Caiming Zhang | Decision Sciences | Best Researcher Award

Prof. Caiming Zhang | Decision Sciences | Best Researcher Award

China University of Labor Relations | China

Author profile

Scopus

Orcid

🌱 Early Academic Pursuits

Prof. Caiming Zhang's educational journey showcases his steadfast dedication to Industrial Economics and Management. He began with a Bachelor of Engineering from Nanchang University in 1998, followed by a Master of Management from Beijing University of Technology in 2001. His academic ambition culminated in a Ph.D. in Industrial Economics from Beijing Jiaotong University in 2008. These formative years laid the foundation for his future contributions to academia and industry.

🏛️ Professional Endeavors

Prof. Zhang's career trajectory reflects a seamless integration of academic leadership and industry innovation. As the Dean of the School of Labor Relations and Human Resources at China University of Labor Relations, he continues to guide the next generation of thinkers. His prior roles as Vice Dean and Director within the same institution underscore his impactful leadership. Beyond academia, Prof. Zhang is the Founder and President of Beijing Dimensional Insight Inc., a hub for cutting-edge research in big data and business intelligence, showcasing his entrepreneurial spirit and technical expertise.

🔬 Contributions and Research Focus

Prof. Zhang’s research encompasses pivotal areas such as big data, artificial intelligence, and Industry 4.0. His work has been recognized globally through publications in esteemed journals like Journal of Industrial Information Integration and Information Systems Frontiers. His patents, including innovative methods for big data analysis, highlight his contributions to technological advancement. Furthermore, his hosting of national research projects and development of big data systems for institutions like Beijing Metro Commission and Hebei Hospitals reflect his commitment to practical applications of research.

🏅 Accolades and Recognition

Prof. Zhang’s contributions have earned numerous accolades. Among them are awards for groundbreaking research in artificial intelligence and educational excellence. His paper on AI prospects won the Third Award at the 16th Scientific Research Achievements in China University of Labor Relations. He has also been recognized for innovative curriculum design, securing prestigious teaching awards. As a Senior Member of IEEE and the Chinese Society of Technology Economics, his influence extends across academic and professional spheres.

🌍 Impact and Influence

As a visiting scholar at Old Dominion University and a sought-after speaker at international conferences, Prof. Zhang has brought Chinese academic insights to the global stage. His research on topics like the economic impact of AI and blockchain technology not only advances knowledge but also addresses contemporary industry challenges. Through his mentorship of graduate students and leadership in research, he has shaped the academic and professional paths of countless individuals.

🌟 Legacy and Future Contributions

Prof. Zhang's enduring legacy lies in his ability to bridge the gap between theory and practice. His work in advancing big data applications, combined with his passion for education and innovation, promises a future where technology continues to drive societal progress. As he leads projects on intelligent education and big data decision-making, Prof. Zhang remains a beacon of inspiration, paving the way for breakthroughs in both academia and industry.

 

Publications


📝 The Impact of Generative AI on Management Innovation

  • Author: Zhang, C., Zhang, H.
  • Journal: Journal of Industrial Information Integration
  • Year: 2025

📝 A Dynamic Attributes-driven Graph Attention Network Modeling on Behavioral Finance for Stock Prediction

  • Author: Zhang, Q., Zhang, Y., Yao, X., Zhang, C., Liu, P.
  • Journal: ACM Transactions on Knowledge Discovery from Data
  • Year: 2023

📝 Acquisition and Cognition Information of Human Body Swing

  • Author: Fan, J.-F., Sigov, A., Ratkin, L., Chen, S.-W., Zhang, C.-M.
  • Journal: Journal of Industrial Information Integration
  • Year: 2022

📝 A Literature Review of Social Commerce Research from a Systems Thinking Perspective

  • Author: Wang, X., Wang, H., Zhang, C.
  • Journal: Systems
  • Year: 2022

📝 Study on the Interaction Between Big Data and Artificial Intelligence

  • Author: Li, J., Ye, Z., Zhang, C.
  • Journal: Systems Research and Behavioral Science
  • Year: 2022

 

Okechukwu Obulezi | Mathematics | Editorial Board Member

Dr. Okechukwu Obulezi | Mathematics | Editorial Board Member

Nnamdi Azikiwe University | Nigeria

Author Profile

Scopus

Orcid

🎓 Early Academic Pursuits

Dr. Okechukwu Obulezi began his academic journey with a focus on statistical sciences, obtaining an ND in Statistics from Abia State Polytechnic in 2006. Driven by his passion, he continued with an HND in Statistics from the same institution, culminating in a strong foundation in quantitative analysis and data interpretation. Pursuing higher learning, he completed a PGD in Statistics at Nnamdi Azikiwe University in 2012, with a thesis on the "Discriminant Analysis of the Nigerian Fixed Assets." His master's thesis focused on "BIC-Based Relative Influence Measure for Outlier Detection and Variable Selection in Regression Analysis," setting the stage for his current Ph.D. in Statistics, where he explores complex statistical methods for predictive and analytical modeling.

