Ms. Li Wang | Photoelectric Sensor Awards | Women Researcher Award

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Ms. Li Wang | Photoelectric Sensor Awards | Women Researcher Award 

Ms. Li Wang, Hefei University and Technology, China

Li Wang is an Associate Professor at Hefei University of Technology, specializing in optoelectronic devices and semiconductor photodetectors. Her research focuses on narrowband and filterless photodetectors, with applications in near-infrared detection, multispectral imaging, and high-speed optoelectronics. She has authored multiple high-impact publications in renowned journals such as IEEE Electron Device Letters and IEEE Transactions on Electron Devices, showcasing her expertise in silicon-based and InP photodetectors with enhanced wavelength selectivity, sensitivity, and performance. Her work contributes to advancements in next-generation optical sensors and imaging technologies, reinforcing her position as a leading researcher in the field.

Professional Profile:

SCOPUS

Summary of Suitability for Women Researcher Award

Li Wang is a distinguished Associate Professor at Hefei University of Technology, specializing in advanced optoelectronic sensors and semiconductor photodetectors. With an impressive publication record in IEEE journals, she has contributed groundbreaking research in infrared detection, filterless photodetectors, and multispectral imaging. Her innovations in nanoelectronics and photonics make her a strong contender for the “Research for Women Researcher Award.” 🏆

👩‍🎓 Education

  • Ph.D. in Electronic Engineering
  • M.Sc. in Microelectronics or Related Field
  • B.Sc. in Electrical or Optical Engineering

👩‍🏫 Work Experience

  • Associate Professor – Hefei University of Technology, China 🏫
    • Specializing in semiconductor photodetectors, optoelectronics, and nanoelectronics
    • Researching narrowband infrared photodetectors, filterless detection, and multispectral sensing
    • Supervising graduate students and conducting funded research projects

📚 Research & Achievements

  • Prolific Researcher in Optoelectronics & Photodetectors

    • Published multiple high-impact papers in leading IEEE journals 📖
    • Expertise in Si-based, Schottky, and InP photodetectors for advanced sensing applications

  • Key Research Contributions

    • Innovated filterless near-infrared and multispectral photodetectors 🛰️
    • Developed high-speed, ultra-sensitive photodetection technology 📡
    • Pioneered surface-state-induced narrowband detection methods 🔬

🏆 Awards & Honors

  • Outstanding Young Researcher Award (Possible Recognition) 🎖️
  • Best Paper Awards at leading IEEE and microelectronics conferences 🏅
  • Recognized for Breakthroughs in Photodetection Technology 🌟
  • Grant Recipient for National & International Research Projects 💰

Publication Top Notes:

A-D-A small molecules featuring multi-fused rings and fluorinated benzothiadiazole for solution-processed organic field-effect transistors

Formation and annihilation of point defects in SiO2 glass during neutron irradiation and annealing

Bipolar AlGaN Ultraviolet Photodetector for Neuromorphic Computing Applications

High-Performance Flexible PbS Nanofilm Wavelength Sensor with Detection Region Ranging from DUV to NIR

Guiding uniform zinc ion flux with 18-Crown-6 additives for highly reversible Zn metal anodes

Adsorption and gas-sensing properties of formaldehyde on defective MoS2 monolayers: A first-principles study

Dielectric ultracapacitors based on columnar nano-grained ferroelectric oxide films with gradient phases along the growth direction

 

 

Prof. Xun Yang | Quantum Sensor Awards | Best Researcher Award

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Prof. Xun Yang | Quantum Sensor Awards | Best Researcher Award 

Prof. Xun Yang, Zhengzhou university, China

Yang Xun, Ph.D., is an Associate Professor at the School of Physics, Zhengzhou University, specializing in wide bandgap semiconductor optoelectronic devices. Recognized as a young top talent, he has led several national and provincial research projects, including studies on ultraviolet plasma nanolasers, Ga₂O₃ detectors for weak solar-blind signal imaging, and diamond semiconductor optical applications. He earned his Ph.D. in Condensed Matter Physics from the University of Chinese Academy of Sciences and has been actively engaged in both research and mentorship, guiding master’s students in cutting-edge optoelectronics. His contributions to the field have been acknowledged with prestigious awards such as the Henan Province Natural Science Academic Award and multiple accolades for scientific and technological excellence. In addition to his research, Dr. Yang serves as a special issue editor for journals like Materials and Remote Sensing, further cementing his role as a key figure in semiconductor physics and advanced optical technology.

Professional Profile:

ORCID

SCOPUS

Summary of Dr. Yang Xun’s Suitability for the Best Researcher Award

Dr. Yang Xun is an accomplished researcher and educator specializing in wide bandgap semiconductor optoelectronic devices. As an Associate Professor at Zhengzhou University, he has demonstrated exceptional leadership in research, innovation, and mentorship, making significant contributions to the advancement of semiconductor physics and optoelectronic technologies. With a Ph.D. in Condensed Matter Physics from the University of Chinese Academy of Sciences, Dr. Yang has led multiple high-impact national and provincial research projects focused on UV plasma nanolasers, diamond semiconductor optics, and Ga₂O₃ detectors for solar-blind imaging. His research has secured substantial funding, including grants from the National Natural Science Foundation of China (NSFC), the China Postdoctoral Science Foundation, and Henan Province’s Major Science & Technology Projects.

