Mr. Shuaikang Chang | thermal | Best Researcher Award

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Mr. Shuaikang Chang | thermal | Best Researcher Award

Mr. Shuaikang Chang, CHONGQING UNIVERSITY, China

Shuaikang Chang is a dedicated Ph.D. candidate at Chongqing University, China, specializing in Safety Science and Engineering. His research focuses on the transformative potential of ultra-high-pressure abrasive waterjet machining, particularly its application for thermosensitive and hard-to-machine materials. With a strong foundation in Safety Engineering from his undergraduate studies, Chang has contributed significantly to the field through his pioneering research on the thermal deformation mechanisms in abrasive waterjet machining. He has actively participated in national and special technology innovation grants, where his work addresses advanced engineering solutions for challenging machining processes. Chang’s research collaborations with fellow experts have yielded insights into the thermal effects, cycling mechanisms, and microstructural transformations associated with machining titanium alloys, enhancing their applicability across industries.

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Summary of Suitability for the Research for Best Researcher Award

Shuaikang Chang’s focused research, early contributions through publication, and engagement in high-impact projects position him as a competitive candidate for the Research for Best Researcher Award. His work aligns with the award’s objective to honor outstanding research contributions and innovation, making him a strong contender for this recognition.

🎓 Education

Shuaikang Chang is currently pursuing his Ph.D. in Safety Science & Engineering through an integrated Master’s and Ph.D. program at Chongqing University. He completed his Bachelor of Engineering (BEng) in Safety Engineering at the same institution, where he developed a solid grounding in engineering principles and safety protocols. During his postgraduate studies, Chang has been associated with the School of Resources and Safety Engineering, Chongqing University. His academic journey reflects a progressive focus on machining technologies and material safety, driven by an interdisciplinary approach. Chang’s coursework and practical experience have centered on the innovative application of waterjet machining, supported by his participation in specialized research projects and high-impact studies that push the boundaries of conventional engineering. He has skillfully leveraged academic resources to deepen his expertise, aligning with his aspiration to create safer and more effective industrial solutions.

💼  Experience 

Shuaikang Chang has been an active postgraduate researcher at the School of Resources and Safety Engineering, Chongqing University, since 2021. His experience primarily revolves around developing advanced abrasive waterjet machining techniques tailored for complex materials. Chang’s research evaluates ultra-high-pressure abrasive waterjets for thermosensitive and hard-to-machine materials, focusing on thermal cycling mechanisms and deformation behaviors. His expertise also extends to cryogenic techniques, investigating the effects of liquid nitrogen-assisted waterjet machining on material properties. Throughout his studies, he has contributed to multiple high-profile research grants, including a National Natural Science Foundation of China project that examined rock fracturing mechanisms using flash boiling liquid carbon dioxide jets. Chang’s insights have informed safer, more efficient machining processes, as evidenced by his publications in respected journals. His work reflects both technical rigor and a commitment to advancing machining technology for industrial applications.

🏅  Awards and Honors

Shuaikang Chang has received recognition for his contributions to engineering and safety science. His achievements include awards related to his pioneering research on abrasive waterjet machining, where he has advanced the understanding of thermal effects and deformation mechanisms on complex materials. Through his involvement in significant research grants from the National Natural Science Foundation of China and the Special Key Project for Technological Innovation in Chongqing, Chang has demonstrated excellence in both academic and applied research settings. His work has been acknowledged for its impact on the field of high-pressure waterjet technology, earning him the esteem of his peers and supervisors. Chang continues to receive commendations for his studies on material properties and safety protocols in machining processes, solidifying his reputation as a leading researcher within his field.

🌍  Research Focus 

Shuaikang Chang’s research focuses on the development and application of ultra-high-pressure abrasive waterjet machining for materials that are traditionally difficult to process. His work investigates the thermal deformation and material property changes induced by high-pressure jet technology, with a particular emphasis on thermosensitive alloys like Ti-6Al-4V. Chang’s research explores how varying jet pressures and the introduction of liquid nitrogen affect the microstructure and macro-properties of materials, aiming to extend the applicability of this machining technology. His studies on the deformation mechanisms and thermal cycling behaviors have the potential to influence several industries by improving safety, efficiency, and material integrity in manufacturing processes. Chang’s research is backed by notable grants, including projects under the National Natural Science Foundation of China, allowing him to push the boundaries of abrasive machining for broader, innovative applications.

📖 Publications Top Notes

Title: Thermal effects and deformation mechanisms in abrasive waterjet machining: insights from Ti-6Al-4V alloy for broader applications

 

Dr. Fatima Ezzahra BELHARCHA | Corrosion | Best Researcher Award

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Dr. Fatima Ezzahra BELHARCHA | Corrosion | Best Researcher Award

Dr. Fatima Ezzahra BELHARCHA, Ibn Tofail University, Morocco

Fatima Ezzahra Belharcha, born on October 21, 1989, in Marrakech, Morocco, is a distinguished researcher in physical chemistry with a specialization in corrosion inhibition and environmental chemistry. She holds a State Doctorate from Ibn Tofail University, Kenitra, Morocco, achieved in 2023, following her Master’s degree in Functional Materials and her Bachelor’s in Physical Chemistry of Materials from Caddy Ayyad University. Fatima has actively contributed to preserving cultural heritage through corrosion resistance research, focusing on archaeological conservation. As a patent-holder and a skilled advisor in intellectual property, she offers valuable expertise to SB ENERGIE and serves as an administrator at the Ibn Tofail University’s Center for Analysis and Technology Transfer. Fatima’s commitment to academia and environmental preservation is evident in her ongoing research and teaching efforts, particularly in materials science and conservation.

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Summary of Suitability for the Research for Best Researcher Award

Dr. Fatima Ezzahra Belharcha demonstrates remarkable depth in research and innovation within the fields of physical chemistry and materials science, specifically focusing on corrosion protection for historical artifacts and the conservation of iron-wood composites. Her expertise is evidenced through multiple patents aimed at advanced formulations for corrosion inhibition, highlighting her innovative contributions to this niche area in materials preservation. Additionally, Dr. Belharcha has co-authored published research on electrochemical behavior and corrosion resistance, providing insights that blend practical conservation needs with scientific rigor. Her patents, including those for anticorrosion and antifungal compositions, underscore her commitment to safeguarding cultural heritage, while her hands-on roles in academic and professional capacities demonstrate her strong project management and technical expertise.

