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Identificação

Identificação pessoal

Nome completo
Md Tahsir Ahmed Munna

Nomes de citação

  • Tahsir Ahmed Munna

Identificadores de autor

Ciência ID
A917-1B99-6310
ORCID iD
0000-0001-9269-502X
Google Scholar ID
2evrVykAAAAJ&hl
Researcher Id
N-5240-2018
Scopus Author Id
57202903135

Endereços de correio eletrónico

  • tahsir.a.munna@inesctec.pt (Profissional)

Moradas

  • Rua Coronel Macedo Pinto 137, 4430-070, Vila Nova da Gaia, Vila Nova da Gaia, Portugal (Pessoal)

Websites

Domínios de atuação

  • Ciências Exatas - Ciências da Computação e da Informação

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Bengali (Idioma materno)
Inglês Utilizador independente (B2) Utilizador independente (B2) Utilizador independente (B2) Utilizador independente (B2) Utilizador independente (B2)
Português Utilizador elementar (A1) Utilizador elementar (A1) Utilizador elementar (A1) Utilizador elementar (A2)
Formação
Grau Classificação
2024/02/02 - 2027/12/31
Em curso
 Computer Science (Doutoramento)
Especialização em Computer Vision and Nature Language Processing
Universidade do Porto Faculdade de Ciências, Portugal
"Leveraging Large Language Models and Semantic Enhancement for Vision-Language Grounding" (TESE/DISSERTAÇÃO)
2018/09/01 - 2020/06/06
Concluído
 Data Science (Master)
National Research University Higher School of Economics (HSE), Rússia
"COVID19 patients contact tracing and Cross-domain Co-Author Recommendation based on Knowledge Graph Embedding." (TESE/DISSERTAÇÃO)
Percurso profissional

Outros

Categoria Profissional
Instituição de acolhimento 		Empregador
2023/11/01 - Atual PhD Student Researcher Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Universidade do Porto, Portugal
2022/02/01 - 2023/10/31 Researcher Instituto de Telecomunicações, Portugal
Projetos

Bolsa

Designação Financiadores
2023/11/01 - 2025/09/30 Health from Portugal (HfPT)
C630926586-00465198 - projeto de investimento nº 41
Bolseiro de Doutoramento
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
 Plano de Recuperação e Resiliência (PRR)

Governo da República Portuguesa
Em curso
Produções

Publicações

Artigo em conferência
  1. Tahsir Ahmed Munna; Ana Luísa Fernandes; Purificação Silvano; Nuno Guimarães; Alípio Jorge. Autor correspondente: Tahsir Ahmed Munna. "Using LLMs to Generate Patient Journeys in Portuguese: An Experiment". Trabalho apresentado em 47th European Conference on Information Retrieval (ECIR) 2025, Lucca, 2025.
    No prelo
  2. Ana Luísa Fernandes; Purificação Silvano; Nuno Guimarães; Rita Rb-Silva; Tahsir Ahmed Munna; Filipe Cunha; António Leal; Ricardo Campos; Alípio Jorge. Autor correspondente: Ana Luísa Fernandes. "Human Experts vs. Large Language Models: Evaluating Annotation Scheme and Guidelines Development for Clinical Narratives". Trabalho apresentado em 47th European Conference on Information Retrieval (ECIR) 2025, 2025.
    No prelo
  3. Tahsir Ahmed Munna; João Ascenso. "Complexity Scalable Learning-Based Image Decoding". 2023.
    10.1109/icip49359.2023.10222047
  4. Kabir, S.R.; Allayear, S.M.; Alam, M.M.; Munna, M.T.A.. "A computational technique for intelligent computers to learn and identify the human's relative directions". 2018.
    10.1109/ISS1.2017.8389336
Artigo em revista
  1. Munna, M.T.A.; Alam, M.M.; Allayear, S.M.; Sarker, K.; Ara, S.J.F.. "Prediction Model for Prevalence of Type-2 Diabetes Complications with ANN Approach Combining with K-Fold Cross Validation and K-Means Clustering". Advances in Information and Communication. Proceedings of the Future of Information and Communication Conference (FICC). Lecture Notes in Networks and Systems (LNNS 69) (2020): https://publons.com/publon/44881359/.
    10.1007/978-3-030-12388-8_71
  2. Mohiuddin, K.; Alam, M.M.; Das, A.K.; Munna, M.T.A.; Allayear, S.M.; Ali, M.H.. "Haar Cascade Classifier and Lucas-Kanade Optical Flow Based Realtime Object Tracker with Custom Masking Technique". Advances in Information and Communication Networks. Proceedings of the Future of Information and Communication Conference (FICC). Advances in Intelligent Systems and Computing (887) (2019): https://publons.com/publon/28081376/.
    10.1007/978-3-030-03405-4_27
  3. Tahsir Ahmed Munna. "Human face detection in excessive dark image by using contrast stretching, histogram equalization and adaptive equalization". International Journal of Engineering & Technology (2018): https://www.sciencepubco.com/index.php/ijet/article/view/13713/12145.
    10.14419/ijet.v7i4.13713
  4. Munna, M.T.A.; Allayear, S.M.; Alam, M.M.; Rahman, S.S.M.M.; Rahman, M.S.; Mesbahuddin Sarker, M.. "Simplified mapreduce mechanism for large scale data processing". International Journal of Engineering and Technology(UAE) 7 3 (2018): 16-21. http://www.scopus.com/inward/record.url?eid=2-s2.0-85049738858&partnerID=MN8TOARS.
    10.14419/ijet.v7i3.8.15211
  5. S. Rayhan Kabir; Mirza Mohtashim Alam; Shaikh Muhammad Allayear; Md Tahsir Ahmed Munna; Syeda Sumbul Hossain; Sheikh Shah Mohammad Motiur Rahman; Tahsir Ahmed Munna. "Relative Direction: Location Path Providing Method for Allied Intelligent Agent". (2018): https://publons.com/publon/27545430/.
    10.1007/978-981-13-1810-8_38
Capítulo de livro
  1. Tahsir Ahmed Munna; Radhakrishnan Delhibabu. "Cross-Domain Co-Author Recommendation Based on Knowledge Graph Clustering". 782-795. Springer International Publishing, 2021.
    10.1007/978-3-030-73280-6_62
  2. Tahsir Ahmed Munna. "A Sentiment Analysis Based Approach for Understanding the User Satisfaction on Android Application". Singapura, 2020.
    10.1007/978-981-15-1097-7_33
  3. Tahsir Ahmed Munna. "Prediction Model for Prevalence of Type-2 Diabetes Mellitus Complications Using Machine Learning Approach". Canadá, 2020.
    10.1007/978-3-030-32587-9_7
  4. Tahsir Ahmed Munna. "NStackSenti: Evaluation of a Multi-level Approach for Detecting the Sentiment of Users". Singapura, 2019.
    10.1007/978-981-15-1718-1_4
Atividades

