DR. YANIV ALTSHULER

Researcher at the MIT Media Lab

Overview

I am a researcher at the MIT Media Lab and an MIT Connection Science ‎Fellow.‎

I hold a Ph.D. in Computer Science (where I focused on the theory of decentralized AI). During my post-doctoral researcher at MIT with Professor Alex "Sandy" Pentland I took part in the development of the exciting new field of Social Physics .‎

My career has been dedicated to the research and development of Artificial Intelligence. My approach is centered on rigorous theoretical analysis of decentralized and scalable AI methods, aimed at discovering new insights and opportunities for improving AI systems and their applications. I am committed to advancing the field of AI by creating systems that are ethical, robust, and accessible to all.

I have publishing three books on the theory and applications of Artificial Intelligence as well as over 70 scientific papers and 17 patents.

During 2022 I founded Metha.ai, a company that helps dairy and cattle farmers produce high-‎quality food in more efficient and sustainable ways. The company uses Artificial Intelligence to ‎improve cows' digestion, preventing them from burping too much.‎

Professional Teaching Experience

As a lecturer, I have taught courses in Introduction to Artificial Intelligence, Robotics, Computability Theory, Digital Systems Design, ‎Algorithms in Graph Theory, and Data Structures. Additionally, I have supervised dozens of student graduation projects in the fields of Artificial Intelligence, Image Processing, ‎Intelligent Systems and Machine Learning.‎ ‎

Research Statement

In my research, I aim to develop innovative Artificial Intelligence solutions that drive breakthroughs in diverse fields, including finance, national security, transportation, and biology. My approach centers on a rigorous theoretical analysis of decentralized and scalable AI methods, with the goal of uncovering new insights and opportunities for improving AI systems and their usage. Through my work, I hope to contribute to the ongoing advancement of the field and to create AI systems that are not only powerful, but also ethical, robust, and accessible to all.

DR. YANIV ALTSHULER
  

77 Massachusetts Avenue Cambridge, MA 02139-4307, USA

My Books

Swarms and Network Intelligence in Search

This book offers a comprehensive analysis of the theory and tools needed for the development...

New Solutions for Cybersecurity

Edited by Howard Shrobe, David L. Shrier and Alex Pentland

Security and Privacy in Social Networks

Security and Privacy in Social Networks brings to the forefront innovative approaches for analyzing and...

Published Journal Papers

  • Patterns of User Behavior and Token Adoption on ERC20
    Alfredo J. Morales, Shahar Somin, Yaniv Altshuler, Alex Sandy Pentland, SN Computer Science, 2023
  • Recent Developments in the Theory and Applicability of Swarm Search
    Y. Altshuler, Entropy, 2023
  • Remaining Popular: Power-law Regularities in Network Dynamics
    S. Somin, Y. Altshuler, A. Pentland, E. Shmueli, EPJ Data Science, 2022
  • Beyond Preferential Attachment: Falling of Stars and Survival of Superstars
    S. Somin, Y. Altshuler, A. Pentland, E. Shmueli, Royal Society Open Science, 2022
  • DNN Intellectual Property Extraction Using Composite Data
    I. Mosafi, E. David, Y. Altshuler, N. Netanyahu, Entropy, 2022
  • Network Dynamics of a Financial Ecosystem
    S. Somin, Y. Altshuler, G. Gordon, A. Pentland, E. Shmueli, Scientific Reports (Nature), 2020
  • Modeling and Prediction of Ride Sharing Utilization Dynamics
    T. Altshuler, Y. Altshuler, R. Katoshevski, Y. Shiftan, Journal of Advanced Transportation, 2019
  • Campaign Optimization through Behavioral Modeling and Mobile Network Analysis
    Y. Altshuler, E. Shmueli, G. Zyskind, O. Lederman, N. Oliver, A. Pentland, IEEE Trans. Computational Social Systems, 2014
  • Prospect Theory for Online Financial Trading
    YY Liu, JC Nacher, T Ochiai, M Martino and Y Altshuler, PLOS ONE, 2014
  • The Social Amplifier – Reaction of Human Communities to Emergencies
    Y. Altshuler, M. Fire, E. Shmueli, Y. Elovici, A. Bruckstein, A. Pentland and D. Lazer, Journal of Statistical Physics, 2013
  • Augmented Betweenness Centrality for Environmentally-Aware Traffic Monitoring in Transportation Networks
    R. Puzis, Y. Altshuler, Y. Elovici, S. Bekhor, Y. Shiftan and A. Pentland, Journal of Intelligent Transportation Systems, 2013

