Aymen saad | Energy Technologies | Best Researcher Award

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Mr. Aymen saad | Energy Technologies | Best Researcher Award

Lecturer | University of Technology Malaysia | Iraq

Mr. Aymen Saad is a dedicated academic and researcher in the field of computer and microelectronic systems engineering. He has established himself as an experienced lecturer at Al-Furat Al-Awsat Technical University, Kufa Management Technical College, where he has been contributing to education and research for many years. His work bridges theory and practice, with a strong interest in artificial intelligence and advanced computing systems. Alongside his teaching responsibilities, he has developed a reputation for impactful research, particularly in deep learning, machine learning, and biomedical image analysis, while maintaining a strong presence in international research communities.

Publication Profile

Scopus

ORCID

Google Scholar

Education Background

Mr. Aymen Saad began his academic journey by earning a bachelor’s degree in computer science from the Islamic University of Iraq. He later advanced his knowledge through a master’s degree in computer and microelectronics systems engineering at University of Technology Malaysia. Building on this foundation, he is currently pursuing his doctoral studies at the same institution, focusing on advanced applications of artificial intelligence and deep learning in computer vision and signal processing. His academic progression reflects a clear commitment to developing both technical expertise and research excellence in applied computer science and engineering fields.

Professional Experience

Mr. Aymen saad has served as a lecturer at Al-Furat Al-Awsat Technical University in Iraq, teaching within the Department of Information Technology Management. His professional career extends beyond teaching, as he actively engages in academic research and publications in reputed international outlets. With significant contributions in artificial intelligence applications, he has collaborated with researchers worldwide, presenting in conferences and publishing in peer-reviewed journals. He has also developed practical frameworks for disease detection, image enhancement, and pattern recognition, demonstrating the applied relevance of his work in solving modern engineering and healthcare challenges.

Awards and Honors

Throughout his academic journey, Mr. Aymen Saad has been recognized for his research contributions and teaching excellence. His growing h-index reflects the impact of his work in artificial intelligence and computer vision. His involvement in international conferences has earned him scholarly visibility and recognition, while his consistent publishing record in leading indexed journals highlights his dedication to advancing research in his field. Additionally, his professional profiles across platforms such as Google Scholar, ResearchGate, and Scopus emphasize his active participation and acknowledgment within the global academic community.

Research Focus

Mr. Aymen saad ’s research focuses on artificial intelligence, deep learning, and computer vision with applications across healthcare, security, and engineering systems. His studies span image and video processing, pattern recognition, optical character recognition, and medical image classification. He has contributed significantly to the development of robust models for cancer detection, COVID diagnostics, and brain tumor classification, as well as innovations in license plate recognition and fire detection. His current and future work aims to explore hybrid intelligent systems, bio-inspired algorithms, and advanced deep learning frameworks for solving real-world problems with greater efficiency and accuracy.

Publication Top Notes

Classification COVID-19 Based on Enhancement X-Ray Images and Low Complexity Model
Published Year: 2021
Citation: 56

Classification of Bird Sound Using High-and Low-Complexity Convolutional Neural Networks
Published Year: 2022
Citation: 42

An Optimized Deep Learning Approach for Robust Image Quality Classification
Published Year: 2023
Citation: 38

A Novel Deep Learning Approach for Brain Tumors Classification Using MRI Images
Published Year: 2023
Citation: 35

Automatic Vehicle License Plate Recognition Using Lightweight Deep Learning Approach
Published Year: 2023
Citation: 29

Conclusion

Mr. Aymen Saad is a skilled computer and microelectronic systems engineer, academic, and researcher with a strong background in artificial intelligence. His education, professional teaching experience, and extensive research portfolio reflect his dedication to both learning and sharing knowledge. With numerous publications, conference presentations, and ongoing projects, he continues to advance innovative solutions in medical diagnostics, intelligent systems, and computational modeling. His future research aspirations highlight his determination to contribute further to global knowledge in AI, ensuring that his work remains impactful in both academic and practical domains.

Asta Slotkiene | Code Security | Best Researcher Award

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Assoc. Prof. Dr. Asta Slotkiene | Code Security | Best Researcher Award

Associate Professor | Vilnius Gediminas Technical University | Lithuania

Assoc. Prof. Dr. Asta Slotkiene is a Lithuanian academic and researcher specializing in informatics engineering, software systems, and e-learning technologies. She has contributed significantly to the advancement of computer science education, software quality, and information systems through her teaching, research, and leadership roles. With extensive experience across universities and international projects, she has built a strong reputation for her innovative approaches in software engineering, smart learning objects, and artificial intelligence applications. Her work bridges both academic theory and applied research, emphasizing practical impact in technological development and educational practices.

Publication Profile

Scopus

ORCID

Google Scholar

Education Background

Assoc. Prof. Dr. Asta Slotkiene pursued her higher education in Lithuania, beginning with a Bachelor’s degree in Computer Science and Physics from Šiauliai University. She later continued at Kaunas University of Technology, where she completed a Master’s degree in Informatics Engineering, followed by a PhD in Technological Science with a focus on Informatics Engineering. Her academic journey laid a strong foundation for her interdisciplinary research, combining computer science, software engineering, and education. This comprehensive educational background equipped her with both technical expertise and research capacity to excel in teaching, project leadership, and scientific contributions across multiple domains.

