I'm a Postdoctoral Fellow at the Luddy School of Informatics, Computing and Engineering at Indiana University, Bloomington working with Santo Fortunato. My research is primarily focused on understanding the evolution of scientific enterprise through the lens of graph mining.

Ph. D. in Computer Science & Engineering

• Advised by Tim Weninger
• Recipient of the Outstanding Graduate Student Instructor Award
• Thesis: Scalable and Interpretable Graph Modeling with Graph Grammars
• Committee: David Chiang, Peter Kogge, Danai Koutra, and Tim Weninger

B. Tech. in Computer Science & Engineering

• Advised by Partha Basuchowdhuri and Subhashis Majumder
• Recipient of the Best Student Award for Academic Excellence
• Thesis: Learning Models for Influence Maximization

Postdoctoral Fellow

• Investigating collaboration and citation networks to model scientific enterprise.

Research Intern

• Mining and modeling large attributed social graphs

Graduate Research Assistant

• Studying scalable and interpretable graph generative models using graph grammars

Undergraduate Research Assistant

• Developed novel graph clustering algorithms

Instructor of Record for Theory of Computing

• Required course on introduction to formal languages and automata, computability theory, and complexity theory with the goal of developing understanding of the power and limits of different computational models. Class size: 100, composite median score: 4.7 / 5.

Instructor of Record for Discrete Mathematics

• Required course on introduction to mathematical techniques fundamental to computer science. Class size: 50, composite median score: 3.7 / 5.

1. Collaboration and Topic Switches in Science

   Apr 2023

   
   

   Sara Venturini *

   Satyaki Sikdar *

   Francesco Rinaldi

   Francesco Tudisco

   Santo Fortunato

   (*: equal contribution)

   
   

   In-press

   
   

   paper   arXiv

2. Consistency Pays Off in Science

   Mar 2023

   
   

   Sirag Erkol

   Satyaki Sikdar

   Filippo Radichhi

   Santo Fortunato

   
   

   Quantitative Science Studies (QSS)

   
   

   paper   arXiv

3. Attributed Graph Modeling with Vertex Replacement Grammars

   Feb 2022

   
   

   Satyaki Sikdar

   Neil Shah

   Tim Weninger

   
   

   ACM International Conference on Web Search and Data Mining (WSDM)

   
   

   paper   arXiv   code   slides

4. The Infinity Mirror Test for Graph Models

   Jan 2022

   
   

   Satyaki Sikdar

   Daniel Gonzalez Cedre

   Trenton W. Ford

   Tim Weninger

   
   

   IEEE Transactions on Knowledge and Data Engineering (TKDE)

   
   

   paper   arXiv   code   slides

5. Joint Subgraph-to-Subgraph Transitions: Generalizing Triadic Closure for Powerful and Interpretable Graph Modeling

   Mar 2021

   
   

   Justus Hibshman

   Daniel Gonzalez Cedre

   Satyaki Sikdar

   Tim Weninger

   
   

   ACM International Conference on Web Search and Data Mining (WSDM)

   
   

   paper   arXiv   code

6. Towards Interpretable Graph Modeling with Vertex Replacement Grammars

   Dec 2019

   
   

   Justus Hibshman

   Satyaki Sikdar

   Tim Weninger

   
   

   IEEE International Conference on Big Data (BigData)

   
   

   paper   arXiv   slides

7. Modeling Graphs with Vertex Replacement Grammars

   Nov 2019

   
   

   Satyaki Sikdar

   Justus Hibshman

   Tim Weninger

   
   

   IEEE International Conference on Data Mining (ICDM)

   
   

   paper   arXiv   code   slides

8. Fast Detection of Community Structures using Graph Traversal in Social Networks

   Apr 2019

   
   

   Partha Basuchowdhuri

   Satyaki Sikdar

   Varsha Nagarajan

   Khusbu Mishra

   Surabhi Gupta

   Subhashis Majumder

   
   

   Knowledge and Information Systems (KAIS)

   
   

   paper   arXiv   code

9. Synchronous Hyperedge Replacement Graph Grammars

   Jan 2018

   
   

   Corey Pennycuff

   Satyaki Sikdar

   Catalina Vajiac

   David Chiang

   Tim Weninger

   
   

   International Conference on Graph Transformation (ICGT)

   
   

   paper   code   slides

10. Detecting Community Structures in Social Networks by Graph Sparsification

    Mar 2016

    
    

    Partha Basuchowdhuri

    Satyaki Sikdar

    Sonu Shreshtha

    Subhashis Majumder

    
    

    ACM IKDD Conference on Data Science (CoDS)

    
    

    paper   code   slides

1. Heritage Institute of Technology, Kolkata, India

   Sep 2022

2. Indian Association for the Cultivation of Science, Kolkata, India

   Sep 2022

3. University of Louisville, Louisville, KY

   Mar 2022

4. Lawrence Livermore National Laboratory, Livermore, CA virtual

   Apr 2021

5. University of Illinois, Urbana, IL virtual

   Apr 2021

6. Missouri State University, Springfield, MO virtual

   Feb 2021

7. South Dakota State University, Brookings, SD virtual

   Dec 2020

8. Indian Association for the Cultivation of Science, Kolkata, India

   Oct 2019

9. Vidyasagar College, Kolkata, India

   Jan 2016

1. International Committee Leader.

   Jun 2022 –

   Postdoc Association Indiana University Bloomington

2. Program Committee Member.

   SDM 2023, ICWSM 2022, CIKM 2022, SDM 2021, CIKM 2021, ICWSM 2020, BigData 2019, WISE 2019

3. Reviewer.

   IEEE TKDE, Journal of Combinatorial Optimization, Physical Review E, PLOS One, ACM TDS, DMKD, International Journal Cooperative Information Systems, Journal of Logic & Computation

4. External Reviewer.

   IEEE ICDM, CIKM, The Web Conference, WSDM, KDD, AAAI

5. Volunteer.

   The Scoop from Grad Students

   Dec 2019

6. Panelist.

   Preparing a Grad School Application

   Dec 2019

7. Member.

   Notre Dame CSE Graduate Student Board

   2019 – 2020

8. Volunteer Judge.

   Northern Indiana Regional Science & Engineering Fair

   2019, 2020

9. Chair, Vice Chair, and Secretary.

   2014 – 2017

   Heritage Institute of Technology ACM Student Chapter

10. Member.

    ACM

    2013 –