Assoc. Prof. Dr. Abdollah Arasteh | Industrial Engineering | Best Researcher Award

Assoc. Prof. Dr. Abdollah Arasteh, Babol Noshirvani University of Technology, Iran

Assoc. Prof. Dr. Abdollah Arasteh, born on September 13, 1981, in Sari, Iran, is a distinguished academic in Industrial Engineering. He serves as a faculty member at Babol Noshirvani University of Technology. With a strong foundation in strategic investment evaluation and knowledge management, Dr. Arasteh combines analytical expertise with practical insight. His interdisciplinary research spans real options theory, systems engineering, and facility planning. Known for his contributions to higher education and scholarly research, he actively participates in national-level initiatives and academic mentorship. Dr. Arasteh continues to influence the field through teaching, research, and leadership in engineering innovation. 🌍📘🛠️

🎓 Education

Dr. Arasteh earned his PhD in Industrial Engineering from Iran University of Science and Technology (2010–2014), graduating with excellent distinction. His doctoral research focused on developing real options theory for evaluating complex investment projects under uncertainty. He completed his MSc (2008–2010) and BSc (1999–2003) in Industrial Engineering at Amirkabir University of Technology. His master’s thesis explored the integration of knowledge management in educational institutions. Both theses were supervised by prominent experts in the field. Throughout his academic path, Dr. Arasteh has consistently demonstrated academic excellence and a strong commitment to research innovation in industrial and systems engineering. 🧠📚🔧

💼 Experience

Dr. Abdollah Arasteh is currently an Associate Professor at Babol Noshirvani University of Technology, where he engages in both teaching and research. His academic career spans over a decade, focusing on advanced topics in engineering statistics, decision-making models, and investment analysis. He has mentored students, led departmental research activities, and participated in curriculum development. Prior to his academic appointments, he worked on applied projects involving knowledge systems and facility management. His professional experience bridges theory and practice, contributing to Iran’s academic and industrial sectors through consulting, training, and policy advisory in industrial engineering. 🏫🔍📈

🏅 Awards and Honors

Dr. Arasteh was awarded a prestigious Fellowship by Iran’s Ministry of Science, Education and Technology for his PhD studies at Babol Noshirvani University of Technology (2013–2014). This recognition highlights his academic excellence and leadership potential in industrial engineering. His consistent academic performance and innovative thesis work earned him top honors during his postgraduate studies. He is recognized among peers for advancing real options theory and knowledge systems in engineering contexts. His accolades reflect his dedication to academic integrity, innovation, and societal contribution, positioning him as a respected figure in Iran’s scientific and educational landscape. 🎖️📜🏆

🔬 Research Focus

Dr. Arasteh’s research primarily centers on Real Options Analysis (ROA), applying financial option theories to real-world investment decisions under uncertainty. He has also contributed significantly to Knowledge Management, focusing on organizational learning and strategic knowledge use. His work in Engineering Statistics includes design of experiments, quality control, and probabilistic design, aiding industrial efficiency and innovation. Additionally, he explores Facilities Planning, integrating systems thinking into spatial and infrastructural optimization. His interdisciplinary approach connects financial theory, systems modeling, and human factors, aiming to improve strategic decision-making across industrial and educational domains. 📊🧩🏗️

