Seeram Ramakrishna | Materials Science | Excellence in Innovation Award

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Prof. Seeram Ramakrishna | Materials Science | Excellence in Innovation Award

Tsinghua University | Singapore

Prof. Seeram Ramakrishna is a highly influential researcher in materials science and advanced engineering, with a distinguished scholarly record reflected by an h-index of 192, 2,251 documents, and approximately 174,820 citations across 123,939 citing publications. His research spans nanomaterials, sustainable materials engineering, energy storage systems, and environmental technologies, with a strong emphasis on translating fundamental science into scalable solutions. Recent publications highlight cutting-edge contributions to aluminum–air batteries through biomass-derived carbon quantum dots, defect-engineered electrocatalysts for lithium–sulfur batteries, photocatalytic hydrogen evolution using hierarchical sulfide systems, and bio-inspired materials for water purification, oil–water separation, and dust filtration. His work consistently integrates interfacial engineering, defect chemistry, and green material design to enhance electrochemical performance and environmental sustainability. Through an exceptional volume of high-impact publications and sustained citation influence, his research has significantly shaped contemporary directions in energy materials, functional textiles, and circular, eco-friendly material systems.

Citation Metrics (Scopus)

180k

135k

90k

45k

0

Citations
174,820

Documents
2,251

h-index
192

Citations

Documents

h-index


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Featured Publications

Electrospinning of nanofibres
– Nature Reviews Methods Primers, 2024, 4, 1
Intelligent Materials
– Matter, 2020, Volume 3, Issue 3, Pages 590–593

Saraswathy Shamini Gunasekaran | Computer Science | Research Excellence Award

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Assoc. Prof. Dr. Saraswathy Shamini Gunasekaran | Computer Science | Research Excellence Award

Taylor's University | Malaysia

Assoc. Prof. Dr. Saraswathy Shamini Gunasekaran is an accomplished researcher and academic specializing in Artificial Intelligence, with a strong focus on agent-based systems, intelligent autonomous systems, machine learning applications, smart energy systems, and climate change–related digital intelligence. Her scholarly impact is reflected in an h-index of 16, with 70 research documents generating 899 citations across international indexing platforms, demonstrating sustained influence in AI-driven and interdisciplinary research domains. Her work spans collective intelligence, knowledge transfer models, data mining, educational technologies, and intelligent digitalization, with publications appearing in IEEE conferences, international journals, and Springer book chapters. In addition to academic publishing, she has led significant intellectual property initiatives, including a granted patent on cooperative control systems for unmanned aerial platforms, utility innovations in autonomous multi-UAV task allocation, and copyrighted micro-credential programs. Her research excellence has been recognized through multiple prestigious awards, including international science communication accolades, industry research honors, and selection for global digital leadership programs. With over two decades of academic engagement and active research contributions, her profile reflects a strong integration of theoretical innovation, applied intelligence systems, and impactful scholarly dissemination across AI, energy, education, and digital transformation domains.

Citation Metrics (Scopus)

1000

800

600

400

200

0

Citations
899

Documents
70

h-index
16

 

Citations

 

Documents

 

h-index


View Scopus Profile

Featured Publications

Exploring the Roles of Agents and Multi-Agent in Improving Mobile Ad Hoc Networks
– International Symposium on Agents, Multi-Agent Systems and Robotics, ISAMSR, 2021

 

Haiwei Wu | Engineering | Best Researcher Award

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Prof. Dr. Haiwei Wu | Engineering | Best Researcher Award

Jilin Agricultural University | China

Prof. Dr. Haiwei Wu is an emerging multidisciplinary researcher whose contributions span energy systems, machine learning, spectroscopy, and intelligent diagnostics. His recent research focuses on advanced computational methods applied to energy storage and electric vehicle systems, including the development of an attention-based multi-feature fusion physics-informed neural network for accurate state-of-health estimation of lithium-ion batteries and the application of queuing-theoretic models for sustainable EV charging infrastructure planning. Beyond energy research, he has contributed significantly to the use of mid-infrared spectroscopy combined with machine learning and support vector machines for the authentication and identification of biological and agricultural products, reflecting strong capabilities in analytical modeling and pattern recognition. His publications from 2022 to 2025 highlight expertise in spectral analysis, counterfeit detection, and quality assessment. In addition, he has explored applications of improved YOLOv8 for mechanical part inspection and contributed to research on task-driven cooperative inquiry learning in education. His innovative work is supported by several patents related to electric vehicle charging technologies, demonstrating a commitment to advancing practical, technology-driven solutions across sectors.

Profile : Scopus | Orcid

Featured Publications

Wu, H., Liu, J., Wang, Z., & Li, X. (2025). An attention-based multi-feature fusion physics-informed neural network for state-of-health estimation of lithium-ion batteries. Energies.

Wang, Z., Zou, J., Tu, J., Li, X., Liu, J., & Wu, H. (2025). Towards sustainable EV infrastructure: Site selection and capacity planning with charger type differentiation and queuing-theoretic modeling. World Electric Vehicle Journal.

