Prof. Jih Ru Hwu | Novel Sensors | Excellence in Innovation Award

Prof. Jih Ru Hwu | Novel Sensors | Excellence in Innovation Award 

Prof. Jih Ru Hwu, National Tsing Hua Univeristy, Taiwan

Professor Reuben Jih-Ru Hwu is a Distinguished Chair Professor Emeritus with Lifetime Honor at National Tsing Hua University, Taiwan. He earned his Ph.D. from Stanford University in 1982 and served as a faculty member at The Johns Hopkins University from 1982 to 1991. An internationally recognized chemist, Professor Hwu’s research encompasses drug design and synthesis, DNA-cleaving agents, nano-biomaterials, natural product synthesis, organosilicon chemistry, novel reactions and reagents, and green chemistry. He has published over 253 peer-reviewed articles and holds more than 52 patents. Throughout his distinguished career, he has received numerous accolades, including the 2023 Outstanding Achievement Award from the Chinese American Chemical Society, the World Academy of Sciences Award (1997), and Taiwan’s National Chair Professorship. He is a Fellow of several esteemed organizations, including The World Academy of Sciences, IUPAC, The Royal Society of Chemistry, and the European Academy of Sciences and Arts. His leadership roles include presidencies at the Chinese American Chemical Society, Asian Federation for Medicinal Chemistry, and Federation of Asian Chemical Societies, reflecting his global impact on the chemical sciences community.

Professional Profile:

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Summary of Suitability – Excellence in Innovation Award

Nominee: Professor Reuben Jih-Ru Hwu

Professor Reuben Jih-Ru Hwu, Distinguished Chair Professor Emeritus at National Tsing Hua University, Taiwan, is a globally renowned chemist whose career spans over four decades of groundbreaking innovation across drug design, nano-biomaterials, DNA-cleaving agents, organosilicon chemistry, and green chemistry. A Ph.D. graduate from Stanford University and former faculty member at The Johns Hopkins University, Professor Hwu has authored over 253 scientific articles and 52 patents, reflecting his prolific contributions to science and innovation.

🎓 Education

  • Ph.D. in ChemistryStanford University, USA (1982) 🇺🇸

💼 Work Experience

  • 🧪 Faculty MemberThe Johns Hopkins University, USA (1982–1991)

  • 👨‍🏫 ProfessorNational Tsing Hua University, Taiwan

  • 🏅 Distinguished Chair Professor Emeritus with Lifetime HonorNational Tsing Hua University, Taiwan

🧬 Research & Achievements

  • 📚 Published >253 peer-reviewed articles

  • 🧾 Holds >52 patents

  • 🧪 Expertise in:

    • Drug design and synthesis 💊

    • DNA-cleaving agents 🧬

    • Nano-biomaterials ⚛️

    • Natural product synthesis 🌿

    • Organosilicon chemistry 🧫

    • Novel reactions and reagents ⚗️

    • Sustainability and green chemistry 🌱

🏆 Awards & Honors

  • 🥇 2023 Outstanding Achievement AwardChinese American Chemical Society

  • 🏆 Trophy of Gulf Chemistry Association (2022)

  • 🧪 CAS Registry Innovator® (2022)

  • 👨‍🏫 Excellent Senior Teacher with 30 Years of Service (2020)

  • 👑 Taiwan National Chair Professorship

  • 🌍 The World Academy of Sciences Award (1997)

  • 🌟 JCI Ten Outstanding Young Persons of the World (1994)

  • 🧑‍🔬 FACS Distinguished Young Chemist Award (1992–93)

  • 🎓 Alfred P. Sloan Research Fellow (1986–1990)

  • 💊 Stuart Pharmaceuticals Achievement Award, USA (1986)

  • 🇯🇵 Japan Ming-Yu-Wen-Hwa Award (1976)

🌐 Fellowships & Memberships

  • 🌎 Fellow, The World Academy of Sciences (1999–)

  • 🔬 Fellow, IUPAC (2000–)

  • 👑 Fellow, Royal Society of Chemistry (FRSC) (2005–)

  • 🌏 Fellow, Asian Federation for Medicinal Chemistry (2013–)

  • 🇪🇺 Member, European Academy of Sciences and Arts (2019–)

  • 🧪 Fellow, Federation of Asian Chemical Societies (2025–)

🌟 Leadership Roles

  • 🇺🇸 President, Chinese American Chemical Society (1991–93)

  • 🌐 President, Asian Federation for Medicinal Chemistry (2012–13)

