Dr. Caixia Cai | Green Connectivity Awards | Best Researcher Award

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Dr. Caixia Cai | Green Connectivity Awards | Best Researcher Awardย 

Dr. Caixia Cai, Shanghai Maritime University, China

Caixia Cai, also known as Jessica Cai, is a dedicated lecturer at Shanghai Maritime University, where she has been contributing to the field of information and communication intelligence systems since September 2020. she completed her B.S. in Communication Engineering at East China Jiaotong University in 2013, focusing on the design and implementation of local network systems based on GSM for railway applications. Cai pursued her Ph.D. at Donghua University, where she researched energy efficiency in wireless networks using cooperative relay systems under the supervision of Professor Runhe Qiu. Additionally, she was a joint Ph.D. student at the University of Delaware, collaborating with Professor Xiang-Gen Xia on mathematical theories and methods in wireless communications. Her research interests encompass multiple-input multiple-output (MIMO) systems, cooperative relays, green communication in wireless networks, and underwater acoustic sensor networks. Cai actively contributes to the academic community as a volunteer reviewer for several prestigious journals and conferences, including IET Communications and IEEE Transactions on Green Communication and Networking. Her work aims to advance the understanding and efficiency of communication systems, reflecting her commitment to innovation and excellence in the field.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award:

Dr. Caixia Cai is a promising candidate for the Best Researcher Award due to her significant contributions to the field of wireless communications, particularly in energy efficiency and innovative transmission strategies. Currently a lecturer at Shanghai Maritime University, her academic journey includes extensive research experience and collaborative projects at prestigious institutions like the University of Delaware.

๐ŸŽ“ Education

  • Ph.D. Candidate
    Field: Information & Communication Intelligence System
    Institution: Donghua University, Shanghai, China
    Duration: June 2020 – September 2014
    Advisor: Professor Runhe Qiu
    Research Project: Research on Energy Efficiency of Wireless Network Based on Cooperative Relay
  • Joint Ph.D. Student
    Department: Electrical and Computer Engineering
    Institution: University of Delaware, Newark, Delaware, USA
    Duration: September 2017 – September 2019
    Advisor: Professor Xiang-Gen Xia
    Research Project: Mathematical Theory and Methods on Wireless Communications
  • B.S.
    Field: Communication Engineering
    Institution: East China Jiaotong University, Nanchang, China
    Duration: September 2009 – July 2013
    Advisor: Professor Yuejin Zhang
    Research Project: Design and Implementation of Local Network Side Based on GSM-Railway System

๐Ÿ’ผ Work Experience

  • Lecturer
    Institution: Shanghai Maritime University
    Duration: September 2020 – Present

๐Ÿ† Achievements

  • Conducted significant research in areas such as MIMO, cooperative relay, and green communication in wireless networks.
  • Contributed to the development of underwater acoustic sensor networks.

๐ŸŒŸ Awards and Honors

  • Served as a volunteer reviewer for esteemed journals and conferences, including:
    • IET Communications
    • Electrical Letters
    • IEEE Access
    • IEEE Transactions on Green Communication and Networking
    • IEEE Conference on Communication

Publicationย Top Notes:

Energy-efficient two-way full-duplex relay transmission strategy with SWIPT and direct links

Energy-Efficient Adaptive Bidirectional Transmission Strategy in Simultaneous Wireless Information and Power Transfer (SWIPT)-Enabled Cognitive Relay Network

A REVIEW OF KEY TECHNOLOGIES OF SHORE POWER SYSTEMS

Energy-efficient Full-duplex Transmission Strategy Design with SWIPT

Energy-Efficient Amplify-and-Forward Full-Duplex Transmission Strategy

Prof. Dezhi Zheng | Sensitive Mechanism Awards | Best Researcher Award

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Prof. Dezhi Zheng | Sensitive Mechanism Awards | Best Researcher Award

