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.

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Featured Publications

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

Agnieszka Wojskowicz | AI in Healthcare | Research Excellence Award

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Mrs. Agnieszka Wojskowicz | AI in Healthcare | Research Excellence Award

Mrs. Agnieszka Wojskowicz is a researcher at BCO, Poland, specializing in AI in Healthcare. Her work focuses on applying artificial intelligence to improve clinical decision-making, patient outcomes, and geriatric care analysis. She contributes to medical research through data-driven approaches, enhancing healthcare systems with innovative, technology-based solutions and evidence-based methodologies.

Citation Metrics (Scopus)

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Featured Publications

Prognostic factors of long-term survival in geriatric inpatients
– Journal of Nutrition Health and Aging, 2015 | Citations: 20

Khadija Javed | Artificial Intelligence | Excellence in Research Award

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Dr. Khadija Javed | Artificial Intelligence | Excellence in Research Award

Assistant Professor| Lanzhou University | China

Dr. Khadija Javed is a prominent researcher at Lanzhou University, specializing in Artificial Intelligence with a focus on data-driven modeling, bioinformatics, and computational analysis. Her work integrates AI techniques with interdisciplinary applications, contributing to impactful research in healthcare, environmental studies, and intelligent systems, supported by a strong global citation record and academic influence.

Citation Metrics (Google Scholar)

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Featured Publications

Minimum redundancy feature selection from microarray gene expression data
– Journal of Bioinformatics and Computational Biology, 2005 | Citations: 4067
Effect of early tranexamic acid administration on mortality in women with post-partum haemorrhage
– The Lancet, 2017 | Citations: 1841
Origin of antibiotics and antibiotic resistance: impacts on drug development
– Pharmaceuticals, 2023 | Citations: 1330
Use of chest CT with negative RT-PCR for COVID-19 diagnosis
– Radiology, 2020 | Citations: 801
Heavy-metal-induced reactive oxygen species and phytotoxicity in plants
– Environmental Toxicology Review, 2014 | Citations: 741

Pascal Lorenz | Internet of Things (IoT) Data | Research Excellence Award

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Prof. Dr. Pascal Lorenz | Internet of Things (IoT) Data | Research Excellence Award

Professor| University of Haute Alsace | France

Prof. Dr. Pascal Lorenz is a distinguished researcher in Internet of Things (IoT) and data-driven network systems, recognized for advancing secure, energy-efficient communication technologies. His work spans wireless networks, IoT architectures, and intelligent routing protocols, contributing significantly to academic research and real-world applications, earning him recognition for research excellence.

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Featured Publications

Lightweight semantic compression visual cryptography for secure medical image transmission in IoT systems
– Scientific Reports, 2026 | Citations: 0

Optimized Route Selection in RPL: Static and Dynamic Parent Evaluation for Energy-Efficient IoT Networks
– Journal of Network and Systems Management, 2026

SARP: A Secure and Adaptive Machine Learning-Driven Routing Protocol for Dynamic IoT Networks
– Journal of Network and Systems Management, 2026

Li-Fi Range Challenge: Improvement and Optimization
– Telecom, 2026

An Efficient Post-Quantum Lattice-Based Encryption Scheme for Secure Communication in Vehicular Ad-Hoc Networks
– IEEE Transactions on Vehicular Technology, 2026

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