🎓 Education

Fatima Ezzahra Belharcha’s academic journey is marked by her extensive studies in physical chemistry and materials science. She earned her State Doctorate Diploma in 2023 from Ibn Tofail University, Kenitra, with a focus on Physical Chemistry and Environment. Prior to this, she completed a Technical Master in Functional Materials in 2014 and a Bachelor’s degree in Physical Chemistry of Materials in 2012 from Caddy Ayyad University, Marrakech. Her foundational education began with a Deust in Mathematics, Computer Science, Physics, and Chemistry in 2011, and she graduated with a Baccalaureate in Experimental Science in 2008. Fatima’s academic background is underpinned by a dedication to understanding environmental conservation through materials science, preparing her for a career centered on impactful research and technological innovation in material corrosion protection.

💼  Experience

Fatima has been an administrator at the Center for Analysis and Technology Transfer at Ibn Tofail University since 2016, where she manages various academic responsibilities, including roles as a Patent Filing Focal Point and as the DRX and FTIR specialist. Her efforts extend to project management, entrepreneurship incubation, and technological expertise transfer. Since 2018, she has contributed as a member of the National Network of Expert-Valuators and has offered her intellectual property and R&D advisory expertise to SB ENERGIE. Recently, she has served as an advisor and researcher with the Centre Technique de Plasturgie et de Caoutchouc. With her cross-functional roles, Fatima brings extensive experience in overseeing critical analysis projects, incubating innovative solutions, and driving intellectual property development in corrosion protection for historical preservation.

🏅Awards and Honors

Fatima Ezzahra Belharcha has earned notable recognition in physical chemistry and materials science, with several patents registered in corrosion inhibition formulations. Her most significant patents include unique anticorrosion and antifungal compositions tailored for the preservation of metal-wood archaeological artifacts. These patents showcase her innovation in developing eco-friendly corrosion inhibitors using polyethylene glycol. She has also presented her research internationally, such as at the Virtual Conference on Chemistry and its Applications in 2020 and at a conference in 2022, focusing on corrosion resistance in archaeological conservation. Her pioneering contributions are recognized nationally, where she has played a vital role in intellectual property advisement and materials conservation, bridging academia and industry.

🌍  Research Focus

Fatima’s research is centered on corrosion inhibition and materials conservation, particularly for archaeological and historical artifacts. Her work investigates electrochemical behaviors and corrosion-resistant treatments for metal-wood composites, utilizing polyethylene glycol-based formulations that offer antifungal and visual quality-indicator properties. These formulations play a crucial role in preserving artifacts from corrosion in neutral media. In collaboration with the Centre Technique de Plasturgie et de Caoutchouc and SB ENERGIE, she is also exploring biofongicides and corrosion inhibitors for industrial applications. Fatima’s research aims to advance sustainable conservation techniques, providing essential solutions for heritage preservation while reducing environmental impact.

📖 Publication Top Notes

  • Title: “Long-term electrochemical and biological study of archaeological iron-wood composite impregnated with 10% PEG-200 solution”
  • Title: “Electrochemical Behavior and Corrosion Resistance of Steel in Waterlogged Archaeological Wood Impregnation Solutions: Effect of Operating Parameters and Corrosion Products”

Ms. BAMULI SWAPNA | computer science | Women Researcher Award

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Ms. BAMULI SWAPNA | computer science | Women Researcher Award

Ms. BAMULI SWAPNA, VAAGDEVI DEGREE AND PG COLLEGE, India

Pursuing a Ph.D. at SR University, Warangal, since 2023, [Name] has established herself as a dedicated scholar and educator in Computer Science and Engineering. She holds an M.Tech from CVSR Engineering College (2011) and an M.Sc in Computer Science from Kakatiya University (2008). Her academic journey began with a B.Sc from Chaitanya Degree and P.G College (2006) and includes intermediate studies at S.V.S Junior College for Girls. Throughout her career, she has been actively involved in research and teaching, focusing on innovative approaches in machine learning and wireless sensor networks. Recognized for her contributions to academia, she has earned several awards and accolades, including the Best Women Faculty Award and the Dr. Sarvepalli Radhakrishnan Best Teacher & Researcher Award in Computer Science (2024). [Name] continues to inspire students and colleagues alike, making significant strides in her field.

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Summary of Suitability for the Research for Women Researcher Award

The candidate’s comprehensive background in research, teaching, and professional development aligns strongly with the Research for Women Researcher Award. Her dedication to advancing her knowledge and supporting the academic community makes her a strong candidate for this recognition. Her achievements and continuous efforts in research and professional development showcase her suitability, and she stands as an inspiring figure in the realm of computer science research for women.

🎓  Education 

[Name] has an impressive educational background in Computer Science and Engineering. She is currently pursuing her Ph.D. at SR University, Warangal (2023). She completed her M.Tech in Computer Science and Engineering in 2011 from CVSR Engineering College, affiliated with JNTU University in Hyderabad. Prior to that, she earned her M.Sc in Computer Science from Kakatiya University in 2008. Her undergraduate education includes a B.Sc degree obtained in 2006 from Chaitanya Degree and P.G College, also affiliated with Kakatiya University. She completed her Intermediate studies in 2003 at S.V.S Junior College for Girls, Warangal. Her foundational education began at St. Ann’s High School in Karimnagar, where she completed her Secondary School Certificate in 2001. This comprehensive educational background has equipped [Name] with a strong theoretical and practical foundation in computer science, enabling her to contribute meaningfully to research and academia.

💼 Experience 

[Name] has a wealth of experience in academia, with a focus on teaching and research in Computer Science and Engineering. Currently pursuing her Ph.D., she has worked as a faculty member and researcher, contributing significantly to the field. Her research interests include machine learning, wireless sensor networks, and optimization techniques. [Name] has also been involved in organizing various workshops and conferences, such as the Refresher Course on Database Security and workshops on research methodology, demonstrating her commitment to education and professional development. In addition to her teaching responsibilities, she has participated in numerous online courses, enhancing her expertise in data structures, machine learning, and wireless communications. Her active engagement in academia and research has not only contributed to her professional growth but has also inspired her students and peers. With her diverse experience, [Name] is well-equipped to tackle complex challenges in her field and drive innovation.

