Abdollah Arasteh | Industrial Engineering | Best Researcher Award

Posted on by ScienceFather

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. 🌍📘🛠️

Publication Profile

Google Scholar

🎓 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 🏥🤖

Muhammad Junaid | Material science | Best Researcher Award

Posted on by ScienceFather

Dr. Muhammad Junaid | Material science | Best Researcher Award

Dr. Muhammad Junaid, Islamia University Of Bahawalpur, Pakistan

Dr. Muhammad Junaid is an Assistant Professor at the Institute of Physics, The Superior University Lahore, Multan Campus, Pakistan. He holds a Ph.D. in Semiconductor Nanotechnology from The Islamia University of Bahawalpur. With a strong background in nanomaterials synthesis, his research focuses on photocatalysts for hydrogen production, CO₂ reduction, and water splitting. He has published extensively in high-impact journals and actively contributes as a reviewer and editorial board member. Dr. Junaid has supervised multiple M.Phil. theses and led funded research projects on advanced nanomaterials. His expertise spans metal oxide thin films, graphene synthesis, and biosensors. He has presented at international conferences and authored academic books. Recognized for his contributions, he has received research grants and awards.

Publication Profile

Orcid

🎓 Education

Dr. Muhammad Junaid completed his Ph.D. in Semiconductor Nanotechnology (Physics) from The Islamia University Bahawalpur, Pakistan, focusing on metal oxide thin films for water splitting. He earned his M.Phil. in Nanotechnology from UMT Lahore, where he studied Ba-doped SrTiO₃ for hydrogen generation. His M.Sc. in Physics from Bahauddin Zakariya University Multan laid the foundation for his work in semiconductors. He holds a B.Sc. in Physics and Mathematics from Government College Civil Line, Multan. Earlier, he pursued his F.Sc. in Pre-Engineering from BISE Rawalpindi and Matriculation in Science from BISE Mardan, KPK. His education has equipped him with expertise in nanomaterials synthesis, thin films, and renewable energy applications.

👨‍🏫 Experience

Dr. Muhammad Junaid has over a decade of academic and research experience. Since 2020, he has been serving as an Assistant Professor at The Superior University Lahore, Multan Campus, specializing in physics and physical chemistry. Previously, he worked as a Lecturer at The Superior Group of Colleges/University Multan Campus (2015-2020) and Pak-Turk Maarif International Schools and Colleges (2014-2015). He has successfully supervised multiple M.Phil. research projects, focusing on nanomaterials for energy applications. His contributions include leading research on photocatalytic hydrogen generation and biosensors, securing significant research funding, and collaborating on international projects. Dr. Junaid is also an editorial board member and reviewer for prestigious scientific journals.

🏆 Awards & Honors

Dr. Muhammad Junaid has received several prestigious awards for his research and academic contributions. He secured major research grants, including funding from the Higher Education Commission (HEC) Pakistan and collaborative projects with China’s National Natural Science Foundation. He has been recognized as a distinguished researcher for his high-impact publications in renowned journals like the International Journal of Hydrogen Energy and Chemical Physics Letters. He has also received certifications for his editorial and reviewing contributions to journals such as Scientific Reports (Springer Nature) and Physica B Condensed Matter. His excellence in academia is reflected in his role as a mentor, guiding M.Phil. scholars in cutting-edge nanotechnology research.

🔬 Research Focus

Dr. Muhammad Junaid’s research primarily focuses on the development of photocatalysts for CO₂ reduction, water splitting, and hydrogen production. His work involves synthesizing metal oxide-based nanomaterials, including ZnO, NiO, MoO₃, and Ba-doped SrTiO₃, for renewable energy applications. He specializes in thin-film fabrication using techniques like physical vapor deposition (PVD) and sol-gel synthesis. His contributions extend to graphene-based materials, quantum dots, and biosensors for glucose and urea detection. He explores bandgap tailoring to optimize semiconductor efficiency for green energy solutions. His research projects are funded by national and international agencies, emphasizing sustainable energy and environmental applications.

