Mohammadreza Kouchaki
Ai Ml Solutions -research Assistant @Mississippi State University
Signup · Get unlimited contacts
WORK HISTORY
Ai Ml Solutions -research Assistant @Mississippi State University
US
As part of AI/ML solutions, I conducted data collection, preprocessing, and exploratory analysis to uncover trends and insights. I built and evaluated ML models, enhanced performance through optimization techniques, and delivered visualizations to effectively communicate findings. Collaborated with cross-functional teams to address complex challenges and deliver impactful solutions.• Developed a customized multimodal Graph-LLM framework, integrating advanced Graph Transformers for relational reasoning and Text Transformers for semantic analysis, with an enhanced cross-modal attention fusion layer to detect bots in large social media networks.• Designed reinforcement learning models to optimize scheduling and load balancing in Kubernetes-based container orchestration for O-RAN, dynamically enhancing resource allocation to minimize latency and maximize throughput in distributed computing environments.• Implemented a real-time anomaly detection system using custom Transformers and RNN Autoencoders, reducing false positives in network intrusion detection and leveraging GANs and VAEs to generate synthetic data for time-series big data analysis.• Developed a federated neuroevolution framework to improve the robustness and efficiency of Deep Reinforcement Learning (DRL) xApps in O-RAN, integrating evolutionary algorithms for policy optimization and leveraging parallel and distributed computation for scalable resource allocation.• Designed and developed an O-RAN Performance Analyzer, a testbed platform for evaluating ML-based xApp performance in O-RAN networks, facilitating in-depth analysis of AI-driven resource allocation and security mechanisms.• Investigated sentiment analysis enhancement for churn prediction by leveraging BERT for text embedding, followed by K-means clustering and Random Forest for risk classification.• Implemented fraud detection using regression models, decision trees, and deep learning, utilizing SMOTE and GANs.
EDUCATION
Sharif University of Technology
Master’s Degree
Urmia University
Bachelor’s Degree
Allameh
Diploma
Mississippi State University
Computer Science
SKILLS
ABOUT MOHAMMADREZA KOUCHAKI
AI/ML Engineer and Computer Science graduate building machine learning systems…
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.