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.

Moses Ashawa | Cybersecurity | Best Researcher Award

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Dr. Moses Ashawa | Cybersecurity | Best Researcher Award

Lecturer at Glasgow Caledonian University, United Kingdom

Dr. Moses Ashawa is an accomplished academic and researcher specializing in Cyber Defence and Security. He earned his Ph.D. from Cranfield University in the UK, where he focused on advanced cybersecurity topics. He also holds an MSc in Computer Security and Digital Forensics with distinction from the University of Bedfordshire, alongside a Post Graduate Diploma in Education and a BSc in Computer Science from Benue State University, Nigeria. Dr. Ashawa has extensive teaching experience, having developed innovative course modules and provided individualized support to students. His research interests encompass penetration testing, malware analysis, digital forensics, and the integration of artificial intelligence in cybersecurity. He has secured significant research grants and has published numerous peer-reviewed articles, reflecting his commitment to advancing knowledge in his field. As a Fellow of the Higher Education Academy, Dr. Ashawa is dedicated to fostering academic excellence and preparing students for careers in technology and cybersecurity.

Profile:

Education:

Dr. Moses Ashawa holds a Ph.D. in Cyber Defence and Security from Cranfield University, United Kingdom, which he completed in 2022. He earned his Master of Science in Computer Security and Digital Forensics with distinction from the University of Bedfordshire in 2017. Dr. Ashawa also holds a Post Graduate Diploma in Education (PGDE) from the National Open University of Nigeria, obtained in 2015, and a Bachelor of Science with Honours in Computer Science from Benue State University, Makurdi, Nigeria, completed in 2013. Additionally, he completed his secondary education with the West African Education Certificate (WAEC) at Calvin Foundation College, Nigeria, in 2006. This diverse educational background provides him with a strong foundation in both technical and pedagogical aspects of computer science and cybersecurity.

Professional Experience:

Dr. Moses Ashawa has a diverse professional background that spans teaching, research, and curriculum development. Currently, he plays a pivotal role in shaping the academic experience at his institution by developing lecture notes and course modules that align with university curricula and setting clear learning objectives. His commitment to student success is evident in his approach to assessment, where he marks student work and provides impactful feedback to enhance their understanding and confidence. Dr. Ashawa actively collaborates with unit heads and course coordinators to innovate curriculum developments, ensuring that academic standards are met and that emerging technologies are integrated into the learning experience. Additionally, he contributes to research projects in Cyber Security and Digital Forensics, collaborating with industry partners such as Cisco to strengthen student internships and employability prospects. His previous experience includes serving as a Maths and ICT Supply Teacher in the UK, where he prepared lesson plans and established positive relationships with students, parents, and colleagues. As a Graduate Assistant at the American University of Nigeria, he delivered undergraduate lectures on topics such as artificial intelligence and ethical hacking, while also supporting students in their practical sessions and projects. Dr. Ashawa’s multifaceted experience highlights his dedication to education and research in the field of cybersecurity.

Research Interests:

Dr. Moses Ashawa’s research interests lie at the intersection of cybersecurity and advanced technology. He specializes in penetration testing and ethical hacking, focusing on developing methods to assess and enhance the security of systems against potential threats. His work in malware analysis involves investigating malicious software to understand its behavior and develop effective detection techniques. Additionally, Dr. Ashawa is passionate about digital forensics, exploring ways to recover and analyze data from digital devices to support investigations and legal proceedings. He is also keenly interested in the applications of artificial intelligence and machine learning in cybersecurity, particularly how these technologies can be leveraged to improve threat detection and response strategies. Furthermore, his research extends to the Internet of Things (IoT), where he examines the unique security challenges posed by interconnected devices and seeks innovative solutions to safeguard them. Through his research, Dr. Ashawa aims to contribute significantly to the advancement of cybersecurity practices and knowledge.

Skills:

Dr. Moses Ashawa possesses a robust skill set that spans various domains within cybersecurity and education. His technical expertise includes penetration testing, ethical hacking, and malware analysis, allowing him to identify vulnerabilities in systems and develop effective security measures. He is proficient in digital forensics, utilizing advanced methodologies to recover and analyze data from electronic devices for investigative purposes. Dr. Ashawa has a strong foundation in artificial intelligence and machine learning, which he applies to enhance cybersecurity measures and improve threat detection capabilities. In addition to his technical skills, he excels in curriculum development and instructional design, having created innovative course materials that engage students and facilitate effective learning. His ability to provide individualized support reflects his strong interpersonal skills and commitment to student success. Furthermore, Dr. Ashawa is adept at collaborating with industry partners, demonstrating his capacity to bridge the gap between academia and the professional world. His diverse skill set not only enhances his research capabilities but also enriches the educational experiences of his students.

Publication Top Noted:

“Enhancing credit card fraud detection: an ensemble machine learning approach”

  • Authors: AR Khalid, N Owoh, O Uthmani, M Ashawa, J Osamor, J Adejoh
  • Journal: Big Data and Cognitive Computing, 2024
  • Citations: 40

“RETRACTED ARTICLE: Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm”

  • Authors: M Ashawa, O Douglas, J Osamor, R Jackie
  • Journal: Journal of Cloud Computing, 2022
  • Citations: 39

“Analysis of android malware detection techniques: a systematic review”

  • Authors: MA Ashawa, S Morris
  • Publisher: Society of Digital Information and Wireless Communications, 2019
  • Citations: 35

“Effective methods to detect metamorphic malware: a systematic review”

  • Authors: M Irshad, HM Al-Khateeb, A Mansour, M Ashawa, M Hamisu
  • Journal: International Journal of Electronic Security and Digital Forensics, 2018
  • Citations: 23

“Analysis of mobile malware: a systematic review of evolution and infection strategies”

  • Authors: M Ashawa, S Morris
  • Publisher: جامعة نايف العربية للعلوم الأمنية‎, 2021
  • Citations: 20

“Forensic data extraction and analysis of left artifacts on emulated android phones: a case study of instant messaging applications”

  • Authors: M Ashawa, I Ogwuche
  • Journal: Seizure, 2017
  • Citations: 11

Conclusion:

Dr. Moses Ashawa exemplifies the qualities sought in the Research for Best Researcher Award. His robust academic credentials, extensive teaching experience, significant research contributions, and active engagement in professional development all position him as a leading figure in the field of Cyber Security and Digital Forensics. His ability to bridge the gap between academia and industry, alongside his dedication to fostering student success, makes him a commendable candidate for this prestigious award.

