Work with thought leaders and academic experts from American University of Beirut

As a Mechanical Engineer with a robust background in mechatronics, dual master's degrees in mechanical and mechatronics engineering, and a diploma in computer science, I am deeply passionate about data science and artificial intelligence. With less than one year of experience as a consultant in data science and energy analytics, I have honed my skills in data analysis, manipulation, and visualization using Python (Pandas, NumPy, Matplotlib, Plotly). My proficiency extends to developing simulation models using Python and MATLAB, and conducting statistical analysis using SPSS and MATLAB. I am adept at machine learning design using Octave and Python. In addition, I excel in developing desktop applications and graphical user interfaces (GUIs) using Visual Basic, C#, and MATLAB GUI. My capabilities also extend to web development using Python (Django, Flask), PHP, JavaScript, HTML, and CSS. I possess mechanical design skills utilizing AutoCAD and SolidWorks, contributing to various modeling and design projects. With over four years of research experience in mechatronics, data science, aerodynamics, flight dynamics, and artificial intelligence, I have contributed significantly to diverse areas, including the development of flight simulation codes, control systems design, implementation of localization and mapping algorithms, machine learning-based text-to-speech systems, AI-based load forecasting, uncertainty quantification methods, and analysis of different languages in terms of sound generation. Currently pursuing a Ph.D. in Process Modeling and Artificial Intelligence at the University of Granada, Spain, I am dedicated to expanding my expertise in applying Process Modeling and AI to address real-world engineering challenges as a lead researcher.

Vartenie Aramali holds a PhD in Civil, Environmental, and Sustainable Engineering and has extensive experience in project and construction management. She has managed large-scale and complex projects worth billions of dollars across the power, oil, gas, and renewable energy sectors. Vartenie’s skills in project management, data analysis, machine learning, and AI have been applied in both academic and professional contexts. She has mentored students for several years as a faculty member and assistant professor.

MBA graduate from Vlerick Business School-Brussels, focused on gaining essential business skills, particularly in strategy, leadership, entrepreneurship, and digital transformation. Experienced finance professional and CFA Charterholder with 9 years of banking experience, demonstrating expertise in branch operations and client relations. Demonstrated success in navigating complex financial environments and contributing to the strategic growth of financial institutions.