Genliang Xiong | Robotics and Automation | Best Researcher Award

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Prof. Genliang Xiong | Robotics and Automation | Best Researcher Award

Shanghai University of Engineering Science, China

Prof. Genliang Xiong is a distinguished robotics researcher and professor at the School of Mechanical and Automobile Engineering, Shanghai University of Engineering Science. With a Ph.D. in Mechanical and Electronic Engineering from the Harbin Institute of Technology, his career spans over two decades across academia and industry. His research expertise lies in human-robot interaction, intelligent control, medical robotics, force feedback systems, and machine vision. Prof. Xiong has led the design and control of advanced robotic systems, including a 6-DOF humanoid table tennis robot and a novel force feedback glove for teleoperation and virtual reality applications. He has an impressive portfolio of 70 Chinese patents, reflecting his strong orientation toward innovation and applied research. His work bridges theory and practice, with a focus on safety, adaptability, and precision in robotics. Through his contributions, Prof. Xiong continues to advance the field of robotics engineering with real-world impact in healthcare, automation, and human-machine collaboration.

Professional Profile 

🎓 Education Background 

Prof. Genliang Xiong holds a robust academic foundation in mechanical and electronic engineering. He earned his Ph.D. in Mechanical and Electronic Engineering in August 2010 from the State Key Laboratory of Robotics and System at Harbin Institute of Technology, with a dissertation focused on the control of lightweight robots with flexible joints. Prior to that, he completed his Master’s degree in December 2005 from the same institution, where his thesis explored the modeling and simulation of wafer automatic transport manipulators for IC testing technology. His academic journey began with a Bachelor’s degree in Mechanical and Electronic Engineering from Sichuan University in July 2001, where he developed a project on the synchronization control of a 30-ton pressing machine. This solid educational progression laid the groundwork for his advanced research in robotics, intelligent control, and human-machine interaction.

💼 Professional Experience of Prof. Genliang Xiong

Prof. Genliang Xiong has accumulated over 20 years of diverse professional experience in both academia and industry, showcasing leadership and innovation in robotics and intelligent systems. Since January 2021, he has been serving as a Professor at the School of Mechanical and Automobile Engineering, Shanghai University of Engineering Science, where his research focuses on medical robotics, physical human-robot interaction, and path planning. From 2010 to 2020, he worked at Nanchang University as a Lecturer and later Associate Professor, leading projects in robotics control and intelligent systems. Earlier in his career, between 2003 and 2010, he was a graduate researcher at the State Key Laboratory of Robotics and System, Harbin Institute of Technology, where he pioneered work on flexible joint manipulators, sensor-integrated robots, and real-time force feedback systems. Additionally, from 2001 to 2003, he gained valuable industry experience as a Senior Engineer at Lite-On Electronics Co., Ltd., focusing on the design and analysis of switching power supplies. This comprehensive blend of academic and industrial roles highlights his expertise in designing, controlling, and implementing advanced robotic systems.

🔬 Research Interests of Prof. Genliang Xiong

Prof. Genliang Xiong’s research interests are deeply rooted in the fields of robotics and intelligent systems, with a strong emphasis on human-robot interaction, robot design and control, and intelligent feedback mechanisms. He is particularly focused on developing medical and assistive robots, exploring safe and adaptive control strategies that enable robots to operate effectively in dynamic and unstructured environments. His expertise extends to biomechanics, computer vision, and machine vision, which he integrates into robotic systems for enhanced perception and decision-making. Additionally, he works on force feedback technologies, including the design of advanced exoskeleton gloves, and contributes to physical human-robot collaboration, allowing for more intuitive and responsive robotic behaviors. His interdisciplinary approach bridges engineering, control theory, and artificial intelligence, positioning him at the forefront of innovation in intelligent robotic systems.

🏅 Awards and Honors of Prof. Genliang Xiong

Prof. Genliang Xiong has been widely recognized for his innovative contributions to robotics and intelligent systems. He holds an impressive portfolio of 70 authorized Chinese patents, reflecting his strong commitment to technological innovation and applied research. These patents span critical areas such as human-robot interaction, force feedback systems, and intelligent control devices, showcasing his role as a leading inventor in the field. While specific international awards or academic honors are not detailed, his appointment as a Professor at Shanghai University of Engineering Science and his sustained leadership in advanced robotics projects highlight his professional distinction. His consistent academic and research excellence continues to earn him recognition within China’s engineering and robotics research community.

📚 Publications Top Noted

  1. Research on Adaptive Fuzzy Impedance Control of Human‑Massage Robot Interaction Based on Kelvin‑Voigt Modeling
    • Authors: Xiaoqing Zhang; Jixian Zhang; Genliang Xiong; Yanfeng Gao; Yan Feng
    • Journal: IEEE Access
    • Year: 2024
    • Citation: DOI 10.1109/ACCESS.2024.3419177

  2. Numerical Simulation on Porosity Formation and Suppression in Oscillation Laser Welding of Ti‑6Al‑4V Alloy
    • Authors: Donglin Tao; Yanfeng Gao; Hao Pan; Yilin Zhou; Jinhua Xiao; Genliang Xiong; Hua Zhang
    • Journal: Journal of Laser Applications
    • Year: 2024 (Nov 1)
    • Citation: DOI 10.2351/7.0001517

  3. Aluminum Alloy Oxidation Prediction During Laser Welding Process Based on Random Forest Regression Analysis of Spectral Signals
    • Authors: Lixue Zeng; Yanfeng Gao; Genliang Xiong; Hua Zhang; Hao Pan; Zhiwu Long; Donglin Tao
    • Journal: Journal of Laser Applications
    • Year: 2023 (Nov 1)
    • Citation: DOI 10.2351/7.0001167

  4. Sensor‑Based Skeleton Modeling and MVEEs Approach of the Redundant Manipulator for Reaction Motion
    • Authors: Lan Ye; Genliang Xiong; Hua Zhang; Cheng Zeng
    • Journal: Advances in Mechanical Engineering
    • Year: 2022 (Jan)
    • Citation: DOI 10.1177/16878140221074287

  5. Cascaded Control of Flexible‑Joint Robots Based on Sliding‑Mode Estimator Approach
    • Authors: Genliang Xiong; Jingxin Shi; Haichu Chen; Arturo Buscarino
    • Journal: Journal of Robotics
    • Year: 2020 (Oct 26)
    • Citation: DOI 10.1155/2020/8861847

