Preety Shoran | Christ University | Best Researcher Award

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Best Researcher Award

Preety Shoran
Christ University
Preety Shoran
Affiliation Christ University
Country India
Scopus ID 58100727600
Documents 46
Citations 54
h-index 4
Subject Area Artificial Intelligence
Event International AI Data Scientists Award
ORCID 0000-0003-3873-4600

Preety Shoran of Christ University, India. Her academic activities are associated with research in Artificial Intelligence and related computational domains. Based on available bibliometric indicators, the researcher has contributed peer-reviewed publications and demonstrated measurable scholarly engagement through citations and academic dissemination.[1]

Abstract

This article summarizes the academic profile of Preety Shoran, emphasizing research productivity, scholarly visibility, and contributions within Artificial Intelligence. The profile reflects publication activity, citation performance, and participation in contemporary research initiatives relevant to data-driven technologies.[1]

Keywords

Artificial Intelligence, Machine Learning, Data Analytics, Computational Intelligence, Research Impact.

Introduction

Artificial Intelligence has emerged as a transformative discipline influencing science, industry, and society. Researchers contribute by developing methods, models, and applications that support intelligent decision-making and automation. Academic recognition programs acknowledge sustained contributions to these developments.[2]

Research Profile

Preety Shoran is affiliated with Christ University and has established a documented research record comprising 46 indexed publications. The available citation count of 54 and an h-index of 4 indicate ongoing scholarly engagement and contribution to academic literature.[1]

Research Contributions

The research portfolio demonstrates participation in studies related to Artificial Intelligence and computational methodologies. Such work supports knowledge generation, interdisciplinary collaboration, and technological advancement within emerging digital ecosystems.[3]

Publications

  • Peer-reviewed articles in Artificial Intelligence and related fields.
  • Conference proceedings and scholarly communications.
  • Collaborative research publications contributing to scientific literature.

Research Impact

Research impact is commonly evaluated using publication output, citation indicators, and academic visibility. The documented metrics suggest a developing research profile with contributions recognized through citations and scholarly dissemination channels.[1]

Award Suitability

Based on documented academic activities, publication output, and engagement within Artificial Intelligence research, the profile demonstrates attributes commonly considered during evaluations for researcher recognition programs. Assessment remains subject to established award criteria and review procedures.[4]

Conclusion

Preety Shoran’s scholarly profile reflects active participation in academic research and publication activities within Artificial Intelligence. The documented metrics, institutional affiliation, and research engagement provide a foundation for professional recognition and continued scholarly development.

External Links

References

  1. Elsevier. (n.d.). Scopus author details: Preety Shoran, Author ID 58100727600. Scopus.
    https://www.scopus.com/pages/authors/58100727600
  2. Orcid author details: Preety Shoran.
    https://orcid.org/0000-0003-3873-4600
  3. Artificial Intelligence Research Overview.
    https://doi.org/10.1016/j.artint.2023.104001
  4. International AI Data Scientists Award Evaluation Framework.
    https://aidatascientists.com/

Alamgir Naushad | Artificial Intelligence | Best Researcher Award

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Best Researcher Award

Alamgir Naushad
UM6P Morocco

Alamgir Naushad
Affiliation UM6P Morocco
Country Morocco
Scopus ID 56524467200
Documents 19
Citations 262
h-index 8
Subject Area Artificial Intelligence
Event International AI Data Scientists Award
ORCID 0000-0001-7009-1751

Alamgir Naushad is recognized for contributions to the field of Artificial Intelligence through research activities associated with computational methods, intelligent systems, and data-driven technologies. Affiliated with UM6P Morocco, the researcher has developed a growing academic profile supported by indexed publications and scholarly citations. Recognition through the International AI Data Scientists Award reflects engagement in advancing analytical and intelligent computing research.[1]

Abstract

This article summarizes the academic profile and research recognition of Alamgir Naushad in the field of Artificial Intelligence. The profile highlights scholarly productivity, citation impact, and contributions to intelligent computational systems. The researcher’s work reflects engagement with emerging technologies and analytical methods that support innovation in AI-driven applications.[1]

Keywords

Artificial Intelligence, Intelligent Systems, Machine Learning, Computational Analytics, Data Science, Neural Computing, AI Research, Smart Technologies, Predictive Modeling, Deep Learning.

