Sharu Theresa Jose
Scholar

Sharu Theresa Jose

Google Scholar ID: hhaiVGYAAAAJ
Assistant Professor, University of Birmingham
Statistical Learning TheoryQuantum Machine LearningInformation TheoryGame Theory
Citations & Impact
All-time
Citations
374
 
H-index
12
 
i10-index
12
 
Publications
20
 
Co-authors
18
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • - Best Ph.D. Thesis Award, Indian Institute of Technology Bombay, India, August 2019.
  • - Runner-up best paper award at the International Conference on Signal Processing and Communications (SPCOM), June 2018, IISc Bangalore, India.
  • - Best paper award at the 23rd National Conference on Communications (NCC), March 2017, IIT Madras, Chennai, India.
  • - Recipient of Dr. Jaykrishna Medal for outstanding M.Tech Graduate, IIT Roorkee, September 2013.
  • - Recipient of Deutsche Akademischer Austauch Dienst (DAAD) Fellowship, 2012, to pursue Master's Thesis at Technische Universitat Berlin, Germany.
Research Experience
  • - Assistant Professor at the Department of Computer Science, University of Birmingham since September 2022.
  • - Post-doctoral research associate at the Department of Engineering, King's College London, working with Prof. Osvaldo Simeone from October 2019 to September 2022.
Education
  • - Ph.D. in Systems and Control Engineering from Indian Institute of Technology Bombay, August 2018, under the guidance of Prof. Ankur A. Kulkarni.
  • - Master's degree in Systems and Control Engineering from Indian Institute of Technology Roorkee, 2013. Completed Master's thesis at Fachgebiet Regelungssysteme group of TU Berlin, guided by Prof. Joerg Raisch.
  • - Bachelor's degree in Electrical and Electronics Engineering from University of Kerala, India, 2007.
Background
  • Research interests include quantum (and classical) machine learning, information theory, statistical learning theory, optimization, and game theory.
Miscellany
  • Currently hiring fully funded Ph.D. scholarships for UK home students (citizens or with settled status in the UK) to work on exciting projects in Quantum Machine Learning.