Mohammad Qtait | Sensors Phenomena and Modelling | Innovative Research Award

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Innovative Research Award

Mohammad Qtait, 
Palestine Polytechnic University, College of Nursing and Applied Sciences, Hebron, Palestine

Mohammad Qtait
Affiliation Palestine Polytechnic University
Country Palestine
Scopus ID 58184894200
Documents 48
Citations 301
h-index 9
Subject Area Nursing, Healthcare Leadership, Public Health, Sensors Phenomena and Modelling
Event Global Sensor Awards
ORCID 0000-0003-2414-7982

Mohammad Qtait is a Palestinian nurse educator, researcher, clinical instructor, and healthcare leader whose academic and professional contributions span more than two decades. His work integrates nursing management, leadership development, emergency and burn care, evidence-based practice, and public health research. Through extensive teaching, clinical leadership, curriculum development, and scholarly publication, Qtait has contributed significantly to advancing nursing education and healthcare quality within Palestine and the wider regional nursing community.[1]

Abstract

Mohammad Qtait has established a distinguished academic and clinical career through his contributions to nursing leadership, healthcare management, emergency care, burn care, and nursing education. His doctoral research on time management among intensive care unit nurses demonstrated measurable improvements in patient care quality and professional performance. Through more than fifty scholarly publications, educational leadership roles, and active involvement in healthcare training programs, Dr. Qtait has contributed to strengthening evidence-based nursing practice and healthcare service delivery. His multidisciplinary research portfolio reflects a commitment to improving patient outcomes, healthcare systems, and nursing workforce development.[2]

Keywords

Nursing Leadership, Nursing Management, Evidence-Based Practice, Public Health, Burn Care, Emergency Nursing, Time Management, Healthcare Quality, Nursing Education, Intensive Care Nursing, Clinical Research, Patient Safety, Healthcare Administration, Nursing Workforce Development.

Introduction

Healthcare systems increasingly depend on highly trained nurse leaders capable of integrating research evidence into clinical practice. Dr. Mohammad T. Qtait has emerged as a recognized academic and clinical figure in this field through his work in nursing management, leadership development, healthcare quality improvement, and emergency care. His educational contributions at Palestine Polytechnic University and Al-Quds University have helped prepare future nursing professionals while advancing nursing scholarship in Palestine.[3]

Research Profile

Qtait earned his Bachelor of Science in Nursing from Hebron University, completed a Master of Science in Nursing Management at Al-Quds University, and subsequently obtained a Doctor of Philosophy in Nursing from Arab American University. His doctoral dissertation examined the effectiveness of structured time management interventions among intensive care nurses and demonstrated positive outcomes related to quality of care delivery.[2]

His research interests encompass nursing management and leadership, adult health nursing, public health, emergency and burn care, healthcare education, quality improvement, workforce performance, evidence-based practice, and healthcare policy development. These themes are reflected throughout his publication record and research supervision activities.[3]

Research Contributions

  • Advanced understanding of time management practices among nurses and healthcare administrators.
  • Conducted influential studies on leadership styles and nursing performance.
  • Investigated emergency nursing challenges in conflict-affected healthcare settings.
  • Published systematic reviews addressing nursing leadership, burnout, and evidence-based practice.
  • Contributed to burn care epidemiology, prevention strategies, and patient quality-of-life research.
  • Supported nursing curriculum development and healthcare workforce training initiatives.
  • Supervised undergraduate and postgraduate nursing research projects leading to publications in internationally indexed journals.

