yes
so this is stephen dan is it start recording
then
yep
yep what are you
studying
maybe someone wanna take a lead maybe did you know
jamie
i
propose
john
okay alright so to be simple right just to save time okay let's start yeah no you should have to register
maybe you want to provide a presentation okay so i will give a presentation about my project
okay so let's start
it
okay hello everyone thank you for coming my name is ju and my project
is a breast electromagnetic scanner
this project is supervised by doctors by china and co supervised by associate professor jin quanzhen and doctor fan yang
in china due to the covid nineteen pandemic i cannot fly to australia until the travel ban is cancelled once the border is open
i
will
travel
to
australia
oh sorry i forget to share the presentation
okay okay can you see my slide yep
yep
okay so for the agenda this presentation has three parts in the first section
showing you my research object in the second part i will give a brief introduce about breast cancer and a microwave imaging technique
introduce about the gap in the literature that i intend to fulfill in my research in the last section i will talk about my research plan
ah
so this research aims to develop a new microwave imaging prototype for early breast cancer
screening
um this uh there are three objects that i hope to fulfill in my research
first i will optimize the existing microwave microwave tomographic algorithm to improve the image resolution and computation
time
then i would like to employ deep learning technique
for breast
of our breast tissue segmentation
in
microwave breasts the image which can establish the correlation between the microwave image
and
existing scanning modalities
such as m r i next i hope to model and map fabricate a laboratory microwave imaging prototype and test it
with
realistic 3d printed breast phantoms with various tissue densities this can provide a much more realistic imaging scenario
and this project will build a low cost long ionizing high image resolution system
which use low power microwave pause to image the early stage breast tumor
in
an accurate manner
the system can be used inside a hospital or medical center
and provide people a new identity for breast imaging
and have more potential patients to diagnose the breast cancer in very early stage does this project has a positive impact
on
breast cancer screening service
for
high
risk people
mm
according to the latest report from world health organization the global cancer burden is estimated to have risen
to
eighteen point one million new cases and a nine million deaths in in australia breast cancer is the most common diagnosed cancer in
women
and the second
most
common cause of cancer death
and it is also reported that detecting breast tumor in very early stage can increase the five year survival rate
to
ninety
five percent
breast are made of breast cancer is a disease in which can cells in the breast grow out of control
and breast made of made up of low heels and ducks surrounding by the
petty
and
the connective tissues
are
you
the
once the cancer cells spread outside the ducks or lobbyists and into the breast tissue they may form a lump called
invasive breast cancer
so the golden the gold standard for breast cancer imaging is the x ray mammography although mammography currently
has undergone several
improvements
mammography still has a high false negative detection rate from four percent to thirty four percent and it is difficult to image twenty five percent of women
with
who has dense breast
in addition breast compression in mammography will make many patients feel uncomfortable and
even
painful
also
x rays
provide ionizing radiation and hence are not advisable
for
long
time exposures
ultrasound is another technique for breast cancer detection it uses a transducer to send my sound wave into the breast
and detect echoes from inside the breast
however actual sound is not advantageous for breastfeeding as it has low sensitivity and a high experience the operator is needed to perform an examination
magnetic resonance imaging is another useful screening tour for breast cancer detection
and it is highly sensitive in detecting invasive and small abnormalities
compared
with
mammography
and
ultrasound techniques
and it can be used effectively for patients with then spread
however
it is relatively expensive for early stage
screening
using
mri
so the limitation of the current screening tools has encouraged researchers to investigate alternative modality for breast cancer
screening
microwave imaging has been extensively investigated by many research groups or with several advantages including low cost
uh no no radiation and the ease of use compared with current technique
i
microwave imaging is a technique used to detect hidden or embedded
object inside a medium using microwaves and the fundamental principle of microwave detection is the sharp
contrast
in the dynamic properties of the cancerous tissue in comparison with and compares them to healthy tissues
and microwave imaging system is based on two
main parts
hardware responsible for illuminating and collecting microwave signals reflected from the illuminated objects on the test such
as
tissue and software or imaging algorithms
that are responsible for reconstructing an imaging of the target object
in literature there are two techniques for breast cancer imaging using microwave methods one is tomography and the other one
is
radar based technique
microwave tomography apply microwave signals that illuminate the breast tissue to reconstruct the permanent activity and connectivity of the breast
this approach aims at complete reconstruction profile of the the electric properties of the brass tissue
the tomographic approach is usually performed iteratively and can be represented by a long linear inverse
