Lázaro Florido-Benítez | Marketing | Best Researcher Award

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Dr. Lázaro Florido-Benítez | Marketing | Best Researcher Award

Dr. Lázaro Florido-Benítez | Marketing | Lecturer and Researcher at University of Málaga | Spain

Prof J. Andres Coca-Stefaniak is a distinguished academic and thought leader in the fields of tourism, urban regeneration, place branding, and destination management, with a strong reputation for bridging the gap between theory and practice through impactful research and industry collaboration. He has pursued advanced academic qualifications in tourism, business, and urban studies, equipping him with a multidisciplinary perspective that enriches his contributions to academia and the global tourism sector. Prof J. Andres Coca-Stefaniak has accumulated extensive professional experience as a professor, researcher, consultant, and editor, actively engaging with international organizations, government bodies, and industry associations to shape sustainable tourism policies, strategies, and practices. His research interests cover a wide spectrum, including smart tourism, resilience of destinations, sustainable development, consumer behavior, tourism technology adoption, and the evolving relationship between urban spaces and tourism. He has demonstrated a particular focus on understanding how destinations can adapt to rapid changes brought about by globalization, digital transformation, and shifting visitor expectations. Candidates such as Prof. J. Andres Coca-Stefaniak, with 34 documents, 398 citations, and a 12 h-index, exemplify the power of impactful research and practice in shaping tourism’s sustainable future. Prof J. Andres Coca-Stefaniak is highly skilled in research methodologies, qualitative and quantitative data analysis, strategic planning, cross-disciplinary collaboration, and knowledge transfer that benefits policymakers, practitioners, and communities alike. His academic leadership is reflected in editorial roles with reputable journals, coordination of funded research projects, and mentoring of postgraduate students and early-career researchers. He has been recognized with multiple awards and honors for his outstanding contributions to tourism research, teaching excellence, and his ability to influence international tourism policies and practices. Throughout his career, Prof J. Andres Coca-Stefaniak has consistently demonstrated a commitment to advancing the tourism discipline while ensuring its positive impact on local communities and global sustainability. His profile represents the ideal blend of rigorous academic research, real-world application, and visionary leadership, positioning him as one of the leading figures in contemporary tourism studies and a driving force for the future of global tourism innovation.

Profile: Scopus | ORCID

Featured Publications 

  • Florido-Benítez, L., & Coca-Stefaniak, J. A. (2025). Aerotainment—A new paradigm for sustainable development in tourism. Sustainable Development, 1–11. [Citations: 5]

  • Florido-Benítez, L., Morrison, A. M., & Coca-Stefaniak, J. A. (2025). Aerotainment – merging airport and theme park experiences. Annals of Tourism Research, 101, 103881. [Citations: 4]

  • Florido-Benítez, L., & Coca-Stefaniak, J. A. (2025). Towards a new generation of smart tourism cities–GenAI-enabled aerotainment. Cities, 106311. [Citations: 3]

  • Florido-Benítez, L. (2025). The role of cybersecurity as a preventive measure in digital tourism and travel: A systematic literature review. Discover Computing, 2, 52. [Citations: 2]

  • Florido-Benítez, L. (2025). Metatourpolis and aerotainment: Two concepts to be considered to empower tourism and travel activities in smart cities. Journal of Hospitality and Tourism Horizons, 1(2), 69–86. [Citations: 1]

  • Florido-Benítez, L., & del Alcázar Martínez, B. (2025). The disruptive use of artificial intelligence (AI) will considerably enhance the tourism and air transport industries. Electronics, 14(1), 16. [Citations: 2]

  • Florido-Benítez, L. (2025). Generative artificial intelligence: A proactive and creative tool to achieve hyper-segmentation and hyper-personalisation in the tourism industry. International Journal of Tourism Cities, 11(1), 83–103. [Citations: 3]

 

Mohammad Arashi | Statistics | Best Researcher Award

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Prof.Mohammad Arashi | Statistics | Best Researcher Award 

Professor Ferdowsi University of Mashhad  Iran

Dr. Mohammad Arashi is a distinguished professor at the Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad. He specializes in shrinkage estimation, variable selection, and high-dimensional data analysis. His extensive academic and professional journey has positioned him as a leading figure in statistical sciences.

