Research at LAMBDA involves researchers who specialize in relevant areas of AI and data science and provide a unique blend of expertise. Each member of the team has a solid academic background coupled with practical hands-on experience in various industries, such as manufacturing, cyber security, transportation, telecommunication, internet, retail, finance, semiconductors, energy and healthcare. The lab’s research relies on diverse methods, including supervised and unsupervised machine learning, structured/unstructured data extraction and analysis, text and graph mining algorithms, information theory applications, statistical process control, and deep learning to name a few. The lab offers a wide variety of activities including multidisciplinary research projects, collaborative development initiatives, conferences, workshops, and dedicated Hackathon events in cooperation with industry and academic partners.
RESEARCH TOPICS
-
Learning Algorithms
-
AI Algorithms & Applications
-
Classification Applications
-
Clustering Applications
-
Semi-supervised Learning
-
Deep Learning
-
Reinforcement Learning
-
Robotics
-
Anomaly Detection
-
Smart Cities and Smart Transportation
-
Industrial Applications
-
Text Mining
-
Scholar Knowledge Graphs
-
LAMBDA aims to provide a nurturing environment for talented students who seek to undertake advanced graduate studies in the fields of big data analytics and data science. To achieve this goal, the lab offers :
-
Access to an advanced big data infrastructure including hardware and software tools
-
Actual business cases with access to real data sources
-
Collaboration with industry partners in diverse domains
-
Lectures, workshops and events with scholars and practitioners
-
Opportunities to join start-ups and entrepreneurships
COURSES
-
Applications of Information Theory to Search Problems
-
Analytics in Action (taught at Stanford University) Syllabus
-
Data Analysis and Statistical Control Syllabus Virtual TAU
-
Method Engineering
-
Advanced Data Science
-
Integrated Production Systems
-
Testing and Advanced Process Control
-
AI & Business Analytics Lab
-
Introduction to Data Science
-
Introduction to Big Data Technologies