R S L Balaji

SXEcho Lite

Secure data-over-sound communication framework supporting audible and ultrasonic transmission for air-gapped and constrained environments.

Enables offline data transfer without internet or physical contact, ideal for IoT and embedded systems.

EdgeAI ECG

Real-time multi-class ECG arrhythmia classification optimized for low-power and edge devices.

Deploys lightweight neural networks for instant cardiac anomaly detection on wearable and IoT medical devices.

Hybrid EEG Model

Machine learning models for depression, stress, and panic attack prediction using EEG brainwave analysis.

Combines signal processing with deep learning to detect mental health patterns from brain activity data.

VetraSync

Adaptive, low-latency acoustic transmission protocol designed for resilient communication in noisy and variable channels.

Features dynamic error correction and frequency adaptation to maintain robust data transfer in harsh acoustic environments.

LLM Security Framework

Transformer-based system for extremism detection, ideology classification, and flagged content analysis in multilingual environments.

Leverages fine-tuned LLMs to identify harmful content patterns and radicalization indicators across diverse languages and platforms.

Sxspectra-lite-live

Web-based real-time spectrogram analysis tool for live audio frequency visualization and signal diagnostics.

Provides interactive FFT analysis and frequency domain monitoring for acoustic research and audio signal debugging.

sxBeacon

Lightweight sender–receiver communication system with C++ core and Python bindings for short-range data links.

Features CRC validation, chunked transfer with acknowledgments, and resume support for reliable packet transmission.

SXecho (V3.5R)

Advanced acoustic communication library with FSK/M-FSK modulation, Reed–Solomon, convolutional and LDPC error correction.

Supports ultrasonic frequency hopping, interleaving, adaptive symbol rate fallback for robust and stealth data transmission.

Admissibility Verification for Deep Representations

NeurIPS (Conference on Neural Information Processing Systems)

Novel framework for verifying whether neural network internal reasoning remains stable under adversarial stress ensuring robustness beyond surface-level output correctness.

Study of Machine Learning Techniques for Predicting Panic Attacks with EEG and Personalized Binaural Beat Frequencies

Journal of Applied Data Sciences (Q2)

Novel ML framework combining EEG analysis with personalized binaural beat frequencies for real-time panic attack prediction and intervention.

A Study of Unified Framework for Extremism Classification, Ideology Detection, Propaganda Analysis, and Flagged Data Detection Using Transformers

Journal of Applied Data Sciences (Q2)

Comprehensive transformer-based system for detecting extremist content, ideologies, propaganda, and harmful material across digital platforms.

The Study of Lightweight and Advanced Deep Learning Models for Accurate Classification of Cardiovascular ECG Rhythms

IEEE Access

Ultra-lightweight deep learning architecture optimized for edge deployment, achieving high accuracy in covering 20+ cardiac arrhythmias.

Deep Learning Model Performance on Critical Arrhythmia Detection Using CNN and WaveNet

IEEE Poland Section

Comparative analysis of CNN and WaveNet architectures for critical arrhythmia detection with focus on clinical accuracy and deployment feasibility.

Secure Acoustic Communication with Frequency-Hopping and Steganography for Underwater and Terrestrial Environments

IEEE Thailand Section

Innovative secure communication protocol utilizing frequency-hopping spread spectrum and acoustic steganography for covert data transmission.

Multi-Class Classification of Low-Frequency Hum in Electromagnetic Interference Using Hybrid Deep Learning Models

IEEE Thailand Section

Hybrid deep learning approach for precise classification and source identification of low-frequency electromagnetic interference patterns.

Deep Learning-Based Classification of Cardiac Arrhythmia in ECG Samples

IEEE Thailand Section

Advanced deep learning model for multi-class cardiac arrhythmia classification with clinical-grade accuracy for diverse ECG datasets.

A Study of Deep Learning Models for Identifying and Estimating Psychological Stress and Disorders Using Electroencephalogram Signals

IEEE IEECON 2025, Hua Hin, Thailand

Deep learning framework for automated detection and severity estimation of psychological stress using non-invasive EEG signal analysis.

Intelligent Flagged Content Detection with Transformer-Based Models for Secure Online Environments

IEEE IEECON 2025, Hua Hin, Thailand

Transformer-based multilingual content moderation system for detecting harmful and inappropriate content across online platforms.

