I am a Research Scientist in the Integrated Data Systems Department in Siemens Corporate Research , Princeton, NJ. Education: PhD. Computer Science , State University of New York, Stony Brook , 2005 BTech. Computer Science, Indian Institute of Technology (Kharagpur) , 1999

Research

• Text Analytics
• Knowledge-based Reasoning
• Applications of Machine Learning

I am interested in the synergy between statistical text analytics and knowledge based reasoning and, particularly, in investigating the use of light-weight semantics in combination with machine learning techniques for scalable and automated information retrieval.

Projects in Siemens

• Power Semantics: Analyzing various unstructured text service reports in Siemens Power Generation for more efficient tracking, monitoring, and searching service related activities.
• Data Cleansing: Reconciling inconsistencies between various data sources using a combination of learning techniques and rules.
• Spend Analysis: Automatic classification of material master descriptions of spend transactions to commodity code hierarchies.
• Theseus-Medico: Developing technologies for bringing Semantic Web concepts of ontologies, metadata and their representation in RDF, RDFS, and OWL to medical imaging for semantic image understanding and retrieval.

Selected Publications:

• Classifying Spend Transactions with Off-the-Shelf Learning Components - Saikat Mukherjee, Dmitriy Fradkin, Michael Roth in IEEE International Conference on Tools in Artifical Intelligence (ICTAI)' 2008
  
  
• Medical Image Understanding through the Integration of Cross-Modal Object Recognition with Formal Domain Knowledge - Manuel Moeller, Michael Sintek, Paul Buitelaar, Saikat Mukherjee, Xiang Sean Zhou, Joerg Freund in International Conference on Health Informatics (HEALTHINF) 2008 [pdf]
  
  

Phd dissertation
In my PhD dissertation, Automated Semantic Analysis of Schematic Data , I worked on the semantic understanding of template-generated semi-structured and unstructured data sources. By coupling machine learning and domain knowledge I developed highly automated and scalable solutions to this problem. I have applied my dissertation ideas to relevant problems in assistive technologies, mobile devices browsing, Web transactions, and information extraction.

Selected Publications:

• Automated Semantic Analysis of Schematic Data - Saikat Mukherjee, I.V. Ramakrishnan in World Wide Web Journal (Springer), online first 2008 [pdf]
  
  
• Bootstrapping Semantic Annotation for Content-Rich HTML Documents - Saikat Mukherjee, I.V. Ramakrishnan, Amarjeet Singh in International Conference on Data Engineering (ICDE)' 2005 [pdf]
  
  
• Automatic Annotation of Content-Rich Web Documents: Structural and Semantic Analysis - Saikat Mukherjee, Guizhen Yang, I.V. Ramakrishnan in International Semantic Web Conference (ISWC)' 2003 [pdf]
  
  

Complete list of publications. [DBLP entry]

CV [pdf]

Professional Activities:

• Program Committee Member
  • European Semantic Web Conference (ESWC) 2008, 2007
  • IEEE Intl. Conf. on Data Mining (ICDM) 2006
  • Intl. Conf. on Ontologies, Databases, and Applications of Semantics (ODBASE) 2005

Work Experience

• Siemens Corporate Research , 2005 - present
• IBM T.J. Watson Research Lab , summer' 2002
• XSB Inc. , fall' 2000 - fall' 2001
• Telcordia Technologies (formerly Bellcore) , summer' 2000

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Contact Information:

755 College Road East, Princeton, NJ, 08540
(609) 734 3371