Dr Asra Aslam is incoming Assistant Professor of Data Science and AI at University of Sheffield, UK. She is currently Research Fellow and Machine Learning Lead @DynAIRx, University of Leeds (UoL), UK. She is also Principal Investigator (PI) at Alan Turing institute in collaboration with Industry “Transport for London TfL” and also Honorary Visiting Researcher at Newcastle university, UK. She is also currently “Founder & Director” of start-up “YourAlly”. She is currently leading research & development of Machine Learning models on DynAIRx project, teaching AI/ML in Health Sciences department, and supervising Masters and PhD students. Her research interests are Computer Vision, Machine Learning, Smart Cities, and Health Sciences. Before joining UoL she worked in industry for 2 years as a “Machine Learning Research Scientist” at Manchester, UK. She completed her Ph.D. in 2021 from the Insight Centre for Data Analytics, University of Galway, Ireland. Previously, she also worked as a Lecturer in the Dept. of Computer Engineering, ZHCET, India where she completed her Masters and Bachelor’s. She is recipient of Global Talent Endorsement (with Exceptional) by UKRI, Science Foundation Ireland (SFI) Fellowship, GATE, IDB, and other awards. She authored over 27 research publications, receiving more than 1300 citations, an H-index of 8 (Google Scholar), and a Field-Weighted Citation Impact of 5.43 (Scopus). She also served as an Area Chair and Program Committee in multiple leading international conferences and journals including IEEE Access, ICML, NeurIPS (WiML), CVPR (WiCV), ICML, AISTATS, MTAP Journal, SyntheticData4ML, Journal of Communication System, Imaging Science Journal, IEEE Transactions etc. She is on Editorial Board of Springer Nature Journal, and Guest Editor for Special Issue on MDPI Journal of Imaging. She is also Co-PI on multiple funding grants including NIHR Team Science, Alan Turing, Horizon, AIM-RSF, UKRI CDT etc. She is General Chair for Women in Computer Vision (WiCV) and organized multiple workshops in conferences like IEEE/CVF CVPR in US, Canada, and Europe and provide funding to >100 Early Career Female Researchers through sponsorships. She is also Academics AI Lead UK for Women in AI (WAI >10,000 members). Due to her commitment in promoting STEM in diverse communities in last 4 years and contributions in science, she got declared as “Highly Commended” winner for Women of the Future Awards, UK in Nov 2023, Top-5 Finalist of Digital Technology Leaders Award and Women In Tech Excellence Awards, and included among Top-30 Rising Stars in the UK. Recently, her research of 2 years got shortlisted among one of the top-2 finalists for the prestigious ‘Hildi Franke Award’ for her contributions in medical domain and will be utilised in primary-care/hospitals and NIHR based projects in UK.