Medical Technology Research Centre
Dr Shabnam Sadeghi Esfahlani is an accomplished Associate Professor in Robotics at the School of Engineering and the Built Environment, serving as the Deputy leader for the BORI research group. She brings expertise in mechatronics, robotics, artificial intelligence, engineering design, virtual reality (VR), and serious video games. With a notable record of securing research income, her work spans the development of AI-driven serious games, mechatronics, robotics, and algorithm design for societal applications.
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Shabnam is actively engaged in editorial roles and has received funding from prestigious entities such as Innovate UK and Knowledge Transfer Partnership UK. Her contributions extend to numerous international conferences and over thirty-three high-quality publications, solidifying her position as a distinguished researcher in the field.
Having embarked on her academic journey at Anglia Ruskin University in 2008 as a PhD student and part-time lecturer, Shabnam's role evolved into her current one, as an Associate Professor, in 2022. Her accolades include being a Chartered Engineer and Senior Fellow of the Higher Education Academy. Renowned for her pioneering work in robotics, she developed the open-source ground robot SROBO and spearheaded projects in autonomous navigation, UAV tracking, and VR applications.
As a dedicated Associate Professor, Shabnam has presented extensively, authored over forty high-quality articles, and held editorial positions, showcasing her commitment to advancing the field of robotics. Shabnam's passion for interdisciplinary challenges fuels her love for robotics, evident in transformative projects like SROBO, the Hazard Perception Game, Rehabgame, and the Assistive Feeding Robot, epitomizing her dedication to pushing the boundaries of human innovation. A poignant highlight is witnessing the developmental milestones of a robotic arm integrated with a machine-learning algorithm, underscoring the profound advancements in robotics and AI.
Shabnam's research interests encompass a broad and interdisciplinary spectrum within engineering and technology, underscoring a commitment to both theoretical inquiry and practical implementation. A detailed elaboration on each aspect can be found below.
Mechatronics
Artificial Intelligence (AI) application in Robotics
Engineering Design Optimization
Virtual Reality (VR) Applications
Serious Video Games
Esfahlani, S.S., Sanaei, A., Ghorabian, M. and Shirvani, H., 2022. The Deep Convolutional Neural Network Role in the Autonomous Navigation of Mobile Robots (SROBO). Remote Sensing, [online] 14(14), p.3324. https://doi.org/10.3390/rs14143324.
Esfahlani, S.S., Shirvani, H., Butt, J., Mirzaee, I., and Esfahlani, K.S., 2022. Machine Learning Role in Clinical Decision-Making: Neuro-Rehabilitation Video Game, Expert Systems with Applications, Elsevier. https://doi.org/10.1016/j.eswa.2022.117165.
van Paridon, K., Timmis, M.A. and Sadeghi Esfahlani, S., 2021. Development and evaluation of a virtual environment to assess cycling hazard perception skills. Sensors, 21(16), p.5499.
Esfahlani, S.S., 2021. Ballistic Performance of Polycarbonate and Polymethyl methacrylate Under Normal and Inclined Dynamic Impacts, Heliyon, 7(4), e06856, Elsevier. https://doi.org/10.1016/j.heliyon.2021.e06856.
Butt, J., Mohaghegh, V., Esfahlani, S.S, and Shirvani, H., 2020. 3 Subtractive and Additive Manufacturing Applied to Drilling Systems. Advances in Terrestrial Drilling. CRC Press.
Butt, J., Esfahlani, S.S, Oxford, P., Ghorabian, M., and Shirvani, H., 2020. Hybrid Manufacturing and Mechanical Characterisation of Cu/PLA Composites, Arabian Journal for Science & Engineering.
Brown, P., Tan, A.C., El-Esawi, M.A., Liehr, T., Blanck, O., Gladue, D.P., Almeida, G.M., Cernava, T., Sorzano, C.O., Yeung, A.W. and Engel, M.S., 2019. Large expert-curated database for benchmarking document similarity detection in biomedical literature search. Database, 2019.
Esfahlani, S.S., Butt, J., Shirvani, H. and Mirzaee, I., 2019. The Fusion of Artificial Intelligence in Neuro-Rehabilitation Video Games. Journal of IEEE ACCESS, 7, pp. 102617-102627. DOI 10.1109/ACCESS.2019.2926118.
Esfahlani, S.S., 2019. Mixed Reality and Remote Sensing Application of Unmanned Aerial Vehicle in Fire and Smoke Detection, Journal of Industrial Information Integration, 15, pp. 42-49; https://doi.org/10.1016/j.jii.2019.04.006.
