The 14th International Conference on Electronics, Communications and Networks (CECNet 2024)

Abstract: Technologies based on Artificial Intelligence and Machine Learning are having great role for de-cision support system of health care program in terms of efficacy and robustness. AI based tech-niques are quite capable of handling huge data for processing and analysis which brings speedy response to the endusers. Enormous volume of medical data acquired from various observations and technical processes needs AI and ML based technology to determine appropriate diagnostic procedure. In present day research medical data in macro, micro and nano or molecular levels are required to be processed and analyzed for interpretation of disease identification, prognosis and tendency of growth of any abnormal lesion. Various technical studies based on clinical symptoms and features lead to develop prediction model for therapeutic planning and drug delivery. In all these aspects accuracy in establishing correlation and coordination of features with medical ob-servation is a challenging task. The knowledge of information technology and computer engineer-ing are now taking care of these issues for a robust technical view to automate the diagnostic methods, analysis of immunology and treatment processes. Such techniques are successfully us-ing modern day AI and machine learning for an assistance to the conventional procedures of treatment planning. Present talk is aiming to address how a computer aided system may be de-signed based on AI and ML for an advanced diagnostic planning and treatment procedure.

Biography: Mahua Bhattacharya is a full of Professor at Atal Bihari Vajpayee Indian Institute of Information Technology and Management, (MHRD, Govt. of India ) Gwalior,Madhya Pradesh India. Prof. Bhattacharya has received B.Tech and M.Tech degree from University of Calcutta , Institute of Radio Physics and Electronics. She received Ph D (Tech.) degree from University of Calcutta pursuing research work in collaboration with Indian Statistical Institute, Calcutta. Her research area is related to Medical Image Processing, Bioinformatics, Cell image analysis, Digital Farming , IOT and Wireless Sensor Network. Prof. Bhattacharya is an Expert Team member of various National and International Academic Forums and Evaluation Committee. She isworking as Principal Investigator of various Government of India-sponsored projects from Dept. of Science and Technology , Dept. of Telecomm, Dept. of Electronics and Information Technology in the area of Biomedical Image Analysis in macro and micro levels for
diagnostics and therapeutic planning, Smart Agriculture. Prof. Bhattacharya is associated in National Digital Farming project at Indian Institute of Technology, Kharagpur. Prof. Bhattacharya has visited abroad with different academic assignments. Prof. Bhattacharya is serving various Flagship IEEE International conferences as Program Chair, Program committee members , Workshop Organizer, Invited and Keynote Speaker in India and abroad. She is reviewer of various reputed international journals of IEEE EMBC, Elsevier and Springer, Taylor and Francis etc. She was member of Editorial Board of International Journal of Neural Computing and Applications, Springer from 2016 to 2018. She has served as President of International Neural Network Society, Indian Chapter . Prof. Bhattacharya has authored more than 180 papers in International journals, conference proceedings, reports and book chapters.