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

Khaled Alzaareer | Cybersecurity | Best Researcher Award

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Dr. Khaled Alzaareer | Cybersecurity | Best Researcher Award

Doctorate at Al Hussein Technical University, Jordan

Dr. Khaled Alzaareer is an accomplished academic and researcher in the field of Electrical Engineering, specializing in Power and Energy Systems. He holds a Ph.D. from the University of Quebec, École de Technologie Supérieure (ETS) in Montreal, Canada, where he focused on innovative techniques for voltage control in smart distribution grids. Dr. Alzaareer also earned his Master’s degree in Electrical Power Engineering from Yarmouk University in Jordan, with a strong emphasis on stability analysis for photovoltaic-connected distribution grids. Currently serving as an Assistant Professor in the Department of Energy Engineering at Al Hussein Technical University in Amman, Jordan, Dr. Alzaareer has extensive teaching experience across various institutions. His research interests include power system analysis, renewable energy integration, smart grids, and energy management. He has supervised numerous design projects and has published several papers in international peer-reviewed journals, contributing significantly to advancements in his field.

Profile:

Education:

Dr. Khaled Alzaareer holds an impressive educational background in Electrical Engineering, specializing in Power and Energy Systems. He earned his Ph.D. from the University of Quebec, École de Technologie Supérieure (ETS) in Montreal, Canada, in December 2020, achieving a GPA of ‘Excellent.’ His dissertation, titled “Novel Fast Techniques for Online Voltage and T/D Power Exchange Control in Smart Distribution Grids Considering Voltage Stability Issues,” reflects his deep expertise in smart distribution grids. Prior to his doctoral studies, Dr. Alzaareer completed his Master’s degree in Electrical Power Engineering at Yarmouk University in Irbid, Jordan, in August 2012, with a dissertation focused on “Stability Analysis for Photovoltaic Connected Distribution Grid,” also earning a GPA of ‘Excellent.’ He began his academic journey with a Bachelor of Science in Electrical Power & Machines Engineering, graduating from Yarmouk University in June 2010. Additionally, he completed his General Secondary Education Certificate in the Scientific Stream from Al-Hashemite Secondary School in Ajlun, Jordan, in 2005. Dr. Alzaareer’s strong academic credentials provide a solid foundation for his research and teaching endeavors in the field of Electrical Engineering.

Professional Experience:

Dr. Khaled Alzaareer has a diverse professional background in academia and research within the field of Electrical Engineering. He currently serves as an Assistant Professor in the Department of Energy Engineering at Al Hussein Technical University (HTU) in Amman, Jordan, a position he has held since February 2023. Prior to this, he was an Assistant Professor in the Department of Electrical Engineering at Philadelphia University from September 2021 to February 2023 and a part-time lecturer at both Al Hussein Technical University and the University of Jordan. Dr. Alzaareer gained valuable research experience as a Research Assistant at Concordia University, where he contributed to the Canada Excellence Research Chair in Smart, Sustainable, and Resilient Cities. He also worked with the Power Electronics and Industrial Control Research Group at the University of Quebec (ETS) in Montreal. His earlier roles include full-time lecturer positions at Hashemite University in Jordan and Fahad Bin Sultan University in Saudi Arabia, as well as a Laboratory Instructor at Yarmouk University. Through these experiences, Dr. Alzaareer has developed a strong foundation in both teaching and research, focusing on power system analysis, renewable energy resources, and smart grid technologies.

Research Interests:

Dr. Khaled Alzaareer’s research interests encompass a broad spectrum within the field of electrical engineering, with a particular focus on power systems and renewable energy. He is deeply engaged in power system analysis and control, exploring innovative solutions to enhance the stability and efficiency of electrical grids. His work includes the integration of renewable energy resources, where he investigates methods to optimize their deployment in existing systems. Dr. Alzaareer is also passionate about smart grid technologies, aiming to develop intelligent systems that improve energy management and reliability. Furthermore, he delves into optimization and operations research, applying advanced analytical techniques to solve complex energy challenges. His research is driven by the goal of contributing to sustainable energy solutions that address the evolving demands of modern power networks.

Skills:

Dr. Khaled Alzaareer possesses a diverse set of skills that align with his expertise in electrical engineering and energy systems. His technical proficiencies include advanced knowledge in power system analysis and control, enabling him to effectively diagnose and enhance the performance of electrical grids. Dr. Alzaareer is skilled in the integration of renewable energy resources, utilizing innovative approaches to optimize their use within existing infrastructure. He is also well-versed in smart grid technologies, demonstrating an ability to design and implement intelligent energy management systems. Additionally, his expertise extends to optimization and operations research, where he employs sophisticated analytical techniques to tackle complex energy-related problems. Dr. Alzaareer’s strong academic background, combined with practical experience in research and teaching, equips him with a comprehensive skill set to contribute meaningfully to advancements in the field of electrical engineering and sustainable energy solutions.

Conclusion:

Dr. Khaled Alzaareer’s robust academic foundation, diverse professional experiences, and significant contributions to the field of Electrical Engineering position him as an exemplary candidate for the Research for Best Researcher Award. His research not only addresses current challenges in power systems but also paves the way for sustainable energy solutions in the future.

Publication Top Noted:

Charging and Discharging Strategies of Electric Vehicles: A Survey

  • Journal: World Electric Vehicle Journal
  • Cited By: 62
  • Year: 2021
  • Contributors: C.Z. El-Bayeh, K. Alzaareer, A.M.I. Aldaoudeyeh, B. Brahmi, M. Zellagui

The Value of Thermal Management Control Strategies for Battery Energy Storage in Grid Decarbonization: Issues and Recommendations

  • Journal: Journal of Cleaner Production
  • Cited By: 47
  • Year: 2020
  • Contributors: M.A. Hannan, A.Q. Al-Shetwi, R.A. Begum, S.E. Young, M.M. Hoque, P.J. Ker, K. Alzaareer, et al.

