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Thread For PHD Students - Education (73) - Nairaland

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Which University In Nigeria or abroad Accepts 3.0 Msc Grade For Phd Admission? / 4 Good Reason Why You Should Go For Phd And 7 Bad Reasons Why You Should Not / Presidential Scholarship Scheme For Ist Class Nigerian Graduates For Phd Abroad (2) (3) (4)

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Re: Thread For PHD Students by Profeme: 3:39pm On Aug 10
wip7:



I think it depends on each university rules and regulations. Each university often have graduate institute office that coordinates and provides details regarding the thesis writing and formatting. In modern and standard school, such information are often placed on the university website.

In general, thesis does not have maximum nor minimum provided the key elements are all included proportionally.

I remember one of my classmates (or senior) we were nearly graduating at the same time during our PhDs;

---her thesis was like 350 pages with just one scientific publication as requirement to graduate PhD (her supervisor loves heavily paged thesis, she believes that means worthy and valuable and with such heavily paged thesis she said the student is highly competitive).

----On the other hand, my PhD thesis was 40 pages and graduated with 25 scientific publications (although when my PhD supervisors saw my thesis, they tried to convince me to increase the page so the Jury members wont say its too light.........for me I dont see any sense in that, because I only summarized all my publications........I convinced the major supervisor that spending 3 years in lab/field with 25 publications and another with 7.5 years for PhD with 1 publication even blind person will know......so no further comments). During the submission at the graduate institute, the director said the thesis appears light and less pages, I told him my supervisors and Jury members did not complain niether myself... so......!


For the PhD students I have supervised; I believe in quality, passing experience, training and exposure to my students rather than giving me 1000 pages thesis and after graduation they are not worthy or their CVs cant compete favorably globally. The university needs just 1 reputable publication to graduate, but my rule for my PhD students is minimum of 10 paper publications, some meet and exceed while some meets just 5 ......

Anyway, So check with your university and supervisor advice.
Thanks Prof. This information settles it.

4 Likes

Re: Thread For PHD Students by wip7: 4:38pm On Aug 10
subcbouy:
Sir, I want to know if you allow your research student to use their own idea or you asked them to do everything based on your own, not theirs.

Each student comes with different set of skills, experience, exposure, knowledge and drive. For me, I personally dont accept every students that want me to supervise them. I tend to first ensure the student is actually open-minded, really ready and have a set of background skills.

So regarding your question: I have a wide research areas and when student come I want to listen to what they want to do. So I evaluate their ideas and proposal according to these steps:

1. is the research worthy? is it a PhD or master level research?

2. Level of knowledge and practical skills my student have?

3. What are the innovations and significant contribution the proposed research idea will generate and the impact?

4. I prefer a research idea that is not bound just to my lab but must be reproducible internationally and not necessarily 100% under my lab parameters even though if its directed largely to solve national issues.

5. I prefer research idea that has element of lab-to-market.

6. I check, do we have the equipment, material and required facilities to conclude the research within the allowed time-frame.

7. If we currently, dont have the equipment, do I have network that can help with the facilitity or can I switch the student to other country for some time or can I purchase the needed facility to support the research? So I spend time on this part.

8. If this research is concluded, can we publish the data? who will benefit and what significant contribution are we going to attain.

So if my students idea falls positively into the above-listed, then we start the research work based on the student ideas under my guidance.

I personally dont leave my student wondering and depressing in the lab or field, I spend quality and high number of times in the lab and on the field, I want to be part and percel of the research work. Also, I will not give you research that I have never done myself...however, there rooms for myself and students to learn new things and work on something entirely new.....thats science.


As an example; I have a PhD student recently, she told me about her country agricultural issues and she aims to focus her PhD on slow-release fertilizer hydrogel and organic nutrient booster for a modern farming system. Her ideas and proposal is very lovely, amazing and will worth good investment if she startup her project after completing the PhD. We dont have farming system in my lab, I personally know little about that project but I have expertise skills with fabricating the material for slow release hydrogel. I spoke with a friend in Czech Republic that owns highly profitable Aeroponic farms and another that owns a start-up Greenhouse farm in Isreal, they are ready to accommodate her for 1-2 years on and off for practical trainings and testing of our materials and data collection. Unfortunately, she will need to fund her trips, her stay and everything but she will learn. Fortunately, I have some funding for another project so she is currently in that other project whereby she was able to use that funding and learnt valuable things in Czech over 7 months and we collected data and the data are worthy. That data allowed us to apply for UNESCO funding that will target her PhD work directly (we are yet to get the result of the application), we recently received funding for the same project from a local industry that also interested in the project work and that can last her another 6 months again.....

