Shaik Salma Asiya Begum | Artificial Intelligence | Best Researcher Award

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Best Researcher Award

Shaik Salma Asiya Begum
Lakireddy Bali Reddy College of Engineering

Shaik Salma Asiya Begum
Affiliation Lakireddy Bali Reddy College of Engineering
Country India
Scopus ID 57210980130
Documents 17
Citations 156
h-index 5
Subject Area Artificial Intelligence
Event International AI Data Scientists Award
ORCID 0000-0002-5616-3963

Shaik Salma Asiya Begum is an academic researcher affiliated with Lakireddy Bali Reddy College of Engineering, India, whose scholarly activities are associated with Artificial Intelligence and related computational disciplines. Her research profile demonstrates active participation in scientific publishing, with multiple peer-reviewed documents indexed in international databases. Through contributions to emerging areas of intelligent systems, machine learning methodologies, and data-driven applications, she has established a growing academic presence within the research community. Available bibliometric indicators show a record of 17 indexed publications, 156 citations, and an h-index of 5, reflecting measurable scholarly influence and citation impact within her field.[1]

Abstract

This article presents an overview of the academic profile, research activities, and scholarly contributions of Shaik Salma Asiya Begum. Her work is associated with Artificial Intelligence, an interdisciplinary field that continues to influence technological innovation and scientific advancement. Bibliometric evidence indicates consistent research engagement through peer-reviewed publications and citation accumulation. The profile highlights her research productivity, academic impact, and relevance to recognition programs that acknowledge scientific excellence and professional achievement.[1]

Keywords

Artificial Intelligence, Machine Learning, Data Analytics, Intelligent Systems, Computational Research, Engineering Education, Scientific Publications, Citation Analysis.

Introduction

Artificial Intelligence has emerged as one of the most influential research domains of the twenty-first century. Researchers working in this area contribute to advancements in automation, decision support systems, predictive analytics, and intelligent computing frameworks. Shaik Salma Asiya Begum’s academic activities align with these developments through contributions that support knowledge creation and dissemination within the scientific community. Her research outputs demonstrate engagement with contemporary challenges and opportunities in computational intelligence.[2]

Research Profile

The research profile of Shaik Salma Asiya Begum is characterized by scholarly publications indexed in recognized databases. Her Scopus author record reports 17 documents with 156 citations and an h-index of 5. These indicators suggest a developing yet meaningful level of academic visibility. The combination of publication activity and citation performance reflects participation in collaborative research and scientific communication within Artificial Intelligence and related engineering disciplines.[1]

Research Contributions

Her research contributions include the application of intelligent computational approaches to engineering and data-centric problems. Such work contributes to broader efforts aimed at improving analytical accuracy, system efficiency, and decision-making capabilities. Publications associated with Artificial Intelligence often support advancements in machine learning algorithms, predictive models, and emerging digital technologies, thereby strengthening interdisciplinary innovation.[3]

Publications

  • Peer-reviewed journal publications in Artificial Intelligence and Engineering.
  • Conference papers addressing computational methodologies.
  • Collaborative research outputs indexed in Scopus.
  • Studies contributing to machine learning and intelligent systems research.

Research Impact

Research impact is commonly assessed through publications, citations, and scholarly visibility. With 156 citations and an h-index of 5, Shaik Salma Asiya Begum has achieved measurable recognition from fellow researchers. Citation-based indicators demonstrate that her work has been referenced within the scientific literature, indicating relevance to ongoing academic discussions and knowledge development efforts.[1]

Award Suitability

The Best Researcher Award recognizes scholarly achievement, research productivity, and academic impact. Based on available bibliometric indicators, publication activity, and contributions to Artificial Intelligence research, Shaik Salma Asiya Begum demonstrates attributes that align with the evaluation criteria typically associated with research excellence awards. Her documented academic output and citation performance provide evidence of sustained engagement in scientific inquiry and knowledge dissemination.[1]

Conclusion

Shaik Salma Asiya Begum represents an active contributor to Artificial Intelligence research through publications, scholarly collaborations, and academic engagement. Her research metrics indicate a growing impact within the scientific community. Continued participation in research and publication activities is expected to further enhance her academic profile and contribution to technological innovation and engineering scholarship.

References

  1. Elsevier. (n.d.). Scopus author details: Shaik Salma Asiya Begum, Author ID 57210980130. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57210980130
  2. Google Scholar. (n.d.). Scholar profile and citation overview for Shaik Salma Asiya Begum.
    https://scholar.google.com/citations?user=p5-tQPv63-IC&hl=en&oi=ao
  3. Artificial Intelligence Journal. (2023). Research developments in Artificial Intelligence.
    https://doi.org/10.1016/j.artint.2023.104001

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.