Jacob Kwaku Nkrumah | Detection and Prevention | Best Researcher Award

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Dr. Jacob Kwaku Nkrumah | Detection and Prevention | Best Researcher Award

Ph.D student at Jiangsu University, Zhenjiang, China

Dr. Jacob Kwaku Nkrumah is a dedicated academic and researcher specializing in automotive and mechanical engineering. He is currently pursuing a Ph.D. in Vehicle Engineering at Jiangsu University, China, with anticipated completion in December 2024. Dr. Nkrumah holds advanced degrees, including an MPhil in Automotive Engineering and Technology and an M-Tech in Mechanical Engineering Education, complemented by a robust background in teaching and curriculum development. His research focuses on automotive safety systems, innovative engineering solutions, and materials science, with multiple publications in esteemed journals. Dr. Nkrumah’s professional experience includes roles as a lecturer at Tamale Technical University and as a teacher in Ghana’s education system, showcasing his passion for knowledge dissemination and academic excellence.

 

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Education

Dr. Jacob Kwaku Nkrumah has an impressive educational background that highlights his dedication to advancing his expertise in mechanical and automotive engineering. He is currently pursuing a Ph.D. in Vehicle Engineering at Jiangsu University, Zhenjiang, China, with completion expected in December 2024. He holds an MPhil in Automotive Engineering and Technology (2021) and an M-Tech in Mechanical Engineering Education (2014), both from the University of Education, Winneba, Ghana. In addition, he earned a Diploma in Education from the same institution in 2016. Dr. Nkrumah further strengthened his technical foundation with a B-Tech in Automobile Engineering (2011) from Kwame Nkrumah University of Science and Technology, Kumasi, Ghana, and an HND in Mechanical Engineering (2003) from Tamale Technical University, Ghana. His academic achievements underscore a strong commitment to research and education in engineering disciplines.

Experience

Dr. Jacob Kwaku Nkrumah has extensive teaching and academic experience that spans nearly two decades, showcasing his dedication to education and engineering. From 2017 to 2021, he served as a lecturer in the Automotive Engineering Department at Tamale Technical University, Ghana, where he taught courses such as Engineering Mathematics, Engineering Science, and Engineering Physics. Prior to this, he worked with the Ghana Education Service, first as a teacher at Krachi Senior High School (2012–2017), where he taught Mathematics and Physics, and earlier at Kogni Junior High School (2004–2016), where he was responsible for teaching Science and Mathematics. Dr. Nkrumah began his professional journey as a National Service Personnel at Debokpa Vocational Institute, Tamale, from 2003 to 2004. His diverse roles have equipped him with strong classroom management, conflict resolution, and curriculum development skills, which reflect his commitment to academic excellence and the advancement of engineering education.

Research Interests

Dr. Jacob Kwaku Nkrumah’s research interests are primarily focused on automotive engineering, vehicle safety systems, and mechanical engineering innovations. His work explores the development and enhancement of automotive technologies, particularly in the areas of intelligent lighting systems, headlight beam intensity control, and sensor-based automatic systems for improved driving safety and efficiency. Dr. Nkrumah is also deeply involved in material science, with research on the modal and thermal analysis of components like the internal combustion engine’s connecting rod. His studies aim to contribute to the advancement of vehicle performance, safety, and energy efficiency, as well as the broader field of mechanical engineering through the application of finite element methods and other engineering simulation techniques.

Skills

Dr. Jacob Kwaku Nkrumah possesses a diverse set of skills that enhance his effectiveness as both an educator and a researcher. He is adept at preparing comprehensive lesson notes and has strong classroom management abilities, ensuring a productive and focused learning environment. His skills in conflict management within the classroom have been key in maintaining harmony and fostering effective student engagement. Additionally, Dr. Nkrumah has significant experience in curriculum development, where he has contributed to shaping educational frameworks to meet modern engineering standards. These skills complement his research expertise and his ability to teach complex engineering concepts effectively, making him a well-rounded academic professional.

