Assoc. Prof. Dr. Yao-Chuan Tsai | Sensor | Best Researcher Award

Posted on by ScienceFather

Assoc. Prof. Dr. Yao-Chuan Tsai | Sensor | Best Researcher Award

Assoc. Prof. Dr. Yao-Chuan Tsai | National Chung Hsing University | Taiwan

Assoc. Prof. Dr. Yao-Chuan Tsai is a distinguished scholar and innovative researcher whose work integrates mechanical engineering, microfabrication, and smart agricultural technologies. His academic journey and professional experiences have spanned Taiwan and Japan, and his expertise covers micro-electro-mechanical systems (MEMS), micromanufacturing, automation, and artificial intelligence applications in agriculture. Currently serving as the Department Chair of Bio-Industrial Mechatronic Engineering at National Chung Hsing University, he has been instrumental in advancing interdisciplinary approaches to smart farming and bio-industrial automation. Assoc. Prof. Dr. Yao-Chuan Tsai has also directed major research centers, guided industry collaborations, and received international recognition for his inventive contributions in agricultural engineering, demonstrating a career that bridges cutting-edge technology with real-world sustainability solutions.

Professional Profile

Google Scholar

Orcid

Scopus

Summary of Suitability 

Assoc. Prof. Dr. Yao-Chuan Tsai is a distinguished researcher and academic leader in bio-industrial mechatronic engineering, micro-electromechanical systems (MEMS), micromanufacturing, automation, artificial intelligence applications, and smart agriculture. With advanced degrees in Mechanical Engineering from National Taiwan University and a strong international research background in Japan, he has established himself as a pioneer at the intersection of engineering innovation and agricultural technology.

Education

Assoc. Prof. Dr. Yao-Chuan Tsai earned his Bachelor of Science degree in Mechanical Engineering from National Chiao-Tung University, where he built the foundational knowledge of mechanics, materials, and automation. He continued his graduate studies at National Taiwan University, completing both his Master of Science and Doctor of Philosophy degrees in Mechanical Engineering. His doctoral research involved MEMS and micromanufacturing, laying the groundwork for future exploration of automation and artificial intelligence applications in agriculture. His strong academic training across Taiwan’s leading universities prepared him with a balance of technical rigor, innovative thinking, and interdisciplinary vision that underpins his current contributions.

Experience

Assoc. Prof. Dr. Yao-Chuan Tsai professional career reflects a balance between academic leadership and international research collaborations. He began as a researcher at the Micro System Integration Center (μSIC) and later at the Advanced Institute for Materials Research (WPI-AIMR) at Tohoku University in Japan, where he contributed to micromanufacturing and MEMS integration projects. He also gained industry experience as a researcher with MEMS-CORE Corporation in Japan, applying micro-automation technologies in practical contexts. Returning to Taiwan, he joined the Department of Bio-Industrial Mechatronic Engineering at National Chung Hsing University as Assistant Professor and steadily advanced to Associate Professor and Department Chair. He also served as Director of the Agricultural Automation Center, where he established collaborative projects linking artificial intelligence, robotics, and farming technology. His leadership roles underscore his ability to bridge academia, research, and industry with measurable impact.

Research Interests

Assoc. Prof. Dr. Yao-Chuan Tsai research interests encompass micro-electro-mechanical systems, micromanufacturing, automation technologies, and their integration into agricultural applications. He is particularly dedicated to advancing smart agriculture, focusing on precision farming systems that incorporate MEMS sensors, machine learning algorithms, and AI-driven automation to optimize productivity while maintaining sustainability. His work also explores automation in livestock farming, including animal monitoring, weight detection, and behavior recognition, as well as AI-based bird detection and repelling systems. By combining MEMS design with AI modeling, his research provides innovative solutions to challenges in agriculture, demonstrating how cutting-edge technology can transform traditional industries.

Awards

Assoc. Prof. Dr. Yao-Chuan Tsai has received multiple awards and honors that highlight his excellence in both teaching and research. He has twice been honored with the National Chung Hsing University Industry-Academic Outstanding Teacher Award, recognizing his contributions to technology transfer and academic-industry collaboration. He was also the recipient of the School Outstanding Instructor Award, demonstrating his commitment to education and mentorship. His patents on agricultural automation systems, including an automatic animal weight measurement method and a bird detection and repelling system, won Silver Medals at the Taiwan Innovation and Technology Expo Invention Competitions. Furthermore, he earned an Outstanding Award in AI and Agriculture, Forestry, Fisheries, and Animal Husbandry at a major AI competition, underscoring the interdisciplinary impact of his work. These accolades reflect not only his technical contributions but also his role in shaping the future of agricultural innovation.