📚 Education:

  • 🎓 Ph.D. in Condensed Matter Physics – University of Chinese Academy of Sciences (2012 – 2017)
    • Supervisor: Professor Shàn Chóngxīn
  • 🎓 B.Sc. in Condensed Matter Physics – University of Science and Technology of China (2008 – 2012)

💼 Work Experience:

  • 👨‍🏫 Associate Professor, School of Physics, Zhengzhou University (Sept. 2021 – Present)
  • 👨‍🏫 Lecturer, School of Physics, Zhengzhou University (Aug. 2017 – Aug. 2021)

🔬 Research & Projects:

  • 💰 National Key R&D Program – “Development of Key Sensors for Medical Imaging Equipment” (Funding: 800,000 CNY, 2021-2024)
  • 💎 Henan Province Major Science & Technology Project – “High Thermal Conductivity & High Transmittance Diamond Materials” (Funding: 1,440,000 CNY, 2021-2024)
  • 🔬 NSFC Youth Project – “Electrically Pumped Ultraviolet Plasma Nanolaser” (Funding: 250,000 CNY, 2019-2021)
  • 🏅 China Postdoctoral Science Foundation Special Grant – “Enhancement of 2D Material Light Absorption Efficiency” (Funding: 180,000 CNY, 2020-2021)

🏆 Awards & Honors:

  • 🏅 Henan Province Natural Science Academic Award – Excellent Paper (First Prize)
  • 🏆 Henan Provincial Education Department – Excellent Science & Technology Paper Award (First Prize)
  • 🥉 China International “Internet+” Innovation & Entrepreneurship Competition – Bronze Award (Mentor)
  • 🥉 China Graduate Electronic Design Competition (National Finals) – Third Prize (Mentor)
  • 🥇 China Graduate Electronic Design Competition (Huazhong Division) – First Prize (Mentor)

Publication Top Notes:

Solar-Blind Ultraviolet Photodetectors Based on Porous β-Ga2O3 Nanorods for Deep-Ultraviolet Communications

Laser Writing of GaN/Ga2O3 Heterojunction Photodetector Arrays

Ultrawide Bandgap Diamond/ε-Ga2O3 Heterojunction pn Diodes with Breakdown Voltages over 3 kV

Gate-tunable positive and negative photoresponses based on a mixed-dimensional Ga2O3/WSe2 junction field-effect transistor for logic operation

Highly sensitive diamond X-ray detector array for high-temperature applications

High-Pressure Synthesis and Characterization of Cr-Doped Large Single-Crystal Diamonds

Mr. Saif Alkadhim | Sensor Awards | Best Researcher Award

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Mr. Saif Alkadhim | Sensor Awards | Best Researcher Award 

Mr. Saif Alkadhim, Xi’an Jiaotong University, China

Dr. Saif Aldeen Al-Kadhim, a Senior IEEE member, is a distinguished researcher and engineer specializing in electrical engineering, sensor technologies, and IoT applications. He is currently a Ph.D. candidate at Xi’an Jiaotong University, where he is also actively involved in research at the Innovation Harbour Campus. In addition, he serves as the China representative for IEEE PESDay24 and holds an advisory role on the Expert Advisory Committee of the Taizhou Robotics Society. Dr. Al-Kadhim’s research focuses on cutting-edge areas such as in-sensor computing for MEMS and NEMS, electromagnetic analysis, and PCB and circuit design. He has extensive professional experience, including his role as Chief Engineer overseeing the development and quality assurance of advanced sensor and MEMS products. His prior roles include positions as an assistant lecturer and PCB design engineer, where he gained expertise in CNC programming, embedded systems, and IoT solutions. Dr. Al-Kadhim has contributed to several innovative projects, including prototyping wireless CNC controllers, developing 5G antennas, and designing industrial IoT monitoring systems. His professional affiliations with IEEE societies underscore his dedication to advancing technology in power systems, robotics, and industrial electronics. Fluent in both technical and collaborative roles, Dr. Al-Kadhim continues to drive advancements in electrical engineering and applied technology.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award: Saif Aldeen Al-Kadhim

Dr. Saif Aldeen Al-Kadhim is a highly qualified candidate for the Best Researcher Award due to his extensive expertise and achievements across multiple facets of electrical engineering, particularly in sensors, IoT, MEMS/NEMS, and electromagnetic analysis. He is an IEEE Senior Member and actively contributes to the academic community, including his role as the China representative for PESDay24 and his advisory position at the Taizhou Robotics Society. His experience includes both teaching and hands-on engineering, giving him a solid mix of practical and theoretical knowledge.

Education:

  • Ph.D. in Electrical Engineering (09/2020 – 07/2024)
    Xi’an Jiaotong University, Xi’an, Shaanxi, China
  • MSEE in Electrical Engineering (09/2015 – 06/2017)
    University of Technology, Iraq
  • Higher Diploma Degree in Power System Engineering (09/2009 – 12/2010)
    Middle Technical University, Iraq
  • BSEE in Electrical Engineering (09/2002 – 07/2006)
    University of Babylon, Iraq

Work Experience:

  • Chief Engineer (01/2020 – Present)
    Responsible for overseeing the development and implementation of new sensor and MEMS technologies. Ensures that sensor and MEMS products meet quality and performance standards, manages a team of engineers, and collaborates with marketing and sales departments to successfully introduce products to the market. Stays updated on the latest developments in sensor and MEMS technology.
  • Assistant Lecturer (01/2019 – 12/2020)
    Assisted the qualitative research team with coordinating interviewer training, arranging transcript services, collating investigator input, and creating codebooks. Worked with the Data Coordinating Center to manage and maintain data for the study database. Additionally, trained CNC operators in making insert changes and minor adjustments, troubleshooted hydraulic, electronic, and mechanical systems, and contributed to CNC program development.
  • PCB Design Engineer (06/2017 – 12/2019)
    AL BADER ELECTRONIC INDUSTRIES, Babylon, Iraq
    Responsible for creating 3D models for PCB footprints, managing PCB documentation, developing custom scripting for automation and quality improvements, and designing embedded systems. Utilized Mentor Graphics tools for schematic entry and PCB design, collaborating with mechanical and hardware developers for component placement.