He, T., Kaimin, W., & Wu, H. (2025). Research on the construction and implementation of a task-driven cooperative inquiry learning model for postgraduate students majoring in music education. Chinese Music Education, (05), 47–53.

Yang, C.-E., Wu, H., Yuan, Y., et al. (2025). Efficient recognition of plum blossom antler hats and red deer antler hats based on support vector machine and mid-infrared spectroscopy. Journal of Jilin Agricultural University, 1–7.

Yang, C.-E., Su, L., Feng, W.-Z., Zhou, J.-Y., Wu, H.-W., Yuan, Y.-M., & Wang, Q. (2023). Identification of Pleurotus ostreatus from different producing areas based on mid-infrared spectroscopy and machine learning. Spectroscopy and Spectral Analysis.

Yang, C.-E., Su, L., Feng, W., et al. (2023). Identification of Pleurotus ostreatus from different origins by mid-infrared spectroscopy combined with machine learning. Spectroscopy and Spectral Analysis, 43(02), 577–582.

Yang, C.-E., Wu, H.-W., Yang, Y., Su, L., Yuan, Y.-M., Liu, H., Zhang, A.-W., & Song, Z.-Y. (2022). A model for the identification of counterfeited and adulterated Sika deer antler cap powder based on mid-infrared spectroscopy and support vector machines. Spectroscopy and Spectral Analysis.

Yang, C.-E., Wu, H., Yang, Y., et al. (2022). Identification model of counterfeiting and adulteration of plum blossom antler cap powder based on mid-infrared spectroscopy and support vector machine. Spectroscopy and Spectral Analysis, 42(08), 2359–2365.

Hafiz Mohammad Hasan Babu | Computer Science | Lifetime Achievement in Books Award

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Prof. Hafiz Mohammad Hasan Babu | Computer Science | Lifetime Achievement in Books Award

University of Dhaka | Bangladesh

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Early Academic Pursuits

Prof. Hafiz Mohammad Hasan Babu began his academic journey in the realm of computer science and engineering with a strong foundation from the Brno University of Technology, Czech Republic, where he completed his M.Sc. with a focus on logic network automation. His curiosity for advanced computational systems took him to the Kyushu Institute of Technology in Japan, where he earned his Ph.D. in Computer Science and Electronics. His doctoral work concentrated on data structures for multiple-output functions and their applications in VLSI CAD, under the guidance of Prof. Dr. Tsutomu Sasao. These formative years laid the groundwork for his future innovations in quantum computing, reversible logic, and nanotechnology.

Professional Endeavors

Prof. Hasan Babu's academic career spans several decades and institutions, notably the University of Dhaka, where he served in various capacities, including as professor in the departments of Computer Science and Engineering, and Robotics and Mechatronics Engineering. His early academic roles also included positions at Khulna University. He has been deeply involved in curriculum development, student mentorship, and departmental leadership. Beyond teaching, he also contributed significantly as a research supervisor and played a critical role in developing the academic and research culture of computer science in Bangladesh.

Contributions and Research Focus

A prolific researcher, Prof. Hasan Babu has made groundbreaking contributions in the fields of quantum computing, reversible logic design, DNA computing, and machine learning applications in healthcare and agriculture. His interdisciplinary research integrates electronics, artificial intelligence, and biological systems. His most recent works delve into quantum biocomputing and nanotechnology, as evidenced by his multi-volume publications with Springer Nature and CRC Press. He has also authored numerous peer-reviewed articles on topics such as cardiovascular disease detection using mobile AI, air quality forecasting, and toxic substance identification in fruits through deep learning.

Accolades and Recognition

Prof. Hasan Babu has received numerous prestigious awards recognizing his excellence in research and scholarly contributions. These include the Dhaka University Research Excellence Recognition, the UGC Gold Medal, and the Dr. M. O. Ghani Memorial Gold Medal from the Bangladesh Academy of Sciences. His biography has been featured in “Who's Who in the World, USA.” He has also received international fellowships such as the Japanese Government Scholarship, the DAAD Fellowship from Germany, and a Czechoslovakian Government Scholarship, marking his global academic influence.

Impact and Influence

Throughout his academic life, Prof. Hasan Babu has significantly influenced the fields of computer science, electronics, and artificial intelligence. His innovations in reversible logic and DNA computing have shaped research methodologies and applications in both academia and industry. He has been instrumental in advancing computational methods that address real-world problems, particularly in environmental monitoring, biomedical diagnostics, and agricultural automation. His role as a mentor to doctoral and master’s students further amplifies his impact on the next generation of scholars.

Legacy and Future Contributions

Prof. Hasan Babu’s extensive scholarly contributions, particularly in the emerging domains of quantum AI and biocomputing, position him as a thought leader in futuristic technologies. His upcoming publications promise to offer new paradigms in nanotechnology and molecular-level computing. As he continues to mentor new researchers and expand the boundaries of interdisciplinary science, his legacy will be defined by his relentless pursuit of innovation and his dedication to fostering a globally relevant research ecosystem.

