CSE - ARTIFICIAL INTELLIGENCE & MACHINE LEARNING

Ms. Pallavi Malavath

Ms. Pallavi Malavath

Assistant Professor
pallavi.m@bvrithyderabad.edu.in

AICTE ID: 1-2787599
JNTUH ID: 1828-170210-26007
Ratified Status: –

Ph.D.: 2023

M.Tech.: JNTUH 2010
B.Tech.: JNTUH 2007

Teaching Experience: 10+ Years
Research Experience: Nil
Industry Experience: Nil

Scopus ID: 57270269200
WoS ID: –
Google Scholar ID:  BUXHOnIAAAAJ
Vidwan ID: https://vidwan.inflibnet.ac.in/profile/691035
ORCID ID: 0000-0003-4180-6062

Data Mining, Computer Vision, Machine Learning, Deep Learning

Got “Best Researcher Award”  in Global Excellence Awards on 15th December, 2024, IIT Alumni   Industry Interaction Center, IIT Madras Research Park, India which is organized by TN Global Research.

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  1. Abdul Nabi Shaik, Pallavi Malavath, Poluru Eswaraiah, Anusha Papasani, Klodian Dhoska(2026) A Comprehensive Survey on Models, Architectures, and Performance Metrics for Medicinal Plant Classification Using Machine Learning and Deep Learning Approaches. International journal of Advancement in Life Sciences Research .  DOI 10.31632/ijalsr.2026.v09i01.001. (SCOPUS with Impact Factor 0.244- Q3)
  2. Jhansi Rani Challapalli, Revathi Durgam b , Bhagya Lakshmi Nandipati c , Pallavi Malavath(2026).Intelligent fine-tuning of convolutional neural networks using flamingo search for traditional dance classification. Systems and Soft Computing. Volume 8, June 2026, 200449. https://doi.org/10.1016/j.sasc.2026.200449  (SCI with Impact Factor 3.6- Q2)
  3. Malavath, P., Devarakonda, Z. (2022) Coot Optimization Based Enhanced Global Pyramid Network for 3D Hand Pose Estimation. In Machine Learning science and Technology. https://doi.org/10.1088/2632-2153/ac9fa5 (Science Citation Index Expanded (SCI with Impact Factor 6.013- Q1)
  4. Malavath, p., Devarakonda (2022) Estimation of 3D Anatomically Précised Hand PosesUsing Single Shot Corrective CNN .Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-15, 2023. DOI: 10.3233/JIFS-231779. (SCI with Impact Factor 1.737-Q2)op
  5. Malavath, P., Devarakonda, N., & Polkowski, Z. (2022). Natya Shastra: Deep Learning for Automatic Classification of Hand Mudra in Indian Classical Dance Videos. Revue d’Intelligence Artificielle . Jun2023, Vol. 37 Issue 3, p689-701. 13p.(SCOPUS Indexed.
  6. Malavath, P., Devarakonda, Z. (2022) 3D Hand Pose Mudra Estimation using Evidence Network with Enhanced RetinaNet. In Frontiers of Computer Science (SCI). (under Review).
  1. Malavath, P., Devarakonda, N., & Polkowski, Z. (2022). Assessment of 3-Dimensional Hand Pose by PosePrior Network for Images. In Proceedings of Data Analytics and Management (pp. 721-738). Springer, Singapore. https://doi.org/10.1007/978-981-16-6285-0_58(SCOPUS Indexed)
  2. Malavath, P., Devarakonda, N., & Polkowski, Z. (2022). FINNger: To Ease Math Learning for Children using Hand Gestures by Applying Artificial Intelligence. In Advances in Electrical and Computer Technologies (pp. 239-256). Springer, Singapore. https://doi.org/10.1007/978-981-19-1111-8_20(SCOPUS Indexed).
  3. Malavath, P., Devarakonda, Z. (2022) Classification of Kathakali Asamyuktha Hasta Mudras Using Naive Bayes Classifier and Convolutional Neural Networks. In 9 TH International Symposium On Applied Computing For software And Smart Systems ACSS-2022, September 02-03, 2022. https:// : doi.org/1007/978-981-19-6791-7_8 (SCOPUS Indexed).
  4. Rani C.J., Devarakonda N., Kumari K.W.S.N., Malavath P. (2022) A Monadic and Effective Frame Work for Single Human Pose Estimation of 2D Images and Videos. In: Chen J.IZ., Tavares J.M.R.S., Iliyasu A.M., Du KL. (eds) Second International Conference on Image Processing and Capsule Networks. ICIPCN 2021. Lecture Notes in Networks and Systems, vol 300. Springer, Cham. https://doi.org/10.1007/978-3-030-84760-9_23. (SCOPUS Indexed).

MACHINE LEARNING BASED NEWBORN BABY SKIN DISEASE DETECTION DEVICE(PUBLISHED)

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  • Participated One-Week AICTE Training and Learning (ATAL) Academy Faculty Development Program on   “Unlocking Innovations with Block chain and Generative AI “at VVIT from 2-12-24 to 7-12-24.
  •  Participated One-Week Online FDP on “Generative Artificial Intelligence (AI) for Data Visualization” at LBRCE,  Mylavaram, Vijayawada from 24-6-24 to 29-6-24.
  • Participated Five days Online FDP on “Exploring Generative AI: Foundation, Models and Real-World Applications in Vision and Language” from 25-8-25 to 30-8-25.
  • Attended 30 hours of faculty development programme on python training conducted by “SMART TRAINING RESOURCES INDIA PVT LTD” during the period from august,2021 to november,2021 at VIT-AP University.
  • Completed course on “NASSCOM PYTHON” in association with coding ninjas conducted from Dec 2020 to Mar 2021.
  • COURSE COORDINATOR