Call for papers

Special Session on Evolutionary Quantum Computing Algorithms

IEEE World Congress on Computational Intelligence WCCI 2020 , Glasgow, Scotland (UK),

July 19 - 24, 2020





Aims:

Quantum computing is the area of study focused on developing computer technology based on the principles of quantum theory, which explains the nature and behavior of energy and matter on the quantum (atomic and subatomic) level. Development of a quantum computer, if practical, would mark a leap forward in computing capability far greater than that from the abacus to a modern-day supercomputer. Along with research on an actual quantum computer, the quantum computing concepts have been utilized to make quantum-inspired evolutionary algorithms which work in classical computers. Evolutionary Computing (EC) has been on several occasions directly linked to quantum computing such as quantum evolutionary computation or evolutionary design for quantum computer design, etc. Because quantum computing evolves in the very large Complex Hilbert space, evolutionary methods are a prime tool for the exploration and exploitation of quantum properties. These algorithms help to improve the performance of existing computing models and algorithms to perform better by using the quantum computing concepts.


Scope and Topics:

The aim of this special session on evolutionary quantum computing is to provide a platform for researchers and scientists to discuss the latest advances in this field. Researchers and scientist are invited to submit original and unpublished research that include theoretical and experimental results of advances scalable machine learning techniques in the following and other related areas. The scope of this special session covers among others but not limited to the following topics:

  • Quantum evolutionary algorithms
  • Classical evolutionary algorithms for the design of quantum computers
  • Evolutionary quantum-inspired deep neural network learning algorithm
  • Quantum mechanics inspired evolutionary algorithms
  • Evolutionary quantum-inspired machine learning algorithms
  • Evolutionary design of quantum algorithms

Submission Guidelines:

This special session will be held in the 2020 IEEE Congress on Evolutionary Computation (https://wcci2020.org/cec-sessions/), a part of the 2020 IEEE World Congress on Computational Intelligence (https://wcci2020.org/ ) (Glasgow, Scotland, United Kingdom, July 19-24, 2020). All papers should be prepared according to the CEC 2020 policy. Please check the conference webpage. To submit your paper to this special session, you have to choose our special session on the submission page.



Important Dates:

Paper Submission Deadline: January 15, 2020

Paper Acceptance Notification Date: March 15, 2020

Final Paper Submission and Early Registration Deadline: April 15, 2020

Conference: July 19-24, 2020


Special Session Organizers:

Dr. Om Prakash Patel

Assistant Professor, Department of Computer Science and Engineering,

School of Engineering Sciences, Mahindra Ecole Centrale, College of Engineering, Hyderabad-500043, Telangana,India

Email: omprakash.patel@mechyd.ac.in

Dr. Aruna Tiwari

Associate Professor, Department of Computer Science and Engineering,

Indian Institute of Technology Indore, India

Email: artiwari@iiti.ac.in

Mr. Amit Saxena

Joint Director. HPC-Medical & Bioinformatics Applications,

Centre for Development of Advanced Computing (C-DAC), Pune, India

Email: amits@cdac.in

Dr. Prashant Gupta

Assistant Professor, Department of Computer Science and Engineering,

Amity School of Engineering and Technology, Amity University, Noida, India

Email: guptaprashant1986@gmail.com

Biography:

Dr. Om Prakash Patel is currently working as an Assistant Professor in the Department of Computer Science & Engineering, School of Engineering Science at Mahindra Ecole Centrale Hyderabad. He has done Ph.D. in computer science and engineering from the Indian Institute of Technology Indore, India, in 2018. His current research interests include quantum computing inspired neural network learning algorithms, pattern recognition, hybrid neural network, and deep learning. He has published various journal papers including IEEE Transactions, SCI Indexed Journals of International ranked conferences. He has also received two best paper awards. He is the reviewer of the neural processing letters, soft computing Springer, IEEE SSCI, Inderscience journals and many more. He is also working on some research projects in the collaboration with the University of Technology Sydney, IIT Indore, CSIR-CEERI Pilani, and C-DAC Pune.

Dr. Aruna Tiwari is currently working as an Associate Professor in the Discipline of Computer Science & Engineering in Indian Institute of Technology Indore since 2012. Her research interests mainly are soft computing, machine learning, specifically with artificial neural networks, fuzzy clustering, evolutionary computation and their applications to bioinformatics, medical diagnosis. She also works in the area of scalable soft computing algorithm for big data and Hardware realization of Soft computing models. Currently she is working with CSIR-Central Electronics Engineering Research Institute, Pilani for the problems related to hardware realization of Soft computing models. She is member of various research societies like Computer Society of India, IEEE Computational Intelligence Society, Soft Computing Research Society. She has published over 10 referred journals and 21 conference papers of international repute which are IIT Indore affiliated. Dr. Aruna Tiwari is currently the Principal Investigator of a major research project funded by Council of Scientific & Industrial Research (CSIR).

Amit Saxena is associated with the HPC-Medical and Bioinformatics Applications Group of Centre for Development of Advanced Computing (C-DAC) Pune, India for more than ten years. He was actively involved in the development of Bioinformatics related Grid and Cloud Computing tools under the Garuda Grid and Bioinformatics Resources & Applications Facility (BRAF) projects of Indian Government. He was involved in developing Protein Structure prediction tools using Indo-US Cancer Research Grid (IUCRG)- an initiative of NCI, C-DAC, University of Chicago and Indiana University to help Cancer researchers. He worked with early Cloud Computing initiatives like PAN C-DAC Cloud network and is currently working towards a Global Biomedical Collaborative Cloud as a part of ICT BioMed consortium. The partners in ICT BioMed are PSNC Poland, Notre Dame University USA, Chalmers University Sweden and C-DAC India with support of OHSL USA, Internet2 and NKN. He is working as the Expert Member (Secretary) of Predictive and Personalized Medicine subgroup under Application Development Program of National Supercomputing Mission (NSM) project. He is also working as the member of Task Force for Big Data in Life Sciences appointed by Principal Scientific Advisor Govt. of India. He is member of Microprocessor and Quantum Computing Research and development Planning (RAMP) Committee and working in the Quantum Computing mission of C-DAC.

Dr. Prashant K Gupta is currently working as Assistant Professor in the Discipline of Computer Science & Engineering in Amity School of Engineering and Technology, Amity University, Noida, India. His research interests include fuzzy logic, computing with words, linguistic optimization, E-Health, and Machine learning. He is a member of IEEE and IEEE SMC. He has published articles in various journals such as IEEE Transactions on Fuzzy Systems, Fuzzy Sets and Systems, Applied Soft Computing, and Granular Computing. He has also published articles in core A ranked conferences such as Fuzz- IEEE and IEEE SMC. He is a reviewer in Journal of Applied Soft Computing.