💼 Professional Endeavors

Dr. Obulezi’s professional career spans several academic roles, starting as an Instructor at Abia State Polytechnic in 2011, where he advanced to Senior Instructor by 2015. In 2019, he joined Nnamdi Azikiwe University as an Assistant Lecturer in the Statistics Department, quickly progressing to Lecturer II and then Lecturer I by 2023. His responsibilities include teaching specialized courses such as Biostatistics, Statistical Methods, Probability Theory, and Matrix Algebra, where he imparts knowledge to the next generation of statisticians. Beyond teaching, he plays critical roles in advising undergraduates, coordinating seminars and projects, and contributing to departmental committees, such as the Faculty ICT Committee and Faculty Repair and Maintenance Committee.

🔬 Contributions and Research Focus

Dr. Obulezi’s research interests lie at the intersection of probability distributions, machine learning, and statistical modeling, with applications in survival analysis, acceptance sampling, and censored data analysis. His contributions to these fields include publications in high-impact journals, focusing on new statistical models for various real-world applications. Some of his significant research includes new distribution models for engineering, biomedical, and environmental data, optimization of GARCH models for financial volatility, and innovative sampling plans for reliability testing. His publications reflect his commitment to advancing the fields of statistics and machine learning by creating robust, practical solutions for complex data challenges.

🏆 Accolades and Recognition

Dr. Obulezi has earned recognition for his academic and research excellence, serving as a reviewer for several prestigious journals, such as Cogent Engineering, Scientific African, and Alexandria Engineering Journal. His expertise has also led him to contribute as a reviewer for academic book chapters, particularly in mathematical and computer science research. This engagement underscores his prominence as a thought leader in the statistical community and highlights the respect he commands among peers for his critical insights and expertise.

🌍 Impact and Influence

Dr. Obulezi's work in developing statistical models and distributions has had a significant impact, particularly in the areas of biomedicine, engineering, and environmental science. His innovative methodologies have helped refine statistical tools for better data analysis, contributing to improved outcomes in public health research, environmental risk assessment, and financial risk management. His influence also extends to mentoring students and collaborating with other academics, which enriches the statistical field and inspires the next generation of statisticians.

🔮 Legacy and Future Contributions

Looking forward, Dr. Obulezi aims to further his research in advanced statistical modeling, focusing on machine learning applications and data-driven decision-making in complex fields. His commitment to exploring new statistical approaches for big data and predictive analysis places him at the forefront of his field, positioning him to make enduring contributions that will drive innovation in statistical methodologies and applications for years to come.

 

Publications


  • 📄 Parameter estimation for reduced Type-I Heavy-Tailed Weibull distribution under progressive Type-II censoring scheme
  • Authors: Prakash, A., Maurya, R.K., Alsadat, N., Obulezi, O.J.
  • Journal: Alexandria Engineering Journal
  • Year: 2024

  • 📄 Sine generalized family of distributions: Properties, estimation, simulations and applications
  • Authors: Oramulu, D.O., Alsadat, N., Kumar, A., Bahloul, M.M., Obulezi, O.J.
  • Journal: Alexandria Engineering Journal
  • Year: 2024

  • 📄 A more flexible Lomax distribution: Characterization, estimation, group acceptance sampling plan and applications
  • Authors: Ekemezie, D.-F.N., Alghamdi, F.M., Aljohani, H.M., El-Raouf, M.M.A., Obulezi, O.J.
  • Journal: Alexandria Engineering Journal
  • Year: 2024

  • 📄 A new extension of Burr-Hatke exponential distribution with engineering and biomedical applications
  • Authors: Anyiam, K.E., Alghamdi, F.M., Nwaigwe, C.C., Aljohani, H.M., Obulezi, O.J.
  • Journal: Heliyon
  • Year: 2024

  • 📄 Group acceptance sampling plan based on truncated life tests for Type-I heavy-tailed Rayleigh distribution
  • Authors: Nwankwo, M.P., Alsadat, N., Kumar, A., Bahloul, M.M., Obulezi, O.J.
  • Journal: Heliyon
  • Year: 2024

 

Doohyun Park | Computer Science | Best Researcher Award

Dr. Doohyun Park | Computer Science | Best Researcher Award

VUNO Inc. | South Korea

Author Profile

Orcid

Early Academic Pursuits 🎓

Dr. Doohyun Park embarked on his academic journey at Yonsei University, where he earned his Bachelor's degree in Electrical and Electronic Engineering (2012-2016). His deep interest in medical applications of technology led him to pursue a Ph.D. at the same institution. His doctoral thesis focused on artificial intelligence-based preoperative prediction of axillary lymph node metastasis in breast cancer using whole slide images, which showcases his commitment to integrating AI in healthcare. His academic path laid the foundation for his future contributions to biomedical research and medical image analysis.