🏅   Awards and Honors 

[Name] has received several prestigious awards and honors throughout her academic career, reflecting her dedication and excellence in the field of Computer Science and Engineering. She was awarded the Best Women Faculty Award by Novel Research Academy, recognizing her exceptional contributions to education. In 2024, she received the Dr. Sarvepalli Radhakrishnan Best Teacher & Researcher Award in Computer Science, underscoring her impact as an educator and researcher. Additionally, she has been recognized as an Editorial Reviewer member in the International Journal of Innovative Research in Technology, showcasing her expertise and commitment to advancing research in her field. Her accolades serve as a testament to her hard work, dedication, and passion for teaching and research. [Name] continues to inspire her students and colleagues, fostering an environment of innovation and academic excellence within the educational community.

🌍   Research Focus 

[Name]’s research focus centers on the intersection of machine learning and wireless sensor networks, with an emphasis on optimizing data transmission and improving network security. She is particularly interested in leveraging machine learning techniques to enhance the performance of sensor nodes and develop efficient intrusion detection systems. Her work addresses critical challenges in agriculture and infrastructure, contributing to the broader goal of integrating renewable energy solutions into these sectors. [Name] has published several research papers in reputable journals, exploring topics such as sentiment analysis, packet transmission, and security in wireless networks. Through her innovative research, she aims to develop practical applications that can significantly impact real-world challenges, particularly in renewable energy integration. As she continues her Ph.D. studies, [Name] seeks to further her contributions to the field and inspire future generations of researchers in Computer Science and Engineering.

📖 Publication Top Notes

  • Title: A Reliable and Energy-Efficient Routing Transport Protocol for Distributed Wireless Sensor Networks
  • Title: Scalable Network Architectures for Distributed Wireless Sensor Networks
  • Title: Improving Security In Wireless Sensor Networks Through Machine Learning–Based Intrusion Detection System
  • Title: Integrating Machine Learning with Wireless Sensor Networks in Agriculture
  • Title: Improving Performance of Cost-Effective Sensor Nodes With Machine Learning Field Calibration Method

Dr. Rana Sabouni | Detection | Academic Excellence Award

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Dr. Rana Sabouni | Detection | Academic Excellence Award

Dr. Rana Sabouni, American University of Sharjah, United Arab Emirates

Dr. Rana Sabouni is a prominent figure in the field of Chemical Engineering, currently serving as an Associate Professor at the American University of Sharjah (AUS). She holds a Ph.D. and M.Sc. in Chemical and Biochemical Engineering from the University of Western Ontario, and a B.S. in Chemical Engineering and Petroleum Science from the University of United Arab Emirates. Dr. Sabouni’s research focuses on advanced materials, particularly Metal Organic Frameworks (MOFs), with applications in environmental sustainability, drug delivery systems, and CO2 adsorption. She has received numerous accolades, including the Outstanding Interdisciplinary Research Award and various research grants from AUS. Her dedication to innovative solutions in chemical engineering extends into her teaching, where she inspires future engineers through a combination of theory and practical applications.

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Summary of Suitability for the Research for Academic Excellence Award:

Dr. Rana Sabouni, an associate professor in the Chemical Engineering Department at the American University of Sharjah, presents a strong profile for the Research for Academic Excellence Award. She holds a Ph.D. and M.Sc. in Chemical and Biochemical Engineering from the University of Western Ontario and has over a decade of academic experience. Her research focuses on cutting-edge areas such as Metal Organic Frameworks (MOFs), CO2 adsorption processes, drug delivery systems, and environmental pollutant detection. These are not only highly relevant to contemporary global challenges but also contribute significantly to the fields of chemical engineering and interdisciplinary research.

🎓   Education 

Dr. Rana Sabouni completed her Ph.D. in Chemical and Biochemical Engineering at the University of Western Ontario in 2013. Her doctoral work focused on advanced materials for environmental and biochemical applications, particularly in the areas of Metal Organic Frameworks (MOFs) and CO2 capture. Prior to that, she earned her M.Sc. in Chemical and Biochemical Engineering from the same university in 2009, concentrating on sustainable chemical processes. Dr. Sabouni also holds a B.S. (Hons.) in Chemical Engineering and Petroleum Science from the University of United Arab Emirates, which she completed in 2006. Her comprehensive educational background has provided her with a deep understanding of chemical processes, enabling her to explore innovative solutions for environmental challenges and drug delivery systems.

💼    Experience 

Dr. Rana Sabouni has extensive academic experience, currently serving as an Associate Professor at the American University of Sharjah since 2020. She previously held the position of Assistant Professor at the same institution from 2014 to 2020. Before joining AUS, she worked as a Post-doctoral Fellow at the University of Western Ontario, where she focused on environmental sustainability research. She has also contributed as a Research and Teaching Assistant at the University of Western Ontario from 2007 to 2013, where she developed her expertise in chemical and biochemical engineering. Dr. Sabouni’s practical and research experience spans across multiple areas, including CO2 adsorption, environmental applications of MOFs, and the development of anticancer drug delivery systems.

🏅   Awards and Honors 

Dr. Rana Sabouni has received numerous awards and grants for her research and academic contributions. In 2023-2024, she was honored with the Outstanding Interdisciplinary Research Award for her innovative work in sensing applications. She has also secured several Faculty Research Grants, including funding for projects like developing fluorescence-based biosensing platforms and MOF-based photo-reactors for pollutant removal. Notably, Dr. Sabouni received the Teaching Excellence Award at AUS for the academic year 2019-2020. She has also been recognized with prestigious scholarships, including the Ontario Graduate Scholarship and MITACs Accelerated Graduate Scholarship during her time at the University of Western Ontario. Dr. Sabouni’s accolades reflect her commitment to advancing chemical engineering research and education.

