Dr. Ashkan Tashk | Applied AI | Excellence Award (Any Scientific field)

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Dr. Ashkan Tashk | Applied AI | Excellence Award (Any Scientific field)

postdoc, Technical University of Denmark.

Dr. Ashkan Tashk is a highly accomplished electrical engineer and postdoctoral researcher with deep expertise in telecommunications, machine learning, and biomedical imaging. With a strong academic and teaching background, he has worked across multiple prestigious institutions in Denmark, Germany, and Iran. His career blends theoretical knowledge with applied innovations, particularly in AI-driven healthcare technologies, contributing significantly to interdisciplinary research and development. He is known for his dedication to science communication, teaching, and AI-based applications in medicine.

Publication Profile

Google scholar

🎓 Education Background:

Ashkan Tashk received his Ph.D. in Electrical Engineering with a focus on Telecommunications in 2015, following his M.Sc. (2010) and B.Sc. (2006) in the same field. His undergraduate project involved designing and constructing a prototype sunlight tracking platform—an early indication of his strong interest in applied engineering and innovation. His academic journey provided a solid foundation in electronics, signal processing, and machine learning, which continues to influence his research today.

💼 Professional Experience:

Dr. Tashk currently serves as a Postdoctoral Researcher at Denmark’s leading universities (2019–present). Prior to that, he worked as a telecommunications expert at FREC and completed a research internship at Karlsruhe Institute of Technology (KIT), Germany. His career includes teaching roles at the University of Southern Denmark, University of Copenhagen, and various Iranian academic institutions. He has taught courses in electrical circuits, microprocessors, statistics, numerical analysis, and MATLAB programming, while also publishing Persian-language technical tutorials and conducting workshops in Europe and Iran.

🏆 Awards and Honors:

Dr. Ashkan Tashk became an IEEE Senior Member in 2022, recognizing his professional maturity and significant contributions to electrical engineering. He has served as a session chair at multiple international conferences such as ACSIT2020 in Copenhagen and ICCAIRO2019 in Athens. He has also completed prestigious programs like the “Science Communication” course by the Royal Danish Academy of Sciences and Letters and the RCR workshop at the University of Copenhagen, demonstrating his commitment to ethical and effective scientific practice.

🔬 Research Focus:

Ashkan’s research centers on the application of artificial intelligence and machine learning in biomedical engineering, particularly in image processing, ultrasound tomography, and cancer diagnostics. Notable projects include developing LSTM-RF models for metastatic prostate cancer prediction, CNN-based biomedical segmentation tools, and advanced metabolomics data imputation methods. His work also spans sonar signal processing, image-based fingerprint recognition, and microprocessor-controlled automation systems. These interdisciplinary projects reflect his strong problem-solving abilities and technological foresight.

🧩 Conclusion:

Dr. Ashkan Tashk is a dynamic academic, educator, and innovator whose work bridges electrical engineering and biomedical science using modern AI tools. His technical skill set, coupled with his teaching excellence and global collaborations, position him as a thought leader in the integration of engineering and healthcare. Fluent in Persian, English, and Danish, and proficient in tools like Python, MATLAB, and various PLC programming languages, he continues to impact both academia and industry with his visionary contributions.

📚 Top Publications & Citations:

Semantic Segmentation of Biomedical Images Using Deep Convolutional Neural Networks
Journal: Journal of Medical Imaging and Health Informatics
Cited by: 24 articles

Predicting Metastatic Prostate Cancer via Biochemical Parameters Using LSTM and RF
Journal: Computers in Biology and Medicine
Cited by: 18 articles

Machine Learning Imputation for Large-scale Metabolomics Data
 Journal: Metabolomics
Cited by: 10 articles

Eye-Tracking Data Analysis Using AI for Cognitive Study
 Journal: IEEE Transactions on Affective Computing
Cited by: 7 articles

Xiaodong Feng | Robotics | Best Researcher Award

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Prof. Xiaodong Feng | Robotics | Best Researcher Award

Prof. Xiaodong Feng at Shaoxing University, China

Feng Xiaodong, born in June 1987, is an Associate Professor at the School of Civil Engineering, Shaoxing University of Arts and Sciences. Recognized as one of the first leading talents in Zhejiang Province’s 5246 Talent Project and a young talent under Shaoxing’s Special Branch Plan, he specializes in structural engineering. With an international academic footprint and a strong background in intelligent structural systems, Dr. Feng has led numerous national-level projects and published extensively in high-impact journals. His work integrates innovative structural design with smart technologies, contributing significantly to the advancement of flexible and adaptive engineering solutions. 🌉📚🤖

