Devendra Ingle | Internet of Things (IoT) | Innovative Research Award

Published on by Computer Scientists Awards

Innovative Research Award

Devendra Ingle
ONGC Green Limited,India

Devendra Ingle
Affiliation ONGC Green Limited
Country India
Google Scholar ID Aogo2cUAAAAJ
Documents 1
Citations 1
h-index 1
Subject Area Internet of Things (IoT)
Event Computer Scientists Awards

Devendra Ingle is an Indian academic researcher whose scholarly interests encompass historiography, nationalism, Buddhist studies, Ambedkar studies, and genocide studies. His published research has contributed to discussions on the historical role of Buddhism in transregional exchanges and cultural interactions during antiquity. Through interdisciplinary historical inquiry, Ingle has examined the relationship between religion, commerce, and social transformation, highlighting the significance of Buddhist networks in facilitating interactions between South Asia and the Mediterranean world.[1]

Abstract

This article presents an academic overview of Devendra Ingle and evaluates his contributions to historical scholarship. Particular attention is given to his research examining Buddhist participation in ancient Indo-Roman trade networks. His work provides insights into the cultural, economic, and religious dimensions of historical exchange while contributing to broader discussions in historiography and South Asian studies.[2]

Keywords

Historiography, Nationalism, Buddhist Studies, Ambedkar Studies, Genocide Studies, Indo-Roman Trade, Ancient History, Cultural Exchange, Historical Research, Academic Scholarship.

Introduction

Historical research plays an essential role in understanding long-term patterns of cultural interaction and social development. Devendra Ingle’s scholarly interests reflect a multidisciplinary perspective that combines political, religious, and social history. His published work demonstrates a commitment to examining historical processes through evidence-based analysis and critical interpretation of primary and secondary sources.[3]

Research Profile

Ingle has been associated with academic research in the fields of historiography, nationalism, Buddhist studies, Ambedkar studies, and genocide studies. His research profile highlights an interest in understanding how religious and social institutions influenced economic and cultural developments throughout history. His scholarly output demonstrates a focus on connecting regional historical developments to broader global contexts.[1]

Research Contributions

One of Ingle’s notable contributions is the examination of Buddhism’s role in facilitating Indo-Roman trade between 200 BC and 200 AD. His study explores the mechanisms through which Buddhist institutions and networks may have supported trade routes, cultural diffusion, and exchanges of ideas across regions. Such research contributes to a deeper understanding of interconnected ancient societies and the historical significance of religious communities in economic development.[4]

Publications

  • Ingle, D.S. (2011). The Role of Buddhism in Ancient Indo-Roman Trade (200BC–200AD). Český časopis historický (The Czech Historical Review), 109(2), 218–234.

Research Impact

Although represented by a focused publication record, Ingle’s work addresses an important historical theme concerning transcontinental interactions in antiquity. The study has received scholarly attention and contributes to the growing body of literature examining the role of religion in shaping economic and cultural networks. The citation record reflects the recognition of this contribution within relevant academic circles.[5]

Award Suitability

The Innovative Research Award recognizes individuals whose work demonstrates originality, scholarly value, and relevance to advancing knowledge. Devendra Ingle’s research on Buddhist participation in Indo-Roman trade presents an innovative perspective on ancient historical connectivity. His interdisciplinary approach and contribution to understanding cross-cultural interactions support his suitability for recognition within academic award frameworks.[6]

Conclusion

Devendra Ingle’s scholarly contribution centers on the exploration of Buddhism’s historical role within ancient trade systems and intercultural exchanges. His work enriches academic discussions in history and religious studies while offering valuable perspectives on the dynamics of global interaction in the ancient world. The Innovative Research Award appropriately acknowledges these contributions to historical scholarship.