Awards

Dr. Jacob Kwaku Nkrumah has earned recognition for his outstanding contributions to the field of automotive and mechanical engineering. His dedication to research and education has led to multiple publications in prestigious journals, highlighting his innovative work in automotive safety systems and mechanical engineering. While specific awards are not listed, Dr. Nkrumah’s academic achievements, including his Ph.D. candidacy and successful research projects, reflect his commitment to advancing knowledge and excellence in engineering. His work continues to garner attention and contributes significantly to the academic community, particularly in the realm of vehicle engineering and safety technologies.

 

Publication Top Noted

Title: Assessing the Skills of Roadside Mechanics in Diagnosing and Fixing Problems of Modern Electronic Managed Vehicles in Ghana (Tamale Metropolis)

  • Authors: B Ziblim, J Nkrumah, I Imoro
  • Journal: American Scientific Research Journal for Engineering, Technology, and …
  • Cited by: 7
  • Year: 2018

Title: The evolution of vehicle pneumatic vibration isolation: A systematic review

  • Authors: VA Atindana, X Xu, AN Nyedeb, JK Quaisie, JK Nkrumah, SP Assam
  • Journal: Shock and Vibration
  • Volume: 2023(1)
  • Article Number: 1716615
  • Cited by: 6
  • Year: 2023

Title: A novel semi-active control of an integrated chassis and seat quasi-zero stiffness suspension system for off-road vehicles

  • Authors: VA Atindana, X Xu, NJ Kwaku, A Akayeti, X Jiang
  • Journal: Journal of Vibration and Control
  • Article Number: 10775463231224835
  • Cited by: 5
  • Year: 2024

Title: Analysis of the material properties of vehicle suspension coil spring

  • Authors: I Imoro, JK Nkrumah, B Ziblim, AH Mohammed
  • Journal: World Journal of Engineering and Technology
  • Volume: 11
  • Issue: 4
  • Pages: 827-858
  • Cited by: 4
  • Year: 2023

Title: Experimental design and optimization of pneumatic low-frequency driver seat for off-road vehicles: quasi-zero negative stiffness and gray wolf optimization algorithm

  • Authors: VA Atindana, X Xu, L Huan, A Nirere, AN Nyedeb, JK Quaisie, NJ Kwaku, …
  • Journal: Journal of the Brazilian Society of Mechanical Sciences and Engineering
  • Volume: 45
  • Cited by: 4
  • Year: 2023

Title: Review of Suspension Control and Simulation of Passive, Semi-Active and Active Suspension Systems Using Quarter Vehicle Model

  • Authors: DIO Jacob Kwaku Nkrumah, Kwabla Sherry Amedorme, Baba Ziblim
  • Journal: American Academic Scientific Research Journal for Engineering, Technology …
  • Cited by: 2
  • Year: 2022

Title: A review of automotive intelligent and adaptive headlight beams intensity control approaches

  • Authors: JK Nkrumah, Y Cai, A Jafaripournimchahi
  • Journal: Advances in Mechanical Engineering
  • Volume: 16
  • Issue: 4
  • Article Number: 16878132231220355
  • Cited by: 1
  • Year: 2024

Conclusion

Dr. Jacob Kwaku Nkrumah exemplifies the qualities of an outstanding researcher. His dedication to advancing automotive safety and efficiency, combined with his academic contributions and educational impact, make him a strong contender for the Best Researcher Award. His work addresses critical challenges in engineering, offering innovative solutions with practical applications, which aligns with the award’s mission to recognize excellence in research.

Boquan Li | Cyber Threat | Best Researcher Award

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Dr. Boquan Li | Cyber Threat | Best Researcher Award

Assistant Professor at College of Computer Science and Technology, Harbin Engineering University, China

Dr. Boquan Li is a Tenure Track Associate Professor at the College of Computer Science and Technology, Harbin Engineering University, where he has served since January 2024. Prior to this, he was a Research Scientist at the School of Computing and Information Systems, Singapore Management University, from April 2022 to December 2023. Dr. Li holds a Ph.D. in Information Engineering from the University of Chinese Academy of Sciences and a Bachelor of Engineering from Harbin Engineering University. His research interests focus on artificial intelligence, cybersecurity, deepfake detection, and speaker recognition, with numerous publications in leading international conferences and journals. Dr. Li is also an active peer reviewer for prestigious journals like IEEE Transactions on Software Engineering.

