Samaneh Saeedinia | Engineering | Best Researcher Award

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Prof.Dr. Samaneh Saeedinia | Engineering | Best Researcher Award

Iran University of Science and Technology | Iran

Dr. Samaneh Alsadat Saeedinia is an accomplished researcher and engineer specializing in Control Electrical Engineering, Computational Neuroscience, Robotics, and Artificial Intelligence. She earned her Ph.D. from Iran University of Science and Technology (IUST), where her thesis focused on designing and stabilizing intelligent decision-making systems to support the treatment of adult focal epilepsy, receiving an excellent grade. She also holds a Master’s degree in Control Electrical Engineering from IUST and a Bachelor’s degree from Imam Khomeini International University. Dr. Saeedinia has extensive experience in signal processing, machine learning, spiking neural networks, EEG and MRI data analysis, and adaptive control systems. She has contributed to numerous high-impact publications in IEEE Transactions, Scientific Reports, and other international journals. Her research interests include computational modeling, intelligent control, data fusion, robotics path planning, and neuroinformatics. Beyond academia, she has led industrial projects in electrical power systems, automation, and instrumentation. She has received multiple awards, including the Khwarizmi International Award and top ranks in academic performance. Dr. Saeedinia is also an experienced educator and mentor, guiding students in advanced control systems, neural networks, and data analysis. Her work bridges engineering, neuroscience, and artificial intelligence, aiming to develop innovative solutions for healthcare and robotic applications.

Profile : Google Scholar

Featured Publications

Saeedinia, S.A., Jahed-Motlagh, M.R., Tafakhori, A., & Kasabov, N.K. (2024). “Diagnostic biomarker discovery from brain EEG data using LSTM, reservoir-SNN, and NeuCube methods in a pilot study comparing epilepsy and migraine” in Scientific Reports, 14(1), 10667.

Mohaghegh, M., Saeedinia, S.A., & Roozbehi, Z. (2023). “Optimal predictive neuro-navigator design for mobile robot navigation with moving obstacles” in Frontiers in Robotics and AI, 10, 1226028.

Roozbehi, Z., Narayanan, A., Mohaghegh, M., & Saeedinia, S.A. (2024). “Dynamic-structured reservoir spiking neural network in sound localization” in IEEE Access, 12, 24596–24608.

Saeedinia, S.A., & Tale Masouleh, M. (2022). “The synergy of the multi-modal MPC and Q-learning approach for the navigation of a three-wheeled omnidirectional robot based on the dynamic model with obstacle collision” in Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science.

Roozbehi, Z., Narayanan, A., Mohaghegh, M., & Saeedinia, S.A. (2025). “Enhanced Multiple Sound Event Detection and Classification Using Physical Signal Properties in Recurrent Spiking Neural Networks” in IEEE Access.

Vicente Vanaclocha | Neuroscience Data Analysis | Best Scholar Award

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Prof. Dr. Vicente Vanaclocha | Neuroscience Data Analysis | Best Scholar Award

Universidad de Valencia | Spain

Prof. Dr. Vicente Vanaclocha is a distinguished neurosurgeon and academic recognized for his outstanding contributions to medical science, education, and clinical innovation. He obtained his Licenciatura in Medicine (1981) and completed his PhD in Neurosciences (1988) at the Universitat de València, where his doctoral research focused on experimental studies of ionizing radiation responses in epileptic foci. His academic record includes specialized training in Neurocirugía, earning the European Neurosurgery Title in 1994, and postgraduate degrees in healthcare management and hospital administration. With decades of teaching experience across prestigious institutions such as Universitat de València, Universidad Católica de Valencia, Universidad de Navarra, and Universidad Miguel Hernández de Elche, he has trained medical students, residents, and international fellows in advanced neurosurgical techniques. He has directed research grants, mentored doctoral candidates, and contributed significantly to knowledge in neuro-oncology, vascular neurosurgery, and innovative surgical procedures. Recipient of multiple academic and clinical recognitions, he continues to combine clinical excellence with research and teaching, advancing neurosurgery and medical education for future generations.

Profiles : Orcid | sciprofiles

Featured Publications

Vanaclocha, A., Vanaclocha, V., Atienza, C., Jordá-Gomez, P., Peñuelas, A., & Gomez-Lopez, D. (2025). Facet Joint Loading After Kevlar-Reinforced Disc Replacement vs. Lumbar Fusion. A cadaveric model study. Journal of Clinical Orthopaedics and Trauma.

Vanaclocha, A., Vanaclocha, V., Atienza, C. M., Jordá-Gómez, P., Primo-Capella, V., Blasco, J. R., Portolés, L., Saiz-Sapena, N., & Vanaclocha, L. (2025). Effect of Ti6Al4V Alloy Surface and Porosity on Bone Osseointegration: In Vivo Pilot Study in Rabbits. Materials.

Lovera, K., Vanaclocha, V., Atienza, C. M., Vanaclocha, A., Jordá-Gómez, P., Saiz-Sapena, N., & Vanaclocha, L. (2025). Dental Implant with Porous Structure and Anchorage: Design and Bench Testing in a Calf Rib Model Study. Materials.

Vanaclocha, V., Atienza, C., Vanaclocha, A., Peñuelas, A., Gómez-Herrero, J., Pérez-Carrió, F., Diego-Leyda, J. A., Sáiz-Sapena, N., & Vanaclocha, L. (2025). New Subperiosteal Dental Implant Design with Finite Element Analysis and Mechanical Validation: A Design Validation Study. Materials.

Vanaclocha, V., Herrera, J. M., Rivera-Paz, M., Saiz-Sapena, N., & Vanaclocha, L. (2024). Can a single basal cistern urokinase bolus help to prevent subarachnoid hemorrhage consequences? Heliyon.