Publication Top Notes

  • On‐chip micro‐pseudocapacitors for ultrahigh energy and power delivery
    Year: 2015
    Citation: 80

  • Identifying images of dead chickens with a chicken removal system integrated with a deep learning algorithm
    Year: 2021
    Citation: 79

  • Non-contact magnetic cantilever-type piezoelectric energy harvester for rotational mechanism
    Year: 2018
    Citation: 61

  • Design and fabrication of a phononic-crystal-based Love wave resonator in GHz range
    Year: 2014
    Citation: 47

  • Laser-induced graphene stretchable strain sensor with vertical and parallel patterns
    Year: 2022
    Citation: 45

  • Low-concentration ammonia gas sensors manufactured using the CMOS–MEMS technique
    Year: 2020
    Citation: 43

  • Metallic glass as a mechanical material for microscanners
    Year: 2015
    Citation: 38

  • Evidence of a Love wave bandgap in a quartz substrate coated with a phononic thin layer
    Year: 2014
    Citation: 31

Conclusion

Assoc. Prof. Dr. Yao-Chuan Tsai has established himself as a leading researcher at the intersection of mechanical engineering, MEMS, and agricultural automation. His educational background, extensive research experiences across Taiwan and Japan, and leadership roles in academia underscore his multidisciplinary expertise. His research interests in micromanufacturing, automation, smart agriculture, and AI applications have led to impactful innovations, including patented technologies and award-winning inventions. With a proven record of publications, invited talks, and recognitions, Assoc. Prof. Dr. Yao-Chuan Tsai contributions extend beyond academic theory into practical solutions that enhance agricultural productivity and sustainability. His achievements make him a highly deserving candidate for recognition in award nominations, reflecting not only his academic excellence but also his broader impact on industry and society through technological innovation.

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

Posted on by ScienceFather

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. Guanghao Huang | Optical sensors Awards | Best Researcher Award

Posted on by ScienceFather

Prof. Guanghao Huang | Optical sensors Awards | Best Researcher Award

Prof. Guanghao Huang, Qingdao University, China

Dr. Guanghao Huang is an Assistant Professor at the Institute for Future, Qingdao University, where he has served since April 2020. He holds a Ph.D. in Electronics Engineering from Pusan National University, South Korea, and previously earned an M.S. in Cogno-Mechatronics Engineering from the same institution. He also holds a B.Eng. in Electronics Engineering from Jilin Institute of Chemical Technology. Dr. Huang’s research focuses on integrated optical sensors, artificial intelligence, brain-computer interfaces (BCI), and functional near-infrared spectroscopy (fNIRS). He has been recognized with multiple best paper awards and a national scholarship from the Chinese Embassy in South Korea. His work has led to several patents in optical waveguide technologies and polarization devices.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award – Dr. Guanghao Huang

Dr. Guanghao Huang exemplifies research excellence in the fields of integrated optical sensors, brain-computer interfaces (BCI), artificial intelligence, and functional near-infrared spectroscopy (fNIRS). With a robust academic trajectory from Pusan National University and professional experience spanning both academia and industry, Dr. Huang is currently serving as an Assistant Professor at the Institute For Future, Qingdao University.

🎓 Education

  • 🧑‍🎓 Ph.D. in Electronics Engineering, Pusan National University, South Korea (2015.03 – 2020.02)

  • 📘 M.S. in Cogno-Mechatronics Engineering, Pusan National University, South Korea (2012.03 – 2014.08)

  • 💻 B.Eng. in Electronics Engineering, Jilin Institute of Chemical Technology, China (2006.09 – 2010.06)

💼 Work Experience

  • 🧑‍🏫 Assistant Professor, Institute for Future, Qingdao University, China (2020.04 – Present)

  • 🔬 Research Associate, Department of Electronics Engineering, Pusan National University (2014.08 – 2015.03)

