Mohammadreza Kouchaki

Ai Ml Solutions -research Assistant @Mississippi State University

Austin, TX, US
MOBILE NUMBERS
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WORK HISTORY

Sep 2021 — Present

Ai Ml Solutions -research Assistant @Mississippi State University

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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

N/A

Sharif University of Technology

Master’s Degree

N/A

Urmia University

Bachelor’s Degree

N/A

Allameh

Diploma

2021

Mississippi State University

Computer Science

SKILLS

Microwave Planning & OptimizationBssOptimizationMicrowaveIp2gTransmissionGsm3gTelecommunicationsWimaxUmts

ABOUT MOHAMMADREZA KOUCHAKI

AI/ML Engineer and Computer Science graduate building machine learning systems…

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Mohammadreza Kouchaki — Ai Ml Solutions -research Assistant at Mississippi State University in Austin, TX, US | Unifers