Based in London, Ajit's work spans research, entrepreneurship and academia relating to artificial intelligence (AI) and the internet of things (IoT).
Ajit is the Course Director and/or tutor for Continuing Education’s portfolio of artificial intelligence courses for professionals:
Ajit is also a Visiting Fellow in the Department of Engineering Science here at the University of Oxford.
He also works as a Data Scientist through his company feynlabs - focusing on building innovative early stage AI prototypes for domains such as cybersecurity, robotics and healthcare.
Besides the University of Oxford, Ajit has also conducted AI courses in the London School of Economics (LSE), Universidad Politécnica de Madrid (UPM) and as part of the The Future Society at the Harvard Kennedy School of Government.
He is also currently working on a book to teach AI using mathematical foundations at high school level.
Ajit was listed in the top 30 influencers for IoT for 2017 along with Amazon, Bosch, Cisco, Forrester and Gartner by the German insurance company Munich Re.
Ajit publishes extensively on KDnuggets and Data Science Central.
He was recently included in top 16 influencers (Data Science Central), Top 100 blogs (KDnuggets), Top 50 (IoT central), and 19th among the top 50 twitter IoT influencers (IoT Institute).
His PhD research is based on AI and Affective Computing (how AI interprets emotion).
Olu Odeniyi has over 30 years’ experience helping organisations maximise commercial gain from technology solutions.
During this time, Olu held several key senior leadership, strategic and operational positions in the public and private sectors where he gained awards for innovation and exceeding objectives.
He advises companies on cyber security, information security and digital transformation.
Working with the University of West London Enterprise hub, Olu created and led workshops on cyber security, AI, and information security. He has also created and taught cyber security courses to audiences from the public and private sectors.
Olu led the cyber security and big data themes for the Science and Innovation Audit (SIA) sponsored and by the department of Business, Energy and Industrial Strategy (BEIS) led by Brunel University. He also led a workshop on “cyber security for airports” involving experts from Glassgow and Royal Holloway university.
Olu co-authored the final report published by BEIS.
As a virtual CISO, Olu has led several cyber security incident responses and liaised with forensic investigators.
He leverages his practical expertise and scholarly inquiry to produce insights and guidance on emerging cyber security challenges. He has also reviewed books on cyber security and is quoted regarding his acuities on “the threat of deepfakes”.
Olu is currently researching application of AI for cyber security within IoT, working with the University of West London. He is also working on a new start-up focused on educating boardrooms on cyber security governance. Olu speaks on various cyber security topics at public events and private gatherings.
Researching the use of Large Language Models (LLMs) within the cyber security domain is another current research interest for Olu.
Olu has a degree in Electronic Systems Engineering and is a professional member of BCS (Chartered Institute for IT).
Special Interest groups Olu has joined include Artificial Intelligence, Cybercrime Forensics, Information Risk Management Assurance, Information Security, Agile Methods.
Raj Sharma has over 24 years of experience in software consulting, entrepreneurship with artificial intelligence (machine learning and deep learning), Big data technologies, CyberSecurity and AI specialists, Data engineering, Tech Executive, and Focus on Sustainability in Digital.
As the founder and Principal Consultant of AI and CyberSecurity Consultancy, Raj leads and delivers full-stack data science projects and works with startups, scaleups, MNCs, UK Government, focusing on building Tech using AI and Big Data for domains such as cybersecurity, healthcare, and education. He has been involved in implementing artificial intelligence cyber security algorithms based on a Generative AI.
Raj also has experience in creating Enterprise Data platforms and secure Machine learning pipelines for development, training, testing, and deploying ML algorithms in a production environment.
He has a Master's Degree in Information Security certified by GCHQ, the UK Government Communications Headquarters, with a Research Project in AI and has a Master's Degree in Software Development and Algorithm Design, along with a strong software engineering background with mathematics, statistics, and physics. Pursuing PhD from Royal Holloway University of London (Generative AI applications in Information Security).