Introduction

Artificial Intelligence has become a transformative research domain influencing healthcare, engineering, automation, and computational sciences. Researchers in this field contribute to intelligent decision-making systems and data-driven innovation. Alamgir Naushad’s academic activities demonstrate participation in this rapidly developing scientific landscape.[2]

Research Profile

The researcher has produced nineteen indexed documents with more than two hundred citations and an h-index of eight. These indicators demonstrate scholarly visibility and continuing engagement with academic publishing and collaborative scientific research activities.[1]

Research Contributions

Research contributions associated with Alamgir Naushad include studies related to intelligent systems, computational analysis, and AI-supported methodologies. Such work contributes to improving analytical efficiency and advancing intelligent computational applications across interdisciplinary environments.[3]

Publications

  • Artificial intelligence applications in data-driven environments.
  • Machine learning methodologies and analytical systems.
  • Computational approaches for intelligent automation.

Research Impact

The citation profile and publication record indicate academic engagement within the international research community. Contributions to Artificial Intelligence continue to support innovation in predictive technologies, smart systems, and modern computational research practices.[1]

Award Suitability

The Best Researcher Award recognizes scholarly achievement, research productivity, and contribution to emerging scientific fields. Alamgir Naushad’s profile aligns with these objectives through active research involvement and measurable academic impact within Artificial Intelligence studies.[4]

Conclusion

Alamgir Naushad demonstrates an active academic presence in Artificial Intelligence research through indexed publications, citations, and interdisciplinary analytical contributions. Recognition through the International AI Data Scientists Award highlights the significance of continued innovation and scholarly development in intelligent computing research.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Alamgir Naushad, Author ID 56524467200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56524467200
  2. Orcid. (n.d.). author details: Alamgir Naushad, Author ID 0000-0001-7009-1751.
    https://orcid.org/0000-0001-7009-1751
  3. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning.
    https://doi.org/10.1038/nature14539
  4. International AI Data Scientists Award. (n.d.). Research Recognition Program.
    https://aidatascientists.com/

Harsh Verma | Artificial Intelligence | AI Innovator Award

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Mr. Harsh Verma | Artificial Intelligence | AI Innovator Award

Palo Alto Networks | United States

Harsh Verma is an Artificial Intelligence professional specializing in machine learning, big data, and IoT systems. His research focuses on secure, real-time data management and scalable AI solutions. With industry leadership experience, he contributes to innovative AI-driven technologies, emphasizing data security, system efficiency, and intelligent decision-making in complex distributed environments.

Citation Metrics (Google Scholar)

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Featured Publications

Secure real-time heterogeneous IoT data management system
– IEEE Conference on Trust, Privacy and Security, 2019 | Citations: 23

Jaehyung Kim | Machine Learning | Research Excellence Award

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Mr. Jaehyung Kim | Machine Learning | Research Excellence Award

Division of Fisheries Resources and Environmental Research | South Korea

Jaehyung Kim is a researcher at the West Sea Fisheries Research Institute specializing in fisheries resources and environmental studies. His work integrates machine learning techniques to analyze marine ecosystems, assess species maturity, and support sustainable fisheries management, contributing to data-driven decision-making and innovation in marine science and resource conservation.


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Featured Publications

Estimation of the Length at First Maturity of the Swimming Crab (Portunus trituberculatus) in the Yellow Sea of Korea Using Machine Learning
– Journal of Marine Science and Engineering, 2026

Xiangyu Wang | Artificial Intelligence | Research Excellence Award

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Prof. Xiangyu Wang | Artificial Intelligence | Research Excellence Award

Executive director | East China Jiaotong University | China

Prof. Xiangyu Wang is a researcher at East China Jiaotong University whose work focuses on the intersection of applied mathematics, data analysis, and intelligent modeling. His research emphasizes statistical methods, optimization techniques, and quantitative analysis to address complex problems in engineering, economics, and management systems. He has contributed to studies involving data-driven decision-making, predictive modeling, and interdisciplinary applications of mathematical theory. Prof. Wang’s work supports the development of efficient analytical frameworks with practical relevance to real-world systems.

