A New Travel Time Prediction Method for Intelligent Transportation Systems. - Hyunjo Lee; Nihad Karim Chowdhury; Jae-Woo Chang (KES (1), 2008)

Development of an Effective Travel Time Prediction Method Using Modified Moving Average Approach. - Nihad Karim Chowdhury; Rudra Pratap Deb Nath; Hyunjo Lee; Jae-Woo Chang (KES (1), 2009)

Modified K-Means Clustering for Travel Time Prediction Based on Historical Traffic Data. - Rudra Pratap Deb Nath; Hyunjo Lee; Nihad Karim Chowdhury; Jae-Woo Chang (KES (1), 2010)

New travel time prediction algorithms for intelligent transportation systems. - Jae-Woo Chang; Nihad Karim Chowdhury; Hyunjo Lee (J. Intell. Fuzzy Syst., 2010)

Improved Travel Time Prediction Algorithms for Intelligent Transportation Systems. - Nihad Karim Chowdhury; Carson Kai-Sang Leung (KES (2), 2011)

Large Scale Comprehensive 3D Shape Retrieval. - Bo Li 013; Yijuan Lu; C. Li; Afzal Godil; Tobias Schreck; Masaki Aono; Qiang Chen; Nihad Karim Chowdhury; Bin Fang; Takahiko Furuya; Henry Johan; Ryuichi Kosaka; et al. (3DOR@Eurographics, 2014)

A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries. - Bo Li 013; Yijuan Lu; Chunyuan Li; Afzal Godil; Tobias Schreck; Masaki Aono; Martin Burtscher; Qiang Chen; Nihad Karim Chowdhury; Bin Fang; Hongbo Fu 001; Takahiko Furuya; et al. (Comput. Vis. Image Underst., 2015)

ECOVNet: An Ensemble of Deep Convolutional Neural Networks Based on EfficientNet to Detect COVID-19 From Chest X-rays. - Nihad Karim Chowdhury; Md. Muhtadir Rahman; Noortaz Rezoana; Muhammad Ashad Kabir (CoRR, 2020)

PDCOVIDNet: a parallel-dilated convolutional neural network architecture for detecting COVID-19 from chest X-ray images. - Nihad Karim Chowdhury; Md. Muhtadir Rahman; Muhammad Ashad Kabir (Health Inf. Sci. Syst., 2020)

An Ensemble-based Multi-Criteria Decision Making Method for COVID-19 Cough Classification. - Nihad Karim Chowdhury; Muhammad Ashad Kabir; Md. Muhtadir Rahman (CoRR, 2021)

ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-19. - Nihad Karim Chowdhury; Muhammad Ashad Kabir; Md. Muhtadir Rahman; Noortaz Rezoana (PeerJ Comput. Sci., 2021)

CSECU-DSG@SMM4H'22: Transformer based Unified Approach for Classification of Changes in Medication Treatments in Tweets and WebMD Reviews. - Afrin Sultana; Nihad Karim Chowdhury; Abu Nowshed Chy (SMM4H@COLING, 2022)

Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method. - Nihad Karim Chowdhury; Muhammad Ashad Kabir; Md. Muhtadir Rahman; Sheikh Mohammed Shariful Islam (Comput. Biol. Medicine, 2022)

A survey of machine learning techniques for detecting and diagnosing COVID-19 from imaging. - Aishwarza Panday; Muhammad Ashad Kabir; Nihad Karim Chowdhury (Quant. Biol., 2022)

MMTF-DES: A fusion of multimodal transformer models for desire, emotion, and sentiment analysis of social media data. - Abdul Aziz 002; Nihad Karim Chowdhury; Muhammad Ashad Kabir; Abu Nowshed Chy; Md Jawad Siddique (Neurocomputing, 2025)

Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation. - Rofiqul Islam; Nihad Karim Chowdhury; Muhammad Ashad Kabir (CoRR, 2025)