Omid Abachian Ghasemi | Wireless Sensors and WSN | Best Researcher Award

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Dr. Omid Abachian Ghasemi | Wireless Sensors and WSN | Best Researcher Award

PhD Graduate at urmia university, Iran

Omid Abachian Ghasemi is a dedicated researcher in the field of wireless communications, specializing in UAV-assisted and RIS/IRS-assisted wireless networks. With a strong academic foundation, including a Ph.D. in Electrical Engineering from Urmia University (2024), his work focuses on resource and power allocation strategies in wireless-powered sensor networks. He has published several high-impact articles in renowned journals such as IEEE Internet of Things Journal, IEEE Communications Letters, IEEE Access, and Computer Networks, addressing key challenges in throughput maximization and network optimization. Proficient in MATLAB, Python, and LaTeX, Omid combines analytical expertise with practical simulation skills. Fluent in Persian, English, and Turkish, he is well-equipped for international collaboration. His research reflects a deep commitment to advancing next-generation wireless communication systems, making him a strong candidate for recognition as a leading researcher in sensing and communication technologies.

Professional Profile 

🎓 Education Background of Omid Abachian Ghasemi

Omid Abachian Ghasemi has built a solid academic foundation in the field of Electrical Engineering. He earned his Bachelor’s degree in Electrical Engineering from Tabriz University in 2012, where he developed a strong grasp of core engineering principles. Continuing his academic journey, he completed a Master of Science in Electrical Engineering (Communication) at Sahand University of Technology, Tabriz, in 2015, with a focus on advanced communication systems. Most recently, he achieved a significant milestone by completing his Ph.D. in Electrical Engineering – Wireless Communication at Urmia University in 2024, where he specialized in cutting-edge topics such as UAV and RIS-assisted wireless networks. His educational trajectory reflects a consistent dedication to mastering both theoretical and applied aspects of modern communication technologies.

💼 Professional Experience of Omid Abachian Ghasemi

Omid Abachian Ghasemi has cultivated a focused and research-driven professional career in the field of wireless communications and sensor networks. His expertise lies in the design and optimization of advanced wireless systems, particularly involving UAV-assisted, RIS/IRS-enabled, and wireless-powered sensor networks. Throughout his academic journey, he has actively contributed to multiple high-impact research projects, leading to publications in prestigious IEEE journals. His hands-on experience with simulation tools like MATLAB and Python, along with his proficiency in LaTeX for technical writing, has enabled him to develop and communicate complex algorithms and network models effectively. Although primarily rooted in academia, Omid’s work demonstrates a deep understanding of practical engineering challenges, especially in resource allocation, network throughput maximization, and next-generation communication systems, making him a valuable contributor to the future of smart wireless technologies.

🔬 Research Interests of Omid Abachian Ghasemi

Omid Abachian Ghasemi’s research interests lie at the forefront of next-generation wireless communication systems, with a particular focus on UAV-assisted networks, Reconfigurable Intelligent Surfaces (RIS/IRS), and wireless-powered sensor networks. His work centers on developing advanced resource and power allocation algorithms, aiming to maximize network efficiency and throughput in energy-constrained environments. He is especially interested in exploring TDMA and FDMA techniques within RIS-assisted architectures and optimizing UAV placement for improved connectivity and coverage. By integrating aerial platforms and intelligent reflecting surfaces into wireless systems, Omid seeks to overcome traditional limitations in wireless communication, contributing significantly to the advancement of green, adaptive, and high-performance communication networks.

🏆 Awards and Honors of Omid Abachian Ghasemi

While specific awards and honors have not been listed in the available profile, Omid Abachian Ghasemi’s recent achievements reflect a high level of academic excellence and research impact. His acceptance and publication of multiple papers in top-tier IEEE journals, such as IEEE Internet of Things Journal, IEEE Communications Letters, and IEEE Access, serve as strong indicators of his scholarly recognition in the field of wireless communications. These publications, combined with his contributions to cutting-edge research on UAV and RIS-assisted networks, suggest that he is well-positioned to receive prestigious academic and research awards in the near future. His continued dedication and innovative work make him a strong contender for honors such as the Best Researcher Award in sensing and communication technologies.

