معرفی
Souvick Ghosh is a Tenure-Track Assistant Professor at the School of Information, San Jose State University. His research focuses on conversational search systems, human-computer interaction, and information retrieval, integrating machine learning and natural language processing to enhance interactive information-seeking environments.
- Ph.D.: Communication, Information, and Media Studies, Rutgers University (2020)
- M.S.: Computer Science and Engineering, Jadavpur University (2016)
- B.S.: Computer Science and Engineering, Jadavpur University (2011)
His research interests include conversational search systems, database and retrieval systems, human information behavior, human-computer interaction, information retrieval theory and practice, information systems and technologies, information visualization, and research methods. He applies machine learning, natural language processing, and deep neural networks to develop intelligent functionalities in voice-based and interactive environments.
His recent publications span topics such as conversational agents, question quality in social Q&A, citation sentiment, and learning-oriented search. These works appear in top venues like HICSS, ASIS&T, SIGIR, and CHIIR, reflecting a consistent focus on improving user-system dialogues, modeling search behavior, and designing human-centered conversational systems.
- Outstanding Graduating Student Award, Rutgers University (2020)
Ghosh has taught graduate and undergraduate courses in data science, programming, and information technology at both SJSU and Rutgers. He leads the ICANN Lab, where he mentors students and conducts ongoing research in conversational AI and information systems. His work emphasizes technology for social good, with applications in education, accessibility, and equitable information access.
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