Tag: Sensor Innovation Recognition

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

Dr. Rui Yang | Sensor protection Awards | Best Researcher Award

Posted on 09/11/2024 by ScienceFather

Dr. Rui Yang | Sensor protection Awards | Best Researcher Award

Dr. Rui Yang, Guilin University of Electronic Technology, China

Rui Yang, Ph.D., is currently a doctoral candidate at the School of Computer and Information Security at Guilin University of Electronic Science and Technology, where he is specializing in deepfake detection. He obtained his Master’s degree from the same university, focusing on small-scale face detection in complex backgrounds. His research interests lie at the intersection of computer vision, machine learning, and multimedia security. Rui has contributed significantly to the field through several publications in prestigious journals, including IEEE Signal Processing Letters and ACM Transactions on Multimedia Computing, Communications, and Applications. His recent works explore advanced techniques in deepfake video detection, image captioning, and unsupervised models. Additionally, he has co-authored papers presented at international conferences, further demonstrating his expertise in applying artificial intelligence to multimedia security. Rui’s innovative contributions aim to enhance the detection and understanding of manipulated digital media.

Professional Profile:

Chinese image captioning via fuzzy attention-based DenseNet-BiLSTM

Summary of Suitability for Best Researcher Award:

Rui Yang, a Ph.D. candidate at Guilin University of Electronic Science and Technology, is a promising and accomplished researcher specializing in deepfake detection, with an impressive academic background and significant contributions to the field. His research focuses on cutting-edge techniques in deepfake detection, image captioning, and small-scale face detection, making him highly qualified for the Best Researcher Award.

🎓 Education

2021 – 2024: Ph.D., Guilin University of Electronic Science and Technology, School of Computer and Information Security
Research direction: Deepfake detection
2018 – 2021: M.E., Guilin University of Electronic Science and Technology, School of Computer and Information Security
Thesis title: Small-scale Face Detection in Complex Backgrounds
2014 – 2018: B.E., Yibin College, Computer Science and Technology
Thesis title: Restoration of Gaussian Blurred Images

💼 Work Experience

Guilin University of Electronic Science and Technology
Position: Ph.D. Student and Researcher in Computer and Information Security (Deepfake detection research)

Publication top Notes:

CITED:124

Fast RF-UIC: A fast unsupervised image captioning model

CITED:13

SE-IYOLOV3: An accurate small scale face detector for outdoor security

CITED:13

Kcr-FLAT: A Chinese-named entity recognition model with enhanced semantic information

CITED:7

4DPM: Deepfake Detection With a Denoising Diffusion Probabilistic Mask

CITED:4

Dr. Samprit Banerjee | Sensor integration Awards | Excellence in Innovation

Posted on 07/11/2024 by ScienceFather

Dr. Samprit Banerjee | Sensor integration Awards | Excellence in Innovation

Dr. Samprit Banerjee, Weill Medical College of Cornell University, United States

Dr. Samprit Banerjee is an Associate Professor of Biostatistics at the Weill Medical College of Cornell University, where he has held various academic appointments since 2011. He currently serves as an Associate Professor in both the Division of Biostatistics and the Department of Psychiatry, as well as the Director of the PhD program in Population Health Sciences. Dr. Banerjee’s expertise lies in biostatistics, data science, and epidemiology, with a focus on statistical methods for health research and healthcare policy. He is also a Special Government Employee at the FDA, contributing to the Center for Devices and Radiological Health. Dr. Banerjee has a distinguished academic background, holding a B.Stat and M.Stat from the Indian Statistical Institute, Kolkata, and a PhD in Biostatistics from the University of Alabama at Birmingham. His teaching experience includes directing multiple graduate-level courses in biostatistics, statistical learning, and big data in medicine. Throughout his career, he has mentored numerous junior researchers and contributed to the development of MS and PhD programs in Biostatistics and Data Science. Dr. Banerjee has also served as an elected representative for the Mental Health Statistics Section of the American Statistical Association.

Professional Profile:

Perioperative comparative effectiveness of anesthetic technique in orthopedic patients

Summary of Suitability for Excellence in Innovation

Samprit Banerjee, PhD, is highly suitable for the “Research for Excellence in Innovation” award based on his extensive academic background, research contributions, and leadership roles in biostatistics, epidemiology, and data science. His expertise in high-dimensional data analysis, machine learning, and multivariate statistics, combined with his significant contributions to medical and healthcare research, makes him a standout candidate.