Meanwhile, when this student came, she has no idea how to do this practically in fact she has less English and less lab experience but she has worthy idea. Now she is doing perfectly great. She now teaches me how to grow potatoes and vegetable without soil just with UV lamp. I have used the data into AI (airtificial inteligence) model and we have fabricated a device to collect data straight to our cloud and thats really making valuable contribution. Later I will post some of the publications on slow-release fertilizer hydrogel we did.


I hope this answers your questions.

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Re: Thread For PHD Students by subcbouy: 5:18pm On Aug 10
wip7:


Each student comes with a different set of skills, experience, exposure, knowledge, and drive. For me, I personally don't accept every student that wants me to supervise them. I tend to first ensure the student is actually open-minded, really ready, and have a set of background skills.

So regarding your question: I have a wide research area and when students come I want to listen to what they want to do. So I evaluate their ideas and proposal according to these steps:

1. is the research worthy? is it a Ph.D. or master level research?

2. Level of knowledge and practical skills my student have?

3. What are the innovations and significant contribution the proposed research idea will generate and the impact?

4. I prefer a research idea that is not bound just to my lab but must be reproducible internationally and not necessarily 100% under my lab parameters even though if it's directed largely to solve national issues.

5. I prefer a research idea that has an element of lab-to-market.

6. I check, do we have the equipment, material, and required facilities to conclude the research within the allowed time-frame.

7. If we currently, don't have the equipment, do I have a network that can help with the facility or can I switch the student to another country for some time or can I purchase the needed facility to support the research? So I spend time on this part.

8. If this research is concluded, can we publish the data? who will benefit and what significant contribution are we going to attain.

So if my student's idea falls positively into the above-listed, then we start the research work based on the student ideas under my guidance.




Meanwhile, when this student came, she has no idea how to do this practically in fact she has less English and less lab experience but she has a worthy idea. Now she is doing perfectly great. She now teaches me how to grow potatoes and vegetables without soil just with a UV lamp. I have used the data into AI (artificial intelligence) model and we have fabricated a device to collect data straight to our cloud and that's really making a valuable contribution. Later I will post some of the publications on slow-release fertilizer hydrogel we did.


I hope this answers your questions.


It has answered even more than expected. During my master's degree, I have a lecturer that loved dictating to students what he want to extend that many of these students couldn't finish their thesis on time. It was horrible to some of these students to extend that some have to write for extension of submission because meeting the time of submission wasn't visible.

I will also like to ask you some questions about artificial intelligence relating to corrosion. How do you think the dataset in corrosion should look like? Is corrosion results from various companies or collection of individual results a dataset? You have inspired my desire to use machine learning in corrosion.
Thank you, sir.

1 Like

Re: Thread For PHD Students by wip7: 6:18pm On Aug 10
For those interested in Machine learning and Artificial intelligence

Here are steps of courses you may need to take to push you through this .....along these steps you will learn valuable things and in fact do wonderful projects. Machine learning can be incorporated into nearly almost all domain provided there are data to support it.


Skills in machine learning these days offer a remunerative career as its benefit organizations by making predictions and helping them make better decisions.


Credit:
Kaggle

8 Likes 2 Shares

Re: Thread For PHD Students by wip7: 6:43pm On Aug 10
subcbouy:


I will also like to ask you some questions about artificial intelligence relating to corrosion. How do you think the dataset in corrosion should look like? Is corrosion results from various companies or collection of individual results a dataset? You have inspired my desire to use machine learning in corrosion.
Thank you, sir.

Are you talking about corrosion inhibition or predicting corrosion occurrence?

To build a valuable AI model; first you need to know aim of the model and who will use the model. If you model will predict occurrence of corrosion for a particular company or particular product. Then you have to collect data on factors that often cause the corrosion from the company if you are building for the company.

For example, I am building ML model for Air Pollution Monitoring that will be a web-based in my city and can be useful in the country; what I did was to design my own device (via Arduino board) to collect concentration of the target air pollutants like Carbon monoxide, O3, PM10, Lead, Nitrogen dioxide, Ozone, Particles, Sulfur dioxide, etc. So we have 15 of the devices in different locations within the city and it collects data daily and for 3 months we started building the model and its ongoing project. My colleague have published part of this work recently in the Journal of Atmospheric Pollution Research.

