Mr. GEORGIOS ADAM | Digital Transformation | Industry Impact Award

Published on by Network Awards

GEORGIOS ADAM | Digital Transformation | Industry Impact Award

GEORGIOS ADAM, University of Piraeus, Greece

Adam Georgios 🎓 is a Ph.D. candidate in Business Administration at the University of Piraeus and a seasoned expert in digital and shopper marketing. With a strong academic foundation in economic strategy and regional development, he currently serves as Digital Transformation Manager at Sarantis Group 🚀. Adam has steadily advanced through roles in marketing and business analysis, reflecting a deep understanding of consumer behavior and strategic implementation. His academic contributions include research on digital transformation in retail 🛒. Outside of work, Adam enjoys music 🎶 and free diving 🌊, showcasing a balanced blend of analytical rigor and creative passion.

Professional profile :

Google Scholar

Suitability for Best Researcher Award :

Adam Georgios is a Ph.D. candidate in Business Administration with a focused research interest in digital transformation in retail, a domain highly relevant in today’s rapidly evolving business landscape. His dual role as an academic researcher and industry professional (Digital Transformation Manager at Sarantis Group) gives him a unique advantage in producing applied, impactful research. He effectively bridges theoretical frameworks with real-world applications, contributing to both scholarly knowledge and practical innovation.

Education & Experience :

🎓 Education :

  • 📘 Ph.D. Candidate, Business Administration – University of Piraeus (2022–Present)

  • 🎓 MSc, Economic and Business Strategy – University of Piraeus (2014–2016, Distinction)

  • 🏛️ BSc, Economic and Regional Development – Panteion University (2006–2010)

💼 Professional Experience :

  • 📍 Digital Transformation Manager – Sarantis Group (2023–Present)

  • 🛍️ Shopper Marketing Manager – Sarantis Group (2019–2023)

  • 🛒 Shopper Marketing Assistant – Sarantis Group (2016–2019)

  • 📊 Business Analyst – WIND Hellas (2015–2016)

  • 🗂️ Executive Assistant – BRINKS HELLAS (2013–2014)

  • 🧾 Cashier Sales Associate – HLEKTRONIKH (2012)

  • 🧸 Sales Representative & Merchandiser – JUMBO (2011–2012)

Professional Development :

Adam Georgios continually enhances his expertise through targeted training and professional development 📚. He has completed seminars in shopper-centric category management 🛍️, financial services 💰, and governance in economic performance 📈. His proficiency spans various tools including SAP, SPSS Modeler, and Nielsen databases, equipping him with advanced data analysis and ERP skills 💻. Adam also holds a Certificate of English Language Proficiency 🇬🇧. His tech-savviness and commitment to lifelong learning make him a strong asset in digital innovation initiatives 🌐. These efforts reflect his drive to lead transformative projects with both strategic depth and operational agility ⚙️.

Research Focus :

Adam Georgios focuses his research on Digital Transformation Strategies within the Retail Value Chain 🛒💡. His doctoral work and publications explore how companies can effectively integrate technology to enhance performance, customer experience, and competitive advantage. Adam investigates models that align digital tools with business objectives, considering factors like consumer trends, innovation adoption, and cost differentiation 📊. His MSc dissertation analyzed best-cost and differentiation strategies of leading Greek retailers 🏪. Through his academic and industry experience, he bridges the gap between theory and real-world application, contributing valuable insights to the evolving digital commerce ecosystem 🌍📱.

Awards & Honors :

  • 🏆 MSc Degree with Distinction – University of Piraeus

  • 🏅 Ph.D. Candidature Awarded – Department of Business Administration, University of Piraeus

Publication Top Notes : 

Title: Strategies for Shaping and Implementing Digital Transformation in the Retail Value Chain

Citation (APA Style):
Adam, G., & Kopanaki, E. (2025). Strategies for Shaping and Implementing Digital Transformation in the Retail Value Chain. Procedia Computer Science, 256, 504–512.

Conclusion :

While Adam is still in the doctoral phase of his academic journey, his track record of research aligned with high-impact industry practices, combined with a clear focus on digital transformation, makes him a strong contender for the Best Researcher Award—particularly within emerging researcher or industry-focused research categories. With continued publication and academic engagement, he is well-positioned to become a leading figure in business research.

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

Published on by Network Awards

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.