🌍  Research Focus 

Dr. Rana Sabouni’s research primarily centers on Metal Organic Frameworks (MOFs), with a strong emphasis on their environmental and biomedical applications. Her work on MOFs for CO2 adsorption and micropollutant removal from aqueous solutions addresses critical global environmental challenges. In addition to environmental sustainability, she is deeply involved in developing novel nanocarriers for anticancer drug delivery, exploring the effects of external stimuli such as light, ultrasound, and microwaves on drug release profiles. Dr. Sabouni is also focused on advancing biosensor technologies, specifically in the detection of heavy metals and pollutants. Her research combines chemistry, material science, and engineering to offer innovative solutions in both environmental sustainability and healthcare.

📖 Publication Top Notes

  • Title: Carbon dioxide capturing technologies: a review focusing on metal organic framework materials (MOFs)
    Cited by: 238
  • Title: A novel combined manufacturing technique for rapid production of IRMOF-1 using ultrasound and microwave energies
    Cited by: 161
  • Title: Anti-cancer drug delivery using metal organic frameworks (MOFs)
    Cited by: 115
  • Title: Micropollutants removal from water using microfiltration membrane modified with ZIF-8 metal organic frameworks (MOFs)
    Cited by: 105
  • Title: Biomedical applications of metal− organic frameworks for disease diagnosis and drug delivery: a review
    Cited by: 99

 

Prof. Yankuo Qiao | Finance | Best Researcher Award

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Prof. Yankuo Qiao | Finance | Best Researcher Award

Prof. Yankuo Qiao, The George B. Delaplaine Jr. School of Business, Hood College, United States

Yankuo Qiao is an Assistant Professor of Finance at Hood College’s George B. Delaplaine Jr. School of Business, where he began in August 2022. Prior to this, he held the position of Visiting Assistant Professor of Finance at Oakland University. His academic journey is marked by a strong focus on finance, having completed a Ph.D. in Management from Rutgers Business School, specializing in Finance and Economics. His research interests span corporate finance, governance, behavioral finance, and corporate social responsibility, among others. Dr. Qiao’s work has been presented at numerous prestigious conferences globally, such as the American Finance Association and the Western Economic Association. With a passion for teaching and mentoring, he imparts knowledge across various finance and management disciplines. His academic achievements and contributions continue to shape the next generation of business leaders while advancing research in finance.

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Summary of Suitability for the Research for Best Researcher Award

Dr. Yankuo Qiao is a highly qualified candidate for the Research for Best Researcher Award. With a Ph.D. in Management from Rutgers Business School, Dr. Qiao has made notable contributions in finance and economics, particularly in corporate finance, governance, and corporate social responsibility. His academic journey is marked by a Dean’s Dissertation Fellowship, which reflects his scholarly excellence.

🎓  Education 

Yankuo Qiao holds a Ph.D. in Management with a focus on Finance and Economics from Rutgers Business School, completed in May 2021. His dissertation, “Three Essays in Corporate Management and Firm Policy,” reflects his deep expertise in corporate finance, with a committee chaired by renowned professors Ivan Brick, Darius Palia, and others. His academic journey began with a B.Sc. in Economics from the School of Business, Shandong University in May 2014. He later pursued an M.Sc. in Quantitative Finance from Rutgers Business School, graduating in May 2016, further enhancing his skills in financial analysis, corporate governance, and investment strategies. His education, combined with his research, has given him a solid foundation for his teaching and professional career, particularly in areas such as corporate governance, behavioral finance, and international business.

💼  Experience

Dr. Yankuo Qiao is currently serving as an Assistant Professor of Finance at Hood College, where he has been since August 2022. He previously held the role of Visiting Assistant Professor of Finance at Oakland University from August 2021 to July 2022. During his academic tenure, he has taught various finance and business-related courses, including Managerial Finance, Corporate Finance, and International Business, at both undergraduate and graduate levels. His expertise extends beyond teaching, as he is also actively involved in academic research and publishing, with a particular focus on corporate governance, corporate social responsibility, and behavioral finance. His teaching experience spans esteemed institutions like Rutgers Business School, where he served as a primary instructor for advanced finance courses. Dr. Qiao’s experience also includes organizing workshops, contributing to curriculum development, and mentoring students in research methodologies.

🏅  Awards and Honors

Throughout his academic career, Dr. Yankuo Qiao has garnered several accolades that reflect his dedication to excellence. Notably, he was awarded the prestigious Dean’s Dissertation Fellowship for Academic Excellence at Rutgers Business School during his Ph.D. studies. His dissertation work, recognized for its insightful contributions to corporate finance and firm policy, earned him further acclaim in his field. Additionally, Dr. Qiao’s research has been featured in top-tier conferences, such as the American Finance Association (AFA) Annual Meeting and the Financial Management Association Annual Meeting. His paper presentations have been well-received at notable venues like the Western Economic Association International, where his innovative research on corporate governance and behavioral finance continues to influence academia. He has also been invited to numerous seminars and conferences worldwide, showcasing his expertise and dedication to advancing financial research.

🌍 Research Focus 

Dr. Yankuo Qiao’s research primarily revolves around corporate finance, governance, and social responsibility, with a keen interest in understanding how corporate decision-making affects firm performance. He explores the dynamics of corporate governance, particularly in how internal and external mechanisms influence a CEO’s investment cycle and decision-making. His research also delves into behavioral finance, examining the psychological factors that affect financial decisions, and corporate social responsibility, exploring its impact on firm value and sustainability. Additionally, Dr. Qiao applies machine learning techniques to financial analysis, investigating the implications of textual data in finance and accounting. His current projects include studies on hate crimes’ impact on analyst behaviors, CEO career experiences in China, and the nexus of top management teams’ structures with stock liquidity and valuation. His forward-looking research is presented at global conferences, contributing significantly to the fields of finance and governance.