  • 🛠️ Engineer, Beijing Rijin Automotive Systems Co., Ltd (2010.03 – 2012.01)

🏆 Patents & Achievements

  • 🔧 Apodized Gratings for Polymeric Waveguide Tunable Wavelength Filters (Patent No. 10-1759727, 2017)

  • 🔧 Integrated Optic Polarization Splitter via Total Internal Reflection (Patent No. 10-2018368, 2017)

  • 🔧 Broadband Integrated Optic Polarization Splitters (Patent No. 10-1923956, 2018)

🥇 Awards & Honors

  • 🇨🇳 2018: National Excellent Self-funded Scholarship (Excellence Award), Chinese Embassy in South Korea

  • 🏅 2017: Best Paper Award, 24th Optoelectronics & Optical Communications Conference

  • 🏅 2016: Best Paper Award, 23rd Optoelectronics & Optical Communications Conference

  • 🏅 2015: Best Paper Award, 24th Photonics Conference

  • 🏅 2013: Best Paper Award, 20th Optoelectronics & Optical Communications Conference

Publication Top Notes:

Development and Characterization of an Asymmetric MZI Temperature Sensor Using Polymer Waveguides for Extended Temperature Measurement Scopes

Physiological Noise Filtering in Functional Near-Infrared Spectroscopy Signals Using Wavelet Transform and Long-Short Term Memory Networks

Prof. Mehdi Behzad | Monitoring | Lifetime achievement Award

Posted on by ScienceFather

Prof. Mehdi Behzad | Monitoring | Lifetime achievement Award 

Prof. Mehdi Behzad, Sharif University of Technology, Iran

Professor Mehdi Behzad is a distinguished academic and expert in mechanical engineering at the Sharif University of Technology, Tehran, Iran. He earned his Ph.D. from the University of New South Wales, Australia, in 1995, with a specialization in rotor dynamics and coupled vibrations. With over three decades of academic and industrial experience, Professor Behzad has led pioneering research in vibration analysis, condition monitoring, and fault diagnostics of rotating machinery. He has supervised more than 90 M.Sc. and 11 Ph.D. theses, contributed extensively to national industrial projects, and developed intelligent software solutions for signal processing and machinery health assessment. His professional service includes chairing major national conferences on condition monitoring and maintenance, as well as delivering keynote lectures at international forums such as the CM2024 in Oxford, UK. Professor Behzad’s contributions span academic teaching, applied research, and industrial consultancy, making him a leading figure in the field of vibration analysis and mechanical systems diagnostics.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Lifetime Achievement Award

Prof. Mehdi Behzad is a distinguished academic and industry expert whose lifelong dedication to mechanical engineering, particularly in the field of vibration analysis and rotor dynamics, exemplifies the qualities honored by the Lifetime Achievement Award. His career spans over three decades of impactful teaching, groundbreaking research, industrial collaboration, and academic leadership.

👨‍🎓 Education

📍 Ph.D. in Mechanical Engineering
University of New South Wales, Sydney, Australia – May 1995

  • 🌀 Thesis: Transfer matrix analysis of rotor systems with coupled lateral and torsional vibrations

  • 🧮 Courses: Finite elements, vibration, frequency analysis, lubrication

  • 🧑‍💻 Developed vibration analysis software using Riccati transfer matrix

  • 📄 Published 3 papers on rotor dynamics

📍 M.Sc. in Mechanical Engineering
Sharif University of Technology, Tehran, Iran – May 1989

  • 📘 Thesis: Transfer Function and stability of electrohydraulic servo systems

  • 🧪 Repaired an electrohydraulic servo system for experiments

  • 📚 Advanced studies in control, dynamics, nonlinear vibration

📍 B.Sc. in Mechanical Engineering
Isfahan University of Technology, Iran – Feb 1986

  • 🔧 Broad mechanical engineering training including dynamics, turbomachinery, heat transfer

🧑‍🏫 Academic & Teaching Experience

📍 Professor – Sharif University of Technology (1994–2025)

  • 👨‍🔬 Supervised 90+ M.Sc. and 11 Ph.D. theses

  • 📘 Taught undergrad & grad courses in vibration, rotor dynamics, control, mathematics

