Mr. Enrico Bargagna | Quantum Transduction | Best Scholar Award

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Mr. Enrico Bargagna | Quantum Transduction | Best Scholar Award 

Mr. Enrico Bargagna | Quantum Transduction | University of Pisa | Italy

Mr. Enrico Bargagna is a distinguished researcher and Post-graduate Research Fellow at the University of Pisa in the Department of Civil and Industrial Engineering, specializing in sensing technology with a particular focus on hybrid designs for quantum transduction. His research interests span mechanical engineering, precision sensor design, quantum transduction systems, and interdisciplinary applications of advanced materials in high-performance sensing devices. Enrico’s academic journey includes a Ph.D. in Mechanical Engineering from the University of Pisa, following his Master’s and Bachelor’s degrees in the same field from the same institution, reflecting a rigorous foundation in engineering principles, experimental methods, and computational modeling. Throughout his academic and professional career, he has been involved in multiple international research collaborations, working closely with interdisciplinary teams to develop innovative sensor designs and optimize transduction mechanisms. His research skills include experimental design, simulation and modeling, data analysis, sensor optimization, and integration of quantum technologies with mechanical systems. Enrico has made significant contributions to peer-reviewed journals, with notable publications in Sensors and other reputed platforms, demonstrating his ability to address complex engineering challenges and advance the field of sensing technology. He actively engages in professional communities, holding memberships in IEEE and participating in mentoring programs, workshops, and collaborative initiatives that support knowledge dissemination and the development of emerging engineers. His professional experience highlights leadership in research projects, including the design and optimization of hybrid quantum transduction systems, showcasing his capability to combine theoretical insights with practical applications.

Professional Profile: ORCID 

Selected Publications

  1. Bargagna, E., Delgado, J., Wang, C., Gonin, I., Yakovlev, V. P., Neri, P., Passarelli, D., & Zorzetti, S. (2025). Design and Optimization of a Hybrid Design for Quantum Transduction. Sensors, 25(10), 6365. Citation: 12

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

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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.

Assoc. Prof. Dr. Dinh Khoi Phan | Ultrasonic Sensor Awards | Best Researcher Award

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Assoc. Prof. Dr. Dinh Khoi Phan | Ultrasonic Sensor Awards | Best Researcher Award

Assoc. Prof. Dr. Dinh Khoi Phan, Can Tho University, Vietnam

Dr. Dinh Khoi Phan is an Associate Professor and Dean of the Faculty of Finance and Banking at Can Tho University, Viet Nam, where he has been actively contributing to academia since 2003. He holds a Ph.D. in Finance from Lincoln University, New Zealand (2013), a Master of Management from the University of the Philippines (2003), and a B.Sc. in Finance from Can Tho University (1999). His research spans rural finance, economic development, development finance, banking, behavioral finance, and cryptocurrency. Dr. Phan has led and participated in numerous government-funded research projects focused on agricultural policy, SME support, risk management in rice crop insurance, and smart city development in the Mekong River Delta. He is also the author and co-author of several books and book chapters addressing financial systems and socio-economic development in Vietnam. Through his leadership, academic work, and practical contributions, Dr. Phan has become a prominent figure in Vietnam’s financial research and policy landscape.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award – Dr. Dinh Khoi Phan

Dr. Dinh Khoi Phan is an accomplished scholar and academic leader whose research spans finance, rural development, and economic transformation in the Mekong River Delta. With a Ph.D. in Finance from Lincoln University, New Zealand, and over two decades of academic and policy-driven research experience, he exemplifies the qualities sought in a Best Researcher Award recipient.

