Dr. Madjid Soltani
FACULTY
Qualification
Ph.D. in Chemical Engineering – Nanotechnology, University of Waterloo
M.Sc. in Mechanical Engineering, Sharif University of Technology
Teaching and Scholarly Interests:
Management of Technology, Applications of Emerging Technologies, Artificial Intelligence, Medical Technologies, Renewable and Sustainable Energies, Multi Scale System Modeling
Madjid Soltani completed his PhD in the University of Waterloo, Waterloo Institute for Nanotechnology and his postdoctoral studies in the University of Johns Hopkins, School of Medicine. Dr. Soltani has published widely with high impact journals across engineering, science and technology disciplines. Dr Soltani has been awarded the University of Waterloo’s
2013 Outstanding Achievement in Graduate Studies Honours. He is currently a Senior Research Fellow with Waterloo Institute for Sustainable Energy.
PUBLICATIONS:
A Sarmadi, M Hassanzadeganroudsari, M Soltani
Bioinformatics Tools for Pharmaceutical Drug Product Development, 233-253
Deep Learning for Modeling an Offshore Hybrid Wind–Wave Energy System
M Dehghan Manshadi, M Mousavi, M Soltani, A Mosavi, L Kovacs
Energies 15 (24), 9484
Recent Advances of Utilizing Artificial Intelligence in Lab on a Chip for Diagnosis and Treatment
S Zare Harofte, M Soltani, S Siavashy, K Raahemifar
Small 18 (42), 2203169
Modeling the efficacy of different anti-angiogenic drugs on treatment of solid tumors using 3D computational modeling and machine learning
M Mousavi, MD Manshadi, M Soltani, FM Kashkooli, A Rahmim, A Mosavi, …
Computers in biology and medicine 146, 105511
Synthetic 18F-FDG PET image generation using a combination of biomathematical modeling and machine learning
MA Abazari, M Soltani, F Moradi Kashkooli, K Raahemifar
Cancers 14 (11), 2786
A novel numerical and artificial intelligence based approach to study anti-angiogenic drugs: Endostatin
MA Ghazani, M Soltani, P Jalali, R Hassannejad
Applied Mathematical Modelling 105, 258-283
Deep neural networks for neuro-oncology:: Towards patient individualized design of chemo-radiation therapy for Glioblastoma patients
A Ebrahimi Zade, S Shahabi Haghighi, M Soltani
Deep neural networks for neuro-oncology: Towards patient individualized design of chemo-radiation therapy for Glioblastoma patients
AE Zade, SS Haghighi, M Soltani
Journal of Biomedical Informatics 127, 104006
Energy simulation of residential house integrated with novel IoT windows and occupant behavior
H Fekri, M Soltani, M Hosseinpour, W Alharbi, K Raahemifar
Sustainable Cities and Society 78, 103594
Theranostic digital twins for personalized radiopharmaceutical therapies: Reimagining theranostics via computational nuclear oncology
A Rahmim, J Brosch-Lenz, A Fele-Paranj, F Yousefirizi, M Soltani, C Uribe, …
Frontiers in Oncology 12
Optimization and energy assessment of geothermal heat exchangers for different circulating fluids
M Soltani, P Farzanehkhameneh, FM Kashkooli, A Al-Haq, J Nathwani
Energy Conversion and Management 228, 113733