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)

	Mar 3, 10:00 - 11:30, Knowledge-based methods in life sciences (B9 L2 H2 R2325), Robert Hoehndorf, Associate Professor, Computer Science	bioinformatics, Computer science, knowledge representation, Public Colloquium
	Nov 11, 12:00 - 13:00, Langevin Monte Carlo as an optimization algorithm (B9 L2 H1 R2322), Adil Salim, Postdoctoral Research Fellow, Computer Science	Graduate Seminar, Langevin Monte Carlo, machine learning, optimization
	Feb 4, 13:00 - 14:00, Large-scale Text and Data Integration for Cancer Genomics Research (B19 L3 H2), Prof. D, Rebholz-Schuhmann (University Cologne, Germany)	cancer research, data mining, genomics, semantic technologies, Seminar, text mining
	Feb 23, 15:00 - 16:30, Large-Scale Visualization of Scientific Data (KAUST), Markus Hadwiger, Professor, Computer Science	data visualisation, Public Colloquium
	Aug 31, 12:00 - 13:00, Large-Scale Visualization of Scientific Data: Volume Data and Flow Fields - 2020-08-31 (KAUST), Markus Hadwiger, Professor, Computer Science	Graduate Seminar
	Aug 30, 12:00 - 13:00, Large-Scale Visualization of Scientific Data: Volume Data and Flow Fields - 2021-08-30 (B9 R2322 H1), Markus Hadwiger, Professor, Computer Science	Graduate Seminar
	Apr 17, 17:30 - 18:30, Latent Space Manipulation of GANs for Seamless Image Compositing (B5 L5 R5220), Anna Fruehstueck, Ph.D., Computer Science	Generative Adversarial Networks, image synthesis, Ph.D. Dissertation Defense, texture synthesis
	Apr 1, 11:30 - 12:30, Learned Imaging Systems (B9 L2 H2), Wolfgang Heidrich, Professor, Computer Science	Graduate Seminar
	Feb 26, 12:00 - 13:00, Learned Optics — Improving Computational Imaging Systems through Deep Learning and Optimization (B9 L2 H2), Wolfgang Heidrich, Professor, Computer Science	Graduate Seminar, Learned Optics
	Oct 7, 12:00 - 13:00, Learning for Visual Data Synthesis and Analysis (B9 L2 H1 R2322), Dr. Timo Ropinski, Professor, Visual Computing, Ulm University, Germany	Deep learning, estimation and segmentation, Graduate Seminar, Monte carlo methods, visual data analysis, visual data synthesis
	Sep 14, 11:30 - 12:30, Learning from Scholarly Attributed Graphs for Scientific Discovery (KAUST), Uchenna Akujuobi, Ph.D., Computer Science	Ph.D. Dissertation Defense
	Nov 12, 15:00 - 16:30, Learning Sequential Modeling Algorithms for Motion Forecasting, Reinforcement Learning, and Vision-Language Understanding (B1 L4 R4214), Deyao Zhu, Ph.D. Student, Computer Science	Ph.D. Dissertation Defense
	Feb 26, 11:30 - 12:30, Learning with Longitudinal Electronic Health Record Data (B9 L2 H2), Ricardo Henao, Associate Professor (former), Bioengineering	Graduate Seminar
	Apr 5, 14:00 - 16:00, Learning-Based Approaches for Next-Generation Intelligent Networks (KAUST), Liang Zhang, Ph.D. Student, Electrical and Computer Engineering	communication network problems, communication networks, Ph.D. Dissertation Defense
	Nov 11, 12:00 - 13:00, Lessons Learned In Building Trustworthy Systems with Trusted Execution Environments (B9 L3 R3223), Valerio Schiavoni, Scientific Coordinator and Lecturer, Centre of Competence for Complex Systems and Big Data, University of Neuchâtel	Seminar
	Feb 7, 15:00 - 16:00, Leveraging Readily Available Data for Low Resource Natural Language Processing (KAUST), Derry Wijaya, Assistant Professor, Computer Science, Boston University	Natural Language Processing, Seminar
	Feb 13, 12:00 - 13:00, Local flex markets from theory to practice: the UK landscape and international experiences (B1 L4 R4214), Jason Avramidis, Director of Innovation and International Flexibility Markets for OakTree Power, UK	Seminar
