Milad Armani D.
Senior Research Fellow
PhD in Technology Management & Industrial Engineering
MSc. in Information Systems
BSc. in Information Systems
Key Skills
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Cryptocurrency & Blockchain Strategy
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Decentralized Finance (DeFi) & Smart Contracts
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IP Portfolio & patent analysis & Commercialization
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FinTech Product Development & Innovation
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Technology Transfer & Business Strategy
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AI & Web3 Applications in Financial Services & Healthcare
A Bit About Me
"Hey there! I’m a tech enthusiast, researcher, and innovator with a passion for FinTech, IP strategy, and digital innovation. Over the years, I’ve worked across academia and industry, diving deep into emerging technologies, patents, and startup ventures. Whether it’s exploring AI, blockchain, or the future of online dating, I’m always looking for ways to bridge ideas with real-world impact. Welcome to my tech hub—let’s talk innovation!"
Work Experience
July 2022 - Present
Jun 2020 - July 2022
Sep 2018 - Jun 2020
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Senior Research Fellow (Nottingham Business School) - UK
I specialize in FinTech research, focusing on CBDCs, cryptocurrencies, and BNPL services, analyzing regulatory trends, market adoption, and risk management. My work in open banking enhances API integration, security, and user experience. Additionally, I develop IP strategies for fintech innovation and collaborate with industry leaders to shape policies and standards.
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Research Fellow (University College Cork) - Ireland
I have led FinTech research and funding initiatives at FintechNext, mentoring early-stage researchers and expanding technical expertise through R&D and commercial projects. My role includes research and mentoring in FinTech, alongside developing and commercializing three novel IPs with Fexco: a Tokenization Platform, and Forecasting Engine.
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Postdoctoral Researcher at Ryerson University - Canada
I have managed academic-industry collaborations with companies like Spotify and CIBC, leading projects in Blockchain, Cryptocurrency, AR, and Mixed Reality. Further, I have conducted data-driven workshops to help organizations maximize the value of their generated data.