Professional Experience

Throughout her professional career, Assoc. Prof. Dr. Asta Slotkiene has served in several leading academic and research positions. She began as a lecturer and researcher, later becoming Head of the E-Study Centre at Šiauliai University, where she pioneered digital learning initiatives. Her academic career progressed with her appointment as Associate Professor at Vilnius Gediminas Technical University, where she has been instrumental in developing courses on software engineering, information systems, and data analysis. She has collaborated on international research projects, engaged in global training programs, and shared her expertise in deep learning, artificial intelligence, and process automation. Her roles combine teaching, research, and academic leadership.

Awards and Honors

Assoc. Prof. Dr. Asta Slotkiene’s academic recognition stems from her active participation in European Union-funded projects and prestigious training programs. She has been involved in Erasmus, Tempus, and Horizon Europe initiatives, which have advanced her professional standing and visibility in the global research community. She has received grants to support innovation in software systems, employability skills, and smart interconnected systems. Through these achievements, she has been acknowledged as a dedicated researcher and educator who actively contributes to both local and international academic communities. Her invitations to international conferences and schools further highlight her recognition in the field.

Research Focus

Her research interests span across software engineering, quality modeling, smart learning objects, data analysis, and artificial intelligence in system development. She has developed innovative approaches in contextual modeling, e-learning systems, and web service quality assessment. Assoc. Prof. Dr. Asta Slotkiene’s publications emphasize multi-label text classification, sentiment analysis, phishing taxonomy, and AI-driven automation in software processes. Her collaborative projects explore rapid application development, smart secure systems, and digital transformation, connecting both academic research and industry applications. She focuses on advancing intelligent systems for education and business, with a strong commitment to enhancing the usability, efficiency, and security of modern technologies.

Publication Notes

  • Identification of software quality attributes from code defect prediction: a systematic literature review
    Published Year: 2024
    Citation: 2

  • On the development of the web service quality modelling space
    Published Year: 2023
    Citation: 6

  • A combined approach for multi-label text data classification
    Published Year: 2022
    Citation: 11

  • Financial context news sentiment analysis for the Lithuanian language
    Published Year: 2021
    Citation: 9

  • Reducing WCET Overestimations in Multi-Thread Loops with Critical Section Usage
    Published Year: 2021
    Citation: 7

Conclusion

Assoc. Prof. Dr. Asta Slotkiene represents a distinguished academic professional in informatics engineering, software development, and digital learning innovation. Her academic background, coupled with extensive teaching and research experience, has enabled her to make impactful contributions to both Lithuanian and international scientific communities. Her dedication to advancing software systems and AI-driven applications continues to inspire new methodologies in computer science education and applied research. With a portfolio of impactful projects, influential publications, and active participation in international collaborations, she stands as a committed scholar shaping the future of digital transformation and software engineering practices.

Hsin-Yuan Chen | Computer Science | Best Researcher Award

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Prof. Hsin-Yuan Chen | Computer Science | Best Researcher Award

Zhejiang University | China

Prof. Hsin-Yuan Chen is a distinguished scholar and technology leader known for his extensive contributions to artificial intelligence, robotics, and digital technology innovation. He currently serves as the Changjiang Scholar Professor and Director at Zhejiang University’s Institute of Wenzhou, Center of Digital Technology Entrepreneurship and Innovation in China, as well as Adjunct Distinguished Professor at Patil University in India. With an academic and professional journey spanning universities, research institutes, and top technology companies, Prof. Chen has built a reputation for pioneering research, impactful industry collaborations, and leadership in advancing global technology ecosystems.

Publication Profile

Scopus

ORCID

Education Background

Prof. Hsin-Yuan Chen pursued his academic studies at National Cheng Kung University, where he earned both his Bachelor’s and Ph.D. degrees in Aerospace Engineering, completing his doctoral program directly after undergraduate study. His rigorous academic foundation combined with a strong focus on applied research shaped his career path, enabling him to bridge advanced engineering knowledge with emerging fields like artificial intelligence and big data. His educational achievements not only established him as a capable researcher but also laid the groundwork for his future endeavors in academia, technology innovation, and international collaborations across multiple institutions and disciplines.

Professional Experience

Prof. Hsin-Yuan Chen has held numerous leadership and academic roles across diverse sectors. He served as Dean and Professor at Fujian Normal University’s School of Big Data and Artificial Intelligence, and also held CTO positions at GEOSAT Technology and Mobiletron Electronics, leading artificial intelligence applications in industry. His early career included academic appointments at Feng Chia University and National Taiwan Ocean University, alongside international experience as Visiting Professor at Washington University in St. Louis. Additionally, he contributed to public service as a Patent Examiner at the Intellectual Property Office and worked with Delta Electronics as Technical Advisor, balancing academia with industrial innovation.

Awards and Honors

Prof. Hsin-Yuan Chen has been widely recognized with prestigious national and international awards. His accolades include the ScienceFather International Outstanding Scientist Award, the Electronics Best Paper Award, and fellowship honors from IET and ASEAN. He has also received multiple innovation and creativity awards for projects in virtual reality, artificial intelligence, and cloud technology, particularly in digital cultural heritage applications. Earlier distinctions include the Global Top Hundred Engineers Medal, Youth Medal of the Republic of China, and recognition as one of the Top Ten Outstanding Young Women in the Republic of China. His achievements highlight his dedication to research, teaching, and technological innovation.

