Dr. Michael Mann

Sciences For High-Tech
מדעים להיי-טק עמית הוראה

Dr. Michael Mann ד"ר מיכאל מן

Dr. Michael Mann is one of the leading experts in Israel for mathematical optimization of AI

He is a lecturer in the Faculty of Engineering at Tel Aviv University and a senior faculty member lecturer at Afeka in the Department of Software Engineering and Computer Science (equivalent to Associate Professor in the US). He serves as head of the research association of the School of Software Engineering

At the same time, in the high-tech industry he serves as chief scientist and vicepresident for research & development at the international fintech company RGM Global Ventures which operating in Belgium, Germany, Israel and USA

Research Area

 

Mathematical optimization for AI

 

Optimization algorithms for machine learning

 

Convex optimization for machine learning

 

Mathematical modeling for social network analysis

 

 

Mathematical Sociology - Computational social network analysis

 

Network science

 

Agent-based modeling of social networks

 

Diffusion of information and behavior in social networks

 

Social network dynamics

 

 

Mathematical Political ScienceVoting theory and mathematical modeling of voting and political science

 

Computational social choice Mathematical models of voting behavior

 

Ranking methods and aggregation of preferences

 

Condorcet Jury Theorem

 

Voting power and apportionment

 

Collective decision-making

 

Political game theory

 

 

Mathematical Sociology - Sociometric Indices

Use of mathematical tools and models for sociological measures

 

Computational social science

 

Social network measurement

 

Social network analysis algorithms

 

Quantitative methods in sociology

  •  

 

Additional Research Areas

 

Algorithms for centrality in a adjacency matrix

 

Optimization methods in network analysis and correlations to financial indices by network analysis tools

 

Probabilistic methods in anormative combinatorics

 

Tel Aviv University makes every effort to respect copyright. If you own copyright to the content contained
here and / or the use of such content is in your opinion infringing, Contact us as soon as possible >>