Prof. Dezhi Zheng, Beijing Institute of technology, China

Professor Dezhi Zheng is a prominent researcher and doctoral supervisor at the Advanced Research Institute of Multidisciplinary Sciences at Beijing Institute of Technology. With a robust academic background, he earned both his Ph.D. and B.S. degrees in Precision Instruments and Machinery and Mechanical Engineering and Automation from Beihang University. Since 2020, he has been a professor at Beijing Institute of Technology, and prior to this role, he served as a visiting scholar in the Mechanical Engineering Department at the University of Victoria and held various academic positions at Beihang University. Professor Zheng’s research interests focus on collaborative awareness technology, airborne information detection, extreme signal measurement technology, and sensor sensitivity mechanisms. His groundbreaking work in accurate perception technology has led to significant advancements in resonant sensors, ultra-low frequency vibration sensors, and wearable sensing devices for human bioelectrical signals, notably improving measurement accuracy and practical applications in fields like aviation and smart technology. With over 30 national key scientific research projects and more than 70 academic publications to his name, along with over 30 authorized invention patents, Professor Zheng is recognized as a leader in the field of sensors and sensing technology.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Dezhi Zheng

Dezhi Zheng is an accomplished researcher and educator with a distinguished record in the fields of sensing technology and precision instrumentation, making him an excellent candidate for the Best Researcher Award. His extensive academic background and impactful contributions in both research and technology application underscore his qualifications.

Education ๐ŸŽ“

  • Ph.D. in Precision Instruments and Machinery
    Beihang University, 2000-2006
  • B.S. in Mechanical Engineering and Automation
    Beihang University, 1996-2000

Work Experience ๐Ÿข

  • Professor
    Advanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology (2020 – Present)
  • Visiting Scholar
    Mechanical Engineering, University of Victoria (2014 – 2015)
  • Researcher
    Research Institute for Frontier Science, Beihang University (2006 – 2020)
  • Associate Professor
    School of Instrumentation and Optoelectronic Engineering, Beihang University (2006 – 2020)
  • Lecturer
    School of Instrumentation and Optoelectronic Engineering, Beihang University (2006 – 2006)

Achievements ๐Ÿ†

  • Conducted research on resonant sensors, improving measurement accuracy of aircraft flight height by nearly an order of magnitude. โœˆ๏ธ
  • Developed ultra-low frequency vibration sensors and calibration technology, achieving accurate calibration of 0.01Hz sensors. ๐Ÿ“
  • Researched wearable sensing devices and intelligent sensing technology for weak human bioelectrical signals, leading to practical applications in wearable brain-computer interfaces. ๐Ÿง 
  • Participated in over 30 major national key scientific research projects. ๐Ÿ”ฌ
  • Published more than 70 academic papers. ๐Ÿ“š
  • Authorized more than 30 invention patents. ๐Ÿ’ก

Awards and Honors ๐Ÿฅ‡

  • Recognized for contributions to the development of resonant sensors and smart helmets, addressing key challenges in sensor technology. ๐Ÿ› ๏ธ
  • Achievements in the field of collaborative awareness technology and extreme signal measurement technology. ๐ŸŒŸ

Publicationย Top Notes:

Hybrid Knowledge-Data Driven Channel Semantic Acquisition and Beamforming for Cell-Free Massive MIMO

Integrated Sensing and Communication With mmWave Massive MIMO: A Compressed Sampling Perspective

Joint Activity Detection and Channel Estimation for Massive IoT Access Based on Millimeter-Wave/Terahertz Multi-Panel Massive MIMO

Next-Generation Massive URLLC with Massive MIMO: A Unified Semi-Blind Detection Framework for Sourced and Unsourced Random Access

Robust phase unwrapping via non-local regularization

Gabriel Danciu | Intelligent sensing | Excellence in Research

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Mr. Gabriel Danciu | Intelligent sensing | Excellence in Research

Lecturer at Transilvania University, Romania

Danciu Gabriel is a prominent researcher and educator from Romania, specializing in electrical engineering and computer science. Currently serving as a ลžef lucrฤƒri at the University of Transilvania in Braศ™ov, he combines his academic role with practical experience as an engineer and manager at Siemens. With a robust publication record exceeding 50 papers, Gabriel is recognized for his contributions to artificial intelligence, image processing, and software architecture. He is an active member of the IEEE and has presented at numerous international conferences. His commitment to education is reflected in his mentoring roles and project coordination, making him a vital part of the academic community. Gabriel’s expertise in developing algorithms for RGB-D cameras and his innovative research approaches have earned him respect in the field. He aims to bridge theoretical knowledge with practical applications, enhancing technological advancements and shaping the next generation of engineers.

