Jurgita Malaiškienė | Innovation | Women Researcher Award

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Dr. Jurgita Malaiškienė| Innovation | Women Researcher Award

Chief researcher, Vilnius Gediminas technical university, Lithuania

Dr. Jurgita Malaiškienė (🎂 1979-05-02) is the Chief Researcher at the Laboratory of Composite Materials, Vilnius Gediminas Technical University 🏛️. With a strong academic background in Civil Engineering 👷‍♀️, she holds a Ph.D. in Technological Sciences (2008) 🎓. Her expertise centers on ceramic and cementitious materials, sustainable construction, and the application of nano-additives 🧪. Jurgita has held various academic and research positions since 2008, actively contributing to innovation in material science and engineering 🔬. She is also involved in project evaluation and education development across Lithuania 📘🇱🇹, reflecting her dedication to academic excellence and applied research 🚀.

Profile:

🎓 Education & 👩‍🔬 Professional Experience:

Dr. Jurgita Malaiškienė earned her B.Sc. 📘 (2001) and M.Sc. 📗 (2003) degrees in Civil Engineering from Vilnius Gediminas Technical University (VILNIUS TECH), followed by a Ph.D. 📕 in Technological Sciences (Civil Engineering) in 2008. Her professional journey began as a Researcher 🔬 at the Department of Building Materials, VILNIUS TECH (2008–2014). She also served as an Associate Professor 👩‍🏫 from 2009–2011 and again in 2013–2014. After a period of maternity and parental leave 👶 (2014–2016), she resumed work as a Senior Researcher 🧪 at the Research Institute of Building Materials (2016–2017) and later as a Professor 🧯 (2018–2019). In parallel, she contributed as an LVPA Assessor ✅ (2017–2018, 2023–2024). From 2017–2023, she worked as a Senior Researcher 🧬 at the Laboratory of Composite Materials and has been serving as the Chief Researcher 👩‍🔬 since 2023.

🔹Professional Development :

Dr. Malaiškienė has consistently enhanced her professional skills through specialized courses and seminars 🎓💼. From 2005–2008, she participated in human resource improvement seminars for civil engineering 🧑‍🏫. She deepened her expertise in thermal analysis and calorimetry in 2008 🌡️. Over the years, she has embraced new technologies and innovations, attending seminars like “Smart Building” (2013) 🏢💡 and courses on product development, R&D commercialization, and innovative teaching strategies 📊🧠. Her pedagogical knowledge was reinforced through dedicated courses in 2015, shaping her holistic approach to research, teaching, and industry collaboration 👩‍🏫🔬.

🔹 Research Focus :

Dr. Malaiškienė’s research revolves around ceramic and cementitious building materials 🧱🧪, with a strong emphasis on sustainability and innovation 🌍. She explores the utilization of industrial waste ♻️, enhancing the eco-efficiency of construction materials. Her studies also investigate the impact of chemical admixtures and nano additives on structural and performance properties of cement-based composites 🧬🏗️. She applies mathematical modeling to predict material behavior and optimize compositions based on key parameters 📈📐. Her interdisciplinary work bridges material science and environmental engineering, driving advances in next-generation, high-performance construction materials 🏘️🚀.

🔹Publication Top Notes :

1. Effect of Pozzolanic Additive on Properties and Surface Finish Assessment of Concrete

  • Citation:
    Girskas, G., Kriptavičius, D., Kizinievič, O., & Malaiškienė, J. (2025). Effect of Pozzolanic Additive on Properties and Surface Finish Assessment of Concrete. Buildings, 15(10), 1617. 

  • Summary:
    This study investigates the impact of a pozzolanic additive on concrete’s properties and surface finish. The additive reduced flowability, density, and ultrasonic pulse velocity while increasing entrained air content and reducing porosity. These changes suggest potential benefits for durability and surface quality in concrete applications.

2. Influence of Different Binders on the Municipal Solid Waste Incineration Fly Ash Granulation-Based Stabilization Process

  • Citation:
    Shevtsova, M., Malaiškienė, J., Škamat, J., & Antonovič, V. (2025). Influence of Different Binders on the Municipal Solid Waste Incineration Fly Ash Granulation-Based Stabilization Process. Sustainability, 17(10), 4573.

  • Summary:
    The research evaluates how various binders affect the stabilization of municipal solid waste incineration fly ash (MSWI FA). Findings indicate that while cement-based solidification/stabilization techniques can immobilize heavy metals, they are less effective in reducing the mobility of chlorides and sulfates. Pre-treatment washing is recommended to enhance ash stability for potential reuse in construction materials.

3. Utilisation of Different Types of Glass Waste as Pozzolanic Additive or Aggregate in Construction Materials

  • Citation:
    Bekerė, K., & Malaiškienė, J. (2025). Utilisation of Different Types of Glass Waste as Pozzolanic Additive or Aggregate in Construction Materials. Processes, 13(5), 1613.