Publication Top Notes

📘 Considering the investment decisions with real options games approach 🔁 32 📅 2017 🌱📈
📘 Application of gray systems and fuzzy sets in combination with real options theory in project portfolio management 🔁 24 📅 2014 ⚙️📊
📘 A multi-stage multi criteria model for portfolio management 🔁 21 📅 2014 📋📉
📘 Combination of real options and game-theoretic approach in investment analysis 🔁 20 📅 2016 🎲💡
📘 Supply chain management under uncertainty with the combination of fuzzy multi-objective planning and real options approaches 🔁 15 📅 2020 🔄📦
📘 A proposed real options method for assessing investments 🔁 14 📅 2014 💰🔍
📘 Sustainable energy development under uncertainty based on the real options theory approach 🔁 10 📅 2022 ♻️⚡
📘 Role of information technology in business revolution 🔁 10 📅 2011 💻🚀
📘 Optimizing inventory management costs in supply chains by determining safety stock placement 🔁 7 📅 2022 📦📏
📘 Risk management of disruption and sustainable development of supply chains 🔁 6 📅 2023 ⚠️🔗
📘 Inventory policies and dynamic pricing under possibility and rivals 🔁 5 📅 2014 💲📈
📘 Considering the game-theoretic approach and ultra combinative costs on scheduling 🔁 5 📅 2014 🕒📊
📘 Considering the business system’s complexity with a network approach 🔁 4 📅 2014 🧠🕸️
📘 Knowledge flows automation and designing a knowledge management framework for educational organizations 🔁 4 📅 2010 🏫🔄
📘 Mathematical modeling of flexible production lines with different part types on unreliable machines by a priority rule 🔁 2 📅 2022 ⚙️🔧
📘 Sustainable Planning of Supply Chains in Large-Scale Systems with Real Options Analysis 🔁 2 📅 2019 🔄🏗️
📘 Investigating the Human Reliability in the Healthcare Sector Using the Fuzzy Analytic Network Process and the Success Likelihood Index Method 🔁 1 📅 2024 🏥🤖

Assoc. Prof. Dr. Zhengsong Wang | Intelligent modeling | Best Researcher Award

Assoc. Prof. Dr. Zhengsong Wang, Northeastern University, China

Zhengsong Wang is an Associate Professor at the School of Information Science and Engineering, Northeastern University, China. He has an extensive academic background in control theory, control engineering, and automation. His research focuses on intelligent modeling, control, and optimization for applications in intelligent transportation systems and pharmaceutical cyber-physical systems. He has authored over 20 refereed journal articles and holds two Chinese invention patents. Zhengsong is a dedicated educator, serving as an advisor in national competitions like the “Siemens Cup” and the Chinese College Students Intelligent Car Competition, earning accolades for his mentorship. As a member of esteemed organizations such as IEEE and the Chinese Society of Automation, he actively contributes to advancing the field of control engineering and automation.

Publication Profile

Scopus

Orcid

🎓 Education

Dr. Zhengsong Wang holds a PhD in Control Theory and Control Engineering (2020) and an MA in Control Engineering (2015) from Northeastern University, China. His undergraduate education in Automation (2012) was completed at Shandong University of Technology. During his academic journey, Zhengsong excelled in bridging theoretical control systems with practical applications, fostering innovation in intelligent transportation and pharmaceutical systems. His educational background laid the foundation for his contributions to modeling and optimization methods for complex industrial processes. With a passion for advancing intelligent systems, Zhengsong’s multidisciplinary approach combines rigorous theoretical principles with modern engineering practices. His academic achievements have positioned him as a leader in integrating control theory with real-world applications.

💼 Experience

Zhengsong Wang has served as an Associate Professor and Lecturer at Northeastern University, China, since 2020. His responsibilities include teaching, mentoring students, and conducting cutting-edge research. With a focus on intelligent systems and optimization, he has collaborated on projects to enhance pharmaceutical cyber-physical systems and intelligent transportation systems. As a research leader, he has secured several competitive grants, driving advancements in drug quality control using innovative modeling techniques. Zhengsong’s advisory roles in national competitions, such as the “Siemens Cup” and the Chinese College Students Intelligent Car Competition, have showcased his ability to inspire and guide students towards excellence. His career reflects a commitment to advancing the field of control engineering through both academic and practical avenues.

🔎 Research Focus

Dr. Zhengsong Wang specializes in intelligent modeling, control, and optimization with applications in intelligent transportation systems and pharmaceutical cyber-physical systems. His work bridges theoretical and practical approaches, addressing challenges in dynamic and complex industrial processes. With over 20 published journal papers and two authorized patents, Zhengsong’s research is both impactful and innovative. Recent projects include knowledge-driven modeling for pharmaceutical quality control and event-triggered control systems, supported by grants from NSFC and Hebei Province. His research outcomes aim to optimize efficiency, reliability, and safety in intelligent systems, contributing significantly to automation and control engineering.

Publication Top Notes

“An Enhanced Vehicle Self-positioning Method During GNSS Outages Using Factor Graph Optimization and CNN-LSTM-Attention”

Authors: Zhengsong Wang, Hao Liu, Ge Guo, Meng Han