Development of New Identification Method for Global Group of Controls for Online Coordinated Voltage Control in Active Distribution Networks

  • Journal: IEEE Transactions on Smart Grid
  • Cited By: 37
  • Year: 2020
  • Contributors: K. Alzaareer, M. Saad, H. Mehrjerdi, D. Asber, S. Lefebvre

A New Sensitivity Approach for Preventive Control Selection in Real-Time Voltage Stability Assessment

  • Journal: International Journal of Electrical Power & Energy Systems
  • Cited By: 34
  • Year: 2020
  • Contributors: K. Alzaareer, M. Saad, H. Mehrjerdi, C.Z. El-Bayeh, D. Asber, S. Lefebvre

Review of the Estimation Methods of Energy Consumption for Battery Electric Buses

  • Journal: Energies
  • Cited By: 31
  • Year: 2021
  • Contributors: A.S. Al-Ogaili, A.Q. Al-Shetwi, H.M.K. Al-Masri, T.S. Babu, Y. Hoon, K. Alzaareer, et al.

Munirah Sarhan AlQahtani | Cybersecurity | Women Researcher Award

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Dr. Munirah Sarhan AlQahtani | Cybersecurity | Women Researcher Award

Associate professor at Imam Mohammed bin Saud university, Saudi Arabia

Summary:

Dr. Munirah Sarhan AlQahtani is an accomplished academic and researcher specializing in business management and human resource management. She earned her PhD in Business Management from Aston University, UK, and holds a Master of Science in Human Resource Management from the University of Stirling, UK. In addition to her academic qualifications, she is a Certified Management Consultant (CMC) and has a Postgraduate Certificate in Teaching and Learning in Higher Education. Currently an Assistant Professor at Imam Mohammed bin Saud University, Dr. AlQahtani is deeply engaged in research, teaching, and e-learning supervision. She is a member of various professional bodies, including the Academy of Management and the Higher Education Academy (UK), and is dedicated to advancing the fields of management science and organizational psychology through her research and teaching.

Profile:

Education:

Dr. Munirah Sarhan AlQahtani has a strong academic foundation in business and management. She began her higher education journey at the University of Stirling, UK, where she completed a Pre-Master in Business and Management (Postgraduate Diploma) in 2010, credited with 144 SCQF points. She then pursued a Master of Science in Human Resource Management from the same university in 2011, earning 180 SCQF points. Committed to furthering her academic expertise, Dr. AlQahtani completed her PhD in Business Management from Aston University, UK, in 2017. In addition to her degrees, she has obtained a Postgraduate Certificate (PGCert) in Teaching and Learning in Higher Education and a Certified Management Consultant Award (CMC) from the Institute of Management Consulting, further strengthening her professional qualifications.

Professional Experience:

Dr. Munirah Sarhan AlQahtani has a diverse and rich professional background that spans academia, administration, and community engagement. She began her career as a full-time Arabic language and literature teacher with the Ministry of Education in Riyadh, Saudi Arabia, from 2004 to 2008. She later transitioned into an administrative assistant role within the same ministry, where she has served since 2011. During her time in the UK, Dr. AlQahtani was a full-time doctoral researcher and teaching assistant at Aston University from 2013 to 2017. Currently, she is an Assistant Professor at Imam Mohammed bin Saud University, a role she has held since 2019. Additionally, she has been actively involved as an e-learning supervisor since 2020, contributing to the advancement of digital education platforms. Dr. AlQahtani’s wide-ranging experience highlights her dedication to education, research, and student development.

Research Interests:

Dr. Munirah Sarhan AlQahtani’s research interests lie at the intersection of management science, organizational psychology, and human resource management. She is particularly focused on exploring the latest advancements in management consultancy, leadership, and sustainability within business organizations. Dr. AlQahtani is also passionate about enhancing teaching and learning methodologies in higher education, with a special emphasis on improving student skills and developing innovative learning environments. Her research also extends to examining productivity, performance improvement, and strategic planning within organizations. Throughout her career, she has remained committed to contributing to the growing body of knowledge in management and organizational studies, with a focus on practical applications that benefit both academic and professional fields.

Skills:

Dr. Munirah Sarhan AlQahtani possesses a diverse set of skills that span both academic and professional domains. She has strong expertise in teaching and learning methodologies, particularly in higher education, where she excels in curriculum development, student mentoring, and academic supervision. Her skills in management consulting are backed by her Certified Management Consultant (CMC) certification, enabling her to provide strategic guidance on business operations, leadership, and organizational performance improvement. Dr. AlQahtani is also adept in research writing, with extensive experience in conducting and publishing academic research, particularly in management science and organizational psychology. Additionally, she has a solid command of e-learning platforms and digital education, contributing to her role as an e-learning supervisor. Her communication and presentation skills are evident from her active participation in conferences and workshops, where she shares her insights on management, education, and research strategies.

Concution:

Dr. Munirah Sarhan AlQahtani’s distinguished academic background, extensive professional experience, and dedication to research and education make her a strong candidate for the Women Researcher Award. Her commitment to advancing knowledge in business management, organizational psychology, and higher education is evident throughout her career.

Publication Top Noted:

  • The Role of Leaders’ Regulatory Focus Towards Creativity and Safety Ambidextrous Behavior: A Conceptual View
    • Author: Munirah Sarhan Alqahtani
    • Published: February 2023
    • Article Type: Full-text available
  • The Gender Gap in Senior Management: What Is Holding Saudi Women Back?
    • Author: Munirah Sarhan Alqahtani
    • Published: January 2023
    • Article Type: Full-text available
  • Winner Asia Case Comp 2022
    • Author: Munirah Sarhan Alqahtani
    • Published: December 2022
    • Article Type: Case study
  • Gender: The Moderator Role Between Materialism, Customer Value, and Customer Loyalty
    • Authors: Eman Abdulhmeed Hasnin, Munirah Sarhan Alqahtani, Somia Abdulkader Othman
    • Published: April 2022
    • Article Type: Full-text available
  • The Impact of Interactional Justice on Employees’ Job Performance and Assisting Behaviour
    • Author: Munirah Sarhan Alqahtani
    • Published: March 2022
    • Article Type: Full-text available
  • Effects of Working from Home on Job Performance: Empirical Evidence in the Saudi Context during the COVID-19 Pandemic
    • Authors: Jamel Choukir, Munirah Sarhan Alqahtani, Essam Khalil, Elsayed Mohamed
    • Published: March 2022

