Miad Faezipour

Purdue University | Purdue · Department of Electrical and Computer Engineering Technology (ECET)

Monitoring breath and identifying breathing movements have settled importance in many biomedical research areas, especially in the treatment of those with breathing disorders, e.g., lung cancer patients. Moreover, virtual reality (VR) revolution and their implementations on ubiquitous hand-held devices have a lot of implications, which could be use...

Breathing disorders are generally associated with the lung cancer disease. Through daily treatment, lung cancer patients often use a traditional spirometer to measure their lung capacity. However, the use of a spirometer device for accurate measurement requires some sort of training and adjustment, which may be inconvenient for certain groups of pa...

Most conventional packet classifiers find only the highest priority filter that matches the arriving packet. However, new networking applications such as network intrusion detection systems and load balancers require all (or the first few) matching packets during classification. In this paper, two TCAM-based architectures for multi-match search are...

Some of the significant advancements and challenges faced in intelligent vehicle area networks (VAN) in the US are discussed. The main focus is on the latest developments of intelligent transportation systems (ITS) for intra-vehicle and inter-vehicle-area-networks to assist driver safety. Intra (In-Vehicle) VAN are becoming necessary components of...

Recent trends in clinical and telemedicine applications highly demand automation in electrocardiogram (ECG) signal processing and heart beat classification. A patient-adaptive cardiac profiling scheme using repetition-detection concept is proposed in this paper. We first employ an efficient wavelet-based beat-detection mechanism to extract precise...

The prevalence of skin diseases remains a concern, leading to a rising demand for the advancement of smart, portable, and non-invasive automated systems and applications. These sought-after technologies allow for the screening of skin lesions through captured images, offering improved and accessible healthcare solutions. Clinical methods include vi...

This paper presents a highly scalable and rack-mountable wireless sensing system for long-term monitoring (i.e., sense and estimate) of small animal/s' physical state (SAPS), such as changes in location and posture within standard cages. The conventional tracking systems may lack one or more features such as scalability, cost efficiency, rack-mount...

This paper presents an automatic camera-based device to monitor and evaluate the gait speed, standing balance, and 5 Times Sit-Stand (5TSS) tests of the Short Physical Performance Battery (SPPB) and the Timed Up and Go (TUG) test. The proposed design measures and calculates the parameters of the SPPB tests automatically. The SPPB data can be used f...

This paper proposes a novel mathematical theory of adaptation to convexity of loss functions based on the definition of the condense-discrete convexity (CDC) method. The developed theory is considered to be of immense value to stochastic settings and is used for developing the well-known stochastic gradient-descent (SGD) method. The successful cont...

Diabetes affects an estimated 34.2 million people (10.5 percent of the United States population) and is the seventh leading cause of death. Diabetes complications often lead to hospitalization and impaired quality of life due to vascular damage. Physical activity is highly recommended to prevent and treat diabetes complications. Recently, self-moni...

Chronic kidney disease (CKD) is one of the most prevalent national health problems in the United States. According to the Center for Disease Control and Prevention (CDC), as of 2019, 37 million of the US’s adult population have been estimated to have CKD. In this respect, health disparities are major national concerns regarding the treatments for p...

The USA is confronted with three epic-size problems: (1) the need for production of energy on a scale that meets the current and future needs of the nation, (2) the need to confront the climate crisis head-on by only producing renewable, green energy, that is 100% emission-free, and (3) the need to forever forestall the eruption of the Yellowstone...

In the nervous system synapses play a critical role in computation. In neuromorphic systems, biologically inspired hardware implementations of spiking neural networks, electronic synaptic circuits pass signals between silicon neurons by integrating pre-synaptic voltage pulses and converting them into post-synaptic currents, which are scaled by the...

This work is a unique integration of three different areas, including smart eye status monitoring, supply chain operations reference (SCOR), and system dynamics, to explore the dynamics of the supply chain network of smart eye/vision monitoring systems. Chronic eye diseases such as glaucoma affect millions of individuals worldwide and, if left untr...

Neuronal spikes are referred to as the electric activity of neurons (in terms of voltage) in response to various biological events such as the sodium and calcium ionic current channels in the brain. Currently, both biological models as well as mathematical models of neuronal spiking patterns have been introduced in the literature. However, very lit...