Profile:

Google Scholar Profile

Strengths for the Award:

  1. Extensive Experience: Gabriel has over 15 years of experience in academia and industry, demonstrating a strong commitment to both education and research.
  2. Publication Record: With over 50 published works, he shows a robust contribution to fields such as AI, image processing, and software architectures, indicating high productivity and impact in his research area.
  3. Diverse Skill Set: His competencies in various programming languages (C++, C#, Python) and expertise in software architecture showcase his technical proficiency, which is critical for modern research.
  4. Leadership Roles: As a ลžef lucrฤƒri (Head of Department) and an engineer at Siemens, he has proven leadership capabilities, indicating his ability to manage projects and mentor others effectively.
  5. International Engagement: Participation in over 5 European projects and presentations at numerous conferences reflects his active engagement with the global research community.
  6. Research Innovation: His focus on cutting-edge topics like AI and image processing highlights his relevance and adaptability to current technological trends.

Areas for Improvement:

  1. Language Proficiency: While he is proficient in English, improving his German skills could enhance his collaboration opportunities in Europe, particularly in multilingual environments.
  2. Broader Collaboration: Expanding his research network beyond existing affiliations could lead to more interdisciplinary projects and greater innovation.
  3. Public Engagement: Increasing visibility through popular science publications or community outreach could enhance his impact beyond the academic sphere.
  4. Mentoring: Actively seeking to mentor younger researchers or students could foster new talent in the field and enhance his leadership profile.

Education:

Danciu Gabriel pursued his academic journey at the University of Transilvania in Braศ™ov, where he obtained his Bachelor’s degree in Automaticฤƒ ศ™i Informaticฤƒ Industrialฤƒ in 2004. He continued his studies at the same institution, completing a Masterโ€™s degree in Electrical Engineering and Telecommunications in 2006. Gabriel then earned his Ph.D. in 2014, focusing on developing algorithms for image processing using RGB-D cameras. His educational background laid a solid foundation for his future roles in academia and industry. As an Asistent universitar from 2007 to 2022, he dedicated himself to teaching and research, culminating in his current position as ศ˜ef lucrฤƒri, where he engages in educational leadership, research activities, and administrative duties. Gabrielโ€™s academic achievements are complemented by ongoing professional development, ensuring that he stays at the forefront of technological advancements and educational methodologies in his field.

Experience:

Danciu Gabriel boasts extensive professional experience spanning over 15 years in both academia and industry. He began his career as a Software Engineer at Dynamic Ventures from 2005 to 2017, where he focused on research, mentorship, and software development. In 2018, he transitioned to Siemens as an Engineer, Researcher, and Manager, where he continues to work on innovative research projects while mentoring emerging talent. Concurrently, he has held various academic positions at the University of Transilvania, serving as an Asistent universitar for 15 years before advancing to ลžef lucrฤƒri in 2022. His dual role allows him to integrate theoretical knowledge with practical applications, contributing to the growth of his students and the advancement of technology. Gabrielโ€™s experience is characterized by a commitment to education, research innovation, and leadership, positioning him as a key figure in the fields of electrical engineering and computer science.

Research Focus:

Danciu Gabriel’s research primarily revolves around artificial intelligence, image processing, and software architecture, with a specific emphasis on RGB-D cameras. His work in developing innovative algorithms for depth image analysis has significantly contributed to advancements in computer vision and signal processing. Gabriel has published over 50 papers in renowned journals and conferences, exploring various topics, including noise pollution monitoring, functional verification in digital designs, and object tracking methods. He actively participates in European projects, collaborating with interdisciplinary teams to address real-world challenges through technology. Gabriel is passionate about integrating theoretical concepts with practical applications, aiming to improve the efficiency and accuracy of image processing techniques. His ongoing research endeavors focus on enhancing machine learning models and exploring new avenues in automated systems, positioning him at the cutting edge of technological innovation in the fields of engineering and computer science.

