Skip to main content
Lakshmi Bala

Lakshmi Bala

Doctorate in Computer Science

Talent
SingaporeMember since August 14, 2026
PythonC++MatLabPHPAnacondaJupyter NotebookPyTorchTensorFlowAndroid StudioData CompressionDeep LearningNeural Networks
·

Hire this person

Send a job offer directly to this candidate

PythonC++MatLabPHPAnaconda

About

To ensure betterment of myself as well as the Institute by enhancing my professional skills and knowledge through resources available in the Institute.

Experience

Ph.D. Research Scholar - University of Madras, Guindy Campus, Chennai - Chennai

(2022-01 - 2026-12)

Research focused on Video and 3D LiDAR point cloud data compression and processing.

  • Development of efficient 3D LiDAR compression methods using octree-based, graph-wavelet, statistical, hierarchical, and deep-learning techniques to reduce spatial and statistical redundancy.
  • Improvement of compression performance through Morton coding, arithmetic coding, Karhunen-Loeve Transform (KLT), Lloyd–Max quantization, Bloom Filters, t-distributed Stochastic Neighbor Embedding (t-SNE), Density-Based Spatial Clustering of Applications with Noise (DBSCAN), K-Dimensional (K-D) Trees, and neural-network-based feature learning, targeting reduced file size, faster processing, and better rate–distortion performance.
  • Development of a unified and scalable compression framework for large-scale 3D LiDAR point clouds that preserves essential geometric and attribute information while reducing storage, bandwidth, and computational requirements for real-world applications.
  • Implementation & Evaluation: Implemented the proposed methods using Python/Anaconda Jupyter Notebook and evaluated them using compression ratio, file size, PSNR, MSE, RMSE, BPP, and reconstruction quality.

Assistant Professor in the Department of Computer Science and in the Department of computer applications - PERI College of Arts & Science

(2021-01 - 2022-12)

Teaching and curriculum development in Computer Science and Computer Applications departments.

  • Object-Oriented Analysis and Design (OOAD) – Taught for 3rd year Students, covering object-oriented concepts, UML diagrams, system analysis, and software design principles.
  • Android Application Development – Delivered courses/laboratory sessions on Android application development, including UI design, application components, and mobile application development for 2nd year Students.
  • Open-Source Software – Taught for 2nd year Students, introducing students to open-source software, development environments, version control, and collaborative software development.
  • Developed and implemented class curriculum and prepared essay prompts and assignments.
  • Completed daily preparation for lessons and assignments, completed grading of daily tasks and assignments.
  • Provided tutoring and hands on assistance to struggling students.
  • Guided students in understanding practical concepts and technical applications through interactive and hands-on learning.

Education

Ph.D.

  • Computer Science - University of Madras (2022-01 - 2026-12)

M.Phil.

  • Computer Science - Presidency College, University of Madras (2020-01 - 2021-12)

M.Sc - Computer Science - Queen Mary's College, University of Madras (2018-01 - 2020-12)

B.Sc - Computer Science - New Prince Shri Bhavani Arts & Science College, University of Madras (2015-01 - 2018-12)

Skills

Doctorate in Computer Science

Reviews

Related