PUBLICATIONS
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Identifying Citation Sentiment and its Influence while Indexing Scientific Papers. In Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS 2020).
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Exploring the Ideal Depth of Neural Network when Predicting Question deletion on Community Question Answering. In the Forum for Information Retrieval Evaluation (FIRE 2019).
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Session-based Search Behavior in Naturalistic Settings for Learning-related Tasks (CIKM 2019)
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Informing the Design of Conversational IR Systems: Framework and Result Presentation (Published: SIGIR 2019)
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Exploring Result Presentation in Conversational IR Using a Wizard-of-Oz Study (Published: ECIR 2019)
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Investigating Result Presentation in Conversational IR (Published: CHIIR 2019)
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Towards Automatic Fake News Classification (Published: HICSS 2019)
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Searching as Learning: Exploring Search Behavior and Learning Outcomes in Learning-related Tasks. (Published: CHIIR 2018)
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Exploring Online and Offline Search Behavior Based on the Varying Task Complexity. (Published: CHIIR 2018)
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Beyond Bloom’s Taxonomy: Integrating “Searching as Learning” Perspectives with Learning Sciences Research (Panel paper: ASIS&T 2018)
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Toward Multimodal Cyberbullying. (Published: CHI 2017)
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Information seeking in learning‐oriented search (Published: ASIS&T 2017)
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Complexity Metric for Code-Mixed Social Media Text (Published: CICLing 2017)
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Sentiment Identification in Code-Mixed Social Media Text (Published: CICLing 2017)
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Part-of-speech Tagging of Code-Mixed Social Media Text. (Published: EMNLP 2016)
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Determining sentiment in citation text and analyzing its impact on the proposed ranking index. (Published: CICLing 2016)
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Feature based approach to named entity recognition and linking for tweets. (Published: Microposts 2016, WWW 2016)
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Authorship Verification-An Approach based on Random Forest. (Notebook published in CLEF 2015)
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Labeling of Query Words using Conditional Random Field (Published: Forum for Information Retrieval Evaluation 2015)
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Language Identification and generation of code-mixing index for transliterated social media corpus. (master’s thesis)
Please follow the following link for my scholar page: https://scholar.google.com/citations?user=csWO-d0AAAAJ&hl=en
SCHOLARSHIPS & AWARDS
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May 2020: Outstanding Graduating Student (Information Science) Award, School of Communication and Information, Rutgers University
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January 2020: SC&I Dissertation Grant
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November 2019: LIS Dissertation Support Grant Award by LIS Research Development Committee
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November 2019: SC&I November 2019 PhD Travel Awards to attend HICSS 2020, Hawaii, US
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November 2019: SC&I November 2019 PhD Travel Awards to attend FIRE 2019, Kolkata, India
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November 2019: SC&I November 2019 PhD Travel Awards to attend CIKM 2019, Beijing, China
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June 2019: Received SC&I Travel Awards (Merit) to attend SIGIR 2019, Paris, France
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June 2019: Received SC&I Travel Awards to attend SIGIR 2019, Paris, France
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May 2019: Received SIGIR Travel Grant to attend SIGIR 2019, Paris, France
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April 2019: Received SC&I Summer Methods Workshop Funding to attend Data Science Salon, Miami, US
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March 2019: Received SC&I Travel Awards (Merit) to attend CHIIR 2019, Glasgow, UK
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March 2019: Received SC&I Travel Awards to attend CHIIR 2019, Glasgow, UK
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March 2019: Received SC&I Travel Awards to attend ECIR 2019, Cologne, Germany
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January 2019: Received ECIR Student Grant to attend ECIR 2019, Cologne, Germany
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December 2018: Received SIGIR Travel Grant to attend CHIIR 2019, Glasgow, UK
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November 2018: SC&I Fall 2018 Travel Awards to attend HICSS 2019, Hawaii, US
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November 2018: SC&I Fall 2018 Travel Awards (Merit) to attend HICSS 2019, Hawaii, US
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November 2018: SC&I Fall 2018 Travel Awards to attend ASIS&T 2018, Vancouver, Canada
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November 2018: SC&I Fall 2018 Travel Awards to attend SIGIR 2018, Ann Arbor, US
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March 2018: SC&I Travel Awards to attend HCI International 2018, Las Vegas, US
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March 2018: SC&I Travel Awards to attend CHIIR 2018, New Brunswick, US
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October 2017: SC&I Travel Award for presenting paper at ASIS&T 2017, Washington DC, US
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October 2017: Received DAAD Fellowship for summer school in IR.
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July 2015: Received DAAD Fellowship to attend ASIRF 2015, Katlenburg, Germany
SKILLS
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Deep Learning:
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Keras, Tensorflow (Proficient).
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High Level Languages:
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C, Java, C#, C++, Python (Proficient)
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MATLAB, Ruby, Hadoop, Spark (Familiar).
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Experimental Design
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Query Languages:
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SQL, PL/SQL, ACL
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Agile Methodology