**Contents**


Reprinted from: *Cancers* **2022**, *14*, 3675, doi:10.3390/cancers14153675 ................ **121**




### **Nikitha Vobugari, Vikranth Raja, Udhav Sethi, Kejal Gandhi, Kishore Raja and Salim R. Surani** Advancements in Oncology with Artificial Intelligence—A Review Article Reprinted from: *Cancers* **2022**, *14*, 1349, doi:10.3390/cancers14051349 ................ **635**

## **About the Editors**

#### **Hamid Khayyam**

Hamid Khayyam received a B.Sc. degree (Hons.) from the University of Isfahan, a M.Sc. degree from the Iran University of Science and Technology, and a Ph.D. degree in Mechanical Engineering with specialization in intelligent systems from Deakin University, Australia. Dr. Khayyam has worked in automation and energy productivity in various industrial companies for more than ten years. In his previous position, he was leading the efforts on modeling the control and optimization of energy systems at the Carbon Nexus production line, Deakin University utilizing artificial intelligence and machine learning technologies. Dr. Khayyam is currently a Senior Lecturer in the Department of Mechanical Engineering, School of Engineering at the RMIT University, Australia. He has contributed more than 600 journal articles to professional journals as an editor and reviewer. Additionally, he has published more than 100 high-quality journal articles, 1 (sole) book, 9 book chapters, and currently serves on several Editorial Boards of ISI journals. Dr. Khayyam's research is focused on instituting new technologies to develop distinctive approaches for the integration of artificial intelligence and machine learning to solve complex systems. He is a keynote and invited speaker, in academic committees in international conferences, webinars, and workshops about technology development, artificial intelligence and machine learning. Dr. Khayyam is a senior academic member of the Intelligent Automation Research Group (IARG) at RMIT in Australia and The Materials and Manufacturing Research Institute (MMRI) at The University of British Columbia in Canada. Dr. Khayyam is a Senior Member of IEEE.

#### **Ali Madani**

Ali Madani is currently the Director of Machine Learning at Cyclica Inc, a leading Canadian biotechnology company focused on AI-based drug discovery. Dr. Madani is a Ph.D. graduate of the University of Toronto; alumnus of University of Waterloo School of Engineering; and attained a Master of Mathematics from the University of Waterloo. He also received his B.Sc. degree from the University of Tehran. He is an active member of the machine learning community in Toronto and speaks at world- and Canada-wide conferences, webinars, and workshops about technology development, artificial intelligence, drug discovery, and cancer therapeutics. He has published several scientific articles in high-impact factor journals and contributed to technological patents on these subjects. As a believer in industry-oriented education and the pro-democratization of knowledge, Dr. Madani has educated and mentored thousands of students and professionals on topics such as artificial intelligence, programming, and data science.

#### **Rahele Kafieh**

Rahele Kafieh received a BSc (2005) followed by an MSc (2008) and a Ph.D. (2014) in Biomedical Engineering from the Sahand University of Technology and Isfahan University of Medical Sciences in Iran. She obtained her first tenure post as an assistant professor in the Department of Advanced Technologies in Medicine at the Isfahan University of Medical Sciences in 2014 and remained there for 7 years, during which she obtained valuable experience in teaching and supervising projects at undergraduate and graduate levels. She has led many successful previously unexplored projects on medical images, including but not limited to classification and segmentation of retinal images with AI; applications of AI in CT-scan and X-ray images; and multi-modality MRI data analysis. Her two stays at the Charite university hospital, Germany and one stay at the Sabanci University in ´ Turkey were awarded by competitive research scholarships from the Einstein forum and TUBITAK, respectively. Then she moved to Newcastle University, where she worked as a Research Associate in an interdisciplinary team at Newcastle University, a position that provided her the great opportunity to conduct in-depth research on the role of artificial intelligence (AI) in the detection of neurological diseases from the eye. Since July 2022, she has been with the Department of Engineering at Durham University as an Assistant Professor. Her current research is on medical image processing in different organs (eye, chest, teeth, brain, heart, and breast), from different modalities (OCT, Fundoscopy, CT-scan, X-ray, cone-beam CT, MRI, fMRI, and infrared), facing challenges such as high dimensionality, noisiness, and imbalance.

#### **Ali Hekmatnia**

Ali Hekmatnia is a Professor of Radiology at the Isfahan University of Medical Sciences, Iran. He received his medical degree from the Shahid Beheshti University of Medical Sciences, Tehran in 1989, with an internship Radiology residency from the Isfahan University of Medical Sciences, Iran in 1995. He has had a visiting fellowship in pediatric radiology at the Great Ormond Street Hospital for Sick Children, London, UK in 2000. He had a visiting fellowship in neuroradiology at the National Hospital for Neurology and Neurosurgery, London, UK in 2000 too.He received a M.Sc. degree in Medical Education at the Isfahan University of Medical Sciences, Iran in 2007. Dr Hekmatnia has contributed in more than 120 peer-reviewed articles to professional journals. His research interests are in CT scan, MRI, pediatric radiology, and neuroradiology.
