Boyu Wang | Cybersecurity | Best Researcher Award

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Dr. Boyu Wang | Cybersecurity | Best Researcher Award

Assistant professor at Beijing University of Civil Engineering and Architecture, China

Dr. Boyu Wang is a Principal Data Scientist at Tacoma Public Utilities in Washington, USA, where he leads energy and peak forecasting, financial modeling, and power operations. He holds a Ph.D. in Electrical Engineering from Louisiana State University, as well as Master’s degrees in Electrical Engineering and Computer Science. Dr. Wang has extensive experience in applying advanced data science techniques, including deep learning and blockchain, to optimize energy management systems. His research focuses on power flow prediction, decentralized micro-grids, and grid stability, and he has contributed to several publications and patents. He is committed to enhancing energy stability and resiliency through innovative data-driven solutions.

 

Profile

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Education

Dr. Boyu Wang holds a Ph.D. in Electrical Engineering from Louisiana State University, Baton Rouge, LA, USA, which he completed from August 2014 to August 2018. Prior to his doctoral studies, he earned a Master of Science in Electrical Engineering from the same institution, Louisiana State University, during the period from August 2012 to August 2014. In addition to his background in electrical engineering, Dr. Wang expanded his expertise by obtaining a Master of Science in Computer Science from the Georgia Institute of Technology, where he studied from January 2020 to May 2022. His multidisciplinary academic training provides a solid foundation for his research and contributions in energy systems, machine learning, and data science.

 Experience

Dr. Boyu Wang currently serves as a Principal Data Scientist at Tacoma Public Utilities in Washington, USA, where he leads the annual energy and peak forecasting for resource planning, financial modeling, and power operations. His responsibilities include supporting various teams with data collection, cleaning, and manipulation, as well as developing risk models and automation tools to improve reporting efficiency. Dr. Wang has played a key role in assisting with project management strategies and energy stability efforts. Prior to this, he worked as a Power Engineer Intern at Entergy, where he conducted analysis on renewable energy integration into distribution systems. Throughout his career, Dr. Wang has leveraged his expertise in deep learning, blockchain, and data science to contribute to various innovative research projects, particularly in energy management and grid stability.

Research Interests

Dr. Boyu Wang’s research interests lie at the intersection of energy systems, machine learning, and advanced technologies. His work primarily focuses on applying deep learning techniques, such as convolutional neural networks (CNN) and long short-term memory (LSTM) models, to predict power flow and optimize grid stability in real-time. Additionally, Dr. Wang has explored blockchain-based energy management for decentralized micro-grids, developing dynamic pricing strategies and decision-making algorithms to enhance energy distribution and trading. He is also passionate about developing novel methods for power grid stability, including multi-layer constrained spectral clustering for post-contingency problems and dynamic programming-based control systems for micro-grids. His research aims to advance the resilience and efficiency of energy systems through the integration of cutting-edge computational techniques.

Skills

Dr. Boyu Wang possesses a robust skill set in programming, data analysis, and energy systems optimization. He is proficient in Python, R, and SQL, which he utilizes for data manipulation, analysis, and model development. Dr. Wang is also experienced with platforms and software such as Tableau, DBeaver, Snowflake, and Databricks, enabling him to work efficiently with large datasets and develop impactful visualizations and analytics solutions. His technical expertise extends to deep learning, where he has applied convolutional neural networks (CNN) and long short-term memory (LSTM) models for power flow prediction, as well as blockchain technology for decentralized energy management in micro-grids. These skills, combined with his background in electrical and computer engineering, allow him to tackle complex challenges in energy systems and grid stability.

