Explainable AI for Healthcare: Real Life Applications and Use Cases for Practitioners
暫譯: 醫療領域的可解釋人工智慧：實際應用與案例分析

Aman Kataria, PhD, is a Faculty in the domain of Electronics and Communication at the University Centre for Research and Development, Chandigarh University, Gharuan, Mohali, Punjab, India. He worked previously as an Assistant Professor at Amity Institute of Defence Technology, Amity University, Noida, Uttar Pradesh, India. He received the B.Tech. degree in Electronics and Communication engineering from the state government engineering institute, Malout Institute of Management and Information Technology (MIMIT), Malout, in 2010, and the Master's and PhD degrees in Electronics and Instrumentation Control Engineering from the Thapar Institute of Engineering and Technology, Patiala, Punjab, India in 2013 and 2020, respectively. He worked as a Lecturer at the Electronics and Communication Department, National Institute of Technology, Hamirpur. He worked as a Project Associate with the CSIR-Central Scientific Instruments Organization from August 2020 to December 2022. At CSIO, he worked on Texas Instruments DLP5530Q1EVM, in which he had the experience of projecting customized images on the screen of DMD which assisted in the projection of vital information on the screen of Head-up Display (HUD), to be deployed in fighter aircraft of Indian Air force. He has contributed to various research activities while publishing papers in the various SCIE and Scopus-indexed journals and conference proceedings. He has published four international patents also. His research interests include machine learning, artificial intelligence, image processing, cyber-physical systems, the Internet of Things, and soft computing.

Sita Rani, PhD, works in the Department of Computer Science and Engineering at Guru Nanak Dev Engineering College, Ludhiana. She earned her Ph.D. in Computer Science and Engineering from I.K. Gujral Punjab Technical University, Kapurthala, Punjab in 2018. She completed Postdoc from Big Data Mining and Machine Learning Lab, South Ural State University, Russia from May, 2022 to August, 2023. She has also completed Post Graduate Certificate Program in Data Science and Machine Learning from Indian Institute of Technology, Roorkee in 2023.

She has more than 20 years of academic, administration, and research experience. She is an active member of ISTE, IEEE and IAEngg. She has been recognized in the Top 2% Scientists list published by Stanford University for the year 2024. She is the receiver of ISTE Section Best Teacher Award- 2020, and International Young Scientist Award-2021. She has contributed to the various research activities while publishing articles in the renowned SCI and Scopus journals and conference proceedings. She has published several national and international patents and authored, edited and coedited 11 books. Dr. Rani has delivered many expert talks in A.I.C.T.E. sponsored Faculty Development Programs and key note talks in many National and International Conferences. She has also organized many International Conferences during her 20 years of experience. She is the member of Editorial Board and reviewer of many international journals of repute. She has also served as vice-president of SME and MSME (UT Council), Women Indian Chamber of Commerce and Industry (WICCI) Since November, 2021 to February, 2025. Her research interest includes, Data Science, Artificial Intelligence, Machine Learning, Blockchain Technology, Smart Healthcare, and Sustainable Development.

**阿曼·卡塔里亞**（Aman Kataria），博士，現任印度旁遮普邦查迪加爾大學（Chandigarh University）研究與發展中心電子與通信領域的教員。他曾擔任印度北方邦諾伊達阿米提大學（Amity University）國防技術學院的助理教授。他於2010年在馬盧特管理與信息技術學院（Malout Institute of Management and Information Technology, MIMIT）獲得電子與通信工程的學士學位，並於2013年和2020年分別在帕提亞拉的塔帕爾工程與技術學院（Thapar Institute of Engineering and Technology）獲得電子與儀器控制工程的碩士和博士學位。他曾在國立技術學院（National Institute of Technology, Hamirpur）電子與通信系擔任講師。從2020年8月到2022年12月，他在CSIR-中央科學儀器組織（CSIR-Central Scientific Instruments Organization）擔任項目助理。在CSIO，他參與了德州儀器（Texas Instruments）DLP5530Q1EVM的項目，並在該項目中獲得了在DMD屏幕上投影自定義圖像的經驗，這有助於在印度空軍戰鬥機的抬頭顯示器（Head-up Display, HUD）上投影重要信息。他在各種SCIE和Scopus索引的期刊及會議論文中發表了多篇論文，並為多項研究活動做出了貢獻。他還獲得了四項國際專利。他的研究興趣包括機器學習、人工智慧、圖像處理、網絡物理系統、物聯網和軟計算。

**西塔·拉尼**（Sita Rani），博士，現任印度盧迪亞納的古魯納納克德夫工程學院（Guru Nanak Dev Engineering College）計算機科學與工程系的教員。她於2018年在I.K.古賈爾旁遮普技術大學（I.K. Gujral Punjab Technical University）獲得計算機科學與工程的博士學位。她於2022年5月至2023年8月在俄羅斯南烏拉爾國立大學（South Ural State University）的大數據挖掘與機器學習實驗室完成了博士後研究。她還於2023年在印度理工學院（Indian Institute of Technology, Roorkee）完成了數據科學與機器學習的研究生證書課程。

她擁有超過20年的學術、行政和研究經驗。她是ISTE、IEEE和IAEngg的活躍成員。她在2024年被斯坦福大學列入**前2%科學家**名單。她獲得了2020年ISTE區域最佳教師獎和2021年國際青年科學家獎。她在著名的SCI和Scopus期刊及會議論文中發表了多篇文章，並為各種研究活動做出了貢獻。她已發表多項國內和國際專利，並編著、編輯及共同編輯了11本書籍。拉尼博士在A.I.C.T.E.贊助的教師發展計劃中發表了多場專家講座，並在多個國內外會議中擔任主題演講者。她在20年的經驗中還組織了多場國際會議。她是多本國際知名期刊的編輯委員會成員和審稿人。自2021年11月至2025年2月，她還擔任中小企業（SME）和微型中小企業（MSME）（UT理事會）、印度女性商會（WICCI）的副會長。她的研究興趣包括數據科學、人工智慧、機器學習、區塊鏈技術、智慧醫療和可持續發展。