  6. Trajectory Tracking Control of 7‑DOF Redundant Robot Based on Estimation of Intention in Physical Human‑Robot Interaction
    • Authors: Lan Ye; Genliang Xiong; Cheng Zeng; Hua Zhang
    • Journal: Science Progress
    • Year: 2020 (Jul)
    • Citation: DOI 10.1177/0036850420953642

  7. Null‑Space Impedance Control of 7‑Degree‑of‑Freedom Redundant Manipulators Based on the Arm Angles
    • Authors: Genliang Xiong; Yang Zhou; Jiankang Yao
    • Journal: International Journal of Advanced Robotic Systems
    • Year: 2020 (May 1)
    • Citation: DOI 10.1177/1729881420925297

  8. Joint Torque Control of Flexible Joint Robots Based on Sliding Mode Technique
    • Authors: Gen‑Liang Xiong; Hai‑Chu Chen; Jing‑Xin Shi; Fa‑Yun Liang
    • Journal: International Journal of Advanced Robotic Systems
    • Year: 2019 (May 1)
    • Citation: DOI 10.1177/1729881419846712

🏁Conclusion

Prof. Genliang XIONG is a highly suitable candidate for the Best Researcher Award in Engineering, Robotics, or Applied Sciences categories—especially in innovation-driven or patent-focused awards. His rich contribution to human-robot interaction, force control systems, and robotics applications exemplifies advanced research with real-world relevance.

 

Bilal Blissag | Environmental Science | Excellence in Research Award

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Dr. Bilal Blissag | Environmental Science | Excellence in Research Award

Researcher at CTS /ASAL , Algeria

Bilal Blissag is a dedicated Algerian researcher and engineer specializing in the application of remote sensing and GIS in hydrology and hydraulic modeling. With an academic background that includes a Magister degree in hydraulic development from USTO MB and ongoing doctoral studies, he has consistently contributed to both academic and applied research in environmental and water resource engineering. He serves as a Principal Engineer at CTS-ASAL and lectures in hydrology and water infrastructure at various institutions. His research focuses on soil erosion, watershed management, flood risk modeling, and land use/land cover dynamics, leading to numerous national and international conference presentations and publications in reputable journals such as Modeling Earth Systems and Environment and Physics and Chemistry of the Earth. Blissag has played a key role in several national-level hydrological projects and collaborates actively with peers in multi-institutional research efforts. His work bridges scientific innovation and practical impact, positioning him as a strong contributor to sustainable environmental management in semi-arid regions.

Professional Profile 

🎓 Education 

Bilal Blissag has pursued a focused academic path in the field of hydraulic and environmental engineering. He began his studies in 2005 in Public Works and Construction, followed by earning a Diplôme d’Études Appliquées (DEA) in Urban Hydraulics from the University of M’sila in 2008. In 2011, he advanced to become a State Engineer in Urban Hydraulics, further solidifying his technical expertise. His academic journey culminated in 2015 with a Magister degree in Hydraulic Development from USTO MB University. Currently, he is pursuing a PhD in the same domain, focusing on the integration of remote sensing and GIS technologies in hydrological modeling. His educational background forms a strong foundation for his applied research and engineering contributions in water resource management.

💼 Professional Experience 

Bilal Blissag brings over a decade of professional experience in hydraulic engineering and applied environmental research. Since April 2018, he has been serving as a Principal Engineer at CTS-ASAL, where he specializes in the use of remote sensing and GIS for hydrological and hydraulic modeling. His work involves critical national projects such as flood risk assessment, watershed erosion evaluation, and the delimitation of hydraulic public domains. In addition to his engineering role, he has also contributed to higher education as a lecturer, teaching modules like Hydrology, Hydraulic Infrastructure, and Urban Development at institutions including CTS and ENSGTS from 2018 to 2024. Through this dual role in industry and academia, Blissag has successfully merged research innovation with practical environmental problem-solving on a national scale.

🔬 Research Interests 

Bilal Blissag’s research interests lie at the intersection of environmental engineering, hydrology, and geospatial technologies. He focuses on the application of remote sensing and Geographic Information Systems (GIS) in the modeling of watershed dynamics, with particular emphasis on soil erosion, surface runoff estimation, land use/land cover (LULC) changes, and hydraulic risk assessment. His work often integrates empirical models like RUSLE and SCS-CN with machine learning approaches such as ANN-MLP to enhance the accuracy of environmental predictions in semi-arid and arid regions. He is also deeply involved in developing spatiotemporal analysis frameworks to assess the impact of climate and land use changes on water resources. Blissag’s research contributes valuable insights for sustainable watershed management and disaster mitigation in North African terrains.

🏆 Awards and Honors 

While Bilal Blissag has not listed specific individual awards or formal honors in his curriculum vitae, his repeated selection to present at prestigious international conferences—such as IUGG (Berlin), M2GARSS (Tunis), and ICEOGI (Algiers)—reflects strong peer recognition and academic credibility. His work has been published in internationally indexed journals, and he has been entrusted with key roles in national hydrological projects, highlighting the institutional trust placed in his expertise. His growing reputation in the field of hydrological modeling and remote sensing positions him as a strong candidate for future academic and professional distinctions in environmental research and engineering.

📄 Publications Top Noted

Title: Urban expansion and its environmental impacts in northwestern Algeria using cellular automata‑Markov‑chain modeling
Authors: Akila Cherigui, Amel Talia, Iméne Benstaali, Bilal Blissag, Bilel Zerouali, Mohamed Meddi
Journal: Modeling Earth Systems and Environment
Year: 2025 (Vol. 11, No. 3, Article 159) ouci.dntb.gov.ua+15colab.ws+15arxiv.org+15

Citation Count: 1

✅Conclusion

His career demonstrates a strong blend of academic, applied, and collaborative research, with practical outcomes for water resource management and environmental modeling. While further growth in terms of citation metrics and global leadership is still ongoing, his profile clearly meets the standards of a mid-career researcher showing excellence and sustained contributions.

 

 

Aysegul Kilicli | Medical Hypotheses | Best Researcher Award

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Assist. Prof. Dr. Aysegul Kilicli | Medical Hypotheses | Best Researcher Award

Assist. Prof. Dr. Aysegul Kilicli Medical Hypotheses | Health sciences faculty at mus alparslan university, Turkey

Dr. Ayşegül Kılıçlı is an Assistant Professor of Nursing at Muş Alparslan University, specializing in women’s health and reproductive care. With a Ph.D. from Gaziantep University, her research focuses on postpartum well-being, maternal mental health, reflexology, breastfeeding, and the use of psychological techniques such as neurolinguistic programming to improve maternal outcomes. She has published numerous high-impact articles in internationally indexed journals (SCI-Expanded, Q2/Q3), contributed to several national projects supported by TÜBİTAK, and presented at more than a dozen international conferences. Her work demonstrates a strong commitment to community-centered research, especially among vulnerable populations such as rural women and seasonal workers. In addition to her research, Dr. Kılıçlı is actively involved in academic teaching, university committees, and continuous professional development through diverse certifications. Her interdisciplinary approach, grounded in both clinical and psychological perspectives, positions her as a promising scholar making significant contributions to women’s health and nursing science.