problem
that require significant computational resources for producing the dialectic properties of the breast which
could
be time
consuming
and database technique employee and external microwave source to illuminate breast tissue with
ultra
wide
band signals
the back scattered signals from the breast are used to detect breast tumor it avoids using long linear inverse algorithm for recovering the
complete
profile of the breasts
so the imaging time could be very fast however radar based microwave imaging methods can only detect the tumors location and the size
it loses many important clinical information about the malignancy of the tumor such as the shape of the tumor so in my research
i intend to use microwave tomography as the imaging reconstruction algorithms
so recent study gave a strong indication that microwave imaging has a high potential
for both image of the human female breast and cancer detection however computation times and image resolution present a challenge
in
microwave tomography
and time and restore resolution for previous image reconstruction algorithm
is
twenty minute me twenty minutes and ten millimeters
respectively
the faster the computing time can let more people participate into the screening service and a higher resolution can provide more clinical information
uh such as the shape of the tumor for physician to give a evaluation to the patient
and it is also important that microwave imaging should have correlation with existing
breast
scanning
modalities
like
mri
which can which may help physicians better understanding microwave images
and
p
so i intend to use a deep learning technique for breast tissue segmentation in microwave tomography which could divide
the
breast
tissue
in groups
based on the accurate breast tissue distribution
currently i have performed a literature review on breast cancer detection using microwave
imaging
technique
many
research groups
uh with many research groups uh propose their imaging systems
however
the resolution of their system is insufficient as detailed clinical information
uh detailed information
uh was not yet appeared in their result so i intend to conduct a following review that can answer the research question
about
how to improve the performance of the microwave tomography algorithm
in the next one to two months in into one
in this review i will extend the research phase to other application of microwave tomography to better
understand
other researchers have done about algorithm
optimizing
so for my research plan first i will optimize the existing microwave tomography algorithm to improve the image resolution and computation time
and then i intend to train a convolutional neural network to learn a tissue segmentation model
uh the training data causes of
microwave images that are reconstruct by our proposed image reconstruction algorithm and the ground choose consists of accurate breast
tissue distribution image
it can establish the correlation between microwave imaging and existing distribution images
bag
but it can establish the correlation between the microwave imaging and existing scanning modalities like mri and help physicians better understanding
the
microwave images
and the next i hope to model and fabricate a laboratory microwave imaging prototype and test it with realistic 3d printed breast
phantoms with various densities this can provide a much more realistic images scenarios for micro imaging
and
the
and that's the reference
thank
you
for listening
okay s
s g
this is this kind of with
the
yeah
yep
any comments from the panel a question i have some common it is to bring back the
last
plus plus size
okay
wait
a moment
let me share my screen
again
mmhmm
the first slide of
this
bracelet
okay
i start from the
last
point there right okay you said you want to produce a lab prototype
uh hardware prototype
and what kind of facility you have in your lab
do you have already have a sort of prototype or you start from
scratch
uh currently we have we already have a prototype but it is based
on
another image algorithms
wow
do you believe the hardware prototype is a software
dependent
or independent
um yes it is a combine of software and hardware the hardware is to uh illuminate and receive the signal from the breast
and the software is responsible to reconstruct to produce a imaging of the breast
all right okay that sounds to me right actually to be honest right i have done a lot of research mri image reconstruction
and i am doing pet and m r jones reconstruction and also pad using construction so from my experience
in
those
two
topic areas
it sounds a bit weird to have the hardware design dependent on the software because that would not be a
common practice so that's my first comment i believe right the image restructuring itself is challenging
enough
for a p h p if you can if you are lucky enough you get something just your plan one right and one
that alone would be more than enough for p_h_d considering your plan is only two days
i can see from the time table there for the march of two thousand twenty four i don't believe you can do all of this so better you need to narrow down then you have focus
i i would guess i'm not sure about the what's the facility you have building a hardware prototype joseph speaking is difficult
and let alone you want to build a prototype that is your reconstruction algorithm dependent
uh
well
to to
you may you may have some sort of generic type rap
uh
competition
a heavy
right you know you said here you have first you have the front tie from the line you will have a ten transmitter receiver right yeah then you have a signal processing unit
to to um process signal receive then convert them into the form you can you can uh process use your um
tomography and britain and that would be very complicated
