Raghi K R | Deep Learning | Research Excellence Award

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Ms. Raghi K R | Deep Learning | Research Excellence Award

Sathyabama University | India

Ms. Raghi K R is a distinguished researcher in the field of Computer Science and Engineering, with expertise spanning Artificial Intelligence, Deep Learning, Machine Learning, Cloud Security, and Web Mining. Her research primarily focuses on developing privacy-preserving and secure computing frameworks, innovative AI and IoT-based solutions for healthcare, smart surveillance, and environmental monitoring, and advancing cloud-based neural network applications. She has made significant contributions to privacy-preserving deep neural network classification over signature cryptosystems in cloud environments and has been recognized for her innovative work in smart healthcare systems, anomaly detection in CCTV surveillance, and real-time data analysis. With 29 citations, an h-index of 4, and an i10-index of 0 (Google Scholar), her research impact is further reflected in her scholarly publications and patents, encompassing AI-driven predictive modeling, blockchain-based data security, and deep learning applications in medical and industrial domains. Dr. Raghi has published extensively in IEEE and other international conferences, including landmark works on Huntington’s disease prediction, touch-free smart home systems, proactive detection of cybersecurity threats, and driver distraction detection. Her research is characterized by integrating theoretical rigor with practical applications, often combining AI, IoT, and cloud computing to solve complex real-world problems. She actively mentors student projects and has guided multiple innovative projects recognized by professional societies. Her work has been cited across numerous documents, demonstrating both the quality and relevance of her contributions in AI, cybersecurity, and cloud computing research. Dr. Raghi K.R has been honored with the Research Excellence Award for her outstanding contributions to advanced computing and AI applications.

Publication Profile

Orcid | Google Scholar

Featured Publications

  • Raghi, K.R., & Sudha, K. (2024). Software development automation using generative AI. International Conference on Emerging Research in Computational Science.

  • Thomas, R.K., Lemuel, C.P., Sanjay, G., Pandeeswaran, C., & Raghi, K.R. (2024). Advanced CCTV surveillance anomaly detection, alert generation and crowd management using deep learning algorithm. 3rd International Conference on Artificial Intelligence for Internet of Things.

  • Devi, S.R., Priya, S.G., Sathi, G., Kumar, S.N., & Raghi, K.R. (2024). Design and development of a touch free smart home controlling system based on virtual reality (VR) technology. International Conference on Intelligent Systems for Cybersecurity (ISCS 2024).

  • Vethavikashini, A.M., Jamal, S.M., & Raghi, K.R. (2024). Huntington’s disease prediction using Xception CNN. 2nd International Conference on Disruptive Technologies (ICDT 2024), 201-208.

  • Raghi, K.R., & Paramarthalingam, A. (2024). Proactive detection of Mirai botnet threats: Leveraging XGBoost for enhanced cybersecurity. IET Conference Proceedings CP900, 34-39.

Jesus Gil Ruiz | Artificial Intelligence | Best Researcher Award

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Assist. Prof. Dr. Jesus Gil Ruiz | Artificial Intelligence | Best Researcher Award

European University of Madrid | Spain

Assist. Prof. Dr. Jesus Gil Ruiz is an International Doctor in Computer Science specializing in Artificial Intelligence with distinction of Outstanding, combining more than years of academic, research, and professional experience in AI, Digital Twins, and Digital Transformation. Based in Madrid, Spain, he is co-founder and Project Manager at PROJENER.AI, where he develops innovative AI-driven solutions to optimize project execution and business performance. He has served as Teaching and Research Staff (TRS) at the International University of La Rioja, where he held leadership roles as Deputy Director, Academic Director, and Executive Director of multiple master’s programs including AI, Digital Twins, and IoT. He is also a visiting professor at prestigious institutions such as EAE Business School, Universidad Europea de Madrid, and MIU Miami University. Recognized for his international collaborations and expertise, he actively contributes to academia, industry projects, and conferences while mentoring graduate students globally.

Profile:

Scopus

Google Scholar

Education:

Assist. Prof. Dr. Jesus Gil Ruiz has pursued an extensive academic journey, holding an International PhD in Computer Science with a focus on Artificial Intelligence from the International University of La Rioja, complemented by a Doctorate in Economics and Business from the International Iberoamerican University of Mexico. His education includes multiple executive and technical programs from top global universities, such as the Executive Program in Artificial Intelligence applied to Strategic Business Management at MIT and the Executive Program in Business Analytics at Wharton. He also holds a Master’s in Executive Business Administration (EMBA) and a Master’s in Financial Management and Cost Control from EAE Business School/University of Barcelona, alongside advanced master’s degrees in Project and Infrastructure Management from Polytechnic University of Catalonia. He further completed engineering studies in Industrial Organization, Civil Engineering, and Senior Industrial Engineering at the University of Cádiz. This strong multidisciplinary foundation equips him with the academic rigor to bridge AI, engineering, and management disciplines effectively.