 

Publication

Cybersecurity Enhancement of Power Trading within the Networked Microgrids Based on Blockchain and Directed Acyclic Graph Approach

  • Authors: B. Wang, M. Dabbaghjamanesh, A. Kavousi-Fard, S. Mehraeen
  • Journal: IEEE Transactions on Industry Applications
  • Volume: 55, Issue 6, Pages 7300-7309
  • Publication Year: 2019
  • Cited by: 188

A Novel Two-Stage Multi-Layer Constrained Spectral Clustering Strategy for Intentional Islanding of Power Grids

  • Authors: M. Dabbaghjamanesh, B. Wang, A. Kavousi-Fard, S. Mehraeen, …
  • Journal: IEEE Transactions on Power Delivery
  • Volume: 35, Issue 2, Pages 560-570
  • Publication Year: 2019
  • Cited by: 70

Blockchain-Based Stochastic Energy Management of Interconnected Microgrids Considering Incentive Price

  • Authors: M. Dabbaghjamanesh, B. Wang, A. Kavousi-Fard, N.D. Hatziargyriou, …
  • Journal: IEEE Transactions on Control of Network Systems
  • Volume: 8, Issue 3, Pages 1201-1211
  • Publication Year: 2021
  • Cited by: 43

Networked Microgrid Security and Privacy Enhancement by the Blockchain-Enabled Internet of Things Approach

  • Authors: M. Dabbaghjamanesh, B. Wang, S. Mehraeen, J. Zhang, A. Kavousi-Fard
  • Conference: 2019 IEEE Green Technologies Conference (GreenTech)
  • Pages: 1-5
  • Publication Year: 2019
  • Cited by: 37

Superconducting Fault Current Limiter Allocation in Reconfigurable Smart Grids

  • Authors: A.S. Abdollah Kavousi-Fard, Boyu Wang, Omid Avatefipour, Morteza …
  • Conference: IEEE, Berkley University Conference on Smart City and Smart Grid
  • Publication Year: 2019
  • Cited by: 28

Stability Improvement of Microgrids Using a Novel Reduced UPFC Structure via Nonlinear Optimal Control

  • Authors: H. Saberi, S. Mehraeen, B. Wang
  • Conference: 2018 IEEE Applied Power Electronics Conference and Exposition (APEC)
  • Pages: 3294-3300
  • Publication Year: 2018
  • Cited by: 17

Conclusion

Dr. Boyu Wang’s extensive work in energy systems, innovative applications of deep learning and blockchain technologies, and his leadership in power grid optimization make him an excellent candidate for the Research for Best Researcher Award. His research not only advances theoretical knowledge but also provides practical solutions for improving energy efficiency, grid stability, and resilience, aligning with the award’s recognition of impactful, cutting-edge 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

Rajorshi Biswas | Link Flooding Attack | Best Researcher Award

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Dr. Rajorshi Biswas | Link Flooding Attack | Best Researcher Award

Assistant Professor at Penn State Berks, United States

Summary:

Dr. Rajorshi Biswas is a dedicated researcher specializing in computer networks and security, aiming to make a significant impact on both academic and industry communities. He holds a B.Sc. in Computer Science & Engineering from Bangladesh University of Engineering & Technology (BUET), completed in July 2014, and is pursuing a Ph.D. in Computer Science at Temple University, expected to be completed in July 2021. Dr. Biswas has a robust professional background, having volunteered as a network administrator at BracNet, worked as a programmer at Aamra Networks Ltd., and served as a teaching assistant for courses in C Programming Language, Software Design, and Android Programming at Temple University. His technical skills encompass a wide range of programming languages, frameworks, databases, and embedded systems. Dr. Biswas has also contributed to various professional projects, including loyalty systems, cloud storage solutions, and internet payment gateways. His research projects, funded by prestigious organizations such as the National Science Foundation and the Office of Naval Research, address critical issues in spectrum allocation, wireless access technologies, military defense, and cyber forensics. Dr. Biswas’s commitment to advancing the field is further demonstrated by his peer-review work for IEEE journals and his mentorship of undergraduate students.

Profile:

Education:

Dr. Rajorshi Biswas holds a B.Sc. in Computer Science & Engineering from Bangladesh University of Engineering & Technology (BUET), where he graduated in July 2014. He pursued his doctoral studies at Temple University, aiming to complete his Ph.D. in Computer Science by July 2021. His educational journey has equipped him with extensive knowledge and expertise in programming techniques, computer architecture, principles of data management, cloud computing, ad hoc networks, operating systems, computer vision, pervasive and mobile systems, distributed systems, computer networking, machine learning, and data-intensive and cloud computing.