Profile:

Education:

Dr. Boquan Li holds a Doctor of Philosophy (Ph.D.) from the University of Chinese Academy of Sciences, where he specialized in Information Engineering at the Institute of Information Engineering. He completed his Ph.D. in January 2022, building a strong foundation in artificial intelligence, cybersecurity, and data science. Prior to his doctoral studies, Dr. Li earned a Bachelor of Engineering degree from the School of Software at Harbin Engineering University in June 2016. His comprehensive academic background has equipped him with expertise in cutting-edge technologies, enabling him to contribute significantly to research in AI and cybersecurity.

Professional Experience:

Dr. Boquan Li has a diverse professional background in both academia and research. Since January 2024, he has been serving as a Tenure Track Associate Professor at the College of Computer Science and Technology, Harbin Engineering University, where he contributes to teaching and research in artificial intelligence and cybersecurity. Prior to this role, Dr. Li worked as a Research Scientist at the School of Computing and Information Systems, Singapore Management University, from April 2022 to December 2023. In this capacity, he was involved in cutting-edge research on deepfake detection, speaker recognition, and digital forensics. His professional experience highlights his expertise in developing innovative solutions to cybersecurity challenges and advancing research in AI-driven technologies.

Research Interests:

Dr. Boquan Li’s research interests focus on cutting-edge areas of artificial intelligence, cybersecurity, and multimedia forensics. He is particularly interested in deepfake detection, where he explores the vulnerabilities and robustness of detection systems across various domains. His work also covers speaker recognition, digital forensics, and adversarial attacks, aiming to develop defense mechanisms against cyber threats. Additionally, Dr. Li has a strong interest in cross-modal fusion techniques, particularly in audio-visual speech recognition, and domain adaptation methods for enhancing the accuracy of AI models across diverse datasets. His research contributes to advancing secure and reliable AI systems.

Skills:

Dr. Boquan Li possesses a diverse skill set that encompasses advanced computational techniques and a robust understanding of artificial intelligence and machine learning algorithms. He is proficient in developing and implementing deep learning models, particularly for applications in image and audio processing. His expertise extends to cybersecurity measures, with a focus on identifying vulnerabilities in AI systems and creating effective defense strategies against adversarial attacks. Additionally, Dr. Li is skilled in data analysis and statistical methods, enabling him to interpret complex datasets and derive meaningful insights. His strong programming skills in languages such as Python and proficiency with machine learning frameworks like TensorFlow and PyTorch further enhance his research capabilities in the field of computer science and technology.

Conclusion:

Dr. Boquan Li’s research addresses critical issues in AI security, deepfake detection, and adversarial defenses, areas of increasing importance in today’s technological landscape. His innovative work, combined with his academic and research experience, positions him as a strong candidate for the Best Researcher Award. His contributions have practical applications in cybersecurity and AI ethics, demonstrating both academic excellence and real-world impact.

Publication Top Noted:

  • How Generalizable are Deepfake Image Detectors? An Empirical Study
  • Two-stage Semi-supervised Speaker Recognition with Gated Label Learning
    • Authors: Xingmei Wang, Jiaxiang Meng, Kong Aik Lee, Boquan Li, Jinghan Liu
    • Year: 2024
    • Conference: International Joint Conference on Artificial Intelligence
    • Type: Conference paper
  • Assessing Backdoor Risk in Deepfake Detectors
    • Authors: Jiawen Wang, Boquan Li, Min Yu, Kam-Pui Chow, Jianguo Jiang, Fuqiang Du, Xiang Meng, Weiqing Huang
    • Year: 2024
    • Conference: IFIP WG 11.9 International Conference on Digital Forensics
    • Type: Conference paper
  • CATNet: Cross-Modal Fusion for Audio–Visual Speech Recognition
    • Authors: Xingmei Wang, Jiachen Mi, Boquan Li, Yixu Zhao, Jiaxiang Meng
    • Year: 2024
    • Journal: Pattern Recognition Letters
    • DOI: 10.1016/j.patrec.2024.01.002
  • A Residual Fingerprint-Based Defense Against Adversarial Deepfakes
  • FakeFilter: A Cross-Distribution Deepfake Detection System with Domain Adaptation
    • Authors: Jianguo Jiang, Boquan Li, Baole Wei, Gang Li, Chao Liu, Weiqing Huang, Meimei Li, Min Yu
    • Year: 2021
    • Journal: Journal of Computer Security
    • DOI: 10.3233/jcs-200124
  • Restoration as a Defense Against Adversarial Perturbations for Spam Image Detection
    • Authors: Jianguo Jiang, Boquan Li, Min Yu, Chao Liu, Weiqing Huang, Lejun Fan, Jianfeng Xia
    • Year: 2019
    • Conference: International Conference on Artificial Neural Networks
    • DOI: 10.1007/978-3-030-30508-6_56

Hafiz Jamil | Cyber Threat | Best Researcher Award

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Dr. Hafiz Jamil | Cyber Threat | Best Researcher Award

Data Scientist at Home, United States

Dr. Hafiz Jamil is a highly accomplished researcher and engineer specializing in Electronic Engineering with a focus on Data Science, AI-driven Intelligent Systems, IoT, and Renewable Energy Solutions. With over nine years of experience, he has led numerous national and international projects, successfully developing advanced energy management systems that incorporate blockchain and AI technologies. Dr. Jamil has a proven track record in optimizing real-time data analytics, enhancing operational efficiency, and driving sustainability in energy systems. He holds a Ph.D. in Electronic Engineering, along with a Master’s in Electrical Engineering and a Bachelor’s in Electronic Engineering. Additionally, he has received multiple awards for his research excellence and is a published author in prestigious scientific journals.

Profile:

Education:

Dr. Hafiz Jamil holds a Doctor of Philosophy (Ph.D.) in Electronic Engineering, specializing in advanced energy management solutions, IoT, and intelligent systems. He also earned a Master of Science (M.Sc.) in Electrical Engineering, where he focused on integrating AI and blockchain technologies into energy systems. His academic journey began with a Bachelor of Science (B.Sc.) in Electronic Engineering. In addition to his formal degrees, Dr. Jamil has pursued specialized certifications in fields such as Advanced Machine Learning, Blockchain for Energy, Python for Data Science, MATLAB for Engineers, and IoT System Architecture.

Professional Experience:

Dr. Hafiz Jamil possesses extensive professional experience in the fields of Electronic Engineering, Data Science, and Renewable Energy Solutions. Currently serving as a Research and Development Engineer at KETEP’s Big Data Research Center in South Korea, he has spearheaded the integration of big data analytics and IoT systems, significantly enhancing operational efficiency by reducing latency and downtime. His key accomplishments include developing advanced energy management solutions that incorporate blockchain and AI technologies, resulting in a 25% improvement in operational reliability. Previously, Dr. Jamil worked as a Consultant in Project Portfolio Management at CSU Science and Technology Park in China, where he optimized human activity recognition systems and enhanced energy efficiency in electric vehicles. Earlier in his career, he served as a Data Engineer in Power Systems in Pakistan, where he led automation projects and mentored teams to improve project success rates. His work is characterized by a strong commitment to innovation, collaboration with industry leaders, and a focus on sustainability in energy management.