  • Summary:
    This article explores the potential of using glass waste as a fine or coarse aggregate in concrete or mortar mixtures, replacing traditional materials like sand and gravel. The study highlights the environmental benefits, including reduced CO₂ emissions during clinker manufacturing, by incorporating dispersed glass into blended cements.

4. An Analysis of a Cement Hydration Process Using Glass Waste from Household Appliances as a Supplementary Material

  • Citation:
    Bekerė, K., Malaiškienė, J., & Škamat, J. (2025). An Analysis of a Cement Hydration Process Using Glass Waste from Household Appliances as a Supplementary Material. Processes, 13(3), 840.

  • Summary:
    The study examines the feasibility of using glass waste from household appliances as a supplementary material in cement-based products. It analyzes the chemical and mineral compositions, particle morphology, and size distribution of the glass waste, assessing its suitability as a replacement additive in cement hydration processes.

5. Influence of Pozzolanic Additives on the Structure and Properties of Ultra-High-Performance Concrete

  • Citation:
    Malaiškienė, J., & Jakubovskis, R. (2025). Influence of Pozzolanic Additives on the Structure and Properties of Ultra-High-Performance Concrete. Materials, 18(6), 1304.

  • Summary:
    This paper explores the structural changes and performance improvements in ultra-high-performance concrete (UHPC) when pozzolanic additives are incorporated. The study confirms enhancements in strength, density, and durability due to the pozzolanic reaction and refined microstructure, suggesting viable applications in high-demand structural elements.

🔹Conclusion:

Dr. Jurgita Malaiškienė’s distinguished career, scientific rigor, and meaningful contributions to sustainable material science make her a highly deserving nominee for the Best Researcher Award. Her work not only advances engineering knowledge but also delivers tangible benefits to society and the environment—embodying the spirit of this prestigious recognition.

Mr.Pezhman Raeisian Parvari | Augmented reality | Best Researcher Award

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Pezhman Raeisian Parvari | Augmented reality | Best Researcher Award

Pezhman Raeisian Parvari, Indiana University Bloomington, United States

Pezhman Raeisian Parvari is a seasoned UX/UI Designer and Architect with over 15 years of experience in design and research. He holds a Master’s in Human-Computer Interaction from SUNY College at Oswego and is skilled in UX design, augmented reality, 3D modeling, and user-centered methodologies. With expertise in tools like Figma, Adobe Aero, and Unity, Pezhman specializes in creating immersive digital experiences. He has a passion for blending design strategy and research to improve user interactions and experience, making complex systems intuitive and engaging. 🖥️🎨✨

Professional profile :

Google Scholar

Suitability for Best Researcher Award :

Pezhman Raeisian Parvari demonstrates exceptional interdisciplinary research and innovation across UX/UI design, Human-Computer Interaction (HCI), and immersive technologies such as Augmented and Virtual Reality. With over 15 years of professional and academic experience, he has significantly contributed to user-centered research across healthcare, cultural heritage, and digital interface design. His Master’s degree in HCI from SUNY Oswego and extensive hands-on roles—as UX researcher, AR/VR developer, and UI/UX designer—highlight a blend of academic rigor and applied research.

Education :

  • SUNY College at Oswego, Oswego, NY

    • Master of Arts in Human-Computer Interaction (Expected May 2024) 🎓

    • GPA: 3.96/4.0

    • Sigma Xi Award Recipient 2024 🏆

    • Treasurer, HCI Club (Sep 2023–May 2024)

  • Tehran University, Tehran, Iran

    • Master of Arts, Landscape Architecture (2010) 🌿

  • Sooreh Higher Education Institute, Tehran, Iran

    • Bachelor of Arts, Architecture (2005) 🏛️

  • Zanjan Azad University, Zanjan, Iran

    • Associate Degree in Architecture (2002) 🏗️

Professional Development :

Pezhman is committed to continuous professional growth, earning over 30 certifications in areas such as augmented reality, 3D modeling, wireframing, prototyping, and data analysis. He is well-versed in tools like Figma, 3D Max, Unity, and Adobe Suite, among others. His design expertise includes Interaction Design, AR experiences, User-Centered Design, Usability Testing, and Prototyping. Pezhman actively seeks innovative solutions to enhance user experience, often collaborating with cross-functional teams to refine digital interfaces and improve overall interaction flow. His dedication to learning and applying cutting-edge technology positions him as an expert in his field. 📚💡🚀

Research Focus :

Pezhman’s research centers on enhancing human-computer interaction through immersive design techniques, particularly in augmented reality (AR). He explores how user behavior and interaction patterns can be leveraged to create intuitive and engaging digital experiences. His focus also includes user-centered design methodologies, ensuring that technology solutions are accessible and meet user needs effectively. Pezhman is passionate about the intersection of architecture, design, and technology, aiming to push the boundaries of digital experiences in spatial design and interactive environments. His work merges creative design strategies with rigorous research to innovate and elevate UX/UI design. 💻🔍🌍

