IEEE Workshop on AI-Native Networking, Resilience and Forensics FINAL PROGRAM

[Nirmala Shenoy]

If interested please register to attend in person or virtual. No registration fees

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 — UBS 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 Guru Sharan B S — Founder & CEO, Infi Tech World 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 Sreejith Kaimal — C3 AI Chitiz Tayal — Senior Director, Axtria Alok Tibrewala — Independent Researcher
6:00–6:05	Closing Remarks and Acknowledgments

Registration Link: IEEE Workshop on AI-Native Networking, Resilience and Forensics

Special Interest Group: https://ainativenetworking.ieee.org/.

To join email:  ainativenetwork@ieee.org

LinkedIn Group: https://www.linkedin.com/groups/36950078

 

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