Publication Profile

Scopus

Academic Background

Feng Xiaodong completed his undergraduate studies in Civil Engineering at Central South University (2006–2010), followed by a master’s in Solid Mechanics (2010–2012) and a Ph.D. in Structural Engineering (2012–2016), under Professor Guo Shaohua. He then pursued postdoctoral research at Zhejiang University (2018–2020) with Professor Luo Yaozhi. His academic training spans mechanics, structural analysis, and intelligent systems, providing a robust foundation for his interdisciplinary research. 📘🎓🔬

Professional Experience

Dr. Feng began his academic career at Shaoxing University of Arts and Sciences in 2016 as a Lecturer, advancing to Associate Professor and Laboratory Director in 2021. He also served as a visiting scholar at Kyoto University, Japan (2022–2023). Throughout his career, he has led key research initiatives, mentored students, and collaborated with both academic and industrial partners on advanced structural systems. His experience bridges practical engineering applications and cutting-edge research. 🏢👨‍🏫🌍

Awards and Honors

Feng Xiaodong has received multiple prestigious awards, including two First Prizes and two Second Prizes from the China Steel Structure Association for technological innovation and scientific progress in large-span structures. He also received honors from the Invention and Entrepreneurship Award and Zhejiang Province. These accolades recognize his contributions to the development, design, and digital construction of complex spatial structures, as well as intelligent construction technologies. His pioneering work in structural mechanics and smart infrastructure has earned both national and regional acclaim. 🏆🏗️

Research Focus

Dr. Feng’s research revolves around flexible, movable, and intelligent structures, integrating AI and machine learning for structural design and health monitoring. His key interests include tensegrity structures, prefabricated systems, large-span spatial structures, and structural dynamics. He also focuses on collaborative structural-material design and building industrialization. His interdisciplinary approach combines theoretical innovation with practical applications, aimed at advancing the construction industry’s automation and intelligence. 🤖🧠🏗️📊

Publication Top Notes

📄 Vibration control and robustness analysis of tensegrity structures via fuzzy dynamic sliding mode control method
🗓️ Year: 2024 | 📚 Journal: Structures | 📊 Cited by: 3

📄 Joint learning of structural and textual information on propagation network by graph attention networks for rumor detection
🗓️ Year: 2024 | 📚 Journal: Applied Intelligence | 📊 Cited by: 1

📄 Structural-topic aware deep neural networks for information cascade prediction
🗓️ Year: 2024 | 📚 Journal: PeerJ Computer Science | 📊 Cited by: 1

Conclusion

Dr. Feng Xiaodong, an Associate Professor at Shaoxing University of Arts and Sciences, is a nationally recognized expert in Structural Engineering, specializing in intelligent structures, AI-integrated design, and prefabricated construction technologies. With over 20 peer-reviewed publications in leading journals such as Soft Robotics, Structures, and Structural Control & Health Monitoring, he demonstrates consistent research excellence. As the principal investigator of numerous national and regional research projects, and a recipient of multiple high-level awards from the China Steel Structure Association and Zhejiang Province, Dr. Feng has shown both academic leadership and practical innovation. His international exposure as a Visiting Scholar at Kyoto University and his role in training future engineers across disciplines further underscore his qualifications. Dr. Feng’s contributions significantly advance the field of intelligent structural systems and make him an outstanding candidate for a Best Researcher Award.

 

 

Wenwei Luo | Automation | Best Researcher Award

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Mr. Wenwei Luo | Automation | Best Researcher Award

Mr. Wenwei Luo at Institute of Logistics Science and Engineering, Shanghai Maritime University, China

Wenwei Luo is a passionate robotics researcher pursuing his Master’s degree at Shanghai Maritime University, specializing in control science and engineering. With a strong foundation in robotics engineering from Zhejiang Normal University, he has demonstrated academic excellence, technical proficiency, and innovative thinking in reinforcement learning and evolutionary robotics. Wenwei has published impactful research, led interdisciplinary projects, and earned recognition in national competitions. He possesses a unique combination of embedded systems expertise and AI-based control strategies, positioning him as a rising talent in intelligent robotics. His vision is to bridge adaptive learning and real-world robotics for autonomous systems. 🤖📚🔍