Professional Experience:

Dr. Rajorshi Biswas has gained extensive professional experience in both academic and industry settings. From 2012 to 2014, he volunteered as a networks administrator at BracNet, where he developed foundational skills in network management. Following this, he worked as a programmer at Aamra Networks Ltd., Bangladesh, from September 2014 to July 2016, contributing to various software development projects. Since August 2016, Dr. Biswas has been working as a teaching assistant at Temple University, where he has taught courses in C Programming Language, Software Design, and Android Programming. His diverse professional background has equipped him with a comprehensive skill set in programming, network administration, and teaching, making him a valuable asset in both academic and professional environments.

Research Interests:

Dr. Rajorshi Biswas’s research interests lie at the intersection of computer networks and security, with a focus on advancing these fields to benefit both academic and industry communities. He is particularly interested in the study of spectrum allocation efficiency and operation privacy in dynamic spectrum access systems, the coexistence of heterogeneous wireless access technologies, and the development of moving target defense strategies in military organizations. Additionally, Dr. Biswas is engaged in research on cyber forensics toolkits for machinery control, exploring innovative solutions to enhance cybersecurity measures. His work aims to address critical challenges in network security and contribute to the development of robust and efficient systems.

Skills:

Dr. Rajorshi Biswas possesses a diverse set of skills that span across multiple programming languages, frameworks, databases, and embedded systems. His programming expertise includes proficiency in C/C++, Java, PHP, JavaScript, C#, Python, and Android development. He is well-versed in frameworks such as Ajax, CodeIgniter, HMVC CodeIgniter, ASP.NET (MVC), JSP, OpenGL, MapReduce, and MPI. Dr. Biswas has significant experience working with databases like Oracle and MySQL, as well as embedded systems such as Arduino and Atmega32. Additionally, he is skilled in using tools and technologies like Hadoop, Spark, Linux, Cisco Packet Tracer, NS3, and Matlab. His capabilities extend to implementing Linux system calls, driver implementation, and managing shared memory operations, showcasing a comprehensive technical skill set suitable for a wide range of applications in computer science and engineering.

Awards:

Dr. Rajorshi Biswas has been honored with several awards and recognitions for his academic and research contributions. In 2018, he received the prestigious Summer Research Fellowship from Temple University. He has also been actively involved in the academic community as a peer reviewer, evaluating numerous papers for esteemed journals such as IEEE Communication Letters, IEEE Transactions on Communications, and Transactions on Network Science and Engineering. His commitment to excellence in research and academia is reflected in these significant accolades.

Publications:

 

Christian Delgado | Cybersecurity | Excellence in Research

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Mr. Christian Delgado | Cybersecurity | Excellence in Research

Researcher at University of Vigo, Spain

Summary:

Mr. Christian Delgado is an accomplished professional with over 18 years of experience in information systems management and education. Currently serving as Co-responsible for the Department of Information Systems at IESIDE, he oversees campus virtual platforms, ERP systems, and web infrastructures. Christian is also an Associate Professor at UNIR Universidad Internacional de La Rioja, specializing in blockchain technology. His expertise spans cybersecurity, educational technology, and ICT business development.

Profile:

Education:

Mr. Christian Delgado is currently pursuing his doctoral studies in Telecommunication Engineering with a specialization in Blockchain and Cybersecurity at the Universidade de Vigo. He holds a Master’s degree in Computer Security from UNIR Universidad Internacional de La Rioja, earned in 2018. His undergraduate education includes a degree in Telecommunication Engineering from the Universidade de Vigo. Additionally, he completed advanced German language studies at Universität Wien and received specialized training in creating ICT businesses from the Escuela de Organización Industrial in 2006

Professional Experience:

Mr. Christian Delgado brings over 18 years of expertise in information systems management and educational leadership. Currently, he holds the position of Co-responsible for the Department of Information Systems at IESIDE, where he manages campus virtual platforms, ERP systems, and web infrastructures across their campuses in A Coruña and Vigo. Since May 2006, he has been an Associate Professor at UNIR Universidad Internacional de La Rioja, specializing in blockchain technology. Christian’s career also includes significant roles such as Director of IT at Dentcard GmbH in Germany, focusing on implementing information systems and leveraging ICT for operational efficiency. Prior to this, he served as an Engineer at Artel Ingenieros, where he oversaw projects involving network interconnection and video conferencing systems. His diverse experience underscores his proficiency in cybersecurity, educational technology, and ICT business development.