Md Abu Taher | Cybersecurity | Best Researcher Award

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Mr. Md Abu Taher | Cybersecurity | Best Researcher Award

PhD Student at Florida International University, United States

Summary:

Mr. Md Abu Taher is a dedicated researcher and professional in the field of electrical and computer engineering, currently pursuing his Ph.D. at Florida International University, Miami, with a focus on microgrid distributed control and cybersecurity. His research contributes to enhancing the resilience and security of modern energy systems. He holds a Bachelor’s degree in Electrical and Electronics Engineering from Bangladesh University of Engineering and Technology (BUET). With over a decade of experience, including roles as a Senior Lead Engineer at Grameenphone BD Ltd and Associate Engineer at Orascom BD Ltd, Mr. Taher has worked on energy optimization, power supply resilience, and cybersecurity measures in distributed energy systems. His research has been widely published in leading IEEE journals, emphasizing his expertise in renewable energy, smart grids, and cyber-attack mitigation.

Profile:

Education:

Mr. Md Abu Taher is currently pursuing a Ph.D. in Electrical and Computer Engineering at Florida International University, Miami, FL, USA, with a perfect CGPA of 4.0. His doctoral research focuses on microgrid distributed control and cybersecurity, areas critical to advancing energy security and grid resilience. He is expected to graduate in December 2025. Prior to this, Mr. Taher earned his Bachelor of Science (B.Sc.) degree in Electrical and Electronics Engineering from Bangladesh University of Engineering and Technology (BUET) in June 2008, where he graduated with a CGPA of 3.52 out of 4. His undergraduate studies concentrated on power systems, laying the foundation for his future work in energy systems and renewable energy solutions.

Professional Experience:

Mr. Md Abu Taher has extensive professional experience in the field of electrical engineering and energy systems. From January 2015 to April 2022, he served as a Senior Lead Engineer at Grameenphone BD Ltd, where he played a pivotal role in reducing energy consumption through various optimization techniques. His responsibilities included projecting the annual budget for network expansion and improving power supply resilience by adopting PV-based islanded power supply solutions. Prior to this, he worked as an Associate Engineer at Orascom BD Ltd from June 2008 to December 2014, where he was responsible for estimating total power consumption across the radio network and implementing optimized source selection strategies to reduce energy costs. His professional experience, combined with his academic expertise, has enabled him to make significant contributions to the energy sector, particularly in the areas of power system optimization and renewable energy solutions.

Research Interests:

Mr. Md Abu Taher’s research interests lie at the intersection of renewable energy, microgrid distributed control, and cybersecurity. His Ph.D. work focuses on developing resilient microgrid control systems, addressing the critical issue of energy security. He is particularly interested in analyzing the impact of various cyber-attacks on energy systems, including Distributed Denial-of-Service (DDoS) and False Data Injection (FDI) attacks, and exploring mitigation techniques through advanced machine learning algorithms. Additionally, Mr. Taher is passionate about enhancing the stability and resilience of the U.S. electrical grid, using artificial intelligence (AI) and innovative control strategies to protect distributed energy resources. His research contributes to advancing sustainable energy solutions and fortifying energy infrastructure against disruptions caused by both natural disasters and intentional cyber threats.

Skills:

Mr. Md Abu Taher possesses a diverse skill set that encompasses various aspects of electrical engineering and renewable energy systems. He excels in system design, operation, maintenance, and testing, demonstrating expertise in developing efficient and reliable power delivery systems. Proficient in simulation and modeling, he utilizes advanced software and tools for circuit design and analysis, including MATLAB, ETAP, and OPAL-RT. Mr. Taher also has strong programming skills in Python and expertise in using artificial intelligence techniques for cybersecurity applications. His analytical and problem-solving abilities are complemented by robust project management and organizational skills, enabling him to effectively allocate resources and lead projects. Additionally, he has a proven track record in collaborating with teams, showcasing his leadership and management capabilities in dynamic work environments. This multifaceted skill set positions him well to contribute significantly to innovative energy solutions and research initiatives.

Concution:

Mr. Md Abu Taher’s exceptional combination of academic achievements, publication record, research experience, technical expertise, and industry contributions make him a highly suitable candidate for the Best Researcher Award. His work in renewable energy, microgrid control, and cybersecurity addresses critical challenges in modern power systems, and his innovations have the potential to make a lasting impact on global energy sustainability.

Publication Top Noted:

Reliability analysis of wireless power transfer for electric vehicle charging based on continuous Markov process

  • Authors: M. Behnamfar, M.A. Taher, A. Polowsky, S. Roy, M. Tariq, A. Sarwat
  • Published In: 2023 Fourth International Symposium on 3D Power Electronics Integration and …
  • Citations: 14
  • Year: 2023

Analyzing replay attack impact in DC microgrid consensus control: Detection and mitigation by Kalman-filter-based observer

  • Authors: M.A. Taher, M. Tariq, M. Behnamfar, A.I. Sarwat
  • Published In: IEEE Access
  • Citations: 13
  • Year: 2023

Analyzing the effects of interference and packet loss on consensus-based secondary control in islanded AC microgrid

  • Authors: M.A. Taher, M. Tariq, A.I. Sarwat
  • Published In: 2023 IEEE Design Methodologies Conference (DMC), 1-6
  • Citations: 7
  • Year: 2023

Disruptive effects of denial-of-service (DoS) attacks on microgrid distributed control: Altered communication topology, voltage stability, and accurate power allocation

  • Authors: M.A. Taher, H. Iqbal, M. Tariq, A.I. Sarwat
  • Published In: 2023 IEEE International Conference on Energy Technologies for Future Grids …
  • Citations: 5
  • Year: 2023

Long short term memory utilized photovoltaic inverter humidity controller for capacitor reliability enhancement

  • Authors: S. Roy, A.S. Khan, M.A. Taher, M. Tariq, A. Sarwat
  • Published In: 2023 IEEE International Conference on Energy Technologies for Future Grids …
  • Citations: 5
  • Year: 2023

