2025 - today: From Unmatchable to Twin: An XAI Framework for Causal Matching
Tasks:
Developing a novel Explainable AI (XAI) framework to perform robust causal matching in observational medical datasets, a core challenge in Human-Centered AI for healthcare.
Skills:
Causal Inference, Explainable AI, Matching Algorithms, Clinical Data Analysis, Python
2025 - 2025: Rendering on Cause, Not Effect: A Causal Inference Model for Motion-Aware VR
Tasks:
A causal network on re-rendering, an application of AI in a real-time Human-Computer Interaction loop
Skills:
Causal Inference, Predictive Modeling, Causal AI, Python, Image Data set
2025 - 2025: Tiny Neural Approximators for Real-time Rendering Decisions
Tasks:
Tiny Neural Approximators for Real-time Rendering Decisions (Future Technologies Conference)
Skills:
Deep Learning, Python, TensorFlow/PyTorch, Image Data set
2025 - 2025: Causal Insights from Pixels, systematic Review
Tasks:
Architected to extract causal relationships from image data, grounded in a systematic literature review.
Skills:
Causal Inference, Computer Vision, Statistical Modeling, Image Data Set
2023 - 2023: Causal Inference for Robust Decision-Making in Operations Management
Tasks:
Designed a framework ofcausal inference techniques to optimize decision-making under uncertainty.
Skills:
Causal Inference, Decision Theory, Optimization, Statistical Modeling
2023 - 2023: Neural Network Applications in Pharmaceutical Manufacturing, Systematic Review
Customer: Journal of Intelligent Manufacturing
Tasks:
Conducted a large-scale systematic literature review to synthesize trends in drug manufacturing.
Skills:
Deep Learning, Process Optimization, AI Application in drug Manufacturing Process
2022 - 2022: Comparative Analysis of Breast Cancer Detection using Supervised ML
Tasks:
Engineered and compared multiple supervised machine learning models for a high-stakes classification problem using real medical data
Skills:
Supervised Machine Learning, Classification Models, Python, Scikit-learn, Image Data set
2021 - 2021: Statistical Analysis of Hungarian COVID-19 Victims
Customer: Journal of Medical Virology
Tasks:
Performed a large-scale statistical analysis to identify key patterns in observational health data.
Skills:
Statistical Analysis, clustering, VBA
2020 - 2020: Credit Rating Agency's Response to Covid-19
Customer: New Dynamics in Banking and Finance Journal
Tasks:
Analyzed the behavior of credit rating agencies during a COVID-19 crisis
Skills:
Data Analysis, Financial Analysis, Classification (Decision-tree), LAD
2021 - 2021: Reconstruction Rating Model of Sovereign Debt
Tasks:
Reconstruction Rating Model of Sovereign Debt (Mathematical Problems in Engineering)
Skills:
Optimization Algorithms, Risk Assessment, ML, Financial and Predictive Modeling
2017 - 2022
Industrial Engineering
PhD
Eastern Mediterranean University, Cyprus
2007 - 2010
Accounting & Finance
Master
University of Hamedan, Iran
2002 - 2006
Accounting & Finance
Bachelor
Tabriz University, Iran
CERTIFICATIONS
Profile
Ph.D. in Industrial Engineering with a research program focused on Machine Learning andCausal Inference. I have direct, published experience in analyzing clinical data and Human-Centered AI, with novel applications of Virtual Reality (VR). An experienced researcher anduniversity instructor with strong mentorship skills.
RESEARCH INTEREST:
Machine Learning, Causal Inference, Human-Centered AI
TECHNICAL SKILLS
BI Visualization & Languages:
ML & Data Science:
Core Competencies:
Engineering:
TEACHING INTERESTS
Core Courses:
Work Expeience
2024 - today
Role: Machine Learning & Data Science Lecturer
Customer: IU International University of Applied Sciences, Germany
Tasks:
2022 - 2024
Role: Project Lead, Data Analysis Training Program
Customer: Brainnest & Kreativness Companies, Germany
Tasks:
2020 - 2024
Role: Senior Instructor & ML Project Lead
Customer: Eastern Mediterranean University, Cyprus
Tasks:
2017 - 2022
Role: Research Assistant, Industrial & Management Engineering
Customer: Eastern Mediterranean University, Cyprus
Tasks:
2013 - 2017
Role: Project Manager, Inventory & Financial Analysis
Customer: Koshk Ara Company, Iran
Tasks:
Managed inventory levels across multiple
branches, performing quantitative analysis to optimize stock and reduce
carrying costs.
2009 - 2013
Role: Customer Service Consultant
Customer: ENBANK, Iran
Tasks:
Provided financial product consultations and resolved customer inquiries in a fast-paced banking environment.