	Feb 22, 12:00 - 13:00, Look Here! Guiding Attention in Complex Visualizations (KAUST), Manuela Waldner, Assistant Professor at the Research Unit of Computer Graphics of the Institute of Visual Computing and Human-Centered Technology at TU Wien, Austria	Graduate Seminar
	Sep 3, 16:00 - 17:00, Machine Learning Models for Biomedical Ontology Integration and Analysis (KAUST), Fatima Zohra Smaili, Ph.D. Student, Computer Science	Ph.D. Dissertation Defense
	Nov 4, 10:00 - 11:00, Machine Learning Models for Context Aware Recommendation Systems (B3 L5 R5209), Basmah Altaf, Ph.D., Computer Science	contextual constraints, Deep learning, machine learning, modeling, Ph.D. Dissertation Defense, popularity bias effect, quality recommendation, recommender systems
	Feb 19, 12:00 - 13:00, Machine Learning Scan of Complete Genome Sequences of 4,500 Rice Varieties reveals Secrets in the Domestication Process of Crops (B9 L2 H2 R2325), Takashi Gojobori, Distinguished Professor, Bioscience	artificial intelligence, Lecture, machine learning
	Feb 8, 13:00 - 14:00, Machine-learning-assisted Quality of Transmission Estimation in Optical Networks (B9 L4 R4125), Andrea Bianco, Full Professor, Electronics and Telecommunications Department at Politecnico di Torino	artificial intelligence, explainable AI framework, machine learning, Seminar
	Mar 14, 18:30 - 19:30, Making Autonomous Driving more Reliable using Live 3D Digital Twins (KAUST), Fawad Ahmad, PhD Candidate, Computer Science Department, University of Southern California	Graduate Seminar
	Mar 23, 15:30 - 16:30, Making federated learning practical and confidential (B4 L5 R5209), Dr. Ruichuan Chen, Distinguished Member of Technical Staff and a Tech Lead, Nokia Bell Labs	Federated learning, Seminar
	Apr 13, 16:00 - 17:00, Making LLMs Agentic: How Tool Use and Synthetic Data Drive Real-World Intelligence (B2/3 L0 R0215), Ibrahim Abdelaziz, Senior Research Scientist, IBM	AI, artificial intelligence, LLM, machine learning, Seminar
	Nov 2, 12:00 - 13:00, Making RPCs first class datacenter citizens (KAUST), Marios Kogias, Researcher, Microsoft Research	Graduate Seminar
	Mar 29, 14:30 - Mar 30, 17:15, Masterclass on Visual Computing (KAUST), Dominik Michels, Helmut Pottmann, Ivan Viola, Peter Wonka, Soeren Pirk, Wolfgang Heidrich	Masterclass, visual computing
	Jul 9, 16:00 - 17:00, Maximizing I/O Bandwidth for Out-of-Core HPC Applications on Heterogeneous Large-Scale Systems (KAUST), Tariq Alturkestani, Ph.D. Student, Computer Science	Ph.D. Dissertation Defense
	Oct 30, 11:30 - 12:30, Memory Forensics 2.0 (B9 L2 H2 H2), Davide Balzarotti, Professor and head of the Digital Security department, EURECOM, France.	cybersecurity, Lecture
	Feb 3, 12:00 - 13:00, Metrics, Mayhem, and Microservices: Taming the Cloud Observability Beast (B9, L2, R2325), Alessandro Cornacchia, Postdoctoral Fellow	Graduate Seminar
	May 17, 15:00 - 17:00, Mining Genome-Scale Growth Phenotype Data through Constant-Column Biclustering (B3 L5 R5209), Majed Alzahrani, Ph.D., Computer Science	Computational biology, data mining, machine learning, Ph.D. Dissertation Defense
	Oct 9, 11:30 - 12:30, Mitigating Bias in Predictions from Machine Learning Models (B9 L2 H2 H2), Ricardo Henao Associate Professor, Bioengineering	Graduate Seminar, machine learning, risk prediction, text generation
	Nov 5, 14:00 - 15:00, Mixed graphical-basis models for large nonstationary and multivariate spatial data problems (B1 L4 R4102), Dr. William Kleiber, Associate Professor of Applied Mathematics, University of Colorado, USA	multivariate spatial processes, Seminar, statistical climatology and statistics for energy sciences
