At the Second SmallAI Hackathon, organized by the Bluffdale Utah ACM Chapter, we ensure a rigorous evaluation process by assembling a distinguished panel of AI optimization experts, edge computing pioneers, and machine learning researchers who understand the critical importance of efficient, scalable AI solutions.
Our hackathon on April 18-19, 2026 represents the cutting edge of AI efficiency research and development. We've meticulously curated a judging panel comprising world-class experts in neural network compression, edge AI deployment, and sustainable machine learning architectures.
Each judge brings decades of experience in evaluating breakthrough solutions that push the boundaries of computational efficiency while maintaining peak performance. They understand the nuanced challenges of deploying AI at scale with minimal resources.
Expertise Domains
Our judges represent the forefront of AI optimization across multiple specialized domains
Neural Architecture Optimization
Leading researchers in neural architecture search, model compression, and quantization techniques. Experts who have revolutionized how we build efficient neural networks that deliver maximum performance with minimal computational overhead.
Edge AI & Inference Systems
Pioneers in deploying AI models on resource-constrained environments. Specialists in real-time inference optimization, mobile AI frameworks, and IoT machine learning with proven track records in production deployments.
ML Research & Academia
Distinguished professors and researchers from top-tier institutions with extensive publications in efficient machine learning, federated learning, and sustainable AI practices. Leaders in advancing the theoretical foundations of AI optimization.
AI Infrastructure & Scaling
Industry veterans who have built and scaled AI systems serving millions of users. Experts in distributed computing, model serving architectures, and the practical challenges of deploying efficient AI at enterprise scale.
Selection Criteria
Our rigorous standards ensure only the most qualified experts evaluate your innovations
Technical Mastery
- Proven expertise in AI model optimization and efficiency techniques
- Deep understanding of neural network architectures and compression methods
- Hands-on experience with edge computing and resource-constrained deployment
Research Excellence
- Distinguished track record in top-tier AI conferences and journals
- Leadership roles in cutting-edge AI research or industry innovation
- Recognition as a thought leader in efficient machine learning
Innovation Assessment
- Exceptional ability to evaluate novel AI optimization approaches
- Experience in assessing both technical feasibility and market impact
- Track record of identifying breakthrough technologies early
Ethical Standards
- Demonstrated commitment to unbiased, fair evaluation practices
- No conflicts of interest with participating teams or organizations
- Strong ethical foundation in AI development and deployment
Mentorship Excellence
- Proven ability to provide constructive, actionable feedback
- Commitment to nurturing the next generation of AI innovators
- Experience in guiding technical teams toward breakthrough solutions
Judge Appointment Process
Our systematic approach ensures we assemble the most qualified evaluation panel
Expert Identification
We identify and invite recognized leaders in AI optimization from top research institutions, leading tech companies, and innovative startups pushing the boundaries of efficient AI.
Expertise Validation
Comprehensive review of candidates' technical contributions, research impact, and industry leadership to ensure they possess the depth of knowledge required for fair evaluation.
Diversity & Balance
We carefully balance our panel across different AI optimization domains, ensuring representation from academia, industry, and startup ecosystems for comprehensive evaluation perspectives.
Final Calibration
Selected judges participate in calibration sessions to align on evaluation criteria, ethical guidelines, and our vision for advancing the state of efficient AI systems.
Judge Reveal
Our distinguished panel of AI optimization experts will be unveiled in March 2026. These industry leaders and researchers will bring unparalleled expertise to evaluate your innovative solutions. Follow our channels for the exciting reveal of these technical visionaries.