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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)
|Re: Thread For PHD Students by Profeme: 3:39pm On Aug 10|
wip7:Thanks Prof. This information settles it.
|Re: Thread For PHD Students by wip7: 4:38pm On Aug 10|
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|
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.
|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.
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|Re: Thread For PHD Students by wip7: 6:43pm On Aug 10|
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.
|Re: Thread For PHD Students by subcbouy: 7:46pm On Aug 10|
wip7: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.
|Re: Thread For PHD Students by wip7: 8:25pm On Aug 10|
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.
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|Re: Thread For PHD Students by subcbouy: 8:36pm On Aug 10|
wip7: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.
|Re: Thread For PHD Students by Profeme: 8:10pm On Aug 11|
wip7: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: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
|Re: Thread For PHD Students by xcolanto(m): 8:18am On Aug 12|
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|
Please visit Kaggle.com
|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.
|Re: Thread For PHD Students by ejibaba(m): 12:32pm On Aug 12|
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.
|Re: Thread For PHD Students by speakout2015: 12:47pm On Aug 12|
|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.
|Re: Thread For PHD Students by xcolanto(m): 2:15pm On Aug 12|
Thanks, you can take down now if need be.
|Re: Thread For PHD Students by wip7: 2:21pm On Aug 12|
Sure if they are written in English
|Re: Thread For PHD Students by wip7: 2:22pm On Aug 12|
Where are you applying to (country wise)?
Can you list some of those earlier title you submitted and they said is not Phd worthy?
|Re: Thread For PHD Students by xcolanto(m): 2:24pm On Aug 12|
@speakout2015 I sent you a mail please confirm you have received.
|Re: Thread For PHD Students by speakout2015: 2:24pm On Aug 12|
|Re: Thread For PHD Students by speakout2015: 2:27pm On Aug 12|
Not received yet.
|Re: Thread For PHD Students by xcolanto(m): 4:09pm On Aug 12|
Missed a letter on your email, just resent.
|Re: Thread For PHD Students by speakout2015: 4:17pm On Aug 12|
Kindly check your mail please. Have sent you the reply. Thanks!
|Re: Thread For PHD Students by xcolanto(m): 6:10pm On Aug 12|
You have been very helpful, God bless.
|Re: Thread For PHD Students by speakout2015: 6:32am On Aug 13|
You're welcome bro. Kind regards!
|Re: Thread For PHD Students by ejibaba(m): 11:29am On Aug 13|
Sure sir...I sent a mail.
|Re: Thread For PHD Students by wip7: 11:33am On Aug 13|
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|
Thanks sir... paper sent.
|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".
|Re: Thread For PHD Students by asunmoGGMU(m): 6:49pm On Aug 13|
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.
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