  • 🛠 Developed curricula & practical labs

  • 🧑‍🏭 Founded training centers, oversaw solid mechanics lab & naval division

  • 📜 Organized nationwide Condition Monitoring & Fault Diagnosis conference (2007–2024)

🧪 Research & Industrial Experience

📍 University of New South Wales (1990–1995)

  • 📊 Built and used data acquisition systems

  • 🔁 Solved numerical issues in transfer matrix methods

  • 📝 Wrote reports for Sydney Electricity & Pacific Power

📍 Sazeh Consultant, Tehran (1988–1990)

  • 🛠 Vibration analysis for industrial structures

  • 🧾 Created guidelines for thermal stress, piping design, and actuator testing

📍 Industrial Consultant (1996–2024)

  • 🏭 Completed 50+ major vibration and condition monitoring projects

  • 🔍 Diagnosed faults in turbines, compressors, cement mills, pumps, and more

  • 🖥 Developed intelligent diagnostic software

  • 🌊 Assessed vibration in hydropower & petrochemical plants

  • 🚂 Involved in projects with railways, powerplants, and petrochemical complexes

🏆 Achievements, Awards & Honors

🎤 Keynote & Invited Speaker

  • 📍 20th International Conference on Condition Monitoring and Asset Management (CM2024), Oxford, UK

    • 🗣 “Challenges in Condition Monitoring”

    • 🎙 “Vibration Features for Machinery Condition Monitoring”

🏅 Leadership Roles

  • 🎖 Chairman of Iran Maintenance Association (2007–2012)

  • 🧩 Research Deputy, Sharif University – Mechanical Eng. Dept.

  • 🎓 Director, University Center for Training (since 2010)

📘 Curriculum Innovator & Educator

  • 🛠 Founded and led numerous industrial courses & workshops on:

    • Vibration Analysis Levels 1 & 2

    • Rotor Dynamics

    • API 687 Repair Technologies

    • Reliability Centered Maintenance

    • Shaft Alignment

Publication Top Notes:

CITED:219
CITED:118
CITED:103
CITED:73
CITED:66
CITED:65

Prof. Kheibar Dashtian | Sensing | Best Researcher Award

Posted on by ScienceFather

Prof. Kheibar Dashtian | Sensing | Best Researcher Award 

Prof. Kheibar Dashtian, Materials and Energy Research Center, Iran

Dr. Kheibar Dashtian, Ph.D. in Analytical Chemistry from Iran University of Science and Technology, is a renowned expert in photo/spectro-electrochemistry, stimuli-responsive nanomaterials, and related fields. With over 150 ISI-indexed publications and an impressive h-index of 53, Dr. Dashtian is highly regarded in the scientific community, having delivered 15 invited seminars and contributed 15 book chapters to scientific literature. He has been recognized with several prestigious awards, including the 24th Kharazmi Youth Festival Award and a ranking among the top 57 leading scientists in Iran in 2023. His contributions to research have earned him recognition as a Highly Cited ISC Scientist and ISI Scientist. Dr. Dashtian is a visiting lecturer at Iran University of Science and Technology and Yasouj University, and he has supervised 45 MSc graduates and 10 PhD graduates. With a keen focus on material development and device fabrication, he has developed systems such as gas sensing devices, microfluidic platforms, and photoelectrochemical systems. Additionally, he holds two patents pending and has made significant contributions to intellectual property. Dr. Dashtian is also actively involved in numerous research collaborations and has completed five postdoctoral research fellowships. He serves on the editorial boards of four ISI-indexed scientific journals and has reviewed over 300 scientific papers.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

🏆 Summary of Suitability for Best Researcher Award

Dr. Kheibar Dashtian demonstrates extraordinary merit as a researcher in analytical chemistry, with a strong record of scientific innovation, publication, and academic leadership. His accomplishments reflect a rare blend of depth, impact, and consistency across various dimensions of modern research. The following highlights support his high suitability for the Research for Best Researcher Award.

Education 🎓:

  • Ph.D. in Analytical Chemistry
    Yasouj University, Iran (Sep 2014 – Jun 2019)
    Research in nanomaterial preparation and applications in sensing and wastewater treatment.
    Thesis: “Design and preparation of photoelectrochemical biosensors based on the junction of optically active nanostructured semiconductors and polymers for the determination of biological compounds and Cr(VI) ion.”