Awards and Honors :

  • Sigma Xi Award for excellent presentation research (2024) 🏅

  • Treasurer, Human-Computer Interaction (HCI) Club at SUNY Oswego (2023–2024) 💼

  • Over 30 Certifications in augmented reality, 3D modeling, prototyping, and more 🎓

Publication Top Notes : 

1. Building a taxonomy of evidence-based medical eXtended Reality (MXR) applications: towards identifying best practices for design innovation and global collaboration
2. ZENZONE: Practice Lifeskills in VR Game for Individuals with ADHD

  • Authors: Pezhman Raeisian Parvari, Jolanda G. Tromp

  • Publication Details: Specific publication details for this work are not readily available in the provided sources.sciexplor.com

3. “SWSS” – Student Wellness Screening Service

  • Authors: J. Lee, B. Silva, S. Sperrazza, M. Hammad, J. Keel, Pezhman Raeisian Parvari

  • Publication Details: Specific publication details for this work are not readily available in the provided sources.

Conclusion:

Pezhman Raeisian Parvari’s sustained commitment to research excellence, his innovative use of AR/VR in HCI, and his impactful, human-centered projects make him a highly deserving recipient of the Best Researcher Award. His profile aligns strongly with the values of research innovation, societal impact, and interdisciplinary excellence that such an award seeks to recognize.

Assoc. Prof. Dr. Hongyan Zhao | Additive manufacturing | Best Researcher Award

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Hongyan Zhao | Additive manufacturing | Best Researcher Award

Hongyan Zhao, Beijing University of Technology, China

Dr. Hongyan Zhao 🎓, an Associate Professor at the School of Mechanical and Energy Engineering, Beijing University of Technology 🏫, specializes in high-frequency welding, additive manufacturing, power supply systems, and power electronics ⚡. With a Ph.D. in Electrical Engineering from Beijing Jiaotong University 🎓, Dr. Zhao has led and contributed to national and enterprise-funded projects 🧪. His research has been widely published in top-tier SCI journals 📚. Passionate about innovative manufacturing and control technologies 🤖, he combines academic excellence with industrial collaboration, driving advancements in welding technology and smart manufacturing systems 🚀.

Professional profile : 

scopus

Summary of suitability :

Dr. Hongyan Zhao is highly suitable for a Best Researcher Award. His impressive academic background, specialized expertise, strong publication record, and leadership in high-impact projects demonstrate the qualities expected of an award-winning researcher. His commitment to both fundamental research and practical industry applications places him at the forefront of innovation in mechanical, energy, and electrical engineering fields.

Education and Experience :

  • 🎓 B.S. in Automation – Yanshan University (2006.09 – 2010.06)

  • 🎓 M.S. in Electrical Machines and Apparatus – Yanshan University (2010.09 – 2013.06)

  • 🎓 Ph.D. in Electrical Engineering – Beijing Jiaotong University (2013.09 – 2019.01)

  • 🔬 Postdoctoral Researcher – Beijing Jiaotong University (2019.06 – 2021.07)

  • 👨‍🏫 Associate Professor – Beijing University of Technology (current)

Professional Development :

Dr. Hongyan Zhao 🚀 has been deeply involved in professional development through leading major national projects and enterprise collaborations 📈. He secured funding from the National Natural Science Foundation of China 🎯 and contributed significantly to large-scale national R&D programs, particularly in advanced welding technologies and additive manufacturing 🛠️. His engagement with projects like ultra-high frequency pulse arc welding for deep-water environments 🌊 and flexible manufacturing systems for spacecraft structures 🚀 highlights his drive to solve real-world industrial challenges. Through active research, teaching, and innovation 🔥, Dr. Zhao continually pushes the boundaries of smart manufacturing and electrical engineering 🌟.

Research Focus Category :

Dr. Hongyan Zhao’s 🧠 research focuses on Advanced Manufacturing and Welding Technology 🔥, especially in the fields of high-frequency welding, multi-electrode arc behavior, and additive manufacturing processes 🛠️. His expertise extends to the development of power electronics and high-efficiency power transmission systems ⚡. With a multidisciplinary approach combining thermal, electrical, and mechanical dynamics 🌐, Dr. Zhao aims to revolutionize industrial welding and smart production techniques 🤖. His work contributes to both fundamental research and practical engineering applications, impacting industries such as aerospace 🚀, energy 🌱, and deep-water construction 🏗️ through technological innovation and new control strategies 🎯.

