Rasool Baghbani | Biomedical Sensors | Excellence in Research Award

Prof. Dr. Rasool Baghbani | Biomedical Sensors | Excellence in Research Award

Hamedan University of Technology | Iran

Rasool Baghbani is a dedicated biomedical engineering scholar and faculty member at Hamedan University of Technology whose work bridges advanced engineering with clinical innovation through the development of intelligent medical devices, embedded microsystems, bioimpedance technologies, and IoMT solutions. His academic background spans electrical engineering, biomedical instrumentation, and bioelectrics, culminating in doctoral research focused on bioimpedance-based lung cancer diagnostics, which led to multiple scientific publications and validated methods for intraoperative assessment. His professional experience includes academic teaching, supervising graduate research, leading departmental initiatives, and contributing to national evaluation of medical equipment in alignment with international safety and performance standards. His research interests encompass biomedical sensors, firmware programming, biophysical signal analysis, medical robotics, bioelectromagnetics, and machine learning for health applications, supported by strong skills in Python, C++, MATLAB, microcontroller programming, PCB design, COMSOL modelling, laboratory instrumentation, and hardware prototyping. His achievements include multiple recognitions in teaching, research excellence, peer-review service for leading journals, and patents in medical technology. Through his interdisciplinary expertise and sustained commitment to innovation, he continues to advance biomedical engineering by designing practical, patient-centered solutions while inspiring future researchers, ultimately aiming to elevate healthcare through technology-driven problem solving.

Profile: Google scholar

Featured Publications

Baghbani, R., Rad, M. A., & Pourziad, A. (2015). Microwave sensor for non-invasive glucose measurements: Design and implementation of a novel linear method. IET Wireless Sensor Systems, 5(2), 51–57.
Citations: 58

Hamouleh-Alipour, A., Forouzeshfard, M., Baghbani, R., & Vafapour, Z. (2022). Blood hemoglobin concentration sensing by optical nano biosensor-based plasmonic metasurface: A feasibility study. IEEE Transactions on Nanotechnology, 1–8.
Citations: 49

Baghbani, R., Shadmehr, M. B., Ashoorirad, M., Molaeezadeh, S. F., & Moradi, M. H. (2021). Bioimpedance spectroscopy measurement and classification of lung tissue to identify pulmonary nodules. IEEE Transactions on Instrumentation and Measurement, 70, 1–7.
Citations: 45

Alipour, A. H., Khani, S., Ashoorirad, M., & Baghbani, R. (2023). Trapped multimodal resonance in magnetic field enhancement and sensitive THz plasmon sensor for toxic materials accusation. IEEE Sensors Journal, 23(13), 14057–14066.
Citations: 35

Philippe Cattin | Biomedical Engineering | Best Researcher Award

Prof. Dr. Philippe Cattin | Biomedical Engineering | Best Researcher Award

University of Basel | Switzerland

Dr. Philippe Cattin is a distinguished full professor at the University of Basel, Switzerland, with over two decades of academic and research excellence in computer science, robotics, and medical technology. He earned his MSc in Computer Science and PhD in Robotics from ETH Zürich under the mentorship of renowned professors Ueli Maurer and Gerhard Schweitzer, establishing a strong foundation in computational and engineering sciences. His professional journey began as a doctoral researcher at ETH Zürich, followed by roles as junior researcher and senior researcher in the Computer Vision Laboratory before joining the University of Basel, where he advanced from assistant professor to full professor. His research interests focus on medical image analysis, computer vision, robotics, and the integration of virtual reality and deep learning in healthcare. Skilled in advanced algorithms, 3D visualization, VR-based surgical planning, and deep learning architectures, he has pioneered real-time volume rendering in VR and cutting-edge diffusion models for medical applications. His team’s contributions, including the development of Specto Medical and leadership in international competitions, have significantly advanced precision medicine and surgical training. Recognized for impactful innovations, publications in leading journals, and patent applications, Professor Cattin continues to shape the future of medical technology with global influence and academic leadership.

Profile: ORCID

Featured Publications