Yasaman Asgari


 Ph.D. student@UZH, Zurich, Switzerland

Hi! I’m Yasaman (Yas)  Asgari! A P.h.D student at the University of Zurich (UZH), Zurich, Switzerland.  I am interested in the theoretical and applied aspects of complex networks. 

My research interests are around temporal networks and include dynamic community detection, computational social science, and modeling.


For a full CV, please refer to it here! (Last update April 2024)


Education


Research experience

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)


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)



Teaching experience

Fall 2023 Complex networks and applications

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

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

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:



Softwares: