Madjid Soltani is an Associate Professor at K. N. Toosi University of Technology and an Adjunct Professor at the University of Waterloo. He received his Ph.D from the University of Waterloo and his Post-Doctoral Fellowship from Johns Hopkins University.
Dr. Soltani has collaborated actively with researchers in several disciplines of cancer biology, microfluidics, and artificial intelligence (AI), particularly on problems related to digital pathology and digital twins. His research interests and contributions span a wide range of disciplines including data science, biomedical engineering and sustainable energy systems.
He is a Fellow of Balsillie School International Affairs, BSIA, and maintains strong multidisciplinary linkages to the Waterloo Institute for Sustainable Energy (WISE) and Centre for Bioengineering and Biotechnology (CBB) at the University of Waterloo. His research focuses on novel approaches to the development of methods and technologies towards the realization of personalized medicine in diagnosis, prediction, and therapy. In the area of sustainable energy, he has contributed to the advancement of renewable energies such as geothermal, wind, and solar, and particularly the role of energy storage for resilient energy systems. His other area of work in energy is related to the science of energy use in buildings and data analytics and advanced models for energy efficiency in buildings.
He serves on the Editorial Board of several journals, including MVR, RSER, ECM, and Applied Energy. His doctoral thesis and numerous refereed publications and conference presentations (Over 7000 citations H index of 44) represent a significant contribution to Biomedical Engineering and Energy and form the foundation for future studies related to applications of AI and policy developments. Professor Soltani has an impressive publication record with more than 200 refereed publications and 60-plus conference presentations. In addition to publications and several awards, he has been awarded the University’s 2013 Outstanding Achievement in Graduate Studies Honors.
With a focus on data science, data analytics, AI, and other emerging technologies, his expertise supports collaboration within the STEM4 Global Resilience Research Cluster with BSIA fellows to advance the role of digital transformations shaping diverse multidisciplinary problems in the Health and Energy sectors. His work involves advice and support to policymakers, and building the capacity of students to bridge the gaps between scientific developments and impacts on public policy.