Souvick Ghosh

Tenure-Track Assistant Professor, School of Information, San Jose State University.
Recipient of Outstanding Graduating Student Award (Information Science) 2020, School of Communication and Information, Rutgers University.

My research interests are Conversational Retrieval Systems, Interactive Information Retrieval (IIR), and Human-Computer Interaction (HCI). I consider myself to be a mixed-methods researcher and specialize in applications of Deep Learning and Natural Language Processing (NLP) techniques to solve problems in Information Retrieval (IR). I extensively use Experimental Design (both qualitative and quantitative) to assess Human Information
Behavior and preferences while searching online. My dissertation work focuses on the intelligent functionalities expected of voice-based personal assistants.

• Identifying Citation Sentiment and its Influence while Indexing Scientific Papers. In Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS 2020).

• Exploring the Ideal Depth of Neural Network when Predicting Question deletion on Community Question Answering. In the Forum for Information Retrieval Evaluation (FIRE 2019).

• Session-based Search Behavior in Naturalistic Settings for Learning-related Tasks (CIKM 2019)

• Informing the Design of Conversational IR Systems: Framework and Result Presentation (Published: SIGIR 2019)

• Exploring Result Presentation in Conversational IR Using a Wizard-of-Oz Study (Published: ECIR 2019)

• Investigating Result Presentation in Conversational IR (Published: CHIIR 2019)

• Towards Automatic Fake News Classification (Published: HICSS 2019)

• Searching as Learning: Exploring Search Behavior and Learning Outcomes in Learning-related Tasks. (Published: CHIIR 2018)

• Exploring Online and Offline Search Behavior Based on the Varying Task Complexity. (Published: CHIIR 2018)

• Beyond Bloom’s Taxonomy: Integrating “Searching as Learning” Perspectives with Learning Sciences Research (Panel paper: ASIS&T 2018)

• Toward Multimodal Cyberbullying. (Published: CHI 2017)

• Information seeking in learning‐oriented search (Published: ASIS&T 2017)

• Complexity Metric for Code-Mixed Social Media Text (Published: CICLing 2017)

• Sentiment Identification in Code-Mixed Social Media Text (Published: CICLing 2017)

• Part-of-speech Tagging of Code-Mixed Social Media Text. (Published: EMNLP 2016)

• Determining sentiment in citation text and analyzing its impact on the proposed ranking index. (Published: CICLing 2016)

• Feature based approach to named entity recognition and linking for tweets. (Published: Microposts 2016, WWW 2016)

• Authorship Verification-An Approach based on Random Forest. (Notebook published in CLEF 2015)

• Labeling of Query Words using Conditional Random Field (Published: Forum for Information Retrieval Evaluation 2015)

• Language Identification and generation of code-mixing index for transliterated social media corpus. (master’s thesis)

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Please follow the following link for my scholar page: https://scholar.google.com/citations?user=csWO-d0AAAAJ&hl=en

• May 2020: Outstanding Graduating Student (Information Science) Award, School of Communication and Information, Rutgers University

• January 2020: SC&I Dissertation Grant

• November 2019: LIS Dissertation Support Grant Award by LIS Research Development Committee

• November 2019: SC&I November 2019 PhD Travel Awards to attend HICSS 2020, Hawaii, US

• November 2019: SC&I November 2019 PhD Travel Awards to attend FIRE 2019, Kolkata, India

• November 2019: SC&I November 2019 PhD Travel Awards to attend CIKM 2019, Beijing, China

• June 2019: Received SC&I Travel Awards (Merit) to attend SIGIR 2019, Paris, France

• June 2019: Received SC&I Travel Awards to attend SIGIR 2019, Paris, France

• May 2019: Received SIGIR Travel Grant to attend SIGIR 2019, Paris, France

• April 2019: Received SC&I Summer Methods Workshop Funding to attend Data Science Salon, Miami, US

• March 2019: Received SC&I Travel Awards (Merit) to attend CHIIR 2019, Glasgow, UK

• March 2019: Received SC&I Travel Awards to attend CHIIR 2019, Glasgow, UK

• March 2019: Received SC&I Travel Awards to attend ECIR 2019, Cologne, Germany

• January 2019: Received ECIR Student Grant to attend ECIR 2019, Cologne, Germany

• December 2018: Received SIGIR Travel Grant to attend CHIIR 2019, Glasgow, UK

• November 2018: SC&I Fall 2018 Travel Awards to attend HICSS 2019, Hawaii, US

• November 2018: SC&I Fall 2018 Travel Awards (Merit) to attend HICSS 2019, Hawaii, US

• November 2018: SC&I Fall 2018 Travel Awards to attend ASIS&T 2018, Vancouver, Canada

• November 2018: SC&I Fall 2018 Travel Awards to attend SIGIR 2018, Ann Arbor, US

• March 2018: SC&I Travel Awards to attend HCI International 2018, Las Vegas, US

• March 2018: SC&I Travel Awards to attend CHIIR 2018, New Brunswick, US

• October 2017: SC&I Travel Award for presenting paper at ASIS&T 2017, Washington DC, US

• October 2017: Received DAAD Fellowship for summer school in IR.

• July 2015: Received DAAD Fellowship to attend ASIRF 2015, Katlenburg, Germany

• Deep Learning: 

  • Keras, Tensorflow (Proficient).

• High Level Languages: 

  • C, Java, C#, C++, Python (Proficient)

  • MATLAB, Ruby, Hadoop, Spark (Familiar).

• Experimental Design

• Query Languages: 

  • SQL, PL/SQL, ACL

• Agile Methodology