Education:

1998-2001: B.Stat (Bachelors in Statistics), Indian Statistical Institute, Kolkata, India
2001-2003: M.Stat (Masters in Statistics), Indian Statistical Institute, Kolkata, India
2003-2008: PhD in Biostatistics, Department of Biostatistics, University of Alabama at Birmingham

Work Experience:

Jan 2020 – Present: Associate Professor, Division of Biostatistics, Department of Population Health Sciences, Weill Medical College, Cornell University, New York, NY
May 2023 – Present: Associate Professor of Biostatistics, Department of Psychiatry, Weill Medical College, Cornell University, New York, NY
Jan 2018 – Jan 2020: Associate Professor, Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Medical College, Cornell University, New York, NY
Jan 2018 – Present: Adjunct Associate Professor, Department of Statistics and Data Science, Cornell University, Ithaca, NY
Nov 2020 – Present: Director (Founding) of PhD Program in Population Health Sciences, Department of Population Health Sciences, Weill Medical College, Cornell University, New York, NY
2014 – Present: Special Government Employee, Center for Devices and Radiological Health (CDRH), Food and Drug Administration (FDA), Silver Springs, MD
2022 – 2024: Elected Council of Sections Representative for the Mental Health Statistics Section of American Statistical Association (ASA)

Past Positions:

2016 – 2020: Director (Founding) of MS Program in Biostatistics & Data Science, Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Medical College, Cornell University, New York, NY
May 2011 – Dec 2017: Assistant Professor, Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Medical College, Cornell University, New York, NY
May 2011 – Dec 2017: Adjunct Assistant Professor, Department of Statistical Science, Cornell University, Ithaca, NY
Aug 2008 – May 2011: Instructor, Division of Biostatistics and Epidemiology, Department of Public Health, Weill Medical College of Cornell University, New York, NY
Jun 2005 – Aug 2008: Graduate Research Assistant, Department of Biostatistics, University of Alabama, Birmingham (Supervisor: Dr. Nengjun Yi) – Developed Bayesian methods for detecting gene by gene and gene by environment interactions for QTLs in inbred mice.
Aug 2003 – Jun 2005: Graduate Research Assistant, Department of Biostatistics, University of Alabama at Birmingham (Supervisor: Dr. Varghese George) – Worked on Marginal Structural Models to investigate genetic effects in AIDS and developed Bayesian methods for QTL detection in Human Genetics.

Publication top Notes:

CITED:581

Rearrangements of the RAF kinase pathway in prostate cancer, gastric cancer and melanoma

CITED:556

Mechanism-based epigenetic chemosensitization therapy of diffuse large B-cell lymphoma

CITED:219

Epigenetic repression of miR-31 disrupts androgen receptor homeostasis and contributes to prostate cancer progression

CITED:195

Elevated prefrontal cortex GABA in patients with major depressive disorder after TMS treatment measured with proton magnetic resonance spectroscopy

CITED:156

R/qtlbim: QTL with Bayesian interval mapping in experimental crosses

CITED:153

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

Posted on 21/09/2024 by ScienceFather

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. Tao Tang | Sensor Module | Best Researcher Award

Posted on 24/08/2024 by ScienceFather

Prof. Tao Tang | Sensor Module | Best Researcher Award

Prof. Tao Tang, Southwest Minzu University, China

Dr. Tao Tang is a distinguished Professor at the College of Electronic Engineering, Chengdu University of Information Technology (CUIT), China. He earned his Bachelor’s degree from Leshan Normal University in 2005 and subsequently completed his Master’s and Ph.D. degrees at Southwest Jiaotong University between 2005 and 2011. With a profound expertise in antenna and wave propagation, computational electromagnetics, and electromagnetic compatibility, Dr. Tang has contributed significantly to these fields through both academic and practical endeavors.

Professional Profile:

Summary of Suitability for the Best Researcher Award:

Dr. Tao Tang is a highly accomplished researcher and professor in the field of antenna and wave propagation, computational electromagnetics, and electromagnetic compatibility. His extensive academic background, including a Ph.D. from Southwest Jiao tong University and postdoctoral fellowships at prestigious institutions, reflects a strong foundation in his areas of expertise.

Education

2001–2005: Bachelor of Science (B.S.) in [unspecified field], Leshan Normal University, Leshan, China.
2005–2011: Master and Ph.D. in [unspecified fields], Southwest Jiaotong University, Chengdu, China.

