FAN Bo | Data Security Management | Best Researcher Award

Dr. FAN Bo | Data Security Management | Best Researcher Award

Senior Engineer at Southwest Jiaotong University, China

Dr. Fan Bo is a Senior Engineer and Chief Technical Specialist at the National Engineering Laboratory for Industrial Big Data Application Technology in China. With a Ph.D. and extensive experience in industrial innovation, he also serves as a project manager for the Ministry of Science and Technology’s Key Field Innovation Team and a technical expert for Chongqing Iron & Steel Electronic Co., Ltd. Dr. Fan has participated in over ten national R&D programs, published more than ten research papers, filed ten invention patents, and contributed to national and industrial standards. His groundbreaking work in data governance, business data modeling, and multi-value-chain distributed data spaces has benefited thousands of enterprises, earning him prestigious awards and international recognition.

 

Profile

Education

Dr. Fan Bo has a strong academic foundation that underpins his expertise in industrial big data and digital transformation technologies. He earned his Ph.D. in a specialized field, equipping him with advanced knowledge and research skills crucial for tackling complex engineering and technological challenges. His academic journey reflects a commitment to excellence and a focus on integrating theoretical insights with practical applications, which has significantly contributed to his professional accomplishments in industrial innovation and data science.

 Experience

Dr. Fan Bo has a distinguished career marked by leadership and innovation in industrial big data and digital transformation. As Chief Technical Specialist at the National Engineering Laboratory for Industrial Big Data Application Technology, he oversees key technological advancements. He has participated in over ten national R&D programs, including leading a sub-project, and directed four key R&D initiatives in Sichuan Province. Additionally, Dr. Fan managed two horizontal digital transformation projects for China’s National Pipeline Group during the 13th and 14th Five-Year Plans. His concurrent roles as project manager for the Ministry of Science and Technology’s Key Field Innovation Team and technical expert for Chongqing Iron & Steel Electronic Co., Ltd. highlight his multifaceted expertise and ability to drive impactful projects in the field.

Research Interests

Dr. Fan Bo’s research interests focus on the application of industrial big data, data governance, and digital transformation technologies. He is particularly interested in the development and implementation of data governance platforms, business data models, and multi-value-chain distributed data spaces. His work aims to optimize industrial processes through innovative data solutions, particularly in the manufacturing and automotive sectors. Dr. Fan’s research also explores the integration of cloud service technologies and scenario-oriented business models to enhance efficiency and drive economic benefits for industrial enterprises. His contributions continue to shape the future of industrial data applications and digital innovation.

Skills

Dr. Fan Bo possesses a wide range of technical and leadership skills that have contributed to his success in industrial big data and digital transformation. He is highly skilled in data governance, designing and implementing complex data platforms, and developing business data models tailored to specific industrial scenarios. His expertise also extends to multi-value-chain distributed data spaces, enabling optimized data utilization across various industries, particularly in manufacturing and automotive sectors. Additionally, Dr. Fan has strong project management abilities, having led multiple high-impact initiatives under national R&D programs and major industrial projects. His proficiency in cloud service technologies, technical standard development, and innovation in digital transformation underscores his versatility and ability to drive technological advancements.

 

Publication

Title: Optimal Selection Technology of Business Data Resources for Multi-Value Chain Data Space—Optimizing Future Data Management Methods

  • Authors: Bo Fan, Linfu Sun, Dong Tan, Meng Pan
  • Journal: Electronics
  • Volume: 13
  • Issue: 23
  • Article Number: 4690
  • DOI: 10.3390/electronics13234690
  • Year: 2024

Conclusion

Dr. Fan Bo’s substantial research, innovation, and leadership in advancing industrial big data applications make him a deserving candidate for the Research for Best Researcher Award. His contributions not only address critical challenges in digital transformation but also generate tangible economic and industrial benefits, solidifying his position as a leading figure in his field.