Awards and Honors :

  • 🏅 First Author and Corresponding Author in multiple SCI Q1 TOP journals

  • 🏆 Leader of Enterprise-funded Research Projects (Variable Polarity Plasma Arc Welding System)

  • 📚 Core Member of National Key R&D Programs and Major Science Projects

  • 🎖️ Recipient of Youth Project Funding from the National Natural Science Foundation of China

  • 🏅 Recognized for Contributions to National Spacecraft Manufacturing Equipment Projects

Publication Top Notes :

Morphology and energy distribution characteristics of ultra-high frequency adjustable multi-pulse GTAW arc

 

 

Dr. XInbo MA | Machine Learning | Best Researcher Award

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Dr. XInbo MA | Machine Learning | Best Researcher Award

Dr. XInbo MA, Northeastern University, China

​

Ma Xinbo is a prominent figure in the field of geotechnical engineering, currently serving as an Associate Professor at the College of Resources and Civil Engineering, Northeastern University, Shenyang, China. His scholarly pursuits focus on the intelligent detection of internal fractures in mine rock masses, utilizing advanced imaging techniques to enhance the safety and efficiency of mining operations.

Profile:

Scopus​

Education:

Professor Ma earned his Ph.D. in Geotechnical Engineering from Northeastern University, Shenyang, China, in 2010. His doctoral research laid the foundation for his ongoing commitment to advancing mining safety through technological innovation.​

Experience:

Throughout his career, Professor Ma has held several academic and research positions. Prior to his current role, he served as a Lecturer and then as an Associate Professor at the same institution. His professional journey reflects a steadfast dedication to both teaching and research in geotechnical engineering.​

Research Interests:

Professor Ma’s research interests are centered around the application of intelligent detection methods in mining engineering. A notable area of his work includes the development of techniques for identifying internal fractures in mine rock masses using borehole camera images. This research aims to improve the understanding of rock mass integrity, which is crucial for the safety and sustainability of mining operations.​

Publications:

Professor Ma Xinbo has contributed to several scholarly publications, including:​

  1. “Abcb1 is Involved in the Efflux of Trivalent Inorganic Arsenic from Brain Microvascular Endothelial Cells” by Man Lv, Ziqiao Guan, Jia Cui, Xinbo Ma, Kunyu Zhang, Xinhua Shao, Meichen Zhang, Yanhui Gao, Yanmei Yang, Xiaona Liu. This study explores the role of Abcb1 in mediating arsenic efflux in brain microvascular endothelial cells. Published in 2024. ​
  2. “Liberal Arts in China’s Modern Universities: Lessons from the Great Catholic Educator and Statesman, Ma Xiangbo” by You Guo Jiang. This article discusses the contributions of Ma Xiangbo to liberal arts education in modern China. Published in Frontiers of Education in China, Volume 7, Issue 3, in 2012. ​
  3. “Catholic Intellectuals in Modern China and Their Bible Translation: Li Wenyu and Ma Xiangbo” by Xiaochun Hong. This paper examines the roles of Li Wenyu and Ma Xiangbo in Bible translation efforts in modern China. Published in the Journal of the Royal Asiatic Society, Volume 33, Issue 2, in 2023.

Awards and Recognitions:

Professor Ma’s excellence in research and academia has been acknowledged through various awards and honors. In 2016, he was honored as an Outstanding Graduate of Dalian Maritime University, reflecting his early commitment to academic excellence. He also received the National Scholarship, awarded to the top 0.2% of students by China’s Ministry of Education, in both 2013 and 2016. These accolades highlight his dedication to his field and his institution.​

Conclusion:

Professor Ma Xinbo’s academic journey and research endeavors underscore his pivotal role in advancing geotechnical engineering, particularly in the realm of mining safety. His innovative approaches to fracture detection and his commitment to scholarly excellence make him a valuable asset to the academic community and a strong candidate for the “Best Researcher Award.”

Dr. Abdulrahman Alnaim | Technology | Excellence in Research Award

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Dr. Abdulrahman Alnaim | Technology | Excellence in Research Award

Dr. Abdulrahman Alnaim | Technology – Associate Professor at King Faisal University, Saudi Arabia

Dr. Abdulrahman Khalid Alnaim is an accomplished academic and researcher specializing in computer science and information security. With a strong foundation in computer information systems and management information systems, he has dedicated his career to advancing research in emerging technologies such as cybersecurity, cloud computing, and network architecture. His work is characterized by innovative approaches to securing next-generation networks and optimizing system performance, reflecting a commitment to both academic excellence and practical applications in the tech industry.

Profile:

Google Scholar

Education:

Dr. Alnaim earned his Ph.D. in Computer Science from Florida Atlantic University, USA, where he focused on developing secure and efficient computing models. He also holds a Master’s in Management Information Systems from Nova Southeastern University, USA, which enriched his understanding of integrating technology with business strategies. His academic journey began at King Faisal University, Saudi Arabia, where he completed his Bachelor’s degree in Computer Information Systems, laying the groundwork for his passion for research and technology. This diverse educational background has enabled him to approach complex problems with a multidisciplinary perspective.

