About me
My research is driven by the complexities of big data and the growing demand of data interpretation in real world problems. Topics include, but are not limited to:
- Applied Machine Learning in real world problems such as deep learning, multi-task learning, and multi-instance learning for information extraction and event modeling in social science.
- Text Mining and Knowledge Discovery such as discovering interpretable patterns and reciprocity information in heterogeneous media sources and multi-modal data.
- Fairness, Transparency, and Trustworthiness in AI systems and humans' interactions with the systems.
PhD Positions
Admission Requirements
- Please read the graduate admission requirements at Stevens.
- For international students, language test score requirement can be found HERE.
- Additional requirements:
- Resume/CV
- Personal statement
- One or two writing samples (first authored paper preferred)
- Transcripts
Preferred
- Strong programming and math background
- Knowledge of machine learning and text mining
- Enthusiastic and motivated in research
- Professional writing
PostDoctoral Researcher Positions
Requirements
- Candidates should have a Ph.D. in computer science or related fields.
- Strong interests in applied machine learning, natural language processing, text mining, knowledge discovery.
- Proficiency in English reading, writing and communication.
- Outstanding publication records at top-tier conferences/journals in related fields.
Visiting Scholar Positions
Requirements
- Candidates should have a quantitative background in computer science or related fields.
- Strong interests in applied machine learning, natural language processing, text mining, knowledge discovery.
- Proficiency in English reading, writing and communication.
- Publication records at top-tier conferences/journals in related fields.
Master/Undergraduate Researcher Positions
Requirements
- Students at Stevens with independent and secure funding sources.
- Candidates should have a background in computer science or related fields.
- Proficiency in English reading, writing and communication.
- Strong interests and movitation in applied machine learning or related areas.
About Stevens
As a private research university located in Hoboken, New Jersey, Stevens Institute of Technology is a rising star in the New York city area. Both the university as a whole and the CS department are undergoing a significant growing period. The 55-acre campus is on the Hudson River across from midtown Manhattan within a few minutes from NYC via public transportation. Stevens' superb location offers excellent opportunities for collaboration with nearby universities and careers in both industry and academia.
