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Dr. Pallavi M.

Assistant Professor, Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Chennai

Qualification: BSc, MSc, Ph.D
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Research Interest: Quantum Machine Learning, Natural Language Processing, Artificial Intelligence in Healthcare

Bio Publications Academic Qualifications Professional Appointments Technical Skills FDPs / Workshops Attended / Courses Technical Skills Additional Information
Bio

Dr. Pallavi M. currently serves as an Assistant Professor in the Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Chennai Campus. She is actively involved in teaching, research, and student mentoring with a focus on emerging areas such as Quantum Machine Learning, Bioinformatics, and Artificial Intelligence. She has published 16 research articles in reputed Scopus-indexed journals and international conferences. Her work primarily contributes to healthcare sustainability and early-stage drug discovery using advanced computational techniques.

Academic Qualifications
2023 – 2026 Ph.D. in Computer Science and Engineering Amrita Vishwa Vidyapeetham, Chennai Thesis Title: Quantum Feature Mapping and Kernel-based Learning for Early-Stage Drug Discovery
2016 – 2018 M.Sc. Computer Science Chaitanya Women’s PG College, Visakhapatnam.
2013 – 2016 B.Sc. Computer Science M.V.R Degree College, Visakhapatnam
Professional Appointments
2026 – Present Assistant Professor, Amrita School of Engineering, Chennai Campus
2023 – 2026 Research Scholar & Teaching Assistant Amrita School of Engineering, Chennai Campus
Technical Skills
  • Quantum Computing: Qiskit, PennyLane, IBM Quantum Experience
  • Programming & AI: Python, TensorFlow, PyTorch, Scikit-learn
  • Data Science: Pandas, NumPy, Matplotlib, Seaborn
  • Computing: GPU Computing, Cloud-based AI environments
FDPs / Workshops Attended / Courses
  • AICTE–ATAL Faculty Development Programme on Quantum Computing: Research Perspectives in Communication and Healthcare Industries attended at Panimalar Engineering College during December 2023.
  • AICTE–ATAL Faculty Development Programme on Quantum AI and High-Performance Computing for Industrial Digital Twins attended during September 2024.
  • AICTE–ATAL Faculty Development Programme on High-Performance Computing and Quantum Technology for Next-Generation Smart Cities and Intelligent Mobility Applications attended in 2024.
  • Successfully completed the Quantum Technology -1 programme conducted by the Ministry of Education (MoE), Government of India
Technical Skills
  • Hands on experience in quantum computing using Qiskit, PennyLane, and IBM Quantum Experience.
  • Proficiency in artificial intelligence and machine learning using Python, TensorFlow, PyTorch, and Scikit-learn.
  • Experience with data science tools such as Pandas, NumPy, Matplotlib, and Seaborn.
  • Practical exposure to GPU computing and cloud based AI environments.
Additional Information
  • Languages: English, Telugu, Tamil, Hindi
  • Certification: AICTE (Quantum Technologies and Applications)
  • Awards: Prathiba Award (Merit Certificate from the Government of AP)
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