Animesh Mukherjee


Sorry No Pic

Present Affiliation:

Associate Professor
Department of Computer Science and Engineering,
Indian Institute of Technology, Kharagpur, Poschimbongo, India -- 721302,
Simons Associate, ICTP, Trieste, Italy
and
Humboldt Fellow (Experienced Researchers)

I am on sabbatical leave from August 1, 2018 - December 31, 2018 at the University of Hamburg.

Phone: +91-3222283472 (Office)    +91-3222283473 (Residence)
Email: animeshm-at-cse-dot-iitkgp-dot-ac-dot-in

Brief Bio:

Presently I am an Associate Professor in the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur. Prior to this, I was working as a post doctoral researcher in the Complex Systems Lagrange Lab, ISI Foundation, Italy. I received my PhD from the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur with a thesis on self-organization of human speech sound inventories. My main research interests center around applying complex system approaches (mainly complex networks and agent-based simulations) to different problems in (a) human language evolution and change, (b) web social media, (c) information retrieval and (d) natural language processing.

Note to aspiring applicants:

  1. For Post-Doc: The Institute now has a regularized procedure to appoint post-docs. Interested candidates may directly write to me with a copy of their recent resume and one letter of recommendation. The formal process for application is outlined here. You can apply here.
  2. For PhD: The Institute has a centralized policy for PhD entrance. You can apply here. The syllabus for the entrance test is here.
  3. For MS: For MS you have to first get through some project. For project advertisements from CNeRG see here. Once you are already a project staff you can apply for MS here. The syllabus for the entrance test is here. However, these days I am reluctant of taking MS students since I am more interested in longer commitments, e.g., sponsored/direct PhDs.
  4. For internships: We only offer summer internships; therefore, do not apply for internships in fall. In general, your internship requests directly to my mail-box will never be acknowledged! Therefore, rather apply online.

News/Upcoming Events:

Year 2019


New paper accepted in ICWSM 2019: "Woman-Metal-White vs Man-Dress-Shorts": Combining Social, Temporal and Image Signals to Understand Popularity of Pinterest Fashion Boards.

Year 2018


Abhisek receives the TCS PhD fellowship.

Our work incivility detection in Twitter covered by TechXplore.

Our work connecting book reading behavior on Goodreads and Amazon best sellers covered by TechXplore, geek.com and phys.org.

New chapter accepted in Machine Learning Techniques for Online Social Networks (LNSN): Centrality and Community Scoring Functions in Incomplete Networks: Their Sensitivity, Robustness, and Reliability.

New chapter accepted in Influence and Behavior Analysis in Social Networks and Social Media (LNSN): Analyzing Social Book Reading Behavior on Goodreads and how it predicts Amazon Best Sellers.

New paper accepted in Social Media Mining for Health Applications (SMM4H) Workshop & Shared Task of EMNLP 2018: Deep learning for social media health text classification.

New paper accepted in CSCW 2018: Opinion Conflicts: An Effective Route to Detect Incivility in Twitter.

New paper accepted in CIKM 2018: On Rich Clubs of Path-Based Centralities in Networks.

New paper accepted in IEEE Transactions on Computational Social Systems: Analyzing Linguistic Structure of Question Texts to Characterize Answerability in Quora.

We won the best paper award in ICTS4eHealth 2018.

New paper accepted in ASONAM 2018: Core2Vec: A core-preserving feature learning framework for networks.

New poster accepted in ASONAM 2018: One size does not fit all: Predicting product returns in e-commerce platforms.

New paper accepted in COLING 2018: WikiRef: Wikilinks as a route to recommending appropriate references for scientific Wikipedia pages.

New paper accepted in ICTS4eHealth 2018: Understanding Psycholinguistic Behavior of Predominant Drunk Texters in Social Media.

New paper accepted in ECML-PKDD Journal Track 2018 (Data Mining and Knowledge Discovery Journal): Using Core-Periphery Structure to Predict High Centrality Nodes in Time-Varying Networks.