Research Interests:

Mr. Christian Delgado’s research interests primarily revolve around the intersection of information systems, cybersecurity, and educational technology. His focus includes exploring the applications of blockchain technology in enhancing data security and transparency within educational and organizational contexts. He is also interested in the integration of ICT (Information and Communication Technology) into educational infrastructures to improve learning outcomes and operational efficiency. Christian’s academic pursuits aim to contribute insights into the evolving landscapes of cybersecurity and educational technology, particularly in fostering innovative approaches to data protection and digital learning environments.

Skills:

Mr. Christian Delgado possesses a comprehensive skill set encompassing over 18 years of experience in information systems management, educational leadership, and cybersecurity. He excels in overseeing campus virtual platforms, ERP systems, and web infrastructures as Co-responsible for the Department of Information Systems at IESIDE. With a robust background as an Associate Professor at UNIR Universidad Internacional de La Rioja, he specializes in blockchain technology, leveraging his expertise to enhance data security and transparency. Christian’s proficiency extends to ICT business development, where he has demonstrated strategic implementation of information systems at Dentcard GmbH in Germany. His skills underscore a deep commitment to advancing educational technology and cybersecurity frameworks, contributing to innovative solutions in digital learning and organizational efficiency.

 

Publications:

Blockchain applications in education: A systematic literature review

  • Authors: C Delgado-von-Eitzen, L Anido-Rifón, MJ Fernández-Iglesias
  • Journal: Applied Sciences
  • Volume: 11
  • Issue: 24
  • Article Number: 11811
  • Year: 2021
  • Citations: 57

Application of blockchain in education: GDPR-compliant and scalable certification and verification of academic information

  • Authors: C Delgado-von-Eitzen, L Anido-Rifón, MJ Fernández-Iglesias
  • Journal: Applied Sciences
  • Volume: 11
  • Issue: 10
  • Article Number: 4537
  • Year: 2021
  • Citations: 27

Blockchain for the scalable issuance and verification of private academic information

  • Authors: C Delgado-von-Eitzen, L Anido-Rifón, MJ Fernández-Iglesias
  • Conference: 2021 International Conference on Advanced Learning Technologies (ICALT)
  • Pages: 436-438
  • Year: 2021
  • Citations: 4

NFTs for the issuance and validation of academic information that complies with the GDPR

  • Authors: C Delgado-von-Eitzen, L Anido-Rifón, MJ Fernández-Iglesias
  • Journal: Applied Sciences
  • Volume: 14
  • Issue: 2
  • Article Number: 706
  • Year: 2024

Varietal Susceptibility and Assessment of Losses Caused by Pulse Beetle Callosobruchus Chinensis (L.) in Green Gram Under Laboratory Conditions

  • Authors: AS Meena, RS Meena, MA Laichattiwar
  • Journal: Journal of Pure and Applied Microbiology
  • Volume: 11
  • Issue: 1
  • Pages: 259-263
  • Year: 2017

 

Meray Medhat Shokry Zaghary | Cybersecurity Risk Assessment | Best Researcher Award

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Assoc Prof Dr. Meray Medhat Shokry Zaghary | Cybersecurity Risk Assessment | Best Researcher Award

Associate professor of clinical toxicology at Sohag University, Egypt

Summary:

Assoc. Prof. Dr. Meray Medhat Shokry Zaghary is an accomplished academic and medical professional specializing in clinical toxicology. Currently serving as a lecturer and consultant at Sohag University’s Faculty of Medicine in Egypt, she holds a Bachelor’s degree in Medicine and Surgery, a Master’s degree in Clinical Toxicology, and a Doctorate degree in Medicine with a focus on Clinical Toxicology. Dr. Zaghary is actively involved in research, training junior doctors, and organizing educational webinars and conferences in her field. Her expertise includes biostatistics, scientific writing, and the management of clinical toxicology cases.