Mr. Murali M | Cloud Computing | Best Researcher Award

Published on by Network Awards

Mr. Murali M | Cloud Computing | Best Researcher Award

Mr. Murali M, Sona College of Technology, India

Mr. Murali M is an accomplished academic with over 14 years of experience in Information Technology education and research. He earned his B.E. in Computer Science and Engineering (2007) and M.E. in Pervasive Computing Technologies (2010) from Anna University. Currently pursuing a Ph.D. at Anna University, Chennai, he serves as Assistant Professor at Sona College of Technology, Salem. Mr. Murali’s expertise spans Robotic Process Automation, Cloud Computing, HCI, and Software Engineering. His dedication to both research and education is reflected in numerous certifications, a published patent, and societal contributions such as mentoring the Tamil Nadu Police-recognized “Migrant Care” app. A recognized reviewer and ISO auditor, he continues to shape academic excellence through continuous innovation and mentorship. 🌐🎓🔬

🌍 Professional Profile

Google Scholar

Orcid

Scopus

🏆 Suitability for Best Researcher Award

Mr. Murali M exemplifies the spirit of innovation and impactful research. His pioneering contribution to developing an AI-enabled intelligent logistics system, recognized with a published patent, reflects his commitment to applied research that solves real-world problems. As an educator and researcher, his interdisciplinary focus—ranging from RPA and cloud computing to wireless sensor networks and HCI—positions him as a thought leader. Beyond academia, his guidance of the award-winning “Migrant Care” app, acknowledged by Tamil Nadu Police, highlights his societal impact. As a reviewer for international journals and an ISO-certified auditor, Mr. Murali maintains high academic and operational standards. His dedication, innovation, and real-world application of research make him a standout candidate for the Best Researcher Award. 🏅📘💡

🎓 Education

Mr. Murali M’s academic foundation is rooted in excellence and innovation. He obtained his B.E. in Computer Science and Engineering from Anna University, Chennai in 2007, followed by an M.E. in Pervasive Computing Technologies from Anna University, Trichy in 2010. Currently, he is pursuing his Ph.D. in Computer Science from Anna University, Chennai, focusing on intelligent systems and automation. His academic path reflects a progressive alignment with emerging technologies, particularly in areas such as AI, cloud computing, and software systems. His rigorous academic training has been instrumental in shaping his research trajectory and commitment to impactful innovation, both in academia and industry. 🧠📚🖥️

👨‍💼 Experience

With over 14 years in academia, Mr. Murali M has consistently contributed to Information Technology education and research. He began his career as a Web Designer at Admire Solutions, Erode (2007–2008), transitioning into academia as a Lecturer at Sona College of Technology, Salem (2010–2011), where he now serves as Assistant Professor since December 2011. His teaching, mentoring, and administrative roles reflect a commitment to academic excellence and institutional development. Notably, he is an ISO core team member, contributing to internal audits and quality systems. His blend of industry experience and academic rigor ensures a practice-based, research-driven learning environment for his students. 💼👨‍🏫📈

🏅 Awards and Honors

Mr. Murali M’s professional journey is marked by multiple accolades and contributions. His standout achievement includes being listed as the fourth inventor on the 2022 patent “AI Enabled Intelligent Logistics System” (Application No. 202241049421). He received formal recognition from the Tamil Nadu Police for mentoring the socially impactful “Migrant Care” app. Murali is also a certified ISO 9001:2015 Internal Auditor and plays a key role as an ISO core team member in his department. His selection as a reviewer for the International Association of Online Engineering journal further highlights his academic credibility. These honors underscore his dual impact—technological and societal—making him a deserving candidate for recognition. 🏅📜🚀

🔍 Research Focus

Mr. Murali M’s research interests encompass several high-impact areas in modern computing. His primary focus areas include Robotic Process Automation (RPA), Wireless Sensor Networks (WSNs), Human-Computer Interaction (HCI), Software Engineering, and Cloud Computing. He is particularly passionate about designing scalable and intelligent systems that improve efficiency and human experience. His interdisciplinary approach bridges technical innovation with social utility, as demonstrated through projects like “Migrant Care” and patented AI logistics systems. Murali’s ongoing Ph.D. research aims to explore advanced automation techniques and adaptive systems using AI and pervasive computing. His work supports future-ready computing solutions that address real-world challenges in enterprise systems, public services, and educational technology. 🤖☁️📶🖱️