📚 Publications Top Noted

1. Joint Optimization of UAV Placement and Resource Allocation in FDMA Wireless‑Powered Sensor Networks

  • Authors: Omid Abachian Ghasemi & Mehdi Chehel Amirani
  • Year: 2025 (in IEEE Access)
  • Citation: DOI 10.1109/ACCESS.2025.3574193

2. The design of an RIS‑assisted FDMA wireless sensor network for sum throughput maximization

  • Authors: Omid Abachian Ghasemi; Masoumeh Azghani; Mehdi Chehel Amirani
  • Year: October 2025 (Computer Networks)
  • Citation: DOI 10.1016/j.comnet.2025.111512

3. Resource Allocation in a RIS‑Assisted TDMA Wireless Powered Sensor Network Using UAV

  • Authors: Omid Abachian Ghasemi & Mehdi Chehel Amirani
  • Year: June 2025 (IEEE Communications Letters)
  • Citation: DOI 10.1109/LCOMM.2025.3562118

4. Resource and Power Allocation for Sum‑Throughput Maximization in RIS‑Assisted TDMA Wireless Sensor Networks

  • Authors: Omid Abachian Ghasemi; Mehdi Chehel Amirani; Masoumeh Azghani
  • Year: July 1, 2024 (IEEE Internet of Things Journal)
  • Citation: DOI 10.1109/JIOT.2024.3390199

 Conclusion

Omid Abachian Ghasemi is a strong and promising candidate for the Best Researcher Award, particularly in the fields of intelligent wireless networks and sensor technologies. His recent and focused publication track record in top-tier IEEE journals, combined with his advanced studies and technical skill set, clearly demonstrates innovation and depth.

 

Prof. Hamed Dalir | Nano Sensors Awards | Best Researcher Award

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Prof. Hamed Dalir | Nano Sensors Awards | Best Researcher Award

Prof. Hamed Dalir, University of Florida, United States

Hamed Dalir, Ph.D. is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Florida, where he also serves as the Director of the CHIP Lab. With a strong background in electronics and applied physics, Dr. Dalir specializes in quantum devices, novel semiconductor technologies, and the integration of AI and machine learning systems. He has received numerous accolades throughout his career, including the AFWERX Commercialization Solution Award (2022) and the Young Scientist Award from the Japan Society for the Promotion of Science

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for the Best Researcher Award: Hamed Dalir, Ph.D.

Candidate Overview
Dr. Hamed Dalir is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Florida and the Director of the CHIP Lab. With a robust academic background and extensive research experience, Dr. Dalir has established himself as a leader in the fields of electronics, photonics, and quantum technology.

Education 🎓

  • Postdoctoral Fellow in Quantum Computing
    NSF Nano-scale Science and Engineering Center, University of California, Berkeley, CA, USA
    01/2015 – 01/2017
    NSF Fellowship: $92,500
  • Postdoctoral Fellow in Electronics & Applied Physics
    Future Interdisciplinary Research of Science and Technology, Tokyo Institute of Technology, Tokyo, Japan
    04/2014 – 01/2015

    • Winner of Global Center of Excellence (GCOE): ¥1,200,000
    • Fellow of JSPS (Japan’s NSF): ¥13,000,000
  • Doctor of Philosophy (Ph.D.) in Electronics & Applied Physics
    Micro/Nanotechnology Center, Tokyo Institute of Technology, Tokyo, Japan
    08/2011 – 04/2014
  • Master of Engineering in Electronics & Applied Physics
    Micro/Nanotechnology Center, Tokyo Institute of Technology, Tokyo, Japan
    09/2009 – 08/2011
  • International Study Experience
    • ECE Institute of Studies Scientifiques, France (Summer 2012)
    • ECE Stanford University, USA (Summer 2013)
    • ECE Würzburg University, Germany (Summer 2011)
    • ECE St. Petersburg University, Russia (Summer 2011)

