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

 

 

Assist. Prof. Dr. Mihaela Andrei | Telecommunications | Best Researcher Award

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Assist. Prof. Dr. Mihaela Andrei | Telecommunications | Best Researcher Award

Assist. Prof. Dr. Mihaela Andrei, “Dunarea de Jos” University of Galati, Romania

Assist. Prof. Dr. Mihaela Andrei is a distinguished researcher and academician specializing in Electronics and Telecommunications. She has been an integral part of “Dunarea de Jos” University of Galati since 2009, progressing through various academic roles from Junior Assistant to Lecturer. Her expertise spans Turbo Codes, Space-Time Coding, Neuro-Fuzzy Systems, and Signal Processing. In addition to her research, she has contributed significantly to undergraduate education, student supervision, and academic development. As Vice-Dean (2020–2024), she played a pivotal role in enhancing teaching quality and assurance. Recognized for her research excellence, she received the Ad Astra Award 2016 for outstanding PhD research in Engineering Sciences in Romania. She has further expanded her skills through specialized courses in communication techniques, psychology, and personal development. With a commitment to advancing the field of telecommunications and embedded systems, Dr. Andrei continues to lead impactful research and academic initiatives.

🌏 Professional Profile

Orcid

🏆 Suitability for the Best Researcher Award 

Assist. Prof. Dr. Mihaela Andrei is a highly deserving candidate for the Best Researcher Award due to her remarkable contributions to Electronics and Telecommunications. Her research in Turbo Codes, Signal Processing, and Embedded Systems has significantly advanced knowledge in the field. Her leadership as Vice-Dean (2020–2024) demonstrates her dedication to improving education quality and academic excellence. With an impressive record of research publications, student mentorship, and participation in prestigious professional activities, she exemplifies a commitment to both theoretical advancements and practical applications. Her recognition with the Ad Astra Award 2016 for excellence in PhD research in Romania further attests to her contributions. Additionally, her engagement in communication sciences, psychology, and pedagogy enhances her interdisciplinary impact. Given her extensive research, teaching, and academic leadership, Dr. Andrei stands as a top candidate for this award, embodying excellence and innovation in engineering sciences.

🎓 Education 

Assist. Prof. Dr. Mihaela Andrei has pursued a robust academic trajectory, specializing in Electronics and Telecommunications. She completed her Ph.D. at “Dunarea de Jos” University of Galati, where she laid the foundation for her expertise in Turbo Codes, Space-Time Coding, and Signal Processing. Her commitment to continuous learning is evident in her additional qualifications, including a Specialization Course in Communication Techniques and Personal Development from the Better Living Solutions Center, Iași (2023–2024). She also holds an ANC-accredited Trainer Certification (2024) and a Personal Development Advisor Certification (2022–2023). These qualifications reflect her interdisciplinary approach, blending technical expertise with communication and educational sciences. Her academic training has empowered her to contribute significantly to research and pedagogy, making her a well-rounded educator and researcher.

📌 Professional Experience 

Dr. Mihaela Andrei has an extensive academic career at “Dunarea de Jos” University of Galati, where she has held various positions since 2009. She began as a Junior Assistant (2009–2015), advancing to Assistant Lecturer (2015) and later Lecturer (2015–Present). Her role involves teaching undergraduate courses, supervising research projects, and contributing to scientific advancements in Electronics and Telecommunications. She also served as Vice-Dean (2020–2024), overseeing teaching quality assurance and curriculum development. Beyond academia, she actively engages in professional training, holding an ANC-accredited Trainer Certification (2024). Her commitment to education, research, and professional development underscores her influence in the field.

🏅 Awards & Honors 

🔸 Ad Astra Award (2016) – Recognized for excellence in PhD research in Engineering Sciences, Romania.
🔸 Vice-Dean Recognition (2020–2024) – Successfully enhanced quality assurance and academic structure at “Dunarea de Jos” University of Galati.
🔸 ANC-accredited Trainer Certification (2024) – Recognized expertise in professional training and skill development.
🔸 Personal Development Advisor Certification (2023) – Accredited by the Better Living Solutions Center, demonstrating her interdisciplinary skillset.
🔸 Specialization in Communication Techniques & Psychology (2023–2024) – Enhanced pedagogical expertise, blending engineering with human sciences.
Her awards and recognitions highlight her academic contributions, research excellence, and leadership in higher education.

