Khalil Jahani

AI & Machine Learning Researcher | Lecturer | Digital Twin Specialist

Tehran, IR.

About

Highly accomplished PhD Candidate in Computer Science-Artificial Intelligence with extensive research and teaching experience, specializing in Federated Learning, predictive maintenance, and Digital Twin technologies. Proven ability to lead complex projects, develop innovative AI/ML solutions, and effectively educate at the university level. Seeking to leverage advanced technical expertise and research acumen in a challenging role within AI/ML research or advanced engineering.

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Work

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University of Tehran, Institute of Geophysics

Researcher

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Islamic Azad University Tehran North Branch

Lecturer

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Islamic Azad University Islamshahr Branch

Lecturer

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Islamic Azad University Electronics Branch

Lecturer

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Tehran Institute of Technology

Lecturer

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Education

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Computer Science - Artificial Intelligence

University of Tehran (UT)

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Information Technology engineering - Computer Networks

Iran University of Science and Technology (IUST)

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Information Technology engineering

Iran University of Science and Technology (IUST)

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Publications

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GlobalTECFormer: A Transformer-Based Architecture for High-Resolution Global TEC Forecasting Under Geomagnetic Disturbances.

Journal of Selected Topics in Applied Earth Observations and Remote Sensing

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Bridging Data Silos for Enhanced Predictive Maintenance: A Federated Learning Framework.

Journal of Artificial Intelligence, Applications, and Innovations

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Secure PDM: A novel Byzantine Fault Tolerant federated learning framework using a robust PCA-based anomaly detection approach.

International Journal of Industrial Electronics Control and Optimization

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A survey on data distribution challenges and solutions in vertical and horizontal federated learning.

Journal of Artificial Intelligence, Applications, and Innovations

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PPFL: Privacy-preserving techniques in federated learning.

Journal of Artificial Intelligence, Applications, and Innovations

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Considerations for using IEEE 802.3 Ethernet network architecture for data transmission in aircraft.

19th International Conference of the Iranian Aerospace Society (AERO2021)

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Energy-Save in data centers with virtual machine migration management.

Academic Research

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Languages

English

Persian

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Certificates

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Aircraft License Engineering (AML – CAT B2.) Electric & Electronic

International Aviation Organization (ICAO)-EASA / Civil Aviation Organization

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Aviation Certificate (EASA): PART66, PART21, PART145, CS25, CS27, CS29

EASA / Civil Aviation Organization

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Aircraft License Engineering (AML – CAT B1.) Airframe & Powerplant

International Aviation Organization (ICAO)-EASA / Civil Aviation Organization

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Skills

Artificial Intelligence & Machine Learning

Pytorch, TensorFlow, Keras, Federated Learning, Predictive Maintenance, Anomaly Detection, Digital Twins, AI, ML

Programming Languages

Python, MATLAB

Data Management & Databases

SQL Server

Cloud Platforms

Azure Platform

Computer Science Fundamentals

Computer Networks, Computer Graphics, Computer Simulation, Multimedia, Virtual Machine Management, IEEE 802.3 Ethernet

Robotics

Robotics

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