  • 🌏 President, Federation of Asian Chemical Societies (2019–23)

Publication Top Notes:

Calcium Impregnated Silica Gel in the Domino Reaction Involving Irreversible Aldol Addition, Dehydration, and Michael Addition

6-Chlorocoumarin Conjugates with Nucleobases and Nucleosides as Potent Anti-Hepatitis C Virus Agents

Biochemical Nanotubes Containing Heterocycles as Artificial Strands for Pseudo Duplex and Triplex DNA Formation

β-d-Ribofuranose as a Core with a Phosphodiester Moiety as the Enzyme Recognition Site for Codrug Development

Sustainable Domino C−N/C−C Bond Formation with Outstanding E Factors and High Volume Productivity

Generation of Quaternary Carbons in Cycloalkanones and Lactones with Arynes through a Domino Process

 

Assoc. Prof. Dr. Monica Bhutani | Wireless Sensors Awards | Best Researcher Award

Assoc. Prof. Dr. Monica Bhutani | Wireless Sensors Awards | Best Researcher Award 

Assoc. Prof. Dr. Monica Bhutani, Bharati Vidyapeeth College of Engineering, New Delhi, India

Dr. Monica Bhutani is an accomplished academic and researcher in the field of Electronics and Communication Engineering, currently serving as an Associate Professor at Bharati Vidyapeeth’s College of Engineering (BVCOE), New Delhi. With a Ph.D. from IIT Delhi focused on MAC layer issues in Optical Wireless Communication, she brings over 18 years of teaching and research experience. Dr. Bhutani has held postdoctoral and research associate positions at Lincoln University College, Malaysia, and has actively contributed to cutting-edge projects on Li-Fi and 5G testbeds at IIT Delhi. Her research interests span Optical Wireless Communications, IEEE standards, Zigbee, Wireless Sensors, and IoT. She holds national and international patents, including innovations in student behavior monitoring and dairy automation. As Editor-in-Chief of Scienxt Journal of Electrical & Electronics Communication, and an editorial board member of Wireless and Communication Letters (Bentham Science), she is a recognized thought leader in her field. Additionally, she heads the IEEE BVCOE chapter and plays a vital role in IEEE’s student and professional development activities.

Professional Profile:

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Summary of Suitability: Dr. Monica Bhutani – Research for Best Researcher Award

Dr. Monica Bhutani stands out as a distinguished researcher and academician with a strong background in optical wireless communication, Li-Fi, wireless sensor networks, and IoT integration, underpinned by her Ph.D. from IIT Delhi. Her research on MAC layer issues in optical wireless communication is both timely and technologically critical. She has demonstrated a consistent trajectory of excellence through her 18+ years of teaching, editorial roles, IEEE leadership, and impactful industry-linked research projects at IIT Delhi. Dr. Bhutani has also been granted national and international patents, reflecting her ability to innovate with practical, real-world applications. Her work bridges academia, research, and applied technology, making her a highly deserving candidate for the Best Researcher Award.

🎓 Education

  • 🧠 Ph.D. in Electronics and Communication from IIT Delhi (2018–2023)
    Research Focus: MAC Layer Issues in Optical Wireless Communication

  • 📘 M.E. in Electronics and Communication Engineering – NITTTR, Chandigarh (Punjab University), 2006–2008

  • 📗 B.E. in Electronics and Communication Engineering – M.D. University, Haryana, 2001–2005

💼 Work Experience

  • 👩‍🏫 Associate Professor, Dept. of ECE, Bharati Vidyapeeth’s College of Engineering (BVCOE), New Delhi (2024–Present)

  • 📚 Assistant Professor, BVCOE, New Delhi (2010–2024)

  • 📘 Assistant Professor, PDM College of Engineering, Haryana (2008–2009)

  • 🏫 Lecturer, Vaish College of Engineering, Haryana (2005–2006)

  • 🌐 Postdoctoral Researcher & Research Associate, Lincoln University College, Malaysia

  • 👩‍🔬 Project Staff, IIT Delhi on Visible Light Communication & 5G Test Bed Projects

🏆 Achievements & Honors

  • 📖 Editor-in-Chief, Scienxt Journal of Electrical & Electronics Communication

  • 📝 Editorial Board Member, Wireless and Communication Letters (Bentham Science)

  • 🌟 Head of IEEE BVCOE (Delhi Section R10)

  • 💡 2 Patents Granted:

    • 🇮🇳 Student Behavior Monitoring Device – India, Jan 2024

    • 🇬🇧 Automated Dairy Cow Health Monitoring and Milking Machine – UK, Aug 2024

  • 📈 Google Scholar: 94 Citations, h-index: 7, i10-index: 3

Publication Top Notes:

IDT-Cascade: a novel information dissemination tree model for influential cascade detection in online social networks

Leveraging Machine Learning for Real-Time Loyalty Program Optimization

A Comprehensive Review on Advancements and Challenges in Fake News Detection

Artificial Intelligence and Machine Learning in Space Cyber Defense

Revolutionizing Supply Chain Management With AI and Green Computing

Cloud-connected central unit for traffic control: interfacing sensing units and centralized control for efficient traffic management

Design of Low Power and Energy Efficient Write Driver with Bitline Leakage Compensation for SRAM

Novel memristor-CMOS based domino self-resetting half-adder design for fast and low-power biomedical applications

Prof. Dr. Lorena Barona López | Sensors | Best Researcher Award

Prof. Dr. Lorena Barona López | Sensors | Best Researcher Award 

Prof. Dr. Lorena Barona López, EPN, Ecuador 

Lorena Isabel Barona López is a researcher and professor specializing in computer science and telecommunications, currently affiliated with the Escuela Politécnica Nacional in Quito, Ecuador. She holds a Ph.D. in Computer Science from the Universidad Complutense de Madrid, Spain, where she developed a situational awareness model for 5G mobile networks within the SELFNET architecture. Her academic background also includes a Master’s in Telematic Services and Networking Engineering from Universidad Politécnica de Madrid and a Bachelor’s degree in Electronic and Information Network Engineering from Escuela Politécnica Nacional. Dr. Barona’s research interests encompass 5G networks, software-defined networking (SDN), virtualization, and data analysis. She is an accredited Level 1 researcher by the Ecuadorian Secretariat for Higher Education, Science, and Technology and a member of various international research networks, including Ciencia Digital and Indra Digital Lab. With extensive teaching experience at both national and international universities, she has lectured in areas such as cybersecurity, network security, embedded systems, and system architecture. Dr. Barona also serves as the Executive Editor of the Ciencia Digital journal and has professional experience in systems administration and IT support. She is proficient in both Spanish and English and actively pursues professional development in artificial intelligence, machine learning, programming, and digital pedagogy.

Professional Profile:

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Summary of Suitability for Best Researcher Award

Dr. Lorena Isabel Barona López is a distinguished academic and researcher in the fields of Computer Science, 5G networks, Data Analysis, Software-Defined Networks (SDN), and Virtualization. Her extensive research background, innovative contributions to next-generation networking technologies, and commitment to both education and scientific advancement make her an exceptionally qualified candidate for the Best Researcher Award.

👩‍🎓 Education

  • 🎓 Ph.D. in Computer Science
    Universidad Complutense de Madrid, Spain
    (Nov 2013 – Sep 2017)
    📘 Thesis: Modelo de Conciencia Situacional para el Análisis de Datos en Redes Móviles 5G
    🔍 Research Areas: 5G, Data Analysis, SDN, Virtualization

  • 🎓 Master’s in Telematic Services & Networking Engineering
    Universidad Politécnica de Madrid, Spain
    (Sep 2012 – Jul 2013)
    📘 Thesis: Propuesta de Escenarios Virtuales con la Herramienta VNX para Pruebas del Protocolo OpenFlow
    🔍 Focus: OpenFlow, Networks, SDN, Virtualization

  • 🎓 Bachelor’s in Electronic and Information Network Engineering
    Escuela Politécnica Nacional, Ecuador
    (Oct 2004 – Oct 2010)
    📘 Project: IP-based Surveillance System for Condominiums in Ambato
    🔍 Focus: IP, Networks

💼 Work & Teaching Experience

  • 🧠 Researcher, GASS Group
    Universidad Complutense de Madrid
    (Nov 2013 – Jul 2017)
    🧪 Focus on cybersecurity, 5G, and data analysis.