🔬 Research Focus 

Dr. Mihaela Andrei’s research primarily revolves around Turbo Codes, Space-Time Coding, Neuro-Fuzzy Systems, Signal Processing, and Embedded Systems. She has made significant strides in communication systems and telecommunications, focusing on enhancing data transmission reliability and efficiency. Her interdisciplinary approach extends to education sciences, psychology, and communication, integrating human factors into technology-driven research. By investigating cutting-edge techniques in error correction, AI-driven signal processing, and telecommunication networks, she contributes to the advancement of modern communication systems. Her expertise in Neuro-Fuzzy Systems enables the development of adaptive, intelligent solutions in electronics and automation. Through her ongoing research, Dr. Andrei aims to bridge the gap between theoretical advancements and real-world applications, ensuring that her work benefits both academia and industry.

📚 Publication Top Notes:

  • Title: Embedded IoT Design for Bioreactor Sensor Integration
    • Year: 2023
  • Title: The Role of the Communication Discipline at Technical Faculties
    • Year: 2023
  • Title: Aspects of Block Interleavers Influence in MIMO Systems Affected by Impulsive Noises
    • Year: 2023
  • Title: Automotive Vibration Analysis Using ESP8266 Microcontroller
    • Year: 2023
  • Title: Data Switch in Long Line 1-Wire Networks for Monitoring System of Large Sensor Arrays
    • Year: 2023

 

Mr. JeongHun Woo | Network Services | Excellence in Research

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Mr. JeongHun Woo | Network Services | Excellence in Research

Mr. JeongHun Woo, Changwon National University, South Korea

Mr. JeongHun Woo is a dedicated researcher specializing in Network Services, Wireless Networks, and Streaming Optimization. He completed his education at Changwon National University, South Korea, and has been actively involved in cutting-edge research projects, particularly in AI-based optimization and predictive analytics. His work on Yard Image AI Recognition for logistics optimization resulted in a technology patent, showcasing his innovative contributions to industrial applications. Additionally, his 2023 first-author publication on adaptive bitrate algorithms and bandwidth prediction has significantly enhanced video streaming quality. His ongoing research on CNC tool replacement cycle prediction highlights his expertise in applying machine learning to industrial automation. With a strong foundation in AI-driven network optimizations and industrial predictive modeling, Mr. Woo continues to push technological boundaries, contributing valuable insights to academia and industry. His research excellence makes him a key player in advancing intelligent network systems. 📡📶🔬

🌏 Professional Profile

Google Scholar

🏆 Suitability for Award 

Mr. JeongHun Woo’s outstanding contributions to network optimization, AI-driven prediction models, and wireless communication technologies make him a strong candidate for the Excellence in Research Award. His groundbreaking work in adaptive video streaming algorithms has significantly improved the Quality of Experience (QoE) in streaming services, addressing critical issues in network bandwidth prediction. His Smart Yard AI project, which optimizes industrial logistics through image recognition, showcases his ability to bridge academic research with real-world applications. The issuance of a technology patent from his research further validates the impact of his work. His ongoing research on predictive maintenance for CNC machine tools highlights his versatility in applying AI-driven methodologies to industrial automation and smart manufacturing. His ability to produce innovative, high-impact research across wireless networks, AI, and predictive analytics sets him apart as a leading researcher in his field. 🏆📡📊

🎓 Education 

Mr. JeongHun Woo pursued his education at Changwon National University, South Korea, where he developed a strong foundation in Network Services, Wireless Communication, and AI-Driven Optimization. His academic journey equipped him with expertise in machine learning applications, network bandwidth prediction, and industrial AI integration. Throughout his education, he focused on research-driven problem-solving, contributing to the development of streaming optimization algorithms and predictive analytics for industrial automation. His exposure to AI-powered logistics and wireless technologies has positioned him as an emerging expert in intelligent network solutions. His academic background not only fueled his passion for research but also enabled him to lead innovative projects such as AI-based yard logistics optimization and CNC machine tool lifecycle prediction. With a strong interdisciplinary approach, his education has played a crucial role in shaping his research excellence and industry-driven solutions. 🎓📚🔍

👨‍🔬 Experience

Mr. JeongHun Woo has been deeply engaged in research projects that integrate AI, wireless communication, and industrial automation. He played a key role in the Smart Yard Industry-Academic Cooperation Project (2022), where he developed an AI-based image recognition system to optimize logistics and process flow in industrial yards. This work led to the successful issuance of a technology patent, reinforcing his contributions to real-world AI applications.

