Seminar

Research seminar 

Small scale robots have the potential to offer many unique applications for minimally invasive surgery, sensing and drug delivery in healthcare as well as more generally for microfactories and as scientific tools. They are precise end-effectors that can manipulate objects with a high degree of accuracy. Many surgical and on-chip tasks can be performed by manipulating these robots in their dedicated environments.

In her most recent book, Discriminating Data (2021), Wendy Chun reveals how polarization is a goal—not an error—within big data and machine learning. These methods, she argues, encode segregation, eugenics, and identity politics through their default assumptions and conditions. Correlation, which grounds big data's predictive potential, stems from twentieth-century eugenic attempts to “breed” a better future. Recommender systems foster angry clusters of sameness through homophily. Users are “trained” to become authentically predictable via a politics and technology of recognition.

Speakers

• Dr. David Price, MD
  Professor and Past Chair, Department of Family Medicine, McMaster University

• Dr. William Orovan, MBA, MD
  Professor, Urology and Urological Oncology, McMaster University; Associate Dean, Clinical Services - Faculty of Health Sciences, McMaster Medical School

Presented by: Baoshi Sun, MASc student, Systems Design Engineering 

Abstract: As one of the most essential factors of learning environment, lighting in classroom has been found to have significant impact on student performance. Moreover, brightness level and correlated color temperature (CCT) are the two key luminous properties that have been examined in many relevant studies. And researchers were increasingly focusing on the diversity of luminous requirements under different learning context.

Presenter 
Rongbing Xu, Master's student, Department of Systems Design Engineering 

The Conrad School is hosting a Speaker Series to celebrate Women Entrepreneurship Week 2021 with Montclair University and other institutions around the globe. Celebrate with us!

As a society we have reached an inflection point where disparities in technology adoption rate by age group, amid the pandemic, and technological innovations are altering the landscape of the healthcare, creating both opportunities and challenges for improving healthy aging. Today, a person can expect to live an average of 22 years longer than people who were alive 70 years ago. There is evidence of the accelerated diffusion of technologies; however, data show consistent disparities in adoption rates.

Computer vision systems can play an important role in providing care to individuals living with physical or cognitive disability. This talk will provide an overview of several vision-based systems under development for such purpose. Examples include ambient monitoring of pain in older adults with dementia and ambient monitoring of fall risk in older adults residing in long-term care facilities.

Successful development of technology--and training of technology innovators and researchers--is challenging and inherently interdisciplinary. This is especially true when designing for user populations that are younger, older, or are living with impairments and disabilities.