Category: CS Research Seminar Series

Integrating Interactive Devices with the User’s Body

Guest Speaker: Pedro Lopes, Assistant Professor in Computer Science, University of Chicago Moderated by Dr. Reza Rawassizadeh, Associate Professor of Computer Science Abstract: The main question that drives my research is: what is the next interface paradigm that supersedes wearable devices? I argue that the new paradigm is one in which interactive devices will integrate […]

Developing a Framework for Natural Language Processing of Clinical Documents

Guest Speaker: Dr. Frank Meng, Assistant Professor of Medicine in General Internal Medicine, Boston University School of Medicine Moderated by Dr. Guanglan Zhang, Associate Professor of Computer Science Abstract: The capturing of increasingly more and more patient data by healthcare systems has enabled much innovative advancements in medical science and patient care through the application […]

How to Make Your Own StatQuest!!!

How to Make Your Own StatQuest!!! December 6, 2021 Guest Speaker: Dr. Josh Starmer, StatQuest Moderated by Dr. Reza Rawassizadeh, Assistant Professor of Computer Science Abstract: Hi! I’m Josh Starmer and I make YouTube videos that clearly explain Data Science, Statistics and Machine Learning Topics. In this talk I’ll describe the methods I use to […]

Extrapolating the Research Timeline of HCI: Cyber Meets Physical

Extrapolating the Research Timeline of HCI: Cyber Meets Physical November 17, 2021 Speaker:Dr. Max Mühlhäuser, Professor, University of Darmstadt Moderated by Dr. Reza Rawassizadeh, Associate Professor of Computer Science Abstract:We witness the era of digital transformation: ever more areas of our business and everyday lives are pervaded by information and communication technologies. However, the majority […]

Vulnerability Relationship between Feature Vector Scale and Convolutional Neural Networks with Adversarial Examples

Vulnerability Relationship between Feature Vector Scale and Convolutional Neural Networks with Adversarial Examples October 21, 2021 Guest Speaker: Dr. Sang-Woong Lee, Professor, Gachon University Moderated by Dr. Reza Rawassizadeh, Assistant Professor of Computer Science Abstract: In the field of image classification, Deep Convolutional Neural Networks can misclassify images by perturbation noise. Images that are artificially […]

Passive Sensing Analytics and Mobile Health

Passive Sensing Analytics and Mobile Health September 23, 2021 Speaker: Dr. Nabil Alshurafa, Assistant Professor of Preventive Medicine, Northwestern University Moderated by Dr. Reza Rawassizadeh, Associate Professor of Computer Science Abstract: Researchers seek to understand human behaviors in their natural setting so they can design interventions that help manage symptoms, prevent illness, and improve health […]

The Smart Hospital Living Lab

The Smart Hospital Living Lab Speaker: Vasillis Kostakos, Professor of Human Computer Interaction, University of Melbourne Moderated by Professor Reza Rawassizadeh March 25, 2021 Abstract: In this talk I will present a range of projects we have recently begun under the “Smart Hospital Living Lab” in Melbourne. The work is still ongoing, so I will […]

Striim, A Next Generation Distributed Streaming Platform

Striim, A Next Generation Distributed Streaming Platform Speaker: Alok Pareek February 25, 2021 Moderated by Professor Kia Teymourian Abstract: Striim is a novel end-to-end distributed streaming ETL and intelligence platform that enables rapid development and deployment of streaming applications. A key area of innovation is to process database events in a continuous streaming manner while […]

Application of Machine Learning to Construct Investment Portfolios

Application of Machine Learning to Construct Investment Portfolios Speaker: Dr. Eugene Pinsky, Associate Professor of the Practice Moderated by: Kia Teymourian, Assistant Professor of Computer Science January 28, 2021 Abstract: One of the primary applications of machine learning methods is to uncover patterns from historical relationships and trends in the data. In unsupervised learning, we […]