In 2023, he authored a research paper focusing on adaptive bitrate algorithms and bandwidth prediction for enhanced video streaming experiences. His work in network bandwidth prediction using gated recurrent unit models demonstrated his expertise in machine learning-driven optimizations. Currently, he is working on predicting CNC machine tool replacement cycles, leveraging AI for predictive maintenance in smart manufacturing. His diverse experience across network systems, industrial AI applications, and streaming optimizations showcases his strong research acumen and technological impact. 🏭📡🤖

🏆 Awards and Honors 

Mr. JeongHun Woo has been recognized for his pioneering research in wireless networks, AI-driven optimization, and industrial analytics. His Smart Yard AI Recognition project led to the issuance of a technology patent, highlighting the innovative real-world impact of his research. His 2023 first-author publication on adaptive bitrate streaming and bandwidth prediction has been widely acknowledged in the field of wireless networks and multimedia communication.

He has been actively involved in industry-academic collaborative projects, leading groundbreaking research that merges AI with industrial automation. His contributions to predictive analytics for CNC machine tool maintenance have positioned him at the forefront of smart manufacturing and AI-driven optimization. Through his patented technology, high-impact publications, and ongoing research in predictive maintenance, Mr. Woo has demonstrated exceptional excellence in research, making him a deserving candidate for the Research for Excellence in Research Award. 🏆📜🚀

🔬 Research Focus 

Mr. JeongHun Woo’s research revolves around Network Services, Wireless Networks, Streaming Optimization, and AI-driven Industrial Automation. His work is at the intersection of machine learning, predictive analytics, and real-world network applications.

His key research areas include:

✅ Streaming Optimization: Developing buffer-based adaptive bitrate algorithms to improve the Quality of Experience (QoE) for video streaming.
✅ AI for Industrial Automation: Leading AI-driven logistics optimization through yard image recognition and predictive maintenance in smart manufacturing.
✅ Wireless Networks & Bandwidth Prediction: Utilizing deep learning (Gated Recurrent Unit models) for accurate network bandwidth forecasting.
✅ Predictive Maintenance: Researching CNC machine tool lifecycle prediction to enhance manufacturing efficiency and reduce downtime.

His interdisciplinary approach combining network optimizations, AI, and industrial analytics makes him a key contributor to next-generation intelligent systems. 🌍📶📊

📚 Publication Top Notes:

Title: Improving the Quality of Experience of Video Streaming Through a Buffer-Based Adaptive Bitrate Algorithm and Gated Recurrent Unit-Based Network Bandwidth Prediction
Published Year: 2024

 

 

Mr. Muhammad Riaz | Efficient Networking | Best Researcher Award

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Mr. Muhammad Riaz | Efficient Networking | Best Researcher Award

Mr. Muhammad Riaz, KP TEVTA, Pakistan

Mr. Muhammad Riaz is a dedicated educator and researcher with expertise in electrical engineering, specializing in power systems and sustainable energy solutions. He holds a Master’s in Electrical Engineering from the University of Wah, where his thesis focused on optimizing power flow in renewable energy-integrated systems. With extensive experience in teaching, laboratory management, and fieldwork, Mr. Riaz has a proven track record of mentoring students and advancing practical engineering solutions. Passionate about smart grids, artificial intelligence, and control systems, he is committed to shaping the next generation of engineers while contributing to innovative energy solutions.

Professional Profile

Orcid

Suitability for Best Researcher Award

Mr. Muhammad Riaz’s dedication to advancing sustainable energy solutions and his impactful contributions to electrical engineering make him a strong candidate for the Best Researcher Award. His research on optimal power flow and renewable energy integration addresses critical challenges in modern power systems. His academic achievements, teaching excellence, and commitment to mentoring future engineers highlight his multifaceted contributions to the field. Mr. Riaz’s innovative approach and focus on practical solutions align perfectly with the award’s vision of recognizing transformative research.

Education

Mr. Muhammad Riaz completed his Master’s in Electrical Engineering at Wah Engineering College, University of Wah, in 2021, specializing in Power Engineering. His thesis, “Optimal Power Flow Solution of Modified IEEE 30 Bus System Integrated with Renewable Energy Sources,” highlights his focus on integrating renewable energy into power systems. He earned his Bachelor’s in Electrical Engineering from Bahria University Islamabad in 2018, where he designed a battery-free MPPT solar inverter as his final year project. His academic journey reflects a strong foundation in electrical and electronics engineering, complemented by minors in computer and communication engineering.

Experience

As a Lecturer at the Govt. Technical & Vocational Training Authority KP since 2021, Mr. Riaz has designed comprehensive lesson plans and delivered engaging lectures on motors, generators, PLCs, and solar PV systems. He also mentors students, fostering innovation and critical thinking. Previously, as a Lab Engineer at Wah Engineering College, he developed and implemented laboratory experiments, collaborated with faculty to optimize resources, and maintained equipment for effective teaching. His hands-on experience and dedication to teaching underscore his commitment to advancing electrical engineering education.

