\n
\n \n \n
\n
\n
\n 
\n {/* 
*/}\n 
| \n | \n
| \n \n \n Professor M. Asif Naeem \n Founder and Director\n Professor Muhammad Asif Naeem is founder and director of Data Insight Lab at National University FAST, Islamabad.\n He is also founder of Data Science Research Group (DSRG) at Auckland University of Technology, New Zealand. His research interests include Data Science,\n Big Data Management, Data Mining and Machine Learning, Active Databases and Data Warehousing. Click to read more about him. \n | \n
Our research spectrum is in data and knowledge engineering. We invite you to study your PhD with us.
\n FIND OUT MORE \n {/* FIND OUT MORE */}\nData science is an area of extensive research as new applications are emerging from Industry.
\n FIND OUT MORE \n {/* FIND OUT MORE */}\n| \n\n | \n
| \n \n \n Professor Dave Parry\n\n Professor Dave Parry PhD, is head of the IT, Media and Communications discipline at\n Murdoch University, Perth. His research interests include Ontologies and fuzzy logic, Health\n informatics and computer-based Activity detection in the context of health, wellness and\n procedural error. He is particularly interested in how machine-learning and knowledge-based\n approaches can be used to make a difference in clinical outcomes\n \n {/* Dave's Website */}\n\n | \n
| \n\n | \n
| \n \n \n Dr Farhaan Mirza\n\n Dr Farhaan Mirza is director of Data Science Research Group (DSRG) at Auckland University of Technology. He is senior lecturer in the department of IT & Software Engineering at Auckland University of Technology. Farhaan’s passion is to use Internet of things (IoT), mobile apps, web technologies along with big data to develop applications for public sector development, specifically towards domains of healthcare, transportation, education, and telecommunications\n \n {/* Farhaan's Website */}\n\n | \n
| \n\n | \n
| \n \n \n Dr Roopak Sinha\n\n Dr Roopak Sinha (Ph.D. ’09, MCE ’16, BE (Hons) ’03, SFHEA ’17) is the Head of the Department of Computer Science and Software Engineering at Auckland University of Technology, New Zealand. Roopak’s primary research interest is ‘‘Systematic, Standards-First Design of Complex, Next-Generation Software’’ applied to domains like Internet-of-Things, Edge Computing, Cyber-Physical Systems, Big-Data, Home and Industrial Automation, and Intelligent Transportation Systems.\n \n {/* Roopak's Website */}\n | \n
| \n\n | \n
| \n \n \n Dr Gerald Weber\n\n Dr Gerald Weber is Senior Lecturer in the Department of Computer Science at The University of Auckland. He joined The University of Auckland in 2003. Gerald holds a PhD from the FU Berlin. He is information director of the Proceedings of the VLDB Endowment, and he has been program chair of several conferences. He is co-author of the book “Form-Oriented Analysis”, and of over 40 peer-reviewed publications.\n\n \n {/* Gerald's Website */}\n\n | \n
| \n\n | \n
| \n \n \n Rizwan Asghar\n\n Auckland (UoA). He holds a PhD degree from the University of Trento (Italy). As part of his PhD programme, he was a Stanford Research Institute Fellow at SRI International, California, USA. Prior to joining UoA, he was a Postdoctoral Researcher at international research institutes including CISPA (Germany) and CREATE-NET (Italy). During his career, he also worked as a Software Engineer at international software companies. His research interests include access control, cybersecurity, privacy, and applied cryptography.\n\n \n {/* Gerald's Website */}\n\n | \n
| \n\n | \n
| \n \n \n Dr Ali Tahir\n\n Dr Ali did his PhD in Geoinformatics from the School of Computer Science and Informatics at University College Dublin, Ireland. His research activities include implicit feedback analysis, Geo-visualisation, and Web GIS. Currently he is serving as an Assistant Professor at IGIS-NUST and also heading GIS Mobility Lab as part of NUST Interdisciplinary Cluster for Higher Education (NICHE).\n \n | \n
| \n\n | \n
