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 100 refereed journal and conference publications. He holds 40 granted and 42 pending 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 and is a 2015 Anthony Sabga Caribbean Laureate for Science and Technology. 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 radio resource management, QoS and pricing for 5G cellular networks.

Shellyann Sooklal

Shellyann Sooklal

PhD Fellow: 27-04-2015

shellyann.sooklal@gmail.com

M.Phil, The University Of The West Indies

B.Sc., The University Of The West Indies


Shellyann is a student at the University of the West Indies (UWI), pursuing her PhD degree in Computer Science, where the emphasis of her research is in Genomics. Shellyann is also currently teaching a Masters level course in Advanced Networking at UWI. Shellyann graduated with her Undergraduate degree at UWI in 2010, with first class honors and went on to build her professional career by working as a Software Developer at Medullan. Shellyann returned to UWI in 2012 where she pursued an MPhil in Computer Science, with her research focusing around diagnosing and rating Parkinson’s Tremors using the Kinect. Shellyann has worked as a tutor, teaching assistant, instructor and part-time lecturer at UWI, teaching a wide range of courses, including programming in C, Java, Android and game programming, Data Structures and Design and Analysis of Algorithms. She also managed level 3 projects and taught web development and database systems.

Inzamam Rahaman

Inzamam Rahaman

MPhil Fellow: 16-11-2015

inzamam.rahaman@outlook.com

B.Sc., The University Of The West Indies


Inzamam Rahaman graduated with a BSc in Computer Science from The University of the West Indies, St. Augustine. During his penultimate year, he worked under the AgriNeTT project developing models for crop price prediction and developing web applications for agricultural data visualisation. For his undergraduate project, he adapted a VQ Index Based Steganography technique to an FPGA using VHDL. In the period immediately following his degree, he interned at the NASA Ames Research Centre developing geospatial web applications using NASA’s Web World Wind SDK. In addition to working as an MPhil Fellow of TTLAB, he is also a teaching assistant for the Department of Computing and Information Technology. His present areas of research interest are in Social Network Analysis, Data Mining, and Artifical Intelligence.

Shiva Ramoudith

Shiva Ramoudith

Associate Professional: 26-08-2016

shiva@lab.tt

M.Sc., The University of the West Indies

B.Sc., The University of the West Indies


Shiva is currently an Associate Professional at the UWI. During his undergraduate degree, he worked as an Intern in the AgriNett and CSRP projects where he assisted in the development of Android applications. Shiva also served as an executive board member of the University of the West Indies Computing Society. While completing his M.Sc., he assisted in the delivery of programming, web, and software development courses at the Department of Computing and Information Technology. For his M.Sc. project, he collaborated with Professor and Massy Technologies, Trinidad. The project focused on optimizing vehicle imports in small island states. He is currently involved in projects based on modeling trust, developing web applications and, data analysis. He is also one of the coaches of the ICPC (Inter Collegiate Programming Competition) Trinidad team.

Keanu Nichols

Keanu Nichols

Undergraduate Intern: 28-06-2018

nichols.keanu9@gmail.com


Keanu is an undergraduate at the University of the West Indies going into his second year studying Computer Science Special. He spent a year at Penn State University but later attended the University of the West Indies. He was selected for an internship for Google Summer of Code to work at a company called CHAOSS (Community Health Analytics Open Source Software) where he is working to implement a SQL Database to store mailing archives and implement Natural Language Processing on the emails. He is participating on the online Data Science competition website Kaggle to create machine learning models to solve different problems, so far he as worked on a problem related to computer vision and sentiment analysis.

Darren Ramsook

Darren Ramsook

TSTT Intern: 08-11-2018

darrenramsook@outlook.com

B.Sc. The University of the West Indies


Darren is currently pursuing his MSc. degree in Data Science at the University of the West Indies, St. Augustine Campus. Darren earned his BSc. Degree in Electrical & Computer Engineering in 2018 from the University of the West Indies. He has a key interest in the areas of Software Engineering, Machine Learning, Audio and Video signal processing and Systems Design. He also is the founder of e-Learn Caribbean (elearncaribbean.com), an organization aimed at making education accessible to the Caribbean.