Awards and Honors

  • Fully Funded Scholarship: Secured a scholarship for BEE from the ICT R&D Fund, Government of Pakistan.
  • Rector’s Honor List: Recognized with Cum Laude distinction at Bahria University Islamabad.
  • Prime Minister Laptop Scheme: Awarded under the national initiative for academic excellence.
    These accolades reflect Mr. Riaz’s academic excellence and commitment to professional growth.

Research Focus

Mr. Muhammad Riaz’s research focuses on smart grids, optimal power flow, and the application of artificial intelligence in power systems. His work emphasizes sustainable energy solutions, including the integration of renewable energy into existing grids. His interests extend to control systems and optimization algorithms, aiming to enhance energy efficiency and reliability. His research aligns with global efforts to address energy challenges through innovative and intelligent systems.

Publication Top Notes

  • Article: An Optimal Power Flow Solution of a System Integrated with Renewable Sources Using a Hybrid Optimizer
    • Year: 2021
  • Article: An Optimization-Based Strategy for Solving Optimal Power Flow Problems in a Power System Integrated with Stochastic Solar and Wind Power Energy
    • Year: 2021
  • Conference Paper: An Innovative Model Based on FCRBM for Load Forecasting in the Smart Grid
    • Year: 2020
  • Conference Paper: Day Ahead Electric Load Forecasting by an Intelligent Hybrid Model Based on Deep Learning for Smart Grid
    • Year: 2020

 

 

Assoc. Prof. Dr. Yuan Li | Optical Network | Best Researcher Award

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Assoc. Prof. Dr. Yuan Li | Optical Network | Best Researcher Award

Assoc. Prof. Dr. Yuan Lil, Shaanxi University of Technology, China

Assoc. Prof. Dr. Yuan Li is an accomplished researcher specializing in optical engineering, particularly laser-matter interactions. She received her Ph.D. in Optical Engineering from Xi’an Technological University in June 2023. Dr. Li’s work focuses on understanding and advancing laser technologies, with applications spanning material science, photonics, and precision engineering. She joined Shaanxi University of Technology in July 2023, where she continues her groundbreaking research and contributes to academic excellence. Dr. Li’s innovative approach and dedication to her field make her a rising star in optical engineering.

Professional Profile

Orcid

Suitability for Best Researcher Award

Assoc. Prof. Dr. Yuan Li’s pioneering research in optical engineering positions her as a strong candidate for the Best Researcher Award. Her doctoral work on laser-matter interactions has laid the foundation for advancements in photonics and material science. At Shaanxi University of Technology, she continues to push the boundaries of laser technology, demonstrating both innovation and academic rigor. Despite her early career, Dr. Li’s contributions have significant implications for the future of optical engineering, aligning perfectly with the award’s criteria.

Education

Dr. Yuan Li completed her Ph.D. in Optical Engineering at Xi’an Technological University in June 2023. Her doctoral research explored laser-matter interactions, contributing to advancements in photonics and material science. During her academic journey, Dr. Li developed a strong foundation in optical technologies, experimental techniques, and theoretical modeling. Her education reflects her commitment to pushing the boundaries of knowledge in optical engineering.

Experience

Dr. Yuan Li began her professional career at Shaanxi University of Technology in July 2023, where she serves as an Associate Professor. Her responsibilities include conducting cutting-edge research in laser technologies and mentoring students in optical engineering. Despite her recent appointment, Dr. Li has already demonstrated a remarkable ability to translate complex theories into practical applications, fostering innovation and collaboration within her department.

Awards and Honors

Although Dr. Yuan Li’s career is in its early stages, her exceptional research in laser-matter interactions has garnered recognition within the academic community. She has been invited to present her findings at notable conferences and has contributed to impactful publications in optical engineering. Her achievements reflect her potential to emerge as a leader in her field.

Research Focus

Dr. Yuan Li’s research focuses on laser-matter interactions, with an emphasis on understanding how lasers influence material properties at the microscopic level. Her work has applications in photonics, material processing, and precision engineering. By combining theoretical insights with experimental validation, Dr. Li aims to develop innovative laser technologies that address modern engineering challenges.

