The 2025 IEEE Life Members Evolution Conference invites submissions of original research papers, reviews, and case studies from IEEE members and other professionals for its Technical Program. The conference technical program will promote collaboration and share advancements in technology products, services, and processes developed for or directed at an aging population.<\/p>\n
Topics of Interest for Submissions:<\/strong><\/p>\n Abstract:<\/strong> Cardiovascular-disease is a leading cause of global-mortality, highlighting the need for accurate diagnostic-methods. This study benchmarks centralized and federated learning (FL) algorithms for heart-disease binary-classification using the UCI dataset, which includes 920 patient records from four hospitals in USA, Hungary, Switzerland. Our benchmark is supported by Shapley-value as well as Local Interpretable Model-agnostic Explanations (LIME) interpretability analyses to quantify feature importance for classification. In the centralized setup, various classification algorithms are trained on pooled data, with the Naive-Bayes classifier achieving the highest test -accuracy of 81.1%. Further, FL algorithms with four clients (hospitals) and various aggregation-mechanisms are explored, leveraging the dataset’s natural partition to enhance privacy without compromising accuracy. Federating logistic regression achieves a top test-accuracy of 78.2%. Our interpretability analysis aligns with existing medical knowledge of heart disease indicators. Overall, this study establishes a benchmark for efficient and interpretable prescreening tools of heart disease while maintaining patients’ privacy.<\/p>\n Author(s):<\/strong> Mario Padilla Rodriguez, Eylara Oladipo, Mohamed Nafea<\/p>\n<\/div><\/div><\/div> Abstract:<\/strong> The aging population presents critical challenges to global healthcare systems, demanding innovative solutions to enhance personalized care, accessibility, and efficiency. This paper explores the application of generative AI in elderly healthcare, focusing on technical advancements, integration with emerging technologies, and adherence to ethical standards. Key contributions include a novel framework for integrating generative AI with Internet of Things (IoT) devices for real-time health monitoring and secure data sharing via blockchain. Quantitative simulations demonstrate reduced medication errors by 25% and improved patient adherence rates by 35%. This research aligns with IEEE\u2019s ethics guidelines and advances scalable solutions for diverse healthcare settings.<\/p>\n Author(s):<\/strong> Sky Eno<\/p>\n<\/div><\/div><\/div> Abstract:<\/strong> Digital banking has revolutionized the mode of banking in the past decade by bringing banking at people\u2019s fingertips. However, this also has brought in significant threat of financial exploitation particularly impacting the senior people who are more vulnerable than their younger counterparts due to factors such as cognitive decline due to age, unfamiliarity with social engineering attacks etc. This paper proposes a dual technique to protect senior population from financial exploitation leveraging artificial intelligence as the backbone \u2013 an AI-driven education and awareness model and an AI-powered financial assistant to prevent fraud. The financial assistant uses voice-based alerting system for enhanced digital banking protection of seniors. The education and awareness model provides adaptive education to the seniors by various simulations, thus reducing the possibility of getting compromised in real situations. This dual strategy ensures seniors can confidently and safely use digital banking platforms, striking a balance between security and accessibility.<\/p>\n Author(s):<\/strong> Dipankar Saha, Bhushan Chavan<\/p>\n<\/div><\/div><\/div> Abstract:<\/strong> Globally, societies are growing older, with the population aged above 60 years growing at a faster rate. This implies an urgent need for a transformative outlook on accommodating the needs of the ageing population. Though emerging digital technologies including Artificial intelligence have the scope for designing systems and services for the older age group, there are many issues in intertwining technology with the ageing in these systems. Present study proposes a framework for implementing co-conceptual model of digital products and services for older persons with the involvement of the aged community. The proposed framework will be beneficial to all those interested in the old-age community, including technocrats, scientists, sociologists, and academicians working in this area.