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.

Kimberlee Laloo

Kimberlee Laloo

Associate Professional: 09-09-2019

kimberlee.laloo@ieee.org

EE. University College London (UCL)

MEng. University College London (UCL)


Kimberlee completed her MEng. Electronic and Electrical Engineering degree at University College London (UCL). She has a keen interest in communication systems, machine learning and data analytics having completed her bachelors and masters theses on the modelling and simulation of 5G waveform candidates and the design of a hand gesture recognition system respectively. Her present areas of interest include: web development and energy systems namely, renewable energy and smart grids.

Mariella Rivas

Mariella Rivas

TSTT Intern: 17-09-2019


Mariella Rivas graduated with a BSc in Actuarial Science from the University of the West Indies, St Augustine. She has also recently completed her MSc in Statistics at the same institution. Her key interests lie in the areas of data analytics, machine learning, and deep learning. For her MSc, she explored and compared the performance of machine learning algorithms and a deep learning network as they related to breast cancer diagnosis using mammographic data. She has been employed in Finance at the Trinidad & Tobago Unit Trust Corporation, and is currently involved in market research with Cite Up Limited.

Reshawn Ramjattan

Reshawn Ramjattan

M.Sc Student: 12-10-2019

reshawnramjattan@gmail.com

B.Sc.,The University of the West Indies, 2018


Reshawn graduated with a B.Sc in Computer Science from the University of the West Indies, St. Augustine. During his second year he interned at First Citizens Internal Audit where he wrote data analysis scripts. In his final year he was a part of a team that built a block-chain based food trace-ability app and for his undergraduate project his team built a map of local street food vendors with collaborative filtering based recommendations. He went on to spend some time as a developer at a retail software company before becoming a part time tutor at the Department of Computing and Information Technology. He is currently pursuing his M.Sc in Computer Science.

Kavishti Balram

Kavishti Balram

Associate Professional: 07-11-2019


My name is Kavishti Balram, an Actuarial Science undergrad from City, University of London. I have always been fond of Mathematics and more so its applications in the real world. Also, Business Studies has always interest me and I know my new-found knowledge from my degree will not only improve my abilities but help me impact the financial sector of Trinidad and Tobago. My intentions on becoming a Fellow Actuary have always been clear to me and with my hard working and persistent mentality I know I can achieve that in the future. Although lacking experience, I will always put my best foot forward and continuously try to improve my skills and abilities both as a professional and as a person. I hope to continue learning from the leaders in front of me with the hope of inspiring others and leading my own firm one day.

Gabriela Sewdhan

Gabriela Sewdhan

TSTT Intern: 14-11-2019

gabiems13@gmail.com

B.Sc., The University Of The West Indies


Gabriela Sewdhan is a student at the University of the West Indies (UWI). She possesses a bachelor’s in Psychology and is currently pursuing another bachelor’s degree in Computer Science. She is most passionate about Machine Learning and Robotics and would one day like to own a company specialising in these fields. Gabriela has interned at Persisto Labs where she developed various software modules with a stringent and well-documented Git workflow and worked on deploying these microservices to Amazon Web Services. She gained practical experience in Cloud infrastructure and deployment, React Native app development, as well as created a chatbot using Amazon Lex. In 2017, she worked with a team consisting of Michael Ali and Qarun Bissoondial for the Telios Code Jam and built MET-Oracle, which uses Machine Learning to Improve City Resilience and Awareness to Extreme Weather Conditions Due to Global Warming. She has also worked with the same team to produce PiDronics, an Automated Hydroponics Control System to Increase Effectiveness with Limited Resources and to diagnose plants using Image recognition. Furthermore, body language analysis was experimented on, in a team with Michael Ali during the Hacker Hostel program. Gabriela is planning to pursue a Master’s in Robotics and is very interested in applying Artificial Intelligence to try to fix environmental problems. During her spare time, she loves baking, playing the piano and guitar, and journaling.

