IEEE Workshop on AI-Native Networking, Resilience and Forensics - Preliminary Program
FREE REGISTRATION OPEN - 23rd OCT 2026
IEEE Workshop on AI-Native Networking, Resilience and Forensics
DETAILED PRELIMINARY PROGRAM
Saturday, October 24, 2026 | Carlson Auditorium, Rochester Institute of Technology
8:30 AM–6:05 PM • Technical talks, panels and student poster awards
Opening & Session 1 | AI Networking and Infrastructure
8:30–8:45 AM
Welcome and Introduction — Nirmala Shenoy (Rochester Institute of Technology)
8:50–9:20
LoomAI and Autonomous Experiments on the FABRIC Testbed
Paul Ruth | RENCI, University of North Carolina at Chapel Hill
Using AI agents to provision, operate, analyze and reproduce distributed FABRIC experiments, and using FABRIC to study agents across real networks.
9:20–9:40
Powering the Next-Gen Campus: The Impact of AI on Infrastructure and Networking Resources in GCCIS
Charles Gruener | Director of Technical Operations, GCCIS, Rochester Institute of Technology
Campus computing and networking capacity, orchestration and resource-management implications of emerging AI workloads.
9:40–10:00
Software and Network Challenges of Making GPUs Work Together at Scale
Deep Shah | Socratic AI (formerly Meta and VMware)
How distributed AI training requires GPU coordination, network communication and mechanisms for performance and failure recovery.
10:00–10:20
Memory Is the Bottleneck: Pooling GPUs for One Big Job vs. Slicing One GPU for Many Robots
Francis Tyson Thomas | Oishii Farm; formerly Kroll Government Solutions
Compares pooling GPUs across nodes for large jobs with sharing a GPU for real-time robotic inference, including latency and observability tradeoffs.
10:20–10:35
MORNING COFFEE BREAK
Session 2 | AI Optimization and Resilience
10:40–11:00
Advanced Latent Representations and Computational Optimization
Baris Kazar | Infrastructure architect and spatial data scientist; formerly Oracle America
Optimization of embeddings, fused Triton/CUDA kernels, vector quantization and approximate nearest-neighbor search for AI systems.
11:00–11:20
Keeping Distributed AI Inference Reliable Under Overload: Deadline-Aware Backpressure and Adaptive Load Shedding
Jayapragash Dakshnamurthy | HealthEquity
DA-BALS uses deadline and congestion signals for admission and load shedding in distributed cloud–edge AI inference.
11:20–11:40
When the Retry Is the Outage: Metastable Failures in Agentic and Distributed AI Systems
Abdul Rasheed Shaik | Senior engineering leader, Fortune 100 firm
Simulation-based analysis of retry amplification, persistent overload and controls such as cancellation, retry budgets and admission deadlines. Co-author: Khadarvali Shaik (Fortune 50 healthcare organization); Abdul presents.
11:45–12:25 PM
TECHNICAL PANEL 1 | Networking for the AI Era?
Vidya Wadkar — Verizon
Swapna Chimanchodkar — Independent Researcher
Nirmala Shenoy — Rochester Institute of Technology
Guru Sharan B S — Founder & CEO, Infi Tech World
12:25–1:15
LUNCH BREAK & STUDENT POSTER AWARDS
Session 3 | AI-Native Infrastructure and Operations
1:20–1:40 PM
Embedded System Development in Industry: Before and After AI
Dr. Varma Kamadi | HCL America (HCL Technologies)
Practical changes AI brings to embedded development, from interpreting datasheets and writing drivers to debugging and testing firmware.
1:40–2:00
Bolt-On Intelligence: Incrementally Engineering an AI Layer for Existing Network Infrastructure
Gabriel W. Nellis | Morgan Properties; student, Rochester Institute of Technology
A staged approach to network intelligence using management interfaces, shared data models, deterministic analysis and carefully governed LLM integration.
2:00–2:20
Agentic AI for Predictive Failure Detection and Autonomous Recovery in Cloud-Native Infrastructure
Rambabu Tangirala | Senior data engineer and independent researcher
Combining observability, anomaly detection, retrieval-augmented generation and AI agents for root-cause analysis and human-approved recovery.
2:20–2:40
Scaling Distributed Corporate Infrastructures via AI-Native Architectures: An Empirical Framework for Adaptive Resource Allocation and Deterministic Compliance
Guru Sharan B S | Founder & CEO, Infi Tech World
Enterprise AI architectures using localized vector sharding, RAG, multi-agent orchestration and policy-aware hybrid-cloud resource allocation.
2:45–3:20
TECHNICAL PANEL 2 | Trustworthy Distributed AI Infrastructure: Security, Observability and Forensics
Prasanna Kumar — M&T Bank;
Chitiz Tayal — Senior Director, Axtria
Venkata Phani Patelkhana — Independent researcher
Benjamin Brümm — Dalhousie University / Open Compute Project
3:20–3:35
AFTERNOON COFFEE BREAK
Session 4 | AI Governance, Security and Forensics
3:40–4:00 PM
Every Action Should Be Accounted For: Behavioral Forensics for AI Agents in Data Center Operations
Rea Ara | New York University (NYU Tandon)
Enumerates agent execution paths and tests deterministic rules against security risks in data-center facilities operations.
4:00–4:20
Governing Unreliable AI Services in Regulated Workflows
Anurag Nedunuri | Independent researcher; lead solutions architect
Auditable asynchronous orchestration of AI requests, callbacks, exceptions and human overrides in regulated insurance workflows.
4:20–4:40
Beyond Suspicion Scores: Competing-Explanation Inference for Fraud-Shaped Legitimate Activity
Ankur Garg | Director of AI and Emerging Tech, Rockland Trust Bank
Explaining competing fraud and legitimate-activity hypotheses to improve transparency and auditability in financial investigations.
4:40–5:00
Enterprise Context Layer: The Missing Foundation for Agentic AI
Chitiz Tayal | Senior Director, Axtria
Why governed meaning, permissions and enterprise context must connect data platforms with agents to prevent context-driven errors.
5:00–5:20
From Request to Action: Inside the Journey of an AI Agent Decision
Venkata Phani Patelkhana | Distinguished Engineer and independent researcher
Follows user intent through agent identity, delegated authority, context, policy checks, tool execution and audit evidence.
5:25–6:00
CLOSING PANEL | Industry Career and Opportunities for Students
Guru Sharan B S — Founder & CEO, Infi Tech World
Sreejith Kaimal — C3 AI
Chitiz Tayal — Senior Director, Axtria
Alok Tibrewala — Independent Researcher
6:00–6:05
Closing Remarks and Acknowledgments
INTERESTED
Registration Link: IEEE Workshop on AI-Native Networking, Resilience and Forensics - Preliminary Program : vTools Events | vTools IEEE
Special Interest Group: https://ainativenetworking.ieee.org/.
To join the SIG send an email to ainativenetwork@ieee.org OR Join- IEEE AI Native Networking SIG
LinkedIn Group: https://www.linkedin.com/groups/36950078
Talk/Speaker details: https://ainativenetworking.ieee.org/
Date and Time
Location
Hosts
Registration
-
Add Event to Calendar
Loading virtual attendance info...
- Carlson Auditorium
- Lomb Memorial Drive
- Rochester , New York
- United States 14623
- Building: 76
- Contact Event Hosts
- Co-sponsored by https://www.linkedin.com/groups/36950078 - AI-Native Networking & Systems Technical Community
- Starts 01 September 2026 01:17 PM UTC
- Ends 23 October 2026 02:00 PM UTC
- No Admission Charge