Quick facts
Dr. Sowmini Devi Veeramachaneni is an Assistant Professor in the Computer Science & Engineering Department at Mahindra University, with a Ph.D. in Computer Science from the University of Hyderabad focused on novel techniques for cross‑domain recommendation. Her research areas include machine learning, transfer learning, and recommender systems, with multiple publications on matrix factorization–based and hinge‑loss/codebook‑transfer methods for cross‑domain recommendation and experience as a reviewer for leading journals such as IEEE Transactions on Cybernetics, Neurocomputing, and IEEE Access.
Publications
No publications added yet.
Research
No Research Interests added yet.
Sowmini Veeramachaneni
Assistant Professor
Dr. Sowmini Devi Veeramachaneni is an Assistant Professor in Computer Science & Engineering Department at Mahindra University. Sowmini has competed her Ph.D. from University of Hyderabad. She also holds a master’s degree in computer science from University of Hyderabad.
- 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.
- 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
Journals/Conferences Invited Reviewer
- Journal of Computational Design and Engineering
- IEEE Transactions on Cybernetics
- Neurocomputing
- IEEE Access
- Science China Information Sciences (SCIS)
- International Conference on Advanced Computing and Intelligent Engineering (ICACIE)
- 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