12 citations · 16 across the 8 of their papers we have counts for
8 papers
How Reliable Are NVD CWE Labels? A Large-Scale Semantic Audit with Seclometry
Yu Nong, Yao Du, Majid Behravan +1
CWE labels in the National Vulnerability Database (NVD) are widely treated as ground truth for vulnerability search, scanner evaluation, benchmark construction, learning-based secu…
Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality
Majid Behravan, Maryam Haghani, Denis Gracanin
Traditional 3D modeling requires technical expertise, specialized software, and time-intensive processes, making it inaccessible for many users. Our research aims to lower these ba…
From Voices to Worlds: Developing an AI-Powered Framework for 3D Object Generation in Augmented Reality
Majid Behravan, Denis Gracanin
This paper presents Matrix, an advanced AI-powered framework designed for real-time 3D object generation in Augmented Reality (AR) environments. By integrating a cutting-edge text-…
Generative AI Framework for 3D Object Generation in Augmented Reality
Majid Behravan
This thesis presents a framework that integrates state-of-the-art generative AI models for real-time creation of three-dimensional (3D) objects in augmented reality (AR) environmen…
Multilingual Standalone Trustworthy Voice-Based Social Network for Disaster Situations
Majid Behravan, Elham Mohammadrezaei, Mohamed Azab +1
In disaster scenarios, effective communication is crucial, yet language barriers often hinder timely and accurate information dissemination, exacerbating vulnerabilities and compli…
Interactive Design-of-Experiments: Optimizing a Cooling System
Rainer Splechtna, Majid Behravan, Mario Jelovic +3
The optimization of cooling systems is important in many cases, for example for cabin and battery cooling in electric cars. Such an optimization is governed by multiple, conflictin…
Attention and Sensory Processing in Augmented Reality: Empowering ADHD population
Shiva Ghasemi, Majid Behravan, Sunday Uber +1
The brain's attention system is a complex and adaptive network of brain regions that enables individuals to interact effectively with their surroundings and perform complex tasks.…
Integrating Physiological Data with Large Language Models for Empathic Human-AI Interaction
Poorvesh Dongre, Majid Behravan, Kunal Gupta +2
This paper explores enhancing empathy in Large Language Models (LLMs) by integrating them with physiological data. We propose a physiological computing approach that includes devel…