📊 Publication Top Notes

  1. A Comprehensive Study on Security Threats in Autonomous Vehicles: Safeguarding the Future

  1. Tribology Interface Over Digital Technologies and Envisaging Tribology with Patent Landscape – A Queer Review

  1. Deep Learning-Based Continuous Glucose Monitoring with Diabetic Prediction Using Deep Spectral Recurrent Neural Network

  2. Detection of Lung Ultrasound Covid-19 Disease Patients Based on Convolution Multifacet Analytics Using Deep Learning

  3. Brain Tumor Detection Using Deep Learning Neural Network for Medical IoT Applications

  4. Analysis of Lung Cancer Detection Based on the Machine Learning Algorithm and IoT

 

 

Dr. Han Wang | Artificial Intelligence | Best Researcher Award

Published on by Network Awards

Dr. Han Wang | Artificial Intelligence | Best Researcher Award

Dr. Han Wang, China Academy of Safety Science and Technology, China

Wang Han is an accomplished engineer and researcher specializing in mechanical engineering, control systems, and predictive maintenance. With a strong academic foundation and a proven track record of innovative research, Wang has made significant contributions to the fields of fault diagnosis, structural health monitoring, and advanced control methodologies. His work reflects a commitment to addressing complex engineering challenges through cutting-edge research and practical applications.

Profile:

Scopus

Education:

Wang Han’s academic journey began at Yanshan University, where he earned his Bachelor’s degree, followed by a Master’s degree from the same institution. His passion for advancing engineering knowledge led him to Beijing University of Chemical Technology, where he completed his Doctorate. This solid academic background has equipped him with a deep understanding of both theoretical principles and practical engineering applications. 🎓

Experience:

Since September 2029, Wang Han has been serving as an engineer at the China Academy of Safety Science and Technology, where he applies his research expertise to develop advanced safety technologies and engineering solutions. His previous academic and research roles have honed his skills in experimental design, data analysis, and innovative problem-solving, positioning him as a leader in his field. 🏗️

Research Interests:

Wang Han’s research interests are diverse, encompassing predictive maintenance, bearing fault diagnosis, control engineering, and advanced modeling techniques. He focuses on developing predictive models using deep learning, improving fault detection methods in mechanical systems, and designing resilient control algorithms for industrial applications. His work contributes to enhancing the reliability and efficiency of critical engineering systems. 🔬

Awards:

While Wang Han’s contributions are primarily recognized through his research publications and patents, his innovative work has significantly impacted engineering practices. His dedication to advancing safety science and technology has been acknowledged within academic and professional circles, showcasing his role as a thought leader in his field. 🏆

Publications:

Wang Han has authored several influential publications in reputable journals, highlighting his expertise in engineering research. Here are some of his key works:

  1. “Research on Two-Dimensional Digital Map Modeling Method Based on UAV Aerial Images” (2025) – Applied Sciences 🌍 (Cited by 18 articles)
  2. “A Predictive Sliding Local Outlier Correction Method with Adaptive State Change Rate Determining for Bearing Remaining Useful Life Estimation” (2022) – Reliability Engineering & System Safety ⚙️ (Cited by 45 articles)
  3. “A Novel Multiscale Deep Health Indicator with Bidirectional LSTM Network for Bearing Performance Degradation Trend Prognosis” (2020) – Shock and Vibration 🚀 (Cited by 37 articles)
  4. “Experimental Research on Predictive Fuzzy PID Control in Atmospheric and Vacuum Distillation Unit” (2020) – Control Engineering 🔍 (Cited by 29 articles)
  5. “Limited Fault Data Augmentation with Compressed Sensing for Bearing Fault Diagnosis” (2023) – IEEE Sensors Journal 📡 (Cited by 33 articles)
  6. “Multiple Time-Frequency Curve Classification for Tacho-Less and Resampling-Less Compound Bearing Fault Detection Under Time-Varying Speed Conditions” (2021) – IEEE Sensors Journal 🛠️ (Cited by 40 articles)
  7. “An Adaptive State Change Rate Determining Method for Bearing Fault Diagnosis” (2021) – Journal of Mechanical Science 🏭 (Cited by 25 articles)

Conclusion:

Wang Han’s academic achievements, innovative research, and contributions to engineering sciences position him as an outstanding candidate for the Best Researcher Award. His work not only advances theoretical knowledge but also translates into practical solutions that enhance the safety, efficiency, and reliability of engineering systems. Through his publications, patents, and engineering contributions, Wang Han continues to inspire the next generation of researchers and practitioners in the field. 🌟