List of Book Publications

Books Published in 2025:

1. Quantum AI Emerging Technologies: Driving Innovation and Shaping the Future of Nanotechnology, Volume I, Springer Nature, Singapore.

2. Quantum AI Emerging Technologies: Driving Innovation and Shaping the Future of Nanotechnology, Volume II, Springer Nature, Singapore.

3. Quantum Biocomputing in Quantum Biology, Volume I, Springer Nature, Singapore.

4. Quantum Biocomputing in Quantum Biology, Volume II, Springer Nature, Singapore.

Book Published in 2024:
5. DNA Logic Design: Computing with DNA, World Scientific Publishing Co Pte Ltd., Singapore.

Books Published in 2023:
6. Multiple-Valued Computing in Quantum Molecular Biology, Volume I, CRC Press, USA.
7. Multiple-Valued Computing in Quantum Molecular Biology, Volume II, CRC Press, USA.

Books Published in 2022:
8. VLSI Circuits and Embedded Systems, CRC Press, USA.
9. Control Engineering Theory and Applications (Co-authored with Md. Jahangir Alam, Guoqing Hu, and Huazhong Xu), CRC Press, USA.

Books Published in 2020:
10. Quantum Computing: A Pathway to Quantum Logic Design, 2nd Edition, IOP Publishers, Bristol, UK.
11. Reversible and DNA Computing, Wiley Publishers, UK.

Journal Publications

Analyzing infant cry to detect birth asphyxia using a hybrid CNN and feature extraction approach
Authors: Samrat Kumar Dey, Khandaker Mohammad Mohi Uddin, Arpita Howlader, Md Mahbubur Rahman, Hafiz Md Hasan Babu, Nitish Biswas, Umme Raihan Siddiqi, Badhan Mazumder
Journal: Neuroscience Informatics (Elsevier)
Year: 2025

Empowering early detection: A web-based machine learning approach for PCOS prediction
Authors: Md. Mahbubur Rahman, Ashikul Islam, Forhadul Islam, Mashruba Zaman, Md Rafiul Islam, Md Shahriar Alam Sakib, Hafiz Md Hasan Babu
Journal: Journal of Informatics in Medicine (Elsevier)
Year: 2024

Computer vision based deep learning approach for toxic and harmful substances detection in fruits
Authors: Abdus Sattar, Md. Asif Mahmud Ridoy, Aloke Kumar Saha, Hafiz Md. Hasan Babu, Mohammad Nurul Huda
Journal: Heliyon (Cell Press)
Year: 2024

A Comprehensive Approach to Detecting Chemical Adulteration in Fruits Using Computer Vision, Deep Learning, and Chemical Sensors
Authors: Abdus Sattar, Md. Asif Mahmud Ridoy, Aloke Kumar Saha, Hafiz Md. Hasan Babu, Mohammad Nurul Huda
Journal: Journal of Intelligent Systems with Applications (Elsevier)
Year: 2024

A Voice assistive mobile application tool to detect cardiovascular disease using machine learning approach
Authors: Khandaker Mohammad Mohi Uddin, Samrat Kumar Dey, Hafiz Md Hasan Babu
Journal: Biomedical Materials & Devices (Springer US)
Year: 2024

Conclusion

Prof. Hafiz Mohammad Hasan Babu embodies the spirit of academic excellence and innovation in computer science. With a career rich in scholarly output, international collaborations, and student mentorship, he has become a beacon of transformative research and a visionary in integrating quantum theory with computational systems. His work continues to influence the scientific community both in Bangladesh and globally, promising continued advancements in technology and applied sciences.

Biao Shi | Materials Science | Best Researcher Award

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Dr. Biao Shi | Materials Science | Best Researcher Award

Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences | China

Author Profile

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Orcid

Early Academic Pursuits

Dr. Biao Shi embarked on his academic journey at Chongqing University, where he demonstrated a rare interdisciplinary interest. He earned a Bachelor of Engineering in Material Physics, followed by a Bachelor of Management in Business Administration. His strong foundation in both technical and managerial domains reflects a holistic approach to science and innovation. Dr. Shi further elevated his academic credentials by earning a PhD in Materials Science from the Shanghai Institute of Ceramics, Chinese Academy of Sciences.

Professional Endeavors

Dr. Shi has cultivated a robust career centered around two-dimensional (2D) materials, a cutting-edge field in nanotechnology and materials science. His primary focus includes the synthesis and characterization of materials such as graphene, WS₂, and MoS₂, and their application in advanced devices. Currently, he is actively engaged in the design and fabrication of photodetectors and biosensors that leverage the unique properties of these 2D structures. His deep integration of materials science into real-world devices positions him at the forefront of applied nanotechnology.

Contributions and Research Focus

Dr. Shi's work spans numerous high-impact research publications, showcasing his expertise in biosensors, graphene-based field-effect transistors (GFETs), and photodetection technologies. He has co-authored pioneering studies such as fluorescence multiplexed miRNA biosensors for lung cancer diagnostics, DNA hybridization detection using WS₂ nanosheet-based FET biosensors, graphene liquid-gated transistors for label-free biosensing, and monolayer WS₂ crystal synthesis for scalable electronic applications. These contributions have advanced the precision, efficiency, and application scope of 2D materials in next-generation sensors and electronics.