Rafael Guerrero

Rafael Guerrero

TSTT Intern: 15-11-2019

rafael.guerrero05@gmail.com

M.Sc., The University of the West Indies

B.Sc., The University of the West Indies


Rafael graduated with a B.Sc. in Actuarial Science and a M.Sc. in Statistics at The University of The West Indies, St. Augustine (The UWI). He has previously worked in the Mathematics & Statistics Department at The UWI, occupying positions such as Part-Time Demonstrator and Part-Time Assistant Lecturer over the course of time. He intends to target research projects in machine learning and data analytics.

Navin Dookeram

Navin Dookeram

TSTT Intern: 19-11-2019

ndookeram@yahoo.com

B.Sc., The University of the West Indies


I am an aspiring young professional who is eager to be assimilated into the field of Data Science. My journey is a strange one, having completed my BSc Petroleum Geoscience degree (Hons), and later pursuing an MSc Statistics degree. I became interested in Data Science during my exposure to various statistical aspects of my postgraduate degree. Currently, I am working on my final year project which entails the use of Bayesian spatiotemporal modelling to aid in identifying crime hotspots in Trinidad and Tobago. I also investigated how these hotspots are evolving over time, that is, which specific communities in the country are becoming ‘warmer’ and ‘cooler’ over the years. This can then provide law enforcement with insight as to where they should optimally deploy resources in order to prevent crime in high-risk areas or even prohibit crime hotspot formation. I am presently employed as a Data Science Intern at TSTT.

Nicholas Jacob

Nicholas Jacob

Undergraduate Intern: 23-01-2020

n.s.jacobtt@gmail.com

BSc., The University of the West Indies


Nicolas is a final year student pursuing a BSc. in Mathematics and Computer Science at the University of the West Indies. His interest in applied mathematics lead him to begin pursuing actuarial science independently, currently, he has achieved passing grades in 3 of the professional examinations necessary for becoming an associate of the Society of Actuaries, and intends to go on to attain at least associateship, and hopefully even fellowship. He served as the project manager for the actuarial science club for the academic year 2019/2020 and also received the faculty prize for the best performance in mathematics of finance. Other areas of interest, though not exhaustive, include machine learning, computer vision and artificial intelligence. Greatest desire involves using mathematics to solve real interesting world problems. One of his favorite pastimes includes completing online courses in mathematics and computer science, among other disciplines, with the aim of increasing his arsenal of tools with which to solve problems.

Navin Ramesar

Navin Ramesar

M.Sc. Student: 24-01-2020

navin.159@hotmail.com

B.Sc., The University Of The West Indies


Navin is currently pursuing his MSc. in Data Science at the University of the West Indies, St. Augustine campus. He graduated in 2018 with a BSc. in Statistics and Economics (Special) from the University of the West Indies. He chose to pursue a degree in Data Science because of his fascination with big data and visualization and using it to make informed decisions. He has worked in I.T. where he worked on projects relating to automation and cybersecurity. His areas of interests are on Machine Learning, Deep Learning and Optimization.

Jodhan Medina

Jodhan Medina

Undergraduate Intern: 02-02-2020

jodhanmedina@gmail.com

B.Sc., Computer Science – The University of the West Indies


A final year undergraduate at the University of the West Indies, pursuing a Bachelor’s of Science in Mathematics and Physics. Jodhan’s talents lie in both pure and applied mathematics, specifically areas such as algebra, analysis, statistics and optimisation, which he has employed while working on projects in recent years (such as examining the relationship between spectral filtering and temporal photon bunching in thermal light sources and devising a semi-classical framework for the spectral generation of optical quantum bits). He’s keen to extend his talents to the realm of computer science by working on many real-world problems of significant interest.

