Browsing by Author "de Silva, U"

Now showing 1 - 2 of 2

Open Access
Event Detection and Latency Analysis in High Frequency Trading Dashboards
(Department of Mathematics and Statistics, Faculty of Humanities and Sciences, SLIIT, 2025-10-10) de Silva, U; Perera, S; Liyanage, U.P; Erandi, H
High frequency trading relies on millisecond-level decisions, where profitability is strongly influenced by both market responsiveness and system latency. Traditional dashboards offer real-time visualizations but fall short in detecting abrupt regime shifts or quantifying latency. This study presents an AI-aided Market Pulse and Latency Panel that integrates candlestick pattern recognition, change point detection and latency measurement into a unified dashboard. The system detects technical patterns, identifies structural market shifts, and quantifies infrastructural bottlenecks. Experimental results demonstrate that the panel enhances situational awareness by combining event detection with latency analytics, providing traders with actionable insights for strategy adjustment and infrastructural optimization.
Open Access
Measuring Burnout: A Validation Study of The Oldenburg Burnout Inventory for The Sri-Lankan IT Sector
(SLIIT, Faculty of Engineering, 2024-03) de Silva, U; Kumar, S
Burnout is a psychological syndrome emerging as a prolonged response to chronic interpersonal stressors on the job. WHO defines burnout as an “occupational phenomenon” and is included in the 11th revision of the International Classification of Diseases (ICD-11). Research reveals the existence of this burnout phenomenon across a range of occupations, such as healthcare professionals, teachers, athletes, pilots, IT professionals etc. A study conducted by Yerbo, a mental wellbeing platform revealed that 2 in 5 of the workers in the IT industry show a high risk of burnout. At present, there are few tools available to measure burnout. After the Maslach Burnout Inventory (MBI), the Oldenburg Burnout Inventory (OLBI) is considered the most widely used measure of burnout and is also freely available. The current study is aimed at determining the measurement validity of the OLBI in the local context based on IT professionals. To determine the content validity of the OLBI, an expert panel was employed. In order to examine the construct validity and concurrent criterion validity, a questionnaire-based study was conducted among 161 (n = 161) randomly chosen IT professionals. MBI and DASS-21 were used to explore the convergent and divergent validity of the OLBI. Four items were deemed not essential to measure burnout based on content validation. The MTMM analysis revealed adequate evidence of the existence of both convergent and divergent validity of the OLBI. The current study was able to provide evidence of content, concurrent criterion and construct related validity of the OLBI in the Sri Lankan context based on IT professionals. These findings suggest that OLBI can be used as a reasonable tool to measure burnout among IT professionals in Sri Lanka. Availability of such a tool will undoubtedly help organizations in ensuring their workforce is healthy and productive.