Publication Top Notes:

  • Shadow removal in depth images morphology-based for Kinect cameras ๐ŸŒŒ
  • Objective erythema assessment of Psoriasis lesions for PASI evaluation ๐ŸŒฟ
  • A novel approach for face expressions recognition ๐Ÿ˜Š
  • Improved contours for ToF cameras based on vicinity logic operations ๐Ÿ–ผ๏ธ
  • Cost-efficient approaches for fulfillment of functional coverage during verification of digital designs ๐Ÿ’ป
  • Coverage fulfillment automation in hardware functional verification using genetic algorithms ๐Ÿ”
  • Extended control-value emotional agent based on fuzzy logic approach ๐Ÿค–
  • Scale and rotation-invariant feature extraction for color images of iris melanoma ๐ŸŒˆ
  • Level up in verification: Learning from functional snapshots ๐Ÿ“Š
  • Noise pollution monitoring using mobile crowd sensing and SAP analytics ๐Ÿ“ฑ
  • Debugging FPGA projects using artificial intelligence ๐Ÿงฉ
  • Debug FPGA projects using machine learning ๐Ÿ“ˆ
  • Efficient analysis of digital systems’ supplied data โš™๏ธ
  • Method proposal for blob separation in segmented images ๐Ÿ”
  • Solutions for Roaming and Interoperability Problems Between LTE and 2G or 3G Networks ๐Ÿ“ถ
  • Methods of Object Tracking ๐Ÿ•ต๏ธโ€โ™‚๏ธ
  • Adaptive Scaling for Image Sensors in Embedded Security Applications ๐Ÿ”’
  • A method proposal of scene recognition for RGB-D cameras ๐ŸŒ
  • Genetic algorithm for depth images in RGB-D cameras ๐Ÿ”ง
  • Hierarchical contours based on depth images ๐Ÿ—บ๏ธ

Conclusion:

Gabriel Danciu demonstrates a strong profile as a candidate for the Best Researcher Award, with a solid foundation in research, a wealth of experience, and a proven track record of publications and collaborations. By addressing the suggested areas for improvement, particularly in broader engagement and mentorship, he could further strengthen his candidacy and impact in the research community.

Reza Shokri | Neural Recording | Best Paper Award

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Mr. Reza Shokri | Neural Recording | Best Paper Award

PhD at University of Genova, Italy

Reza Shokri, born in July 1992, is an accomplished electrical engineer specializing in integrated circuit design and biomedical applications. With a strong academic background and a passion for innovation, Reza has consistently excelled in his field, demonstrating leadership through both research and teaching roles. Currently pursuing his PhD at the University of Genova, he continues to develop cutting-edge technologies that bridge the gap between engineering and medicine. Reza’s work is characterized by its relevance to neural recording systems, showcasing his commitment to improving healthcare through engineering solutions.

Profile:

ORCID Profile

Strengths for the Award:

  1. Outstanding Academic Performance: Reza has demonstrated exceptional academic achievement, being ranked 2nd in a highly competitive PhD entrance exam in Iran, and 65th among over 30,000 participants in the MSc entrance exam. This reflects both his intellect and dedication to his field.
  2. Diverse Research Experience: His research spans critical areas such as DC-DC converters, low-power biomedical ADCs, and neural recording systems. This breadth showcases his versatility and ability to tackle complex problems in engineering.
  3. Significant Contributions to Publications: Reza has authored and co-authored several noteworthy publications, including articles in reputable journals and conference proceedings. His work on a VCO-based ADC for neural recording applications indicates a strong focus on practical and impactful research.
  4. Teaching and Mentoring: His experience as a teaching assistant at reputable institutions highlights his ability to communicate complex concepts and contribute to the education of future engineers.
  5. Relevant Work Experience: His professional roles in both academic and industrial settings, particularly in designing analog integrated circuits for biomedical applications, demonstrate practical skills and a commitment to applying research in real-world contexts.
  6. Collaborative Research Efforts: Reza has effectively collaborated with multiple researchers and professors, indicating strong teamwork skills and an ability to contribute to multidisciplinary projects.