Professional Endeavors 💼

Dr. Park’s professional career is marked by his significant role at VUNO Inc., where he is part of the Lung Vision AI team. His work involves the development of computer-aided detection and diagnosis (CADe/CADx) on lung CT, focusing on innovative solutions for lung health. He has also worked on projects assessing the severity of COVID-19 and anomaly detection in spine CT. His expertise in the intersection of AI and healthcare has positioned him as a key contributor to advanced diagnostic technologies, reflecting his ability to bridge academia and industry.

Contributions and Research Focus 🔬

Dr. Park's research interests are centered around biomedical and clinical research, with a particular emphasis on computer-aided detection, diagnosis, and medical image analysis. He has published numerous papers on topics ranging from deep learning-based joint effusion classification to the development of AI models for lung cancer screening. His research has garnered recognition in top-tier journals, reinforcing his role in advancing AI applications in healthcare. He also holds multiple international and domestic patents related to prognosis prediction using image features, underscoring his contributions to the global research community.

Accolades and Recognition 🏆

Dr. Park’s outstanding contributions to medical image analysis have earned him several prestigious awards. Notably, he won the Best Paper Award at the 2023 MICCAI Grand Challenge for Aorta Segmentation and secured third place in the competition. His academic excellence has also been recognized through scholarships, including the Brain Korea 21 Scholarship and various research and teaching assistant scholarships during his time at Yonsei University. His consistent track record of achievements highlights his dedication to both research and education.

Impact and Influence 🌍

Dr. Park's work has had a profound impact on the field of medical AI, particularly in improving diagnostic tools for lung and breast cancer. His development of cutting-edge algorithms for image analysis has the potential to revolutionize early detection and prognosis in clinical settings. His invited talks at high-profile forums like the Global Engagement & Empowerment Forum on Sustainable Development (GEEF) further showcase his influence on global health initiatives, particularly in the context of the United Nations' Sustainable Development Goals.

Legacy and Future Contributions ✨

As Dr. Park continues his career, his legacy is being built on the foundations of innovation, interdisciplinary collaboration, and a commitment to improving healthcare outcomes. His ongoing projects, including AI-based lung cancer screening and prognosis prediction for adenocarcinoma, promise to shape the future of diagnostic medicine. With a robust portfolio of patents, publications, and collaborative research, Dr. Park is poised to make lasting contributions to both academic and clinical communities, further solidifying his role as a pioneer in medical AI.

 

Publications


📝 Deep Learning-Based Joint Effusion Classification in Adult Knee Radiographs: A Multi-Center Prospective Study
Authors: Hyeyeon Won, Hye Sang Lee, Daemyung Youn, Doohyun Park, Taejoon Eo, Wooju Kim, Dosik Hwang
Journal: Diagnostics
Year: 2024


📝 M3F: Multi-Field-of-View Feature Fusion Network for Aortic Vessel Tree Segmentation in CT Angiography
Authors: Yunsu Byeon, Hyeseong Kim, Kyungwon Kim, Doohyun Park, Euijoon Choi, Dosik Hwang
Journal: Book Chapter
Year: 2024


📝 Weakly Supervised Deep Learning for Diagnosis of Multiple Vertebral Compression Fractures in CT
Authors: Euijoon Choi, Doohyun Park, Geonhui Son, Seongwon Bak, Taejoon Eo, Daemyung Youn, Dosik Hwang
Journal: European Radiology
Year: 2023


📝 Development and Validation of a Hybrid Deep Learning–Machine Learning Approach for Severity Assessment of COVID-19 and Other Pneumonias
Authors: Doohyun Park, Ryoungwoo Jang, Myung Jin Chung, Hyun Joon An, Seongwon Bak, Euijoon Choi, Dosik Hwang
Journal: Scientific Reports
Year: 2023