  • 📝 Executive Editor, Ciencia Digital Journal
    (Sep 2017 – Present)

  • 👩‍🏫 Teaching Roles (2011–2025):
    Courses in:

    • Communication Systems, Embedded Systems, Cybersecurity 🔐

    • Network Security, Software Engineering 💻

    • Extended Databases, Operating Systems 🖥️

    • MOOCs and online teaching platforms 🎓

    📍 Institutions:

    • Escuela Politécnica Nacional

    • Universidad Internacional de la Rioja (Spain)

    • Universidad Técnica de Ambato

    • Universidad Metropolitana

    • Universidad de las Américas

  • 🖥️ System Administrator, COMDECSA
    (May 2011 – Sep 2012)

  • 🧪 Lab Assistant, Escuela Politécnica Nacional
    (Sep 2009 – Aug 2010)

🏅 Achievements, Accreditations, and Honors

  • 🥇 Aggregated Researcher Level 1, Ecuador’s Secretaría de Educación Superior, Ciencia y Tecnología (2018)

  • 🌐 Member of:

    • Ciencia Digital Network (2019)

    • International Network Indra Digital Lab, Spain

  • 📜 Extensive professional certifications in:

    • AI & Machine Learning 🤖

    • ICT in Education 💡

    • Cloud Dashboards ☁️

    • Programming (Python 🐍, Java ☕, R 📊)

    • Educational tools and Moodle platforms 🎓

  • 🎖️ Expert in Pedagogical Innovation: flipped classrooms, digital teaching tools, and virtual course design.

Publication Top Notes:

A Systematic Literature Review of Machine Unlearning Techniques in Neural Networks

Heterogeneity Challenges of Federated Learning for Future Wireless Communication Networks

A comparison of EMG-based hand gesture recognition systems based on supervised and reinforcement learning

Recognition of Hand Gestures Based on EMG Signals with Deep and Double-Deep Q-Networks

Hand Gesture and Arm Movement Recognition for Multimodal Control of a 3-DOF Helicopter

Hand Gesture Recognition Using EMG-IMU Signals and Deep Q-Networks

A Hand Gesture Recognition System Using EMG and Reinforcement Learning: A Q-Learning Approach

Prof. Yuxin Zhao | Gas Sensors | Best Researcher Award

Prof. Yuxin Zhao | Gas Sensors | Best Researcher Award

Prof. Yuxin Zhao, CNPC Tubular Goods Research Institute, China

Prof. Yuxin Zhao is a leading expert in smart sensor technology and nanoscience, currently serving as a Professor and Principal Investigator at the CNPC Tubular Goods Research Institute (TGRI) in Xi’an, China. He previously held professorial and research positions at Xi’an Jiaotong University and Sinopec RISE, where he spearheaded groundbreaking work in smart gas sensors and nanoscale material synthesis. Prof. Zhao earned his Ph.D. in Chemical Engineering and a B.Sc. in Material Chemistry from China University of Petroleum (East), and was a visiting research fellow in micro-manufacturing at Griffith University, Australia. His research interests include smart gas sensors, on-chip directed self-assembly, in-situ probe scanning, light-thermal management, and nanomaterial synthesis. Recognized nationally for his innovation, Prof. Zhao has received numerous prestigious awards, including the China Invention Patent Award and the Young Scientist Award from the China Instrument and Control Society. His work continues to advance the frontiers of sensor technology and applied nanoscience.

Professional Profile:

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Summary of Suitability for Best Researcher Award

Prof. Yuxin Zhao stands out as an exceptional and forward-thinking researcher with groundbreaking contributions in smart sensor technology, nanomaterials, and chemical engineering. With a career spanning academia, industrial innovation, and international collaboration, his work continues to shape the future of sensor systems, nanofabrication, and energy-related technologies, making him an outstanding candidate for the Best Researcher Award.

🎓 Education

  • 📘 Ph.D. in Chemical Engineering
    China University of Petroleum (East), Qingdao, China
    Sept 2009 – Dec 2014

  • 🧪 B.Sc. in Material Chemistry
    China University of Petroleum (East), Qingdao, China
    Sept 2005 – June 2009

💼 Work Experience

  • 👨‍🏫 Professor in Smart Sensor
    China National Petroleum Corporation (CNPC), Xi’an, China
    Aug 2023 – Present
    🔬 Role: Principal Investigator

  • 👨‍🔬 Professor in Nanoscience
    Xi’an Jiaotong University, Xi’an, China
    Feb 2019 – June 2023
    🔬 Role: Principal Investigator

  • 🧑‍🏭 Scientist in Smart Gas Sensor
    SINOPEC RISE, Qingdao, China
    Jan 2015 – July 2019
    ⚙️ Role: Senior Engineer

  • 🌏 Visiting Scholar in Micro-Manufacturing
    Griffith University, Australia
    Oct 2012 – May 2014
    🔬 Role: Research Fellow

🏆 Awards & Honors

  • 🧑‍🔬 Young Scientist Award, China Instrument and Control Society (2023)