so if you want to speed up say it is hardware side you want to speed up compensation you can use more powerful you know the hardware nowadays that's very standard that's a low cost
you can submit the gpu to that quite easily but i don't believe that would be in your benefit to do that because uh there would be a lot of the sort of engineering
practical work rather than character research yeah okay so i would
really
suggest you you just
i'm not
sure about
your
through the item in your plan and first one and i said it would be difficult enough and challenging enough and if you do have any new algorithm that would be noble enough for p s b
okay secondly i'm i'm not sure about in your kind of presentation i can say you have a very little understanding about image reconstruction
so you have a rather weak idea about what do you you know the interaction here
right
um it is a foundation a demography uh reconstruction is some some something common something common right i'm
not
sure
about this microwave
uh
you know actually now it's something probably fifteen years ago uh uh uh a colleague when was the student mothers then we
have
a partner
in
um king's college in london and i called it over there proposed to use the exact same idea
microwave
to
pump
the topography
for breast cancer detection right and even i try to learn to have some discuss with him well because at the time he wants to to build a hardware
right and that's not my strength
so that project didn't take up
then in terms of the easy retraction
you mentioned you want to use a deep learning to increase the resolution
uh
i am not sure about you know what is the fundamental idea there you need to have a certain a theoretical
foundation
there
because deep
learning
right can only learn from the data available
no understand what been being being being said say from data right what we embedded the data then it but we have a
better
uh analysis of data um since you might be able to incorporate that into your future image reconstruction
but because you are talking about in the list the microwave tomography your senses resolution in that role but how can you improve the resolution your deep learning you need to learn
from
data if you do not have a fair resolution micro micro wave to mock of the data it's impossible for people to
learn anything from that data
so this is actually a big debate here right if you want to do
this
there are sort of technology that are theory
you you you just google do it you know the the uh the uh you know what kind of a deep
learning
super resolution in medical
because i'm just a few weeks ago i revealed a r c d p one application
from a from a colleague right in the other universities they propose to use the deep learning the shift resolution to improve the resolution of the m r
i
what they did was they proposed to use the high field uh m r
i
to produce high resolution image okay then you that data to train them
uh deleting network
and then later the the sort of co register know the image is from low resolution mri meaning
from
the
low
field
mri
that's commonly used the clinic nowadays restorative t or one point five t so low resolution image
so they bring in the knowledge learned from higher resolution data to the low resolution image they sort of combine them to generate
you know sort of high resolution uh image accent low field scanner
but that is highly debatable right the idea itself now is well known and being used in many different modality
you are talking about micro to tomography this is the express specific type of the modernity rap
for the for the the problem you are facing here
is
you do not have a source of the high revolution okay for you to train
your deep learning network
so different network uh you know genesis is the so called a i a i right cannot create
something
it has never seen before it can only repeat or do something quicker more precisely like something it has seen before yeah so i think this is the major hurdle you
need
to to
to
to consider right to
understand
if you want to increase the resolution of the microwave tomography one possibility could be standard super resolution
for example you may use that no the supreme supreme supreme
supreme
one time so called a single image to resolution another one is called the multiple image resolution
in this case i believe right you might need to have soccer multiple an image of resolution because you can easily
acquire
multiple
images
using
your
lazada
at the end of this image acquired from your scanner cannot
overcome the rhythm to limit that
is
as you mentioned is a ten millimeter
then if you have multiple images you might be able to do some sort of super resolution but fundamentally it is just sort of
there is a fundamental limitation
here
because no the ten millimeter resolution actually means your sensor has a bandwidth limitation it cannot
go
bandwidth wider than that right so that means you use your sense that don't have the the signal beyond the bandwidth so that means it says you know the high resolution
from the high frequency component of signal but your sensor cannot polarize and any resolution
right
unless you have high
wideband signal acquire some way for example in that example mri right they use a high field scanner to acquire wideband signal
hence
to trade the network
but in your case your plan so far that is
missing
my message you could be if you have to stay with your company one possibility could be you use the you know the the image
from
other
high
resolution sensors
scandalous meaning
right
scanner signal
yes you might be able to increase me
regular
so this is just my suggestion so you may want to have one i think you still need a lot of things you need to still need to read
a lot of
a big theory on the you know on the industrial restructuring and
