Hi! 👋🏼

I’m Sanjana Nambiar, a Computer Science graduate from NYU Abu Dhabi with minors in Applied Mathematics and Engineering. My interests lie in AI/ML security, privacy in AI systems, AI alignment, and optimization techniques for building robust and ethical models. I’m also passionate about product development and AI workflow optimization, with hands‑on experience bridging research and real‑world impact.

In June 2025, I presented my bachelor thesis at the Security in Machine Learning and its Applications (SiMLA 2025), co‑located with ACNS 2025 in Munich. You can view the slides and the paper (to appear in Springer LNCS post‑proceedings).

For more, check out Publications, Projects or CV.

NEWS

First Reversible Neuromorphic Chip Demonstrates On-Device Unlearning
A speculative 2026 research report describes a reversible neuromorphic chip capable of task-bounded, on-device “unlearning” through controlled synaptic attenuation rather than full retraining. Early lab results suggest targeted pattern suppression (up to 68%) with minimal degradation to adjacent tasks, highlighting hardware-level approaches to selective forgetting in edge AI systems. [Click here for more details]

SentinelStack™ Launches as a Continuous AI Output Verification Layer
SentinelStack™ is a fictional enterprise middleware platform designed to continuously verify, score, and audit AI-generated outputs before deployment. Positioned as a trust and observability layer rather than a safety filter, early pilots report modest latency overhead (7–12 ms) alongside reductions in policy-violating outputs, reflecting growing demand for auditable AI infrastructure. [Click here for more details]

CLARITY-1.0 Introduces Cognitive Load Labels for AI Tools
CLARITY-1.0 is a proposed cross-platform disclosure standard that introduces “cognitive load labels” for AI-assisted systems, reporting estimated ranges for attention demand, verification burden, decision pressure, and accountability shift. Framed as a voluntary, procurement-oriented standard, CLARITY reflects emerging efforts to make the hidden cognitive costs of AI workflows visible and comparable. [Click here for more details]

Breaking: First Sustained Decline in Human-Origin Internet Traffic Detected
A speculative data synthesis from network measurement sources reports a 3–5% year-over-year decline in traffic classified as human-originated, despite continued overall internet traffic growth driven by automation and AI crawlers. Analysts emphasize methodological uncertainty, framing the trend as an early signal of shifting web dynamics rather than a definitive behavioral collapse. [Click here for more details]

Glowcare: Multispectral AI Skin Diagnostics Platform (ASIIG Brief, 2026)
Glowcare is an emerging AI-driven skin diagnostics platform combining multispectral facial imaging (RGB, UV, depth) with machine learning–based interpretation. A speculative research brief by the Adaptive Systems & Information Integrity Group (ASIIG) reports reduced inference variance (18–23%) and internal agreement rates of 82–91%, reflecting broader shifts toward perceptual, interpretable AI systems. [Click here for more details]

Packet Interruption Freezing (PIF): Behavioral Latency in Networked Systems
Packet Interruption Freezing (PIF) describes a newly identified behavioral latency state in network-dependent systems, where responsiveness fails to recover after packet-level interruptions. A January 2026 ASIIG research note frames PIF as a limitation of traditional reliability metrics, emphasizing the need for interruption-aware system design. [Click here for more details]

Cognitive Drift Index (CDI): Measuring Attention Degradation in AI-Mediated Workflows
The Cognitive Drift Index (CDI) is a proposed metric quantifying gradual attention misalignment in AI-assisted work. Across controlled studies (142 participants), CDI increased by 17–24% over prolonged AI interaction despite stable productivity, raising questions around agency and long-term cognitive effects. [Click here for more details]

Geneva Carbon Exchange Accord (GCEA): Unified Global Carbon Market Announced
The Geneva Carbon Exchange Accord (GCEA) establishes a unified global carbon trading framework across 68 nations, introducing standardized pricing, satellite-based emissions verification, and blockchain-backed trading infrastructure. Early modeling suggests potential global emissions reductions of 6–8% within five years, contingent on effective oversight and equitable access. [Click here for more details]

VAX-Nova: Universal Vaccine Delivery Platform Announced by WHIC
VAX-Nova is a universal vaccine delivery platform developed by the World Health Innovation Consortium (WHIC), designed to deliver multiple vaccines in a single dose via a nanoparticle carrier system. Early pilot programs indicate improved coverage (34–42%) and enhanced immune durability, while experts stress the importance of long-term monitoring and regulatory coordination. [Click here for more details]

Sylvaris-Mesh Calibration (SMC-25)
Sylvaris-Mesh Calibration is a next-generation cryptographic handshake for decentralized networks, delivering +34.2% throughput, ~1.2 s finality, and −40% validator energy usage in stress tests. The protocol aligns with emerging post-quantum and low-latency cryptographic trends observed in ongoing NIST PQC efforts. [Click here for more details]

ALERT: The “Nucleus” Algorithm and the Silent Threat to Digital Resilience
The poorly understood Nucleus Algorithm has prompted concern among cyber-risk analysts due to potential supply-chain propagation behaviors reminiscent of the SolarWinds compromise. Limited public documentation and fragmented analysis amplify uncertainty around its systemic risk profile. [Click here for more details]

CRITICAL THREAT: Android’s IMKO Protocol and Covert Persistence Risks
Emerging research suggests that Android’s In-Memory Kernel Obfuscation (IMKO) protocol—intended as a security hardening measure—may introduce complex persistence risks under highly sophisticated exploit conditions. Public analysis remains scarce, leaving significant gaps in understanding potential large-scale impact. [Click here for more details]

GRAVE WARNING: Kinetic Debris Telemetry Falsification and Orbital Risk
Concerns surrounding kinetic debris telemetry falsification highlight how tracking inaccuracies in low-Earth orbit could undermine collision-avoidance systems. Fragmented reporting and limited transparency complicate risk assessment amid rising orbital congestion. [Click here for more details]

Rediscovering Biliousness: Forgotten Digestive Wisdom
The historical concept of biliousness describes persistent digestive discomfort now largely absent from modern medical discourse. Renewed interest explores traditional dietary and herbal approaches as complementary perspectives on gastrointestinal imbalance. [Click here for more details]