  • M.Sc. in Analytical Chemistry
    Iran University of Science and Technology, Tehran, Iran (Sep 2012 – Sep 2014)
    Research on the synthesis, surface modification, and applications of mesoporous SBA-15 for optical sensors.
    Thesis: “Design of optical sensors for determination and removal of heavy metals (Ce, La, Pb, Pr) from aqueous media.”

  • B.Sc. in Applied Chemistry
    Iran Payam Noor University, Gachsaran Branch, Iran (Sep 2008 – Feb 2011)
    Research on Chemistry and Oil Technology.

Work Experience 💼:

  • Visiting Lecturer
    Iran University of Science and Technology & Yasouj University
    Delivering lectures in the field of analytical chemistry and nanomaterials.

Achievements 🏆:

  • Publications: Over 150 ISI-indexed articles with an h-index of 53, i10-index of 117, and citations exceeding 7,700.

  • Presentations: Delivered 15 invited seminars at national and international conferences.

  • Book Chapters: Contributed 15 invited chapters to scientific books.

  • Peer Review: Reviewed over 300 scientific papers for more than 100 ISI-indexed journals.

  • Supervision: Advisor to 45 MSc graduates and 10 PhD graduates.

  • Research Collaboration: Involved in 5 major research projects.

Awards & Honors 🏅:

  • 24th Kharazmi Youth Festival Award 🏆

  • Ranked among the top 57 leading scientists in Iran (2023) 🇮🇷

  • Highly Cited ISC Scientist (Top 1%, ESI-recognized, 2019–2023) 🌟

  • Highly Cited ISI Scientist (Top 2%, ESI-recognized, 2019–2023) 🌟

  • Researcher of the Year award recipient in Yasouj, Iran 🥇

Intellectual Property 💡:

  • 2 patents pending related to gas sensing devices, electrospray pyrolysis systems, and microfluidic platforms.

Editorial Roles 📚:

  • Editorial board member of 4 ISI-indexed scientific journals.

  • Referee for scientific papers across various journals.

Publication Top Notes:

Carbon dot-ZIF-67-infused tragacanth hydrogel films: leveraging tunable luminescence through displacement mechanisms for anthrax detection

Recent advancements in biosensors for diagnosis of ovarian cancer: Analytical approaches

Biological Ce/Fe-metal organic framework multifunctional nanozyme-based colorimetric sensor array for multi-analyte detection in human sweat

Transformative personalized oxalate biomarker analysis through a wrist-worn microneedle device integrated with duplex nanozyme toolbox

Molecularly imprinted polymer based on MIL-101 (Cr) MOF incorporated polyvinylidene for selective adsorption and separation dye with improved antifouling properties

Dispersive micro-solid phase extraction coupled with spectrophotometric using (MgFe CLDH)/GO magnetically separable sorbent for pre-concentration of anionic food dyes in water samples

CoMoO4 nano-architecture-based supercapacitors: Tunable properties, performance optimization, and prospective applications

Dr. Liu Suiyang | Sensor Arrays | Best Researcher Award

Posted on by ScienceFather

Dr. Liu Suiyang | Sensor Arrays | Best Researcher Award 

Dr. Liu Suiyang, Xi’an University of Technology, China

Liu Suiyang is from Xianyang, Shaanxi Province, China. She received her B.S. and M.S. degrees in Integrated Circuit Engineering from Xi’an University of Technology in 2019 and 2022, respectively. From 2022 to 2024, she was a Ph.D. student with the Ultra-Large Scale Integrated Circuits Laboratory at Xi’an University of Technology. Since 2021, she has authored 13 articles and contributed to nine inventions. Her research interests include large-format image sensors, high dynamic-range pixels, high-speed column buffers, organic photodetectors, and 3D integrated circuits. Ms. Liu was recognized as an Outstanding Graduate of Xi’an University of Technology in 2022 and received the Eighth Shaanxi Province Graduate Innovation Achievement Award in 2024.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award – Liu Suiyang

Liu Suiyang is a strong candidate for the Best Researcher Award due to her notable academic achievements and contributions to the field of integrated circuit engineering. Her research in large-format image sensors, high dynamic-range pixels, high-speed column buffers, organic photodetectors, and 3D integrated circuits demonstrates a high level of technical expertise and innovation.

