Prof. Dr. Wen-Chung Tsai | Internet of Things | Best Researcher Award

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Prof. Dr. Wen-Chung Tsai | Internet of Things | Best Researcher Award

Prof. Dr. Wen-Chung Tsai, National Taichung University of Science and Technology, Taiwan

Prof. Dr. Wen-Chung Tsai is an esteemed academic and researcher specializing in Embedded Systems, Internet of Things (IoT), Artificial Intelligence (AI), and Information Security. He earned his Ph.D. in Electronics Engineering from National Taiwan University in 2011 and has since contributed significantly to academia and industry. Dr. Tsai has held key roles at National Taichung University of Science and Technology and Chaoyang University of Technology, where he has mentored students and advanced research in wireless networks, software-hardware integration, and communication protocols. His industry experience includes serving as Deputy Manager at VIA Technologies and as a researcher at the Industrial Technology Research Institute (ITRI), Taiwan. With an extensive publication record, he continues to shape the future of computing and communication technologies.

🌍 Professional Profile 

Orcid

🏆 Suitability for Best Researcher Award 

Dr. Wen-Chung Tsai is a highly qualified candidate for the Best Researcher Award due to his outstanding contributions in Embedded Systems, IoT, AI, and Wireless Communication Protocols. His extensive experience in academia and industry enables him to conduct cutting-edge research while ensuring practical applications in technological advancements. His work in software-hardware integration and information security has paved the way for more secure and efficient digital ecosystems. Having served as an Associate Professor and Researcher, he has led multiple projects that enhance computing, connectivity, and cybersecurity. His ability to bridge theory with real-world implementation demonstrates his excellence in research, making him a deserving recipient of this prestigious award.

🎓 Education 

Dr. Wen-Chung Tsai pursued his Ph.D. in Electronics Engineering from National Taiwan University (2006-2011), where he focused on advanced computing architectures and embedded system design. Before that, he completed his Master’s in Electrical Engineering from National Cheng Kung University (1996-1998), where he specialized in networking protocols and wireless communication technologies. His strong academic foundation in software-hardware integration, AI-driven embedded systems, and IoT security has guided his research endeavors. With interdisciplinary expertise spanning computer science, electronics, and telecommunications, he has consistently contributed to technological innovation and engineering advancements. His academic journey is a testament to his commitment to pushing the boundaries of technology through rigorous research and innovation.

💼 Experience 

Dr. Wen-Chung Tsai has a rich professional background that blends academic excellence with industrial innovation. He currently serves as an Associate Professor at National Taichung University of Science and Technology (2022–Present). Prior to this, he was an Associate Professor at Chaoyang University of Technology (2020–2022) and an Assistant Professor in the same institution (2013–2020). His industry experience includes roles as Deputy Manager at VIA Technologies (2000–2009), Engineer at the Industrial Technology Research Institute (2011–2013), and Visiting Scholar at the University of Wisconsin-Madison (2010). His diverse experience in academia, research institutions, and corporate sectors enables him to drive impactful innovations in IoT, AI, and cybersecurity.

🔬 Research Focus

Dr. Wen-Chung Tsai’s research revolves around cutting-edge technologies in Embedded Systems, IoT, AI, and Cybersecurity. His work in software-hardware integration aims to develop optimized and secure computing environments. His contributions to wireless networks and communication protocols enhance the efficiency of 5G, IoT, and edge computing applications. His AI-driven security models focus on protecting IoT ecosystems from cyber threats. With expertise in real-time embedded computing, he works on power-efficient architectures for smart devices and intelligent networks. His multidisciplinary approach combines electronics, AI, and cybersecurity to develop scalable and resilient technological solutions for future smart cities, industrial automation, and digital transformation.