Research Focus

Prof. Hsin-Yuan Chen’s research primarily spans artificial intelligence, robotics, big data, digital innovation, and human-centered computing. He has extensively explored AI applications in fields such as healthcare, education, and cultural heritage digitalization. His work includes developing hybrid positioning systems, AI-driven recognition technologies, and bibliometric studies in AI applications. He has also focused on advancing industry-academia collaboration and integrating emerging technologies like VR, AR, and IoT into practical solutions. Through his contributions, Prof. Chen has advanced both theoretical research and applied science, strengthening connections between innovation, entrepreneurship, and real-world societal impact in the digital era.

Publication Notes

  1. Evaluating Machine Learning Algorithms for Alzheimer’s Detection: A Comprehensive Analysis
    Published Year: 2025
    Citation: 1

  2. Impact of Industry-Academia Collaboration in Engineering Education: A Case Study
    Published Year: 2025
    Citation: 3

  3. Recursive Queried Frequent Patterns Algorithm: Determining Frequent Pattern Sets from Database
    Published Year: 2025
    Citation: 2

  4. Mapping the Evolution: A Bibliometric Analysis of Employee Engagement and Performance in the Age of AI-Based Solutions
    Published Year: 2025
    Citation: 1

  5. Advancements in Handwritten Devanagari Character Recognition: A Study on Transfer Learning and VGG16 Algorithm
    Published Year: 2024
    Citation: 1

Conclusion

Prof. Hsin-Yuan Chen’s career exemplifies the synergy between academic excellence and industrial innovation. With a solid foundation in aerospace engineering, he has consistently expanded his expertise into artificial intelligence, robotics, and digital transformation. His leadership roles across universities, research institutions, and technology enterprises demonstrate his global influence, while his awards reflect recognition for outstanding achievements in both research and practice. As an educator, innovator, and scientist, Prof. Chen continues to inspire through his contributions to emerging technologies and his efforts in building bridges between academia and industry to shape the future of digital transformation.

Xiaofeng Ding | Predictive Analytics | Best Researcher Award

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Mr. Xiaofeng Ding | Predictive Analytics | Best Researcher Award

Graduate student | Guangdong University of Technology | China

Mr. Xiaofeng Ding is a graduate student at the School of Ecological Environment and Resources, Guangdong University of Technology, specializing in environmental engineering with a focus on advanced computational modeling. His work integrates machine learning and deep learning techniques to solve pressing environmental challenges, particularly in hydrology and water quality prediction. By combining technical expertise in Python, MATLAB, and predictive analytics, he has contributed significantly to the field of ecological research. His academic efforts aim to create sustainable solutions that support ecological security and resource management, while advancing innovative applications of artificial intelligence in environmental sciences.

Publication Profile

ORCID

Education Background

Mr. Xiaofeng Ding is currently pursuing his Master’s degree in environmental engineering at Guangdong University of Technology. His academic journey is marked by a strong commitment to applying computational techniques in environmental studies. Through his training, he has gained expertise in data-driven modeling, hydrological simulations, and predictive systems for water quality monitoring. His education has been enriched by active involvement in advanced research projects and scientific collaborations, enabling him to integrate interdisciplinary knowledge. With this foundation, he has developed the skills to bridge engineering principles with environmental applications, fostering innovation in sustainable resource management and scientific problem-solving.

Professional Experience

Mr. Xiaofeng Ding has been actively engaged in research and innovation as a graduate student, contributing to scientific projects supported by major funding bodies, including the National Natural Science Foundation of China and the Guangdong Provincial Science Foundation. His experience involves leading computational modeling research, particularly on water quality prediction systems using hybrid deep learning approaches. He has collaborated closely with faculty members and peers, contributing to impactful publications in high-quality indexed journals. His professional path reflects both academic dedication and practical application of his expertise in machine learning, making him a valuable contributor to environmental engineering research.

Awards and Honors

Mr. Xiaofeng Ding’s academic career has been distinguished through recognition in the form of funded research projects and scholarly achievements. His innovative study on water quality prediction was published in the journal MDPI Water, showcasing his capacity to contribute novel methodologies to environmental science. Additionally, he has worked on projects supported by competitive grants, such as the Natural Science Foundation of Guangdong Province and the National Natural Science Foundation of China. These research opportunities and publications reflect his standing as an emerging researcher in his field, highlighting his strong academic foundation and growing recognition in environmental studies.

Research Focus

Mr. Xiaofeng Ding’s research centers on the intersection of environmental engineering and artificial intelligence, particularly in developing advanced machine learning and deep learning models for hydrology and water quality prediction. He has pioneered the use of hybrid architectures such as NGO-CNN-GRU to address time series forecasting in river basins, improving the accuracy of water quality monitoring systems. His work provides practical applications for ecological management and sustainability, contributing to early warning systems for environmental degradation. By integrating computational innovation with ecological research, his research plays a crucial role in addressing challenges related to environmental sustainability and resource conservation.

