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Dr. Vaishali

Assistant Professor, School of Artificial Intelligence, Faridabad

Qualification: Ph.D., M.Sc., B.Sc
vaishali@dl.amrita.edu
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Research Interest: Artificial Intelligence and Machine Learning, Quantum Computing and Quantum Information, AI/ML for Scientific and Quantum Applications, Quantum Data Analysis and Quantum State Characterization, Computational Methods for Complex Systems

Bio

Dr. Vaishali is an Assistant Professor in the School of Artificial Intelligence at Amrita Vishwa Vidyapeetham, Faridabad Campus. She holds a Ph.D. in Physics (Quantum Computing) from the Indian Institute of Science Education and Research (IISER), Mohali. Her research interests lie at the intersection of Artificial Intelligence, Machine Learning, Quantum Computing, and computational approaches to complex scientific problems. Her work has focused on quantum information processing, quantum correlations, quantum entanglement, and the application of machine learning techniques to quantum-state characterization and analysis. She is also interested in interdisciplinary applications of AI and computational methods across science and technology.

FDP
  • One Week International Faculty Development Programme on Artificial Intelligence: A Multidisciplinary Perspective, 19–23 January 2026, Galgotias University.
  • Workshop on Emerging Trends on Optoelectronics Material and Photonics Technologies (ETOMPT), 20–24 April 2026, Galgotias University.
Awards
  • Travel Fellowship – Quantum Communication, Measurement and Computing (QCMC 2024), Chennai
  • Travel Fellowship – Quantum Information Processing (QIP 2024), Taiwan
  • JEST Physics – All India Rank 81 (2018)
  • GATE Physics – AIR 269 (2017)
Conferences
  • International Conference on Quantum Computing and Communications (QCC 2023), Bathinda: Experimental Generation, Classification and Quantification of Entanglement.
  • QIP 2024, Taiwan: Quantum Non-Markovianity via Convex Mixing of Pauli Semigroups on an NMR Quantum Processor.
  • YouQu 2023, Harish-Chandra Research Institute: Classification and Measurement of Multipartite Entanglement via Correlation Tensors.
  • QFTA 2019, IISER Mohali Experimental Detection of Non-local Correlations using Local Measurement-Based Hierarchy.
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