 📖 Publuaction Top Notes

  • The Application in the Portfolio of China’s A-share Market with Fama-French Five-Factor Model and the Robust Median Covariance Matrix
    • Citation: 9
  • Impact of Internal Governance on a CEO’s Investment Cycle
    • Citation: 6
  • The impact of external business environment on corporate social responsibility: Theoretical implications and empirical evidence
    • Citation: 3
  • CEO turnover, stakeholder management, and dynamics between corporate social responsibility and firm performance
    • Citation: 2
  • Attunement theory, CEO’s cyclical influence on corporate social responsibility and firm value
    • Citation: 2

Dr. MENGYING YAN | biomaterial | Women Researcher Award

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Dr. MENGYING YAN | biomaterial | Women Researcher Award

Dr. MENGYING YAN, The Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China

Mengying Yan is an accomplished researcher specializing in neural interface materials, bio-3D printing, and cell culture technology. She holds a Ph.D. in Pharmaceutical, Food, and Cosmetic Sciences from the University of Genoa, Italy, and has extensive experience in food science and nutrition. Mengying’s career spans over five years in academic and research environments, primarily at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. She has worked as an assistant researcher and postdoctoral fellow, focusing on cutting-edge materials for neural interfaces and flexible electronic materials. Fluent in Italian and English, Mengying’s linguistic and cross-cultural communication skills have been honed by her nine years of international experience. Her research contributions have led to numerous publications in high-impact journals, showcasing her expertise in materials science and bioengineering. Mengying also has a passion for art, particularly traditional Chinese painting, and enjoys integrating creativity into her scientific endeavors.

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Summary of Suitability for the Research for Women Researcher Award

Mengying Yan is a highly qualified candidate for the Research for Women Researcher Award. With over 10 years of academic and research experience in the fields of pharmaceutical, food, and cosmetic sciences, her expertise spans across cell culture, 3D printing, neural interface materials, and conductive polymers. She holds a Ph.D. from the University of Genoa, Italy, and has contributed to advanced research during her time as a postdoctoral researcher and assistant researcher at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. Her research has resulted in several high-impact publications, and she has been recognized as a co-first author in notable journals like Advanced Healthcare Materials and ACS Applied Materials & Interfaces.

🎓   Education 

Mengying Yan’s academic journey reflects a deep commitment to science and research. She earned her Ph.D. in Pharmaceutical, Food, and Cosmetic Sciences from the University of Genoa, Italy, in 2018. During her doctoral studies, she focused on hydrogels for 3D cell culture, further expanding her expertise with an internship at the EU Institute on Membrane Technology (ITM-CNR), where she worked on developing drug-loaded microspheres using membrane emulsification techniques. Prior to this, Mengying completed her Master’s degree in Nutrition from the University of Calabria, Italy, and a Bachelor’s degree in Food Science and Engineering from Sichuan University, China. Her education equipped her with a comprehensive understanding of food science, membrane technology, and cellular systems. This strong foundation has been crucial in her current research work on neural interfaces and flexible materials, driving innovation and advancing the boundaries of biomedical technology.

💼   Experience 

Mengying Yan’s professional experience spans diverse areas of materials science and biomedical research. Currently, she serves as an Assistant Researcher at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, where she focuses on 3D cell culture systems, flexible electronic materials, and neural interface technologies. Previously, she completed a postdoctoral fellowship at the same institution, contributing to significant advancements in bio-3D printing and conductive ink development. Her responsibilities included daily laboratory management, training new employees, and overseeing the maintenance of sophisticated research equipment. Mengying’s hands-on expertise with instruments such as UV spectrophotometers, DSC, and electrochemical workstations has enabled her to excel in experimental research. Her extensive academic background and practical experience, combined with her organizational skills and technical proficiency, make her a well-rounded researcher with the ability to lead innovative projects in biomedical engineering.

🏅   Awards and Honors 

Mengying Yan’s academic and research excellence has been recognized through multiple awards and honors. During her doctoral studies at the University of Genoa, she received a prestigious research grant from the European Union’s Institute on Membrane Technology (ITM-CNR), which funded her innovative work on developing drug-loaded microspheres for therapeutic applications. Her contributions to neural interface technology and bio-3D printing have garnered attention in the scientific community, resulting in her being selected as a co-author in several high-impact publications. In addition to academic recognition, Mengying has been honored for her mentorship and leadership in guiding new researchers at the Shenzhen Institutes of Advanced Technology. Her proficiency in integrating advanced scientific techniques with practical applications has set her apart as a leader in her field, earning her accolades from both peers and institutions. Mengying’s achievements are a testament to her dedication, innovation, and contributions to biomedical research.

🌍   Research Focus 

Mengying Yan’s research focuses on the intersection of materials science and biomedical engineering, with a particular emphasis on neural interface technologies and 3D cell culture systems. She has made significant contributions to developing flexible electronic materials and conducting polymers that improve the electrode-neural interface, facilitating better communication between electronic devices and biological tissues. Mengying’s work also explores bio-3D printing and the creation of hydrogel scaffolds that mimic natural tissue environments, enabling more effective tissue engineering and regenerative medicine. Her research aims to solve critical challenges in neural interface systems, enhancing their integration with the human body for medical applications such as brain-computer interfaces. By combining materials innovation with biological applications, Mengying’s research holds promise for advancing treatments for neurodegenerative diseases and improving prosthetic technologies. Her interdisciplinary approach ensures her research stays at the forefront of biomedical advancements.

 📖 Publications Top Notes

  • Three-dimensional highly porous hydrogel scaffold for neural circuit dissection and modulation
  • Flexible and stretchable polymer optical fibers for chronic brain and vagus nerve optogenetic stimulations in free-behaving animals
  • Low‐Cost Paper‐Based Conducting Polymer‐Hydrogel Flexible Bio‐Radar Sensor for Detecting Biological Objects
  • Development of enzyme-loaded PVA microspheres by membrane emulsification
    Development and characterization of a mucoadhesive sublingual formulation for pain control: Extemporaneous oxycodone films in personalized therapy

     

Assoc. Prof. Dr. Hui Zhang | Artificial Intelligence | Industry Achievement Award

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Assoc. Prof. Dr. Hui Zhang | Artificial Intelligence | Industry Achievement Award

Assoc. Prof. Dr. Hui Zhang, Guizhou University of Finance and Economics, China

Hui Zhang is a distinguished senior engineer and associate professor at the School of Information, Guizhou University of Finance and Economics, China. With a Ph.D. in Computational Mathematics from Guizhou Normal University, Zhang has a diverse background spanning both academia and industry. His expertise ranges from computational mathematics to big data and cloud computing, having held prominent roles in R&D departments in China’s tech industry. Additionally, Zhang has served as a reviewer for prestigious journals, contributed to key projects, and holds multiple patents in data science and technology. His ongoing research and professional services make him a well-recognized expert in his field.

