Assistant Professor at the American University of Beirut
Department of Mechanical Engineering
Artificial Intelligence Hub
Center for Advanced Mathematical Sciences

I'm a computational scientist, interested in discovering the simple rules that animate our complex universe using artificial — and sometimes natural — intelligence. My research is broadly driven by fundamental questions concerning the behavior of complex systems: like granular materials, fluids, brains, and social organisms.

AWARDS
Center for Advanced Mathematical Sciences Fellowship
American University of Beirut - 2022

Henry J. Ramey, Jr. Fellowship Award
Stanford University - 2020

Frank G. Miller Fellowship Award
Stanford University - 2018
TEACHING
Introduction to Machine Learning
American University of Beirut
Fall 2024

Data-driven Methods in Science and Engineering
American University of Beirut
Winter 2022 - Spring 2023
Deep Learning for Fluid Dynamics
University of Washington
Spring 2021

Introduction to Multiphase Flow in Porous Media
American University of Beirut
Summer 2018

Applied Mathematics for Reservoir Engineering
Teaching Assistant at Stanford University
Winter 2017

Introduction to Uncertainty Quantification
Teaching Assistant at UC San Diego
Fall 2017

Introduction to Dynamics
Teaching Assistant at UC San Diego
Winter 2016

Dynamics and Control of Aircraft Vehicles
Teaching Assistant at UC San Diego
Winter 2015

Introduction to Music Technology
Teaching Assistant at UC San Diego
Summer 2015

Aircraft Engineering Design
Teaching Assistant at UC San Diego
Spring 2014
SERVICES

Seminar Organizer: 2020-2023
Data-driven Methods in Science and Engineering, AI Institute

Membership in:
American Physical Society (APS), Society of Industrial and Applied Mathematics (SIAM).

Reviewer at:
Journal of Machine Learning for Modeling and Computing, Journal of Computational Physics, AIP Physics of Fluids, Journal of Fluid Mechanics, Physica D: Nonlinear Phenomena, ComputerMethods in Applied Mechanics and Engineering.

Software ON GItHUb:

deep-delay-autoencoder

Discovers high dimensional models from 1D data using deep delay autoencoders

bucki-data

Machine learning algorithms for discovering dimensionless groups from simulation and experimental data

granular-compaction

Monte Carlo 1D dynamic compaction of a two-phase multiscale granular material

NewsAndTime

Machine learning algorithm for predicting date of publication from content of news article

learning-pdf

Sparse identification of PDF equation and closure models based on Monte Carlo simulations

Socio-hydro-abm

Agent based simulations and control of socio-hydrological models  

Gluvn

Sensor I/O and machine learning for Music glove instrumentMusic

My research interests

Stochastic multiscale modeling and design of complex systems, with particular interest in granular materials, fluid dynamics, multi-agent systems and active matter.

Theoretical foundations and applications of scientific machine learning for discovering physical laws from observation data in complex and cyber-physical systems.

My research interests

Stochastic multiscale modeling and design of complex systems, with particular interest in granular materials, fluid dynamics, multi-agent systems and active matter.

Theoretical foundations and applications of scientific machine learning for discovering physical laws from observation data in complex and cyber-physical systems.

Education

standford university | Palo Alto, Ca
2017 — 2020

Ph.D. in Granular Materials, Advisor: Daniel Tartakovsky
Department of Energy Science and Engineering
Thesis: Stochastic multiscale modeling of complex materials

University of California San Diego | San Diego, CA
2013 — 2016

M.S. in Fluid Mechanics
Department of Mechanical and Aerospace Engineering
Thesis: Discrete-to-continuum modeling with reverse Brownian motion

American University of Beirut | BEIRUT, Lebanon
2009 — 2013

B.Eng. in Mechanical Engineering
Department of Mechanical Engineering

Experience

american university of beirut | BEirut, Lebanon
2024 — Current

Assistant Professor
Department of Mechanical Engineering, Artificial Intelligence Hub

University of Washington | Seattle, WA
2020 — 2023

Postdoctoral Fellow, AI Institute in Dynamic Systems, with S. Brunton & J. N. Kutz
- Data-driven discovery of nonlinear dynamics in complex systems

Los Alamos National Lab | Los Alamos, NM
Summers 2014 & Summer 2016

Earth and Environmental Sciences
- Computational agent based modeling for socio-hydrological simulations

University of California San Diego | San Diego, CA
2015 — 2016

‍Music Technology Lab
- Design, building and machine learning of a glove musical instrument

american university of beirut | BEirut, Lebanon
Summer 2013

Aerosols Research Lab, with Alan L. Shihadeh
- Experimental data collection & analysis of water-pipe hookah toxicity studies

University of California Berkeley | Berkeley, CA
Summer 2012

Swarm Lab
- Finless micro-rocket: Modeling, control, manufacturing of micro-rockets without fins

american university of beirut | BEirut, Lebanon
2011 — 2013

Microflows and Microscale Heat Transfer Lab, with Issam Lakkis
- Modeling and simulation of a lab-on-a-chip microfluidic transistor
- Vortex methods for slip boundary conditions

Speaker

  • SIAM Mathematics of CSE, invited speaker | Amsterdam, NL - 2023
  • University of Brasilia Mechanics Seminar, invited speaker | Virtual, Brasilia, Brazil - 2022
  • Columbia University, LEAP ML Climate Journal Club, invited speaker | Virtual, Manhattan, NY - 2022
  • Applied and Computational Mathematics Seminar, invited speaker | Tulane, LA - 2022
  • AUB mechanical engineering seminar, invited talk | Beirut, Lebanon - 2022
  • CWI Amsterdam seminar, invited speaker | Virtual, Amsterdam, NL - 2022
  • SIAM Mathematics of Data Science, invited speaker |San Diego, CA - 2022
  • MPML University of Lisbon, invited speaker | Lisbon, Portugal - 2022
  • USNC for Ap. and Theoretical Mechanics, invited speaker | Austin, TX - 2022
  • Oak Ridge National Lab workshop on AI for robust engineering | Oak Ridge, TN - 2022
  • University of Southern California, invited speaker | Los Angeles, CA - 2022
  • APS Division of Fluid Dynamics | Phoenix, AZ - 2021
  • SIAM Annual Meeting | Virtual - 2021
  • Carnegie Mellon University, invited Speaker Scientific Machine Learning | Virtual - 2021
  • SIAM Computational Science and Engineering Conference | Virtual - 2021
  • SIAM Computational Science and Engineering Conference | Spokane, WA - 2019
  • Multiscale Modeling Workshop AFOSR | Eglin, FL - 2018
  • Air Force Research Lab Annual Review | Washington D.C. - 2016
  • SIAM Geosciences Conference | Stanford, CA - 2014