However, my intention is to build a web page that gives air pollution index and forecast just like weather forecast sites.


The data can be from 5000 upwards depend on how much you want, the more the data the more the model can easily detect patterns.

Advantage of AI/ML and large dataset

1. Fast to spot a trend: Machine Learning can review large volumes of data and discover specific trends and patterns that would not be apparent to humans.

2. ML Self and continuous improvement : As ML model gain experience, it keeps improving in accuracy and efficiency without human intervention so as to make better decisions. Example, if you want to make a weather forecast model. As the amount of data you have keeps growing, your ML model learns to make more accurate predictions faster.

3 Likes

Re: Thread For PHD Students by subcbouy: 7:46pm On Aug 10
wip7:


Are you talking about corrosion inhibition or predicting corrosion occurrence?

To build a valuable AI model; first, you need to know the aim of the model and who will use the model. If your model will predict the occurrence of corrosion for a particular company or particular product. Then you have to collect data on factors that often cause corrosion from the company if you are building for the company.

For example, I am building ML model for Air Pollution Monitoring that will be a web-based in my city and can be useful in the country; what I did was to design my own device (via Arduino board) to collect concentration of the target air pollutants like Carbon monoxide, O3, PM10, Lead, Nitrogen dioxide, Ozone, Particles, Sulfur dioxide, etc. So we have 15 of the devices in different locations within the city and it collects data daily and for 3 months we started building the model and its ongoing project. My colleague have published part of this work recently in the Journal of Atmospheric Pollution Research.

However, my intention is to build a web page that gives air pollution index and forecast just like weather forecast sites.


The data can be from 5000 upwards depending on how much you want, the more the data the more the model can easily detect patterns.

Advantage of AI/ML and large dataset

1. Fast to spot a trend: Machine Learning can review large volumes of data and discover specific trends and patterns that would not be apparent to humans.

2. ML Self and continuous improvement : As the ML model gain experience, it keeps improving in accuracy and efficiency without human intervention so as to make better decisions. For example, if you want to make a weather forecast model. As the amount of data you have keeps growing, your ML model learns to make more accurate predictions faster.

Thank you, sir. Yeah, predicting the occurrence of corrosion in underwater pipelines caused by marine growth. I am not building for any company but to teach myself though. Who knows it might end in patent hahaha. I appreciate your response so much.

Is it the organism population that will become dataset.? Sorry, for too many questions. I am still a novice to ML.

2 Likes

Re: Thread For PHD Students by wip7: 8:25pm On Aug 10
subcbouy:
Thank you, sir. Yeah, predicting the occurrence of corrosion in underwater pipelines caused by marine growth. I am not building for any company but to teach myself though. Who knows it might end in patent hahaha. I appreciate your response so much.

Is it the organism population that will become dataset.? Sorry, for too many questions. I am still a novice to ML.

First corrosion of pipelines are caused by many reactions (redox) in corrosive enviroment like when the pipeline reacts with another substance such as oxygen, hydrogen, SO2, an electrical current or even dirt and bacteria.

To collect data for corrosion, you have to first know the type of corrosion and that will help you to determine what causes that type of particular corrosion and then you can collect data for it. Type of corrosions are: Uniform corrosion, Galvanic corrosion, Pitting corrosion, Stress corrosion cracking, Crevice Corrosion and Microbiologically influenced corrosion (MIC).



To build Machine learning model to predict corrosion occurrences; first identify type of corrosion you want to predict. Some of the data that will be needed to be collected will include: structural data, environmental data and metallurgical data which can be some of these pH of the environment, temperature, pipeline composition (metalurgical factors), welding conditions, air/water pollution data.

For Microbial corrosion or MIC: this can be caused by bacteria, fungi and microalgea. The aerobic bacteria like Thiobacillus thioparus, Acidithiobacillus thiooxidans and Thiobacillus concretivorus are the three major bacteria causing corrosion. So you have to identify the concentration of these bacteria in that environment, nature of reactions they cause, do they make the pipeplines to smell like toxic hydrogen sulfide or the pipeline coating gone and looks more like light weight graphite.....all these info will help you to identify exact bacteria and then come up with parameters to collect data from.

Meanwhile, there are valuable published papers on machine learning with corrosion occurrences.

