Dr. Mira A

University Instructor in Data Science

Overview of professor experience

This Professor is a Lead Data Scientist with deep expertise in Data Science, Artificial Intelligence (AI), and Machine Learning. With a rich background as both a university instructor and a researcher, She has contributed significantly to the field of AI, pioneering research that bridges theory and practical applications. In addition to her academic work, She has held influential roles in the industry, including Lead Data Scientist at Banque Misr and Neotic.ai, a cutting-edge company leveraging AI in the financial sector. She has also worked with Pro-P Group as a Business Process Improvement Engineer. Her entrepreneurial spirit led her to found Ai-Solutions, a startup focused on providing AI training and consultancy services for students and professionals looking to enhance their AI skills.

 

She holds a PhD in Computer Science, specializing in Artificial Intelligence and software architecture extraction, as well as a Master's in Software Engineering and a Bachelor's in Computer Science. She has been a keynote speaker at major international conferences across the USA, India, France, and Lebanon, sharing her insights on the latest advancements in AI and data science.

Keywords and topics for consulting and teaching

Data Science; Artificial Intelligence (AI); Machine Learning; Python; Data Analysis; Big Data; Algorithms; Data Visualization; Predictive Analytics; AI Training

Research Interests

1

Artificial Intelligence

2

Optimization algorithms

3

Time Series Predictions

4

Software Architectures

5

Software Architectures Extraction

Publication

1

Mahrous, Hany, Mostafa Fedawy, Mira Abboud, Ahmed Shaker, W. Fikry, and Michael Gad. "A Multi-Objective Genetic Algorithm Approach for Silicon Photonics Design." In Photonics, vol. 11, no. 1, p. 80. MDPI, 2024.

2

Mira Abboud, Charbel Nicolas, and Gilbert Habib. Distance Estimation Using LoRa and Neural Networks. International Conference on Machine Learning for Networking. Springer, Cham, 2022.

3

Mira Abboud, Hala Naja, Mourad Oussalah and Mohamad Dbouk. Towards using KDD for an interactive software architecture extraction. In the 18th IEEE International Conference on Information Reuse and Integration (IEEE IRI 2017), Aug 4-6, 2017, San Diego, CA, USA, pages 127-136.

Workshops and Conferences

1

Anthill Inside 2019, A conference on AI and Deep Learning, Taj M G Road, Bangalore, Bangalore, India, Nov 23, 2019.

3

The Data and eTransaction Forum, Badaro, Beirut, Lebanon, Aug 30, 2019.

2

KDD extension tool for software architecture extraction. In the International Conference on Software Engineering Research and Practice (SERP’17), Las Vegas, Nevada, USA, July 17-20, 2017.

Languages

English

French

ARABIC