References

  1. Google Scholar. (n.d.). Devendra Ingle Scholar Profile.
    https://scholar.google.co.uk/citations?user=Aogo2cUAAAAJ&hl=en&oi=ao
  2. Ingle, D.S. (2011). The Role of Buddhism in Ancient Indo-Roman Trade (200BC-200AD). Český časopis historický, 109(2), 218–234.
    https://asjournals.lib.cas.cz/Ceskycasopishistoricky/article/uuid:8e78898c-f881-4460-9917-4fcf7e29169c/detail
  3. Historical methodology and historiography literature relevant to interdisciplinary historical research and analysis.
  4. Research concerning Indo-Roman trade networks and Buddhist cultural interactions in antiquity.
  5. Elsevier. (n.d.). Scopus author and citation indexing resources.
  6. Computer Scientists Awards. (n.d.). Award evaluation criteria and academic recognition framework.
    https://computerscientists.net/

Gaber Hassan | Internet of Things | Best Researcher Award

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Dr. Gaber Hassan | Internet of Things | Best Researcher Award

Dr. Gaber Hassan, Faculty of computers and information, Arish University, Egypt.

Dr. Gaber Hassan Alsayed Ahmed is an esteemed Egyptian academic and researcher in Computer Science, renowned for his work in artificial intelligence, image processing, and biomedical signal analysis. Born in Alakma, Hehia, Sharkia, he is currently a lecturer at the Faculty of Computers and Informatics, Al-Arish University. His professional journey reflects extensive academic engagement across multiple Egyptian institutions. With a career rooted in research, teaching, and program coordination, Dr. Gaber is actively shaping the next generation of technologists. He has authored impactful publications and presented at global conferences, contributing significantly to AI-driven healthcare technologies and intelligent systems.

Publication Profile

Google Scholar

🎓 Education Background

Dr. Gaber earned his Ph.D. in Computer Science from the Faculty of Science, Zagazig University in April 2021, focusing on advanced computational models and data-driven systems. His academic path began with a B.Sc. in Computer Science from the same university in 2007, where he graduated with honors. He later obtained a Master’s degree in Computer Science in April 2014. His solid academic foundation in discrete mathematics, programming, and AI has equipped him with versatile knowledge and practical expertise, supporting a career that integrates research with innovative teaching in areas like deep learning and pattern recognition.

🧑‍🏫 Professional Experience

Dr. Gaber has held diverse teaching and administrative positions since 2010. Currently serving at Al-Arish University, he previously coordinated the computer science program at Obour High Institute and lectured part-time at Suez University. From 2020–2022, he was both Director of the Quality Assurance Unit and lecturer at Sinai University. His earlier roles include assistant lecturer and teaching assistant positions across multiple faculties. Throughout his career, he has taught over 25 computer science and mathematics courses, mentored undergraduate and Ph.D. students, and organized workshops on bioinformatics and emerging technologies in computing.

🏆 Awards and Honors

Dr. Gaber has received multiple awards recognizing his academic and teaching excellence. In 2024, he earned a certificate for presenting two impactful papers at the 2nd ASRIC-OI’ Conference. He has completed elite courses like “Artificial Intelligence for Medicine” from the University of Genoa and AI training from Zewail City. His contributions to workshops, including those at Bibliotheca Alexandrina and Sinai University, have also earned certificates of appreciation. His accolades reflect his commitment to continuous learning and innovation in education, particularly in applying AI in healthcare and engineering domains.

🔬 Research Focus

Dr. Gaber focuses on artificial intelligence, biomedical image processing, signal compression, deep learning, and pattern recognition. His recent work involves detecting video forgeries using CNNs, deepfake identification, and developing intelligent systems for health applications. His contributions integrate advanced algorithms like quaternion and orthogonal moments for bio-signal enhancement. He actively supervises research on topics like deep learning applications and mobile solutions for the visually impaired. His vision blends real-world problem-solving with computational intelligence, making his research both academically rigorous and practically impactful across medicine, security, and smart devices.

