Yasaman Asgari

Education

• Sep 2023-Present. Ph.D. in Data Science at the University of Zurich, Zurich, Switzerland.
  Excellence Minor: Digital Society initiatives
  Supervisor: Alexandre Bovet

• 2022-2023. M.Sc. in Computer science at Ecole Normale Superieur, Lyon, France.
  Excellence Minor: Complex systems
  Thesis Title:  Defining an evaluation setting for community detection in dynamic graphs
  Supervisor: Pierre Borgnat, Remy Cazabet 

• 2018-2022. B.SC in Computer Science at the Sharif University of Technology, Tehran, Iran.

Research experience

• Dynamic community detection in temporal networks (Feb-July 2023): Master thesis project
  Affiliation: IXXI lab at Ecole Normale Superieure de Lyon, Liris lab at Universite de Lyon 1.
  Project:  Defining an evaluation setting for community detection in dynamic graphs

Supervisors: Pierre Borgnat ,Remy Cazabet 

Article1 : Mosaic benchmark networks: Modular link streams for testing dynamic community detection algorithms

Presented in:   Data + NetSci workshop(Switzerland chapter), CNA2023

Paper: Paper got accepted to CNA2023, Menton, France

Python Library: Mosaic-Benchmark 

Article 2: Longitudinal Modularity: a Modularity for Link Streams
Team: Victor Brabant, Pierre Borgnat, Angela Bonifati,  Rémy Cazabet
Presented in: Netsci2024 (Poster)

• Science of science (Aug 2022-Now):

Project: Global Disparities in research contributing to SDGs: attention, funding, and Leadership

Team: Hongyu Zhou, Özgür Kadir Özer, Juven Nino Villacastin, Mimi Byun, Mary Ellen Sloane, Rezvaneh Rezapour

Presented in: ICSSI 2023(Talk)

Project: Did the Arab Spring Affect Research Power Dynamics?

Team: Hongyu Zhou, Özgür Kadir Özer, Juven Nino Villacastin, Mimi Byun, Mary Ellen Sloane, Rezvaneh Rezapour and Alexandre Bovet

Presented in: Netsci-X 2024(Talk), CCS2024 (Talk)

• Temporal networks (Feb-Aug2022):
  Project:   The impact of infrastructural change on social connectivity
  Team:  Jacques Bara, Paul Bouman, Eszter Bokanyi, Giulio Burgio, Franziska Franeck, Matteo Mazzamurro and Liubov Tupikina
  Presented in: CCS2022 (Poster), IC2S2-2022(Poster)

• Computational social science (April-Oct 2021): Bachelor's internship
  Project: Dynamic communities and engagement in public debate about COVID-19 on the German Twittersphere
  Team: Armin Pournaki, Eckehard Olbrich and Felix Gaisbauer
  Presented in: CCS2021(Talk)

• Agent-Based Modeling(Feb-May 2021): SAMSI Program at Duke University
  Project:   Applications of Agent-based models using statistical approaches
  Team:  David Banks, Chris Krapu, Graden Froese, Greta Monacelli, Fanqi Zeng, Victoria Money, Bruce Rogers, Keru Wu

Teaching experience

• Teaching assistant: (Sep 2023- now) University of Zurich
  Courses:

Fall 2023 Complex networks and applications

Winter/Spring 2024 Introduction to Statistics (link to files)

• Programming Private tutor:  Sep 2020- Sep 2023 

Classes: Machine learning, Computer vision, Deep learning, Basic and advanced programming in      Python,Algorithms, Data structure
      Contribution: >700 hours for 47 students from ages 7 to 58

• Teaching assistant: (Jan 2020- Jul 2022) Sharif University of Technology
  Courses:

Fall 2021 Statistics and Applications, Dr. Alireza Bahrain

Fall 2021 Computer Systems Principles, Dr. Laleh Arshadi

Winter 2021 Computer Networking, Dr. Laleh Arshadi

Winter 2021 Modeling of Spreading Phenomena, Dr. Fakhteh Ghanbarnejad

Fall 2020 Computer Systems Principles, Dr. Laleh Arshadi

Winter 2020 Advanced Programming, Dr. Hossein Boomeri, and Dr. Saman Ostovari

Media Coverage

June 2021 ”Rumor Detection and Prevention” project for Neglected Tropical Diseases - Hackathon is covered

by the National Public Radio located in Washington, DC.

Methods: Sentimental analysis, Network analysis, Mathematical modeling, Board game design

Goal: Identification of rumor regions, Finding influential individuals within the communities
Team : Sina Sajjadi, Saeed Hedayatian, Alireza Hashemi.

Articles

More details here:

• • My profile in Google Scholar

Softwares:

• • Mosaic Benchmark: a Python package to generate modular link streams