Hardware implementation of motion blur removal. - Thusitha N. Chandrapala; Amila P. Cabral; Sapumal Ahangama; Thilina S. Ambagahawaththa; Jayathu G. Samarawickrama (FPL, 2012)

Increased Community Engagement via Map Based Website Modules/Plugins. - Sapumal Ahangama (HCI (29), 2013)

Use of Twitter Stream Data for Trend Detection of Various Social Media Sites in Real Time. - Sapumal Ahangama (HCI (22), 2014)

Why Innovations of Capital Market IT Systems Fail to Diffuse into the General Public? - Sapumal Ahangama; Danny Chiang Choon Poo (HCI (23), 2015)

Expectation Shortfall in the Highly Specialized B2B IT Innovation. - Ying-Qiu Dong; Sapumal Ahangama; Luyang Han; Cheng-Suang Heng (ECIS, 2016)

Credibility of Algorithm Based Decentralized Computer Networks Governing Personal Finances: The Case of Cryptocurrency. - Sapumal Ahangama; Danny Chiang Choon Poo (HCI (21), 2016)

Prediction of Domain Values: High throughput screening of domain names using Support Vector Machines. - Zsolt Bikádi; Sapumal Ahangama; Eszter Hazai (CoRR, 2017)

Cross Domain Approximate Matching of User Shared Content for User Entity Resolution. - Sapumal Ahangama; Danny Chiang Choon Poo (ICIS, 2018)

Application of Deep User Activity Transfer Models for Cross Domain User Matching. - Sapumal Ahangama; Danny Chiang Choon Poo (ICIS, 2019)

Latent User Linking for Collaborative Cross Domain Recommendation. - Sapumal Ahangama; Danny Chiang Choon Poo (CoRR, 2019)

Dynamic Stop-Loss Approach for Short Term Trades using Deep Learning. - Iromie K. Samarasekara; Oshan K. Mendis; Sapumal Ahangama; Ajantha S. Atukorale (IEEE Big Data, 2022)

Eavesdropping Attack Detection Using Machine Learning in Network-on-Chip Architectures. - Chamika Sudusinghe; Subodha Charles; Sapumal Ahangama; Prabhat Mishra 001 (IEEE Des. Test, 2022)

A Novel Approach for Deep Learning-Powered Forecasting of Market Bottoms in Cryptocurrency and Stock Trading. - D. M. D. K. Dasanayake; H. Y. Dilshan; H. D. K. Y. Rathnaweera; Sapumal Ahangama; Indika Perera (IEEE Big Data, 2023)

Deep Learning Based Personalized Stock Recommender System. - Narada Wijerathne; Jamini Samarathunge; Krishalika Rathnayake; Supuni Jayasinghe; Sapumal Ahangama; Indika Perera; Vinura Dhananjaya; Lushanthan Sivaneasharajah (ICONIP (12), 2023)