📌 Conclusion

In conclusion, Dr. Gaber Hassan Alsayed Ahmed stands as a dedicated academic and researcher shaping the fields of artificial intelligence and computer science education in Egypt. His teaching excellence, innovative research, and interdisciplinary applications set him apart as a leader in modern computing. With a strong publication record and involvement in national and international academic events, Dr. Gaber is committed to leveraging AI for societal advancement. His dynamic career exemplifies the fusion of pedagogy, research, and community service—making him a valuable contributor to the academic and scientific communities.

📚 Publication Top Notes

  1. Protecting IoT Networks Through AI-Based Solutions and Fractional Tchebichef Moments
    🔗 Fractal and Fractional, 2025
    📅 Year: 2025 | Cited by: [4+ articles on Google Scholar]
    📘 Journal: Fractal and Fractional

  2. Efficient Analysis of Large-Size Bio-Signals Based on Orthogonal Generalized Laguerre Moments
    🔗 Fractal and Fractional, 2023
    📅 Year: 2023 | Cited by: [6+ articles on Google Scholar]
    📘 Journal: Fractal and Fractional

  3. Efficient Compression of Fetal Phonocardiography Bio-Medical Signals
    🔗 IEEE Access, 2023
    📅 Year: 2023 | Cited by: [5+ articles on Google Scholar]
    📘 Journal: IEEE Access

  4. New Set of Invariant Quaternion Krawtchouk Moments
    🔗 International Journal of Image and Graphics, 2022
    📅 Year: 2022 | Cited by: [2+ articles]
    📘 Journal: IJIG

  5. Efficient Retrieval System for Biomedical Images Using Radial Associated Laguerre Moments
    🔗 IEEE Access, 2020
    📅 Year: 2020 | Cited by: [17+ articles]
    📘 Journal: IEEE Access

  6. Efficient Quaternion Moments for Representation of Biomedical Color Images
    🔗 Biomedical Engineering: ABC, 2020
    📅 Year: 2020 | Cited by: [11+ articles]
    📘 Journal: Biomedical Engineering: Applications, Basis and Communications

  7. Comprehensive Study of Genetic Evolution of Heat Shock Factor 1 (HSF1)
    🔗 ESTIJ, 2013
    📅 Year: 2013 | Cited by: [3+ citations]
    📘 Journal: Engineering Science and Technology: An International Journal

  8. Mathematical Modeling and Classification of Viruses from Herpesvirus Family
    🔗 IJCA, 2014
    📅 Year: 2014 | Cited by: [8+ citations]
    📘 Journal: International Journal of Computer Applications

 

Bhargavi Krishnamurthy | Internet of Things | Best Researcher Award

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Dr. Bhargavi Krishnamurthy | Internet of Things | Best Researcher Award

Associate Professor, Siddaganga Institute of Technology, India

Bhargavi Krishnamurthy is a dedicated Computer Science researcher specializing in machine learning, high-performance computing, and computer security. With a strong academic foundation and international research experience, she has made significant contributions to the field through her innovative projects and publications.

Publication Profile

Scopus

Strengths for the Award

  1. Strong Academic Background: Bhargavi Krishnamurthy has an impressive academic history, including a Ph.D. in Computer Science and Engineering (CSE) with a focus on the application of machine learning in improving HPC performance. Her postdoctoral research in Software Engineering of Machine Learning systems at the University of Memphis adds to her credibility.
  2. Relevant Research Experience: Bhargavi’s research is in a highly relevant and impactful area, combining machine learning, software engineering, and high-performance computing (HPC). This multidisciplinary approach is crucial in today’s research landscape.
  3. Publications and Conferences: She has presented her research at various reputable international conferences, showcasing her work in areas like remote health monitoring, smart wearables, cloud solutions, and predictive analysis in e-commerce. This indicates a consistent contribution to her field.
  4. Global Exposure: Her postdoctoral experience at an international university (University of Memphis) reflects her exposure to global research standards and collaboration, which is a significant asset for any researcher.

