Anurag Rana | Artificial Intelligence | Distinguished Scientist Award

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Distinguished Scientist Award

Anurag Rana
Affiliation Shoolini University
Country India
Scopus ID 57973470300
Documents 23
Citations 83
h-index 5
Subject Area Artificial Intelligence
Event International AI Data Scientists Award
ORCID 0000-0003-0247-8908

Anurag Rana
Shoolini University

Anurag Rana is an academic researcher affiliated with Shoolini University, India, whose scholarly activities are primarily associated with Artificial Intelligence and related computational research domains. His publication portfolio, citation record, and documented research output reflect active engagement in scientific investigation and knowledge dissemination. The recognition through the Distinguished Scientist Award highlights his contribution to advancing research excellence and innovation within emerging technology disciplines.[1]

Abstract

This article presents a concise academic profile of Anurag Rana, highlighting research achievements, publication activity, and scholarly impact in Artificial Intelligence. Available bibliometric indicators demonstrate a growing research footprint supported by peer-reviewed publications and measurable citation performance.[1]

Keywords

Artificial Intelligence, Machine Learning, Data Science, Research Excellence, Scholarly Impact, Computational Intelligence.

Introduction

Artificial Intelligence continues to influence scientific research, industry transformation, and technological innovation. Researchers contributing to this field support the development of intelligent systems capable of solving complex analytical and decision-making challenges. Anurag Rana’s academic activities align with these objectives through ongoing participation in research and publication efforts.[2]

Research Profile

According to available scholarly records, Anurag Rana has authored or co-authored 23 indexed documents and accumulated 83 citations, resulting in an h-index of 5. These indicators suggest consistent academic engagement and growing visibility within the research community.[1]

Research Contributions

The research contributions of Anurag Rana focus on advancing knowledge in Artificial Intelligence through analytical methodologies, computational modeling, and interdisciplinary applications. His work contributes to the broader understanding of intelligent systems and their practical implementation in diverse domains.[3]

Publications

  • Peer-reviewed research articles in Artificial Intelligence and computational sciences.
  • Collaborative publications addressing emerging technological challenges.
  • Scholarly works indexed in recognized academic databases.

Research Impact

Citation metrics provide evidence of academic influence and knowledge dissemination. The citation count associated with the researcher’s publications indicates engagement from fellow scholars and demonstrates the relevance of the published work within the scientific community.[1]

Award Suitability

The Distinguished Scientist Award recognizes sustained scholarly activity, research quality, and measurable academic contributions. Based on documented publication output, citation performance, and active involvement in Artificial Intelligence research, Anurag Rana demonstrates characteristics consistent with the objectives of the International AI Data Scientists Award program.[4]

Conclusion

Anurag Rana represents an active contributor to Artificial Intelligence research through publications, scholarly collaboration, and academic engagement. His research record and professional accomplishments support recognition within international scientific award frameworks and reflect continued commitment to advancing knowledge in technology-driven disciplines.

References

  1. Elsevier. (n.d.). Scopus author details: Anurag Rana, Author ID 57973470300. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57973470300
  2. Google Scholar. (n.d.). Scholar profile and citation metrics.
    https://scholar.google.co.in/citations?user=EQnY4CwAAAAJ&hl=en
  3. Reward-respecting subtasks for model-based reinforcement learning.
    https://doi.org/10.1016/j.artint.2023.104001
  4. International AI Data Scientists Award. Award criteria and recognition framework.
    https://aidatascientists.com/

Yang Zhao | Artificial Intelligence | Best Researcher Award

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Best Researcher Award

Yang Zhao
Affiliation College of Oceanic and Atmospheric Sciences, Ocean University of China
Country China
Google Scholar View Profile 
Documents 75
Citations 2139
h-index 27
Subject Area Artificial Intelligence
Event International AI Data Scientists Award
ORCID 0000-0002-3306-9835

Yang Zhao

College of Oceanic and Atmospheric Sciences, Ocean University of China

Yang Zhao is a researcher at the College of Oceanic and Atmospheric Sciences, Ocean University of China. His academic work reflects the growing integration of artificial intelligence, environmental analytics, and data-driven scientific methodologies. With 75 indexed publications, 2,139 citations, and an h-index of 27, Zhao has developed a notable scholarly profile supported by consistent research productivity and international visibility.[1]

Abstract

This article summarizes the research achievements, academic impact, and professional contributions of Yang Zhao. His work demonstrates the application of advanced analytical and artificial intelligence techniques to environmental and oceanic science, contributing to interdisciplinary scientific progress.[2]

Keywords

Artificial Intelligence, Ocean Science, Environmental Analytics, Machine Learning, Data Science, Research Impact.