Professional Profile

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Summary of Suitability for the Research for Industry Achievement Award

Dr. Hui Zhang demonstrates a unique combination of academic and industrial achievements, making him a strong candidate for the Research for Industry Achievement Award. His background in computational mathematics and computer science, coupled with his experience in R&D and leadership roles in the big data industry, aligns well with the award’s focus on impactful industrial contributions.

🎓    Education

Hui Zhang completed his Bachelor’s in Information and Computational Science from Guizhou Normal University in 2010, alongside a Bachelor’s in English Education. He pursued a Master’s in Computational Mathematics at the same institution from 2010 to 2013. Hui continued his academic journey by earning a Ph.D. in Computational Mathematics, focusing on innovative computational methods. His educational experience highlights a strong foundation in both mathematics and interdisciplinary learning, setting the stage for his research and teaching career at Guizhou University of Finance and Economics.

💼   Experience

Hui Zhang’s career includes a range of positions in both academia and industry. After completing his master’s degree, he worked as a Business Manager at the Postal Savings Bank of China. He then transitioned to academic research while pursuing his Ph.D., contributing to key projects at the Guizhou Key Laboratory of Information and Computing Science. In industry, Zhang served as a Senior R&D Engineer and later General Manager of the R&D Department at Guizhou-Cloud Big Data Industry Development Co. Since 2022, he has been an associate professor at Guizhou University of Finance and Economics and a postdoctoral researcher, continuing to innovate in computer science and data science fields.

🏅  Awards and Honors

Hui Zhang’s numerous recognitions include being a Review Expert for multiple academic and governmental bodies, such as the Guizhou Provincial Department of Science and Technology. His technical contributions have earned him industry accolades, and he was invited to join the Big Data Expert Committee of the China Computer Federation. Zhang has also been honored as an Industrial Mentor in Guizhou Province and contributed as an expert reviewer for the prestigious Alexandria Engineering Journal. His expertise in computational mathematics and data science has made him a sought-after advisor and collaborator.

🌍  Research Focus

Hui Zhang’s research focuses on computational mathematics, big data, and information systems, particularly in developing algorithms and systems for data processing and analysis. He has worked extensively on Pulsar Data Processing, contributing to the design and implementation of comparative analysis and visualization systems. His research extends into numerical analysis, with a focus on finite element methods for solving complex mathematical problems. Zhang’s interdisciplinary approach combines theoretical mathematics with practical applications in data science, making significant advances in these fields.

📖 Publication Top Notes

  1. Generalized picture fuzzy Frank aggregation operators and their applications
  2. A second-order accurate and unconditionally energy stable numerical scheme for nonlinear sine-Gordon equation
  3. Asymmetrical interactions driven by strategic persistence effectively alleviate social dilemmas
  4. A Certificateless Verifiable Bilinear Pair-Free Conjunctive Keyword Search Encryption Scheme for IoMT
  5. Deformations and Extensions of Modified λ-Differential 3-Lie Algebras

Mr. Daniel Morariu | Resilience | Best Researcher Award

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Mr. Daniel Morariu | Resilience | Best Researcher Award

Mr. Daniel Morariu, Lucian Blaga University of Sibiu, Romania

Morariu Ionel Daniel is an esteemed associate professor at “Lucian Blaga” University of Sibiu, Romania, with expertise in computer science, automatic systems, data mining, and machine learning. Born on September 17, 1974, in Sighisoara, he has dedicated over two decades to education and research. He holds a Bachelor’s and Master’s degree in Computer Science from “Lucian Blaga” University and completed his PhD in Computer Science with a focus on “Automatic Knowledge Extraction from Unstructured Data” in 2007. Daniel has been a consistent contributor to advanced research, particularly in data mining, neural networks, and natural language processing. With a robust portfolio of software engineering and academic experience, his career includes impactful projects in automation systems, energy control solutions, and numerous published research papers. His dedication to knowledge dissemination and technological advancements has earned him respect in both academic and industrial circles.

Professional Profile

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Summary of Suitability for the Award

Dr. Morariu Ionel Daniel stands out as a highly qualified candidate for the Research for Best Researcher Award, particularly due to his extensive academic background, research experience, and contributions in the field of Computer Science. His educational path, including a PhD focused on automatic knowledge extraction from unstructured data, demonstrates his depth in data mining and machine learning, areas that are essential in today’s technological landscape. Furthermore, his PhD was supported by SIEMENS Corporate Technology, highlighting the practical relevance of his work.

 🎓  Education 

Daniel Morariu completed his secondary education at “Mircea Eliade” Theoretic High School, Sighisoara, between 1989-1993. He pursued higher education at “Lucian Blaga” University of Sibiu’s Engineering Faculty, earning a Bachelor’s degree in Computer Science and Automatic Systems in 1998. His academic journey continued with a Master’s degree in Computer Science in 1999, specializing in “Parallel and Distribute Processing Systems” from the same university. His thirst for knowledge culminated in a PhD in Computer Science, awarded in April 2007. His PhD research focused on “Contributions to Automatic Knowledge Extraction from Unstructured Data,” under the supervision of Professor Lucian N. Vințan. Supported by SIEMENS Corporate Technology from Munich, his doctoral research provided significant insights into data mining and natural language processing. This strong educational foundation has positioned him as a distinguished academic in the field of computer science.

💼     Experience 

Daniel Morariu has held a variety of academic positions throughout his career. He began as a teaching assistant at “Lucian Blaga” University in 1998, contributing to courses such as Microprocessors and Object-Oriented Programming. From 2003 to 2007, he served as a lecturer, teaching advanced courses in Neural Networks and Data Mining. In 2007, he became an associate professor, focusing on courses like Data Mining, Machine Learning, and Interfaces and Communication Protocols. Outside academia, Morariu gained valuable industry experience. He worked with SC Consultens Informationstechnik SRL, a German software company, as a software engineer from 2001 to 2002. He also worked as an engineer at SC IRMES SA Sibiu from 1998 to 2000, developing software for monitoring generators and controlling gas supply in thermoelectric power stations. His career reflects a strong blend of academic expertise and practical industry experience, especially in computer science and automation systems.