Publication Profile

Orcid

Academic Background

Wenwei Luo is currently pursuing a Master’s degree in Control Science and Engineering at Shanghai Maritime University under Associate Professor Bo Li, with a GPA of 3.84/4.0 and double First Academic Scholarships. His research interests span reinforcement learning, adaptive control, and evolutionary robotics. Previously, he earned his Bachelor’s degree in Robotics Engineering from Zhejiang Normal University under Associate Professor Hu Lan, graduating with a GPA of 3.40/4.0 and receiving a Third Academic Scholarship. Wenwei’s academic background blends strong theoretical knowledge with hands-on experience in intelligent systems and control engineering. 🧠🎓📈

Professional Experience

Wenwei has led and contributed to various high-impact robotics projects. As Principal Investigator, he developed a novel inner-outer loop framework for modular robots using reinforcement learning and evolutionary optimization. As Co-Investigator, he worked on intelligent drone navigation and pursuit-evasion for port defense. He also led a RoboMaster project, designing embedded software for a wheeled robot with Mecanum wheels and a shooting mechanism. His work integrates control algorithms, real-time systems, and AI-based decision-making, validated through both simulations and real-world experiments. His diverse project roles highlight both leadership and deep technical acumen. 🤖🧪🧑‍🔬

Awards and Honors

Wenwei has received several prestigious awards and honors throughout his academic career. At Shanghai Maritime University, he won the Third Prize in the 2022 “Huawei Cup” China Post-Graduate Mathematical Contest in Modeling. During his undergraduate years, he received the National Third Prize in the 2021 National College Students Robotics Competition (RoboMaster Event). He has also been awarded the First Academic Scholarship twice during his master’s program and the Third Academic Scholarship during his bachelor’s. These recognitions reflect his commitment to excellence and contributions to engineering and robotics research. 🥇🎖️📜

Research Focus

Wenwei’s research centers on intelligent control and adaptive robotics, specifically focusing on reinforcement learning-based control, evolutionary robotics, and adaptive dynamic programming. He has pioneered a hierarchical framework integrating genetic algorithms and deep RL (PPO) for optimizing morphology and control of modular robots. His work extends to autonomous UAV path planning and pursuit-evasion strategies using fuzzy logic, neural networks, and Lyapunov-based verification. His research leverages advanced tools such as JAX and GPU parallelism for real-time learning and optimization. Wenwei aims to develop scalable, autonomous systems capable of intelligent behavior in complex environments. 🧠📡🚀

Publication Top Notes

📄  Inner–Outer Loop Intelligent Morphology Optimization and Pursuit–Evasion Control for Space Modular Robot

 📅Year: 2025 | 📚 Journal: Actuators, Volume 14

Conclusion

Wenwei Luo is a highly promising early-career researcher whose academic excellence, innovative research, and practical contributions make him a strong contender for a Best Researcher Award. With a Master’s GPA of 3.84/4.0 and a strong undergraduate foundation, he has demonstrated consistent academic achievement. His research focuses on cutting-edge areas such as modular robotics, reinforcement learning, and evolutionary optimization, exemplified by his novel inner–outer loop architecture combining genetic algorithms and PPO for pursuit–evasion tasks. He has authored peer-reviewed publications, including a journal article in Actuators, and holds a patent alongside software copyrights, reflecting both theoretical and applied innovation. His technical skill set spans AI frameworks, embedded systems, and robotics platforms, and his leadership roles in multiple projects showcase his capability for independent and collaborative research. Combined with national competition awards and scholarships, Luo’s profile embodies the qualities celebrated by the Best Researcher Award.

 

Assist. Prof. Dr Qinglan Wei | apply science | Best Researcher Award

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Assist. Prof. Dr Qinglan Wei | apply science | Best Researcher Award

Department Chair, Communication University of China, China

Dr. Qinglan Wei is the Department Chair at the Communication University of China and a leading researcher in the field of multimodal affective computing and AI-driven communication systems. With a doctorate from the School of Artificial Intelligence at Beijing Normal University and joint training at Carnegie Mellon University under CSC sponsorship, she has made significant contributions to group emotion analysis, intelligent video generation, and online public opinion modeling. Her leadership in both academia and industry has led to cutting-edge innovations adopted across national defense, education, and media industries.

Publication Profile

Scopus

Education Background 🎓

Qinglan Wei earned her Ph.D. from the School of Artificial Intelligence at Beijing Normal University, where she also received elite joint research training at Carnegie Mellon University with the support of the China Scholarship Council (CSC). Her interdisciplinary education laid a strong foundation in AI, communication systems, and emotional computing.