	May 30, 15:30 - 16:30, ML-based Network Intrusion Detection Systems: Resilience threats and a mitigation approach (B4 L5 R5220), António Casimiro is an Associate Professor at the Department of Informatics of the University of Lisboa Faculty of Sciences (FCUL)	cyber threats, cybersecurity, Seminar
	May 4, 12:00 - 13:00, Modeling and Automated Storytelling of Mesoscale Molecular Models (KAUST), Ivan Viola, Professor, Computer Science	biological models, Graduate Seminar, multi-scale 3D visualization
	May 8, 12:00 - 14:00, Modeling and Simulation of Carbon Dioxide Storage in Geological Layers (B2 L5 R5220), Shuai Lu, Ph.D. Student, Computer Science	Ph.D. Dissertation Defense
	Dec 3, 12:00 - 13:00, Modelling and Simulation of Biological Systems - 2020-12-03 (KAUST), Gabriel Wittum, Professor (former), Applied Mathematics and Computational Science	Graduate Seminar
	Jul 6, 10:00 - 12:00, Modern Privacy-preserving Machine Learning: Rigorous Approach for Data Privacy (B3 L5 R5216), Zihang Xiang, Ph.D. Student, Computer Science	Differential privacy, Federated learning, Ph.D. Dissertation Defense, privacy-preserving machine learning
	May 29, 12:00 - 13:00, Modern Techniques of Statistical Optimization for Machine Learning (B9 H1), Tong Zhang, Professor of Computer Science and Mathematics, HKUST	HKUST, machine learning, nonconvex stochastic optimization, Seminar, statistics
	Oct 24, 14:30 - 16:30, Molecular Generation via Deep Generative Models (KAUST), Changsheng Ma, Ph.D. Student, Computer Science	Ph.D. Dissertation Defense
	Feb 17, 12:00 - 13:00, mR_LWE-CP-ABE: a Recoverable CP-ABE protocol for Post-quantum Cryptography (B9 L2 R2325), Dr. Elia Onofri, Researcher, The Institute of Applied Mathematics of the National Research Council of Italy	Cryptography, Graduate Seminar
	Feb 24, 12:00 - 13:00, Multi-layer Red Team vs. Blue Team Methods towards Secure Cyber-Physical Energy Systems (B9 L2 H1), Charalambos (Harrys) Konstantinou, Assistant Professor of Electrical and Computer Engineering with Florida A&M University and Florida State University (FAMU-FSU) College of Engineering	Cyber attacks and defenses, cybersecurity, Graduate Seminar
	Mar 29, 18:30 - 19:30, Multi-Scale GPU Resource Management for Deep Learning (KAUST), Mosharaf Chowdhury, Morris Wellman, Assistant Professor of CSE at the University of Michigan, Ann Arbor	Graduate Seminar
	Apr 30, 12:00 - 13:00, Multimodal Video Analysis (B9 L2 H2), Juan Carlos L. Alcazar, Postdoctoral Research Fellow, Image and Video Understanding Lab	Graduate Seminar, Multimodal Video Analysis
	Feb 17, 11:30 - 13:00, Nanovisualization: Depicting the Tiny World Around Us (KAUST), Ivan Viola, Associate Professor, Computer Science	nanovisualization, Public Colloquium
	Nov 20, 14:00 - 16:00, Natural Language Models For Unnatural Languages (B1 L2 R2202), Wamiq Para, Ph.D. Student, Computer Science	Ph.D. Dissertation Defense
	Mar 26, 09:00 - 10:00, Navigating NLP for Underrepresented Languages: Dataset Challenges, Efficient Techniques, and Evaluations (B9 L4 R4225), Fajri Koto, Postdoc, MBZUAI	Natural Language Processing, Seminar
	Nov 24, 11:00 - 12:00, Network Function Virtualization: What, Why and How? (B1 L3 R3119), Ahmed E. Kamal, Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA.	Seminar, Virtualized Network Function
	Oct 2, 11:30 - 12:30, Network Security, Internet Measurement and Threat Intelligence (B9 L2 H2 H2), Marc Dacier, Professor, Computer Science	Graduate Seminar, internet measurement, network security, threat intelligence
	Apr 18, 10:00 - 11:30, Neural Inductive Matrix Factorization for Predicting Disease-Gene Associations (B3 R5208), Siqing Hou, M.S., Computer Science	bioinformatics, Disease-Gene Associations, machine learning, Thesis Defense
