
Advancement of Data Processing Methods for Artificial and Computing Intelligence
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Artificial intelligence (AI) is a current research topic because it can be applied to a wide range of applications and disciplines to solve complicated problems and find optimal solutions. In research, medicine, technology, and the social sciences, the benefits of AI have already been proven. Data science, also known as pattern analytics and mining, is a technique for extracting useful and relevant information from databases, enabling better decision-making and strategy formulation in a range of fields. As a result of the exponential growth of data in recent years, the combined notions of big data and AI have given rise to many study areas, such as scale-up behaviour from classical algorithms. Furthermore, combining numerous AI technologies from other areas (such as vision, security, control, and biology) in order to build efficient and durable systems that interact in the real world is a new problem. Despite recent improvements in fundamental AI technologies, the integration of these skills into larger, trustworthy, transparent, and maintainable systems is still in its development. Both conceptually and practically, there are a number of unanswered issues.
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Dr V. Ajantha Devi is working as a Research Head for AP3 Solutions, Chennai, Tamil Nadu, India. She received her Ph.D. from University of Madras in 2015, and has worked as Project Fellow under a UGC Major Research Project. She is a Senior Member of IEEE, and has been certified as "Microsoft Certified Application Developer" (MCAD) and "Microsoft Certified Technical Specialist" (MCTS) by Microsoft Corp. She has more than 40 papers in international journals and conference proceedings to her credit. She has written, co-authored, and edited a number of books in the field of computer science with international and national publishers like Elsevier, Springer, etc. She has been a member of the program committee/technical committee/chair/review board for a variety of international conferences. She has five Australian Patents and one Indian Patent to her credit in the areas of artificial intelligence, image processing and medical imaging. Her work in image processing, signal processing, pattern matching, and natural language processing is based on artificial intelligence, machine learning, and deep learning techniques. She has won many Best paper presentation awards as well as a few research-oriented international awards.
Dr. Praveen Kumar holds a doctorate and a master's degree in computer science and engineering. He is currently employed at Amity University in Tashkent, Uzbekistan as an Associate Professor. He has over 15 years of teaching and research experience, and was acknowledged by the Government of West Bengal, India, as having the best Ph.D. thesis and as a Fellow Member of the Indian Institute of Machine Learning for excellent contributions to artificial intelligence and machine learning. Big data analytics, data mining, and machine learning are some of his areas of interest. He holds 9 patents/copyrights and has published over 100 research papers in international journals and conferences (all of which are Scopus-indexed). In the area of Big Data analytics and data mining, he is guiding 4 Ph.D. Research Scholars. He has given invited talks and guest lectures at Jamia Millia Islamia University, Delhi University's Maharaja Agersen College, Vietnam's Duy Tan University, and ECE Paris, France, among others. He is an active member of IEEE, a lifetime member of IETE, an ACM member, and a member of the IET (UK) and other prestigious technical organizations. He works with corporations and is the Technical Adviser for DeetyaSoft Pvt. Ltd. Noida, MyDigital360, and other companies.
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