False Data Injection Attack Detection and Mitigation using Non-linear Autoregressive Exogenous Input-Based Observers in Distributed Control for DC Microgrid

  • Authors: M.A. Taher, M. Behnamfar, A.I. Sarwat, M. Tariq
  • Published In: IEEE Open Journal of the Industrial Electronics Society
  • Citations: 4
  • Year: 2024

Recurrent neural network-based sensor data attacks identification in distributed renewable energy-based DC microgrid

  • Authors: M.A. Taher, H. Iqbal, M. Tariq, A.I. Sarwat
  • Published In: 2024 IEEE Texas Power and Energy Conference (TPEC), 1-6
  • Citations: 4
  • Year: 2024

Enhancing security in islanded AC microgrid: Detecting and mitigating FDI attacks in secondary consensus control through AI-based method

  • Authors: M.A. Taher, M. Tariq, A.I. Sarwat
  • Published In: 2023 IEEE International Conference on Energy Technologies for Future Grids …
  • Citations: 4
  • Year: 2023

Wavelet and signal analyzer based high-frequency ripple extraction in the context of MPPT algorithm in solar PV systems

  • Authors: M.A. Taher, M. Behnamfar, A.I. Sarwat, M. Tariq
  • Published In: IEEE Access
  • Citations: 3
  • Year: 2024

Ousmane Thiare | Cybersecurity | Best Researcher Award

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Prof Dr. Ousmane Thiare | Cybersecurity | Best Researcher Award

Full Professor at Université Gaston Berger, Senegal

Summary:

Prof. Dr. Ousmane Thiare is a prominent scholar in Computer Science, currently serving as a Full Professor at Gaston Berger University in Saint-Louis, Senegal. He holds a Ph.D. in Computer Science from CY Cergy Paris University, along with multiple degrees in Applied Mathematics from Gaston Berger University. His extensive experience includes leadership roles in various European research initiatives aimed at enhancing agricultural studies and advancing cybersecurity in Senegal, such as his positions on the boards of the Senegal Internet Exchange Point and the National Cybersecurity School. Prof. Thiare’s research interests encompass a wide range of areas, including the Internet of Things (IoT), artificial intelligence, and circular economy. Notably, he has led significant projects, including the development of a national digital livestock tracking system in Mali and Senegal, contributing to sustainable development and innovation in the region. His dedication to education and research continues to empower future generations of scholars in Africa.

Profile:

Education:

Prof. Dr. Ousmane Thiare holds an impressive academic background, with a Ph.D. in Computer Science from CY Cergy Paris University in France, alongside multiple post-graduate and graduate degrees in Applied Mathematics from Gaston Berger University in Senegal. This extensive educational foundation has equipped him with strong analytical and technical skills, essential for advancing research in his field.

Professional Experience:

Prof. Dr. Ousmane Thiare boasts an impressive professional experience in academia and research. He currently serves as a Full Professor of Computer Science at Gaston Berger University in Saint-Louis, Senegal, where he has been instrumental in implementing research projects, supervising PhD theses, and teaching various modules. He has held several leadership roles, including the Scientific and Technical Director of major European research projects, such as the “URBANE” project focused on agroecological transformation and the Erasmus-funded initiative aimed at boosting agricultural studies in Sub-Saharan Africa. Additionally, he coordinates activities related to cybersecurity through the Cyberattack Detection, Warning, and Response Activities program. His involvement extends to the boards of several organizations, including the Senegal Internet Exchange Point and the National Cybersecurity School, where he contributes to the development of regional cybersecurity strategies. Through his leadership of the Mastercard Foundation Scholar Program, he has facilitated training for fellows in digital technologies, agriculture, health, and engineering, furthering the academic and professional landscape in Senegal and beyond.

Research Interests:

Prof. Dr. Ousmane Thiare’s research interests encompass a broad spectrum of cutting-edge topics in computer science and applied mathematics. He is particularly focused on the Internet of Things (IoT), where he explores innovative applications and technologies that enhance connectivity and data exchange. His expertise also extends to artificial intelligence, where he investigates algorithms and systems that can improve decision-making processes. Prof. Thiare is actively engaged in research on Wireless Sensor Networks (WSN) and Mobile Ad Hoc Networks (MANET), aiming to optimize communication and data management in dynamic environments. Additionally, his work in parallel and distributed systems addresses challenges related to efficiency and resource allocation. He has a keen interest in Peer-to-Peer (P2P) systems and routing and data replication techniques, which are critical for ensuring reliable data transfer. Furthermore, Prof. Thiare is involved in Grid and Cloud computing research, as well as the principles of the circular economy, reflecting his commitment to sustainable and impactful technological solutions.

Skills:

Prof. Dr. Ousmane Thiare possesses a diverse array of skills that underpin his expertise in computer science and applied mathematics. He is highly proficient in advanced computational techniques, with a strong command of programming languages and frameworks essential for developing and implementing innovative solutions in his research areas. His analytical skills enable him to approach complex problems methodically, utilizing data-driven insights to inform his work. Prof. Thiare is adept at project management, having successfully coordinated multiple research initiatives and collaborations, which highlights his ability to lead interdisciplinary teams. His experience in training and mentoring students and professionals demonstrates his commitment to knowledge transfer and capacity building in the academic community. Furthermore, his understanding of current trends in digital technology, cybersecurity, and sustainable practices equips him to contribute meaningfully to both local and global discussions on the future of technology and its societal implications.

Concution:

Prof. Dr. Ousmane Thiare’s extensive education, leadership roles, and active engagement in innovative research initiatives make him a highly suitable candidate for the Research for Best Researcher Award. His contributions not only advance academic knowledge but also foster significant social and technological advancements in Senegal and beyond, aligning perfectly with the award’s objectives.