Experience:

Dr. Alnaim has served at King Faisal University, Saudi Arabia, in various academic roles. Starting as a Teacher Assistant in 2012, he quickly advanced to become a Lecturer and later an Assistant Professor in the Management Information Systems Department within the School of Business. Throughout his tenure, he has contributed significantly to curriculum development, academic research, and student mentorship. His professional journey reflects a consistent commitment to fostering an environment of academic growth, research innovation, and knowledge dissemination.

Research Interests:

Dr. Alnaim’s research interests lie in the domains of cloud technologies, cybersecurity, and network architecture, with a particular focus on emerging trends like 5G/6G networks, network function virtualization (NFV), and edge computing. His work explores the development of robust security frameworks, optimized resource management strategies, and innovative architectures for next-generation networks. His research not only addresses theoretical challenges but also provides practical solutions for enhancing cybersecurity, system efficiency, and data integrity in complex digital environments.

Awards:

While Dr. Alnaim’s distinguished academic career is marked by numerous achievements, his contributions to research have earned him recognition within the academic community. His work has been cited extensively, reflecting its influence on contemporary studies in cybersecurity and network technologies. His dedication to research excellence is evident through his continuous pursuit of knowledge, innovative problem-solving, and commitment to advancing the field of computer science.

Publications 📚:

  1. “Zero Trust Strategies for Cyber-Physical Systems in 6G Networks” (2025) – Mathematics
    This paper discusses advanced security models tailored for cyber-physical systems in 6G environments. 🚀

  2. “Securing 5G Virtual Networks: A Critical Analysis of SDN, NFV, and Network Slicing Security” (2024) – International Journal of Information Security
    The article provides an in-depth analysis of security vulnerabilities and countermeasures in 5G networks. 🔐

  3. “Trust Management and Resource Optimization in Edge and Fog Computing Using the CyberGuard Framework” (2024) – Sensors
    This research introduces the CyberGuard framework for enhancing trust management in edge and fog computing environments. 🌐

  4. “Network Slicing in 6G: A Strategic Framework for IoT in Smart Cities” (2024) – Sensors
    A strategic approach to optimizing network slicing for IoT applications in smart cities. 🏙️

  5. “Classification of Alzheimer’s Disease Using MRI Data Based on Deep Learning Techniques” (2024) – Journal of King Saud University – Computer and Information Sciences
    This study leverages deep learning models to improve the early detection of Alzheimer’s disease using MRI data. 🧠

  6. “Machine-Learning-Based IoT–Edge Computing Healthcare Solutions” (2023) – Electronics
    Focuses on integrating machine learning with IoT and edge computing to enhance healthcare services. 💡

  7. “A Misuse Pattern for Modifying Non-Control Threats in NFV” (2022) – Future Internet
    Proposes a model to identify and mitigate non-control threats in network function virtualization environments. 🖥️

These publications have collectively garnered significant citations, underscoring their impact on academic research and industry practices. 📈

Conclusion:

Dr. Abdulrahman Khalid Alnaim exemplifies the qualities of an outstanding researcher, with a robust academic background, extensive research contributions, and a commitment to advancing the field of computer science and information security. His work in cybersecurity, cloud technologies, and network architecture has not only enriched academic discourse but also provided practical solutions to real-world challenges.

His innovative approach, combined with a strong publication record and active involvement in academic and research communities, makes him a deserving candidate for the Excellence in Research Award. Dr. Alnaim’s contributions reflect the values of academic rigor, intellectual curiosity, and a relentless pursuit of knowledge that this prestigious award seeks to honor.

Dr. Tanushree Bhattacharjee | Emerging Technologies | Best Researcher Award

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Dr. Tanushree Bhattacharjee | Emerging Technologies | Best Researcher Award

Dr. Tanushree Bhattacharjee, GRIDsentry Private Limited, India

Dr. Tanushree Bhattacharjee is a distinguished cybersecurity expert specializing in substation automation, OT security, and intrusion detection systems (IDS). With a Ph.D. in Electrical Engineering from Jamia Millia Islamia, she has over seven years of experience securing critical infrastructure. As Sr. R&D Manager at GRIDsentry Pvt. Ltd., Bengaluru, she leads cutting-edge research in forensic analysis, deep packet inspection, and AI-powered threat modeling. Dr. Bhattacharjee has played a vital role in national and international cybersecurity testbeds, contributing to the advancement of IEC 61850, power grid security, and microgrid protection. Her expertise in AI/ML-based anomaly detection ensures the resilience of modern power systems. 🔐⚡

🌍 Professional Profile:

Google Scholar

Orcid

Scopus

🏆 Suitability for the Best Researcher Award 

Dr. Tanushree Bhattacharjee is an outstanding candidate for the Best Researcher Award, given her pioneering work in substation automation security and digital transformation. She has made significant contributions to intrusion detection, vulnerability assessment, and OT security in power grids. Her leadership in developing IDS/IPS solutions, coupled with her expertise in AI-powered anomaly detection, positions her as a key innovator in cyber-physical security. With a strong background in threat modeling, forensic analysis, and protocol security, her research directly impacts critical infrastructure protection. Her proven ability to bridge AI with cybersecurity makes her a deserving nominee for this prestigious recognition. 🏆🔍

🎓 Education

Dr. Tanushree Bhattacharjee holds a Ph.D. in Electrical Engineering from Jamia Millia Islamia, New Delhi (2017-2022), where she focused on substation automation and microgrid protection. She completed her Master’s in Power Systems at the Indian Institute of Engineering Science & Technology, Shibpur (2012-2014). Her academic work involved IEC 61850 protocols, cybersecurity in digital substations, and AI-driven security frameworks. Through hands-on research in power system modeling, microgrid security, and forensic analysis, she has contributed to cybersecurity innovations in critical infrastructure. Her education has provided a robust foundation for her advancements in intrusion detection and digital protection strategies. 🎓⚡🔬

💼 Experience 

As Sr. R&D Manager at GRIDsentry Pvt. Ltd., Bengaluru, Dr. Bhattacharjee leads research on intrusion detection systems (IDS), AI-driven threat modeling, and forensic analysis. Previously, as a Product Manager, she specialized in deep packet inspection and anomaly detection. She also worked as a Power System Security Engineer, focusing on IPS/IDS development and OT cybersecurity. Her tenure at Jamia Millia Islamia involved substation automation, protocol security, and microgrid testing. With expertise in vulnerability assessments, access control, and live cybersecurity testing, she has significantly contributed to the security of modern power infrastructures. 🔒💡🚀

🏅 Awards & Honors 

Dr. Bhattacharjee has received multiple accolades for her contributions to power system cybersecurity. She has been recognized for her outstanding research in IDS and AI-driven security mechanisms. Her work on IEC 61850-based intrusion detection won Best Paper Awards at leading cybersecurity conferences. She has been acknowledged by cybersecurity organizations for her role in developing AI-based threat detection tools. Additionally, she has contributed to national security projects, earning commendation from government agencies and industry leaders. Her expertise in forensic analysis, digital substation security, and OT cybersecurity has positioned her as a trailblazer in the field. 🏆🔍⚡

🔬 Research Focus

Dr. Bhattacharjee’s research integrates emerging technologies with cybersecurity, focusing on power system protection, IEC 61850 protocols, and digital substation automation. Her expertise includes intrusion detection, AI-based anomaly detection, and forensic security analysis. She explores cyber-physical system security, ensuring resilience against DDoS, MITM, and replay attacks. Her work in deep learning for security event detection enhances smart grid protection. She also specializes in protocol security, AI-driven attack mitigation, and operational technology (OT) cybersecurity. Through machine learning, threat modeling, and real-time testing, her research aims to fortify modern power infrastructures against evolving cyber threats. 🛰️🔐⚙️

📖 Publication Top Notes

  1. Hardware Development and Interoperability Testing of a Multivendor-IEC-61850-Based Digital Substation
    • Citations: 11
    • Year: 2022
  2. Planning of Renewable DGs for Distribution Network Considering Load Model: A Multi-Objective Approach
    • Citations: 9
    • Year: 2014
  1. Designing a Controller Circuit for Three-Phase Inverter in PV Application
    • Citations: 6
    • Year: 2018
  2. Digital Substations with the IEC 61850 Standard
    • Citations: 3
    • Year: 2021
  3. Power Quality Improvement of Grid Integrated Distributed Energy Resource Inverter
    • Citations: 2
    • Year: 2021

 

Dr. Tong Sun | Photodiode | Best Researcher Award

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Dr. Tong Sun | Photodiode | Best Researcher Award

Dr. Tong Sun, Beijing University of Posts and Telecommunications, China

Dr. Tong Sun is a dedicated researcher specializing in photodiode technology, infrared detection, and semiconductor materials. He is currently affiliated with Beijing University of Posts and Telecommunications (BUPT), where he focuses on avalanche photodiodes, superlattice structures, and infrared detector optimization. His work involves cutting-edge advancements in high-performance infrared sensors, photonic devices, and optoelectronics. Dr. Sun has contributed to multiple national and provincial research projects and has authored several high-impact publications. He has also secured patents in avalanche photodiodes and has been recognized with multiple awards for his innovative research contributions.

🌍 Professional Profile:

Scopus

🏆 Suitability for Best Researcher Award

Dr. Tong Sun is an exceptional candidate for the Best Researcher Award due to his outstanding contributions to photodiode research and infrared detection technology. His pioneering work on avalanche photodiodes and superlattice structures has been recognized with high-impact publications, national research grants, and prestigious patents. His research has led to significant advancements in optoelectronics, particularly in improving infrared sensing performance. Furthermore, his role as a principal investigator in multiple projects, combined with accolades in national competitions, demonstrates his leadership and innovation in the field. His work has a profound impact on next-generation photonic technologies.