Profile:

Education:

Assoc. Prof. Dr. Meray Medhat Shokry Zaghary pursued her academic journey at Sohag University, Egypt, where she achieved significant milestones in medicine and clinical toxicology. She obtained her Bachelor’s degree in Medicine and Surgery from the Faculty of Medicine at Sohag University in November 2011. Building upon this foundation, she completed a Master’s degree in Clinical Toxicology in June 2016. Driven by her passion for advancing her expertise, she went on to earn a Doctorate degree in Medicine with a specialization in Clinical Toxicology in January 2021. Her dedication to continuous professional development is evident through her additional diplomas, including Addiction and Psychological Health from the Freedom and Addiction Program in January 2019, Certified Biostatistics from MARS Global in R Program Statistics from January to August 2023, and Scientific Writing, International Publishing, and Statistical Analysis using SPSS Program Version 26 from Future Scientific Platform.

Professional Experience:

Assoc. Prof. Dr. Meray Medhat Shokry Zaghary has an extensive background in clinical toxicology, currently serving as a lecturer and Consultant in clinical toxicology at Sohag University, Faculty of Medicine since March 2021. In this role, she oversees critical care management, provides expert consultation, and conducts courses on first aid management. Prior to her current position, from August 2016 to March 2021, she worked as an Assistant Lecturer of clinical toxicology at Sohag University. During this period, she conducted numerous educational rounds and published two papers in 2020 related to her doctoral research on cardiac enzymes and ECG predictors of mortality in acute toxicity. Dr. Zaghary also holds a Master’s degree in clinical toxicology from Sohag University, where she served as a Demonstrator from April 2013 to August 2016, conducting clinical toxicological rounds and contributing to conferences and workshops in the field. Her professional journey includes certifications in digital transformation, preparing teachers, anticorruption, accreditation standards, statistical analysis in clinical research, and various scientific writing and research workshops.

Research Interest:

Assoc. Prof. Dr. Meray Medhat Shokry Zaghary’s research interests focus on various aspects of clinical toxicology, particularly in critical care management and the prediction of mortality in acute toxicity cases using cardiac enzymes and ECG. Her expertise also extends to drug abuse among university students, where she has published significant studies. Dr. Zaghary is actively involved in exploring advancements in toxicology treatment protocols, including workshops on Cardiopulmonary Resuscitation, Disaster and Crisis Management, and the application of SPSS in statistical analysis for clinical research. Her research endeavors aim to enhance understanding and improve outcomes in toxicology through rigorous scientific inquiry and practical applications.

Professional Skills:

Assoc. Prof. Dr. Meray Medhat Shokry Zaghary is an accomplished clinical toxicologist and experienced physician with a strong academic and professional background. She has successfully managed and treated a wide range of clinical toxicology cases, leveraging her extensive expertise and training. Dr. Zaghary is adept in biostatistics, proficiently using SPSS and R programs for advanced statistical analysis in clinical research. She plays a pivotal role as the administrator of the “Toxo Clinic” Telegram group, offering valuable consultations and referrals during the COVID-19 pandemic. Additionally, Dr. Zaghary is committed to medical education, where she excels as a trainer, imparting essential skills in first care management to junior doctors.

Awards and Honors:

Assoc. Prof. Dr. Meray Medhat Shokry Zaghary was awarded the Guild shield by the Doctors Syndicate in Sohag, Egypt, in recognition of her exceptional contributions to training junior doctors in the first care management of clinical toxicology cases. This prestigious honor was conferred on 29th March 2023, acknowledging her dedication and expertise in the field of clinical toxicology.

