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

 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

 

 

 

 

Prof. Anna Pyayt | Sensors Award | Best Researcher Award

Prof. Anna Pyayt | Sensors Award | Best Researcher Award

Prof. Anna Pyayt, University of South Florida, United States

Anna Pyayt is an Associate Professor at the University of South Florida (USF), serving in the Department of Chemical, Biological, and Materials Engineering. She holds affiliated faculty positions in the Departments of Medical Engineering and Electrical Engineering, as well as the Material Science and Engineering Program at USF. Recognized as a senior member of the National Academy of Inventors, Dr. Pyayt has made significant contributions to the field of sensing applications, artificial intelligence, and mobile health technologies. She completed her dual Ph.D. in Electrical Engineering and Nanotechnology at the University of Washington. Dr. Pyayt’s research includes innovations in single-cell endoscopy, deep learning, and assistive technologies for the visually impaired. Her work has attracted substantial funding and numerous accolades, including significant grants from the National Science Foundation and the Department of Health, State of Florida. She has also been honored with multiple awards for her innovative contributions and has mentored students who have achieved significant recognition in their respective fields. Dr. Pyayt’s sabbatical at MagLab further underscores her commitment to advancing scientific research and education.

Professional Profile

Education

  • B.Sc. in Computer Science/Applied Mathematics with honors, ITMO University, Saint Petersburg, Russia, June 2001
  • M.Sc. in Computer Science/Applied Mathematics with honors, ITMO University, Saint Petersburg, Russia, June 2002
  • M.Sc. in Electrical Engineering, University of Washington, December 2005
  • Dual Ph.D. in Electrical Engineering and Nanotechnology, University of Washington, December 2009

Research Interests

  • Sensing
  • Artificial Intelligence
  • Knowledge Graphs
  • Mobile Health
  • Single Cell Endoscopy and Spectroscopy
  • Deep Learning
  • Software and Hardware Assistive Technologies for the Blind and Visually Impaired

Research Internships

  • Hewlett-Packard Labs, Summer 2007
    • Invented, designed, and fabricated two new sensors – an angle sensor and a Nano-photonic sensor (patented and published)
  • Microsoft Research, Summer 2006
    • Invented, designed, and fabricated a new display technology, Telescopic Pixel (patented and published in Nature Photonics)

Funding

  • Cancer SEARCH: $1,200,000, Department of Health, State of Florida, Co-PI
  • PFI-TT: $550,000, NSF, Co-PI
  • Georgia Tech Female Founders I-Corps: $5,000, PI
  • Interstellar Initiative: $30,000, Japan Agency for Medical Research and Development and the New York Academy of Sciences, Co-PI
  • USF COVID-19 Rapid Response grant: $25,000 + $5,000 match, PI
  • AWS Diagnostic Development Initiative: $50,000 from Amazon, Co-PI
  • 3D Visualizations for Material Science: $1,000, PI
  • Teaching Grant: $2,500, PI
  • Equipment Donation from Beckman Coulter Diagnostics: $100,000, PI
  • Industrial Support: $200,000, Co-PI
  • National Science Foundation: $420,000, Senior Personnel
  • National Science Foundation: $196,732, PI

Awards and Honors

  • President, Secretary, Executive Member of the USF Chapter of the National Academy of Inventors
  • Senior Member of the National Academy of Inventors
  • Featured in Advances in Engineering (2021)
  • Published in Sensors and Actuators B: Chemical (2019)
  • Elsevier coverage for MELISA paper (2018)
  • Invited to exhibit Hemolix technology at Cade Museum (2018)
  • Award from the ADVANCE Florida Network Women in STEM Scholars (2018)
  • Featured on Science Updates (2017)

Awards and Honors of Students

  • Numerous awards and recognitions for her students, including NIH MOSAIC K99/R00 Grant, best departmental paper awards, poster awards, travel scholarships, fellowships, and leadership awards.

Publications Notes:📄

Understanding Diffusion in a Single-Metal Organic Framework Crystal Used for Sensing Applications

Fully Digital Audio Haptic Maps for Individuals with Blindness

Leveraging Scalable Profiling to Learn and Visualize the Latest Trustworthy COVID-19 Medical Research Findings

Mobile ELISA with a Transparent Incubator

Simplifying Access to Large-scale Structured Datasets by Meta-Profiling with Scalable Training Set Enrichment

Visualizing and Querying Large-scale Structured Datasets by Learning Multi-layered 3D Meta-Profiles

 

 

 

 

 

 

 

 

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

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