Sanchari Guha Niyogi | Operations Management | Best Researcher Award

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Ms. Sanchari Guha Niyogi | Operations Management | Best Researcher Award

PhD Student at IIM Kozhikode, India

Sanchari Guha Niyogi is a doctoral candidate at the Indian Institute of Management, Kozhikode, specializing in supply chain modeling, game theory, and electric vehicle (EV) market dynamics. With a strong academic background in engineering and management, she has published extensively in ABDC-ranked journals and presented at prestigious conferences. Her research focuses on optimizing EV supply chains, policy design, and strategic decision-making in platform-based economies.

Publication Profile 

Orcid

Educational Background 🎓

  • Doctor of Philosophy (Ph.D.) – Indian Institute of Management, Kozhikode (2021-2025, Expected)
    • Thesis: “Charging Ahead: A Multistakeholder Analysis of the Electric Vehicle Revolution”
    • GPA: 3.67/4
  • Bachelor of Engineering (Printing Engineering) – Jadavpur University, Kolkata (2017-2021)
    • Gold Medalist
    • GPA: 9.29/10

Professional Experience 💼

  • Researcher & Case Author – IIM Kozhikode
    • Developed case studies published in The Case Centre, Financial Express, and IIMK Case Repository.
    • Collaborated with senior faculty on game-theoretic models and supply chain policy frameworks.
  • Conference Presenter & Organizer
    • Delivered research findings at global conferences (POMS, IEEM, IIM Ahmedabad).
    • Hosted and anchored key academic events, including the Globalising Indian Thought Conclave (2023) and ICA Asia-Pacific Research Conference (2024).

Research Interests 🔬

  • Electric Vehicle Supply Chain & Policy Design
  • Game Theory & Optimization in Operations Management
  • Platform-based Business Models & Sharing Economy
  • Sustainable Mobility & Green Energy Transition

Awards and Honors🏆✨

  • Gold Medalist – Jadavpur University (2021)
  • Outstanding Woman Researcher – Springer Nature India & Indian Council of Social Science Research (2024)

Conclusion🌟

Sanchari Guha Niyogi is a distinguished young researcher making significant contributions to EV policy, sustainable supply chains, and strategic operations management. With a strong academic foundation, impactful publications, and an active role in professional organizations, she is shaping the discourse on electric mobility and platform economies.

Publications 📚

  1. 🚗⚡ Accelerating the Electric Vehicle Revolution: Policy Implications of Charging Subsidies and Green Taxes
    📖 EURO Journal on Transportation and Logistics (2025)
    🔗 DOI: 10.1016/j.ejtl.2025.100152
    ✍️ Contributor: Sanchari Guha Niyogi
    📜 ISSN: 2192-4376

  1. 🏠🚀 Airbnb on MARS: A Pricing Odyssey
    📖 The Case Centre
    ✍️ Contributors: Sanchari Guha Niyogi, Shovan Chowdhury

  2. 🚖⚡ BluSmart’s Electric Trick: Reshaping India’s Ride-hailing Landscape
    📖 The Case Centre
    ✍️ Contributors: Sanchari Guha Niyogi, Arqum Mateen

  3. ⚡🏍️ Re-Volt Rush: Gogoro’s Electrifying India Debut
    📖 The Case Centre
    ✍️ Contributors: Sanchari Guha Niyogi, Arqum Mateen

 

 

 

Ikhlef JEBBOR | Industrial engineering | Excellence in Research

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Dr. Ikhlef JEBBOR | Industrial engineering | Excellence in Research

ibn Tofail University at National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco

A Ph.D. candidate in Sustainable Optimization of Manufacturing and Supply Chain with extensive experience in both academia and industry. Focuses on lean manufacturing, production optimization, and AI for sustainable development. Currently an Engineering Project Leader at Sumitomo Electric Wiring Systems (SEWS-E), leading process improvements in the automotive industry. Expert in project management, operational research, and continuous improvement strategies such as Six Sigma and Kaizen. Has published numerous peer-reviewed articles and presented at international conferences on sustainability and advanced manufacturing techniques.