Publication Top Notes

  • Title: Time Series Prediction of Water Quality Based on NGO-CNN-GRU Model—A Case Study of Xijiang River, China
    Published Year: 2025
    Citation: 1

Conclusion

Through his dedication to applying computational tools in environmental sciences,Mr. Xiaofeng Ding has demonstrated a strong capability in advancing ecological research with practical societal benefits. His work in predictive modeling for water quality provides innovative frameworks that improve monitoring and management of river ecosystems. With published research and active collaborations, he has established himself as a promising scholar at the intersection of artificial intelligence and environmental engineering. His journey reflects both academic excellence and practical impact, positioning him as a strong candidate for recognition in scientific awards, particularly in the areas of machine learning and environmental sustainability.

Liang Li | Robot System | Best Researcher Award

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Dr. Liang Li | Robot System | Best Researcher Award

Academic Leader of the Key Laboratory | Baoji University of Arts and Sciences | China

Dr. Li Liang is an academic scholar affiliated with the Baoji University of Arts and Sciences in Baoji, China. He has contributed to the fields of mechanical engineering, composite materials, robotics, and intelligent manufacturing through a consistent body of research. His publications demonstrate expertise in process modeling, knowledge graph construction, and optimization techniques for robotic systems. With an active research profile indexed in Scopus, Li Liang has achieved recognition with multiple works cited internationally. His academic career reflects a dedication to advancing modern manufacturing technologies and their integration with artificial intelligence methods in industrial applications.

Publication Profile

Scopus

Education Background

Dr. Li Liang pursued his higher education in engineering disciplines, developing a strong foundation in mechanical sciences and computational techniques. His academic training emphasized advanced mechanics, material science, and intelligent control systems, which enabled him to engage with cross-disciplinary research in automation and industrial technologies. Through rigorous study and research training, he cultivated proficiency in analytical methods and modern computational tools. His education was centered on building both theoretical and practical expertise, allowing him to contribute effectively to innovative solutions in machining processes, robotic trajectory optimization, and composite structural analysis across applied engineering fields.

Professional Experience

As an Associate faculty member at Baoji University of Arts and Sciences, Dr. Li Liang has actively participated in teaching, research, and collaborative projects. His professional experience spans guiding students, publishing scholarly works, and engaging in joint research efforts with national and international colleagues. He has authored and co-authored numerous papers, focusing on numerical modeling, intelligent robotics, and advanced materials. His contributions also extend to integrating artificial intelligence approaches with traditional engineering processes. In addition, he has built professional collaborations with more than thirty co-authors, reflecting his ability to work in team-driven scientific environments that promote applied industrial innovations.

Awards and Honors

While specific awards and grants are not publicly listed, Dr. Li Liang has earned academic recognition through consistent citations of his research and scholarly contributions. His studies published in reputable open-access journals such as Electronics and Processes have contributed to the international research community, further solidifying his academic standing. The impact of his work, reflected in increasing citations and collaborations, signifies recognition of his scholarly achievements. His commitment to advancing research on machining knowledge graphs, composite mechanics, and robotic arm optimization highlights his academic merit and serves as a foundation for future honors and acknowledgments.

Research Focus

Dr. Li Liang’s primary research interests lie in mechanical engineering, intelligent manufacturing, composite materials, and robotics. His recent works have explored the construction of machining process knowledge graphs for route recommendations, numerical analysis of advanced braided composites, and reinforcement learning optimization for robotic grasping. These areas collectively showcase his interdisciplinary focus, combining computational intelligence with mechanical design. By addressing challenges in trajectory planning, process optimization, and structural performance, his research contributes to advancing both theoretical insights and industrial applications. His focus is on creating smart, adaptive systems that bridge materials science, artificial intelligence, and industrial engineering.

Publication Top Notes

  • Construction of a Machining Process Knowledge Graph and Its Application in Process Route Recommendation
    Published Year: 2025
    Citation: 1

  • Numerical Analysis on Mechanical Properties of 3D Five-Directional Circular Braided Composites
    Published Year: 2025
    Citation: 1

  • Improved PPO Optimization for Robotic Arm Grasping Trajectory Planning and Real-Robot Migration
    Published Year: Not listed
    Citation: 1

Conclusion

Through his academic journey, Dr. Li Liang has built a strong reputation as a researcher contributing to intelligent manufacturing and computational engineering. His publications demonstrate expertise across multiple technical domains, and his collaborative work highlights his adaptability and scholarly engagement. With a growing number of citations and impactful studies, his career reflects both innovation and academic integrity. His dedication to teaching and research at Baoji University of Arts and Sciences ensures that his contributions will continue to influence the development of advanced robotic systems, material analysis, and smart manufacturing processes in both academic and applied industrial contexts.

Anna Vatsanidou | Climate Simulation | Best Researcher Award

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Assist. Prof. Dr. Anna Vatsanidou | Climate Simulation | Best Researcher Award

Assistant Professor | National Kapodistrian University Athens | Greece

Assist. Prof. Dr. Anna Vatsanidou is an Assistant Professor at the Department of Agricultural Development, Agri-food and Natural Resources Management of the National and Kapodistrian University of Athens. She is a highly skilled agriculturist with expertise in integrated agricultural production systems and environmental assessment. Over the years, she has significantly contributed to the advancement of sustainable agriculture and environmental impact studies in the agri-food sector. With active involvement in multiple international and national projects, she has established herself as a prominent researcher and educator dedicated to promoting sustainable agricultural development and innovative farming practices.

