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Introduction
In 2007, Richelle Adams received the Ph.D. degree in Electrical and Computer Engineering from the Georgia Institute of Technology, Atlanta, USA.
Currently, she is a Lecturer in the Department of Electrical and Computer Engineering, The University of the West Indies. Her research interests include infinitesimal perturbation analysis for active queue management in communication networks and simulation of queuing systems. She also has a keen interest in disaster communications.
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August 2000 - present
Publications
Publications (16)
Effective time management is associated with greater academic performance and lower levels of anxiety in students; however many students find it hard to find a balance between their studies and their day-to-day lives. This article examines the self reported time management behaviors of undergraduate engineering students using the Time Management Be...
In the Caribbean context, entry into university is primarily based on Caribbean Examinations Council (CXC) qualifications, and specifically the CXC Advanced Proficiency Examination (CAPE). The goal of this work is to examine the degree to which CAPE entry-grades predict both student final-graduating and in-programme course performance in a Caribbea...
Emergency response involves the management of several different types of critical infrastructures and resources. Because of the interdependent nature of these systems, it is often very difficult for human decision makers to determine what the second- or third-order effects of their decisions or actions might be. This has resulted in the development...
By simulation using NS-3 we evaluated the performance of voice, video and web traffic sharing a wireless access network connected to a wired core. We compared the performance in terms of end-to-end delay, end-to-end delay variation, average throughput and loss percentage. For the wireless access network, we considered cases when it consisted of a s...
Reliable communication networks are essential for robust and effective disaster responses. They facilitate information sharing that is required for efficient coordination of critical infrastructures. Poor quality or nonexistent communications can have crippling effects on disaster response, adding unwanted delays to response time and in the worst c...
In this paper we perform Infinitesimal Perturbation Analysis (IPA) for a single-stage stochastic fluid queue that is shared between two competing sources, one that employs additive loss-feedback congestion control and the other that employs no congestion-control (i.e., it is unresponsive). This scenario is applicable within the realm of computer co...
In this paper we discuss perceptions of the benefits of learner-generated podcasts for supporting postgraduate engineering students in a mathematics-intensive course. The course under study had previously been highlighted as one in which students had struggled to attain knowledge that formed an essential underpinning to their degree programme. Podc...
In this paper Infinitesimal Perturbation Analysis (IPA) is used to derive the gradient estimators for loss volume and queue workload in a multi-stage tandem of stochastic fluid queues with instantaneous additive loss-feedback for overall congestion control. These gradient estimators are then used to drive a standard stochastic approximation algorit...
Since its formal introduction to IP networks in 1993 as a viable complementary approach for congestion control, there has been a steady stream of research output with respect to Active Queue Management (AQM). This survey attempts to travel the trajectory of AQM research from 1993 with the first algorithm, Random Early Detection (RED), to current wo...
This paper develops an abstract framework for Infinitesimal Perturbation Analysis (IPA) in the setting of stochastic flow models, and it applies it to several problems arising in the study of flow control in single-server fluid-flow queues. The framework is based on a switched-mode hybrid-system paradigm, and especially on the interplay between its...
This paper concerns the application of Infinitesimal Perturbation Analysis (IPA) to a fluid queue with flow control. The control law restricts the inflow rate to the queue by an amount that is proportional to the loss rate, and the control signal incurs a delay. The performance measure consists of a weighted sum of the loss volume and cumulative wo...
This paper concerns infinitesimal perturbation analysis (IPA) for fluid queues with finite buffers, where input fluid in excess of buffer capacity is turned away and considered lost. In particular, it considers the loss-volume (and hence average loss rate) performance measure with respect to the buffer sizes. Most previous results pertained to open...
Fluid models long have been investigated as models for performance evaluation of queueing networks in various application domains, like telecommunications, manufacturing, and transportation. Unlike the established, essentially-discrete queueing models that capture the movement and storage of each individual entity (packet, job, vehicle), fluid mode...
Active queue management (AQM) techniques for congestion control in Internet Protocol (IP) networks have been designed using both heuristic and analytical methods. But so far, there has been found no AQM scheme designed in the realm of stochastic optimization. Of the many options available in this arena, the gradient-based stochastic approximation m...