Automated textile defect classification by Bayesian classifier based on statistical features. - Md. Tarek Habib; Shaon Bhatta Shuvo; Mohammad Shorif Uddin; Farruk Ahmed (IWCI, 2016)

A Convolution Neural Network Based Classification Approach for Recognizing Traditional Foods of Bangladesh from Food Images. - Nishat Tasnim; Md. Romyull Islam; Shaon Bhatta Shuvo (ISDA (1), 2018)

Improving Classification Model's Performance Using Linear Discriminant Analysis on Linear Data. - Joyoshree Ghosh; Shaon Bhatta Shuvo (ICCCNT, 2019)

MobileNet Model for Classifying Local Birds of Bangladesh from Image Content Using Convolutional Neural Network. - Md. Romyull Islam; Nishat Tasnim; Shaon Bhatta Shuvo (ICCCNT, 2019)

A Data Mining Based Approach to Predict Autism Spectrum Disorder Considering Behavioral Attributes. - Shaon Bhatta Shuvo; Joyoshree Ghosh; Atia Sujana Oyshi (ICCCNT, 2019)

Node Classification in Complex Social Graphs via Knowledge-Graph Embeddings and Convolutional Neural Network. - Bonaventure C. Molokwu; Shaon Bhatta Shuvo; Narayan C. Kar; Ziad Kobti (ICCS (6), 2020)

BanglaSenti: A Dataset of Bangla Words for Sentiment Analysis. - Hasmot Ali; Md. Fahad Hossain; Shaon Bhatta Shuvo; Ahmed Al Marouf (ICCCNT, 2020)

Classification of Actors in Social Networks Using RLVECO. - Bonaventure C. Molokwu; Shaon Bhatta Shuvo; Narayan C. Kar; Ziad Kobti (ICCSA (1), 2020)

Social Network Analysis using Knowledge-Graph Embeddings and Convolution Operations. - Bonaventure C. Molokwu; Shaon Bhatta Shuvo; Ziad Kobti; Narayan C. Kar (ICPR, 2020)

Simulating the Impact of Hospital Capacity and Social Isolation to Minimize the Propagation of Infectious Diseases. - Shaon Bhatta Shuvo; Bonaventure C. Molokwu; Ziad Kobti (KDD, 2020)

Link Prediction in Social Graphs using Representation Learning via Knowledge-Graph Embeddings and ConvNet (RLVECN). - Bonaventure C. Molokwu; Shaon Bhatta Shuvo; Narayan C. Kar; Ziad Kobti (SMC, 2020)

Node Classification and Link Prediction in Social Graphs using RLVECN. - Bonaventure C. Molokwu; Shaon Bhatta Shuvo; Narayan C. Kar; Ziad Kobti (SSDBM, 2020)

Simulating and Predicting the Active Cases and Hospitalization Considering the Second Wave of COVID-19. - Shaon Bhatta Shuvo; Bonaventure Chidube Molokwu; Samaneh Miri Rostami; Ziad Kobti; Anne W. Snowdon (ISCC, 2021)

A Multi-Task Learning Framework for COVID-19 Monitoring and Prediction of PPE Demand in Community Health Centres. - Bonaventure Chidube Molokwu; Shaon Bhatta Shuvo; Ziad Kobti; Anne W. Snowdon (CoRR, 2021)

A deep learning and heuristic methodology for predicting breakups in social network structures. - Bonaventure Chidube Molokwu; Shaon Bhatta Shuvo; Ziad Kobti (Comput. Intell., 2022)

COVID-19 Analysis in Canada using Deep Learning and Multi-Factor Data-Driven Approach with a Novel Dataset. - Shaon Bhatta Shuvo; Swastik Bagga; Ziad Kobti (ISCC, 2023)

Advancing Pandemic Preparedness through a Data-Driven Hybrid Simulation Model. - Shaon Bhatta Shuvo; Jyoti Das; Ziad Kobti; Narayan C. Kar (IJCNN, 2024)

Artificial Intelligence-Based Approaches for Analysis and Optimization of Complex Systems: Case Studies in Computational Epidemiology. - Shaon Bhatta Shuvo (2024)