Huifeng Bai | Business, Management and Accounting | Best Researcher Award

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Dr. Huifeng Bai | Business, Management and Accounting | Best Researcher Award 

Senior Lecturer | Liverpool John Moores University | United Kingdom

Dr. Huifeng Bai demonstrates strong suitability for a Best Researcher Award, backed by extensive academic, professional, and research achievements across international marketing, consumer behaviour, and fashion marketing. Currently serving as Senior Lecturer in Marketing & Public Relations at Liverpool Business School, Liverpool John Moores University since 2018, he has consistently contributed to impactful teaching, research, and doctoral supervision, evidenced by the successful guidance of PhD candidates and ongoing supervision roles. His academic foundation includes a PhD in Marketing and multiple postgraduate qualifications from leading UK institutions, strengthening his methodological and theoretical expertise. Dr. Bai has published in ABS-ranked journals, served as a reviewer and editorial board member for respected academic journals, and secured competitive research funding, including projects supported by Research England and the Japan Society for the Promotion of Science. His research portfolio spans international marketing strategies, emerging market multinationals, fashion retailing, sustainability-focused consumption, and consumer behaviour in global contexts, highlighted by work related to hydrogen-fuel innovation and luxury fashion consumption. Beyond academia, his professional consultancy experience enhances the relevance and industry alignment of his research, advising firms on market entry, internationalisation, branding, and strategic growth in China and the UK. His international recognition is further demonstrated by visiting professorships in Japan and China, invited lectures across Europe, and external examiner roles in UK higher education institutions. Dr. Bai’s contributions reflect strong commitment to advancing global marketing knowledge, fostering cross-border academic collaboration, and supporting sustainability and innovation in consumer markets, positioning him as an impactful and forward-thinking scholar whose research, teaching excellence, and industry influence make him highly deserving of recognition as a Best Researcher Award candidate.

Profiles: Google Scholar | ORCID | ResearchGate | LinkedIn

Featured Publications

  1. Bai, H., Liu, H., & Smith, J. (2023). Internationalisation strategies of emerging market multinationals: Evidence from the fashion industry. Journal of International Marketing, 31(2), 45-63.

  2. Bai, H., Chen, Y., & Zhao, L. (2022). Consumer behaviour in pre-loved luxury fashion: Insights from Chinese consumers. Journal of Fashion Marketing and Management, 26(4), 512-530.

  3. Bai, H., & Wang, X. (2021). Sustainability in luxury fashion: Examining the role of consumer perception and brand strategy. SN Business & Economics, 1(7), 1-18.

  4. Bai, H., & Roberts, K. (2020). Market entry strategies for SMEs in emerging markets: A case study approach. International Marketing Review, 37(5), 843-864.

  5. Bai, H., & Li, J. (2019). Branding and internationalisation of emerging market multinational enterprises: Challenges and opportunities. European Journal of Marketing, 53(9), 1875-1897.

 

Dr. Huifeng Bai’s research advances global understanding of international marketing, consumer behaviour, and sustainable business practices, bridging academic theory with real-world industry applications. His work informs strategic decision-making for multinational enterprises, fosters innovation in emerging markets, and promotes socially responsible consumption, contributing meaningfully to both global business knowledge and societal impact.

Shayesteh Tabatabaei | Organizational | Best Researcher Award

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Assoc Prof Dr. Shayesteh Tabatabaei, Individual Differences, Best Researcher Award

Associate Professor at Higher education complex of Saravan, Iran

Summary:

Dr. Shayesteh Tabatabaei is an accomplished academic and researcher specializing in computer engineering. She earned her Ph.D. from Tehran Science and Research University, where she focused on developing intelligent routing protocols for mobile ad-hoc networks. With a solid foundation in wireless sensor networks, IoT, and optimization algorithms, Dr. Tabatabaei has made significant contributions to her field. She has been recognized multiple times as a top researcher and is dedicated to advancing knowledge through both teaching and research. Dr. Tabatabaei’s expertise extends to programming and simulation tools, enhancing her research and instructional capabilities.

Professional Profile:

👩‍🎓Education:

Ph.D. in Computer Engineering, Tehran Science and Research University, Tehran, Iran (2010-2015)

  • Dissertation: “Present New Intelligent Routing Protocol for Mobile Ad-Hoc Network”
  • Supervisor: Dr. M. Teshnehlab
  • GPA: 18.63/20.00

M.Sc. in Computer Engineering, Islamic Azad University of Shabestar, Shabestar, Iran (2007-2009)

  • Thesis: “Improving the AODV Routing Protocol Using Reinforcement Learning”
  • Supervisor: Dr. MA. Jabraeil Jamali
  • GPA: 18.69/20.00

B.Sc. in Computer Engineering, Islamic Azad University of Shabestar, Shabestar, Iran (2002-2006)

  • GPA: 17.12/20.00

Professional Experience:

Dr. Shayesteh Tabatabaei is an Associate Professor with a robust academic and teaching background in computer engineering. She has extensive experience teaching at the undergraduate and graduate levels, covering courses such as Advanced Database Systems, Distributed Systems, Parallel Algorithms, and Fuzzy Logic for M.Sc. students, and Intelligent Artificial Systems, C and C++ Programming, Operating Systems, Database Systems, Computer Networks, and HTML for B.Sc. students. Her teaching career spans several institutions, including the Higher Educational Complex of Saravan, Sistan Baluchestan University, and various branches of Islamic Azad University (Bonab, Malekan, Miyandoab, Miyaneh, Zahedan).

Dr. Tabatabaei has also organized numerous training workshops focusing on wireless networks, IoT, and ISI article writing, demonstrating her commitment to continuous learning and professional development.

Research Interest:

  • Wireless Sensor Networks
  • Mobile Ad-Hoc Networks
  • Internet of Things (IoT)
  • Routing Protocols
  • Intelligent Algorithms
  • Optimization Algorithms
  • Intelligent Systems

Publications Top Noted: 

A novel fault tolerance energy-aware clustering method via social spider optimization (SSO) and fuzzy logic and mobile sink in wireless sensor networks (WSNs)

  • Comput. Syst. Sci. Eng., 35(6), 477-494, 2020
  • Citations: 60

A novel energy-aware clustering method via Lion Pride Optimizer Algorithm (LPO) and fuzzy logic in wireless sensor networks (WSNs)

  • Wireless Personal Communications, 108, 1803-1825, 2019
  • Citations: 38

Proposing an energy-aware routing protocol by using fish swarm optimization algorithm in WSN (wireless sensor networks)

  • Wireless Personal Communications, 119(3), 1935-1955, 2021
  • Citations: 35

A new method to find a high reliable route in IoT by using reinforcement learning and fuzzy logic

  • Wireless Personal Communications, 112(2), 967-983, 2020
  • Citations: 31

Reliable routing algorithm based on clustering and mobile sink in wireless sensor networks

  • Wireless Personal Communications, 108(4), 2541-2558, 2019
  • Citations: 24