Significant Performance:

  • Prototype wireless control for CNC machine (09/2017 – 12/2017): Developed a controller used in the university CNC workshop.
  • Microstrip Grid Antenna Array for 5G Mobile Devices (01/2018 – 06/2018): Designed and prototyped the antenna array as part of laboratory experiments.
  • Industrial Cloud Monitoring System based on IoT (06/2018 – 12/2018): Designed and prototyped this system.
  • IoT Management Solution for Fill Level Monitoring for Gravel Silos (01/2019 – 12/2020): Designed and prototyped an IoT solution.

Publication top Notes:

Mr. Dezhi Zheng | Smart Sensors Awards | Best Researcher Award

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Mr. Dezhi Zheng | Smart Sensors Awards | Best Researcher Award

Mr. Dezhi Zheng, Beijing Institute of Technology, China

Dr. Dezhi Zheng is a distinguished Professor and Doctoral Supervisor at the Advanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology. He received his Ph.D. in Precision Instruments and Machinery and his B.S. in Mechanical Engineering and Automation from Beihang University. With a career spanning roles from Lecturer to Associate Professor at the School of Instrumentation and Optoelectronic Engineering at Beihang University, and a Visiting Scholar at the University of Victoria, Dr. Zheng has made significant contributions to airborne information detection, extreme signal measurement technology, and sensor-sensitive mechanisms. His research, focused on national strategic needs, has advanced the theoretical and applied aspects of precise sensing for weak physical features. Key achievements include innovations in resonant sensor technology to enhance aircraft altitude measurement, ultra-low frequency vibration sensor calibration for explosion monitoring, and wearable sensing devices that address long-term usability in brain-computer interfaces. With over 70 academic publications, 30 invention patents, and participation in more than 30 national research projects, Dr. Zheng’s work has had impactful applications in resonant sensors, low-frequency vibration technology, and smart wearable devices.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award:

Professor Dezhi Zheng, affiliated with the Advanced Research Institute of Multidisciplinary Sciences at Beijing Institute of Technology, has a distinguished profile that aligns well with the criteria for the Best Researcher Award.

🎓 Education

  • 2000-2006: Ph.D. in Precision Instruments and Machinery, Beihang University 🛠️
  • 2008-2012: B.S. in Mechanical Engineering and Automation, Beihang University 🧑‍🎓

🔬 Research Interests

  • 📡 Airborne Information Detection
  • 🛰️ Extreme Signal Measurement Technology
  • 🎛️ Sensor Sensitivity Mechanism

🔍 Research Highlights

Prof. Zheng’s research addresses major national strategic needs in precise sensing technology and weak physical feature applications. Notable achievements include:

  • ✈️ Enhanced Aircraft Altitude Measurement: Developed resonant sensor technologies that improve flight height measurement by nearly an order of magnitude
  • 🌋 Ultra-Low Frequency Vibration Measurement: Pioneered ultra-low frequency sensors for explosion vibration, achieving precise calibration at 0.01Hz
  • 🧠 Wearable Bioelectrical Sensing: Innovated wearable, long-use sensors for brain-computer interfaces, enabling breakthrough applications in wearable tech

🏆 Key Contributions

  • Led research applied in resonant sensors, low-frequency vibration calibration, and smart helmets 🪖
  • Solved technical challenges including sensor device coupled vibration, nonlinear measurement, and dynamic response 🌐
  • Participated in 30+ national research projects
  • Published 70+ academic papers 📄
  • Authorized 30+ invention patents 🔑

Publication top Notes:

UniRTL: A universal RGBT and low-light benchmark for object tracking

Adaptive temperature compensation for MoS2 humidity sensor in complex environments using ISSA-BP neural network

Catadioptric omnidirectional thermal odometry in dynamic environment

A hybrid method for asynchronous detection of motor imagery electroencephalogram fusing alpha rhythm and movement-related cortical potential

Investigation of the morphology and structural transformation of 6H-SiC induced by a single femtosecond laser pulse

Nuclei engineering for even halide distribution in stable perovskite/silicon tandem solar cells

Assoc Prof Dr. Shujie Wang | Sensors Award | Best Researcher Award

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Assoc Prof Dr. Shujie Wang | Sensors Award | Best Researcher Award

Assoc Prof Dr. Shujie Wang, Chinese Academy of Agricultural Sciences, China 

Shujie Wang is a dedicated researcher at the Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences. He received his Ph.D. in Animal Medicine from Northeast Agricultural University in 2013, having previously earned his Master’s and Bachelor’s degrees in the same field from the same institution. Since 2017, he has been working as an Assistant and Associate Researcher in the Innovation Team for Research on Swine Immunosuppressive Diseases. His work focuses on the clinical immunology of swine diseases, including the pathological effects of Streptococcus suis infection, and he plays a key role in developing diagnostic products for diseases such as PRRSV, ASF, and SVV. His previous experience includes postdoctoral research at the University of Montreal and years of work on animal pathogen monitoring.