🎓 Education

  • B.S. in Integrated Circuit Engineering – Xi’an University of Technology (2019)

  • M.S. in Integrated Circuit Engineering – Xi’an University of Technology (2022)

  • Ph.D. Student in Ultra-Large Scale Integrated Circuits Laboratory – Xi’an University of Technology (2022–2024)

💼 Work & Research Experience

  • Ph.D. Student at Ultra-Large Scale Integrated Circuits Laboratory, Xi’an University of Technology (2022–2024)

  • Author of 13 Research Articles (Since 2021) ✍️📄

  • Holder of 9 Invention Patents (Since 2021) 🏅🔬

  • Research Focus:

    • Large-format image sensors 📷

    • High dynamic-range pixels 🌟

    • High-speed column buffer ⚡

    • Organic photodetectors 🏭

    • 3D integrated circuits 🏗️

🏆 Awards & Honors

  • Outstanding Graduate of Xi’an University of Technology (2022) 🎖️

  • Eighth Shaanxi Province Graduate Innovation Achievement Award (2024) 🏅💡

Publication Top Notes:

Synchronous Driving Method for Stitching Pixel Arrays Based on an Adaptive Correction Technique

High Dynamic Pixel Circuit Based on Variable Integral Capacitance

Inverted ternary OPD based on PEIE

Inverted ternary OPD based on PEIE

Prof. Dr. Makram Fakhri | Photodetectors Awards | Best Faculty Award

Posted on by ScienceFather

Prof. Dr. Makram Fakhri | Photodetectors Awards | Best Faculty Award 

Prof. Dr. Makram Fakhri, University of Technology-Iraq, Iraq

Dr. Makram A. Fakhri is a distinguished professor and researcher in the field of Nano Photonic Crystal Lasers with a strong background in Optoelectronic Engineering. He earned his Ph.D. in Nano Photonic Crystal Laser Engineering from INEE, UniMAP, Malaysia, in 2016, following an M.Sc. in Optoelectronic Engineering (2007) and a B.Sc. in Electrical and Electronics Engineering (2001) from the University of Technology (UOT), Baghdad, Iraq. Dr. Fakhri has held various academic and administrative positions at the University of Technology, Baghdad, including serving as a Lecturer (1994-2017) and currently as a Professor and Assistant Dean for Scientific Affairs (since 2020). His research expertise spans nano-photonics, waveguide structures, optical materials, and alternative energy sources, with a significant impact in materials science and laser applications.

Professional Profile:

SCOPUS

ORCID

GOOGLE SCHOLAR

Suitability of Dr. Makram A. Fakhri for the Best Faculty Award

Dr. Makram A. Fakhri is a highly distinguished academic and researcher in Nano Photonic Crystal Lasers, Optoelectronics, and Materials Science, making him an outstanding candidate for the Best Faculty Award.

🎓 Education & Work Experience

  • Education:

    • 🎓 Ph.D. in Nano Photonic Crystal Laser Engineering – INEE, UniMAP, Malaysia (2016).
    • 🎓 M.Sc. in Optoelectronic Engineering – Laser & Optoelectronic Eng. Dept, UOT, Baghdad (2007).
    • 🎓 B.Sc. in Electrical & Electronic Engineering – UOT, Baghdad, Iraq (2001).

  • Academic Experience:

    • 🏛️ Lecturer (Ph.D.) – University of Technology (1994-2017) | Full-Time.
    • 👨‍🏫 Professor & Assistant Dean for Scientific Affairs – University of Technology (Since 2020).

🔬 Research & Achievements

  • 📊 H-index: Google Scholar (37) | Scopus (35) | Publons (28).
  • 📜 Editorial Board Member – International Journal of Nanoelectronics and Materials (Scopus & WoS Indexed).
  • 🌍 Professional Memberships:
    • IEEE (Institute of Electrical and Electronics Engineers).
    • Optical Society of America (OSA).
    • Iraqi Engineers Syndicate.
    • Association of Alternative Energy Sources.
    • Association of Laser & Optical Electronics.
    • Association of University Lecturers.