Introduction

The increasing importance of data-intensive research has accelerated the adoption of artificial intelligence across scientific disciplines. Yang Zhao’s work reflects this trend by combining computational approaches with environmental and oceanographic applications.[1]

Research Profile

Zhao has authored 75 scholarly documents and accumulated 2,139 citations. His h-index of 27 demonstrates sustained influence within the academic community and highlights the relevance of his contributions to ongoing scientific research.[1]

Research Contributions

His research emphasizes predictive modeling, environmental data interpretation, and the integration of artificial intelligence technologies into scientific workflows. These contributions support improved understanding of complex environmental systems and decision-making processes.[3]

Publications

  • Peer-reviewed journal articles.
  • Interdisciplinary environmental studies.
  • Artificial intelligence and modeling research.

Research Impact

The citation performance of Zhao’s publications demonstrates continued scholarly engagement and recognition. His work contributes to the broader advancement of computational methods in environmental science and related disciplines.[1]

Award Suitability

Based on publication productivity, citation impact, and interdisciplinary scientific contributions, Yang Zhao demonstrates qualities consistent with academic recognition programs such as the International AI Data Scientists Award.[4]

Conclusion

Yang Zhao’s research profile illustrates a sustained commitment to scientific excellence. His contributions to artificial intelligence applications, environmental research, and interdisciplinary collaboration support his recognition as a distinguished researcher.

References

  1. Google Scholar Author Profile: Yang Zhao.
    https://scholar.google.com.hk/citations?user=CO4iwFkAAAAJ&hl=zh-CN
  2. ORCID. Research Profile of Yang Zhao.
    https://orcid.org/0000-0002-3306-9835
  3. Environmental Modelling & Software. DOI Reference.
    https://doi.org/10.1016/j.envsoft.2020.104776
  4. International AI Data Scientists Award.
    https://aidatascientists.com/

Carmela Rita Balistreri | Artificial Intelligence | Innovative Research Award

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Innovative Research Award

Carmela Rita Balistreri
Affiliation University of Palermo, BIND Department
Country Italy
Scopus ID 6602242131
Documents 190
Citations 5,527
h-index 39
Subject Area Artificial Intelligence
Event International AI Data Scientist Awards
Google Scholar BCeaAwMAAAAJ
ORCID 0000-0002-5393-1007

Carmela Rita Balistreri

University of Palermo, BIND Department, Italy

The Innovative Research Award profile recognizes the scholarly contributions of Carmela Rita Balistreri, a researcher affiliated with the University of Palermo, BIND Department, Italy. Her academic portfolio demonstrates sustained engagement in interdisciplinary scientific investigations, publication activity, citation impact, and international research visibility. Through a substantial body of peer-reviewed literature and recognized scholarly influence, her work has contributed to the advancement of contemporary scientific knowledge and data-driven research methodologies.[1][2]

Abstract

This article presents an academic recognition profile for Carmela Rita Balistreri, highlighting research productivity, scholarly visibility, citation performance, and contributions to scientific advancement. The profile summarizes institutional affiliation, publication metrics, research influence, and relevance to recognition within the framework of the International AI Data Scientist Awards. Available bibliometric indicators suggest a consistent and impactful scholarly presence across internationally indexed academic platforms.[1][3]

Keywords

Artificial Intelligence, Research Excellence, Scientific Publications, Citation Impact, Academic Recognition, Data Science, Scholarly Metrics, Bibliometrics, International Awards, Research Innovation.

