Tensymp 2020

New

Mohammad Arif Ul Alam, PhD

Assistant Professor, Computer Science,
University of Massachusetts Lowell, USA

Short Bio:

Dr. Alam is an assistant professor in the Computer Science department at University of Massachusetts Lowell, where he leads the Cognitive Ubiquitous Computing and Systems (CUBICS) laboratory. He received his PhD in Information Systems from University of Maryland Baltimore County in 2017. He received his Bachelor of Science degree in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET) in 2011. He worked at IBM T. J. Watson Research Center for 2 years as a Research Staff Member under MIT-IBM Watson AI Lab and served as a Research Affiliate at MIT Media Lab. His research interests cover ubiquitous computing and applied AI on human cognition that leverages a network of connected biomedical devices, sensors and AI aided cognitive systems to help people with disabilities. He is a Co-PI of Canada’s Aging and Technology Network (AGE-WELL NCE) grant which aims to develop a mobility self-monitoring tool for older adults and their caregivers. He is a member of technical program committee of IEEE PerCom, SmartComp and ICDCS.

Title:

Super-humanoid Healthcare Robotics.

Abstract:

A humanoid robot is a machine resembling a human being and able to replicate certain human movements and functions automatically that consist of human like physical structure, vision, sense and human brain like computational power. With the humanoid functionalities, robotic technologies appear in many areas such as military operations, space exploration, industrial production, healthcare etc. to replace human to perform safer, faster and more accurate job. Although, until today, humanoid robotics researchers have been focusing on human like robotics, healthcare robotics have advanced to a next generation needs of emerging technology to serve patients more than a human can do. Super-Humanoid Healthcare Robotics is a field of research that crosses the limit of human perception. Given, no human can non-intrusively sense health-relevant vital signs such as heart rate, stress level, breathing rate, blood glucose level, depression level, memory loss etc. super-humanoid healthcare robotics not only act like human but also fill the gaps between the capabilities of current and the next- generation needs. In this presentation, Dr. Alam will present the current trends of super- humanoid healthcare robotics research, the design principles, future vision and solution. He will also introduce some of the on-going projects in CUBICS lab and share future plan.