Nazmus Sakib- PhD in Computational Science. MS in Computer and Information Science. BS in EEE
- Assistant Professor at Kennesaw State University
Nazmus Sakib
- PhD in Computational Science. MS in Computer and Information Science. BS in EEE
- Assistant Professor at Kennesaw State University
Assistant Professor of Information Technology
Kennesaw State University
About
59
Publications
38,924
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505
Citations
Current institution
Additional affiliations
August 2017 - present
Position
- Graduate Teaching Assistant
Description
- It's an exciting experience teaching Python and developing basic Data Science skill to the undergrad students at Marquette. Besides, I do encourage hard-working demeanor, effective communication, and insightful extrapolation skill of Data that impact.
January 2017 - present
Education
January 2017 - December 2018
March 2010 - October 2014
Publications
Publications (59)
BACKGROUND
Background: Using remote monitoring technology in the context of Alzheimer’s care presents exciting new opportunities to lessen caregiver stress and improve patient care quality. The application of wearables, environmental sensors, and smart home systems designed specifically for Alzheimer’s patients represents a promising interdisciplin...
Background
Using remote monitoring technology in the context of Alzheimer disease (AD) care presents exciting new opportunities to lessen caregiver stress and improve patient care quality. The application of wearables, environmental sensors, and smart home systems designed specifically for patients with AD represents a promising interdisciplinary a...
BACKGROUND
In today's intricate socio-economic landscape, working parents confront challenges in continuously supervising their children's actions, frequently turning to screen devices as a convenient substitute to keep their offspring occupied. Evidence indicates that disproportionate screen time engagement during a very early stage of life (0-3 y...
DNA damage is a critical factor contributing to genetic alterations, directly affecting human health, including developing diseases such as cancer and age-related disorders. DNA repair mechanisms play a pivotal role in safeguarding genetic integrity and preventing the onset of these ailments. Over the past decade, substantial progress and pivotal d...
The modern healthcare landscape is mainly data-driven, with clinical and consumer uses for patient data. Moreover, patient data is used for research and analytics to enhance healthcare results. Yet, this exponential expansion of data is accompanied by grave privacy risks, including data breaches and unlawful access. This chapter examines the data p...
Cardiovascular diseases (CVD) are the leading cause of death globally, and early detection can significantly improve outcomes for patients. Machine learning (ML) models can help diagnose CVDs early, but their performance is limited by the data available for model training. Privacy concerns in healthcare make it harder to acquire data to train accur...
The higher education management systems first identified and realized the trap of pitting innovation against privacy while first addressing COVID-19 social isolation challenges in 2020. In the age of data sprawl, we observe the situation has been exacerbating since then. Integrating blockchain technology has the potential to address the recent and...
The COVID-19 pandemic shows us how crucial patient empowerment can be in the healthcare ecosystem. Now, we know that scientific advancement, technology integration, and patient empowerment need to be orchestrated to realize future smart health technologies. In that effort, this paper unravels the Good (advantages), Bad (challenges/limitations), and...
Protecting personal health records is becoming increasingly important as more people use Mobile Health applications (mHealth apps) to improve their health outcomes. These mHealth apps enable consumers to monitor their health-related problems, store, manage, and share health records, medical conditions, treatment, and medication. With the increase o...
The alarmingly aggravating incidents of sepsis and septic shock, and associated mortality, morbidity, and annual treatment costs among ICU admissions are an increasing concern. SepINav is a medical informatics endeavor that helps ICU practitioners and researchers to monitor and intervene on the existing sepsis patients more efficiently and interact...
The burgeoning growth of Big Data not only matures and improves the data management efficiency and useful information extraction techniques, but also motivates the computational science researchers to come up with a new method or solution that can be repurposed for problems across the domain. Computational Sustainability joins this movement for a t...
Background
Considering morbidity, mortality, and annual treatment costs, the dramatic rise in the incidence of sepsis and septic shock among intensive care unit (ICU) admissions in US hospitals is an increasing concern. Recent changes in the sepsis definition (sepsis-3), based on the quick Sequential Organ Failure Assessment (qSOFA), have motivated...
Over the last decade, smartphones have changed radically to support us with mHealth technology, cloud computing, and machine learning algorithm. Having its multifaceted facilities, we present a novel smartphone-based noninvasive hemoglobin (Hb) level prediction model by analyzing hue, saturation and value (HSV) of a fingertip video. Here, we collec...
Autism Spectrum Disorder (ASD) is a critical problem worldwide; however, low and middle-income countries (LMICs) often suffer more from it due to the lack of contextual research and effective care infrastructure. Moreover, ASD in LMICs offers unique challenges as cultural misperceptions and social practices often impede effective care there. Howeve...
In general, humans perceive an object using colors, dimensions, geometry, and any textual information they gather. Among these four pieces of information, most of the current image recognition algorithms rely exclusively on the first three and do not use the textual information for this purpose. This research idea comparing to mimicking the human p...
Non-invasive methods in the assessment of health parameters are important for various kinds of patient, but only few expensive and inconvenient solutions are available. Investigations of non-invasive methods beginning with simple red-green-blue (RGB) imaging extending to hyperspectral camera-based image have encountered portability, usability, and...
To meet the demand of the next generation power system, renewable energy resources can be the fuel of choice because it is easily available, free of cost, environment-friendly, and the renewable energy-based generation is cost effective in all manners. There are several types of renewable energy resources such as solar, wind, geothermal, tides, and...
Since the beginning of the electrification, the fossils have been exploiting for the last hundred years on the generation of electricity. However, now in twenty first century, there is a dilemma that the reserve of combustible fossil fuel has been almost depleted and the combustion has an inevitable consequence on the environment. Hence, the renewa...