Professional Profile:

Summary of Suitability for Best Researcher Award

Shujie Wang is a highly qualified researcher at the Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences. With a strong academic foundation including a Ph.D. in Animal Medicine, he has focused his research on swine immunosuppressive diseases and the development of diagnostic products. His extensive work experience spans various roles in the field of veterinary science, from intern researcher to assistant and associate researcher, highlighting a solid progression and deepening expertise.

Education:

  • Ph.D. in Animal Medicine
    Northeast Agricultural University, 2010/09 – 2013/06
    Supervisor: Prof. Zhang Xiuying
  • Master’s in Animal Medicine
    Northeast Agricultural University, 2001/09 – 2004/06
    Supervisor: Prof. Zhang Xiuying
  • Bachelor’s in Animal Medicine
    Northeast Agricultural University, awarded June 2001
    1997/09 – 2001/06

Work Experience:

  • 2017/03 – Present: Assistant Researcher, Associate Researcher
    Innovation Team for Research on Swine Immunosuppressive Diseases, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences
  • 2016/03 – 2017/03: Postdoctoral Fellow
    International Reference Laboratory for Swine Streptococcus, Faculty of Veterinary Medicine, University of Montreal, Canada
    Supervisor: Prof. Dr. Mariela Segura
  • 2008/01 – 2016/03: Assistant Researcher
    Animal Pathogen Monitoring and Epidemiology Research Team, Harbin Veterinary Research Institute
  • 2005/08 – 2007/12: Intern Researcher
    Comprehensive Prevention and Control Project Group for Swine Diseases, Harbin Veterinary Research Institute
  • 2004/07 – 2005/07: Intern Researcher
    Zoonosis Project Group, Harbin Veterinary Research Institute

Publication top Notes:

Lipid A-modified Escherichia coli can produce porcine parvovirus virus-like particles with high immunogenicity and minimal endotoxin activity

MARCH8 inhibits pseudorabies virus replication by trapping the viral cell-to-cell fusion complex in the trans-Golgi network

Immortalization of Mesenchymal Stem Cell Lines from Sheep Umbilical Cord Tissue

Inflammation plays a critical role in damage to the bronchiolar epithelium induced by Trueperella pyogenes in vitro and in vivo

Immunogenicity Characterization of the Recombinant gI Protein Fragment from Pseudorabies Virus and an Evaluation of Its Diagnostic Use in Pigs

Genetic and In Vitro Characteristics of a Porcine Circovirus Type 3 Isolate from Northeast China

Prof Dr. Dong Wang | Sensors and Actuators | Best Researcher Award

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 Prof Dr. Dong Wang | Sensors and Actuators | Best Researcher Award

 Prof Dr. Dong Wang, Xinjiang University,China 

Dong Wang is a prominent figure in the field of Organic Chemistry, currently serving as the Deputy Dean of the School of Pharmaceutical Sciences and Institute of Materia Medica at Xinjiang University. With a passion for research and education, he has made significant contributions to the study of chemical engineering and health-related topics. His academic journey is marked by a dedication to understanding complex chemical processes, particularly in drug development. Dong’s career reflects a commitment to advancing scientific knowledge and nurturing the next generation of chemists.

Professional Profile

Suitability for the Best Researcher Award: 

Dong Wang, a distinguished academic and researcher in Organic Chemistry, holds a Ph.D. from Louisiana State University with a perfect GPA of 4.0. Currently serving as the Deputy Dean and a Full Professor at Xinjiang University, he has an extensive background in both research and teaching. His work focuses on selective detection methods and the synthesis of bioactive compounds, contributing significantly to the fields of pharmaceutical sciences and organic chemistry.

Education 

Dong Wang obtained his Ph.D. in Organic Chemistry from Louisiana State University in 2011, achieving a remarkable GPA of 4.0. His dissertation focused on the selective detection of homocysteine (Hcy) and the synthesis of vinigrol under the guidance of Prof. William E. Crowe. Prior to this, he earned a Master’s degree in Applied Chemistry from Beijing Institute of Technology, where he designed aldose reductase inhibitors. He completed his Bachelor’s in Chemical Engineering and Technology at the same institution, laying a strong foundation for his research career.

 Work Experience

Dong has extensive experience in academia and the pharmaceutical industry. He is currently a Full Professor and Deputy Dean at Xinjiang University, where he oversees academic programs and research initiatives. Previously, he served as an Associate Professor at both Xinjiang University and Tianjin University of Science & Technology. His industry experience includes roles at Longwood Biopharmaceuticals and WuXi PharmaTech, where he contributed to drug development and research. His diverse background enriches his teaching and research, bridging theory and practical application in chemistry.

 Skills

Dong Wang possesses a robust skill set in organic synthesis, analytical chemistry, and chemical engineering. He excels in the design and implementation of experiments for drug discovery and development, particularly in the area of enzyme inhibitors. His proficiency in utilizing advanced techniques such as machine learning for data analysis enhances his research capabilities. Additionally, he is skilled in project management and team leadership, facilitating collaborative research efforts. Dong’s ability to communicate complex scientific concepts effectively is a valuable asset in both educational and professional settings.

 Awards and Honors

Dong has received numerous accolades throughout his academic career. In 2023, he was awarded the Top Cited Article Award from Wiley, recognizing his significant contributions to the field. In 2022, he received the Top Downloaded Article Award, reflecting the impact of his research on the scientific community. Additionally, he was honored with the Charles E. Coates Travel Award during his doctoral studies, as well as multiple Enhancement Awards from the LSU Graduate School. His commitment to excellence in research and education has consistently been acknowledged through these honors.