	Apr 22, 11:30 - 12:30, Neural-symbolic Knowledge Representation with Ontology and Knowledge Graph Embeddings (B9 L2 H2), Dr. Jiaoyan Chen, Lecturer in Department of Computer Science, The University of Manchester	Graduate Seminar
	Dec 2, 12:00 - 13:00, Neuro-symbolic methods for Semantic Web ontologies (B9, L2, R2325), Robert Hoehndorf, Associate Professor, Computer Science	Graduate Seminar
	Sep 18, 11:30 - 12:30, Neuro-symbolic methods for Semantic Web ontologies (B9 L2 H2 H2), Robert Hoehndorf, Associate Professor, Computer Science	Graduate Seminar, neuro-symbolic methods, Ontologies, Semantic web
	Feb 25, 12:00 - 13:00, Neuro-symbolic systems in the life sciences (B9 H1 R2322), Robert Hoehndorf, Associate Professor, Computer Science	biomedical data, data analysis, Seminar, symbolic methods
	Jan 31, 12:00 - 13:00, New tools for symbolic computation in partial differential equations (KAUST), Diogo Gomes, Professor, Applied Mathematics and Computational Science	Graduate Seminar
	Feb 16, 16:00 - 18:00, Novel computational methods for promoter identification and analysis (B2 L5 R5209), Ramzan Umarov, Ph.D. Student, Computer Science	machine learning, Ph.D. Dissertation Defense, prediction tools, promoters, protein coding, RNA genes, TSS
	Apr 9, 16:00 - 17:00, Novel Computational Methods that Facilitate Development of Cyanofactories for Free Fatty Acid Production by Olaa Motwalli (B3 L5 R5209), Olaa A. Motwalli, Ph.D., Computer Science	bioinformatics, genomics, graph mining, machine learning, Ph.D. Dissertation Defense
	Dec 11, 10:00 - 12:00, Novel Computational Methods to Predict Drug–target Interactions Using Graph Mining and Machine Learning Approaches (B3 L5 R5220), Rawan Olayan, Ph.D., Computer Science	bioinformatics, data integration, data mining, graph mining, machine learning, Ph.D. Dissertation Defense
	Mar 1, 12:00 - 13:00, Novel computational models in biological imaging (KAUST), Xin Gao, Program Chair, Computer Science	Graduate Seminar
	Nov 16, 14:00 - 15:00, Novel Data Mining Methods for Virtual Screening of Biological Active Chemical Compounds by Othman Soufan (H2 B9), Othman Soufan, Ph.D., Computer Science	biomedical applications, Chemical compounds, Computational biology, data mining, machine learning, Ph.D. Dissertation Defense, visualization
	Mar 30, 14:00 - 15:00, Omics-based Metastasis Prediction using Machine Learning and Deep Learning (KAUST), Somayah Albaradei, Ph.D. Student, Computer Science	bioinformatics, Computational biology, Computer Vision, machine learning, Ph.D. Dissertation Defense
	Apr 29, 12:00 - 13:00, OmniLedger: A Secure, Scale-Out, Decentralized Ledger via Sharding (B9 L2 H1), Dr Philipp Jovanovic, École Polytechnique Fédérale de Lausanne (EPFL)	Graduate Seminar, scale out, security, transactions
	Nov 10, 11:30 - 13:00, On adopting Gauss maps into geometry tools for Computer-Aided Design (B1, L3, R3426), Victor Ceballos Inza, Ph.D. Student, Computer Science	computer-aided design, gauss maps, Ph.D. Dissertation Defense
	May 4, 09:00 - 11:00, On Complexity of Decision Trees for Decision Tables from Closed Classes (B5 L5 R5220), Azimkhon Ostonov, Postdoctoral Research Fellow, Computer Science	decision trees, machine learning, Ph.D. Dissertation Defense
	Mar 18, 12:00 - 13:00, On Discovering Nature’s Equations from Observations (KAUST), Jesper Tegner, Professor, BESE Division, KAUST	Graduate Seminar
	Apr 30, 14:00 - 15:00, On Knowledge Graph and Causality for Recommender Systems (B1 L4 R4214), Prof. Guandong Xu, School of Software and Advanced Analytics Institute, University of Technology Sydney	data mining, data science, Seminar, text and data analytics, University of Technology Sydney
	Oct 4, 17:00 - 18:00, On Seven Fundamental Optimization Challenges in Machine Learning (KAUST), Konstantin Mishchenko, Ph.D. Student, Computer Science	Ph.D. Dissertation Defense
