Mohsen Ali is an Associate Professor at Department of Computer Science of  Information Technology University. He is co-founder of Intelligent Machines Lab at ITU and heads Computer Vision Research Group. He received his doctoral degree from the Department of Computer and Information Science and Engineering, the University of Florida in 2014. Previously he received his MSc and MS in Computer Science degrees from Punjab University College of Information Technology and Lahore University of Management Sciences respectively. He is a Fulbright Scholar.

His research interests lie in the areas of Computer Vision and Machine Learning, specifically Deep Learning and sparse representation. Some of the research problems he is pursuing are satellite/aerial imagery analysis (research page), affective computing (research page) and multi-image co-segmentation.

Teaching

Fall 2021 : Computer Vision
Spring 2021 : Deep Learning
Fall 2020 : Neumarical Analysis
Spring 2020 : Deep Learning
Fall 2019 : Computer Vision
Spring 2019 : Deep Learning
Fall 2018 : Computer Vision
Spring 2018: Deep Learning
Fall 2017 : Computer Vision

Dr. Younis is Associate Professor in the Department of Electrical Engineering, Information Technology University (ITU), Lahore, Pakistan. Previously, he has worked as an Assistant Professor at the School of Electrical Engineering & Computer Science, National University of Sciences & Technology (NUST), Islamabad, Pakistan, and as a research fellow in the Department of Electrical and Computer Engineering, National University of Singapore, Singapore.
​He has authored papers in leading peer-reviewed journals, and has presented in several international conferences. He is a member of the Institute of Physics, and is a registered engineer at the Pakistan Engineering Council.​

Dr. Rehan Hafiz has over eight years of R&D experience in the area of Digital Embedded Systems, Design of architectures for hardware accelerators and applied Vision &  Image Processing. Earlier, he founded the Vision Image & Signal Processing (VISpro) Lab at School of Electrical Engineering & Computer Science, NUST in 2011. Under his leadership, VISpro lab set up a joint collaboration with South Korea’s premium research organization, Electronics and Telecommunication Research Institute (ETRI), South Korea, to develop a state of the art Ultra High Definition (UHD) Panorama Generation and Multi Projector Rendering System. Such UHD based ultra-wide angle displays hold the future for next generation immersive displays. Technologies based on UHD content & projection systems shall find place in upcoming home theaters & television broadcasting systems. UHD-TV consists of extremely high resolution imagery and multichannel sound to give viewers a stronger sensation of presence. He and his team filed 7 US and Korean Patent applications, out of which two patents have already been accepted. Dr. Rehan has published several journal and conference articles related to custom processor design, approximate computing, application specific processor designing, video stabilization & multi projector rendering.

To know more about VISpro lab, log on to  http://vispro.itu.edu.pk/

Dr. Junaid Qadir is a Professor at the Information Technology University (ITU) of Punjab in Lahore, Pakistan. He is the director of the IHSAN Lab. Before joining ITU in December 2015, he was associated with the School of Electrical Engineering and Computer Science (SEECS) of the National University of Sciences and Technology (NUST) for more than 7 years. He completed his Ph.D. from the University of New South Wales (UNSW), Australia, in 2008, and Bachelors in Electrical Engineering from the University of Engineering and Technology (UET), Lahore, Pakistan. He has published more than 100 peer-reviewed articles at various high-quality research venues including more than 50 impact-factor journal publications at top international research journals including IEEE Communication Magazine, IEEE Journal on Selected Areas in Communication (JSAC), IEEE Communications Surveys and Tutorials (CST), and IEEE Transactions on Mobile Computing (TMC). He was awarded the Higher Education Commission’s (HEC) Best University Teacher Award—the highest national teaching award in Pakistan—for the year 2012-2013. His research interests are in the areas of computer systems and networking; applied artificial intelligence (AI) and machine learning (ML); healthcare informatics; engineering education; ethics for technology; AI ethics; and using ICT for development (ICT4D). In 2020, his project proposal won an award from Facebook Research Ethics in AI Initiative for the Asia Pacific. He is a senior member of IEEE and ACM and has been appointed as an ACM Distinguished Speaker (2020 to 2022).

Dr Arif Mahmood is currently a Professor of Computer Science, Director Computer Vision Lab and Controller of Examination at Information Technology University, Lahore, Pakistan. He has also worked as “Computer Vision Consultant” with King Abdulaziz University, Jeddah, Saudi Arabia and Huazhong University of Science and Technology, China in 2021. Before joining ITU, he served as a Research Assistant Professor at the School of Computer Science and Software Engineering, and later at the School of Mathematics and Statistics in University of the Western Australia from 2012-2015. Previously, he was an Assistant Professor at the Punjab University College of Information Technology from 2008-2012. He also worked as a Postdoctoral Researcher at the College of Engineering in Qatar University from 2015-2018. In 2015 he successfully authored Linkage Project grant from Australian Research Council (ARC): “Machine Learning for Fracture Risk Assessment from Simple Radiography” with industry partners.