Butt, J., Hewavidana, Y., Mohaghegh, V., Esfahlani, S.S, and Shirvani, H., 2019. Hybrid Manufacturing and Experimental Testing of Glass Fiber Enhanced Thermoplastic Composites, Journal of Manufacturing and Materials Processing, (ISSN 2504-4494), 3, 96; DOI 10.3390/jmmp3040096.
Mul, C., Cardini, F., Stagg, S., D., Esfahlani, S. S. and Kiourtsoglou, D., Cardellicchio, P., Aspell, J., 2019. Altered Bodily Self-consciousness and Peripersonal Space in Autism, National Autistic Society, DOI 10.1177/1362361319838950, p.1-13.
Kordzadeh, A., and Esfahlani, S.S., 2019. Artificial Intelligence in the Prediction of Functional Maturation of Radiocephalic Arteriovenous Fistula. Journal of Vascular Access, Ann Vasc Dis. 2019 Mar 25; 12(1): 44–49. DOI 10.3400/avd.oa.18-00129.
Esfahlani, S.S., Muresan, B., Sanaei, A. and Wilson, G., 2018. Validity of the Kinect and Myo Armband in a Serious Game for Assessing Upper Limb Movement. Entertainment Computing, DOI 10.1016/j.entcom.2018.05.003.
Esfahlani, S.S., Thompson, T., Parsa, A.D., Brown, I. and Cirstea, S., 2018. ReHabgame: A Non-Immersive Virtual Reality Rehabilitation System with Applications in Neuroscience. Heliyon, 4(2), p.e00526, DOI 10.1016/j.heliyon.2018.e00526.
Esfahlani, S.S., & Shirvani, H., 2019. Video Game and Fuzzy Logic to Improve Amblyopia and Convergence Insufficiency, 45th Annual Conference of the IEEE Industrial Electronics, pp. 179-185, DOI 10.1109/IECON.2019.8927143. IEEE Xplore.
Izsof, V., Minter, S., Kordzadeh, A., and Esfahlani, S.S., 2019. Development of an Interactive Virtual Reality for Medical Skills Training Supervised by Artificial Neural Network, Proceedings of SAI Intelligent Systems Conference, IntelliSys 2019: Intelligent Systems and Applications, pp. 473-482, DOI 10.1007/978-3-030-29513-4_34. IEEE Xplore.
Esfahlani, S.S. and Cirstea, S. and Sanaei, A. and Cirstea, M., 2018. Fire Detection of Unmanned Aerial Vehicle in a Mixed Reality-based System. pp. 2757-2762. IEEE Industrial Electronics Society, IECON2018. DOI 10.1109/IECON.2018.8592764. IEEE Xplore.
Esfahlani, S.S., & Shirvani, H., 2019. Video Game and Fuzzy Logic to Improve Amblyopia and Convergence Insufficiency, 45th Annual Conference of the IEEE Industrial Electronics, pp. 179-185, DOI 10.1109/IECON.2019.8927143. IEEE Xplore.
Izsof, V., Minter, S., Kordzadeh, A., and Esfahlani, S.S., 2019. Development of an Interactive Virtual Reality for Medical Skills Training Supervised by Artificial Neural Network, Proceedings of SAI Intelligent Systems Conference, IntelliSys 2019: Intelligent Systems and Applications, pp. 473-482, DOI 10.1007/978-3-030-29513-4_34. IEEE Xplore.
Esfahlani, S.S. and Cirstea, S. and Sanaei, A. and Cirstea, M., 2018. Fire Detection of Unmanned Aerial Vehicle in a Mixed Reality-based System. pp. 2757-2762. IEEE Industrial Electronics Society, IECON2018. DOI 10.1109/IECON.2018.8592764. IEEE Xplore.
Esfahlani, S.S., Cirstea, S., Sanaei, A. and Wilson, G., 2017. An Adaptive Self-Organizing Fuzzy Logic Controller in a Serious Game for Motor Impairment Rehabilitation. International Symposium on Industrial Electronics (ISIE), pp. 1311-1318, DOI 10.1109/ISIE.2017.8001435, IEEE Xplore.
Esfahlani, S.S. & Wilson, G., 2017. Development of Rehabilitation System (RehabGame) through Monte-Carlo tree Search Algorithm using kinect and Myo Sensor Interface. Computing Conference, pp. 1021-1028. DOI 10.1109/SAI.2017.8252217. IEEE Xplore.
Constantinou, G., Wilson, G., Esfahlani, S. S. & Cirstea, M., 2017. An Effective Approach to the Use of 3D Scanning Technology which Shortens the Development Time of 3D Models. Optimization of Electrical and Electronic Equipment (OPTIM) & Intl Aegean Conference on Electrical Machines and Power Electronics (ACEMP), pp. 1083-1088. DOI 10.1109/OPTIM.2017.7975116. IEEE Xplore.