Alert: The Plaza Building will remain closed through Jan. 20, 2025.

Learn More

Advancing Research and Innovation for Aging and Disability (ARIAD)

A CU Denver Research and
Creative Work Grand Challenge

The Goal

The ARIAD team aims to cultivate a powerful collaborative network of academic experts, community stakeholders, and local, national, and international industry advisors and partners to address the grand challenge of aging and aging into disability facing our world today. Funding and research support is provided by CU Denver in order to lay the foundation for building CU Denver’s reputation as a leader in research and creative work. 

The Challenge

Public speaker in wheelchair in group with other adult lecturers.

One Billion

People live with disabilities worldwide.

Society is Aging

By 2030, one out of every five Americans will be at or above retirement age

Demand Fuels Innovation

One in two older adults will experience disability as they age.

Team Members

Headshot of Ashis Biswas in business casual shirt smiling

Ashis Biswas PhD

Assistant Professor Computer Science & Engineering
  • Computer Science Engineering (CEAS)

Email Address:ashis.biswas@ucdenver.edu

Mailing Address:
  • CU Denver

Lawrence Street Center

1380 Lawrence Street

LW-810

Denver, CO 80204

Dr. Biswas is an Assistant Professor in Computer Science & Engineering at the University of Colorado Denver. His primary research entails design and analysis of responsible machine learning and deep learning algorithms. As a naturally multi-disciplinary field, his research efforts span across diverse domains including bioinformatics, social networks, cybersecurity, education, and VLSI designs. Since he joined CU Denver, he has developed a machine learning laboratory (ML Lab, http://ml.cse.ucdenver.edu ) for conducting research with PhD and MS students and several academic and industry collaborators.

Center for Inclusive Design and Engineering (CIDE)

CU Denver

The Hub, Bioengineering

1224 5th Street

Suite 130

Denver, CO 80204


303-315-1280

CMS Login