[徵求] 清大楊尚樺實驗室徵英國利物浦雙聯博士
清華大學Yang Research Group實驗室與英國利物浦大學Andreas Alpers實驗室
招收雙聯學位博士生一名。
非常歡迎直接與清華大學電機系楊尚樺助理教授聯繫。
連絡信箱: shanghua@ee.nthu.edu.tw
[Project Title]
Digital Terahertz Computational Tomography
[Availability]
Open to students worldwide.
[Supervisors]
Prof. Shang-Hua Yang (shanghua@ee.nthu.edu.tw)
Department of Electrical Engineering, National Tsing Hua University, Taiwan
Prof. Shang-Hua Yang, the director of Yang Research Group at NTHU, has
expertise in microwave photonics, terahertz optoelectronics, terahertz
biomedical imaging, ultrafast optoelectronics, plasmonic photonics and
nanostructures. He has authored over 60 refereed papers in peer-reviewed
journals and conference proceedings on these topics. He has received several
prestigious awards including the SPIE Scholarship in Optics and photonics,
IEEE Antennas and Propagation Society Doctoral Research Award, Joan and
Irvin Jacobs TIX Institute Industry Scholar, Lindau Nobel Laureate Meeting
Young Scientist Fellow and MOST Young Scholar Fellowship.
Website: https://www.ee.nthu.edu.tw/shanghua/
Prof. Andreas Alpers (andreas.alpers@liverpool.ac.uk)
Department of Mathematical Sciences, University of Liverpool, UK
Prof. Andreas Alpers is a Lecturer of Mathematical Sciences at the Universit
y
of Liverpool. Discrete Inverse Problems, Discrete Optimization, Tomography,
Discrete Mathematics, Computational Complexity, Mathematical Imaging, The Pr
ouhet-Tarry-Escott Problem. He is the author and co-author of more than 30 p
apers in
international refereed journals and books, monographs, conference proceeding
s.
Website: https://www.liverpool.ac.uk/mathematical-sciences/staff/andreas-alp
ers/
[Qualifications and Experience]
*This position will remain open until a suitable candidate has been found.
Applicants will have a first class or upper second class honours degree (or
equivalent) in the engineering/science program and laboratory research exper
ience. Successful candidates will have strong math and programming skills. A
n additional masters level research experience in terahertz technology, comp
uter vision or medical imaging research is a benefit, though not required. A
ll applicants must satisfy the appropriate University English language requi
rements. For EU and international students this is an IELTS score of 6.5 wit
h no band score lower than 5.5.
When applying please ensure you Quote the supervisor & project title you wis
h to apply for and note ‘NTHU-UoL Dual Scholarship’ when asked for details
of how plan to finance your studies. Be sure to send your CV, cover letter
and the names and addresses of at least two references to shanghua@ee.nthu.e
du.tw. For application enquires please contact Prof. Shang-Hua Yang (shanghu
a@ee.nthu.edu.tw) or Prof. Andreas Alpers (andreas.alpers@liverpool.ac.uk).
[Funding Information]
This project is part of a 4 year Dual PhD degree programme between the Natio
nal Tsing Hua University (NTHU) in Taiwan and the University of Liverpool in
England. As Part of the NTHU-UoL Dual PhD Award students are in the unique
position of being able to gain 2 PhD awards at the end of their degree from
two internationally recognized world leading Universities. As well as benefi
ting from a rich cultural experience, Students can draw on large scale natio
nal facilities of both countries and create a worldwide network of contacts
across 2 continents. Both the University of Liverpool and NTHU have agreed t
o waive the tuition fees for the duration of the project and stipend of TWD
11,000/month will be provided as a contribution to living costs (the equival
ent of ￡280 per month when in Liverpool).
[Project Description]
Hidden object inspection, chemical-fingerprint identification, space explora
tion—are some of the many applications for THz radiation that can reshape h
ow we live in the coming decades. Bringing these applications to daily use,
though, urgently requires low-complexity, high-speed modalities to empower T
Hz imaging systems. In the past decades, THz time-domain spectroscopy (THz-T
DS) has become one of the most representative techniques to achieve non-inva
sive inspection due to its unique capability of extracting geometric and mul
tifunctional information of 3D objects from meter-scale down to atomic-scale
. However, it typically takes minutes to hours to visualize a single spot's
interior details, which prevents the practical use of THz-TDS systems for hi
gh-resolution, large field-of-view (FOV) tomographic applications. Reducing
data acquisition time with several orders of magnitude become the most chall
enging but impactful topic in the THz imaging research field. This PhD proje
ct will target to develop a new type of THz computation tomography modality
based on digital THz photonics and discrete/geometric tomography. Instead of
scanning objects point by point, we introduce digitalized THz beam patterns
to probe arbitrary spatial regions for any given projection angle at once.
The objects that we will image will have rather specific structures in the s
ense that they are either homogeneous, contain only a few grey levels, consi
st of (moving) particles, defects or other geometrically well-defined object
s. This will still include many cases of practical interest but has the bene
fit -which is vital in the THz-CT context- that they typically require data
acquisition from very small number of projection angles. While minimizing th
e number of patterned frames but keeping tens-kfps-level framerates, the dat
a acquisition time can be significantly reduced. Since the cost of structure
d light imaging increases data complexity, it is crucial to levitate computa
tion loading within hardware settings. Here, we design THz Fourier optics co
mponents to synthesize algorithm-based operators for tomographic imaging rec
onstruction digitally. While patterned THz beam propagates through a series
of digital THz components, each operator acts upon every matrix element in t
ime, space, and spectrum at light speed. In this regard, the time expense of
computation could be negligible. Depending on FOV and voxel size, digital T
Hz CT can offer 3D profiles of optically opaque objects in real-time.
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