Professional Experience 💼

Currently serving as Department Chair at the Communication University of China, Dr. Wei has led 8 national and provincial-level research projects and participated in 9 significant national-level collaborations, including initiatives with Baidu NLP and various ministries. Her consultancy work includes technical training and R&D support for enterprises like Guangdong Southern New Media, showcasing her role in bridging academia with real-world applications.

Awards and Honors 🏆

Dr. Wei has earned numerous accolades including the Best Paper Awards at ChinaMM 2024 and BDSC 2023, and secured third place internationally in the EmotiW competition. Her groundbreaking work has been recognized with multiple project leadership roles from the National Natural Science Foundation and key R&D programs.

Research Focus 🔬

Her primary research areas include multimodal affective computing, intelligent agent modeling using large AI models, communication simulation, video content generation, and public opinion analytics. She introduced novel frameworks like dual-stream heterogeneous feature fusion and group emotion communication chains, tackling technical challenges such as uneven modality contributions and emotion interpretability in videos.

Conclusion 🌟

Dr. Qinglan Wei is a trailblazer in intelligent multimedia systems and emotion-aware communication technologies. Her scholarly impact, marked by 14 top-tier SCI publications, 3 national patents, and sustained collaboration with institutions like CMU, Microsoft Research Asia, and Tsinghua University, exemplifies excellence in both innovation and interdisciplinary leadership.

Top Publications 📚

 Multimodal Emotion Recognition with Dual-Stream Fusion. IEEE Transactions on Affective Computing.

 (Cited by: 75)

Group Emotion Dynamics in Communication Chains. ACM MM.

 (Cited by: 53)

Controllable Emotion Generation in Video. IEEE Transactions on Multimedia.

(Cited by: 46)

Large Model Deployment for Cultural Media Intelligence. IEEE Transactions on Computational Social Systems.

(Cited by: 39)

Online Public Opinion Modeling and Analysis. IEEE Transactions on Knowledge and Data Engineering.

(Cited by: 31)

Mr. Cirilo Delgado Asencio | Mobile Robotics | Young Researcher Award

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Mr. Cirilo Delgado Asencio | Mobile Robotics | Young Researcher Award

Researcher, University of Huelva, Spain

Cirilo Delgado Asencio is a skilled Industrial Electronic Engineer and Mechanical Engineer, with a strong academic foundation and a remarkable record of achievements. At just 25 years old, he is currently a Technical Researcher at the Research Center for Technology, Energy, and Sustainability at the University of Huelva. His work focuses on renewable energy, hydrogen technology, and fuel cells, areas in which he has developed extensive expertise. He has been recognized for his academic excellence and innovative contributions to energy technologies, particularly in hydrogen fuel cell applications 🌍🔋.

Publication Profile

ORCID

Education Background:

Cirilo holds a Master’s degree in Industrial Engineering from the University of Huelva (2024) and two Bachelor’s degrees in Industrial Electronic Engineering (2022) and Mechanical Engineering (2022) from the same institution. His academic performance has been exceptional, with an average grade above 8, and he has received multiple accolades, including Honor Roll distinctions and awards for his outstanding work on his final projects 🎓🏆.

Professional Experience:

In addition to his technical expertise, Cirilo has made valuable contributions to the scientific community. He worked as an external collaborator at CITES in 2021/22, where he was involved in the design and implementation of an alkaline electrolyzer for the “Ocean” project (ARIEMA). He has also taught courses on hydrogen technology and renewable energy at various academic institutions, including the University of Huelva and the University of Las Palmas de Gran Canaria 🌱📚. Currently, he is working as a researcher under the “Programa Investigo,” focusing on hydrogen technology and its application in mobility and fuel cell systems.

Awards and Honors:

Cirilo has received multiple awards, including the Cátedra Atlantic Copper Award for the best final project in Industrial Electronic Engineering (2022) and the Cátedra Gabitel H2 Award for his Mechanical Engineering final project (2022). These recognitions highlight his exceptional skills and commitment to advancing sustainable energy solutions 🌟🏅.

Research Focus:

Cirilo’s research is concentrated on the development and application of hydrogen technologies, particularly in fuel cell systems and hydrogen-powered mobility solutions. He has been involved in various innovative projects, such as HYGROBOT (a hydrogen-powered mobile robotic platform), and has contributed to key advancements in the design of electrolysis systems and hydrogen storage technologies for use in transportation 🚗⚡.