<\/p>\n Author(s):<\/strong> Gullapuram Mani<\/p>\n<\/div><\/div><\/div> Abstract:<\/strong> My involvement in green technology started 50 years ago. While waiting hours to fill my gas tank, I realized we had to toil against oil dependence. In 1979, I installed green solar hot-water heaters on my roof. In 1988, NASA climate scientist Dr James Hansen testified to Congress that increasing carbon dioxide emissions from burning fossil fuels are warming our planet via the greenhouse effect. This increased my resolve to toil so I wouldn\u2019t boil!\u00a0 Solar photoelectric panels, prohibitively expensive in 1979, have become the most economical way to generate green electricity together with wind. Emerging 24\/7 technologies include green Hydrogen, deep geothermal, small modular fission reactors, and nuclear fusion.\u00a0 Our Earth is at risk. Energy economics impact ecology. Burning natural gas is more economical and produces less carbon dioxide than coal.<\/p>\n Author(s):<\/strong> Paul Carr<\/p>\n<\/div><\/div><\/div><\/div><\/div> Topics will be prioritized to match and should align with the conference goals and the audience demographic. Authors should submit a digest of a maximum of 5 pages, including references, in single-column format for peer review by the technical program committee.<\/p>\n Authors with accepted digests will be invited to present their work at the conference. These authors should submit a complete paper of a maximum length of 8 pages in IEEE Conference Paper format (double-column, etc.). Author submissions, both written submissions and verbal presentations, must meet the IEEE Life Members Conference and IEEE submission policies. Submission and Peer Review Policies – IEEE Author Center Journals<\/a>. Authors who have completed their presentation requirements will have their papers submitted to IEEE Xplore<\/em> for publication.<\/p>\n<\/div><\/div><\/div> Authors of an accepted digest are required to prepare a full-length 7-page (preferred) to 8-page maximum, manuscript in the\u00a0IEEE two-column format<\/a>. Manuscript files must be in unsecured PDF file format with all fonts embedded.\u00a0Paper size is to be US letter (8.5 inches \u00d7 11 inches) and not international A4 size.To ensure your paper is IEEE Xplore compliant, please use IEEE PDF eXpress (insert link to PDF here).<\/p>\n All presenting authors are required to register no later than March 31 in order to participate and attend the conference. Failure to pre-register may result in forfeiting your time in the program and removal of your work from the schedule and proceedings. Papers not presented in person will not be submitted to the IEEE Xplore digital library.<\/p>\n Please upload your final manuscript here<\/a>\u00a0and complete the required IEEE copyright form no later than Sunday, April 21, 2025<\/strong>.<\/p>\n<\/div> AgeTech Workshop:<\/strong> Conference Dates:<\/strong> Early Bird Registration:<\/strong> Standard Registration:<\/strong> Paper Submission Deadline:<\/strong> Notification of Acceptance:<\/strong> Publication-Ready Submission:<\/strong> Details for paper submissions will be provided on the conference website when available.<\/p>\n<\/div>\n
Accepted Papers<\/h2><\/span>
Centralized and Federated Heart Disease Classification using UCI Dataset: A Benchmark with Interpretability Analysis<\/h3>\n
Generative AI for Healthcare: Enhancing Elderly Care Through Technical Innovation and Ethical Implementation<\/h3>\n
Securing Digital Banking for Seniors – Preventing Elder Financial Exploitation using AI<\/h3>\n
A framework for implementing co-conceptual model of products and services for the aged community<\/h3>\n
Green Technology: A 50-Year Evolution<\/h3>\n
Submission Guidelines<\/h2><\/span>
PDF eXpress Instructions<\/h2><\/span>
Important Dates<\/h2><\/span>
\nJune 9-10, 2025<\/p>\n<\/div><\/li>
\nJune 11-13, 2025<\/p>\n<\/div><\/li>
\nUntil May 1, 2025<\/p>\n<\/div><\/li>
\nUntil June 10, 2025<\/p>\n<\/div><\/li>
\nFebruary 3, 2025<\/p>\n<\/div><\/li>
\nMarch 10, 2025<\/p>\n<\/div><\/li>
\nApril 21, 2025<\/p>\n<\/div><\/li><\/ul>\n