Professional Profile

Scopus Profile

Education:

  • Ph.D. in Sustainable Optimization of Manufacturing and Supply Chain (ENSA Kenitra, Ibn Tofail University, 2022 – Current)
  • State Engineer, Industrial Engineering (GI) (FST Errachidia, Moulay Ismail University, 2010 – 2013)
  • Physics & Chemistry Teacher Education Diploma (CPR Mohamed V SAFI, Morocco, 2009 – 2010)
  • Professional University Degree, Renewable Energies and Sustainable Development (ERDD) (Faculty of Sciences -Agadir, Ibn Zohr University, 2007 – 2009)
  • General University Degree, Physical Matter Sciences (SMP) (Faculty of Sciences -Agadir, Ibn Zohr University, 2005 – 2007)
  • BAC, Experimental Science (Salah Eddin Elayyoubi High School, Tinghir, 2005)

Professional Experience:

Sumitomo Electric Wiring Systems (SEWS-E)

  • Engineering Project Leader (Feb 2021 – Current)
  • Senior Project Engineer (Aug 2018 – Jan 2021)
  • Process Engineer (Sep 2015 – Aug 2018)
  • Work Study Engineer (May 2014 – Aug 2015)

Research Interests:

  • Facilities Design and Optimization
  • Lean Manufacturing
  • Production Planning and Scheduling
  • Supply Chain Management
  • Mathematical Modeling and Optimization

Awards and Honors:

  • Outstanding Project Leader Award
    Sumitomo Electric Wiring Systems (SEWS-E), 2022
    Recognized for leading key process improvements in automotive production, significantly enhancing efficiency and innovation.
  • Excellence in Lean Manufacturing Implementation
    Sumitomo Electric Wiring Systems (SEWS-E), 2020
    Awarded for implementing lean manufacturing strategies that resulted in significant cost savings and production efficiency.
  • Best Paper Award
    International Conference on Industrial Engineering and Applications (ICIEA), 2023
    Awarded for presenting the paper on “Improvement of an Assembly Line in the Automotive Industry: A Case Study in Wiring Harness Assembly Line.”
  • Research Excellence Award
    ENSA Kenitra, Ibn Tofail University, 2022
    For contributions to sustainable optimization of manufacturing and supply chain research, particularly in the automotive industry.
  • Innovation Award for Sustainable Practices
    Sustainability and Advanced Manufacturing Techniques Conference, 2023
    Honored for innovative research in applying AI and optimization techniques for sustainable manufacturing practices.

Conclusion:

With an extensive background in industrial engineering, lean manufacturing, and AI applications, I have consistently delivered impactful results in both academia and industry. My experience as an Engineering Project Leader at Sumitomo Electric Wiring Systems (SEWS-E) and my ongoing doctoral research on the sustainable optimization of manufacturing and supply chain systems equip me with a strong foundation for tackling complex industry challenges.

Through my research, publications, and practical experience, I aim to contribute to the development of more efficient, sustainable, and innovative manufacturing processes. I am committed to driving continuous improvement through the application of cutting-edge methodologies such as Six Sigma, Kaizen, and AI-driven optimizations. As I continue to advance in both academia and industry, I strive to shape the future of sustainable industrial engineering and contribute to global efforts for sustainable development.