Professional Experience

2011–2013: Lecturer, College of Electronic Engineering, Chengdu University of Information Technology, Chengdu, China.
2014–2020: Associate Professor, College of Electronic Engineering, Chengdu University of Information Technology, Chengdu, China.
2015–2017: Postdoctoral Fellow, Institute of Applied Physics, University of Electronic Science and Technology of China, Chengdu, China.
2017–2020: Postdoctoral Fellow, School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China.
2019-2020: Visiting Scholar, Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada.
2019-Present: Head, Department of Electronic Information Science and Technology, Chengdu University of Information Technology, Chengdu, China.
2019-Present: Director, Pre-research Center, Sichuan SIP Electronic Technology Co., Ltd., Chengdu, China.
2021-Present: Professor, College of Electronic Engineering, Chengdu University of Information Technology, Chengdu, China.

Publication top Notes:

A Self-Packaging Comb Spectrum Generator Based on Substrate Integrated Suspension Line

Design of X-Band Circulator and Isolator for High-Peak-Power Applications

A Flexible Wearable Sensor Based on Laser-Induced Graphene for High-Precision Fine Motion Capture for Pilots

Enhancing the Directivity of Antennas Using Plasma Rings

Numerical Modeling of the Radio Wave Over-the-Horizon Propagation in the Troposphere

Frequency Reconfigurable Near-Zero Refractive Index Material for Antenna Gain Enhancement Applications

Dr. DAVIDE BRIVIO | Electronic Sensors | Best Researcher Award

Posted on 07/08/2024 by ScienceFather

Dr. DAVIDE BRIVIO | Electronic Sensors | Best Researcher Award

Dr. DAVIDE BRIVIO, BWH, United States

Dr. Davide Brivio is an accomplished physicist specializing in radiation oncology physics. Born in Carate Brianza (MB), Italy, he embarked on his academic journey at the Università degli Studi di Milano (University of Milan), where he earned his B.Sc. in Physics in 2006, followed by an M.Sc. in Physics in 2008 under the guidance of advisors Nicola Piovella and Robin Kaiser. He further advanced his expertise by obtaining a Ph.D. in Physics in 2012, mentored by Dr. Cialdi Simone. After completing his Ph.D., Dr. Brivio pursued postdoctoral training at Brigham and Women’s Hospital, Harvard Medical School, where he served as a Post-Doctoral Fellow in Radiation Oncology Physics from 2013 to 2019 under the supervision of Dr. Piotr Zygmanski. His dedication to the field led him to complete a Medical Physics Residency in Radiation Oncology Physics from 2019 to 2022, directed by Dr. Yulia Lyatskaya, with Dr. Zygmanski as his research advisor.

Professional Profile:

Summary of Suitability for Best Researcher Award

Davide Brivio has an extensive and impressive academic and professional background, which makes him a strong candidate for the Best Researcher Award at the Faculty of Medicine of Harvard University. Below are the key points that highlight his qualifications:

Education:

2006: B.Sc. Physics, Università degli Studi di Milano (University of Milan), Milan (MI), Italy
2008: M.Sc. Physics (Advisors: Nicola Piovella, Robin Kaiser), Università degli Studi di Milano (University of Milan), Milan (MI), Italy
2012: Ph.D. Physics (Advisor: Dr. Cialdi Simone), Università degli Studi di Milano (University of Milan), Milan (MI), Italy

Postdoctoral Training:

2013-2019: Post-Doctoral Fellow in Radiation Oncology Physics (Advisor: Dr. Piotr Zygmanski), Brigham and Women’s Hospital, Harvard Medical School
2019-2022: Medical Physics Resident in Radiation Oncology Physics (Director: Dr. Yulia Lyatskaya, Research Advisor: Dr. Piotr Zygmanski), Harvard Medical School, Boston, MA

Faculty Academic Appointments:

07/2022-present: Instructor in Radiation Oncology (Physics), Harvard Medical School

Appointments at Hospitals/Affiliated Institutions:

07/2022-present: Clinical Physicist in Radiation Oncology (Physics), Brigham and Women’s Hospital, Boston, MA

Major Administrative Leadership Positions:

2021-2022: Senior Resident, Medical Physics Residency (year-round), Harvard Medical School

Committee Service:

National:
- 2022-present: Invited Abstract Evaluation Committee for AAPM Annual Meeting, American Association of Physicists in Medicine
- 2023-present: Physics PhD Steering Committee, Università degli Studi di Milano, Italy (Milan University)
Local:
- 2024: MGB Technology Evaluation Committee, MGB
- 2024: Master Thesis Committee, UML

Professional Societies:

2015-present: Member, American Association of Physicists in Medicine
2015-present: Member, New England Chapter of the American Association of Physicists in Medicine
2019-2023: Member, Radiological Society of North America (RSNA)
2023-present: Member, American Brachytherapy Society (ABS)