  • 🥈 Second Prize, Shandong Provincial Invention Patent Award (2022)

  • 💡 China Invention Patent Award (2022)

  • 🔍 SINOPEC Prospective Research Award (2019)

  • 🎓 Young Talent Scholarship, Xi’an Jiaotong University (2018)

  • 🚀 Science and Technology Progress Award (2016)

  • 📖 Provincial Excellent Doctoral Dissertation (2016)

  • 🌍 CSC Scholarship, Chinese Scholarship Council (2012)

Publication Top Notes:

Advances in Early Warning of Thermal Runaway in Lithium‐Ion Battery Energy Storage Systems

CCUS: A Panacea or a Placebo in the fight against climate change?

Colorful Ultralong Room Temperature Phosphorescent Afterglow with Excitation Wavelength Dependence Based on Boric Acid Matrix

Toward highly sensitive, selective, and stable palladium‐based MEMS gas sensors for hydrogen energy security

The bottleneck and innovation key of MEMS-based metal oxide semiconductors gas sensor for petrochemical industry

Challenges and Opportunities of Chemiresistors Based on Microelectromechanical Systems for Chemical Olfaction

Schottky Contacts Regularized Linear Regression for Signal Inconsistency Circumvent in Resistive Gas Micro‐Nanosensors

Engineering a Copper@Polypyrrole Nanowire Network in the Near Field for Plasmon-Enhanced Solar Evaporation

Assoc. Prof. Dr Ali Hassan Sodhro | Intelligent Sensors Award | Best Researcher Award

Assoc. Prof. Dr Ali Hassan Sodhro | Intelligent Sensors Award | Best Researcher Award 

Assoc. Prof. Dr Ali Hassan Sodhro, Kristianstad University, SE-29188 Kristianstad, Sweden, Sweden

Ali Hassan Sodhro is an accomplished researcher with dual Swedish and Pakistani nationality, specializing in energy-efficient and battery-friendly algorithms for wireless body sensor networks, wireless sensor networks, physical layer authentication in IoT-5G, wearable devices, and smart healthcare applications. Currently a Senior Lecturer at Kristianstad University in Sweden, Ali has also served as a Postdoctoral Research Fellow in institutions across Sweden, France, and China, including Luleå University of Technology, Linköping University, and the University Lumiere Lyon 2. His research extends to cybersecurity, network security, cryptography, and domains such as AI, machine learning, and big data analytics. Holding a Ph.D. from the University of Chinese Academy of Sciences (UCAS), Ali has supervised numerous bachelor’s and master’s theses and co-supervised Ph.D. students, contributing substantially to both academic research and grant proposals. His teaching experience spans Swedish institutions like Mid Sweden University and Gothenburg University, alongside earlier academic roles at Sukkur IBA University in Pakistan. Ali is actively involved in conferences, workshop organization, and launching special journal issues, with his work published across multiple prestigious platforms.

Professional Profile:

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Summary of Suitability for Best Researcher Award:

Ali Hassan Sodhro is a distinguished researcher with significant contributions to the fields of energy-efficient algorithms for wireless sensor networks, smart healthcare applications, and IoT-driven technologies, particularly within the domain of body sensor networks and wearable devices. With a strong interdisciplinary focus that spans AI, IoT, and cloud computing, his work aligns with many of the emerging challenges in technology and healthcare, areas critical for modern innovations and societal impact.

🎓 Education:

  • Ph.D. in Computer Applications Technology (2016)
    University: Chinese Academy of Sciences, China 🇨🇳
    Thesis: Energy-efficient Communication in Wireless Body Sensor Networks
  • M.Engg in Communication Systems and Networks (2010)
    University: Mehran University of Engineering and Technology, Pakistan 🇵🇰
    Thesis: Security Issue/Authentication and Simulation of LEAP in WSN
  • B.Engg in Telecommunication Engineering (2008)
    University: Mehran University of Engineering and Technology, Pakistan 🇵🇰
    Thesis: Wireless Sensor Networks, Simulation of Ad-Hoc Routing Protocols

💼 Professional Experience:

  • Senior Lecturer at Kristianstad University, Sweden 🇸🇪 (2021–Present)
    Teaching, research, and supervision of student projects; actively engaged in scientific publishing and grant proposal writing.
  • Postdoctoral Fellow at Luleå University of Technology, Sweden 🇸🇪 (2020)
    Contributed to supervision, teaching, and coordination of special journal issues and conferences.
  • Assistant Professor at Sukkur IBA University, Pakistan 🇵🇰 (2016–2017)
    Supervised students, taught courses, and organized academic events.