Research Interests:

Dr. Hafiz Jamil’s research interests lie at the intersection of Electronic Engineering, Data Science, and Renewable Energy Solutions. He is particularly focused on developing AI-driven intelligent systems and Internet of Things (IoT) applications that enhance energy management and sustainability. His work encompasses advanced data analytics and machine learning, aiming to optimize real-time data processing and improve system performance in energy systems. Dr. Jamil has a keen interest in integrating blockchain technology for enhanced transparency and security in energy transactions. His research also includes the exploration of digital twin technology for optimizing renewable energy use and reducing peak loads in energy systems. Additionally, he is dedicated to advancing federated learning and smart grid technologies to promote energy efficiency and resource management in modern energy infrastructures.

Skills:

Dr. Hafiz Jamil possesses a diverse skill set that encompasses various domains within Electronic Engineering and Data Science. He is highly proficient in developing and implementing machine learning models, data analytics, and AI-driven intelligent systems, with expertise in programming languages such as Python, MATLAB, and C++. Dr. Jamil has a strong command of advanced technologies, including blockchain integration for energy systems and IoT development for smart grids. His technical capabilities extend to real-time monitoring and predictive optimization, allowing him to enhance operational efficiency in energy management solutions. Additionally, he excels in project management and cross-functional collaboration, demonstrating leadership in guiding teams through complex technological challenges. Dr. Jamil’s skills in automation, data governance, and scalable model deployment further contribute to his ability to drive innovation and improve system performance across various projects in the field.

Conclusion:

Given Dr. Hafiz Jamil’s impressive track record in research, innovation, and practical application in fields such as AI, IoT, and renewable energy systems, he is highly suitable for the Best Researcher Award. His research contributions, technical leadership, and groundbreaking work in enhancing energy efficiency make him an outstanding candidate for this recognition.

Publication Top Noted:

An Optimized Ensemble Prediction Model Using AutoML Based on Soft Voting Classifier for Network Intrusion Detection

  • Journal: Journal of Network and Computer Applications
  • Cited By: 58
  • Year: 2023
  • Contributors: M.A. Khan, N. Iqbal, H. Jamil, D.H. Kim

PetroBlock: A Blockchain-Based Payment Mechanism for Fueling Smart Vehicles

  • Journal: Applied Sciences
  • Cited By: 52
  • Year: 2021
  • Contributors: F. Jamil, O. Cheikhrouhou, H. Jamil, A. Koubaa, A. Derhab, M.A. Ferrag

An Efficient Dynamic-Decision Based Task Scheduler for Task Offloading Optimization and Energy Management in Mobile Cloud Computing

  • Journal: Sensors
  • Cited By: 48
  • Year: 2021
  • Contributors: A. Ali, M.M. Iqbal, H. Jamil, F. Qayyum, S. Jabbar, O. Cheikhrouhou, M. Baz, et al.

Optimal Scheduling of Campus Microgrid Considering the Electric Vehicle Integration in Smart Grid

  • Journal: Sensors
  • Cited By: 45
  • Year: 2021
  • Contributors: T. Nasir, S. Raza, M. Abrar, H.A. Muqeet, H. Jamil, F. Qayyum, et al.

EEG-Based Neonatal Sleep Stage Classification Using Ensemble Learning

  • Journal: Computers, Materials & Continua
  • Cited By: 37
  • Year: 2022
  • Contributors: S.F. Abbasi, H. Jamil, W. Chen

Sathiya R | Intrusion Detection | Best Researcher Award

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Mrs. Sathiya R | Intrusion Detection | Best Researcher Award

Sathiya R Thangavelu Engineering College, India

Summary:

Sathiya R is an experienced Assistant Professor with a robust academic and professional background in Information Technology. Currently serving at Thangavelu Engineering College, Chennai, Sathiya has held previous teaching positions at several esteemed institutions including Karpagam Institute of Technology, AVS College of Technology, Ganesh College of Engineering, and JKKN Institute of Engineering & Technology. Sathiya holds an M.E. degree in Information Technology from Anna University, Coimbatore, and a B.E. degree from Mahendra College of Engineering and Technology, Karur. With a strong foundation in programming languages such as C, Core Java, and Python, Sathiya also possesses expertise in web designing (HTML, CSS, JavaScript, ReactJS) and database management (Oracle). Sathiya’s skills extend to computer programming, web technology, problem-solving, object-oriented programming, and software testing.