demography
that that is true enough you know the deep learning the fashion everyone tries to use deep learning without understand no they they full the understanding of the fundamental limitation
keep planning cannot overcome the fundamental limitation of your sensor definitely this cannot if you want to overcome
that
being that you know uh what about the signal or high fructose signal
from some
sources
yeah
all right that's my comments
okay okay that's a very thank you for your comments and i think i have learned a lot from your comments
first
i want
to
explain about the hardware prototype
and think i think uh that's still
the
the last step of the project is to verify the algorithm whether it is good enough
to
you image in the realistic right and the the prototype can be very simple because the signal
uh the signal receiver
we can use uh commercial vertical network analyzer and the signal that we
can
acquired of into the computer
and
processed them in the software in matlab so i think to build a prototype can
be
can be uh it's not
a
top top task for me because actually i have some experience on building a prototype
and for the step two the a i i think we may have some misunderstanding about my step two
because
in this part i try to use deep learning
to
for
rest tissue distribution segmentation
and that's to automatically denied the boundary of the different tissue
uh because they may help physician to better understanding the microwave tomographic images because it is important
currently uh radio radiologist know how to give breast cancer
evaluate
breast cancer evaluation by using m
r
i
actual sound or uh x ray mammography but they don't know how to do it with
when
facing the microwave images
so i want to uh train this model and if when we put the microwave imaging into the model and it
will
uh feedback and imaging with
the
with
the
the distribution of the breast tissue in microwave microwave images
and yes i don't want to use uh i currently i don't want to use ai technique to improve the resolution but i think it is a good idea
in
the future
to
uh combine the multiple modalities images to improve the current uh microwave images
one thing to be at i think i think uh thank you very much for the ginseng very useful comment on that one jinjin actually asking because we used you mentioned at the beginning that you started with the algorithm the
demography
and hey i just found the hardware and here is the point of a very uh important issue here which is where is your high precision data came from
i think in our previous discussion and you discuss with me and you're talking about the model so you should mention that one as well i think you visit to me and jin jin jin jin jin jin jin jin jin jin
it's a different model but you didn't present it here that's how you that you need to mention that one as well where where is your data came from at the beginning the high resolution data
but for the hardware maybe you need to add up as well because you work in the company directly dealing with designing this
halfway
so there's a few prototype probably you didn't put it here maybe you prepare that one for your c o c let on so there's a few type of the halfway have been developed in the company
and you are as a engineer you in your p s c you want to improve the hard way
so based on your supervision with the other supervisor from the company as well so there's a facility there as well and since and then when you come here so
you
can
come
by
and
there's a idea the knowledge and technology to improve the hardware
and after that with with the software there as well to to combine it together and because this is on a particular technology so it's not just mr
i m o is very welcome
but
this hasn't been in the market yet so you have to uh on a research we try to use a microwave of imaging
for the purpose of this breast cancer so it's like a one thing all combined together so probably you need to
explain
it in more detail
but i think you didn't provide a very useful comment you didn't mention about the data where the data came from the
beginning
s f x
but i thought it was just a curiosity
how deep this microwave can penetrate into the breast
ah
limitation
about
that
yes uh the when the frequency go high and it cannot penetrate so this is a trade off if
we
the frequency go higher the resolution can go higher but the penal the penetration depth can be lower so i usually we use
uh one
gigahertz to
nike
yeah i think that that is another typical no hurdle right because now is something about fifteen years ago
right
yep the so called carrot hertz uh and it became very popular and people in around the world trying to do
that
but there is an issue there so if you want to increase the then that's not dilemma for higher resolution in the high you need a higher frequency yeah right then the higher the frequency is that the the the the the the
shallow
is panic tuition yeah yeah that's right that's right for mri for ultrasound right uh putting for mri that is not a
problem
but the ultrasound can see with the issue uh
but
uh you know that that that's the reason you don't see the high resolution so this is something still uh highly
debatable
yeah
still
highly
debatable
and so for now and that's uh we know that the highest frequency could
up
to
ninety guards
when we go higher the penetration depth could uh could not
enough
so that's that's a that's really a drawback about microwave imaging but we can still extract more information from the microwave
scattered
microwave signals
alright
yeah
thanks
thank
you
thank
you
and we can help you with that yeah yeah sure yes i think professor shenzhen has a very useful suggestion also i think very
important to your research topic