📊 Publication Top Notes 

  • Field-Programmable Gate Array-Based Implementation of Zero-Trust Stream Data Encryption for Enabling 6G-Narrowband Internet of Things Massive Device Access

    • Year: 2024

  • Anticipative QoS Control: A Self-Reconfigurable On-Chip Communication

    • Year: 2022

  • Automatic Key Update Mechanism for Lightweight M2M Communication and Enhancement of IoT Security: A Case Study of CoAP Using Libcoap Library

    • Year: 2022

  • Network-Cognitive Traffic Control: A Fluidity-Aware On-Chip Communication

    • Year: 2020

 

Mr. Md Abu Huraiya | Sensor Networking | Young Scientist Award

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Mr. Md Abu Huraiya | Sensor Networking | Young Scientist Award

Mr. Md Abu Huraiya, BRAC University, Bangladesh

Md Abu Huraiya is a passionate researcher in Electrical and Electronic Engineering, with expertise in photonic crystal fibers (PCF), surface plasmon resonance (SPR), microelectromechanical systems (MEMS), and surface acoustic wave (SAW) sensors. He earned his B.Sc. from Rajshahi University of Engineering & Technology (RUET) and currently serves as a Research Assistant at BRAC University. His research focuses on developing high-sensitivity optical and MEMS-based sensors, integrating Machine Learning (ML) for enhanced performance. Proficient in COMSOL Multiphysics, he has contributed to cutting-edge simulations for perovskite solar cells and biosensors. Additionally, he leads Academia Research Group, mentoring students in computational modeling and sensor development. With a strong academic foundation, hands-on expertise, and multiple research publications, Md Abu Huraiya aims to revolutionize sensor networks and photonics with advanced data analytics. His dedication to scientific innovation and education makes him a promising young researcher in the field.

🌐 Professional Profile

Google Scholar

🏆 Suitability for Young Scientist Award 

Md Abu Huraiya is an excellent candidate for the Young Scientist Award, given his groundbreaking contributions to sensor networks, photonic crystal fibers (PCF), and MEMS-based sensors. His research in SPR-based biosensors for medical diagnostics and perovskite solar cells for renewable energy highlights his ability to tackle real-world problems with cutting-edge technology. His expertise in COMSOL Multiphysics simulations has led to significant advancements in sensor design, with a focus on enhanced sensitivity and efficiency. Additionally, his leadership as the founder of Academia Research Group demonstrates his commitment to knowledge sharing and mentorship. His interdisciplinary approach, incorporating Machine Learning (ML) into sensor technology, sets him apart as an innovative researcher. With a solid track record of academic excellence, hands-on research experience, and impactful publications, he exemplifies the qualities of a young scientist driving technological advancements for a sustainable future.

🎓 Education 

Md Abu Huraiya holds a B.Sc. in Electrical and Electronic Engineering from Rajshahi University of Engineering & Technology (RUET), Bangladesh, graduating in May 2024. During his academic journey, he developed a strong foundation in photonic sensors, MEMS, and renewable energy technologies. His coursework covered optical fiber communication, signal processing, semiconductor devices, and nanotechnology. He has actively participated in research on SPR-based biosensors, PCF designs, and perovskite solar cells, gaining hands-on experience with simulation tools like COMSOL Multiphysics and MATLAB. His ability to bridge theoretical knowledge with practical applications has enabled him to contribute to high-impact research. His continuous learning mindset is evident in his certifications in radar and satellite communication and electric machines, enhancing his expertise in electromagnetic wave propagation and sensor technologies. His strong academic background and research acumen position him as a rising star in the field of Electrical and Electronic Engineering.

👨‍🔬 Research & Professional Experience 

Md Abu Huraiya is a Research Assistant at BRAC University (2024 – Present), working on perovskite solar cells, PCF-based SPR sensors, MEMS-based SAW sensors, and optical switches. His role involves designing high-sensitivity biosensors, optimizing perovskite solar cell efficiency, and leveraging Machine Learning (ML) for sensor performance improvement. He is skilled in COMSOL Multiphysics for sensor simulation and analysis.