Publication Top Notes

  • Article: Quantifying Uncertainty in Laser-Induced Damage Threshold for Cylindrical Gratings
    • Year: 2024
  • Article: Characterization of Damage Morphology of Structural SiO₂ Film Induced by Nanosecond Pulsed Laser
    • Date: 2022
  • Article: A Study of Resolution Improvement in Noncoherent Optical Coherence Imaging
    • Year: 2022
  • Article: Optical Film Damage Classification Based on Neural Network
    • Year: 2022
  • Article: Optical and Laser-Induced Damage Characterization of Porous Structural Silicon Oxide Film with Hexagonal Period by Nanoimprint Lithography
    • Year: 2022

 

Prof. Dr. Resul Das | Computer Networks Awards | Best Faculty Award

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Prof. Dr. Resul Das | Computer Networks Awards | Best Faculty Award

Prof. Dr. Resul Das, Firat Universtiy, Turkey

Prof. Dr. Resul Das is a Full Professor in the Department of Software Engineering at Firat University, Turkey, specializing in software engineering, cyber security, data science, and IoT solutions. He earned his Ph.D. in Electrical-Electronics Engineering from Firat University and later pursued postdoctoral research at the University of Alberta, Canada, where he focused on multi-sensor data fusion and IoT security. Prof. Dr. Das has a strong academic background, with research interests spanning agile software development, network management, machine learning, and smart applications. He has received numerous awards, including TÜBiTAK’s Academic Publication Encouragement Award and the European Union’s Leonardo Da Vinci Education Grant. Prof. Dr. Das is also an active member of professional associations, including the Cisco Networking Academy and the Vocational and Technical Education Development Association. ✨🎉

Publication Profile:

Scopus
Orcid
Google Scholar

Suitability for the Award

Prof. Dr. Resul Das’s extensive academic contributions, global research impact, and leadership in advancing education and research make him a highly suitable candidate for the Research for Best Faculty Award. His work in IoT security, graph data science, and fog computing has not only addressed critical technological challenges but also influenced subsequent research and applications. 💡💥

Academic Background

Prof. Dr. Resul Das earned his Ph.D. in Electrical-Electronics Engineering from Firat University, Turkey (2008), with a focus on Knowledge Extraction from Web User Access Logs. He also completed his M.Sc. in Electronics and Computer Science (2002) from the same institution, specializing in Video Conference System Design. 🔐💡

Research Interests

His expertise spans Software Engineering, Computer Networks, Cyber Security, Data Science, and IoT/M2M Solutions, particularly in multi-sensor data fusion, IoT security, smart grids, fog computing, and big data. His work on cyber-attacks, machine learning, and network optimization contributes to advancing modern tech infrastructure. 🎉💡

Professional Career

Currently a Full Professor at Firat University, Dr. Das has held notable positions as a Visiting Professor at the University of Alberta, Canada, and has led numerous successful research projects in IoT security and data fusion. His contributions have earned him several prestigious awards, including TÜBiTAK Academic Publication Encouragement Award (16 times) and the EU Leonardo Da Vinci Education Grant (2006). 🌍✨

Global Recognition

A TÜBiTAK International Postdoctoral Research Fellowship recipient, Prof. Dr. Das has also contributed significantly as a Cisco Networking Academy Instructor and Project Coordinator. His work has been recognized globally for its impact on cyber security and data science advancements. 🔐💡🌍

Publication Top Notes:

  • Effective diagnosis of heart disease through neural networks ensembles
    • Citations: 848
    • Year: 2009
  • Cyber-security in smart grids: Threats and potential solutions
    • Citations: 729
    • Year: 2020
  • A comparison of multiple classification methods for diagnosis of Parkinson’s disease
    • Citations: 486
    • Year: 2010
  • Performance analysis of classification algorithms on early detection of liver disease
    • Citations: 221
    • Year: 2017
  • A novel honeypot-based security approach for real-time intrusion detection and prevention systems
    • Citations: 139
    • Year: 2018

 

 

Dr. Lin Li | AI in Networking | Best Researcher Award

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Dr. Lin Li | AI in Networking | Best Researcher Award

Dr. Lin Li, upm, Malaysia

Lin Li, born in Wuhan, China, is an accomplished academic and researcher specializing in the convergence of Artificial Intelligence and Public Art, with a focus on intelligent interaction and restorative therapeutic perspectives. She earned her Ph.D. in Landscape Architecture from Universiti Putra Malaysia and her Master’s in Design Studies from Hubei University of Technology. Lin Li serves as a Lecturer at the Wuhan Institute of Design and Sciences, where she has been dedicated to enhancing the design curriculum and mentoring students since 2008. Her work emphasizes the therapeutic potential of public art, blending technology with traditional design to create interactive experiences that positively impact public spaces. Lin Li’s expertise spans advertising creativity, corporate branding, and digital marketing, contributing significantly to the fields of design and landscape architecture through her innovative research, teaching, and active involvement in workshops and seminars.