Citation Metrics (Google Scholar)

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Featured Publications

Elzbieta Olejarczyk | Artificial Intelligence | Research Excellence Distinction Award

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Assoc. Prof. Dr. Elzbieta Olejarczyk | Artificial Intelligence | Research Excellence Distinction Award

Senior Reasearcher at Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences | Poland

Assoc. Prof. Dr. Elżbieta Olejarczyk is a leading researcher in biomedical engineering and neurophysiology, specializing in the advanced analysis of EEG signals to better understand brain function and neurological disorders. Her work focuses on nonlinear dynamics, fractal analysis, brain connectivity, and the development of computational methods for diagnosing conditions such as schizophrenia, stroke, depression, and sleep disorders. She has contributed extensively to the study of neuronal complexity, functional connectivity, and neuroelectrical biomarkers using innovative mathematical and signal-processing techniques. With highly cited publications in PLoS ONE, Frontiers in Neuroscience, Scientific Reports, and IEEE journals, she is recognized for advancing EEG-based diagnostic methodologies and improving insights into brain activity in both healthy and clinical populations.

 

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Featured Publications

Mr. Sachin Pandey | AI Data Science | AI & Machine Learning Award

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Mr. Sachin Pandey | AI Data Science | AI & Machine Learning Award

Head of Data Engineering and Data Science, Oracle Corporation, United States

Mr. Sachin Pandey is an accomplished data scientist and engineering professional whose expertise bridges the domains of artificial intelligence, data management, and enterprise analytics. With more than thirteen years of progressive experience, Mr. Sachin Pandey currently serves as the Head of Data Engineering and Data Science at Oracle Corporation, where he leads multidisciplinary teams in the development of intelligent data infrastructures, machine learning solutions, and scalable MLOps frameworks. He previously contributed his expertise as Head of Data Science at Walmart US, overseeing large-scale analytical transformations that enhanced predictive decision systems and optimized data-driven strategies across global business operations. Mr. Sachin Pandey’s academic foundation is rooted in a Master of Science in Management Information Systems from the University of Illinois at Chicago – Liautaud Graduate School of Business, where he developed a strong grounding in business intelligence, data visualization, and statistical computing. He earned his Bachelor of Technology in Electronics and Telecommunication Engineering from the Vivekananda Education Society’s Institute of Technology, Mumbai, where his technical acumen and analytical thinking shaped his approach to applied data research. His research interests include machine learning algorithms, deep learning optimization, big data analytics, AI-based automation, and data governance, focusing on how scalable AI systems can transform decision-making and industry practices. Mr. Sachin Pandey has published and co-authored peer-reviewed papers in internationally recognized journals and conference proceedings indexed by Scopus and IEEE, including notable contributions in areas of image detection, intelligent automation, and cloud-based analytics. His most cited work, “Smoke and Fire Detection” is recognized for advancing the use of AI models in safety and monitoring systems, reflecting his commitment to practical applications of data science for societal benefit. In addition to research, he possesses exceptional skills in Python programming, Spark, Airflow, data modeling, ELT/ETL frameworks, MLFlow, and cloud analytics platforms such as Power BI, Tableau, and Alteryx, complemented by a deep understanding of optimization, data governance, and model versioning techniques.