🏆 Awards & Honors

  • 🥇 Gold Medal – Iraqi Sovereign Festival (2009) 🏅 (Design & fabrication of PLD system powered by solar cells).
  • 🥈 Silver Medal – Iraqi Sovereign Festival (2010, 2011).
  • 🥈 Multiple Silver Medals (2014-2016) – UniMAP Research & Innovation Exhibitions.
  • 🏆 Second Winner – Iraqi Science Day Award (2016) 🏅 (Best research publication in engineering specialties).
  • 📖 4th Highest Publishing Researcher – UOT (2019).
  • 🌍 Top 2% Scientist in the World – Stanford University Rankings (2019-2022).
  • 🏅 University of Technology Medal – (2021).

Publication Top Notes:

High-performance n-V2O5/p-Si heterojunction photodetector prepared by pulsed laser deposition: role of laser fluence

Selective detection of alpha synuclein amyloid fibrils by faradaic and non-faradaic electrochemical impedance spectroscopic approaches

Synthesized aluminum gallium nitride/porous-Si thin films at different compositions by pulsed laser deposition method

Correction to: Substrate selection and characterization in infrared detector design for sorting systems (Journal of Optics, (2024), 10.1007/s12596-024-02413-9)

Effect of different laser wavelengths on the optical properties of GaN/PSi and Al2O3/PSi thin films using the pulse laser deposition method

Ag@WO3 core–shell nanocomposite for wide range photo detection

 

 

Prof. Dr Cornelia Amalinei | Medical Detector | Best Researcher Award

Posted on by ScienceFather

Prof. Dr Cornelia Amalinei | Medical Detector | Best Researcher Award 

Prof. Dr Cornelia Amalinei, Grigore T. Popa University of Medicine and Pharmacy in Iași, Romania 

Cornelia Amalinei is a Romanian professor, habilitated PhD coordinator, and pathologist at the University of Medicine and Pharmacy “Grigore T. Popa” in Iași, Romania. She holds an MD and a Ph.D. in Medicine from the same institution and has extensive experience in histology, pathology, and neuroscience. With a distinguished academic career, she has served in various teaching and research roles and currently works as a pathologist at the Institute of Legal Medicine in Iași. Her research focuses on malignancy markers, gynecological cytology, forensic diagnosis, and molecular pathways in disease progression. She has coordinated and participated in multiple international research projects and has received prestigious awards, including the Pio Sodalizio Dei Piceni Prize. A member of numerous professional societies, she is also an organizer and invited speaker at international medical conferences.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

ORCID

Summary of Suitability Best Researcher Award

Cornelia Amalinei is a highly qualified researcher with extensive experience in pathology, histology, and medical research. Her contributions span across academia, diagnostics, and international collaborations, making significant advancements in cancer prognosis, gynecological pathology, and forensic diagnosis. She has been recognized with prestigious awards, served as an invited speaker, and actively participated in scientific committees. Her research output includes high-impact publications and leadership roles in multiple research projects, reflecting her strong academic influence. Based on her credentials and impact, she is a highly suitable candidate for the Best Researcher Award.

🎓 Education:

  • Physician Degree (M.D.) – University of Medicine and Pharmacy, Iasi, Romania (1983-1989)
  • Physician Doctor (Ph.D.) – University of Medicine and Pharmacy “Grigore T. Popa”, Iasi, Romania (1993-1997)
  • Pathologist Certification – University of Medicine and Pharmacy “Grigore T. Popa”, Iasi, Romania (1992-1994)

🏥 Work Experience:

  • Professor & Habilitated Ph.D. Coordinator – Histology Department, University of Medicine and Pharmacy “Gr. T. Popa”, Iasi, Romania (2013 – Present)
  • Associate Professor – Histology Department, University of Medicine and Pharmacy “Gr. T. Popa”, Iasi, Romania (2002 – 2013)
  • Lecturer & Assistant Professor – Histology Department, University of Medicine and Pharmacy “Gr. T. Popa”, Iasi, Romania (1991 – 2002)
  • Pathologist – Pathology Laboratory, Institute of Legal Medicine, Iasi, Romania (2008 – Present)
  • Pathologist – Obstetrics and Gynecology Clinic Elena Doamna Hospital, Iasi, Romania (1995 – 2008)

🏆 Awards & Honors:

  • 🎖️ Prize Pio Sodalizio Dei Piceni – Awarded by Adriatic Society of Pathology, Italy (2007)
  • 📢 Invited Speaker & Scientific Committee Member – 1st International Congress of the Kosova Association of Oncology (2004)
  • 🎤 Organizer & Invited Speaker – Gynecological Cytology 4th EFCS Joint Webinar, 2024