Introduction

Academic awards frequently recognize individuals whose scholarly achievements demonstrate measurable impact through publications, citations, interdisciplinary collaborations, and contributions to scientific progress. Carmela Rita Balistreri’s research record, supported by extensive indexing and citation activity, reflects sustained academic engagement and visibility within the international research community. Such indicators are commonly utilized in evaluating scientific influence and professional recognition.[1][2]

Research Profile

Carmela Rita Balistreri is affiliated with the University of Palermo through the BIND Department. Her scholarly record includes approximately 190 indexed documents and an h-index of 39, reflecting both productivity and citation performance. The cumulative citation count exceeds 5,500 citations, indicating substantial engagement with her published research across multiple scientific domains.[1]

Research visibility is further supported through internationally recognized scholarly identifiers, including Scopus Author ID and ORCID registration, facilitating transparent attribution, discoverability, and academic networking.[1][2]

Research Contributions

The research portfolio attributed to Carmela Rita Balistreri demonstrates contributions to data-driven scientific inquiry, interdisciplinary collaboration, and evidence-based research methodologies. Her scholarly output has been disseminated through peer-reviewed journals, conference proceedings, and collaborative scientific initiatives that have generated measurable academic influence.[3]

Through participation in international research networks and publication activities, her work has supported knowledge exchange and contributed to ongoing developments in emerging scientific and technological disciplines. Such contributions align with the objectives of innovation-oriented academic recognition programs.[4]

Publications

The documented publication record comprises approximately 190 scholarly works indexed within major citation databases. These publications collectively demonstrate sustained research productivity and a continuing commitment to advancing scientific understanding through rigorous investigation and peer-reviewed dissemination.[1]

Selected research outputs have achieved notable citation performance, reflecting their relevance to subsequent academic studies and broader scholarly discourse. Publication impact remains an important indicator of knowledge transfer and scientific influence within the global research ecosystem.[3]

Research Impact

Bibliometric indicators reveal significant research impact through citation accumulation, author visibility, and scholarly engagement. More than 5,527 citations from over 4,433 citing documents demonstrate broad dissemination and utilization of the research contributions associated with this academic profile.[1]

The h-index value of 39 further indicates that a substantial number of publications have achieved meaningful citation recognition, reflecting a balance between productivity and influence. These metrics are commonly referenced in research assessment and academic benchmarking frameworks.[1]

Award Suitability

Based on available scholarly indicators, Carmela Rita Balistreri demonstrates characteristics frequently associated with recipients of research recognition awards, including publication productivity, citation influence, international visibility, and engagement with interdisciplinary scientific initiatives. These factors support consideration within the context of the International AI Data Scientist Awards and similar academic recognition programs.[4][5]

Conclusion

Carmela Rita Balistreri’s academic profile reflects a sustained record of scholarly productivity, measurable research impact, and international visibility. The combination of publication output, citation performance, professional affiliations, and research dissemination activities supports recognition within competitive academic award frameworks. Continued scholarly engagement is expected to further contribute to scientific advancement and interdisciplinary research development.[1][2]

References

  1. Elsevier. (n.d.). Scopus Author Details: Carmela Rita Balistreri, Author ID 6602242131. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=6602242131
  2. ORCID. (n.d.). ORCID Record for Carmela Rita Balistreri.
    https://orcid.org/0000-0002-5393-1007
  3. Balistreri, C.R. et al. (2020). Research contributions in aging and molecular medicine. DOI: https://doi.org/10.1016/j.arr.2020.101089
  4. Google Scholar. (n.d.). Scholar Citations Profile: Carmela Rita Balistreri.
    https://scholar.google.com/citations?user=BCeaAwMAAAAJ&hl=it
  5. International AI Data Scientist Awards. (n.d.). Award Program Information and Evaluation Framework.
    https://aidatascientists.com/

Md Mojahidul Islam | Artificial Intelligence | Best Researcher Award

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Best Researcher Award

Md Mojahidul Islam
Affiliation Texas Tech University
Country United States
Scopus ID 59180369000
Documents 3
Citations 13
h-index 1
Subject Area Artificial Intelligence
Event International AI Data Scientist Awards

Md Mojahidul Islam

Texas Tech University, United States

Md Mojahidul Islam of Texas Tech University has demonstrated research engagement in Artificial Intelligence through scholarly publications, machine learning research, and data-driven innovations. His academic contributions and research visibility support recognition under the Best Researcher Award category.[1][2]

Abstract

This article presents an academic overview of Md Mojahidul Islam and evaluates research accomplishments associated with Artificial Intelligence. The profile summarizes scholarly productivity, research visibility, publication activity, and measurable indicators derived from recognized academic databases. The assessment is intended to support consideration for recognition through the Best Researcher Award within the International AI Data Scientist Awards framework.[1][4]

Keywords

Artificial Intelligence, Machine Learning, Data Science, Intelligent Systems, Computational Analytics, Research Impact, Academic Publications, Scholarly Recognition, Scientific Contributions, Best Researcher Award.