Publications

Qtait has authored and co-authored more than fifty scholarly works covering nursing leadership, emergency nursing, public health, healthcare quality, burn care, mental health, infection prevention, evidence-based practice, nursing education, and healthcare administration. Representative publications include:

  • Factors Affecting Time Management and Nurses’ Performance in Hebron Hospitals (2014).
  • Knowledge and Compliance of Nursing Staff Towards Standard Precautions in Palestinian Hospitals (2015).
  • Time Management for Nurses (Book, 2017).
  • Barriers to Effective Nurse–Patient Communication in the Emergency Department (2020).
  • Head Nurses’ Leadership Styles and Nurses’ Performance: Systematic Review (2023).
  • Systematic Review of Time Management Practices Among Nurse Managers (2023).
  • Time Management Dimension for Nurses Intensive Care Unit: A Qualitative Study (2024).
  • Nurses’ Knowledge, Attitudes, and Implementation of Evidence-Based Practice Comparative Study (2025).
  • The Challenges of an Emergency Nurse Team Working in an Active Conflict Area (2025).
  • Impact of the October 7 Gaza War on Post-Traumatic Stress Symptoms and Quality of Life in Palestinian Nursing Students (2025).

Research Impact

The scholarly contributions of Qtait have influenced nursing education, workforce management, patient care quality, and healthcare policy discussions across Palestine and neighboring regions. His research has addressed critical challenges such as workforce burnout, communication barriers, leadership effectiveness, emergency preparedness, trauma-related mental health, and patient safety. Through teaching, clinical instruction, and professional training programs, he has directly contributed to healthcare capacity building and professional nursing development.[4]

Award Suitability

Mohammad T. Qtait demonstrates strong qualifications for recognition within nursing leadership, healthcare research, public health, and clinical education award categories. His combination of extensive clinical service, academic leadership, research productivity, healthcare training activities, and evidence-based practice advancement aligns with the standards typically associated with distinguished healthcare and nursing excellence awards. His sustained commitment to improving healthcare outcomes and strengthening nursing education further supports his suitability for international academic recognition.[5]

Conclusion

Mohammad T. Qtait has built a comprehensive career spanning nursing education, healthcare leadership, clinical service, and scholarly research. His work has contributed to the advancement of nursing knowledge, workforce development, healthcare quality improvement, and patient-centered care. Through sustained academic productivity, educational leadership, and clinical engagement, he continues to support the development of evidence-based nursing practice and healthcare excellence.

References

  1. Curriculum Vitae of Dr. Mohammad T. Qtait. Professional academic record including education, appointments, research activities, publications, and healthcare leadership contributions.
  2. Arab American University. Doctor of Philosophy in Nursing Dissertation: Effectiveness of Time Management Training Program on Patient Quality of Care Performed by Nurses Working in Intensive Care Units in the West Bank Government Hospitals.
  3. Palestine Polytechnic University, College of Nursing and Applied Sciences. Academic profile and teaching contributions of Dr. Mohammad T. Qtait.
  4. Qtait, M., et al. Selected peer-reviewed publications in nursing leadership, emergency nursing, public health, evidence-based practice, and healthcare quality improvement (2014–2025).
  5. Elsevier. (n.d.). Scopus Author Details: Mohammad T. Qtait, Author ID 58184894200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58184894200
  6. Qtait, M., Alqaissi, N., Farajalla, F., et al. (2025). Impact of the October 7 Gaza War on Post-Traumatic Stress Symptoms and Quality of Life in Palestinian Nursing.
    DOI: https://doi.org/10.1038/s41598-025-18039-1

Ms. Lixiang Chen | Analysis Award | Best Researcher Award

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Ms. Lixiang Chen | Analysis Award | Best Researcher Award

Ms. Lixiang Chen | Analysis Award | Taiyuan University of Technology | China

Ms. Lixiang Chen is an accomplished researcher and academician currently serving at Taiyuan Institute of Technology, China, where she has been a dedicated faculty member contributing to the advancement of economic and technological research. With a Ph.D. in Economics, Ms. Lixiang Chen has developed extensive expertise in innovation networks, performance budgeting systems, defense resource allocation, and strategic economic management, emphasizing how macroeconomic frameworks can optimize technological growth and policy execution. Her academic journey has been marked by her deep analytical insight into economic behavior modeling and technology policy development, enabling her to bridge the gap between theoretical economics and practical industrial applications. Professionally, Ms. Chen has participated in multiple interdisciplinary projects and international collaborations that explore the intersection of innovation economics, resource allocation mechanisms, and the emerging new energy vehicle industry, contributing significantly to both academic and policy discourse. Her research interests include innovation networks within industrial ecosystems, performance-based budgeting for governmental and defense sectors, and sustainable economic planning, all of which align closely with the global shift toward smart and sustainable economic transformation. In terms of research skills, Ms. Chen is proficient in quantitative data analysis, econometric modeling, policy evaluation, and cross-disciplinary research synthesis, enabling her to produce impactful, data-driven research outcomes that are both academically rigorous and policy-relevant. Her body of work has been recognized through multiple peer-reviewed publications in high-impact journals indexed in Scopus and IEEE, establishing her as a respected contributor to the fields of economics, technology management, and innovation systems.

