Born March 19, 1982
Postdoc Researcher, School of Technology and Health (STH), KTH Royal Institute of Technology, Stockholm, Sweden
Nazre was awarded the IEEE R8 WIE Clementina Saduwa award for 2016.
Clementina Saduwa was a tireless and extremely effective volunteer student leader a few years back from IEEE Nigeria Section. In January 2007, she was killed in a random act of violence at the age of 29. To honor her memory, IEEE Women in Engineering (WIE) have named the award for the recognition of woman engineers in Region 8 who, through their engineering and career achievements, have demonstrated noteworthy support for women in the profession and have established a benchmark of engineering excellence. The award also acknowledges the challenges and obstacles the awardee had to face in her career.
Nazre is an IEEE and IEEE WIE member. She is also a member of IEEE Signal Processing Society (SPS) and IEEE Engineering in Medicine and Biology Society (EMBS).
Nazre received her PhD degree in Electrical Engineering from the University of Maryland, College Park, USA in 2014 with the specialization in signal processing and research focus on computer vision and pattern recognition. Her PhD studies were funded by the prestigious 5 years USA Fulbright PhD scholarship. Her doctoral research was novel and complementary to the mainstream research in facial analysis where she worked on the analysis of facial micro-features specifically wrinkles for different applications in computer vision such as localization, inpainting, soft biometrics and monitoring. Her research highlighted the effectiveness of facial micro feature analysis and resulted in 2 first-authored journal publications, 4 first-authored conference publications and a book chapter.
After completing PhD, she moved to Europe and joined AYIN team at INRIA Sophia Antipolis in February, 2014, where she advanced her research on facial micro feature analysis in collaboration with an industrial partner. In a career move to pursue research in medical imaging, Nazre joined the Center for Medical Image science and Visualization (CMIV) at Linköping University, Sweden in June 2015. Her research at CMIV was conducted in close collaboration with the pathology department, University Hospital Linköping, and with the industrial partner, Sectra AB, in the area of digital histopathology. Her work focused on finding spatial patterns in digital liver steatosis biopsy slides as biomarkers. At CMIV, she has also contributed towards the statistical analysis of Diffusion Tensor MRI to model fibers in the brain white matter. At present, she is a post-doc at the School of Technology and Health (STH), KTH Royal Institute of Technology, Stockholm, Sweden, where she is working on medical applications in collaboration with the Karolinska Institute of Sweden.
Nazre comes from a small northeastern city, Jhelum, of Pakistan. She received her B.Sc. degree in Electrical Engineering from the University of Engineering and Technology, Lahore, Pakistan in 2004. After working as a researcher for some time in Lahore, she secured a graduate fellowship and moved to Malaysia in 2005 for her postgraduate studies at Universiti Teknologi PETRONAS, Tronoh, Malaysia. Her Master’s research was conducted in collaboration with the dermatological department, General Hospital, Kuala Lumpur and focused on the image-based analysis of skin lesions for Psoriasis patients. Her research included the acquisition and analysis of 3D skin surface textures using 3d laser scanners and generative image modeling techniques. She received here M.Sc. degree in Electrical and Electronics Engineering from Universiti Teknologi PETRONAS, Tronoh, Malaysia in 2008.
Nazre’s long term career goal is to establish herself as an inter-disciplinary researcher (focusing on medical imaging), based in academia and providing cutting-edge computer vision solutions to industry. A cherished achievement for her would be to develop or be a part of cross-border and cross-discipline research collaborations specifically providing the academic and research supervision of an international level to Pakistani students.