Santhilata Venkata

Santhilata Venkata

The Department of Strategy and International Business
Senior Research Fellow

Contact details

Birmingham Business School
University of Birmingham
B15 2TT

Santhilata Kuppili Venkata is a researcher, academic and data scientist. She received her PhD from Kings College London, UK in Computer Science. Her interests are developing practical approaches of data science and machine learning concepts to real life applications. 


  • PhD in Computer Science, 2017, King’s College London, UK
  • M.Tech in Computer Engineering, Veermata Jijabai Technological Institute, Mumbai, India, 2007


Santhilata is currently working as an Honorary Senior Research Fellow at the Birmingham Business School within the College of Social Sciences, University of Birmingham. Prior to joining University of Birmingham, Santhilata was a Digital Archiving Researcher at the National Archives, UK, and a post-doc research associate at the Francis Crick Institute for Cancer Research in London, UK. Her expertise is in developing solution architectures for practical applications. She is also working as a Lead Data Scientist for Animal Friends Insurance Limited.

Santhilata’s research interests are in Data Science, Machine Learning, Distributed Data Transfer Systems, and Optimization. Her doctoral thesis was on developing a collaborative cache framework for distributed databases using multi-agent systems.

During her time with the National Archives, Santhilata conducted active research in developing AI models for the record selection process for archiving text file format identification and contextual search algorithms for email archives.

Santhilata was an assistant professor at higher education technological institutes in India and the UK, teaching courses related to computer science to Undergraduate and Masters degree students.


  • Visiting Professor, Kings College London, 2017
  • Graduate teaching assistant, Kings College London (2013-17)
  • Assistant Professor, Birla Institute of Technology and Science, Pilani, Goa campus (2009-2012)
  • Assistant Professor, Mumbai University, (2000 – 2009)

Postgraduate supervision

  • Graduate teaching assistant, Kings College London (2013-17)
  • PG student teaching and project supervision, BITS-Pilani, Goa campus, 2009-2012


  • Machine Learning and Data Science
  • AI for Digital Archiving
  • Intelligent Systems

Other activities

Currently no active memberships.


The Dotcom Archive: Contextualizing Email Archives, Decker, S., Nix, A., Kirsch, D. & Kuppili Venkata, S., 11 May 2022.

Santhilata Kuppili Venkata, Paul Young, Mark Bell, Alex Green, Alexa, is this a historical record? Journal on Computing and Cultural Heritage, Volume 15 Issue 1 February 2022, Article No.: 7,pp 1–20

Decker, S., Kuppili Venkata, S. et al. “Digital Curious: Context beyond the search window”, Accepted for publication at DCDC 22.

S. Kuppili Venkata, S. Decker, D. A. Kirsch and A. Nix, "EMCODIST: A Context-based Search Tool for Email Archives," 2021 IEEE International Conference on Big Data (Big Data), 2021, pp. 2281-2290, doi: 10.1109/BigData52589.2021.9671832.

Decker, S., Kirsch, D.A., Kuppili Venkata, S. et al. Finding light in dark archives: using AI to connect context and content in email. AI & Soc (2021).

Santhilata Kuppili Venkata, Paul Young, Alex Green, Using Machine Learning for Text File Format Identification. 17th International Conference on Digital Preservation, iPRES 2021 page(25) Preprint: .

Santhilata Kuppili Venkata, Katarzyna Musial, Sub-query Fragmentation for Query Analysis and Data Caching in the Distributed Environment, 2019. Arxiv Pre-print: arxiv:1910.04991[cs.DB].

Santhilata Kuppili Venkata, Alex Green, Computational Intelligence to Aid Text File Format Identification. 2019. Preprint on e-Lis.

Dimitra Repana, Joel Nulsen, Lisa Dressler, Michele Bortolomeazzi, Santhilata Kuppili Venkata, Aikaterini Tourna, Anna Yakovleva, Tommaso Palmieri & Francesca D. Ciccarelli, The Network of Cancer Genes (NCG): a comprehensive catalogue of known and candidate cancer genes from cancer sequencing screens. Genome Biology, Springer, 2019.

Santhilata Kuppili Venkata, Katarzyna Musial, Samhar Mahmoud and Jeroen Keppens, Multi-Agent System for Distributed Cache Maintenance. Published in the proceedings of 15th International Conference on Practical Applications of Agents and Multi-Agent Systems, 2017.

Santhilata Kuppili Venkata, Katarzyna Musial, Samhar Mahmoud and Jeroen Keppens, Comm- Cache - An Agent-based Framework for Distributed Cache Maintenance, Demo paper published in 15th International Conference on Practical Applications of Agents and Multi-Agent Systems, 2017.