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Assistant Professor


Education : Ph.D. (IIT Madras)

Dr. Vinu E. Venugopal is currently an Assistant Professor at the International Institute of Information Technology, Bangalore, India. His research interests include various aspects of data management and have focused on scalable Big Data processing architectures, large-scale knowledge graphs and ontologies. His work has a technological focus and includes building systems for high-velocity stream data processing, distributed deep learning and reasoning.

He received his Ph.D. in Computer Science and Engineering (Dec 2017) from the Indian Institute of Technology Madras (IITM), India. Before joining IIIT Bangalore, he held positions as a Research Associate (Post-doc) in the Big Data, Data Science, and Databases research group at the University of Luxembourg (Mar 2018 - Dec 2021), and as an external lecturer for the Master in Data Science Program at the Leuphana University, Lüneburg, Germany.

He is a recipient of the IITM Institute Research Award in 2017 and has been selected for the Leonardo Research Fellowship in 2020. He has authored several international journals and conference publications, and two of them were nominated for the best paper awards. He has served as a PC member, a reviewer and an organizer for several international conferences, workshops and journals, including VLDB, SIGMOD, SWJ, CIKM, ICML, and many others.

More details about his broad industrial associations and educational background are given on his webpage (https://sites.google.com/site/vinueviitm).

My current research at IIITB has a technological focus that includes building systems for high-velocity stream data processing, distributed deep learning and scalable reasoning. I am broadly interested in working in the various facets of Large-scale Information/Data Management (such as distributed query processing, semantic indexing, information extraction and information retrieval), Knowledge Graphs, Neurosymbolic AI and Semantic Web Technologies. 

International Conferences (Full papers):

     Posters/Short Paper:


CS839 NoSQL Systems Term-II Jan-2023 - May-2022

CS876 Streaming Data Systems Term-I Aug-2022 - Jan-2023

CS838 Cloud Computing Term-II Dec-2021 - May-2022

1. DataLake Project - Gov. of Karnataka

2. AI-DataLake - CTRI-DG

3. Data Anonymization - CIET 

Please refer: https://bda-lab.github.io/projects/ for updated project details.

Scalable Data Science (ScaDS) Lab  (https://scads.iiitb.net/)

The ScaDS team focuses primarily on developing scalable solutions for diverse big data problems. The “Big” here refers to not just the volume of the data but also challenges concerning the variety, veracity, and velocity of the data.

This laboratory is a part of the Big Data Research Center established by Prof. Srinath Srinivasa in 2019 to enable collaboration between IIIT Bangalore, with City University London, as the UK partner, and Siemens Research, India, as the industry partner. In addition to the Royal engineering FCRA grant, the lab is also supported by several other grants and funding. Past projects carried out in the Big Data Research Center can be found on the WSL website.