Professional Profile 

🎓 Education Background of Dr. Aysegul Kilicli

Dr. Ayşegül Kılıçlı has built a strong academic foundation in the field of nursing, beginning with her Bachelor’s degree in Nursing from Harran University in 2011. She continued her specialization with a Master’s degree, also from Harran University, in 2016, where she focused her thesis on urinary incontinence among seasonal agricultural worker women. Her academic journey culminated with a Ph.D. in Nursing from Gaziantep University in 2021, where her doctoral research explored the effects of reflexology on postpartum recovery, including pain, fatigue, sleep quality, and lactation. Each stage of her education reflects a deepening commitment to improving women’s health and advancing evidence-based nursing practices.

💼 Professional Experience of Dr. Aysegul Kilicli

Dr. Ayşegül Kılıçlı brings over a decade of experience in healthcare and academia, beginning her career as a nurse at Şanlıurfa Mehmet Akif İnan Training and Research Hospital, where she served from 2011 to 2021, gaining hands-on clinical expertise in patient care and women’s health. In 2021, she transitioned into academia as an Assistant Professor at Muş Alparslan University, Faculty of Health Sciences, in the Department of Women’s Health and Diseases Nursing. Since then, she has been actively engaged in undergraduate nursing education, research, and institutional service. Her dual background in clinical nursing and academic leadership allows her to bridge theory and practice, enriching the learning experiences of her students while contributing meaningfully to community-based health research and scientific development.

🔬 Research Interests of Dr. Aysegul Kilicli

Dr. Ayşegül Kılıçlı’s research interests lie at the intersection of women’s health, maternal care, mental well-being, and complementary health practices. She focuses extensively on improving health outcomes in the postpartum period, exploring innovative non-pharmacological interventions such as reflexology, neurolinguistic programming (NLP), mindfulness, and progressive muscle relaxation to alleviate pain, fatigue, anxiety, and enhance breastfeeding success. Her work also addresses public health issues in underserved communities, including rural maternal care, urinary incontinence among agricultural workers, and emotional health during pandemics. Driven by a commitment to holistic and evidence-based nursing, Dr. Kılıçlı aims to empower women through preventive healthcare models and psychosocial support strategies that improve both physical and emotional aspects of well-being.

🏅 Awards and Honors of Dr. Aysegul Kilicli

As of now, Dr. Ayşegül Kılıçlı has not listed any formal awards or honors in her academic curriculum vitae. However, her significant contributions to high-impact research publications, leadership in TÜBİTAK-supported scientific training programs, and active participation in national and international congresses highlight her growing recognition within the academic and healthcare communities. Her steady progress and dedication to women’s health, nursing education, and interdisciplinary research position her as a strong candidate for future academic honors and prestigious research awards.

✅ Conclusion

Assist. Prof. Dr. Ayşegül Kılıçlı is a highly promising and impactful researcher, particularly in the nursing and women’s health sciences field. Her consistent publication record, applied and community-focused research, and multidisciplinary training make her a strong candidate for recognition—especially under categories such as Early-Career Researcher, Women in Science, or Applied Health Research.

📝Publications Top Noted

1.Title: Women’s reproductive behaviour and perspectives on fertility, and their modifying factors, in a Turkish province with a high fertility rate

    Authors: K. Eroğlu, F. Koruk, İ. Koruk, K. Çelik, P. Güner, A. Kiliçli

    Year: 2021

    Citations: 27

2.Title: Stigmatizing attitudes, beliefs, and actions of women towards abortion in rural regions with high fertility

   Authors: Ş. Akbulut, A. Kılıçlı

   Year: 2022

   Citations: 8

3.Title: Stress, anxiety, and Postpartum Depression in parents with premature infants in neonatal intensive care unit

   Authors: A. Kılıçlı, G. Saraçoğlu, A.Ç. Büyükbodur

   Year: 2023

   Citations: 5

4.Title: Şanlıurfa’da kadın sağlık çalışanlarının doğurganlık özellikleri ve doğurganlığa bakış açıları

   Authors: F. Koruk, İ. Koruk, Ö. Güner, S. Ayhan, A. Kılıçlı, S. Aytekin, D.U. Altun

   Year: 2017

   Citations: 5

5.Title: Şanlıurfa’da Mevsimlik Tarım İşçisi Kadınlarda Üriner İnkontinans Prevelansı, Tedavi Alma Durumları Ve Etkileyen Faktörler, Hemşirelik Anabilim Dalı

   Authors: A. Kılıçlı

   Year: 2016

   Citations: 5

 

 

Shedrack Mgeni | Biology and Life Sciences | Best Researcher Award

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Mr. Shedrack Mgeni | Biology and Life Sciences | Best Researcher Award

Mkwawa University College of Education, Tanzania 

Shedrack Thomas Mgeni is a dedicated Tanzanian researcher and educator with over 16 years of experience teaching Chemistry and Biology. He holds a Master of Science in Biology with Education from the University of Dar es Salaam (2024), where his research focused on bioethanol production from fruit wastes—an innovative solution contributing to clean energy and the circular economy. Mgeni has published extensively in peer-reviewed journals on bioenergy generation, with over 11 impactful publications between 2024 and 2025. His work earned him the “Distinguished Innovator of the Year 2024” award from the University of Dar es Salaam. In addition to his research, he plays a leadership role in secondary education as an Academic Master at Miyuji Secondary School. Passionate about environmental conservation, sustainable energy, and improving livelihoods through science, Mgeni actively participates in research conferences and community-based development initiatives, making him a strong candidate for the Best Researcher Award.

