Research Interest Areas

  • theoretical quantum physics and computing: quantum algorithms, temporal correlations, non-locality;
  • soft computing: neural networks, fuzzy systems, quantum-inspired soft systems;
  • science communication, education, and outreach



  • PhD in Theoretical Quantum Physics: “Elements of Non-classicality in Multi-level Systems”
    • 2018 – Indian Institute of Technology, Delhi & Dayalbagh Educational Institute, Agra
  • MPhil. in Computer Science: “Soft and Quantum-inspired Hybrid Models for Function Approximation and Pattern Classification” 
    • 2009 – Dayalbagh Educational Institute, Agra
  • MSc. in Computer Science: “A Study of Fuzzy-Rough Attribute Reduction and Quantum Fuzzy-Neural Networks”
    • 2008 – Dayalbagh Educational Institute, Agra


  • R. P. Sandhir. “State-independent Quantum Key Distribution with Two-way Classical Communication.” Quantum Information and Computation, 2019, vol. 19, no. 15 & 16, doi:0.26421/QIC19.15-16 .

  • R. P. Sandhir, and V. Ravishankar. “Weak classicality in coupled N-level quantum systems.” The European Physical Journal D , 2019, vol.73, 119. doi:10.1140/epjd/e2019-100007-4 .

  • R. P. Sandhir, S. Adhikary, and V. Ravishankar. “CGLMP and Bell-CHSH formulations of non-locality: a comparative study.” Quantum Information Processing, 2017, vol.16, no.10, 263. doi:10.1007/s11128- 017-1712-x.
  • R. P. Sandhir, S. Muhuri, and T. K. Nayak. “Dynamic fuzzy c-means (dFCM) clustering and its application to calorimetric data reconstruction in high-energy physics.” Nuclear Instruments and Methods in Physics Research Section A, 2012, vol.681, 34. doi:10.1016/j.nima.2012.04.023


  • R. P. Sandhir.“Does CGLMP generalize Bell-CHSH in higher dimensions?” Young Quantum – 2017, Allahabad, India, 27 February – 01 March, 2017.
  • R. P. Sandhir and V. Ravishankar.“Non-locality in Coupled N-level Systems.” International School and Conference on Quantum Information, Bhubaneswar, India, 9-18 February, 2016.
  • R. P. Sandhir, S. Muhuri, and T. K. Nayak.“Fuzzy Clustering for High Energy Physics Data.” 6th International Conference on Physics and Astrophysics of Quark Gluon Plasma (ICPAQGP 2010), Goa, India, 5-10 December, 2010.
  • R. P. Sandhir, S. Muhuri, and T. K. Nayak. “A Fuzzy Clustering Technique for Calorimetric Data Reconstruction.” Proc. DAE Symposium on Nuclear Physics, Pilani, India, 20-24 December, 2010.
  • R. P. Sandhir and S. Kumar. “Dynamic Fuzzy c-Means (dFCM) Clustering for Continuously Varying Data Environments.” Proc. IEEE International Conference on Fuzzy Systems, Barcelona, Spain, 18-23 July, 2010.
  • R. P. Sandhir and S. Kumar. “Fuzzy-Rough Entropy Based Support Vector Machine Design Using an Evolutionary Algorithm.” Proc. Joint International Conference on Applied Systems Research and the XXXIII National Systems Conference, Systems Society of India, Agra, India, 27-29 November, 2009.
  • R. P. Sandhir, S. Kumar, and L. Singh. “Evolutionary Support Vector Machine Classifier Design with Automatic Feature Selection using Fuzzy-Rough Entropy.” IEEE Congress on Evolutionary Computation, Norway, 18-21 May, 2009.
  • R. P. Sandhir, S. Kumar, and L. Singh. “A Parallel Implementation of Fuzzy-Rough Attribute Reduction Algorithm.” Proc. National Systems Conference, Systems Society of India, Roorkee, 17-19 December, 2008.
  • R. P. Sandhir. “On the Effect of Set Density, Parameters and Operators on Reduct Identification Using Fuzzy-Rough Sets.” Proc. Paritantra, SSI Students’ Conference, Agra, 30 March, 2008.