	Apr 28, 12:00 - 13:00, On Singular Equations Modeling Electrostatic MEMS (B9 L2 R2325), Katerina Nik, Assistant Professor, Applied Mathematics and Computational Science	free boundary problems, Graduate Seminar, MEMS
	Mar 16, 12:00 - 13:00, On Studying Computer Science - 2020-03-16 (KAUST), Peter Wonka, Professor, Computer Science	Computer science, Graduate Seminar
	Sep 7, 12:00 - 13:00, On Studying Computer Science - 2020-09-07 (KAUST), Peter Wonka, Professor, Computer Science	Computer science, Graduate Seminar
	Nov 21, 12:00 - 13:00, On training algorithms for neural networks (B9 L2 R2322 H1), Jinchao Xu, Professor, Applied Mathematics and Computational Science	Deep learning, deep neural networks, Graduate Seminar
	Jul 20, 09:00 - 10:00, Ontology design patterns and methods for integrating phenotype ontologies (B3 L5 R5209.), Sarah Alghamdi, Ph.D. Student, Computer Science	bio-ontology, Ph.D. Dissertation Defense, phenotype ontologies
	Apr 10, 13:00 - 14:30, Ontology Design Patterns for Combining Pathology and Anatomy: Application to Study Ageing and Longevity in Inbred Mouse Strains (B9 R3120), Sarah Alghamdi, Ph.D. Student, Computer Science	biomedicine, computation techniques, data analysis, Ontologies, semantic analysis, Thesis Defense
	Sep 14, 16:00 - 18:30, Optimal Algorithms for Affinely Constrained, Distributed, Decentralized, Minimax, and High-Order Optimization Problems (B5 R5220), Dmitry Kovalev, Ph.D. Student, Computer Science	machine learning, optimization, Ph.D. Dissertation Defense
	Feb 10, 12:00 - 13:00, Optimal Reference Frames, Scaling and Features in Visualization (B9 L2 H1 R2322), Prof. Holger Theisel, Visual Computing, Magdeburg University	Graduate Seminar, visual computing, visualization
	Feb 5, 12:00 - 13:00, Optimization and Learning in Computational Imaging (B9 H1 R2322), Wolfgang Heidrich, Professor, Computer Science	computational imaging, Seminar
	Nov 14, 12:00 - 13:00, Parameter-Free Online Optimization: Past, Present, and Future (B9 L2 R2322), Francesco Orabona, Associate Professor of Electrical and Computer Engineering, Boston University	Graduate Seminar, machine learning, Parameter-free online optimization
	Feb 3, 12:00 - 13:00, Paving the Way for Next Generation Wireless Networks (B9 L2 H1 R2322), Basem Shihada, Professor, Computer Science	Graduate Seminar, IoT, networking
	May 22, 08:45 - May 24, 05:00, PCCFD - Predictive Complex Computational Fluid Dynamics (B9 L2 H1), David Keyes, Professor, Applied Mathematics and Computational Science	algorithms, applied mathematics, Computer science, numerical analysis, Workshop, CFD
	Mar 21, 12:00 - 13:00, Permutation compressors for provably faster distributed nonconvex optimization (B9 R2322 H1), Peter Richtarik, Professor, Computer Science	Graduate Seminar
	Sep 28, 12:00 - 13:00, Personalized, Predictive and Preventive Visual Analytics for Cancer Treatment (KAUST), Renata Raidou, Assistant Professor (Tenure Track) in Medical Visualization and Visual Analytics, and a Rosalind Franklin Fellow at the Bernoulli Institute of the University of Groningen, Netherlands	Graduate Seminar
	Sep 4, 11:30 - 12:30, Physics-based Simulation in Visual Computing (B9 L2 H2 H2), Dominik L. Michels, Associate Professor, Computer Science	Graduate Seminar, machine learning, physics-based simulation, visual computing
	Sep 25, 13:00 - 14:00, Point cloud and volume data reconstruction and visualization (B1 L2), Dr. Ciril Bohak, Postdoctoral Researcher, Faculty of Computer and Information Science, University of Ljubljana, Slovenia	point cloud, real-time rendering, Seminar, visualization, volume data reconstruction, web-based framework
