Dr. Amandeep Singh Bhatia
Assistant Professor

amandeep.9807@chitkara.edu.in

Expert Areas : Quantum computation, Tensor network theory, Post-quantum cryptography, Computational theory

Amandeep Singh Bhatia is working as an Assistant Professor in the Department of Chitkara University Research and Innovation Network (CURIN), Chitkara University, Punjab. He had submitted a PhD Thesis in Computer Science department, Thapar University. He has received his M.Tech and B.Tech, majoring in Computer Science & Engineering. He is a visiting researcher in Prof. Zheng group at Southern University of Science & Technology, Shenzhen, China.

His research focuses on quantum computation and information, quantum algorithms, post-quantum cryptography, quantum machine learning, formal languages, theory of computation, and computational complexity.

He is honoured with Young Scientist Award and has received various awards of merit/honours in academics as well.  He has five years of teaching and industrial experience. He has published more than twenty research articles in leading journals and conferences and two book chapters on different aspects of quantum computing.

  • Research
  • Teaching
  • Awards
  • Education
  • Service

PUBLICATIONS:

  1. M. A. Ghorbani, F. Salmasi, M. K. Saggi, A. S. Bhatia, E. Kahya, R. Norouzi, Deep Learning under H2O framework: A novel approach for quantitative analysis of discharge coefficient in sluice gates, Journal of Hydroinformatics, (Accepted) 2020, [I.F-1.68].
  2. A. Elbeltagi, M. R. Aslam, A. Malik, B. Mehdinejadiani, A. Srivastava, A.S. Bhatia, J. Denga, The impact of climate changes on the water footprint of wheat and maize production in the Nile Delta, Egypt, Science of the Total Environment, 743, 2020. [I.F-5.9].
  3. A. S. Bhatia, M. K. Saggi, A. Kumar, S. Jain, Matrix product state based quantum classifier, IEEE- Neural Computation, 7(31), 2019. [I.F-1.671].
  4. A. S. Bhatia and A. Kumar, On the relation between linear temporal logic and quantum finite automata, Journal of Logic, Language & Information, 2019. [I.F-0.56].
  5. A. S. Bhatia and A. Kumar, On the power of two-way multihead quantum finite automata, RAIRO-Theoretical Informatics and Applications, Vol. 23, 1-2, 2019. [I.F-0.365].
  6. A. S. Bhatia and A. Kumar, Quantum omega-automata over Infinite Words and their Relationships, International Journal of Theoretical Physics, 1-12, 2019 [I.F-0.968].
  7. A. S. Bhatia and A. Kumar, Modeling of RNA secondary structures using two-way quantum finite automata, Chaos, Solitons & Fractals, 116, 332-339, 2018. [I.F-2.213].
  8. A. S. Bhatia and A. Kumar, Neurocomputing approach to matrix product state using quantum dynamics, Quantum Information Processing, Springer, 17(10), 2018. [I.F-2.283].
  9. A. S. Bhatia and A. Kumar, Quantifying matrix product state, Quantum Information Processing, Springer, 17(3), 2018. [I.F-2.283].

 

BOOK CHAPTER PUBLISHED:

  1. A. S. Bhatia, M. K. Saggi, A. Sundas, J. Ashta, Reinforcement Learning, In: Machine Learning and Big Data: Concepts, Algorithms, Tools and Applications, John Wiley & Sons, 2020.
  2. A. S. Bhatiaand S. Zheng, Post-Quantum Cryptography and Quantum Cloning, In: Quantum Cryptography and the Future of Cyber Security, IGI Global, 2020.
  3. A. S. Bhatiaand A. Kumar, Post Quantum Cryptography, In: Emerging Security Algorithms and Techniques, CRC Press (Taylor & Francis), First edition, 2019.eBook: 978-0-359-95358-5.

 

PREPRINT PAPERS:

  1. A. S. Bhatia and S. Zheng, A quantum finite automata approach to modeling the chemical reactions. arXiv preprint: 2007.03976, 2020.
  2. A. S. Bhatia and S. Zheng, RNA-2QCFA: Evolving two-way quantum finite automata with classical states for RNA secondary structures. arXiv preprint: 2007.06273, 2020.
  3. A. S. Bhatia and A. Kumar, Quantum finite automata: survey, status and research directions, arXiv:1901.07992v1, 2019.
  4. A. S. Bhatia and A. Kumar, On the power of quantum queue automata in real-time, arXiv:1810.12095v1, 2018.
  5. A. S. Bhatia and A. Kumar, McEliece cryptosystem based on extended Golay code, arXiv: 1811.06246, 2018.
  6. A. S. Bhatia and M. K. Saggi, Simulation of matrix product states on a quantum computer, arXiv: 1811.09833v1, 2018.
  7. K. K. Sharma and A. S. Bhatia, Two Qubits Permutation Symmetry: Simple Proofs, DOI: 10.5281/zenodo.2104363, 2018.

 

CONFERENCES:

  1. A. S. Bhatia and S. Zheng, A quantum finite automata approach to modeling the chemical reactions, In: 23rd annual conference on Quantum information processing (QIP), Shenzhen, China, 2020.
  2. A. S. Bhatia, M. K. Saggi, S. Zheng, Reconstructing matrix product states with quantum autoencoder, In: 23rd annual conference on Quantum information processing (QIP), Shenzhen, China, 2020.
  3. A. S. Bhatia, M. K. Saggi, S. Jain, Tensor train quantum classifier, In: Quantum techniques in machine learning (QTML), Korea Advanced Institute of Science \& Technology (KAIST), South Korea, 2019.
  4. A. S. Bhatia, M. K. Saggi, S. Zheng, HQPSO: A Hybrid Quantum-behaved Particle Swarm Optimization Algorithm with Cauchy Distribution and Natural Selection Method for Engineering Design Problems, In: Quantum techniques in machine learning (QTML), Korea Advanced Institute of Science \& Technology (KAIST), South Korea, 2019.
  5. A. S. Bhatia, M. K. Saggi, A. Kumar, S. Jain, Matrix product state based quantum classifier, In: 19th Asian Quantum Information Science Conference (AQIS), Korea Institute for Advanced Study, Seoul Korea, 2019.
  6. A. S. Bhatia, Towards quantum computing with matrix product states, In: Young Scientist Forum, Peng Cheng Laboratory (PCL), Shenzhen, China. [Apr 3, 2019].
  7. A. S. Bhatia, Attended Turing 100 International Conference on Computing Sciences, Lovely Professional University, Phagwara, India, 2012.

FIELD OF SPECIALISATION:

Quantum computation, quantum algorithms, tensor network theory, post-quantum cryptography, theory of computation.

AWARDS:

  1. Awarded Junior Research Fellowship (JRF) Under Maulana Azad National Fellowship (MANF) by Ministry of Minority Affairs, Government of India.
  2. Secured First position in B.TechFirst semester of university examinations.
  3. Secured First position in B.Tech second semester of university examinations.

PhD (Computer Science & Engineering), Thapar University, 2020.
M.Tech (Computer Science & Engineering), Lovely Professional University, 2013.
B.Tech (Computer Science & Engineering), DAV Institute of Engg& Technology, 2010.

INDUSTRY
Jan- Aug, 2020, Software Trainee, CDAC, Mohali, Project: Punjab police MIS.

 

TEACHING
Jan 2019-, Assistant Professor- Research, Chitkara University, Rajpura, Punjab

2016-2017, Teaching Associate, Thapar Institute of Engineering & Technology, Patiala

2014-2015, Assistant Professor, Maharaja Agrasen University, Baddi

2013-2014, Assistant Professor, I.E.C University, Baddi