Deep Learning-Based Predictive Modeling for Male Depression Detection

Journal of Information Technology

Predictive deep learning model utilizing demographic and behavioral patterns for early detection of depression in male populations.

Deep Learning-Based Classification of Premature Ventricular Contractions and Supraventricular Tachycardia Using ECG Signals

BBEMS-2025, Bangkok, Thailand

Automated classification system distinguishing between PVC and SVT arrhythmias using advanced deep learning on ECG waveforms.

Precision Tsunami Prognostication: A Machine Learning Expedition for Predictive Accuracy

18th Global Congress on Manufacturing and Management (GCMM 2024), Bangkok, Thailand

Machine learning-based tsunami prediction system leveraging historical data analysis to address the lack of real-time early warning systems in vulnerable coastal regions.

Deep Learning-Based Predictive Modeling for Male Depression Detection

ICLIST 2024, Chonburi, Thailand

Comprehensive deep learning approach for identifying depression indicators in male subjects using multi-modal behavioral data.

Data Analytics and Machine Learning Approach for Tsunami Prediction from Hydrographic Data

IEEE IEECON 2024, Pattaya, Thailand

Data-driven machine learning methodology utilizing hydrographic measurements for tsunami forecasting.

A Web-Based Doctor Appointment System

Journal of Emerging Technology and Innovative Research (JETIR)

Digital healthcare platform streamlining patient-doctor appointment scheduling with real-time availability and notification systems.

Vision Digital Solutions, Singapore

Vision X Innovations Pvt ltd, India

Altruisty Innovation Pvt ltd, India

Full-time

Trekcodes, India (Hybrid)

3 yrs 10 mos

King Mongkut's University of Technology Thonburi, Bangkok City, Thailand (On-site)

Supervised by Dr. Thawseeak Yingthawornsuk

Industrial & Commercial Waste Disposal Pte Ltd, Singapore (Hybrid)

King Mongkut's University of Technology Thonburi, Bangkok, Thailand

Supervised by Dr. Thawseeak Yingthawornsuk

Bachelor of Science in Robotics and Artificial Intelligence

Academy of Maritime Education and Training (AMET) University

2022 - 2025 • GPA: 3.53/4.00 (US Equivalent)

Office of the President of France

Issued by the office of Emmanuel Macron, President of the French Republic

Formally acknowledged by the Office of the President of France for outstanding academic contributions. The letter, issued under the authority of President Emmanuel Macron, conveyed personal encouragement and recognition of the significance of the research and professional initiatives undertaken.

Academy of Maritime Education and Training (AMET) Global Maritime Awards 2025

Jury: Prof. Dr. Gabriel Raicu (Rector, Constanta Maritime University, Romania), Prof. Stephen Hurd (Director, Centre for Seafaring and Maritime Operations, UK)

For pioneering integration of technology in maritime training

Dina Thanthi (Tamil Daily Newspaper, 1 Crore Readers)

For lightweight, highly accurate heart diagnostic software

INTI International University

For pioneering ultra-lightweight AI models for real-time ECG analysis

IEEE IEECON 2025, Hua Hin, Thailand

A Study of Deep Learning Models for Identifying and Estimating Psychological Stress

GCMM 2024, Bangkok, Thailand

Precision Tsunami Prognostication: A Machine Learning Expedition

ICLIST 2024, Chonburi, Thailand

Deep Learning-Based Predictive Modeling for Male Depression Detection

EDII, Government of Tamil Nadu

AI-driven advancements in electric vehicle technology and sustainable innovation

Cyber Conference 2023, Tamil Nadu Police Department

Showcased live demo on cybersecurity best practices and emerging threats

Dean, SOAD, King Mongkut's University of Technology Thonburi, Thailand

Novel hybrid deep learning architectures for automatic cardiac arrhythmia classification

INTI International University, Malaysia

Excellence in AI-driven healthcare innovations and collaborative research impact

Dean, Academy of Maritime Education and Training (AMET) University, India

Diverse technical skillset and commitment to UN SDGs

King Mongkut's University of Technology Thonburi, Thailand

Contributions in ML, DL, and data analytics for tsunami prediction and mental health diagnostics

Reviewer

Peer review for submissions in computer science, AI, and computational methods

Technical Program Committee Reviewer • Shanghai, China

Evaluation of research papers in applied computer science and software engineering domains