Professional Profile 

🎓 Education of Shedrack Mgeni

Shedrack Mgeni’s educational journey reflects a strong foundation in science and education. He began his studies at Lugoda Primary School (1994–2000) and proceeded to Kibao Secondary School (2001–2004) and Kidugala Lutheran Seminary (2005–2007). He earned a Diploma in Secondary Science Education (Chemistry & Biology) from Morogoro Teachers College in 2010, laying the groundwork for his teaching career. He later pursued a Bachelor of Science in Chemistry and Biology with Education at Sokoine University of Agriculture, graduating in 2015. His academic path culminated with a Master of Science in Biology with Education from the University of Dar es Salaam in 2024, where he conducted pioneering research on bioethanol production from fruit wastes. This solid academic background underpins both his teaching excellence and innovative research in bioenergy.

💼 Professional Experience of Shedrack Mgeni

Shedrack Mgeni has amassed over 16 years of experience in teaching Chemistry and Biology across various secondary schools in Tanzania, demonstrating unwavering commitment to science education. His career began in 2007 at Matola Secondary School in Njombe, where he also served as Head of Department. Over the years, he contributed to institutions such as St. Gertrude, Mabatini, Kifanya, Ilowola, and Mbeya Day High School, gaining diverse teaching and leadership experiences. Since 2021, he has been serving at Miyuji Secondary School in Dodoma, where he currently holds the roles of Academic Master and Sports & Games Master, overseeing both academic programs and extracurricular development. His practical teaching is enriched by hands-on research, making him a role model in integrating scientific innovation with classroom learning.

🔬 Research Interest of Shedrack Mgeni

Shedrack Mgeni’s research interests center on bioenergy generation from organic waste, with a strong emphasis on bioethanol production from fruit wastes as a sustainable and eco-friendly alternative to fossil fuels. His work aligns with global goals for clean energy, environmental conservation, and the promotion of the circular economy. He is particularly passionate about utilizing agricultural and fruit residues to develop renewable energy solutions that are both cost-effective and scalable, especially in developing regions. Through his research, Mgeni aims to improve human health, reduce environmental pollution, and contribute to energy security by advancing practical, waste-to-energy technologies.

🏅 Awards and Honors of Shedrack Mgeni

Shedrack Mgeni has been recognized for his innovative contributions to sustainable energy research with the prestigious “Distinguished Innovator of the Year 2024” award from the University of Dar es Salaam. This honor was granted in recognition of his groundbreaking work on bioethanol production from fruit wastes—an environmentally friendly approach to renewable energy. His research was also showcased during the 9th University of Dar es Salaam Research and Innovation Week 2024, where he presented projects focused on converting bio-waste into value-added energy products. These accolades highlight his impactful role in advancing clean energy solutions and his commitment to addressing global challenges through practical and community-driven science.

✅ Conclusion

Shedrack M. Mgeni exhibits a compelling combination of high‑quality research output, educational leadership, and a clear focus on sustainable bioenergy innovation—qualities eminently fitting for the Best Researcher Award. Strengthening his profile through competitive grant funding, interdisciplinary collaborations, and expanded academic leadership roles will further elevate his candidacy and ensure sustained impact in the field of renewable energy.

📚 Publications of Shedrack Thomas Mgeni

  1. Title: Potential Contributions of Cashew Apple Juice to Nutrition, Medicine and Bioethanol Generation: An Outlook
    Authors: Lewis Atugonza Mtashobya, Shedrack Thomas Mgeni, Jovine Kamuhabwa Emmanuel
    Year: 2025
    Citation/DOI: 10.1177/1934578X251357414

  2. Title: Bioethanol production from fruit wastes juice using millet and sorghum as additional fermentable sugar
    Authors: Shedrack Thomas Mgeni, Lewis Atugonza Mtashobya, Jovine Kamuhabwa Emmanuel
    Year: 2025
    Citation/DOI: 10.1016/j.cles.2025.100177

  3. Title: Potential Contributions of Pineapple Waste to Nutrition, Medicine, Bioenergy Sources, and Environmental Conservation: A Review
    Authors: Shedrack Thomas Mgeni, Jovine Kamuhabwa Emmanuel, Lewis Atugonza Mtashobya
    Year: 2025
    Citation/DOI: 10.1177/1934578X251348402

  4. Title: Utilizing fruit wastes as a sustainable feedstock for bioethanol production: A review
    Authors: Shedrack Thomas Mgeni, Herieth Rhodes Mero, Lewis Atugonza Mtashobya, Jovine Kamuhabwa Emmanuel
    Year: 2025
    Citation/DOI: 10.1016/j.cles.2025.100188

  5. Title: Bioethanol production from concentrated fruit wastes’ juice enhanced with fermentable sugar from millet (Panicum miliaceum)
    Authors: Jovine Emmanuel, Shedrack Thomas Mgeni, Jonas Balengayabo Gervas, Lewis Atugonza Mtashobya
    Year: 2025
    Citation/DOI: 10.1080/17597269.2024.2432157

  6. Title: Quality of Bioethanol Produced from Concentrated Fruit Waste Juice Augmented with Sorghum as Additional Fermentable Sugar
    Authors: Shedrack Thomas Mgeni, Jonas Balengayabo Gervas, Lewis Atugonza Mtashobya, Jovine Kamuhabwa Emmanuel
    Year: 2025
    Citation/DOI: 10.1007/s12355-025-01596-0

  7. Title: Bioethanol production from concentration fruit wastes juice using bakery yeast
    Authors: Lewis Atugonza Mtashobya, Shedrack Thomas Mgeni, Jovine Kamuhabwa Emmanuel
    Year: 2025
    Citation/DOI: 10.1007/s40243-024-00283-6

  8. Title: Potential Contributions of Banana Fruits and Residues to Multiple Applications: An Overview
    Authors: Jovine Kamuhabwa Emmanuel, Lewis Atugonza Mtashobya, Shedrack Thomas Mgeni
    Year: 2025
    Citation/DOI: 10.1177/1934578X251320151

  9. Title: Bioethanol production from dilute fruit wastes using sorghum as additional fermentable sugar
    Authors: Shedrack Thomas Mgeni, Herieth Rhodes Mero, Jonas Balengayabo Gervas, Lewis Atugonza Mtashobya, Jovine Emmanuel
    Year: 2025
    Citation/DOI: 10.1080/17597269.2024.2371211

  10. Title: Bioethanol production from pineapple fruit waste juice using bakery yeast
    Authors: Shedrack Thomas Mgeni, Lewis Atugonza Mtashobya, Jovine Kamuhabwa Emmanuel
    Year: 2024
    Citation/DOI: 10.1016/j.heliyon.2024.e38172

  11. Title: The prospect of fruit wastes in bioethanol production: A review
    Authors: Shedrack Thomas Mgeni, Herieth Rhodes Mero, Lewis Atugonza Mtashobya, Jovine Kamuhabwa Emmanuel
    Year: 2024
    Citation/DOI: 10.1016/j.heliyon.2024.e38776

