Articulated Research Institute for Scientific Excellence

Where Ideas Meet Innovation, Shaping Tomorrow’s World for a Better Future.

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What We Do

We drive groundbreaking research in AI and emerging technologies, aiming to solve real-world challenges. Our focus is on fostering innovation, advancing knowledge, and guiding the next generation of researchers.

Pioneering Research

We lead cutting-edge research in AI, machine learning, and emerging technologies, striving to push the boundaries of knowledge and solve complex global challenges.

Driving Innovation

We collaborate with industry leaders and academia to transform research into real-world applications, creating ethical and impactful technological solutions.

Empowering Education

We nurture the next generation of innovators and researchers through mentorship, training, and knowledge-sharing initiatives to advance AI and technology.

Our Research Areas

Explore our cutting-edge research domains where we’re pushing the boundaries of AI and technology.

Computer Vision

Developing advanced visual recognition systems for image analysis, object detection, and scene understanding.
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Natural Language Processing

Advancing techniques to enable machines to understand, interpret, and generate human language.
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Healthcare AI

Leveraging machine learning to improve medical diagnosis, treatment planning, and patient care outcomes.
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Explainable AI (XAI)

Creating AI systems that provide transparent, understandable, and interpretable outputs to enhance trust and usability.
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Generative AI

Designing AI models capable of generating new content, such as images, text, and audio, based on learned data patterns.
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Time Series Analysis

Developing advanced methods to analyze temporal data patterns, forecast future trends, and extract insights from sequential information across domains.
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Latest Publications

Our latest research contributions to the scientific community

Published
Conference

An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection

  • Shuvashis Sarker, Shamim Rahim Refat, Faika Fairuj Preotee, Shifat Islam, Tashreef Muhammad, Mohammad Ashraful Hoque
  • 2024 27th International Conference on Computer and Information Technology (ICCIT)
  • IEEE
Publisher
Details
Published
Conference

An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI

  • Faika Fairuj Preotee, Shuvashis Sarker, Shamim Rahim Refat, Tashreef Muhammad, Shifat Islam
  • 2024 27th International Conference on Computer and Information Technology (ICCIT)
  • IEEE
Publisher
Details
Published
Conference

Advanced CNN and Explainable AI Based Architecture for Interpretable Brain MRI Analysis

  • Shuvashis Sarker Shuvo, Shamim Rahim Refat, Faika Fairuj Preotee, Tashreef Muhammad
  • ICCA '24: Proceedings of the 3rd International Conference on Computing Advancements
  • IEEE
Publisher
Details
Preprint
Journal
  • 2026

BIDWESH: A Bangla Regional Hate speech Detection Dataset and it’s Benchmark Evaluation

  • Azizul Hakim Fayaz, MD. Shorif Uddin, Rayhan Uddin Bhuiyan, Zakia Sultana, Md. Samiul Islam, Bidyarthi Paul, Tashreef Muhammad, Shahriar Manzoor
Details
Preprint
Journal
  • 2025

ANCHOLIK-NER: A Benchmark Dataset for Bangla Regional Named Entity Recognition

  • Bidyarthi Paul, Faika Fairuj Preotee, Shuvashis Sarker, Shamim Rahim Refat, Shifat Islam, Tashreef Muhammad, Mohammad Ashraful Hoque, Shahriar Manzoor
Publisher
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Featured Projects

Discover our latest research projects that are making a real impact in the world.

Ongoing

Matrivasha: An Exploratory Effort Towards Building Multilingual Resources for Underrepresented Languages in Bangladesh

Bangladesh is home to a diverse range of regional languages, many of which remain underrepresented in digital resources and Natural Language Processing (NLP) research…
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Ongoing

Matrivasha-Tribe: A Multilingual Corpus for Indigenous Languages of Bangladesh

Indigenous and tribal languages form an integral part of Bangladesh’s cultural identity, yet many of them face the risk of extinction due to limited documentation and declining intergenerational transmission…
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Completed

REG-NER: A Benchmark Dataset for Bangla Regional Named Entity Recognition

Named Entity Recognition (NER) in Bangla has seen considerable progress, yet existing resources remain limited to Standard Bangla and fail to capture the linguistic diversity of regional dialects…
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Meet Our Team

Meet the brilliant minds driving innovation at ARISE.

Mohammad Ashraful Hoque

Director

ashraful@seu.edu.bd

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Tashreef Muhammad

Deputy Director

tashreef.muhammad@gmail.com

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Shifat Islam

Deputy Director

shifat.islam.buet@gmail.com

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