Multimedia Intelligent System for Online Learning. - Charles Buabeng-Andoh; David Asirvatham (ICCE, 2002)

Investigating the Issues of Using Agile Methods in Offshore Software Development in Sri Lanka. - V. N. Vithana; David Asirvatham; Md Gapar Md Johar (ACIIDS (Extended Posters), 2017)

Effect of blended learning and learners' characteristics on students' competence: An empirical evidence in learning oriental music. - Chamila Nishanthi Edward; David Asirvatham; Md Gapar Md Johar (Educ. Inf. Technol., 2018)

An analysis and prediction model of outsiders percentage as a new popularity metric on Instagram. - Kristo Radion Purba; David Asirvatham; Raja Kumar Murugesan (ICT Express, 2020)

Instagram post popularity trend analysis and prediction using hashtag, image assessment, and user history features. - Kristo Radion Purba; David Asirvatham; Raja Kumar Murugesan (Int. Arab J. Inf. Technol., 2021)

Guest editorial. - V. Vinoth Kumar; Gautam Srivastava 001; David Asirvatham; Biplab Sikdar 001 (Int. J. Pervasive Comput. Commun., 2021)

Student Retention Using Educational Data Mining and Predictive Analytics: A Systematic Literature Review. - Dalia Abdulkareem Shafiq; Mohsen Marjani; Riyaz Ahamed Ariyaluran Habeeb; David Asirvatham (IEEE Access, 2022)

Influence maximization diffusion models based on engagement and activeness on instagram. - Kristo Radion Purba; David Asirvatham; Raja Kumar Murugesan (J. King Saud Univ. Comput. Inf. Sci., 2022)

Machine Learning with Explainability for Suicide Ideation Detection from Social Media Data. - Md Rafiqul Islam; Md. Kowsar Hossain Sakib; Shanjita Akter Prome; Xianzhi Wang 001; Anwaar Ulhaq; Cesar Sanín; David Asirvatham (BESC, 2023)

SIDVis: Designing Visual Interactive System for Analyzing Suicide Ideation Detection. - Md. Rafiqul Islam 004; Md. Kowsar Hossain Sakib; Anwaar Ulhaq; Shanjita Akter; Jianlong Zhou; David Asirvatham (IV, 2023)

MVis4LD: Multimodal Visual Interactive System for Lie Detection. - Md. Kowsar Hossain Sakib; Md. Rafiqul Islam 004; Shanjita Akter Prome; Thanh Thao Lam Nguyen; David Asirvatham; Neethiahnanthan Ari Ragavan; Xianzhi Wang 001; Cesar Sanín (ACIIDS (2), 2024)

A Hybrid Deep Learning Model to Predict High-Risk Students in Virtual Learning Environments. - Jafar Ali Ibrahim Syed Masood; N. S. Kalyan Chakravarthy; David Asirvatham; Mohsen Marjani; Dalia Abdulkareem Shafiq; Srinu Nidamanuri (IEEE Access, 2024)

Quantum blockchain: Trends, technologies, and future directions. - S. Manjula Gandhi; Chaitrali Mulay; Karthiganesh Durai; G. Murali; Jafar Ali Ibrahim Syed Masood; V. Vijayarajan; Kumar Gautam; N. S. Kalyan Chakravarthy; S. Suresh Kumar; Saurabh Agarwal; Murali S; Vijayasherly V; et al. (IET Quantum Commun., 2024)

Deception detection using machine learning (ML) and deep learning (DL) techniques: A systematic review. - Shanjita Akter Prome; Neethiahnanthan Ari Ragavan; Md. Rafiqul Islam 007; David Asirvatham; Anasuya Jegathevi Jegathesan (Nat. Lang. Process. J., 2024)

MVis4SID: Multimodal Visual Interactive System for Suicide Ideation Detection. - Md. Kowsar Hossain Sakib; Md Rafiqul Islam; Shanjita Akter Prome; Sadia Jahan; David Asirvatham; Neethiahnanthan Ari Ragavan; Cesar Sanín; Weidong Huang 001 (WWW (Companion Volume), 2025)

Code-Switching ASR for Low-Resource Indic Languages: A Hindi-Marathi Case Study. - Hemant Palivela; Meera Narvekar; David Asirvatham; Shashi Bhushan; Vinay Rishiwal; Udit Agarwal (IEEE Access, 2025)