Additionally, he founded Academia Research Group (2024 – Present), where he mentors students in COMSOL-based simulations for PCF-based SPR sensors and solar cells. He also runs a YouTube channel that provides educational content on computational modeling.

His research expertise spans nanophotonics, sensor development, and MEMS. With his innovative mindset, hands-on experience, and leadership, he is making impactful contributions to the field of sensor networks and optoelectronic devices.

🏅 Awards & Honors 

Md Abu Huraiya has received several awards and recognitions for his academic excellence and extracurricular achievements:

  1. 🏆 Thana-Level Examination Winner – Secured first prize in a highly competitive academic examination.
  2. 🏏 Cricket Championship Winner – Demonstrated teamwork and leadership as part of the winning short-pitch cricket team.
  3. 📜 Radar and Satellite Communication Certificate – Certified in advanced radar and satellite communication techniques by RUET.
  4. ⚡ Electric Machines Certification – Completed a specialized course on transformers, DC machines, and AC machines, enhancing his technical knowledge.

His ability to balance academic excellence with leadership in sports and research makes him a well-rounded candidate for prestigious awards.

🔬 Research Focus 

Md Abu Huraiya’s research primarily revolves around sensor networks, photonic crystal fibers (PCF), surface plasmon resonance (SPR), microelectromechanical systems (MEMS), photonics, and machine learning applications.

  1. PCF-based SPR Sensors – Developing high-sensitivity biosensors for medical diagnostics and environmental monitoring.
  2. MEMS-based SAW Sensors – Innovating acoustic wave sensors for precise measurements in healthcare and industrial applications.
  3. Perovskite Solar Cells – Enhancing the efficiency of lead-free perovskite solar cells using COMSOL-based simulations.
  4. Machine Learning (ML) in Sensor Optimization – Integrating AI-driven data analysis to improve sensor accuracy.
  5. Optical Switches – Designing advanced optical switching mechanisms for next-generation photonics.

His interdisciplinary approach to sensor technology, photonics, and AI-driven optimizations is shaping the future of smart and efficient sensor networks.

Publication Top Notes:

  • Title: New Approach for a Highly Sensitive V-Shaped SPR Biosensor for a Wide Range of Analyte RI Detection
    • Year: 2024
    • Citations: 5
  • Title: Ultra-sensitive Refractive Index Detection with Gold-Coated PCF-Based SPR Sensor
    • Year: 2024
    • Citations: 4
  • Title: Highly Optimized and Sensitive Bowtie Shape-Based SPR Biosensor for Different Analyte Detection
    • Year: 2025
    • Citations: 2
  • Title: A Circular Shaped SPR PCF Biosensor Based on External Sensing Mechanism
    • Year: 2024
    • Citations: 2
  • Title: Highly Sensitive X-Shaped SPR Biosensor for a Wide Range of Detection
    • Year: 2024
    • Citations: 2

 

 

Ms. Sahar Salaheldeen abdelgader abbas | Wireless Sensor Networks | Best Researcher Award

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Ms. Sahar Salaheldeen abdelgader abbas | Wireless Sensor Networks | Best Researcher Award

Ms. Sahar Salaheldeen abdelgader abbas | Southeast University | China

🌟 Sahar Salaheldeen Abdelgader Abbas holds an MSc (Honours) in Electronics and Communications Engineering from Yildiz Technical University, Istanbul, Turkey 🎓. Her research focuses on wireless networks 📡, IoT 🌐, machine learning 🤖, and wireless communications 📶. Passionate about continuous learning 📚, she thrives on challenges and embraces new skills with enthusiasm. 🚀 Sahar’s academic journey includes impactful research on energy efficiency in wireless sensor networks and LTE-A technologies, contributing to esteemed publications. ✍️ Self-motivated, communicative, and driven, she aims to expand her expertise while pursuing innovative solutions in modern communication systems. 💡

Professional Profile:

Google Scholar

Suitability for Best Researcher Award

Sahar Salaheldeen Abdelgader Abbas is highly suitable for the Best Researcher Award due to her impactful contributions in the fields of wireless networks, IoT, machine learning, and wireless communications. With an MSc (Honours) in Electronics and Communications Engineering from Yildiz Technical University, her academic foundation is solid, and her research work focuses on energy efficiency in wireless sensor networks and LTE-A technologies. These areas are crucial for advancing the capabilities and sustainability of modern communication systems.