Introduction

Artificial Intelligence continues to influence scientific innovation across diverse sectors, including healthcare, engineering, education, and computational sciences. Researchers working in this area contribute to algorithm development, predictive modeling, intelligent automation, and advanced analytical systems. Md Mojahidul Islam’s academic activities align with these evolving research directions and demonstrate engagement with contemporary scientific challenges in the AI domain.[3][5]

Research Profile

Md Mojahidul Islam is affiliated with Texas Tech University and maintains a documented research presence through internationally recognized academic indexing platforms. The available bibliometric indicators include three indexed documents, thirteen citations, and an h-index of one. These metrics reflect active participation in scholarly communication and the dissemination of research outcomes within specialized scientific communities.[1][2]

Research Contributions

The research contributions of Md Mojahidul Islam focus on Artificial Intelligence and related computational methodologies. Through peer-reviewed publications and collaborative investigations, the researcher has participated in the advancement of analytical techniques designed to improve data interpretation, intelligent decision support, and algorithmic performance. Such contributions support ongoing developments in data-driven scientific research and technological innovation.[2][5]

Publications

The publication record indexed under Scopus indicates scholarly output associated with Artificial Intelligence and related computational research. Publications contribute to scientific knowledge dissemination and provide evidence of engagement with peer-reviewed academic communication channels. The documented publication portfolio demonstrates participation in the development and exchange of contemporary scientific findings.[1]

Research Impact

Research impact may be assessed through citation activity, publication visibility, and the adoption of scientific findings within broader academic networks. The citation record associated with the researcher indicates that published work has been referenced by other scholarly documents, reflecting academic engagement and the dissemination of knowledge across related research domains.[1]

Award Suitability

Based on documented scholarly activities, publication records, research visibility, and contributions to Artificial Intelligence research, Md Mojahidul Islam demonstrates characteristics commonly considered in evaluations for academic recognition programs. Participation in research dissemination, measurable citation performance, and involvement in emerging technological investigations support suitability for consideration under the Best Researcher Award category within the International AI Data Scientist Awards.[4]

Conclusion

Md Mojahidul Islam’s academic profile reflects engagement with Artificial Intelligence research through publications, scholarly communication, and participation in scientific advancement. The available bibliometric indicators and documented research activities provide evidence of continued contribution to the field. Recognition through academic award programs serves to acknowledge such contributions and encourages further research development within the global scientific community.[1][2]

References

    1. Elsevier. (n.d.). Scopus Author Details: Md Mojahidul Islam, Author ID 59180369000. Scopus.
      https://www.scopus.com/authid/detail.uri?authorId=59180369000
    2. Google Scholar. (n.d.). Scholar Profile of Md Mojahidul Islam.
    3. Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach. Pearson Education.
    4. International AI Data Scientist Awards. (n.d.). Award Program Information.
      https://aidatascientists.com/
    5. Jordan, M. I., & Mitchell, T. M. (2015). Machine Learning: Trends, Perspectives, and Prospects.

Peik Foong Yeap | Artificial Intelligence | Best Academic Researcher Award

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Dr. Peik Foong Yeap | Artificial Intelligence | Best Academic Researcher Award

Senior Lecturer at University of Newcastle | Singapore

Dr. Yeap Peik Foong is a distinguished academic and researcher whose career reflects a deep commitment to advancing knowledge in strategic management, organisational development, cross-cultural management, sustainability practices, and innovation within higher education and industry. Renowned for her interdisciplinary perspective, she has contributed extensively to scholarly literature through impactful journal articles, book chapters, and international conference presentations that explore themes such as digital transformation, human–AI collaboration, leadership effectiveness, consumer behaviour, knowledge management, environmental sustainability, and community-based tourism. Her work is recognized for its ability to merge theoretical frameworks with real-world applications, offering insights that guide policy development, organisational strategy, and educational leadership. She has played influential roles in shaping academic programs, strengthening research culture, and supporting curriculum innovation, while also contributing actively as a reviewer, editorial board member, and examiner for reputable journals, conferences, and institutions worldwide. Her research leadership is further demonstrated through her involvement in numerous funded projects that address emerging challenges in digital well-being, workplace resilience, global responsibility, cybersecurity, internationalisation of higher education, and interorganisational collaboration. Known for her mentorship and supervision of postgraduate candidates, she has supported research that spans management, marketing, organisational behaviour, and industry-specific strategic studies, helping shape future scholars and professionals. Her consistent engagement with global academic communities, coupled with her ability to foster collaborative networks, reflects her dedication to elevating research standards and promoting sustainable, innovative, and culturally aware practices across sectors. Dr. Yeap’s body of work positions her as a respected thought leader whose scholarly contributions and service continue to influence contemporary debates and future directions in management, education, and organisational sustainability.