A S M Ahsanul Sarkar Akib | Cyber Threat | Best Researcher Award

Mr. A S M Ahsanul Sarkar Akib | Cyber Threat | Best Researcher Award

Managing Director at Robo Tech Valley, Bangladesh

Mr. A.S.M. Ahsanul Sarkar Akib is a highly accomplished robotics and technology expert based in Bangladesh. He holds a Bachelor of Science in Engineering from the Bangladesh University of Business and Technology, specializing in Computer Science and Engineering. With a strong passion for robotics, IoT, and drone development, he has gained extensive experience in the field through roles such as Technical Director at the Japan-Bangladesh Robotics and Advanced Technology Research Centre, and Robotics Trainer at various universities. Additionally, he is the Founder & CEO of Dhopa Elo Online Laundry Service and Robo Tech Valley & Shop. Mr. Akib has also earned several accolades, including multiple championships in robotics competitions such as Ureckon 19 in India and Technocracy 2019 in Bangladesh. His innovative projects include humanoid robots, self-learning AI educational robots, and IoT-based solutions for water turbines and smart door systems.

 

Education

Mr. A.S.M. Ahsanul Sarkar Akib has a robust academic foundation, highlighted by his Bachelor of Science (B.Sc.) in Engineering from the Department of Computer Science and Engineering at Bangladesh University of Business and Technology. His academic journey is marked by exceptional achievements, including a GPA of 4.94 in his Higher Secondary Certificate (HSC) examinations from Cantonment Public School and College (BUSMS) under the Dinajpur Board, specializing in science. He also excelled in his Secondary School Certificate (SSC) examinations, attaining a GPA of 4.75 from the same institution. These accomplishments reflect his strong analytical abilities and dedication to academic excellence.

 Experience

Mr. A.S.M. Ahsanul Sarkar Akib has a diverse and extensive professional background in robotics, technology, and entrepreneurship. He has been serving as the Technical Director at the Japan-Bangladesh Robotics and Advanced Technology Research Centre since May 2018, where he plays a key role in advancing research and development in robotics. Additionally, he worked as a Robotics Trainer at BGC Trust University (Chattogram) and the National Academy for Computer Training and Research (NACTAR) in 2020. Mr. Akib also served as a Project Coordinator and Researcher at the Bangladesh Advance Robotics Research Center in 2018 and worked as a Robotics Engineer at Rafusoft Software and Robotics Firm between 2017 and 2018. Throughout his career, he has contributed to various robotics workshops across leading universities in Bangladesh, including Dhaka University, NSU, and Brac University. As an entrepreneur, Mr. Akib is the Founder & CEO of Dhopa Elo Online Laundry Service and the Founder & Managing Director of Robo Tech Valley & Shop, where he continues to drive innovation in both technology and business.

Research Interests

Mr. A.S.M. Ahsanul Sarkar Akib’s research interests lie in the fields of robotics, Internet of Things (IoT), and drone development. He focuses on developing cutting-edge technologies such as self-learning AI systems, humanoid robots, and IoT-based automation solutions. His work includes designing innovative projects like the Humanoid Bangla AI Robot “Bongo,” a self-learning educational robot, and various robotics systems for renewable energy applications, including hydro power water turbines and automated fish farming solutions. Mr. Akib is also passionate about developing IoT-based systems for smart home automation, water monitoring, and waste management. Through his research, he aims to push the boundaries of robotics and IoT technologies to improve daily life and contribute to sustainable development.

Skills

Mr. A.S.M. Ahsanul Sarkar Akib possesses a diverse set of technical skills, with expertise in robotics, IoT, and drone development. He is proficient in programming languages such as C, C++, Java, and Python, and has hands-on experience with Robotics Operating Systems (ROS). His technical skills also include working with Latex for documentation, and he is adept at designing and developing complex robotics systems. Additionally, Mr. Akib has specialized knowledge in the creation of self-learning AI models and the development of IoT-based solutions for smart homes, water monitoring systems, and renewable energy projects. His skills in project coordination and leadership, coupled with his deep understanding of cutting-edge technology, have made him a valuable asset in various robotics and technology-driven initiatives.

