My goal is to contribute to innovations that impact society —Temiloluwa Oloye, UI First Class Electrical/Electronics graduate

Temiloluwa Oloye diploma Since THE Department of Electric And Electronic Engineering, University of Ibadan (UI), For THE 2022-2023 session, with A Cumulative Grade Indicate Average (CGPA) of 3.63 on A ladder of 4:00 p.m. He was among THE User interface student team that represented Nigeria has THE 2023-2024 Huawei TIC Competition global final detained In China on Can 26, winner THE grandiose price In THE Cloud Track category. In This interview by Kingsley alumina, he speak about her academic journey, THE Huawei TIC Competition, among other problems.

What Or WHO inspired You has study engineering, And Why did You choose has study he has THE University of Ibadan?

Decide What has study was difficult. As THE high student In My secondary school, a lot informed Me has study medicine. However, I I did not like a few aspects partner with he, And I was not particularly GOOD with biology. During My final year In secondary school, I spoke with parents, family, And friends WHO provided career advice, a lot of which included engineering the fields. Engineering appeals has Me due has My love For mathematics And physics. Practical laboratory sessions In physics, Or I easily created electric circuits Since circuit diagrams, solidified My decision has study electric engineering.

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Choose THE University of Ibadan was natural. He East Nigeria First of all And best university with A honorable Faculty of Technology. I research has be part of that estimated system And advantage Since It is wealth of awareness And experience.

Practical aspects of engineering education And research In Nigerian tertiary establishments are in general poor. What was THE practical And work on the field experience In User interfaces Electric And Electronic Engineering Department as during your studies there?

While a lot Nigerian tertiary establishments confront challenges In provide practical And work on the field experiences, User interface do significant efforts has bridge This gap. We had to access has well equipped laboratories In THE Electric And Electronic Engineering Department, Or We could apply theoretical awareness. THE department encouraged internships And industrial training programs has companies that to prioritize practical learning. These opportunities provided real world experience And practical application of OUR studies. For My final year project, I had to access has THE necessary tools And mentoring, which very improved My learning experience.

Which electric/electronic course was your best And why?

My favorite course was Signal Treatment. This course fascinated Me due has It is deep impact on modern technologies as telecommunications, audio And video treatment, And medical imagery. Signal Treatment algorithms, similar has machine learning algorithms, involve transform, Analyzing, And manipulate data has extract significant information. THE ability has apply these principles has real world challenges solidified My interest In This area.

HAS TO DO A First of all Class In engineering East not easy. How did You manage has reach This feat? Any of them model You could I recommend?

Realization A first class degree In engineering required discipline, dedication, effective time management, And A authentic passion For learning. On admission, I together A aim has diploma with A first class degree. I was lucky has to have older siblings WHO had reached This feat, provide Me with inspiration. Departure strong, I reached A Perfect 4:00 p.m. GPA In My First of all semester, which do maintain A First of all Class easier.

My approach implied setting clear goals each semester, maintain A consistent study calendar, revise conference Remarks frequently, And practicing pass test And exam questions. While searching help Since speakers Or peers every time I encounter difficulties was Also crucial.

What was THE title of your last year project And What were THE major results Since that?

My last year project was title 'Design And Construction of A Based on TinyML System of Manuscript Numbers Acknowledgement For Help THE Visually Impaired.

THE project developed A compact, low battery machine learning system able of recognize manuscript numbers, which could be converted In audible outputs has to assist visually weakened people. Major results include THE high precision of THE Tiny Machine Learning model with limit computer science resources And THE potential For such systems has be implemented In affordable, portable devices that can significantly improve THE quality of life For visually weakened users.

What major academic And infrastructural challenges In User interface do your scholarship THE...