Profiles: Google Scholar | Orcid 

Featured Publications

  • Gharge, S., Birla, S., Pandey, S., Dargad, R., & Pandita, R. (2013). Smoke and fire detection. International Journal of Advanced Research in Computer and Communication Engineering, 2(6). Cited by: 16

  • Singh, A., & Pandey, S. (2014). Advanced Centralised RTO System for Traffic Data Automation. International Journal of Emerging Technology and Advanced Engineering, 4(5). Cited by: 9

  • Pandey, S. (2015). Intelligent Data Governance Using Cloud-based Frameworks. International Journal of Data Science and Analytics, 3(2). Cited by: 11

  • Pandey, S., & Birla, S. (2016). Optimization of Machine Learning Pipelines for Enterprise Analytics. Proceedings of the IEEE International Conference on Computational Intelligence. Cited by: 7

  • Pandey, S. (2019). Scalable AI Systems for Predictive Data Engineering. Journal of Artificial Intelligence Research and Applications, 10(4). Cited by: 13

Mr. Sonjoy Ranjon Das | Computer Vision | AI & Machine Learning Award

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Mr. Sonjoy Ranjon Das | Computer Vision | AI & Machine Learning Award

Lecturer,  Global Banking School, United Kingdom

Mr. Sonjoy Ranjon Das (FHEA, MIEEE, MBCS) is a Lecturer in Computing at the Global Banking School, UK, PhD Candidate in Computer Science at London Metropolitan University, and an affiliated researcher with the AI & Data Science Research Group at London Metropolitan University. He is an emerging academic with expertise in artificial intelligence, soft biometrics, cybersecurity, and privacy-preserving surveillance frameworks aligned with ethical AI deployment and GDPR compliance. Mr. Sonjoy Ranjon Das earned his MSc in Cyber Security Technology with Distinction from Northumbria University, UK, following an MBA in Management Information Systems and a BSc (Hons) in Computer Science from Leading University, Bangladesh, which provided him with an integrated background in computing, management information systems, and advanced security practices. Professionally, he has served in diverse higher-education lecturing roles across the UK including Elizabeth School of London, New City College, Shipley College, and other institutions, as well as holding the position of Research Associate on the SoftMatrix and Surveillance (SMS) Project at Northumbria University, contributing to cross-disciplinary and international research. Mr. Sonjoy Ranjon Das’s research interests include privacy-preserving multimodal soft biometrics for identity verification, AI-driven covert surveillance, ethical and GDPR-compliant surveillance technologies, and the fusion of biometrics for crowd analytics in public safety and border security. His research skills encompass advanced machine learning and computer vision techniques, data analytics, Python and Java programming, cloud-IoT integration, and full-stack development, supported by proficiency in data visualization tools such as Power BI, Tableau, and MATLAB.

Profile :  GOOGLE SCHOLAR

Featured Publications

  • Das, S. R., Kruti, A., Devkota, R., & Sulaiman, R. B. (2023). Evaluation of machine learning models for credit card fraud detection: A comparative analysis of algorithmic performance and their efficacy. FMDB Transactions on Sustainable Technoprise Letters. 12 citations.

  • Thinesh, M. A., Varmann, S. S., Sharmila, S. L., & Das, S. R. (2023). Detection of credit card fraud using random forest classification model. FMDB Transactions on Sustainable Technologies Letters. 9 citations.

  • Pranav, R. P., Prawin, R. P., Subhashni, R., & Das, S. R. (2023). Enhancing remote sensing with advanced convolutional neural networks: A comprehensive study on advanced sensor design for image analysis and object detection. FMDB Transactions on Sustainable Computer Letters. 8 citations.

  • Das, S. R., Hassan, B., Patel, P., & Yasin, A. (2024). Global soft biometrics in surveillance: Benchmark analysis, open challenges, and recommendations. Multimedia Tools and Applications. 6 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.

Sabbir Ahmed Udoy | Artificial Intelligence | Best Researcher Award

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Mr. Sabbir Ahmed Udoy | Artificial Intelligence | Best Researcher Award

Rajshahi University of Engineering & Technology, Bangladesh

Sabbir Ahmed Udoy is an emerging mechanical engineer and researcher with a multidisciplinary focus on sustainable energy systems, environmental optimization, and advanced manufacturing technologies. With a strong foundation in mechanical engineering, Udoy has contributed to diverse research areas that converge on the goal of promoting sustainability through innovative engineering practices. He currently holds a professional position as a Mechanical Engineer at Smile Food Products Limited, where he applies his academic insights to real-world industrial operations. Through active involvement in scholarly publications, hands-on project execution, and collaborative research endeavors, Udoy is establishing himself as a significant early-career contributor to sustainable engineering and energy research.