Education 📖 & Experience 👩‍💼 

  • 📜 MSc (Honours) in Electronics & Communications Engineering, Yildiz Technical University, Turkey (2018–2021) – CGPA: 3.57/4.00
    • Thesis: “Increasing Energy Efficiency of WSNs Through Optimization of Mobile Base Station Locations”
    • Supervisor: Assoc. Prof. Tansal GUCLUOGLU
  • 🎯 BSc (Honours) in Electronics Engineering Technology, University of Gezira, Sudan (2013–2018) – CGPA: 3.85/4.00
    • Thesis: “Analysis of Cell Downlink Throughput for Intra-Band Contiguous Deployment in LTE-A Release 10”
    • Supervisor: Assoc. Prof. Abdallah A. Osman
  • 🏫 Secondary School, Alandalus Private School, Sudan (2011–2013) – Grade: 85.3%
  • 📝 Published research articles in applied sciences and international conferences
  • 🔍 Conducted advanced research on wireless sensor networks and LTE-A technologies

Professional Development 

🚀 Sahar is committed to continuous professional growth through academic research and active participation in scientific conferences 🌍. She has co-authored papers on wireless sensor networks and LTE-A technologies, contributing to global discussions on energy efficiency 📡 and optimization techniques. Her dedication to lifelong learning 📚 drives her to explore emerging trends in IoT 🌐, machine learning 🤖, and wireless communications 📶. With strong analytical skills and a passion for innovation 💡, Sahar embraces every challenge as an opportunity to enhance her knowledge and make a meaningful impact in the tech industry. ✨

Research Focus 

🔬 Sahar’s research focuses on wireless networks 📡, IoT 🌐, and machine learning 🤖, with a special interest in optimizing energy efficiency for wireless sensor networks (WSNs) ⚡. Her work explores advanced techniques to enhance network performance through mobile base station placement optimization 🚀. Additionally, she investigates LTE-A technologies 📶, focusing on downlink throughput analysis for next-generation networks. Sahar’s research contributes to the development of sustainable communication systems 🌱, bridging theoretical models with real-world applications. Her innovative mindset fosters continuous exploration of emerging technologies and their impact on future wireless communication infrastructures. 🌍

Awards & Honors 🏆

  • 🏅 Honours Degree in MSc & BSc with outstanding CGPA
  • 📜 Published in peer-reviewed journals and international conferences
  • 🌟 Recognized for contributions to energy-efficient wireless communication research

Publication Top Notes:

⚡ Increasing Energy Efficiency of WSNs Through Optimization of Mobile Base Station Locations  📑 Cited by 2
📡 Optimizing Mobile Base Station Placement for Prolonging Wireless Sensor Network Lifetime in IoT Applications
📶 Analysis of Cell Downlink Throughput for Intra-Band Contiguous Deployment in LTE-A Release 10

 

 

 

Prof. Dr. Gaofei Ren | IoT Network Award | Best Researcher Award

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Prof. Dr. Gaofei Ren | IoT Network Award | Best Researcher Award