Publication Top Notes

  1. 📊 Article: Forecasting supply chain disruptions in the textile industry using machine learning: A case study
    • Authors: Jebbor, I., Benmamoun, Z., Hachimi, H.
    • Journal: Ain Shams Engineering Journal, 2024, 15(12), 103116
    • Citations: 1
  2. 🌍 Conference Paper: Optimization of Carbon Emissions in Asphalt Pavement Construction
    • Authors: Benmamoun, Z., Elkhechafi, M., Abdo, A.A., Jebbor, I.
    • Conference: 10th Edition of the International Conference on Optimization and Applications, ICOA 2024 – Proceedings
    • Citations: 0
  3. 🧠 Conference Paper: Comparison of Generative AI Models in Supply Chain Management: Benefits, Applications and Challenges
    • Authors: Khlie, K., Benmamoun, Z., Jebbor, I., Hachimi, H.
    • Conference: 10th Edition of the International Conference on Optimization and Applications, ICOA 2024 – Proceedings
    • Citations: 0
  4. 🤖 Article: Generative AI for enhanced operations and supply chain management
    • Authors: Khlie, K., Benmamoun, Z., Jebbor, I., Serrou, D.
    • Journal: Journal of Infrastructure, Policy and Development, 2024, 8(10), 6637
    • Citations: 1
  5. 🌱 Article: Revolutionizing cleaner production: The role of artificial intelligence in enhancing sustainability across industries
    • Authors: Jebbor, I., Benmamoun, Z., Hachmi, H.
    • Journal: Journal of Infrastructure, Policy and Development, 2024, 8(10), 7455
    • Citations: 1
  6. 📉 Article: Leveraging variational autoencoders and recurrent neural networks for demand forecasting in supply chain management: A case study
    • Authors: Khlie, K., Benmamoun, Z., Fethallah, W., Jebbor, I.
    • Journal: Journal of Infrastructure, Policy and Development, 2024, 8(8), 6639
    • Citations: 5
  7. 📚 Conference Paper: Application of Fuzzy Logic for Evaluating Student Learning Outcomes in E-Learning
    • Authors: Mousse, M.A., Almufti, S.M., García, D.S., Aljarbouh, A., Tsarev, R.
    • Conference: Lecture Notes in Networks and Systems, 2024, 935 LNNS, pp. 175–183
    • Citations: 2
  8. 🚗 Conference Paper: Application of Manufacturing Cycle Efficiency to Increase Production Efficiency: Application in Automotive Industry
    • Authors: Jebbor, I., Benmamoun, Z., Hachimi, H.
    • Conference: 2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2024
    • Citations: 3
  9. 🔧 Conference Paper: Process Improvement of Taping for an Assembly Electrical Wiring Harness
    • Authors: Jebbor, I., Raouf, Y., Benmamoun, Z., Hachimi, H.
    • Conference: Lecture Notes in Business Information Processing, 2024, 507 LNBIP, pp. 35–48
    • Citations: 3
  10. ⚙️ Article: Optimizing Manufacturing Cycles to Improve Production: Application in the Traditional Shipyard Industry
  • Authors: Jebbor, I., Benmamoun, Z., Hachimi, H.
  • Journal: Processes, 2023, 11(11), 3136
  • Citations: 10

 

 

 

Muhammad Ahsan Saleem | Additive Manufacturing | Best Researcher Award

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Mr. Muhammad Ahsan Saleem | Additive Manufacturing | Best Researcher Award

Ph.D. Student at Nanjing University of Science and Technology, China

Muhammad Ahsan Saleem is an innovative Mechatronics Engineer currently pursuing a Doctorate in Mechanical Engineering at Nanjing University of Science and Technology. With expertise in data-driven applications for 3D printing and machine learning, he works at the cutting edge of material science, electronics, and mechanical systems. Passionate about interdisciplinary collaboration, he applies his technical expertise to solving complex engineering challenges. His hands-on experience includes projects in servo motor control, smart applications, and multi-material 3D printing. Muhammad’s work contributes to significant advancements in the fields of automation, manufacturing, and functional electronics. 🛠️🔬📐

Publication Profile : 

Scopus

Educational Background 🎓

Muhammad Ahsan Saleem holds a Doctor of Engineering in Mechanical Engineering (ongoing, since 2020) from Nanjing University of Science and Technology, China. He completed his Master of Engineering in Mechanical Engineering in 2018 and his Bachelor of Science in Mechatronics Engineering in 2013, both from the same institution in Nanjing, China, and University of Engineering and Technology (UET) Taxila, Pakistan, respectively.

Professional Experience 💼

Currently, Muhammad is a Researcher at Nanjing University of Science and Technology (2020-present), where he collaborates on building plans, timelines, and proposal writing for product development in the fields of 3D printing, inkjet printing, and data-driven approaches for high-viscosity inks. His role involves experiment design for optimizing inkjet printing processes and the development of multi-material ink applications. Prior to this, he worked as a Mechatronics Engineer at Enginesound Automation Technology in Shanghai (2019), where he designed and implemented a Flexible Bend Control (FBC) device for textile machine calibration and developed an android app for wireless data transfer using Bluetooth. His work also includes performance analysis of electric motors and the design of test benches for comprehensive motor analysis. Earlier, he interned as a Trainee Engineer at Attock Refinery Limited, Pakistan, in 2015, working on HVAC equipment installation and maintenance.