 

Publications

Artificial Intelligence Humanoid Bongo Robot in Bangladesh

  • Conference2019 1st International Conference on Advances in Science, Engineering, and Technology
  • Cited By: 22
  • Year: 2019

Future Micro Hydro Power: Generation of Hydroelectricity and IoT-Based Monitoring System

  • Conference2021 International Conference on Innovation and Intelligence for Informatics
  • Cited By: 4
  • Year: 2021

Precision Fish Farming to Mitigate Pond Water Quality Through IoT

  • Conference2024 IEEE 3rd International Conference on Computing and Machine Intelligence
  • Cited By: 1
  • Year: 2024

Computer Vision-Based IoT Architecture for Post-COVID-19 Preventive Measures

  • JournalJournal of Advances in Information Technology
  • Volume: 14 (1), Pages: 7-19
  • Cited By: 5
  • Year: 2023

IoT-Based Smart Remote Door Lock and Monitoring System Using an Android Application

  • JournalEngineering Proceedings
  • Volume: 76 (1), Pages: 85
  • Year: 2024

Conclusion

Mr. A.S.M. Ahsanul Sarkar Akib’s academic excellence, innovative research, and diverse professional achievements make him a strong candidate for the Best Researcher Award. His groundbreaking projects, technical expertise, and dedication to advancing robotics and IoT position him as a leader in his field, deserving of recognition for his contributions to science and technology.

Moses Ashawa | Cybersecurity | Best Researcher Award

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.

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.

Huda Ahmed | Networks Security | Innovations in Mobile Security

Dr. Huda Ahmed | Networks Security | Innovations in Mobile Security

Lecturer at University of Basrah/ College of Computer Science and Information Technology, Iraq.

Dr. Huda Ahmed is an accomplished computer scientist specializing in artificial neural networks, with a focus on mobile and network security innovations. She earned her B.Sc. in Computer Science in 1997 and her M.Sc. in 2001 from Basrah University, Iraq, before completing her Ph.D. in 2024 at Kufa University, Iraq. Dr. Ahmed’s research spans image processing, multi-wavelet techniques, and the development of efficient routing protocols for mobile ad hoc networks (MANETs). Her work includes impactful contributions to the fields of image segmentation, video packet transmission, and blockchain-based trust management for secure routing. In addition to her research, Dr. Ahmed has extensive teaching experience in undergraduate computer science, delivering courses on computer networks, computer graphics, and image processing. She has been recognized for her innovative approaches to mobile security and her commitment to advancing network efficiency and data security.

Education:

Dr. Huda Ahmed has an extensive academic background in computer science, with a focus on neural networks and their applications. She obtained her Bachelor of Science (B.Sc.) degree in Computer Science from Basrah University, Iraq, in 1997. She continued her studies at the same institution, completing her Master of Science (M.Sc.) degree in 2001, further deepening her knowledge in the field. Dr. Ahmed is currently finalizing her doctoral studies, having earned her Ph.D. from Kufa University, Iraq, in 2024, specializing in artificial neural networks. Her rigorous academic journey has laid a strong foundation for her research and teaching roles in advanced computing and network security.

Professional Experience:

Dr. Huda Ahmed has extensive professional experience in academia and research, particularly in computer science and network security. With a teaching career spanning several years, she has delivered undergraduate courses in core computer science subjects, including Computer Networks, Computer Simulation, Graphics, and Image Processing. Dr. Ahmed’s research expertise is focused on developing innovative solutions in artificial neural networks and mobile security, where she has conducted influential studies on secure and efficient data transmission in mobile ad hoc networks (MANETs). She is also actively involved in applying blockchain frameworks to improve trust management in network protocols, contributing to enhanced mobile and network security. Dr. Ahmed’s dedication to both research and teaching has established her as a leader in her field, recognized for bridging academic theory with practical applications in mobile security.

Research Interests:

Dr. Huda Ahmed’s research interests lie at the intersection of artificial intelligence, network security, and mobile communication systems. Her primary focus is on the development and optimization of artificial neural networks, with particular applications in image processing, biometric recognition, and mobile ad hoc networks (MANETs). She is dedicated to enhancing mobile security frameworks, utilizing blockchain-enabled trust management systems for secure and energy-efficient data transmission. Additionally, Dr. Ahmed explores routing protocol performance within wireless multimedia sensor networks, aiming to improve data integrity and transmission efficiency across mobile networks. Her work also encompasses advanced image compression techniques and the application of multi-wavelet approaches, making significant strides in both computational efficiency and data security.