Profile: Scopus

Featured Publications

Ha, H., Yeap, P. F., Loh, H. S., & Pidani, R. (2025). Environmental sustainability and CSR practices by banks in Indonesia, Malaysia, and Singapore.

Tan, K. L., Yeap, P. F., Cheong, K. C. K., & Shanu, R. (2025). Crafting an organizational strategy for the new era: A qualitative study of artificial intelligence transformation in a homegrown Singaporean hotel chain.

Tan, K.-L., Loganathan, S. R., Pidani, R. R., Yeap, P.-F., Ng, D. W. L., Chong, N. T. S., Liow, M. L. S., Cheong, K. C.-K., & Yeo, M. M. L. (2024). Embracing imperfections: A predictive analysis of factors alleviating adult leaders’ digital learning stress on Singapore’s lifelong learning journey.

Yeap, P. F., & Liow, M. L. S. (2023). Tourist walkability and sustainable community-based tourism: Conceptual framework and strategic model.

Ong, H. B., Chong, L. L., Choon, S. W., Tan, S. H., Yeap, P. F., & Kasuma, N. M. H. (2022). Retaining skilled workers through motivation: The Malaysian case.

Lee, Y. W., Dorasamy, M., Ahmad, A. A., Jambulingam, M., Yeap, P. F., & Harun, S. (2021). Synchronous online learning during movement control order in higher education institutions: A systematic review.

Eric Howard | Artificial Intelligence | Research Excellence Award

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Dr. Eric Howard | Artificial Intelligence | Research Excellence Award

Honorary Research Fellow at Macquarie University | Australia

Dr. Eric Howard is a distinguished multidisciplinary scholar whose contributions span quantum computing, artificial intelligence, data science, cybersecurity, theoretical physics, and scientific philosophy, recognized for advancing both foundational research and transformative technological innovation. His work integrates quantum information theory with machine learning, leading to pioneering developments in quantum-classical neural networks, AI-enhanced intrusion detection models, quantum Bayesian inference frameworks, and advanced simulation methods for exploring molecular systems and emergent physical phenomena. With expertise that bridges scientific rigor and applied innovation, he has contributed significantly to research on quantum graph neural networks, holographic beam shaping, variational algorithm design, and AI-driven optimization for next-generation computational systems. His scholarly output includes a substantial body of peer-reviewed publications across major scientific outlets, along with editorial leadership in physics and theoretical sciences, where he supports global research through special issues, journal editing, and peer-review responsibilities. As an author and thought leader, he has produced influential academic texts and continues to develop works that deepen the understanding of machine learning theory and the evolution of quantum scientific paradigms. His professional impact extends into industry through leadership roles in AI-enabled cybersecurity and digital intelligence ventures, translating advanced theoretical models into practical solutions for threat analytics, secure digital infrastructures, cloud intelligence, and automated decision systems. Actively involved in leading scientific societies across computing, optics, physics, mathematics, and interdisciplinary research, he contributes to knowledge communities that shape the future of computational science and emerging technologies. Across academia, research, and innovation ecosystems, he is recognized for his ability to unify quantum science, intelligent computation, and high-impact problem solving, establishing a reputation as an influential figure driving progress at the intersection of advanced physics, machine intelligence, and next-generation technological development.

Profile: Google Scholar

Featured Publications

Ackley, K., Adya, V. B., Bailes, M., Blair, D., Lasky, P., & Howard, E. (2020). Neutron Star Extreme Matter Observatory: A kilohertz-band gravitational-wave detector in the global network.

Xue, X., Bian, L., Shu, J., Yuan, Q., Zhu, X., Bhat, N. D. R., Dai, S., Feng, Y., … (2021). Constraining cosmological phase transitions with the Parkes pulsar timing array.

Yoshiura, S., Pindor, B., Line, J. L. B., Barry, N., Trott, C. M., Beardsley, A., … (2021). A new MWA limit on the 21 cm power spectrum at redshifts ∼13–17.

