Sowmini Veeramachaneni
Assistant Professor
sowminidevi.v@mahindrauniversity.edu.in
Ms. Sowmini Devi Veeramachaneni is an Academic Associate in Computer Science & Engineering Department at Mahindra University. Sowmini has submitted her Ph.D. dissertation at University of Hyderabad. She also holds a master’s degree in computer science from University of Hyderabad.
Ph.D
- Ph.D., Computer Science, University of Hyderabad, Hyderabad. (Thesis submitted)
Thesis Topic: Novel Techniques for Cross-Domain Recommendation
M.Tech
- M.Tech., Computer Science, University of Hyderabad, Hyderabad, 2014.
Thesis Topic: Recommender Systems: A Matrix Factorisation based Approach
B.Tech
- B.Tech., Computer Science & Engineering, PVP Siddhartha Institute of Technology, JNTUK, Vijayawada, 2012.
2020 - 2015
- Research cum Teaching Assistant, University of Hyderabad, (July 2015 to July 2020)
2014 - 2015
- 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)
2013 - 2014
- Teaching Assistant, University of Hyderabad, (June 2013 to June 2014)
2022
- 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
2019
- 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
2017
- 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. https://doi.org/10.1007/978-3-319-69900-4_10 1/2
2016
- 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
2014
- 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)
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