Publication Top Noted:

  • Title: Enabling privacy and security in Cloud of Things: Architecture, applications, security & privacy challenges
    Authors: AA Abba Ari, OK Ngangmo, C Titouna, O Thiare, A Mohamadou, …
    Journal: Applied Computing and Informatics
    Volume: 20
    Issue: 1/2
    Pages: 119-141
    Cited By: 100
    Year: 2024
  • Title: Flood forecasting based on an artificial neural network scheme
    Authors: FY Dtissibe, AAA Ari, C Titouna, O Thiare, AM Gueroui
    Journal: Natural Hazards
    Volume: 104
    Pages: 1211-1237
    Cited By: 71
    Year: 2020
  • Title: Resource allocation scheme for 5G C-RAN: a Swarm Intelligence based approach
    Authors: AAA Ari, A Gueroui, C Titouna, O Thiare, Z Aliouat
    Journal: Computer Networks
    Volume: 165
    Article ID: 106957
    Cited By: 71
    Year: 2019
  • Title: HGC: HyperGraph based Clustering scheme for power aware wireless sensor networks
    Authors: JEZ Gbadouissa, AAA Ari, C Titouna, AM Gueroui, O Thiare
    Journal: Future Generation Computer Systems
    Volume: 105
    Pages: 175-183
    Cited By: 47
    Year: 2020
  • Title: Low-cost antenna technology for LPWAN IoT in rural applications
    Authors: C Pham, F Ferrero, M Diop, L Lizzi, O Dieng, O Thiaré
    Conference: 2017 7th IEEE International Workshop on Advances in Sensors and Interfaces
    Cited By: 35
    Year: 2017
  • Title: A study on IoT solutions for preventing cattle rustling in African context
    Authors: O Dieng, B Diop, O Thiare, C Pham
    Conference: ICC
    Volume: 17
    Pages: 1-13
    Cited By: 34
    Year: 2017
  • Title: Nature-based one health approaches to urban agriculture can deliver food and nutrition security
    Authors: B Ebenso, A Otu, A Giusti, P Cousin, V Adetimirin, H Razafindralambo, …
    Journal: Frontiers in Nutrition
    Volume: 9
    Article ID: 773746
    Cited By: 23
    Year: 2022
  • Title: Outdoor localization and distance estimation based on dynamic RSSI measurements in LoRa networks: Application to cattle rustling prevention
    Authors: O Dieng, P Congduc, O Thiare
    Conference: 2019 International Conference on Wireless and Mobile Computing, Networking
    Cited By: 21
    Year: 2019

Jian Li Hao | Cybersecurity | Women Researcher Award

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Dr. Jian Li Hao | Cybersecurity | Women Researcher Award

Senior Associate Professor at Xi’an Jiaotong-Liverpool University, China

Summary:

Dr. Jian Li Hao is a Senior Associate Professor in the Department of Civil Engineering at Xi’an Jiaotong-Liverpool University in Suzhou, China. He holds a Ph.D. in Civil Engineering from Concordia University, Canada, and has over a decade of academic and research experience. Dr. Hao specializes in sustainable construction, waste management, and environmental impact assessment. He has published over 50 journal papers and supervised multiple Ph.D. and master’s students. With research grants exceeding 4.5 million RMB and several prestigious awards, including the Suzhou Nature Science Excellent Paper Award, Dr. Hao is recognized for his contributions to advancing sustainability in the construction industry.

Profile:

Education:

Dr. Jian Li Hao holds a robust academic foundation in civil engineering and construction management. He earned his Ph.D. in Civil Engineering from Concordia University, Montreal, Canada, where his research focused on sustainable building practices and environmental impact assessments. Prior to his doctoral studies, Dr. Hao completed his Master’s degree in Construction Management at Southeast University, China, which laid the groundwork for his expertise in construction methodologies and project management. His academic journey began with a Bachelor’s degree in Civil Engineering, also from Southeast University, where he developed a solid technical foundation in engineering principles. Dr. Hao’s diverse educational background has significantly contributed to his research in sustainable construction and waste management, positioning him as a leading scholar in the field.

Professional Experience:

Dr. Jian Li Hao has extensive professional experience in civil engineering and academia. Since July 2020, he has served as a Senior Associate Professor in the Department of Civil Engineering at Xi’an Jiaotong-Liverpool University in Suzhou, China. Prior to this role, he was an Associate Professor at the same university from September 2016 to July 2020. Before moving to China, Dr. Hao worked as an Assistant Professor in the Department of Building, Civil and Environmental Engineering at Concordia University in Montreal, Canada, from June 2014 to June 2016. In addition to his teaching and research duties, Dr. Hao has been actively involved in the development and management of the MSc Construction Management program since 2020. He has also contributed significantly to various international conference scientific committees, including the International Conference on Sustainable Solid Waste Management and the International Symposium on Solid Waste Technology and Management. His expertise extends to the supervision of graduate students, with a total of 13 Ph.D. students currently under his supervision.

Research Interests:

Dr. Jian Li Hao’s research interests lie at the intersection of civil engineering, environmental sustainability, and construction management. He focuses on sustainable waste management, with particular emphasis on minimizing construction and demolition waste. His work explores innovative solutions for decarbonizing the construction industry, with special attention to life cycle assessment of sustainable materials, including recycled aggregate and supplementary cementitious materials. Dr. Hao also investigates the environmental impact of urbanization and energy consumption, utilizing advanced modeling techniques like the STIRPAT model to assess household carbon dioxide emissions. His research further extends to policy development for sustainable construction practices, scenario simulations for waste management, and the integration of environmental sustainability into construction projects.

Skills:

Dr. Jian Li Hao possesses a diverse set of skills that span across civil engineering, environmental sustainability, and academic leadership. His expertise includes advanced modeling techniques for environmental impact assessment, with a strong focus on life cycle assessment (LCA) and the STIRPAT model for analyzing carbon emissions and energy consumption. He has extensive experience in sustainable waste management, particularly in the minimization of construction and demolition waste, and is adept at decarbonizing building processes through innovative material use. In addition to his technical skills, Dr. Hao is proficient in program development and management, having successfully led the MSc Construction Management program. His academic leadership includes PhD supervision, research grant acquisition, and module development and delivery. He also demonstrates strong capabilities in international collaboration, serving as an external examiner and contributing to scientific committees for conferences in his field. Dr. Hao’s skills are further complemented by his role as a keynote speaker and session chair at international forums on sustainability and waste management.