Areas for Improvement:

  1. Language Proficiency: While Reza has an intermediate level of English, enhancing his proficiency could improve his ability to engage with a broader international audience and contribute to global research discussions.
  2. Broader Impact Assessment: Although his research is innovative, focusing more on the societal and economic impacts of his work could enhance its relevance and applicability.
  3. Networking and Conferences: Increasing participation in international conferences and workshops can provide Reza with more opportunities to present his work, receive feedback, and establish connections with other researchers.
  4. Leadership Roles: Pursuing leadership positions in research groups or committees could help him develop skills in project management and strategic planning.

Education:

Reza began his academic journey in Electrical Engineering at Tabriz University, earning his BSc with a thesis on โ€œImplementation of Digital Pen with an Accelerometer.โ€ He later pursued an MSc at the University of Tehran, focusing on circuit design for neural recording systems. His commitment to furthering his expertise led him to the University of Genova, where he is currently working towards a PhD. His education has equipped him with a solid foundation in both theoretical knowledge and practical skills, essential for addressing complex engineering challenges.

Experience:

Reza’s professional experience spans multiple roles in both academic and industry settings. He currently works as an Analog Integrated Circuit Designer at the University of Tehran, focusing on the design and layout of multipolar waveform stimulators for deep brain stimulation systems. Previously, he served as a Hardware Designer at Niktek Company, where he designed a high-resolution arbitrary waveform stimulator. His experience also includes significant projects on DC-DC converters and automotive control modules, showcasing his versatile engineering skills and commitment to advancing technology in biomedical applications.

Awards and Honors:

Reza has received numerous accolades for his academic and research excellence. He ranked 2nd out of over 1500 participants in the Electrical Engineering PhD Entrance Exam in Iran and achieved 65th among more than 30,000 in the MSc Entrance Exam. These accomplishments reflect his dedication and proficiency in electrical engineering. Reza’s commitment to advancing knowledge in his field has not only earned him recognition but also inspires his peers and future engineers to strive for excellence.

Research Focus:

Reza’s research focuses on the intersection of electrical engineering and biomedical applications, particularly in neural recording and stimulation systems. His work includes the design of low-power, high-performance analog-to-digital converters and DC-DC converters tailored for biomedical applications. He is also exploring quantum phase estimation algorithms, reflecting his innovative approach to addressing modern engineering challenges. Reza’s research aims to enhance medical technologies and improve patient outcomes, contributing significantly to the field of biomedical engineering.

Publication Top Notes:

  • A Reconfigurable, Nonlinear, Low-Power, VCO-Based ADC for Neural Recording Applications
  • Highly Linear, Digital OTA With Modified Input Stage
  • Multipolar Stimulator for DBS Application with Concurrent Imbalance Compensation
  • A Nonlinear, Low-Power, VCO-Based ADC for Neural Recording Applications
  • A Buck Converter Based on Dual Mode Asynchronous Pulse Width Modulator

Conclusion:

Reza Shokri possesses the qualifications, research experience, and academic achievements that make him a strong candidate for the Best Researcher Award. His dedication to advancing knowledge in electrical engineering, particularly in biomedical applications, is commendable. By addressing areas for improvement, such as enhancing language skills and increasing networking opportunities, Reza can further amplify his contributions to the field and increase his impact as a researcher. His potential for future innovation and leadership in electrical engineering positions him as a valuable asset to the academic and scientific community.

Terry Alford | Materials Processing | Best Researcher Award

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Prof Dr.Terry Alford | Materials Processing | Best Researcher Award

Associate Director and Professor at Arizona State University,United States

Dr. T.L. Alford is a distinguished professor of Materials Science and Engineering at Arizona State University. With extensive experience in academia and industry, he has significantly contributed to the field through teaching, mentoring, and research. His work spans several areas, including semiconductor materials and renewable energy technologies. Dr. Alford is also dedicated to enhancing diversity in engineering through active participation in professional societies and student organizations.