| \n \n \n Dr Syed Omer Gilani\n\n Dr. Gilani is a tenured Associate Professor and Head of the Department at Biomedical Engineering and Sciences in NUST. He has generated over 4 MPKR in consultancy and has research funding of over 10 MPKR, including one HEC NRPU project. He has published over 100 research papers, 4 book chapters, and 1 US patent and has H-index of 18. His research interests include computer vision, medical signal and image analysis, machine learning, computer graphics, control systems, and electronics.\n \n | \n
| \n\n | \n
| \n \n \n Benjamin Denham\n\n Benjamin is a PhD candidate at the AUT undertaking industry-based research into machine learning methods that leverage domain expertise to compensate for imperfect training datasets. His research interests include natural language processing, interpretable models, weak supervision, and machine learning with small or otherwise limited datasets. Benjamin's background is in software engineering, with 10 years of industry experience in web application development.\n \n | \n
| \n\n | \n
| \n \n \n Waruni Hewage\n\n Waruni Hewage is a PhD student at the Auckland University of Technology. She is working on topic “Balancing the accuracy of data and people’s right to privacy” under the supervision of Associate Professor Roopak Sinha, Professor Edmund Lai and Professor Muhammad Asif Naeem. The primary goal of her research is to generate a framework to optimise the trade-off between privacy and accuracy to help users achieve good accuracy while maintaining the privacy of the data.\n \n | \n
| \n\n | \n
| \n \n \n Darsha Jayamini\n\n Darsha Jayamini is a PhD student at the Auckland University of Technology, New Zealand. The topic of her PhD is “ ”. She earned her bachelor’s degree specialized in Computer Science with a first class from the University of Kelaniya, Sri Lanka.\n She is also working as a Lecturer (Probationary) in the Department of Software Engineering, Faculty of Computing ad Technology, University of Kelaniya, Sri Lanka. Becoming an outstanding researcher and academic is her goal.\n\n \n | \n
| \n\n | \n
| \n \n \n Rashi Bhalla\n\n Rashi is a PhD student at the Auckland University of Technology, New Zealand. She is specializing in distributed data stream mining and is working towards building a prediction model for Asthma. Her interests are in Data Mining and Machine Learning.\n \n | \n
| \n\n | \n
| \n \n \n Waheed Ashraf\n\n Muhammad Waheed Ashraf is a PhD scholar at National University of Computer and Emerging Sciences (NUCES), Islamabad. He has worked as Research Assistant on a project “Deep Basket Analysis” where he developed his expertise in the areas of Data Mining, Machine Learning, and Computer vision. He has good expertise and understanding of domain knowledge required in this project.\n \n | \n
| \n\n | \n
| \n \n \n Zaeem Ahmad\n\n Assistant Director in Ministry of Science and Technology, Pakistan Engineering Council. Graduated in computer sciences from COMSATS Islamabad then did his master’s in computer sciences from NUCES-FAST and currently a PHD scholar in NUCES-FAST.Worked as professional software developer since 2008 and worked in various private and government organizations. With his accomplished career he is also interested in deep neural architectures for predictive and descriptive analytics. He has worked on different projected related to practical software development developed in different languages i.e., PHP, C# and SQL, .NET, Laravel & Yii.\n \n | \n
Data science is an area of extensive research as new applications are emerging from industry with requirements for real time data analysis of data streams that arrive with high speed, high data volume and in a variety of data formats. Terabytes, even petabytes of data are generated each day in diverse formats such as structured data, plain text data, imaging data, audio and video data.\n The lab is strongly involved in doing research in areas such as Big Data Management, Data Mining & Machine Learning, Social Data Analytics, and Computer Vision. \n The application areas where research carried out by the lab is being applied are Smart Business, eHealth, Computational Sport Science, Telecommunication, Social Network, Power and Electricity and City Planning.\n The primary goal of the lab is to design and implement new algorithms that will use a data driven approach to knowledge extraction and prediction of future behaviour.