Publication Profile

Scopus

ORCID

Google Scholar

Education Background

Assist. Prof. Dr. Anna Vatsanidou pursued her academic journey in agriculture and environmental sciences with strong dedication. She earned her MSc in integrated agricultural production systems, which gave her a solid foundation in advanced farming methods. She later obtained her PhD in Environmental Assessment from the Department of Agriculture, Crop Production and Rural Environment at the University of Thessaly. This academic background equipped her with a strong interdisciplinary understanding, combining agricultural sciences with environmental sustainability approaches, and prepared her for impactful research in precision agriculture and life cycle assessment methods in the agri-food sector.

Professional Experience

Assist. Prof. Dr. Anna Vatsanidou has accumulated diverse professional experience across academia, research institutions, and applied agricultural practice. She worked as a PhD Researcher at the National Center for Research and Technological Development, focusing on environmental impact assessment in the agri-food sector. Additionally, she served as an external research fellow at the Agricultural University of Athens and the University of Thessaly. Her career also includes roles as an agronomist in public organizations, private institutions, and as a project manager at the Benaki Phytopathological Institute, where she coordinated national and European research projects contributing to agricultural innovation and sustainability.

Awards and Honors

Throughout her career, Assist. Prof. Dr. Anna Vatsanidou has been recognized for her significant involvement in prestigious research collaborations and competitive project initiatives. She has participated in several European projects under programs such as Interreg-MED, and PRIMA. Her contributions to projects like FutureFarm, RoboFarm, PEFMED, PoliRural, Organic Plus, and SmartOliveGrove reflect her recognized expertise and collaborative leadership. Nationally, she has also been part of cutting-edge initiatives like SmartPeach and InsectFeedAroma. Her role in securing and managing such projects stands as an acknowledgment of her professional achievements in agricultural research and sustainable innovation.

Research Focus

The primary research focus of Assist. Prof. Dr. Anna Vatsanidou centers on sustainable agriculture, precision farming, and environmental impact evaluation. She specializes in the use of life cycle assessment (LCA) for analyzing the environmental footprint across the agri-food production and processing chain. Her work extends to the development of precision agriculture techniques, environmentally friendly pest control solutions, and innovative production systems aligned with climate resilience and sustainability goals. By bridging technological advancement with ecological responsibility, her research supports both academic progress and practical agricultural transformation toward greener and more efficient production systems.

Publication Top Notes

  • Real-time freshness prediction for Apples and Lettuces using imaging recognition and advanced algorithms in a user-friendly mobile application
    Published Year: 2025
    Citation: 1

  • Cybersecurity threats and mitigation measures in agriculture 4.0 and 5.0
    Published Year: 2024
    Citation: 10

  • Precision farming technologies on crop protection: A stakeholders survey
    Published Year: 2023
    Citation: 35

  • Precision farming technologies for crop protection: A meta-analysis
    Published Year: 2023
    Citation: 40

  • Environmental Impact Assessment of Emission Reduction Technologies
    Published Year: 2023
    Citation: 20

Conclusion

Assist. Prof. Dr. Anna Vatsanidou is a dedicated academic and researcher committed to advancing sustainable agriculture, environmental assessment, and precision farming. Her academic foundation, diverse professional background, and extensive participation in international research projects highlight her expertise and impact in the agri-food sector. Through her innovative research approaches and contributions to European and national initiatives, she continues to play an influential role in shaping the future of sustainable agricultural practices and environmental management. Her career represents a strong blend of science, practice, and policy integration for agricultural development.

Jiangling Wang | Medical Informatics | Best Researcher Award

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Prof. Jiangling Wang | Medical Informatics | Best Researcher Award

Doctor | Zhejiang Cancer Hospital | China

Prof. Jiangling Wang is a highly accomplished anesthesiologist and clinical researcher specializing in perioperative medicine, pain management, and oncology-related anesthesia practices. With extensive experience at Zhejiang Cancer Hospital, he has advanced from resident doctor to associate chief physician, demonstrating strong dedication to both patient care and academic research. His expertise bridges clinical anesthesiology and molecular medicine, reflecting a career deeply rooted in translational research. Dr. Wang has also gained international exposure through visiting scholar roles, enhancing his ability to integrate global perspectives into his clinical and research work, and contributing significantly to patient safety and outcomes in cancer-related surgeries.

Publication Profile

Scopus

Education Background

Prof. Jiangling Wang pursued a bachelor’s degree in Clinical Medicine at China Three Gorges University, where he developed his foundation in medical sciences and clinical practice. He continued his academic path by earning a master’s degree in Oncology at HuaZhong University of Science and Technology, gaining knowledge of tumor biology and treatment. To advance his expertise in anesthesia, he enrolled at Zhejiang University for doctoral studies in Anesthesiology, focusing on perioperative care in oncology patients. His educational journey reflects a strong combination of basic medical training, specialization in oncology, and advanced anesthesiology studies, shaping his profile as a physician-scientist with clinical and research depth.

Professional Experience

Prof. Jiangling Wang has accumulated extensive professional experience at Zhejiang Cancer Hospital, beginning his clinical career as a resident doctor in anesthesiology where he developed his practical skills in perioperative care. He later advanced to attending doctor, where he took on increased responsibilities in managing complex cases, supervising junior colleagues, and refining his expertise in cancer-related anesthesia procedures. Currently serving as an associate chief physician, he plays a key role in patient care, departmental leadership, and clinical research integration. Additionally, his visiting scholar experience at the University of Virginia broadened his international outlook, further strengthening his academic and clinical contributions.