Profile:

Education:

Sathiya R completed an M.E. degree in Information Technology from Anna University, Regional Centre, Coimbatore, with an impressive aggregate of 81%. Prior to this, Sathiya earned a B.E. degree in Information Technology from Mahendra College of Engineering and Technology, Karur, achieving an aggregate of 79%. Sathiya completed the 12th standard at Saraswathi Matric Higher Secondary School, Attur, with an aggregate of 85.40%. The 10th standard was completed at Green Park Matric Higher Secondary School, Attur, where Sathiya attained an aggregate of 75.40%.

Professional Experience:

Sathiya R has been serving as an Assistant Professor at Thangavelu Engineering College, Chennai, since February 1, 2022. Prior to this role, Sathiya worked as an Assistant Professor at Karpagam Institute of Technology, Coimbatore, from December 26, 2019, to January 27, 2022. Before that, Sathiya held a similar position at AVS College of Technology, Salem, from June 20, 2016, to July 15, 2019. Sathiya’s earlier experience includes a role as an Assistant Professor at Ganesh College of Engineering, Salem, from June 25, 2015, to May 23, 2016, and at JKKN Institute of Engineering & Technology, Salem, from August 24, 2013, to April 20, 2015.

Skills:

Sathiya R has a solid foundation in several programming languages and technologies. This includes basic proficiency in C, Core Java, and Python. In web designing, Sathiya is skilled in HTML, CSS, JavaScript, and ReactJS. Additionally, Sathiya has experience with database management using Oracle. The areas of expertise also cover computer programming, web technology, problem-solving with Python programming, object-oriented programming, and software testing.

Publications:

Swarm optimized differential evolution and probabilistic extreme learning based intrusion detection in MANET

Authors: Sathiya R, Yuvaraj D.N.

Citations: 0

Year: 2024

Enhancing the reliability of cloud data by implementing AES algorithm

Authors: Suganya N, Sathiya R, Ilamurugan G, Pavithra M, Karthikeyan C

Citations: 2

Year: 2021

 

 

Wubshet Debebe Negash | Intrusion Detection Award | Best Researcher Award

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Mr. Wubshet Debebe Negash, Intrusion Detection Award, Best Researcher Award

Wubshet Debebe Negash at University of Gondar, Ethiopiaa

Mr. Wubshet Debebe Negash is a highly accomplished public health professional with a Master of Public Health in Health Service Management from the University of Gondar, Ethiopia, and a Bachelor of Public Health from the same university. He has achieved outstanding academic success with a perfect CGPA of 4.00/4.00 in his master’s degree and 3.85/4.00 in his bachelor’s degree. Mr. Negash is a lifetime member of the Ethiopian Public Health Association and has completed various short-term training programs in teaching methods, data analysis, manuscript writing, and more. He has been actively involved in projects related to evaluating primary healthcare systems, post-war recovery of maternal and child health services, and assessing the performance of healthcare field workers. With a strong commitment to improving public health, Mr. Negash continues to contribute significantly to the field through his research, interventions, and expertise in healthcare management.

Profile:

Education:

Master of Public Health in Health Service Management

  • University of Gondar, Gondar, Ethiopia
  • Duration: 09/10/2019 – 29/07/2021
  • Core courses: Qualitative and quantitative research methods, Biostatistics, Epidemiology, Health Policy analysis, Human resources for health management, Advanced health economics, Monitoring and evaluation, Strategic leadership, Management, and Governance
  • General courses: Principles of public health, Health promotion and communication, Pedagogy
  • Thesis: “Health System Responsiveness and associated factors among outpatients in primary health care facilities in Ethiopia, 2021”
  • Word length: 12,929
  • Cumulative grade report (CGPA): 4.00/4.00
  • Link: University of Gondar

