Keynote Speech (1)

Image Processing and Artificial Intelligence on real-time applications

Abstract: The idea of image processing and computer vision are the two key elements that are required for developing many fully-scaled AI models. Approximately 75–80% of AI
models are based on these two important factors only. Image processing involves analyzing and modifying digital images, frequently in an effort to raise their quality. Artificial
intelligence (AI) analyses images using machine learning, enhancing the quality of the image based on the algorithm's "experience" or breadth of knowledge. In-depth information on several image processing and computer vision research projects is provided in this plenary talk. It provides examples of machine learning approaches being used in various image processing applications and explains how to select the best one to utilize for the most accurate outcomes for a certain task involving certain constraints. It also provides some real-world examples to illustrate the concepts and methods. The audience will be benefitted from the knowledge shared on the diverse applications of computer vision and image processing along with AI concepts.

Short Biography

Dr. M. Krishnaveni, Speaker

 Dr. M.Krishnaveni is an Assistant Professor (SS) of the Department of Computer Science, Avinashilingam University for Women, Coimbatore. Before teaching, she has 6 years of research experience working as a researcher in the Naval Research Board, Defence Research Development Organisation, Ministry of Defence, India. She was been a consultant for a Military related application project. She has published several papers in her research specialization with an overall count of about 95 both nationally and internationally. She focuses on research and experimental processes with the use of digital technologies such as MATLAB, Computer Science, and Biological computation along with machine intelligence and real-time physical computation. She also acts as a resource person and holds national and internationally funded research projects which come under the University Grants Commission (India) and Department of Science and Technology and DRDO-NPOL. She serves as a Faculty In charge of AI Start-up Programme under the Centre for Machine Learning and Intelligence funded by DST-CURIE-AI facility. She is a recipient of awards such as the Best young teacher award IASTE 2017, Best NSS Programme officer award, and NYLP 2016, Government of India.

Keynote Speech (2)

Role of Artificial Intelligence in Early Cancer Diagnosis

Diagnosing early-stage cancer of any type has become a key priority of the World Health Organisation. In many tumor groups, screening programs have led to improvements in survival, but patient selection and risk stratification are key challenges. Many data types are suitable for computational analysis, including electronic healthcare records, diagnostic images, pathology slides, and peripheral blood. This plenary talk discusses how artificial intelligence algorithms could assist clinicians in the detection of Cervical cancer from (1) Digital medical images (2)  Pap smear images and (3) Blood Smear images. The talk provides an overview of the main artificial intelligence approaches, including historical models such as logistic regression, as well as deep learning and neural networks, and highlights their early diagnosis applications.

SHORT BIOGRAPHY

Dr. P. Subashini

Parthasarathy Subashini received a B.Sc. (Mathematics) degree from Bharathiar University, Tamil Nadu, India in 1990 and M.CA degree from the same in 1993. She also received the qualified degree of M.Phil. and Ph.D. respectively in Computer Science in the years 1998 and 2009 from Avinashilingam University for Women, Tamil Nadu, India. She also obtained M.Sc. (Applied Psychology) from Bharathiar University, Coimbatore in 2022. Since 1994, she is working as a Professor in the Computer Science Department of Avinashilingam University. Professor Subashini’s research has spanned a large number of disciplines including Image analysis, Pattern recognition, Neural networks, and Computational Intelligence. Concurrently, she contributed to several fields of mathematics, especially Nature inspired computing. She has authored or co-authored 8 Books, 7 Book chapters, 1 Monograph, and 165 papers, including IEEE, Springer’s in various international, and national journals and conferences. In course of her research and teaching, Professor Subashini has mentored over a hundred postgraduate students and guided several doctoral students. She has held positions as a reviewer, and chairperson for different peer-reviewed journals. Under her supervision, she has ten research projects of worth more than 5 crores from various funding agencies like the Defence Research and Development Organization, Department of Science and Technology, SERB, and the University Grants Commission. She has visited many countries like Singapore, Malaysia, Dubai, France, Switzerland, Italy, Canada, Germany, Spain, the Czech Republic, Rome, Morocco, the United States of America, and China for various knowledge-sharing events. As a member of IEEE, IEEE Computational Intelligence Society, and IEEE Computer Society of India, she extended her contribution as IEEE Chair for Women in Computing under the IEEE Computer Society of India Council in the year 2015-2016. She has established active international teams with the University of Wyoming, USA, and University HASSAN II Casablanca, Morocco by executing MoU with these 2 Universities. She is the Co-ordinator for ‘Centre for Machine Learning and Intelligence’ funded by the Department of Science and Technology, Govt. of India. She is also an active Research Consultant for a few Institutions. To add up her credit, recently she has contributed a Nature Inspired Optimization algorithm called ‘Synergistic Fibroblast Optimization(SFO)’. The codes and published articles are publicly available for the perusal of the Research Community in MATLAB central, Researchgate, and Adademia.edu. She has also 3 patents to her credit.

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