Dr. Yue Wang | Sensor development Award | Best Researcher Award

Posted on by ScienceFather

Dr. Yue Wang | Sensor development Award | Best Researcher Award 

Dr. Yue Wang, University of Science and Technology Liaoning, China

Dr. Yue Wang is an Associate Professor at the School of Chemical Engineering at the University of Science and Technology Liaoning in China. He earned his Bachelor’s degree from the University of Science and Technology Anshan and both his Master’s and Doctorate degrees from the University of Science and Technology Liaoning and Saitama Institute of Technology, Japan, respectively. Since joining the University of Science and Technology Liaoning in 2006, Dr. Wang has focused his research on sensors and biosensors, biofuel cells, supercapacitors, energy harvesting, and artificial muscles. His work has resulted in over 60 published scientific papers, garnering approximately 600 citations, reflecting his significant contributions to the field. Dr. Wang has secured multiple research grants from various institutions, including the Education Department of Liaoning Province and the Natural Science Foundation of Liaoning Province, to advance his projects on conductive sensors, pesticide sensors, electrochemical biosensors, and wearable smart sensing technologies. Additionally, he completed a visiting scholarship at the University of Texas at Dallas in 2019-2020, further enhancing his academic and research expertise.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Yue Wang

Yue Wang is an exemplary candidate for the Best Researcher Award, primarily due to his substantial academic qualifications, extensive research contributions, and impactful work in the field of Material Science, specifically within sensor and biosensor technologies.

Education

  • Bachelor’s Degree in Material Science
    University of Science and Technology Anshan, China
    September 1998 – July 2002
  • Master’s Degree in Material Science
    University of Science and Technology Liaoning, China
    September 2003 – March 2006
  • Ph.D. in Material Science
    Saitama Institute of Technology, Japan
    April 2008 – March 2011

Work Experience

  • Associate Professor
    University of Science and Technology Liaoning, China
    April 2006 – Present
  • Visiting Scholar
    University of Texas at Dallas
    April 2019 – March 2020

Publication top Notes:

A carbon black–doped chalcopyrite–based electrochemical sensor for determination of hydrogen peroxide

Glucose oxidase, horseradish peroxidase and phenothiazine dyes-co-adsorbed carbon felt-based amperometric flow-biosensor for glucose

Crab gill–derived nanorod-like carbons as bifunctional electrochemical sensors for detection of hydrogen peroxide and glucose

Cellulose-derived hierarchical porous carbon based electrochemical sensor for simultaneous detection of catechol and hydroquinone

A triphenylamine based fluorescent probe for Zn2+ detection and its applicability in live cell imaging

1,8-naphthalimide-triphenylamine-based red-emitting fluorescence probes for the detection of hydrazine in real water samples and applications in bioimaging in vivo

Mr. Muhammad Zunnurain Hussain | Wireless Sensors Award | Best Researcher Award

Posted on by ScienceFather

Mr. Muhammad Zunnurain Hussain | Wireless Sensors Award | Best Researcher Award 

Mr. Muhammad Zunnurain Hussain, Bahria University Lahore Campus, Pakistan

Muhammad Zunnurain Hussain, based in Lahore District, Punjab, Pakistan, is a distinguished Network & Security specialist with extensive experience spanning advisory, client development, management, and technology consulting. He holds a Doctor of Philosophy in IoT Security from Universiti Putra Malaysia, where his research focused on Cyber Security, Information Security, Data Encryption and Security, Wireless Networks, Data Communication & Networks, Digital Logic Design, and Machine Learning, achieving a commendable CGPA of 3.667. Prior to this, he completed his Master of Sciences in Computer Networking from the University of Bedfordshire, United Kingdom, and a Bachelor of Science in Telecommunication Engineering from the University of Management & Technology, Lahore, Pakistan. Currently serving as an Assistant Professor at Bahria University Lahore Campus, Muhammad oversees various computer science courses and actively contributes to curriculum development and project supervision. He also holds leadership roles as Cluster Head for ADP CS and FYP Coordinator at Bahria University, Lahore, and serves as Director at RGP Global IT, Chief Technology Officer at RedEX Gaming Studio, and as Visiting Faculty at Information Technology University and Ripah International University Lahore.

