ANYSCALE LEARNING FOR ALL
Scalable machine learning technology, evolutionary algorithms, and data science frameworks for large-scale knowledge mining, prediction, analytics, and optimization with projects in cyber security, MOOC technology, software analysis, and clinical medicine
Research Themes
| Artificial Adversarial Intelligence | MOOC Data Analytics |
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Applications: Adversarial dynamics modeling, adversarial examples, adversarial hardening, malware detection and classification, automatic program analysis for vulnerabilities, deception, segmentation and peer to peer network defenses against DDOS, lateral stage and scanning attacks; artificial intelligence; MOOCs on computational thinking and programming, MOOC clickstream and activity data analysis with deep learning; Large scale physiological time series, EEG and other vital signals, leveraging deep learning and similarity-based retrieval.
| ALFA's research would not be possible without the past and ongoing support of our industry sponsors |
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| The views, opinions and positions expressed by ALFA Group and on this site are theirs alone, and do not necessarily reflect the views, opinions or positions of their sponsors |
ALFA Group is formerly the Evolutionary Design and Optimization Group
Recent News
2020
May
| Jamal Toutouh "Algorithms Inspired by Nature & Deep Learning" Communidad ECUSA, 2019 |
End of spring term is upon us. We wish the best of luck to all of our graduates and a safe and happy summer to students returning in the fall.
April
Check out the new Summer UROP and Fall SuperUROP projects!
February
We welcome Chathika Gunaratne, visiting postdoc from Complex Adaptive Systems Lab, University of Florida, Orlando Florida USA
ALFA welcomes back students for the Spring 2020 semester
We welcome Dirk Schweim, visiting PhD student from the Computer Science Department on Information Systems, Johannes Gutenberg University, Mainz Germany
January
ALFA welcomes a new group member, Bryn Reinstadler - PhD Candidate in Machine Learning.
2019
October
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Jitesh Maiyuran, Ayesha Bajwa, Ana Bell, Erik Hemberg, Una-May O'Reilly awarded Best Student Paper Award for How Student Background and Topic Impact the Doer Effect in Computational Thinking MOOCs, presented by Erik Hemberg during the conference IEEE LWMOOCS 2019 Milwaukee, 25th of October, 2019. |
Una-May is reconized for oustanding contributions in 2018 peer review by Nature Research journals!
Artificial Adversarial Intelligence
Una-May O'Reilly
MIT Horizon live event webinar, Cambridge MA USA
September
Representation Learning for Code Malware
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Sanja Simonovikj, ALFA UROP
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Artificial Adversarial Intelligence: What Star Wars Teaches Us About Adversarial Dynamics
Una-May O'Reilly
Symposium and Inaugural Speech for Prof. Dr. Peter A.N. Bosman: Back to the Future and Beyond; Traversing the Ever-evolving Landscape of Evolutionary Algorithms
Delft University of Technology, Delft Netherlands
ALFA welcomes new M.Eng and SuperUROP students to the group
August
We welcome Nicolas Lesimple, visiting Master's student, from L’Ecole Polytechnique Federale (EFPL) de Lausanne, Switzerland
July
Dr. Jamal Toutouh is awarded the Fellow of the Month of the Marie Sklodowska Curie Alumni Association -North America Chapter
June
Flipping Sign Bits is All You Need to Craft Black-Box Adversarial Examples
Abdullah Al-Dujaili
ICML Security Vulnerabilities of Machine Learning Systems Workshop, Long Beach CA USA
See a the video of Abdullah's talk HERE
We welcome Dr. Şebnem Özdemir, Assistant Professor from Istinye University, Istanbul Turkey