Work Experience 💼

  • Associate Professor
    Department of Electrical and Computer Engineering, University of Florida
    06/2023 – Present

    • Deputy Director of Florida Semiconductor Institute
  • Founder, Qbyte LLC
    01/2024 – Present
  • Associate Professor
    Department of Electrical and Computer Engineering, The George Washington University
    01/2021 – 08/2023

    • Founder & CEO, Optelligence LLC (01/2021 – 05/2023)
  • Associate Editor
    • EPJ Quantum Technology | Nature Springer (01/2023 – Present)
    • Frontiers in Electronics | Flexible Electronics (01/2021 – Present)
  • AR/VR Program Manager
    OSRAM, Minneapolis, MN, USA
    10/2020 – 01/2021
  • Principal Investigator, Chief Scientist
    UT Austin’s Spin-off, Austin, TX, USA
    07/2018 – 09/2020
  • Senior Research Scientist
    11/2016 – 06/2018
  • RF Senior Researcher
    Berkeley Wireless Research Center (BWRC), Berkeley, CA, USA
    02/2015 – 10/2016
  • Visiting Researcher
    Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA, USA
    02/2015 – 09/2016
  • Principal Investigator
    Japan Society for the Promotion of Science, Tokyo, Japan
    10/2009 – 01/2015

Achievements & Awards 🏆

  • 2022: AFWERX Commercialization Solution Award
  • 2021: AFOSR Research Grant
  • 2014: Young Scientist Award from the Japan Society for the Promotion of Science
  • 2013: Inventor of a novel semiconductor laser (in commercialization stage with Fuji Xerox)
  • 2012: Golden Award from the Global Center of Excellence (GCOE)
  • 2009: Yoshida Foundation Award for Development of Future Leaders for Changing Times

Publication Top Notes:

Athermal broadband graphene optical modulator with 35 GHz speed

CITED:224

Massively parallel amplitude-only Fourier neural network

CITED:196

29 GHz directly modulated 980 nm vertical-cavity surface emitting lasers with bow-tie shape transverse coupled cavity

CITED:164

Electronic-photonic arithmetic logic unit for high-speed computing

CITED:139

Sub-wavelength GHz-fast broadband ITO Mach–Zehnder modulator on silicon photonics

CITED:127

0.52 V mm ITO-based Mach-Zehnder modulator in silicon photonics

CITED:127

 

Assoc. Prof. Dr karim choubani | Sensing Units Awards | Best Researcher Award

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Assoc. Prof. Dr karim choubani | Sensing Units Awards | Best Researcher Award 

Assoc. Prof. Dr karim choubani, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia

Dr. Karim Choubani is an Assistant Professor in Mechanical Engineering with extensive experience in teaching, research, and professional training. He earned his Doctorate from the University of Tunis Manar, Tunisia, and the Institute of Fluid Mechanics of Toulouse, France, in 2009. Dr. Choubani also holds a Master’s degree in Industrial Thermal Systems from the University Institute of Industrial Thermal Systems in Marseille, France, and a Mechanical Engineering degree from the Engineering School of Tunisia, with additional studies in Italy.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Karim Choubani

Research Experience and Expertise: Karim Choubani holds a Doctorate from the Engineering School of Tunisia, with extensive experience in fluid mechanics, heat transfer, desalination, and renewable energy applications, including solar pond technology and membrane desalination. His research integrates experimental, theoretical, and numerical approaches, with a notable focus on practical applications in energy and environmental sustainability. This background highlights his expertise in addressing complex engineering challenges, making him a strong candidate for research-focused awards.

