CV

Salman Abdullah Alsalman

AI Consultant and Academic Professional

salman.a.alsalman@gmail.com
Riyadh, Saudi Arabia, SA

Summary

Lecturer in Computer Science at Prince Sattam bin Abdulaziz University and AI consultant specializing in artificial intelligence, machine learning, deep learning, and computer vision. Experienced in academic teaching, student mentoring, AI instruction, IT consulting, and applied research. Passionate about using AI to support education, decision-making, healthcare applications, and practical technology solutions.

Education

  • Computer Science
    2019-12-31
    San Diego State University
  • Computer Science
    2012-12-31
    Imam Muhammad Bin Saud Islamic University
    Courses: Graduated with Second Honors

Work Experience

  • University Lecturer
    2020-01-01 -
    Full-time lecturer in the Department of Computer Science at the College of Computer Engineering and Sciences.
    • Teach undergraduate courses in programming, data structures, algorithms, and web applications.
    • Mentor students in academic projects and research within the Computer Science department.
    • Contribute to academic committees including accreditation, student activities, and alumni-related initiatives.
  • Teaching Assistant
    2012-11-01 - 2019-12-31
    Supported course delivery and student learning in computer science.
    • Assisted students with foundational and advanced concepts in computer science.
    • Supported teaching activities, tutorials, labs, and practical programming instruction.
    • Participated in research collaboration with faculty members in the Computer Science department.
  • AI Instructor for SDAIA GDP Program
    2024-01-01 - 2024-02-29
    Contract AI instructor for the SDAIA GDP Program.
    • Delivered sessions on Python programming, neural networks, large language models, and prompt engineering.
    • Guided students in neural network projects and AI-related learning activities.
    • Helped students prepare for the PCAP certification.
  • IT Consultant
    2020-08-01 - 2021-07-31
    Contract IT consultant supporting technology projects and strategic decisions.
    • Managed IT projects with a focus on healthcare application development.
    • Advised on strategic technology decisions and project planning.
    • Coordinated communication between developers, designers, and clients to support successful project delivery.
  • Software Developer Intern
    2011-07-01 - 2011-09-30
    Software development internship in Elm’s Innovation Unit.
    • Analyzed, designed, and developed a content management system using J2EE.
    • Gained practical experience in enterprise software development and system design.
  • Computer Lab Assistant
    2010-09-01 - 2011-08-31
    Part-time computer lab assistant at the College of Computer Science and Information Systems.
    • Assisted students with programming problems and practical computer science exercises.
    • Provided additional lectures and technical support to strengthen students’ programming skills.
  • IT Assistant Intern
    2009-07-01 - 2009-09-30
    IT support internship.
    • Responded to users’ IT support requests onsite and remotely.
    • Installed and configured IT equipment including printers, monitors, scanners, network cables, and modems.

Skills

Artificial Intelligence

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Natural Language Processing
  • Large Language Models
  • Prompt Engineering

Data and Applied AI

  • Data Analysis
  • Predictive Modeling
  • Medical Image Analysis
  • AI for Business
  • AI Strategy
  • Decision-Making Systems

Teaching and Academic Practice

  • Programming Education
  • Student Mentoring
  • Curriculum Support
  • Academic Projects
  • Research Collaboration

Professional Skills

  • Leadership
  • Small Business Consultation
  • Strategic Planning
  • Project Management
  • Client Communication

Publications

  • Embedded real-time bilingual ALPR
    2015
    2015 International Conference on Communications, Signal Processing, and Applications (ICCSPA)
    Conference publication on embedded real-time bilingual automatic license plate recognition. Authors: Ahmed Biyabani, Salman A. Al-Salman, and Khalid S. Alkhalaf.

Teaching

  • Programming
    2020
    Prince Sattam bin Abdulaziz University, Department of Computer Science
    Role: University Lecturer
    Undergraduate teaching in programming concepts, problem solving, and practical coding skills.
  • Data Structures
    2020
    Prince Sattam bin Abdulaziz University, Department of Computer Science
    Role: University Lecturer
    Undergraduate teaching focused on data structures, algorithmic thinking, and implementation skills.
  • Algorithms
    2020
    Prince Sattam bin Abdulaziz University, Department of Computer Science
    Role: University Lecturer
    Undergraduate teaching in algorithm design, analysis, and computational problem solving.
  • Web Applications
    2020
    Prince Sattam bin Abdulaziz University, Department of Computer Science
    Role: University Lecturer
    Undergraduate teaching related to web application development and applied computing.
  • Python Programming, Neural Networks, LLMs, and Prompt Engineering
    2024
    Tuwaiq Academy, SDAIA GDP Program
    Role: AI Instructor
    Delivered AI-focused training sessions and guided students in neural network projects and PCAP preparation.

Portfolio

  • Malaria Cell Detection using Curriculum Learning and Faster R-CNN
    Research project
    Designed and implemented a deep learning pipeline using Faster R-CNN with Detectron2 and curriculum learning strategies to detect malaria-infected cells in microscope images. The project achieved improved detection performance, especially on low-cost microscope images.
  • Large-Scale Analysis of Citation Bias
    Research project
    Developed a predictive model to assess citation likelihood based on demographic data and explore patterns related to citation behavior.
  • Efficient Liver Disease Prediction
    Machine learning project
    Built machine learning classifiers for liver disease prediction using patient biomarker data.
  • Predicting Safety Risks from Street View Photos
    Computer vision project
    Applied image processing and computer vision techniques to predict crime-related safety risks using street view images.
  • AI Consulting and Strategic Technology Support
    Professional practice
    Supported organizations and small businesses in understanding AI opportunities, planning AI adoption, and aligning technical solutions with business needs.

Languages

  • Arabic
    Native / Fluent
  • English
    Full Professional Proficiency

Interests

  • Research Interests
    Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Medical Image Analysis, Data Analysis, AI for Business, Technology-Enhanced Education