V. Tiwari
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Researcher
Also affiliated: Fermi National Accelerator Laboratory (2007–2008); Apollo Hospitals (2024); University of Allahabad (2006–2025); The University of Texas at Tyler (2022–2025); Himalayan University (2023); Institute of Engineering (2017); Raisoni Group of Institutions (2022); International Institute of Information Technology (2022); All India Institute of Medical Sciences, Nagpur (2023); G.L. Bajaj Institute of Technology and Management Greater Noida (2023); Indian Institute of Science Bangalore (2023); Carnegie Mellon University (2004–2009); Banaras Hindu University (2023)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
V. Tiwari's research focuses on the application of machine learning techniques to address complex challenges in both healthcare and cybersecurity. A significant portion of their work investigates the use of machine learning models for detecting cognitive impairments in Alzheimer's patients, specifically analyzing cerebrospinal fluid biomarkers. This research aims to improve early diagnosis and understanding of neurodegenerative diseases.
Tariwari's publications also demonstrate a broad interest in machine learning applications across various domains. This includes work on predicting heart diseases, developing intelligent robotic systems for face recognition, and scoring comment toxicity on social media platforms using transformer-based architectures. Additionally, their research extends to theoretical physics, with publications exploring quark-meson models and their phase diagrams.
With a substantial publication record (149 total publications) and a high h-index (39), Tiwari has established a significant presence in their fields. Their work is characterized by a multidisciplinary approach, integrating computational methods with biological and security-related problems.
Metrics
- h-index: 39
- Publications: 147
- Citations: 5,198
Selected Publications
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Toward Predictive Modeling of Microneedle Design: Establishing a Correlation Between CAD Models, 3D Printed Arrays, and PDMS Molds (2025)
Collaboration Network
Top Collaborators
- Toward Predictive Modeling of Microneedle Design: Establishing a Correlation Between CAD Models, 3D Printed Arrays, and PDMS Molds
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