Soft Computing (SC) methodologies include Neural Networks, Fuzzy Logic, Evolutionary Algorithms, and Chaos Theory, etc. Each of these methodologies has advantages and disadvantages. Despite this, many problems have been solved using these methodologies. However, many real-world complex and industrial problems require the integration of several of these techniques to achieve the efficiency and accuracy needed in practice. This session will include papers dealing with methods integrating different SC methodologies for solving real-world problems. The Special Session will consider hybrid machine learning algorithms and their applications in the following areas: Disease Diagnosis, Non-linear data Classification, Pattern Recognition, Image Recognition, etc. Hybrid machine learning algorithms offer advantages when a prudent combination of methods is performed, and in this case, can be a powerful tool in solving complex problems and real-life applications.
This special session aims to promote research on hybrid machine learning algorithms all over the world and provides innovative approaches for solving real-life problems. The scope of this special session covers the following topics but not limited to these topics:
Potential authors may submit their manuscripts for presentation consideration through ICETCI 2021 submission system electronically at https://cmswebonline.com/icetci2021, following the conference guidelines. All submissions will go through peer review process. To submit your paper to this special session, you have to choose our special session title on the submission page.
|Last Date for Paper Submission:||
28 February 2021
|Final Notification of Review Outcomes:||15 May 2021|
|Submission of Camera-Ready Paper and Early-Bird Registration Deadline:||31 May 2021|
Dr. Om Prakash Patel, Assistant Professor, Department of Computer Science and Engineering,
École Centrale School of Engineering, Mahindra University, Hyderabad, Telangana, India.
Dr. Om Prakash Patel is currently working as an Assistant Professor in the Department of Computer Science & Engineering, Ecole Centrale School of Engineering at Mahindra University, 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. Neha Bharill, Assistant Professor, Department of Computer Science and Engineering,
École Centrale School of Engineering, Mahindra University Hyderabad, Telangana, India.
Dr. Neha Bharill is currently working as an Assistant Professor in the Discipline of Computer Science & Engineering, Ecole Centrale School of Engineering at Mahindra University, Hyderabad. She completed Ph.D. in computer science and engineering from the Indian Institute of Technology Indore, India, in 2018. Her current research interests include fuzzy sets and systems, Big Data, pattern recognition, data mining, machine learning, scalable machine learning approaches for Genome Identification and Next Generation Sequence Analysis. She is the member of Soft Computing research Society. She has published over 11 referred journals and 15 conference papers of international repute. She is the reviewer of the IEEE Transactions on Cybernetics, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Big Data, Swarm and Evolutionary Computation of Elsevier and the Complex & Intelligent Systems of Springer and many more. He is also working on some research projects in the collaboration with the IIT Indore, Indian Institute of Soybean Research Indore, and C-DAC Pune.
Dr. K.V. Sambasiva Rao, Professor and Dean, Department of Computer Science and Engineering,
NRI Institute of Technology, Pothavarappadu, Andhra Pradesh.
Dr. K.V. Sambasiva Rao is currently working as Professor in Department of Computer Science and Engineering, NRI Institute of Technology, Pothavarappadu, Andhra Pradesh. He has done his ME from BITS Pilani and Ph.D. from IIT Delhi. He has published many 46 reputed journals and 8 conferences. He has also written three books. He is also dean of research of NRI Institute of Technology. He has won Marqui’s International award in 1998, EMINENT EDUCATIONIST AWARD by Indus Foundation & FAPCCI, Govt. of A.P in 2013, and Academic Excellence Award, by Knowledge society for Research Innovations in 2020.
Dr. Dheeraj Rane, Associate Professor, Department of Computer Science and Engineering,
Medi-Caps University, Indore, India.
Dr. Dheeraj Rane is currently working as Associate Professor in Department of Computer Science and Engineering, Medi-Caps University, Indore (India). He has done Ph.D. in Computer Science and Engineering from Indian Institute of Technology Indore, India. His Ph.D. work lies in Cloud Computing specializing in the domain of structuring and automating Service Level Agreements. His current research interests include cloud computing economics, and machine learning. He has published papers in various journal including SCI Indexed Journals and IEEE society International conferences. He is the reviewer of the Springer Cloud Computing, MDPI journals and many more. He is also working on some research projects in the collaboration with the IIT Indore, Coastal Carolina University USA, and NITIE Mumbai.