Prof. Pinghui Wu | Technology | Best Researcher Award

Published on by Network Awards

Prof. Pinghui Wu | Technology | Best Researcher Award

Prof. Pinghui Wu | Technology – Division Chief of Scientific Research at Quanzhou Normal University, China

Prof. Wu Pinghui, a distinguished academic from Quanzhou Normal University, has made remarkable contributions to the fields of advanced optics, materials science, and thermal engineering. With a robust portfolio of research, Wu’s work reflects a passion for innovation and scientific exploration, particularly in areas like metamaterials and solar energy technologies. Known for a collaborative approach, Wu has worked with numerous international researchers, driving forward impactful studies that influence both theoretical and applied sciences.

Profile:

Orcid | Scopus | Google Scholar

Education:

Prof. Wu Pinghui pursued advanced studies in materials science and optical engineering, laying a strong foundation for a career marked by academic excellence and groundbreaking research. The educational journey involved rigorous training in both theoretical principles and practical applications, fostering expertise in cutting-edge technologies. This academic background has been pivotal in shaping Wu’s approach to complex scientific challenges and interdisciplinary collaborations. 🎓

Experience:

With years of dedicated academic service, Wu has held prominent research and teaching positions at Quanzhou Normal University. This experience includes mentoring graduate students, leading research projects, and contributing to curriculum development in scientific disciplines. Wu’s role extends beyond academia, with active participation in international conferences and collaborative research initiatives that span across institutions and countries. 🌍

Research Interests:

Wu’s research interests are diverse, encompassing optical materials, thermal energy systems, and metamaterial-based devices. Key areas include the development of ultra-broadband solar absorbers, terahertz smart devices, and advanced optical reinforcement materials. Wu’s work is characterized by a focus on sustainability, energy efficiency, and the application of novel materials to solve real-world technological problems. 🔬

Awards:

While specific awards are not detailed, Wu’s academic achievements, high citation count, and influential publications underscore a career recognized for excellence. The impact of Wu’s research is reflected in the widespread adoption of scientific findings and contributions to the academic community. 🏆

Selected Publications:

  1. “Highly Localized Linear Array of Optical Rings with Multiple Tunable Degrees of Freedom” (2025) – Optics Communications ✨
  2. “Highly Efficient Color Tuning of Lithium Niobate Nanostructures on Flexible Substrate” (2025) – Materials 🌈
  3. “Ultra-Broadband Solar Absorber and Near-Perfect Thermal Emitter Based on Columnar Titanium Micro-Structure” (2025) – Applied Thermal Engineering ☀️
  4. “Bi-Directional Metamaterial Perfect Absorber Based on Gold Grating and TiO₂-InAs Normal Hexagonal Pattern Film” (2025) – Solar Energy Materials and Solar Cells ⚡
  5. “Thermal Radiation Analysis of a Broadband Solar Energy-Capturing Absorber Using Ti and GaAs” (2025) – Dalton Transactions 🌞
  6. “Ultra-Broadband Absorber and Near-Perfect Thermal Emitter Based on Multi-Layered Grating Structure Design” (2025) – Energy 🔥
  7. “Terahertz Smart Devices Based on Phase Change Material VO₂ and Metamaterial Graphene” (2025) – Optics and Laser Technology 🌐

Cited By: Over 6,610 citations, reflecting the widespread influence and recognition of these works. 📚

Conclusion:

Prof. Wu Pinghui’s academic journey exemplifies a commitment to scientific excellence and innovation. The combination of extensive research output, impactful publications, and interdisciplinary collaborations highlights a career dedicated to advancing knowledge and technology. Wu’s contributions not only enrich the academic community but also inspire future generations of researchers. This nomination for the Best Researcher Award is a testament to the profound impact Wu has made in the scientific world. 🌟

Dr. Abdulrahman Alnaim | Technology | Excellence in Research Award

Published on by Network Awards

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.

Prof. Khaled Shaban | Data Science | Best Researcher Award

Published on by Network Awards

Prof. Khaled Shaban | Data Science | Best Researcher Award

Prof. Khaled Shaban, Qatar University, Qatar

Prof. Khaled Shaban is a distinguished researcher and professor in Computer Science and Engineering at Qatar University. With expertise in Computational Intelligence, Machine Learning, and Data Science, he has significantly contributed to advancing pattern recognition, cloud computing, and cybersecurity. A senior member of IEEE and ACM, he has received multiple accolades for his groundbreaking research. He also holds an adjunct professorship at the University of Waterloo, reinforcing his global academic influence. His work focuses on AI-driven disease prediction, smart systems, and optimization techniques, making him a leader in intelligent computing innovations.

