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 Clinical Medicine

 

 

 

Become an Online Course Facilitator with J-WEL!

Data Science and CoLAB:
The Program in Data Science, run by CoLAB; an alliance of Plan Ceibal, Universidad Tecnologica de Uruguay (UTEC), ant Agencia Nacional de Investigación E Innovación (ANII); aims to train professionals to start an educational transformation in data science and analytics in the Cono Sur, and promote Uruguay as a hub for new start-ups and enterprises in data science throughout Latin America.
The Program includes courses from the MITx MicroMasters in Statistics and Data Science: Probability - the Science of Uncertainty, Data Analysis for Social Scientist, Fundamentals of Statistics, and Machine Learning with Python - from Linear Models to Deep Learning.

Facilitators ad and job description:
The MIT Jameel World Education Lab (J-WEL) Higher Education is hiring graduate students and postdocs to create and lead weekly online recitations for a group of Latin American students taking the courses "Fundamentals of Statistics (18.650x)," "Machine Learning with Python (6.860x),” and "Probability: the Science of Uncertainty," offered by edX, and that are part of the Program in Data Science Uruguay.
We seek candidates with a weekly availability of 10-15 hours for 16 weeks, knowledge in the course to be facilitated, as well as a deep interest on improving their teaching and leadership skills. Approval from their PI and department administrator is required. The weekly sessions will be delivered via video-conference and the session plans will be co-created with a team from MIT and Uruguay. A total commitment for approximately 16 weeks is necessary. You will receive training in pedagogy, leading and facilitating activities online, and promoting student learning.

Payment:
A maximum of 10k for a facilitator position involved in the creation of session plans as well as facilitating them. The expected load is between 10-15 hours/week for approximately 16 weeks.

For more information please send your CV and questions to datafacilitators@mit.edu and salancho@mit.edu

 

 

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

October

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

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
 

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
 

We welcome Dr. Şebnem Özdemir, Assistant Professor from Istinye University, Istanbul Turkey
 

May

Spatial Coevolutionary Deep Neural Networks Training
Jamal Toutouh
Universidad de la Republica, Montevideo Uruguay
 

An Artificial Coevolutionary Framework for Adversarial AI
Jamal Toutouh
Universidad de la Republica, Montevideo Uruguay
 

An Artificial Coevolutionary Framework for Adversarial AI
Erik Hemberg
MIT - Lincoln Lab, Cambridge MA USA
 

Artificial Adversarial Intelligence for Cybersecurity
Una-May O'Reilly
IBM, Tokyo Japan
 

We welcome Dhruv Sumathi and Alexander Shushkov, Interns from Weston High School
 

April

Spatial Evolutionary Generative Adversarial Network
Erik Hemberg
SystemsThatLearn@CSAIL, Research Update Report, Cambridge MA USA
 
 

We welcome a new Postdoctoral Fellow to the group Dr. Behnaz Bostanipour, from University of Lausanne, Switzerland, sponsored by the Postdoctoral Mobility Fellowship of the Swiss National Science Foundation.

 

March

Flipping Sign Bits is All You Need to Craft Black-Box Adversarial Examples
Abdullah Al-Dujaili
IBM Research, Cambridge MA USA
 

Technology Trends in Cybersecurity, Artificial Intelligence and Machine Learning
Una-May O'Reilly
Canadian Embassy of the USA, Washington DC USA
 

Adversarial Dynamics; Anticipicating The Next Move
Una-May O'Reilly
AI/ML Cyber Defense Ops, Workshop on Implications of AI and Cybersecurity, R&D and Emerging Areas Panel
NASEM AI and CyberSecurity Workshop, Washington DC USA
 

We welcome Sagar Biswas, visiting student from Manipal University, Jaipur India in collaboration with Hong Kong University, Hong Kong HK

 

January

Artificial Adversarial Intelligence
Una-May O’Reilly
AAAI-19, 33rd AAAI Conference on Artificial Intelligence, Honolulu HI USA
 

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

 

 

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