Research Interests 🔬

Muhammad’s research spans 3D printing, machine learning, and materials science, with particular focus on inkjet printing technology, piezoelectric inks, and multi-material composites. He explores data-driven methodologies to improve the precision of 3D-printed electronic circuits and has contributed to studies on the jetting behaviors of high-viscosity inks and functional electronics printing.

Publications 📚

Rehman, A. U., Saleem, M. A., Liu, T., Pitir, F., & Salamci, M. U. (2022). Influence of Silicon Carbide on Direct Powder Bed Selective Laser Process (Sintering/Melting) of Alumina. Materials, 15(2), 637. https://doi.org/XXXXXX

Aslam, M. S., Qaisar, I., & Saleem, M. A. (2020). Quantized Event-triggered feedback control under fuzzy system with time-varying delay and actuator fault. Nonlinear Analysis: Hybrid Systems, 35, 100823. https://doi.org/XXXXXX

 

 

 

Rezgar Hasanzadeh | Manufacturing | Young Scientist Award

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Assist. Prof. Dr. Rezgar Hasanzadeh | Manufacturing | Young Scientist Award

Assitant Professor at Kermanshah University of Technology, Iran

Dr. Rezgar Hasanzadeh is an Assistant Professor at Kermanshah University of Technology, with a background in Mechanical Engineering from Urmia University. His research focuses on polymers, polymeric foams, and plastic waste management. 🎓🌍

Dr. Hasanzadeh earned his B.Sc., M.Sc., and Ph.D. from Urmia University, graduating with top honors and receiving several prestigious awards, including the Distinguished Researcher of West Azerbaijan Province and Shahid Chamran Award from Iran’s National Elites Foundation. 🏅🌟

Publication Profile : 

Scopus

🎓 Educational Background :

  • B.Sc. in Mechanical Engineering
    Urmia University (2009-2013) – GPA: 16.38/20
  • M.Sc. in Mechanical Engineering
    Urmia University (2013-2015) – GPA: 18.86/20
  • Ph.D. in Mechanical Engineering
    Urmia University (2015-2019) – GPA: 19.76/20
    Thesis: Effect of Structural Properties on the Thermal-Insulation Properties of Polymeric Hybrid Nanocomposite Foams

👨‍🏫 Professional Experience :

  • Assistant Professor
    Kermanshah University of Technology (2024–Ongoing)
  • Lecturer
    Urmia University (2017–2024)
  • Teaching Fellow
    Urmia University, Professor Taher Azdast (2015–2024)
  • Lecturer
    Technical and Vocational University, Urmia Branch (2016–2023)

🔬 Research Interests : 

  • Polymers & Polymeric Foams
  • Plastic Waste Treatment & Management ♻️
  • Gasification Process 🌱
  • Thermal-Insulation Polymeric Foams
  • Polymeric Nanocomposites
  • 3D & 4D Printing 🖨️
  • Injection Molding/Extrusion Process
  • Plastic Processing & Technology
  • Multi-Objective Optimization

📝 Publication Top Notes :

