Handbook of Dynamic Data Driven Applications Systems: Volume 2
Darema, Frederica, Blasch, Erik P., Ravela, Sai
- 出版商: Springer
- 出版日期: 2024-09-15
- 售價: $7,030
- 貴賓價: 9.5 折 $6,679
- 語言: 英文
- 頁數: 956
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3031279883
- ISBN-13: 9783031279881
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作者簡介
Erik P. Blasch, PhD, is a Program Officer with the Air Force Office of Scientific Research. His focus areas are in multi-domain (space, air, ground) data fusion, target tracking, pattern recognition, and robotics. He has authored 750+ scientific papers, 22 patents, 30 tutorials, and 5 books. Recognitions include the Military Sensing Society Mignogna leadership in data fusion award, IEEE Aerospace and Electronics Systems Society Mimno best magazine paper award, IEEE Russ bioengineering award, and founding member of the International Society of Information Fusion (ISIF). Previous appointments include adjunct associate professor at Wright State University, exchange scientist at Defense Research and Development Canada, and officer in the Air Force Research Laboratory. Dr. Blasch is an associate fellow of AIAA, fellow of SPIE, and fellow of IEEE.
Sai Ravela, PhD, directs the Earth Signals and Systems Group (ESSG) in the Earth Atmospheric and Planetary Sciences (EAPS) Department at the MassachusettsInstitute of Technology. In addition, he is presently an Engineering Fellow at Cytonome conducting Cell Imaging & Biofluidic Control R&D, he is a co-Founder of WindrisktechLLC, quantifying Hurricane-induced Risk in a changing climate. Dr. Ravela's primary interests are in statistical pattern recognition, stochastic nonlinear systems science, and computational intelligence, withapplication to earth, planets, climate, and life. Dr. Ravela introduced new methods for coherent fluid dynamical regimes, applying them to DDDAS-based observing systems of localized atmospheric phenomena, laboratory studies, and wildlife. He has advanced learning-based approaches to DDDAS, and introduced the ensemble-based informative approach for DDDASbased learning and hybrid stochastic systems. Dr. Ravela is the recipient of the MIT 2016 Infinite Kilometer award for exceptional research and mentorship. Dr. Ravela organized the Dynamic Data Driven Environmental Systems Science Conference (DyDESS 2014, Cambridge), and has co-organized all DDDAS conferences (2016-2022).
Alex J. Aved, PhD, is a Senior Researcher with the Air Force Research Laboratory, Information Directorate, Rome, NY, USA. His research interests include multimedia databases, stream processing (via CPU, GPU, or coprocessor), and dynamically executing models with feedback loops incorporating measurement and error data to improve the accuracy of the model. He has published over 50 papers and given numerous invited lectures. Previously, he was a programmer at the University of Central Florida and database administrator and programmer at Anderson University.
作者簡介(中文翻譯)
Frederica Darema博士是InfoSymbiotic Systems Society的總裁兼首席執行官。她曾擔任美國空軍科學研究辦公室的高級行政服務(SES)成員及主任,負責整個空軍的基礎研究投資,同時擔任空軍首席數據辦公室的研究主任,以及空軍科學、技術與工程辦公室的副助理部長。她的職業生涯包括在匹茲堡大學、布魯克海文國家實驗室和施樂博-道爾的研究人員職位;在T.J. Watson IBM研究中心和IBM企業策略小組、國家科學基金會及國防高級研究計畫局的管理及高層職位;以及擔任空軍科學研究辦公室信息、數學和生命科學部門的主任。Darema博士擁有核物理的博士學位,是電氣和電子工程師學會(IEEE)的會士,並獲得其他專業認可。1983年,她開創了SPMD計算模型,該模型是平行(超)計算的主要模型;1980年,她開創了DDDAS範式,自2000年以來,她組織並領導了研究倡議、計畫、研討會、會議(包括每兩年舉辦的DDDAS/InfoSymbiotic Systems會議系列,與共同編輯Blasch、Ravela和Aved共同主辦,2016年至今)及其他論壇,以促進和推廣基於DDDAS的科學和技術進步。
Erik P. Blasch博士是美國空軍科學研究辦公室的計畫官。他的研究重點包括多領域(空間、空中、地面)數據融合、目標追蹤、模式識別和機器人技術。他已發表超過750篇科學論文,擁有22項專利、30個教程和5本書籍。獲得的榮譽包括軍事感測學會的Mignogna數據融合領導獎、IEEE航空航天與電子系統學會的Mimno最佳雜誌論文獎、IEEE Russ生物工程獎,以及國際信息融合學會(ISIF)的創始成員。之前的任職包括懷特州立大學的兼任副教授、加拿大國防研究與發展的交流科學家,以及空軍研究實驗室的官員。Blasch博士是美國航空航天學會(AIAA)的副會士、SPIE的會士及IEEE的會士。
Sai Ravela博士是麻省理工學院地球大氣與行星科學系(EAPS)地球信號與系統組(ESSG)的主任。此外,他目前是Cytonome的工程會士,從事細胞成像與生物流體控制的研發,並且是Windrisktech LLC的共同創辦人,專注於量化氣候變遷下的颶風風險。Ravela博士的主要研究興趣包括統計模式識別、隨機非線性系統科學和計算智能,應用於地球、行星、氣候和生命。Ravela博士引入了連貫流體動力學範疇的新方法,並將其應用於基於DDDAS的局部大氣現象觀測系統、實驗室研究和野生動物研究。他推進了基於學習的DDDAS方法,並引入了基於集成的資訊方法,用於DDDAS基礎的學習和混合隨機系統。Ravela博士獲得了麻省理工學院2016年無限公里獎,以表彰其卓越的研究和指導。Ravela博士組織了動態數據驅動環境系統科學會議(DyDESS 2014,劍橋),並共同組織了所有DDDAS會議(2016-2022)。
Alex J. Aved博士是美國紐約羅馬空軍研究實驗室信息部的高級研究員。他的研究興趣包括多媒體數據庫、流處理(通過CPU、GPU或協處理器)以及動態執行模型,並結合測量和誤差數據的反饋迴路以提高模型的準確性。他已發表超過50篇論文。