 

 

 

Luis Pastor Sanchez-Fernandez | Computer Science and Artificial Intelligence | Cross-disciplinary Excellence Award

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Prof. Dr. Luis Pastor Sanchez-Fernandez | Computer Science and Artificial Intelligence | Cross-disciplinary Excellence Award

Senior Researcher at Center for Computing Research Instituto Politecncico Nacional, Mexico

Luis Pastor Sánchez-Fernández is a Full Professor at the Computer Research Center of the National Polytechnic Institute (IPN) in Mexico City, with a PhD in Technical Sciences from the José Antonio Echeverría Polytechnic Institute (CUJAE), Havana (1998). A distinguished researcher and educator, he has been a member of Mexico’s National System of Researchers since 2007 (currently Level II). His work spans multiple disciplines, including biomechanics, bioinformatics, environmental acoustics, signal processing, expert systems, and intelligent automation. He has supervised over 13 doctoral and 46 master’s students, many of whom received honors or were inducted into national research systems. Dr. Sánchez-Fernández has led several research groups and CONACYT-funded projects, notably designing the Environmental Noise Monitoring System for the Historic Center of Mexico City. A recipient of the 2014 IPN Applied Research Award, he is also an accomplished keynote speaker, reviewer for high-impact journals, and advocate for interdisciplinary and socially impactful research.

Professional Profile 

🎓 Education of Luis Pastor Sánchez-Fernández

Luis Pastor Sánchez-Fernández holds a PhD in Technical Sciences from the prestigious José Antonio Echeverría Polytechnic Institute (CUJAE) in Havana, Cuba, awarded in 1998. His doctoral education laid a strong interdisciplinary foundation, combining elements of engineering, computer science, and applied research. This academic background has been instrumental in shaping his cross-disciplinary research career, allowing him to contribute significantly to fields such as biomechanics, signal processing, and intelligent systems.

💼 Professional Experience of Luis Pastor Sánchez-Fernández

Luis Pastor Sánchez-Fernández has served as a Full Professor at the Computer Research Center of the National Polytechnic Institute (IPN), Mexico City, since 2000, where he has been a key figure in advancing interdisciplinary scientific research and technological development. With over two decades of academic and research leadership, he has directed multiple research groups in bioinformatics and intelligent measurement systems, supervised numerous postgraduate theses, and mentored future leaders in science. His expertise spans diverse fields including biomechanics, environmental acoustics, expert systems, and automation. He has also played critical roles as a project leader for national research initiatives funded by CONACYT, and as an advisor and evaluator of scientific proposals. His contributions extend beyond academia into societal impact projects, such as the Environmental Noise Monitoring System for Mexico City, solidifying his reputation as a cross-disciplinary innovator and research leader.

🔬 Research Interests of Luis Pastor Sánchez-Fernández

Luis Pastor Sánchez-Fernández’s research interests lie at the intersection of engineering, computer science, health sciences, and environmental studies, reflecting his strong cross-disciplinary approach. He focuses on the biomechanical analysis of patients with Parkinson’s disease, exploring computational and signal-based methods to improve medical diagnostics and rehabilitation. He is also deeply engaged in environmental acoustics, developing noise indicators and acoustic indices to assess and mitigate the harmful effects of urban noise pollution. His work extends into signal pattern recognition, expert systems, virtual instrumentation, and the design of intelligent systems for automation. Additionally, he has a sustained interest in bioinformatics, leading research groups that develop advanced computational tools for biological data analysis. His research consistently integrates theory and practical application, addressing real-world problems through innovative, multidisciplinary solutions.

🏅 Awards and Honors of Luis Pastor Sánchez-Fernández

Luis Pastor Sánchez-Fernández has received several prestigious awards and honors in recognition of his outstanding contributions to interdisciplinary research and academic mentorship. He was honored with the Applied Research Award by the National Polytechnic Institute (IPN) in 2014, acknowledging his impactful work that bridges scientific innovation and real-world application. As a dedicated mentor, he has received two thesis advisor awards from IPN, celebrating the excellence of his supervised postgraduate research. Many of his doctoral and master’s students have earned honorable mentions and Cum Laude distinctions, with several joining Mexico’s National System of Researchers—a testament to his role in cultivating high-caliber scholars. Since 2007, he has held Level II membership in the National System of Researchers of Mexico (SNI), further solidifying his reputation as a leader in cross-disciplinary scientific advancement.

🧾 Conclusion

The candidate demonstrates exceptional cross-disciplinary impact, strong leadership, and a deep commitment to advancing science at the intersection of multiple fields. His contributions in biomechanics, environmental monitoring, signal processing, and intelligent systems showcase not only depth but also the integration of diverse disciplines to address complex societal challenges. He is an ideal nominee for the Cross-disciplinary Excellence Award. Minor enhancements in visibility, global partnerships, and documentation of publications would make his case even more compelling.

📚 Publications by Luis Pastor Sánchez-Fernández

1.Title: Dataset for Gait Assessment in Parkinson’s Disease Patients

  • Authors: (Not provided)
  • Year: (Not explicitly listed)
  • Type: Data Paper – Open Access
  • Citations: 0

2.Title: Innovations and Technological Advances in Healthcare Remote Monitoring Systems for the Elderly and Vulnerable People: A Scoping Review

  • Authors: (Not fully listed)
  • Year: (Not explicitly listed)
  • Type: Review – Open Access
  • Citations: 0

3.Title: Computer Model for Gait Assessments in Parkinson’s Patients Using a Fuzzy Inference Model and Inertial Sensors

  • Authors: (Not fully listed)
  • Journal: Artificial Intelligence in Medicine
  • Year: 2025
  • Citations: 2

4.Title: Motion Smoothness Analysis of the Gait Cycle, Segmented by Stride and Associated with the Inertial Sensors’ Locations

  • Authors: (Not fully listed)
  • Journal: Sensors
  • Year: 2025
  • Type: Article – Open Access
  • Citations: 1

5.Title: Network Long-Term Evolution Quality of Service Assessment Using a Weighted Fuzzy Inference System

  • Authors: (Not fully listed)
  • Journal: Mathematics
  • Year: 2024
  • Type: Article – Open Access
  • Citations: 0

6.Title: Biomechanics of Parkinson’s Disease with Systems Based on Expert Knowledge and Machine Learning: A Scoping Review

