Dr Sharu Jose PhD

Dr Sharu Jose

School of Computer Science
Assistant Professor

Contact details

Email
s.t.jose@bham.ac.uk
Twitter
Address
School of Computer Science
University 麻豆精选
Edgbaston
Birmingham
B15 2TT
UK

Sharu Jose is an Assistant Professor in the Department of Computer Science. Her research interests lie broadly at the intersection of information theory, learning theory and machine learning. In particular, she is interested in information-theoretic generalization analysis of classical and quantum machine learning models, hybrid quantum-classical variational algorithms (convergence/generalization) and quantum error mitigation.

Qualifications

  • Ph.D. in Information Theory, 2018 (Indian Institute of Technology Bombay, India)
  • M.Tech in Systems and Control Engineering, 2013
    (Indian Institute of Technology Roorkee, India)
  • B.Tech in Electrical and Electronics Engineering, 2011
    (University of Kerala, India)

Biography

Dr. Sharu Theresa Jose received her Ph.D. from Indian Institute of Technology Bombay (IITB), India in August of 2018. Her thesis was on finite blocklength information theory with her main contribution being 聽a novel linear programming-based framework to develop converses for coding problems in information theory. During the course of her Ph.D., she published 3 articles in the IEEE Transactions on Information Theory, and was awarded the Best Ph.D. Thesis Award from IITB.

From October 2019 to July 2022, she was a postdoctoral researcher with Prof. Osvaldo Simeone of King's College London working on problems at the intersection of information theory and machine learning.

Postgraduate supervision

Quantum Machine Learning - Theoretical and Algorithmic Foundations

Research

Her broad interests lie at the intersection of machine learning (classical and quantum), statistical learning theory and information theory. She aims to use information-theory to advance theoretical understanding of learning problems as well as algorithm development. Some of her recent works include:

1. Information-theoretic generalization analysis of multi-task learning problems that include transfer learning and meta-learning

2. Quantum machine learning - generalization analysis, convergence analysis of variational quantum algorithms in NISQ devices, quantum error mitigation

Publications

Recent publications

Article

Banchi, L, Pereira, JL, Jose, ST & Simeone, O 2024, '', Advanced Quantum Technologies.

Jose, ST & Moothedath, S 2024, '', Entropy, vol. 26, no. 7, 606.

Zhang, Y, Simeone, O, Jose, ST, Maggi, L & Valcarce, A 2023, '', IEEE Transactions on Cognitive Communications and Networking, vol. 9, no. 5, pp. 1282-1295.

Jose, ST & Simeone, O 2022, '', Entropy, vol. 24, no. 4, 485.

Jose, ST & Simeone, O 2022, '', IEEE Transactions on Quantum Engineering, vol. 3, 3103119.

Jose, ST, Simeone, O & Durisi, G 2022, '', IEEE Transactions on Information Theory, vol. 68, no. 1, pp. 474-501.

Jose, ST & Simeone, O 2021, '', IEEE Signal Processing Magazine, vol. 38, no. 2, pp. 120-125.

Jose, ST & Simeone, O 2021, '', Entropy, vol. 23, no. 1, 126.

Conference contribution

Jose, S, Park, S & Simeone, O 2022, . in G Camps-Valls, FJR Ruiz & I Valera (eds), International Conference on Artificial Intelligence and Statistics, 28-30 March 2022, A Virtual Conference. Proceedings of Machine Learning Research, vol. 151, Proceedings of Machine Learning Research, pp. 9758-9775, The 25th International Conference on Artificial Intelligence and Statistics, 28/03/22. <>

Jose, S & Simeone, O 2021, . in 2021 IEEE International Symposium on Information Theory (ISIT)., 9517767, IEEE International Symposium on Information Theory proceedings, IEEE, pp. 1534-1539, 2021 IEEE International Symposium on Information Theory, Melbourne, Victoria, Australia, 12/07/21.

Jose, S & Simeone, O 2021, . in 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)., 9596170, Machine learning for signal processing , IEEE.

Rezazadeh, A, Jose, S, Durisi, G & Simeone, O 2021, . in 2021 IEEE International Symposium on Information Theory (ISIT)., 9518020, IEEE International Symposium on Information Theory proceedings, IEEE, pp. 1176-1181.

Jose, S & Simeone, O 2021, . in 2021 29th European Signal Processing Conference (EUSIPCO)., 9616270, European Signal Processing Conference , IEEE, pp. 1461-1465, 29th European Signal Processing Conference (EUSIPCO 2021), Dublin, Ireland, 23/08/21.

Jose, S, Simeone, O & Zhang, Y 2021, . in 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)., 9596239, Proceedings of the IEEE Signal Processing Society Workshop, IEEE, 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), Gold Coast, Queensland, Australia, 20/09/21.

Jose, S & Simeone, O 2020, . in IEEE International Symposium on Information Theory and Applications. <>