Profile:

Scopus Profile

Strengths for the Award:

  1. Extensive Academic Background: With a Ph.D. and multiple master’s degrees in Materials Science and Engineering, this researcher possesses a solid foundational knowledge and expertise in the field.
  2. Long-standing Academic Career: Serving as a professor at Arizona State University since 1993, the candidate has demonstrated commitment and sustained excellence in teaching and mentoring students.
  3. Diverse Research Interests: The researcher has explored a variety of cutting-edge topics, including metal contacts to diamond semiconductors, organic-based perovskite solar cells, and transparent composite electrodes, showcasing versatility and relevance in current scientific challenges.
  4. Industry Experience: The candidate has substantial industrial experience as a consultant for leading technology firms, bridging the gap between academia and industry and enhancing the practical impact of their research.
  5. Strong Publication Record: A significant number of publications in reputable journals, including recent advancements in nanofilms and perovskite solar cells, demonstrate a robust research output and engagement with contemporary scientific issues.
  6. Recognition and Awards: Induction into the National Academy of Inventors and being a Fellow of the African Scientific Institute reflect recognition by peers and professional bodies, affirming the impact and quality of their work.
  7. Commitment to Mentorship: The candidate has actively engaged in mentoring students, particularly underrepresented minorities in engineering, which speaks to their dedication to diversity and inclusion in academia.

Areas for Improvement:

  1. Broader Collaborative Networks: While there is experience with international collaborations, expanding these networks could enhance research opportunities and foster more interdisciplinary projects.
  2. Funding Acquisition: Increasing the focus on securing research grants could amplify the scope and impact of future projects, ensuring sustainability and growth in research activities.
  3. Public Engagement: Engaging more with the public and communicating research findings in accessible ways could enhance visibility and societal impact, fostering a greater appreciation for materials science.
  4. Leveraging Online Learning Tools: Further integrating innovative online learning tools and methodologies in courses could enhance student engagement and learning outcomes, particularly in a post-pandemic educational landscape.

Education:

Dr. Alford earned his Ph.D. and M.S. in Materials Science from Cornell University in 1991 and 1988, respectively. He also holds two master’s degrees: an M.S. in Materials Engineering from North Carolina State University (1986) and a B.S. in Materials Engineering, graduating Summa Cum Laude from the same institution in 1984. His rigorous educational background has laid a strong foundation for his impactful research and teaching career.

Experience:

Dr. Alford has been a faculty member at Arizona State University since 1993, progressing from Assistant to Professor. His extensive industrial experience includes consulting for leading tech companies like Adesto Technologies and Texas Instruments. He has also been involved in various academic affiliations and leadership roles, including serving as Characterization Leader at the Flexible Display Center. His unique blend of academic and industrial experience enriches his teaching and research endeavors.

Awards and Honors:

Dr. Alford has received numerous accolades, including being named a Fellow of the African Scientific Institute in 2020 and a Senior Member of the National Academy of Inventors in 2019. His recognitions include the Outstanding Graduate Mentor Award and the Golden Torch Pioneer of the Year Award. Additionally, he has been nominated for multiple teaching and mentoring awards, underscoring his commitment to excellence in education and research.

Research Focus:

Dr. Alford’s research interests encompass a diverse range of topics, including metal contacts to diamond semiconductors, organic-based perovskite solar cells, and materials characterization. He is particularly focused on developing innovative solutions for energy conversion and storage, employing advanced materials processing techniques. His research also aims to integrate online active learning tools to enhance educational outcomes in materials science.

Publications:

  1. Fundamentals of Nanoscale Film Analysis ๐Ÿ“š
  2. Characterization of PEDOT Nanofilms Printed via Electrically Assisted Direct Ink Deposition with Ultrasonic Vibrations ๐Ÿ”ฌ
  3. Ultrafast and Large-Scale Fabrication of PEDOT Nanofilms Using Electrical-Field-Assisted Direct Ink Deposition โšก
  4. Ohmic contacts to nitrogen-doped nanocarbon layers on diamond (100) surfaces ๐Ÿ’Ž
  5. Theoretical analysis of green hydrogen from hydropower: A case study of the Northwest Columbia River system ๐ŸŒŠ
  6. 3D Printing of Largescale Functional Nanofilm using Electrically assisted Direct Ink Deposition ๐Ÿ–จ๏ธ
  7. Fabrication of triple cation perovskite solar cells using different post-spin coating anti-solvent treatments ๐ŸŒž
  8. Understanding the crystallization of triple-cation perovskites assisted by mixed antisolvents for improved solar cell device performance ๐Ÿ”
  9. Phenyl Ethylammonium Iodide introduction into inverted triple cation perovskite solar cells for improved VOC and stability โš™๏ธ
  10. Passivation of triple cation perovskites using guanidinium iodide in inverted solar cells for improved open-circuit voltage and stability ๐Ÿ“ˆ
  11. Impact of precursor concentration on the properties of perovskite solar cells obtained from the dehydrated lead acetate precursors ๐Ÿงช