Professional Profile

Orcid

Suitability for the Best Researcher Award

Lin Li stands out as a compelling candidate for the Best Researcher Award due to her unique blend of academic excellence, practical experience, and a strong focus on innovative research areas within landscape architecture and design. Her Ph.D. in Landscape Architecture from Universiti Putra Malaysia, complemented by her Master’s in Design Studies from Hubei University of Technology, underscores her robust academic foundation. Her research specialization in Artificial Intelligence and Public Art, particularly in intelligent interaction and restorative therapeutic perspectives, positions her at the forefront of interdisciplinary research that merges technology, design, and mental well-being.

🎓  Education 

Lin Li holds a Ph.D. in Landscape Architecture from Universiti Putra Malaysia, where she focused on integrating Artificial Intelligence into public art to explore its therapeutic potential and applications in intelligent interaction. Her research investigates how AI can create restorative environments that enhance public well-being, contributing new insights to the fields of landscape architecture and public art. Previously, she completed a Master’s in Design Studies at Hubei University of Technology, China (2012–2015), where she concentrated on foundational design principles and creative methodologies. Lin Li’s academic journey is marked by her interdisciplinary approach, linking design theory with advanced AI technologies to develop sustainable and meaningful public art experiences. Her educational background supports her ongoing exploration into the intersections of creativity, technology, and public engagement, establishing her as a thought leader in therapeutic art and innovative design strategies.

💼   Experience 

Lin Li has been a Lecturer at the Wuhan Institute of Design and Sciences, China, since 2008, where she delivers courses in advertising creativity, brand marketing communication, and corporate image design. Her role involves not only teaching but also shaping the institution’s design curriculum and mentoring students in their professional development. Lin organizes workshops and seminars, fostering a dynamic learning environment where students can deepen their understanding of design principles. Her experience in academia is complemented by her professional expertise in creative content and digital marketing, particularly within interactive art and corporate branding. Lin Li’s innovative approach combines her deep understanding of design theory with a practical focus on media applications, making her an influential figure in the Chinese design education landscape. She has contributed significantly to advancing public art’s therapeutic and communicative aspects through her teaching and research initiatives.

🏅Awards and Honors 

Lin Li has earned recognition for her contributions to design education and her research in public art. She has received multiple awards for her innovative approaches to integrating Artificial Intelligence within public art, underscoring her dedication to advancing restorative and interactive public spaces. Her accolades include the Excellence in Design Education Award from the Wuhan Institute of Design and Sciences, which celebrates her commitment to student mentorship and curriculum development. Additionally, she has been honored at international design forums for her impactful research on the therapeutic effects of public art, gaining recognition from both academic and professional communities. Lin’s awards reflect her vision of blending technology and creativity to benefit public spaces and her ongoing contribution to enriching the fields of design and landscape architecture through a forward-thinking approach.

🌍 Research Focus 

Lin Li’s research centers on the application of Artificial Intelligence within Public Art, specifically exploring intelligent interaction and restorative, therapeutic perspectives. Her work investigates how AI-driven designs can transform public spaces into interactive, healing environments, providing sensory and emotional benefits to visitors. Lin’s approach combines traditional art forms with digital interactivity, creating art installations that respond to audience engagement. Her studies in landscape architecture have led her to focus on the therapeutic potential of AI-enabled public art in promoting mental well-being, as well as how intelligent design elements can foster community connection and reflection in urban spaces. Lin Li’s research interest in public art communication and restorative effects aligns with her aim to blend AI technologies with art, pioneering a new frontier in both therapeutic design and sustainable public engagement.

📖 Publication Top Notes

  • Title: The Impact of Virtual Immersive Public Art on the Restorative Experience of Urban Residents

 

Prof. Arturo Benayas Ayuso | AI in Networking | Best Researcher Award

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Prof. Arturo Benayas Ayuso | AI in Networking | Best Researcher Award

Prof. Arturo Benayas Ayuso, Universidad Politécnica de Madrid, Spain

Arturo Benayas Ayuso is a highly skilled Naval Architect with an MSc from Universidad Politécnica de Madrid, currently pursuing a Ph.D. focusing on IoT applications in ship design and management. As the Integration Lead for NAVANTIA’s “El Cano” platform, he leads the digital transformation of naval shipbuilding, harnessing Industry 4.0 principles. Arturo has held pivotal roles across major projects, such as the Spanish S80P submarine and multi-national shipbuilding collaborations. His expertise encompasses platform integration, project management, and overseeing PLM (Product Lifecycle Management) systems, contributing significantly to modernizing naval architecture and ship design through digitization. Additionally, Arturo has co-authored influential publications and presented at global conferences on smart ship technology, IoT, and cybersecurity, marking him as an innovative force in the naval engineering field.