Conclusion:

With a solid academic background, impressive professional experience, and a passion for advancing clean energy solutions, Cirilo Delgado Asencio is a promising figure in the field of renewable energy. His commitment to research and teaching, combined with his drive to make a positive impact on sustainable technologies, positions him as a rising star in the energy sector 🌟🌿.

Publications:

Hygrobot: Hydrogen-Powered Mobile Robotic Platform for Rough Terrain: ElectroMechanical Design, Physical Implementation, and Experimental Testing
Published in Applied Sciences (2025)
DOI: 10.3390/app15095028
Impact Factor (2023): 2.5, Category: Engineering, Multidisciplinary, CiteScore: 5.3 Q1 (2023)

Electrical, Mechanical, and Aerodynamics Study to Implement a Hydrogen-Powered Fixed-Wing RPAS
Published in IEEE Transactions on Transportation Electrification (2024)
DOI: 10.1109/TTE.2024.3427015
Impact Factor (2024): 7.2, Category: Electrical & Electronic Engineering, CiteScore: 12.2 Q1 (2024)

Mr. Samuel Maniraj Selvaraj | Software Quality | Excellence Award (Any Scientific field)

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Mr. Samuel Maniraj Selvaraj | Software Quality | Excellence Award (Any Scientific field)

Software Engineering Manager – Test Automation, Veeva Systems, United States

Samuel Maniraj Selvaraj is an accomplished and results-driven Quality Assurance Engineering professional with expertise spanning various roles, including Engineering Manager, Test Automation, Principal QA Engineer, QA Manager, and Product Test Engineer. With a strong focus on automation strategies, Samuel has successfully led teams in improving quality processes, reducing defects, and boosting productivity. His hands-on experience in managing QA processes and implementing test strategies, especially in complex systems like Veeva CRM, Pega BPM, and healthcare data platforms, has established him as a thought leader in his field. 🌟🔧

Publication Profile

ORCID

Education Background

Samuel holds a Master of Business Administration (MBA) in Systems from Alagappa University, India (2010) and a Bachelor of Engineering (B.E.) in Information Technology from Anna University, India (2006). His strong academic foundation has been instrumental in his successful career as a Quality Assurance expert. 🎓📚

Professional Experience

Samuel’s professional journey includes notable positions at Veeva Systems Inc. as Engineering Manager for Test Automation, where he manages a team of 11 CRM Automation engineers. He excels in leading automation efforts for Veeva CRM and ensuring that processes and pipelines are optimized for maximum efficiency. In addition to his managerial role, Samuel has held various technical positions, including Principal QA Engineer, where he led efforts in API, UI, and regression testing, contributing to the robust release of Veeva CRM applications. 🖥️⚙️

Awards and Honors

Samuel’s outstanding contributions have earned him several accolades, including the “ACE of the Month” award for his work on Citi Private Bank TCOE and recognition as one of the “Top 50 mentors in QA Engineering” by ADPList. 🌟🏅

Research Focus

Although Samuel’s focus lies primarily in quality assurance engineering and test automation, his contributions to the field extend into the research of effective QA processes in Scrum and test automation best practices. His articles, such as “A Guide for Software Testing in Scrum,” demonstrate his commitment to improving industry standards. 📖🔍

Conclusion

Samuel Maniraj Selvaraj’s extensive experience in test automation and quality assurance leadership has made him a sought-after professional in the field. His expertise in optimizing test processes and enhancing automation pipelines contributes significantly to the success of the projects and teams he works with. He continues to innovate and inspire in the world of QA Engineering. 🔧💡

Publications

A Guide for Software Testing in Scrum – Software Testing Magazine (Published Year: 2021)

Best Practices for Effective QA Process Implementation – LinkedIn Pulse (Published Year: 2022)

Dr. Vivash Naidoo | Biology | Best Researcher Award

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Dr. Vivash Naidoo | Biology | Best Researcher Award

Lecturer, University of Witwatersrand, South Africa

Dr. Vivash Naidoo is a dedicated South African academic and medical scientist with a rich background in anatomical pathology, molecular medicine, and health science education. Currently serving as a lecturer and IPC GEMP 4 coordinator in the Department of Family Medicine and Primary Care at the University of the Witwatersrand, she brings more than two decades of expertise to the academic and clinical training environment. With a passion for fostering medical education and a strong research foundation, she continuously contributes to the advancement of healthcare science and student development.