This paper proposes a systems engineering perspective to analyze the causes of COVID-19 health disparities impact and interventions to minimize the impact on minorities. The impact of the novel coronavirus has shown to be more intense on minorities. The percentage of COVID-19 case count and fatality rate for minorities is much higher than that of t...

An efficient and distortionless partitioning scheme for the Partial Transmit Sequence (PTS) method is proposed to control the nonlinear property producing other peaks in the Orthogonal Frequency Division Multiplexing (OFDM) transmit signal. The approach is flexible and works with a limited and controlled number of subcarriers and can significantly...

Ever since the COVID-19 pandemic has majorly altered diagnosis and prognosis practices, the need for telemedicine and mobile/electronic health has never been more appreciated. Drastic complications of the pandemic such as burdens on the social and employment status resulting from extended quarantine and physical distancing, has also negatively impa...

Cardiovascular diseases have been reported to be the leading cause of mortality across the globe. Among such diseases, Myocardial Infarction (MI), also known as “heart attack”, is of main interest among researchers, as its early diagnosis can prevent life threatening cardiac conditions and potentially save human lives. Analyzing the Electrocardiogr...

Currently robotic motion control algorithms are tedious at best to implement, are lacking in automatic situational adaptability, and tend to be static in nature. Humanoid (human-like) control is little more than a dream, for all, but the fastest computers. The main idea of the work presented in this paper is to define a radically new, simple, and c...

Electrocardiogram (ECG) gives essential information about different cardiac conditions of the human heart. Its analysis has been the main objective among the research community to detect and prevent life threatening cardiac circumstances. Traditional signal processing methods, machine learning and its subbranches, such as deep learning, are popular...

In recent years, the Internet of things has become an urgent need in all of the things that a person needs with the least effort and time. It covers in several areas, including controlling traffic and parking, following up on general and private buildings that what you need of periodic maintenance, and reducing energy through using lighting Smart....

With the rapid growth of technology and the advances in smart healthcare, patients nowadays struggle with finding suitable smart healthcare interfaces that offer the most effective and manageable personalized care. System dynamics (SD) investigates the behavior of various factors of a system and thus, can offer plausible solutions in this regard. T...

Recent technological developments along with advances in smart healthcare have been rapidly changing the healthcare industry and improving outcomes for patients. To ensure reliable smartphone-based healthcare interfaces with high levels of efficacy, a system dynamics model with sustainability indicators is proposed. The focus of this paper is smart...

Telemedicine could be a key to control the world-wide disruptive and spreading novel coronavirus disease (COVID-19) pandemic. The COVID-19 virus directly targets the lungs, leading to pneumonia-like symptoms and shortness of breath with life-threatening consequences. Despite the fact that self-quarantine and social distancing are indispensable duri...

Despite the successful contributions in the field of network intrusion detection using machine learning algorithms and deep networks to learn the boundaries between normal traffic and network attacks, it is still challenging to detect various attacks with high performance. In this paper, we propose a novel mathematical model for further development...

INTRODUCTION: Glaucoma, the silent thief of vision, is mostly caused by the gradual increase of pressure in the eye which is known as Intraocular Pressure (IOP). An effective way to prevent the rise in eye pressure is by early detection. Prior computer vision-based work regarding IOP rely on fundus images of the optic nerves. OBJECTIVE: This paper...

Faculty Research Day, University of Bridgeport Faculty Competitive Poster

The security of networked systems has become a critical universal issue that influences individuals, enterprises and governments. The rate of attacks against networked systems has increased dramatically, and the tactics used by the attackers are continuing to evolve. Intrusion detection is one of the solutions against these attacks. A common and ef...

Recently, cybersecurity threats have increased dramatically and the techniques used by the attackers continue to evolve and become ingenious during the attack. Moreover, the complexity and frequent occurrence of imbalanced class distributions in most datasets indicate the need for extra research efforts. The objective of this paper is to utilize va...

The hyperkinetic symptoms of Parkinson’s Disease (PD) are associated with the ensembles of interacting oscillators that cause excess or abnormal synchronous behavior within the Basal Ganglia (BG) circuitry. Delayed feedback stimulation is a closed loop technique shown to suppress this synchronous oscillatory activity. Deep Brain Stimulation (DBS) v...

