Medical Robotics and Intelligent Healthcare Technologies

Jacky Baltes is a Full Professor in the computer science department at the University of Manitoba in Winnipeg, Canada. Dr. Baltes was born and grew up in Munich, Germany. He is a three-time national champion in speed skating and participated at the 1984 and 1988 Olympic games. Dr. Baltes received his Ph.D. in 1996 from the University of Calgary, Canada in artificial intelligence and machine learning. For his Ph.D., Dr. Baltes developed a learning multi-strategy planning system called DoLittle. From 1996 to 2002, Dr. Baltes worked as a senior lecturer in the computer science department at the University of Auckland, New Zealand. In 2002, Dr. Baltes moved to the University of Manitoba in Winnipeg, Canada.Soroush Sadeghnejad is an Assistant Professor of Biomedical Engineering Department at Amirkabir University of Technology from 2020. He received his Ph.D. in 2017, from the Sharif University of Technology in the area of medical robotics engineering. In his Ph.D., he worked on the development of virtual-based sinus endoscopic surgical training systems. Beforehand, he received his MSc and BSc in Mechanical Engineering Department of the Amirkabir University of Technology with the top ranks. He is also currently the student scientific association office manager of Amirkabir University of Technology (Tehran Polytechnic). From 2019, he appointed as the Federation of International Robosports Association Vice-President. In 2014, he has been appointed as the Executive Committee (EC) member of the International RoboCup Federation by the board of Trustees and now he is the Iran FIRA chapter head.Sujata Dash is a Professor of Computer Science at North Orissa University, India, with over 25 years of teaching and research experience. She received the prestigious Titular Fellowship from the Association of Commonwealth Universities, UK, and has served as a visiting professor at the University of Manitoba, Canada. Sujata has authored over 170 publications, including journal articles, conference proceedings, and book chapters in Springer, Elsevier, IEEE, and Wiley. She holds 10 patents and has published influential textbooks and monographs. An active member of international professional associations such as ACM, IEEE, and IACSIT, she also reviews for 15 journals including Bioinformatics and IEEE ACCESS. Sujata has delivered keynote speeches, chaired sessions at global conferences, and serves on the editorial boards of around 10 international journals. Her research interests encompass machine learning, data science, big data analytics, bioinformatics, and intelligent agents, making her a leading expert in computational sciences. Dr. Subhendu Kumar Pani received his Ph.D. from Utkal University, Odisha, India in the year 2013. He is working as a professor at Krupajal Engineering College under BPUT, Odisha, India. He has more than 20 years of teaching and research experience His research interests include Data mining, Big Data Analysis, web data analytics, Fuzzy Decision Making and Computational Intelligence. He is the recipient of 5 researcher awards. In addition to research, he has guided two PhD students and 31 M. Tech students. He has published 150 International Journal papers (100 Scopus index). His professional activities include roles as Book Series Editor (CRC Press, Apple Academic Press, Wiley-Scrivener), Associate Editor, Editorial board member and/or reviewer of various International Journals. He is an Associate with no. of the conference societies. He has more than 250 international publications, 5 authored books, 25 edited and upcoming books; 40 book chapters into his account. He is a fellow in SSARSC and a life member in IE, ISTE, ISCA, and OBA.OMS, SMIACSIT, SMUACEE, CSI.

• 1. Robotics for medical applications2. Neurorobotics approach in the human infant.3. Control methods in biomedical system4. Real-time classification of electromyography signals for robotics5. Computational methods and mathematics for Medical Robotics6. Computational method in modelling and control with bio signal processing7. Image-guided Diagnosis and Therapy8. Smart instrumented tools for surgery9. Rehabilitation Robotics System Development10. Safety aspects in rehabilitation and assistive robotics11. Classification of robotic data using Machine learning techniques12. Tactile and sensor technologies in medical usage13. Haptic and Teleoperation in Biomedicine14. Usage of explainable machine learning and interpretable artificial intelligence in medical robotics