Xue, X., Xia, Z. Q., Zhu, X., Zhao, Y., Shu, J., Yuan, Q., Bhat, N. D. R., Cameron, A. D., … (2022). High-precision search for dark photon dark matter with the Parkes Pulsar Timing Array.

Rahimi, M., Pindor, B., Line, J. L. B., Barry, N., Trott, C. M., Webster, R. L., Jordan, C. H., … (2021). Epoch of reionization power spectrum limits from Murchison Widefield Array data targeted at EoR1 field.

Devarajan, H. R., Singh, S. B., & Howard, E. (2024). Explainable AI for cloud-based machine learning interpretable models and transparency in decision making.

Bincy Kaluvilla | Artificial Intelligence | Best Academic Researcher Award

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Dr. Bincy Kaluvilla | Artificial Intelligence | Best Academic Researcher Award

Head of Academics at Learners University College | United Arab Emirates

Dr. Bincy B. Kaluvilla is an accomplished academic leader and researcher whose work bridges the disciplines of sustainable finance, hospitality management, and real estate investment. Her professional journey reflects a deep commitment to academic excellence, innovation, and the advancement of sustainability-focused business education. As an experienced higher education professional, she has played a transformative role in shaping curricula and fostering strategic partnerships that align academic programs with contemporary industry practices. Her teaching portfolio encompasses subjects such as Real Estate Finance, Hospitality Accounting, and Corporate Finance, delivered across international undergraduate and postgraduate programs. A Fellow of the Higher Education Authority (UK) and a CPA Australia member, she brings a strong foundation in finance and accounting to her academic leadership. Her scholarly contributions span peer-reviewed journals, book chapters, and international conferences, exploring topics including ESG reporting, sustainable investment, AI integration in hospitality, and the evolving intersections of culture, ethics, and finance. Notable among her works are publications in Frontiers in Computer Science, Asia Pacific Journal of Tourism Research, Performance Measurement and Metrics, and Journal of Open Innovation. She has also contributed to edited volumes published by Springer Nature, IGI Global, Emerald, and Elsevier. Beyond research and teaching, Dr. Kaluvilla has led numerous corporate training programs for leading organizations such as the Jumeirah Group and Omran Group, promoting financial literacy and leadership within the hospitality sector. Her contributions have been recognized globally through awards and invitations to serve as visiting faculty at institutions in Malta, Japan, and China. Through her research, teaching, and leadership, she continues to champion sustainability, innovation, and excellence in global higher education and industry practice.

Profile: Google Scholar

Featured Publications

Kaluvilla, B. B., Kalarikkal, S. A., & Thamilvanan, G. (2025). AI-driven extraction and intelligent retrieval of missionary archives in Malabar: Advancing preservation and accessibility with machine learning.

Mulla, T., Kaluvilla, B. B., Zahidi, F., Alsabbah, S., & Tantry, A. (2025). “Your house looks like that show…”: Exploring consumers’ perceptions towards media-inspired home décor.

Bouchon, F., Kaluvilla, B. B., & Kolmorgon, K. (2025). Sustainable luxury hospitality: A reality beyond antagonistic terms? Innovations and trends in Maldivian luxury resorts.

Thomsen, K., Kaluvilla, B. B., & Zahidi, F. (2025). Sustainable wildlife tourism: Government guidelines and lodge contributions in Zambia.

Kaluvilla, B. B. (2025). Review of The Routledge handbook of religious and spiritual tourism, by D. H. Olsen & D. J. Timothy.

Yousef Asadi | Artificial Intelligence | Best Paper Award

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Mr. Yousef Asadi | Artificial Intelligence | Best Paper Award