  • Authors: (Not listed)
  • Year: (Not explicitly listed)
  • Type: Review – Open Access
  • Citations: 0

7.Title: An Integrated Approach to the Regional Estimation of Soil Moisture

  • Authors: (Not fully listed)
  • Journal: Hydrology
  • Year: 2024
  • Type: Article – Open Access
  • Citations: 0

8.Title: A Fuzzy Inference Model for Evaluating Data Transfer in LTE Mobile Networks via Crowdsourced Data

  • Authors: (Not fully listed)
  • Journal: Computación y Sistemas
  • Year: 2024
  • Type: Article
  • Citations: 1

9.Title: Computer Model for an Intelligent Adjustment of Weather Conditions Based on Spatial Features for Soil Moisture Estimation

  • Authors: (Not fully listed)
  • Journal: Mathematics
  • Year: 2024
  • Type: Article – Open Access
  • Citations: 4

 

 

Arash Sioofy Khoojine | Energy and Sustainability | Best Academic Researcher Award

Published on by Research Hypothesis

Dr. Arash Sioofy Khoojine | Energy and Sustainability | Best Academic Researcher Award

Assistant Professor at Yibin University, China

Dr. Arash Sioofy Khoojine is an accomplished academic researcher specializing in applied statistics, complex networks, and financial time series analysis. With a Ph.D. in Statistics from Shanghai Jiaotong University and prior degrees in mathematical sciences from top institutions in China and Iran, he has developed a strong interdisciplinary foundation. His research focuses on statistical modeling of stock market turbulence, COVID-19 spread simulation using advanced SEIR models, and network-based predictive analytics, producing over a dozen peer-reviewed publications in high-impact journals such as Physica A, Entropy, IEEE Access, and European Physical Journal. He currently serves as an Assistant Professor at Yibin University in China, where he teaches econometrics and statistical applications in economics. Beyond academia, he contributes as a guest editor and reviewer for international journals and has authored a Springer book on pandemic modeling. Fluent in English, Persian, and Chinese, and skilled in multiple programming languages including R, Python, and C++, Dr. Khoojine exemplifies a globally engaged scholar whose work bridges theory with real-world applications in finance, health, and data science.

Professional Profile 

🎓 Education of Arash Sioofy Khoojine

Dr. Arash Sioofy Khoojine possesses a rich and diverse academic background in mathematics and statistics, built across top institutions in Iran and China. He earned his Ph.D. in Statistics from Shanghai Jiaotong University (2015–2020), graduating with distinction (GPA: A), where he focused on statistical network analysis of financial markets. Prior to this, he completed his M.Sc. in Probability and Mathematical Statistics at Central China Normal University (2012–2015) with an impressive GPA of 93.2/100, ranking among the top students. His foundational studies began with a B.Sc. in Pure Mathematics from Tabriz Payame Noor University (2000–2005), preceded by a Pre-University Diploma in Mathematics from Taleghani Pre-University Center in Tabriz (1998–1999). This solid progression reflects his long-standing dedication to mathematical sciences and his pursuit of academic excellence across multiple cultural and academic environments.

💼 Professional Experience of Arash Sioofy Khoojine

Dr. Arash Sioofy Khoojine has built a multifaceted professional career spanning academia, research, and software development. Currently serving as an Assistant Professor at Yibin University in China since 2020, he teaches statistics, econometrics, and mathematical applications in economics while actively engaging in interdisciplinary research. His earlier academic roles include a Lecturer position at Xi’an International Studies University, where he taught applied statistics, and a Teaching Assistant post at Central China Normal University, supporting coursework in probability theory. Before transitioning to academia, Dr. Khoojine worked as a C++ Programmer at Hekmat Pajouh Tabriz Co. in Iran from 2007 to 2011, where he honed his computational and analytical skills. His journey also includes early mathematics tutoring in subjects like pre-algebra and linear algebra from 2004 to 2007. This diverse professional background highlights his ability to integrate theoretical knowledge with practical application, across both academic and technical environments.

🔬 Research Interests of Arash Sioofy Khoojine

Dr. Arash Sioofy Khoojine’s research interests lie at the intersection of applied statistics, complex networks, and computational modeling, with a strong emphasis on real-world applications in finance, economics, and public health. He is particularly focused on statistical network analysis, exploring the structural dynamics of financial markets during periods of turbulence. His work also delves into time series modeling, stochastic processes such as fractional Brownian motion, and hypothesis testing within theoretical statistics. Additionally, he has made significant contributions to the development of SEIR-based epidemic models for predicting the spread of infectious diseases like COVID-19. With expertise in statistical programming and simulation using tools like R, Python, and Monte Carlo methods, Dr. Khoojine continues to push the boundaries of data-driven insight in both academic and applied settings.

🏅 Awards and Honors of Arash Sioofy Khoojine

Dr. Arash Sioofy Khoojine has been recognized multiple times for his academic excellence and research potential throughout his career. Early on, he ranked among the top 5% of national entrance exam participants in Iran and secured the 40th position in the prestigious Pre-University Entrance Exam in Tabriz. During his undergraduate studies, he consistently achieved first-grade distinctions in advanced mathematics courses such as complex functions, hyperbolic geometry, and mathematical analysis. His exceptional performance continued during his postgraduate education, earning him the title of top-ranked student in his master’s program at Central China Normal University. As a Ph.D. scholar at Shanghai Jiaotong University, he was awarded a competitive scholarship worth 200,000 RMB, along with a research fund of 60,000 RMB to support his innovative work in statistical network analysis. These honors reflect Dr. Khoojine’s unwavering commitment to academic excellence and his impactful contributions to the field of mathematics and statistics.

🧾 Conclusion 

Dr. Arash Sioofy Khoojine is highly suitable for the Best Academic Researcher Award. His academic journey is defined by interdisciplinary innovation, a strong international education, diverse research in critical areas like financial networks and public health, and prolific scholarly output. The blend of theoretical rigor and practical relevance in his work positions him as a standout candidate. His application reflects core values of academic excellence, international collaboration, and research relevance, all of which align well with the criteria for the Best Academic Researcher Award.