Professional Profile:

GOOGLE SCHOLAR

 

📚 Education:
  • Ph.D. in IoT Security, Universiti Putra Malaysia (2020-2024)
  • M.Sc. in Computer Networking, University of Bedfordshire, United Kingdom (2012-2014)
  • B.Sc. in Telecommunication Engineering, University of Management & Technology, Lahore, Pakistan (2006-2011)

🔬 Research Experience:

Extensive background in Cyber Security, Information Security, Data Encryption and Security, Wireless Networks, Data Communication & Networks, Digital Logic Design, and Machine Learning.

🎓 Teaching Experience:

Assistant Professor at Bahria University Lahore Campus (Jul 2019 – Present), delivering lectures on various computer science courses, supervising final year projects, and leading curriculum revision committees.

💼 Professional Experience:

  • Cluster Head – ADP CS & FYP Coordinator, Bahria University Lahore Campus (May 2023 – Present)
  • Director, RGP Global IT (Jul 2023 – Present)
  • Chief Technology Officer, RedEX Gaming Studio (Sep 2023 – Present)
  • Visiting Faculty, Information Technology University (Aug 2022 – Present)
  • Visiting Faculty Member, Ripah International University Lahore (Jan 2019 – Present)

🏆 Awards, Honors, and Grants:

  • Best Paper Award, ACM Singapore (Jul 2021)
  • Second Position, HSSC Final Exam, Garrison Science Degree College for Boys (Jul 2005)

👨‍🏫 Leadership Positions:

  • Cluster Head – ADP CS, Bahria University Lahore Campus
  • Coordinator for FYP-BSIT Programme, Bahria University Lahore Campus
  • Branch Counsellor for Google Developer Student Club

👥 Professional Memberships:

  • Senior Member, IEEE (since 2010)
  • Professional ACM membership (since 2010)
  • Student Member, ICST, British Computer Society, IAENG, IET (since 2010)

Publication top Notes:

Ultrasonically derived WSe2 nanostructure embedded MXene hybrid composites for supercapacitors and hydrogen evolution reactions

CITED: 47

NIR self-powered photodetection and gate tunable rectification behavior in 2D GeSe/MoSe2 heterojunction diode

CITED: 46

Asymmetric electrode incorporated 2D GeSe for self-biased and efficient photodetection

CITED: 42

Efficient cloud data confidentiality for DaaS

CITED: 37

Thickness-dependent monochalcogenide GeSe-based CBRAM for memory and artificial electronic synapses

CITED: 30

 

Prof. Chavis Srichan | Surface sensors | Best Researcher Award

Posted on by ScienceFather

Prof. Chavis Srichan | Surface sensors | Best Researcher Award

Prof. Chavis Srichan ,Faculty of Engineering, Khon Kaen University ,Thailand

Dr. Chavis Srichan has a diverse academic and professional background in computer engineering and microelectronics. He received his Bachelor’s degree with First Class Honors and as a Gold Medalist from Khon Kaen University in 2002. His pursuit of advanced studies took him to Technische Universitat Hamburg, Germany, where he earned his Master’s degree in Microelectronics and Microsystems with distinction in 2006. Following this, he completed his Doctor of Engineering in Microelectronics and Embedded Systems at the Asian Institute of Technology in 2018.Dr. Srichan’s career has been marked by significant contributions to research and academia. He has held various positions, including software developer roles at MRI Laboratory, Khon Kaen University, and SIEMENS AG Munich, Germany. His research interests span printed electronics, nanoelectronics, MEMS, and embedded systems, focusing on applications such as smart home care systems and sensor development for medical diagnostics. He currently serves as a Lecturer in Computer Engineering at Khon Kaen University, where he contributes to the education of future engineers and researchers. Dr. Srichan’s work has been recognized with honors such as the Lucent Technology Scholarship, DAAD-SIEMENS scholarship, and grants from institutions like the US National Institute of Health (NIH) and Japan NICT through the ASEAN IVO Project for sensor development.