	Feb 8, 17:00 - 18:00, Point processes and their application to modeling drug seizure and overdose interactions (KAUST), Prof. George Mohler, Computer Science, Boston College	point processes, Seminar, stochastic models
	Jan 1, 12:00 - 13:00, Practical Cryptographic Framework to Manage Security and Privacy for IoT Endpoint devices (B1 L4 R4214), Prof. Chunhua Su, Computer Science, University of Aizu	Cryptography, cybersecurity, device capabilities, IoT, machine learning, Seminar, user authentication, user's bio-features
	Apr 6, 19:30 - 21:30, Predicting Single Gene Loss of Function Phenotypes (KAUST), Maxat Kulmanov, Research Scientist, Bio-Ontology Research Group	Ph.D. Dissertation Defense
	Nov 6, 10:15 - 11:45, Prediction of active and inactive chemical compounds from high-throughput assays (B5 L5 R5209), Elaf Jameel Islam, M.S., Computer Science	machine learning, Thesis Defense
	Jan 8, 12:00 - 13:00, PREMA: Principled Tensor Data Recovery from Multiple Aggregated Views (B1 L4 R4214), Faisal M. Almutairi, Ph.D. Candidate, Electrical and Computer Engineering, University of Minnesota	data disaggregation algorithms, Seminar, University of Minnesota
	Feb 26, 09:00 - 10:00, Principled Scaling of Deep Neural Networks (B9 L4 R4225), Soufiane Hayou, Postdoc, Simons Institute, UC Berkeley	Neural Networks, Seminar
	Jan 23, 12:00 - 13:00, Principles and practice of TEE replication (and beyond) (B9 L2 R2322 H1), Prof.Rodrigo Rodrigues, Instituto Superior Tecnico (ULisboa)	CFT replication protocol, Graduate Seminar, TEE replication, TEEMS
	Jul 20, 13:00 - 17:00, Prioritizing Causative Genomic Variants by Integrating Molecular and Functional Annotations from Multiple Biomedical Ontologies (B2 L5 R5220), Azza Althagafi, Ph.D. Student, Computer Science	Ph.D. Dissertation Defense
	Apr 25, 12:00 - 13:00, Private Learning with Heavy-tailed Data (B9 R2322 H1), Di Wang, Assistant Professor, Computer Science	Graduate Seminar
	Feb 7, 12:00 - 13:00, Procedural Modeling of Botanical Trees (KAUST), Wojtek Palubicki is leading the Natural Phenomena Modeling Group at the Faculty of Mathematics and Compter Science at the Adam Mickiewicz University in Poznan.	Graduate Seminar
	Feb 27, 09:00 - 10:00, Programming Theory in Security Analysis: A Tripartite Framework for Vulnerability Specification (B9 L4 R4225), Yinxi Liu, PhD Student, Computer Science and Engineering, the Chinese University of Hong Kong	Seminar
	Mar 7, 16:00 - 18:00, Promoters identification and analysis (B1 L2 R2202), Ramzan Umarov, Ph.D. Student, Computer Science	Ph.D. Dissertation Defense, prediction tools, promoters, protein coding, RNA genes, TSS
	Jan 30, 12:00 - 13:00, Prototypical Random Walk Learning Mechanisms for Few-shot Learning, Novel Visual Generation, and (Continual)? Zero-shot Recognition (B9 L2 H2 H2), Mohamed Elhoseiny, Associate Professor, Computer Science	Graduate Seminar, prototypical random walks, zero-shot recognition
	Nov 5, 09:00 - 10:00, Prototyping Multiscale Cellular Visualization & Modeling Techniques for Hypothesis Generation, Communication & Learning (B9 H2 R2325), Graham Johnson, Allen Institute for Cell Science, USA	Workshop
	Dec 2, 12:00 - 13:00, Proximal Splitting Methods for Convex Optimization: An Introduction (B9 L2 H1 R2322), Laurent Condat, Senior Research Scientist, Computer Science	Graduate Seminar
	Jul 9, 14:00 - 15:00, Publishing Advanced Materials Science – How to maximize your success! (B3 L5 R5209), Dr. Jos Lenders, Deputy Editor, Advanced Materials, Wiley	advanced materials, materials science, Seminar, wiley
	Dec 5, 08:30 - 12:30, RC3 Advisory Board Distinguished Lectures Workshop (B5 L5 R5220), RC3 Advisory Board	Computer science, cybersecurity, resilience, Workshop