Research output per year
Research output per year
Personal profile
Research Interests
My research focuses on developing intelligent vision-guided robotic systems for challenging real-world applications. I combine artificial intelligence, computer vision, event-based sensing and intelligent control to enable robots to perceive, manipulate and interact with their environments with greater precision and autonomy. A central theme of my work is medical robotics, including automated micromanipulation, vision-based force sensing and microrobotic platforms for biomedical experimentation and cellular studies. I also investigate explainable and trustworthy AI to make autonomous systems safer, more transparent and reliable.
Qualifications
PhD in Medical Robotics, University of Birmingham
Award Date: July, 2021
MSc in Advanced Mechanical Engineering, University of Birmingham,
Award date: October, 2016
Chair and member for international conferences
Program Committee Member – International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS)
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 2 Zero Hunger -
SDG 3 Good Health and Well-being
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Development of a deep neural network model for simultaneous analysis of extracellular analyte gradients for a population of cells
Acosta-Ramirez, I., Sadak, F., Choudhury, S. D., Thomson, J., Perez-Rosero, S., Plange, P. N. A., Morales-Mendivelso, S. E. & Iverson, N. M., 1 Jun 2026, In: Artificial intelligence in the life sciences. 9, 8 p., 100156.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
An explainable deep learning model for automated classification and localization of microrobots by functionality using ultrasound images
Sadak, F., 1 Jan 2025, In: Robotics and Autonomous Systems. 183, 12 p., 104841.Research output: Contribution to journal › Article › peer-review
4 Link opens in a new tab Citations (Scopus) -
Ensuring trust in healthcare robotics: The essential role of explainable AI
Sadak, F. & Qureshi, R., 7 May 2025, Explainable AI in Healthcare Imaging for Medical Diagnoses: Digital Revolution of Artificial Intelligence. Saba, T., Azar, A. T. & Kadry, S. (eds.). Academic Press, 28 p.Research output: Chapter in Book/Published conference output › Chapter
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Multi-Modal LLMs in Agriculture: A Comprehensive Review
Sapkota, R., Qureshi, R., Hadi, M. U., Hassan, S. Z., Sadak, F., Shoman, M., Sajjad, M., Dharejo, F. A., Paudel, A., Li, J., Meng, Z., Shutske, J. & Karkee, M., 19 Sept 2025, In: IEEE Transactions on Automation Science and Engineering. 22, p. 22510-22540 31 p.Research output: Contribution to journal › Article › peer-review
26 Link opens in a new tab Citations (SciVal) -
Current advances in imaging spectroscopy and its state-of-the-art applications
Zahra, A., Qureshi, R., Sajjad, M., Sadak, F., Nawaz, M., Khan, H. A. & Uzair, M., 15 Mar 2024, In: Expert Systems with Applications. 238, 18 p., 122172.Research output: Contribution to journal › Article › peer-review
Open AccessFile78 Link opens in a new tab Citations (SciVal)3 Downloads (Pure)