Temporal classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain-computer interface. - Ranganatha Sitaram; Haihong Zhang; Cuntai Guan; Manoj Thulasidas; Yoko Hoshi; Akihiro Ishikawa; Koji Shimizu; Niels Birbaumer (NeuroImage, 2007)

A Quality Metric for K-Means Clustering. - Manoj Thulasidas (ICNC-FSKD, 2018)

Nearest Centroid: A Bridge between Statistics and Machine Learning. - Manoj Thulasidas (TALE, 2020)

Secure Answer Book and Automatic Grading. - Manoj Thulasidas (TALE, 2020)

Statistical Moderation: A Case Study in Grading on a Curve. - Manoj Thulasidas (TALE, 2021)

A Quality Metric for K-Means Clustering Based on Centroid Locations. - Manoj Thulasidas (ADMA (2), 2022)

A Recommendation on How to Teach K-Means in Introductory Analytics Courses. - Manoj Thulasidas (TALE, 2022)

Cold Calls to Enhance Class Participation and Student Engagement. - Manoj Thulasidas; Aldy Gunawan (TALE, 2022)

Peer Learning in an Undergraduate Linear Algebra Course - A Social Network Analysis. - Manoj Thulasidas; Kyong Jin Shim; Jonathan Teo (TALE, 2023)

Flipped Classroom for Linear Algebra at Undergraduate Level. - Manoj Thulasidas (EDUCON, 2024)

The Grader: A Grading Assistant for Lab Tests and a Teaching Tool. - Manoj Thulasidas; David Lo 001 (EDUCON, 2024)