Engineering Faculty

Dr. Sujatha R Upadhyaya

  • Director | Associate Professor SCHOOL OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY

Qualifications:

  • PhD (CSE)- IIT Madras, M.Tech (SACA)- NIT Karnataka, B.E- University of Mysore

Areas of expertise:

  • Ontologies, Machine Learning, Text & Data Analytics, NLP & AI

Experience:

An academician turned technology researcher, turned entrepreneur. Eleven plus years of academic experience, 12 years of research experience & 6 plus years of entrepreneurial experience as on March 2021.

Publications:

  • Sujatha R Upadhyaya, “Parallel Approaches to Machine Learning — A Comprehensive Survey”, Special Issue of Elsevier’s Journal of Parallel and Distributed Computing on “Models and Algorithms for High Performance Distributed Data Mining”, Volume 73, Issue 3, March 2013
  • David Toth, Sujatha R Upadhyaya, “An experiment with Asymmetric Algorithm — CPU Vs. GPU”, DASFAA 2012
  • Sujatha R Upadhyaya, Harikrishna G N Rai, Radhakrishna Pisipati “A Framework and Methodology for Location Based Personalized Services Discovery”, accepted at ICSEM 2011, SJMSOM, IIT –Bombay
  • Sujatha R Upadhyaya, “Evolving Training Methodologies for Text Mining in Social Media Monitoring Framework”, In proceedings of IIMA international conference on Advanced Data Analysis, Business Analytics and Intelligence, 2011.
  • Sujatha R Upadhyaya, “Promoting Analytics Services on Converged Digital Data”, Special Issue on Digital Convergence – SETLabs Briefings Aug 2010
  • Sujatha R Upadhyaya, Venugopal Subbarao, “Operational Intelligence and Predictive Analytics Workbench — The KE approach, Leveraging IT for Better performance, SETLabs Briefings, Vol 8, No 2, 2010
  • Sujatha R Upadhyaya, Venugopal Subbarao, “Operational Intelligence and Predictive Analytics Workbench — The KE approach, Knowledge Engineering and Management, SETLabs Briefings, Vol 7, No 5, 2009
  • Sujatha R Upadhyaya, Swaminathan Natarajan, Komal Kachru “Support to Decision Making” SETLabs Briefings, Vol7, No 5, 2009
  • Sujatha R Upadhyaya, Satyabrata Pradhan, “A Data Model In XML Schema for an Inference and Diagnostic Framework”, IEEE TENCON, 19-21 Sep 2008
  • Sujatha R Upadhyaya, P Sreenivasa Kumar, “Inferring from Ontologies with a Knowledge Table”, In proceedings of ACM SIGAI National Workshop on Artificial Intelligence. Held in Mumbai, India, 2006
  • Sujatha R Upadhyaya, Saleena N and P Sreenivasa Kumar, “Realizing Owl Individuals in XML Data” In proceedings of WEBKDD, Workshop on Knowledge Discovery on the Web, held in conjunction with the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago 21 Aug, 2005.
  • Sujatha R Upadhyaya, Saleena N and P Sreenivasa Kumar, “Realizing Owl Individuals in XML Data” In proceedings of WEBKDD, Workshop on Knowledge Discovery on the Web, held in conjunction with the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago 21 Aug =, 2005
  • Sujatha R Upadhyaya, Saleena N and P Sreenivasa Kumar, Knowledge Table Driven Ontology Enhancement, In proceedings of International Description Logic Workshop – DL 2005, Page 228, Edinburgh, UK, July 26-28, 2005.
  • Sujatha R Upadhyaya and P Sreenivasa Kumar, ERONTO: A tool for extracting OWL ontologies from Extended E/R Schema, In proceedings of ACM SAC 2005, Pages 555-671, Santa Fe, New Mexico, USA, March 13-17 2005.
  • M K MadhuMohan, Sujatha R Upadhyaya and P Sreenivasa Kumar, SAQI: Semantics Aware Query Interface, In proceedings of First International Conference on Distributed Computing and Internet Technology (ICDCIT 2004), Pages178-l93,LNCS3347,Bhubaneswar,lndia, Dec22-24, 2004.
  • Seema Shetty and Sujatha R. Upadhyaya, “E- Auction : Issues involving security Vs Business type”, In CSI Communications. 2002

Research Experience:

Four years of academic research as a PhD candidate & eight years of  technology research in various in industries & roles. Presented seminars, invited talks, reviewed papers in academia, industries & conferences.

Passion:  

Passionate about research & entrepreneurship, basically about relentless learning whether it is a subject or life itself.

Mission:

Be good & do good to all; if can’t, never be bad!