معرفی
Alexandre Tolstenko is an Assistant Professor in the Computer Science & Innovation program within the Division of Information Technology & Sciences at Champlain College. He joined the institution in 2022 after a successful 15+ year career in the software industry.
His educational background includes a BS in Computer Engineering from UNICAMP and an MS in Computer Science from UFPI, both institutions in Brazil.
Dr. Tolstenko specializes in artificial intelligence, algorithms, smart contracts, blockchain technology, and game development. His research shows a strong focus on big data clustering algorithms, particularly DENCLUE variants and MapReduce frameworks. His work spans academic research and practical industry applications, with publications covering density-based clustering methods, sentiment analysis, natural language processing, and security topics.
His research publications demonstrate a progression from fundamental clustering algorithms to practical applications in big data analytics, with recent work focusing on distributed computing frameworks for handling large-scale data problems. The publications also show interdisciplinary work connecting computer science with applications in digital forensics, Arabic language processing, and faculty hiring systems.
- Unity Awards Finalist 2012
- Best paper award on SAE Aerodesign 2014
- Best paper award on international Coloproctology journal 2017
- Featured Startup on Innovativa Brazil 2018
With over 250 million product downloads across his industry career, Dr. Tolstenko brings substantial practical experience to his academic role, having served as developer, architect, and CTO in startup environments. His industry work includes implementing multiplayer networking for racing games, developing blockchain technology for NFT platforms, and porting game engines across multiple platforms.
He maintains active research and development through his personal website, GitHub repositories, and the InfiniBrains blog, focusing on game development resources and emerging technologies.
