人物簡介

Bernd R. Noack 教授，國家級人才，現任哈爾濱工業大學（深圳）教授，柏林工業大學湍流控制講席教授。其研究領域為面向綠色交通的氣動優化，尤其是湍流控制方向。他是人工智能用于動力學建模及流動控制領域的資深學者，其研究成果在世界范圍處于領先地位。 

Professor Noack is a national talent professor at Harbin Institute of Technology, Shenzhen, China. He is also Professor and Chair of “Turbulence Control” at the Technical University of Berlin. His research fields focus on aerodynamic optimization for green transport, in particular turbulence control. He is a world-leading scholar on artificial intelligence in modeling and control of fluid flows. 

Noack 教授曾獲國內外多項榮譽和獎勵，如獲美國物理學會會士獎（2012 年）、法國國家科學研究中心科學卓越獎（2014-2018 年），法國國家科研署杰出講席教授獎（2010-2015 年），國際應用數學和力學協會的馮·米塞斯獎（2005 年）等。已發表250多篇出版物，包括130余篇國際期刊論文、2項國際專利、3篇學科綜述以及5本著作（2本Springer教科書）。

Professor Noack has been given many honors and awards from different countries, including American Physical Society Fellowship Award (2012), CNRS Science Excellence Award (2014-2018), ANR Chair of Excellence Award (2010-2015), Richard von Mises Award from International Association for Applied Mathematics and mechanics (2005), etc. He has published more than 250 refereed publications in cooperation with other researchers, including more than 130 international journal essays, 2 patents, 3 review articles and 5 books (including 2 Springer textbooks).

作為其研究領域內被引次數最多的學者之一，Noack 教授被 Web of Knowledge 列入全球高被引科學家榜單（前 1%），并在國內機械與航空航天工程領域位居前列。

He is one of the most cited researchers in his field, is included in the highly cited researchers by Web of Knowledge (top 1%), and is ranked among the top few dozen researchers in mechanical and aerospace engineering in China. 

Noack 教授在2022世界無人機大會做主題演講

國際無人系統：

Noack 教授在湍流控制領域是享譽國內外的專家，請介紹下您目前的研究項目？

Professor Noack，you are well known for your achievement in turbulence control. Could you give a brief introduction for your current research project?

Noack 教授：

所有的高速運輸交通工具，如汽車、卡車、列車和飛機等，都需要花費絕大部分的推進力來克服由其周身湍流效應造成的空氣阻力。

Any high-speed transport vehicle, like car, truck, train and airplane, spends most of its propulsion energy to overcome aerodynamic drag. This drag originates from the turbulent flow over the vehicle. 

我們團隊目前使用由激勵器和傳感器組成的小型裝置來改變湍流結構，實現顯著的減阻效果，進而提升交通工具的續航里程并降低能源消耗。

We change this turbulent flow with small devices, called actuators and sensors, to achieve significant drag reduction and thus increase the range and reduced the energy consumption of the vehicle. 

我們對于減阻技術的研究處于世界領先水平。這項技術也可用于提高機翼的升力，改善風機的能量收集效率，優化燃燒效率等眾多工程應用。

In fact, we are a world leading team in this drag reduction technology. This technology can also be used to increase lift of airfoils, improve the energy harvesting of wind turbines, make combustion processes more effective and much more.

國際無人系統：

您目前是科研團隊的負責人，請介紹下團隊最新的研究成果。 

We have learned that you are now a supervisor for research teams. Could you share something about the current progress that your teams have achieved?

Noack 教授：

團隊的研究重點為面向綠色交通的氣動優化。我們最新研究突破是采用智能蒙皮的減阻技術。通過在汽車、無人機或空中出租車后側布置帶有激勵器陣列的薄蒙皮，采取人工智能方法對激勵器進行控制，進而顯著減小阻力并提升氣動性能。

Our focus is aerodynamic optimization for green transport. Our most recent breakthrough is a smart skin drag reduction technology. A thin “dress” of AI-controlled actuators and on a rearward side of a car, drone or air taxi can significantly reduce drag and improve aerodynamic forces. 

這種減阻技術能夠根據工程需要而定制化處理，有著安裝簡便、輕量化、且不需要額外動力輸入就能達到良好的氣動力學控制效果。這種控制技術目前在全球范圍內也是獨一無二的。

This drag reduction technology can be customized to engineering demands. For instance, the easiest implementation has negligible weight and requires no energy for good aerodynamic effects. Currently, such flow control technology is worldwide unique. 

我們還有其他許多項目在研，如：人工智能方法用于交通工具的氣動力學建模，陣風條件下無人機/空中出租車在建筑物上或建筑物內的平穩著陸等。 

We have a number of other projects, e.g. artificial intelligence methods for modeling vehicle aerodynamics, landing of drones/air taxis on or in buildings under gusty wind conditions, etc.

