相關主題
商品描述
This book is intended as an incentive for women to start, continue, or expand their STEM work in AI and sustainability, thus speeding up progress in a field critical to the wellbeing of humanity. The book features a rigorously curated collection of scientifically sound, expertly yet accessibly written chapters capturing state-of-the-art research conducted at the forefront of where the AI field intersects with sustainability. The transformative impact of the work conveyed in the book in conjunction with the non-traditional personal and professional backgrounds of the authors are both instructional and motivational, thus catering to a specific set of readership expectations that conventional scientific literature routinely overlooks. Part of the highly successful Women in Science and Engineering book series, this volume highlights the contribution of women leaders in AI and sustainability, inspiring people across the identity and age spectra to enter STEM and work diligently and passionately to develop and fulfil themselves in tandem with securing a bright future for the field.
商品描述(中文翻譯)
本書旨在激勵女性開始、持續或擴展她們在人工智慧（AI）和可持續性（sustainability）領域的 STEM 工作，從而加速這一對人類福祉至關重要的領域的進展。本書精心策劃了一系列科學上可靠、專業但易於理解的章節，捕捉了在人工智慧與可持續性交匯處進行的最前沿研究的最新成果。本書所傳達的工作所帶來的變革性影響，加上作者們非傳統的個人和專業背景，既具啟發性又具激勵性，滿足了傳統科學文獻常常忽視的特定讀者期望。本書是成功的《女性在科學與工程》系列的一部分，突顯了女性領導者在人工智慧和可持續性方面的貢獻，激勵各種身份和年齡層的人們進入 STEM 領域，努力且充滿熱情地發展自我，並為該領域的光明未來而奮鬥。
作者簡介
Dr Alina Patelli holds a PhD in computer science awarded by Aston University in 2017, and one in systems engineering awarded by her Romanian alma mater in 2011. She is currently a senior lecturer in applied Artificial Intelligence at Aston University, having recently completed her tenure as programme director of the undergraduate Digital and Technology Solutions degree apprenticeship, Aston's flagship work-based course. Dr Patelli specialises in evolutionary computation, a type of biologically inspired AI. Her focus is on genetic programming with transfer learning and its applications in smart cities, specifically traffic modelling and prediction. Dr Patelli is also interested in autonomic, knowledge-based systems, and self-adaptation and self-organisation in computing. Her academic expertise is applied in the private sector, as part of knowledge transfer partnerships with industry. In the public arena, Dr Patelli has been publishing her academic outputs at a sustained pace in reputable journals and conference proceedings. She has given several public talks at science events (including the 2024 Royal Society Summer Science Exhibition), has featured in podcasts and interviews on her personal and professional development, her research and her apprenticeship work, has written articles for various scientific news outlets, and has contributed her insight to national science strategy planning and in response to parliamentary calls for evidence related to her field. Dr Patelli is a founding member of the UK Young Academy where she contributes and furthers her expertise in AI, digital industry and the communication of science to complete interdisciplinary work for the public good alongside her peers from academia, industry, the public sector and the other learned societies in the UK. Dr Patelli is the trust and ethics theme lead within the Aston Centre for AI Research and Application, where she also holds the role of industry and impact lead.
Anikó Ekárt is Professor of Artificial Intelligence at Aston University and Director of the Aston Centre for Artificial Intelligence Research and Application (ACAIRA). She joined Aston University as a lecturer in Computer Science in 2006. During her time with Aston University, Prof Ekárt served in various roles, including Director of Research Degree Programmes and Associate Dean for Postgraduate Programmes in the College of Engineering and Physical Sciences. She led the development and was founding programme director for the very successful MSc Artificial Intelligence and MSc Artificial Intelligence with Business Strategy programmes at Aston University. Following her PhD in 2001, Prof. Ekárt held research positions at the Institute for Computer Science and Control, a part of the Hungarian Academy of Sciences in Budapest, Hungary, and was external lecturer in Artificial Intelligence at Eötvös Loránd University and Dennis Gábor University in Budapest. Between 2001 and 2003 she was a lecturer in Computer Science at the University of Birmingham, where she lectured in Artificial Intelligence and Human Computer Interaction. Prof Ekárt's research interests are in the broad area of Artificial Intelligence: computational intelligence, theory and applications of genetic programming and evolutionary computation, evolutionary art, and data mining for engineering, design, and health. More recently, Prof Ekárt has started contributing to the field of social learning and trust in AI. She is author or co-author of over 120 publications and she enjoys numerous international interdisciplinary collaborations. In 2022 Prof. Ekárt was honoured with the Outstanding Contribution to Evolutionary Computation in Europe award by the Society for the Promotion of Evolutionary Computation in Europe and Surroundings (SPECIES).
作者簡介(中文翻譯)
Dr. Alina Patelli 擁有2017年由阿斯頓大學頒發的計算機科學博士學位，以及2011年由她的羅馬尼亞母校頒發的系統工程博士學位。她目前是阿斯頓大學應用人工智慧的高級講師，最近完成了作為本科數位與技術解決方案學位學徒計畫的課程主任的任期，這是阿斯頓大學的旗艦工作基礎課程。Patelli 博士專注於進化計算，這是一種受生物啟發的人工智慧。她的研究重點是結合轉移學習的遺傳編程及其在智慧城市中的應用，特別是交通建模和預測。Patelli 博士也對自動化、基於知識的系統，以及計算中的自我適應和自我組織感興趣。她的學術專業知識在私營部門得以應用，作為與行業的知識轉移夥伴關係的一部分。在公共領域，Patelli 博士在知名期刊和會議論文集中持續發表學術成果。她在科學活動中發表了幾次公開演講（包括2024年皇家學會夏季科學展覽），參加了播客和訪談，討論她的個人和專業發展、研究及學徒工作，為各種科學新聞媒體撰寫文章，並為國家科學戰略規劃及回應國會對其領域的證據徵集提供見解。Patelli 博士是英國青年學院的創始成員，致力於在人工智慧、數位產業及科學傳播方面貢獻和深化她的專業知識，與來自學術界、產業、公部門及其他英國學術社團的同儕共同進行跨學科的公共利益工作。Patelli 博士是阿斯頓人工智慧研究與應用中心的信任與倫理主題負責人，同時擔任產業與影響力負責人。
Anikó Ekárt 是阿斯頓大學的人工智慧教授及阿斯頓人工智慧研究與應用中心（ACAIRA）的主任。她於2006年加入阿斯頓大學，擔任計算機科學講師。在阿斯頓大學任職期間，Ekárt 教授擔任過多個職位，包括研究學位課程主任及工程與物理科學學院的研究生課程副院長。她主導了非常成功的碩士人工智慧及碩士人工智慧與商業策略課程的開發，並擔任創始課程主任。Ekárt 教授於2001年獲得博士學位後，在匈牙利科學院布達佩斯的計算機科學與控制研究所擔任研究職位，並在布達佩斯的厄爾特大學和丹尼斯·加博爾大學擔任人工智慧的外部講師。2001年至2003年間，她在伯明翰大學擔任計算機科學講師，教授人工智慧和人機互動。Ekárt 教授的研究興趣涵蓋人工智慧的廣泛領域：計算智能、遺傳編程和進化計算的理論與應用、進化藝術，以及工程、設計和健康領域的數據挖掘。最近，Ekárt 教授開始為社會學習和人工智慧中的信任領域做出貢獻。她是120多篇出版物的作者或合著者，並享有眾多國際跨學科合作的機會。2022年，Ekárt 教授因在歐洲進化計算領域的傑出貢獻而獲得歐洲及周邊地區進化計算促進協會（SPECIES）頒發的獎項。