Publication Top Notes

  • “Industry 4.0 enables supply chain resilience and supply chain performance” (2022) – Cited by 195. ​Google Scholar

  • “Effects of sustainable supply chain integration on green innovation and firm performance” (2022) – Cited by 169. ​Google Scholar

  • “A neutrosophic AHP and TOPSIS framework for supply chain risk assessment in automotive industry of Pakistan” (2019) – Cited by 116. ​Google Scholar

  • “Impact of green HRM practices on sustainable performance: mediating role of green innovation, green culture, and green employees’ behavior” (2023) – Cited by 96. ​Google Scholar+1Google Scholar+1

  • “Nexus between technology enabled supply chain dynamic capabilities, integration, resilience, and sustainable performance: An empirical examination of healthcare organizations” (2023) – Cited by 68. ​Google Scholar

  • “An empirical examination of sustainable supply chain risk and integration practices: A performance-based evidence from Pakistan” (2019) – Cited by 54. ​Google Scholar

  • “Relationship between human resource management practices, relationship commitment and sustainable performance” (2020) – Cited by 31. ​Google Scholar

  • “The role of diffusion of innovation theory towards the adoption of halal meat supply chain” (2023) – Cited by 24. ​Google Scholar

  • “Corporate governance mechanism and performance of insurers in Pakistan” (2020) – Cited by 18. ​Google Scholar

  • “Creating a sustainable future through Industry 4.0 technologies: untying the role of circular economy practices and supply chain visibility” (2024) – Cited by 17. ​Google Scholar

Conclusion 

Dr. Muhammad Junaid’s strong publication record, impactful research, secured research funding, and academic leadership make him a deserving candidate for the Research for Best Researcher Award. His contributions to nanotechnology, renewable energy, and advanced materials are of high significance to the scientific community, aligning well with the award’s criteria.

Ms. TRAN THI BICH CHAU VO | Industrial Engineering and Management | Best Researcher Award

Posted on by ScienceFather

Ms. TRAN THI BICH CHAU VO | Industrial Engineering and Management | Best Researcher Award

Ms. TRAN THI BICH CHAU VO , National Kaohsiung University of Science and Technology, Taiwan

Ms. Tran Thi Bich Chau Vo is a distinguished researcher in the field of Industrial Engineering and Management. She earned her Master’s and Bachelor’s degrees in Industrial Engineering from leading institutions in Vietnam. Currently, Ms. Vo is recognized for her innovative research on optimizing industrial processes and improving management strategies.

Her research focuses on enhancing operational efficiency and integrating advanced technologies in industrial settings. Ms. Vo has published several influential papers in renowned journals and has actively contributed to conferences and workshops in her field.

Her work has made a significant impact on both academic research and practical applications in industrial engineering, making her a deserving candidate for the Best Researcher Award.

Publication profile

Education and Training

Ms. Tran Thi Bich Chau Vo is a dedicated academic and practitioner in Industrial Engineering and Management with extensive experience in both educational and industry settings. She is currently pursuing a Ph.D. in Industrial Engineering and Management at National Kaohsiung University of Science and Technology, Taiwan, expected to be completed by December 2024. Her research focuses on “Improving Processing Efficiency through Workflow Process Reengineering, Simulation, and Value Stream Mapping.”

Previously, Ms. Vo earned a Master of Engineering in Industrial and Systems Engineering from Ho Chi Minh City University of Technology, Vietnam National University, where her thesis was on the “Effects of Lean Manufacturing in a Garment Line at Thanhcong Textile Garment Investment Trading Joint Stock Company (TCG).” She also holds a Bachelor of Engineering in Garment Technology and Fashion from Ho Chi Minh City University of Technology and Education, with a thesis on “Researching the Improved Pattern for the Production Department in An Phu Chau Company.”

Ms. Vo has worked in various roles, including as a Lecturer in the Faculty of Industrial Management at Can Tho University and as Head of the Research & Development Department at TCG. Her industry experience extends to positions at Garment Fashion Limited and a background in simulation and process improvement.

Fluent in Vietnamese and proficient in English, with basic knowledge of Japanese, Ms. Vo has demonstrated strong social, intercultural, and organizational skills. She has been actively involved in academic reviews for journals and conferences and has led several research projects on topics such as Lean Manufacturing and optimization models in supply chains. Her contributions also include significant research grants and projects related to production efficiency and green waste management.

Her expertise in industrial engineering, combined with her academic background and practical experience, underscores her commitment to advancing the field of industrial management.

