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Dr. Charbel Boustany

Summary :

Results-driven academic and administrative professional with a PhD in Computer Science and over a decade of teaching, research, and leadership experience. My primary research focus is on Artificial Intelligence (AI) and Machine Learning (ML), particularly their applications in data mining, intelligent systems, and cloud-native data pipeline optimizations. Skilled in both academic leadership and hands-on mentoring, I have successfully guided award-winning senior design projects and taught a wide range of core computer science and AI-related courses. I bring a unique blend of strategic vision, educational expertise, and research excellence to foster innovation and prepare students for real-world challenges. Experience

Dr-Charbel-Boustany

Campus Director

American University of Science and Technology • Zahle, Bekaa

10/2015 – 09/2025 (currently switching role to Head of Students Affairs – Zahle Campus)

  • Planned, designed, evaluated, and revised curricula, course content, materials, and methods of instruction.
  • Led a team of 64 faculty members and 15 staff members, achieving a 52.74% increase in new student registrations and a 95% retention rate.
  • Negotiated, implemented, and successfully passed international accreditation processes (ABET, IACBE, EVALAG).
  • Collaborated with the business community to enhance academic programs and expand internship opportunities.
  • Supervised undergraduate  and  graduate  teaching,  internship,  and  research  work  while  maintaining  course

websites.

  • Served on academic committees addressing institutional policies and departmental matters.
  • Participated actively in student recruitment, registration, and placement, as well as campus and community events.
  • Prepared and delivered lectures to undergraduate and graduate students in multiple disciplines.
  • Conducted research projects and published in professional journals

  • Computer Science Department Coordinator

    American University of Science and Technology • Zahle, Bekaa

    09/2010 – 09/2015

    • Prepared and delivered lectures in programming, data structures, and software design.
    • Evaluated and graded student work, supervised labs, and moderated classroom discussions.
    • Compiled, administered, and graded examinations.
    • Directed research for graduate students and maintained instructional computer equipment.
    • Served on academic committees and participated in professional conferences and campus activities.

  • Academic Teaching & Mentorship Profile

     

    Research Focus

    My primary research interests lie in Artificial Intelligence (AI) and Machine Learning (ML), with emphasis on practical applications such as data mining, intelligent systems, and AI-driven solutions to real-world problems. My PhD thesis, titled “Data Pipeline Optimizations in Their Cloud Native State”, further reflects my commitment to advancing research at the intersection of AI, data science, and cloud computing.

    Senior Design Projects Supervised (Sample from the last two years)

    Academic Years 2023-2024–2025 (Two award-winning projects in Project Expos 2025)

     

    • SkillXchange: Revolutionizing Employment Opportunities Through Digital Innovation
    • PharmaVision: AI-Powered Drug Identification and Availability Finder
    • Xra.i Mobilize: AI-Powered Bone Cancer Detection with Smart Bed Integration
    • Smart Wardrobe: A Weather- and Mood-Driven Outfit Recommendation App
    • PawPal: A Comprehensive Pet Health and Wellness Management App
    • Keystrokes ASCA: Acoustic Side-Channel Attack Analysis
    • WanderWings: Discover, Compare, and Fly All-in-One Flight Booking Solution
    • SnapLeaf: The Plant Paparazzi – Automated Plant Identification and Disorder Detection
    • World of Magic: An Immersive Game Featuring the Seven Wonders of the World

Selected Courses Taught (Over more than 15 Years)

    • Artificial Intelligence & Games (CSI 410/411)
    • Machine Learning and Data Mining (CSI 469)
    • Practical Approach to Data Visualization (CSI 429)
    • Introduction to Data Science (CSI 419)
    • Big Data Analytics (CSI 479)
    • Compiler Design (CSI 450)
    • System Security (CSI 444)
    • Operating Systems (CSI 402)
    • Analysis of Algorithms (CSI 401)
    • Data Structures (CSI 319)
    • Theory of Computation (CSI 301)
    • Computer Science Senior Project Proposal and Design (CSI 497 / 499)

Summary Statement

Through more than a decade of teaching and mentorship, I have guided numerous senior students toward building innovative, AI-based solutions. My role as an educator integrates cutting-edge AI/ML research with applied learning, fostering both technical expertise and critical thinking

Skills

    • Organizational and Management Skills
    • Technological Proficiency
    • Adaptability
    • Leadership and Strategic Planning
    • Deep Understanding of Higher Education Policies
    • Analytical and Strategic Thinking
    • Problem Solving
    • Effective Communication and Public Speaking

Policy Adherence

  • Mentorship and Talent Development

•  Critical Thinking, Innovation, Crisis Management

  • Ph.D in Computer Science EU, Paris, France
  • MS in Computer Sciene, Quebec University
  • BS in Computer Science, State University of New York
  • More than 14 years of academic experience
  • Oracle Database Licensing Course
  • ICDL
  • IT Audit Fundamentals- IT General Controls -ITGC
  • ML applied using Python
  • Artificial Intelligence for Games
  • Theory of Information and Computation
  • Data Science and Data Analytics
  • Practical Approach to Data Science and Data Visualization
  • Introduction to Computer Science
  • Data Structures and Algorithms
  • Programming in Languages like Python, Java, C++, etc.
  • Databases and Database Management Systems
  • Operating Systems
  • Computer Organization and Architecture
  • Software Engineering
  • Web Development
  • Artificial Intelligence
  • Machine Learning
  • Computer Graphics
  • Computer Networks
  • Cybersecurity
  • Human-Computer Interaction
  • Mobile App Development
  • Cloud Computing
  • Parallel and Distributed Computing
  • Natural Language Processing
  • Compiler Design
  • Digital Logic and Design
  • Game Development
  • Ethical Hacking and Penetration Testing
  • Software Testing and Quality Assurance
  • Computer Vision
  • Computational Biology
  • Bioinformatic

  • Research and Publications:

  • Boustany C. Wehbe M, Comparative Analysis of Image Fraud Detection: Convolutional Neural Networks (CNNs) vs. Support Vector Machines (SVMs) with Histogram of Oriented Gradients (HOG).

  • REM 2024, paper to be presented end of September 2024.

  • Boustany C, Razzouk J and Farah E, Harnessing Machine Learning Algorithms in Universal Electronic Payments  2022 1st International Conference on Informatics (ICI) / Date of Conference: 14-16 April 2022 / Date Added to IEEE Xplore: 07 June 2022 / ISBN Information:

  • DOI: 10.1109/ICI53355.2022.9786923

    Publisher: IEEE / Conference Location: Noida, India

  • Boustany C and Abou Haidar G, high Perception Intrusion Detection Systems Using Neural Networks, in proceedings of: the 8-th International Workshop on Intelligent Informatics and Natural Inspired Computing (IINIC-2015), together with CISIS-2015. Blumenau, Brazil.

  • Boustany C and Lakhsasi A, VLSI thermal stress monitoring using GDS method In proceeding of: Application -specific Systems, Architectures and Processors, 2007. ASAP. IEEE International Conf. Ontario, CANADA.

  • Lakhsasi A, Boustany C and Bougataya M, Thermal stress

    monitoring using gradient direction sensors, in proceeding of: Electrical and Computer Engineering, 2008. CCECE 2008. Canadian Conference on Embedded Systems.

  • Boustany C and Zgheib W, Remote Screenshot Application using Android Smart Phones, Paper Presented and Published in proceeding of the LAAS 20th International Scientific Conference, 2014.

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