sowmini

Sowmini Veeramachaneni

Assistant Professor
sowminidevi.v@mahindrauniversity.edu.in

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

  • Ph.D., Computer Science, University of Hyderabad, Hyderabad.
    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.

2015 - 2020

  • 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)

2023

  • 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

    • 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. 

    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