Participação em evento

Descrição da atividade
Tipo de evento 		Nome do evento
Instituição / Organização
2025/04/06 - 2025/04/10 The 47th European Conference on Information Retrieval (ECIR) is the annual premier European forum for the presentation of new research results in the broadly conceived area of Information Retrieval. ECIR provides an opportunity for both young and established researchers to present research papers reporting new, unpublished, and innovative research results. ECIR has traditionally had a strong student focus, and papers whose sole or primary author is a postgraduate student or postdoctoral researcher are especially welcome.
Conferência
 47th European Conference on Information Retrieval (ECIR) 2025
Scuola IMT Alti Studi Lucca, Itália
2024/11/09 - 2024/11/09 Sword AI Summit 2024 is an inclusive and purpose-driven artificial intelligence event organized by Sword, designed to democratize access to cutting-edge knowledge and expert networking. For a symbolic fee, it offers participants the opportunity to engage with world-class AI professionals and explore state-of-the-art advancements in the field, fostering both individual and collective growth and innovation.
Congresso
 Sword AI Summit 2024 | Sword Health
Sword Health, Portugal
2024/07/11 - 2024/07/17 LxMLS 2024, a 6-day Machine Learning Summer School, held in person at Instituto Superior Técnico (IST). It covers key machine learning topics, including multimodality, from theory to practice, for solving natural language processing challenges.
Outro
 The 14th Lisbon Machine Learning School LxMLS 2024
Universidade de Lisboa Instituto Superior Técnico, Portugal
2024/07/03 - 2024/07/05 Encontro Ciência 2024 is a stage for promoting and discussing the scientific, social, cultural, and economic impact of research in Portugal, exploring the intersection between science, innovation, and society to inspire new ideas and foster transformative collaborations. Organized by the Foundation for Science and Technology and the National Agency for Scientific Culture CIÊNCIA VIVA, with the institutional support of the Ministry of Education, Science, and Innovation.
Exposição
 Encontro Ciência 2024
FCT - Foundation for Science and Technology, Portugal
2023/10/08 - 2023/10/11 IEEE ICIP is the world’s largest and most comprehensive technical conference focused on image & video processing and computer vision. This conference will showcase world-class plenary speakers, tutorials, exhibits, special sessions, industry sessions, and a women-in-engineering event that provides an excellent forum for fostering innovation and entrepreneurship. There will be plentiful opportunities to network with the brightest minds in academia and industry from this field.
Conferência
 International Conference on Image Processing (ICIP) 2023
Institute of Electrical and Electronics Engineers Inc, Estados Unidos

IEEE Signal Processing Society, Estados Unidos
Distinções

Prémio

2018 Master's Fellowship
Bangabandhu Science and Technology Fellowship, Ministry of Science and Technology, People's Republic of Bangladesh, Bangladesh