Publication Top Noted:

  • Title: A checklist for assessing sustainability performance of construction projects
    Authors: LY Shen, JL Hao, VWY Tam, H Yao
    Journal: Journal of Civil Engineering and Management
    Year: 2007
    Volume: 13(4), pp. 273-281
    Citations: 386
  • Title: An empirical investigation of construction and demolition waste generation rates in Shenzhen city, South China
    Authors: W Lu, H Yuan, J Li, JL Hao, X Mi, Z Ding
    Journal: Waste Management
    Year: 2011
    Volume: 31(4), pp. 680-687
    Citations: 337
  • Title: A model for cost–benefit analysis of construction and demolition waste management throughout the waste chain
    Authors: HP Yuan, LY Shen, JL Hao, WS Lu
    Journal: Resources, Conservation and Recycling
    Year: 2011
    Volume: 55(6), pp. 604-612
    Citations: 273
  • Title: Procurement innovation for a circular economy of construction and demolition waste: lessons learnt from Suzhou, China
    Authors: Z Bao, W Lu, B Chi, H Yuan, JL Hao
    Journal: Waste Management
    Year: 2019
    Volume: 99, pp. 12-21
    Citations: 223
  • Title: Carbon emission reduction in prefabrication construction during materialization stage: A BIM-based life-cycle assessment approach
    Authors: JL Hao, B Cheng, W Lu, J Xu, J Wang, W Bu, Z Guo
    Journal: Science of the Total Environment
    Year: 2020
    Citations: 219
  • Title: A simulation model using system dynamic method for construction and demolition waste management in Hong Kong
    Authors: JL Hao, MJ Hills, T Huang
    Journal: Construction Innovation
    Year: 2007
    Citations: 167
  • Title: The evolution of construction waste sorting on-site
    Authors: H Yuan, W Lu, JL Hao
    Journal: Renewable and Sustainable Energy Reviews
    Year: 2013
    Volume: 20, pp. 483-490
    Citations: 162

Kyoung Jae Lim | Cybersecurity | Best Researcher Award

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Prof. Kyoung Jae Lim | Cybersecurity | Best Researcher Award

Professor at Kangwon National University, South Korea

Summary:

Prof. Kyoung Jae Lim is a prominent figure in the field of Agricultural and Biological Engineering, currently serving as a Professor in the Department of Regional Infrastructure Engineering at Kangwon National University in the Republic of Korea. With a Bachelor of Science degree in Agricultural Engineering from Kangwon National University and both a Master of Science and a Ph.D. from Purdue University, he has established a solid academic foundation. Prof. Lim’s research focuses on watershed management, land use change, and environmental impact assessment, and he has published extensively in respected journals. His work emphasizes innovative solutions to environmental challenges, making him a respected academic leader and contributor to sustainable engineering practices.

Profile:

Education:

Prof. Kyoung Jae Lim has an impressive educational background that forms the foundation of his expertise in Agricultural and Biological Engineering. He earned his Bachelor of Science degree in Agricultural Engineering from Kangwon National University in Chuncheon, Republic of Korea, from 1991 to 1994. He then pursued his graduate studies at Purdue University in West Lafayette, Indiana, USA, where he obtained a Master of Science degree in Agricultural and Biological Engineering in 1998, followed by a Ph.D. in the same field in 2001. This strong academic background has equipped Prof. Lim with the knowledge and skills necessary to excel in research and teaching within his area of specialization.

Professional Experience:

Prof. Kyoung Jae Lim has an extensive professional background in academia, spanning over two decades at Kangwon National University in the Republic of Korea. He began his career as a Part-Time Lecturer in Agricultural Engineering in 2004, quickly advancing to the role of Assistant Professor in 2006. By 2009, he was appointed Associate Professor, and in 2015, he achieved the position of Professor in the Department of Regional Infrastructure Engineering. Prior to his tenure at Kangwon National University, Prof. Lim gained valuable experience as a Post-Doctoral Research Associate in Agricultural and Biological Engineering at Purdue University in the United States from 2001 to 2004. Throughout his career, he has been committed to both teaching and research, contributing significantly to the fields of watershed management and environmental sustainability.

Research Interests:

Prof. Kyoung Jae Lim’s research interests lie primarily in the fields of watershed management, land use change, and environmental impact assessment. He focuses on understanding the complex interactions between land use and hydrological processes, aiming to develop effective strategies for managing water resources and mitigating environmental degradation. His work often involves the application of Geographic Information Systems (GIS) and remote sensing technologies to analyze and model environmental changes at various scales. Prof. Lim is particularly interested in assessing soil erosion risks and sediment transport dynamics, which are critical for sustainable land management and conservation practices. Through his research, he seeks to contribute to the development of innovative solutions that address pressing environmental challenges, fostering a more sustainable future.

Skills:

Prof. Kyoung Jae Lim possesses a diverse skill set that underpins his expertise in Agricultural and Biological Engineering. He is proficient in the application of Geographic Information Systems (GIS) and remote sensing technologies, which he utilizes to analyze spatial data and assess environmental impacts. His strong analytical skills enable him to model hydrological processes and conduct comprehensive assessments of land use changes and soil erosion risks. Additionally, Prof. Lim has a solid foundation in research methodologies, allowing him to design and execute studies that contribute valuable insights to his field. His ability to collaborate effectively with interdisciplinary teams and communicate complex concepts clearly further enhances his impact as an educator and researcher. Prof. Lim’s commitment to innovation and sustainability positions him as a leading figure in addressing contemporary environmental challenges.

Conclution:

Prof. Kyoung Jae Lim’s comprehensive academic background, extensive research contributions, and dedication to the field of Agricultural and Biological Engineering make him an outstanding candidate for the Research for Best Researcher Award. His innovative approaches and significant findings have greatly advanced knowledge in environmental management, water resources, and soil conservation, showcasing his commitment to addressing pressing global challenges.

