Dr. Niss Skov Nielsen | Circuit Sensor | Best Researcher Award

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Dr. Niss Skov Nielsen | Circuit Sensor | Best Researcher Award

Dr. Niss Skov Nielsen, Centre for Health Research, Zealand University Hospital, Nykoebing F, Denmark

Niss Skov Nielsen is an Associate Professor at the Centre for Health Research, Zeeland University Hospital, Nykøbing F. He has an extensive background in public health, environmental health, and epidemiology, with over 30 years of experience in research, project management, and academia. He has held key positions at institutions such as the Danish National Board of Health, the National Institute of Public Health, and the Danish Building Research Institute. His expertise spans health policy, indoor climate and health, epidemiological research, and health economics. He holds a Ph.D. in Health Sciences from the University of Copenhagen and has represented Denmark in various international health and environmental policy initiatives, including WHO and EU collaborations.

Professional Profile:

GOOGLE SCHOLAR

ORCID

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Summary of Suitability for Best Researcher Award

Niss Skov Nielsen is a highly qualified researcher with extensive experience in public health, environmental health, and epidemiology. His career spans multiple prestigious institutions, including the National Institute of Public Health, the Danish National Board of Health, and the Danish Building Research Institute. With a Ph.D. in Health Sciences and a strong publication record in environmental health, workplace well-being, and indoor climate research, he has made significant contributions to both academic and policy-driven research. His leadership roles in national and international health initiatives further establish his suitability for the Best Researcher Award.Strengths & Qualifications:

🎓 Educational Background

  • 1991: Master of Science from the University of Copenhagen 🏛️ (Majors: Biology & Sports)
    • Thesis: Protein Kinase C Activity in Rat Muscle During Work/Growth 🐀
  • 1992: Medical Master’s Degree in Human Biology from the University of Copenhagen 🏥
  • 1998: Ph.D. from the Faculty of Health Sciences, University of Copenhagen 🎓
    • Thesis: Health and Lifestyles Among Students from Upper Secondary Education 📊
  • 2005: Diploma in Organization & Management in the Health Sector at the Southern School of Business 📈
    • Graduation Project: Decision-Making Efficiency & Cost-Effectiveness in an Inter-Organizational Network 🔄
  • 2024: Master in Environmental Assessment (Focus: Indoor Climate & Health) from Aalborg University 🌍🏠

👨‍💼 Work Experience

  • 1994-1997: Health Coordinator for Frederiksborg County’s Health Projects 🏥
  • 1998-2003: Project Manager & Researcher at the National Institute of Public Health 📊
    • Managed the Danish Health & Morbidity Survey 🩺
  • 2003-2004: Clinical Coordinator & Product Safety (Toxicology) Expert at Coloplast A/S 🧪
  • 2004-2007: Clinical Epidemiologist & Researcher at the Research Center for Prevention & Health 🏥
    • Managed 3 National Indicator Project Databases 📈
    • Led Well-being & Work Environment Study at Novo Nordisk 🏢
  • 2007-2012: Senior Consultant & Project Manager in Environmental Health at the Danish National Board of Health 🌿
  • 2013-2018: Associate Professor & Educational Manager at Metropol University College 🎓
    • Taught Scientific Methodology, Risk Assessment, Health Economics, etc. 📚
  • 2018-2024: Project Manager & Researcher at the Danish Building Research Institute (SBi/Build) 🏗️
  • 2024-Present: Associate Professor at the Centre for Health Research, Zeeland University Hospital 🏥🎓

🏆 Achievements, Awards & Honors

  • 2008-2012: Danish National Board of Health Representative in Inter-Ministerial Environmental & Health Groups 🇩🇰🌍
  • 2009-2010: Danish Representative at WHO Ministerial Conference on Environment & Health (Parma, 2010) 🌍🏥
  • 2009: Contributor to WHO International Health Assessment Questionnaire 📄
  • 2009-2012: Health Authority Representative in EU Health & Environment Projects 🇪🇺
    • Collaborated on Transnational Health Economics & Environmental Exposure Studies 📊
    • Presented Research at WHO Parma Conference (2009) 🌍🏆

Publication Top Notes:

Protein kinase C activity in rat skeletal muscle Apparent relation to body weight and muscle growth

CITED:17

Indoor air concentrations of PCB in a contaminated building estate and factors of importance for the variance

CITED:11

The impact of stress and lifestyle factors on short-term sickness absence in a large Danish industrial company

