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 Technology Clinical Medicine

 

 

 

 

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
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

2018

 

November

Computer Systems Arms Races

Una-May O’Reilly
Dalhousie University, Halifax Canada
Keynote Speaker: The ACM Canadian Celebration of Women in Computing, Halifax Canada

 

October

*2018 Best Spanish PhD Thesis in Smart Cities: Natural Computing for Vehicular Networks

Jamal Toutouh, Advisor: Dr. Enrique Alba, Universidad de Malaga
Awarded by The 2018 Conference of the Spanish Association for Artificial Intelligence (CAEPIA),
Sponsored by Sensors and the Spanish Network on Research for Smart Citiies (CI-RTI)
 

*Outstanding Poster Award: Machine Learning and Malware Arms Race

Abdullah Al-Dujaili, Alex Huang, Erik Hemberg, Una-May O'Reilly
2018 Horizons Colloquium, awarded on behalf of IBM Research
 

We welcome Carl Im, CEO, Solomon Strategic Consulting Limited, Seoul South Korea visiting to oberserve ALFA research

 

September

Data-driven bug Hunting - Tales from hunding down bugs in Ethereum's Solidity

Shashank Srikant
Systems That Learn @ CSAIL Annual  Meeting, Cambridge MA USA
 

Towards Robust and Scalable Generative Adversarial Networks

Una-May O’Reilly
Systems That Learn @ CSAIL Annual  Meeting, Cambridge MA USA
 

Computer Systems Arms Races

Una-May O’Reilly
Emtech MENA, Dubai UAE
Abdul Latif Jamell International, Dubai UAE
Parsons, Dubai UAE
 

We welcome a new group member, Jamal Toutouh, Post-doctoral Fellow from Universidad de Malaga, Spain

 

August

The Rise of Deep Learning

Una-May O’Reilly
Accenture, Webinar

 

July

Analysing Educational Data With MOOC-Learner-Project

Erik Hemberg
Kawasaki Heavy Industries Ltd., Akashi City Japan
ASICS Corporation, Kobe Japan
Toshiba Corporation - Corporate Research & Development Center, Kanagawa Japan
Center for Information Technology (CITE), Hong Kong University, Hong Kong
LearnLab Summer School, Carnegie Mellon University, Pittsburgh PA USA
 

Proactive Cyber Security

Erik Hemberg
Hitachi Ltd., Yokohama Research Laboratory, Kanagawa Japan
Konica Minolta, Tokyo Japan
 

We welcome Yanbang Wang and Ignavier Ng, undergrad students from Hong Kong University of Science and Technology under the HKUST-MIT IROP exchange program

We welcome Gili Rusak, undergraduate from Stanford University and Joesepth Ortiz, graduate student from Oxford for a summer research internships

 

June

STEALTH: Modeling Coevolutionary Dynamics of Tax Evasion and Auditing

Una-May O’Reilly
Fidelity Investments hosted by MIT Media Lab, Cambridge MA USA

 

February

Anticipating the Worst: How Adversarial Modeling Can Harden Network Designs

Una-May O’Reilly
BBVA, Tampa FL USA
 

Keynote: Computer Systems Arms Races

Una-May O’Reilly
Systems that Learn Conference, hosted by Imperial College London and MIT Industrial Liaison Program, London UK
 

Waveform Trajectories: Prediction via Model-based and Model-Free Machine Learning

Una-May O’Reilly
BP, London UK
 

We welcome Tom Schmiedlechner, graduate student from University of Applied Sciences, Upper Austra, Hagenburg Austria for a research internship

 

January

Computational Thinking: How Evolutionary Biology Inspires Algorithms

Una-May O’Reilly
Accenture, Bangalore India

 

Old News...