Dr. Umar Saif received his academic training from LUMS, Cambridge and MIT. He received his Ph.D. degree from University of Cambridge (2001) and Postdoctorate from MIT (2002), in Computer Science. Dr Saif worked and taught at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) for four years, where he was part of the core team which developed system technologies for project Oxygen- a US$40 million project sponsored by the US Department of Defense and an industrial Alliance of world-class companies. While at MIT, Dr Saif also managed the multi-million dollar collaboration on future computing technologies between University of Cambridge and MIT sponsored by the Cambridge-MIT Institute (CMI) and a consortium of high-tech companies.
Nabeel Abdur Rehman is a Research Associate in NEWT Lab. His research interests include large-scale Dataset Analysis, Technology for Developing Countries, Health Informatics and Social Media Analysis.
Zain Tariq is a Research Associate at NEWT Lab. His research interests include data science, social media analysis and computing for the developing world.
Fahad Pervaiz was a Research Associate in the NEWT lab, School for
Science and Engineering at LUMS. He has worked in disease epidemoology
for past couple of years. His focus was to detect the outbreaks from the case data as well as disease related internet query data.
Maaz Bin Safeer Ahmad is a Research Associate in NEWT Lab, School for Science and Engineering at LUMS.
He is currently completing his Bachelors Degree in Computer Sciences from NUCES (FAST-NU), Lahore. His primary research interest are in computing
for the developing world, machine learning, artificial Intelligence and systems/networking. His current research focuses on developing health
informatics systems for early disease outbreak detection from internet media sources and cold chain equipment management.
Talal Ahmad is a Research Assistant in NEWT Lab, Computer Science Department at Lahore University of Management Sciences. His research interests are disease epidemiology and he has been working in this area for the past couple of years. His focus has been on disease activity quantification using internet and traditional data sources. He is currently leading various health related projects in NEWT Lab LUMS.
Mansoor Pervaiz was a Research Associate in the NEWT lab, School for
Science and Engineering at LUMS. His primary interest lies in
Operating Systems, Disease epidemiology in the third world and voice
based applications for ICTD and health applications. He has
collaborated with Massachusetts Institute of Technology (MIT),
University of Washington, Seattle, DTree (New York) and is currently
working in collaboration with Carnegie Mellon University (CMU).