CITED:5

Patterns of Perceived Indoor Environment in Danish Homes

CITED:5

Sundhed og trivsel på arbejdspladsen: inspiration til systematisk og strategisk arbejde med sundhedsfremme i virksomheden

CITED:4

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

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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:

GOOGLE SCHOLAR

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:

Perioperative comparative effectiveness of anesthetic technique in orthopedic patients

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

 

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

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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:

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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

Dr. Dinh-Dung Nguyen | Sensor Integration Award | Best Researcher Award

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Dr. Dinh-Dung Nguyen | Sensor Integration Award | Best Researcher Award

Dr. Dinh-Dung Nguyen, Le Quy Don Technical University, Vietnam

Dr. Dinh-Dung Nguyen is a dedicated lecturer in the Faculty of Aerospace Engineering at Le Quy Don Technical University in Hanoi, Vietnam, where he has been affiliated since 2011. He earned his Ph.D. in Transportation Engineering and Vehicle Engineering from the Budapest University of Technology and Economics in Hungary in 2021. Dr. Nguyen’s research focuses on sustainable aviation, aerial vehicles, and the integration of control systems in transportation. He is actively involved in various national and international projects that address environmental issues and promote smart city transportation systems. With a robust publication record, Dr. Nguyen has contributed significantly to the field of aviation and urban planning, demonstrating a commitment to advancing knowledge and practices in sustainable transportation. His work has garnered attention in reputable journals, highlighting his expertise and impact in aerospace engineering and transportation research.

Professional Profile:

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Summary of Suitability for the Best Researcher Award

Researcher Overview: Dung Dinh Nguyen is a lecturer at the Faculty of Aerospace Engineering, Le Quy Don Technical University, in Hanoi, Vietnam. He obtained his Ph.D. in Transportation Engineering and Vehicle Engineering from the Budapest University of Technology and Economics, Hungary, in 2021. His research focuses on sustainable aviation, aerial vehicles, system design, and the integration of control devices in aircraft, particularly in the context of smart cities and urban planning.

Education

  • Ph.D. in Transportation Engineering and Vehicle Engineering
    Institution: Budapest University of Technology and Economics, Hungary
    Year: 2021

Work Experience

  • Lecturer
    Department: Faculty of Aerospace Engineering
    Institution: Le Quy Don Technical University, Hanoi, Vietnam
    Years: 2014 – Present
  • Academy Graduate
    Institution: Le Quy Don Technical University, Hanoi, Vietnam
    Years: 2011 – Present

Research and Academic Contributions

Dinh-Dung Nguyen has been involved in various national and international studies focused on sustainable aviation, aerial vehicles, system design, and transportation systems in smart cities. His research emphasizes environmental assessments and innovations in the integration of drones into urban transportation frameworks.

Publication top Notes:

Microactuators Supporting and Sensor Technology an Intelligent Transportation Management System

Revolutionizing Urban Transportation with Sensor Technology and Microactuators

An investigation of sensing and technologies for supporting the intelligent transport management system in urban area

Management and Regulation of Drone Operation in Urban Environment: A Case Study

An investigation of the Internet-based approach for drone management in a city environment

Autonomous flight trajectory control system for drones in smart city traffic management

Mrs. Caroline Schio | Sensor-Enhanced Education | Best Researcher Award

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Mrs. Caroline Schio | Sensor-Enhanced Education | Best Researcher Award

Mrs. Caroline Schio, University of Lisbon, Portugal

Caroline Schio is a dedicated researcher and educator specializing in oceanography, environmental education, and agroecosystems. Currently pursuing a PhD in Science Didactics at Universidade de Lisboa, her work focuses on integrating ocean citizenship into basic education through innovative design-based research. With a strong background in socio-environmental education and practical learning, Caroline has led and participated in various research projects, including developing pedagogical models and guides for environmental literacy. Her professional experience spans roles as an educator and president at Instituto Monitoramento Mirim Costeiro in Brazil, and she has contributed to environmental education through numerous publications and conferences. Fluent in Portuguese, English, and Spanish, Caroline is committed to advancing environmental awareness and citizen science.

Professional Profile:

Orcid

Suitability Summary for Best Researcher Award

Researcher: Caroline Schio

Summary:

Caroline Schio is an exemplary candidate for the Best Researcher Award, recognized for her impactful research and dedication to advancing environmental education and oceanography. Her interdisciplinary approach, combining scientific research with practical education, underscores her significant contributions to the field.