Bachelor of Public Health

  • University of Gondar, Gondar, Ethiopia
  • Duration: 28/9/2015 – 4/7/2019
  • Major public courses: Introduction to Public Health, Biostatistics, Epidemiology, Reproductive health, Population health, Research Methodology, Health Economics, Research project, Health service management, Environmental Health, Nutrition, Disease Control
  • Major clinical courses: Internal medicine, Pediatrics, Gynecology and Obstetrics, Surgery
  • Thesis: “Early booking of First ANC and associated factors among ANC attendant women in Addis Zemen district, 2019”
  • Cumulative grade report (CGPA): 3.85/4.00
  • Link: University of Gondar

Professional Experience:

Mr. Wubshet Debebe Negash is a seasoned public health professional with extensive experience in project management and healthcare interventions. He has played key roles in several projects, including evaluating the capacity and performance of primary healthcare systems in complex environments, contributing to behavior change interventions for newborn community health, and supporting post-war recovery efforts in reproductive, maternal, newborn, and child health (RMNCH) services. His responsibilities have ranged from tool development and data collection to analysis, management, and result writing. Mr. Negash has also served as a Principal Investigator, overseeing project implementation and ensuring high-quality outcomes. His diverse experience reflects his dedication to improving healthcare systems and outcomes in Ethiopia, making him a valuable asset in public health initiatives.

Research Interest:

Mr. Wubshet Debebe Negash’s research interests primarily focus on improving public health systems and outcomes, particularly in the context of primary healthcare, maternal and child health, and community-based interventions. He is keenly interested in evaluating the capacity and performance of primary healthcare systems, exploring factors that influence health system responsiveness, and identifying strategies to enhance healthcare service delivery in resource-constrained settings. Additionally, Mr. Negash is passionate about research related to newborn health, including behavior change interventions, early initiation of exclusive breastfeeding, vaccination coverage, and improving maternal and infant health practices. His research endeavors aim to contribute valuable insights and evidence-based solutions to address key challenges in public health and healthcare management, ultimately leading to better health outcomes for communities.

Publication Top Noted:

Less than one in four mothers get quality intrapartum health care services in Ethiopia

  • Authors: Negash, W.D., Asmamaw, D.B., Wassie, G.T., Bogale, K.A., Belachew, T.B.
  • Journal: Scientific Reports
  • Year: 2024
  • Volume: 14
  • Issue: 1
  • Pages: 4194
  • Citations: 0

Trends of socioeconomic and geographic inequalities in severe wasting among under-five children in Ethiopia from 2000 to 2019: using the WHO Health Equity Assessment Toolkit

  • Authors: Baykeda, T.A., Negash, W.D., Belachew, T.B., Asmamaw, D.B., Endawkie, A.
  • Journal: Scientific Reports
  • Year: 2024
  • Volume: 14
  • Issue: 1
  • Pages: 948
  • Citations: 0

Assessing postnatal care for newborns in Sub-Saharan Africa: A multinational analysis

  • Authors: Eshetu, H.B., Aragaw, F.M., Negash, W.D., Tareke, A.A., Asratie, M.H.
  • Journal: PLoS ONE
  • Year: 2024
  • Volume: 19
  • Issue: 2 (February)
  • Article Number: e0298459
  • Citations: 0

Spatial distribution and determinants of barriers of health care access among female youths in Ethiopia, a mixed effect and spatial analysis

  • Authors: Fentie, E.A., Asmamaw, D.B., Negash, W.D., Kidie, A.A., Fetene, S.M.
  • Journal: Scientific Reports
  • Year: 2023
  • Volume: 13
  • Issue: 1
  • Pages: 21517
  • Citations: 0

Antenatal care booked rural residence women have home delivery during the era of COVID-19 pandemic in Gidan District, Ethiopia

  • Authors: Asmamaw, D.B., Habitu, Y.A., Mekonnen, E.G., Negash, W.D.
  • Journal: PLoS ONE
  • Year: 2023
  • Volume: 18
  • Issue: 12 (December)
  • Article Number: e0295220
  • Citations: 0