Awards and Honors

Throughout his career, Prof. Jiangling Wang has earned recognition for his contributions to anesthesiology and cancer pain management, supported by his progression into leadership roles at Zhejiang Cancer Hospital. His visiting scholar appointment at the University of Virginia stands as an academic honor, reflecting the value of his research capabilities on an international platform. His published works in high-impact journals represent scholarly achievement and acknowledgment within the medical community. While his career is marked more by clinical and research excellence than formal awards, his trajectory reflects consistent professional recognition and trust, which can be seen in his promotion to senior medical leadership.

Research Focus

Prof. Jiangling Wang’s research focus integrates anesthesiology with oncology and perioperative medicine, aiming to optimize surgical outcomes, pain control, and patient safety. His investigations explore advanced anesthesia techniques, oxygenation strategies, sedation practices, and the impact of anesthesia on cancer progression and survival. He has also contributed to experimental neuroscience, examining stress and anxiety mechanisms through animal models. His molecular biology background supports translational research in cancer and anesthesia pathways. By combining laboratory and clinical expertise, his research addresses fundamental biomedical questions while providing practical improvements for patient care in high-risk surgical and cancer-related interventions.

Publication Top Notes

  • Efficacy of thoracic paravertebral block with liposomal bupivacaine for postoperative analgesia in patients undergoing liver resection: A randomized controlled trial
    Published Year: 2025
    Citation: 2

  • High-flow nasal cannula oxygenation reduces desaturation during percutaneous radiofrequency ablation under moderate sedation
    Published Year: 2025
    Citation: 1

  • Propofol EC50 for inducing loss of consciousness in patients under combined epidural-general anesthesia or general anesthesia alone: a randomized double-blind study
    Published Year: 2023
    Citation: 5

  • Incidence of oxygen desaturation using a high-flow nasal cannula versus a facemask during flexible bronchoscopy in patients at risk of hypoxemia: A randomised controlled trial
    Published Year: 2022
    Citation: 12

  • Whisker trimming induces anti-anxiety like status via activation of dorsomedial hypothalamus nucleus in mice
    Published Year: 2022
    Citation: 8

Conclusion

Prof. Jiangling Wang represents a model physician-scientist who has successfully integrated clinical anesthesiology practice with impactful biomedical research. His education and career path demonstrate a clear focus on advancing anesthesiology in the context of oncology, supported by international collaboration and strong publication records. With advanced skills in molecular biology and anesthetic techniques, he continues to contribute to the development of innovative strategies that improve patient outcomes. His progression into leadership at Zhejiang Cancer Hospital reflects not only clinical competence but also his role as a mentor, researcher, and innovator, with continued promise for future contributions to the medical field.

Masafumi Nishida | Speech Processing | Best Researcher Award

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Prof. Masafumi Nishida | Speech Processing | Best Researcher Award

Professor | Shizuoka University | Japan

Prof. Masafumi Nishida, Ph.D., is a distinguished professor in the Faculty of Informatics at Shizuoka University, Japan. With an extensive academic career spanning multiple leading institutions, he has established himself as a leading figure in the areas of speech information processing, behavioral signal analysis, and well-being informatics. His scholarly contributions reflect a strong commitment to advancing human-centered technologies that improve quality of life. Over the years, his innovative research has been recognized with multiple prestigious awards, reflecting both academic excellence and applied relevance. He continues to mentor students, collaborate internationally, and contribute to the growth of information science.

Publication Profile

Scopus

ORCID

Education Background

Prof. Masafumi Nishida pursued his academic journey in Electronics and Information Science at Ryukoku University, Japan, where he completed his Bachelor’s, Master’s, and Doctoral degrees. His doctoral research established a strong foundation in information and electronic sciences, providing him with the expertise to address complex challenges in speech and signal processing. This strong educational background enabled him to bridge theory with practical applications in information systems. His years of rigorous academic training shaped his ability to develop innovative approaches to speech recognition, user behavior analysis, and intelligent systems, setting the stage for his successful academic and research career in Japan.

Professional Experience

Prof. Masafumi Nishida has held notable positions across several leading Japanese universities, contributing significantly to both research and teaching. He began his postdoctoral work at Kyoto University, advancing into assistant and associate professorships at Chiba and Doshisha University, where he broadened his research scope. Later, he contributed as a project associate professor at Nagoya University before joining Shizuoka University, where he has grown into a leading faculty member. His professional journey highlights a consistent progression through academic excellence, leadership in research projects, and the mentorship of future scholars, positioning him as a key academic in the field of informatics and applied information sciences.

Awards and Honors

Throughout his academic career, Prof. Masafumi Nishida has earned several prestigious awards that highlight his contributions to research and innovation. His work was honored with the Excellent Poster Award at the IEEE Global Conference on Consumer Electronics, showcasing his relevance in global research forums. The Yamaha Award recognized his impactful contributions to accessibility and inclusive information technologies, while the Yamashita Memorial Research Award highlighted his excellence in early-career research. Additionally, his recognition with a Best Paper Award at the Oriental COCOSDA conference reinforced his influence in speech and language technology research. Collectively, these honors underscore his academic excellence.