Nirvan Sharma

Nirvan Sharma

MSc Student: 11-03-2020

nirvan.sharma95@gmail.com

B.Sc., The University of the West Indies


Nirvan is currently finishing his MSc in Computer Science with a specialty in Cloud Technologies at the University of the West Indies, St. Augustine, where he also graduated with a BSc in Computer Science in 2018. In his second year of his BSc, Nirvan was awarded the opportunity to participate in the first UWI-First Citizens internship programme and implemented an enterprise web system for the Asset Management department. He has two top 3 placements in the Teleios Code Jam competition during his last two years of his undergraduate degree, one of which came from using a TensorFlow classifier to detect criminal activity from a video feed. The other came from helping a team of three create a blockchain-based food trace-ability application. During his MSc, he worked full-time as a Software Developer and Technical Team Lead. His current areas of interest are Data Science and Machine Learning, in particular, Anomaly Detection.

Chelsea Marjadsingh

Chelsea Marjadsingh

Guardian Group Reverse Intern: 05-04-2020

Chelsea.Marjadsingh@myguardiangroup.com

B.Sc., The University of Bristol, 2017


Chelsea graduated with a BSc in Mathematics and Economics from the University of Bristol (UK) in 2017, where she formed an interest in applying mathematical modelling on real-world data to answer economic questions. Upon graduating, she completed the associate professional programme at the economics unit in the Ministry of Public Utilities, building analytics reports for the water sector. Currently, she is employed at Guardian Group as a Data Analytics Specialist. In her role, she is involved in the implementation of machine learning solutions and business intelligence reporting.

Randyll Pandohie

Randyll Pandohie

PhD Student: 20-03-2020

randyll.pandohie@open.uwi.edu

M.Sc., The University of the West Indies

B.Sc., The University of the West Indies


Randyll is currently employed with The University of the West Indies as the Enterprise Applications Support Manager for the Open Campus. He previously worked in the Banking sector and the Oil and Gas sector. In these roles he has managed the Enterprise Applications including Banner ERP, Oracle Enterprise Resource Planning, Maximo (Computerize Maintenance Management System), External/Intranet websites and Business Intelligence systems. Mr. Pandohie holds a B. Sc. in Computer Science and Management as well as a M. Sc. in Computer Science from the University of the West Indies. He is currently pursuing his Ph. D in Computer Science at St. Augustine Campus. Randyll’s key research interests include Big Data, Social Networks and Genetic Algorithms.

Jervell Thomas

Jervell Thomas

Postgraduate Intern: 15-04-2020

jervellthomas@gmail.com

B.Eng, University of Sheffield, 2019


Jervell Thomas is an open scholarship winner and first-class graduate of the University of Sheffield. His latest research verified an assumption normally made when using machine learning to identify damaged structures. He has a keen interest in data analytics, machine learning, start-up projects and business development.

Kris Manohar

Kris Manohar

Postdoc Researcher: 11-05-2020

justkrismanohar@gmail.com

M.Sc., The University of the West Indies

B.Sc., The University of the West Indies


Kris Manohar is passionate about research, teaching, and student development. He has received a B.S. degree in Computer Science and a M.S. Computer Science with distinction from the University of the West Indies. Since 2010, he has been with the Department of Computing and Information Technology (DCIT). During his time at DICT he has taught several undergraduate courses in computer science and mathematics, and has been involved with the organization of several local and international contests, and training activities. A few examples are the ACM-ICPC national contests (2012, 2013, 2017, 2018, 2019), AMC-ICPC national training camps (2013, 2018), Open Data conference and code sprint (2013, 2015), Computing Fourm (2012, 2013), DICT Runtime competition (2012, 2013) and DCIT Bootcamp (2011, 2012, 2017, 2018). Currently, he is a Ph.D. candidate in Computer Science at the UWI. His research interests include information hiding, stegoanogrpahy, data compression, and image processing.