Accolades and Recognition

While not explicitly listed, Dr. Shi’s consistent publication in prestigious journals like ACS Applied Nano Materials, Analytica Chimica Acta, and Nanomaterials reflects the high esteem in which his research is held by the global scientific community. His work is frequently cited and forms a core component of the rapidly growing field of nanomaterials and biosensor technologies.

Impact and Influence

Dr. Shi’s research is contributing to transformational technologies in medical diagnostics, particularly in early cancer detection through innovative biosensor design. His work with graphene and transition metal dichalcogenides (TMDs) is influencing how materials science is applied in biomedicine, environmental sensing, and optoelectronics. By enabling faster, more sensitive, and miniaturized sensors, he is helping shape the future of personalized healthcare and real-time diagnostics.

Legacy and Future Contributions

Dr. Shi's scientific legacy is anchored in his pioneering exploration of 2D materials for device applications. As research and development in nanotechnology accelerate, he is poised to make even greater strides in flexible electronics, wearable biosensors, and intelligent sensing platforms. His future work promises to further close the gap between material synthesis and functional device integration, paving the way for revolutionary applications in smart healthcare, environmental monitoring, and quantum devices.

Publications

A Sandwich-Type Impedimetric Immunosensor for the Detection of Tau-441 Biomarker

Authors: Khouloud Djebbi, Yang Xiang, Biao Shi, Lyes Douadji, Xiaohan Chen, Jin Liu, Chaker Tlili, Deqiang Wang
Journal: Bioengineering
Year: 2025

Graphene-based Field-Effect Transistor Biosensor for Prostate-Specific Antigen Detection

Authors: Xiangdong Kong, Yunjiao Wang, Deping Huang, Xin Li, Biao Shi, Daming Zhou, Rong Tian, Chaker Tlili, Deqiang Wang
Journal: Microchemical Journal
Year: 2024

Nanopore-Based Aptasensor for Label-Free and Sensitive Vanillin Determination in Food Samples

Authors: Mohamed Amin Elaguech, Mohamed Bahri, Khouloud Djebbi, Daming Zhou, Biao Shi, Liyuan Liang, Natalia Komarova, Alexander Kuznetsov, Chaker Tlili, Deqiang Wang
Journal: Food Chemistry
Year: 2022

Highly Sensitive Fluorescence Multiplexed miRNAs Biosensors for Accurate Clinically Diagnosis of Lung Cancer Disease Using LNA-Modified DNA Probe and DSN Enzyme

Authors: K. Djebbi, J. Xing, T. Weng, M. Bahri, M.A. Elaguech, C. Du, B. Shi, L. Hu, S. He, P. Liao, C. Tlili, D. Wang
Journal: Analytica Chimica Acta
Year: 2022

Tungsten Disulfide Nanosheet-Based Field-Effect Transistor Biosensor for DNA Hybridization Detection

 Authors: M. Bahri, B. Shi, M.A. Elaguech, K. Djebbi, D. Zhou, L. Liang, C. Tlili, D. Wang
 Journal: ACS Applied Nano Materials
Year: 2022

Best Innovator Award

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Introduction

The Best Innovator Award is a distinguished recognition designed to honor individuals who have demonstrated exceptional creativity, ingenuity, and impact through groundbreaking innovations. Innovation drives progress across various fields, and this award acknowledges those who have significantly contributed to technological advancements, scientific breakthroughs, or transformative ideas. By recognizing outstanding innovators, the award aims to foster a culture of creativity, problem-solving, and forward-thinking approaches that shape the future of industries and societies.

Award Overview

The Best Innovator Award is conferred annually to individuals or teams who have developed groundbreaking innovations that demonstrate originality, feasibility, and societal impact. The award spans multiple disciplines, including science, engineering, medicine, information technology, business, and social entrepreneurship. It serves as a platform to showcase pioneering work, highlighting the importance of innovation in driving progress and addressing global challenges. The award not only honors past achievements but also encourages continued exploration and development of new ideas that have the potential to create a lasting impact on the world.

Eligibility

The Best Innovator Award is open to individuals, research teams, startups, and organizations that have introduced an innovation with a demonstrable impact. Nominees must provide substantial evidence of their innovation’s success, application, and influence within their field. Both early-career and experienced professionals are eligible, as long as their work showcases significant ingenuity and advancement. Innovations must be original, ethically developed, and capable of being implemented for real-world benefits. The award is open to international applicants, recognizing the global nature of innovation and its widespread impact.

Evaluation Criteria

The selection of the Best Innovator Award is based on a thorough evaluation of the innovation’s originality, significance, and effectiveness. The key criteria include the novelty of the idea, technological or conceptual advancements, practical applications, and societal contributions. Judges assess the problem-solving aspect of the innovation, measuring its effectiveness in addressing critical challenges within its respective field. Market readiness, scalability, and sustainability are also considered, ensuring that the innovation holds long-term potential for industry and community development. The impact of the innovation on improving lives, industries, or research is weighed heavily in the final decision.