🎓 Education

  • 📘 Ph.D. in Finance – Lincoln University, Canterbury, New Zealand (April 2013)

  • 📗 Master of Management – University of the Philippines, Los Baños (June 2003)

  • 📕 B.Sc. in Finance – Can Tho University, Viet Nam (September 1999)

👨‍🏫 Work Experience

  • 🧑‍🏫 Associate Professor & Dean, Faculty of Finance and Banking, Can Tho University (2020–present)

  • 📚 Lecturer, Department of Finance and Banking, Can Tho University (2012–present)

  • 📖 Lecturer, Department of Economics, Can Tho University (2005–2012)

  • 📖 Lecturer, Agricultural Economics, Can Tho University (2003–2005)

  • 🔬 Research Assistant & 👨‍🏫 Teaching Assistant, Commerce Division, Lincoln University (2011)

🏆 Achievements & Recognitions

  • 📖 Published Author of multiple Vietnamese books on finance and economics

  • 📘 Led and contributed to 9 major research projects focused on rural development, insurance, SMEs, and smart city planning in the Mekong Delta

  • 💼 Policy Influence through development strategies funded by national and provincial governments

  • 🌱 Specialized in microfinance, economic development, and agricultural risk management in Southeast Asia

Publication Top Notes:

Dirichlet Mixed Process Integrated Bayesian Estimation for Individual Securities

Predictors of Return on Assets and Return on Equity for Banking and Insurance Companies on Vietnam Stock Exchange

Asymmetries in responses of commercial banks in a transitional economy to countercyclical monetary policy: The case of Romania

The Transmission Mechanism of Russian Central Banks Countercyclical Monetary Policy since 2011: Evidence from the Interest Rate Pass-Through

The impact of microcredit on rural households in the Mekong River Delta of Vietnam

Formal and informal rural credit in the Mekong River Delta of Vietnam: Interaction and accessibility

 

Dr. Gururaj Kudur Jayaprakash | Electroanalysis | Best Researcher Award

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Dr. Gururaj Kudur Jayaprakash | Electroanalysis | Best Researcher Award 

Dr. Gururaj Kudur Jayaprakash, Nitte Meenakshi Institute of Technology, India

Dr. Gururaj Kudur Jayaprakash is an accomplished electrochemist and materials scientist, currently serving as an Assistant Professor in the Department of Chemistry at Nitte Meenakshi Institute of Technology (NMIT), affiliated with Visvesvaraya Technological University, India. He holds a Ph.D. in Materials Science from the University of Guadalajara, Mexico, where his doctoral research focused on improving charge transfer kinetics through carbon electrode modifications for advanced voltammetric applications. With a strong foundation in industrial chemistry and biotechnology, Dr. Gururaj has held prestigious academic and research positions at Tsinghua University in China, Shoolini University, and multiple research institutions in India and Mexico. His work spans across electrocatalysis, quantum electrochemistry, and environmental sensing, supported by major grants from the Department of Science and Technology and the Ministry of Electronics & IT, Government of India. Recognized globally, he is among the top 2% cited researchers (Stanford University, Elsevier, 2023) and a recipient of the DRDO Dare to Dream Award. Dr. Gururaj actively contributes to the scientific community through peer-review roles for numerous high-impact journals and has mentored several postgraduate and undergraduate students. His interdisciplinary expertise bridges theoretical modeling, quantum chemistry, and practical electroanalytical techniques, making significant strides in sensor development and pollutant detection.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award

Dr. Gururaj Kudur Jayaprakash stands out as an exceptional candidate for the Best Researcher Award. With a rich academic background, significant research contributions, and a consistent record of excellence in electrochemistry, material science, and quantum chemistry, Dr. Jayaprakash has made groundbreaking strides in his field. His research in modifying carbon electrodes and understanding electrocatalysis, along with his innovative work in the realm of quantum chemistry and electrode materials, underscores his potential to drive forward new technological advancements.

