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Prof. Venkateswara Rao Kagita

PhD (University of Hyderabad, Hyderabad.)

Assistant Professor Gr-I

Department of Computer Science and Engineering

Room No: Cluster 1 - B   +91-870-2464279
venkat.kagita@nitw.ac.in
9966456713 Edit Profile Bio Sketch

Research Areas

 Artificial intelligence 

 Recommender Systems, Machine Learning, Deep Learning 

  • Courses Handled
  • Research IDs
  • Selected Publications
  • Project/Consultancy
  • Current PhD Students
  • Awards and Accolades
  • Additional Responsibilities
  • Computational Thinking(CS5108)
  • Deep Learning(CS6326)
  • Computational Mathematics Practice(CS5204)
  • Mathematics for Computer Science(CS5102)
  • Principles of Data Warehousing and Data Mining(CS5354)
  • Fundamentals of Data Structures(CS395)
  • Data Science Fundamentals(CS5104)
  • Artificial Intelligence(CS5311)
  • ORC ID: https://orcid.org/0000-0002-4996-2011
  • Google Scholar ID: https://scholar.google.co.in/citations?user=aso5fJ0AAAAJ&hl=en


  • Inductive Conformal Recommender Systems, accepted , By Venkateswara Rao Kagita, Vikas Kumar, Arun K Pujari, and Vineet Padmanabhan, WORLD SCIENTIFIC PUBL CO PTE LTD , 5 TOH TUCK LINK, SINGAPORE, SINGAPORE, 596224, Knowledge based Systems, vol., pp., 2022
  • Efficient Computation of Top-K Skyline Objects in Data Set With Uncertain Preferences, By Nitesh Sukhwani, Venkateswara Rao Kagita, Vikas Kumar, Sanjaya Kumar Panda, IGI GLOBAL , 701 E CHOCOLATE AVE, STE 200, HERSHEY, USA, PA, 17033-1240, Data Warehousing and Mining, vol., pp., 2021
  • roup Preserving Label Embedding for Multi-label Classification, By Vikas Kumar, Arun K Pujari, Venkateswara Rao Kagita, and Vineet Padmanabhan, ELSEVIER SCI LTD , 125 London Wall, London, England, EC2Y 5AS, Pattern Recognition, vol., pp., 2019
  • Skyline Recommendation with Uncertain Preferences, By Venkateswara Rao Kagita, Arun K Pujari, Vineet Padmanabhan, and Vikas Kumar, ELSEVIER , RADARWEG 29, AMSTERDAM, Netherlands, 1043 NX, Pattern Recognition Letters, vol., pp., 2019
  • Multi-label Classification Using Hierarchical Embedding, By Vikas Kumar, Arun K Pujari, Vineet Padmanabhan, Sandeep Kumar Sahu, and Venkateswara Rao Kagita, PERGAMON-ELSEVIER SCIENCE LTD , THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD, ENGLAND, OX5 1GB, Expert Systems with Applications, vol., pp., 2018
  • Conformal Recommender System, By Venkateswara Rao Kagita, Arun K Pujari, Vineet Padmanabhan, Sandeep Kumar Sahu, and Vikas Kumar, ELSEVIER SCIENCE INC , STE 800, 230 PARK AVE, NEW YORK, USA, NY, 10169, Information Sciences, vol., pp., 2017
  • Bounds on Skyline Probability for Databases with Uncertain Preferences, By Venkateswara Rao Kagita, Arun K Pujari, Vineet Padmanabhan, ELSEVIER SCIENCE INC , STE 800, 230 PARK AVE, NEW YORK, USA, NY, 10169, Journal of Approximate Reasoning, vol., pp., 2017
  • Collaborative Filtering Using Multiple Binary MMMFs, By Vikas Kumar, Arun K Pujari, Sandeep Kumar Sahu, Venkateswara Rao Kagita, and Vineet Padmanabhan, ELSEVIER SCIENCE INC , STE 800, 230 PARK AVE, NEW YORK, USA, NY, 10169, Information Sciences, vol., pp., 2017
  • Proximal Maximum Margin Matrix Factorization for Collaborative Filtering, By Vikas Kumar, Arun K Pujari, Sandeep Kumar Sahu, Venkateswara Rao Kagita, and Vineet Padmanabhan, ELSEVIER , RADARWEG 29, AMSTERDAM, Netherlands, 1043 NX, Pattern Recognition Letters, vol., pp., 2017
  • Virtual user approach for group recommender systems using precedence relations, By Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan, ELSEVIER SCIENCE INC , STE 800, 230 PARK AVE, NEW YORK, USA, NY, 10169, Information Sciences, vol., pp., 2015

Development of biologically informed multi-omics deep learning framework for clinical diagnosis of cancer subtypes for precision therapy

  • Role Co-Principal Investigator
  • Type Research
  • Sponsor TIH-AI4ICPS
  • Duration 26 Months
  • Project Cost (INR) 1903088
  • Status Ongoing

RecExplain: A Transparent Recommender Systems through Explainable Latent Factor Model

  • Role Co-Principal Investigator
  • Type Research
  • Sponsor IoE-DU
  • Duration 11 Months
  • Project Cost (INR) 400000
  • Status Ongoing

Participatory budgeting with multi-dimensional constraints

  • Role Principal Investigator
  • Type Research
  • Sponsor SERB-SIRE
  • Duration 6 Months
  • Project Cost (INR) 1722538
  • Status Completed

Dynamic and Static Security Analysis of Large Power System using HPC

  • Role Co-Principal Investigator
  • Type Research
  • Sponsor DST-NSM
  • Duration 36 Months
  • Project Cost (INR) 4800000
  • Status Completed

Deep multi-source data fusion network for recommender system

  • Role Co-Principal Investigator
  • Type Research
  • Sponsor IoE-DU
  • Duration 11 Months
  • Project Cost (INR) 300000
  • Status Completed

Unified Framework for Personal, Group, and Package Recommendations

  • Role Principal Investigator
  • Type Research
  • Sponsor RSM
  • Duration 11 Months
  • Project Cost (INR) 500000
  • Status Completed


Busireddy Nagarjuna Reddy

  • Area of Research: Machine Learning/Recommender Systems

PRASAD EMMADI

  • Area of Research: Machine Learning/Recommendation Systems

SHAILENDRA KUMAR

  • Area of Research: RECOMMENDER SYSTEMS
  • DST-SERB-SIRE Fellowship
  • IEEE Senior Fellow
  • Faculty advisor for 2019 batch CSE (B) (January, 20220 - June, 2023)
  • Faculty advisor for 2023 batch CSE (A) (Continuing from June, 2023)
  • Erp coordinator (Continuing from September, 2021)
  • Faculty Advisor (July, 2021 - June, 2024)