Soroush Safarzadeh | Industrial Engineering | Best Researcher Award

Assist Prof Dr. Soroush Safarzadeh | Industrial Engineering | Best Researcher Award

Assist Prof Dr. Soroush Safarzadeh, Quchan University of Technology, Iran

Assistant Professor Dr. Soroush Safarzadeh would be a strong candidate for the “Research for Best Researcher Award” based on the following considerations:

Publication profile

Scopus

Orcid

Google Scholar

Educational Background

Ph.D. in Industrial Engineering from Isfahan University of Technology with a thesis focused on game theory and energy efficiency. 🌟

Teaching Experience

Extensive teaching roles at Ferdowsi University of Mashhad and Quchan University of Technology, covering a range of subjects in industrial engineering and management. πŸ“š

Research Contributions

Over 20 publications in high-impact journals such as Energy, Journal of Cleaner Production, and Applied Energy. His research spans game theory, energy efficiency, and sustainable development. πŸ“ˆ

Editorial and Review Roles

Active reviewer for prestigious journals including Energy Conversion and Management, Journal of Cleaner Production, and Applied Energy. πŸ•΅οΈβ€β™‚οΈ

Awards and Honors

Recognized for academic excellence with a full scholarship during his M.Sc. and a top rank in the national entrance exam for industrial engineering schools. πŸ†

Technical Consultancy

Provided expert consultancy for Khorasan Regional Electric Company and Neyrperse Company, contributing to research-oriented projects and practical industry solutions. πŸ› οΈ

Publication Top Notes

  • A group multi-criteria decision-making based on best-worst method
    • πŸ“‘ Cited by: 134 | Year: 2018
  • A game theoretic approach for pricing policies in a duopolistic supply chain considering energy productivity, industrial rebound effect, and government policies
    • πŸ“‘ Cited by: 104 | Year: 2019
  • A game theoretic approach for assessing residential energy-efficiency program considering rebound, consumer behavior, and government policies
    • πŸ“‘ Cited by: 97 | Year: 2019
  • A review of optimal energy policy instruments on industrial energy efficiency programs, rebound effects, and government policies
    • πŸ“‘ Cited by: 94 | Year: 2020
  • Solving an extended multi-row facility layout problem with fuzzy clearances using GA
    • πŸ“‘ Cited by: 56 | Year: 2017
  • A hybrid evolutionary game-theoretic and system dynamics approach for analysis of implementation strategies of green technological innovation under government intervention
    • πŸ“‘ Cited by: 39 | Year: 2022
  • Effects of governmental policies on energy-efficiency improvement of hydrogen fuel cell cars: A game-theoretic approach
    • πŸ“‘ Cited by: 38 | Year: 2022
  • A duopolistic game for designing a comprehensive energy-efficiency scheme regarding consumer features: Which energy policy is the best?
    • πŸ“‘ Cited by: 34 | Year: 2020
  • Energy supply chain empowerment through tradable green and white certificates: A pathway to sustainable energy generation
    • πŸ“‘ Cited by: 28 | Year: 2022
  • A game theoretic approach for the duopoly pricing of energy-efficient appliances regarding innovation protection and social welfare
    • πŸ“‘ Cited by: 28 | Year: 2020
  • Time-Of-Use pricing in an energy sustainable supply chain with government interventions: A game theory approach
    • πŸ“‘ Cited by: 27 | Year: 2022
  • A modified lexicographic semi-order model using the best-worst method
    • πŸ“‘ Cited by: 16 | Year: 2018
  • A heuristic scheduling method for the pipe-spool fabrication process
    • πŸ“‘ Cited by: 16* | Year: 2018
  • Producing two substitutable products under a supply chain including two manufacturers and one retailer: A game-theoretic approach
    • πŸ“‘ Cited by: 7 | Year: 2023
  • Product safety assessment in a dairy dual-channel supply chain using game theory
    • πŸ“‘ Cited by: 2 | Year: 2024
  • Vehicle pricing considering EVs promotion and public transportation investment under governmental policies on sustainable transportation development: The case of Norway
    • πŸ“‘ Cited by: 1 | Year: 2024
  • An Evolutionary Game-Theoretic Approach for Analysis of Green Innovation and Environmental Performance of Tech Firms under Stakeholders’ Policies Based on System Dynamics
    • πŸ“‘ Cited by: 1 | Year: 2024
  • Investigating big data investment in a three-level green supply chain: A game theoretic approach
    • Year: 2025
  • A game theoretic approach for green supply chain management in a big data environment considering cost-sharing models
    • Β Year: 2024
  • A game theoretic approach for tradable white certificates regarding energy rebound and government intervention
    • Β Year: 2024

Conclusion

Dr. Safarzadeh’s extensive research, significant teaching contributions, and active involvement in academic and industry-related activities demonstrate a high level of expertise and impact in his field. His strong publication record and roles as a journal reviewer further highlight his commitment to advancing industrial engineering research, making him a suitable candidate for the Research for Best Researcher Award.