國際無人系統：

在您和您團隊的研究方向上，目前正在攻克的難題有哪些？ 

Is there any difficulty that your team and you have come across during the process of your research? 

Noack 教授：

工程研究有著對高可行性、高可靠性的需求，同時也要保證更優異的性能。

Turbulence control is particularly difficult because it relies on vast engineering knowledge, physical understanding and face large mathematical and hardware challenges. 

湍流控制一直以來都是重難點問題，需要依賴于大量的工程知識、物理基礎以及數學理解。應對湍流控制帶來的跨學科挑戰需要建立一個國際化的團隊和合作網絡，從而解決一系列不同的工程、物理和數學問題。

The interdisciplinary challenge of turbulence control is establishing a world-class team and collaborative network addressing a rich set of engineering, physical and mathematical problems. Engineering research implies pushing the frontiers of the possible, demonstrating performance benefits which have not been realized before. 

Noack 教授與團隊合影

我們團隊擁有超過 30 年的學術和工業經驗，與數百位國內外研究者合作，因此在該領域的創新性研究上具有獨特的優勢。 

We have over 30 years of academic and industrial experience with hundreds of collaborators and are thus uniquely positioned to innovate the field.

國際無人系統：

在難題解決之后，您的成果將應用到哪些具體領域，并給行業帶來怎樣的機遇和發展？ 

In what field will your research findings be applied to? Is there any opportunity or challenge for the development of the industry concerning about the application?

Noack 教授：

我們相信，基于人工智能的湍流控制技術將在未來幾年、幾十年內得到廣泛的應用，包括汽車、火車、飛機、燃燒、化學反應、熱管理等，這僅是其中的幾個例子。

We believe that our AI-based turbulence control technology will enjoy a huge range of applications in the coming years and decades, from cars, trains, aircraft, combustion, chemical processes, thermal management, just to name a few.

目前，我們的德國合作方已將相關研究成果應用于民用飛機和風力渦輪機。

In fact, first versions of our German collaborators are already applied on civil aircraft and wind turbines.

在中國，我們團隊的研究重點將是空中出租車、無人機和汽車。

Our focus in China will be air taxis, drones and cars.

主要包括兩個階段，第一階段是基于實驗條件展示方法的性能優勢。這一階段將提供許多國際化的合作機會。第二階段則是基于工業界的實際應用，解決工程限制問題。這也是頗具挑戰的部分，需要雙方共同的努力和耐心。 

The implementation has two steps. In the first you demonstrate a performance benefit in experiment. This creates collaborative opportunities. And in the second step you address numerous constraints of the industrial partner. This is the challenging part which requires effort and patience on both sides. 

Noack 教授正在授課

國際無人系統：

您的研究項目如何與產學研做結合？ 

In what way and to what extent has your program combined with industry and education?

Noack 教授：

20多年來，我一直致力于面向綠色交通的工程師和學者的教育事業。

Since over 20 years, I am investing in the education of future engineers and scholars of green transport.

Noack 教授出版的部分著作

我提煉和簡化了一套的成功的湍流控制方法，并在中國、歐洲、美國、加拿大和澳大利亞的一流大學開設課程。我們編寫了2本高引用量的Springer 教科書，3本其他書籍以及3篇領域綜述文章。在哈爾濱工業大學（深圳），我專門開設了關于人工智能方法的課程。

I am distilling and simplifying the most successful turbulence control methods in courses delivered at leading Universities in China, Europe, USA, Canada and Australia. We have written 2 highly cited Springer textbooks and 3 other books and 3 review articles. At Harbin Institute of Technology, I specifically teach artificial intelligence methods in engineering. 

人工智能技術使得許多工程應用問題變得更加容易。

Artificial intelligence makes many engineering tasks much easier.

楊金才會長向教授頒發聘書

國際無人系統：

前不久，深圳市無人機行業協會聘請您為深圳市無人機行業協會專家委專家，未來雙方將會有哪些合作呢？

Recently, Shenzhen UAV Industry Association has hired you as the expert in the committee. In what way will bilateral cooperation be carried out in the future?

Noack 教授：

深圳市無人機行業協會通過他們豐富的行業知識和國際化活動將我們與中國無人機及空中出租車的相關企業聯系起來。

Shenzhen UAV Industry Association connects us with Chinese applicants and producers of drones and air taxis through their vast knowledge and international events.

作為回報，我們團隊介紹了空氣動力學領域的相關進展。我們團隊正在與協會合作，在哈工大深圳建立一個空氣動力學無人機測試實驗室。  

In return, we present the aerodynamic progress on their fori. We are building a unique aerodynamic drone testing laboratory in HIT in collaboration with the association.