Zhi Liu | Artificial Intelligence | Research Excellence Award

Published on by AI Data Scientist

Prof. Zhi Liu | Artificial Intelligence | Research Excellence Award

Professor | Shandong University | China

Prof. Zhi Liu is a prominent researcher in Artificial Intelligence, specializing in machine learning, deep neural networks, and intelligent data analysis. His work focuses strongly on medical imaging, biomedical signal processing, and computer vision applications. He integrates domain knowledge with advanced AI models to enhance accuracy, robustness, and interpretability. His contributions include weakly supervised learning, multi-scale feature fusion, transformer-based models, and time-series analysis. Through interdisciplinary research, he advances impactful AI solutions for healthcare and intelligent systems.

Prof Zhi Liu
Shandong University
Artificial Intelligence | China

Citation Metrics (Scopus)

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3000

2000

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0

Citations
4,806

Documents
250

h-index
33


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Featured Publications

Dr. Manisha Nene | Artificial Intelligence | Best Researcher Award

Published on by AI Data Scientist

Dr. Manisha Nene | Artificial Intelligence | Best Researcher Award 

Seasoned Leader, Defence Institute of Advanced Technology, India

Dr. Manisha Nene, a seasoned leader at the intersection of research, academia, and industry, holds a Ph.D. in Computer Science and has devoted over two decades to advancing artificial intelligence and cybersecurity. Throughout her career she has held key leadership roles, including Director of the School of Mathematical Sciences and Computer Engineering and Head of the Department of Computer Science & Engineering at DIAT-DRDO. Her professional experience spans guiding doctoral and master’s scholars, leading national-level research projects, and founding MAJINE Systems Pvt. Ltd., which develops cybersecurity and AI-based solutions rooted in her patented innovations. Dr. Nene’s research interests lie in secure AI, trustworthy computing, digital transformation, and responsible infrastructure. She is proficient in advanced research skills such as machine learning, adversarial defense, threat modeling, deep neural networks, cryptographic protocols, and data analytics. Over her career she has received numerous awards, including IETE’s Smt. Triveni Devi Award for her contributions to ICT for society, the Future Crime Research Foundation’s Award of Excellence for PAN-India cyber security training, institute-level Researcher of the Year awards, and multiple Best Paper Awards at international conferences. Her Scopus profile reflects 129 documents, over 716 citations, and an h-index of 13 (Scopus ID: 35488434700).

profile: GOOGLE SCHOLAR | SCOPUS | ORCID 

Featured Publications

  • Nene, M. A secure AI framework for adversarial attack mitigation in critical infrastructures. (202, 45 citations)

  • Nene, M. Trustworthy deep learning in cyber-physical systems: techniques and challenges. (2022, 55 citations)

  • Nene, M. Privacy-preserving machine learning with homomorphic encryption in cloud environments. (2020, 38 citations)

  • Nene, M. Blockchain-enabled authentication protocols for Internet of Things security. (2019, 29 citations)