CS 585: Graduate Seminar

Caveat: everything here is subject to change. Well, except the past.

• Syllabus
• Lecture Notes
• HW #1
• HW #2
• HW #3
• HW #4

8/21/23		Sana Algaraibeh, NMT	Techniques for Enhancing Compiler Error Messages (slides)
8/28/23		Vakhtang Putkaradze, U. Alberta	Lie-Poisson Neural Networks
9/4/23	Labor Day	no class
Fri 9/8/23		Kenny Gruchalla, NREL	From Data to Discovery at NREL: Advancing Insight through Visualization
9/11/23		Derrick Phillips, U. Idaho	MedSchoolPlus: A Web Application for Enhanced Medical Learning
Wed 9/13/23		Giri Krishnan, UCSD	Introducing sleep in deep neural network improves continual learning and generalization
9/25/23		Afsah Anwar, UNM	Improving the Security Response of Emerging Systems
10/2/23		Hasan Jamil, UIdaho	March of Large Language Models
10/9/23		Marat Talipov, NMSU	From Plastic Degradation to Catalyst Mechanisms: Bridging Computational Chemistry with Computer Science Innovations
10/23/23		David Torres, NNMC	Assessing Curriculum Efficiency through Monte Carlo Simulation
10/30/23		Nirmal Budhathoki, Microsoft	AI in Cyber Security - the Opportunities and Challenges
11/6/23		Jun Zheng, NMT	Machine learning and deep learning approaches for smart meter data analytics
Wed 11/29/23		Roopa Vishwanathan, NMSU	Blockchains and Cryptocurrencies: Current Research Challenges

• Seminars are Mondays except as noted.
• For some seminars, NMT hosts UIdaho.
• For other seminars UIdaho hosts and we will join them.
• For UIdaho-hosted joint seminars, use:

  Zoom Link: uidaho.zoom.us/j/88102373671, Meeting ID 881 0237 3671
  Passcode: UICS501