  1. Hasanzadeh, R., & Mojaver, P. (Eds.). (2023). Plastic Waste Treatment and Management: Gasification Processes. Springer Nature.
  2. Hasanzadeh, R., Doniavi, A., & Rosen, M.A. (2023). Multi-criteria Decision-Making Analysis of Plastic Waste Gasification. In R. Hasanzadeh & P. Mojaver (Eds.), Plastic Waste Treatment and Management (Engineering Materials). Springer, Cham. https://doi.org/10.1007/978-3-031-31160-4_8
  3. Hasanzadeh, R., & Azdast, T. (2023). Evaluation of Steam Polyurethane Foam Waste Gasification. In R. Hasanzadeh & P. Mojaver (Eds.), Plastic Waste Treatment and Management (Engineering Materials). Springer, Cham. https://doi.org/10.1007/978-3-031-31160-4_7
  4. Hasanzadeh, R., Azdast, T., & Park, C.B. (2023). Evaluation of Air Polyurethane Foam Waste Gasification. In R. Hasanzadeh & P. Mojaver (Eds.), Plastic Waste Treatment and Management (Engineering Materials). Springer, Cham. https://doi.org/10.1007/978-3-031-31160-4_6
  5. Gharibi, A.R., Babazade, R., & Hasanzadeh, R. (2023). Collected Plastic Waste Forecasting by 2050. In R. Hasanzadeh & P. Mojaver (Eds.), Plastic Waste Treatment and Management (Engineering Materials). Springer, Cham. https://doi.org/10.1007/978-3-031-31160-4_2
  6. Azdast, T., Hasanzadeh, R., Lee, R.E., Lee, P.C., Wang, G., & Park, C.B. (2023). High-Pressure Foam Injection Molding of Polylactide/Nano-Fibril Composites with Mold Opening. In Polymeric Foams (pp. 129-139). CRC Press.
  7. Azdast, T., & Hasanzadeh, R. (2018). Polymeric Microcellular Foams: Principles, Basics and Properties. Urmia University Press.
  8. Gharibi, A., Doniavi, E., & Hasanzadeh, R. (2024). Metaheuristic particle swarm optimization for enhancing energetic and exergetic performances of hydrogen energy production from plastic waste gasification. Energy Conversion and Management, 308, 118392. [8 citations]
  9. Aghaiee, S., Azdast, T., Hasanzadeh, R., & Farhangpazhouh, F. (2024). Fabrication of bone tissue engineering scaffolds with a hierarchical structure using combination of 3D printing/gas foaming techniques. Journal of Applied Polymer Science, 141(16), e55238. [1 citation]
  10. Gharibi, A., Babazadeh, R., & Hasanzadeh, R. (2024). Machine learning and multi-criteria decision analysis for polyethylene air-gasification considering energy and environmental aspects. Process Safety and Environmental Protection, 183, 46–58. [8 citations]
  11. Khaleghi, S., Azdast, T., Doniavi, A., & Hasanzadeh, R. (2024). Performance optimization of acrylonitrile butadiene styrene/thermoplastic polyurethane composite foams blown with carbon dioxide using Taguchi technique. Journal of Applied Polymer Science, 141(8), e54996. [1 citation]
  12. Mojaver, M., Azdast, T., & Hasanzadeh, R. (2024). An experimental and numerical study on an innovative metastructure for 3D printed thermoplastic polyurethane with auxetic performance. Polymers for Advanced Technologies, 35(2), e6298. [0 citations]
  13. Doniavi, E., Babazadeh, R., & Hasanzadeh, R. (2024). Polyethylene gasification for sustainable plastic waste management with respect to energy, exergy, and environmental considerations: A non-linear programming optimization. Process Safety and Environmental Protection, 182, 86–97. [7 citations]
  14. Mojaver, P., Hasanzadeh, R., Chitsaz, A., Azdast, T., & Mojaver, M. (2024). Tri-objective central composite design optimization of co-gasification of eucalyptus biomass and polypropylene waste. Biomass Conversion and Biorefinery, 14(4), 4829–4841. [12 citations]
  15. Khaleghi, S., Azdast, T., Hasanzadeh, R., Park, C.B., & Rasouli, A. (2024). Tuning cellular structure in a previously developed microcellular acrylonitrile butadiene styrene/thermoplastic polyurethane blend foams. Polymer Engineering and Science. [0 citations; Article in Press]
  16. Azerang, B., Azdast, T., Doniavi, A., & Hasanzadeh, R. (2024). Acrylonitrile butadiene styrene/multi-walled carbon nanotubes nanocomposite foams for electromagnetic interference shielding with optimized performance. Journal of Thermoplastic Composite Materials. [0 citations; Article in Press]
  17. Hasanzadeh, R., Mihankhah, P., Azdast, T., Bodaghi, M., & Moradi, M. (2024). Process-property relationship in polylactic acid composites reinforced by iron microparticles and 3D printed by fused filament fabrication. Polymer Engineering and Science, 64(1), 399–411. [9 citations]