Sanchari Guha Niyogi | Operations Management | Best Researcher Award

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


 

 

 

Fei Wang | Management Science | Best Researcher Award

Dr. Fei Wang | Management Science | Best Researcher Award

Lecturer at Hebei University of Economics and Business, China

Wang Fei is a lecturer at the School of Management Science and Engineering, Hebei University of Economics and Business. His research focuses on decision theory and methods, with expertise in fuzzy decision-making, multi-criteria decision-making (MCDM), and uncertainty modeling. He has published several high-impact papers in international journals and has led and participated in multiple research projects.

Publication Profile 

Orcid

Educational Background 🎓

  • Ph.D. in Economics and Management (September 2019 – January 2023)
    Yanshan University, School of Economics and Management
  • Master’s Degree in Economics and Management (September 2016 – June 2019)
    Yanshan University, School of Economics and Management

Professional Experience 💼

  • Lecturer (January 2023 – Present)
    School of Management Science and Engineering, Hebei University of Economics and Business

Research Interests 🔬

  • Decision Theory and Methods
  • Multi-Criteria Decision-Making (MCDM)
  • Fuzzy Systems and Uncertainty Modeling
  • Artificial Intelligence in Decision-Making
  • Data Science Applications in Management

Publications & Research Contributions

Wang Fei has authored several journal papers in high-impact publications, including Information Sciences and International Journal of Intelligent Systems. His research contributions include:

  • Development of novel multi-criteria decision-making (MCDM) models using fuzzy logic and prospect theory.
  • Applications of cubic fuzzy sets and similarity measurements in decision-making problems.
  • Exploration of neutrosophic and hesitant fuzzy systems in intelligent decision analysis.

Research Projects

Lead Investigator:

  • Hebei Education Department Science Research Project: “Research on Cubic Fuzzy Multi-Criteria Decision-Making Method and Its Applications” (Project No. BJK2024132)

Co-Investigator:

  • Public Opinion and Threat Analysis in Social Networks (Project No. 2019041201003)
  • Spatiotemporal Fuzzy Grading for Service Group Recommendation (Project No. HB19GL009)
  • Fuzzy Situation Analysis in Public Crisis Management (Project No. SQ201031)

Awards and Honors🏆✨

  • Recognized for contributions to fuzzy multi-criteria decision-making in academic research.
  • Published in top-tier international journals in the field of decision science and artificial intelligence.
  • Secured research funding for fuzzy logic applications in decision-making.

Conclusion🌟

Wang Fei is an emerging researcher in decision science and fuzzy logic-based multi-criteria decision-making. His work integrates mathematical modeling, uncertainty theory, and artificial intelligence, contributing to the advancement of intelligent decision support systems. As a lecturer and active researcher, he continues to drive innovations in fuzzy MCDM and its real-world applications.

Publications 📚

1️⃣ Novel score function and standard coefficient-based single-valued neutrosophic MCDM for live streaming sales
🏛 Journal: Information Sciences
📅 Date: January 2024
🔗 DOI: 10.1016/j.ins.2023.119836
Contributor(s): Fei Wang


2️⃣ Similarity and Pythagorean reliability measures of multivalued neutrosophic cubic set and its application to multiple‐criteria decision‐making
🏛 Journal: International Journal of Intelligent Systems
📅 Date: January 2022
🔗 DOI: 10.1002/int.22618
📖 ISSN: 0884-8173 / 1098-111X
Contributor(s): Fei Wang, Xiaodong Zhao


3️⃣ Prospect‐theory and geometric distance measure‐based Pythagorean cubic fuzzy multicriteria decision‐making
🏛 Journal: International Journal of Intelligent Systems
📅 Date: August 26, 2021
🔗 DOI: 10.1002/int.22453
Contributor(s): Fei Wang, Xiaodong Zhao