Skills:

Dr. Huda Ahmed possesses a diverse set of skills across multiple domains in computer science and network security. She is proficient in artificial neural network design and optimization, with a strong command of genetic algorithms for pattern recognition and classification tasks. Dr. Ahmed has expertise in mobile and wireless network protocols, specifically in mobile ad hoc networks (MANETs) and wireless multimedia sensor networks, where she excels in evaluating and enhancing routing protocols for efficient data transmission. Her skill set also includes blockchain frameworks for secure and energy-efficient routing, as well as advanced image processing techniques such as multi-wavelet compression and image segmentation. Additionally, Dr. Ahmed is well-versed in biometric systems, particularly in fingerprint documentation and matching, and has a solid foundation in computer graphics and simulation. Her programming capabilities support her extensive research in developing innovative solutions for mobile security and network resilience.

Conclusion:

Dr. Huda Ahmed’s expertise in neural networks, image processing, secure routing protocols, and blockchain-based trust management frameworks is aligned with the evolving needs in mobile security research. Her contributions in secure network architecture and data integrity frameworks position her as an ideal candidate for the Research for Innovations in Mobile Security Award.

Publication Top Noted:

An Optimized Link State Routing Protocol with a Blockchain Framework for Efficient Video-Packet Transmission and Security over Mobile Ad-Hoc Networks

  • Authors: HA Ahmed, HAA Al-Asadi
  • Journal: Journal of Sensor and Actuator Networks
  • Volume: 13 (2), Article 22
  • Cited by: 5
  • Year: 2024

Compression of Image Using Multi-Wavelet Techniques

  • Authors: HAA Saba Abdul-Wahed, Marwah Kamil Hussien
  • Journal: International Journal of Nonlinear Analysis and Applications
  • Volume: 13 (1), Pages 1519-1535
  • Cited by: 2
  • Year: 2022

An Overview of Routing Protocols Performance in Wireless Multimedia Sensor Networks

  • Authors: HA Ahmed, HAA Al-Asadi
  • Conference: 3rd Information Technology to Enhance e-Learning and Other Applications
  • Cited by: 1
  • Year: 2022

A Blockchain-Enabled Trust Management Framework for Energy-Efficient and Secure Routing in Mobile Ad-Hoc Networks

  • Authors: HA Ahmed, HA Abed Al-Asadi
  • Journal: TEM Journal
  • Volume: 13 (2)
  • Year: 2024

Performance Evaluation of MANETs Routing Protocols for Transmitting Video

  • Authors: HA Ahmed, HAA Al-Asadi
  • Journal: Journal of Basrah Research (Science)
  • Volume: 49 (2), Pages 124-139
  • Year: 2023

A Tri-Classes Method for Studying the Impact of Nodes and Sinks Number on Received Packets Ratio of MANETs Routing Protocols

  • Authors: HA Ahmed, HAA Al-Asadi
  • Conference: 15th International Conference on Developments in eSystems Engineering
  • Year: 2023

A Novel and Enhanced Routing Protocol for Large Scale Disruption Tolerant Mobile Ad Hoc Networks

  • Authors: Halia Al-Asadi, HA Ahmed, AH Al-Hassani, Nama Hambali
  • Year: 2022

A Novel and Enhanced Routing Protocol for Large Scale Disruption Mobile Ad Hoc Networks

  • Authors: Namah Hamid Ali Abed Al-Asadi, Huda A. Ahmed, Abdul-Hadi Al-Hassani
  • Journal: International Journal of Computing
  • Year: 2022

Khaled Alzaareer | Cybersecurity | Best Researcher Award

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.

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.