🧠 Research Focus:

Ali Hassan Sodhro is a highly skilled researcher in Energy-efficient & Battery-friendly Algorithms ⚡ for Wireless Body Sensor Networks 💡, Wearable Devices ⌚, and IoT-5G 🔗. His expertise spans AI/ML 🤖, Cybersecurity 🔒, Network Security 🛡️, Big Data Analytics 📊, and Multimedia Transmission 🎥, with an emphasis on Smart Healthcare 🏥 and Physical Layer Authentication in IoT networks.

Publication top Notes:

Artificial intelligence-driven mechanism for edge computing-based industrial applications

CITED:326

A multi-sensor data fusion enabled ensemble approach for medical data from body sensor networks

CITED:297

Mobile edge computing based QoS optimization in medical healthcare applications

CITED:208

Towards an optimal resource management for IoT based Green and sustainable smart cities

CITED:197

Quality of service optimization in an IoT-driven intelligent transportation system

CITED:173

Prof Dr. Chia-Yen Lee | Environmental Sensors Award | Best Researcher Award

Prof Dr. Chia-Yen Lee | Environmental Sensors Award | Best Researcher Award 

Prof Dr. Chia-Yen Lee, National Pingtung University of Science and Technology, Taiwan

Prof. Chia-Yen Lee is a distinguished academic in the field of Mechanical Engineering with a focus on micro-sensors, micro-electro-mechanical systems (MEMS), HVAC systems, and indoor environment monitoring. He completed his B.S. and M.S. degrees in Mechanical Engineering at National Taiwan University, Taipei, Taiwan, in 1991 and 1993, respectively. He earned his Ph.D. in Engineering Science from National Cheng Kung University, Tainan, Taiwan, in 2004. Prof. Lee has held significant academic positions at National Pingtung University of Science and Technology (NPUST), where he served as a Professor from August 2010 to July 2021 and as a Distinguished Professor from August 2018. Prior to his tenure at NPUST, he was an Associate Professor at Da-Yeh University and a Visiting Scholar at the California Institute of Technology in 2007. His professional career also includes roles in industry as a Section Head at DiCon Fiberoptics, Inc., and senior engineering positions at TECO Electric and Machinery Co., Ltd.

Professional Profile:

 

Summary of Suitability for the Best Researcher Award:

  • Professor Lee’s research expertise includes micro-sensors, MEMS technology, and indoor environment monitoring. His recent work involves the development of infrared sensors based on ZnO thin films, MEMS-based pyroelectric infrared sensors, and Hall sensor arrays for magnetic field mapping.

Education:

🎓 B.S. in Mechanical Engineering
Department of Mechanical Engineering, National Taiwan University, Taipei, Taiwan (1987-1991)

🎓 M.S. in Mechanical Engineering
Department of Mechanical Engineering, National Taiwan University, Taipei, Taiwan (1991-1993)

🎓 Ph.D. in Engineering Science
Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan (2001-2004)

Professional History:

👨‍🏫 Distinguished Professor
National Pingtung University of Science and Technology, Taiwan (Aug 2018 – Jul 2021)

👨‍🏫 Professor
Department of Materials Engineering, National Pingtung University of Science and Technology, Taiwan (Aug 2010 – Jul 2018)

👩‍🏫 Associate Professor
Department of Materials Engineering, National Pingtung University of Science and Technology, Taiwan (Aug 2008 – Jul 2010)

👩‍🏫 Associate Professor
Department of Mechanical and Automation Engineering, Da-Yeh University, Taiwan (Aug 2007 – Jul 2008)

🌍 Visiting Scholar
Department of Electrical Engineering, California Institute of Technology, CA, U.S.A. (Jul 2007 – Aug 2007)

👨‍🏫 Assistant Professor
Department of Mechanical and Automation Engineering, Da-Yeh University, Taiwan (Aug 2004 – Jul 2007)

Publication top Notes:

Positioning System of Infrared Sensors Based on ZnO Thin Film

Positioning System of Infrared Sensors Based on ZnO Thin Film

Effect of Substrate-Thickness on Voltage Responsivity of MEMS-Based ZnO Pyroelectric Infrared Sensors

Design and Application of MEMS-Based Hall Sensor Array for Magnetic Field Mapping

Prof. Chavis Srichan | Surface sensors | Best Researcher Award

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