Published in IEEE ICPCSI, 2017
A neural network-based design for a gesture-controlled robotic gripper arm.
Recommended citation: Sushmit, A., Haque, F. M., Shahriar, M., …, Sarkar, M. R. (2017). "Design of a gesture controlled robotic gripper arm using neural networks." IEEE ICPCSI.
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Published in IEEE ICECDS, 2017
A neural network-driven voice controlled robotic gripper arm design.
Recommended citation: Haque, F. M., Sushmit, A., Sarkar, M. R. (2017). "Design of a voice controlled robotic gripper arm using neural networks." IEEE ICECDS.
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Published in IEEE ICASSP, 2019
A deep learning pipeline for lung tumor detection and segmentation using dilated convolutional neural networks on CT scans.
Recommended citation: Hossain, S., Najeeb, S., Sushmit, A. S., … (2019). "A pipeline for lung tumor detection and segmentation from CT scans using dilated convolutional neural networks." IEEE ICASSP.
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Published in IEEE EMBS BHI, 2020
Deep residual convolutional networks for end-to-end sleep staging using raw single-channel EEG.
Recommended citation: Humayun, A. I., Sushmit, A., Hasan, T., Bhuiyan, M. I. H., … (2020). "End-to-end sleep staging with raw single channel EEG using deep residual convnets." IEEE EMBS BHI.
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Published in arXiv, 2020
A large multi-target Bengali handwritten grapheme dataset for low-resource OCR and handwriting recognition research.
Recommended citation: Alam, S., Reasat, T., Sushmit, A., … (2020). "A Large Multi-Target Dataset of Common Bengali Handwritten Graphemes." arXiv.
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Published in CVPR Workshop, 2020
A segmentation dataset for activity detection using wearable camera footage.
Recommended citation: Sushmit, A., Ghosh, P., Istiak, M. A., Rashid, N., Akash, A. H., Hasan, T. (2020). "Segcodenet: Color-coded segmentation masks for activity detection from wearable cameras." CVPR Workshop.
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Published in ECCV Workshop, 2020
Activity classification in office videos with explicit privacy-aware design.
Recommended citation: Ghosh, P., Istiak, M. A., Rashid, N., Akash, A. H., …, Sushmit, A., Hasan, T. (2020). "Privacy-aware activity classification from first person office videos." ECCV Workshop.
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Published in arXiv, 2020
A dataset and competition challenge for multi-label classification of Bengali handwritten graphemes.
Recommended citation: Alam, S., Reasat, T., Sushmit, A., … (2020). "Multi-label classification of common Bengali handwritten graphemes: Dataset and challenge." arXiv.
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Published in SemEval, 2022
A SemEval team paper on Bangla named entity recognition using augmentation and model ensembles.
Recommended citation: Tasnim, N., Shihab, M. I., Sushmit, A., Bethard, S., Sadeque, F. (2022). "TEAM-Atreides at SemEval-2022 Task 11: On leveraging data augmentation and ensemble to recognize complex Named Entities in Bangla." SemEval.
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Published in arXiv, 2022
A large Bengali Common Voice speech dataset for automatic speech recognition research.
Recommended citation: Alam, S., Sushmit, A., Abdullah, Z., … (2022). "Bengali Common Voice speech dataset for automatic speech recognition." arXiv.
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Published in Journal of X-Ray Science and Technology, 2022
A method for grading motion artifacts in cardiac CT using synthetic image augmentation and vessel tracking.
Recommended citation: Xu, Y., Sushmit, A., Lyu, Q., …, Yu, H. (2022). "Cardiac CT motion artifact grading via semi-automatic labeling and vessel tracking using synthetic image-augmented training data." Journal of X-Ray Science and Technology.
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Published in Open Source, 2022
An open-source multi-domain OCR pipeline tailored for Bengali documents.
Recommended citation: Zulkarnain, I. M., Islam, S. B., …, Sushmit, A. (2022). "bbocr: An open-source multi-domain OCR pipeline for Bengali documents." Open Source.
