ALI NADERI · AI RESEARCH ENGINEER
AI Research Engineer · Machine Learning Engineer · Data Scientist
Engineering intelligence
for the real world.
Building intelligent systems using deep learning, signal processing, and advanced machine learning techniques for real-world engineering applications.
01 / The researcher
Curiosity, applied
with precision.
I’m Ali Naderi, a Mechatronics Engineer specializing in Artificial Intelligence, Deep Learning, and intelligent condition monitoring systems.
More about my journey ↗My work sits at the intersection of data, machines, and meaningful outcomes. I translate complex signals and visual information into systems that help engineers understand, predict, and act.
EducationMaster of Science
in Mechatronics Engineering
in Mechatronics Engineering
Research interestsMachine Learning · Deep Neural Networks
Transformer Models · Signal Processing · Industrial AI · Computer Vision
Transformer Models · Signal Processing · Industrial AI · Computer Vision
02 / Capabilities
A stack built for
hard problems.
From raw vibration signals to robust deployed models, I work across the full research lifecycle.
Machine learning
Deep learning
Computer vision
Signal processing
03 / Selected work
Research that
moves the needle.
VIBRATION / 01
01 — INDUSTRIAL AIRESEARCH PROJECT
AI-Based Bearing Fault Diagnosis
Deep learning framework for intelligent fault diagnosis of rotating machinery using vibration signals.
MEDICAL IMAGING / 02
◎
02 — COMPUTER VISION
Brain Tumor Detection
Deep learning models for automated brain tumor classification from medical imagery.
FORECASTING / 03
+18.4%FORECAST SIGNAL
03 — SCIENTIFIC AI
Rice Production Forecasting
Machine learning based agricultural forecasting through time-series modeling and feature engineering.
AGRICULTURE / 04
☀
04 — INTELLIGENT SYSTEMS
Smart Farming AI
Intelligent agriculture analytics using machine learning to support better decisions.
VISION / 05
▦
05 — COMPUTER VISION
Traffic Density Estimation
Real-time traffic monitoring and density estimation powered by YOLO11 object detection.
CLINICAL AI / 06
♥
06 — DATA SCIENCE
Heart Disease Prediction
Clinical data science pipeline predicting cardiovascular risk from patient health records.
MEDICAL AI / 07
✚
07 — DEEP LEARNING
Oral Cancer Detection
AI-based medical image classification framework for early cancer detection.
04 / Research & publications
Signals into
understanding.
AI-based condition monitoring and fault detection in rotating machinery.
My research explores how scientific machine learning can make complex engineering systems more observable, explainable, and resilient.
- 01 Scientific research experience
- 02 Deep learning experiments
- 03 Industrial AI applications
- 04 Signal intelligence
AUTOMATED MULTICLASS BRAIN TUMOR CLASSIFICATION · 2025
Brain Tumor Classification using Deep Learning
Wiley Complexity · Open Access · DOI: 10.1155/cplx/1644859
PHYQ-TRANSNET · MANUSCRIPT SUBMITTED
Physics-Informed Deep Learning for Intelligent Fault Diagnosis
International Journal of Machine Tools and Manufacture · Publication details available on request
05 / Kaggle
Learning in
public.
KExperiments, competitions, and practical notebooks across machine learning, computer vision, and time series.
Visit profile ↗KAGGLE PROFILE alinaderi1
Machine LearningCompetitions
Computer VisionExperiments
Time-SeriesStudies
ResearchNotebooks
06 / Open source
Built in the
open.
07 / Experience
One continuous
investigation.
2020 — PRESENT
AI Research & Deep Learning Projects
Independent research and applied engineering across industrial AI, fault diagnosis, medical AI, and data science.
08 / Contact
Have a hard problem?
Let’s talk.
Open to research collaborations, engineering challenges, and conversations about intelligent systems.