Activities

A list of conferences, workshops, schools, competitions, etc. that I have attended.

2023

Give an invited talk (title: Knowledge-augmented Graph Machine Learning for Drug Discovery) at SP2 Workshop, University of Luxembourg.
Reviewer of Artificial Intelligence journal.
PC member of AICONF-23.
One lecture-style tutorial “Knowledge-augmented Graph Machine Learning for Drug Discovery: from Precision to Interpretability” accepted by KDD-23.
Give an invited talk (title: Knowledge-augmented Graph Machine Learning for Drug Discovery) at Department of Computer Science, Aalborg University.
PC member of ECML/PKDD-23.
Reviewer of TKDD journal.
PC member of SocialNLP workshop @TheWeb-23(WWW-23) conference.

2022

Started working as a Postdoc at Aarhus University in May 2022.
Successfully defended my PhD thesis on April 4th, 2022. Thesis title: Leveraging Graph Machine Learning for Social Network Analysis.
PC member of SocialNLP workshop @TheWeb-22(WWW-22) conference.

2021

Work as Teaching Assistant of course Distributed Systems, 1st semester of 2021-2022.
Reviewer of Elsevier-Neurocomputing.
Attend the LOGML Summer School, 12th-16th July 2021, Online.
Reviewer of KDD-21 conference.
PC member of SocialNLP workshop @TheWeb-21(WWW-21) conference.

2020

Attend the SanDAL Winter School and gave an oral presentation, 7th-11th December 2020, Online.
Reviewer of TheWeb-21(WWW-21) conference.
Work as Teaching Assistant of course Distributed Systems, 1st semester of 2020-2021.
PC member of SocInfo-20 conference.
PC member of ECML-PKDD-20 conference.

2019

Attend the ACM-IMC Conference, 21st-23th October 2019, Amsterdam, Netherlands.
Work as Teaching Assistant of course Distributed Systems, 1st semester of 2019-2020.
Attend the ACM-IMC Shadow PC meeting, 29th July 2019, Queen Mary University of London, UK.
Organize as a local organizer and attend the UniGR Summer School on Verification Technology, Systems and Applications (VTSA 2019), 1st-5th July, University of Luxembourg, Belval, Luxembourg.
Attend the DigiCosme Spring School on Formal Methods and Machine Learning (ForMal), 4th-7th June 2019, ENS Paris-Saclay, Cachan, France.

2018

Work as Teaching Assistant of course Introduction to IT Security, 1st semester of 2018-2019.

Kaggle-Home Credit Default Risk, 12/7198 teams, Gold Medal.
Kaggle-Avito Demand Prediction Challenge, 11/1872 teams, Gold Medal.
Kaggle-TalkingData AdTracking Fraud Detection Challenge, 50/3961 teams, Silver Medal.
Kaggle-Toxic Comment Classification Challenge, 237/4551 teams, Bronze Medal.

2017

Work as Data Scientist at AT INTERNET