Artur Dzeranov | Chemical Engineering | Best Researcher Award

Mr. Artur Dzeranov | Chemical Engineering | Best Researcher Award

Federal Research Center of Problems of Chemical Physics and Medicinal Chemistry RAS | Russia

Mr. Artur Dzeranov is an accomplished researcher and Assistant Professor at the Moscow Aviation Institute (National Research University), specializing in nanomaterials chemistry, environmental remediation, and biotechnical systems. His research focuses on the synthesis and functionalization of iron nanoparticles, metal-organic frameworks, and hybrid nanocomposites, exploring their structural, catalytic, and biological properties. He employs advanced analytical methods such as XRD, Mössbauer spectroscopy, TEM, SEM, and IR spectroscopy to characterize materials with high precision. His studies address the interaction of nanocomposites with biological systems and ecotoxicants, advancing knowledge in sustainable nanotechnology and environmental safety. With 17 peer-reviewed publications, over 107 citations, and a strong collaborative research network, Mr. Artur Dzeranov has made notable contributions to areas such as ferroptosis mechanisms, ecotoxicity prediction using machine learning, and pollutant degradation via Fenton-based catalysis. His innovative approach bridges materials science, biotechnology, and environmental chemistry, marking him as a forward-thinking researcher with significant potential for global scientific impact.

Profile: Scopus | Orcid | ResearchGtae

Featured Publications

Dzeranov, A. A., Pankratov, D. A., Bondarenko, L. S., Dzhardimalieva, G. I., Terekhova, V. A., Tropskaya, N. S., Dzhalmukhanova, A. S., & Kydralieva, K. A. (2025). Representative pH-dependent system based on humic acids-modified magnetite nanoparticles (Fe₃O₄-HA) for enhanced ciprofloxacin sorption. Separation and Purification Technology, 135808.

Bondarenko, L., Baimuratova, R., Dzeranov, A., Pankratov, D., Kicheeva, A., Sushko, E., Kudryasheva, N., Valeev, R., Tropskaya, N., & Dzhardimalieva, G. (2024). Fenton reaction-driven pro-oxidant synergy of ascorbic acid and iron oxide nanoparticles in MIL-88B(Fe). New Journal of Chemistry.

Dzeranov, A., Pankratov, D., Bondarenko, L., Telegina, L., Dzhardimalieva, G., Saman, D., & Kydralieva, K. (2024). Humic acids-modified mesoporous silica encapsulating magnetite: Crystal and surface characteristics. CrystEngComm.

Bondarenko, L., Baimuratova, R., Reindl, M., Zach, V., Dzeranov, A., Pankratov, D., Osmushko, I., Kydralieva, K., Dzhardimalieva, G., & Kolb, D. (2024). Designed magnetic nanoparticles for ferroptosis: Release of iron ions from metal-organic frameworks modified with iron oxides. Materials Today Chemistry, 102332.

Sidorov, M. Y., Gasanov, M. E., Dzeranov, A. A., Bondarenko, L. S., Kiryushina, A. P., Terekhova, V. A., Dzhardimalieva, G. I., & Kydralieva, K. A. (2024). Machine learning-enabled prediction of ecotoxicity (EC₅₀) of diverse organic compounds via infrared spectroscopy. Mendeleev Communications.

Abdollah Arasteh | Industrial Engineering | Best Researcher Award

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 🏥🤖