Sowmini Devi Veeramachaneni

Dr. Sowmini Devi Veeramachaneni is an Assistant Professor in the Department of Computer Science and Engineering at Mahindra University. She received her Ph.D. and master’s degree in computer science from the University of Hyderabad. 

Her research interests include Artificial Intelligence, Machine Learning, Recommender Systems, Transfer Learning, Data Analytics, and Optimization Techniques. Her work focuses on developing intelligent data-driven solutions that can effectively learn from limited, sparse, or incomplete information and support better decision-making in real-world applications. She has worked extensively in the areas of recommender systems and machine learning, with a particular interest in knowledge transfer across domains and predictive analytics.  

Dr. Sowmini has published her work in international journals and conferences. She is interested in developing practical machine learning solutions for real-world applications.

• Ph.D., Computer Science, University of Hyderabad, Hyderabad.
  Thesis Topic: Novel Techniques for Cross-Domain Recommendation

• M.Tech., Computer Science, University of Hyderabad, Hyderabad, 2014.
  Thesis Topic: Recommender Systems: A Matrix Factorisation based Approach

• B.Tech., Computer Science & Engineering, PVP Siddhartha Institute of Technology, JNTUK, Vijayawada, 2012.

• Akshar Chintalapally, Sowmini Devi Veeramachaneni, Yaswanth Gavini, Arun K Pujari.  A study on data imputation and prediction modelling using maximum margin matrix factorization, Knowledge and Information Systems (2026).  https://doi.org/10.1007/s10115-026-02764-8
• Arun K Pujari, Sowmini Devi Veeramachaneni, Gradient based Hybridization of PSO, International Conference on Computer Science and Artificial Intelligence (CSAI), 2023. https://doi.org/10.1145/3638584.3638592

• Sowmini Devi Veeramachaneni, Arun K Pujari, Vineet Padmanabhan, and Vikas Kumar, A hinge-loss based codebook transfer for cross-domain recommendation with non-overlapping data, Information Systems, 2022. https://doi.org/10.1016/j.is.2022.102002

• Sowmini Devi Veeramachaneni, Arun K Pujari, Vineet Padmanabhan, and Vikas Kumar, A Maximum Margin Matrix Factorisation based Transfer Learning Approach for Cross-Domain Recommendation, Applied Soft Computing, 85:105751, 2019. https://doi.org/10.1016/j.asoc.2019.105751

• Sowmini Devi, Vineet Padmanabhan, Arun K Pujari, A matrix factorisation & clustering-based approach for transfer learning, Pattern Recognition and Machine Intelligence (PReMI), Springer International Publishing, pages 77–83, 2017.

• Salman K. H, Arun K Pujari, Vikas Kumar, and Sowmini Devi V., Combining swarm with gradient search for maximum margin matrix factorization. The Pacific Rim International Conference on Artificial Intelligence (PRICAI), pages 167–179, 2016. https://doi.org/10.1007/978-3-319-42911-3_14

• Sowmini Devi, Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan., Collaborative filtering by PSO-based MMMF, IEEE International Conference on Systems, Man, and Cybernetics (SMC), pages 569-574, 2014. https://doi.org/10.1109/SMC.2014.6973968

Professional Service: Reviewer for Journals and Conferences.

Reviewer for several reputed international journals and conferences, including IEEE Transactions on Cybernetics, Neurocomputing, IEEE Access, IEEE Transactions on Network and Service Management, ACM Transactions on Knowledge Discovery from Data (TKDD), Knowledge and Information Systems, International Journal of Machine Learning and Cybernetics, Science China Information Sciences, Social Network Analysis and Mining, Journal of Computational Design and Engineering, Journal of Intelligent & Fuzzy Systems, Computational Intelligence and Neuroscience, IEEE International Conference on Systems, Man, and Cybernetics (SMC), International Conference on Neural Information. Processing (ICONIP 2022), Women in Computer Vision Workshop (WiCV 2023, 2024) in conjunction with CVPR, International Conference on Advanced Computing and Intelligent Engineering (ICACIE), ICETCI 2022, ICETCI 2023, ICETCI 2024, Advanced Communications and Machine Intelligence (MICA 2024), and other international venues. 

• Sowmini Devi Veeramachaneni is an Assistant Professor in Computer Science & Engineering Department at Mahindra University.

• Research cum Teaching Assistant, University of Hyderabad, (July 2015 to July 2020)

• Lecturer, Rajiv Gandhi University of Knowledge Technologies (RGUKT-IIIT), Nuzvid. Andhra Pradesh, (July 2014 – June 2015)
• Internship, Tata Consultancy Services (TCS), Hyderabad. (January 2014 – May 2014)

• Teaching Assistant, University of Hyderabad, (June 2013 to June 2014)

Her research areas include Machine Learning, Transfer Learning, Recommender Systems

Awards

• Qualified CSIR – UGC – NET with an All India Rank of 70
• Qualified UGC – NET
• Qualified GATE 2012 with 98.57 percentile