📝 Importance of CT Image Normalization in Radiomics Analysis: Prediction of 3-Year Recurrence-Free Survival in Non-Small Cell Lung Cancer
Authors: Doohyun Park, Daejoong Oh, MyungHoon Lee, Shin Yup Lee, Kyung Min Shin, Johnson SG Jun, Dosik Hwang
Journal: European Radiology
Year: 2022


 

Iordanis Karavasilis | Economics, Econometrics and Finance | Best Researcher Award

Mr. Iordanis Karavasilis | Economics, Econometrics and Finance | Best Researcher Award

International Hellenic University | Greece

Author Profile

Orcid

Early Academic Pursuits 📚

Mr. Iordanis Karavasilis embarked on his academic journey with a strong foundation in finance and accounting. He completed his Bachelor's degree in Finance and Accounting at the University of Macedonia in Thessaloniki, Greece, where he achieved a Grade Point Average of 7.43/10. His studies included comprehensive subjects such as Financial Administration, Banking Management, and Econometrics. Building on this foundation, he pursued a Master of Science in Business Economics: Finance at the University of Amsterdam, graduating with a GPA of 7.25/10. His thesis focused on the impact of "zombie banks" on the U.S. economy. He further advanced his education with an MBA in Hospitality and Tourism from International Hellenic University, where he excelled with a GPA of 9.93/10 and researched the effects of tourism on macroeconomic indicators in Greece.

Professional Endeavors 💼

Mr. Karavasilis has amassed extensive professional experience in financial management and accounting. Since February 2022, he has been serving as a Financial Manager at Kri Kri S.A., a leading dairy industry company in Greece. His role encompasses managing bank accounts, financial guarantees, corporate loans, and supplier payments, among other responsibilities. Prior to this, he worked as an Accounts Receivable Specialist at Kri Kri S.A., where he handled credit checking, financial reporting, and communication with customers. His early career included roles such as a Foreign Exchange Market Trader and Assistant Accountant, where he gained experience in financial analysis and accounting practices.

Contributions and Research Focus 🔍

Mr. Karavasilis’s academic research has significantly contributed to understanding economic impacts and financial systems. His ongoing PhD research at International Hellenic University focuses on "The effect of the digital economy on macroeconomic indicators of different geographical areas." His previous work includes a Master’s thesis on the effects of tourism on Greece’s macroeconomic indicators and a detailed analysis of zombie banks during his Master’s in Finance. His contributions are valuable in bridging theoretical knowledge with practical financial management and economic analysis.

Accolades and Recognition 🏅

Throughout his career, Mr. Karavasilis has received notable recognition for his academic and professional achievements. He was awarded a scholarship for his MBA studies at International Hellenic University and has been acknowledged for his contributions to various conferences and seminars. His expertise in financial management and economics has also been validated through certifications and diplomas, including a professional license as a Senior Accountant and specialized training in conflict management and foreign exchange trading.

Impact and Influence 🌟

Mr. Karavasilis’s work has had a profound impact on both academic and professional fields. His research on digital economy effects and macroeconomic indicators contributes to the understanding of contemporary economic challenges. His practical experience in financial management at Kri Kri S.A. demonstrates his capability in managing complex financial operations and enhancing organizational efficiency. His teaching roles at the International Hellenic University also reflect his commitment to shaping future professionals in the field.

Legacy and Future Contributions 🚀

Looking ahead, Mr. Karavasilis is poised to make further contributions to the field of finance and economics. His ongoing research and professional endeavors continue to influence financial practices and economic theories. His dedication to education and practical financial management underscores his commitment to advancing knowledge and fostering growth in the financial sector. His future work is expected to continue making significant strides in understanding and managing economic and financial systems.

 

Publications


📚 Forecasting the Evolution of the Digital Economy in the Industry of the European Union 
Authors: Iordanis Karavasilis, Vasiliki Vrana, George Karavasilis
Journal: Journal of Risk and Financial Management
Year: 2024


 

Sofia Karakasidou | Economics, Econometrics and Finance | Best Researcher Award

Ms. Sofia Karakasidou | Economics, Econometrics and Finance | Best Researcher Award

University of Thessaly | Greece

Author profile

Orcid

🌱 Early Academic Pursuits

Ms. Sofia Karakasidou's academic journey began with a strong foundation in economics. She earned her BSc in Economics from the Aristotle University of Thessaloniki, Greece, between 1990 and 1994. Eager to expand her expertise, she pursued a second BSc in Accounting & Finance at the University of Macedonia, Thessaloniki, Greece, from 1999 to 2004. Her academic endeavors continued as she attained an MSc in "Statistics and Actuarial Financial Mathematics" with a specialization in Actuarial Financial Mathematics from the University of the Aegean, Greece, from 2007 to 2011. Currently, she is a dedicated Ph.D. candidate at the University of Thessaly, Greece, focusing on advanced economic studies.

