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Home/Authors/Tauseef Ahmed

Tauseef Ahmed

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

Crypto×3Vision×1AI×1

Frequent co-authors

Mohammed Mahir Rahman3×
Shahzad Memon3×
Amaan Ahmed1×
Akhitha Pakala1×
Ameer Al-Nemrat1×

Research Timeline

2026
reconCTI: A Proactive Approach to Cyber-Threat Intelligence

This paper introduces reconCTI, a Python-based command-line tool designed to proactively search for sensitive data leaks on both surface and dark web platforms to aid in early risk identification.

An IoT-Enabled Smart Home Automation System for Energy Efficiency with Web-Based Control

The paper presents an IoT-enabled smart home system using Raspberry Pi 5 and environmental sensors to automatically manage devices, achieving over 46% energy savings compared to always-on models.

Comparative Evaluation of Deep Learning Models for Fake Image Detection

This study comparatively evaluates four CNN architectures (VGG16, ResNet50, EfficientNetB0, and XceptionNet) for fake image detection, finding VGG16 achieved the highest accuracy (91%).

Highlighted terms show continued research focus across papers

Papers

cs.CRRecentMay 20, 2026

An IoT-Enabled Smart Home Automation System for Energy Efficiency with Web-Based Control

Amaan Ahmed, Mohammed Mahir Rahman, Shahzad Memon, Tauseef Ahmed

The paper presents an IoT-enabled smart home system using Raspberry Pi 5 and environmental sensors to automatically manage devices, achieving over 46% energy savings compared to always-on models.

View →
cs.CVcs.AIcs.CRRecentMay 20, 2026

Comparative Evaluation of Deep Learning Models for Fake Image Detection

Akhitha Pakala, Mohammed Mahir Rahman, Shahzad Memon, Tauseef Ahmed

This study comparatively evaluates four CNN architectures (VGG16, ResNet50, EfficientNetB0, and XceptionNet) for fake image detection, finding VGG16 achieved the highest accuracy (91%).

View →
cs.CRRecentMay 19, 2026

reconCTI: A Proactive Approach to Cyber-Threat Intelligence

Mohammed Mahir Rahman, Shahzad Memon, Tauseef Ahmed, Ameer Al-Nemrat

This paper introduces reconCTI, a Python-based command-line tool designed to proactively search for sensitive data leaks on both surface and dark web platforms to aid in early risk identification.

View →