Research that narrows the possible

Presents QFIRE, an inline, provider-agnostic prompt firewall for healthcare AI agents that combines positive-security scope constraints, an asynchronous detector graph, and de-obfuscation — and releases QFIRE-HealthBench, where generic injection detectors recover only 0.40 recall while QFIRE's scope+PHI chain reaches 0.83.

J. Schwoebel, I. Semenec, J. Rousseva, M. G. Frasch, R. Thorstenson, M. Bhatt

Proves that continuity, utility preservation, and complete safety cannot coexist for prompt-injection wrapper defenses, and characterizes the boundary where every such defense must fail.

M. Bhatt, S. Munshi, V. S. Narajala, I. Habler, A. Al-Kahfah, K. Huang, J. Webb, B. Gatto, M. T. Hoque

Introduces an automated framework for testing logic-layer prompt-control injection across persistent memory, retrieval pipelines, tools, and multi-stage agent lifecycles.

H. Atta, K. Huang, K. R. Lambros, Y. Mehmood, M. Z. Baig, M. A. Rahman, M. Bhatt, et al.

Maps unsafe behavioral regions in language models as attraction basins, using quality-diversity search to expose distinct vulnerability niches and their geometry.

S. Munshi, M. Bhatt, V. S. Narajala, I. Habler, A. Al-Kahfah, K. Huang, B. Gatto

Adapts Go-Explore to agent red teaming and shows that random-seed variance can dominate algorithm choices, making multi-seed evaluation essential for defensible comparisons.

M. Bhatt, A. Wood, I. Habler, A. Al-Kahfah

Proposes an artifact-centric architecture that embeds provenance, access control, and audit evidence into the data objects used by AI agents.

V. S. Narajala, M. Bhatt, I. Habler, R. F. Del Rosario, A. Dawson · 7 pages

Defines logic-layer prompt-control injection, where delayed or conditional payloads persist through memory, vector stores, and tool-connected agent systems.

H. Atta, K. Huang, M. Bhatt, K. Ahmed, M. A. Ul Haq, Y. Mehmood

Mitigates tool squatting and rug pull attacks in the Model Context Protocol (MCP) by hardening tool definitions with OAuth-enhanced signatures and policy-based access control, preventing malicious or mutated tools from being silently substituted into agent workflows.

M. Bhatt, V. S. Narajala, I. Habler · 6 pages

Examines why benchmark success may be necessary yet insufficient evidence of human-like reasoning, and formalizes the gap between measured performance and the claimed capability.

M. Bhatt

Studies economic and security behavior when autonomous language-model agents outsource tasks according to skill within multi-agent teams.

M. Bhatt, R. F. Del Rosario, V. S. Narajala, I. Habler

Introduces a hierarchy-based machine-learning approach to classifying file fragments — a core digital-forensics problem when file-system metadata is unavailable — improving type identification from raw binary content.

M. Bhatt, A. Mishra, M. W. U. Kabir, S. E. Blake-Gatto, R. Rajendra, M. T. Hoque, G. G. Richard III, V. Roussev

Investigates multiproperty coupling among magnetic field, piezoelectricity, and photoexcitation in ZnO nanowire arrays, demonstrating order-of-magnitude current enhancement through piezo-magnetotronic and piezo-photomagnetotronic effects.

S. Yan, Z. Zheng, S. Rai, M. A. Retana, M. Bhatt, L. Malkinski, W. Zhou

Uses relocation entries in ELF binaries to fingerprint Linux kernel versions from memory images, enabling forensic tools to apply correct kernel profiles during memory analysis.

M. Bhatt, I. Ahmed

Describes a hands-on curriculum using virtual machine introspection to teach operating-systems security, letting students observe rootkits and live system state from outside the compromised guest.

M. Bhatt, I. Ahmed, Z. Lin

Presents an automated approach to detecting and mitigating kernel rootkits in cloud environments using virtual machine introspection, without agents inside the guest.

J. Grimm, I. Ahmed, V. Roussev, M. Bhatt, M. Hong

Demonstrates a self-powered UV/visible photodetector built on ZnO/ZnSe heterostructure core/shell nanowire arrays, using the piezophototronic effect to tune interface barriers and enhance responsivity.

S. Yan, S. C. Rai, Z. Zheng, F. Alqarni, M. Bhatt, M. A. Retana, W. Zhou

Demonstrates a broadband UV/visible photodetector on a fully wide-bandgap ZnO/ZnS type-II core/shell nanowire array, with three-orders-of-magnitude responsivity modulation through the piezo-phototronic effect.

S. C. Rai, K. Wang, Y. Ding, J. K. Marmon, M. Bhatt, Y. Zhang, W. Zhou, Z. L. Wang

Extends piezo-phototronic enhancement to CdSe/ZnTe core/shell nanowire arrays for broadband photodetection, exploiting type-II band alignment and strain-induced barrier modulation.

S. C. Rai, K. Wang, J. Chen, J. K. Marmon, M. Bhatt, S. Wozny, Y. Zhang, W. Zhou, Z. L. Wang