Publication Top Noted:

  • Forecasting land use change and its environmental impact at a watershed scale
    • Cited By: 620
    • Year: 2005
    • Journal: Journal of Environmental Management, 76(1), 35-45
  • AUTOMATED WEB GIS BASED HYDROGRAPH ANALYSIS TOOL, WHAT1
    • Cited By: 587
    • Year: 2005
    • Journal: JAWRA Journal of the American Water Resources Association, 41(6), 1407-1416
  • Global rainfall erosivity assessment based on high-temporal resolution rainfall records
    • Cited By: 532
    • Year: 2017
    • Journal: Scientific Reports, 7(1), 1-12
  • GIS-based sediment assessment tool
    • Cited By: 318
    • Year: 2005
    • Journal: Catena, 64
  • EFFECTS OF INITIAL ABSTRACTION AND URBANIZATION ON ESTIMATED RUNOFF USING CN TECHNOLOGY
    • Cited By: 150
    • Year: 2006
    • Journal: JAWRA Journal of the American Water Resources Association, 42(3), 629-643
  • Soil erosion risk assessment of the Keiskamma catchment, South Africa using GIS and remote sensing
    • Cited By: 137
    • Year: 2012
    • Journal: Environmental Earth Sciences, 65, 2087-2102
  • Runoff impacts of land-use change in Indian River Lagoon watershed
    • Cited By: 121
    • Year: 2002
    • Journal: Journal of Hydrologic Engineering, 7(3), 245-251
  • Assessment of soil erosion and sediment yield in Liao watershed, Jiangxi Province, China, using USLE, GIS, and RS
    • Cited By: 119
    • Year: 2010
    • Journal: Journal of Earth Science, 21(6), 941-953
  • Effects of calibration on L-THIA GIS runoff and pollutant estimation
    • Cited By: 97
    • Year: 2006
    • Journal: Journal of Environmental Management, 78(1), 35-43
  • Development of genetic algorithm-based optimization module in WHAT system for hydrograph analysis and model application
    • Cited By: 90
    • Year: 2010
    • Journal: Computers & Geosciences, 36(7), 936-944
  • Temporal variations in baseflow for the Little River experimental watershed in South Georgia, USA
    • Cited By: 74
    • Year: 2017
    • Journal: Journal of Hydrology: Regional Studies, 10, 110-121
  • An assessment of the utilization of waste resources for the immobilization of Pb and Cu in the soil from a Korean military shooting range
    • Cited By: 73
    • Year: 2012
    • Journal: Environmental Earth Sciences, 67, 1023-1031

Fekadu Abera | Cybersecurity | Best Researcher Award

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Mr. Fekadu Abera | Cybersecurity | Best Researcher Award

Lecturer at Oda Bultum University, Ethiopia

Summary:

Mr. Fekadu Abera is a dedicated nursing lecturer and community worker from Ethiopia, specializing in Adult Health Nursing. With a Bachelor of Science in Nursing from Hawassa University, he has accumulated over four years of experience in academia and healthcare. Currently serving as a lecturer at Oda Bultum University, he focuses on educating university students while also providing care to the elderly population in managed and long-term care settings. His research interests include diabetes management, spiritual well-being in cancer patients, and public health issues such as the effects of khat chewing among pregnant women. Mr. Abera is committed to enhancing patient care and community health through his teaching, research, and active involvement in healthcare initiatives.

Profile:

Education:

Mr. Fekadu Abera earned his Bachelor of Science in Nursing from Hawassa University, Ethiopia, between 2014 and 2017. His academic background provided him with a solid foundation in nursing, equipping him with the essential knowledge and skills required to excel in the healthcare field. This education laid the groundwork for his subsequent contributions to nursing education, research, and community health, demonstrating his commitment to improving healthcare outcomes in Ethiopia.

Professional Experience:

Mr. Fekadu Abera has extensive professional experience in nursing education and community healthcare. He has served as a university lecturer at Oda Bultum University since December 2019, where he teaches nursing students and provides guidance on various disease processes and end-of-life issues. Prior to this role, he worked at Biyyo Karaba Health Center in Doba, West Hararge, Ethiopia, where he facilitated patient discharges and connected clients with essential community services, including home health and medical equipment. With a strong focus on case management, he conducts weekly care plan meetings that involve residents, families, and interdisciplinary team members to develop effective care strategies. His experience also includes educating healthcare professionals on disseminating health education in the community and providing direct support to elderly patients and their families.

Research Interests:

Mr. Fekadu Abera’s research interests primarily focus on understanding health issues within the Ethiopian context, particularly related to chronic diseases and community health. His notable studies include exploring hypoglycemia symptoms and associated factors among diabetic patients at Adama Hospital Medical College, as well as investigating the undiagnosed status of diabetes mellitus among adults in eastern Ethiopia. He has also evaluated the antidiarrheal activities of natural extracts, contributing to the understanding of traditional medicinal practices. Additionally, Mr. Abera’s research encompasses the spiritual well-being of cancer patients and the socio-cultural factors associated with Khat chewing among pregnant women. Through his research, he aims to identify critical health challenges and contribute to improved healthcare strategies in Ethiopia.

Skills:

Mr. Fekadu Abera possesses a diverse skill set that enhances his effectiveness as a nursing lecturer and community health worker. He excels in educating students on various disease processes and end-of-life issues, equipping them with essential knowledge for their future careers. His strong problem-solving abilities enable him to address community health challenges effectively. Mr. Abera demonstrates excellent case management skills, providing support and creating individualized care plans for elderly patients to ensure their smooth transition into long-term care. He is adept at fostering healthy relationships with residents and their families, enhancing the quality of life for those in his care. Additionally, his leadership and adaptability contribute to effective teamwork in interdisciplinary settings. Fluent in English, Afaan Oromo, and Amharic, Mr. Abera is skilled in communicating health education to diverse populations, furthering his impact in the community.

Conclution:

Given Mr. Fekadu Abera’s extensive research contributions, strong academic background, and commitment to nursing education and community health, he is well-suited for the Research for Best Researcher Award. His work demonstrates a profound dedication to advancing healthcare and addressing critical public health challenges in Ethiopia.

Publication Top Noted:

Title: Knowledge of hypoglycemia symptoms and associated factors among diabetic patients in Adama Hospital Medical College, Adama, Ethiopia: A cross-sectional study

  • Authors: Tadesse, K., Mekonnen, H., Habte, T., Ayale, M., Sugebo, F.
  • Journal: Clinical Epidemiology and Global Health
  • Year: 2024
  • Volume: 28
  • Article Number: 101702