so me ah i mean i'm not in this particular field so i probably will have some general questions but i want to start with my question with a with a background so g would you like to briefly
like
it shows us a little bit about your academic background
accessories
like where where are you from what was your previous study and what the current state is like uh you you working i heard the refined mention you are
currently working
right
ya
ya ya
okay
so
i graduate uh so in two thousand and nineteen i graduated from uh from the university of technology and my major is
in
in like
a
my major is in environmental and environmental uh
monitoring
the right
environment
so that we usually use many sensors to uh monitor
the
to
monitor
the environment
um is what we call the condition or involvement a data or something like that and now i work in a medical
a medical
ah company
by dr fangyang uh yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah we are working on the microwave imaging uh the current
in the past we are focused on the radar based microwave that could be that is a hot area in microwave
recent years
but it has some drawbacks so we want to go back to tomography to investigate whether we can get more
improved
in
these areas
hmm
topology ah tomography you mean a commodity sorry yeah yeah ah so the difference between those two organisms
the
uh though for database uh it is more like a detection it detect the high contrast of the dialectic
ninja
in the in the medium
and for tomography it is like a reconstruction the profile of the best profile of the biological properties in the
best
so it's a difference in in uh data processing not in the sensor or
the
okay yeah yeah because you really actually will have the so called synthetic app radar
excuse radar is is essentially the
same
yes yes yes uh we the the our prototype our last prototype yes we can build a 3d uh microwave imaging based on database
but yeah but from that kind of you can still use the uh tomography
the speaker because you saw we use we do that we have the we have the no we have the so called you know the um uh range that we have so
called
you have thirty you can still do 3d reception
yes it is possible but it will make the processing the computation time very very long
because
when we use a tomography we actually want to use a very simple antennas
because in
literate
in the literary the algorithm for tomography
is iteratively
so we have to model the antenna uh every
time
in
the literate
so we want to use uh a simple antenna that can be replaced by a single formula and not a complex formula that way
we have saved a lot of time in the image reconstruction so do you use the
the
so-called beam
steering
uh c
e
o wave transmission
a
pardon
because the shock of the technology called you know the waves curing you use a single sensor right but you you steer
the
waves of scanned area
vertically the horizontally uh even you have estimates you have three d right so that that sort of technique why do we use in the ultrasound in is is
in uh
oh
actually
so
synthetic
like
a
not not necessary you need to make time to locate it but you
can
electronically
secure
the
beams
because you said the electromagnetic waves you can steer the waves
okay you steal the waves um we haven't
tried
but the way i can say that you can actually it can be quite simple because in either insect absolute radar right it's actually because the next question can be as simple as just
simply
a two d of the inflation for very
fast
no
okay because the data acquired right using the radar principle data acquired essentially is two d or three d free transform of the object you try the image
mm
then recreation can be very very
fast
okay
so currently uh the antennae are the for our itinerary is a
synthetic
yeah yeah you can use a physically use a ring you can use also single in china but use the electronic beans but now a race not expensive i thought
nowadays
um i think you know this is a low power i read is a
cheap
oh
okay i i will search it later and i begun so sorry for the internal
yeah actually i want to know the application area you know and i know i have almost the knowledge in all
aspect of
this
more comprehensive solution rather than single you know just like every reason solution you have hardware and software processing a a package
some solutions yeah yeah i think maybe quick because at the end of supervisor didn't really know the knowledge because the x ray this is a contingent of his
p h d
developing antenna array so it's not just one single sensor is antenna array like looks like a particular for the breast cancer
yeah so it's look like a array that can be shaped like a breast and then after that you can put it in a bracelet and do the scanner and after that he did profit that further down become a company
to
to to being further like a letter maybe in africa trial
but i think that the comments were useful maybe we can bring it up and talk with fenyang talk about the signal i think he started with a single as well and noticed in
his
and after that uh improved with the rain there should be a reason behind
okay you are okay thanks for that sort of how fun interruptions that is very useful for the research as
well
eighteen
okay i will continue so um yeah when i when i first got the report so i look at the the tidal so it sounds to me like it's it's like an industry where the project
because you mentioned also in a number of several times about this prototype so that makes me a feeling that your focus for your pdd will be designing this kind of hardware
design something like that so my point is my first person probably related to the titles i think about it so maybe try to give you the impression that ok phd is
like
professor i also mentioned that there should be some innovation components for b f t studies so think about it and make it you know it looks like you know
