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Dr. Yang Liu is a researcher in numerical optimization and scientific computing, with a focus on scalable algorithms for large-scale nonconvex problems. His work integrates numerical linear algebra, tensor methods, and Krylov subspace techniques to advance efficient optimization frameworks. He has contributed to the development of Newton-MR methods, pseudoinverse solution recovery, and adaptive regularization strategies for higher-order tensor models. His research emphasizes matrix-free and high-performance implementations, with contributions incorporated into advanced solver libraries. Dr. Yang Liu actively engages in international collaborations and contributes to peer-reviewed journals and conferences in optimization and applied mathematics.
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Mr. Madhav Varshney is an emerging researcher in analytical and forensic chemistry with a strong focus on the detection, monitoring, and remediation of toxic chemical agents. His research integrates advanced sampling techniques, sorption materials, and instrumental analysis to address challenges in environmental and defense-related toxicology. He has authored 4 Scopus-indexed publications, contributing to high-impact journals in chemical sciences. His work has received 9 citations with an h-index of 2 (Scopus), reflecting growing academic recognition. His innovations include patented analytical systems and materials for toxicant detection, demonstrating significant contributions to chemical defense research, environmental monitoring, and analytical method development.
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