Personal profile
Biography
Dr. Sara Baber Sial is a Senior Research Fellow at Monash University Suzhou and an Senior Lecturer (Adjunt) at Monash University, Australia. She also holds an appointment as Honorary Research Fellow at the Centre for Computational Science and Mathematical Modelling, Coventry University, UK. With over 12 years of experience in academia and research, she has previously worked as an Associate Professor at the National University of Sciences and Technology (NUST), Department of Robotics and AI, in Pakistan.
Dr. Sial is the founder and director of the NUST-Coventry Human-Robot Interaction (NC-HRI) Lab, an international collaborative research lab established with Coventry University. She has previously led the major initiative of the Intelligent Field Robotics Lab (IFRL) as the Scientific Director under the National Center of AI (NCAI).
Dr. Sial has received multiple institutional honors, including the Best Teacher Award, Best Researcher Award, and Top Performer Award at NUST.
She is the author of over 70+ peer- reviewed publications, including in leading journals such as IEEE Transactions, and has contributed to multiple international conferences, workshops, and book chapters. Her book,
“Introducing Therapeutic Robotics for Autism,” was published by Emerald Publishing, UK, and has been cited as a key contribution to the emerging field of therapeutic robotics.
Throughout her career, she has graduated over 27 Master’s students and 2 PhD scholars and is currently supervising postgraduate researchers in Robotics and Artificial Intelligence. She is also recognized for her contributions to STEM outreach and diversity initiatives, particularly through her role as the founding faculty sponsor of the NUST Robotics Club (NRC), which fosters interdisciplinary and inclusive student engagement in robotics.
Dr. Sial has played a leading role in securing and managing several prestigious national and international grants, including three British Council grants, the Canada Fund for Local Initiatives (CFLI), and collaborative research and development projects across the globe.
She is frequently invited to speak at national and international forums and has delivered keynote addresses at many international conferences. Additionally, she has served as a session chair, technical chair, and member of scientific advisory boards in several reputed conferences in
Robotics and AI.
Dr. Sial is also contributing at the policy-making level, having played a pivotal role in developing the national framework on the Ethical Use of Generative AI Tools in Academia in collaboration with Pakistan’s Higher Education Commission (HEC).
Research Interests: Her research interests include Human-Robot Interaction (HRI), Human- Centric AI Technologies, Assistive Digital Technology, Virtual Reality (VR), Human-in-loop (HIL) Interaction, Multi-Modal Sensing and Perception, Generative AI
Education/Academic qualification
Robotics and Artificial Intelligence, PhD, National University of Sciences & Technology (Pakistan)
Award Date: 17 Sept 2020
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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SDG 7 Affordable and Clean Energy
Collaborations and top research areas from the last five years
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Benchmarking control strategies for UAV swarms: Centralized, decentralized, or federated reinforcement learning
Ali, M. A., Maqsood, A., Athar, U. & Ali, S., Mar 2026, In: Aerospace Science and Technology. 170, 10 p., 111539.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile -
Active interception of moving ball: a multi-player strategy for humanoid soccer robots
Khan, S., Ali, S., Iqbal, K. F., Ayaz, Y., Brusay, J. H., Khan, M. A. & Baili, J., Aug 2025, In: Multimedia Tools and Applications. 84, 27, p. 32487-32503 17 p.Research output: Contribution to journal › Article › Research › peer-review
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A scalable deep attention mechanism of instance segmentation for the investigation of chromosome
Umbreen, N., Ali, S., Sajid, H., Ayaz, Y., Alsenan, S., Nam, Y., Kim, S. Y. & Sial, M. B., Aug 2025, In: SLAS Technology. 33, 11 p., 100306.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile2 Link opens in a new tab Citations (Scopus) -
Dual attention and multi-scale pyramid network (DAMP): a novel approach to chromosome classification
Umbreen, N., Ali, S., Sajid, H., Ayaz, Y., Khan, M. A., Baili, J. & Alhayan, F., 28 Dec 2025, In: Cluster Computing. 29, 1, 15 p., 67.Research output: Contribution to journal › Article › Research › peer-review
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E-Gait: Enhanced Efficient Graph Convolution Network for Gait Recognition
Naz, N., Rasheed, S., Ali, S. & Sajid, H., 2025, PROCEEDINGS OF SPIE Seventeenth International Conference on Machine Vision (ICMV 2024). Osten, W. (ed.). Bellingham Washington USA : SPIE - International Society for Optical Engineering, 8 p. 135171D. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 13517).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research
1 Link opens in a new tab Citation (Scopus)