Mr. Md. Bahar Ullah | Material | Best Researcher Award
Mr. Md. Bahar Ullah, University of Chittagong, Bangladesh
Mr. Md. Bahar Ullah is an accomplished Electrical & Electronic Engineering graduate from the University of Chittagong, Bangladesh, with an impressive CGPA of 3.48 in MS Engineering and 3.38 in B.Sc Engineering. As a Research Assistant at Bangladesh Atomic Energy Center, he delved into diverse fields, exemplified by his published research on Fe-doped perovskite and a CPU-based YOLO algorithm for real-time object detection. With expertise in Python, C, and various software tools, Bahar is a versatile professional. His proficiency extends to video content creation, boasting a popular educational YouTube channel with 140K subscribers. Adept in communication and possessing a wide range of skills, Bahar Ullah is a dynamic individual ready to take on challenges with courage and intellect, whether in Bangladesh or abroad. šš¬šš„ļø
š Education:
MS in Engineering (Electrical & Electronic Engineering [EEE]). University of Chittagong, 2021. CGPA: 3.48/4.00. B.Sc in Engineering (EEE). University of Chittagong, 2019. CGPA: 3.38/4.00.
šØāš¼ Experience:
Research Assistant at Bangladesh Atomic Energy Center, Dhaka. Video Content Creator at EdulectureBd (Educational Youtube Channel).
š Publication/Research:
Published in Ceramics International: “Structural, thermal, optical, magnetic, and electrical properties of Fe doped Ba0.77Ca0.23TiO3 perovskite.” Published in 2020 IEEE Region 10 Symposium (TENSYMP): “CPU Based YOLO: A Real-Time Object Detection Algorithm.”
š ļø Skills:
Computer Skills: MS Office, Adobe Photoshop. Other Softwares: Origin, Camtasia, PSpice, Proteus. Programming Languages: Python, C, HTML, CSS, Matlab.
Professional Profiles:
The impact of her research is evident in citation metrics and indices from Google Scholar:
- Cited by: All ā 30.
- Citations ā 30.
- h-index ā 1.
- Documents ā 2.
A prolific researcher making meaningful contributions to the academic world!
Research Focus š§Ŗš:
Mr. Md. Bahar Ullah, a dedicated researcher from the University of Chittagong, specializes in two key areas. His first focus revolves around the intricate study of materials, particularly in investigating the “Structural, thermal, optical, magnetic, and electrical properties of Fe doped Ba0.77Ca0.23TiO3 perovskite.” This showcases his expertise in exploring the multifaceted characteristics of materials at a microscopic level. In addition, Bahar Ullah has delved into the realm of artificial intelligence with a particular emphasis on real-time applications. His research extends to the development of “CPU Based YOLO: A Real-Time Object Detection Algorithm,” demonstrating a keen interest in advancing technology for practical and immediate applications in the field of computer vision.š¤š”