Editorial Activities:

Ad hoc Reviewer for:
- Medical Physics
- Physics in Medicine and Biology
- International Journal of Radiation OncologyBiologyPhysics
- Physica Medica
- Radiation Research

Publication top Notes:

Remote sensing of high energy particle currents (HEC): towards HEC radiography

X-ray Induced Electric Currents in Anodized Ta2O5: Towards a Large-Area Thin-Film Sensor

Radioactive source localization employing resistive electrode array (REA) detector

Resistive electrode array (REA) for radiotherapy beam monitoring and quality assurance

Remote sensing array (RSA) for linac beam monitoring

Gold nanoparticle detection and quantification in therapeutic MV beams via pair production

Mr. Mohammad Abdolrazzaghi | Planar Sensors | Best Researcher Award

Posted on 13/07/2024 by ScienceFather

Mr. Mohammad Abdolrazzaghi | Planar Sensors | Best Researcher Award

Mr. Mohammad Abdolrazzaghi, University of Toronto, Canada

Mohammad Abdolrazzaghi is a distinguished Ph.D. candidate in the Department of Electrical and Computer Engineering at the University of Toronto, specializing in Electronics with a focus on integrated circuits and wireless power transfer for implantable devices. Born on February 20, 1991, he embarked on his academic journey with a B.Sc. in Electrical Engineering from Iran University of Science and Technology, where he explored split-ring resonator-based sensors. He furthered his expertise with an M.Sc. in Electromagnetics and Microwaves from the University of Alberta, during which he developed advanced planar microwave sensors. Since September 2020, Mohammad has been contributing significantly to research at the Meta-waves group and Intelligent Sensory Microsystems Laboratory at the University of Toronto. His work includes the development of phased-array systems for wireless power transmission and the design of compact antennas for biomedical applications. His notable industry experience includes leading electromagnetic research at Phased Advanced Sensors Corp., resulting in a provincial patent for oil quality monitoring sensors. Mohammad’s academic portfolio is highlighted by numerous publications in prestigious journals and conferences, reflecting his profound contributions to sensor technology and microwave engineering. His teaching experience at Humber College and the University of Toronto, where he has instructed courses on electronics and circuit analysis, underscores his commitment to education. Recognized with several awards, including the NSERC Postgraduate Scholarship and the John W. Senders Award, Mohammad’s research integrates cutting-edge technology with practical applications, significantly advancing the fields of wireless power transfer and microwave sensors.

Professional Profile:

📚 Education and Experience:

Mohammad Abdolrazzaghi is a dedicated Ph.D. candidate in Electronics at the University of Toronto, specializing in integrated circuits and wireless power transfer, particularly for implantable devices. He holds an M.Sc. in Electromagnetics and Microwaves from the University of Alberta, where he made significant strides in developing advanced planar microwave sensors. His academic journey began with a B.Sc. in Electrical Engineering from Iran University of Science and Technology, where he explored split-ring resonator-based sensors.

🔬 Research and Achievements:

With extensive research experience, Mohammad has been a research assistant at the Meta-waves group and Intelligent Sensory Microsystems Laboratory at the University of Toronto since 2020. His innovative work includes developing phased-array systems for wireless power transmission and designing compact antennas for biomedical applications. His leadership in electromagnetic research at Phased Advanced Sensors Corp. resulted in a provincial patent for oil quality monitoring sensors.

📄 Publications and Teaching:

Mohammad’s prolific contributions to sensor technology and microwave engineering are reflected in numerous papers published in prestigious journals and conferences. His teaching experience spans multiple institutions, including Humber College and the University of Toronto, where he has instructed and assisted in courses related to electronics and circuit analysis. His academic excellence is further highlighted by awards such as the NSERC Postgraduate Scholarship and the John W. Senders Award for mentoring an imaginative design.

🌟 Research, Innovations, and Extensions:

In the field of sensors, Mohammad’s research has significantly advanced the development and application of microwave planar sensors, focusing on material characterization, gas/liquid sensing, and active sensors. His innovative techniques for non-contact glucose monitoring, utilizing microwave resonator-based platforms, have enhanced sensitivity and reliability. By integrating machine learning, he has improved the selectivity and accuracy of chemical and biomedical analyses. His work in microwave sensors extends to wireless communication, demonstrating potential in high-resolution sensing for industrial monitoring and environmental applications.