 

Publications:

 

Study of Drug Abuse among University Students in Sohag, Egypt

  • Authors: RAR Meray MS1, Ahmed FH2
  • Journal: Journal of Forensic, Toxicology and Medicolegal Analysis
  • Year: 2016
  • Volume: 1
  • Issue: 2
  • Pages: 19-23
  • Citations: 14

Validity of Vital Signs, Coma Scales and Modified APACHE Score in Prediction of Prognosis and Outcome of Acutely Poisoned Patients

  • Authors: MMS Zaghary, RA Radwan, RM Elsayed
  • Journal: The Egyptian Journal of Hospital Medicine
  • Year: 2021
  • Volume: 85
  • Issue: 1
  • Pages: 2758-2766
  • Citations: 7

Predictive Role of Cardiac Troponin I, Creatine Kinase-MB and Electrocardiogram in Early Assessment of Acute Cardiotoxicity in Patients Poisoned by Cardiotoxic Drugs and Toxins

  • Authors: MA Hilal, SED Mahmoud, MM Shokry, AM Said
  • Journal: Cardiology and Angiology: An International Journal
  • Year: 2020
  • Volume: 9
  • Issue: 3
  • Pages: 18-30
  • Citations: 4

Pattern and Outcome of Acute Aluminium Phosphide Intoxicated Cases at Sohag University Hospitals: Special Consideration to Paraffin Oil as a Supportive Treatment

  • Authors: M Abdelkader, RM Elsayed, MM Shokry
  • Journal: Zagazig Journal of Forensic Medicine
  • Year: 2023
  • Volume: 21
  • Issue: 1
  • Pages: 133-156
  • Citations: 2

Patterns and Outcomes of Acute Toxicological Cases Before, During, and After COVID-19 Lockdown in Sohag University Hospitals, Egypt

  • Authors: MM Shokry Zaghary, MM Abd ElKader, REA Mousa, AM Said
  • Journal: Toxicology Research
  • Year: 2024
  • Volume: 13
  • Issue: 2
  • Article: tfae061
  • Citations: 1

Predicting Outcome in Acute Cardiotoxicity Based on Glasgow Coma Scale (GCS) and Modified APACHE II Score (MAS)

  • Authors: M Shokry, M Hilal, S Abdalla, A Said
  • Journal: Ain Shams Journal of Forensic Medicine and Clinical Toxicology
  • Year: 2020
  • Volume: 35
  • Issue: 2
  • Pages: 39-48
  • Citations: 1

A Clinical Study and Laboratory Evaluation of the Cardiac and Hepatic Toxic Effects of Paraphenylenediamine

  • Authors: MM Abd ElKader, PA Mohamed Ismail, MA Abd El Ati, …
  • Journal: Clinical Toxicology
  • Year: 2024
  • Pages: 1-10

Case-Control Study of Intestinal Parasitic Infection in Hemodialysis Patients in Sohag Governorate

  • Authors: MR GabAllah, MMS Zaghary
  • Journal: The Egyptian Journal of Hospital Medicine
  • Year: 2023
  • Volume: 90
  • Issue: 2
  • Pages: 2245-2248

Toxicity and Complications of Long Term Use of Methotrexate in Sohag University Hospital: A Retrospective, Record Based Epidemiological Study

  • Authors: AM Said, AR Alagamy, MM Shokry
  • Journal: The Egyptian Journal of Hospital Medicine
  • Year: 2022
  • Volume: 89
  • Issue: 2
  • Pages: 6702-6706

Kratom Abuse as an Emerging Issue of Addiction, Overdose Toxicities and Deaths: A Review

  • Authors: M Zaghary
  • Journal: Ain Shams Journal of Forensic Medicine and Clinical Toxicology
  • Year: 2022
  • Volume: 39
  • Issue: 2
  • Pages: 39-47

Predictive Role of Cardiac Troponin I, Creatine Kinase-MB and Electrocardiogram in Early Assessment of Acute Cardiotoxicity in Patients Poisoned by Cardiotoxic Drugs and Toxins