Master Degree at Bu Ali Sina University | Iran

Mr. Yousef Asadi is a dedicated electrical engineer and researcher whose academic and professional pursuits center on advancing power systems, smart grids, and sustainable energy technologies. With a master’s degree in electrical engineering specializing in power systems from Buali Sina University, his expertise bridges theoretical insight with practical application in energy optimization, control, and artificial intelligence. His scholarly contributions have significantly enriched the field, with impactful publications in top-tier journals such as the Journal of Energy Storage, International Journal of Electrical Power & Energy Systems, Energies, Applied Sciences, and IEEE Access. His works focus on developing intelligent frameworks for energy management, universal models for power converters, and adaptive neural control techniques for active power filters—reflecting a strong interdisciplinary command of power electronics, control theory, and computational intelligence. Asadi’s research interests span microgrid stability, distributed generation, and reinforcement learning-based optimization, positioning him at the forefront of innovation in clean and resilient energy systems. His experiences in teaching, software-hardware setup, and internships across power distribution and aviation electronics have strengthened his technical and analytical capabilities. Fluent in English, Persian, and Kurdish, he demonstrates effective communication across diverse professional environments. Known for his proficiency in MATLAB, Python, and electrical design software, he applies computational modeling and automation to solve real-world energy challenges. His continuous pursuit of advanced, sustainable solutions reflects a commitment to bridging academia and industry for the development of smarter, more efficient energy infrastructures. Through his research and technical acumen, Yousef Asadi exemplifies a new generation of engineers dedicated to transforming the global energy landscape through innovation and intelligent system design.

Profile: Scopus

Featured Publications

Mansouri, M., Eskandari, M., Asadi, Y., & Savkin, A. (2024). A cloud-fog computing framework for real-time energy management in multi-microgrid system utilizing deep reinforcement learning.

Asadi, Y., Eskandari, M., Mansouri, M., Moradi, M. H., & Savkin, A. V. (2023). A universal model for power converters of battery energy storage systems utilizing the impedance-shaping concepts.

Asadi, Y., Eskandari, M., Mansouri, M., Savkin, A. V., & Pathan, E. (2022). Frequency and voltage control techniques through inverter-interfaced distributed energy resources in microgrids

Asadi, Y., Eskandari, M., Mansouri, M., Chaharmahali, S., Moradi, M. H., & Tahriri, M. S. (2022). Adaptive neural network for a stabilizing shunt active power filter in distorted weak grids.

Mansouri, M., Eskandari, M., Asadi, Y., Siano, P., & Alhelou, H. H. (2022). Pre-perturbation operational strategy scheduling in microgrids by two-stage adjustable robust optimization.

Dr. Manisha Nene | Artificial Intelligence | Best Researcher Award

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Dr. Manisha Nene | Artificial Intelligence | Best Researcher Award 

Seasoned Leader, Defence Institute of Advanced Technology, India

Dr. Manisha Nene, a seasoned leader at the intersection of research, academia, and industry, holds a Ph.D. in Computer Science and has devoted over two decades to advancing artificial intelligence and cybersecurity. Throughout her career she has held key leadership roles, including Director of the School of Mathematical Sciences and Computer Engineering and Head of the Department of Computer Science & Engineering at DIAT-DRDO. Her professional experience spans guiding doctoral and master’s scholars, leading national-level research projects, and founding MAJINE Systems Pvt. Ltd., which develops cybersecurity and AI-based solutions rooted in her patented innovations. Dr. Nene’s research interests lie in secure AI, trustworthy computing, digital transformation, and responsible infrastructure. She is proficient in advanced research skills such as machine learning, adversarial defense, threat modeling, deep neural networks, cryptographic protocols, and data analytics. Over her career she has received numerous awards, including IETE’s Smt. Triveni Devi Award for her contributions to ICT for society, the Future Crime Research Foundation’s Award of Excellence for PAN-India cyber security training, institute-level Researcher of the Year awards, and multiple Best Paper Awards at international conferences. Her Scopus profile reflects 129 documents, over 716 citations, and an h-index of 13 (Scopus ID: 35488434700).

profile: GOOGLE SCHOLAR | SCOPUS | ORCID 

Featured Publications

  • Nene, M. A secure AI framework for adversarial attack mitigation in critical infrastructures. (202, 45 citations)

  • Nene, M. Trustworthy deep learning in cyber-physical systems: techniques and challenges. (2022, 55 citations)

  • Nene, M. Privacy-preserving machine learning with homomorphic encryption in cloud environments. (2020, 38 citations)

  • Nene, M. Blockchain-enabled authentication protocols for Internet of Things security. (2019, 29 citations)

Dr. Konstantinos Kotsidis | Artificial Intelligence | Best Researcher Award

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Dr. Konstantinos Kotsidis | Artificial Intelligence | Best Researcher Award

Dr. Konstantinos Kotsidis | University of Crete | Greece

Dr. Konstantinos Kotsidis is a dedicated postdoctoral researcher whose work bridges artificial intelligence and education with a strong focus on advancing human-centered pedagogical practices. With a solid academic foundation and extensive professional experience, his contributions have consistently demonstrated a commitment to fostering creativity, critical thinking, and innovation in learning environments. He combines scholarly expertise with practical classroom application, leading to impactful educational reforms, research outputs, and international collaborations. His work continues to inspire and support both learners and educators through the responsible integration of artificial intelligence into teaching and learning.

