Tahsir Ahmed Munna

Domains

Artificial Intelligence

Projects

HfPT

CardioComplete

Automatic Complete Reporting of Cardiovascular Findings in Opportunistic Computed Tomography Screening

Publications

COMPLEXITY SCALABLE LEARNING-BASED IMAGE DECODING

Munna, TA;Ascenso, A;

2023

2023 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP

Simplified Mapreduce Mechanism for Large Scale Data Processing

Tahsir Ahmed Munna, M;Muhammad Allayear, S;Mohtashim Alam, M;Shah Mohammad Motiur Rahman, S;Samadur Rahman, M;Mesbahuddin Sarker, M;

2018

International Journal of Engineering & Technology

NStackSenti: Evaluation of a Multi-level Approach for Detecting the Sentiment of Users

Sohan, MF;Rahman, SSMM;Munna, MTA;Allayear, SM;Rahman, MH;Rahman, MM;

2019

Communications in Computer and Information Science - Next Generation Computing Technologies on Computational Intelligence

A Sentiment Analysis Based Approach for Understanding the User Satisfaction on Android Application

Rahman, MM;Rahman, SSMM;Allayear, SM;Patwary, MFK;Munna, MTA;

2020

Advances in Intelligent Systems and Computing - Data Engineering and Communication Technology

View all publications

Centres

Artificial Intelligence and Decision Support

Our Laboratory of Artificial Intelligence and Decision Support (LIAAD) conducts research in the fields of Artificial Intelligence, Machine Learning, Data Science, and Modelling. These areas are cross-cutting and apply to all sectors of society and the economy. The vast amounts of data being collected, alongside the ubiquity of digitalisation and sensorisation, are increasingly creating opportunities and challenges for automating decision support. The combination of Machine Learning and complex models is transforming the economy, healthcare, justice, industry, science, public administration, and education. This encourages us to invest in diverse technological and scientific approaches and perspectives. Our overarching strategy is to explore the flow and diversification of data, and to invest in research lines that will lead to the development of applied Artificial Intelligence foundations and models that are responsible and human centred.