🏅  Awards and Honors

Throughout his career, Daniel Morariu has been recognized for his contributions to computer science and engineering. His PhD research, supported by SIEMENS Corporate Technology from Munich, was a notable achievement, reflecting both scientific and financial backing from a prestigious institution. Over the years, his dedication to teaching and research has earned him accolades within the academic community at “Lucian Blaga” University, including recognition for his innovative approach to data mining and machine learning education. His work in automation systems, particularly in the energy sector, has also been praised for its practical applications, further solidifying his status as a leading figure in the intersection of academia and industry. Though specific awards are not listed, his consistent professional growth and contributions speak to a career filled with academic accomplishments and recognition.

 🌍  Research Focus

Daniel Morariu’s research primarily revolves around data mining, machine learning, and natural language processing. His academic focus is on extracting meaningful knowledge from unstructured data using advanced techniques such as Support Vector Machines (SVM) and neural networks. His PhD dissertation on “Contributions to Automatic Knowledge Extraction from Unstructured Data” set the foundation for his continuing research into text document processing and computational linguistics. Additionally, he explores the applications of these technologies in real-world problems, particularly in automation systems and energy sector monitoring. His work on computational linguistics helps bridge the gap between machine learning models and language understanding, while his research in data mining enhances predictive models across industries. Morariu’s blend of theoretical research and practical applications has made him a valuable contributor to advancements in these fields, influencing both academic research and industrial applications.

📖 Publication Top Notes

  • Feature selection methods for an improved SVM classifier
    • Cited by: 31
  • Meta-Classification using SVM Classifiers for Text Documents
    • Cited by: 27
  • The WEKA Multilayer Perceptron Classifier
    • Cited by: 22
  • Text Mining Methods Based on Support Vector Machine
    • Cited by: 22
  • Evolutionary Feature Selection for Text Documents Using the SVM
    • Cited by: 22

Ms. Havva Mehralitabar | Biophysics | Women Researcher Award

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Ms. Havva Mehralitabar | Biophysics | Women Researcher Award

Ms. Havva Mehralitabar, Tarbiat modares university, Iran

Dr. Havva Mehralitabar Firozjah, born on December 2, 1985, is a distinguished biophysicist specializing in molecular dynamics simulations, peptide design, and nanotechnology. Currently a researcher at Sari Agricultural Sciences and Natural Resources University, Iran, she has made significant contributions to cancer research, bacterial and viral infections, and peptide-based therapeutic designs. With a strong academic foundation, Dr. Mehralitabar’s Ph.D. in Biophysics from Tarbiat Modares University centered on self-assembling peptide nanofibers, laying the groundwork for her innovative approaches in neural stem cell differentiation. Her work is marked by numerous high-impact publications and collaborations in computational biology and molecular simulations. As a researcher and educator, she has excelled in both wet lab and computational biology skills, mentoring students and contributing to interdisciplinary scientific advancements.

Professional Profile

Google scholar

Orcid

Summary of Suitability for the Research for Women Researcher Award

Havva Mehralitabar Firozjah is an outstanding candidate for the Research for Women Researcher Award based on her impressive academic background, diverse research experience, and contributions to science. With a Ph.D. in Biophysics from Tarbiat Modares University and a focus on molecular dynamics, she has worked on pioneering projects in cancer, bacterial and viral infections, and nanotechnology. Her research skills, particularly in computational biology and molecular dynamics simulations, are extensive, covering critical areas like protein modeling, molecular docking, and bioactive peptide design.

🎓  Education 

Dr. Havva Mehralitabar Firozjah’s academic journey is marked by excellence and dedication to biophysics and molecular biology. She earned her Ph.D. in Biophysics (2013-2018) from Tarbiat Modares University, Tehran, where her thesis on self-assembling alkylated peptide nanofibers provided a unique perspective on neural differentiation. Before this, she completed her M.Sc. in Biophysics (2009-2012) at the Institute for Advanced Studies of Basic Sciences (IASBS), Zanjan, where she investigated the thermodynamic interactions between Doxorubicin and DNA. Dr. Mehralitabar also holds a B.Sc. in Plant Biology (2004-2008) from Alzahra University, Tehran. Her research focus spans molecular dynamics simulations and computational biology, and she has developed deep expertise in both theoretical and practical applications of biophysics, laying a strong foundation for her groundbreaking research in peptide-based therapeutic designs and biomolecular structures.

 💼    Experience

Dr. Havva Mehralitabar Firozjah has accumulated extensive research experience across various scientific domains. She is currently a researcher (2020-2023) at Sari Agricultural Sciences and Natural Resources University, focusing on in silico studies of lactoferrin mechanisms in cancer and bacterial infections. Prior to this, she served as a consultant (2018-2020) at Hakim Sabzevari University, guiding M.Sc. students in molecular dynamics simulations. As an adjunct professor (2019-2022), she taught advanced courses in system biology and molecular docking methods, further shaping young scientists. Her experience in both wet labs and computational biology makes her a versatile scientist, skilled in molecular simulations, peptide design, and biophysics research. Through multiple collaborations and supervisory roles, Dr. Mehralitabar has played a key role in advancing research in the field of molecular biology and nanotechnology.

🏅 Awards and Honors 

Dr. Havva Mehralitabar Firozjah’s contributions to biophysics have earned her numerous awards and recognitions. Notably, she secured 6th place in the National Ph.D. Entrance Exam (2013) out of 120 participants, showcasing her academic prowess. She has also served as a reviewer for the esteemed Journal of Computer in Biology and Medicine (2020-2022), underlining her expertise in computational biology. During her academic tenure, Dr. Mehralitabar received several honors for her innovative research in molecular dynamics simulations and peptide nanotechnology, including recognition from Tarbiat Modares University for her exceptional Ph.D. thesis on alkylated-peptide nanofibers. Additionally, her active participation in conferences and workshops has led to several poster presentations, contributing to her standing as a thought leader in her field. Her relentless pursuit of scientific excellence continues to make a significant impact on the biophysics research community.