Submission Guidelines

Applicants must submit a comprehensive nomination package detailing their innovation, its development process, and its impact. The submission should include a detailed description of the innovation, supporting technical documents, and relevant images or videos demonstrating its functionality. A personal or team biography, outlining the background of the innovator(s) and their journey in developing the innovation, is required. Applicants must provide verifiable data and case studies showcasing the innovation’s effectiveness. Supporting documents such as patents, research publications, testimonials, and industry recognition strengthen the application. The deadline for submissions is strictly enforced, and incomplete applications will not be considered.

Recognition

Winners of the Best Innovator Award receive a prestigious certificate, a trophy commemorating their achievement, and public recognition through press releases, academic journals, and social media. The award provides international exposure, allowing winners to connect with investors, research institutions, and industry leaders. Recipients may be invited to present their innovations at conferences, global summits, and innovation expos. This recognition fosters networking opportunities and potential collaborations that can further develop and scale the innovation. The award also enhances the credibility and career prospects of the winners, opening doors to new funding, research grants, and professional opportunities.

Community Impact

Innovation plays a crucial role in shaping the future of societies and industries, and the Best Innovator Award seeks to highlight innovations that have made a tangible difference. By recognizing groundbreaking work, the award inspires the next generation of thinkers, entrepreneurs, and researchers to push the boundaries of knowledge and technology. The community benefits from exposure to revolutionary ideas that can drive economic growth, improve quality of life, and solve pressing global issues. The award encourages a culture of creativity and collaboration, fostering an environment where innovative solutions thrive and generate meaningful change.

Biography

Applicants must submit a well-documented biography that outlines their academic and professional background, key achievements, and journey in innovation. This section should highlight major milestones, challenges overcome, and the motivation behind their work. The biography should reflect the innovator’s dedication to research, experimentation, and problem-solving. For team applications, details of each member’s role and contributions should be included. The biography provides judges with insights into the passion, perseverance, and expertise of the nominee, helping to contextualize their innovation and its impact.

Abstract

A clear and concise abstract summarizing the nominated innovation is required. This should include the problem statement, objectives, methodology, and key findings. The abstract should also highlight why the innovation is unique and how it contributes to advancements in its field. A well-structured abstract enhances the application by providing a snapshot of the innovation’s significance, enabling the selection committee to assess its merit quickly. Applicants should ensure the abstract is engaging, informative, and reflective of the broader implications of their work.

Supporting Files

To strengthen their submission, applicants should provide relevant supporting materials that verify their innovation’s success and impact. These may include patents, research papers, prototype demonstrations, media coverage, testimonials from industry experts, and letters of endorsement from academic institutions or professional bodies. Videos showcasing the innovation in action, graphical representations, and data-driven analyses further enhance the application. High-quality supporting documents help establish the credibility of the innovation and provide compelling evidence of its effectiveness and significance.

 

 

 

Norasage Pattanadech | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Norasage Pattanadech | Engineering | Best Researcher Award

King Mongkut Institute of Technology Ladkrabang | Thailand

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🎓 Early Academic Pursuits

Assoc. Prof. Dr. Norasage Pattanadech embarked on his academic journey with a strong foundation in electrical engineering. He earned his Bachelor of Engineering degree from King Mongkut’s Institute of Technology Ladkrabang (KMITL), Bangkok, Thailand, in 1998. His passion for advancing in the field led him to pursue a Master of Engineering in Electrical Engineering at Chulalongkorn University, Bangkok, Thailand, which he completed in 2002. With an insatiable thirst for knowledge, he attained his doctoral degree in Engineering Sciences in Electrical Engineering from the Institute of High Voltage Engineering and System Management at Graz University of Technology, Austria, in 2013. These formative years set the stage for his impactful career in electrical engineering, high-voltage systems, and insulation technologies.

🏢 Professional Endeavors

Dr. Pattanadech’s professional journey has been marked by global academic collaborations and industrial expertise. His exchange research experiences took him to esteemed institutions, including Tokai University in Japan (2005) and Graz University of Technology in Austria (2007). His role as a Guest Professor at the University of Applied Science Wuerzburg-Schweinfurt, Germany, since 2019, showcases his international recognition in power engineering and high-voltage technology. Beyond academia, Dr. Pattanadech has played a vital role in several industrial projects. His expertise in power system diagnostics, partial discharge analysis, and underground cable assessments has contributed to major initiatives with leading organizations, including GPSC, SCG, and Thai-Yazaki Electric Wire. His leadership in assessing transformer lifespan, underground cable performance, and failure analysis has provided crucial insights into improving power system reliability and safety.

