About Me
I’m Balveer Singh (UGC-NET qualified), a research scholar at the School of Artificial Intelligence and Data Engineering (SAIDE), IIT Ropar. My research focuses on combining AI, Computer Vision, and Robotics to develop practical solutions for agriculture and environment perception.
My master’s thesis, “YDM-SLAM,” enhanced ORB-SLAM3 by integrating YOLOv8, achieving a 78% improvement in dynamic mapping efficiency. I also interned at IIT Bombay, where I worked on machine learning-powered tools for digitizing Indian languages.
With a background in mechatronics, embedded systems, and real-time perception, I aspire to develop intelligent robotic systems that make a real-world impact.
Projects
I have experience of working with both software and hardware projects.
Work Experience
Interned under Prof. Ganesh Ramakrishnan on project UDAAN (digitization and translation of Indian Literature).
- Taught fundamentals of Internet of Things to juniors
- Supervised 22 students for building 7 IOT projects
Education
IIT Ropar, Rupnagar
My research interest lies at the intersection of AI, Computer Vision, and Robotics, with a focus on solving real-world problems in agriculture and environment perception.
Chandigarh University, Mohali
Actively working on Simultaneous Localization and Mapping, a problem of Robotics perception.
BBSBEC, Fatehgarh Sahib
Learned many technical skills and overcame my fear of public speaking.
NSPS, Fatehgarh Jattan
Non-Medical (Physics, Chemistry, Mathematics)
NSPS, Fatehgarh Jattan
Achieved Top Marks (96%) in Mathematics
Publications
ICSCSS Conference hosted by HICET, Tamil Nadu
ICDSNS Conference hosted by KIT Tiptur, Tamil Nadu
International Journal of Current Microbiology and Applied Sciences (IJCMAS)
The paper discusses a self-guided serving robot using ATmega328, IR and ultrasonic sensors, and encoders for delivering food, medicines, and beverages, enhancing hygiene and efficiency in various sectors.
Letter of Recommendation and Certificates
FAQ
Balveer Singh is a recent graduate with a Master of Engineering in Artificial Intelligence and Machine Learning, specializing in Visual SLAM and Computer Vision. I have published research in IEEE conferences and have hands-on experience with both academic research and practical projects in AI, robotics, and web development.
My skills include advanced proficiency in Python and C++, with strong expertise in OpenCV, Pandas, and ROS. I have experience in image processing, machine learning, and SLAM algorithms. Additionally, I’m skilled in web development using Django and have a solid foundation in mechatronics, IoT, and sensor integration.
I’ve worked on a variety of projects, including YDM-SLAM, a YOLOv8-powered dynamic mapping system integrated with ORB-SLAM3 for autonomous navigation. I’ve contributed to a national-level project at IIT Bombay focused on digitizing Indian literature, where I developed web applications using Django and OCR technology. During my undergraduate studies, I worked on multiple mechatronics and IoT projects, such as an Aqua Serving Robot and other sensor-based systems.