The Impact of Low Electricity Prices on Renewable Energy Production
Robert Martinez and Patrick Hosein
International Conference on Green Energy for Sustainable Development, Phuket, Thailand
Oct, 2018
A Unique Approach to Demand Side Management of Electric Vehicle Charging for Developing Countries
A Unique Approach to Demand Side Management of Electric Vehicle Charging for Developing Countries
Sanjay Bahadoorsingh, Chris Meetoo, Chandrabhan Sharma and Patrick Hosein
IEEE International Smart Cities Conference, Kansas City, USA
Sept, 2018
A Method for Learning Representations of Signed Networks
A Method for Learning Representations of Signed Networks
Inzamam Rahaman and Patrick Hosein
14th International Workshop On Mining and Learning with Graphs, London, United Kingdom
Aug, 2018
On the Problem of Multi-Staged Impression Allocation in Online Social Networks
On the Problem of Multi-Staged Impression Allocation in Online Social Networks
Inzamam Rahaman and Patrick Hosein
Machine Learning Techniques for Online Social Networks (Springer Publication)
June, 2018, pg 65-84
On the Distributed Optimization of Calendar Events
On the Distributed Optimization of Calendar Events
Steffan Boodhoo and Patrick Hosein
The 10th International Workshop on Computational Intelligence & Applications 2017, Hiroshima, Japan
Nov, 2017
Constant Time, Fixed Memory, Zero False Negative Error Logging for Low Power Wearable Devices
Constant Time, Fixed Memory, Zero False Negative Error Logging for Low Power Wearable Devices
Saffiyah Doolan, Nicholas Hosein, Patrick Hosein and Devika Bhagwandin
IEEE Conference on Wireless Sensors, Sarawak, Malaysia
Nov, 2017
Exploiting Gaussian Word Embeddings for Document Clustering
Exploiting Gaussian Word Embeddings for Document Clustering
Inzamam Rahaman and Patrick Hosein
Future Technologies Conference, Vancouver, British Colombia, Canada
Nov, 2017
Emerging Network Technologies and Network Neutrality Conformance
Emerging Network Technologies and Network Neutrality Conformance
Ramneek Sekhon, Patrick Hosein, Woojin Seok and Jaiseung Kwak
19th Asia-Pacific Network Operations and Management Symposium, Seoul, South Korea
Sept, 2017
Exploiting Gaussian Embeddings for Directed Link Prediction
Exploiting Gaussian Embeddings for Directed Link Prediction
Inzamam Rahaman and Patrick Hosein
13th International Workshop On Mining and Learning with Graphs, Halifax, Nova Scotia, Canada
Aug, 2017
Quality of Service Framework for Supporting Next Generation Mobile Services
Quality of Service Framework for Supporting Next Generation Mobile Services
Ramneek , P. Hosein, W. Choi and W. Seok
Journal of Advanced Research in Dynamical and Control Systems
July, 2017, vol 08-Special Issue, 2017
Association Rule Mining of Household Electrical Energy Usage
Association Rule Mining of Household Electrical Energy Usage
Devika Bhagwandin, Vrijesh Tripathy and Patrick Hosein
ACM International Conference on Data Mining, Communications and Information Technology, Phuket, Thailand
May, 2017
Load Forecasting using Deep Neural Networks
Load Forecasting using Deep Neural Networks
S. Hosein and P. Hosein
IEEE Eighth Conference on Innovative Smart Grid Technologies (ISGT), Washington DC, USA
April, 2017
Cyclic Beam Switching for Smart Grid Networks
Cyclic Beam Switching for Smart Grid Networks
P. Hosein, L. Girod-Williams and C. van Rensburg
8th IFIP International Conference on New Technologies, Mobility and Security (NTMS), Larnaca, Cyprus
Nov, 2016
Location Obfuscation using Smart Meter Readings
Location Obfuscation using Smart Meter Readings
K. Maharaj and P.Hosein
IEEE 3rd Internatonal Conference on Advances in Computung & Communication Engineering, Durban, South Africa
Nov, 2016
On the Multi-Stage Influence Maximization Problem
On the Multi-Stage Influence Maximization Problem
I.Rahaman and P. Hosein
Latin American Conference on Computational Intelligence, Cartagena, Columbia
Nov, 2016
Efficient Sentiment Classification of Twitter Feeds
Efficient Sentiment Classification of Twitter Feeds
N. Chamansingh and P. Hosein
IEEE International Conference on Knowledge Engineering and Applications, Singapore
Sept, 2016
Event Scheduling with Soft Constraints and On-Demand Re-Optimization
Event Scheduling with Soft Constraints and On-Demand Re-Optimization
P. Hosein and S. Boodhoo
IEEE International Conference on Knowledge Engineering and Applications, Singapore
Sept, 2016
Application for the Detection of Dangerous Driving and an Associated Gamification Framework
Application for the Detection of Dangerous Driving and an Associated Gamification Framework
K. Bahadoor and P. Hosein
International Conference on Mobile Web and Intelligent Information Systems, Vienna, Austria
Aug, 2016
Heuristics for Advertising Revenue Optimization in Online Social Networks
Heuristics for Advertising Revenue Optimization in Online Social Networks
I. Rahaman and P. Hosein
IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, San Francisco, USA
Aug, 2016
Using MapReduce for Impression Allocation in Online Social Networks
Using MapReduce for Impression Allocation in Online Social Networks
I. Rahaman and P. Hosein
12th International Workshop on Mining and Learning with Graphs, San Francisco
Aug, 2016
Web Application for Power Grid Fault Management
Web Application for Power Grid Fault Management
S. Hosein , P. Hosein , W. Kattick, V. Rattan
IEEE 6th International Conference on Intelligent and Advanced Systems (ICIAS 2016), Kuala Lumpur, Malaysia
Aug, 2016
Quality of Service Support for High Performance Computing on Mobile Devices
Quality of Service Support for High Performance Computing on Mobile Devices
Ramneek, P. Hosein, W. Choi and W. Seok
International Conference on High Performance Computing and Simulation, Innsbruck, Austria
July, 2016
A Review of Human Body Shape Detection Techniques and Their Application to the Prediction of Health Risks
A Review of Human Body Shape Detection Techniques and Their Application to the Prediction of Health Risks
S. Sooklal, P. Hosein and S. Teelucksingh
8th International Conference on e-Health (EH 2016), Madeira, Portugal
July, 2016
Improving Power Generation Efficiency using Deep Neural Networks
Improving Power Generation Efficiency using Deep Neural Networks
S. Hosein and P. Hosein
ICML Workshop #Data4Good: Machine Learning in Social Good Applications, New York, USA
June, 2016
Congestion Detection for QoS-enabled Wireless Networks and its Potential Applications
Congestion Detection for QoS-enabled Wireless Networks and its Potential Applications
Ramneek, P. Hosein, W. Choi and W. Seok
Journal of Communications and Networks
June, 2016, vol18
A Consumer Focused Open Data Platform
A Consumer Focused Open Data Platform
C. Millette, P. Hosein
International Conference on Big Data and Smart City, Muscat, Oman
Mar, 2016
A Study of QoS Support, Performance and Pricing of Mobile Data Plans in the USA and Korea
A Study of QoS Support, Performance and Pricing of Mobile Data Plans in the USA and Korea
Ramneek, P. Hosein, W. Choi and W. Seok
IEEE International Conference on Advanced Communication Technology, Phoenix Park, South Korea
Jan, 2016
Power Grid Fault Detection using an AMR Network
Power Grid Fault Detection using an AMR Network
P. Hosein, S. Hosein, S. Bahadoorsingh
IEEE Smart Grid Technologies Asia Conference, Bangkok, Thailand
Nov, 2015
Cost Production Apparatus and Method Considering Data Usage and Service Quality
Cost Production Apparatus and Method Considering Data Usage and Service Quality
Ramneek, P. Hosein, C. Wonjun, S. Woojin
Republic of Korea
Nov, 2016
TTLAB Mentioned in the Trinidad Guardian
TTLAB was recently covered in an article written by Raymond Ramcharitar in the Trinidad Guardian.
Stochastic Dynamic Programming Model for Revenue Optimization in Social Networks
Stochastic Dynamic Programming Model for Revenue Optimization in Social Networks
P. Hosein, T. Lawrence
IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, Abu Dhabi, United Arab Emirates
Oct, 2015
Detecting network neutrality violations through packet loss statistics
Detecting network neutrality violations through packet loss statistics
Ramneek Sekhon, P. Hosein, W. Choi, W. Seok
17th Asia-Pacific Network Operations and Management Symposium (APNOMS), South Korea
Aug, 2015
Network Neutrality Violation Detection for Streaming Media Traffic in Wired and Wireless Networks
Network Neutrality Violation Detection for Streaming Media Traffic in Wired and Wireless Networks
Ramneek Sekhon, P. Hosein, W. Choi, W. Seok
KNOM Review, vol 18
Aug, 2015
Disruptive network applications and their impact on network neutrality
Disruptive network applications and their impact on network neutrality
Ramneek Sekhon, P. Hosein, W. Choi and W. Seok
17th International Conference on Advanced Communication Technology (ICACT), South Korea
Jan, 2016
Patrick Hosein
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
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.
Nidia Sahjara-Rattan
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.
Kevin Baboolal
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.
Akshay Seedath
Akshay is a final year student pursuing his BSc. Electrical & Computer Engineering, focusing on Communication Systems and Computer Systems. He is a National Open Scholarship recipient and has gained experience working with Data Analytics in Telecoms through both his degree and internship. Akshay also has a keen interest in exploring additional areas, such as Data Science, and aspires to build a career that allows him to apply and expand his skillset across various disciplines. His strengths include analytical skills such as critical thinking as well as attention to detail and impartial judgement. In his free time, Akshay enjoys learning new skills, exploring fantasy games, chess and reading philosophy.