Conclusion:

This researcher exemplifies the qualities of a leading figure in the field of Materials Science and Engineering. With a robust academic and industrial background, a diverse and impactful research portfolio, and a strong commitment to mentorship and community engagement, they are highly deserving of the Best Researcher Award. Addressing areas for improvement will further elevate their contributions to academia and the scientific community, solidifying their position as a leader in their field.

Assoc Prof Dr. Dinglong Yang | Shell Development | Best Researcher Award

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Assoc Prof Dr. Dinglong Yang | Shell Development | Best Researcher Awardย 

Assoc Prof Dr. Dinglong Yang, Yantai Institute of Coastal Zone Research Chinese Academy of Sciences, China

Yang Dinglong is an esteemed Associate Researcher and Master’s Supervisor at the Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences. Born on October 10, 1987, in Yantai, China, Dr. Yang has made significant contributions to the field of marine bioscience. He completed his doctoral studies in Marine Bioscience at the University of Chinese Academy of Sciences, graduating in 2017. Dr. Yang’s research focuses on shellfish development, the Hippo-warts-yorkie pathway, and molecular and cellular immunity in shellfish. His work has been published in notable journals such as Comparative Immunology Reports, Ecotoxicology and Environmental Safety, and Fish and Shellfish Immunology. Key publications include studies on the Hippo-warts-yorkie pathway’s role in larval survival and shell development in Pacific abalone, and the effects of deltamethrin on extracellular traps in the hemocytes of Ruditapes philippinarum.

Professional Profile:

SCOPUS

 

๐ŸŽ“ Education

Yang completed his Doctoral studies in Marine Bioscience at the University of Chinese Academy of Sciences from 2014 to 2017.

๐Ÿง‘โ€๐Ÿ”ฌ Professional Experience

Since 2017, Yang has been serving as an Associate Researcher and Master’s Supervisor at the Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences. His work focuses on advancing knowledge in shellfish development and marine immunology.

๐Ÿ“š Research Interests

  • Shellfish Development
  • Hippo-warts-yorkie Pathway
  • Molecular and Cellular Immunity of Shellfish

๐Ÿ“ Notable Publications

  1. Hippo-warts-yorkie pathway is crucial for larval survival and shell development in Pacific abalone (Haliotis discus hannai). Comparative Immunology Reports, 2024(6), 200133.
  2. In vitro study of deltamethrin-induced extracellular traps in hemocytes of Ruditapes philippinarum. Ecotoxicology and Environmental Safety, 256(2023), 114909.
  3. Characteristic and antibacterial effect of a histone H2A and its preliminary roles in extracellular traps in manila clam Ruditapes philippinarum. Fish and Shellfish Immunology, 131(2022), 77-83.
  4. Antimicrobial Defensin and DNA Traps in Manila Clam Ruditapes philippinarum: Implications for Their Roles in Immune Responses. Frontiers in Marine Science, 8(2021), 690879.

๐Ÿ”ฌ Recent Scientific Research Projects

  • National Natural Science Foundation of China (No. 42176141)
  • Science & Technology Fundamental Resources Investigation Program (2022FY100600)
  • Youth Innovation Promotion Association of Chinese Academy of Sciences (No. 2022211)
  • Natural Science Fo

Publication top Notes:

Molecular characterization, expression and antibacterial function of a macin, HdMac, from Haliotis discus hannai

Interactive effects of multiple antibiotic residues and ocean acidification on physiology and metabolome of the bay scallops Argopecten irradians irradians

Intrinsic and extrinsic pathways of apoptosis induced by multiple antibiotics residues and ocean acidification in hemocytes of scallop Argopecten irradians irradians: An interactionist perspective

Effects of exposure to nanoplastics on the gill of mussels Mytilus galloprovincialis: An integrated perspective from multiple biomarkers

Effects of dietary supplementation of Clostridium butyricum H129 on growth performance and intestinal health of turbot, Scophthalmus maximus