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TALK, POSTER, HACKATHON SUBMISSIONS STILL OPEN
ACCEPTED TECHNICAL TALKS:
EXPLORE EMERGING TECHNOLOGIES AND CHALLENGES SHAPING NEXT GENERATION AI INFRASTRUCTURE.- LoomAI and Autonomous Experiments on the FABRIC Testbed, Paul Ruth PhD, Assistant Director for Network Research and Infrastructure at RENCI, Principal Investigator of FABRIC, NSF’s national programmable networking testbed
- Powering the Next-Gen Campus: The Impact of AI on Infrastructure and Networking Resources in GCCIS, Charles Gruener, Director of Technical Operations for the Golisano College of Computing and Information Sciences at RIT
- Software and Network Challenges of Making GPUs Work Together at Scale, Deep Shah Chief Architect / Founding Engineer at Socratic AI.
- When the Retry Is the Outage: Metastable Failures in Agentic and Distributed AI Systems, Abdul Rasheed Shaik, Senior Engineering Leader at a Fortune 100 firm and Khadarvali Shaik, Lead Data Engineer and Engineering Lead at a Fortune 50 healthcare organization
- Auditable Evidence Control for Trustworthy Multi-Step AI Agents in Network Operations, Ayush Yajnik, Data scientist and Analytics engineer, AAA Life Insurance Company. Co-founder of Axonion AI
- Unified AI Ops Observability: Bridging Monitoring with Automation, Manjunath Venkatram, Founder and CEO of ThoughtData
- Keeping Distributed AI Inference Reliable Under Overload: Deadline-Aware Backpressure and Adaptive Load Shedding, Jayapragash Dakshnamurthy Senior Software Engineer at Health Equity
- Advanced Latent Representations and Computational Optimization, Baris Kazar, Ph.D. Infrastructure Architect and Spatial Data Scientist
INDUSTRY-LED PANELS DISCUSS CHALLENGES TO REAL-WORLD DEPLOYMENT OF AI INFRASTRUCTURENetworking for the AI Era? How do we design distributed AI systems that are secure, observable, accountable, and capable of supporting effective incident investigation and forensics?
Vidya Wadkar, Verizon; Swapna Chimanchodkar, UBS, Nirmala Shenoy, RITResilient Infrastructure for Distributed AI: Recovery and Availability. How can AI infrastructure remain available and performant despite network failures, congestion, hardware faults, and increasingly complex distributed dependencies?
Chitiz Tayal, Axtria; Sreejith Kaimal,C3 AI; Nirmal Jingar, WayfairTrustworthy Distributed AI Infrastructure: Security, Observability and Forensics. Are today’s network architectures ready for AI, or do large-scale AI workloads demand fundamentally new protocols and architectures?
Sreejith Kaimal, C3 AI; Prasanna, M&T Bank, Chitiz Tayal, Axtria; Venkata Phani Patelkhana
INDUSTRY CAREER & OPPORTUNITIES PANEL FOR STUDENTS:
Experienced industry professionals will discuss career opportunities, emerging job-market trends, skills valued by employers, internships and co-op opportunities, and career pathways in AI, data, software, and technology.
Sreejith Kaimal, C3 AI; Chitiz Tayal, Axtria; Alok Tibrewala, John K. Pole Lead Software Developer, New York State Office of Information Technology Services (ITS)SUBMISSIONS
Technical Talks (Deadline 10th Oct 2026)
Student Posters (Deadline 10th Oct 2026)
Student Hackathon (Deadline 17th Oct 2026)
Industry Engagement / Sponsorship (Deadline15th Oct 2026)Details of Speakers and Abstract will be updated on https://ainativenetworking.ieee.org/
Date and Time
Date: 24 Oct 2026Time: 08:30 AM EDT to 06:30 PM EDT
- Add Event to Calendar
Location
- This event has virtual attendance info. Please visit the event page to attend virtually.
- Carlson Auditorium
- Lomb Memorial Drive
- Rochester , New York
- United States 14623
- Building: 76
Hosts
- Rochester Section Jt Chapter,AES10/COM19
- Rochester Section Jt Chapter,C16/CIS11
- Contact Event Hosts
- ainativenetwork@ieee.org
- Co-sponsored by https://www.linkedin.com/groups/36950078 – AI-Native Networking & Systems Technical Community
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