Publication top Notes:

Fascicle-Selective Ultrasound-Powered Bidirectional Wireless Peripheral Nerve Interface IC

In–human testing of a non-invasive continuous low–energy microwave glucose sensor with advanced machine learning capabilities

AI-Assisted Ultra-High-Sensitivity/Resolution Active-Coupled CSRR-Based Sensor with Embedded Selectivity

Artificially-Intelligent Fascicle-Selective Bidirectional Peripheral Nerve Interfaces

Fascicle-Selective Bidirectional Peripheral Nerve Interface IC with 173dB FOM Noise-Shaping SAR ADCs and 1.38pJ/b Frequency-Multiplying Current-Ripple Radio Transmitter

Techniques to Improve the Performance of Planar Microwave Sensors: A Review and Recent Developments

Dr. Halimjon Khujamatov | Wireless Sensors | Best Researcher Award

Posted on 10/07/2024 by ScienceFather

Dr. Halimjon Khujamatov | Wireless Sensors | Best Researcher Award

Dr. Halimjon Khujamatov ,TUIT, Uzbekistan

Halimjon Khujamatov Ergashevich is a distinguished academic and professional in the field of information technologies, specializing in data communication networks and systems. Born on December 21, 1987, in Tashkent, Uzbekistan, he has steadily built an impressive career marked by notable achievements and contributions to his field.Dr. Khujamatov completed his Ph.D. at the Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, where he also earned his Master’s and Bachelor’s degrees in Optical Processing Systems of Communication and Information and Telecommunication Engineering, respectively. His academic journey has been complemented by his extensive career at the same institution, where he has served in various capacities, including Dean of the Faculty of Computer Engineering, Head of the Data Communication Networks and Systems Department, and currently as an Associate Professor.In addition to his academic roles, Dr. Khujamatov has engaged in numerous professional training programs and international collaborations. He has completed specialized training courses in 5G O&M and WDM/OTN Product Operation and Maintenance in China and participated in the ICT Core Personnel Development program by the Japan International Cooperation Agency (JICA) in Okinawa, Japan. His active involvement in international research projects and professional meetings in countries such as India, Israel, Italy, Latvia, and Lithuania highlights his commitment to advancing knowledge and fostering global academic partnerships.

Professional Profile:

Academic Background 🎓

2018 – 2019: Ph.D. Student, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi
2010 – 2012: Master’s Degree, Tashkent University of Information Technologies, Major: Optical Processing Systems of Communication and Information
2005 – 2009: Bachelor’s Degree, Tashkent University of Information Technologies, Major: Telecommunication Engineer

Career Experience 💼

2023 – Present: Associate Professor, “Data Communication Networks and Systems” Department, Tashkent University of Information Technologies (TUIT)
2022 – 2023: Dean, Faculty of Computer Engineering, TUIT
2019 – 2022: Head, “Data Communication Networks and Systems” Department, TUIT
2019 – 2019: Associate Professor, “Hardware and Software of Management Systems in Telecommunication” Department, TUIT
2017 – 2018: Assistant Lecturer, TUIT
2013 – 2017: Deputy Dean, Faculty of Telecommunication Technologies, TUIT

Professional Training 📚

December 2019: Certificate in “Level A of 5G O&M Course & WDM/OTN Product Operation and Maintenance” by ZTE University, Shenzhen, China
January 13 – June 4, 2021: Knowledge Co-Creation Program for “ICT Core Personnel Development (B) CIO Assistant” by Japan International Cooperation Agency (JICA), Okinawa, Japan

Professional Associations 🏛️

2019 – 2022: Scientific Secretary, Scientific Council Awarding Scientific Degrees, TUIT
2022 – Present: Member, Scientific Seminar on “Telecommunication and Computer Systems, Telecommunication Networks and Devices” under Scientific Council Awarding Scientific Degrees, TUIT
2019 – Present: Member, Scientific Seminar on “Radio Engineering, Radio Navigation, Radar and Television Systems and Devices. Mobile, Fiber-Optic Communication Systems” under Scientific Council Awarding Scientific Degrees, TUIT

Publication top Notes:

Algorithm for Provision of Distributed Cloud Data Center Resources Based on Central Management System

Development of Remote Patient Monitoring System Model Based on IOMT

Cross-Platform Real-Time Environment Monitoring System Based on Personal Area Networks (PAN)

Research of the application of blockchain and smart contract technologies in spectrum management and trading in cognitive radio networks

Modeling and research of the operation of cognitive radio networks

Internet of Things-Aided Intelligent Transport Systems in Smart Cities: Challenges, Opportunities, and Future

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

Posted on 09/07/2024 by ScienceFather

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