Salman Abdullah Alsalman

AI Consultant, Academic Professional, and Researcher
Riyadh, Saudi Arabia

Summary

AI consultant, lecturer, and researcher specializing in artificial intelligence, machine learning, deep learning, computer vision, and applied AI systems. My work bridges academia, research, and practical AI adoption, with interests in intelligent image analysis, remote sensing change detection, medical image analysis, and data-driven decision-making. I have experience teaching computer science courses, mentoring student projects, contributing to peer-reviewed research, and supporting organizations in strategic planning, project management, and AI-related initiatives.

Professional Experience

Prince Sattam bin Abdulaziz University

Nov 2012 – Present

University Lecturer (Full Time)
Jan 2020 – Present

Lead courses in Programming, Data Structures, Algorithms, Discrete Mathematics, and Web Applications.
Contribute to committees, including Accreditation, Student Activities, and Alumni.
Mentor students in academic projects and research within the Computer Science department.

Teaching Assistant
Nov 2012 – Dec 2019

Supported course delivery, assisting students with foundational and advanced concepts in computer science.
Engaged in research collaboration with professors in the Computer Science department.

Tuwaiq Academy

AI Instructor for SDAIA GDP Program (Contractor)
Jan 2024 – Feb 2024

Conducted sessions on Python programming, neural networks, and large language models.
Guided students in prompt engineering and neural network projects, preparing them for PCAP certification.

Smartech Company

IT Consultant (Contractor)
Aug 2020 – Jul 2021

Managed IT projects and advised on strategic decisions, with a focus on app development for healthcare.
Coordinated communication between developers, designers, and clients to ensure project success.

Elm Company

Software Developer (Intern)
Jul 2011 – Sep 2011

Analyzed, designed, and developed a new CMS system using J2EE for Elm’s Innovation Unit.

IMAMU (College of Computer Science and Information Systems)

Computer Lab Assistant (Part-Time)
Sep 2010 – Aug 2011

Assisted students with programming problems and offered additional lectures.
Helped enhance students’ programming skills through practical support and guidance.

Saudi Aramco

IT Assistant (Intern)
Jul 2009 – Sep 2009

Responded to users’ IT support requests and provided assistance onsite and remotely.
Installed IT equipment such as printers, monitors, scanners, network cables, and modems.

Education

Master’s Degree in Computer Science
San Diego State University, United States
2016 – 2019

Bachelor’s Degree in Computer Science (Second Honors)
Imam Muhammad Bin Saud Islamic University, Saudi Arabia
2006 – 2012

Key Skills

Technical Skills: Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Remote Sensing, Image Analysis, Data Analysis

Soft Skills: Leadership, Teaching, Mentoring, Small Business Consultation, Strategic Planning, Project Management

Certifications & Professional Development

IBM AI Skills Accelerator Program - (Apr 2026 – Jun 2026)
IBM SkillsBuild
- Completed the 10-week AI Skills Accelerator program and earned all related microcredentials in generative AI, machine learning, NLP, AI-enabled applications, and IBM SkillsBuild Faculty.

Certified Artificial Intelligence Consultant (CAIC™) - (Mar 2025)
United States Artificial Intelligence Institute (USAI® - Credential ID: 8765319297 )
- Certified in core AI concepts, AI/ML business applications, and AI-driven transformation initiatives.

McKinsey Forward Program - (Jan 2024 – Apr 2024)
- Professional development program focused on structured problem solving, communication, digital fluency, strategic thinking, and leadership.

Languages

Arabic (Native/Fluent)
English (Full Professional Proficiency)

Publications

Salman Alsalman and Amina Salhi. “HCFFormer: a hybrid CNN–transformer framework for heterogeneous remote sensing image change detection.” International Journal of Remote Sensing, 2026. DOI: 10.1080/01431161.2026.2691979
Ahmed Biyabani, Salman A. Al-Salman, and Khalid S. Alkhalaf. “Embedded real-time bilingual ALPR.” 2015 International Conference on Communications, Signal Processing, and Applications (ICCSPA), Sharjah, 2015. DOI: 10.1109/ICCSPA.2015.7081311

Academic Projects & Research

Malaria Cell Detection using Curriculum Learning and Faster R-CNN: 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.

Large-Scale Analysis of Citation Bias: Developed a predictive model assessing citation likelihood based on demographic data.

Efficient Liver Disease Prediction: Built machine learning classifiers for liver disease prediction based on patient biomarkers.

Predicting Safety Risks from Street View Photos: Applied image processing techniques to predict crime rates using street view data.

Salman Alsalman