SM Solayman Hossen Rokib
Master’s Student focusing on Machine Learning & AI
Email: rokib@std.uestc.edu.cn
Phone: +8613257001482
I am a master’s student at the University of Electronic Science and Technology of China specializing in Information and Communication Engineering with a focus on Machine Learning and AI, and my research areas include object detection, visual reasoning, and neuro vector symbolic architectures. I am currently pursuing a Master of Engineering (Sep. 2023 - Jul. 2026) at UESTC and hold a Bachelor of Engineering from Yunnan University (Sep. 2019 - Jul. 2023) with a strong academic record. In addition, I have gained valuable experience as a SICE Office Assistant at both the Teaching Affairs Office and the International Students Affairs Office at UESTC during various periods from 2023 to till now. My projects include an IoT-based Smart Irrigation System, online management systems for shopping and libraries, a wide area network design, a GIS-based StoryMap of China’s subways, an airport management system, and a pet website. I am also proficient in Bangla (native), English (fluent working proficiency), and possess basic knowledge of Mandarin Chinese.
Undergraduate Thesis: Style Transformation with Generative Adversarial Network
Conducted research on the application of Generative Adversarial Networks (GANs) for style transformation in images.
Experimented with various GAN architectures and evaluated their performance on different datasets.
Research on Object Detection and Visual Reasoning Tasks (Sep. 2023 - Present)
University of Electronic Science and Technology of China, Chengdu, Sichuan
• Working on improving algorithms and models for object detection.
• Developing and evaluating methods for visual reasoning tasks.
Won Undergraduate University Scholarship (Yunnan University)
Won TAETEA Outstanding International Student Scholarship
International Conference on Ubiquitous Communication, Xi’an, 2024
International Student Guest
Presented ongoing research summary on “AU Detection Using HRNet-Transformer Multi-model” at the International Student Workshop. Participated in sessions focused on advancements in ubiquitous communication technologies.
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