Hayelom Gebrye | DDoS Attack Detection | Best Researcher Award

Mr. Hayelom Gebrye | DDoS Attack Detection | Best Researcher Award

Ph.D. student at UESTC, China, Ethiopia

Mr. Hayelom Gebrye is a dedicated researcher and educator currently pursuing a Ph.D. in Computer Science and Technology at the University of Electronic Science and Technology of China (UESTC). He holds a Master of Science in Information Technology from Aksum University and a Bachelor of Science in Information Technology from Hawassa University. With extensive teaching experience at various institutions, including Harambee University and Adama Science and Technology University, he has lectured on topics such as programming, data structures, and emerging technologies. Mr. Gebrye is also actively involved in community training initiatives, providing workshops on digital technologies and effective communication. His research interests include machine learning, deep learning, and network security, with a focus on enhancing IoT security through innovative solutions. Proficient in multiple programming languages and fluent in English, Tigrigna, and Amharic, Mr. Gebrye is committed to advancing knowledge and technology in his field.

Education:

Mr. Hayelom Gebrye is currently pursuing a Ph.D. in Computer Science and Technology at the University of Electronic Science and Technology of China (UESTC), a program he commenced in September 2019. He holds a Master of Science degree in Information Technology from Aksum University, which he completed between January 2015 and March 2017. His foundational education includes a Bachelor of Science degree in Information Technology from Hawassa University, where he studied from October 2008 to July 2012. Additionally, he obtained his Secondary School Certificates from Tadagiwa, Ethiopia, between 2004 and 2008, and an Elementary School Certificate from Facha Elementary School from 1996 to 2004. This comprehensive educational journey has equipped Mr. Gebrye with a strong theoretical and practical understanding of information technology and computer science.

Professional Experience:

Mr. Hayelom Gebrye has extensive professional experience in academia and training, reflecting his commitment to education and community development. He served as a lecturer at Harambee University from September 2022 to April 2023, where he taught courses such as Fundamentals of Programming, Introduction to Emerging Technologies, and Research Methods in Computer Science. Additionally, he was a lecturer at Adama Science and Technology University (ASTU) and held part-time lecturer positions at various institutions, including Unity University and Raya University, covering subjects like System Simulation and Modeling. Mr. Gebrye has also contributed to community training programs with LIVE ADDIS, where he provided workshops on digital technology and effective communication for youth. His role as a Data Manager at TZG General Development Research involved leading data collection initiatives and ensuring data quality standards for research projects. This diverse experience underscores his expertise in teaching, training, and data management within the information technology field.

Research Interests:

Mr. Hayelom Gebrye is deeply passionate about advancing knowledge in the fields of machine learning, deep learning, and computer vision. His research interests also encompass network security and intrusion detection, where he seeks to develop innovative solutions to enhance security protocols in modern technological environments. Additionally, he is focused on expert systems and general information technology, aiming to explore the intersections of these areas to improve data analysis and decision-making processes. Mr. Gebrye has actively contributed to research initiatives, including his recent publication on traffic data extraction and labeling for machine learning-based attack detection in IoT networks, which reflects his commitment to addressing critical challenges in cybersecurity and emerging technologies.

Skills:

Mr. Hayelom Gebrye possesses a diverse skill set that underpins his expertise in information technology and computer science. He is proficient in several programming languages, including Python, C++, Java, and PHP, allowing him to develop innovative software solutions and applications. His strong background in database management is demonstrated through his proficiency with SQL Server 2012, as well as his experience in MYSQL server administration. Additionally, Mr. Gebrye has a solid foundation in networking, having managed LAN networks and supervised ICT systems in various roles. His analytical skills are further enhanced by his capabilities in qualitative and quantitative data analysis, visualization, and interpretation using tools such as Python and other software applications. Furthermore, he is skilled in training and mentoring, having conducted numerous workshops and training sessions aimed at empowering youth and enhancing their digital competencies.

Conclusion:

Mr. Hayelom Gebrye’s robust educational background, extensive teaching and training experience, active research contributions, and personal skills position him as an excellent candidate for the Best Researcher Award. His dedication to advancing knowledge in computer science, particularly in machine learning and network security, reflects his potential to make significant impacts in the field.