Prof. Dr. Gaofei Ren, Jiujiang University, China

Prof. Dr. Gaofei Ren is a distinguished academic and researcher specializing in customer behavior and digital technology management. Currently a professor and master’s tutor at the School of Management, Jiujiang University, he has made significant contributions to the field through his innovative research and leadership. Dr. Ren holds a Ph.D. in Digital Technology Management from Hoseo University, a Master’s in Public Finance and Public Administration from Jiangxi University of Finance and Economics, and a Bachelor’s in Economics from Northwest University. With over 60 publications in esteemed journals like Technology in Society and two academic monographs, he has established himself as a thought leader. Dr. Ren has successfully led more than ten national and provincial projects, including those funded by the National Natural Science Foundation of China. His work addresses critical issues in IoT network environmental regulation, fiscal policies, and digital technology’s impact on customer behavior. 📚🌐📊

Professional Profile

Orcid

Suitability for Award

Prof. Dr. Gaofei Ren is an ideal candidate for the Best Researcher Award due to his groundbreaking contributions to customer behavior and digital technology management. His innovative research has provided critical insights into IoT network environmental regulation, fiscal policies, and the integration of digital technologies in management practices. Dr. Ren has published over 60 impactful papers in high-ranking journals, authored two academic monographs, and successfully led over ten prestigious research projects, including grants from the National Natural Science Foundation of China. His interdisciplinary approach combines economics, management, and technology, addressing real-world challenges and advancing academic understanding. As a professor at Jiujiang University, Dr. Ren has also mentored future leaders in management and technology. His academic rigor, impactful publications, and leadership in research make him a deserving recipient of this esteemed award. 🏆📖🔍

Education 

Dr. Gaofei Ren’s educational journey reflects his dedication to interdisciplinary excellence in economics, management, and digital technology. He earned his Ph.D. in Digital Technology Management from Hoseo University, Korea, where he developed expertise in leveraging digital tools for effective management practices. Dr. Ren completed his Master’s in Public Finance and Public Administration at Jiangxi University of Finance and Economics, gaining a robust foundation in fiscal and tax policies. His academic journey began with a Bachelor’s in Economics from Northwest University, where he cultivated a deep understanding of economic principles and their practical applications. These diverse academic experiences have equipped Dr. Ren with a unique perspective on integrating technology and management strategies, enabling him to address complex challenges in customer behavior and environmental regulation. His academic achievements underpin his contributions to research and teaching, fostering innovation and knowledge dissemination. 🎓📘🌍

Experience 

Prof. Dr. Gaofei Ren has over two decades of academic and research experience, primarily at Jiujiang University, where he has served as a professor in the School of Management since 2003. During his tenure, Dr. Ren has demonstrated exceptional leadership in research, teaching, and project management. He has successfully led over ten national, provincial, and ministerial projects, including those funded by the National Natural Science Foundation of China. His expertise in customer behavior and digital technology management has been instrumental in advancing the university’s research initiatives. Dr. Ren has also contributed significantly to academia by publishing over 60 papers in reputable journals and authoring two academic monographs. His long-standing commitment to education and research has made him a key figure in his field, inspiring students and colleagues alike. 🏫📊🌟

Awards and Honors 

Prof. Dr. Gaofei Ren has received several accolades for his outstanding contributions to research and academia. His work has been recognized by prestigious funding bodies, including the National Natural Science Foundation of China, for leading impactful research projects. Dr. Ren’s publications in high-ranking journals and his authorship of two academic monographs have further established his reputation as a leading scholar in management and digital technology. His achievements in advancing IoT network environmental regulation, fiscal policies, and customer behavior studies have earned him respect and recognition within the academic community. Additionally, Dr. Ren has been honored for his mentorship, guiding numerous students to success in their academic and professional pursuits. These accolades reflect his dedication to excellence and innovation in research, teaching, and leadership. 🏅📜🌍

Research Focus 

Prof. Dr. Gaofei Ren’s research focuses on the intersection of management, economics, and digital technology. His primary interests include customer behavior, digital technology management, IoT network environmental regulation, and fiscal and tax policies. Dr. Ren explores how digital tools can enhance management practices and improve customer experiences, addressing critical challenges in today’s technology-driven world. His research also delves into environmental regulation within IoT networks, aiming to develop sustainable and efficient solutions. By integrating fiscal and tax policy analysis, Dr. Ren provides valuable insights into the economic implications of digital transformations. His work is characterized by a multidisciplinary approach, bridging theoretical frameworks and practical applications. This focus has resulted in impactful contributions to academic literature and innovative solutions for real-world problems, advancing the fields of management and technology. 🌐📖🔬