Professional Profile:

Education/Training:
  • Bachelor’s Degree (First Class Honors, Gold Medalist)
    • Institution: Khon Kaen University, Khon Kaen, Thailand
    • Completion Date: 06/2002
    • Field of Study: Computer Engineering
  • Master of Science (with Distinction)
    • Institution: Technische Universitat Hamburg, Germany
    • Completion Date: 06/2006
    • Field of Study: Microelectronics and Microsystems
  • Doctor of Engineering
    • Institution: Asian Institute of Technology
    • Completion Date: 08/2018
    • Field of Study: Microelectronics and Embedded Systems

Positions and Honors:

  • Current Position:
    • Lecturer, Computer Engineering, Khon Kaen University (since 2010)

 Experience and Training:

  • 2001: Software Developer, MRI Laboratory, Khon Kaen University, Thailand
  • 2002-2003: Teaching Assistant, Faculty of Engineering, Khon Kaen University
  • 2004: Software Developer, Taboo Search Heuristic Job Scheduling
  • 2005: Software Developer, Corporate Technology Production, SIEMENS AG Munich, Germany
  • 2008-2010: Researcher, Printed Electronics Project, Nanoelectronics and MEMS Lab, National Electronic and Computer Technology Center, Thailand

Computer Skills:

  • Python, Java, Visual C++, Labview, ANSYS, Matlab, Cadence, OpenGL, OpenCV, Tensorflow

Honors:

  • 2001-2002: Lucent Technology Scholarship
  • 2002: National Software Competition, National Electronic and Computer Technology Center, Thailand (Second Place: Facial Recognition System Using Multi-resolution Analysis and Artificial Neural Network)
  • 2004-2005: DAAD-SIEMENS Scholarship
  • 2019-2020: US National Institute of Health (NIH) Grant for Smart Home Care Connected Sensors and Mobile Application for Peritoneal Dialysis Patients
  • 2022-2024: Japan NICT funding through ASEAN IVO Project “Photonic and Electrochemical Sensors Development for Early CCA Detection”

Publication top Notes:

 

Highly-sensitive surface-enhanced Raman spectroscopy (SERS)-based chemical sensor using 3D graphene foam decorated with silver nanoparticles as SERS substrate

CITED : 108

Inkjet printing PEDOT: PSS using desktop inkjet printer

CITED : 57

Non-invasively accuracy enhanced blood glucose sensor using shallow dense neural networks with NIR monitoring and medical features

CITED : 26

Ultra-sensitive and label-free neutrophil gelatinase-associated lipocalin electrochemical sensor using gold nanoparticles decorated 3D Graphene foam towards acute kidney injury …

CITED : 21

Simple RC low pass filter circuit fabricated by unmodified desktop inkjet printer

CITED : 21

 

Smart Sensors and Sensor Fusion

Posted on by ScienceFather

Introduction of Smart Sensors and Sensor Fusion

In the era of intelligent technology, Smart Sensors and Sensor Fusion research illuminate the path toward unprecedented data accuracy and contextual awareness. Smart sensors, embedded with microprocessors and communication capabilities, are at the forefront of capturing real-time data.

IoT-enabled Smart Sensors:

IoT-enabled smart sensors are instrumental in creating interconnected systems. These sensors, equipped with wireless connectivity, enable seamless data transmission to centralized hubs, forming the backbone of smart homes, industrial IoT, and intelligent agriculture. Research in this area focuses on enhancing energy efficiency, data security, and interoperability in diverse IoT applications.

Sensor Fusion for Autonomous Systems:

Sensor fusion techniques combine data from various sensors, such as cameras, LiDAR, and radar, to enable perception in autonomous vehicles and robots. Researchers explore algorithms that integrate this multi-modal data, enhancing object detection, localization, and decision-making. This subfield plays a pivotal role in the evolution of self-driving cars, drones, and robotic systems.

Health Monitoring with Smart Sensors:

Smart sensors in healthcare monitor vital signs, detect anomalies, and enhance patient care. These sensors, often wearable, provide continuous health data for real-time analysis. Research focuses on improving accuracy and reliability, ensuring these sensors are capable of early disease detection, personalized treatment monitoring, and empowering individuals to take charge of their health.

Environmental Sensing and Pollution Control:

Smart sensors are deployed in environmental monitoring networks to track air quality, water pollution, and other ecological factors. Sensor fusion techniques amalgamate data from diverse sources, aiding in pollution control and resource management. This research area is crucial for creating sustainable urban environments, managing natural resources, and mitigating the impact of climate change.

Human-Computer Interaction through Smart Sensors:

Smart sensors revolutionize human-computer interaction by enabling gesture recognition, facial expression analysis, and touch sensitivity. Researchers explore sensor fusion algorithms that interpret these inputs, enhancing user experiences in virtual reality, gaming, and smart devices. This subtopic drives innovations in immersive technologies, making human-machine interactions more intuitive and engaging.