Education 🎓

  • Ph.D. in Material Science (2013–2017)
    Department of Material Science, University of Guadalajara, Guadalajara, Mexico
    Grade: 92.67 (Mexican grade)
    Thesis: Modifying carbon electrodes to improve charge transfer kinetics applications in voltammetry and its modeling
    Supervisor: Professor Roberto Flores Moreno

  • M.Sc. in Industrial Chemistry (2009–2011)
    Department of Industrial Chemistry, Kuvempu University, Shankaraghatta, India
    GPA: 7.67 (Indian grade), First Class with Distinction (O grade)
    Thesis: Detection of norepinephrine in presence of ascorbic acid and uric acid using TX-100 surface immobilized carbon paste electrode: A cyclic voltammetric study
    Supervisor: Associate Professor B. E. Kumara Swamy

  • B.Sc. (Biotechnology + Zoology + Chemistry) (2006–2009)
    Tumkur University, Tumkur, India
    GPA: 8.46 (Indian grade), First Class with Distinction (O grade)

Work Experience 💼

  • Assistant Professor (2022/04 – present)
    Department of Chemistry, NMIT, Visvesvaraya Technological University, India

  • Assistant Professor (2019/12 – 2022/03)
    School of Chemistry, Shoolini University, Bajhol, India

  • Postdoctoral Researcher (2017/09 – 2019/09)
    Department of Chemistry, Tsinghua University, Beijing, China

  • Research Assistant (2016/09 – 2017/02)
    Theoretical Chemistry Laboratory, Department of Chemistry, University of Guadalajara, Guadalajara, Mexico

  • Asistente de Profesor (2015/01 – 2016/01)
    Laboratory Chemistry for Engineers, University of Guadalajara, Guadalajara, Mexico

  • Research Assistant (2013/05 – 2013/08)
    Theoretical Chemistry Laboratory, Department of Chemistry, University of Guadalajara, Guadalajara, Mexico

  • Project Graduate Trainee (2012/02 – 2013/02)
    Council for Scientific and Industrial Research, National Aerospace Laboratories, Bengaluru, India

  • Research Assistant (2011/06 – 2012/02)
    Kuvempu University, Shankaraghatta, Karnataka, India

Awards & Honors 🏆

  • Top 2% Cited Researcher (October 2023)
    Listed from Stanford University, Elsevier

  • D.R.D.O Dare to Dream 3.0 Award (October 2022)
    Defence Ministry, Defence Research and Development Organisation, Govt. of India

  • Teachers Associateship for Research Excellence (December 2021)
    Department of Science and Technology-SERB, Govt. of India

  • CONACyT Scholarship (August 2013 – August 2016)
    Government of Mexico for Doctoral Studies in Material Science

  • Postdoctoral Scholarship (2017 – present)
    Tsinghua University, Beijing, P.R. China

  • Gold Medal (December 2017)
    Vasavi Union, Karnataka, India for Doctoral Degree Appreciation

Publication Top Notes:

CITED:165
CITED:91
CITED:75
CITED:61
CITED:54
CITED:52
CITED:52

Assist. Prof. Dr. B. Shanmugapriya | Sensor Analysis | Best Researcher Award

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Assist. Prof. Dr. B. Shanmugapriya | Sensor Analysis | Best Researcher Award 

Assist. Prof. Dr. B. Shanmugapriya, Kalaimahal College of Arts and Science, India

Dr. B. Shanmugapriya is a dedicated physicist specializing in nanoscience, materials science, crystal growth, and gas sensors. She earned her Ph.D. in Physics from Annamalai University in 2017, focusing on the structural, morphological, optical, and photocatalytic properties of pure and metal-ion-doped In₂O₃ nanostructures synthesized by the hydrothermal method. Prior to that, she completed her M.Phil. in Physics at Bharathidasan University, where she studied the growth and characterization of pure potassium bromide crystals and their nonlinear optical properties. She also holds an M.Sc. and B.Sc. in Physics from the same university.

Professional Profile:

SCOPUS

ORCID

Summary of Suitability for Best Researcher Award – Dr. B. Shanmugapriya

Dr. B. Shanmugapriya is a strong candidate for the Research for Best Researcher Award based on her academic background, research contributions, technical expertise, and experience in physics and material science.

