Prof Dr. Seung-Bok Choi | Sensors Awards | Best Researcher Award

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Prof Dr. Seung-Bok Choi | Sensors Awards | Best Researcher Award 

Prof Dr. Seung-Bok Choi, The State University of New York, Korea, South Korea

Seung-Bok Choi is a distinguished professor in the Mechanical Engineering Department at The State University of New York, Korea (SUNY Korea), located in the Incheon Global Campus. He holds a Ph.D. (1990) and an M.S. (1986) in Mechanical Engineering from Michigan State University, and a B.S. (1979) in Mechanical Engineering from Inha University, Korea. Prior to his current role, he served for 30 years at Inha University. His research primarily focuses on the design and control of dynamic systems involving smart materials such as MR Fluid, ER Fluid, SMA, and piezoelectric materials. He has an impressive publication record with approximately 700 SCI articles and 20 books/book chapters. He holds editorial positions for 20 international journals, including Smart Materials and Structures, and Journal of Intelligent Material Systems and Structures. He has received numerous awards from prestigious organizations such as ASME, IMechE, NAEK, and KAST. A fellow of both KAST and NAEK, Choi’s accolades include the 4th Korea Engineering Award and the 8th Duckmyung Engineering Academy Award. His Google Scholar h-index is 71 with 23,737 citations, and he holds top national and global ranks in Mechanical and Aerospace Engineering, Vibration Control, and Smart Materials. He has advised 156 M.S. students, 43 Ph.D. students, and 14 postdoctoral fellows, and holds 145 registered Korean patents.

Professional Profile

ORCID

 

EDUCATION 🎓

  • Ph.D. in Mechanical Engineering
    Michigan State University, East Lansing, Michigan, U.S.A.
    1986. 9 – 1990. 6
  • M.S. in Mechanical Engineering
    Michigan State University, East Lansing, Michigan, U.S.A.
    1984. 9 – 1986. 6
  • B.S. in Mechanical Engineering
    Inha University, Incheon, Korea
    1975. 3 – 1979. 2

PROFESSIONAL EXPERIENCE 👨‍🏫

  • Leading Professor (碩座敎授), Mechanical Engineering Department
    The State University of New York, Korea (SUNY Korea)
    Present
  • Former Professor, Mechanical Engineering
    Inha University, Korea
    30 years of service, retired in 2021

RESEARCH INTERESTS & CONTRIBUTIONS 🔬

  • Research Fields: Design and control of dynamic systems with smart materials (MR Fluid, ER Fluid, SMA, piezoelectric materials).
  • Publications: About 700 SCI articles, 20 books/book chapters.
  • Editorial Roles: Serving on the editorial boards of 20 international journals including Smart Materials and Structures, Journal of Intelligent Material Systems and Structures, Sensors, and Scientific Reports.

HONORS & AWARDS 🏅

  • The Korean Academy of Science and Technology (KAST) & The National Academy of Engineering of Korea (NAEK)
    • Junior Fellow/Fellow/Senior Fellow (2000. 3 – Present)
    • The 4th Korea Engineering Award (Young Engineer Award) (2000. 3. 10)
    • Fellow (2008. 3 – Present)
    • *The 8th Duckmyung

 

Publication top Notes

 

Adaptive Control for Suspension System of In-Wheel Motor Vehicle with Magnetorheological Damper

Sensor-Less Control of Mirror Manipulator Using Shape Memory Polyimide Composite Actuator: Experimental Work

Design and Control of a Shape Memory Alloy-Based Idle Air Control Actuator for a Mid-Size Passenger Vehicle Application

A New Rotary Magnetorheological Damper for a Semi-Active Suspension System of Low-Floor Vehicles

A New Type of Hydraulic Clutch with Magnetorheological Fluid: Theory and Experiment

Sensors and Sensing Devices Utilizing Electrorheological Fluids and Magnetorheological Materials—A Review

 

 

Prof. Anna Pyayt | Sensors Award | Best Researcher Award

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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

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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