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
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
Inzamam Rahaman and Patrick Hosein
Future Technologies Conference, Vancouver, British Colombia, Canada
Nov, 2017
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
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
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
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
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
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
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
I.Rahaman and P. Hosein
Latin American Conference on Computational Intelligence, Cartagena, Columbia
Nov, 2016
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
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
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
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
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
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
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
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
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
Ramneek, P. Hosein, W. Choi and W. Seok
Journal of Communications and Networks
June, 2016, vol18
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
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
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
Ramneek, P. Hosein, C. Wonjun, S. Woojin
Republic of Korea
Nov, 2016
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
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
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
Ramneek Sekhon, P. Hosein, W. Choi, W. Seok
KNOM Review, vol 18
Aug, 2015
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
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 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 Applied Data Science, Operations Research and Performance and Pricing Optimization for Cellular Networks
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.
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.
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.
B.Sc., The University Of The West Indies
My name is Shannon-Rae and I am passionate about combatting climate change while ensuring energy security. I am a postgraduate student at the University of Trinidad and Tobago pursuing an M.Sc. in Energy Engineering with a specialisation in Renewable Energy. I have a B.Sc. in Chemical and Process Engineering from the University of the West Indies. I am very keen to use and enhance my knowledge in the field of data analytics and machine learning to create modern solutions for the energy transition.
B.Sc., The University Of The West Indies
Daniel obtained his Bachelors in Electrical and Computer Engineering with honors from the University of the West Indies. During the earlier part of his degree, he interned at Teleios and Digicel working on various projects. During his third year he interned at IBM TJ Watson Research Center in Yorktown Heights in New York, USA. There he worked on projects involving AI and augmented reality. Upon completion of his internship, he published and presented his research project at the 2019 International Conference on AI and Mobile Services in San Diego, USA. Daniel has participated in a few competitions including Teleios Code Jam where his team won and the Bmobile Connect Coding Competition where his team placed second. After graduation Daniel worked at a startup on projects involving facial recognition, text extraction and facial comparison. He is currently pursuing his Masters in Data Science at the University of the West Indies and has hobbies including photography, traveling, and reading.
Tamia-Ashley is a final year undergraduate Computer Science and Mathematics student at the University of the West Indies. Ms Tuitt has a great interest in Data Science strategies to improve the provision of health care services throughout the Caribbean. Given her expertise in physical fitness as a powerlifter, bodybuilder and certified personal trainer, she aims to revamp and advance the Caribbean health care system to exemplify efficiency with a high quality of care and transparency. Tamia-Ashley is also working toward developing a mental health platform for individuals seeking help within the Caribbean region, where there is a stigma toward mental illness. Ms. Tuitt’s overarching goal is to give rise to a healthier and more active Caribbean through Data Science.
B.Sc., The University Of The West Indies
Sabina is currently pursuing her masters in Data Science at the University of the West Indies. She graduated with a major in Math and minors in Economics and Statistics(UWI). Her interests are in statistics, data analytics and machine learning. Sabina is a foodie who loves travel and meeting new people.
B.Sc., University of South Florida
Mercedes has more than 8 years’ experience in research. A two-time national scholarship awardee, she completed her BSc. in Economics with a double major in Psychology at the University of South Florida in Tampa and her MSc. in Psychology at Maastricht University in the Netherlands. During her studies, she conducted research in the areas of executive function and self-control as well as in refugee integration. Currently, she is a student of the MSc. in Data Science programme. She also works as an Educational Research Officer at the Ministry of Education where she analyses student performance data and conducts studies to identify factors contributing to student success. Her research interests include behavioural data science, decision-making, and the application of data science to human and social development. Apart from research, she speaks fluent Spanish and enjoys travelling and doing yoga in her spare time.
MPhil – The University of the West Indies
B.Sc. – The University of the West Indies
Johnny Tiu obtained his BSc & M.Phil in Mechanical Engineering at the University of the West Indies (UWI), St. Augustine with a focus on structural vibration and rotor-dynamic faults. As a Research Assistant at UWI he formally outlined and developed the methodologies that undergraduate students & fellow researchers use to collect vibration data and a tool to semi-automate vibration testing. Under mentorship from Professor Hosein, he placed second in the University category for Shell.ai’s Hackathon for Sustainable and Affordable Energy, which was to optimally place EV charging stations such that the configuration is robust to demographic changes. His research interests are Data Analysis, Vibration Control, and Acoustics. His hobbies include 3D printing & prototyping, musical instruments (guitar, violin, piano, etc.), and cooking.
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.