4 Likes 1 Share

Re: Thread For PHD Students by subcbouy: 8:36pm On Aug 10
wip7:


first, corrosion of pipelines is caused by many reactions (redox) in a corrosive environment like when the pipeline reacts with another substance such as oxygen, hydrogen, SO2, an electrical current or even dirt and bacteria.

To collect data for corrosion, you have to first know the type of corrosion and that will help you to determine what causes that type of particular corrosion and then you can collect data for it. Type of corrosion are Uniform corrosion, Galvanic corrosion, Pitting corrosion, Stress corrosion cracking, Crevice Corrosion, and Microbiologically influenced corrosion (MIC).



To build a Machine learning model to predict corrosion occurrences; first, identify the type of corrosion you want to predict. Some of the data that will be needed to be collected will include: structural data, environmental data, and metallurgical data which can be some of these pH of the environment, temperature, pipeline composition (metallurgical factors), welding conditions, air/water pollution data.

For Microbial corrosion or MIC: this can be caused by bacteria, fungi, and microalgae. The aerobic bacteria like Thiobacillus thioparus, Acidithiobacillus thiooxidans and Thiobacillus concretions are the three major bacteria causing corrosion. So you have to identify the concentration of these bacteria in that environment, nature of reactions they cause, do they make the pipelines to smell like toxic hydrogen sulfide or the pipeline coating gone and looks more like lightweight graphite.....all these info will help you to identify exact bacteria and then come up with parameters to collect data from.

Meanwhile, there are valuable published papers on machine learning with corrosion occurrences.
God bless you, sir. You made my day. MIC will be suitable for this. I was thinking to include temperature, concentration, the pressure to this initiative but your explanation has simplified it to me now. This area hasn't been explored. Though, several types of research have been conducted in different methods like acoustic, radiation wavelength, etc for prediction. Thank you once again. consequently, I may ask more questions.

3 Likes

Re: Thread For PHD Students by Profeme: 8:10pm On Aug 11
wip7:
For those interested in Machine learning and Artificial intelligence

Here are steps of courses you may need to take to push you through this .....along these steps you will learn valuable things and in fact do wonderful projects. Machine learning can be incorporated into nearly almost all domain provided there are data to support it.


Skills in machine learning these days offer a remunerative career as its benefit organizations by making predictions and helping them make better decisions.


Credit:
Kaggle
I am interested in learning AI and Machine Learning. How do I get materials for the listed courses?
Re: Thread For PHD Students by Rhymeyjohn: 8:02am On Aug 12
bennymine:


If you haven't, consider teaching Mathematics overseas (e.g. UK) and doing a Part-time PhD.
Please how does this work?

I will like to take action on it. Also a prospective PhD student but teaching chemistry in an international secondary school

2 Likes

Re: Thread For PHD Students by xcolanto(m): 8:18am On Aug 12
speakout2015:
What's the total number of points against the merited points you were awarded? Once you're able to provide this, I will calculate it for you. Thanks!



Is there a way I can contact you personally? The credits I counted for the course came out 180 and I obtained 180 credits. It's really confusing and I wish I could get more clarifications. Thanks
Re: Thread For PHD Students by wip7: 9:27am On Aug 12
Profeme:
I am interested in learning AI and Machine Learning. How do I get materials for the listed courses?

Please visit Kaggle.com

1 Like

Re: Thread For PHD Students by milanseedorf(m): 11:51am On Aug 12
Good day Prof. I wish to pick your brain a little. I wish to apply for a Phd program in computer science but am finding it difficult to get an area of research that will be cost effective for me and i also get to finish. Most of the topics i have presented have been tagged not phd worthy. Thanks as i wait for your response.

1 Like

Re: Thread For PHD Students by ejibaba(m): 12:32pm On Aug 12
Profeme:
Thanks Prof. This information settles it.

Wow!!! This is interesting..25 during PhD...

Prof will you be willing to review some of my papers, I'm planning to send out for publication. I'll appreciate your contribution.

Thanks

1 Like

Re: Thread For PHD Students by speakout2015: 12:47pm On Aug 12
abiodunscholar2015@gmail.com


xcolanto:


Is there a way I can contact you personally? The credits I counted for the course came out 180 and I obtained 180 credits. It's really confusing and I wish I could get more clarifications. Thanks

1 Like

Re: Thread For PHD Students by speakout2015: 12:57pm On Aug 12
If you're saying the total registered course credit [B] is equal to the obtained credit [A], we can express it as:
(180 [A]/180 [B]) × 4.5 or 5.0 = 4.5 or 5.0 if probably the school you are applying to uses 4.5 or 5.0 CGPA scale.


speakout2015:
abiodunscholar2015@gmail.com


Re: Thread For PHD Students by xcolanto(m): 2:15pm On Aug 12
speakout2015:
abiodunscholar2015@gmail.com



Thanks, you can take down now if need be.

