Proceedings of International Conference on Data, Electronics and Computing: Icdec 2024, Volume 2
暫譯: 2024年國際數據、電子與計算會議論文集:Icdec 2024,第2卷
Das, Nibaran, Ozyirmidokuz, Esra Kahya, Mandal, Swagata
- 出版商: Springer
- 出版日期: 2025-06-13
- 售價: $11,480
- 貴賓價: 9.5 折 $10,906
- 語言: 英文
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9819531624
- ISBN-13: 9789819531622
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相關分類:
電子學 Eletronics
海外代購書籍(需單獨結帳)
商品描述
作者簡介
Dr. Nibaran Das is a full professor in the Department of Computer Science and Engineering at Jadavpur University, Kolkata where he joined in 2006. He received his M.E. in CSE, and Ph.D. in Engineering in 2005 and 2012, both from Jadavpur University and did his postdocs from University of Evora, Portugal. His research interests include artificial intelligence, deep learning, document and medical image processing. He has authored or co-authored over 150 publications in these fields and published nine books/edited volumes in the domains. Professor Das has been recognized with several accolades, including the Best Volunteer Award from the IEEE Kolkata Section in 2015 and the 3rd Excellence Award at the International Document Information Processing School (IDIPS) in 2016. He is a senior member of IEEE, a member of ACM. Presently he is the chairperson of IEEE Kolkata Section, Computer Society Chapter and associate editor of Sadhana Journal. He is the principal supervisor of an ongoing project and complete six as principle/co-principle investigator Sponsored by SERB and other organization. He has been a member of the advisory/program/organizing committees of different reputed International conferences and workshops.
Dr. Esra Kahya Ozyirmidokuz graduated from Erciyes University Control and Computer Engineering Department. She continued with Business Administration master program. In her thesis, she developed an innovative fuzzy expert system aimed at evaluating job application forms. Her Ph.D. thesis was in a carpet manufacturing firm techniques which was an online software system specialized in analyzing machine downtime and error data, utilizing advanced techniques in data mining and machine learning. She worked at Bournemouth University as a visiting researcher in 2015 and in 2019. She worked in the Computer Technologies Department of Kayseri Vocational College between 2005 and 2018 in the Business Administration Department from 2019 to 2022, in Industrial Engineering Department from 2023 to 2025. Her expertise is in management information systems. Currently, she is a part of the Faculty of Economics and Administrative Sciences. She heads the Interdisciplinary Graduate Management Information Systems Master's Program and Erciyes University HappyCrowd Research Group.
Dr. Swagata Mandal is at present an assistant professor at Jalpaiguri Government Engineering College(Autonomous) in West Bengal, India. He received his Bachelor of Technology (B.Tech.) degree in Electronics and Communication from West Bengal University of Technology (WBUT) in 2011 and his M.E. degree in Electronics and Telecommunication Communication Engineering from Bengal Engineering and Science University (Deemed University), now Indian Institute of Engineering, Science and Technology (IIEST), Shibpur, Howrah, India, in 2013. He has done his doctoral research on the Development of FPGA-based Error Resilient Self-Triggered Readout Chain for CBM Experiment at Variable Energy Cyclotron Centre Kolkata, 20013-2017. He was a post-doctoral fellow at the School of Computer Science Engineering, Nanyang Technological University, Singapore, during 2017-2018. He is the recipient of the DGFS-PhD fellowship for pursuing a Ph.D. in Engineering Science from the Department of Atomic Energy, Govt. of India, in 2013.
作者簡介(中文翻譯)
Dr. Nibaran Das 是印度加爾各答 Jadavpur University 計算機科學與工程系的正教授,自 2006 年加入該校。他於 2005 年和 2012 年分別獲得 Jadavpur University 的計算機科學與工程碩士學位和工程博士學位,並在葡萄牙埃沃拉大學完成博士後研究。他的研究興趣包括人工智慧、深度學習、文件及醫學影像處理。他在這些領域發表或共同發表了超過 150 篇論文,並出版了九本書籍/編輯卷。Das 教授曾獲得多項榮譽,包括 2015 年 IEEE 加爾各答分會的最佳志工獎和 2016 年國際文件資訊處理學校 (IDIPS) 的第三屆卓越獎。他是 IEEE 的資深會員,也是 ACM 的會員。目前,他是 IEEE 加爾各答分會計算機學會分會的主席,以及 Sadhana Journal 的副編輯。他是正在進行的專案的主要指導者,並作為主要/共同主要研究者完成了六個由 SERB 和其他組織贊助的專案。他曾擔任多個知名國際會議和研討會的諮詢/程序/組織委員會成員。
Dr. Esra Kahya Ozyirmidokuz 畢業於 Erciyes University 控制與計算機工程系,並繼續攻讀工商管理碩士學位。在她的論文中,她開發了一個創新的模糊專家系統,旨在評估求職申請表。她的博士論文研究了一家地毯製造公司的技術,該系統是一個專門分析機器停機和錯誤數據的在線軟體系統,利用數據挖掘和機器學習的先進技術。她於 2015 年和 2019 年在伯恩茅斯大學擔任訪問研究員。她在 2005 年至 2018 年期間於 Kayseri 職業學院的計算機技術系工作,2019 年至 2022 年在工商管理系工作,2023 年至 2025 年在工業工程系工作。她的專長是管理資訊系統。目前,她是經濟與行政科學學院的一部分,負責跨學科研究生管理資訊系統碩士課程和 Erciyes University HappyCrowd 研究小組。
Dr. Swagata Mandal 目前是印度西孟加拉邦 Jalpaiguri Government Engineering College(自主)的一名助理教授。他於 2011 年獲得西孟加拉科技大學 (WBUT) 的電子與通信工程學士學位,並於 2013 年獲得孟加拉工程與科學大學(現為印度工程科學與技術學院 (IIEST))的電子與電信工程碩士學位。他的博士研究專注於在可變能量回旋加速器中心進行的 FPGA 基於錯誤彈性自觸發讀出鏈的開發,研究期間為 2013 至 2017 年。他於 2017 至 2018 年在新加坡南洋理工大學計算機科學工程學院擔任博士後研究員。他是 2013 年獲得印度政府原子能部門提供的 DGFS-PhD 獎學金以攻讀工程科學博士學位的受獎者。
Prof. Lale Özbakır 獲得比爾肯特大學的計算機工程學士學位。她在 Erciyes University 繼續研究生學業,專注於工業工程,並強調運籌學。她的博士論文題目為「使用啟發式方法建模、分析和解決多目標靈活作業車間排程問題」。Özbakır 教授目前擔任 Erciyes University 工業工程系的系主任,並擁有超過一百篇的出版紀錄。