Cognitive Big Data Intelligence with a Metaheuristic Approach

Dr. Sushruta Mishra is working as an Assistant Professor in the School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India. He pursued his M.Tech from IIIT, Bhubaneswar in 2012 and has completed his Ph.D in Computer Science from KIIT University, Bhubaneswar, Odisha, India in 2017. Dr. Mishra has more than 7 years of teaching experience in various educational institutions. He has handled many subjects such as Computer networks, Data mining, Software engineering, Machine learning etc during his academic experience. His research interest includes Image processing, Machine Learning, Internet of Things and Cognitive computing. He has published several research articles in reputed scopus indexed International Journals, Edited books and Conferences. Dr. Hrudaya Kumar Tripathy is presently working as Associate Professor in School of Computer Engineering at KIIT University, Bhubaneswar, Odisha, India and Program Head of M.Tech(CSE) courses. He has received M.Tech degree in CSE from IIT Guwahati in 2006, and obtained Ph.D degree in Computer Science from Berhampur University, Berhampur, Odisha, India in Computer Science in 2010. Dr. Tripathy had been a visiting faculty in Asia Pacific University, Kuala Lumpur, Malaysia and University Utara Malaysia, Sintok, Malaysia. He is having 20 years of teaching experience with Post Doctorate from Malaysia. He has handled various subjects like Software engineering, Machine learning, Business intelligence etc. His research interest includes Neural Networks, Pattern Recognition, Software Engineering, Machine learning and Big Data. He has published several research papers in various journals and conferences. Besides, academic experience he had been actively involved in various administrative responsibilities in his previous job positions. Dr. Tripathy is a senior member of IEEE, life member of CSI & having membership in other different professional bodies such as IET, IACSIT, IAENG.Dr. Hrudaya Kumar Tripathy is presently working as Associate Professor in School of Computer Engineering at KIIT University, Bhubaneswar, Odisha, India and Program Head of M.Tech(CSE) courses. He has received M.Tech degree in CSE from IIT Guwahati in 2006, and obtained Ph.D degree in Computer Science from Berhampur University, Berhampur, Odisha, India in Computer Science in 2010. Dr. Tripathy had been a visiting faculty in Asia Pacific University, Kuala Lumpur, Malaysia and University Utara Malaysia, Sintok, Malaysia. He is having 20 years of teaching experience with Post Doctorate from Malaysia. He has handled various subjects like Software engineering, Machine learning, Business intelligence etc. His research interest includes Neural Networks, Pattern Recognition, Software Engineering, Machine learning and Big Data. He has published several research papers in various journals and conferences. Besides, academic experience he had been actively involved in various administrative responsibilities in his previous job positions. Dr. Tripathy is a senior member of IEEE, life member of CSI & having membership in other different professional bodies such as IET, IACSIT, IAENG. Dr. Pradeep Kumar Mallick is currently working as Senior Associate Professor in the School of Computer Engineering , Kalinga Institute of Industrial technology (KIIT) Deemed to be University, Odisha, India .He has also served as Professor and Head Department of Computer Science and Engineering , Vignana Bharathi Institute of Technology, Hyderabad . He has completed his Post Doctoral Fellow (PDF) in Kongju National University South Korea , PhD from Siksha Ó’ Anusandhan University, M. Tech. (CSE) from Biju Patnaik University of Technology (BPUT), and MCA from Fakir Mohan University Balasore, India. Besides academics, he is also involved various administrative activities, Member of Board of Studies, Member of Doctoral Research Evaluation Committee, Admission Committee etc. His area of research includes Algorithm Design and Analysis, and Data Mining, Image Processing, Soft Computing, and Machine Learning. Now he is the editorial member of Korean Convergence Society for SMB .He has published 9 books and more than 70 research papers in National and international journals and conference proceedings in his credit Prof. Arun Kumar Sangaiah received his PhD from the School of Computer Science and Engineering, VIT University, Vellore, India. He is currently a Full Professor with National Yunlin University of Science and Technology, Taiwan. He is also a Professor at the School of Computing Science and Engineering, VIT University, Vellore, India. His areas of research interest include machine learning, Internet of Things, Sustainable Computing. He has published more than 300 research articles in refereed journals, 11 edited books, one patent (held and filed), as well as four projects funded by MOST-TAIWAN, one funded by Ministry of IT of India, and several international projects (CAS, Guangdong Research fund, Australian Research Council). Dr. Sangaiah has received many awards, Yushan Young Scholar, Clarivate Top 1% Highly Cited Researcher (2021,2022, 2023), Top 2% Scientist (Standord Report-2020,2021,2022, 2023), PIFI-CAS fellowship, Top-10 outstanding researcher, CSI significant Contributor etc. He is also serving as Editor-in-Chief and/or Associate Editor of various reputed ISI journals. Dr. Sangaiah is a visiting scientist (2018-2019) with Chinese Academy of Sciences (CAS), China and visiting researcher of Université Paris-Est (UPEC), France (2019-2020) and etc. Professor Gyoo-Soo Chae works in the Division of ICT at Baekseok University, Cheonan in South Korea.

• A. Foundations and Architectural Models of Cognitive Big Data and Meta heuristics1. Cognitive Computing fundamentals like perception, memory, reasoning, emotion, and problem solving2. Cognitive Computing techniques using artificial intelligence, pattern and speech recognition, and natural language processing3. Cognitive approaches within data mining and machine learning techniques4. Big Data Infrastructure for Cognition and Distributed Data Centers for Cognition5. Meta heuristics in classification, clustering and frequent pattern mining problems6. Nature-inspired computing and Optimization algorithms7. Meta heuristics and swarm intelligence approach8. Use of Computational intelligence and Intelligent computing approaches in engineering domains9. Big Data, Clouds and Internet of Things (IoT)10. Dimensionality reduction models with Meta heuristics11. Neuro-evolutionary and fuzzy models in big data and cognitive analytics12. Innovative methods for cognitive business big data analytics13. Cognitive techniques for mining unstructured, spatial-temporal, streaming and multimedia data14. Data-driven large scale optimization architectures15. Ensemble learning with Meta heuristics optimizationB. Application Domains and use of Cognitive Big data with Meta heuristics16. Applications in Logistics, Transportation and Supply Chain Management17. Cognitive Sensor-Networks applications18. Algorithm development for big data analysis in E-health and Telemedicine19. Biomedical Image Processing and Big Data Applications20. Data Applications of Cognitive Communication21. Intelligent distributed applications in e-commerce22. Applications in Economics and Finance23. Applications in Aeronautics24. Applications in financial analysis25. Applications in Cyber security and Intelligence26. Applications in Traffic Optimization27. Applications in routing of energy efficient communication networks28. Other Miscellaneous applications