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Dr. Lekshmi R

Assistant Professor -Level 10, School of Artificial Intelligence, Bengaluru

Qualification: Ph.D
r_lekshmi@blr.amrita.edu
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Research Interest: Explainable Artificial Intelligence, Computer Vision, Lightweight Deep Learning for Edge Computing, Intelligent Agricultural Systems, AI-based Healthcare Solutions, Time-Series Forecasting with Seasonal Pattern Analysis.

Bio Publications FDP / Workshops Research Talks Delivered Membership
Bio

Dr Lekshmi R currently serves as Assistant Professor at School of AI, Amrita Vishwa Vidyapeetham, Bengaluru. She received her Ph.D. in Artificial Intelligence from Cochin University of Science and Technology (CUSAT), Kerala. She has over 9 years of teaching, industry and research experience. Her research interests include Explainable Artificial Intelligence, Computer Vision, Lightweight Deep Learning, Healthcare AI.

Publications

Conference Proceedings

Year : 2026

LegisMind: LLM for Indian Legal System

Cite this Research Publication : Lekshmi R Abhijith P Biju, Abin Peter, Alan K Reji, Harischand S Nair, LegisMind: LLM for Indian Legal System, International Conference on Sustainable Development in Renewable Energy and Computing Techniques (ICSRC’26), 2026

Year : 2025

Adaptive Cross-Domain Intelligence for Power Transformer Failure Classification

Cite this Research Publication : Kalakatla Kiranmai, Rakesh Kumar Sanodiya, Lekshmi R, Adaptive Cross-Domain Intelligence for Power Transformer Failure Classification, 2025 IEEE International Conference on Communication Networks and Computing (CNC), IEEE, 2025, https://doi.org/10.1109/cnc68716.2025.11484524

Publisher : IEEE

Year : 2022

Joint Cross-Domain Preserving and Distribution Adaptation for Heterogeneous Domain Adaptation

Cite this Research Publication : Lekshmi R, Rakesh Kumar Sanodiya, Babita Roslind Jose, Jimson Mathew, Joint Cross-Domain Preserving and Distribution Adaptation for Heterogeneous Domain Adaptation, 2022 IEEE 19th India Council International Conference (INDICON), IEEE, 2022, https://doi.org/10.1109/indicon56171.2022.10039779

Publisher : IEEE

Year : 2021

Kernelized Transfer Feature Learning on Manifolds

Cite this Research Publication : R. Lekshmi, Rakesh Kumar Sanodiya, R. J. Linda, Babita Roslind Jose, Jimson Mathew, Kernelized Transfer Feature Learning on Manifolds, Lecture Notes in Computer Science, Springer International Publishing, 2021, https://doi.org/10.1007/978-3-030-92270-2_26

Publisher : Springer International Publishing

Research Article

Year : 2026

Adaptive time series classification using virtual adversarial domain adaptation techniques

Cite this Research Publication : Lekshmi R., Babita Roslind Jose, Jimson Mathew, Adaptive time series classification using virtual adversarial domain adaptation techniques, Engineering Applications of Artificial Intelligence, Elsevier BV, 2026, https://doi.org/10.1016/j.engappai.2025.112894

Publisher : Elsevier BV

Year : 2024

MNEMONIC: Multikernel contrastive domain adaptation for time-series classification

Cite this Research Publication : Lekshmi R., Babita Roslind Jose, Jimson Mathew, Rakesh Kumar Sanodiya, MNEMONIC: Multikernel contrastive domain adaptation for time-series classification, Engineering Applications of Artificial Intelligence, Elsevier BV, 2024, https://doi.org/10.1016/j.engappai.2024.108255

Publisher : Elsevier BV

Journal Article

Year : 2023

Kernelized global-local discriminant information preservation for unsupervised domain adaptation

Cite this Research Publication : Lekshmi R, Rakesh Kumar Sanodiya, Babita Roslind Jose, Jimson Mathew, Kernelized global-local discriminant information preservation for unsupervised domain adaptation, Applied Intelligence, Springer Science and Business Media LLC, 2023, https://doi.org/10.1007/s10489-023-04706-1

Publisher : Springer Science and Business Media LLC

FDP / Workshops

Workshops:

  1. Mathematics for Machine Learning- Department of Basic & Applied Science, NIT Arunachal Pradesh from 25th–30th January 2021.
  2. 2nd International Research Workshop on Advances in Deep Learning and Applications, (WADLA 2022), February 21-25, 2022, at Indian Institute of Information Technology, Sri City, Chittoor.
  3. 3rd International Research Workshop on Advances in Deep Learning and Applications, (WADLA-2023), December 11-16, 2023, at Indian Institute of Information Technology, Sri City, Chittoor.
  4. Image Processing, 19 – 23 June 2023, Organized by EduLakes Solutions LLP In Association with National Service Scheme (NSS) – IIT Roorkee.
  5. Quantum Computing”, organized by Centre for Development of Advanced Computing, Hyderabad & Indian Institute of Technology, Roorkee with the support of Ministry of Electronics and Information Technology, Government of India.
  6. 2-Week Online Winter Course on National Capacity Building Program on Research and Publications, held from 8th to 19th December 2025, organized by the Indian Institute of Technology, Dharwad, Karnataka.

FDP:

  1. Network Security Tools and implementations organized by Department of computer Science and Engineering (Cyber security) at Vimal Jyothi Engineering College, Kannur from 15th July to 16th July, 2024.
  2. AICTE Training & Learning (ATAL) FDP on “Machine Learning for Interdisciplinary Engineering Applications” scheduled from 12-Sept-2022 to 17-sept-2022(ONLINE MODE) and 19-sept-2022 to 23-Sept-2022(OFFLINE MODE).
  3. AICTE Training And Learning (ATAL) Academy Faculty Development Program on AI and Emerging Technologies for Sustainable Energy and Climate Adaptation at IIIT Kottayam from 25/11/2024 to 30/11/2024.
  4. Professional Development Program (PDP) on NBA Accreditation Process for UG and PG Programs by 28/04/2025 02/05/2025 at NITTTR (National Institute of Technical Teachers Training and Research, Chennai)
  5. Professional Mentoring Program (PMP) 2024 as an academic mentee, organized by IEEE India Council Industry Academia Young Professionals Committee (IAYPC) held from 20th August 2024 to 20th December 2024.
  6. AICTE Training And Learning (ATAL) Academy Faculty Development Program on Recent Trends in Artificial Intelligence and Data Science at PDEA’s College of Engineering, Manjari (Bk.), Hadapsar, Pune from 12/01/2026 to 17/01/2026

Certifications:

  1. Big Data and Hadoop by BECLOUD Technologies Kochi,
  2. Apache Spark & SCALA by EDUREKA.
  3. NPTEL- Deep Learning, Data Analytics with Python, Robotics, Introduction to Quantum Computing, Introduction to ML
Research Talks Delivered

IEEE- Robo Crew Tales-2025

Membership

ACM-543064

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