The AI in Complex Systems Lab
Located at ETEC, University at Albany 1200 Washington Avenue Albany, NY 12226
The AI in Complex Systems Laboratory, led by Dr. Canbaz, is at the forefront of advancing artificial intelligence within complex systems and networks.
Our Mission & Focus
Research Hub
A convergence point for experts in AI, network science, and complex systems.
Specialized AI Algorithms & Models
Developing AI algorithms and models for analyzing complex networks in various fields.
Innovative Solutions
Tackling intricate challenges and opportunities in AI integration.
About Our Director
Dr. M. Abdullah Canbaz, the director of the AI in Complex Systems Lab, is a leading expert in the fields of complex networks, graph data science, and multi-layer data representation and analytics. His research focuses on developing foundational models and algorithms for AI integration at the tactical edge.
For more details please visit[ drcanbaz.com ]
What We Do

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Complex Networks, Internet of Things, Wearables, and Data
Harnessing the interconnectedness of the Internet of Things, Wearables, and the transformative power of Big Data.

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Measurement Studies
Creating novel assessment metrics and monitoring frameworks to quantify the impact of AI integration in complex domains.

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Data Curation
Developing multi-modal data conversion algorithms to harmonize and integrate diverse data sources for advanced analytics.

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Process/Quality Monitoring
Deploying AI-driven quality monitoring systems to optimize production workflows, as demonstrated in the Bayer Pharma partnership.

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Digital Twinning
Combining data entanglement techniques with AI to enable highly accurate digital twins for complex systems and networks.
Our Projects
Advancing Legal Intelligence
Transforming the approach to immigration law using AI-powered semantic knowledge graphs.
The AI-Bias Control Framework
Integrating control theory into AI design to address the critical issue of bias in AI systems.
LLM-Assisted Crisis Management
Developing advanced language model platforms to improve emergency response during crises.
Our Work
LLMs' Emotion Detection Abilities: Use cases from the Middle East
Untangling Emotional Threads: Hallucination Networks of LLMs
LLM-Assisted Crisis Management: Building Advanced LLM Platforms for Effective Emergency Response & Public Collaboration
Harnessing Deep Learning and Satellite Imagery for Post-Buyout Land Cover Mapping
Creating Real-World Impact

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Interdisciplinary Collaboration
Fostering interdisciplinary collaborations to address real-world problems and societal challenges.

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Talent Development
Nurturing talent in AI research and contributing to the development of AI-driven solutions for complex systems and networks.

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Efficiency Enhancement
Making our interconnected world smarter and more efficient through innovative AI-driven solutions.
Involvement
Doctoral Students & Candidates
Engaged in advanced research, enriching the lab's cutting-edge projects.
Undergraduate Students
Enriching their academic studies and laying a foundation for future pursuits.
Our Team
  • Director, M. Abdullah Canbaz, Ph.D.
  • Ph.D. Student, Radhakrishnan VenkataKrishnan
  • Ph.D. Student, Mahsa Goodarzi
  • Ph.D. Student, Mizan Rahman
  • Ph.D. Student, Hakan Otal
  • Ph.D. Student, Rawan Al Makinah
  • Ph.D. Student, Melany Rumman
  • Ph.D. Student, Mikail Demir
  • Masters Student, Christoph Schwartz
  • Undergraduate Student, Betul Tok
  • Undergraduate Student, Kenny Huang
  • Undergraduate Student, Bekzod Iskandarov
  • Undergraduate Student, Rumeysa Kara
Knowledge Exchange
Research Agenda
Driving forward the lab's ambitious research agenda.
Lifelong Learning
Fostering a rich learning environment for students and professionals.
Team Collaboration
Promoting a culture of collaboration and knowledge exchange.
Our Achievements
Papers
  • [PRESENTED] IEEE Conference of Artificial Intelligence 2023, San Francisco, California
  • [PRESENTED] International Conference on Complex Networks and Applications 2023, Riviera, France
  • [ACCEPTED] ACM Web Conference 2024, Singapore
  • [ACCEPTED] IEEE World Forum on Public Safety Technologies 2024, Washington, D.C.
  • [ACCEPTED] Intelligent Systems Conference 2024, Amsterdam, Netherlands
  • [ACCEPTED] IEEE Conference of Artificial Intelligence 2024, Singapore
  • [PENDING] 2 Papers at IEEE Conference of Artificial Intelligence 2024, Singapore
Grants
  • Optical CRISPR Nano-diagnostics Against Common Salmonella Serotypes Using Mobile-App Driven Image Analysis and Data Transmission, United States Department of Agriculture, $611,000.00
Interested in Collaborating?
Contact Us: [email protected]
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