Professional Profile: ORCID

Selected Publications

  1. Chen, L. (2025). Innovation Networks in the New Energy Vehicle Industry: A Dual Perspective of Collaboration Between Supply Chain and Executive Networks. World Electric Vehicle Journal. Cited by: 3

  2. Chen, L. (2021). The Evolution and Implications of the Planning, Programming, Budgeting, and Execution System. China Economist. Cited by: 8

  3. Chen, L. (2021). The Impact of Performance Budgeting on Defense Resource Allocation. International Journal of Economic Behavior and Organization. Cited by: 12

  4. Chen, L. (2020). PPBE: Research on Operation and Latest Development. American Journal of Theoretical and Applied Business. Cited by: 6

  5. Chen, L. (2020). The U.S. Department of Defense’s “Medium-Term Expenditure Framework” and Its Implications. National Defense Science & Technology. Cited by: 5

Dr. Yue Wang | Sensor development Award | Best Researcher Award

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Dr. Yue Wang | Sensor development Award | Best Researcher Award 

Dr. Yue Wang, University of Science and Technology Liaoning, China

Dr. Yue Wang is an Associate Professor at the School of Chemical Engineering at the University of Science and Technology Liaoning in China. He earned his Bachelor’s degree from the University of Science and Technology Anshan and both his Master’s and Doctorate degrees from the University of Science and Technology Liaoning and Saitama Institute of Technology, Japan, respectively. Since joining the University of Science and Technology Liaoning in 2006, Dr. Wang has focused his research on sensors and biosensors, biofuel cells, supercapacitors, energy harvesting, and artificial muscles. His work has resulted in over 60 published scientific papers, garnering approximately 600 citations, reflecting his significant contributions to the field. Dr. Wang has secured multiple research grants from various institutions, including the Education Department of Liaoning Province and the Natural Science Foundation of Liaoning Province, to advance his projects on conductive sensors, pesticide sensors, electrochemical biosensors, and wearable smart sensing technologies. Additionally, he completed a visiting scholarship at the University of Texas at Dallas in 2019-2020, further enhancing his academic and research expertise.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Yue Wang

Yue Wang is an exemplary candidate for the Best Researcher Award, primarily due to his substantial academic qualifications, extensive research contributions, and impactful work in the field of Material Science, specifically within sensor and biosensor technologies.

Education

  • Bachelor’s Degree in Material Science
    University of Science and Technology Anshan, China
    September 1998 – July 2002
  • Master’s Degree in Material Science
    University of Science and Technology Liaoning, China
    September 2003 – March 2006
  • Ph.D. in Material Science
    Saitama Institute of Technology, Japan
    April 2008 – March 2011

Work Experience

  • Associate Professor
    University of Science and Technology Liaoning, China
    April 2006 – Present
  • Visiting Scholar
    University of Texas at Dallas
    April 2019 – March 2020

Publication top Notes:

A carbon black–doped chalcopyrite–based electrochemical sensor for determination of hydrogen peroxide

Glucose oxidase, horseradish peroxidase and phenothiazine dyes-co-adsorbed carbon felt-based amperometric flow-biosensor for glucose

Crab gill–derived nanorod-like carbons as bifunctional electrochemical sensors for detection of hydrogen peroxide and glucose

Cellulose-derived hierarchical porous carbon based electrochemical sensor for simultaneous detection of catechol and hydroquinone

