Abdus-Sattar-Deep Learning for Computer Vision-Best Researcher Award

Mr. Abdus-Sattar-Deep Learning for Computer Vision-Best Researcher Award

Daffodil International University-Bangladesh

Author Profile

Early Academic Pursuits

Mr. Abdus Sattar began his academic journey with a strong foundation in computer science and engineering. He completed his Secondary School Certificate (SSC) from Gouripur S A High School in 1998 with distinction, securing a First Division. His dedication to academics continued as he pursued a Diploma in Computer Engineering (CSE) at Ahsanullah University of Science and Technology (AUST), Bangladesh, graduating with First Division honors in 2002.

Moving forward, Abdus Sattar pursued a Bachelor of Computer Science and Engineering (CSE) at AUST, where he demonstrated outstanding academic prowess, achieving a remarkable result of 3.46 out of 4. This laid the groundwork for his subsequent academic and professional endeavors.

Professional Endeavors

Mr. Abdus Sattar's professional journey is marked by diverse experiences and notable achievements. Following his undergraduate studies, he delved into the industry, gaining practical experience as a System Programmer at VIVID Technologies Ltd. in Dhaka, Bangladesh, and Very Important Relationships (VIR), Inc., a USA-based company. His exposure to the software industry in a USA-based company enriched his understanding of global technology trends.

Eager to expand his horizons, Sattar embarked on a Master's program abroad. He completed his Masters of Science in Interactive System Engineering (ISE) from KTH, Royal Institute of Technology, Stockholm, Sweden, in 2012. This international exposure broadened his perspective and laid the foundation for his future research and academic pursuits.

Subsequently, he worked as a Research Assistant at the prestigious Karolinska Institute in Stockholm, Sweden, contributing to Karolinsha Science Innovation. This stint honed his research skills and provided valuable insights into cutting-edge scientific advancements.

Contributions and Research Focus On Deep Learning for Computer Vision

Mr. Abdus Sattar's commitment to academia and research is evident through his teaching philosophy and dedication to Application Oriented Learning. With a focus on real-life example-oriented explanations, peer-to-peer learning, and a flipped classroom approach, he aims to equip his students with essential knowledge and practical tools applicable to their future careers.

His professional experiences include serving as an Assistant Professor and Coordinator of the MSc program at Daffodil International University, where he has been actively involved since September 2017. Notably, he has published 60 research papers in international conferences and journals, showcasing his research prowess.

Sattar's current pursuit of a Doctor of Philosophy (PhD) at Bangladesh University of Professionals (BUP) in Machine Learning and Computer Vision underscores his commitment to advancing the frontiers of knowledge.

Accolades and Recognition

Mr. Abdus Sattar's contributions have not gone unnoticed, with recognition in various academic and professional circles. His teaching philosophy, research output, and leadership roles have earned him accolades, contributing to the academic reputation of the institutions he has been associated with.

Impact and Influence

As a Research Director in DIU NLP & ML Research Lab, Sattar plays a pivotal role in shaping the research landscape at Daffodil International University. His influence extends beyond the classroom, contributing to the broader academic community through publications and leadership roles.

Legacy and Future Contributions

Mr. Abdus Sattar's legacy lies in his multifaceted contributions to academia, research, and industry. As he progresses in his ongoing PhD program and continues to lead in his role as Assistant Professor and Coordinator, his impact on the next generation of computer scientists and engineers is set to endure. His future contributions are anticipated to further enrich the fields of Machine Learning and Computer Vision, leaving an indelible mark on the academic and research communities.

Notable Publication