 

Working Experiances

Ms. Tran Thi Bich Chau Vo has held several notable positions in her career. From October 2012 to July 2014, she served as a Lecturer at the Faculty of Industrial Management at Can Tho University, located on 3/2 Street, Ninh Kieu District, Can Tho City, Vietnam. Prior to this role, she was the Head of the Research & Development Department at Thanhcong Textile Garment Investment Trading Joint Stock Company (TCG) in Ho Chi Minh City, Vietnam, from April 2011 to September 2012. Additionally, Ms. Vo began her professional journey as a staff member in the Work Study Department at Garment Fashion Limited in Bien Hoa, Vietnam.

Publication Top Notes

  • Wang, C. N., Vo, T. T. B. C., Hsu, H. P., Chung, Y. C., Nguyen, N. T., & Nhieu, N. L. (2024). Improving processing efficiency through workflow process reengineering, simulation and value stream mapping: A case study of business process reengineering. Business Process Management Journal. https://doi.org/10.1108/BPMJ-11-2023-0869
  • Wang, C. N., Vo, T. T. B. C., Chung, Y. C., Amer, Y., & Truc Doan, L. T. (2024). Improvement of manufacturing process based on value stream mapping: A case study. Engineering Management Journal, 36(3), 300-318. https://doi.org/10.1080/10429247.2023.2265793
  • Nguyen, N. T., Vo, T. S., Tran-Nguyen, P. L., Nguyen, M. N., Matsuhashi, R., Kim, K., & Vo, T. T. B. C. (2024). A comprehensive review of aeration and wastewater treatment. Aquaculture, 741113. https://doi.org/10.1016/j.aquaculture.2024.741113
  • Tien Nguyen, N., Tran-Nguyen, P. L., & Vo, T. T. B. C. (2024). Advances in aeration and wastewater treatment in shrimp farming: Emerging trends, current challenges, and future perspectives. AQUA—Water Infrastructure, Ecosystems and Society, 73(5), 902-916. https://doi.org/10.2166/aqua.2024.328
  • Vo, T. S., Hoang, T., Vo, T. T. B. C., Jeon, B., Nguyen, V. H., & Kim, K. (2024). Recent trends of bioanalytical sensors with smart health monitoring systems: From materials to applications. Advanced Healthcare Materials, 2303923. https://doi.org/10.1002/adhm.202303923
  • Truong, H. Q., Nguyen, L. T., Bich, C. V. T. T., Nguyen, P. H., & Thu, H. H. T. (2023, February). The impact of buy-back policy and coordination on two-stage supply chain optimization: A computational study of black tiger shrimp supply chain in Vietnam. In AIP Conference Proceedings (Vol. 2482, No. 1). AIP Publishing. https://doi.org/10.1063/5.0111315
  • Thuy, N. T. L., Chau, V. T. T. B., Phong, H. T., & Tham, T. T. (2023, February). Risk priority and risk mitigation approach based on house of risk: A case study with aquaculture supply chain in Vietnam. In AIP Conference Proceedings (Vol. 2482, No. 1). AIP Publishing. https://doi.org/10.1063/5.0113972
  • Tien, N. N., Chau, V. T. T. B., & Hoan, P. V. (2023, February). Optimal microgrid design and operation for sustainable shrimp farming. In AIP Conference Proceedings (Vol. 2482, No. 1). AIP Publishing. https://doi.org/10.1063/5.0110433
  • Nguyen, N. T., Vo, T. T. B. C., Le, P. H., & Wang, C. N. (2023). Improving inventory time in production line through value stream mapping: A case study. Journal of Engineering Science & Technology Review, 16(1), 33-43. ISSN: 1791-2377. Publisher: Kavala Institute of Technology. doi:10.25103/jestr.161.05
  • Vo, T. T. B. C., Nguyen, N. T., Nguyen, T.-D., Phan, V. Q., Vu, D. Q., & Wang, C. N. (2023). Advancements in smart manufacturing through the development of a digital twin platform for smart agents: A review. Proceedings of the International Scientific Conference (ISC) – 2023 “Promoting Academic Capacity and Scientific Research of Learners Adapting to Digital Transformation and Artificial Intelligence”, 218-229