"AI and machine learning can significantly enhance the user experience within social
networks.
Given our daily reliance on various social platforms, user-generated posts, comments, and
reactions
serve as valuable resources for research purposes. Investigating social networks can lead to
innovative
insights into user data security and privacy, ultimately delivering novel user
experiences."
Ismail Hossain
Ph.D Student
Researcher Assistant, Security and Privacy Enhanced Machine Learning (SUPREME) Lab
ihossain@miners.utep.edu
Curriculum Vitae
Researcher Assistant, Security and Privacy Enhanced Machine Learning (SUPREME) Lab
ihossain@miners.utep.edu
Curriculum Vitae
Witty Quote
“By far, the greatest danger of Artificial Intelligence is that people conclude too early that they understand it." – Eliezer Yudkowsky
Publications at a glance
| # | Paper Title | Link | Publisher |
|---|
Research Domain Interests
-
Social Networks
-
Health Care
"AI has the ability to analyze big data sets – pulling together patient insights and leading to predictive analysis. Quickly obtaining patient insights helps the healthcare ecosystem discover key areas of patient care that require improvement. Wearable healthcare technology also uses AI to better serve patients." -
Security Enhancements
"AI uses machine learning and deep learning to recognize patterns on the network and cluster them, it will then detect deviations or security incidents from the norm before responding to them. These patterns can help to improve security in the future. Similar potential threats can be detected and blocked early enough."
UPDATES
Started PhD in University of Texas at El Paso
My Professor joined the CS Faculty at UTEP along with his PhD students.
SUPREME LAB
UTEP
ICWSM'24 Student Travel Award
I have received $1300, ICWSM Student Travel Award.
ICWSM
Conference
ASONAM 2024
Six of our papers got accepted in Spring ASONAM 2024, one of the top-tier conferences in social network analysis.
Accepted
Springer
COMPSAC 2024
Four of our papers got accepted in IEEE COMPSAC 2024, one of the top-tier conferences in social network analysis.
Accepted
IEEE
ICWSM'24 AAAI
June 3-6, 2024THE 18TH INTERNATIONAL AAAI CONFERENCE ON WEB AND SOCIAL MEDIA
Buffalo, New York, USA.
Conference
ICWSM
AAAI
CyberForce 2023
Oct 16-Nov 03, 2023DOE CyberForce Competition® 2023
St. Charles, Illinois, USA.
Competition
ACM/IEEE ASONAM 2023
Three of our papers got accepted in ACM/IEEE ASONAM 2023, one of the top-tier conferences in social network analysis.
Published
IEEE
ACM
Data-driven approaches to Medical Imaging
Seven of our book chapters got published in the book "Data-driven approaches to Medical Imaging" by Springer.
Published
Springer
Expert Opinion on Cybersecurity and Ransomware
Our Professor Dr. Sajedul Talukder was contacted by KMOV (Channel 4), a prominent television station in St. Louis, Missouri, affiliated with CBS and MyNetworkTV to provide expert opinion on cybersecurity and ransomware.
St. Louis, Missouri, USA.
TV Interview
ANS Transactions
Two papers published in ANS Transactions in ANS Winter Conference and Expo 2023.
Published
IEEE ICAIC 2023
Two papers published in IEEE International Conference on AI in Cybersecurity (ICAIC 2023).
Published
IEEE
Blockchain and Smart-Contract Technologies
Two book chapters published in the book "Blockchain and Smart-Contract Technologies for Innovative Applications" by Springer.
Published
Springer
CyberForce 2022
Oct 20-Nov 07, 2022DOE CyberForce Competition® 2022
Virtual
Competition
Rank: 16th