Professional Profile

Orcid

suitable for this Research for Best Researcher Award

Arturo Benayas Ayuso demonstrates significant qualifications for the “Best Researcher Award,” particularly in fields related to Industry 4.0 applications, IoT integration in naval architecture, and advanced project management in the shipbuilding industry. With an academic foundation in naval architecture and an ongoing Ph.D. focusing on IoT in ship design and management, Arturo brings both specialized knowledge and continuous research activity, which align well with the award’s requirements for impactful and progressive research contributions.

🎓 Education

Arturo holds an MSc in Naval Architecture from Universidad Politécnica de Madrid, with a specialization in marine motors. He is also a Ph.D. researcher focusing on IoT applications in naval engineering, particularly in ship design, shipbuilding, and management. His advanced studies delve into integrating IoT technologies within the naval architecture industry, emphasizing innovations in Industry 4.0, smart ship design, and naval automation. Arturo has undertaken extensive training in critical industry software, such as Siemens Teamcenter PLM and PTC Windchill PLM, equipping him with sophisticated skills to address the complex challenges of modern shipbuilding. His ongoing academic pursuits and certifications, including machine learning from Stanford and advanced system administration for PLM platforms, underscore his dedication to continuous learning and technological advancement in naval architecture.

💼   Experience 

Arturo Benayas Ayuso serves as the Integration Lead for NAVANTIA’s “El Cano” platform, orchestrating comprehensive integration efforts for advanced naval shipbuilding, which involves embracing Industry 4.0 digitalization. His previous roles as Technical Account Manager and Solution Architect have seen him shape FORAN-PLM integration for high-profile naval projects, like the Spanish Navy’s S80P submarine. With extensive experience in PLM systems (Windchill, Teamcenter), Arturo leads a dynamic team to deliver custom integrations for NAVANTIA’s global naval operations, ensuring optimal functionality and efficient lifecycle management. His career also includes work at SENER Ingeniería y Sistemas, managing multi-national shipbuilding collaborations, from the Royal Navy’s CVF project to offshore platform developments in Dubai. Beyond integration, Arturo contributes strategic oversight for project tenders, technical specifications, and economic forecasting.

🏅 Awards & Honors 

Arturo Benayas Ayuso has received industry recognition for his innovative contributions to naval architecture and ship design. Notably, his leadership in NAVANTIA’s “El Cano” platform exemplifies his commitment to advancing naval engineering with cutting-edge digital solutions and IoT integration. Arturo has been honored for his technical expertise, particularly in integrating PLM systems like Windchill and Teamcenter, which has significantly optimized NAVANTIA’s digital transformation. His presentations and publications, such as those at the RINA Smart Ship Technology conference, have won acclaim, further establishing his role as a thought leader in naval engineering. Additionally, Arturo’s contributions to pioneering the modernization of naval architecture through the FORAN-PLM platform have been acknowledged by peers in both industry and academia, marking his impact on the future of naval design and management.

🌍 Research Focus 

Arturo’s research emphasizes IoT applications within naval architecture, particularly in ship design, shipbuilding, and management. His Ph.D. work explores innovative IoT integrations for smart ship technology, aiming to advance ship management efficiency and safety. His research also delves into PLM system integrations, with a focus on optimizing Product Lifecycle Management for the naval industry, bridging the gap between physical and digital shipbuilding processes. Arturo is passionate about cybersecurity within IoT networks, exploring how blockchain can serve as a foundational security layer, especially for IoT-dependent naval platforms. His scholarly work, including conference presentations and journal articles, provides insights into Industry 4.0 applications, smart ships, and data management strategies for efficient maritime operations. His work positions him at the forefront of applying IoT and digital solutions in naval engineering, setting new standards for smart and secure shipbuilding.