  • Authors: MM Shokry
  • Institution: Sohag University
  • Year: 2018

 

Melkam Belay | Cybersecurity | Excellence in Research

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Mrs. Melkam Belay | Cybersecurity | Excellence in Research

PhD student at Dilla University College of Health Sciences and Medicine, Ethiopia

Summary:

Mrs. Melkam Belay is an experienced professional in midwifery and reproductive health nursing. She obtained her BSc in Midwifery from Gondar University in July 2015 and completed her MSc in Maternity and Reproductive Health Nursing at Arba Minch University in September 2019. Her career includes roles as a Junior Midwife, Graduate Assistant II, and Lecturer at Dilla University, where she also pursued a PhD in Public Health from 2015 to 2016. Since 2007, Mrs. Belay has been an active member of the Ethiopian Midwives Association and has made significant contributions to healthcare sciences with over 15 published and ongoing papers.

Profile:

Education:

Mrs. Melkam Belay completed her Bachelor of Science (BSc) in Midwifery at Gondar University in July 2015. Following this, she pursued further studies and earned a Master of Science (MSc) in Maternity and Reproductive Health Nursing from Arba Minch University, graduating in September 2019. Her academic journey has been complemented by practical experience and research pursuits in midwifery and public health, fostering her expertise in maternal care and reproductive health education.

Professional Experience:

Mrs. Melkam Belay has accumulated extensive professional experience in the field of midwifery and healthcare education. Her career began in 2008 at Bishoftu General Hospital, Oromia Region, Ethiopia, where she served as a Junior Midwife. From 2009 to 2010, she worked as a Graduate Assistant II at the Midwifery Department of Dilla University, progressing to an Assistant Lecturer role from 2011 to 2012. Demonstrating her commitment to academia and healthcare, Mrs. Belay continued to advance as a Lecturer at the Department of Midwifery at Dilla University from 2013 to 2015. Concurrently, she pursued her PhD in Public Health at Dilla University from 2015 to 2016, focusing on enhancing her research and teaching capabilities. Her tenure at various educational and healthcare institutions has enriched her expertise in midwifery practices and maternal health education, underpinned by her active membership in the Ethiopian Midwives Association since 2007.

Research Interest:

Mrs. Melkam Belay’s research interests span several critical areas within midwifery and public health. Her focus includes maternal health and well-being, particularly in resource-limited settings, where she explores factors influencing maternal health outcomes and healthcare access. She is also keenly interested in reproductive health, with a particular emphasis on improving maternal and child health services through evidence-based interventions. Mrs. Belay’s research endeavors aim to contribute to the development of effective healthcare strategies and policies that enhance maternal and reproductive health outcomes globally, addressing both clinical and socio-economic determinants.

Publication:

Title: Comparison of effectiveness of Foley catheter versus vaginal misoprostol for cervical ripening in induction of labour in Gedeo zone public hospitals, Ethiopia, 2022. Quasi-experimental design

  • Authors: Temesgen, T., Figa, Z., Gido, R., Bedecha, F., Berwo, M.
  • Journal: International Journal of Africa Nursing Sciences
  • Volume: 20
  • Article Number: 100734
  • Year: 2024
  • Citations: 0

Title: Pregnant mothers’ intention to use postpartum intrauterine contraceptive device and its associated factors in Arba Minch Town, Southern Ethiopia, 2022

  • Authors: Andargie, M., Debalkie, M., Lakew, S., Getie, A., Solomon, Z.
  • Journal: International Journal of Africa Nursing Sciences
  • Volume: 20
  • Article Number: 100718
  • Year: 2024
  • Citations: 0
  • Status: Open access

Title: Factors associated with low fifth minute Apgar score among newborns delivered at public health facilities of Dilla town, Southern Ethiopia, 2022

  • Authors: Abebe, M., Tebeje, T.M., Gugsa, T., Solomon, Z., Hareru, H.E.
  • Journal: International Journal of Africa Nursing Sciences
  • Volume: 20
  • Article Number: 100656
  • Year: 2024
  • Citations: 0
  • Status: Open access