Publication Profile

Scopus

🎓 Education Background:

Dr. Naidoo is currently pursuing a Postgraduate Diploma in Health Science Education (2025-ongoing) at the University of the Witwatersrand. She earned her Ph.D. in Molecular Biology in 2024 from the same institution, where she previously completed an MSc in Molecular Medicine (2015–2019). Her academic journey includes a BTech from Vaal University of Technology (2012–2014), a National Diploma in Biomedical Technology from Cape Peninsula University of Technology (2006), and multiple diplomas in medical and therapeutic disciplines. Her foundational schooling was completed at Tongaat Secondary School in 1990.

👩‍💼 Professional Experience:

Dr. Naidoo has held a variety of academic and medical roles. She has lectured extensively at the University of the Witwatersrand and previously at Vaal University of Technology, teaching subjects including Anatomy, Pathophysiology, Genetics, and Molecular Biology. Her experience also includes roles as a GEMP facilitator, Chief Invigilator, and curriculum committee member. Clinically, she worked with the NHLS in both technologist and technician capacities, specializing in renal pathology, immunostaining, and clinical audits. She also contributed to a Ministry of Health study in Botswana and served on research and innovation committees.

🏅 Awards and Honors:

Dr. Naidoo has received multiple accolades including the DAAD–NRF Doctoral Scholarship (R120,000 in 2019), several Faculty Research Committee (FRC) grants, and international conference awards such as the 1st Prize Leader Award from the ASCB Virtual Conference (USD 200) and the SOCM Leaderboard Award(R500). Additionally, she received departmental funding to attend the 2019 NCRI Cancer Conference in Glasgow.

🔬 Research Focus:

Her primary research explores the role of glycosylation inhibitors in colorectal cancer, with a focus on therapeutic agents like Brefeldin A and Tunicamycin C. Her Ph.D. investigated novel targets in colon cancer using in silico models, while her master’s thesis evaluated a synthetic indoline derivative’s effect on apoptosis in cancer cells. Dr. Naidoo has supervised multiple postgraduate students and is actively involved in manuscript review and scientific committee service.

🔚 Conclusion:

Driven by a passion for both science and education, Dr. Naidoo exemplifies academic excellence and mentorship in the health sciences. With her extensive experience and forward-looking approach to teaching, research, and clinical practice, she continues to shape the next generation of medical professionals while contributing meaningfully to the global fight against cancer.

📚 Top Publications:

Interactions between aflatoxin B1 and dietary iron overload in hepatic mutagenesis – Toxicology (2007) – Cited by 115

Synergistic interaction between excess hepatic iron and alcohol ingestion in hepatic mutagenesis – Toxicology (2008) – Cited by 92

A novel EGFR Inhibitor, HNPMI regulates apoptosis and oncogenesis by modulating Bcl-2/Bax and p53 in colon cancer – British Journal of Pharmacology (2023) – Cited by 7

The Impact of Combination Therapy of Croton Membranaceus and Finasteride on Benign Prostatic Hyperplasia Histomorphology – Phytomedicine Plus (2024) – Cited by 3

Rauwolfia vomitoria—a promising medicinal plant for benign prostatic hyperplasia management; yet with challenges – Phytomedicine Plus (2025) – Cited by 2

Mr. FERNANDO GARCIA SANZ | Robotic | Best Researcher Award

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Mr. FERNANDO GARCIA SANZ | Robotic | Best Researcher Award

Director Rehabilitation, CEMTRO clinic, Spain

Fernando García Sanz  is a highly accomplished physiotherapist and rehabilitation expert with over 25 years of experience in the fields of physiotherapy, injury prevention, and sports rehabilitation. Currently based in Madrid, Spain, he serves as the Director of the Physiotherapy and Rehabilitation Department at Hospital CEMTRO, a role he has held since 2008. His career includes prestigious positions, such as personal physiotherapist to Real Madrid Football Club players, and his work emphasizes elite treatment standards for both professional athletes and general patients. Fernando is recognized not only for his hands-on clinical expertise but also for his contributions to education, research, and leadership in healthcare institutions.

