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I am an experienced physics professor and research scientist with a strong background in computational physics, data science, and theoretical physics. Over the past decade, I have worked in both academic and industry settings, specializing in developing scientific software, machine learning applications, and advanced computational models. My work often involves interdisciplinary research, solving problems in areas like power systems engineering, biological physics, and theoretical physics. I enjoy collaborating across disciplines to apply rigorous computational methods to real-world engineering and scientific challenges, and I am passionate about mentoring students and building robust software. I have led projects in grid management and renewable energy forecasting, and I continue to publish in peer-reviewed journals while exploring new applications in energy systems, health data, and cosmology.…I am an experienced physics professor and research scientist with a strong background in computational physics, data science, and theoretical physics. Over the past decade, I have worked in both academic and industry settings, specializing in developing scientific software, machine learning applications, and advanced computational models. My work often involves interdisciplinary research, solving problems in areas like power systems engineering, biological physics, and theoretical physics. I enjoy collaborating across disciplines to apply rigorous computational methods to real-world engineering and scientific challenges, and I am passionate about mentoring students and building robust software. I have led projects in grid management and renewable energy forecasting, and I continue to publish in peer-reviewed journals while exploring new applications in energy systems, health data, and cosmology.

Emre Dil

Data Scientist, Web Developer, Full Stack Developer, +2

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I am an experienced physics professor and research scientist with a strong background in computational physics, data science, and theoretical physics. Over the past decade, I have worked in both academic and industry settings, specializing in developing scientific software, machine learning applications, and advanced computational models. My work often involves interdisciplinary research, solving problems in areas like power systems engineering, biological physics, and theoretical physics. I enjoy collaborating across disciplines to apply rigorous computational methods to real-world engineering and scientific challenges, and I am passionate about mentoring students and building robust software. I have led projects in grid management and renewable energy forecasting, and I continue to publish in peer-reviewed journals while exploring new applications in energy systems, health data, and cosmology.…I am an experienced physics professor and research scientist with a strong background in computational physics, data science, and theoretical physics. Over the past decade, I have worked in both academic and industry settings, specializing in developing scientific software, machine learning applications, and advanced computational models. My work often involves interdisciplinary research, solving problems in areas like power systems engineering, biological physics, and theoretical physics. I enjoy collaborating across disciplines to apply rigorous computational methods to real-world engineering and scientific challenges, and I am passionate about mentoring students and building robust software. I have led projects in grid management and renewable energy forecasting, and I continue to publish in peer-reviewed journals while exploring new applications in energy systems, health data, and cosmology.

Available to hire

I am an experienced physics professor and research scientist with a strong background in computational physics, data science, and theoretical physics. Over the past decade, I have worked in both academic and industry settings, specializing in developing scientific software, machine learning applications, and advanced computational models. My work often involves interdisciplinary research, solving problems in areas like power systems engineering, biological physics, and theoretical physics.

I enjoy collaborating across disciplines to apply rigorous computational methods to real-world engineering and scientific challenges, and I am passionate about mentoring students and building robust software. I have led projects in grid management and renewable energy forecasting, and I continue to publish in peer-reviewed journals while exploring new applications in energy systems, health data, and cosmology.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Software Developer at Adaptive Grid Intelligence Software (AGIS) Project, Laval, Quebec, Canada (Self Employed)

January 1, 2025 - Present

Designed and developed AGIS, a software prototype to improve utility grid management by predicting renewable energy output, optimizing microgrid performance, and analyzing equipment reliability. Incorporated quantum-inspired algorithms to model complex interactions between renewable sources, energy storage, and traditional power systems. Built real-time models using Python (NumPy, Pandas, TensorFlow) to process grid sensor data, focusing on wind power forecasts, distributed energy resources (DERs), and thermal/electromagnetic effects. Created a dashboard with Dash and Plotly to display power predictions, voltage settings, and failure risks, aimed at helping utilities reduce outages and energy losses. Currently refining the prototype and seeking collaboration or funding to test with real utility data and expand its capabilities.

Senior Research Scientist at SES & Technologies, Laval, Quebec, Canada

February 1, 2024 - January 31, 2025

Conducted advanced research in power system engineering, focusing on electromagnetic interference, grounding, and lightning. Developed scientific software in Fortran to improve simulation accuracy and analyze complex power systems. Worked with multidisciplinary teams to integrate computational methods into real-world engineering applications. Improved algorithms for more precise and reliable computations in industrial settings.

Data Science Research Assistant at Dalhousie University, Halifax, Nova Scotia, Canada

January 1, 2022 - January 31, 2024

Conducted interdisciplinary research in computational biological physics, applying data science and machine learning to health data analysis and aging research. Designed statistical models and simulations in Python to analyze biological and physical systems. Assisted in undergraduate teaching, provided departmental support, and helped with exam preparation.

Visiting & Postdoctoral Researcher at Hacettepe University, Ankara, Turkey

January 1, 2020 - December 31, 2021

January 2020 – December 2021 & September 2017 – September 2018: Conducted theoretical and computational research in astrophysics and cosmology. Investigated quantum group particles and their applications in cosmological models. Published findings that connected theoretical physics with observational cosmological data in peer-reviewed journals.

Associate & Assistant Professor at Beykent University, Istanbul, Turkey

September 1, 2018 - December 31, 2021

Designed and taught undergraduate courses in physics and mathematics. Mentored students on their research projects. Conducted research on quantum group particle applications in physics.

Visiting & Postdoctoral Researcher at Hacettepe University, Ankara, Turkey

September 1, 2017 - September 30, 2018

September 2017 – September 2018: Conducted theoretical and computational research in astrophysics and cosmology. Investigated quantum group particles and their applications in cosmological models.

Research Assistant at Sinop University & Sakarya University, Turkey

February 1, 2010 - September 30, 2018

Conducted research in statistical mechanics of quantum group particles and their astrophysical applications. Assisted in teaching laboratory and theoretical physics courses.