Nidia Sahjara

Nidia Sahjara

Research Member: 18-05-2020

nidia.sahjara@gmail.com

B.Sc., Computer Science – The University of Derby


Nidia obtained her BSc Computer Science from the University of Derby (1st Hons) where she started her machine learning research with political science applications. At present, she works as a Back-end Developer while continuing to pursue her NLP (Natural Language Processing) research with the goal of publication. Past experiences include business development in healthtech startups which played a significant role in expanding her mindset. She is due to start her postgraduate studies at Kings College London from the next academic year with a focus on Intelligence in the Faculty of War. On another note, during undergrad her extra-curricular activity of being a sponsored athlete allowed her to achieve the title of National IFBB Body-Fitness champion. In conjunction with her career path, her capacity extends into writing as she is currently a columnist for the Trinidad Guardian.

Rajeev Ratan

Rajeev Ratan

Research Member: 22-05-2020

mail@rajeevratan.com

B.Sc. Electrical and Computer Engineering – The University of The West Indies

M.Sc. Artificial Intelligence – The University of Edinburgh


Rajeev Ratan is a Data Scientist who obtained his MSc. in Artificial Intelligence from the University of Edinburgh and a BSc. in Electrical and Computer Engineering at the University of the West Indies. He has worked in several London tech startups as a Data Scientist, Computer Vision specialist, and Software Developer. He was a cohort member of Entrepreneur First, a London based startup incubator where he was the co-founder of an Edtech startup. Later on he worked in tech-startups involved in the Real Estate and e-Gambling sectors. He has created several online courses on Data Science and Computer Vision on Udemy, Packt Publishing, and Manning Publications. Before venturing into Data Science, Rajeev worked as a Radio Frequency Engineer for 8 years at both TSTT and Digicel. His research interests include Probabilistic Modeling, Deep Learning, and Computer Vision. At present, he works as a Data Science consultant and online course creator.

Simeon Ramjit

Simeon Ramjit

Associate Professional: 01-06-2020

simeonramjit@gmail.com

B.Sc., The University of The West Indies


Simeon Ramjit graduated with a BSc. in Electrical and Computer Engineering from the University of the West Indies St. Augustine campus in 2019, with a specialty in Computer Systems. He is the author of several papers to peer-reviewed journals. He has done work with OpenCV for facial recognition as well as Firebase for a dynamic Progressive Web Application. He is the creator of CoronavirusTT, a website to provide statistic tracking, data visualization and push notifications to keep persons informed about the pandemic in T&T. His current pursuits lie within machine learning, web development,cloud computing, circuit design and the holistic development of lives in Trinidad and Tobago.

Karesia Ramlal

Karesia Ramlal

CIBC FCIB Project: 05-07-2020

karesia.ramlal@gmail.com

B.Sc., The University of Waterloo


Karesia is currently pursuing her M.Sc. in Data Science at the University of the West Indies. She also attended the University of Waterloo, Canada, where she obtained a bachelor’s degree in Chemistry. Previously, she has worked as a research assistant in the Department of Chemical Engineering, Petroleum Studies Unit (UWI) with focus on a feasibility study for carbon capture and storage (CCS) projects using depleted oil and gas fields in Trinidad. During the second year of undergrad, she was part of a biotechnology research lab in the Department of Chemical Engineering (UW) where she designed experiments and analysed chromatography (HPLC) data to illustrate relationships between experimental conditions and percentage of protein aggregation. Her interests include Machine Learning, Statistics and Materials Science. In her spare time, she enjoys diy projects and knitting.

Aqeel Mohammed

Aqeel Mohammed

CIBC FCIB Project: 06-07-2020

aqeel.mohammed.eng@gmail.com

B.Sc., The University of the West Indies


Aqeel Mohammed is a graduate from the Electrical and Computer Engineering Department of the University of the West Indies where his key focus was on FPGA systems with a final year project developing a “Gunshot Detection System for the Ministry of National Security”. This chef turned engineer attempts to embody the term “jack of all trades” having worked in a variety of fields from farming, robotics, education and Photovoltaic Engineering. Currently he is pursuing a masters in Data Science and NABCEP PV engineering certifications. His immediate goal is to break into the data science and renewable energy industries, establishing a renewable energy company built by wiremen he previously trained. His overarching goal however is to leverage a diverse portfolio of technical knowledge to better serve Trinidad and
Tobago in tandem with TTLAB.