\n{researchSpectrum[activeIndex]}
\n{post.info}
\n {\n post.webLink !== '' && post.webLink !== undefined &&\n FIND OUT MORE\n }\n {\n post.videoLink !== '' && post.videoLink !== undefined &&\n WATCH VIDEO\n }\nLearn about the areas of research and methodologies used by the Data Science Research Group.
\n FIND OUT MORE \n {/* FIND OUT MORE */}\n
Data Science is poised to become one of the most intensively research areas of Computer Science discipline. The Data Insight Lab at National University FAST, Islamabad focuses its research in all areas of Data Science such as Data Mining & Machine Learning, Big Data Management, Social Data Analytics, Internet of Things (IoT), and Computer Vision. We are working on cutting edge developments in these areas.
\n| \n\n | \n
\n Our Projects\nRead about our latest research projects and research partners. \n | \n
| \n\n | \n
\n Our Research\nWe focus our research in all aspects of Data science. Click to read more details. \n | \n
| \n\n | \n
\n Study with us\nIf you have ambition to work on a real problem in your Master or PhD, do contact us. Click to read more details. \n | \n
{post.info}
\n {\n post.webLink !== '' && post.webLink !== undefined &&\n FIND OUT MORE\n }\n {\n post.videoLink !== '' && post.videoLink !== undefined &&\n WATCH VIDEO\n }\nClick to contact us for any of your query about research and study.
\n\n Our engagement with prestigious industry partners and the\n community has led to production of several research projects\n across multiple application domains. The lab members\n with international research collaborators have successfully\n completed a number of joint ventures and presently are engagged\n on following projects that stretch across our research\n streams. The discovery of data sciences within big data is a\n topical issue in industry and academia. Data Insight lab invites students, researchers,\n and companies to explore the opportunities of collaboration and study. To\n discuss any potential projects please contact us.\n
\n\n {\" \"}\n Data science is an area of extensive research as new\n applications are emerging from Industry.\n
\n 0pt\",\n paddingRight: \">0pt\",\n }}\n >\n {\" \"}\n FIND OUT MORE{\" \"}\n \n| \n \n \n  \n | \n
| \n \n \n  \n | \n
| \n \n \n  \n | \n
| \n \n \n  \n | \n
| \n \n \n  \n | \n
| \n \n \n  \n | \n
| \n \n \n  \n | \n
| \n \n \n  \n | \n
| \n \n \n  \n | \n
| \n \n \n  \n | \n
| \n \n \n  \n | \n
| \n \n \n  \n | \n
{work.data}
\n{work.data}
\n{work.data}
\n{work.data}
\nOur research spectrum covers all disciplines of Data Science. If you are interested to do your Master or PhD in any of the following areas, this lab is a best choice for you.
\nA look at the projects and staff pages should give you an idea of other projects that we research on. If any of them are of interest to you, then plaease feel free to get in touch
\nData Insight Lab supports the members to fund for the following aims
\nPlease look at the guidelines and cafetaria [PDF, 179.3 KB] before applying
*/}\nNote: Application will be entertained only if funds are available
\nKindly email us or simply leave a message on the contact us page and we'll get back to you.
\n {/*\nFees: $7,016 (plus up to $5000 conference costs)
\nDetails: Temporal and spatial pattern extraction from low to high quality videos, Towards real-time fusion for\n wearable and ubiquitos computing devices. See more here and in this page
\nContact: Dr. Muhammad Asif Naeem
\nApply now
\nA fully funded PhD position is available under the Data Insight Lab at the University of Computing and Emerging Sciences (NUCES).\n For details please visit the scholarshipt page
\nContact: Dr. Muhammad Asif Naeem
\nApply now
\nIn addition, there are various scholarships on offer by NUCES and Pakistan Government every year for both local and\n international students. FOr detials, visit NUCES scholarships and awards. You can also Pakistan International Doctoral Research Scholarships
\n\n {\" \"}\n Data science is an area of extensive research as new\n applications are emerging from Industry.\n
\n 0pt\",\n paddingRight: \">0pt\",\n }}\n >\n {\" \"}\n FIND OUT MORE{\" \"}\n \n![\"\"](\"images/Animation.gif\")
\n } */}\n {show &&\n