research outputs have provided valuable insights into sustainable product innovation, supply chain management, and data analytics, influencing both academic discourse and practical applications in the industry.

Legacy and Future Contributions

As a distinguished scholar and leader in Operations & Innovation Management, Professor  Dr. Tan's legacy resonates through his groundbreaking research, mentorship, and academic leadership. His collaborations, publications, and strategic initiatives have paved the way for future advancements in the field. Moving forward, Dr. Tan continues to inspire through his relentless pursuit of excellence, fostering innovation, and shaping the future trajectory of Operations and Innovation Management.

In summary, Professor Dr. Kim Hua Tan's illustrious career is characterized by early academic pursuits, significant professional endeavors, pioneering contributions to research, accolades and recognition, impactful influence, and a lasting legacy that continues to shape the academic landscape and industry practices.

Notable publication