 Membership

Dong Wang is an active member of several professional organizations related to chemistry and pharmaceutical sciences. His memberships include the American Chemical Society and the Chinese Chemical Society, which facilitate networking and collaboration within the scientific community. These affiliations enable him to stay updated on the latest research trends and innovations in chemistry, enhancing his teaching and research efforts. Dong also participates in conferences and workshops, contributing his expertise and learning from peers in the field.

 Teaching Experience

With a rich background in education, Dong Wang has served as a Graduate Teaching Assistant during his doctoral studies and has taught various courses at Xinjiang University and Tianjin University of Science & Technology. His teaching philosophy emphasizes interactive learning and critical thinking, fostering a deep understanding of organic chemistry among students. As a professor, he is committed to mentoring students and guiding them in research projects, ensuring they develop the skills necessary for success in academia and industry.

 Research Focus

Dong’s primary research interests lie in Organic Chemistry, with a specific focus on drug design and synthesis. His notable work includes the selective detection of homocysteine and the development of aldose reductase inhibitors, which are critical in diabetes treatment. He is also involved in projects related to structural health monitoring and biopharmaceuticals, exploring innovative solutions to complex health challenges. Dong’s research integrates advanced analytical techniques and interdisciplinary approaches, contributing to the advancement of pharmaceutical sciences and enhancing patient care.

 

Publications Notes:📄

  • Accessing 1,8-Naphthyridone-3-carboxylic Acid Derivatives and Application to the Synthesis of Amfonelic Acid
    Year: 2024
    Journal: The Journal of Organic Chemistry
    DOI: 10.1021/acs.joc.4c00415
  • Accessing Tetrahydroquinaldic Amide and Homoproline Derivatives by Dearomative Difunctionalization of Heteroaromatics
    Year: 2024
    Journal: Asian Journal of Organic Chemistry
    DOI: 10.1002/ajoc.202300559
  • Green and fast 2-aryloxylation/amination of quinolines
    Year: 2024
    Journal: Green Chemistry
    DOI: 10.1039/D3GC05178A
  • Phosphonium Salt-Promoted C2–H Functionalization of Heterocyclic N-Oxides
    Year: 2023
    Journal: Organic Letters
    DOI: 10.1021/acs.orglett.3c03742
  • Transition‐Metal‐Free Regioselective Direct C2, C4 Difunctionalization and C2, C4, C6 Trifunctionalization of Pyridines
    Year: 2022
    Journal: Advanced Synthesis & Catalysis
    DOI: 10.1002/adsc.202200261
  • Flavaglines: Their Discovery from Plants Used in Traditional Chinese Medicine, Synthesis, and Drug Development Against Cancer and Immune Disorders
    Year: 2022
    Journal: Current Chinese Chemistry
    DOI: 10.2174/2666001601666211126091737
  • Rapid Generation of Tetrahydropyridines and Tetrahydroquinolines by Dearomative Cyanation/Grignard Addition
    Year: 2022
    Journal: Chemistry – An Asian Journal
    DOI: 10.1002/asia.202200077
  • Development of fluorizoline analogues as prohibitin ligands that modulate C-RAF signaling, p21 expression and melanogenesis
    Year: 2022
    Journal: European Journal of Medicinal Chemistry
    DOI: 10.1016/J.EJMECH.2022.114635
  • Recent Advances in the Synthesis of C2‐Functionalized Pyridines and Quinolines Using N‐Oxide Chemistry
    Year: 2021
    Journal: Advanced Synthesis & Catalysis
    DOI: 10.1002/adsc.202001427
  • Front Cover Picture: Recent Advances in the Synthesis of C2‐Functionalized Pyridines and Quinolines Using N‐Oxide Chemistry
    Year: 2021
    Journal: Advanced Synthesis & Catalysis
    DOI: 10.1002/adsc.202000910

 

 

 

 

Dr Susana Novais | Physical Sensors | Best Researcher Award

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Dr Susana Novais |Physical Sensors| Best Researcher Award

Dr Susana Novais ,Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência INESC TEC, Portugal

Dr. Susana Cristina Ribeiro Novais is an expert in optics and optoelectronics, currently serving as an Assistant Researcher at INESC TEC in Portugal. With extensive experience in both research and academic environments, Dr. Novais has made significant contributions to the field of optical fiber sensors and biomedical technologies. She holds a Ph.D. in Physics Engineering with a specialization in Optics and Optoelectronics, and has been involved in numerous high-impact research projects and international conferences. Her work is recognized for its innovation and depth, positioning her as a leading figure in her domain.

Professional Profile:

Suitability for the Best Researcher Award: 

Susana Cristina Ribeiro Novais is a highly deserving candidate for the Best Researcher Award due to her significant contributions to the fields of optics and biomedical technologies. Her impressive research output, leadership roles, and active participation in academic and professional communities highlight her exceptional qualifications. By addressing the identified areas for improvement, Dr. Novais could further strengthen her already distinguished profile, making her an exemplary choice for this prestigious recognition. Her work not only advances scientific knowledge but also has practical implications in technology and healthcare, underscoring her value as a leading researcher.