1 Like

Re: Thread For PHD Students by wip7: 2:21pm On Aug 12
ejibaba:


Wow!!! This is interesting..25 during PhD...

Prof will you be willing to review some of my papers, I'm planning to send out for publication. I'll appreciate your contribution.

Thanks

Sure if they are written in English grin grin

1 Like

Re: Thread For PHD Students by wip7: 2:22pm On Aug 12
milanseedorf:
Good day Prof. I wish to pick your brain a little. I wish to apply for a Phd program in computer science but am finding it difficult to get an area of research that will be cost effective for me and i also get to finish. Most of the topics i have presented have been tagged not phd worthy. Thanks as i wait for your response.

Where are you applying to (country wise)?

Can you list some of those earlier title you submitted and they said is not Phd worthy?

1 Like

Re: Thread For PHD Students by xcolanto(m): 2:24pm On Aug 12
@speakout2015 I sent you a mail please confirm you have received.

1 Like

Re: Thread For PHD Students by speakout2015: 2:24pm On Aug 12
Okay..
xcolanto p1ost=92737503:
@speakout2015 I sent you a mail please confirm you have received.
Re: Thread For PHD Students by speakout2015: 2:27pm On Aug 12
Not received yet.

speakout2015:
Okay..

1 Like

Re: Thread For PHD Students by xcolanto(m): 4:09pm On Aug 12
speakout2015:
Not received yet.


Missed a letter on your email, just resent.

1 Like

Re: Thread For PHD Students by speakout2015: 4:17pm On Aug 12
Kindly check your mail please. Have sent you the reply. Thanks!
xcolanto:


Missed a letter on your email, just resent.
Re: Thread For PHD Students by xcolanto(m): 6:10pm On Aug 12
speakout2015:
Kindly check your mail please. Have sent you the reply. Thanks!

You have been very helpful, God bless.

1 Like

Re: Thread For PHD Students by speakout2015: 6:32am On Aug 13
You're welcome bro. Kind regards!


xcolanto:


You have been very helpful, God bless.

1 Like

Re: Thread For PHD Students by ejibaba(m): 11:29am On Aug 13
wip7:


Sure if they are written in English grin grin

Sure sir...I sent a mail.

1 Like

Re: Thread For PHD Students by wip7: 11:33am On Aug 13
ejibaba:


Sure sir...I sent a mail.

Okay let me check
Re: Thread For PHD Students by seudocode: 3:31pm On Aug 13
Kindly assist .

With Msc in elect/elect cgpa -3.8/7.0 from UI and B.Eng 2.1 elect /elect; I need to know if I am fit to apply to Unilag and begin my pursuit of PhD through apply first for MPhil.
3.8/7.0 is like 3.38/5 on Unilag scale of 5.0 or say 54.2%.

Pls advice.what is the way forward. What are my possible options??
Re: Thread For PHD Students by ejibaba(m): 4:28pm On Aug 13
wip7:


Okay let me check

Thanks sir... paper sent.

2 Likes

Re: Thread For PHD Students by Vicrown(m): 5:04pm On Aug 13
Permit my biblical allusion;
"Seek ye first academic excellence and every other thing shall be added onto you".

https://youtu.be/8sQR71Me-_MWFP

Re: Thread For PHD Students by asunmoGGMU(m): 6:49pm On Aug 13
seudocode:
Kindly assist .

With Msc in elect/elect cgpa -3.8/7.0 from UI and B.Eng 2.1 elect /elect; I need to know if I am fit to apply to Unilag and begin my pursuit of PhD through apply first for MPhil.
3.8/7.0 is like 3.38/5 on Unilag scale of 5.0 or say 54.2%.

Pls advice.what is the way forward. What are my possible options??

I am not privy to any specific rule as to PhD admission in your field but the general rule is that 60% is the requirement. In fact, there are some institutions that peg it at 65% considering the number of applications. Nonetheless, I have seen a friend that was admitted into a state university in the SE owing to the number of his publications in high IF journals

By and large, I would advice you enquire from PG Coordinator of your prospective Department. That may go a long way to help. I hope this helps.

1 Like

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