🏢 Professional Endeavors

Ms. Karakasidou has a rich professional background, having served in various capacities at the Central Market of Thessaloniki S.A. since 1996. She began in the Administrative Department and soon transitioned to the Financial Department, where her expertise in financial management and administrative functions grew. Over the years, she climbed the ranks, eventually becoming the Head of Financial Services and, later, the Head of Administrative Services Department, a position she holds today.

📊 Contributions and Research Focus

Ms. Karakasidou has made significant contributions to the field of economic statistics, particularly in the analysis of time series related to agricultural product prices. Her research, often presented at national and international conferences, delves into the complexities of price dynamics using advanced methods such as Recurrence Quantification Analysis and complex networks. Her published works, including papers in reputable journals like AppliedMath, reflect her deep commitment to understanding and improving financial and economic systems.

🏆 Accolades and Recognition

Throughout her career, Ms. Karakasidou has been recognized for her exceptional work. Her presentations at prominent conferences, such as the Panhellenic Conference on Statistics and the International Conference on Topology, have earned her respect in the academic community. Her ability to translate complex statistical data into actionable insights has been acknowledged by peers and professionals alike.

🌍 Impact and Influence

Ms. Karakasidou's work has had a profound impact on the understanding of economic patterns, particularly in the agricultural sector. Her research has provided valuable insights into the behavior of vegetable prices, offering a clearer picture of market dynamics. This has not only contributed to academic literature but also provided practical implications for economic policy and market regulation.

📚 Legacy and Future Contributions

As Ms. Karakasidou continues her Ph.D. studies and professional work, her legacy in the field of economic statistics is already taking shape. Her future contributions are likely to further enhance the understanding of economic systems, particularly in the area of time series analysis. With her ongoing research and dedication to academic excellence, Ms. Karakasidou is set to make lasting contributions that will influence future studies and practices in economics.

 

Publications


  • 📄 Exploring Price Patterns of Vegetables with Recurrence Quantification Analysis
    Authors: Sofia Karakasidou, Athanasios Fragkou, Loukas Zachilas, Theodoros Karakasidis
    Journal: AppliedMath
    Year: 2024 (4(3), 1012-1046)

  • 📄 Nonlinear Analysis of Time Series of Agricultural Product Prices: Application in the Central Market of Thessaloniki
    Author: Sofia Karakasidou
    Conference: 26th Panhellenic Conference on Statistics, Hellenic Statistical Institute
    Year: 2013

  • 📄 Analysis of Time Series of Greek Vegetable Prices
    Author: Sofia Karakasidou
    Conference: 30th Conference on Applied Economics, University of Thessaly & Hellenic Statistical Institute
    Year: 2013

  • 📄 Vegetable Price Time Series Analysis Using Complex Networks
    Author: Sofia Karakasidou
    Conference: International Conference on Topology, Nafpaktos, Greece
    Year: 2014

  • 📄 Vegetable Price Dynamics Using Recurrence Plot Analysis
    Author: Sofia Karakasidou
    Conference: International Conference on Topology, Nafpaktos, Greece
    Year: 2023

 

Megha Varshney | Mathematics | Best Researcher Award

Ms. Megha Varshney | Mathematics | Best Researcher Award

Dr. APJ Abdul Kalam Technical University | India

Author profile

Orcid

Google Scholar

Early Academic Pursuits 🎓

Ms. Megha Varshney’s academic journey began with a strong foundation in mathematics and science. She completed her Bachelor of Science from SM Degree College, Chandausi, District Sambhal, U.P., with a focus on Physics, Chemistry, and Mathematics, achieving a percentage of 74.07%. She further pursued her Master of Science in Pure Mathematics at Banasthali Vidyapith, Tonk, Rajasthan, where she graduated with a CGPA of 8.03. Her intermediate studies, which secured her 1st rank in her district and a Gold Medal, and her high school education, demonstrate her consistent academic excellence from an early age.

Professional Endeavors 💼

Ms. Varshney has been engaged in various roles that highlight her versatility and dedication. As a Research Scholar at Dr. APJ Abdul Kalam Technical University, Lucknow, she has made significant strides in her research, focusing on optimization and nature-inspired metaheuristic algorithms. Her research achievements include publishing articles in SCIE journals, contributing book chapters, and presenting at both national and international conferences. Her role as a Guest Faculty Assistant Professor at SM Degree College allowed her to develop and implement innovative teaching methods, enhancing student engagement and learning outcomes.

