A Benefit Optimization approach to the Evaluation of Classification Algorithms

A Benefit Optimization approach to the Evaluation of Classification Algorithms

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Shellyann Sooklal and Patrick Hosein

Artificial Intelligence and Applied Mathematics in Engineering Problems, Springer International, vol. 43, No. 1

Jan, 2020

(Also presented at International Conference on Artificial Intelligence and Applied Mathematics in Engineering, Antalya, Turkey)

Patrick Hosein

Patrick Hosein

Director

patrick.hosein@sta.uwi.edu

Ph.D (EECS), MIT

E.E (Engineer’s Degree), MIT

S.M (EECS), MIT

S.B (EE), MIT

S.B (Math), MIT


Patrick attended the Massachusetts Institute of Technology (MIT) where he obtained five degrees including a PhD in Electrical Engineering and Computer Science. He has worked at Bose Corporation, Bell Laboratories, AT&T Laboratories, Ericsson and Huawei. He has published extensively with over 150 refereed journal and conference publications. He holds 41 granted patents in the areas of telecommunications and wireless technologies. He was nominated for the Ericsson Inventor of the Year award in 2004, was the Huawei US Wireless Research Employee of the year for 2007, is a 2015 Anthony Sabga Caribbean Laureate for Science and Technology and is a National Geographic Explorer. Patrick is presently the administrative and technical contact for the TT top level domain, CEO of the TTNIC and a Professor of Computer Science at the University of the West Indies. His present areas of research include Applied Data Science, Operations Research and Performance and Pricing Optimisation for Cellular Networks.

Letetia Addison

Letetia Addison

Voluntary Postdoctoral Researcher: 29-11-2018

letetia.addison@gmail.com

Ph.D., The University of the West Indies

M.Phil., The University of the West Indies

B.Sc., The University of the West Indies


Letetia completed her Doctorate in Mathematics at the University of the West Indies (UWI), in which she investigated the dynamics of prey-predator and epidemic models, applied to investments. Previously, she studied approximations of functions using statistical ideas, which formed the basis of her M.Phil. Statistics. Her passion for both Mathematics and Statistics led her to produce various publications in both fields. She has over ten years’ experience lecturing a variety of tertiary level courses in Mathematics, Probability and Statistics, and also served as coordinator of the Mathematics Help Centre at the UWI. Letetia is involved in various Statistical Consulting Projects and is currently a Project Officer at the University of the West Indies.

Kevin Baboolal

Kevin Baboolal

MPhil Fellow: 20-04-2021

k.baboolal1.0@gmail.com

B.Sc., University of Waterloo

M.Sc., Arthur Lok Jack Graduate School of Business


Kevin acquired his first degree in Mechanical Engineering specializing in additive manufacturing at the University of Waterloo, after which he pursued a Master of Business Administration focusing on Business Strategy at the Arthur Lok Jack, Graduate School of Business. At present, he manages the operations of a leading manufacturer in the Caribbean region and leverages technology to build sustainable competitive advantages. His interests lie in companywide digital transformations and industry 4.0 initiatives. Kevin has deployed multiple machine learning algorithms in the manufacturing environment synthesizing his knowledge of data science, engineering and business.