Mayank selected to attend the prestigious Sixth Heidelberg Laureate Forum.

New demo paper accepted in NAACL 2018: CL Scholar: The ACL Anthology Knowledge Graph Miner.

Unrestricted research grant from Adobe Research.

New paper accepted in IJDL 2018: On the effectiveness of the scientific peer-review system: a case study of the Journal of High Energy Physics.

New paper accepted in AAMAS 2018: ComPAS: Community Preserving Sampling for Streaming Graphs.

Inducted to the board of COMSNETS from 2018.

Shall serve as the General Chair of COMSNETS 2019.

New poster paper accepted in ACM GROUP 2018: Why Did They #Unfollow Me? Early Detection of Follower Loss on Twitter.

New poster paper accepted in ACM GROUP 2018: Understanding Book Popularity on Goodreads.

Year 2017


I become an ACM Distinguished Speaker for the next three years.

Invited to attend the workshop on AI and Social Good organised by Microsoft Research India.

Invited speaker at the workshop on User Generated Content Analysis organised by IISc Bangalore.

Received the prestigious Humboldt Fellowship for Experienced Researchers.

Our TKDD 2016 paper on Permanence and community structure in complex networks included in ACM's 21st Annual Best of Computing.

New paper accepted in EMNLP 2017: All that is English may be Hindi: Enhancing language identification through automatic ranking of the likeliness of word borrowing in social media.

Our KDD 2017 promotional video.

New paper (poster mode presentation) accepted in ACM SIGKDD 2017: Relay-linking models for prominence and obsolescence in evolving networks.

New short paper accepted in ACM/IEEE ASONAM 2017: Book Reading Behavior on Goodreads Can Predict the Amazon Best Sellers.

New paper accepted in WOSP 2017: AppTechMiner: Mining Applications and Techniques from Scientific Articles.

New paper accepted in TextGraphs 2017: Adapting predominant and novel sense discovery algorithms for identifying corpus-specific sense differences.

New paper accepted in ACM Computing Surveys: Metrics for Community Analysis: A Survey.

Sandipan and Mayank selected for ACM/IEEE JCDL 2017 Doctoral Colloquium.

Suman selected to attend the prestigious Fifth Heidelberg Laureate Forum.

New paper accepted in ACM/IEEE JCDL 2017: Understanding the Impact of Early Citers on Long-Term Scientific Impact.

New paper accepted in ACM/IEEE JCDL 2017: WikiM: Metapaths based Wikification of Scientific Abstracts.

New paper accepted in ACM/IEEE JCDL 2017: Influence of Reviewer Interaction Network on Long-term Citations: A Case Study of the Scientific Peer-Review System of the Journal of High Energy Physics.

New short paper accepted in ACM/IEEE JCDL 2017: Citation sentence reuse behavior of scientists: A case study on massive bibliographic text dataset of computer science.

New poster paper accepted in ICWSM 2017: Language Use Matters: Analysis of the Linguistic Structure of Question Texts can Characterize Answerability in Quora.

We (Mayank, Barnopriyo, Priyank, Manvi,Sidhartha, Samuel, Ayush, Krishna, Tulasi, Pawan, Animesh) receive the Gandhian Young Technological Innovation Award/Appreciation 2017 for the OCR++ technology.

We (Animesh, Pawan (IITKGP), Chris, Timo (Univ. of Hamburg) win the DST-DAAD PPP 2017 on Large-scale text analytics to identify temporal and media specific scopes of words.

Shall serve as the Progam Committee Co-Chair for COMSNETS 2018.

New paper accepted in Europhysics Letters: Threshold-based epidemic dynamics in systems with memory.

New poster paper accepted in CSCW 2017: Detection of sockpuppets in social media.

Invited to attend a workshop on Computation, Sciences and Society at the Infosys Mysore Campus.

Suman selected for CSCW 2017 Doctoral Colloquium with full travel funding.

Suman selected for HICSS-50 Doctoral Colloquium.

New paper accepted in HICSS-50: A Large-scale Analysis of the Marketplace Characteristics in Fiverr.