Events

Apr 16 - Apr 22, 2023

Serverless Computing: With Great Freedom Comes Great Opportunity!

Marco Canini, Associate Professor, Computer Science

Apr 17, 12:00 - 13:00

B9 L2 H2 H2

serverless computing

Apr 9 - Apr 15, 2023

A personal path from mathematics to biomedical research

Apr 12, 12:00 - 13:00

B2 L5 R5209

Biomedical Computational biology

Web-based 3D Visualization

Ivan Viola, Professor, Computer Science

Apr 10, 12:00 - 13:00

B9 L2 H2 H2

nanovisualization computer graphics 3D graphics WebGPU WebAssmbly

Apr 2 - Apr 8, 2023

Cybersecurity of Industrial Control Systems - Challenges and Research Directions

Awais Rashid, Professor of Cybersecurity, the University of Bristol, Director of the EPSRC Centre for Doctoral Training in Trust, Identity, Privacy and Security in Large-Scale Infrastructures

Apr 3, 12:00 - 13:00

B9 L2 H2 H2.

cybersecurity industrial control systems

Mar 26 - Apr 1, 2023

End-to-Same-End Encryption: Modularly Augmenting an App with an Efficient, Portable, and Blind Cloud Storage

Qiang Tang, Senior Lecturer (equal to U.S. Associate Professor), the University of Sydney

Mar 30, 12:00 - 13:00

B4 L5 R5220.

cloud storage End-to-Same-End-Encryption

Challenges in ML for Sustainable Development

Prof. Laure Berti, Computer Science, Research Director, French Institute of Research for Sustainable Development (IRD)

Mar 28, 14:00 - 15:00

B1 L4 R4214

data cleaning and preparation data fusion

Thoughts on software and systems engineering - 2023-03-27

Eric Feron, Professor, Electrical and Computer Engineering

Mar 27, 12:00 - 13:00

B9 L2 H2 H2

Mar 19 - Mar 25, 2023

Making federated learning practical and confidential

Dr. Ruichuan Chen, Distinguished Member of Technical Staff and a Tech Lead, Nokia Bell Labs

Mar 23, 15:30 - 16:30

B4 L5 R5209

Federated learning

Interpretation, Verification and Privacy Techniques for Improving the Trustworthiness of Neural Networks

Arnaud Dethise, Ph.D. Student, Computer Science

Mar 22, 12:30 - 14:30

B1 L3 R3119

Tackling credential abuse together

Michael Reiter, James B. Duke Distinguished Professor, Departments of Computer Science and Electrical & Computer Engineering, Duke University

Mar 20, 12:00 - 13:00

B9 L2 H2 H2.

data security

Mar 12 - Mar 18, 2023

Robust Geometry Processing for Physical Simulation

Prof.Daniele Panozzo

Mar 13, 15:45 - 16:45

B4 L5 R5209

geometry processing physical simulation

Inter-Surface Maps

Prof.Leif Kobbelt

Mar 13, 14:30 - 15:30

B4 L5 R5209

inter-surface maps 3D shapes

Discrete Surfaces from Developable Strips

Prof.Christian Müller

Mar 13, 13:30 - 14:30

B4 L5 R5209

Geometry geometry processing developable strips

Computing in the Specialization Era

Prof.Gustavo Alonso, Computer Science, ETH Zurich

Mar 13, 12:00 - 13:00

B9 L2 H2 H2

cloud computing FPGA Hardware acceleration

Cohomology in fluids

Prof.Albert Chern

Mar 13, 11:15 - 12:15

B4 L5 R5209

fluids cohomology fluid dynamics Geometry geometry processing

Discrete Laplacians for Polygons and Polyhedral

Prof.Mario Botsch

Mar 13, 10:15 - 11:15

B4 L5 R5209

discrete laplacians polygons polyhedra computer graphics

5-axis flank CNC machining of free-form surfaces using custom-shaped tools

Dr.Michael Barton

Mar 13, 09:00 - 10:00

B4 L5 R5209

free-form surfaces geometric computing

Workshop on Applied Geometry and Visual Computing

Mar 13, 08:55 - 17:00

B4 L5 R5209

applied geometry visual computing discrete differential geometry geometry processing

Mar 5 - Mar 11, 2023

An Overview of Systems Research at TU Munich

Pramod Bhatotia, Chair Professor, Department of Computer Science, the Technical University of Munich (TUM), Germany.