📚 Publications Top Noted

  1. Smart Farming Solutions: A User-Friendly GUI for Maize Tassel Estimation Using YOLO With Dynamic and Fixed Labelling, Featuring Video Support

    • Authors: Ata Jahangir Moshayedi; Zhonghua Wang; Maryam Sharifdoust; Arash Sioofy Khoojine; Wei Zhang; Amin Kolahdooz; Jiandong Hu
    • Year: 2025
    • Citation: IEEE Access,
    • DOI: 10.1109/ACCESS.2025.3554984
  2. Dynamic Anomaly Detection in the Chinese Energy Market During Financial Turbulence Using Ratio Mutual Information and Crude Oil Price Movements
    • Authors: Lin Xiao; Arash Sioofy Khoojine
    • Year: 2024
    • Citation: Energies,
    • DOI: 10.3390/en17235852

  3. Interconnectedness of Systemic Risk in the Chinese Economy: The Granger Causality and CISS Indicator Approach

    • Authors: Omid Farkhondeh Rouz; Hossein Sohrabi Vafa; Arash Sioofy Khoojine; Sajjad Pashay Amiri
    • Year: 2024
    • Citation: Risk Management,
    • DOI: 10.1057/s41283-024-00142-8

  4. Analyzing Volatility Patterns in the Chinese Stock Market Using Partial Mutual Information-Based Distances

    • Authors: Arash Sioofy Khoojine; Ziyun Feng; Mahboubeh Shadabfar; Negar Sioofy Khoojine
    • Year: 2023
    • Citation: The European Physical Journal B,
    • DOI: 10.1140/epjb/s10051-023-00628-6
  5. A State-of-the-Art Review of Probabilistic Portfolio Management for Future Stock Markets
    • Authors: Longsheng Cheng; Mahboubeh Shadabfar; Arash Sioofy Khoojine
    • Year: 2023
    • Citation: Mathematics,
    • DOI: 10.3390/math11051148

 

 

 

Anuradha Choudhury | Computer Science and Artificial Intelligence | Women Researcher Award

Published on by Research Hypothesis

Ms. Anuradha Choudhury | Computer Science and Artificial Intelligence | Women Researcher Award

Student at OUTR, india

Anuradha Rani Choudhury is a dedicated and aspiring researcher currently pursuing her Master of Technology at OUTR, Bhubaneswar, with an impressive CGPA of 9.20. She holds a Bachelor’s degree in Technology from ITER, Bhubaneswar, and has demonstrated strong technical acumen through impactful projects in machine learning, including sentiment analysis and disease prediction models, both achieving high accuracy. With certifications in machine learning, web development, and Android development, she exhibits a strong foundation in diverse technological domains. Anuradha has actively participated in seminars and workshops, showcasing her commitment to continuous learning. Her proficiency in programming languages such as Python, Java, and C, along with web technologies, complements her research skills. Additionally, her involvement in extracurricular activities like sports, NCC, and student leadership reflects a well-rounded personality. While she is at an early stage in her research journey, Anuradha shows promising potential for future contributions to the field of technology and applied sciences.

Professional Profile 

🎓 Education of Anuradha Rani Choudhury

Anuradha Rani Choudhury has built a strong academic foundation in the field of technology and engineering. She is currently pursuing her Master of Technology (M.Tech) at Odisha University of Technology and Research (OUTR), Bhubaneswar, maintaining an excellent CGPA of 9.20 (2023–2025). She previously earned her Bachelor of Technology (B.Tech) from ITER, Bhubaneswar, graduating with a CGPA of 7.73 in 2022. Her earlier academic journey includes completing 12th grade (Science) from Stewart Science College, Cuttack under the CHSE Board, scoring 57.5%, and her 10th grade from D.A.V. Public School, Berhampur under the CBSE Board, where she achieved a commendable 83.6%. Her academic progression highlights her consistent dedication and growth in technical education.

💼 Professional Experience of Anuradha Rani Choudhury

Anuradha Rani Choudhury has gained valuable hands-on experience through academic projects and certified training programs in the fields of machine learning, data science, and software development. She successfully led a Sentiment Analysis project in 2024, where she implemented advanced models such as Naïve Bayes, Logistic Regression, SVM, and Neural Networks, achieving an outstanding . In 2023, she developed a Disease Prediction Model using patient physiological data, which delivered an impressive . Additionally, Anuradha has completed certification-based training in Machine Learning (Project Mantra), Web Development (Verzeo), and Android Development (Pixaflip Technologies). Her participation in workshops and seminars, along with her technical proficiency in languages like Python, Java, and SQL, further reflects her readiness for research and real-world problem-solving in the tech industry.

🔬 Research Interest of Anuradha Rani Choudhury

Anuradha Rani Choudhury’s research interests lie primarily in the dynamic fields of Machine Learning, Artificial Intelligence, and Data Science, with a strong inclination toward applying these technologies in healthcare and human-centered applications. She is passionate about exploring predictive modeling, sentiment analysis, and disease diagnosis systems that leverage advanced algorithms to generate actionable insights from complex data. Her academic projects reflect her enthusiasm for building intelligent systems capable of improving decision-making and automation. Anuradha is also interested in the integration of deep learning and neural networks to enhance model accuracy and efficiency. As she progresses in her academic and professional journey, she aims to contribute to impactful, real-world solutions through innovative and ethically grounded research in intelligent technologies.

🏅 Awards and Honors of Anuradha Rani Choudhury

Anuradha Rani Choudhury has been recognized for her diverse talents and active participation in both academic and extracurricular arenas. She earned the 2nd prize in poem writing at the Ganjam Kalaparishad in 2017, showcasing her creative expression and literary flair. In the same year, she also secured the 2nd prize in athletics at D.A.V. Public School, reflecting her athletic spirit and commitment to physical excellence. Additionally, she holds the prestigious NCC “A” Certificate (2013–2015), highlighting her discipline, leadership, and dedication to national service. These honors demonstrate her well-rounded personality, balancing academic rigor with artistic and physical achievements.

Conclusion

Anuradha Rani Choudhury is a promising emerging researcher with a solid academic background, project experience in machine learning, and proactive engagement in technical skill development. However, to be highly competitive for the Best Researcher Award, particularly at national or international levels, she would benefit from Publishing research papers. Involving in long-term, original research with measurable impact. Demonstrating broader research influence and leadership.