A triphenylamine based fluorescent probe for Zn2+ detection and its applicability in live cell imaging

1,8-naphthalimide-triphenylamine-based red-emitting fluorescence probes for the detection of hydrazine in real water samples and applications in bioimaging in vivo

Assist Prof Dr. Loknath Sai Ambati | Activity detection Award | Best Researcher Award

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Assist Prof Dr. Loknath Sai Ambati | Activity detection Award | Best Researcher Award 

Assist Prof Dr. Loknath Sai Ambati, Oklahoma City University, United States

Dr. Loknath Sai Ambati is an accomplished academic and researcher specializing in Information Systems and Data Analytics. Currently serving as an Assistant Professor of Data Analytics at Oklahoma City University, Dr. Loknath Sai Ambati holds a Doctor of Philosophy in Information Systems, with a specialization in Artificial Intelligence, from Dakota State University, where they also earned two master’s degrees in Information Systems and Data Analytics. With over five years of teaching experience, they have instructed various courses at both undergraduate and graduate levels, focusing on business analytics, healthcare analytics, and social media mining.The Activity Detection Award celebrates innovations in behavioral recognition technology. Explore eligibility, qualifications, publications, and submission guidelines for this esteemed recognition.

Professional Profile:

SCOPUS

 

Summary of Suitability for Best Researcher Award: Loknath Sai Ambati

Based on Loknath Sai Ambati’s impressive educational background, research contributions, and professional experience, he is a highly suitable candidate for the Best Researcher Award.

Education

Dakota State University, Madison, South Dakota
Doctor of Philosophy in Information Systems (Artificial Intelligence)
Master of Science in Information Systems
Master of Science in Data Analytics
GPA: 4.0/4.0
August 2018 – April 2023 (PhD)
August 2019 – December 2020 (MS in Information Systems)
August 2016 – December 2017 (MS in Data Analytics)

VIT University, Chennai, India
Bachelor of Technology in Electronics and Communication Engineering
GPA: 8.55/10
July 2012 – May 2016

Work Experience

Assistant Professor of Data Analytics
Oklahoma City University
September 2023 – Present

  • Teaching graduate-level Data Analytics courses.
  • Engaging in research activities related to Information Systems and Data Analytics.
  • Participating in service activities, including serving on review committees for various conferences and journals.
  • Serving as the Faculty Advisor for the Indian Student Association at OCU.

Visiting Assistant Professor of Business Analytics
Indiana University
May 2022 – August 2023

  • Teaching various Business Analytics courses at both undergraduate and graduate levels.
  • Conducting research activities in healthcare and social media analytics.
  • Participating in service activities, including serving on review committees for conferences and journals.

Graduate Research Assistant
Dakota State University
August 2018 – May 2022

  • Worked on innovations in wearable technology integrated with Artificial Intelligence for healthcare.
  • Assisted the supervisor with research projects and interacted with students regarding course content.
  • Volunteered as an instructor for certain courses as needed.

Analytics Developer
Baylor Scott and White Health
February 2018 – August 2018

  • Applied machine learning algorithms to denial data, achieving savings of up to $0.5 million on denials.
  • Implemented statistical models to reduce denial claims and enhance revenue efficiency.
  • Analyzed correlations between physician coding behaviors and Medicare Risk Adjustment Factor (RAF) scores.
  • Technologies used: Power BI, R, SAS, Python, SQL, MicroStrategy, Advanced Excel.

Publication top Notes:

Human Body Full-body Motion Gesture Image Feature Capture in Mobile Sensor Networks

Intrusion Detection System: A Comparative Study of Machine Learning-Based IDS

Explosive force acquisition of sprinter lower limb in training based on WSN

Two-phase classification: ANN and A-SVM classifiers on motor imagery BCI

Optimal trained long short-term memory for opinion mining: a hybrid semantic knowledgebase approach

FHE-Blockchain: Enhance the Scheme for Secret Sharing of IoMT Data using Decentralized Techniques

Design of Civil Aviation Security Check Passenger Identification System Based on Residual Convolution Network