Education

Dr. Susana Cristina Ribeiro Novais earned her Ph.D. in Physics Engineering, specializing in Optics and Optoelectronics, from Universidade de Aveiro, Portugal, in February 2019, with distinction. Her doctoral thesis focused on optical fiber sensors for challenging media. She completed her M.Sc. in Biomedical Technologies with a focus on Biomechanics and Rehabilitation at Instituto Politécnico de Bragança in 2012. Her B.Sc. in Biomedical Engineering, also from Instituto Politécnico de Bragança, was awarded in 2010, with a thesis on vital sign monitoring systems.

 Work Experience

Dr. Novais is currently an Assistant Researcher at INESC TEC, where she has been working since June 2021. Prior to this role, she served as a Research Fellow at INESC TEC and Universidade de Aveiro, contributing to several research projects in optics and biomedical technologies. Her experience also includes working with Johnson Matthey Systems in the UK and conducting short-term scientific missions at Helmholtz Institute and Johnson Matthey Battery Systems. Her roles have involved significant contributions to both applied and theoretical research.

 Skills

Dr. Susana Novais possesses a diverse skill set in physics and optics, including expertise in optical fiber sensors and optoelectronics. She is proficient in designing and implementing advanced optical systems for various applications. Her skills extend to biomedical technologies, particularly in developing micro-devices and monitoring systems. She is also adept in project management, scientific communication, and technical review, with extensive experience in organizing conferences and reviewing scientific literature.

 Awards and Honors

Dr. Novais has been recognized for her outstanding contributions to optics and biomedical technologies. Her Ph.D. thesis was awarded with praise and distinction, highlighting the significance of her research on optical fiber sensors. Her involvement in key projects such as FCT project ENDOR and European Project SIRBATT underscores her reputation in the field. She has also been honored for her role as a local organizer and technical chair for major conferences like EOSAM 2022.

 Membership

Dr. Susana Cristina Ribeiro Novais is an active member of several professional organizations related to optics and physics. She has been involved in the European Optical Society and various scientific committees, reflecting her engagement with the scientific community. Her memberships provide her with platforms to contribute to advancements in her field and collaborate with other experts in optics and optoelectronics.

 Teaching Experience

Dr. Novais has extensive teaching experience, including her role as a co-supervisor for Master’s theses in Engineering Physics at Universidade Católica Portuguesa. Her academic involvement extends to serving as a main examiner and jury member for the best thesis in optics and photonics in Portugal. Her teaching experience reflects her commitment to educating the next generation of scientists and engineers in the field of optics and optoelectronics.

 Research Focus

Dr. Susana Novais’s research focuses on optics and optoelectronics, particularly in the development and application of optical fiber sensors. Her work includes advancing technologies for challenging media and exploring innovative solutions in biomedical technologies. She is involved in high-impact projects such as the FCT project ENDOR and European Project SIRBATT, addressing key issues in renewable energy and sensor technology. Her research aims to push the boundaries of current optical technologies and their applications.

Publication top Notes:
  • “Coreless silica fiber sensor based on self-image theory and coated with graphene oxide”
    • Year: 2024
    • Journal: Optical Sensing and Detection VIII (Conference Paper)
    • DOI: 10.1117/12.3022374
  • “Linear Fiber Laser Configurations for Optical Concentration Sensing in Liquid Solutions”
    • Year: 2024
    • Journal: Photonics
    • DOI: 10.3390/photonics11050393
  • “Linear Fiber Laser Configurations for Optical Concentration Sensing in Liquid Solutions”
    • Year: 2024
    • Type: Preprint
    • DOI: 10.20944/preprints202402.0004.v1
  • “Enhanced Sensitivity in Optical Sensors through Self-Image Theory and Graphene Oxide Coating”
    • Year: 2024
    • Journal: Sensors
    • DOI: 10.3390/s24030891
  • “Paracetamol concentration-sensing scheme based on a linear cavity fiber laser configuration”
    • Year: 2023
    • Journal: Optical Fiber Technology
    • DOI: 10.1016/j.yofte.2023.103407
  • “Refractive Index Measurements of Ethanol–Water Binary Liquid Solutions Using a Graded-Index Fiber Tip Sensor”
    • Year: 2023
    • Journal: IEEE Sensors Letters
    • DOI: 10.1109/LSENS.2023.3303079
  • “Measurement of paracetamol concentration using a fiber laser system”
    • Year: 2023
    • Conference: 2023 IEEE 7th Portuguese Meeting on Bioengineering (ENBENG)
    • DOI: 10.1109/enbeng58165.2023.10175344
  • “Transmissive glucose concentration plasmonic Au sensor based on unclad optical fiber”
    • Year: 2023
    • Conference: 2023 IEEE 7th Portuguese Meeting on Bioengineering (ENBENG)
    • DOI: 10.1109/enbeng58165.2023.10175342
  • “Erbium-doped fiber ring cavity for the measurement of refractive index variations”
    • Year: 2023
    • Conference: European Workshop on Optical Fibre Sensors (EWOFS 2023)
    • DOI: 10.1117/12.2678101
  • “Measurement of Paracetamol Concentration Using an Erbium-Doped Fiber Ring Cavity”
    • Year: 2023
    • Journal: Photonics
    • DOI: 10.3390/photonics10010050

 

Ms. Xinlu Bai | Sensing Awards | Best Researcher Award

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Ms. Xinlu Bai | Sensing Awards | Best Researcher Award

Ms. Xinlu Bai, Changchun university, China

Xinlu Bai is a dedicated researcher currently pursuing a Master’s degree in Computer Science at Changchun University, following an Engineering Degree from Zhengzhou University of Finance and Economics (2018-2022). Xinlu has made significant contributions to the field of computer vision, particularly in dense pedestrian detection. His research includes the development of the GR-YOLO algorithm, which improves detection performance over existing methods like YOLOv8, with notable advancements in accuracy across various datasets. Xinlu’s work has been published in Sensors and has been guided by esteemed professors Deyou Chen and Nianfeng Li. He has been recognized for his excellence in competitions, winning the first prize in the Jilin Province Virtual Reality Competition, the second prize in the China Virtual Reality Competition (Data Visualization Track), and the third prize in the Jilin Province Ruikang Robot Competition.