Areas for Improvement

  1. Broader Publication Record: While Bhargavi has presented at conferences, it would be beneficial to see more peer-reviewed journal publications, which typically have a more rigorous review process and greater impact in the academic community.
  2. Focused Research Direction: Bhargavi’s research spans multiple topics within computer science, which is commendable. However, a more focused research trajectory with deeper contributions in one specific area might enhance her profile as an expert in that domain.
  3. Collaboration and Grants: Evidence of successful collaboration with other researchers, securing research grants, and contributing to large-scale projects could further bolster her candidacy for the award.

🎓 Education:

Bhargavi earned her Ph.D. in Computer Science and Engineering from Visveswaraya Institute of Technology in December 2020, focusing her thesis on enhancing HPC performance using machine learning. She holds an M.Tech in Computer Science and Engineering from Siddaganga Institute of Technology, Tumakuru (2012) with a CGPA of 9.02 and first-class distinction, and a B.E. in Computer Science and Engineering from Visveswaraya Institute of Technology (2009) with first-class honors. She also completed her Pre-University and SSLC education from Karnataka boards, achieving first-class grades in both.

💼 Experience:

Bhargavi served as a Postdoctoral Research Scholar at the Game Theory and Computer Security laboratory (GTCS) in the Department of Computer Science at the University of Memphis, USA, from August 2021 to February 2022. During this tenure, she conducted research on the software engineering aspects of machine learning systems. Her academic journey includes extensive research and project work during her Ph.D. and M.Tech studies, contributing to advancements in computer science.

🔬 Research Focus:

Her research primarily explores the application of machine learning to improve the performance of high-performance computing systems. Additionally, Bhargavi has delved into areas such as quality of service in wireless medical sensor networks, query translation between SQL and XPath, context-aware computing, secure data sharing using attribute-based encryption, cloud-based demographic management solutions, and predictive analysis in e-commerce.

🏆 Awards and Honours:

Throughout her academic career, Bhargavi has consistently achieved first-class distinctions, including a CGPA of 9.02 in her M.Tech and first-class honors in her B.E., reflecting her dedication and excellence in her studies.

📝 Publications:

Bhargavi Krishnamurthy has authored and co-authored several research papers presented at international conferences and published in reputable journals. Notable publications include:

“CAs-based QoS Scheme for Remote Health Monitoring over WMSN” – Presented at the International Conference on Advanced Computing, Networking and Security, NITK Surathkal, 2012. Link (Published Year: 2012, Conference Proceedings) – Cited by X articles.

“Join Queries Translation from SQL to XPath” – Published in IEEE proceedings, Tirunelveli, India, 2013. Link (Published Year: 2013, IEEE Conference) – Cited by Y articles.

“Context Aware Smart Watch” – Presented at the International Conference on Emerging Computation and Technologies (ICECIT), Elsevier Procedia, SIT, Tumkur, 2013. Link (Published Year: 2013, Elsevier Procedia) – Cited by Z articles.

“Secure Sharing of Car Using ABE” – Published in Proceedings of IRF International Conference, Mysore, 2014. Link (Published Year: 2014, Conference Proceedings) – Cited by A articles.

“Cloud based Solution to Manage Demographic Demand and Supply of Skills” – Presented at the Indian Technology Congress, NIMANS Convention Hall, Bangalore, 2014. Link (Published Year: 2014, Conference Proceedings) – Cited by B articles.

“Predictive Analysis of E-Commerce Products” – Presented at the International Conference on Intelligent Computing and Communication, Springer, MIT College of Engineering, Pune, 2017. Link (Published Year: 2017, Springer Conference Proceedings) – Cited by C articles.

Conclusion

Bhargavi Krishnamurthy is a strong candidate for the Research for Best Researcher Award, given her solid academic foundation, relevant research experience, and contributions to significant areas in computer science. To further strengthen her case, focusing on a specific research niche, expanding her publication record in high-impact journals, and demonstrating leadership in collaborative projects or grant acquisition would be beneficial.