🏆 Contributions and Research Focus

Dr. Pattanadech's research spans a broad spectrum of electrical engineering, with a primary focus on high-voltage insulation, power system diagnostics, and partial discharge analysis. His work on dielectric materials, insulation performance evaluation, and nanofluids for transformer applications has significantly advanced the field. He has published extensively in prestigious international journals such as IEEE Transactions on Power Delivery, IEEE Transactions on Dielectrics and Electrical Insulation, and IET Science Measurement and Technology. His research has yielded innovative solutions for insulation monitoring, breakdown analysis, and high-voltage equipment testing. Additionally, he has co-authored influential books, including "Biological Insulating Liquids" (Springer, 2023) and "Partial Discharges: Detection, Identification, and Localization" (IEEE PRESS, Wiley, 2023), which serve as essential resources in the field of electrical engineering.

🏅 Accolades and Recognition

Dr. Pattanadech's contributions have earned him international recognition and leadership roles in various professional organizations. He is an active member of the IEEE PES Thailand Chapter and serves on several IEC technical committees for high-voltage test techniques and partial discharge measurements. As the Chairperson for the International Conference on Condition Monitoring and Diagnosis (CMD 2020) and the International Steering Committee Chair since 2018, he has played a pivotal role in shaping the global discourse on power system diagnostics. His expertise has also been acknowledged through patents, including his Japan Patent (2021) for a breaker with electrode-controlling current, underscoring his contributions to electrical safety and reliability advancements.

🌍 Impact and Influence

Dr. Pattanadech's impact extends beyond research publications and patents. His dedication to training and knowledge dissemination is evident in his role as a lead trainer for advanced partial discharge courses in Singapore, Malaysia, and the Netherlands. His involvement in international advisory committees, including ICPADM and ISEIM, highlights his influence in guiding research and technological advancements in electrical insulation and power system diagnostics. His collaborations with industries in Thailand and beyond have led to significant improvements in condition monitoring techniques, underground cable health assessments, and transformer reliability studies. His work has not only enhanced engineering practices but has also contributed to the long-term sustainability of electrical infrastructure.

🚀 Legacy and Future Contributions

As a thought leader in electrical engineering, Dr. Pattanadech continues to push the boundaries of research and innovation. His upcoming role as General Chair for the 14th International Conference on The Properties and Application of Dielectric Material (ICPADM 2024) underscores his commitment to advancing the field. With ongoing research in high-voltage insulation performance, nanofluids for dielectric applications, and artificial intelligence in partial discharge diagnostics, his future contributions will likely shape the next generation of power system technologies. His legacy as an educator, researcher, and industry expert will continue to inspire and guide professionals in electrical engineering for years to come.

Publications

  • 📄"The State of Health Estimation of Retired Lithium-Ion Batteries Using a Multi-Input Metabolic Gated Recurrent Unit"

    • Authors: Yu He, Norasage Pattanadech, Kasiean Sukemoke, Minling Pan, and Lin Chen
    • Journal: Energies
    • Year: 2025

  • 📄"Experimental Study of the Electrical and Physiochemical Properties of Different Types of Crude Palm Oils as Dielectric Insulating Fluids in Transformers"

    • Authors: P. Muangpratoom, C. Suriyasakulpong, S. Maneerot, W. Vittayakorn, and N. Pattanadech
    • Journal: Sustainability
    • Year: 2023

  • 📄"Additional Parameters for Elucidation of The Dielectric Behavior of Stator Winding in High Voltage Motors"

    • Authors: Norasage Pattanadech, Natthawut Phloymuk, Phethai Nimsanong, Chissanupong Srinangyam, Siwakorn Jeenmuang, and Chanin Bunlaksananusorn
    • Journal: Energy Reports
    • Year: 2022

  • 📄"Localisation of Partial Discharge in Power Cables Through Multi-Output Convolutional Recurrent Neural Network and Feature Extraction"

    • Authors: J. Yeo, H. Jin, A. Rodrigo Mor, C. Yuen, N. Pattanadech, W. Tushar, and T.K. Saha
    • Journal: IEEE Transactions on Power Delivery
    • Year: 2022

  • 📄"The Influence of Nanoparticles on The Dielectric Dissipation Factor and Lightning Properties in Palm Oil-Based Nanofluids"

    • Authors: N. Pattanadech and P. Muangpratoom
    • Journal: Journal of Engineering Science and Technology
    • Year: 2022

 

 

Sohail Muhammad | Engineering | Best Researcher Award

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Mr. Sohail Muhammad | Engineering | Best Researcher Award

University of Electronic Science and Technology of China | Pakistan

Author Profile

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🎓 Early Academic Pursuits

Mr. Sohail Muhammad's academic journey began with a strong foundation in engineering. He pursued a Ph.D. in Information and Communication Engineering at the University of Electronics Science and Technology of China, starting in September 2021. Prior to this, he earned a Master’s degree in Electronic Science and Technology from Xi'an Jiao Tong University, China, where he achieved a CGPA of 3.17. His academic endeavors were further strengthened by his BS (Hons) in Telecommunication Engineering from Hazara University of Manshera, Pakistan. His education laid the groundwork for his specialized research in advanced engineering fields.