Contributions and Research Focus 🔬

Ms. Varshney's research contributions are centered around optimization techniques and metaheuristic algorithms. Notable works include her publications on the hybridization of algorithms, structural engineering problems, and advanced optimization methods. Her research has been showcased in various prestigious journals and conferences, reflecting her commitment to advancing the field of computational mathematics and optimization.

Accolades and Recognition 🏅

Her academic excellence has been recognized through several accolades, including a Certificate of Excellence in Academics awarded by the Chief Minister of Uttar Pradesh in 2013 and securing 1st rank in her district's intermediate examination. Additionally, she is a GATE Qualified candidate with a rank of AIR-339 and a score of 544.

Impact and Influence 🌟

Ms. Varshney's impact extends beyond her research through her innovative teaching methods and curriculum development at SM Degree College. Her contributions to the field of optimization and computational mathematics have influenced both academic circles and practical applications in structural engineering and algorithm development.

Legacy and Future Contributions 🔮

Looking ahead, Ms. Varshney is poised to continue her impactful research and teaching career. Her focus on nature-inspired algorithms and optimization techniques positions her as a leading figure in her field. Her dedication to both research and education ensures that her future contributions will likely advance the boundaries of computational mathematics and inspire future scholars and practitioners.

 

Publications


  • 📄Dynamic Random Walk and Dynamic Opposition Learning for Improving Aquila Optimizer: Solving Constrained Engineering Design Problems
    • Journal: Biomimetics
    • Year: 2024
    • Authors: Megha Varshney, Pravesh Kumar, Musrrat Ali, Yonis Gulzar

  • 📄Using the Grey Wolf Aquila Synergistic Algorithm for Design Problems in Structural Engineering
    • Journal: Biomimetics
    • Year: 2024
    • Authors: Megha Varshney, Pravesh Kumar, Musrrat Ali, Yonis Gulzar

 

 

Hafiz Muhammad Naveed | Economics, Econometrics and Finance | Best Research Award

Dr. Hafiz Muhammad Naveed | Economics, Econometrics and Finance | Best Research Award

Shenzhen University | China

Author Profile

Scopus

Google Scholar

Early Academic Pursuits

Dr. Hafiz Muhammad Naveed began his academic journey with a Bachelor (Hons) in Economics & Finance from the School of Economics, Islamia University, Bahawalpur (IUB), Pakistan, achieving a CGPA of 3.01/4.00. His dissertation focused on the impact of Foreign Direct Investment on Pakistan's economic growth, indicating an early interest in economic factors affecting national development. He continued his studies with a Master of Philosophy (M.Phil) in Business Administration, specializing in Finance, from the National College of Business Administration & Economics (NCBA&E), Lahore, Pakistan, with a CGPA of 3.5/4.0. His dissertation analyzed the impact of power shortages on capital flight in Pakistan.

Professional Endeavors

Dr. Naveed's teaching career started as a lecturer in Economics at the Punjab Group of Colleges, Fort Abbas Campus, Pakistan, from 2017 to 2019. He later became an English Teacher Assistant (ETA) and a Teaching Management Assistant (TMA) at Jiangsu University, China, from 2019 to 2023. During his tenure at Jiangsu University, he taught various subjects and assisted in writing academic papers for international journals. His excellence in teaching was recognized with an Excellent Teacher Award.

Contributions and Research Focus

Dr. Naveed's research primarily revolves around machine learning, deep learning, financial risk management, green finance, renewable energy, and environmental risk assessment. His PhD dissertation focused on financial system modeling using deep intelligent networks for financial predictions and assessments. He has authored several high-impact research publications, including: assessing the nexus between currency exchange rate returns, currency risk hedging, and international investments using intelligent networks; estimating the influence of the COVID-19 pandemic on financial markets with artificial neural networks; evaluating connectedness between currency risk hedging and firm value through deep neural networks; and analyzing the impact of the Russia-Ukraine War and COVID-19 on stock markets of G20 nations.

Accolades and Recognition

Dr. Naveed has received numerous awards and honors, including the 1st class presidential scholarship every year during his Ph.D. at Jiangsu University, China, due to his outstanding academic performance and social activities.

Impact and Influence

Dr. Naveed's work in integrating advanced computational techniques with financial analysis has significant implications for financial risk management and economic forecasting. His contributions to understanding the impacts of global crises, such as the COVID-19 pandemic and the Russia-Ukraine War, on financial markets have provided valuable insights for policymakers and investors.

