Event Content

Content Type

First Letter

(1) | 5 (1) | A (39) | B (21) | C (26) | D (31) | E (31) | F (11) | G (5) | H (7) | I (21) | K (7) | L (17) | M (26) | N (16) | O (16) | P (23) | R (25) | S (29) | T (42) | U (2) | V (8) | W (7) | Z (1) | Β (1)

	Apr 4, 12:00 - 13:00, Visualization for DNA Nanotechnology Design and Simulations (B9 R2322 H1), Ivan Viola, Professor, Computer Science	Graduate Seminar
	Feb 20, 12:00 - 13:00, Visualization Methods for Graphs&Networks (B9 L2 H2 H2), Prof.Oliver Deussen, Visual Computing, University of Konstanz	force-directed layouts, Graduate Seminar, stress-based methods, vector-based constraints, visualization
	Apr 15, 12:00 - 13:00, Visualizing Trees (B9 L2 H1 R2322), Prof. Xiaoru Yuan, Peking University	GoTree, Graduate Seminar, map metaphor, Peking University, Social media, tree visualisation, visual analytics
	Nov 1, 08:00 - 10:00, VSIM: Visualization and Simulation of Genomes for Premarital Testing (B3 L5 R5209), Azza Althagafi, Ph.D. Student, Computer Science	artificial intelligence, bioinformatics, genomics, machine learning, Thesis Defense
	Feb 9, 15:30 - 16:30, Vulnerability discovery in binaries and protocols (B5 L5 R5209), Prof. Sven Dietrich, the Computer Science Department, Hunter College, the City University of New York (CUNY)	Seminar, software
	Oct 19, 16:00 - 17:00, We used Reinforcement Learning; but did it work? (B9 L2 H2), Prof. Susan Murphy, Statistics and Computer Science and Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University	Digital Behavioral Health, Reinforcement Learning, Seminar
	Apr 10, 12:00 - 13:00, Web-based 3D Visualization (B9 L2 H2 H2), Ivan Viola, Professor, Computer Science	3D graphics, computer graphics, Graduate Seminar, nanovisualization, WebAssmbly, WebGPU
	Feb 20, 15:00 - 16:00, When Second Order Methods Shine: Big Batches, Bayes, and Bilevel (KAUST), Guodong Zhang, PhD student in University of Toronto	Seminar
	Aug 29, 12:00 - 13:00, Which came first: the paper or the peer-review? (B9 L2 R2322 H1), Marco Canini, Professor, Computer Science	Graduate Seminar
	Nov 27, 10:00 - 11:30, Why ML Works: It’s Not Magic, It’s Networked Systems Wizardry! (B9, L2, R2322), Marco Canini, Professor, Computer Science	computing system, machine learning, Public Colloquium
	Dec 4, 12:00 - 13:00, Will AI Replace Professors? (B2/B3 A0215), Pavel Pevzner, Ronald R. Taylor Chair and Distinguished Professor, Computer Science and Engineering, University of California, San Diego	Dean's Distinguished Lecture
	Mar 13, 08:55 - 17:00, Workshop on Applied Geometry and Visual Computing (B4 L5 R5209)	applied geometry, discrete differential geometry, geometry processing, visual computing, Workshop
	Sep 2, 12:00 - 13:00, Zero in on computational challenges in Nanopore sequencing (B9 L2 H1), Xin Gao, Program Chair, Computer Science	bioinformatics, DNA sequences, Graduate Seminar, machine learning, Nanopore Sequencing
	Apr 18, 15:30 - 16:30, β-contraction: a Framework for Contracting Coloured Networks. Use Cases and Applications (B4 L5 R5220), Dr. Elia Onofri, Research fellow, the Institute for Applied Mathematics of the National Research Council of Italy (IAC-CNR).	cryptocurrencies, networks, Seminar