📚 Publications Top Noted

  1. Title: Real-time Face Mask Detection in Nuclear Power Plants: A Deep Learning Framework Using Hybrid CNN-MobileNetV2 Architecture
    Authors: S.R. Panda, A.R. Choudhury, A.K. Mishra, S. Mohanty, S. Mishra
    Year: 2025
    Citation: 0
    Published In: Intelligent Computing Techniques and Applications, pp. 87–91

  2. Title: A Comparative Analysis of Deep Learning Techniques for Face Mask Detection System in Nuclear Power Plant
    Authors: S.R. Panda, A.R. Choudhury, A.K. Mishra
    Year: 2025
    Citation: 0
    Published In: 2025 10th International Conference on Signal Processing and Communication

  3. Title: Enhancing Lung Cancer Detection by Leveraging Machine Learning Algorithms
    Authors: A.R. Choudhury, S.R. Panda, A.K. Mishra, J. Routray
    Year: 2025
    Citation: 0
    Published In: 2025 10th International Conference on Signal Processing and Communication

  4. Title: Deep Learning Based Automated Lung Cancer Detection from CT Scan Leveraging Transfer Learning
    Authors: A.R. Choudhury, J. Rautray, P. Mishra, M. Kandpal, S.S. Dalai
    Year: 2025
    Citation: 0
    Published In: Procedia Computer Science, Volume 258, Pages 2748–2759

  5. Title: Face Mask Detection System for Safety Assurance in Nuclear Power Facilities from Harmful and Hazardous Substance Using Convolutional Neural Network and Image Processing
    Authors: S.R. Panda, A.R. Choudhury, A.K. Mishra
    Year: 2025
    Citation: 0
    Published In: International Journal of Computer Applications 975, 8887

 

 

 

 

 

 

Ying Zhang | Molecular Biology | Best Researcher Award

Published on by Research Hypothesis

Ms. Ying Zhang | Molecular Biology | Best Researcher Award

professor at The First Hospital of China Medical University, China

Dr. Ying Zhang, born in March 1989, is a professor-level senior researcher, doctoral supervisor, and postdoctoral co-supervisor at the Department of Cardiovascular Medicine, First Affiliated Hospital of China Medical University. Renowned for her contributions to cardiovascular research, she has authored 26 high-impact publications, including papers in Cell Research, Circulation Research, and Science Advances, accumulating over 615 citations. Her work has led to 11 patent applications, with 3 already authorized, focusing on innovative therapeutic targets for cardiovascular and renal diseases. Dr. Zhang has secured over 2 million yuan in competitive research funding and received numerous honors, including Liaoning Excellent Youth and awards from scientific and women’s innovation associations. She is an active member of national academic committees, a reviewer for prestigious journals and funding agencies, and a dedicated mentor to award-winning students. Her work exemplifies excellence in research, innovation, academic leadership, and scientific advancement.

Professional Profile 

🎓 Education of Ying Zhang

Dr. Ying Zhang pursued her academic training in medicine and biomedical research with a strong focus on cardiovascular science. She completed her undergraduate and postgraduate studies at China Medical University, one of the leading medical institutions in China. Her rigorous academic foundation laid the groundwork for her advanced research into molecular mechanisms of cardiovascular disease. Following her doctoral degree, she continued her academic journey as a postdoctoral researcher, further deepening her expertise in translational cardiovascular medicine and molecular biology. Her educational background, combined with her clinical and research training, has shaped her into a dynamic leader in the field of cardiovascular medicine.

💼 Professional Experience of Ying Zhang

Dr. Ying Zhang holds the position of professor-level senior researcher in the Department of Cardiovascular Medicine at the First Affiliated Hospital of China Medical University, where she also serves as a doctoral and postdoctoral supervisor. With extensive experience in both clinical and laboratory settings, she has made significant contributions to cardiovascular research, particularly in protein post-translational modifications and small-molecule therapeutics. Over the years, she has taken on numerous leadership roles, including serving as a review expert for the National Natural Science Foundation of China, editorial board member for several core journals, and academic committee member of national and provincial medical associations. In addition, Dr. Zhang actively engages in teaching, mentorship, and textbook compilation, reflecting her well-rounded expertise in clinical practice, scientific innovation, and academic leadership.

🔬 Research Interest of Ying Zhang

Dr. Ying Zhang focuses her research on the molecular mechanisms underlying cardiovascular diseases, with a particular interest in protein post-translational modifications, including acetylation and lactylation, and their roles in cardiac pathology. Her work explores novel therapeutic targets such as BAF155, Septin4, and aldolase A (ALDOA), aiming to develop innovative small-molecule compounds for the prevention and treatment of heart disease and related organ damage. She is also deeply involved in translational medicine, bridging basic research with clinical applications. Her recent projects include the development of diagnostic kits, new biomarkers, and targeted therapies, all of which contribute to advancing personalized medicine in cardiology. Through her multidisciplinary approach, Dr. Zhang continues to make impactful contributions to both fundamental science and practical clinical advancements in cardiovascular health.

🏆 Awards and Honors of Ying Zhang

Dr. Ying Zhang has received numerous prestigious awards and honors in recognition of her outstanding contributions to cardiovascular research and scientific innovation. She has been honored as a Liaoning Excellent Youth, Shenyang Science and Technology Innovation Talent, and Leading Talent of the “Xingshen Talent” Program, reflecting her regional and national impact. She was selected as a top U35 young scientist and twice nominated for the China Young Women Scientists Award (Liaoning Province). Her achievements have also earned her the First Prize of the Liaoning Science and Technology Progress Award (2021) and the Technical Advanced Award at the 2024 Shenyang Women’s Science and Technology Innovation Exhibition. In 2025, she received the “She Power – Light of Science and Technology” Award and the Second Prize at the Purple Mountain Cardiovascular Forum and Youth Experts Innovation Forum. Additionally, she serves in several influential roles, including Executive Committee Member of the Shenyang Women’s Federation and Director of the Shenyang Association of Women Scientists and Technologists, further showcasing her leadership and commitment to advancing science and empowering women in research.

🏁 Conclusion

Dr. Zhang Ying exemplifies a highly accomplished, forward-looking, and impactful medical researcher. Her record reflects sustained excellence in publication, innovation, academic service, mentorship, and funding success. These attributes align strongly with the core criteria of the Best Researcher Award.

📚 Publications Top Noted

  1. Title: The role of imaging parameters in the diagnosis of developmental dysplasia of the hip based on artificial intelligence: A perspective
    Year: Not specified
    Type: Review, Open Access
    Citations: 0

  2. Title: The deubiquitination-PARylation positive feedback loop of the USP10-PARP1 axis promotes DNA damage repair and affects therapeutic efficacy of PARP1 inhibitor
    Journal: Oncogene
    Year: 2025
    Citations: 0

  3. Title: Advances in the study of exosomes in cardiovascular diseases
    Year: Not specified
    Type: Review, Open Access
    Citations: 18

  4. Title: The role of serine/threonine protein kinases in cardiovascular disease and potential therapeutic methods
    Year: Not specified
    Type: Review, Open Access
    Citations: 5