Faculty:Faculty of Science and Engineering
School:Engineering and the Built Environment
Location: Chelmsford
Areas of Expertise: Mechanical Engineering
Research Supervision:Yes
Dr Sadeghi Esfahlani is an Associate Professor in Mechatronics and AI at the School of Engineering and the Built Environment, and deputy leader for BORI research group. She is a Chartered Engineer (CEng), Senior Fellow of Higher Education Academy (SFHEA), and Member of the Institution of Engineering and Technology (MIET). Her research interests include Mechatronics, Robotics and Artificial Intelligence, Engineering Design, Virtual Reality (VR) and Serious Video Games.
shabnam.sadeghi-esfahlani@aru.ac.uk
View Shabnam’s profiles on Scopus, ORCID, Google Scholar and ResearchGate
She has a successful track record of extensive research income generation in multidisciplinary areas; her research contributes to the development of serious games with specific artificial intelligence applications, mechatronics and robotics, algorithm design to be used by robots for societal needs (healthcare, and daily assistance) and mechanical engineering design optimisation. National and international organisations, including Innovate UK and Knowledge Transfer Partnership UK, have funded her research.
Shabnam has presented her research at various international conferences and published more than forty high-quality journal and conference articles.
She is a reviewer board member in Sensors journal, Review Editor on the Editorial Board of Pattern Recognition Frontiers in Artificial Intelligence). She is the guest editor of the Special Issue “Recent Trends in AI Robots” of Machines Journal.
Using robotics in the medical field that promotes high-quality patient care, efficient processes in clinical settings, and a safe environment for patients and healthcare workers to expand functional efficiencies.
Development of an open-source ground robot with real-time decision-making ability via onboard signal processing and an image-capturing system using a deep convolutional neural network and transfer learning.
Designing a platform for autonomous navigation using SLAM and real-time nano unmanned aerial vehicles (UAV) tracking.
Combination of VR and AI to design platforms with educational purposes.
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., Shirvani, A., Nwaubani, S., Mebrahtu, H. & Chirwa, C., 2013. Hexagonal Honeycomb Cell Optimisation by Way of Meta-model Techniques. International Journal of Crashworthiness, 18(3), pp.264-275, DOI 10.1080/13588265.2013.776337.
Esfahlani, S.S., Shirvani, H., Shirvani, A., Mebrahtu, H. and Nwaubani, S., 2013. Design, Development and Numerical Analysis of Honeycomb Core with Variable Crushing Strength. American Journal of Engineering and Applied Sciences, 6(1), pp.8-19, DOI 10.3844/ajeassp.2013.8.19.
Esfahlani, S.S., Shirvani, H., Nwaubani, S., Shirvani, A. & Mebrahtu, H., 2013. Comparative Study of Honeycomb Optimization using Kriging and Radial Basis Function. Theoretical and Applied Mechanics Letters, 3(3), DOI 10.1063/2.1303102.
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.
Esfahlani, S. S., Shirvani, H., Shirvani, A., & Nwaubani, S., 2011. Design Attributes for Geometry Optimization Process of Thin-walled Honeycomb Structures, ASME Proceedings, 21st Reliability, Stress Analysis, and Failure Prevention Conference, Washington, DC, USA, pp. 899-908. DOI 10.1115/DETC2011-47080. ASME.
Muresan, B. & Esfahlani, S.S., 2018. Autonomous Flight and Real-time Tracking of Nano Unmanned Aerial Vehicle. Intelligent Computing Conference. SAI2018. Advances in Intelligent Systems and Computing, 858. Springer, pp 945-956. DOI 10.1007/978-3-030-01174-1_73.
Esfahlani, S.S. & Thompson, T., 2016. September. Intelligent Physiotherapy through Procedural Content Generation, 12 (1), pp 27-30. Twelfth Artificial Intelligence and Interactive Digital Entertainment Conference. Artificial Intelligence and Interactive Digital Entertainment (AAAI) Conference.