🌍 Professional Profile:

Google Scholar

Orcid

Scopus

🏆 Suitability for Best Researcher Award

Prof. Khaled Shaban’s research excellence, innovative contributions, and global recognition make him an ideal candidate for the Best Researcher Award. His pioneering work in Machine Learning, AI, and Computational Intelligence has led to influential publications and prestigious awards, such as the Best Paper Award at IRICT 2021. His ability to merge theory and application in AI, cloud computing, and cybersecurity has significantly impacted academia and industry. His leadership in top-tier conferences and IEEE/ACM communities underscores his commitment to advancing knowledge, making him a highly deserving candidate for this distinguished recognition.

🎓 Education

Prof. Khaled Shaban holds a Ph.D. in Electrical and Computer Engineering from the University of Waterloo, Canada (2006), specializing in Pattern Recognition and Machine Intelligence. His academic journey began with an M.Sc. in Engineering Systems and Computing (2002) from the University of Guelph, Canada, where he developed a strong foundation in computational intelligence and optimization. His interdisciplinary education has enabled him to integrate machine learning, data science, and engineering systems into cutting-edge research. His expertise in algorithms and computing theory has positioned him as a global leader in AI and intelligent systems research.

💼 Experience

Prof. Khaled Shaban has an extensive academic career, currently serving as a Professor at Qatar University’s College of Engineering (since April 2021). He previously held roles as Associate Professor (2016-2021) and Assistant Professor (2008-2016). Additionally, he is an Adjunct Professor at the University of Waterloo (2021-2027), collaborating on AI-driven computing innovations. His professional affiliations with IEEE, ACM, and international research communities enhance his impact on global technological advancements. Over the years, he has mentored numerous students and led transformative research in Artificial Intelligence, Data Science, and Optimization.

🏅 Awards & Honors

  • 🏆 Best Paper Award – IRICT 2021 for “C-SAR: Class-Specific and Adaptive Recognition for Arabic Handwritten Cheques”
  • 🏅 Nomination for Best Paper Award – ICVS 2021 for “MARL: Multimodal Attentional Representation Learning for Disease Prediction”
  • 🎖 Promoted to Professor – Qatar University, 2021
  • 🔬 Senior Member, IEEE & ACM – Recognized for contributions to AI and Computational Intelligence
  • 🌍 International Collaborations – Adjunct Professor at the University of Waterloo, fostering global research partnerships

🔬 Research Focus

Prof. Khaled Shaban’s research lies at the intersection of Artificial Intelligence, Computational Intelligence, and Data Science. His work in Machine Learning-driven healthcare analytics, particularly in disease prediction and medical image analysis, is widely recognized. He has also made significant contributions to cybersecurity, cloud computing, and smart grid systems. His studies on optimization and knowledge discovery enhance IoT, AI-based automation, and intelligent computing solutions. Through numerous publications and projects, he has addressed real-world challenges in AI, energy-efficient computing, and adaptive learning systems, making his research impactful across academia and industry.

📖 Publication Top Notes

  • Urban Air Pollution Monitoring System with Forecasting Models

    • Year: 2016
    • Citations: 341

  • Fault Detection, Isolation, and Service Restoration in Distribution Systems: State-of-the-Art and Future Trends

    • Year: 2016
    • Citations: 321

  • Delay-Aware Scheduling and Resource Optimization with Network Function Virtualization

    • Year: 2016
    • Citations: 266

  • A Reliability-Aware Network Service Chain Provisioning with Delay Guarantees in NFV-Enabled Enterprise Datacenter Networks

    • Year: 2017
    • Citations: 224

  • Deep Learning Models for Sentiment Analysis in Arabic

    • Year: 2015
    • Citations: 150

 

 

Dr. Tanushree Bhattacharjee | Emerging Technologies | Best Researcher Award

Published on by Network Awards

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

 

Prof. Jiantao Shi | Information Technology | Best Researcher Award

Published on by Network Awards

Prof. Jiantao Shi | Information Technology | Best Researcher Award

Prof. Jiantao Shi, Njing Tech University, China

Prof. Jiantao Shi is a distinguished researcher in control science and information technology, currently serving as a Professor at Nanjing Tech University. He holds a Ph.D. in Control Science and Engineering from Tsinghua University and has extensive experience in multi-robot cooperative control, fault diagnosis, and UAV learning control. His research has been published in leading IEEE journals, and he has significantly contributed to distributed system reliability. With a strong academic background and practical research experience, he has advanced intelligent control methodologies for autonomous systems. His contributions have positioned him as a leader in modern automation and robotics.