📖 Publication Top Notes

  • CAD Sensitization, an Easy Way to Integrate Artificial Intelligence in Shipbuilding
  • Internet of Things Cybersecurity – Blockchain as First Securitization Layer of an IoT Network
  • Automated/Controlled Storage for an Efficient MBOM Process in Shipbuilding Managing IoT Technology
  • Data Management for Smart Ship or How to Reduce Machine Learning Cost in IoS Applications
  • RFID Tagging for a Connected Shipyard

Prof. Dr. Chi Xu | Networking Awards | Best Researcher Award

Posted on by ScienceFather

Prof. Dr. Chi Xu | Networking Awards | Best Researcher Award

Prof. Dr. Chi Xu, Shenyang Institute of Automation, Chinese Academy of Sciences, China

Xu Chi, Ph.D. is a Professor at the Shenyang Institute of Automation, Chinese Academy of Sciences, specializing in control science and engineering. Born on February 2, 1987, in China, he obtained his Ph.D. in Control Theory and Control Engineering from the University of Chinese Academy of Sciences in 2017. Xu has held various academic positions, including Associate Professor and Assistant Professor at the same institute. He is actively involved in multiple guest professorships at institutions like Shenyang University of Technology and Shenyang Ligong University. Xu is a senior member of several professional societies, including IEEE and the China Institute of Communications. His research focuses on industrial wireless networks, tactile internet, and intelligent manufacturing, with significant contributions through various funded projects and numerous publications in leading journals.

Professional Profile:

Google Scholar

Summary of Suitability for the Best Researcher Award

Xu Chi, Ph.D., stands out as an exemplary candidate for the Best Researcher Award due to his profound contributions to control engineering and robotics, evidenced by his extensive research funding, numerous high-impact publications, innovative patents, and active participation in professional societies. His commitment to advancing technology, coupled with his leadership in academia, positions him as a deserving recipient of this prestigious award.

🎓Education:

Dr. Xu Chi completed his Postdoctoral Research in Control Science and Engineering at the Shenyang Institute of Automation, Chinese Academy of Sciences, in Shenyang, China, from June 2019 to June 2022. He earned his Ph.D. in Control Theory and Control Engineering from the University of Chinese Academy of Sciences in Beijing, China, between March 2013 and July 2017. Prior to his doctoral studies, Dr. Xu obtained a Master’s degree in Communication and Information Systems from Liaoning Technical University in Huludao, China, where he studied from September 2010 to January 2013. He also holds a Bachelor’s degree in Communication Engineering from the same institution, which he completed from September 2006 to July 2010, along with a Bachelor (Minor) in Engineering Management earned from May 2008 to July 2010 at Liaoning Technical University.

🏢Work Experience:

Dr. Xu Chi currently serves as a Professor at the State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences in Shenyang, China, a position he has held since March 2023. Before this role, he was an Associate Professor at the same laboratory from March 2020 to February 2023, and he previously worked as an Assistant Professor from September 2017 to February 2020. In addition to his primary appointment, Dr. Xu is a Guest Professor at several institutions, including Shenyang University of Technology since April 2021, Shenyang Ligong University since December 2020, and Shenyang University of Chemical Technology since September 2020. He has also been affiliated with the National Robotics Innovation Centre in Shenyang, China, as a Guest Professor since May 2019.

🏅Awards and Memberships:

Dr. Xu Chi is an esteemed member of various professional societies, reflecting his significant contributions to the field of engineering and technology. He has been a Senior Member of IEEE, the China Institute of Communications, and the Chinese Institute of Electronics since 2022. Additionally, he holds the status of Senior Member at the Chinese Institute of Command and Control and the China Computer Federation since 2021. Dr. Xu actively participates in governance and development initiatives as a Committee Member of the Youth Working Committee of the Chinese Association of Automation since 2021 and the Youth Innovation Promotion Association at the Chinese Academy of Sciences since 2019.

🔬Research Focus:

Dr. Xu Chi’s research primarily focuses on several cutting-edge areas within engineering and technology. His work centers around industrial wireless networks, exploring their potential to enhance communication in various sectors. He is also deeply engaged in the tactile internet, aiming to develop applications that require real-time interactions and feedback. Additionally, Dr. Xu contributes to intelligent manufacturing by researching innovative solutions that integrate automation and data exchange. His efforts include the development and implementation of ultra-reliable and real-time control networks tailored for industrial applications, as well as fusion and unified modeling methods for heterogeneous protocol suites. Furthermore, he is actively involved in researching adaptation technologies for industrial 5G networks to improve efficiency and reliability in manufacturing processes.

Publication Top Notes:

  • Title: End-to-end throughput maximization for underlay multi-hop cognitive radio networks with RF energy harvesting
  • Cited by: 168
  • Title: Outage Performance of Underlay Multihop Cognitive Relay Networks with Energy Harvesting
  • Cited by: 108
  • Title: Real-time scheduling of massive data in time sensitive networks with a limited number of schedule entries
  • Cited by: 62
  • Title: Harvesting-Throughput Tradeoff for RF-powered Underlay Cognitive Radio Networks
  • Cited by: 33
  • Title: Digital twin-driven collaborative scheduling for heterogeneous task and edge-end resource via multi-agent