Publication Top Noted:

Computer vision-based distributed denial of service attack detection for resource-limited devices

  • Authors: H. Gebrye, Y. Wang, F. Li
  • Journal: Computers and Electrical Engineering
  • Volume: 120, Article ID: 109716
  • Year: 2024

Traffic data extraction and labeling for machine learning-based attack detection in IoT networks

  • Authors: H. Gebrye, Y. Wang, F. Li
  • Journal: International Journal of Machine Learning and Cybernetics
  • Volume: 14, Issue 7, Pages 2317-2332
  • Year: 2023
  • Citations: 11

Deep Reinforcement Learning for Computation Offloading and Resource Allocation in Blockchain-Based Multi-UAV-Enabled Mobile Edge Computing

  • Authors: A. Mohammed, H. Nahom, A. Tewodros, Y. Habtamu, G. Hayelom
  • Conference: 2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)
  • Pages: 295-299
  • Year: 2020
  • Citations: 28

Munirah Sarhan AlQahtani | Cybersecurity | Women Researcher Award

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

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.

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

NURENI AZEEZ | Cybersecurity | Excellence in Research Award

Assoc Prof Dr. NURENI AZEEZ | Cybersecurity | Excellence in Research Award

Associate Professor at University of Lagos, Nigeria

Summary:

Assoc. Prof. Dr. Nureni Azeez is an accomplished academic and researcher currently serving as an Associate Professor in the Department of Computer Sciences at the University of Lagos, Nigeria. He obtained his Ph.D. in Computer Science from the University of the Western Cape, South Africa, focusing on scalability and interoperability in grid-based environments. Dr. Azeez also holds an M.Sc. in Computer Science from the University of Ibadan and a B.Tech. in Computer Science from the Federal University of Technology, Akure. With a strong background in security and privacy, trust management, and web services security, he has made significant contributions through numerous published articles in reputable journals. Dr. Azeez has held various academic roles and leadership positions, emphasizing the integration of technology in development and security.

Education:

Assoc. Prof. Dr. Nureni Azeez holds a Ph.D. in Computer Science from the University of the Western Cape, South Africa, completed between May 2010 and March 2013. Prior to this, he obtained a Master of Science (Honours) in Computer Science from the University of Ibadan, Nigeria, in 2008, where he graduated with a Ph.D. grade. He also earned a Bachelor of Technology (Honours) in Computer Science from the Federal University of Technology, Akure, Nigeria, in 2004, achieving Second Class Honours, Upper Division. Dr. Azeez’s educational journey began with an Ordinary National Diploma in Computer Science in 1998 and a Senior Secondary Certificate Examination in 1996, where he achieved distinctions. His foundational education was completed at Ede Muslim Grammar School and Y.T.D School ‘B’ Ojoro, both in Osun State, Nigeria, where he attended from 1983 to 1996.

Professional Experience:

Assoc. Prof. Dr. Nureni Azeez has extensive professional experience in academia and research. He is currently an Associate Professor in the Department of Computer Sciences at the University of Lagos, Nigeria, a position he has held since October 2022. Prior to this, he served as a Senior Lecturer in the same department from October 2019 to October 2022. Dr. Azeez began his academic career as a Lecturer Grade II at the University of Lagos and subsequently progressed to Lecturer Grade I. He also gained valuable experience as a Postdoctoral Fellow at North-West University, South Africa, where he worked in the School of Information Technology. His earlier roles include research and teaching assistantships at the University of the Western Cape, as well as lecturer positions at various institutions in Nigeria. With a focus on computer science education and research, Dr. Azeez has played a significant role in shaping academic programs and mentoring students throughout his career.

Research Interests:

Assoc. Prof. Dr. Nureni Azeez has a diverse range of research interests primarily focused on the intersections of technology and security. His expertise encompasses Security and Privacy, particularly in the context of digital systems and data protection. He is also deeply involved in Trust Management, exploring how to establish and maintain trust in digital interactions. Additionally, Dr. Azeez is interested in Web Services Security, aiming to enhance the safety and reliability of online services. His research extends to ICT4D (Information and Communication Technology for Development), where he examines how technology can facilitate socio-economic growth. Furthermore, he is passionate about E-Health, investigating the role of information technology in improving health services and outcomes. Through his research, Dr. Azeez aims to contribute to the development of secure, efficient, and impactful technological solutions.