Publication Top Notes

  • Customer Perception, Integration Behavior, and Loyalty of Internet of Things Enterprises
    • Year: 2024
  • Does Environmental Tax Promote Green Investment of Manufacturing Firms? Evidence from Chinese Heavy-Polluting Listed Companies
    • Year: 2023
  • Is the Impact of Environmental Regulation on Enterprise Green Technology Innovation Incentives or Inhibitions? A Re-examination Based on the China Meta-Analysis
    • Year: 2023
  • Study on Green Development Path and Fiscal Tax Governance from the Perspective of Supply-Side
    • Year: 2022 (December 30)
  • Research on the Short Video Newsfeed Ads, Perceived Value, and Purchase Intention from the Perspective of Chinese Mobile Short Videos
    • Year: 2020

Dr. Iulia Antohe | Sensor Networking | Best Researcher Award

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Dr. Iulia Antohe | Sensor Networking | Best Researcher Award

Dr. Iulia Antohe, National Institute for Laser, Plasma and Radiation Physics, Romania

Dr. Iulia Antohe is a Scientific Researcher at the National Institute for Lasers, Plasma, and Radiation Physics in Măgurele, Romania, where she specializes in fiber optic surface plasmon resonance (FO-SPR) sensors for healthcare and environmental applications. She has extensive expertise in biofunctionalization of nanomaterials, including gold and magnetic particles, and the development of conductometric gas sensors. Dr. Antohe has a Ph.D. in Bioscience Engineering from KU Leuven, Belgium, and a Master’s in Advanced Materials and Nanostructures for Electronics and Optoelectronics from the University of Bucharest. Her research focuses on nanotechnologies, plasmonic biosensing, and materials science, and she has contributed to various international projects and publications. She has also gained experience through research fellowships in Spain, Belgium, and Romania. Dr. Antohe is actively involved in supervising students and writing scientific articles and projects.

Publication Profile:

Orcid 
Google Scholar

Suitability for the Best Researcher Award:

Dr. Saraswati Patel’s achievements align perfectly with the criteria for the Best Researcher Award. Her impactful research on drug delivery systems and chronic disease mechanisms addresses critical challenges in pharmacology. Coupled with her leadership, academic excellence, and recognition through awards, she exemplifies a well-rounded researcher dedicated to advancing science and education.

Academic Background:

Dr. Iulia Antohe holds a Ph.D. in Bioscience Engineering from KU Leuven, Belgium, where she focused on fiber optic surface modifications for enhanced plasmonic biosensing. She also completed a Master’s in Advanced Materials and Nanostructures for Electronics and Optoelectronics at the University of Bucharest, Romania, and a Bachelor’s in Physics, specializing in Medical Physics. 🎓

Research & Expertise:

Dr. Antohe is a Scientific Researcher in the Laser Department at the National Institute for Lasers, Plasma, and Radiation Physics, Romania. Her work focuses on the development of fiber optic – surface plasmon resonance (FO-SPR) sensors for healthcare and environmental applications. She also specializes in biofunctionalization of nanomaterials, development of conductometric gas sensors, and materials synthesis and characterization. 🧬

Research Contributions & Achievements:

Dr. Antohe has contributed significantly to the development of plasmonic biosensors, particularly in the fields of allergen detection and immunoglobulin E detection using magnetic particle-based platforms. Her expertise spans materials science, nanotechnology, and bioengineering, with several years of experience in sensor design, bioassay development, and nanostructured materials synthesis. 🧪

International Experience & Collaboration:

Dr. Antohe has collaborated with prestigious institutions such as the Catalan Institute of Nanoscience and Nanotechnology (ICN2) and the Autonomous University of Barcelona. She has also attended numerous summer schools and workshops, gaining expertise in various aspects of biosensing, microfabrication, and bioprinting. 🌍

Supervision & Knowledge Sharing:

In addition to her research, Dr. Antohe supervises students and contributes to the academic community by writing articles for peer-reviewed journals and national/international project proposals. Her interdisciplinary approach bridges the gap between material science, biosensors, and environmental applications. 📚

Publications top Notes: 

  • Smart design of fiber optic surfaces for improved plasmonic biosensing
    • Year: 2015
    • Citations: 90
  • Improved surface plasmon resonance biosensing using silanized optical fibers
    • Year: 2015
    • Citations: 65
  • Thermal annealing of gold-coated fiber optic surfaces for improved plasmonic biosensing
    • Year: 2016
    • Citations: 40
  • Nanoscale patterning of gold-coated optical fibers for improved plasmonic sensing
    • Year: 2017
    • Citations: 39
  • A polyaniline/platinum coated fiber optic surface plasmon resonance sensor for picomolar detection of 4-nitrophenol
    • Year: 2021
    • Citations: 37

 

 

Mr. Bereket Endale Bekele | IoT Networking Awards | Best Researcher Award

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Mr. Bereket Endale Bekele | IoT Networking Awards | Best Researcher Award

Mr. Bereket Endale Bekele, Silesian University of Technology, Ethiopia

Bereket Endale Bekele is an IT professional from Addis Ababa, Ethiopia, with a background in Electrical Engineering and Informatics. Passionate about networking and IT infrastructure, he has amassed over four years of experience in roles spanning network administration, IT support, and consultancy. Bereket has been instrumental in optimizing networks for large enterprises and hospitality settings and is currently an IT Consultant with Phoenixopia, where he provides strategic insights for digital innovation. His academic pursuits include IoT research, with a keen focus on data transmission protocols. Bereket’s career ambition is to integrate AI into network management, developing adaptive, resilient systems for next-generation communication.

Professional Profile:

Orcid

🎓Education:

Bereket completed a Master’s in Informatics from the Silesian University of Technology in Poland, where he studied IoT security, computer networks, distributed systems, cloud computing, and machine learning. His thesis explored UDP-based data transmission in IoT environments, analyzing protocols to improve network efficiency. This education honed his understanding of data protection, scalability, and network architecture, equipping him with the technical acumen to address security challenges in IoT and develop efficient cloud solutions. Prior to this, he earned a Bachelor’s in Electrical Engineering from Adama Science and Technology University, with coursework in digital signal processing, communication systems, and electrical materials, laying a robust foundation for his career in IT.

🏢Experience:

Bereket’s career began as an IT Officer with Jupiter International Hotel and Trading in Ethiopia, where he provided IT support across the company’s trading and hospitality divisions. He then advanced to IT Network Administrator, managing complex networks and enhancing IT infrastructure performance. Moving to Concentrix, he worked as an IT Customer Support representative in Poland, strengthening his troubleshooting and customer service skills. Currently, Bereket serves as an IT Consultant with Phoenixopia in Ethiopia, where he advises on network security and optimization, leveraging his expertise to streamline and safeguard digital solutions.

🏅Awards and Honors:

Bereket has earned recognition for his technical and academic contributions in IT and IoT. He achieved a high academic distinction, graduating with a final grade of 4.72 in his Master’s program. His research on UDP-based data transmission in IoT environments was published, showcasing his innovative approach to improving network reliability. Bereket has also received commendations from supervisors for his commitment to advancing secure, efficient IoT solutions and for his hands-on expertise in enhancing network infrastructure for business and academic settings. These achievements reflect his dedication to creating impactful, future-ready IT solutions.

