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Biography
Armaghan is a senior fellow of higher education academy (SFHEA) and holds a BEng (Hons) degree in Electrical and Electronics Engineering, MSc in Multimedia Computing and PhD in Computer Vision (Hybrid Motion Tracking Systems). She joined Nottingham's School of Computer Science, following her experience as Senior/Principal Lecturer at De Montfort University (DMU) for 17 years. Prior to her academic career, Armaghan worked in industry for a number of years where she held the position of developer and senior software architect.
Her current research work is in applied machine learning ( personalised health and medical image understanding and diagnosis), ambient intelligence for assisted living as well as human computer/machine/robot interaction.
At School of Computer Science,she currently holds the role of Director of Equality, Diversity and Inclusion (EDI) which is to operationalise EDI strategic objectives as well as representing school on Faculty and University EDI boards and activities.
Teaching Summary
COMP4124 - Big Data Learning and Technologies - L3 UG and L4 PGT
COMP2005 Introduction to Image Processing - L2 UG
COMP3010 Communication and Collaboration Technologies - L3 UG and L4… read more
Research Summary
Armaghan's research expertise are in applied machine learning, computer vision, and multimodal human machine/computer interaction in virtual and physical environments. She has led projects with the… read more
Current Research
Armaghan's research expertise are in applied machine learning, computer vision, and multimodal human machine/computer interaction in virtual and physical environments. She has led projects with the theme of personalised healthcare, medical images diagnosis and understanding, semantic segmentation, assisted human-robot interaction, intelligent sensing to develop methods for recognising abnormal data patterns and behaviours in context-aware systems. Armaghan is a member of the UoN's Cyber-physical Health and Assistive Robotics Technologies (CHART) Research Group, where she conducts fundamental and applied research in intelligent cyber-physical systems and robotics technologies to support personalised and assisted health and well-being.
Armaghan has also an interest in innovative pedagogical methodologies for teaching and learning. Accordingly; She has been the PI of an EU funded project ' Innovative ICT education for socio-economic development' - IESED (2017-2020) - with a pedagogical development focus.