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Author Archives: Jenny Marcinkowski

CS Senior Presents Research at AAAI FSS ToM for Teams

Alexander (AJ) ViolaAlexander (AJ) Viola, a computer science senior, presented his recent research work titled “Constructivist Approaches for Computational Emotions: A Systematic Survey” at the Association for the Advancement of Artificial Intelligence (AAAI) Fall Symposium Series (FSS) Computational Theory of Mind for Human-Machine Teams (ToM) on November 4, 2021.

Under the supervision of his mentor, Dr. Sejong Yoon, AJ conducted a systematic survey on an emerging topic in affective computing that aims to design and reason human emotions and computationally reproduce or predict them. This work is the outcome of his years of mentored research under Dr. Yoon’s supervision and will be submitted for publication as a post-proceeding journal article in December.

For more information on the AAAI FSS ToM for Teams, see: https://sites.google.com/view/tomforteams/

 

Colloquium Talk with Dr. Paul Youping Xiao, November 5: Deep Learning and Biomedical Imaging

Dr. Paul Youping Xiao of Bristol Meyers Squibb will give a virtual colloquium talk on Friday, November 5, from 12:30 – 1:30 PM.  Dr. Xiao has done extensive research in brain imaging and has pioneered the application of machine learning to the analysis of intrinsic optical imaging.

See below for more information about Dr. Xiao and the links for the event.

Abstract: Target segmentation is a crucial step in the analysis of biomedical images. Recent advances in deep learning have enabled automation of semantic and instance segmentations. At BMS we have applied the U-Net neural network and its variant to the segmentation of various targets in microscopic images with a sub-cellular resolution. The automated and consistent segmentations enable quantitative analyses of drug occupancy, T-cell infiltration and other metrics important for the development of novel drugs. The application of U-Net to analyzing biomedical images of various modalities will also be discussed.

Speaker Bio: Paul Youping Xiao has a bachelor’s degree in electronics, a master’s degree in physiology, and PhD in neuroscience. He has extensive experience in brain imaging including the discovery of color maps in the primate visual cortex. He pioneered the application of machine learning to the analysis of intrinsic optical imaging. At BMS he is leading the effort of automating high-content imaging with artificial intelligence.

Zoom Meeting (ID: 941 0711 6653/ Password: d7dnMrs5)

https://tcnj.zoom.us/j/96195035078?pwd=OTZ4V3VkZHFPZ1p6aGphTnAwUXZ0QT09

Colloquium Talk with Dr. Faisal Khan, October 19: AI and Data Science in Healthcare and the Lifesciences

Faisal Khan,

Dr. Faisal M. Khan, the Executive Director of Advanced Analytics and Artificial Intelligence at AstraZeneca, will give a virtual colloquium talk on Tuesday, October 19, from 12:30 PM – 1:30 PM. Dr. Khan is known for his work on the applications of machine learning and AI for healthcare and the life sciences.

See below for more information about Dr. Khan and the links for the event.

Abstract: Dr. Khan will discuss the broad range of applications that data science and AI are driving to impact live and improve health in healthcare and the life sciences. The talk will focus on various application areas, algorithmic and real-world challenges and issues which emerge, as well as things to keep in mind when deploying within regulated and industrial environments.

Speaker Bio:  Faisal M. Khan, Ph.D. is the Executive Director of Advanced Analytics and Artificial Intelligence at AstraZeneca. His team focuses on the applications of AI and data science throughout the drug discovery lifecycle, from target identification through Phase 3 trials and beyond. His interests focus on the intersections of data science, digital health, biostatistics, bioimaging, personalized medicine, and healthcare delivery. His career has encompassed all aspects of healthcare and biomedical analytics, including diagnostics, devices, clinical trials/therapeutics, and payers/insurance. Dr. Khan has worked or consulted across academia and industry with both startups and Fortune-50 companies. He has over 100 published papers, abstracts, and patents on the applications of machine learning and artificial intelligence for healthcare and the life sciences.

Zoom Meeting (ID: 961 9503 5078 / Password: N842wT31)

https://tcnj.zoom.us/j/96195035078?pwd=OTZ4V3VkZHFPZ1p6aGphTnAwUXZ0QT09

 

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