Experience:

Assist. Prof. Dr. Jesus Gil Ruiz has accumulated of international experience spanning academia, industry, and entrepreneurship. As co-founder and Project Manager at PROJENER.AI, he leads AI-driven innovations to improve project execution and digital transformation strategies. His professional background includes leadership roles such as Project Director at Exceltic and Engineering Director in Africa for Isolux Corsan, overseeing projects across Europe, Africa, and the Americas. Earlier, he managed operations and projects at Técnicas Reunidas, SENER Engineering, and ABENGOA. In academia, he has served as TRS at the International University of La Rioja, directing master’s programs in Artificial Intelligence, Digital Twins, and IoT, while mentoring master’s theses annually. He is also an adjunct professor at EAE Business School and Universidad Europea de Madrid, teaching AI, Big Data, Data Visualization, and Project Management. His expertise extends to conferences, research publications, and collaborations with universities and technology companies worldwide.

Awards and Honors:

Assist. Prof. Dr. Jesus Gil Ruiz has been recognized for academic excellence and leadership. Early in his studies, he ranked second in his Industrial Engineering cohort and secured seventh place in his doctoral admissions at UNIR among seventy candidates. He has also been distinguished as an Outstanding International Doctor in Computer Science, acknowledging the quality and impact of his doctoral research in Artificial Intelligence. His leadership as Academic Director of digital transformation programs has been acknowledged internationally, particularly at MIU Miami University, where he successfully directed the Expert Program in Digital Project Management with over students enrolled. Beyond formal distinctions, his contributions have earned recognition through invitations to speak at prestigious conferences, seminars, and training events worldwide, showcasing his expertise in AI, Digital Twins, and Industry These honors highlight his reputation as both an innovative researcher and a highly respected academic and professional leader.

Research Focus:

Assist. Prof. Dr. Jesus Gil Ruiz research is centered on Artificial Intelligence, Digital Twins, and their applications in project management, renewable energy, and industrial transformation. His work focuses on developing hybrid AI models, combining neural networks, fuzzy systems, and evolutionary algorithms to solve complex real-world problems. His projects include predictive modeling in photovoltaic plants, supply chain optimization through IoT and data analytics, blockchain for financial transparency, and AI-driven recommendation systems. He has also pioneered research into digital twin technologies applied to sectors such as naval engineering, aerospace, agriculture, and energy, aiming to optimize performance, efficiency, and sustainability. directed master’s theses annually, he contributes significantly to academic research while fostering innovation in industry. His publications in international journals and conferences address cutting-edge topics like AI in project management, machine learning in renewable energy, and optimization of recommender systems, underscoring his commitment to bridging theory and practice for global impact.

Publication:

Title: The Application of Artificial Intelligence in Project Management Research: A Review
Year: 2021
Citations: 105

Title: Hybrid Machine Learning Techniques in the Management of Harmful Algal Blooms Impact
Year: 2023
Citations: 11

Title: Self-Sovereign Identity on the Blockchain: Contextual Analysis and Quantification of SSI Principles Implementation
Year: 2024
Citations: 10

Title: The Application of Artificial Intelligence Planning and Scheduling in Photovoltaic Plant Construction Projects
Year: 2025
Citations: 2

Title: Planificación y gestión de proyectos de plantas fotovoltaicas aplicando inteligencia artificial
Year: 2021
Citations: 2

Title: Artificial Intelligent Application in Project Management: An Algorithm Comparison for Solar Plants Planning Construction
Year: 2025

Title: Optimizing Photovoltaic Energy Prediction in Europe: Advanced AI Models for Sustainable Industrial Engineering
Year: 2024

Title: Optimization of Recommender Systems Using Particle Swarms
Year: 2023

Title: Proyecto de principales mecanismos de potencia de grúa pórtico móvil porta contenedores de 60 ton
Year: 2010

Conclusion:

Assist. Prof. Dr. Jesus Gil Ruiz stands out as a highly qualified candidate for the Best Researcher Award, with a strong blend of academic contributions, applied innovations, and global engagement. His pioneering efforts in applying AI and digital twins to complex industrial and business challenges highlight his relevance to contemporary scientific and technological advancement. With targeted efforts toward consolidating research impact and expanding international collaborations, he has the potential to further solidify his position as a leading figure in artificial intelligence and digital transformation research.