![Fig.1: University of Wisconsin Milwaukee Microgrid Testbed.[5]](profile/Md-Jakir-Hossain-3/publication/315667860/figure/fig1/AS:476749046784000@1490677238957/University-of-Wisconsin-Milwaukee-Microgrid-Testbed5_Q320.jpg)
Besides the negative impact on both the environmental and geological aspect because of the fossil fuel combustion-based power generation, the fossil fuels have almost been depleted, and hence an alternative fuel source is required. To meet the demand of the next generation power system, renewable and clean energy resources, such as solar, wind, tid...
In this letter, a novel seventh order equal ripple wideband bandstop filter (BSF) is proposed and demonstrated. This device is based on dumbbell annular ring (DAR) resonators which introduces additional magnetic coupling with quarter wavelength open circuited stubs in the conventional 50-Ω transmission line. However, introducing this DAR resonators...
This Paper illustrates the low pass filter (LPF) topology based on complementary split ring resonator (CSRR) with added slot. The introduction of a slot structure in the CSRR can not only reduce the group velocity of the transmission but also decrease the inductive reactance which results in compactness of the device by providing the transmission z...
In this letter, a compact sixth order microstrip Chebyshev short circuited stubs high pass filter (HPF) via hole grounding is proposed. It is fundamentally based on quasi-lumped short circuited stubs of an optimum commensurate line band pass filter, which widen the bandwidth of the device. Furthermore, the resonant frequency and return loss perform...
In this letter, compact microstrip Chebyshev function low pass filters (LPFs) with sharp roll-off based on annular ring resonators (ARRs) on various substrates and it's design theory are demonstrated. To fabricate ARRs, Chebyshev type - I function with fixed side lobe level (SLL) and method of moments (MOM) for numerical analysis are applied. The A...
Though natural droop control technique is a familiar technique to control the voltage and frequency droop in microgrid application, due to some limitations to handle different cases of application, at present time, it is not appreciable to the scientists and researchers world-wide and virtual droop control technique is developing into the most prom...
Cryptography, the scheme of information stashing and verification, entirely deals with protocols, algorithms and strategies to ensure the precise security facility of the signal consistently by hindering unauthorized access to the confidential information. Albeit in most of the encryption schemes, certain impediments are faced by the service provid...
To enhance the efficacy of antennas, filters and microwave circuits, EBG structures have been developed into most notable framework considering their unique electromagnetic and sophisticated properties. This article investigates the relationship between the aspect ratio of annular ring and performance of the coupled-line filter. A number of methods...
Electromagnetic Band Gap Structures (EBGs) have been developed to improve the efficiency of microwave and millimeter-wave devices, grown into most prominent framework by virtue of their unique electromagnetic and electrical properties. This article inspects the relationship between the operating performances of the low pass filter with the differen...
Electromagnetic Band Gap (EBG) structures which is an exclusive innovation in modern microwave design arena by reason of their high potential and less intricacy of designing in the microwave and millimeter-wave integrated circuits. This paper examines the relationship between the filling factor (FF) of the annular ring structure on couple-line and...
In modern microwave design sector, Electromagnetic Band Gap (EBG) structures which is a unique innovation by virtue of their high potency and low complexity in designing with integrated circuits. This article examines the relationship between operating performance of different substrates and Tschebycheff polynomial distribution. A number of methods...
A numerical approach is introduced to study the optical properties of compressively strained InGaAs/GaAs quantum well (QW) architecture for arbitrary crystal orientation by solving an eight-band k.p Hamiltonian using finite difference method including spin-orbit coupling. Euler’s rotation technique is used to modify the wave vector and Hamiltonian...
![Fig. 1: Proposed asymmetric couple-line bandpass filter by T. Itoh. [1]](profile/Nazmus-Sakib-6/publication/308867119/figure/fig1/AS:585313231589377@1516560957417/Proposed-asymmetric-couple-line-bandpass-filter-by-T-Itoh-1_Q320.jpg)
Electromagnetic Band Gap Structures have been grown into the most notable framework by virtue of their superior efficacy, less intricacy in fabrication, and unified integration with the monolithic microwave integrated circuits (MMICs). In this epistle, in sequence of our previous investigation, a certain number of novel designs of EBGS are proposed...
EBGSs, Electromagnetic Band Gap Structures, have been developed into the most prominent framework by virtue of their superior efficacy, less intricacy in fabrication, and unified integration with the monolithic microwave integrated circuits (MMICs). In this letter, a certain number of advanced designs of EBGS are introduced and characterized with s...
A numerical approach is introduced to study the optical properties of compressively strained InGaAs/GaAs quantum well (QW) architecture considering the piezoelectric (PZ) effect by solving one dimensional Schrödinger equation using finite difference method. Unitary transformation is used to modify the wave vector and strain matrix in conventional [...
Cryptography is the art of information hiding and verification to ensure precise security facility of the signal. It entirely deals with protocols, algorithms and strategies to securely and consistently avert unauthorized access to confidential information. In most of the encryption scheme, some difficulties may arise such as complexity either in e...
In the age of digital world, the issue of multimedia data security (such as digital audio signals, images, and videos) is a major concern due to the rapid development of digital communications and networking technologies. The available methods and algorithms to assure data protection are sincerely based on cryptography. To illustrate, the data prot...
Questions
Question (1)
Currently, I am delving into a research regarding COPD (Chronic obstructive pulmonary disease): Parameters and Prediction (with the application of machine learning) using MIMIC-III database. It would be a great help if someone suggests me some published research that used MIMIC-III database and looked for triangulating cohorts on top of finding one to one relationship for any disease.
