Regular biography
TYAGI Hemant Nanyang is an Associate Professor at Nanyang Technological University, School of Physical and Mathematical Sciences, Department of Mathematics. His research interests include High-dimensional statistics, Numerical analysis, Optimization, Statistical learning theory, and Inverse problems on graphs. He holds a PhD from ETH Zurich and is affiliated with the university's mathematics department. His profile and contact details are available on the faculty page of the School of Physical and Mathematical Sciences.
Scholar-generated biography
Hemant Tyagi is a researcher at Nanyang Technological University, Singapore, specializing in learning theory, optimization, and high dimensional statistics. His work focuses on developing theoretical frameworks and algorithms for complex data analysis tasks. Key areas include clustering signed networks, spectral methods for synchronization, and non-parametric models in high dimensions. He has contributed to problems such as denoising modulo 1 samples, active learning of multi-index models, and robust estimation of smooth functions. His research also addresses dynamic ranking, sparse additive models, and efficient sampling techniques for high-dimensional data. Tyagi's publications emphasize theoretical guarantees and practical applications in machine learning and signal processing.