Research Focus

The core of Prof. Masafumi Nishida’s research lies in advancing speech information processing, with a particular interest in behavioral signal processing and well-being informatics. His work focuses on how speech and acoustic signals can be integrated into systems that analyze human behavior, enhance accessibility, and support human health and wellness. His research incorporates cutting-edge approaches in artificial intelligence, deep learning, and signal processing to build systems that recognize patterns in speech and behavior. This focus aligns with a broader goal of using technology for social good, ensuring that computational methods contribute meaningfully to improving human life in modern societies.

Publication Notes

Simultaneous Speech and Eating Behavior Recognition Using Data Augmentation and Two-Stage Fine-Tuning
Published Year: 2025
Citation: 2

Hate Speech Detection by Using Rationales for Judging Sarcasm
Published Year: 2024
Citation: 5

Information-Gathering Dialog System Using Acoustic Features and User’s Motivation
Published Year: 2023
Citation: 7

Conclusion

Prof. Masafumi Nishida stands as a highly respected researcher and educator whose academic journey demonstrates dedication, innovation, and leadership in informatics. His extensive education, combined with significant teaching and research experiences, has positioned him as a leading authority in speech and behavioral signal processing. His recognized achievements and awards further reflect his influence in shaping the direction of information sciences, especially with human-centric applications. With an unwavering focus on improving well-being through advanced computational methods, he continues to contribute significantly to both academic scholarship and applied research, shaping the future of information science globally.

Desmond Maada kangbai | Health Informatics | Best Researcher Award

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Dr. Desmond Maada kangbai | Health Informatics | Best Researcher Award

Programme Manager | Njala University | Sierra Leone

Dr. Desmond Maada Kangbai is a Sierra Leonean medical doctor and public health professional with expertise in field epidemiology and disease control. He currently serves as the District Medical Officer for Kailahun District, where he leads health system strengthening, disease surveillance, outbreak response, and community health interventions. With over a decade of medical and public health experience, he has played pivotal roles in managing infectious disease outbreaks, including Ebola and COVID. His leadership in health service delivery, medical research, and policy implementation highlights his dedication to improving healthcare access and outcomes in Sierra Leone.

Publication Profile

Scopus

ORCID

Education Background

Dr. Desmond Maada kangbai’s academic journey reflects a strong foundation in both medicine and public health. He obtained his Doctor of Medicine degree from the University of Medical Sciences in Santa Clara, Cuba, after completing pre-medical studies at the University of Sierra Leone. He pursued advanced epidemiology and disease control training at the University of Ghana, gaining both MPhil and Field Epidemiology Laboratory Training Program certification. He further enhanced his skills with an MPH from Njala University and specialized courses across Africa, including infection prevention, health facility management, and HIV/AIDS epidemiology. This combination of medical and epidemiological training shapes his expertise in public health.

Professional Experience

Throughout his career, Dr. Desmond Maada kangbai has held critical leadership and clinical positions within Sierra Leone’s health system. He currently serves as District Medical Officer in Kailahun, overseeing district-wide health planning, surveillance, maternal and child health programs, and epidemic preparedness. He has also served as a medical superintendent, associate lecturer at Njala University, and project officer with the International Organization for Migration, where he supported border health system strengthening after the Ebola crisis. His earlier medical practice includes roles as a medical officer and house officer in surgery, pediatrics, internal medicine, and obstetrics. His career demonstrates a blend of clinical service, academic mentorship, and public health leadership.

Awards and Honors

Dr. Desmond Maada kangbai has earned recognition for his commitment to public health service and research. He has presented at major international conferences, including the International Epidemiological Conference in Mozambique and the GFELTP Scientific Conference in Ghana, where his work on maternal health and surveillance was acknowledged. His role as a technical lead in Sierra Leone’s COVID response, as well as his leadership in vaccination campaigns and epidemic preparedness, has been widely recognized by health authorities and international partners. These achievements highlight his standing as a respected figure in Sierra Leone’s medical and epidemiological community.

Research Focus

Dr. Desmond Maada kangbai’s research focus centers on infectious disease epidemiology, immunization safety, maternal health systems, and surgical outcomes in resource-limited settings. He has contributed to peer-reviewed publications addressing adverse events following immunization with novel oral polio vaccines, outbreak responses, and orthopedic surgical outcomes. His work highlights the practical challenges and opportunities in health systems of low-income countries, particularly in Sierra Leone. By blending clinical practice with epidemiological research, he provides evidence-based insights that influence public health decision-making and international health policy, making his contributions vital to both local and global health improvement.

Publication Top Notes

  • Circulating Vaccine-Derived Poliovirus Type 2 (cVDPV2) Outbreak Response With Novel Oral Poliovirus Vaccine Type 2 (nOPV2), Sierra Leone’s Experience
    Published Year: 2025
    Citation: 1

  • Adverse Events Following Immunization with Novel Oral Polio Vaccine Type 2, and the Experience and Challenges of Reporting in Sierra Leone [Response to Letter]
    Published Year: 2024
    Citation: 3

  • Adverse Events Following Immunization with Novel Oral Polio Vaccine Type 2, and the Experience and Challenges of Reporting in Sierra Leone
    Published Year: 2024
    Citation: 5

  • Evaluation of the treatment outcome of tibia shaft fracture by close reduction and internal fixation with interlocking intramedullary nail, Freetown, Sierra Leone
    Published Year: 2023
    Citation: 2

Conclusion

Dr. Desmond Maada Kangbai is a committed physician, epidemiologist, and academic whose professional journey reflects a balance of clinical expertise, public health leadership, and impactful research. From managing Ebola patients at the peak of the epidemic to leading district-wide COVID response efforts, his career demonstrates resilience, leadership, and dedication to healthcare improvement. His academic contributions, teaching roles, and publications further reinforce his influence as both a practitioner and scholar. As Sierra Leone continues to strengthen its health system, Dr. Kangbai’s experience and research will remain integral to advancing public health outcomes and shaping effective epidemic preparedness strategies.

