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

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.





Diversity Drives Innovation and Learning

At the Anyscale Learning For All (ALFA) Group, we mean Anyscale Learning for ALL. ALFA is dedicated to cultivating an inclusive culture that supports, promotes, and empowers diverse voices in Computer Science & AI. Our focus is to improve and build machine learning, AI, and data analytics technology that works for everyone.

Representation matters.

We want our research to be representative of everyone who benefits and learns from it. We value people with different experiences, perspectives, and backgrounds - it’s the cornerstone of our approach to learning and research. We celebrate diversity along many axes: race, religion, ethnicity, age, sex, national origin, sexual orientation, gender identity, gender expression, genetic disposition, neurodiversity, disability, veteran status and any other aspect which makes you unique.



ALFA's research would not be possible without the past and ongoing support of our industry sponsors
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




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.



Check out the new Summer UROP and Fall SuperUROP projects!



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



ALFA welcomes a new group member, Bryn Reinstadler - PhD Candidate in Machine Learning.





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


Representation Learning for Code Malware

Sanja Simonovikj, ALFA UROP
IBM AI Research Week, AI Horizons Colloquium Poster Social
MIT Samberg Conference Center, Cambridge MA



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


We welcome Nicolas Lesimple, visiting Master's student, from L’Ecole Polytechnique Federale (EFPL) de Lausanne, Switzerland


Dr. Jamal Toutouh is awarded the Fellow of the Month of the Marie Sklodowska Curie Alumni Association -North America Chapter


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