okay
from the title i know what you are doing you know from your p d d and what your ah your research contribution will be okay something about that okay so the other thing about this is the timeline you put it
there
you can cook your time
there
so you basically started from this march right you have march so and you expect it to i mean you can do this for a billion three years is
that how you play
yeah okay yeah yeah so so again so think about the um contribution and like you know about the theory from the theory of power the other thing is if you always said okay this prototype design is only for the validation for the experiment
insane and try to balance them you know because that's not the focus of the kid studies you probably need to adjust the standard
as
well
because
from
your
ah from the time when you put it there i can see the the matrix contribution will be the acquisitions you already mentioned several acquisition there so which means from my point of view i mean you can be a mathematician with the theoretical part
yeah and this is especially when you put it there is that one two three four yeah you expected to publish four players and also for this time of this individual papers i think you put one
for two months so that's also something you need to rethink because we're normally i mean even for for for us we can't write the paper in two months okay yeah so another thing about the fifties so it is ah you you mentioned that it will be um
submit with the exactly three three percent of the years you this this is what is something you need to read with you think okay the timeline for this is okay yes so the summary so my point is for my point of view because i'm not in
this
particular field
so
ah if you talk about getting this research so probably next time for them for c o c in the report you probably need to demonstrate okay what is the uh terrible contribution you propose to you know for this p i g
a topic
so the next thing is what the outline the you know the gaps of the existing research especially from the thirty two point of view
and what's your motivation yeah then what is contribution something like that so that would be good for for our i mean
for for for the hdr you know report no even for the scissors
okay
and yeah my laughing about this kind of thing because i already see this timeline so you put the graduate certificate there he
said
you can study
this
august
and it is a
it said that it will be start in august second okay do you need to read it to complete this kind of certificate thing because you said you already you actually you wrote in the industry invented offshore p and d program
right
yes uh yes i have to because it
is
it is like a
uh
what
is
it
compulsory compulsory for engineering students yeah i'm not sure because i have dreams that i will also have a student with the influence offshore kidney program but it's not an industry invented but he actually did
not
need to complete any of this certificate but actually that's that's a minor moment yeah i know you need to check this okay okay okay all right if you can send an email to h d a candidate to double check
okay that can be mentioned
here
right so that's what i mean yeah thank you talk to
paul
so how can your student not do
that
this doesn't mean to no it's a good day
and he even did not to commit his a b c o c c o c and mid country review
yeah but like opposite yeah but if you see from there you know the enrolment is called a
phd
with
the greatest certificate
so i'm going to show you for the damage that sentence when he had no way to do this then you
don't
need
to do
this
so maybe gsm mentioned maybe just emails to hdr candidate just ask them whether you have to do it or not if you don't have to do it maybe you don't need to do
it
the refund i think you need to check off a letter as well in the oscillator that we mentioned that it was required if graduate thirty will require that we mentioned in the offer later as well and also the enrolment the guide line they will mention is
yeah yeah yeah yeah the certificate is in the enrolment in the ownership i saw that one as well there because the enrolment is a
phd with that weather certificate
yeah
and to do that and i heard someone tell me that you can't let compulsory but i'm not sure if you are not in china i think this has something to do with agreement with overseas
yeah i think it is your first case right to my knowledge for example the the our partnership with shanghai university you know that the research center set up
by
qi mohan
right
so actually we i went with children together so the on the agreement there was no such requirement
yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah
yeah yeah yeah yeah yeah yeah
yeah
yeah yeah yeah
yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah yeah
yeah yeah yeah yeah yeah yeah
yeah
but not exclude that then you have to do it the problem yeah especially we are giving this a covert situation so when the certificate is a compulsory so how are you going to manage to you know i think we have to do in one year and
first
year right
two yeah so it's
really
in my case i have a student right when he he wrote when he wrote then the h_d_r office just the timetable of his first two unit
it's not non-negotiable
the time even though you can't change the semester
just
and for me it was also two core units
yep
yeah
okay
so
that's
now i think we are
good
yeah just for myself i'm not
good
yeah so hopefully maybe let on just see we can provide more insight review of more information
this is a very interesting project
okay i think that's it i'll provide a recording this one
maybe uh do you can you send me the latest presentation site something like that that i
can
provide it
to jihong
okay thank you everyone all right thank
you