应用智能计算实验室(MIDA)

米达商标

Welcome to the Applied Intelligent Computing Lab located in the Kaufman Hall engineering building, 200房间. MIDA是由 工程学院 2007年夏天在bet8体育娱乐入口任教.

Our research field is applied 机器学习 focusing on development of novel algorithms for challenging problems in various applications including medical imaging, 疾病诊断, 微创方法, 计算可视化, 生物信息学, 医疗器械的使用和评价.

最近, we expanded our research area to include remote sensing image analysis focusing on marine science. MIDA is engaged in collaborative research with EVMS and other medical schools and universities.

教师

教授 学术事务
研究兴趣
主要研究方向:机器学习, 计算机辅助医疗诊断系统, 医疗信号/图像处理, 神经网络与建模与仿真.
Dr. 姜力获博士学位.D. degree in electrical engineering from the University of Texas at Arlington, TX, in 2004, the… 阅读更多
副教授 电 & 计算机工程
研究兴趣
主要研究方向:计算机视觉, 机器人, 图像处理, 智能系统, 数据挖掘, 网络传感器, 生物识别技术, 网络与交通流量分析, 图像及视频法证
Dr. 陈忠浩博士学位.D. 于2009年8月在诺克斯维尔的田纳西大学获得电子工程学士学位,并且…… 阅读更多
副教授 电 & 计算机工程
1969年获得伊利诺伊大学学士学位, 1971年在爱荷华大学获得硕士学位, Ph值.D… 阅读更多

Ph.D. 学生

Md. Reshad Ul received his BS degree in Electronic and Communication Engineering (ECE) from Khulna University of Engineering and 技术, 孟加拉国, 他在拉马尔大学获得电气工程硕士学位, 美国. 目前, he is working toward his PhD degree in 电 and 计算机工程 at bet8体育娱乐入口, 美国. 他的研究兴趣包括机器学习, 深度学习, 自然图像处理, 数字图像处理, 计算机视觉和计算机辅助检测.

丹尼尔·佩雷斯1994年出生于西班牙马德里. 他得了B.S. 2016年获得弗吉尼亚州诺福克bet8体育娱乐入口计算机工程学位. He was the top graduate student in computer engineering during the 2015-2016 academic year. 他目前是研究生研究助理和博士.D. 建模、仿真与可视化工程系学生. 他的研究主要集中在深度学习领域, 图像处理, 计算机图形学, 可视化和虚拟/增强现实. To this day, he is the author of 13 papers mainly in the areas of 深度学习 and 图像处理. Mr. 丹尼尔·佩雷斯是吉恩·纽曼杰出模特奖的获得者 & 2018年仿真研究.

Kazi Aminul Islam received his BS degree in 电 and Electronic Engineering from Khulna University of Engineering and 技术, 孟加拉国, 他在拉马尔大学获得电气工程硕士学位, 美国. 目前, he is working toward his PhD degree in 电 and 计算机工程 at bet8体育娱乐入口, 美国. 他的研究兴趣包括机器学习, 深度学习, 数字图像处理与计算机辅助检测.

吕燕毕业于北京交通大学计算机科学专业,获学士学位, 获中国科学院电路与系统专业硕士学位, 获得弗吉尼亚联邦大学计算机科学硕士学位. 她目前正在攻读建模博士学位, 模拟和可视化在bet8体育娱乐入口. 她的研究兴趣包括人工智能, 深度学习, 机器学习, 远程图像处理.

植被覆盖的沿海生态系统面积仅为0.海洋的2%, yet they are disproportionately important in sequestering organic carbon relative to other ecosystems and may account for 50% of all the carbon buried in marine sediments. Seagrass is a highly valuable component of coastal ecosystems ecologically and economically, yet reliable mapping of seagrass density is not available due to the high cost of data processing and spatial mapping. We developed a 深度学习 approach for quantification of leaf area index (LAI) levels of seagrass in coastal water using high resolution multispectral satellite images. 具体地说, a deep capsule network (DCN) is developed for simultaneous classification and quantification of seagrass based on the multispectral images. 对DCN进行了分类和回归的联合优化, 并且能够进行端到端的海草量化. We are currently developing new methodologies for domain adaptation that will enable a model trained using data from one location to be applicable globally with minimum labeled data from new location.

