Maksi Kutrolli
Unit: John Jay College of Criminal Justice, Mathematics and Computer Science
Title: Faculty
Research Expertise
My research focuses on computer science, machine learning, and cybersecurity, with an emphasis on natural language processing (NLP). During my Master’s studies, I worked on projects like using transfer learning for spam detection, fine-tuning language models, and applying reinforcement learning in recommendation systems. I also implemented techniques like dimensional reduction, neural networks, and model stacking to solve real-world problems with complex datasets.
In cybersecurity, I developed practical tools such as firewalls and explored cryptographic techniques like the ElGamal Digital Signature. These projects show my ability to turn research into solutions for real-world challenges.
My professional background includes working with databases, designing multi-threaded applications, and building scalable software systems. Teaching advanced data structures and object-oriented programming has also allowed me to share my knowledge and guide students through challenging concepts.
As a PhD candidate, I am exploring topics like adversarial learning, privacy-preserving AI, and new uses of NLP in cybersecurity. My goal is to create innovative solutions for machine learning and cybersecurity while working with others to advance the field.
Areas of Expertise/Keywords
Machine Learning, Natural Language Processing, Digital Forensics, Cybersecurity, Reinforcement Learning, Transfer Learning, Adversarial Learning, Privacy-Preserving AI, Neural Networks, Dimensional Reduction, Model Stacking, Database Systems, Multi-threaded Applications, Scalable Software Design, Cryptography, Firewalls, Data Analysis, Predictive Modeling, Object-Oriented Programming, Advanced Data Structures.