He has excellent teaching and research experience at several national and international Universities. He has also conducted a three-day seminar course in 2021 on Computer Vision research in Guangdong University of Petrochemical Technology, China. He was Program Committee member in FIT 2017 and in International Workshop on “Robust Subspace Learning and Applications in Computer Vision” in conjunction with ICCV 2017, ICCV 2019, and ICCV2021. His major research interests include data clustering, classification, action and object recognition using image sets. He has also worked on computation elimination algorithms for fast template matching, video compression, object removal and image mosaicking. At the School of Mathematics and Statistics UWA, he worked on community detection in complex networks.

He has been publishing extensively in prestigious journals including IEEE TPAMI, IJCV, MEDIA, IEEE TIP, IEEE TCSVT, IEEE TCC, IEEE TSC, Information Fusion, and IEEE TKDE. He has presented his work at over 17 conferences worldwide including very prestigious conference such as CVPR, ECCV, ACCV, BMVC, and WACV.  His previous profile can be accessed at UWA, his citations can be seen at Google Profile, his reviewer history at Publons, published research articles at Research Gate, and professional linkages at LinkedIn.

Dr. Tauseef Tauqeer earned B.E. degree in Electronics Engineering from Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI), Swabi, Pakistan in 2005. He acquired his M.Sc. degree in Communication Engineering and the Ph.D. degree in Microelectronics and Nanostructures, both from The University of Manchester, U.K, in 2006 and 2009, respectively at the young age of 25 years. During his studies, he was involved in the design and fabrication of InP-based low-power gigahertz-class Analog-to-Digital converters for the international Square Kilometre Array (SKA) radio telescope. As a result of his outstanding performance and research, he was conferred the award of the Best PhD student of Microelectronics and Nanostructure research group at the University of Manchester in 2008.

He has previously served as the Head of Department of Electronics, Power and Control in the School of Electrical Engineering and Computer Sciences (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan. He has received the Best Teacher Award for the academic year 2013-14 at NUST-SEECS. He is also a member of National Curriculum Review Committee (NCRC) in Electronics Engineering, Higher Education Commission (HEC) of Pakistan for 2014-15.

Dr. Adnan holds a PhD in Computer Engineering from the Sapienza University of Rome, Rome, Italy and has also been a post-doc visiting researcher in the same university twice. He also holds a postdoctoral fellowship from University of Cambridge, United Kingdom. In 2020 he was selected Senior Associate in the International Centre of Theoretical Physics (ICTP), Trieste, Italy in the field of Network and Internet of Things (IoT) for 6 years. This is the first time that ICTP has selected an associate in this field.

Broadly his research interests include wireless sensor and ad hoc networks, Internet of Things (IoT), distributed algorithms, mobile and distributed systems, and cloud computing. He is also working on Blockchain, Network and cyber Security, intrusion detection systems, network monitoring, penetration testing and machine learning applications in these fields. He has also worked on exploiting vehicle’s Electronic Fuel Injection (EFI) sensors using onboard diagnostics protocols for vehicle’s performance measurements, drivers’ profiling, etc. He has published more than 50 research papers in well reputed conferences and journals in these areas. In addition to research, he is also assisting the research community by serving in a number of technical program committees of national and international conferences and reviewer of many international journals and government project proposals.

He is the director of Internet of Things and Security Lab in ITU. This lab engages BS, MS and PhD students for doing research in the field of IoT, network and cyber security. He is one of the Co-PIs of the Blockchain Security Lab at Information Technology University which received a grant of PKR 80 million. In addition to collaborating with a number of national and international researchers, he is also closely in contact with Punjab Information Technology Board (PITB) and Punjab Safe Cities Authorities (PSCA) to see the possibilities of collaborations and also engaging students on real world problems faced by these organizations.

Dr. Adnan is an HEC PhD approved supervisor. He has been mentoring a number of MS and PhD computer science students. He has taught a variety of courses at graduate and undergraduate level including Internet of Things (IoT), Internet Measurements, Cyber Security, Advanced Topics in IoT, Parallel and Distributed Algorithms, Special Topics in Networks, Distributed Systems, Computer Networks, Digital Logic Design and Electronics at Information Technology University, Lahore, National University of Computer and Emerging Sciences (FAST-NU) Lahore, Sapienza University of Rome and Aitchison College, Lahore. In 2016 he was awarded the Frogh-e-Taleem Award from Idara Frogh-e-Taleem (Institute for the Promotion of Education) by the government of Punjab, Pakistan as an acknowledgement to the services in education. Later in 2017 he was awarded by the Chief Minister of Punjab, Pakistan for his services to the University as one of the founding faculty members and also the founding chairperson of the Department of Computer Science.

For details please view the CV below.

[pdfjs-viewer url=”https%3A%2F%2Fitu.edu.pk%2Fwp-content%2Fuploads%2F2014%2F04%2FAdnan_Noor_MIAN_CV_2022_08_08.pdf” viewer_width=100% viewer_height=1360px fullscreen=true download=true print=true]