According to a recent report published by American Association for Advancement of Science (AAAS), cross-border conflicts in the past may appear to observers to have escalated with little or no warning. 然而,卫星图像可以反映出紧张局势的早期迹象. 目前, border monitoring is mostly done by experienced image analysts and it usually takes 2 to 4 hours for an analyst to analyze a 25 sq. 公里的区域. The main goal of automation is to substantially reduce the area to be searched and inspected. 应用研究有限责任公司, bet8体育娱乐入口(ODU), and Digital Globe (DG) work together to propose a three-step border monitoring system to detect and describe potential risks for trans-border activities. This system also supports the development of a general level assessment of potential risks, 基于中分辨率卫星图像,如Landsat或MODIS, to detect features or changes in features that may be predictors of elevated risk along an international border and offer a monitoring service. 卫星图像可用于直接检测特征(例如.g., 道路, 路径, and changes in landscape) and to look for significant changes along a border that may be indicators of elevated risk. The proposed application will provide a means to more readily examine and quantify risk over very large portions of or an entire country's international border.

PTSD is an anxiety disorder that can develop after exposure to one or more traumatic events that threatened or caused great physical harm. It is often difficult and costly to diagnose PTSD due to its varieties of symptoms and potential patients are often reluctant to seek help due to the stigma associated with it. Such a difficulty can be mitigated if a low cost and non-intrusive tool can be developed to remotely monitor the mental healthiness of the war fighters without a lengthy interview conducted by clinicians. Past research has shown several prominent features of speaking behavior and voice sound characteristics to be closely related to the severity of patients' mental illness as well as the time course of recovery from depression. 奥德和智能自动化公司. (IAI) propose to develop an advanced deep transfer learning model to automatically extract salient features from audio. Those features will be further fused with previously proved handcrafted audio features to boost PTSD diagnosis.

弗雷德里克·麦肯齐的出版物

出版刊物蒋力

教师

教授 学术事务
研究兴趣
主要研究方向:机器学习, 计算机辅助医疗诊断系统, 医疗信号/图像处理, 神经网络与建模与仿真.
Dr. 姜力获博士学位.D. degree in electrical engineering from the University of Texas at Arlington, TX, in 2004, the… 阅读更多
副教授 电 & 计算机工程
研究兴趣
主要研究方向:计算机视觉, 机器人, 图像处理, 智能系统, 数据挖掘, 网络传感器, 生物识别技术, 网络与交通流量分析, 图像及视频法证
Dr. 陈忠浩博士学位.D. 于2009年8月在诺克斯维尔的田纳西大学获得电子工程学士学位,并且…… 阅读更多
副教授 电 & 计算机工程
1969年获得伊利诺伊大学学士学位, 1971年在爱荷华大学获得硕士学位, Ph值.D… 阅读更多

Ph.D. 学生

Md. Reshad Ul received his BS degree in Electronic and Communication Engineering (ECE) from Khulna University of Engineering and 技术, 孟加拉国, 他在拉马尔大学获得电气工程硕士学位, 美国. 目前, he is working toward his PhD degree in 电 and 计算机工程 at bet8体育娱乐入口, 美国. 他的研究兴趣包括机器学习, 深度学习, 自然图像处理, 数字图像处理, 计算机视觉和计算机辅助检测.

