Ph.D. Student

ABOUT ME

Hi! I am Kritika Garg. I am a Computer Science Ph.D. Student at Old Dominion University under the supervision of Dr. Michael L. Nelson. I’m a Web Science and Digital Libraries (WS-DL) research group member. My research includes web archiving, social media, and natural language processing. ​ In the past, I have been affiliated with the IBM Research India and Indian Institute of Technology Delhi.

Contact: LinkdIn, Google Scholar, Github, Twitter

Email: kgarg001@odu.edu

Blog: WS-DL Blog

Education

• Ph.D. in Computer Science

  Old Dominion University at Virginia, U.S.A (August 2019)

• B.Tech. in Information Technology

  Netaji Subhas University of Technology at Delhi, India (July 2015)

Work Experience

Graduate Teaching Assistant @ Old Dominion University (August 2019 - Present)

• Teaching Assistant for CS625, Data Visualization for Dr. Faryaneh Poursardar.
• Instructor for CS121, Introduction to Information Literacy and Research for Scientists.
• Teaching Assistant for CS361, Data Structures and Algorithms for Dr. Jay Morris.

Graduate Research Assistant @ Old Dominion University (August 2019 - Present), MENTOR: Dr. Michael Nelson, Dr. Michele Weigle

• Working as a Graduate Research Assistant at ODU CS, under the supervision of Dr.Michael Nelson, in Web Archiving Social Media Analysis.
• Time-Series analysis: Employed Markov chains for analysis of life-cycle of webpages through various HTTP status code transitions. Applied Shannon entropy & Compression algorithms to analyze the complexity of page lifecycle
• Survival analysis: Performed probabilistic modeling to estimate the survival probability of web pages over time, utilized Kaplan-Meier method reporting a half-life of 2.1 years

Software Developer @ Internet Archive (May 2021 - August 2021), Mentor: Mark Graham

• Worked for the Wayback Machine team at Internet Archive. The internship aimed to help improve the replay of Wayback Machine.
• Bash-Scripting for Data Scraping & Analysis: Build bash scripts for curating a paywall dataset, exploring the affecting factors, such as the variability of web crawling tools concerning JavaScript and/or Cookies settings.
• Data Visualization: Build a script on javascript on d3.js to visualize the citation network database curated using bash-scripting

Research Intern @ IBM, India (May 2018 - July 2018), *Mentor: Dr. Kuntal Dey

• NLP (Natural Language Processing) Performed Network Analysis over the topics in the network, focusing on information diffusion, homophily, and data lifecycles. Published work in ECIR 2018.
• Clustering Embedding: Developed a novel method for topic lifecycle analysis on Twitter, integrating GloVe embed- dings, K-means clustering, and PageRank via NetworkX, to map topic evolution and user influence.
• Supervised Machine learning: Developed “SocioTempr,” a Hashtag Prediction model for Twitter. Ingrain the social and temporal aspects with a supervised model based on word and sentence embeddings.

Research Intern @ Indian Institute of Technology, India (_May 2017 - August 2017), Mentor: Dr. Kuntal Dey, Dr. Saroj Kaushik

• Worked as a Research Intern at the Department of Computer Science and Engineering at IIT Delhi under the supervision of Prof. (Dr.) Saroj Kaushik and Dr. Kuntal Dey of IBM Research India.
• The core area of research is Natural Language Processing in the context of Social Networks.

Publications

Conference

1. Sawood Alam, Kritika Garg, Michele Weigle, Michael Nelson, Mark Graham and Dietrich Ayala, “TrendMachine: A Temporal Webpage Resilience Portal,” The ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL 2023)
2. Kritika Garg, Himarsha Jayanetti, Sawood Alam, Michele C. Weigle, and Michael L. Nelson, “Caching HTTP 404 Responses Eliminates Unnecessary Archival Replay Requests,” In Proceedings of the International Conference on Asia-Pacific Digital Libraries (ICADL). December 2022.
3. Himarsha Jayanetti, Kritika Garg, Sawood Alam, Michael L. Nelson, and Michele C. Weigle, “Robots Still Outnumber Humans in Web Archives, But Less Than Before,” In Proceedings of the Theory and Practice of Digital Libraries Conference (TPDL). September 2022. Best Student Paper Award.
4. Kritika Garg, Himarsha R. Jayanetti, Sawood Alam, Michele C. Weigle, Michael L. Nelson, Replaying Archived Twitter: When your bird is broken, will it bring you down?, The ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL 2021), September 2021.
5. Kuntal Dey, Saroj Kaushik, Ritvik Shrivastava, Kritika Garg, Assessing Topical Homophily on Twitter, The 6th International Conference on Complex Networks and their Applications (Complex Networks 2018), November 2019.
6. Kuntal Dey, Saroj Kaushik, Kritika Garg, Ritvik Shrivastava, A Socio-Temporal Hashtag Recommendation System for Twitter, The 6th International Conference on Complex Networks and their Applications (Complex Networks 2018), November 2018.
7. Kuntal Dey, Saroj Kaushik, Kritika Garg, Ritvik Shrivastava, Topic Lifecycle on Social Networks: Analyzing the Effects of Semantic Continuity and Social Communities, The 40th European Conference on Information Retrieval (ECIR 2018), March 2018.
8. Kuntal Dey, Saroj Kaushik, Kritika Garg, Ritvik Shrivastava, A Semantic Continuity Based Analysis of Topic Lifecycle on Social Networks. The 6th International Conference on Complex Networks and their Applications (Complex Networks 2017), November 2017.

Journal

1. Kritika Garg, Himarsha R. Jayanetti, Sawood Alam, Michele C. Weigle, Michael L. Nelson, Challenges in replaying archived Twitter pages, International Journal on Digital Libraries (IJDL 2023), August 2023.
2. Kuntal Dey, Saroj Kaushik, Kritika Garg, Assessing the role of participants in the evolution of topic life cycles on social networks, Computational Social Networks 2018, Springer Publication, Open Access Journal, August 2018.