Education 🎓

  • Ph.D. in Physics (2012–2017) – Annamalai University
    Thesis: Structural, Morphological, Optical, and Photocatalytic Properties of Pure and Metal Ions (Zn²⁺, Ga³⁺, Ti³⁺) Doped In₂O₃ Nanostructures Synthesized by Hydrothermal Method
    Advisor: Dr. M. Shanthi

  • M.Phil. in Physics (2006–2008) – Bharathidasan University
    Thesis: Growth and Characterization of Pure Potassium Bromide Crystal at Room Temperature and Study of Their NLO Properties
    Advisor: Mr. V. Sureshkumar

  • M.Sc. in Physics (2004–2006) – Bharathidasan University
    Thesis: Growth and Characterization of Pure Ammonium Dihydrogen Orthophosphate at Various Temperatures
    Advisor: Mr. V. Sureshkumar

  • B.Sc. in Physics (2001–2004) – Bharathidasan University

Work Experience 🏫

  • Demonstrator – B.Sc. & M.Sc. Laboratory Teaching
  • Research expertise in Nanoscience, Materials Science, Crystal Growth, and Gas Sensors
  • Skilled in handling advanced instruments such as:
    • X-Ray Diffraction (XRD)
    • X-ray Photoelectron Spectroscopy (XPS)
    • Scanning Electron Microscopy (SEM)
    • Transmission Electron Microscopy (TEM)
    • UV Spectroscopy
    • Photoluminescence Spectroscopy (PL)
    • Thermogravimetric Analysis (TG-DTA)
    • Spray Pyrolysis and Spin Coating for Thin Film Deposition

Achievements & Recognitions 🏆

  • Extensive research in nanomaterials and photocatalysis
  • Conducted training programs on advanced spectroscopic and microscopy techniques
  • Published several research papers in high-impact journals
  • Strong expertise in instrumentation and materials characterization
  • Fluent in Tamil (Native) and English (Fluent in speaking & writing)

Publication Top Notes:

Enhancement of photocatalytic degradation of methylene blue dye using Ti<sup>3+</sup> doped In<sub>2</sub>O<sub>3</sub> nanocubes prepared by hydrothermal method

Effect of reaction time on structural, morphological, optical and photocatalytic properties of copper oxide (CuO) nanostructures

Hydrothermal synthesis of Ga-doped In 2 O 3 nanostructure and its structural, optical and photocatalytic properties

Synthesis, characterization and photocatalytic activity of pure and Zn-doped In2O3 nanostructures

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

 

Amir Fayyaz | Sensor Characterization | Best Researcher Award

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Dr. Amir Fayyaz | Sensor Characterization | Best Researcher Award

Assistant prof. at National center for Physics, Islamabad, Pakistan

Amir Fayyaz is a dedicated researcher and educator in the field of physics, specializing in laser-induced breakdown spectroscopy (LIBS) and elemental analysis. Based in Islamabad, Pakistan, he has amassed extensive experience across various academic and research institutions, including The University of Arizona and Quaid-i-Azam University. His contributions encompass advanced spectroscopic techniques for chemical analysis, focusing on rare earth elements and high-entropy alloys. Amir is also an active participant in national and international conferences, where he shares his findings and innovations. His commitment to education is evident through his roles as a teaching assistant and lecturer, where he inspires the next generation of physicists.

Profile:

Strengths for the Award:

  1. Extensive Research Experience: Amir Fayyaz possesses a robust background as a research associate, assistant, and scholar in prestigious institutions, including The University of Arizona and Quaid-i-Azam University. His hands-on experience with advanced techniques such as Laser-Induced Breakdown Spectroscopy (LIBS) and time-of-flight mass spectrometry (TOF-MS) demonstrates his technical expertise.
  2. Diverse Skill Set: His proficiency in various analytical techniques, including EDX, XRF, and chemometric analyses, showcases his versatility. He has successfully conducted elemental analysis of rare earth elements and high entropy alloys, positioning him at the forefront of current scientific inquiries.
  3. Publication Record: Amir has a commendable publication record with multiple articles in reputable journals, highlighting his contributions to the field. His work on LIBS-assisted PCA and elemental analysis of rare earth ores is particularly noteworthy.
  4. Conference Engagement: His active participation in national and international conferences underscores his commitment to sharing knowledge and collaborating with the scientific community. Winning a best presentation award at a prestigious conference further validates his research impact.
  5. Teaching Experience: Amir has demonstrated his capability to convey complex concepts effectively as a teaching assistant and lecturer. This dual role as a researcher and educator enhances his profile, as it reflects his ability to mentor future scientists.
  6. Research Funding: Securing funding for multiple research projects indicates his research proposal skills and the trust of funding bodies in his capabilities. This experience is crucial for leading significant research initiatives.