🎓 Education

Dr. Tong Sun is currently pursuing his research at Beijing University of Posts and Telecommunications (BUPT), specializing in Electronic Science and Technology. His academic journey has been shaped by rigorous training in optoelectronics, semiconductor physics, and infrared detection technologies. His education has provided him with deep expertise in the design, modeling, and simulation of advanced photonic and electronic devices. Throughout his studies, he has actively engaged in interdisciplinary projects, blending theoretical knowledge with experimental research. His academic excellence has been recognized through competitive research funding, leading to his leadership in multiple high-impact research projects.

👨‍🔬 Experience

Dr. Tong Sun has been actively involved in multiple national and provincial-level research projects, focusing on photodiode advancements and infrared detection. His contributions include designing multi-stage avalanche photodiodes, constructing infrared material models, and optimizing wide-angle spectral detection technologies. His research experience spans across institutions such as the China Ordnance Industry Corporation Key Laboratory, National Key R&D Programs, and the National Infrared Detection Laboratory. He has also served as the principal investigator for a graduate innovation and entrepreneurship project, leading research on high-temperature photodetectors. His expertise in semiconductor device modeling and photonic design has positioned him as a leading researcher in the field.

🏅 Awards & Honors

  • 🏆 Second Prize in the 2024 San’an Innovation Competition
  • 📜 Invited Speaker at China Materials Conference 2024 & World Materials Conference
  • 🔬 Cover Article in Laser Technology, featured in the Science Journal Bilingual Communication Project
  • 🎖️ Second Prize in Graduate Innovation and Entrepreneurship Project
  • 📄 Reviewer for International Optics & Photonics Conference (IACOP 2024)
  • 🎙️ Company Representative Speaker at the 8th National College IC Innovation & Entrepreneurship Competition (North China Division)
  • 🎓 Outstanding Class Leader Award (University Level)

🔍 Research Focus

Dr. Tong Sun’s research primarily revolves around photodiodes, infrared detectors, and optoelectronic device optimization. His expertise includes designing multi-stage avalanche photodetectors, modeling superlattice infrared sensors, and optimizing high-performance infrared detection technologies. His work leverages k·p method simulations for device modeling, focusing on dark current suppression and high-sensitivity photodetection. He also explores high-temperature photodetectors and mid-wave infrared materials, aiming to improve wide-angle spectral tuning and noise reduction in infrared sensors. His research directly impacts the development of next-generation infrared imaging and photonic devices for defense, aerospace, and industrial applications.

📊 Publication Top note:

Material Structure Design of High-Gain and Low-Noise Multi-Gain-Stage Avalanche Photodiode

 

 

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

 

 

Shinder Kaur | Computer Science | Excellence in Research

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Shinder Kaur | Computer Science | Excellence in Research

Ms. Shinder Kaur, Swami Swatantranand Memorial College, India.

Shinder Kaur is a passionate academic and Assistant Professor in the Department of Computer Science & Engineering at Swami Swatantranand Memorial College, Punjab. Currently pursuing a Ph.D. in Computer Science & Engineering at GNDU, Amritsar, she is dedicated to fostering student development and contributing to the field of technology. With expertise in web languages, databases, and operating systems, Shinder has a strong foundation in technical education. Her focus is on nurturing future professionals and advancing research in computer science. 📚💻👩‍🏫

Publication Profile 

Googlescholar

Education And Experiance

  • Ph.D. Pursuing in Computer Science & Engineering at GNDU, Amritsar 🎓
  • UGC-NET Qualified in December 2018 🏅
  • Master’s of Computer Science (2014-2016) from GNDU 💻
  • Bachelor of Computer Applications (2011-2014) from GNDU 📱
  • Assistant Professor at Swami Swatantranand Memorial College, Dinanagar, Punjab (July 2019 – Present) 👩‍🏫

Suitability For the Award

Ms. Shinder Kaur is a dedicated researcher and Assistant Professor in Computer Science & Engineering, currently pursuing a Ph.D. at GNDU, Amritsar. With a strong foundation in web development, databases, and operating systems, she has demonstrated her technical expertise through various projects, including a Hostel Management System and Glorious Home. UGC-NET qualified, Shinder’s commitment to advancing research in computer science, combined with her academic experience and practical application of technology, makes her a strong candidate for the Excellence in Research award.