🔬Research Focus:

Bereket’s research focuses on optimizing data transmission in IoT environments, particularly using UDP-based protocols. His work evaluates the reliability, efficiency, and security of network protocols, emphasizing the importance of acknowledgment mechanisms to reduce packet loss in IoT networks. Bereket’s research extends to integrating AI with networking to predict network conditions and adapt protocols dynamically. His ongoing Ph.D. goals involve leveraging machine learning and edge-cloud technology to develop adaptable network systems that can support the growing demand for real-time, data-intensive applications across varied IoT topologies.

Publication Top Notes:

Performance Evaluation of UDP-Based Data Transmission with Acknowledgment for Various Network Topologies in IoT Environments

 

 

 

Dr. Faith Muhonja | Mobile Networks Awards | Best Researcher Award

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Dr. Faith Muhonja | Mobile Networks Awards | Best Researcher Award

Dr. Faith Muhonja , Amref International University , Kenya

Dr. Faith Muhonja, a distinguished public health expert from Kenya, holds a PhD in Public Health from Kenyatta University, complemented by a Master’s and Bachelor’s degree in Community Health from Great Lakes University of Kisumu. Currently serving as a Lecturer at Amref International University, she also contributes as an Adjunct Lecturer at Kenyatta University and previously worked as a Tutorial Fellow at Mount Kenya University. Dr. Muhonja’s research interests span diverse areas including food nutrition, one health, climate change, and adolescent sexual and reproductive health. She has actively participated in conferences, workshops, and policy briefs, contributing significantly to healthcare policies and practices in Africa. Her dedication to research is underscored by numerous publications and leadership roles in research projects focusing on public health challenges and solutions across the continent

Professional Profile:

Orcid

🎓Education:

Dr. Faith Muhonja pursued an extensive academic journey in public health, culminating in a PhD from Kenyatta University, Kenya, which she completed between 2018 and 2021. Prior to her doctoral studies, she earned a Master of Science in Community Health from Great Lakes University of Kisumu, Kenya, from 2015 to 2017, and a Bachelor of Science in Community Health from the same institution, completed between 2012 and 2015. These educational milestones equipped her with a comprehensive understanding of community health dynamics and prepared her for her current role as a Lecturer at Amref International University, where she contributes significantly to the field of public health through research and teaching initiatives.

🏢Professional Career:

Since 2022, Dr. Faith Muhonja has served as a Lecturer in the School of Public Health, Department of Community Health at Amref International University in Kenya. Concurrently, she holds the position of Adjunct Lecturer at Kenyatta University, beginning in 2021. Prior to these roles, from 2017 to 2022, she worked as a Tutorial Fellow at Mount Kenya University, where she contributed to academic and research activities within the field of community health. Dr. Muhonja’s career has been marked by her dedication to advancing public health education and research in Kenya, influencing both her students and the broader healthcare community through her expertise and leadership.

🔬Research Interests:

Dr. Faith Muhonja’s research interests encompass a broad spectrum of critical public health issues. She is deeply engaged in studying food nutrition and food security, aiming to enhance understanding and develop strategies to improve nutritional outcomes and ensure food access for vulnerable populations. Additionally, her work in the realm of One Health addresses the interconnectedness of human, animal, and environmental health, particularly in the context of climate change and sustainable practices such as green purchase behavior.

Publication Top Notes:

  • Title: High acceptability of newborn screening for sickle cell disease among post-natal mothers in western Kenya
  • Title: Association between Utilization of Personal Protective Equipment and Prevalence of Road Traffic Injuries amongst Motorcycle Users in Kibera Constituency, Nairobi County Kenya
  • Title: Factors Influencing Use of Personalized Asthma Action Plans among Adult Patients Aged 18-65 in Nyamira County Kenya
  • Title: Associations of Social Networks with Physical Activity Enjoyment among Older Adults: Walkability as a Modifier through a STROBE-Compliant Analysis
  • Title: Socio-Demographic Determinants Of Risky Sexual Behavior Among Adolescents: A Case Study Of Homa-Bay County, Kenya