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    "name": "Dr. Aris Thorne",
    "title": "Professor of Artificial Intelligence & Director of AI Research Lab",
    "currentAffiliation": "Department of Computer Science, Cybernetics University",
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    "bioShort": "Leading researcher in Neural Architecture Search and Explainable AI with over 15 years of academic and industrial experience.",
    "bioLong": "Dr. Aris Thorne is a Professor of Artificial Intelligence at Cybernetics University. He received his PhD from MIT in 2011. His research sits at the intersection of deep learning, computer vision, and cognitive neuroscience. He is particularly passionate about making deep neural networks interpretable and resource-efficient for deployment on edge systems. Over the years, his lab has collaborated with leading AI companies and received research grants from National Science Foundations.",
    "contact": {
      "email": "a.thorne@cybernetics.edu",
      "officeAddress": "Room 402, Turing Hall, Cybernetics University, Tech City",
      "officePhone": "+1 (555) 019-2831"
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      "Explainable Artificial Intelligence (XAI)",
      "Neural Architecture Search (NAS)",
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        "id": "pub-001",
        "title": "Towards Explainable Vision Transformers: Attentional Attribution Maps",
        "authors": "A. Thorne, L. Zhang, M. Devaux",
        "journalOrConference": "IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)",
        "year": 2025,
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        "paperUrl": "https://arxiv.org/abs/2501.99999",
        "citationCount": 42,
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        "id": "pub-002",
        "title": "Hardware-Aware Neural Architecture Search for Edge TPU Platforms",
        "authors": "J. Doe, A. Thorne",
        "journalOrConference": "International Conference on Computer Vision (ICCV)",
        "year": 2024,
        "doi": "10.1109/ICCV.2024.22019",
        "paperUrl": "https://openaccess.thecvf.com/content/ICCV2024",
        "citationCount": 118,
        "type": "conference"
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        "id": "pub-003",
        "title": "A Survey of Spiking Neural Networks in Edge Robotics",
        "authors": "M. Devaux, A. Thorne",
        "journalOrConference": "Frontiers in Neuroscience",
        "year": 2023,
        "doi": "10.3389/fnins.2023.8821",
        "paperUrl": "https://www.frontiersin.org/articles/10.3389/fnins.2023.8821/full",
        "citationCount": 85,
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        "id": "proj-001",
        "title": "Explainable AI for Safety-Critical Autonomous Systems",
        "role": "Principal Investigator",
        "fundingAgency": "National Science Foundation (NSF)",
        "duration": "2024 - 2027",
        "budget": "$750,000",
        "description": "Developing robust mathematical models to interpret spatial-temporal decisions of deep reinforcement learning agents in autonomous vehicles.",
        "status": "active"
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      {
        "id": "proj-002",
        "title": "Ultra-Low Power Edge Inference using Spiking Neural Architectures",
        "role": "Co-Principal Investigator",
        "fundingAgency": "Defense Advanced Research Projects Agency (DARPA)",
        "duration": "2021 - 2024",
        "budget": "$1,200,000",
        "description": "Designed custom neuromorphic algorithms compatible with low-power memristor-based hardware acceleration.",
        "status": "completed"
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    "teaching": [
      {
        "courseCode": "CS-8803",
        "courseTitle": "Advanced Deep Learning & Explainability",
        "level": "Graduate",
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        "courseCode": "CS-4601",
        "courseTitle": "Introduction to Computer Vision",
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        "name": "Dr. Michael Devaux",
        "role": "Postdoctoral Researcher",
        "researchTopic": "Spiking Vision Transformers",
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      {
        "name": "Li Zhang",
        "role": "PhD Candidate",
        "researchTopic": "Self-Supervised Representation Learning",
        "email": "l.zhang@cybernetics.edu"
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        "name": "Sarah Jenkins",
        "role": "PhD Student",
        "researchTopic": "Neural Architecture Search on FPGA",
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