Profile

Google Scholar

Education

Udoy earned his Bachelor of Science degree in Mechanical Engineering from Rajshahi University of Engineering & Technology (RUET), Bangladesh, completing his academic program in October 2023. He graduated with a CGPA of 3.24 out of 4.0, showing notable improvement in his final semesters, where he achieved a GPA of 3.40 over the last 60 credits. Throughout his undergraduate journey, he combined rigorous coursework with practical learning experiences and research engagements. His capstone thesis focused on evaluating energy consumption and greenhouse gas emissions in textile manufacturing processes, laying the groundwork for his future research trajectory in energy sustainability.

Experience

Professionally, Udoy has been working as a Mechanical Engineer at Smile Food Products Limited since November 2023. In this role, he manages mechanical maintenance and utility operations for the company’s oil refinery plant, emphasizing preventive strategies to optimize performance and minimize downtime. Earlier, he gained industrial exposure through a training stint at the Bangladesh Power Development Board (BPDB), where he was introduced to the operations of a 365 MW dual-fuel combined cycle gas turbine power plant. These hands-on experiences have enriched his engineering acumen and provided him with the ability to bridge theoretical knowledge with industrial applications.

Research Interest

Udoy’s research interests lie at the intersection of energy, sustainability, and technology. His primary focus areas include energy and environmental sustainability, control systems, energy conversion and storage, and additive manufacturing. He is also deeply interested in advanced materials science, machine learning applications in engineering, waste management, and the role of artificial intelligence in achieving sustainable development goals. This wide spectrum of interests highlights his ambition to tackle global engineering challenges using a multidisciplinary lens and cutting-edge technologies.

Award

Udoy’s academic diligence and leadership have earned him several honors. He was the recipient of the Technical Scholarship awarded by RUET, which supported him financially throughout his undergraduate studies. Additionally, he was granted the Education Board Scholarship by the Government of Bangladesh in recognition of his academic achievements. His proactive role as Class Representative and his leadership in student associations like the Society of Automotive Engineers RUET were acknowledged through certificates and crests of appreciation. He also earned multiple certificates for excellence in conference presentations and technical seminars, further showcasing his active academic involvement and communication skills.

Publication

Udoy has co-authored several peer-reviewed journal articles reflecting his research contributions. In 2025, he co-published Harnessing the Sun: Framework for Development and Performance Evaluation of AI-Driven Solar Tracker for Optimal Energy Harvesting in Energy Conversion and Management: X (Impact Factor 7.1), focusing on AI-based solar optimization. In 2024, he contributed to Investigation of the energy consumption and emission for a readymade garment production and assessment of the saving potential in Energy Efficiency (Impact Factor 3.2), emphasizing sustainable apparel manufacturing. Another 2025 publication in the Journal of Solar Energy Research titled Advancements in Solar Still Water Desalination reviewed solar desalination enhancements. He also co-authored An integrated framework for assessing renewable-energy supply chains in Clean Energy (2024, IF 2.9), and Structural analysis and material selection for biocompatible cantilever beam in soft robotic nanomanipulator in BIBECHANA (2023). His latest accepted work (2025) in Environmental Quality Management investigates methane emissions and energy recovery from landfill sites using statistical machine learning. These articles have been cited by multiple scholars and demonstrate the applied relevance and growing recognition of his work.

Conclusion

Sabbir Ahmed Udoy exemplifies the new generation of engineers committed to solving pressing environmental and energy challenges through innovation and interdisciplinary collaboration. His academic training, coupled with industrial experience and a growing body of impactful research, underscores his potential as a thought leader in sustainable engineering. With a forward-looking research agenda and a strong portfolio of scholarly work, Udoy is well-positioned to make lasting contributions to the global discourse on energy efficiency, renewable technologies, and environmentally conscious engineering solutions.