Skills:

Assoc. Prof. Dr. Nureni Azeez possesses a robust skill set that encompasses various areas of computer science and technology. His programming expertise includes proficiency in web development using PHP, HTML, XHTML, and MySQL, as well as coding in Assembly Language, Python, JAVA, FORTRAN, and BASIC across both Linux and Windows environments. He has demonstrated his capabilities in cybersecurity, particularly in web services security and machine learning applications in cyber defense. Dr. Azeez is skilled in systems analysis and design, having taught and implemented principles in academic settings. His experience also extends to database management, compiler construction, and the application of algorithms. Additionally, he has strong leadership and organizational skills, having held various academic and administrative roles within the university. His commitment to ongoing learning is evidenced by his participation in numerous training programs and workshops, further enhancing his expertise in emerging technologies and methodologies.

Concution:

In conclusion, Assoc. Prof. Dr. NURENI AZEEZ exemplifies the qualities associated with the Excellence in Research Award. His strong academic background, extensive work experience, active research contributions, leadership roles, and professional engagement collectively highlight his impact in the field of computer science. His commitment to research excellence, innovation, and education positions him as a deserving candidate for this prestigious recognition.

Publication Top Noted:

  • Security and Privacy Issues in E-Health Cloud-Based System: A Comprehensive Content Analysis
    • Authors: NA Azeez, C Van der Vyver
    • Year: 2019
    • Journal: Egyptian Informatics Journal 20 (2), 97-108
    • Citations: 163
  • Windows PE Malware Detection Using Ensemble Learning
    • Authors: NA Azeez, OE Odufuwa, S Misra, J Oluranti, R Damaševičius
    • Year: 2021
    • Journal: Informatics 8 (1), 10
    • Citations: 94
  • Using Wearable Sensors for Remote Healthcare Monitoring System
    • Authors: AP Abidoye, NA Azeez, AO Adesina, KK Agbele, HO Nyongesa
    • Year: 2011
    • Journal: Journal of Sensor Technology 2011
    • Citations: 86
  • Intrusion Detection and Prevention Systems: An Updated Review
    • Authors: NA Azeez, TM Bada, S Misra, A Adewumi, C Van der Vyver, R Ahuja
    • Year: 2020
    • Journal: Data Management, Analytics and Innovation: Proceedings of ICDMAI 2019
    • Citations: 72
  • Cyber Security: Challenges and the Way Forward
    • Authors: NA Ayofe, B Irwin
    • Year: 2010
    • Journal: Comput. Sci. Telecommun. 29, 56-69
    • Citations: 62
  • Identifying Phishing Attacks in Communication Networks Using URL Consistency Features
    • Authors: NA Azeez, BB Salaudeen, S Misra, R Damaševičius, R Maskeliūnas
    • Year: 2020
    • Journal: International Journal of Electronic Security and Digital Forensics 12 (2)
    • Citations: 60
  • Adopting Automated Whitelist Approach for Detecting Phishing Attacks
    • Authors: NA Azeez, S Misra, IA Margaret, L Fernandez-Sanz
    • Year: 2021
    • Journal: Computers & Security 108, 102328
    • Citations: 54
  • Network Intrusion Detection with a Hashing Based Apriori Algorithm Using Hadoop MapReduce
    • Authors: NA Azeez, TJ Ayemobola, S Misra, R Maskeliūnas, R Damaševičius
    • Year: 2019
    • Journal: Computers 8 (4), 86
    • Citations: 49
  • Ancaee: A Novel Clustering Algorithm for Energy Efficiency in Wireless Sensor Networks
    • Authors: AP Abidoye, NA Azeez, AO Adesina
    • Year: 2011
    • Journal: Scientific Research
    • Citations: 40

Ousmane Thiare | Cybersecurity | Best Researcher Award

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.

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