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Associate Professor of Computer Science
AI Researcher · AIIS Lab Director · Author
Fresno State

Rage Against the Autonomous Machine
AI, power, autonomy, and the future of society
CRC Press, 2026

Artificial intelligence • Intelligent Systems ​• AI for Science & Sustainability • AI & Society

Students: Research opportunities available → Agentic AI, machine learning, vector databases, and web development

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Aris Athanasios “Thanos” Panagopoulos is an Associate Professor of Computer Science and founder and director of the Artificial Intelligence and Intelligent Systems (AIIS) Laboratory at California State University, Fresno. His research focuses on human-centered intelligent systems and artificial intelligence for social good, with applications in education, digital history preservation, computational sustainability, smart cities and buildings, transportation, precision agriculture, and scientific discovery. He is also committed to educating future generations of computing professionals and contributing to public dialogue on the societal implications of artificial intelligence.

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His research interests include machine learning, deep learning, generative AI, optimization, reinforcement learning, control theory, and multi-agent systems, as well as the broader socioeconomic implications of AI-driven systems. He has served as principal investigator or co-principal investigator on interdisciplinary, multi-million-dollar initiatives supported by organizations including the National Science Foundation (NSF), California Energy Commission (CEC), California Learning Lab, CAHSI–Google, and the Agricultural Research Institute (ARI). He has collaborated with industry partners including Siemens, Microsoft Research, and BMW North America, as well as scientific collaborations including the Laser Interferometer Gravitational-Wave Observatory (LIGO). He is also a five-time Farms Food Future (F3) Initiative Fellow.

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His work has appeared in venues including AAAI, AAMAS, and Expert Systems with Applications. He is a recipient of Fresno State’s Provost’s Teaching Award. He served as an elected member of the University Academic Senate from 2021 to 2026 and has served on program committees for conferences including AAAI, ECAI, IJCAI, and EUMAS. He is a member of the Authors Guild and CAHSI.

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He is the author of Rage Against the Autonomous Machine: The Dialectics of Artificial Intelligence and How to Survive the AI Revolution (CRC Press, 2026), an interdisciplinary study of artificial intelligence, political economy, automation, and technological power.

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Before joining Fresno State, Panagopoulos spent two years as a postdoctoral researcher at the University of California, Berkeley. He received his Ph.D. in Computer Science from the University of Southampton, UK, in 2016, and holds an Integrated Master’s Degree in Electronic and Computer Engineering from the Technical University of Crete, Greece.

About
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RESEARCH

Research

My research spans artificial intelligence and intelligent systems, with emphasis on machine learning, sustainable cyber-physical systems, and the societal implications of AI.

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Machine Learning & Intelligent Decision-Making​

​Deep learning · Generative AI · Reinforcement learning · Optimization · Multi-agent systems · Intelligent control

 

Research on robust, adaptive, interpretable, and trustworthy intelligent systems for decision-making under uncertainty.​​​

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AI for Sustainable Systems​​​

Precision agriculture · Smart buildings · Energy · Transportation · Manufacturing · Internet of Things

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AI, multimodal sensing, simulation, and intelligent control for sustainable physical and socio-technical systems.​

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Society & Human Agency

​Human–AI interaction · Explainability · Algorithmic bias · Governance · Education · Public history

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Research on the socioeconomic, political, educational, labor, and environmental implications of AI and automation, and on public-interest applications of generative AI.

Featured Projects

Hibiki-AI

Generative AI for interactive learning and digital history preservation. Developed through the California Learning Lab AI Fast Challenge.

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CIWA / CIWA+

Machine learning and computer vision for crop water-stress estimation and intelligent precision irrigation.

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CompactAI

Machine-learning surrogate modeling for pharmaceutical tablet compaction and stress–strain prediction.

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Robust Large Language Models (RoLLaM)

Research on improving and certifying the robustness of large language models, supported by CAHSI–Google.

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XBOS-DR & XBOS-V​

Intelligent control, forecasting, demand response, thermal modeling, and electric-vehicle charging for energy-efficient buildings and distributed energy systems.

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RENES

An award-winning renewable-energy forecasting platform for photovoltaic and wind-power generation that reached approximately 10,000 daily visits at its peak.​

Research Impact

$2.47M
PI / Co-PI award portfolio

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40+
Students mentored

 

5×
Farms Food Future (F3) Initiative Fellow

 

AAAI · AAMAS · ECAI · ACM TIST · Expert Systems with Applications · Physical Review D
Selected publication venue

TEACHING

Teaching

My teaching spans artificial intelligence, machine learning, simulation, formal methods, research methods, and foundational computer science, with an emphasis on active learning, accessible course design, and research-oriented education.

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Artificial Intelligence & Machine Learning

AI & Society · Reinforcement Learning · Bio-Inspired Machine Learning · Principles of Artificial Intelligence

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Research & Scientific Practice

Research Methods and Ethics in Computer Science · Introduction to Research · Computer Science Colloquium

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Core Computer Science

Simulation · Formal Languages and Automata · Foundations of Computer Science · Compiler Design

Teaching & Mentorship

2025 Faculty Provost’s Excellence in Teaching Award
Fresno State’s highest faculty honor.

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4.60–5.00 / 5.00
Course evaluation range across recent teaching assignments.

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40+ students mentored
Across undergraduate research, graduate research, theses, and externally supervised projects. Former mentees have progressed to Ph.D. programs and faculty appointments at institutions including Auburn, Minnesota, Edinburgh, Imperial College London, UCF, and South Carolina

Current & Recent Courses

AI & Society — CSCI 102
Artificial intelligence and its social, ethical, economic, and political implications.

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Research Methods and Ethics in Computer Science — CSCI 202
Research design, scholarly practice, ethics, scientific communication, and responsible computing.

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Reinforcement Learning — CSCI 265
Foundations and modern methods for sequential decision-making and learning from interaction.

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Bio-Inspired Machine Learning — CSCI 165
Machine-learning methods inspired by biological and natural processes.

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Simulation — CSCI 154
Modeling, simulation, experimentation, and analysis of complex systems.

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Introduction to Research in Computer Science — CSCI 200
Research skills, literature review, project development, and scientific communication.

Talks

Featured Talks & Media

AI and Global Journalism

Global Investigative Journalism Conference, 2025

 

AI, Society and Education

Fresno State, 2025

 

AI in the Central Valley

KMPH FOX26 Town Hall, 2026

 

Artificial Intelligence 101

Marc Kapetan Show, 2025

Speaking, Consulting & Advisory

I am available for selected speaking, consulting, and advisory engagements related to artificial intelligence, machine learning, intelligent systems, technology and society, and the themes of Rage Against the Autonomous Machine.

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Engagements may include invited talks, panels, workshops, AI strategy, system design and evaluation, research and development, and technical advisory work.

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BOOK & SPEAKING →

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CONSULTING INQUIRIES →

Contact
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© 2026 by Thanos Panagopoulos

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