University
of Asia Pacific Department of CSE Students Selected for Prestigious Nippon AI
Dojo Program
The University of Asia Pacific
(UAP) proudly announces that ten talented students and young researchers from
the Department of Computer Science and Engineering (CSE) have been selected for
the prestigious Nippon AI Dojo Program, an international Artificial
Intelligence training initiative jointly organized by Chowa Giken Corporation
and AI Samurai Co Ltd with support from the Ministry of Economy, Trade and
Industry, Japan.
The selected participants from
the Department of CSE, University of Asia Pacific are Arannamoy Mondal, Asif
Iqbal, Lubaba Hasan, Maisha Noor, Md Noushad Jahan Ramim, Md. Sajjad Ullah, Md.
Shohanur Rahman, Mohotasir Al Mamun, Mumtaheena Ahmed, and Shahriar Arfin.
The program represents a
significant milestone in Bangladesh–Japan technological collaboration and aims
to develop globally competitive AI engineers through hands-on,
industry-oriented training. Following a rigorous screening process involving
300 applications and an offline assessment, the selected participants will join
an intensive training and research program running from June 2026 to September
2026.
Under the collaboration, Chowa Giken Corporation is providing internship opportunities, expert mentorship, research collaboration, and funding support. The initiative aims to strengthen Bangladesh’s capacity to produce industry-ready AI professionals while enhancing the country’s position as an emerging hub for advanced technology talent. The success of this initiative is expected to pave the way for broader future collaborations, allowing more Bangladeshi graduates to participate in Japan’s AI ecosystem and supporting Bangladesh’s transition toward a knowledge-based economy.
The initiative also contributes to the advancement of several United Nations
Sustainable Development Goals (SDGs), including SDG 4 (Quality Education), SDG
8 (Decent Work and Economic Growth), SDG 9 (Industry, Innovation and
Infrastructure), and SDG 17 (Partnerships for the Goals).
Details of the Selected Participants from the Department of CSE, University of Asia Pacific are:
Asif Iqbal is a passionate Full Stack Developer and Computer Science and Engineering student at UAP with expertise in React, Django, PostgreSQL, and AI-driven systems. A multi-time Vice Chancellor’s Award recipient, he has maintained a strong academic record while actively participating in software projects, SaaS development, and competitive mathematics. His interests lie in building scalable digital platforms that combine software engineering with intelligent AI technologies. Through the Nippon AI Dojo Program, Asif hopes to gain advanced industry experience, improve his collaborative development skills, and contribute to innovative AI-powered software solutions in an international environment.
Lubaba Hasan is a final-year CSE student at UAP with strong interests in full-stack development and competitive programming. She has developed projects including ASLoj, a Docker-based online judge system, and also contributed to the UAP CSE official website. Currently serving as Executive Vice President of the UAP Programming Contest Club, she actively mentors students and helps organize programming activities. Lubaba is a two-time recipient of the ICPC–Jamilur Reza Chowdhury Scholarship and has earned several achievements, including the Best All-Girls Team Award at the First Intra-University UAP Research Expo and 7th place in the National Data Analytics Competition 2025.
Maisha Noor is a Computer Science and Engineering student at UAP and currently serves as Vice President of the Research and Publication Unit. Her interests include Artificial Intelligence, Deep Learning, NLP, Federated Learning, and Explainable AI systems. She has contributed to multiple research projects and ongoing publications related to communication-efficient AI systems and biomedical applications. Alongside research, she has experience in Python, Django, HTML, and CSS-based web development. Maisha’s team earned the Best All-Girls Team Award at the First Inter-University Research Expo. She is excited to gain international research exposure and collaborate on impactful AI solutions through Nippon AI Dojo.
Md Noushad Jahan Ramim is a final-year undergraduate student in Computer Science and Engineering at UAP with interests in Natural Language Processing, Large Language Models, Deep Learning, and Computer Vision. His research particularly focuses on low-resource Bangla language technologies and intelligent visual systems. He has published a research paper as lead author in Elsevier’s Data in Brief and is currently working on projects involving Bangla instruction tuning, hate speech detection, spice classification, and deepfake face detection. Ramim also contributes to the open-source AI community through Hugging Face and founded Hackathon Valley to support student innovation and collaboration in Bangladesh.
Md. Sajjad Ullah is a fourth-year
CSE student passionate about Artificial Intelligence, Deep Learning, and
Full-Stack Development. His research interests include Explainable AI, Medical
Imaging, Federated Learning, and fairness-aware AI systems. He actively
contributes datasets and AI models to Kaggle and Hugging Face and has developed
AI-powered dashboards, NLP chatbots, and Django-based applications. Sajjad also
holds Google certifications in UX Design and Generative AI and completed
professional simulations with Deloitte and Walmart Global Tech through Forage.
Through Nippon AI Dojo, he aims to strengthen his research collaboration skills
and gain hands-on industrial AI experience.
Md. Shohanur Rahman is a recent Computer Science and Engineering graduate from UAP with interests in Machine Learning, Computer Vision, Natural Language Processing, and backend development. He developed a Bangla Text-to-Speech system featuring multiple voices and also published a Python library on PyPI for Bangla text normalization. He is currently involved in AI and Computer Vision research projects and has contributed to several NLP-related research works. Shohanur was also active in the university robotics club and volunteered as a technology volunteer at the ICPC World Finals 2022. Through Nippon AI Dojo, he hopes to further strengthen his technical and research expertise.
Mohotasir Al Mamun is a CSE
student at UAP and an AI research enthusiast specializing in Machine Learning,
Generative AI, Large Language Models, and RAG systems. His projects include a
scholarly RAG system, computationally efficient video retrieval technologies,
and an IoT-based smart pet feeder called Pawmigo. Alongside AI research, he
also has strong experience in full-stack software development and scalable web
applications. Mohotasir is passionate about combining intelligent systems with
practical software solutions that solve real-world challenges. He believes
Nippon AI Dojo will provide valuable industrial exposure and opportunities to
collaborate with experienced AI professionals from Japan.
Mumtaheena Ahmed is a Machine Learning researcher and Teaching Assistant in the Department of Computer Science at UAP. Her research focuses on Computer Vision and Natural Language Processing, with work spanning computational pathology, textile defect detection, and NLP-based review analysis systems. She has also developed Machine Learning solutions for restaurant review categorization and fake review detection for food safety applications. Beyond research, she has demonstrated strong dedication to Japanese language and culture by successfully passing the JLPT N4 examination with an outstanding score of 173 out of 180. Through Nippon AI Dojo, she aims to strengthen her industrial AI experience and contribute to meaningful international collaboration.
Shahriar Arfin is a final-year
Computer Science and Engineering student and Junior AI Engineer with interests
in Large Language Models, Retrieval-Augmented Generation, Computer Vision, and
Multimodal AI systems. He previously worked remotely as a Data Analyst at
Informed Netizens, USA, where he contributed to data visualization and web
application development. His projects include a multilingual GraphRAG system,
multimodal video retrieval platform, and IoT-based smart pet feeder. Shahriar
has earned multiple Vice Chancellor’s and Dean’s Awards alongside several
hackathon achievements. Passionate about practical AI innovation, he looks
forward to learning from Japanese industry experts and expanding his experience
in advanced AI engineering.
Department of Computer Science & Engineering
University of Asia Pacific
Generated on May 21, 2026 at 06:59 AM