Asadi, Mahsa
Ph.D. Candidate, Computer Science
Big Data Analytics Laboratory
About Me
I am currently a Ph.D. Candidate in Computer Science at the New Jersey Institute of Technology. I am working under supervision of Prof. Senjuti Basu Roy. My main research focuses are on data mining, recommendation, and big data analytics with an emphasis on diversity and fairness computation in rank-based algorithms and query processing for recommender systems. I received my B.S. degree in Computer Software engineering, from Iran University of Science and Technology (IUST) Tehran, Iran and M.S. degree in Computer Software engineering from Isfahan University of Technology (IUT), Isfahan, Iran, in 2015 and 2018, respectively.
Teaching Assistant
CS 301: Introduction to Data Science | Spring 2020
CS 113: Java Lab | Fall 2019
CS 103: Python Lab | Fall 2019
CS 630: Operating System Design | Summer 2019
CS 332: Princliples of Operating Systems | Fall 2018 , Spring 2019
Research Interests
- Data Management and exploration
- Data Mining
- Big Data Analytics
- Recommender Systems
Publications
- M. Asadi, N. Ghadiri and M. A. Nikbakht, "A Scalable Method for One-Mode Projection of Bipartite Networks Based on Hadoop Platform," 8th International Conference on Computer and Knowledge Engineering (ICCKE), Mashhad, 2018, pp. 237-242.
- E. Farhangi, N. Ghadiri, M. Asadi, M. A. Nikbakht and S. Pitre, "Fast and scalable protein motif sequence clustering based on Hadoop framework," 3th International Conference on Web Research (ICWR), Tehran, 2017, pp. 24-31.