Legacy and Future Contributions

Dr. Naveed's ongoing research and forthcoming publications, such as the financial modeling system using deep neural networks for financial risk assessments and green finance analysis, highlight his commitment to advancing the field of financial engineering. His work on sustainable development and environmental quality protection reflects his dedication to addressing global challenges through innovative research.

 

Notable Publications

Assessing the nexus between currency exchange rate returns, currency risk hedging and international investments: Intelligent network-based analysis 2024

The role of environmental knowledge, policies and regulations toward water resource management: A mediated-moderation of attitudes, perception, and sustainable consumption patterns 2024 (1)

Artificial neural network (ANN)-based estimation of the influence of COVID-19 pandemic on dynamic and emerging financial markets 2023 (11)

Connectedness between Currency Risk Hedging and Firm Value: A Deep Neural Network-based Evaluation 2023 (7)

Factors Making the Change in Current Academic Performance of Business Students at the University Level 2020 (6)

 

Mohammadreza Kordbagheri | Psychology | Best Researcher Award

Dr. Mohammadreza Kordbagheri | Psychology | Best Researcher Award

Shahid Beheshti University | Iran

Author Profile

Scopus

Orcid

Early Academic Pursuits

Dr. Mohammadreza Kordbagheri's journey into the realm of data analysis and statistical expertise began with his impressive academic achievements. He completed his PhD in Science, specializing in statistics and psychometrics, from Shahid Beheshti University, Tehran, in 2023. Dr. Kordbagheri's academic prowess was evident early on as he ranked seventh in the senior entrance exam and graduated as the top student in his course with a GPA of 4.0.

Professional Endeavors

Throughout his career, Dr. Kordbagheri has held various consultancy roles, contributing his statistical expertise to several institutions. From 2018 to 2019, he served as a Statistics Consultant at Shahid Beheshti University and at the Colleges of Nursing and Midwifery at both Tehran University and Babol University. His role extended to being a Statistical Assistant at the Data Machin Institute in Tehran from 2019 to 2023. These roles have solidified his reputation as a proficient data analyst capable of transforming raw data into insightful reports and presentations that aid academic decision-making.

Contributions and Research Focus

Dr. Kordbagheri has a robust research portfolio with numerous published papers. His research spans a wide array of topics, including psychological well-being, treatment adherence in diabetes patients, personality traits, parental blame among parents of children with autism spectrum disorder, and psychometric evaluations. Notably, his work often employs advanced statistical techniques such as structural equation modeling, network analysis, and meta-analysis, showcasing his technical proficiency and innovative approach to data analysis.

Accolades and Recognition

Dr. Kordbagheri's expertise in statistical analysis and psychometrics has earned him recognition in the academic community. His ability to design specialized scales and perform complex actuarial calculations, along with his proficiency in various statistical software like R and MPLUS, has distinguished him as an expert in his field. His skills in responding to reviewer comments for ISI articles and developing creative solutions to improve efficiency are particularly noteworthy.

Impact and Influence

Dr. Kordbagheri's work has had a significant impact on the fields of statistics and psychometrics, particularly in healthcare and psychological research. His contributions to understanding the psychological factors affecting health behaviors and the development of psychometric tools have provided valuable insights and methodologies for future research. His published papers are widely cited, reflecting the influence and importance of his work in these areas.

Legacy and Future Contributions

As Dr. Kordbagheri continues to advance in his career, his legacy as a skilled data analyst and researcher is firmly established. His comprehensive skill set, which includes advanced statistical modeling, machine learning implementation, and psychometric assessment, positions him to continue making significant contributions to his field. His commitment to improving efficiency and streamlining processes through creative solutions suggests that his future work will continue to shape and innovate the landscape of statistical analysis and research methodologies.

 

Notable Publications

📄 Article: The mediating role of psychological well-being in the relationship between the light triad of personality and sense of concordance with treatment adherence in patients with type 2 diabetes: A network analysis and structural equation modeling study

  • Authors: Mohammadreza Kordbagheri, Seyedeh Masoumeh Bagheri, Nasrin Jalali Heris, Parisa Matbouraftar, Mozhdeh Azarian, Seyedeh Maryam Mousavi
  • Year of Publication: 2024
  • Citations: 0

📄 Article: Evaluation of the psychometric indicators of the Comprehensive Autistic Trait Inventory in Iranian adults

  • Authors: Kordbagheri, M., Kordbagheri, A., Tayim, N., Davoudi, M.
  • Year of Publication: 2024
  • Citations: 2

📄 Article: Validation of the Short Dark Tetrad (SD4) in Persian: Assessment of Its Structure and Nomological Network

  • Authors: Qaderi Bagajan, K., Ziegler, M., Soleimani, M., Hoseini, S., Bagajan, H. Q.
  • Year of Publication: 2024
  • Citations: 1