Professional Development

Shinder Kaur has demonstrated a strong commitment to her professional development by continuously enhancing her technical skills in web languages such as C, C++, VB 6.0, ASP.NET, HTML, and CSS. She is proficient in database management with SQL and has a deep understanding of operating systems, including Windows and Linux. Throughout her academic career, Shinder has developed key projects like the “Hostel Management System” and “Glorious Home.” She actively contributes to the academic environment by mentoring students, organizing data, and ensuring smooth academic operations. 💡📈👩‍💻

Research Focus

Shinder Kaur’s research focus lies in the realm of Computer Science & Engineering, specifically in areas such as web development, database management, and system optimization. Her work is centered on improving technology integration in education and streamlining management systems. Shinder is passionate about exploring the potential of technology in enhancing the efficiency of academic and administrative processes, aiming to develop innovative solutions that benefit both students and institutions. 💻🔍📊

Awards And Honors

  • UGC-NET Qualified in December 2018 🏅
  • Best Project Award for “Hostel Management System” during Master’s degree 🎖️
  • Academic Excellence Award for outstanding performance during Bachelor’s degree 🏆
  • Faculty Development Program certificate in advanced teaching methods 📜
  • Recognized for Best Faculty Contribution at Swami Swatantranand Memorial College 🎓

Publication Top Notes 

  • Performance Analysis of Diverse Mobility Speeds on MANET Routing Protocols –  2023 📘
  • Comparative Analysis of Low and High Scalable VANET in terms of Receive Rate, Packets Received, MAC/PHY Overhead and Average Goodput – 2023 📚

Prof. Yiyang Ni | Next-Gen Comms | Best Researcher Award

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Prof. Yiyang Ni | Next-Gen Comms | Best Researcher Award

Prof. Yiyang Ni, Jiangsu Second Normal University, China

Prof.  Ni Yiyang is the Vice Dean of the School of Computer Engineering at Jiangsu Second Normal University. A member of the Communist Party of China, she completed her Ph.D. in Communication and Information Systems at Nanjing University of Posts and Telecommunications in April 2016. Yiyang is recognized for her contributions to intelligent communication and resource allocation in the Internet of Vehicles. With extensive academic involvement, she has also served as a postdoctoral researcher and lecturer, making significant strides in her field through various research projects and publications.

Professional Profile

Google Scholar

Suitability of Prof. Yiyang Ni for the Research for Best Researcher Award

Prof. Yiyang Ni is a distinguished female researcher in the field of communication engineering, whose contributions significantly align with the objectives of the Research for Best Researcher Awards. Her academic background, robust research agenda, and leadership roles position her as an exemplary candidate for this honor.

Education 

Prof. Yiyang Ni’s academic journey began at Nanjing University of Posts and Telecommunications, where she earned her Bachelor’s Degree in Communication Engineering in June 2008. She continued her studies at the same institution, pursuing a Master-Doctoral Program in Communication and Information Systems. Under the mentorship of Advisor Zhang Naitong, she successfully obtained her Ph.D. in April 2016. Her education laid a robust foundation for her future research endeavors, particularly in intelligent communication technologies.

Experience 

Prof. Yiyang Ni has accumulated diverse teaching and research experiences since 2008. She started as a Teaching Assistant at Nanjing University, progressing to Lecturer and Associate Professor roles at Jiangsu Second Normal University from April 2016 to May 2022. Currently, as Vice Dean, she plays a pivotal role in the School of Computer Engineering. Additionally, since January 2019, she has been involved in postdoctoral research, focusing on innovative communication systems and leading several significant research projects in her field.

Awards and Honors 

Prof. Yiyang Ni has received numerous accolades throughout her career, reflecting her exceptional contributions to the field of communication. Notable awards include the Second Prize for her IoT Intelligent Management System at the China Communication Society’s Science and Technology Award (2021) and the First Prize at the Jiangsu Information and Communication Industry Science and Technology Award (2021). Her innovative projects have garnered recognition, including the Second Prize for Key Technologies in Edge Networks from the China Institute of Electronics in 2021.

Research Focus 

Prof. Yiyang Ni’s research interests lie at the intersection of intelligent communication, wireless communication, and resource allocation within the Internet of Vehicles. She leads various ongoing projects aimed at developing cutting-edge communication technologies, including the integration of industrial Internet systems and the study of intelligent wireless communication theories for future networks. Her contributions to terahertz communication and device-to-device technologies are particularly noteworthy, advancing the understanding and application of these crucial areas in modern communication systems.

Publiaction Top Notes

  1. Title: Blockchain for the IoT and industrial IoT: A review
    Citation: 415
  2. Title: Beamforming and interference cancellation for D2D communication underlaying cellular networks
    Citation: 56
  3. Title: Performance Analysis for RIS-Assisted D2D Communication Under Nakagami-Fading
    Citation: 44
  4. Title: Energy efficiency and spectrum efficiency in underlay device-to-device communications enabled cellular networks
    Citation: 40
  5. Title: Weighted adaptive KNN algorithm with historical information fusion for fingerprint positioning
    Citation: 31