Profile 

Scopus

Education 🎓

Dr. Arashi holds a Ph.D. in Statistics (2008) and an M.Sc. in Mathematical Statistics (2005) from Ferdowsi University of Mashhad, Iran. He completed his B.Sc. in Statistics from Shahid Bahonar University of Kerman in 2003. His rigorous academic background has laid a solid foundation for his research and teaching excellence.

Experience 🏅

Dr. Arashi has held various academic positions, including Professor at Ferdowsi University of Mashhad (2021-present) and Extraordinary Professor at the University of Pretoria (2014-present). He also served as Associate Professor at Shahrood University of Technology (2012-2020). His leadership roles include directing the Data Science Laboratory at Ferdowsi University and serving on several scientific committees.

Research Interests 📊

Dr. Arashi’s research interests are diverse and impactful. He focuses on shrinkage estimation, variable selection, high-dimensional and big data analysis, statistical machine learning, graphical models, and longitudinal data analysis. His work significantly contributes to the advancement of statistical methodologies and their applications.

Awards 🏆

Dr. Arashi has received numerous awards, including the DSI-NRF CoE-MaSS Statistics Publication Impact Award (2023) and multiple teaching and research excellence awards from Ferdowsi University of Mashhad and Shahrood University of Technology. He is also an ISI Elected Member and an NRF rated researcher (C2).

Publications 📚

Dr. Arashi has published extensively in reputed journals. Notable publications include:

  1. “Shrinkage Estimation in Big Data” (2023), Journal of Statistical Computation and Simulation. Cited by Article 1, Article 2.
  2. “Variable Selection in High-Dimensional Models” (2021), Computational Statistics & Data Analysis. Cited by Article 3, Article 4.
  3. “Advanced Statistical Machine Learning Techniques” (2019), Journal of Machine Learning Research. Cited by Article 5, Article 6.

Geethanjali S | Data Analytics | Best Researcher Award

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Prof. Geethanjali S | Data Analytics | Best Researcher Award

Assistant Professor/Research Scholar | Stella Maris College/University of Madras | India

Short Biography 🌟

S. Geethanjali, born on October 5, 1995, in Chennai, India, is currently pursuing her Ph.D. in Computer Science at the University of Madras. She is deeply committed to enhancing educational experiences through her teaching career and continuous learning.

Profile

ORCID

Education 📚

Geethanjali completed her Master of Science in Information Technology and Bachelor of Computer Applications with outstanding academic achievements at Stella Maris College, Chennai. She excelled in both programs, receiving high honors and the Stella Maris College Gold Medal.

Experience 💼

As an Assistant Professor at Stella Maris College, Geethanjali has imparted knowledge to undergraduate students in Computer Applications since 2019. She also served as a Teaching Assistant, enhancing students’ skills in English and Life Skills.

Research Interests 🔬

Geethanjali’s research interests span Artificial Intelligence, Machine Learning, Game Design and Development, Web Designing, Database Management Systems, and Object-Oriented Programming.

Award 🏆

Geethanjali has been recognized as the Best Outgoing Student in the Computer Science Department and received certifications in Cloud Computing and 3D Game Development.

Publications 📄

  1. Towards building a competent Chatbot – An analogy of development framework, design techniques and intelligence
    • Journal: IJIRSET
    • Published Year: 2017
  2. An Overview of the Architecture for Developing an Extensible Personal Assistant Chatbot
    • Journal: IJFRCSCE
    • Published Year: 2018
  3. Instance Reduction Algorithm Based on Elitist Min-Max Ant Colony Optimization Technique