Research Activities
My work explores the fascinating intersection where quantum physics research meets artificial intelligence, creating breakthrough solutions for next-generation technologies. From published studies on quantum materials to award-winning AI systems, I bridge theoretical discoveries with practical implementations that demonstrate measurable impact across academia and industry.
Quantum Physics Research
Condensed matter physics focusing on MoTe2/Te heterostructures using advanced spectroscopic techniques
AI & Computer Vision
Deep learning models for pattern recognition, object detection, and real-time system optimization
Industrial Applications
Full-stack development of large-scale systems with proven performance improvements and patent applications
Physics Research & Publications
Fundamental research in quantum materials and spectroscopy with peer-reviewed publications
Quantum Materials & Spectroscopic Analysis
Conducted comprehensive analysis of 2D material properties using Raman spectroscopy for ACS Nano publication on large-scale tellurene film growth. My key contributions included systematic investigation of angle-dependent phonon behaviors and chain structure chirality analysis, revealing fundamental quantum mechanical properties at the microscopic scale. This research provided critical insights into how structural orientation affects material properties in quantum systems, bridging theoretical quantum mechanics with experimental validation."
Advanced Spectroscopic Analysis Techniques
Developed specialized expertise in angle-resolved polarized Raman spectroscopy for quantum materials characterization. Mastered complex experimental setups including laser alignment, low-temperature/high-vacuum systems, and precision optical measurements. Successfully identified chirality differences and angular dependencies in 2D materials, contributing to fundamental understanding of quantum-scale phenomena and structure-property relationships.
Academic Leadership & Research Excellence
Completed comprehensive physics thesis on phonon mode analysis with respect to tellurium growth direction using angle-resolved polarized Raman spectroscopy. Presented research through both poster and oral presentations, demonstrating ability to communicate complex quantum physics concepts. Received Physics Department scholarship recognition for outstanding research contributions and academic excellence.
Current Research & Publication Pipeline
Contributing to Current Applied Physics publication on CVD grown material interactions and spectroscopic characterization. Actively participate in government-funded research projects, developing improved experimental protocols and contributing to systematic understanding of 2D material interfaces. This ongoing work extends previous research into deeper aspects of quantum material physics.
AI Research & Computer Vision
Award-winning AI research with practical applications and patent development”
Mobile Computing & Pattern Recognition Research
Published novel distracted walking detection system in Sensors journal using smartphone IMU sensors with personalized emotion-aware modeling. Developed sophisticated signal processing algorithms for real-time pattern extraction and created machine learning models optimized for mobile devices. This work bridges AI theory with practical safety applications deployable in consumer devices.
IMU Sensor Analysis & Walking Pattern Classification
Conducted comprehensive research on IMU sensor data analysis, investigating inter-sensor relationships and feature correlations for walking behavior classification. Developed feature extraction methodologies to identify characteristic patterns during walking activities. Applied ensemble techniques and K-fold validation to verify data reliability across multiple models, ultimately creating classification systems to distinguish between walking and non-walking states using IMU sensor data. This research resulted in patent application filing for walking pattern classification technology.
Sensor Data Analysis & ML Research
Conducted research on sensor performance optimization using CNN techniques and PELT algorithms for feature extraction from humidity and temperature sensor data. Developed classification models through systematic data analysis and implemented K-fold validation protocols for robust performance evaluation. Presented findings at SMART WATER GRID International Conference and received recognition at convergence knowledge society conference for emotion recognition research, gaining valuable experience in applying machine learning to sensor data analysis.
CNN-Based Sensor Optimization & Data Processing
Completed computer engineering thesis on 'Sensor Performance Optimization Using CNN and K-Fold Validation' focusing on sensor optimization and deep learning analysis based on humidity variations. Implemented CNN algorithms and PELT techniques for feature extraction from environmental sensor data, developed comprehensive data preprocessing methodologies for accurate data extraction and processing workflows. Conducted extensive model fine-tuning to optimize performance, applying various hyperparameter optimization techniques and validation protocols to achieve robust sensor data classification systems.
Academic Conference Research Competition
Conducted diverse AI research across multiple academic conferences, including stacking ensemble machine learning for breast cancer diagnosis using fine needle aspiration cytology data. Developed advanced feature extraction methodologies for medical imaging data and implemented comprehensive preprocessing pipelines for clinical dataset optimization. Additionally contributed to emotion recognition research using artificial intelligence for reliability improvement, presented at convergence knowledge society conferences. These experiences provided valuable exposure to various AI applications and research methodologies.
Industrial Research Applications
Real-world system development with measurable business impact and technical leadership
Full-Stack System Architecture & DevOps
Led complete system architecture transition from Firebase to Spring Boot + PostgreSQL infrastructure for cost optimization and performance improvement. Designed and implemented progressive data migration strategies ensuring zero downtime, developed WebSocket-based real-time processing systems, and established comprehensive CI/CD pipelines with semantic versioning. Built complete Linux server infrastructure from ground up including security configurations, monitoring systems, and automated deployment processes.
YOLO-Based Computer Vision System Development
Developed and optimized YOLOv5-based license plate recognition system achieving 7% performance improvement through systematic data collection, labeling protocols, and iterative training methodologies. Implemented comprehensive data preprocessing pipelines across 6 regional datasets and applied advanced training techniques including data augmentation and cross-validation. The system processes thousands of vehicles daily for nationwide emission control enforcement, demonstrating ability to scale research algorithms to production-level applications.
Critical System Recovery & Problem Solving
Successfully recovered complete Flutter application codebase from total loss situation, demonstrating exceptional technical problem-solving under pressure. Reconstructed application from backup versions, resolved 60+ third-party package dependency conflicts, and implemented comprehensive testing protocols to verify functionality restoration. Established robust backup procedures and improved deployment automation to prevent future occurrences, ensuring business continuity with zero service downtime.
IoT Integration & Automated Management Systems
Developed comprehensive digital signage management system featuring 2x2 grid advertisement displays with dynamic content allocation algorithms. Implemented field-based optimization for four-slot arrangements, created network failure resilience through local caching mechanisms, and established kiosk mode operations for continuous functionality. Integrated React frontend, Spring Boot backend, and Flutter mobile applications for complete end-to-end solution delivery.