October
- Started as a Computer Science student at Adeleke University.
July
- Completed Secondary School and got my O' Level Certificates.
Seeking answers to the big questions!
It seems like I've gotten your attention! I'm Toluwani and I ask a lot of questions. I am also a Machine Learning PhD Candidate at MBZUAI.
The Essentials
Turns out, this is all I really need
WorldBrainSleep
Updates
November
- Completed my internship at INTECU.
August
- Started working as a Network Analyst Intern at INTECU, Obafemi Awolowo University, Osun State.
November
- Completed my internship at LAUTECH.
August
- Started working as a System Engineering Intern at MIS Unit, LAUTECH Teaching Hospital, Osun State.
November
- Started my one year of compulsory service (NYSC) for my country.
July
- Graduated and got my bachelor's degree in computer science.
November
- Concluded my year of compulsory service
April
- Became the Flag Cadet of the FRSC CDS group.
January
- Started working as a Systems Engineer at the Bureau of Information and Communication Technology (BICT), Ekiti State Government.
- Joined the Federal Road Safety Commission (FRSC) Community Development Service (CDS) Group.
December
- Left the Osun State Bureau of Work Efficiency & Productivity to focus on my graduate studies.
May
- Started my master's degree in computer science at the University of Ibadan.
January
- Started working as a Data Analyst at the Osun State Bureau of Work Efficiency & Productivity.
January 2019
- Started working as a Graduate Research & Teaching Assistant at the University of Ibadan.
November
- Flew to Abu Dhabi to commence my master's degree at MBZUAI.
June
- Accepted a fully funded scholarship to study Machine Learning at the Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), UAE.
May
- Graduated and got my master's degree in computer science.
February
- Stopped working as a Graduate Research Assistant at University of Ibadan.
2021 (THE BIG JUMP)
- Before this, my understanding of AI was rather limited. I had a grasp of the concept of automation, but I never really connected it to AI. My perception of AI was mainly influenced by what I had seen in movies, where it was often depicted as robotics. As a result, I developed a strong desire to study robotics based on those impressions. I also saw a video on YouTube which made me interested in anything automation.
August
- Started working as a Research Assistant at the SPriNT-AI lab.
January
- Started studying at MBZUAI.
December
- My first ever research paper, based on my master's thesis titled, "PolyKervNets: Activation-Free Neural Networks for Efficient Private Inference" was accepted for oral presentation at the 2023 IEEE Secure and Trustworthy Machine Learning (SaTML) conference.[Paper]
- Published an article on Medium titled, "What AI Still Can't Do #003".[Read]
- Published an article on Medium titled, "Choosing a Learning Rate for DNNs".[Read]
October
- Defended my master's thesis titled, "PolyKervNets: Activation-Free Neural Networks for Efficient Private Inference" at the Mohamed Bin Zayed University of Artificial Intelligence.
August
August
- Applied for my first patent. [More details to come]
- Started PhD in Machine Learning atMBZUAI.
July
- Published an article on Medium titled, "Accented Speech Recognition: The Inclusive Realm of Automatic Speech Recognition Systems."[Read]
June
- Our preprint, "SSIVD-Net: A Novel Salient Super Image Classification & Detection Technique for Weaponized Violence" has been uploaded on ResearchSquare and ArXiv. Update!!! It has been accepted for presentation at the 2024 SAI Computing Conference and will appear in the Springer Lecture Notes in Networks and Systems publication. Congratulations to the team.[ResearchSquare][ArXiv]
- My preprint "Unlocking Pandora's Box: Unveiling the Elusive Realm of AI Text Detection" has been uploaded on SSRN.[Paper]
- Published an article on Medium titled, "AI Text Detectors: Amazing Sleuths or WHAT?"[Read]
May
- Got my first football coaching license, "EE Playmaker" by the English Football Association.
April
- Concluded my internship atG42 Healthcare.
February
- Published an article on Medium titled, "Learning Rate Schedulers".[Read]
- Started a new exciting role as an Applied Science Intern atG42 Healthcare.
- Started a new exciting role as an AI Researcher at the MCR and Metaverse Lab atMBZUAI.
January
- Graduated from Mohamed Bin Zayed University of Artificial Intelligence with a MSc in Machine Learning.
December
- Our paper, "On the Reliability of Large Language Models to Misinformed and Demographically-Informed Prompts", has been accepted for inclusion and publication in AI Magazine (official journal of the AAAI). Congrats to the team. Published version coming out soon![Preprint]
April
- Our paper, "Redefining Contributions: Shapley-Driven Federated Learning", has been accepted for presentation and publication at the 33rd International Joint Conference on Artificial Intelligence (IJCAI), Jeju, Korea. Congrats to the team.[Paper]
January
- Our paper, "ScholarFace: Scanning Faces, Discovering Minds", has been published in the 2024 IEEE International Conference on Consumer Electronics (ICCE). Congratulations to the team![Paper]
- Our preprint, "On the Reliability of Large Language Models to Misinformed and Demographically-Informed Prompts", has been uploaded on SSRN.[Preprint]
May
- Our paper, "Optimizing Adaptive Attacks against Content Watermarks for Language Models" has been accepted as a spotlight paper at ICML 2025! Congratulations to the team.[Paper]
April
- I am now a PhD Candidate. Looking forward to the next phase of my research journey.
- I got the MBZUAI Conference Travel Scholarship to present our work on "Optimizing Adaptive Attacks against Content Watermarks for Language Models" which was accepted at ICLR-WMARK 2025!
January
- Our paper, "On the Reliability of Large Language Models to Misinformed and Demographically-Informed Prompts", has been accepted at AAAI-AI Magazine. Congrats to the team.[Paper]
April
- I am at the Center for Frontier AI Research, A*STAR Singapore for a 3-month research visit. Looking forward to collaborating with the amazing researchers here.
March
- Our paper, "MirrorCheck: Efficient Adversarial Defense for Vision-Language Models", has been accepted at CVPR (AdvML) 2026! Congrats to the team.[Paper]
February
- Our startup idea is incubated under Kora. Excited for this new chapter.[Learn more about Kora]