Mar 9, 15:30 - 16:30

B4 L5 R5209

distributed systems operating systems

A Data Science Pipeline for Big Linked Earth Observation Data

Prof.Manolis Koubarakis, Informatics and Telecommunications, National and Kapodistrian University of Athens

Mar 6, 12:00 - 13:00

B9 L2 H2 H2

pipeline Geospatial Data GeoSPARQL

Feb 26 - Mar 4, 2023

Controlling acoustic wave propagation via rotational motion

Ying Wu, Professor, Applied Mathematics and Computational Sciences

Feb 27, 12:00 - 13:00

B9 L2 H2 H2

acoustic waves

Learned Optics — Improving Computational Imaging Systems through Deep Learning and Optimization

Wolfgang Heidrich, Professor, Computer Science

Feb 26, 12:00 - 13:00

B9 L2 H2

Learned Optics

Feb 19 - Feb 25, 2023

Visualization Methods for Graphs&Networks

Prof.Oliver Deussen, Visual Computing, University of Konstanz

Feb 20, 12:00 - 13:00

B9 L2 H2 H2

visualization force-directed layouts stress-based methods vector-based constraints

Feb 12 - Feb 18, 2023

Generative Models for Neural Fields

Ivan Skorokhodov, Ph.D. Student, Computer Science

Feb 15, 20:10 - 22:00

B1 L2 R2202

Deep generative models

Extracting Semantic and Geometric Information in Images and Videos using GANs

Rameen Abdal, Ph.D. Student, Computer Science

Feb 15, 18:00 - 20:00

B1 L2 R2202

GaN

Entrepreneurship Explored

Prof.Bülent Erbilgin and Dr.Lama Hakem, KAUST Entrepreneurship Center

Feb 13, 12:00 - 13:00

B9 L2 H2 H2

entrepreneurship Market marketing

Designing, Synthesizing, and Automating Domain-Specific Accelerators

Jian Weng, PhD student, Computer Science Department, UCLA

Feb 12, 08:30 - 09:30

KAUST

Digital signal processing

Feb 5 - Feb 11, 2023

Vulnerability discovery in binaries and protocols

Prof. Sven Dietrich, the Computer Science Department, Hunter College, the City University of New York (CUNY)

Feb 9, 15:30 - 16:30

B5 L5 R5209

software

Point processes and their application to modeling drug seizure and overdose interactions

Prof. George Mohler, Computer Science, Boston College

Feb 8, 17:00 - 18:00

KAUST

point processes stochastic models

Machine-learning-assisted Quality of Transmission Estimation in Optical Networks

Andrea Bianco, Full Professor, Electronics and Telecommunications Department at Politecnico di Torino

Feb 8, 13:00 - 14:00

B9 L4 R4125

machine learning explainable AI framework artificial intelligence

EF21-P and friends: Improved theoretical communication complexity for distributed optimization with bidirectional compression

Feb 6, 12:00 - 13:00

B9 L2 H2 H2

EF21-P distributed optimization gradient descent operation

Jan 29 - Feb 4, 2023

Fighting against cyber threats from a system perspective

Prof. David Bromberg, Distributed computing systems, University of Rennes (IRISA)

Feb 2, 15:30 - 16:30

B4 L5 R5220.

cyber threats

Prototypical Random Walk Learning Mechanisms for Few-shot Learning, Novel Visual Generation, and (Continual)? Zero-shot Recognition

Mohamed Elhoseiny, Associate Professor, Computer Science

Jan 30, 12:00 - 13:00

B9 L2 H2 H2

prototypical random walks zero-shot recognition

Jan 22 - Jan 28, 2023

Securing data against non-conventional adversaries

Prof. Mohammad Mannan, Concordia Institute for Information Systems Engineering, Concordia University, Montreal

Jan 26, 15:30 - 16:30

B4 L5 R5220.

