11th Eai International Conference on Advancements of Science and Technology: Icast 2023

本次會議呈現了第十一屆國際科學與技術進步會議（ICAST 2023）的論文，該會議於2023年11月在埃塞俄比亞的巴希爾達爾舉行。這些論文探討了現代社會中與數位化、能源轉型、對國家經濟的影響及其近期進展等重要議題相關的經濟和技術發展。這些論文對研究人員、學術界和專業人士具有重要的參考價值。

Abeba Birhane is a cognitive scientist who works at the intersection of complex adaptive systems, machine learning, algorithmic bias, and critical race studies. Birhane's work with Vinay Prabhu uncovered that large-scale image datasets commonly used to develop AI systems, including ImageNet and 80 Million Tiny Images, carried racist and misogynistic labels and offensive images. She has been recognized by VentureBeat as a top innovator in computer vision. Birhane was born in Ethiopia. She received her Bachelors of Science in Psychology and a Bachelors of Arts in Philosophy from The Open University. In 2015, she completed her Master of Science in Cognitive Science and, in 2021, her Ph.D. at the Complex Software Lab in the School of Computer Science at University College Dublin. Birhane studied the impacts of emerging AI technologies and how they shape individuals and local communities. She found that AI algorithms tend to disproportionately impact vulnerable groups such as older workers, trans people, immigrants, and children. Her research on relational ethics won the best paper award at NeurIPS's Black in AI workshop in 2019. She has also studied and written about algorithmic colonization. Her work in decolonizing computational sciences addressed the inherited oppressions in current systems especially towards women of color.

Fekadu Shewarega (Member, IEEE) received the Dipl.-Ing. degree in electrical engineering and the Ph.D. degree in power engineering from the Technical University of Dresden, Dresden, Germany, in 1985 and 1988, respectively. After graduation, he joined the Addis Ababa University, Ethiopia as an Associate Professor, where he served in various teaching and administrative capacities. Currently, he is a member of the research staff at the University Duisburg-Essen, Duisburg, Germany. His research interests are focused on power system analysis and renewable energy technologies

Mekuanint Agegnehu Bitew received the bachelor's degree from Mekelle University, Mekelle, Ethiopia, in 2005, the master's degree from Addis Ababa University, Addis Ababa, Ethiopia, in 2007, and the Ph.D. degree from the College of Electrical and Computer Science, National Taipei University of Technology, Taipei, Taiwan, in 2016. He has been a Postdoctoral Researcher for two years with the National Taipei University of Technology. Since 2022, he has been an Associate Professor with the Faculty of Computing, Bahir Dar Institute of Technology, Bahir Dar University, Bahir Dar, Ethiopia. His research interests include WSNs, ad-hoc networks, wireless communication, optical networks, and AI.

Mekonnen Wagaw received the bachelor's degree from Addis Ababa University, Addis Ababa, Ethiopia, in 2005, the Master's degree from Addis Ababa University, Addis Ababa, Ethiopia, in 2010, and the Ph.D. degree from the University of South Africa in Information Systems, 2020. Since then, he has been an Assistant Professor with the Faculty of Computing, Bahir Dar Institute of Technology, Bahir Dar University, Bahir Dar, Ethiopia.

Ahunim Abebe Ashetehe received the B.Ed. degree in electrical engineering and the M.Sc. degree in electrical power system engineering from Adama Science and Technology University in 2005 and 2009, respectively. He worked at Debre Berhan University from 2006 to 2012 engaging in teaching learning, community service, and administrative activities. He has been a lecturer at the Bahir Dar Institute of Technology, Bahir Dar University since August 2012. He is currently pursuing a Ph.D. degree at Bahir Dar Institute of Technology, Bahir Dar University, Ethiopia. His research interests include renewable energy technologies, rural electrification, microgrid & smart grid technologies, power system optimization & energy management.

Abeba Birhane 是一位認知科學家，專注於複雜適應系統、機器學習、演算法偏見和批判種族研究的交叉領域。Birhane 與 Vinay Prabhu 的合作揭示了用於開發 AI 系統的大型圖像數據集（如 ImageNet 和 80 Million Tiny Images）中存在種族主義和厭女的標籤及冒犯性圖像。她被 VentureBeat 評選為計算機視覺領域的頂尖創新者。Birhane 出生於埃塞俄比亞，獲得了開放大學的心理學理學士學位和哲學文學士學位。2015 年，她在都柏林大學的計算機科學學院的複雜軟體實驗室完成了認知科學碩士學位，並於 2021 年獲得博士學位。Birhane 研究了新興 AI 技術的影響及其如何塑造個人和當地社區。她發現 AI 演算法往往對老年工人、跨性別者、移民和兒童等弱勢群體產生不成比例的影響。她在 2019 年於 NeurIPS 的 Black in AI 研討會上獲得最佳論文獎，研究主題為關係倫理。她還研究並撰寫了有關演算法殖民的內容。她在去殖民化計算科學方面的工作針對當前系統中對有色人種女性的繼承壓迫進行了探討。

Fekadu Shewarega（IEEE 會員）於 1985 年和 1988 年分別在德國德累斯頓工業大學獲得電氣工程學位和電力工程博士學位。畢業後，他加入了埃塞俄比亞的亞的斯亞貝巴大學擔任副教授，並在各種教學和行政職位上任職。目前，他是德國杜伊斯堡-埃森大學的研究人員。其研究興趣集中在電力系統分析和可再生能源技術上。

Mekuanint Agegnehu Bitew 於 2005 年在埃塞俄比亞梅克勒大學獲得學士學位，2007 年在亞的斯亞貝巴大學獲得碩士學位，2016 年在國立台北科技大學電機與計算機科學學院獲得博士學位。他曾在國立台北科技大學擔任兩年的博士後研究員。自 2022 年以來，他在埃塞俄比亞巴希爾達爾大學的巴希爾達爾科技學院擔任副教授。他的研究興趣包括無線感測網路、臨時網路、無線通信、光纖網路和 AI。

Mekonnen Wagaw 於 2005 年在亞的斯亞貝巴大學獲得學士學位，2010 年獲得碩士學位，並於 2020 年在南非大學獲得資訊系統博士學位。自那時以來，他在埃塞俄比亞巴希爾達爾大學的巴希爾達爾科技學院擔任助理教授。

Ahunim Abebe Ashetehe 於 2005 年和 2009 年分別在阿達馬科技大學獲得電氣工程學士學位和電力系統工程碩士學位。他於 2006 年至 2012 年在德布雷貝爾漢大學從事教學、社區服務和行政活動。自 2012 年 8 月以來，他一直在巴希爾達爾科技學院擔任講師。目前，他正在巴希爾達爾科技學院攻讀博士學位。他的研究興趣包括可再生能源技術、農村電氣化、微電網和智慧電網技術、電力系統優化和能源管理。