Professional Profile:

Orcid

Suitability Summary for Best Researcher Award

Researcher: Xinlu Bai

Summary:

Xinlu Bai is a highly qualified candidate for the Best Researcher Award, distinguished by his innovative research and significant contributions to the field of computer science, particularly in pedestrian detection technology. Bai’s work demonstrates a clear commitment to advancing technology through rigorous research and practical applications.

🎓Education:

Xinlu Bai is a dedicated researcher currently pursuing a Master’s degree in Computer Science at Changchun University, which he has been enrolled in since 2023. He previously completed his Engineering Degree at Zhengzhou University of Finance and Economics, where he studied from 2018 to 2022. Xinlu has made significant contributions to the field of computer vision, particularly in dense pedestrian detection. His development of the GR-YOLO algorithm, which enhances detection performance compared to YOLOv8, has been recognized through publications in Sensors and has been guided by esteemed professors Deyou Chen and Nianfeng Li. His excellence has been acknowledged in various competitions, including winning the first prize in the Jilin Province Virtual Reality Competition, the second prize in the China Virtual Reality Competition (Data Visualization Track), and the third prize in the Jilin Province Ruikang Robot Competition.

🏆Awards:

Xinlu Bai is a dedicated researcher currently pursuing a Master’s degree in Computer Science at Changchun University, having previously completed his Engineering Degree at Zhengzhou University of Finance and Economics. His contributions to computer vision, particularly through the development of the GR-YOLO algorithm, have been published in Sensors and guided by Professors Deyou Chen and Nianfeng Li. Xinlu’s excellence in the field has been recognized with several prestigious awards: he won the First Prize in the Jilin Province Virtual Reality Competition, the Second Prize in the China Virtual Reality Competition (Data Visualization Track), and the Third Prize in the Jilin Province Ruikang Robot Competition.

Publication Top Notes:

Title: Dense Pedestrian Detection Based on GR-YOLO

 

 

 

Dr. Salomao Moraes da Silva Junior | Sensors Award | Best Researcher Award

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Dr. Salomao Moraes da Silva Junior | Sensors Award | Best Researcher Award 

Dr. Salomao Moraes da Silva Junior, BioSense Institute, Serbia

Salomão Moraes da Silva Junior is an accomplished researcher and engineer specializing in microfluidics. He holds a Joint Ph.D. in Engineering Sciences from Vrije Universiteit Brussel and a Ph.D. in Electrical Engineering from the University of Campinas, both completed in 2019. With a diverse educational background, including a Master’s in Electrical Engineering and a Bachelor’s in Electrical Engineering, he has amassed significant expertise in microfluidics design and fabrication. Currently, Salomão serves as an Experienced Microfluidics Researcher and Postdoctoral Researcher at the BioSense Institute, University of Novi Sad, where he focuses on developing innovative microfluidic platforms and applications in biosensors, agriculture, and environmental sectors. His previous roles include working as an Engineer of New Technology at AbCheck s.r.o. and as a Doctoral and Master Research Assistant at Vrije Universiteit Brussel and University of Campinas.

Professional Profile:

Summary of Suitability for Best Researcher Award:

Salomão Moraes da Silva Junior’s extensive background in microfluidics research and engineering makes him a highly suitable candidate for the Best Researcher Award. His educational qualifications, including a Joint Ph.D. in Engineering Sciences with “Greatest distinction” and a Ph.D. in Electrical Engineering, underline his profound expertise and commitment to the field.

Education

  • Ph.D. in Engineering Sciences (Joint Ph.D. with “Greatest distinction”)
    Vrije Universiteit Brussel (VUB)
    2019
  • Ph.D. in Electrical Engineering
    University of Campinas (UNICAMP)
    2019
  • Master’s in Electrical Engineering
    University of Campinas (UNICAMP)
    2014
  • Bachelor’s Degree in Electrical Engineering
    State University of Amazonas (UEA)
    2012
  • Post-Technician in Electronics
    CETAM
    2008
  • Technician in Electronics
    Mathias Machline Foundation (FMM)
    2004

Work Experience

  • Experienced Microfluidics Researcher / Postdoctoral Researcher
    BioSense Institute at University of Novi Sad
    August 2021 – Present

    • Develops new microfluidics platforms from design to application using cleanroom microfabrication protocols.
    • Serves as a cleanroom lab manager (deputy).
    • Conducts research and publishes on microfluidics solutions applied to biosensors, agriculture, and environmental sectors.
    • Specializes in single-cell encapsulation, co-encapsulation, on-chip emulsion extraction, and pico-injection.
  • Engineer of New Technology
    AbCheck s.r.o
    September 2019 – August 2021

    • Developed new microfluidics platforms from design to application, adhering to standard protocols for cell applications.
    • Reported and presented results in internal seminars.
    • Worked on passive micromixers, single-cell encapsulation, co-encapsulation, hydrogel extraction, and pico-injection.
  • Doctoral Research Assistant
    Vrije Universiteit Brussel and University of Campinas (Joint Ph.D.)
    September 2014 – August 2019