data security

Towards Richer Video Representation for Action Understanding

Humam Alwassel, Ph.D. Student, Computer Science

Jan 23, 18:30 - 20:30

B2 L5 R5209

Computer Vision machine learning Human Activity Recognition

Principles and practice of TEE replication (and beyond)

Prof.Rodrigo Rodrigues, Instituto Superior Tecnico (ULisboa)

Jan 23, 12:00 - 13:00

B9 L2 R2322 H1

TEE replication TEEMS CFT replication protocol

Dec 4 - Dec 10, 2022

Reynolds-robust preconditioners for the stationary incompressible Navier--Stokes equations

Prof.Patrick Farrell, University of Oxford

Dec 5, 12:00 - 13:00

B9 L2 R2322 H1

Navier-Stokes equation Robustness

Nov 27 - Dec 3, 2022

Bridging the Gap between the Academia and Industry by Extending High-Quality Research to Practical Business Needs

Dr.Syed Adnan Yusuf

Nov 28, 12:00 - 13:00

B9 L2 R2322 H1

Computer Vision robotics automation IoT nlp artificial intelligence

Nov 20 - Nov 26, 2022

On training algorithms for neural networks

Jinchao Xu, Professor, Applied Mathematics and Computational Sciences

Nov 21, 12:00 - 13:00

B9 L2 R2322 H1

Deep learning deep neural networks

Nov 13 - Nov 19, 2022

Parameter-Free Online Optimization: Past, Present, and Future

Francesco Orabona, Associate Professor of Electrical and Computer Engineering, Boston University

Nov 14, 12:00 - 13:00

B9 L2 R2322

Parameter-free online optimization machine learning

Nov 6 - Nov 12, 2022

Introduction to Computer Simulation - A short course II - Part 3

Prof. Michal Mankowski, Assistant Professor of Operations Research, Erasmus University Rotterdam, Netherlands

Nov 10, 10:00 - 11:30

B1 L3 R3119

Introduction to Computer Simulation - A short course II - Part 2

Prof. Michal Mankowski, Assistant Professor of Operations Research, Erasmus University Rotterdam, Netherlands

Nov 9, 10:00 - 11:30

B1 L3 R3119

Introduction to Computer Simulation - A short course II - Part 1

Prof. Michal Mankowski, Assistant Professor of Operations Research, Erasmus University Rotterdam, Netherlands

Nov 8, 10:00 - 11:30

B1 L3 R3119

Thoughts on how to Effectively Explore Visual Representations in Mixed Reality

Tobias Isenberg, Senior Research Scientist, Inria

Nov 7, 12:00 - 13:00

B9 L2 R2322 H1

virtual reality data visualisation Scientific Visualization

Oct 30 - Nov 5, 2022

Everything PhD students always wanted to know about research* (*but were afraid to ask)

Oct 31, 12:00 - 13:00

B9 L2 R2322 H1

scientific research PhD student

Oct 23 - Oct 29, 2022

Applied AI for sustainable development

Prof.Evgeny Burnaev, Applied AI Center, Skolkovo Institute of Science and Technology

Oct 24, 12:00 - 13:00

B9 L2 R2322 H1

Skoltech machine learning Bayesian modeling artificial intelligence

Oct 16 - Oct 22, 2022

Inference for Longitudinal Data After Adaptive Sampling

Prof. Susan Murphy, Statistics and Computer Science and Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University

Oct 20, 15:00 - 16:00

B9 L2 H2

Reinforcement Learning

We used Reinforcement Learning; but did it work?

Prof. Susan Murphy, Statistics and Computer Science and Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University

Oct 19, 16:00 - 17:00

B9 L2 H2

Reinforcement Learning Digital Behavioral Health

Oct 9 - Oct 15, 2022

EF-BV: distributed optimization with compressed communication

Laurent Condat, Senior Research Scientist, Computer, Electrical and Mathematical Sciences and Engineering

Oct 10, 12:00 - 13:00

B9 L2 R2322 H1

big data distributed computing Federated learning

Oct 2 - Oct 8, 2022

Towards Structured Intelligence with Deep Graph Neural Networks

Guohao Li, Ph.D. Student, Computer Science

Oct 5, 18:00 - 20:00

B5 L5 R5209

graph machine learning Graph Neural Networks