📄 Article: The mediating role of rumination in the relationship between pathological personality traits and Self‐ and other‐blame among parents of children with autism spectrum disorder: Structural Equation Modeling (SEM)

  • Authors: Hashemi, H., Salekfard, S. V., Khodadadi, N., Nemati, F., Kordbagheri, M.
  • Year of Publication: 2023
  • Citations: 1

📄 Article: The relationship between perceived stress and pregnancy distress with self-care of pregnant women: The mediating role of social support—A cross-sectional study

  • Authors: Bahrami-Samani, S., Omidvar, S., Mohsenzadeh-Ledari, F., Ashrafpour, M., Kordbagheri, M.
  • Year of Publication: 2023
  • Citations: 0

 

 

 

Soumaila Gansonre | Economics, Econometrics and Finance | Best Researcher Award

Assist Prof Dr. Soumaila Gansonre | Economics, Econometrics and Finance | Best Researcher Award

Université Joseph Ki-Zerbo | Burkina Faso

Author Profile

Scopus

Early Academic Pursuits

Dr. Soumaila Gansonre's academic journey began with a strong foundation in economics at Université Thomas Sankara, where he earned his B.A. in Macroeconomics and Development Planning in 2010. He continued at the same institution to complete his M.Phil in Applied Macroeconomics in 2012. Driven by a passion for agricultural and development economics, he pursued his Ph.D. in Applied Agricultural Economics and Policy at the University of Ghana, graduating in 2017. His dissertation, which focused on sustainability and development within agricultural sectors, laid the groundwork for his future research endeavors.

Professional Endeavors

After completing his Ph.D., Dr. Gansonre joined Cornell University as a fellow in the Structural Transformation of African Agriculture and Rural Spaces (STAARS) program, a position he held from May 2018 to May 2019. This role involved conducting advanced research on agricultural economics and rural development. Concurrently, he worked as an independent consultant at the Charles H. Dyson School of Applied Economics and Management. Since June 2019, Dr. Gansonre has been serving as an Assistant Professor of Agricultural Economics at the Centre Universitaire de Ziniaré, Université Joseph Ki-Zerbo in Burkina Faso.

Contributions and Research Focus

Dr. Gansonre's research interests are deeply rooted in development economics, with a particular focus on applied agricultural economics and policy. His studies often address the impacts of environmental and economic variables on agricultural households and rural communities. Notable publications include his analysis of rainfall variability on rural welfare in Niger and his examination of managerial practices on the performance of SMEs in Burkina Faso. His work is characterized by a strong quantitative approach, utilizing tools like Stata, Matlab, and Eviews for data analysis.

Accolades and Recognition

Dr. Gansonre has received numerous fellowships, grants, and awards in recognition of his contributions to agricultural economics. In 2022, he was awarded a Project Development Grant by the Agricultural Technology Adoption Initiative (ATAI) to study contract farming compliance in Burkina Faso. He also secured a significant research grant from the Center for Economic Policy Research (CEPR) in 2020 to analyze the impact of COVID-19 relief measures on SME employment. His scholarly excellence is further evidenced by his postdoctoral fellowship at Cornell University and various exploratory research grants from prestigious institutions.

Impact and Influence

Dr. Gansonre's work has significantly influenced the field of development economics, particularly in the context of West Africa. His research on non-farm employment and market constraints has provided valuable insights into the economic behaviors and challenges faced by rural households and smallholder farmers. His findings have been published in high-impact journals such as Agricultural Economics and the International Journal of the Economics of Business, contributing to the broader academic discourse on sustainable development and agricultural policy.

Legacy and Future Contributions

As Dr. Gansonre continues his academic and research career, he is poised to further advance our understanding of development economics through innovative research and applied policy analysis. His future projects include assessing the potential of livestock in poverty reduction and evaluating rural infrastructure's impact on food insecurity in the Sahel. Through his teaching at Université Joseph Ki-Zerbo, he is also shaping the next generation of economists, imparting critical analytical skills and a deep understanding of economic development principles.

Notable Publications

Rainfall variability and welfare of agricultural households: Evidence from rural Niger 2024

Sustainability and Wealth of Rural Households: Measurement and Inequality Analysis 2022 (2)

Managerial practices and the performance of small and medium-sized enterprises: Evidence from Burkina Faso 2023

Product market competition and management quality among small and medium-sized enterprises: Evidence from Burkina Faso 2022 (2)
Welfare impacts of non-farm employment in semi-arid areas: evidence from Burkina Faso 2021 (4)