🌍 Research Focus 

Dr. Havva Mehralitabar Firozjah’s research primarily revolves around molecular dynamics simulations, peptide design, and nanotechnology. Her work focuses on exploring the interactions between peptides and biological molecules to develop innovative therapeutic strategies. One of her most notable projects includes in silico studies of lactoferrin mechanisms, aiming to address cancer, bacterial, and viral infections. She also specializes in self-assembling peptides for neural stem cell differentiation, demonstrating the potential of biomaterials in regenerative medicine. Dr. Mehralitabar’s research extends into the structural dynamics of proteins, molecular docking, and simulations to understand how molecular structures influence biological functions. With extensive expertise in computational biology and hands-on molecular biology techniques, her work integrates theoretical approaches with practical lab results, making strides in drug design and biomolecular engineering.

📖 Publication Top Notes

  • A combination of bioactive and nonbioactive alkyl-peptides form a more stable nanofiber structure for differentiating neural stem cells: a molecular dynamics simulation survey
    Citations: 9
  • Abiraterone and D4, 3-keto Abiraterone binding to CYP17A1, a structural comparison study by molecular dynamic simulation
    Citations: 3
  •  The role of Wnt palmitoleylated loop conserved disulfide bonds in Wnt-frizzled complex structural dynamics: Insights from molecular dynamics simulations
    Citations: 1
  • The physicochemical properties role of a functionalized alkyl-peptide in nanofibre formation and neural progenitor cells viability and survival
    Citations: 1
  •  In vitro study of the expression of autophagy genes ATG101, mTOR and AMPK in breast cancer with treatment of lactoferrin and in silico study of their communication networks and …

Dr. Cedric Anthierens | Marine Robotics | Business Innovation Award

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Dr. Cedric Anthierens | Marine Robotics | Business Innovation Award

Dr. Cedric Anthierens, COSMER Lab, University of Toulon, France

Cédric Anthierens is an Associate Professor at the University of Toulon, where he heads the mechatronics and robotics department at the Seatech Engineering School. A graduate of INSA of Lyon in 1996, Cédric earned his PhD in microrobotics in 1999. His academic career spans two decades, during which he has focused on research in marine and submarine robotics. At the COSMER Lab, his work includes developing underwater robots, umbilical management systems, and cooperation between autonomous surface and underwater vehicles. Beyond academia, Cédric collaborates with industry leaders like AlcenAlseamar, managing fleets of autonomous gliders to further enhance maritime exploration technologies.

Professional Profile

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Summary of Suitability for the Research for Business Innovation Award 

Cédric Anthierens demonstrates strong qualifications for the Research for Business Innovation Award, with a unique blend of academic research and real-world business innovation. As an Associate Professor at the University of Toulon’s COSMER Lab, his work focuses on marine and submarine robotics, with a specific emphasis on autonomous surface and underwater vehicles. This field of research directly contributes to cutting-edge advancements in marine technology, offering practical applications in industries like defense, ocean exploration, and environmental monitoring.

 🎓  Education 

Cédric Anthierens holds a degree in Engineering from INSA Lyon, a prestigious French engineering school, which he completed in 1996. He pursued further studies in robotics, earning a PhD in microrobotics in 1999. His doctoral research focused on the intricacies of micromechanical systems, laying the foundation for his career in marine robotics. He further honed his expertise through various advanced research programs, specializing in underwater vehicle navigation and autonomous robotics. His academic background, a blend of theoretical and practical experience, has been instrumental in shaping the curriculum at the Seatech Engineering School, where he now leads the mechatronics and robotics department.

💼   Experience 

Cédric Anthierens has extensive experience in the field of robotics, particularly in marine and underwater systems. Since joining the University of Toulon in 2014, he has served as the head of the mechatronics and robotics department at Seatech Engineering School. His research focuses on creating autonomous systems for both surface and underwater vehicles, and he has collaborated with leading organizations such as AlcenAlseamar and Sherpa Engineering. Through projects like fleet management of autonomous underwater gliders and advanced algorithms for robotic path planning, he has contributed significantly to the field of marine robotics. His academic and industrial experience positions him as a key figure in advancing underwater robotic technologies.

🏅  Awards and Honors 

Cédric Anthierens has received numerous accolades for his contributions to marine and robotics research. His work on developing underwater robotic systems has garnered recognition from both academic and industrial organizations. He has been honored for his innovations in autonomous vehicle navigation and path planning, including awards for excellence in innovation. His leadership in managing industry collaborations, particularly with AlcenAlseamar, has also been acknowledged, as he played a pivotal role in advancing the capabilities of autonomous underwater gliders. As an academic leader, Cédric has received institutional awards for his contributions to the Seatech Engineering School, where he has successfully led the mechatronics and robotics department.

🌍  Research Focus 

Cédric Anthierens’ research primarily revolves around the development of autonomous marine and submarine robotic systems. His focus is on improving the intelligence and effectiveness of glider fleets, advancing algorithms for underwater vehicle navigation, and optimizing robotic path planning. He has worked extensively on cooperative systems between autonomous surface vehicles (USVs) and underwater vehicles (ROVs), particularly addressing umbilical management between these systems. At the COSMER Lab, his research has led to the creation of simulation tools that enhance the planning and execution of underwater missions, enabling robots to perform tasks more efficiently. His collaboration with industrial partners has also contributed to practical advancements in maritime robotics.

📖 Sustainable SolutionsPublications Top Notes

  •  Automated Deployment of an Underwater Tether Equipped with a Compliant Buoy–Ballast System for Remotely Operated Vehicle Intervention
  •  A New Flex-Sensor-Based Umbilical-Length Management System for Underwater Robots
  •  A Simulator of Underwater Glider Missions for Path Planning
  •  Towards Active Self-Management of Umbilical Linking ROV and USV for Safer Submarine Missions
  •  Sensory Navigation Guide for Visually Impaired Sea Kayakers