🎓Education:

Caroline Schio is currently pursuing a PhD in Science Didactics at Universidade de Lisboa / Instituto de Educação, Portugal, starting in September 2020. She holds a Postgraduate Certificate in Agroecosystems from Universidade Federal de Santa Catarina, Brazil, awarded in April 2015. Additionally, Caroline completed a Postgraduate Certificate in Fisheries Economics and Management from Universitat Autònoma de Barcelona, Spain, in June 2009. Her academic journey began with a Bachelor in Oceanography from Universidade do Vale do Itajaí, Brazil, obtained in December 2007.

🏢Work Experience:

Caroline Schio has been awarded a PhD Scholarship by Fundação para a Ciência e a Tecnologia at Universidade de Lisboa, Portugal, from November 2023 to November 2025. Prior to this, she worked as a Technician for the Programa Maçarico de Literacia do Oceano at CoLab +ATLANTIC, Portugal, from March 2021 to October 2022. Caroline served as both an Educator and President at Instituto Monitoramento Mirim Costeiro in Brazil from February 2018 to February 2023. She also worked as an Editor and Columnist in the Socioenvironmental Area at Jornal da Praia, Brazil, from July 2011 to December 2012. Earlier in her career, Caroline volunteered as a Researcher at Parque Nacional Manuel Antônio in Costa Rica from December 2006 to February 2007 and worked as an Environmental Educator at Instituto Ambiental Kat Schürmann, Brazil, from December 2005 to March 2006.

Publication Top Notes:

  • Design of a Pedagogical Model to Foster Ocean Citizenship in Basic Education
  • Cultura Oceânica para a Economia Azul
  • Ocean Literacy for the Blue Economy
  • Criaturas da Barra e das Demais Praias da Região de Garopaba-SC
  • Monitoramento Mirim Costeiro

 

 

 

 

Dr. Srinivas Balivada | Hidden Sensors Award | Best Researcher Award

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Dr. Srinivas Balivada | Hidden Sensors Award | Best Researcher Award

Dr. Srinivas Balivada, University of Chicago Trust, India

Dr. Srinivasa Balivada is a consultant with the University of Chicago Trust in Delhi, India, and a guest scientist at the University of Chicago. He holds a Ph.D. in Chemistry from Andhra University, where his research focused on trace elements in diabetes mellitus and hypertension. Dr. Balivada’s expertise lies in developing innovative cyber-physical systems for real-time monitoring of soil and water quality, leveraging AI to promote sustainable environmental management.

Professional Profile:

Summary of Suitability for Best Researcher Award: Srinivasa Balivada, Ph.D.

Research Contributions: Srinivasa Balivada has made significant advancements in the field of cyber-physical systems and environmental monitoring. His research has been pivotal in developing innovative technologies for real-time soil and water quality monitoring, leveraging machine learning and advanced sensor networks. Some notable contributions include:

Education

  • Ph.D. in Chemistry, October 2018
    Andhra University, India
  • M.Sc. in Bio-Inorganic Chemistry, May 2007
    Andhra University, India
  • B.Sc. in Chemistry, Botany, and Zoology, May 2005
    Andhra University, India

Work Experience

  • Guest Scientist & Consultant, May 2024 – Present
    University of Chicago & University of Chicago Trust, Delhi, India
    Focus: Designing a web-based platform integrating water quality data with contextual information to identify pollution sources and enhance monitoring.
  • Staff Scientist & Resident Associate, May 2023 – May 2024
    University of Chicago & Material Science Division, Argonne National Laboratory
    Focus: Developed a novel machine learning algorithm for spatially mapping soil moisture using topographic parameters.
  • Postdoctoral Scholar & Resident Associate, May 2019 – May 2023
    University of Chicago & Material Science Division, Argonne National Laboratory
    Advisor: Prof. Supratik Guha; Co-advisor: Dr. Roser Matamala
    Focus: Developed low-power, wireless underground sensor networks for soil property collection; created a deep learning algorithm for soil moisture estimation.
  • Senior Research Lead, May 2017 – April 2019
    University of Chicago Centre, Delhi, India
    Focus: Developed a cyber-physical sensing system for high-resolution surface water quality mapping; created a soft measurement technique for water quality assessment.
  • Research Scholar, 2010 – 2017
    School of Chemistry, Andhra University, India
    Advisor: Prof. M S Prasada Rao
    Focus: Developed a method for simultaneous trace element determination in blood samples; investigated trace element associations with diabetes and hypertension.
  • Research Fellow, 2010 – 2017
    Centre for Studies on Bay of Bengal, Andhra University, India
    Focus: Developed algorithms for quantifying chlorophyll, chromophoric organic matter, and suspended solids in coastal waters; monitored algal blooms using satellite remote sensing.
  • Teaching Assistant, 2011 – 2017
    Department of Inorganic and Analytical Chemistry, Andhra University, India
    Taught and graded laboratory sessions for Bio-Inorganic Chemistry and Environmental Chemistry.
  • Chemist in Quality Control Department, 2007 – 2009
    Auctus Pharma Ltd., India
    Responsibilities: Conducted routine and non-routine analyses of raw materials and finished products, compiled data, and calibrated analytical instruments including HPLC, GC, IR, and UV-Vis spectrometers.