Education

  • Doctorate in Engineering
    • Institutions: Engineering School of Tunisia, University of Tunis Manar, Tunisia; Institute of Fluid Mechanic of Toulouse (IMFT), Toulouse, France
    • Year of Completion: 2009
  • Master’s Degree in Engineering
    • Institutions: Engineering School of Tunisia, University of Tunis Manar, Tunisia; University Institute of the Industrial Thermal Systems (IUSTI), Marseille, France
    • Year of Completion: 2002
  • Mechanical Engineering Degree
    • Institutions: Engineering School of Tunisia, University of Tunis Manar, Tunisia; University of Mechanic-Energetic of Ancona and Sapienza University of Rome, Italy
    • Year of Completion: 2001

Professional Experience

  • Assistant Professor
    • Institution: Al Imam Mohammad Ibn Saud Islamic University, Department of Mechanical Engineering, Kingdom of Saudi Arabia
    • Dates: September 5, 2022 – Present
    • Responsibilities:
      • Teaching Dynamics and Vibration courses
      • Supervising undergraduate students
  • Assistant Professor
    • Institution: High Institute of Applied Sciences and Technology of Mahdia (ISSAT), Tunisia
    • Dates: September 15, 2019 – June 30, 2022
    • Responsibilities:
      • Teaching courses in Statics and Dynamics, Vibration, Automatic Control, Thermodynamics, and Fluid Mechanics
      • Supervising undergraduate students
  • Professional Trainer
    • Institution: Department of Mechanical Technology (Refrigeration and Cooling), Riyadh College of Technology, Riyadh, Saudi Arabia
    • Dates: August 20, 2013 – August 20, 2019
  • Assistant Professor
    • Institution: High Institute of Applied Sciences and Technology of Mahdia (ISSAT), Tunisia
    • Dates: September 15, 2010 – June 30, 2013
    • Responsibilities:
      • Teaching courses in Statics and Dynamics, Thermodynamics, Fluid Mechanics, Vibration, and Automatic Control
      • Supervising undergraduate students
  • Assistant Professor
    • Institution: High Institute of Industrial Systems of Gabes, Tunisia
    • Dates: September 15, 2009 – June 30, 2010
    • Responsibilities:
      • Teaching courses in Statics and Dynamics, Thermal Sciences, and Fluid Mechanics
      • Research on Desalination, Solar Pond, and Convective Heat and Mass Transfer
  • Assistant Professor
    • Institution: High Institute of Industrial Systems of Gabes, Tunisia
    • Dates: September 15, 2006 – June 30, 2009
    • Responsibilities:
      • Teaching courses in Statics and Dynamics, Fluid Mechanics, Thermodynamics, Heat Transfer, and Refrigeration Systems
      • Developed course materials and laboratory experiments
      • Participated in establishing a new Professional Master’s degree
  • Technological Trainer
    • Institution: High Institute of Technological Studies of Radès (ISET), Tunisia
    • Dates: February 15, 2003 – June 30, 2006
    • Responsibilities:
      • Teaching courses in Statics and Dynamics, Fluid Mechanics, Thermodynamics, and Heat Transfer
      • Conducted laboratory experiments

Research Experience

  • Researcher
    • Institution: Energetic-Mechanic Unit, National Engineering School of Tunisia (URME_ENIT); Research Unit in Mechanical Modeling, Energy & Materials (M2&EM), National School of Engineers of Gabes, Tunisia
    • Dates: February 1, 2001 – February 1, 2017
    • Responsibilities:
      • Conducted research in heat and mass transfer, solar ponds, desalination, and fluid stratified systems
      • Supervised graduate students and organized research projects

Publication top Notes:

Experimental investigation of the effect of angled fins on the energy and exergy efficiencies of solar stills: A comparison between double slope and pyramid solar stills under Tunisia weather conditions

Effect of an Adiabatic Obstacle on the Symmetry of the Temperature, Flow, and Electric Charge Fields during Electrohydrodynamic Natural Convection

Porous silicon layer decorated with PbS nanoparticles by SILAR method for enhanced photocatalytic degradation of amido black dye