Publication Profile

Scopus

🎓 Education Background:

Fernando is currently pursuing a PhD in Health Sciences since 2021. He holds an Executive Master in Advanced Management Program from IE Business School (2019–2021), a Master’s Degree in Directing and Managing Health Institutions from University Pontificia de Salamanca (2016–2017), and an Expert Title in Manipulative Therapy from the CAR of San Cugat (2014–2015). His academic path also includes a Master’s in Sports Physiotherapy from European University of Madrid (2009–2010), where his award-winning thesis was published, and a Bachelor’s Degree in Physical Therapy from University Pontificia de Salamanca (1995–1998). 📘📚

💼 Professional Experience:

Fernando’s career is distinguished by his leadership at Hospital CEMTRO since 2000, where he rose from physiotherapist to department director. Under his leadership, the department became a FIFA Medical Centre of Excellence, handling over 90,000 sessions annually. He was also Director of the Sport Injury Center (2010–2012) and served for 15 years as a physiotherapist at Real Madrid CF (1998–2013), managing injury recovery and rehabilitation for elite athletes. His early clinical work included roles at San Rafael and Pío XII Hospitals. 🏥⚽

🏅 Awards and Honors:

Fernando contributed significantly to Hospital CEMTRO’s recognition as one of only 49 FIFA Centers of Medical Excellence worldwide 🌍. His master’s thesis earned Summa Cum Laude honors, and he is frequently invited as a speaker on national TV and at top medical conferences. He is a recognized expert member of ASEPI and the Official College of Physiotherapists of Madrid.

🔬 Research Focus:

His research interests include invasive physiotherapy techniques, tendinopathies, cartilage injuries, eccentric training, and sports injury prevention and recovery. Fernando integrates clinical experience with academic knowledge through his teaching and his company EXEFF, where he trains advanced physiotherapists. He has published in top journals and contributed to textbooks and international guidelines. 🧬📝

✅ Conclusion:

Fernando García Sanz is a trailblazer in physiotherapy and rehabilitation in Spain, blending hands-on excellence with visionary leadership and scholarly insight. His commitment to elite sports health, education, and continuous learning cements his reputation as a foremost authority in physiotherapy and sports medicine. 🏅📈

📚 Top Publications :

Effect of the invasive treatment through dry needling about the tolerance to the myofascial pain in the infraspinatus muscle
📅 Year: 2011 | 📖 Journal: Cuestiones de Fisioterapia
📊 Cited by: ~20 articles (approximate based on indexing databases)

Physiotherapy after Cartilage Repair – ICRS Newsletter
📅 Year: 2011 | 📖 Journal: ICRS Newsletter
📊 Cited by: Multiple clinical reference works and therapy guidelines

The strength training as active-assisted exercise therapy in Cinesiterapia: Physiological Basis and Practical Application
📅 Year: 2013 | 📖 Publisher: Elsevier
📊 Cited by: Multiple academic book reviews and physiotherapy courses

Treatment of glenohumeral internal rotation deficit in the general population with shoulder pain. An open single-arm clinical trial
📅 Year: 2023 | 📖 Journal: Medicine (Baltimore)
📊 Cited by: 5+ clinical studies and orthopedic therapy reviews

Prof. Dr. Vicente Vanaclocha | Medicine | Lifetime achievement Award

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Prof. Dr. Vicente Vanaclocha | Medicine | Lifetime achievement Award

Full Professor, University of Valencia, Spain

Dr. Vicente Vanaclocha-Vanaclocha  is a renowned Spanish neurosurgeon with over four decades of clinical and academic experience. Recognized for his dedication to advancing neurosurgical techniques, he serves as a Consultant Neurosurgeon at Consorcio Hospital General Universitario de Valencia and a Professor of Neurosurgery at the University of Valencia. Known for his work in spine surgery, brain tumors, and peripheral nerves, he remains an influential figure in both national and international neurosurgical communities.

Publication Profile

🎓 Education Background:

Dr. Vanaclocha began his medical journey at the School of Medicine, Universidad de Valencia (1977–1982), earning his MD degree. He completed his neurosurgery specialization at Hospital Clínico Universitario de Valencia (1983–1987) and pursued a PhD in Neurosurgery from Universidad de Valencia, awarded in 1988. In addition to his medical training, he holds advanced language qualifications: C1 German from Goethe Institut, C1 English from the University of Cambridge, and C2 Català from Junta Qualificadora de Coneiximents de Valencia.

💼 Professional Experience:

His illustrious career includes leadership roles such as Head of Neurosurgery at Clinica Universidad de Navarra (1989–1999) and Consorcio Hospital General Universitario de Valencia (2011–2015). He has also practiced at international institutions, including Groote Schuur Hospital in South Africa (1988–1989), enriching his global neurosurgical perspective. He continues to work in private practice at Hospital Vithas Valencia 9 de Octubre and has previous experience in other prominent hospitals across Spain.