Gandluri Parameswarreddy | Advanced Materials | Best Researcher Award

Published on by Computer Scientists Awards

Dr. Gandluri Parameswarreddy | Advanced Materials | Best Researcher Award

Indian Institute Of Technology Madras | India

Dr. Gandluri Parameswarreddy is a dedicated researcher in the field of electrical engineering, specializing in high voltage engineering and electromagnetic interference shielding technologies. He is currently pursuing his doctoral research at the Indian Institute of Technology Madras, where his work focuses on developing advanced polymer nanocomposites for EMI shielding and aerospace applications. With over a decade of combined academic and research experience, he has established expertise in high voltage laboratory techniques, composite materials, and plasma-based disinfection systems. His passion lies in applying interdisciplinary approaches to address technological challenges in electrical engineering, materials science, and applied energy systems.

Publication Profile

Scopus

ORCID

Education Background

He has built a strong academic foundation through his educational journey in electrical engineering. He is pursuing his Ph.D. at the Indian Institute of Technology Madras in high voltage engineering, with a focus on EMI shielding using conductive nanofillers in composites. Before this, he completed his Master of Technology in electrical engineering at the National Institute of Technology Calicut, where he worked on non-thermal plasma reactor design and optimization for sterilization. His undergraduate studies were in electrical and electronics engineering at Sree Vidyanikethan Engineering College, and he began his technical career with a diploma in the same field from Sri Venkateswara Government Polytechnic College.

Professional Experience

His professional career reflects a balance between research, teaching, and practical industry exposure. At IIT Madras, he is a research scholar and teaching assistant, contributing to both advanced research in high voltage laboratories and guiding undergraduate students in electromagnetics and machine laboratories. He also contributed as a workshop instructor, training school teachers in electronics and microcontroller applications. Prior to this, his research at NIT Calicut centered on plasma reactor systems for disinfection applications. He also gained early industrial exposure as an intern at APSPDCL, where he worked in power distribution substations, strengthening his practical knowledge of high voltage equipment and systems.

Awards and Honors

Throughout his career, he has been recognized for his academic and teaching contributions. He received the Teaching Assistant Recognition Award for his dedication to mentoring and guiding students during his doctoral studies. He secured funding under the Nidhi Prayaas Scheme of the Government of India for developing plasma-based sterilization products, showcasing his innovative approach to applied research. His academic achievements were further supported through fellowships awarded by the Government of India during his postgraduate and doctoral studies. These awards and recognitions reflect his consistent excellence in both technical research and teaching responsibilities.

Research Focus

His research interests primarily revolve around high voltage engineering, electromagnetic interference shielding, and nanocomposite materials. At IIT Madras, his doctoral work explores enhanced EMI shielding in X, Ku, and K bands using conductive fillers integrated into polymer composites, with applications in aerospace and communication systems. His work also investigates the impact of lightning currents on composite materials and the use of nanofillers for improving thermal and electrical performance. Earlier, his master’s research involved designing non-thermal plasma reactors for sterilization applications, integrating electrical engineering with microbiology and environmental sciences, thereby highlighting his interdisciplinary research approach.

Publications Top Notes

  • Conductive Filler-Loaded PVDF and Pristine PVDF-Layered Composite for EMI Shielding and as Piezoelectric Sensor
    Published Year: 2025
    Citation: 2

  • Magnetic Field-Induced Alignment of Graphene Nanoplatelets in Carbon Fiber-Silicone Rubber Composites for Superior EMI Shielding and Thermal Conductivity
    Published Year: 2025
    Citation: 1

  • Enhanced electromagnetic shielding and thermal performance of GNP and boron nitride infused carbon fiber/PDMS composites through magnetic field-induced GNP alignment
    Published Year: 2025
    Citation: 1

  • Understanding the Lightning Impulse Current Impact on CFRP Epoxy Nanocomposite by Adopting Optical Emission Spectroscopy
    Published Year: 2024
    Citation: 3

  • Electromagnetic shielding effectiveness of silver-coated hollow glass microsphere-graded short carbon fiber epoxy composite
    Published Year: 2024
    Citation: 2

Conclusion

 Dr. Gandluri Parameswarreddy is an emerging researcher whose academic excellence and research outputs are making meaningful contributions to high voltage engineering and advanced material technologies. His journey reflects a blend of strong academic training, impactful research, and recognized teaching contributions. With multiple publications in reputed international journals and experience in both applied and interdisciplinary research, he continues to contribute toward solving challenges in EMI shielding, plasma-based disinfection, and nanocomposite development. His dedication to innovation, practical applications, and academic excellence positions him as a promising contributor to engineering research and development.