Mr. Jaideep Sharma | Quantum-Classical Models | Research Excellence Award

Mr. Jaideep Sharma | Quantum-Classical Models | Research Excellence Award

Microsoft India Pvt. Ltd. | India

Mr. Jaideep Sharma is an emerging researcher in Computer Science and Engineering with a growing focus on advanced computational intelligence, particularly the integration of quantum and classical machine learning techniques. As an undergraduate student at the Indian Institute of Technology (BHU), Varanasi, he has demonstrated early research capability through his peer-reviewed publication titled “QGCNLP: Hybrid Quantum–Classical Graph Convolutional Network based Link Prediction” in an internationally recognized journal. His work highlights expertise in graph neural networks, link prediction, and hybrid quantum-classical frameworks, reflecting strong interdisciplinary knowledge. With one publication and collaborative research contributions alongside established scholars, he is steadily building his academic profile. His research addresses complex data-driven challenges with potential applications in social network analysis, recommendation systems, and bioinformatics. Overall, his work signifies a promising trajectory toward next-generation computing solutions, combining innovation, collaboration, and relevance to both scientific advancement and broader societal applications.


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Eleonora Lorenza Zich | Quantum Computing | Research Excellence Award

Ms. Eleonora Lorenza Zich | Quantum Computing | Research Excellence Award

Politecnico di Milano | Italy 

Ms. Eleonora L. Zich is a researcher at the Politecnico di Milano, focusing on computational electromagnetics and advanced optimization methodologies. Her work integrates evolutionary algorithms, quantum-inspired computing, and numerical modeling to address complex electromagnetic design problems with enhanced efficiency and precision. Zich has authored 8 scientific publications, which have collectively received 8 citations, contributing to an h-index of 2, reflecting a developing yet increasingly recognized research trajectory. A notable example of her recent work is the 2025 article “Quantum Selection for Genetic Algorithms Applied to Electromagnetic Design Problems,” which demonstrates her commitment to innovating optimization frameworks for engineering applications. By incorporating quantum-based selection mechanisms into genetic algorithms, she advances computational strategies that can significantly improve the performance of electromagnetic design workflows. Zich collaborates with ten co-authors, indicating active participation in interdisciplinary research networks spanning electrical engineering, applied physics, and computational sciences. These collaborations enhance the breadth and applied relevance of her contributions, particularly in fields such as telecommunications, sensing technologies, and electronic component optimization. Through her focus on algorithmic innovation and computational efficiency, Zich’s work supports the development of advanced tools that have the potential to influence both academic research and industrial technological progress.

Citation Metrics (Scopus)

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🟦 Citations        🟥 Documents          🟩 h-index

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