🔬 Research & Achievements:

  • Project Coordinator – Digital Transformation of Histology & Histopathology (2022-2024)
  • Research in Diagnosis & Prognosis Markers in Malignancies
  • Forensic Pathology & Gynecological Cytology Expertise
  • Molecular Pathways in Histogenesis & Carcinogenesis
  • Member of Multiple Prestigious Medical & Pathology Societies

Publication Top Notes:

Matrix metalloproteinases involvement in pathologic conditions

CITED:400

The value of PAX8 and WT1 molecules in ovarian cancer diagnosis

CITED:261

Immunohistochemical analysis of steroid receptors, proliferation markers, apoptosis related molecules, and gelatinases in non-neoplastic and neoplastic endometrium

CITED:65

Perirenal adipose tissue—current knowledge and future opportunities

CITED:63

Healing process and laser therapy in the superficial periodontium: a histological study

CITED:54

Assist. Prof. Dr. Patima Nizamidin | Waveguide Sensor Awards | Best Researcher Award

Posted on by ScienceFather

Assist. Prof. Dr. Patima Nizamidin | Waveguide Sensor Awards | Best Researcher Award

Assist. Prof. Dr. Patima Nizamidin, Xinjiang University, China

Patima Nizamidin is a researcher in analytical chemistry specializing in optical waveguide gas sensors, metal-organic framework (MOF) thin films, and the adsorption and transformation of environmental pollutants. She earned her Ph.D. from Xinjiang University, where she has been working in the College of Chemistry since September 2013. Her research focuses on developing advanced gas sensing materials and investigating adsorption kinetics. She has led multiple research projects funded by the National Natural Science Foundation of China and the Xinjiang Uygur Autonomous Region. Patima has published extensively in high-impact journals, contributing significant advancements in optical gas sensing technologies.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Patima Nizamidin

Patima Nizamidin is a highly qualified candidate for the Best Researcher Award based on her strong academic background, extensive research contributions, and impact in analytical chemistry and optical gas sensing.

🎓 Education & Work Experience

  • Ph.D. in Analytical Chemistry from Xinjiang University, China.
  • 👩‍🏫 Work Experience:
    • 2013.09 – Present: Working in the College of Chemistry, Xinjiang University, China.

🏆 Achievements & Research Contributions

  • 🔬 Research Interests:

    • Optical waveguide gas sensors.
    • Metal-organic framework (MOF) thin films and gas adsorption mechanisms/kinetics.
    • Adsorption and transformation of environmental pollutants.

  • 📑 Scientific Research Projects:

    • National Natural Science Foundation of China (NSFC) Grants:
      • (Grant No. 22464018) (2025/01-2028/12).
      • (Grant No. 22164019) (2022/01-2025/12).
    • 🏅 Natural Science Foundation of Xinjiang Uygur Autonomous Region (2021/06-2024/06).
    • 🎓 Youth Foundation of the Education Department of Xinjiang Uygur Autonomous Region (2019/09-2021/07).

  • 📚 Notable Publications:

    • Published multiple high-impact journal papers in Sensors & Actuators B: Chemical, Advanced Optical Materials, Optical & Laser Technology, Journal of Chemical Physics, and more.
    • Research focuses on MOF-based optical gas sensors, optical waveguides, and gas adsorption studies.

🏅 Awards & Honors

  • 🔬 Recognized for outstanding research contributions in the field of analytical chemistry and gas sensing technology.
  • 🏆 Recipient of prestigious NSFC grants for cutting-edge research in optical gas sensing.
  • 🎖 Multiple high-impact publications, contributing significantly to the advancement of MOF-based sensors.

Publication Top Notes:

A Nanoporous Covalent Organic Framework Film-Based Optical Waveguide Sensor for H2S Gas Detection

Rapid development of Nb-BIPA-TC-MOF film based optical wave- guides for the ‘turn-on-off’ detection of acidic-basic gases

Fast fabrication, gas sense characteristics and kinetics of cubic Ti-BIPA-TC-MOF film composite optical waveguides

Gas sensing properties of a maghemite-coupled porphyrin thin film–based optical waveguide sensor