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Published in HCI, 2023
An open-source crowdsourcing platform to collect sign language data for dialect-agnostic AI communication.
Recommended citation: Dhruvo, S. E., Rahman, M. A., …, Sushmit, A. (2023). "Bornil: An open-source sign language data crowdsourcing platform for AI enabled dialect-agnostic communication." HCI.
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Published in Interspeech, 2023
A Bengali speech recognition dataset designed for out-of-distribution benchmarking.
Recommended citation: Dip, S. S., Alam, S., Tasnim, N., …, Sushmit, A. (2023). "OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking." Interspeech.
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Published in ICDAR, 2023
A large multi-domain Bengali document layout analysis dataset for OCR and document understanding.
Recommended citation: Hossain Shihab, M. I., Hasan, M. R., …, Sushmit, A. (2023). "Badlad: A large multi-domain Bengali document layout analysis dataset." ICDAR.
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Published in IEEE EMBS BHI, 2023
A convolutional recurrent neural network approach for medical X-ray image compression.
Recommended citation: Sushmit, A., Zaman, S. U., Humayun, A. I., Hasan, T., Bhuiyan, M. I. H., … (2023). "X-ray image compression using convolutional recurrent neural networks." IEEE EMBS BHI.
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Published in IEEE EMBS BHI, 2023
A convolutional recurrent neural network approach for X-ray image compression.
Recommended citation: Sushmit, A., Zaman, S. U., Humayun, A. I., Hasan, T., Bhuiyan, M. I. H., … (2023). "X-ray image compression using convolutional recurrent neural networks." IEEE EMBS BHI.
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Published in LREC-COLING, 2023
Unicode normalization and grapheme parsing techniques for Indic languages.
Recommended citation: Ansary, M. N., Adib, Q. A. R., …, Sushmit, A. (2023). "Unicode normalization and grapheme parsing of Indic languages." LREC-COLING.
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Published in ACL, 2023
A framework to construct a Bangla sectarian expression dataset from social media interactions.
Recommended citation: Tasnim, N., Gupta, S. S., …, Sushmit, A. (2023). "Mapping violence: Developing an extensive framework to build a Bangla sectarian expression dataset from social media interactions." ACL.
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Published in MICCAI Workshop, 2024
Active sampling for data-efficient contrastive learning in histopathology.
Recommended citation: Reasat, T., Sushmit, A., Smith, D. S. (2024). "Data efficient contrastive learning in histopathology using active sampling." MICCAI Workshop.
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Published in ACL Workshop, 2024
The first Santali-to-English translation model built with mT5 and data augmentation.
Recommended citation: Billah, S. M. M., Subarna, A. A., …, Sushmit, A. (2024). "Towards Santali linguistic inclusion: Building the first Santali-to-English translation model using mT5 Transformer and data augmentation." ACL Workshop.
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Published in Speech and Language, 2024
IPA transcription tools and evaluation for Bengali text data.
Recommended citation: Fatema, K., Haider, F. D., …, Sushmit, A. (2024). "IPA transcription of Bengali texts." Speech and Language.
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Published in Medical Imaging, 2024
A data generation pipeline for cardiac vessel segmentation and motion artifact grading.
Recommended citation: Sushmit, A., Xu, Y., Mariani, O., …, Yu, H. (2024). "A data generation pipeline for cardiac vessel segmentation and motion artifact grading." Medical Imaging.
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Published in Linguistics, 2024
A regional corpus of Bengali spontaneous speech collected across dialects.
Recommended citation: Hassan, M. R., Hossain, A., …, Sushmit, A. (2024). "RegSpeech12: A regional corpus of Bengali spontaneous speech across dialects." Linguistics.
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Published in ICDAR, 2024
A large multi-target Bengali handwritten grapheme dataset for low-resource OCR and script recognition research.
Recommended citation: Alam, S., Reasat, T., Sushmit, A., … (2024). "A Large Multi-Target Dataset of Common Bengali Handwritten Graphemes." ICDAR.
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Published in Software/Toolkit, 2025
An Abugida normalizer and parser for Unicode texts across Indic scripts.