丹尼尔·佩雷斯1994年出生于西班牙马德里. 他得了B.S. 2016年获得弗吉尼亚州诺福克bet8体育娱乐入口计算机工程学位. He was the top graduate student in computer engineering during the 2015-2016 academic year. 他目前是研究生研究助理和博士.D. 建模、仿真与可视化工程系学生. 他的研究主要集中在深度学习领域, 图像处理, 计算机图形学, 可视化和虚拟/增强现实. To this day, he is the author of 13 papers mainly in the areas of 深度学习 and 图像处理. Mr. 丹尼尔·佩雷斯是吉恩·纽曼杰出模特奖的获得者 & 2018年仿真研究.

Kazi Aminul Islam received his BS degree in 电 and Electronic Engineering from Khulna University of Engineering and 技术, 孟加拉国, 他在拉马尔大学获得电气工程硕士学位, 美国. 目前, he is working toward his PhD degree in 电 and 计算机工程 at bet8体育娱乐入口, 美国. 他的研究兴趣包括机器学习, 深度学习, 数字图像处理与计算机辅助检测.

吕燕毕业于北京交通大学计算机科学专业,获学士学位, 获中国科学院电路与系统专业硕士学位, 获得弗吉尼亚联邦大学计算机科学硕士学位. 她目前正在攻读建模博士学位, 模拟和可视化在bet8体育娱乐入口. 她的研究兴趣包括人工智能, 深度学习, 机器学习, 远程图像处理.

植被覆盖的沿海生态系统面积仅为0.海洋的2%, yet they are disproportionately important in sequestering organic carbon relative to other ecosystems and may account for 50% of all the carbon buried in marine sediments. Seagrass is a highly valuable component of coastal ecosystems ecologically and economically, yet reliable mapping of seagrass density is not available due to the high cost of data processing and spatial mapping. We developed a 深度学习 approach for quantification of leaf area index (LAI) levels of seagrass in coastal water using high resolution multispectral satellite images. 具体地说, a deep capsule network (DCN) is developed for simultaneous classification and quantification of seagrass based on the multispectral images. 对DCN进行了分类和回归的联合优化, 并且能够进行端到端的海草量化. We are currently developing new methodologies for domain adaptation that will enable a model trained using data from one location to be applicable globally with minimum labeled data from new location.

According to a recent report published by American Association for Advancement of Science (AAAS), cross-border conflicts in the past may appear to observers to have escalated with little or no warning. 然而,卫星图像可以反映出紧张局势的早期迹象. 目前, border monitoring is mostly done by experienced image analysts and it usually takes 2 to 4 hours for an analyst to analyze a 25 sq. 公里的区域. The main goal of automation is to substantially reduce the area to be searched and inspected. 应用研究有限责任公司, bet8体育娱乐入口(ODU), and Digital Globe (DG) work together to propose a three-step border monitoring system to detect and describe potential risks for trans-border activities. This system also supports the development of a general level assessment of potential risks, 基于中分辨率卫星图像,如Landsat或MODIS, to detect features or changes in features that may be predictors of elevated risk along an international border and offer a monitoring service. 卫星图像可用于直接检测特征(例如.g., 道路, 路径, and changes in landscape) and to look for significant changes along a border that may be indicators of elevated risk. The proposed application will provide a means to more readily examine and quantify risk over very large portions of or an entire country's international border.

PTSD is an anxiety disorder that can develop after exposure to one or more traumatic events that threatened or caused great physical harm. It is often difficult and costly to diagnose PTSD due to its varieties of symptoms and potential patients are often reluctant to seek help due to the stigma associated with it. Such a difficulty can be mitigated if a low cost and non-intrusive tool can be developed to remotely monitor the mental healthiness of the war fighters without a lengthy interview conducted by clinicians. Past research has shown several prominent features of speaking behavior and voice sound characteristics to be closely related to the severity of patients' mental illness as well as the time course of recovery from depression. 奥德和智能自动化公司. (IAI) propose to develop an advanced deep transfer learning model to automatically extract salient features from audio. Those features will be further fused with previously proved handcrafted audio features to boost PTSD diagnosis.

弗雷德里克·麦肯齐的出版物

出版刊物蒋力