💼 Professional Endeavors

Mr. Muhammad's professional journey is marked by significant roles in the telecommunications industry. He worked as a Transmission Engineer at HUAWEI (PVT) LTD in Islamabad, Pakistan, for one year and four months, where he honed his skills in network operations and communication technologies. Additionally, he gained valuable experience during his internship at Mobiserv (Pvt) Ltd, where he worked in operations as a BSS/Transmission Engineer in Swat, KPK, Pakistan. His professional background is further enriched by a six-month teaching stint at Tipu Shaheed School and College in Swat, demonstrating his commitment to education and knowledge sharing.

📚 Contributions and Research Focus

Mr. Muhammad's research focuses on cutting-edge technologies in MIMO Reference Antenna for OTA Applications, Antenna Decoupling, Microwave Photonic Crystal, and Optomechanics. His work has led to several notable publications, including studies on silicon-based photonic crystal optomechanical cavities and lithium-niobate-based photonic crystal cavities. His research has been recognized at international conferences, showcasing his contributions to the field of photonics and communication engineering. His ability to blend theoretical knowledge with practical applications has made him a respected figure in his research domain.

🏆 Accolades and Recognition

Throughout his academic and professional career, Mr. Muhammad has been the recipient of numerous scholarships and awards. He was awarded the Chinese Government Scholarship to pursue his Ph.D., the Belt & Road Scholarship for his Master's degree, and the Higher Education Commission Scholarship for his undergraduate studies. These accolades are a testament to his academic excellence and dedication to advancing his knowledge in engineering and technology.

🌍 Impact and Influence

Mr. Muhammad's work has had a significant impact on the fields of telecommunications and photonics. His research contributions have been published in reputable journals and presented at international conferences, influencing the work of other researchers and professionals in the field. His expertise in photonic crystals and antenna design has opened new avenues for innovation in communication technologies, making him a key player in advancing these areas.

🔮 Legacy and Future Contributions

As Mr. Muhammad continues his research and professional endeavors, his legacy is being built on a foundation of academic excellence, innovative research, and professional achievements. His future contributions are expected to further the understanding and application of advanced communication technologies, particularly in the areas of photonics and antenna design. His work will continue to inspire and guide future generations of engineers and researchers in these fields.

 

Publications

📄 Design and Fabrication of High-Quality Two-Dimensional Silicon-Based Photonic Crystal Optical Cavity with Integrated Waveguides
Authors: Sohail Muhammad, Dingwei Chen, Chengwei Xian, Jun Zhou, Zhongke Lei, Pengju Kuang, Zhe Li, Guangjun Wen, Yongjun Huang
Journal: 📰 Photonics
Year: 2024

 

Sasank V.V.S | Computer Science | Best Researcher Award

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Assist Prof Dr. Sasank V.V.S | Computer Science | Best Researcher Award

K L University | India

Author Profile

Scopus

Early Academic Pursuits

Dr. Sasank V.V.S. exhibited a strong academic foundation from the outset. He completed his secondary education at Jassver English Medium School in 2007 with a First Class distinction, scoring 72.66%. He continued to excel in his Intermediate studies at Mega Junior College, graduating in 2009 with an 84.1% mark, also achieving First Class. His academic journey progressed to higher education at Gitam Institute of Technology, GITAM University, where he obtained his B.Tech in Information Technology in 2013 with a CGPA of 8.15, earning a Distinction. He further advanced his education with an M.Tech in Computer Science and Technology from the same institution, graduating in 2016 with a remarkable 9.11 CGPA, securing the top rank in his department. Dr. Sasank completed his Ph.D. at K.L. University in 2023, marking a significant milestone in his academic career.

Professional Endeavors

Dr. Sasank has a rich professional background in both academia and industry. He began his teaching career as a Teaching Assistant in the CSE Department at Gitam University from October 2015 to April 2016. He then served as an Assistant Professor at the Lendi Institute of Engineering & Technology, VIZIANAGARAM, from June 2016 to April 2017. Following this, he joined Anil Neerukonda Institute of Technology & Sciences (ANITS) as an Assistant Professor and Placement Officer from June 2017 to April 2019. He has been affiliated with K L University since July 2019, initially in the CSE Department and later in the CSIT Department, where he also served as the ERP Registration In-charge. His teaching repertoire includes subjects such as DBMS, Software Engineering, Computer Architecture & Organization, Term Paper, UI/UX Design, and DevOps.

Contributions and Research Focus

Dr. Sasank's research primarily focuses on advanced topics in computer science and engineering. His areas of interest include brain tumor classification, real-time traffic management using IoT and machine learning techniques, and the evolution of modern women in literature. He has published a significant number of papers in reputed journals, including  SCI papers and several Scopus-indexed articles. His notable publications include works on hybrid deep neural networks, automatic tumor growth prediction, and brain tumor classification using modified kernel-based softplus extreme learning machines. Additionally, he has guided numerous B.Tech and M.Tech project batches, contributing to the academic growth of his students.

