Bio
Syed Usman Ahmed is a researcher and academic affiliated with the Department of Computer Engineering at Aligarh Muslim University, India. Holding an M.Tech. degree, his work spans computer science domains including image processing, colour restoration, and automated systems. He has contributed to publications such as 'Adaptive Histogram Fusion-Based Colour Restoration and Enhancement for Underwater Images' and 'Monitoring Unscheduled Leaves using IVR'. With 5 published works, 12 citations, and an h-index of 2, his research continues to impact the field. He also serves as a reviewer for the Global Journal of Computer Science and Technology (GJCST), reflecting his active engagement in the academic community.
Educational Journey
M.Tech.
Experience
Editors Role
Reviewer
GJCST
0 -Research
Monitoring Unscheduled Leaves using IVR
Leaves are inherent part of a work and employees do take leaves at some point of this work life. Different types of leaves are provided by various employers in India. Some leaves are more informal in nature (also called as unscheduled leaves) compared to formal type of leaves (also called as scheduled leaves), one such unscheduled type of leave is Causal Leave (CL). These leaves are availed by employees in case some causality occurs with him/her or in his/her known ones. As the nature of CL is more of informal, it is believed that employee can take it as and when required and inform the authorities when he/she resumes his/her work. Currently most of the leave applications available are either in form of proforma (paper based) or web-based (online system). Many employees at the time of taking CL do not have both this options available, so even if they wish to inform about their leaves they have no mechanism to do so. Through this paper, we will to explore Interactive Voice Response (IVR) based Leave Management wherein we can provided a third option by high he/she can register his/her CL in his/her organization.
