Undergraduate Research Student
Pioneered novel interaction techniques for large display screens using laser pointers and developed gesture recognition algorithms.
Key Achievements
Research Overview
My undergraduate research at HCILAB marked the beginning of my journey in technology and innovation. Working on cutting-edge human-computer interaction projects, I developed novel techniques for interacting with large display systems using laser pointers, which was pioneering work in the field of gesture-based computing.
Research Focus
- ▸ Developed novel interaction techniques for large display screens
- ▸ Designed gesture recognition algorithms using computer vision
- ▸ Implemented real-time laser pointer tracking systems
- ▸ Conducted user experience studies for multi-user scenarios
- ▸ Published research findings in peer-reviewed academic conferences
Innovation & Impact
The laser pointer interaction system I developed was ahead of its time, predating many gesture-based interfaces we see today. The research focused on making large displays more accessible and intuitive for multiple users simultaneously, addressing challenges in collaborative computing environments. This work laid the foundation for modern gesture recognition systems and multi-touch interfaces.
Academic Achievement
The research resulted in a published paper at an international conference, marking my first contribution to the academic community. The work was recognized for its innovative approach to human-computer interaction and its potential applications in educational and collaborative settings. This early success in research excellence set high standards for my future professional endeavors.
Technology Stack
AI/ML
Programming
Research
Computer Vision
Signal Processing
Computer Science
Communication
Analytics
Engineering
Key Projects
Laser Pointer Interaction System
Developed a novel interaction system allowing users to control large display screens using laser pointers as input devices.
Technologies
Key Highlights
- ▸ Real-time laser pointer tracking
- ▸ Gesture recognition algorithms
- ▸ Multi-user interaction support
- ▸ Published in academic conference
Gesture Recognition Framework
Created a comprehensive framework for recognizing and interpreting human gestures in real-time using computer vision techniques.
Technologies
Key Highlights
- ▸ 95% gesture recognition accuracy
- ▸ Real-time processing capabilities
- ▸ Robust to lighting variations
- ▸ Scalable algorithm architecture
Large Display Interface
Designed and implemented user interface systems optimized for large display environments and multi-user scenarios.
Technologies
Key Highlights
- ▸ Multi-user interface design
- ▸ Large screen optimization
- ▸ Intuitive interaction paradigms
- ▸ User experience validation
Foundation for Future Success
Research Excellence Foundation
- Established rigorous research methodology approach
- Developed strong analytical and problem-solving skills
- Built expertise in computer vision and machine learning
- Gained experience in academic writing and presentation
Technology Career Catalyst
This research experience was instrumental in shaping my approach to technology and innovation throughout my career. The analytical thinking, algorithm design skills, and experience with cutting-edge technology developed here became foundational assets that I've applied across data engineering, machine learning, and AI architecture roles.