2025 - today: From Unmatchable to Twin: An XAI Framework for Causal Matching
Tasks:
Developing a novel Explainable AI (XAI) framework to perform robust causal matching in observational medical datasets, a core challenge in Human-Centered AI for healthcare.
Skills:
Causal Inference, Explainable AI, Matching Algorithms, Clinical Data Analysis, Python
2025 - 2025: Rendering on Cause, Not Effect: A Causal Inference Model for Motion-Aware VR
Tasks:
A causal network on re-rendering, an application of AI in a real-time Human-Computer Interaction loop
Skills:
Causal Inference, Predictive Modeling, Causal AI, Python, Image Data set
2025 - 2025: Tiny Neural Approximators for Real-time Rendering Decisions
Tasks:
Tiny Neural Approximators for Real-time Rendering Decisions (Future Technologies Conference)
Skills:
Deep Learning, Python, TensorFlow/PyTorch, Image Data set
2025 - 2025: Causal Insights from Pixels, systematic Review
Tasks:
Architected to extract causal relationships from image data, grounded in a systematic literature review.
Skills:
Causal Inference, Computer Vision, Statistical Modeling, Image Data Set
2023 - 2023: Causal Inference for Robust Decision-Making in Operations Management
Tasks:
Designed a framework ofcausal inference techniques to optimize decision-making under uncertainty.
Skills:
Causal Inference, Decision Theory, Optimization, Statistical Modeling
2023 - 2023: Neural Network Applications in Pharmaceutical Manufacturing, Systematic Review
Customer: Journal of Intelligent Manufacturing
Tasks:
Conducted a large-scale systematic literature review to synthesize trends in drug manufacturing.
Skills:
Deep Learning, Process Optimization, AI Application in drug Manufacturing Process
2022 - 2022: Comparative Analysis of Breast Cancer Detection using Supervised ML
Tasks:
Engineered and compared multiple supervised machine learning models for a high-stakes classification problem using real medical data
Skills:
Supervised Machine Learning, Classification Models, Python, Scikit-learn, Image Data set
2021 - 2021: Statistical Analysis of Hungarian COVID-19 Victims
Customer: Journal of Medical Virology
Tasks:
Performed a large-scale statistical analysis to identify key patterns in observational health data.
Skills:
Statistical Analysis, clustering, VBA
2020 - 2020: Credit Rating Agency's Response to Covid-19
Customer: New Dynamics in Banking and Finance Journal
Tasks:
Analyzed the behavior of credit rating agencies during a COVID-19 crisis
Skills:
Data Analysis, Financial Analysis, Classification (Decision-tree), LAD
2021 - 2021: Reconstruction Rating Model of Sovereign Debt
Tasks:
Reconstruction Rating Model of Sovereign Debt (Mathematical Problems in Engineering)
Skills:
Optimization Algorithms, Risk Assessment, ML, Financial and Predictive Modeling
2017 - 2022
Industrial Engineering
PhD
Eastern Mediterranean University, Cyprus
2007 - 2010
Accounting & Finance
Master
University of Hamedan, Iran
2002 - 2006
Accounting & Finance
Bachelor
Tabriz University, Iran
CERTIFICATIONS
Profile
Ph.D. in Industrial Engineering with a research program focused on Machine Learning andCausal Inference. I have direct, published experience in analyzing clinical data and Human-Centered AI, with novel applications of Virtual Reality (VR). An experienced researcher anduniversity instructor with strong mentorship skills.
RESEARCH INTEREST:
Machine Learning, Causal Inference, Human-Centered AI
TECHNICAL SKILLS
BI Visualization & Languages:
ML & Data Science:
Core Competencies:
Engineering:
TEACHING INTERESTS
Core Courses:
Work Expeience
2024 - today
Role: Machine Learning & Data Science Lecturer
Customer: IU International University of Applied Sciences, Germany
Tasks:
2022 - 2024
Role: Project Lead, Data Analysis Training Program
Customer: Brainnest & Kreativness Companies, Germany
Tasks:
2020 - 2024
Role: Senior Instructor & ML Project Lead
Customer: Eastern Mediterranean University, Cyprus
Tasks:
2017 - 2022
Role: Research Assistant, Industrial & Management Engineering
Customer: Eastern Mediterranean University, Cyprus
Tasks:
2013 - 2017
Role: Project Manager, Inventory & Financial Analysis
Customer: Koshk Ara Company, Iran
Tasks:
Managed inventory levels across multiple
branches, performing quantitative analysis to optimize stock and reduce
carrying costs.
2009 - 2013
Role: Customer Service Consultant
Customer: ENBANK, Iran
Tasks:
Provided financial product consultations and resolved customer inquiries in a fast-paced banking environment.