About Us
Adaptive Solutions Collaborative, Inc. (ASCI) is a nonprofit organization established in September 2025 (EIN: 39-4441893). Our mission is to use advanced and disruptive technologies for humanitarian purposes by collaborating with organizations that have meaningful challenges, domain knowledge, and mission alignment.
We are dedicated to empowering collaborators and developing innovative technologies in areas like disaster preparedness, survivable and secure communication networks, and other solutions that strengthen community resilience through technology and education. We aim to fill the gaps between a jurisdiction's current level of preparedness and the desired level based on best practices, using AI-enabled natural language processing technologies.
Our Initiatives
ASCI's Resilient Infrastructures Initiative is focused on leveraging technology-driven solutions to address humanitarian challenges. Our key projects include:
Disaster and Emergency Preparedness
Our Disaster and Emergency Preparedness Assessment System (DEPAS) provides a comprehensive measure of emergency preparedness. This evidence-based, data-driven system uses best-practice questions to assess an entity's preparedness posture and capability gaps, especially for climate-vulnerable communities. It processes natural language planning documents and supports human validation of machine-generated answers to promote trust in preparedness ratings. DEPAS can speed up the assessment process five-fold (e.g., 8-12 hours vs. 40+ hours per jurisdiction), improving accuracy and coverage for key sectors of society.
Designing for Survivable and Resilient Critical Communication Infrastructures
This initiative improves communications reliability to allow continuous functionality of infrastructure during disasters and emergencies to protect lives and property. The platform employs advanced optimization algorithms to design robust networks that can withstand disruptions. We also work on predictive cybernetic threat management systems that automatically respond to threat conditions and proactively defend complex communication networks.
AI for Public Good
We are developing game-based learning and adaptive tutoring systems to increase literacy and skill development in targeted areas like STEM and Statistics. This initiative aims to democratize education and economic opportunities for under-served communities by using student modeling, expert modeling, and multiple pedagogical techniques to create mastery learning and personalized learning experiences.
Leadership Team
Our people are experts in IT, Artificial Intelligence (AI), Global Communication Networks, Education and Gaming Technologies; Game-based Learning for Cyber Security and Statistics; and Text Analytics.
Dr. Jidé Odubiyi - President & ASCI Co-founder
Dr. Odubiyi has 30+ years of experience in research, software engineering (Artificial Intelligence, Agent and Intelligent system technology), development, and deployment of products for global network risk management, business intelligence, and computer & network security. He has software development experience with Java, C, C++, Linux OS. Prior to his current position, he led the development of Kaelo®, an AI-enabled natural language processing corporate governance rating system for rating the effectiveness of the leadership team of publicly traded companies. Kaelo’s underlying technology has been repurposed to develop the Disaster and Emergency Preparedness Assessment System (DEPAS) which assesses the level of preparedness of local communities, US states and other countries. He has experience in developing large decision support systems for different organizations including the Boeing Company; Lockheed Martin Aerospace, and The MITRE Corporation; and development and deployment of several AI-enabled software tools in Cyber security and game-based learning. He has served as the Principal AI engineer at the Lockheed Martin Space Mission Systems, R&D manager at the British Telecom, Global Networks. He also served as Associate Professor of Computer Science at Bowie State University where he taught graduate and undergraduate courses in Artificial Intelligence (AI), Computer and Network Security. He has an MS degree in mechanical engineering from the University of Washington and a doctorate degree in Applied Management and Decision Sciences from Walden University. He has authored over 50 articles and two books: Blueprint for a Crooked House (Mergers and Acquisitions--Business Analytics) and Building Survivable Systems (Systems Engineering).
Mr. George Meekins - Vice President & ASCI Co-founder
Mr. Meekins has expertise in Systems and Software Architecture & Design on global IT and communications products. He has over 30 years of experience spanning several roles in solutions architecture, manufacturing, software engineering, applied research, operational support systems, technology assessment, and program/project management. He has hands-on experience with system development in a variety of programming languages and tools (Java, C/C++, CLIPS, HTML, XML, and others). He holds a BSEE degree from Northeastern University and an MS degree in Computer Science from Johns Hopkins University, both of which have been applied in many ways throughout his diverse career. He has successfully delivered solutions spanning numerous domains, from power-systems engineering to software-controlled electronics, from financial portfolio analytics to telecommunications, and from healthcare IT to veterans’ benefits. Mr. Meekins specializes in learning and applying disruptive technologies to solve challenging problems in creative and parsimonious ways. His current projects are focused on adaptive tutoring systems, business strategies for leveraging AI/ML, knowledge fusion, data optimization, and DevOps/MLOps. He enjoys collaborating on technology incubation and the application of AI for humanitarian purposes such as economic development, health, and education.
Dr. Marcus Thint - Technology and Research Consultant
Dr. Thint has over 25 years of industrial and research experience in AI technologies, product engineering and deployment (software and hardware) with recent focus on personal digital assistants and automated question answering systems. In the early 1990's, Dr. Thint co-founded Intelligent Machines Inc., designing a graphical software environment for design, simulation, and deployment of diagnosis, control, and pattern recognition applications based on neural networks and fuzzy logic technologies. In 1997, he joined the Intelligent Systems Research Center of British Telecom, and has been one of the developers of the intelligent Personal Agent Framework (iPAF) system for personalized information retrieval including Radar, an agent that offers just-in-time user interest and activity information; Bugle, a personalized newspaper service; and Grapevine, expertise locator based on personal profiles. Dr. Thint serves as a co-developer of the text analyzer and approximate reasoning engine modules of Kaelo. Dr. Thint earned a Ph.D. degree in 1991 and MS (1984), in Electrical Engineering from Duke University, Durham, NC. (Specialty in Machine Intelligence and Robotics).