Book Chapters

  • Network Dynamics of a Tokenized Financial Ecosystem
    S. Somin, G. Gordon, A. Pentland, E. Shmueli, Y. Altshuler, Building the New Economy (MIT Press), 2020
  • Social Physics and Cybercrime
    Y. Altshuler and A. Pentland, Solution for Cybersecurity (MIT Press), 2018
  • Campaign Optimization through Mobility Network Analysis
    Y. Altshuler, E. Shmueli, G. Zyskind, O. Lederman, N. Oliver and A. Pentland, Geo-Intelligence and Visualization through Big Data Trends, Advances in Geospatial Technologies (AGT) Book Series, 2015
  • On the Rationality and Optimality of Transportation Networks Defense— a Network Centrality Approach
    Y. Altshuler, R. Puzis, Y. Elovici, S. Bekhor and A. Pentland, Securing Transportation Systems, Protecting Critical Infrastructures Series, Willey, 2014

Refereed Conference Papers

  • Node Ranking Dynamics: Non Preferential Patterns
    S. Somin, Y. Altshuler, A. Pentland and E. Shmueli, IC2S2, 2023
  • Non Preferential Node Ranking Dynamics
    S. Somin, Y. Altshuler, A. Pentland and E. Shmueli, NetSci, 2023
  • Non-Monotonic Dynamics in Node Ranking
    S. Somin, Y. Altshuler, A. Pentland, and E. Shmueli, Complex Networks, 2022
  • Non Preferential Patterns in Node Ranking Dynamics
    S. Somin, Y. Altshuler, A. Pentland and E. Shmueli, NetSci, 2022
  • Ethereum Blockchain: A Network Perspective
    S. Somin, Y. Altshuler, G. Gordon, A. Pentland and E. Shmueli, NetSci, 2020
  • ERC20 Transactions over Ethereum Blockchain: Network Analysis and Predictions
    S. Somin, G. Gordon, A. Pentland, E. Shmueli and Y. Altshuler, International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction (SBP), 2020
  • COVID-19 Outbreak Week-by-Week Prediction
    Y. Altshuler and A. Pentland, NetSci, 2020
  • Detecting Bot Activity in the Ethereum Blockchain Network
    M. Zwang, S. Somin, A. Pentland and Y. Altshuler, NetSci, 2019
  • Network Dynamics of a Financial Ecosystem
    S. Somin, Y. Altshuler, G. Gordon, E. Shmueli, and A. Pentland, NetSci, 2019
  • Network Analysis of ERC20 Tokens Trading on Ethereum Blockchain
    S. Somin, G. Gordon, and Y. Altshuler, International Conference on Complex Systems 2018
  • Using Social Physics to Predict Consumer Behavior
    Y. Altshuler and A. Boehme, NetSci, 2017
  • Social Behavior Bias and Knowledge Management Optimization
    Y. Altshuler, A. Pentland and G. Gordon, SBP 2015
  • Ride Sharing: A Network Perspective
    E. Shmueli, I. Mazeh, L. Radaelli, A, Pentland and Y. Altshuler, SBP 2015
  • Network Tuning
    Y. Altshuler and A. Pentland, NetSci, 2015
  • From Individual Knowledge Management to Social Information Flow
    Y. Altshuler, A. Pentland and G. Gordon, NetSci, 2015
  • Ride Sharing: A Network Perspective
    E. Shmueli, I. Mazeh, A. Pentland, T. Altshuler and Y. Altshuler, NetSci, 2015
  • Mobile Phones for On-Demand Public Transportation
    T. Altshuler, Y. Shiftan, R. Katoshevski, N. Oliver, A. Pentland and Y. Altshuler, NetSci, 2014
  • A Generative Model for Evolving Scale-Free Networks
    E. Shmueli, Y. Altshuler and A. Pentland, NetSci, 2014
  • Wisdom of the Network
    E. Shmueli, D. Margolin, Y. Altshuler, A. Pentland and D. Lazer, NetSci, 2014
  • Temporal Dynamics of Scale-Free Networks
    E. Shmueli, Y. Altshuler and A. Pentland, SBP 2014