Aqib Mashood Khan | Manufacturing Award | Young Scientist Award

Dr. Aqib Mashood Khan | Manufacturing Award | Young Scientist Award

Dr. Aqib Mashood Khan, Nanjing University of Aeronautics and Astronautics, China

Dr. Aqib Mashood Khan has an extensive educational background and professional experience in the field of mechanical engineering, particularly in manufacturing and automation. He holds a Ph.D. in Mechanical Manufacture and Automation from Nanjing University of Aeronautics and Astronautics, China, with a specialization in sustainable machining. His dissertation focused on investigating resource-based energy consumption in sustainable machining with lubricooling approaches.

Publication Profile

Orcid

Google Scholar

Education

Ph.D. in Mechanical Manufacture and Automation from Nanjing University of Aeronautics and Astronautics, China

M.Sc. in Industrial Engineering with a specialization in Manufacturing from the University of Engineering and Technology, Taxila, Pakistan

B.Sc. in Mechatronics and Control System Engineering from the University of Engineering and Technology, Taxila, Pakistan

Awards and Honors

Outstanding Scholar award from NUAA

Recognition in Stanford’s list of top 2% scientists worldwide

Best paper awards and nominations for various prestigious awards

Teaching Experience

Associate Professor, Assistant Professor, and Chairman in departments related to mechanical engineering and mechatronics. You’ve also been involved in research collaboration with international institutions.

Industrial Experience

Your industrial experience includes internships and training in instrumentation, mechanical engineering, foreign procurement, and involvement in university lab setups.

Research Focus

AM Khan’s research focuses on sustainable machining processes, particularly in the domain of minimum quantity lubrication (MQL) and cryogenic cooling, aiming to enhance machining efficiency while minimizing environmental impact. His work delves into the development and application of novel nano-cutting fluids and hybrid nanofluids, integrating them into machining operations for various materials like titanium alloys and steel. Khan’s investigations also include multi-objective optimization techniques to balance energy consumption, surface quality, and environmental sustainability. Through his research, Khan contributes to advancing eco-friendly machining practices, symbolizing a commitment to both technological innovation and environmental stewardship. πŸŒ±πŸ”§

Publication Top NotesΒ 

  1. Effects of hybrid Al2O3-CNT nanofluids and cryogenic cooling on machining of Ti–6Al–4V πŸ› οΈ Cited by: 216, Year: 2019
  2. A comprehensive review on minimum quantity lubrication (MQL) in machining processes using nano-cutting fluids πŸ“ Cited by: 197, Year: 2019
  3. Investigations of machining characteristics in the upgraded MQL-assisted turning of pure titanium alloys using evolutionary algorithms πŸ” Cited by: 138, Year: 2019
  4. Sustainable milling of Ti–6Al–4V: A trade-off between energy efficiency, carbon emissions and machining characteristics under MQL and cryogenic environment 🌱 Cited by: 115, Year: 2021
  5. Performance evaluation of vegetable oil-based nano-cutting fluids in environmentally friendly machining of inconel-800 alloy 🌿 Cited by: 109, Year: 2019
  6. Energy-based cost integrated modelling and sustainability assessment of Al-GnP hybrid nanofluid assisted turning of AISI52100 steel πŸ’° Cited by: 106, Year: 2020
  7. Multi-Objective Optimization for Grinding of AISI D2 Steel with Al2O3Β Wheel under MQLπŸ”§ Cited by: 96, Year: 2018
  8. Environment and economic burden of sustainable cooling/lubrication methods in machining of Inconel-800 🌎 Cited by: 93, Year: 2021
  9. Cutting performance of textured polycrystalline diamond tools with composite lyophilic/lyophobic wettabilities πŸ’Ž Cited by: 89, Year: 2018
  10. Tool wear, surface quality, and residual stresses analysis of micro-machined additive manufactured Ti–6Al–4V under dry and MQL conditions πŸ”¬ Cited by: 85, Year: 2020