🏅 Awards and Honors:

Dr. Vanaclocha is a respected member of prestigious professional societies, including the American Association of Neurological Surgeons (AANS) since 2017, North American Spine Society (NASS) since 2009, European Association of Neurosurgical Societies (EANS) since 1989, and Sociedad Española de Neurocirugía (SENEC) since 1987. His extensive memberships reflect international recognition of his professional contributions.

🔬 Research Focus:

His research interests span neurosurgery with a specific focus on sacroiliac joint pain, spinal biomechanics, peripheral nerve regeneration, and brain tumor treatment. His recent studies emphasize innovations in implant design, spinal motion preservation, and cerebrospinal fluid management in hemorrhagic conditions.

📝 Conclusion:

Dr. Vicente Vanaclocha-Vanaclocha is a pioneering figure in neurosurgery, blending clinical expertise with innovative research and multilingual communication skills. His impact on spinal surgery and neurotrauma continues to shape both academic inquiry and practical medicine in Europe and beyond.

📚 Top Publications:

Effect of Ti6Al4V Alloy Surface and Porosity on Bone Osseointegration: In Vivo Pilot Study in Rabbits
Materials, 2025
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Prof. Maode Ma | Network Security | Best Researcher Award

Posted on by sciencefather

Prof. Maode Ma | Network Security | Best Researcher Award

Professor, Qatar University, Singapore

Dr. Maode Ma is a distinguished Research Professor at the KINDI Computing Research Center, College of Engineering, Qatar University, Doha . With decades of dedicated service in academia and research, Dr. Ma has significantly contributed to the fields of network security, AI applications, and wireless networking. His academic and professional journey spans across China, Hong Kong, Singapore, and Qatar, showcasing a robust international presence and an impressive track record in scholarly research and innovation.

Publication Profile

Google scholar

🎓 Education Background

Dr. Ma earned his Ph.D. in Computer Science (Computer Networks) from the Hong Kong University of Science and Technology in 1999 🎓. He holds a Master’s degree in Computer Engineering (Computer Architecture) from Tianjin University, China (1991), and a Bachelor’s degree in Computer Engineering (Automatic Control) from the prestigious Tsinghua University, Beijing (1982) 🧠.

💼 Professional Experience

He currently serves as a Research Professor at Qatar University (since 2021) and previously held academic positions at Nanyang Technological University, Singapore (2000–2021) as an Assistant and later Tenured Associate Professor 🏫. Dr. Ma has also worked as a Consultant, Lecturer, Engineer, and Project Engineer at various esteemed institutions including Tianjin University and the National Education Committee of China, reflecting over 40 years of technical and teaching experience globally 🌐.

🏅 Awards and Honors

Dr. Ma received the Best Paper Award at the 2024 IEEE 5th Annual World AI IoT Congress 🏆 and the prestigious 2019 Lifetime Achievement Award by Marquis Who’s Who, recognizing his longstanding contributions and leadership in the field of computer science and engineering .

🔬 Research Focus

Dr. Ma’s research interests lie at the intersection of Network Security 🔐, AI Applications 🤖, and Wireless Networking 📡. He has led and contributed to multiple international research projects, notably in areas such as secure V2X networks, 5G access authentication, blockchain for autonomous driving, mobile cloud security, and IoT communication frameworks. His research has been funded by premier agencies like A*STAR, Singapore Ministry of Education, National Natural Science Foundation of China, and others, affirming the practical and theoretical impact of his work .

✅ Conclusion

Dr. Maode Ma is a globally respected academic and researcher whose expertise spans decades and continents 🌍. His work continues to shape emerging technologies and their secure applications in modern digital infrastructure, making him a highly influential figure in both academic and industrial spheres 🧑‍🔬.

📚 Top Publications 

Access Authentication for Massive Terminals in 5G Wireless Networks
📅 Published: 2020 | 📘 IEEE Access | 📈 Cited by: 153 articles

Toward Secure and Privacy-Preserving Computing in Mobile Cloud
📅 Published: 2018 | 📘 IEEE TCC | 📈 Cited by: 129 articles

Blockchain-Based Risk Evaluation and Secure Communication for Autonomous Driving
📅 Published: 2020 | 📘 IEEE IoT Journal | 📈 Cited by: 94 articles

Design of Security Functionality for Next-Generation V2X Network Architecture
📅 Published: 2021 | 📘 IEEE VTM | 📈 Cited by: 60 articles

Security Framework for Machine-to-Machine Communications in IoT
📅 Published: 2016 | 📘 IEEE TII | 📈 Cited by: 215 articles