Experimental Investigation of a Phase-Change Material’s Stabilizing Role in a Pilot of Smart Salt-Gradient Solar Ponds

Numerical simulations for thermally developed double diffusion flow of nanoparticles due to elongated cylinder with multiple slip effects: Applications to energy storage system

Thermal analysis of AA7075-AA7072/methanol via Williamson hybrid nanofluid model past thin needle: Effects of Lorentz force and irregular heat rise/fall

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. Makavelo Germain Deon | Analog sensors Award | Best Researcher Award

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Dr. Makavelo Germain Deon | Analog sensors Award | Best Researcher Award

Dr. Makavelo Germain Deon, China University of Mining and Technology, China

Makavelo Germain is a passionate researcher and dynamic professional specializing in mining engineering with a focus on strata and ground control. He is currently a Ph.D. candidate at the China University of Mining and Technology, Xuzhou, Jiangsu Province, China, where he specializes in Solid Backfilling Mining Technology for Ground Control, Rock Mechanics, and Green Mining. With a strong educational foundation, he holds a Master’s degree in Mining Engineering and a Bachelor’s degree in Geology from the University of Mahajanga, Madagascar. Makavelo’s professional journey includes roles as a Waterproof Supervisor and Technician in Astana, Kazakhstan, and HVAC Technician and Assistant Technician in Mahajanga, Madagascar. Fluent in Malagasy, English, French, and possessing basic proficiency in Russian and Chinese, he excels in cross-functional collaboration and leadership, leveraging his analytical skills to drive process improvements in his field.

Professional Profile:

Summary of Suitability for Best Researcher Award

Deon Makavelo Germain is a highly qualified candidate for the Best Researcher Award, particularly in the field of mining engineering. His extensive academic and professional experience, combined with his proven track record of impactful research, makes him a strong contender for this accolade.

🎓 Education

  • Ph.D. Candidate in Mining Engineering (2021 – Present)
    Specialized in Solid Backfilling Mining Technology for Ground Control, Rock Mechanics, and Green Mining at China University of Mining and Technology, Xuzhou, Jiangsu Province, China.
  • Master of Mining Engineering (2014 – 2017)
    Specialized in Solid Backfilling Mining Technology for Ground Control, Rock Mechanics, and Green Mining at China University of Mining and Technology, Xuzhou, Jiangsu Province, China.
  • Chinese Language Course (HSK-4) (2013 – 2014)
    Completed one year of Chinese Language Course at the International College, China University of Mining and Technology, Xuzhou, Jiangsu Province, China.
  • Bachelor of Geology (2007 – 2010)
    Earned a Bachelor’s degree in Geology from the Faculty of Sciences, University of Mahajanga, Madagascar.

🛠️ Experience

  • Waterproof Supervisor (2018 – 2021)
    Building Waterproofing Supervisor at Express Insulating Materials Co-EIMC, Astana, Kazakhstan.
  • Waterproof Technician (2017 – 2018)
    Worked as a Building Waterproofing Supervisor at Express Insulating Materials Co-EIMC, Astana, Kazakhstan.
  • HVAC Technician (2012 – 2013)
    HVAC Technician at FRIMECAM Co., Mahajanga, Madagascar.
  • HVAC Assistant Technician (2009 – 2012)
    HVAC Assistant Technician at FRIGOMAD Co., Mahajanga, Madagascar.

Publication top Notes:

Analysis of Solid Backfilling Effects on Strata and Ground Subsidence in a Longwall Coal Mine Beneath a City

Study of Slope Stability of the Mining Wall in an Open-Pit Coal Mine by the Paste Cut-and-Backfill Method

Sensitivity analysis of key factors influencing compression-induced deformation of waste rocks for backfilling to reduce environmental pollution

Recycling of crushed waste rock as backfilling material in coal mine: effects of particle size on compaction behaviours

Influential Factors in Transportation and Mechanical Properties of Aeolian Sand-Based Cemented Filling Material

 

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