Publication top Notes:

 

Distribution of trace metals in surface seawater and zooplankton of the Bay of Bengal, off Rushikulya estuary, East Coast of India

CITED:76

A Wireless Underground Sensor Network Field Pilot for Agriculture and Ecology: Soil Moisture Mapping Using Signal Attenuation

CITED:14

Contrasting bio-optical characteristics of coastal water prior to and in the aftermath of a tropical super cyclone

CITED:8

Particle backscattering variability in the coastal waters of Bay of Bengal: a case study along off Kakinada and Yanam regions

CITED:8

Retrieval and validation of chlorophyll-a concentrations in the coastal waters Off Yanam and Kakinada (Godavari) basin along East coast of India

CITED:7

 

Dr. Akito Higatani | Intelligent Sensors | Best Researcher Award

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Dr. Akito Higatani | Intelligent Sensors | Best Researcher Award

Dr. Akito Higatani, Hanshin Expressway Co., Ltd., Japan

Akito Higatani is an accomplished professional in traffic engineering, currently serving as Assistant Manager in the Planning Department at Hanshin Expressway Co., Ltd. With a career spanning 18 years, he has made significant contributions to the field through his research and practical insights into traffic management and efficiency. Dr. Higatani’s academic journey began at Kyoto University, Japan, where he earned his Bachelor’s degree in Engineering from the Undergraduate School of Global Engineering, specializing in Transportation Engineering and Management. He continued his studies at Kyoto University, obtaining a Master’s degree in Urban Management, focusing on traffic efficiency in urban expressways. His doctoral studies also at Kyoto University culminated in a Doctor of Engineering degree, where his research focused on planning patrolling schedules in urban expressway networks considering traffic incidents and network performance fluctuations. Dr. Higatani has contributed extensively to the field through peer-reviewed papers and presentations at international conferences. His research, such as studying traffic volume fluctuations and travel time reliability measures in the Hanshin Expressway Network, has been instrumental in advancing understanding and strategies in traffic engineering.

 

Professional Profile:

SCOPUS

 

Education:

Akito Higatani pursued his academic journey at Kyoto University, Japan, specializing in Transportation Engineering and Management.

  • Bachelor of Engineering (Undergraduate School of Global Engineering, April 2000 – March 2004): Akito completed his undergraduate studies with a focus on Transportation Engineering and Management. His graduation thesis investigated traffic flow observation using image data.
  • Master of Engineering (Department of Urban Management, April 2004 – March 2006): Continuing his studies at Kyoto University, Akito delved deeper into urban traffic management, particularly focusing on traffic efficiency at merging sections of urban expressways using image data.
  • Doctor of Engineering (Department of Urban Management, April 2012 – March 2015): Akito pursued his doctoral studies, specializing in planning patrolling schedules within urban expressway networks. His dissertation focused on optimizing schedules considering traffic incidents and network performance fluctuations.

Work Experience:

Akito Higatani has accumulated extensive experience in traffic engineering and management, primarily at Hanshin Expressway Co., Ltd.

  • Assistant Manager, Planning Department: Akito has been serving as an Assistant Manager since joining Hanshin Expressway in April 2006. His role involves strategic planning within the Planning Department, focusing on optimizing traffic flow and efficiency across the expressway network.

Academic Achievements:

Akito Higatani has contributed significantly to the field of traffic engineering through peer-reviewed publications and conference presentations:

 

Publication top Notes:

Assessing the Impacts of Autonomous Vehicles on Road Congestion Using Microsimulation

An investigation into the appropriateness of car-following models in assessing autonomous vehicles

Driving simulator experiment on speed reduction during earthquake on an urban expressway

A study of traffic volume fluctuation considering traffic incidents in hanshin expressway network

Slippage test of frictional high strength bolted joints with adhesives for corroded damaged steel members

 

Prof. Chavis Srichan | Surface sensors | Best Researcher Award

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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