Accolades and Recognition

Dr. Sasank has received several accolades for his academic and research achievements. He was the top ranker in his M.Tech program at Gitam University in 2016. He has published 18 papers, including SCI, Scopus, and WOS-indexed journals, and has contributed to two book chapters. His innovative research has led to the publication of two patents: one on real-time traffic management using IoT and machine learning techniques, and another on the evolution of modern women in Manju Kapur’s novels. Additionally, he has earned global certifications, including Google Associate Cloud Engineer and AWS Cloud Practitioner, and has presented his research at various international conferences.

Impact and Influence

Dr. Sasank's contributions to the field of computer science and engineering have had a significant impact on both academic and practical applications. His research on brain tumor classification and real-time traffic management has potential real-world implications, advancing the fields of medical imaging and smart city technologies. As an educator, he has influenced many students through his teaching and mentorship, guiding them in their academic and research endeavors.

Legacy and Future Contributions

Dr. Sasank's ongoing research and academic activities are expected to leave a lasting legacy in the field of computer science and engineering. His contributions to brain tumor classification and IoT-based traffic management are poised to influence future research and development in these areas. As he continues to publish and present his work, Dr. Sasank is likely to inspire and mentor the next generation of engineers and researchers, ensuring continued innovation and excellence in his field.

 

Notable Publications

Prostate cancer classification using adaptive swarm Intelligence based deep attention neural network 2024

Effective Segmentation and Brain Tumor Classification Using Sparse Bayesian ELM in MRI Images 2023

Hybrid deep neural network with adaptive rain optimizer algorithm for multi-grade brain tumor classification of MRI images 2022 (14)

An automatic tumour growth prediction based segmentation using full resolution convolutional network for brain tumour 2022 (27)

Hate Speech & Offensive Language Detection Using ML &NLP 2022 (4)

 

 

 

 

Dariusz Mazurkiewicz | Engineering | Excellence in Research Award

Published on by Book of Award

Prof. Dariusz Mazurkiewicz | Engineering | Excellence in Research Award

Politechnika Lubelska | Poland

Author profile

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Early Academic Pursuits

Professor Dariusz Mazurkiewicz embarked on his academic journey by earning a Master’s degree in Mechanical Engineering from the Technical University of Lublin, Poland, in 1991. He further pursued his academic endeavors by completing his doctorate in technical sciences from the same university in 1997. His commitment to scholarly pursuits continued as he successfully passed the final habilitation procedure examination in technical sciences at the Technical University of Lublin in 2011. This foundation laid the groundwork for his illustrious career in academia and research.

Professional Endeavors

Professor Mazurkiewicz’s professional journey is marked by significant achievements and contributions in the fields of engineering and academia. Notably, he was bestowed with the prestigious title of full professor in technical and engineering sciences by the President of the Republic of Poland in 2022. Throughout his career, he has been actively involved in national and international research projects, contributing to advancements in areas such as digital twin technology, systems engineering, and reliability management. He has served as a keynote speaker at various esteemed conferences, sharing his expertise and insights with the global academic community.

Contributions and Research Focus

Professor Mazurkiewicz’s research focus spans a diverse range of topics, including digital twin-based fault prediction, process optimization, and reliability engineering. His pioneering work in developing innovative measurement technologies and digital data processing algorithms has garnered recognition and acclaim from peers worldwide. He has led numerous research projects aimed at enhancing the efficiency and reliability of production systems, thereby contributing to the advancement of industrial practices and technologies.

Accolades and Recognition

Professor Mazurkiewicz’s contributions to academia and research have been recognized through a multitude of awards and distinctions. He has been listed among the world’s top scientists by Stanford University and Elsevier, underscoring the impact of his scholarly endeavors. His research presentations and publications have received accolades such as the Best Paper Award at prestigious international conferences. Additionally, he has been honored by academic institutions and organizations for his outstanding scientific achievements and organizational contributions.

Impact and Influence

Professor Mazurkiewicz’s work has had a profound impact on the fields of engineering, reliability, and systems management. His research findings and innovative methodologies have not only advanced scientific knowledge but also contributed to practical applications in industry and academia. Through his leadership and mentorship, he has inspired future generations of researchers and scholars to pursue excellence in their respective domains, thereby fostering a culture of innovation and inquiry.

Legacy and Future Contributions

Professor Mazurkiewicz’s legacy is characterized by a steadfast commitment to excellence, innovation, and collaboration in research and academia. His continued efforts to push the boundaries of knowledge and technology are poised to shape the future of engineering and reliability sciences. As he continues to lead groundbreaking research initiatives and mentor aspiring scholars, his legacy will endure as a testament to his enduring dedication to advancing the frontiers of scientific inquiry and engineering excellence.

Notable Publications

Virtual tomography as a novel method for segmenting machining process phases with the use of machine learning-supported measurement 2024

Novel Approach to Prognostics and Health Management to Combine Reliability and Process Optimisation 2023

Production Process Stability: The Advantages of Going Beyond Qualitative Analysis 2023 (2)

Systems Engineering: Availability and Reliability 2022 (13)

Method for assessing the impact of rainfall depth on the stormwater volume in a sanitary sewage network 2021 (3)