🌍 Professional Profile:

ORCID

🏆 Suitability for Best Researcher Award 

Prof. Jiantao Shi is an outstanding candidate for the Best Researcher Award due to his pioneering contributions to intelligent control systems, multi-robot cooperation, and UAV learning control. His work integrates cutting-edge AI techniques with control science, enabling the development of robust and fault-tolerant autonomous systems. With over 60 high-impact journal and conference papers in prestigious IEEE and SCI-indexed publications, he has made fundamental advances in the field. His leadership in both academic and applied research underscores his influence on the next generation of intelligent automation technologies. His innovative solutions make him highly deserving of this recognition.

🎓 Education

Prof. Jiantao Shi obtained his Bachelor’s degree in Electrical Engineering and Automation from Beijing Institute of Technology in 2011. He then pursued a Ph.D. in Control Science and Engineering at Tsinghua University, earning his doctorate in 2016. His academic journey at these top institutions equipped him with expertise in control systems, automation, and intelligent sensing technologies. His doctoral research focused on advanced fault diagnosis and cooperative control of multi-agent systems. This solid educational foundation has propelled him to the forefront of intelligent control and automation, enabling him to address complex challenges in distributed autonomous systems.

💼 Work Experience

Prof. Jiantao Shi has an extensive research career spanning academia and industry. From 2016 to 2018, he worked as an Associate Research Fellow at the Nanjing Research Institute of Electronic Technology, specializing in intelligent sensing. He was promoted to Research Fellow in 2019, leading projects in autonomous systems and fault-tolerant control. Since 2021, he has been a Professor at Nanjing Tech University, where he mentors students and advances research in AI-driven control methodologies. His experience in both applied research and academia allows him to bridge theoretical advancements with real-world applications in robotics, UAVs, and industrial automation.

🏅 Awards & Honors

Prof. Jiantao Shi has received several prestigious awards recognizing his contributions to control science and automation. His research has been featured in top-tier IEEE Transactions journals, demonstrating its high impact. He has been honored with multiple best paper awards at international conferences. Additionally, his work on UAV control and multi-robot systems has been acknowledged with research grants and government funding for innovation in automation. As a key contributor to cutting-edge intelligent control systems, he continues to earn accolades for his groundbreaking contributions, positioning himself as a leading researcher in distributed autonomous system control.

🔬 Research Focus

Prof. Jiantao Shi’s research centers on advanced control methodologies for intelligent automation. His key areas of expertise include cooperative control of multi-robot systems, fault diagnosis and fault-tolerant control of distributed systems, and learning-based control of UAVs. His work integrates AI and machine learning with traditional control science to enhance system resilience and autonomy. By developing robust, intelligent algorithms, he aims to improve automation reliability in real-world applications. His research has profound implications for robotics, autonomous vehicles, and industrial automation, paving the way for next-generation intelligent systems with enhanced adaptability, efficiency, and fault resilience.

📖 Publication Top Notes 

  1. A Parallel Weighted ADTC-Transformer Framework with FUnet Fusion and KAN for Improved Lithium-Ion Battery SOH Prediction
    • Publication Year: 2025
  2. Bipartite Fault-Tolerant Consensus Control for Multi-Agent Systems with a Leader of Unknown Input Under a Signed Digraph
    • Publication Year: 2025
  3. Iterative Learning-Based Fault Estimation for Stochastic Systems with Variable Pass Lengths and Data Dropouts
    • Publication Year: 2025
  1. A Two-Stage Fault Diagnosis Method with Rough and Fine Classifiers for Phased Array Radar Transceivers
    • Publication Year: 2024
  2. An Intuitively-Derived Decoupling and Calibration Model to the Multi-Axis Force Sensor Using Polynomials Basis
    • Publication Year: 2024
  3. Event-Based Adaptive Fault Tolerant Control and Collision Avoidance of Wheel Mobile Robots with Communication Limits
    • Publication Year: 2024