Recommended citation: Ansary, M. N., Adib, Q. A. R., …, Sushmit, A. (2025). "Abugida normalizer and parser for Unicode texts." Software/Toolkit.
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Published in Document Analysis, 2025
A multi-class annotated dataset for complex Bangla document layout analysis.
Recommended citation: Hossain, M. S., Ferdous, J., …, Sushmit, A. (2025). "BanglaDocAtlas: A Multi-Class Annotated Dataset for Complex Bangla Document Layout Analysis." Document Analysis.
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Champion in the National Robotics Competition 2017 for a machine learning solution.
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Champion of the National Power Energy Hackathon 2017 (‘BUET Luminaries’) for a smart grid system with SCADA integration.
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Runner-up in the Bangladesh Physics Olympiad.
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Runner-up in the Bangladesh National Science Olympiad.
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A six-day hands-on workshop on image processing and deep learning, teaching practical Matlab workflows and AI methods to university students.
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Public lecture and workshop at BUET on basic Matlab and image processing, introducing practical workflows and techniques for university students.
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Champion at IEEE VIP CUP 2018, presenting at ICIP 2018 in Greece on a 3D CT lung tumor detection and segmentation pipeline.
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Runner-up at IEEE VIP CUP 2019 while coaching the BUET Synapticans and tutoring six undergraduate students on a privacy-aware activity classification system using first-person video.
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Awarded an NVIDIA Titan Xp GPU through the NVIDIA GPU Grant program to support data science research and experimentation.
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Runner-up in the Call for Nation Covid Accelerator competition for RadAssist, Bangladesh’s first AI-assisted teleradiology platform.
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A conference presentation on Bengali language technology history, research challenges, and an inclusive roadmap for regional AI development.
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Guest lecture and course design support for SWE 227 Introduction to Data Science, covering core concepts in data science, model evaluation, and practical applications.
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A public lecture on demystifying artificial intelligence, covering AI ethics, applied machine learning, and implications for policy and society in Bangladesh.
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Launched the national Grammatical Error Detection competition on Kaggle, serving as host, data curator, judge, and providing bias analysis and feedback to top national research teams.
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Awarded Kaggle Best Community Competition Award for organizing the DL Sprint competition on Bengali Automatic Speech Recognition with 59 participating teams.
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Hosted the National ASR Hackathon organized by Bengali.AI and BUET CSE, serving as host, data curator, and judge.
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Selected as a delegate for an ITU-T AI capacity building workshop, engaging regulators and ministry officials on AI ethics, risk governance, and integrating ITU-T recommendations into national digital strategy.
Research Leadership and Mentorship, Bengali.AI, 2020
Coordinated community-driven AI research initiatives, launched large-scale Bengali datasets and competitions, crowdsourced speech and sign language corpora, and mentored emerging researchers on dataset creation, annotation protocols, and reproducible research workflows.
University teaching, Brac University, Department of Computer Science and Engineering, 2021
Taught courses in Artificial Intelligence, Complex Variables & Laplace Transformations, and Numerical Analysis. Supervised research, graded coursework, and provided student consultation and academic support.
Graduate teaching assistantship, Rensselaer Polytechnic Institute, Biomedical Engineering, 2021
Supported undergraduate and graduate teaching activities in biomedical imaging, including lab sessions, grading, academic mentoring, and collaborative research supervision.
Government capacity building, Bangladesh Korea Institute of Information & Communication Technology (BKIICT), Bangladesh Computer Council, 2026
Delivered public-sector capacity building to over 300 government officials on national digital policy, system interoperability, ICT ordinance implementation, and regulatory framework adoption. Designed and delivered a course on Data Analytics and Data-Driven Decision Making covering data collection methodologies, statistical analysis, and real-time visualization. Instructed public-sector professionals on cybersecurity, personal data protection, and digital hygiene to strengthen institutional risk posture. Fostered strategic data literacy by teaching participants to evaluate data source integrity, challenge operational assumptions, and translate evidence into organizational decisions.