ABOUT USOVERVIEW

Welcome to M.Sc. Machine Learning & Data Science Program! The program is led by Prof. Zohar Yakhini and is in the Endrew and Erna Viterbi Faculty of Electrical and Computer Engineering at the Technion, Meyer Building.

M.Sc. Machine Learning & Data Science Program

Background

Our research group works on various topics in quantum communication and information theory. We study the optimal performance, reliability, and security limits in network communication, and the tradeoff between communication, key, and entanglement resources. Our research avenues include communication with unreliable entanglement assistance, security and covert communication, entanglement in multi-user networks, quantum coordination, environmental effects, and bosonic channels.

Professor Zohar YakhiniProf. Zohar Yakhini, founder of M.Sc. Machine Learning & Data Science Program

Prof. Zohar Yakhini teaches fundamental and advanced classes in statistics, machine learning, and their applications. He leads a research group focused on developing data science methodologies and applying them to various domains, with a particular emphasis on computational biology and life sciences. Prof. Zohar Yakhini teaches fundamental and advanced classes in statistics, machine learning, and their applications. He leads a research group focused on developing data science methodologies and applying them to various domains, with a particular emphasis on computational biology and life sciences.

Our Goals

GoalsOur research group works on various topics in quantum communication and information theory. We study the optimal performance, reliability, and security limits in network communication, and the tradeoff between communication, key, and entanglement resources. Our research avenues include communication with unreliable entanglement assistance, security and covert communication, entanglement in multi-user networks, quantum coordination, environmental effects, and bosonic channels.

Our research group works on various topics in quantum communication and information theory. We study the optimal performance, reliability, and security limits in network communication, and the tradeoff between communication, key, and entanglement resources. Our research avenues include communication with unreliable entanglement assistance.

Our Mission

MissionOur research group works on various topics in quantum communication and information theory. We study the optimal performance, reliability, and security limits in network communication, and the tradeoff between communication, key, and entanglement resources. Our research avenues include communication with unreliable entanglement assistance, security and covert communication, entanglement in multi-user networks, quantum coordination, environmental effects, and bosonic channels.

Our research group works on various topics in quantum communication and information theory. We study the optimal performance, reliability, and security limits in network communication, and the tradeoff between communication, key, and entanglement resources. Our research avenues include communication with unreliable entanglement assistance.

Sub-title Sub-title Sub-title

  • quantum communication and information
  • quantum coordination, environmental effects
  • tradeoff between communication, key, and entanglement resources
  • various topics in quantum communication

M.Sc. Machine Learning & Data Science Program