Neuronal dynamics, firing patterns, LFP recordings, PSD and EC data. (PDF)

Intraocular pressure (IOP) in general refers to the pressure in the eyes. Gradual increase of IOP and high IOP are conditions/symptoms that may lead to certain diseases such as glaucoma and therefore must be closely monitored. While the pressure in the eye increases, different parts of the eye may become affected until the eye parts are damaged. An...

BACKGROUND Social Networking Sites (SNS) such as Twitter are widely used by diverse demographic populations. The amount of data within SNS has created an efficient resource for real-time analysis. Thus, SNS data can be used effectively to track disease outbreaks and provide necessary warnings. Current SNS-based flu detection and prediction framewor...

Abstract Intraocular pressure (IOP) in general refers to the pressure in the eyes. Gradual increase of IOP and high IOP are conditions/symptoms that may lead to certain diseases such as glaucoma and therefore must be closely monitored. While the pressure in the eye increases, different parts of the eye may become affected until the eye parts are da...

Social Networking Sites (SNS) such as Twitter are widely used by users of diverse ages. The rate of the data in SNS has made it become an efficient resource for real-time analysis. Thus, SNS data can effectively be used to track disease outbreaks and provide necessary warnings earlier than official agencies such as the American Center of Disease Co...

Neural oscillations within the Basal Ganglia (BG) circuitry are associated with Parkinson’s Disease (PD) and are observable through the Local Field Potential (LFP) of the Subthalamic Nucleus (STN) or Globus Pallidus externa (GPe) neurons. LFP amplitude modulation in a delayed feedback protocol for Deep Brain Stimulation (DBS) is shown to destabiliz...

This paper presents a novel framework to detect the status of intraocular pressure (normal/high) using solely frontal eye image analysis. The framework is based on machine learning approaches to extract six features from frontal eye images. These features include Pupil/Iris ratio, red area percentage, mean redness level of the sclera, and three nov...

Early prediction of seasonal epidemics such as influenza may reduce their impact in daily lives. Nowadays, the web can be used for surveillance of diseases. Search engines and social networking sites can be used to track trends of different diseases seven to ten days faster than government agencies such as Center of Disease Control and Prevention (...

To investigate how different types of neurons can produce well-known spiking patterns, a new computationally efficient model is proposed in this paper. This model can help realize the neuronal interconnection issues. The model can demonstrate various neuronal behaviors observed in vivo through simple parameter modification. The behaviors include to...

This paper introduces an efficient digital system design using hardware concepts to filter the Electrocardiogram (ECG) signal and to detect QRS complex (beats). The system implementation has been done using a Field Programmable Gate Array (FPGA) in two phases. In the first phase, Finite Impule Response (FIR) filters are designed for preprocessing a...

Deep brain stimulation (DBS) has compelling results in the desynchronization of the basal ganglia neuronal activities and thus, is used in treating the motor symptoms of Parkinson's disease (PD). Accurate definition of DBS waveform parameters could avert tissue or electrode damage, increase the neuronal activity and reduce energy cost which will pr...

Influenza and flu can be serious problems, and can lead to death, as hundred thousands of people die every year due to seasonal flu. An early warning may help to prevent the spread of flu in the population. This kind of warning can be achieved by using social media data and big data tools and techniques. In this paper, a MapReduce and Spark-based a...

This work represents the design and verification of three different finite impulse response (FIR) filter implementations for removing the noise of electrocardiogram (ECG) signals. Generally, ECG signals may be contaminated with different noise sources such as body movement and respiration, electromyography (EMG) interference, power line interferenc...

To investigate how different types of neurons in brain can produce well known spiking patterns, a new computationally efficient model is proposed in this poster.

This poster aims to suggest an effective way to detect falls by using a wearable device of which the major components are: 3-axial accelerometer, Arduino Uno, and GPS-GSM device. Apart from that, a buzzer is also integrated to notify nearby people for assistance.

Sleep specialists often conduct manual sleep stage scoring by visually inspecting the patient's neurophysiological signals collected at sleep labs. This is, generally, a very difficult, tedious and time-consuming task. The limitations of manual sleep stage scoring have escalated the demand for developing Automatic Sleep Stage Classification (ASSC)...