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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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Scopus Author ID
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.

Publications

Conference Proceedings

Year : 2025

VisiQuest:Video-Question Answering with Advanced Vision-Language AI

Cite this Research Publication : Samuji Praneeth, R Prasanna Kumar, Gundala Pallavi, VisiQuest:Video-Question Answering with Advanced Vision-Language AI, 2025 International Conference on Computing Technologies (ICOCT), IEEE, 2025, https://doi.org/10.1109/icoct64433.2025.11118375

Publisher : IEEE

Year : 2025

Sector-Wise Portfolio Risk Assessment: Monte Carlo Simulation of NIFTY 50 Stocks

Cite this Research Publication : A Sohan Avaneesh Guptha, Sri Surya Shobith Kamisetty, K Rupesh Venkata Sai Krishna, Bharathi Mohan G, Gundala Pallavi, Prasanna Kumar R, Sector-Wise Portfolio Risk Assessment: Monte Carlo Simulation of NIFTY 50 Stocks, 2025 International Conference on Advanced Computing Technologies (ICoACT), IEEE, 2025, https://doi.org/10.1109/icoact63339.2025.11005178

Publisher : IEEE

Conference Paper

Year : 2025

QueryVerse: Transform Prompts Into Data

Cite this Research Publication : Samuji Praneeth, R Prasanna Kumar, Gundala Pallavi, QueryVerse: Transform Prompts Into Data, 2025 International Conference on Computing Technologies (ICOCT), IEEE, 2025, https://doi.org/10.1109/icoct64433.2025.11118725

Publisher : IEEE

Journal Article

Year : 2025

Quantum natural language processing and its applications in bioinformatics: a comprehensive review of methodologies, concepts, and future directions

Cite this Research Publication : Gundala Pallavi, Rangarajan Prasanna Kumar, Quantum natural language processing and its applications in bioinformatics: a comprehensive review of methodologies, concepts, and future directions, Frontiers in Computer Science, Frontiers Media SA, 2025, https://doi.org/10.3389/fcomp.2025.1464122

Publisher : Frontiers Media SA

Year : 2025

QKDTI A quantum kernel based machine learning model for drug target interaction prediction

Cite this Research Publication : Gundala Pallavi, Ali Altalbe, R. Prasanna Kumar, QKDTI A quantum kernel based machine learning model for drug target interaction prediction, Scientific Reports, Springer Science and Business Media LLC, 2025, https://doi.org/10.1038/s41598-025-07303-z

Publisher : Springer Science and Business Media LLC

Year : 2025

A Hybrid Framework Integrating QML, AI, and Quantum-Safe Cryptography for Cybersecurity

Cite this Research Publication : Ramasubramaniyan Gunasridharan, Ali Altalbe, Bharathi Mohan Gurusamy, Gundala Pallavi, Prasanna Kumar Rangarajan, A Hybrid Framework Integrating QML, AI, and Quantum-Safe Cryptography for Cybersecurity, Journal of Computational and Cognitive Engineering, BON VIEW PUBLISHING PTE, 2025, https://doi.org/10.47852/bonviewjcce52025121

Publisher : BON VIEW PUBLISHING PTE

Year : 2024

VisTA: vision transformer-attention enhanced CNN ensemble for optimized classification of acute lymphoblastic leukemia benign and progressive malignant stages

Cite this Research Publication : Hasmitha Krishna Nunna, Ali Altable, Pallavi Gundala, Prasanna Kumar Rangarajan, VisTA: vision transformer-attention enhanced CNN ensemble for optimized classification of acute lymphoblastic leukemia benign and progressive malignant stages, International Journal of Information Technology, Springer Science and Business Media LLC, 2024, https://doi.org/10.1007/s41870-024-02126-z

Publisher : Springer Science and Business Media LLC

Year : 2024

A fusion of cross-shaped window attention block and enhanced 3D U-Net for brain tumor segmentation

Cite this Research Publication : Ramya Polaki, Prasanna Kumar Rangarajan, Gundala Pallavi, Elakkiya Rajasekhar, Ali Altalbe, A fusion of cross-shaped window attention block and enhanced 3D U-Net for brain tumor segmentation, International Journal of Electrical and Computer Engineering (IJECE), Institute of Advanced Engineering and Science, 2024, https://doi.org/10.11591/ijece.v14i6.pp7103-7115

Publisher : Institute of Advanced Engineering and Science

Year : 2024

The social media sentiment analysis framework: deep learning for sentiment analysis on social media

Cite this Research Publication : Rangarajan, P. K., Gurusamy, B. M., Muthurasu, G., Mohan, R., Pallavi,G.,Vijayakumar, S., & Altalbe, A. (2024). The social media sentiment analysis framework: deep learning for sentiment analysis on social media. International Journal of Electrical and Computer Engineering (IJECE), 14(3), 1-1x

Publisher : International Journal of Electrical and Computer Engineering (IJECE)

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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