Refereed Workshop Papers

  • Temporal Dynamics in Networks: Second Order Power-Law Phenomena
    S. Somin, A. Pentland, S. Shmueli and Y. Altshuler, Conference on Digital Experimentation (CODE), 2020
  • Dynamic Equilibrations of ERC20
    S. Somin, G. Gordon, A. Pentland and Y. Altshuler, Conference on Digital Experimentation (CODE), 2018
  • Anomalies in the Ethereum Blockchain Network
    M. Zwang, S. Somin, A. Pentland and Y. Altshuler, Conference on Digital Experimentation (CODE), 2018
  • From Individual Knowledge Management to Social Information Flow
    Yaniv Altshuler, Alex Pentland and Goren Gordon, ICCSS, 2015
  • The Network Dimension of Ride Sharing
    Tal Altshuler, Yoram Shiftan, Rachel Katoshevski, Nuria Oliver, Alex Pentland, Erez Shmueli, Yaniv Altshuler, ICCSS, 2015
  • Campaign Optimization through Mobility Network Analysis
    Y. Altshuler, E. Shmueli, G. Zyskind, O. Lederman, N. Oliver, A. Pentland, NetMob, 2015
  • Dynamics of Scale-Free Networks
    E. Shmueli, Y. Altshuler and A. Pentland, Workshop on Information in Networks (WIN), 2013
  • Accurate Decision Making in Social Networks
    Y. Altshuler and A. Pentland, NetSci, 2013
  • Temporal Percolation in Scale-Free Networks
    E. Shmueli, Y. Altshuler and A. Pentland, NetSci, 2013
  • The Social Amplifier – Reaction of Human Communities to Emergencies
    Y. Altshuler, M. Fire, E. Shmueli, Y. Elovici, A. Bruckstein, A. Pentland and D. Lazer, NetMob, 2013
  • Trends Prediction in Social Networks Using Influence Diffusion Models
    Y. Altshuler, W. Pan and A. Pentland, Interdisciplinary Workshop on Decisions in Networks (WIDS), 2012
  • Incremental Learning with Accuracy Prediction of Social and Individual Properties from Mobile-Phone Data
    Y. Altshuler, N. Aharony, M. Fire, Y. Elovici and A. Pentland, WS3P, IEEE Social Computing, 2012`
  • Information Flow in Networks : Trendsetters, Bellwethers and Shepherd Dogs
    Y. Altshuler, N. Aharony, Y. Elovici, A. Pentland and M. Cebrian, Workshop on Information in Networks (WIN), 2011
  • Stealing Reality: When Criminals Become Data Scientists
    Y. Altshuler and A. Pentland, Workshop on Information in Networks (WIN), 2011
  • Augmented Betweenness Centrality for Mobility Prediction in Transportation Networks
    Y. Altshuler, R. Puzis, Y. Elovici, S. Bekhor and A. Pentland, Finding Patterns of Human Behaviors in Network and Mobility Data (NEMO), 2011
  • Stealing Reality
    Y. Altshuler, N. Aharony, M. Cebrian, Y. Elovici, A. Pentland, Workshop on Information in Networks (WIN), 2010
  • Efficient Collaborative Application Monitoring Scheme for Mobile Networks
    Y. Altshuler, S. Dolev, Y. Elovici and N. Aharony, Analysis of Mobile Phone Networks, NetMob (in NetSci), 2010
  • TTLed Random Walks for Collaborative Monitoring
    Y. Altshuler, S. Dolev, Y. Elovici and N. Aharony, NetSciCom (in IEEE INFOCOM), 2010
  • To Add With Caution - Decreasing a Swarm Robotics' Efficiency by Imprudently Enhancing the Robots' Capabilities
    Y. Altshuler, I. Wagner, and A. Bruckstein, ICINCO (MARS Workshop), 2007
  • Ant - Swarm Robotics for a Dynamic Cleaning Problem
    Y. Altshuler, I. Wagner, V. Yanovski and A. Bruckstein, ROBOMAT, 2007
  • Shape Factor's Effect on a Dynamic Cleaners Swarm
    Y. Altshuler, I. Wagner and A. Bruckstein, ICINCO (MARS Workshop), 2006
  • On Swarm Optimality in Dynamic and Symmetric Environments
    Y. Altshuler, I. Wagner and A. Bruckstein, ICINCO (MARS Workshop), 2005
  • The Cooperative Hunters - Efficient Cooperative Search for Smart Targets Using UAV Swarms
    Y. Altshuler, I. Wagner, V. Yanovski and A. Bruckstein, ICINCO (MARS Workshop), 2005