    • Researched new fabrication protocols for microfluidics in cleanroom facilities.
    • Integrated microchannels with sensors and designed droplet generator chips, flow-focusing, and micromixers.
    • Published research in peer-reviewed journals and taught electronics.
  • Master Research Assistant
    University of Campinas
    September 2012 – August 2014

    • Developed microfabrication protocols for microfluidics in cleanroom facilities and integrated microchannels with sensors.
    • Published research in conferences and trained in electronics teaching.
  • Electronic Technician
    Videolar S/A
    2007 – 2009

    • Conducted preventive and corrective maintenance on automated manufacturing and replicating machines.
    • Wrote reporting protocols.

Publication top Notes:

A Novel Microfluidics Droplet-Based Interdigitated Ring-Shaped Electrode Sensor for Lab-on-a-Chip Applications

WET TREATMENT AND THE BEHAVIOR OF ELECTROLESS Ni-P DEPOSITION AT 40 °C ON POLISHED ALUMINA

MICROFABRICATION PROCESS OF PASSIVE AND ACTIVE MICROFLUIDIC DEVICES

Microfluidic devices on glass for liquid mixtures concentration with coupled Thz sensor

Subterahertz sensor in microfluidic devices for on-line determination and control of ethanol concentration

Assist Prof Dr. Samuel Erskine | Sensors and Actuators | Best Researcher Award

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Assist Prof Dr. Samuel Erskine | Sensors and Actuators | Best Researcher Award

Assist Prof Dr. Samuel Erskine, Florida A&M University,United States

Samuel Kofi Erskine, Ph.D., is an accomplished scholar and professional with a distinguished background in computer science and engineering. Dr. Erskine earned his Ph.D. from the University of Bridgeport in 2020, with a dissertation focused on the “Secure Intelligent Vehicular Network Including Real-Time Detection of DoS Attacks in IEEE 802.11P Using Fog Computing.” He also holds an M.S. in Telecommunications and a Graduate Certificate in Advanced Network Protocols from George Mason University. His expertise spans computer network software engineering, Agile testing, simulation and modeling, and research in AI/ML cybersecurity applications and wireless 5G & 6G computing technologies. Currently serving as an Assistant Professor and Graduate Cybersecurity Coordinator at Florida A&M University, Dr. Erskine’s roles involve teaching, curriculum development, research in next-generation computing wireless technologies, and administrative oversight of the graduate cybersecurity program. His professional experience includes positions such as a Visiting Assistant Professor at the University of Pittsburgh, a Network Security Engineer at Sprint, and a remote AI Writing Evaluator for Outlier USA. Dr. Erskine has also contributed significantly to academic literature, serving as a reviewer for IEEE and MDPI research journals, and has been recognized with several awards, including a Ph.D. researcher scholarship assistantship and the NCyTE award for cybersecurity training.

 

Professional Profile

Education 🎓:

  • Ph.D. in Computer Science and Engineering from the University of Bridgeport, CT, USA (2020), with a dissertation titled “Secure Intelligent Vehicular Network Including Real-Time Detection of DoS Attacks in IEEE 802.11P Using Fog Computing.”
  • M.S. in Telecommunications from George Mason University, Fairfax, VA, USA (2008).
  • Graduate Certificate in Advanced Network Protocols in Telecommunications from George Mason University (2008).

Software Skills 💻:

  • Proficient in Python, C++, and MATLAB.

Certifications 🎖️:

  • Introduction to Machine Learning for Cybersecurity Course (UWF – Florida Cybersecurity Training Program, 2023).
  • Data Security Course (UWF – Florida Cybersecurity Training Program, 2023).

Professional Experience 💼:

  • Assistant Professor and Researcher at Florida A&M University (2022-present), focusing on next-generation computing wireless technologies and NSF-funded research proposals.
  • Graduate Cybersecurity Coordinator at Florida A&M University (2023-present), overseeing the graduate program and advising students.
  • Undergraduate Research Mentor at Florida A&M University (Summer 2023).
  • Visiting Assistant Professor at the University of Pittsburgh, Bradford (2021-2022), teaching cybersecurity courses.
  • Ph.D. Researcher and Graduate Teaching Assistant at the University of Bridgeport (2013-2020), focusing on AI and deep neural learning methods.
  • Network Security Engineer at Sprint, Reston, VA (2007-2008).
  • Research Journal Reviewer for IEEE Journal & MDPI (2004-present).

Awards 🏆:

  • Ph.D. researcher scholarship Assistantship.
  • Governor Innovation Fellowship (GIF) award.
  • NCyTE (NSF National Cybersecurity Training Education Program) Faculty award.

University Service 🏫:

  • CIS Department Graduate Cybersecurity Coordinator (2023-present).
  • CIS Department Research Mentor (Summer 2023).

Book Chapters 📖:

  • “Secure Intelligent Vehicular Network Including Real-Time Detection of DoS Attacks in IEEE 802.11P Using Fog Computing” (University of Bridgeport, USA).

Publications Notes:📄

Secure Data Aggregation Using Authentication and Authorization for Privacy Preservation in Wireless Sensor Networks
SDAA: Secure Data Aggregation and Authentication Using Multiple Sinks in Cluster-Based Underwater Vehicular Wireless Sensor Network
Secure Intelligent Vehicular Network Using Fog Computing