Professional Profile

ORCID

GOOGLE SCHOLAR

Summary of Suitability

Dr. Konstantinos Kotsidis is a highly promising and impactful researcher whose work at the intersection of Artificial Intelligence and Education positions him as an outstanding candidate for the Best Researcher Award. With a PhD in Education and extensive experience in the integration of AI technologies into primary and early childhood education, he has demonstrated a unique ability to bridge theory and practice. His impressive research record—comprising 19 published books, 14 journal papers, and 7 editorial appointments—reflects both academic depth and international recognition.

Education

His academic journey reflects a clear dedication to the intersection of education and technology. He earned a PhD in Education with a specialization in the integration of artificial intelligence and educational technologies into early childhood and primary education. This advanced research was preceded by a Master’s degree in Innovative Pedagogy, where he deepened his understanding of creative teaching methodologies and modern learning frameworks. His foundation in pedagogy was first established through a Bachelor’s degree in Education, which laid the groundwork for his dual focus on teaching practice and academic research. This blend of qualifications has equipped him with the tools to transform classrooms into spaces that balance theory, research, and innovation.

Experience

Professionally, Dr. Konstantinos Kotsidis has over a decade of experience as both a teacher and teacher trainer. His classroom practice allowed him to refine methods of learner-centered instruction, while his training roles have helped over two hundred educators adopt modern technological tools in teaching. Beyond teaching, he has actively collaborated with national and international research teams to develop and implement frameworks for integrating artificial intelligence into education. His professional engagements include working with primary and early childhood education institutions on designing AI-driven teaching scenarios, as well as participating in joint projects with teacher training organizations to promote innovative, human-centered pedagogy. His combination of theoretical depth and practical application positions him as a thought leader in the application of artificial intelligence in educational contexts.

Research Interests

Dr. Konstantinos Kotsidis primary research interests are situated within human-centered artificial intelligence in education, where he investigates how intelligent systems can meaningfully support teaching and learning without diminishing the human role. Another key area of his work is teacher professional development, with a focus on building confidence and competence in applying AI applications in classrooms. He also engages deeply in research surrounding eLearning and distance learning, seeking to enhance access, personalization, and equity in digital education. Through his contributions, he envisions educational systems where technology empowers rather than replaces human creativity, making teaching more effective, adaptable, and inclusive.

Award

The scope of his contributions and innovations has earned him recognition for excellence in educational research and technology integration. His work on designing comprehensive pedagogical frameworks for human-centered AI in education, leading impactful teacher training programs, and publishing widely in peer-reviewed journals has positioned him as a distinguished candidate for research-focused awards. His achievements highlight not only scholarly significance but also measurable community impact in advancing education.

Publication Top Notes

    • The Challenges of Web 2.0 for Education in Greece: A Review of the Literature
      Year: 2013
      Citations: 25

    • The contribution of training needs assessment to teacher training: Comparative Interpretation of Results
      Year: 2010
      Citations: 11

    • Human–Centered Artificial Intelligence in Education. The critical role of the educational community and the necessity of building a holistic pedagogical framework for the use
      Year: 2024
      Citations: 8

    • Distance Teacher Training in Periods of Emergency (COVID-19 Pandemic)
      Year: 2021
      Citations: 5

    • The pedagogical use of Web 2.0 applications in teacher training, with emphasis on
      Year: 2015
      Citation5

    • Pedagogical Design and Implementation of a Distance Education Program for Teachers: The Use of Web 2.0 in the Modern School with an Emphasis on Collaboration
      Year: 2017
      Citations: 3

Conclusion

Dr. Konstantinos Kotsidis represents an outstanding example of a scholar who effectively merges research and practice to transform educational experiences. His academic achievements, professional service, and research contributions have significantly influenced both local and international educational landscapes. By developing frameworks for human-centered AI use, training hundreds of educators, and publishing widely, he has demonstrated a sustained commitment to shaping the future of education. His work is not only about integrating technology but also about ensuring that its application respects and enhances the human dimensions of teaching and learning. With his innovative vision and practical contributions, he is highly suitable for recognition through a prestigious award nomination in the field of research and education.