Areas for Improvement:

  1. Broader Research Collaboration: While Amir has engaged in several projects, expanding his collaborative efforts across different disciplines could enhance his research impact and foster innovative solutions to complex problems.
  2. Outreach Activities: Increasing involvement in outreach or public engagement initiatives could raise awareness of his research and its societal implications, thereby enhancing the visibility of his work.
  3. Diversity of Research Topics: Exploring additional areas outside his current focus could enrich his portfolio and open avenues for interdisciplinary research.
  4. Grant Writing Skills: Further developing grant writing skills will be beneficial for securing more funding opportunities and leading larger research projects.

Education:

Amir Fayyaz holds a Master’s degree in Physics from Quaid-i-Azam University, Islamabad, where he excelled in research on atomic and molecular physics. His academic journey began with a Bachelor’s degree in Physics, laying a strong foundation in theoretical and experimental physics. His education is complemented by various workshops and seminars that enhance his research skills, particularly in spectroscopy and materials science. Amir has been awarded a Departmental Fellowship and an International Research Support Initiative Scholarship, reflecting his academic prowess and dedication to advancing the field of physics.

Experience:

Amir’s professional experience spans multiple prestigious institutions. As a Research Associate at The University of Arizona, he optimized 2D LIBS mapping systems and conducted chemical analyses of ores. His previous roles as a Research Assistant at Quaid-i-Azam University and as a Visiting Research Scholar at the National Center for Physics involved calibrating LIBS systems and conducting elemental analyses. Amir has also served as a Teaching Assistant and Specialist Lecturer, where he taught various undergraduate physics courses. His work has been recognized through presentations at numerous conferences, showcasing his research on LIBS and its applications.

Awards and Honors:

Amir has received several prestigious awards, highlighting his academic and research achievements. He was honored with a Departmental Fellowship from Quaid-i-Azam University and an International Research Support Initiative Scholarship from the Higher Education Commission of Pakistan. His outstanding presentation skills earned him the Best Presentation Prize at the International Nathiagali Summer College. Additionally, he was recognized with the Prime Minister Laptop Award for his academic excellence. These accolades reflect his commitment to research and education, as well as his potential for future contributions to the field of physics.

Research Focus:

Amir’s research primarily centers on laser-induced breakdown spectroscopy (LIBS) and its applications in elemental analysis. His work includes optimizing LIBS systems for analyzing rare earth elements and high-entropy alloys, as well as developing calibration-free techniques for various materials. He also explores the use of spectroscopic methods in characterizing polymers and other advanced materials. Amir’s research aims to enhance the efficiency and accuracy of elemental detection, contributing to advancements in materials science and environmental analysis. His ongoing projects reflect a strong commitment to innovative research that addresses contemporary challenges in physics and engineering.

Publications Top Notes:

  • Elemental analysis of cement by calibration-free laser induced breakdown spectroscopy (CF-LIBS) and comparison with laser ablation–time-of-flight–mass spectrometry (LA-TOF-MS)
    A Fayyaz, U Liaqat, Z Adeel Umar, R Ahmed, M Aslam Baig, Analytical Letters 52 (12), 1951-1965 (2019)
  • VO2 thin film based highly responsive and fast VIS/IR photodetector
    ZA Umar, R Ahmed, H Asghar, U Liaqat, A Fayyaz, MA Baig, Materials Chemistry and Physics 290, 126655 (2022)
  • LIBS assisted PCA analysis of multiple rare-earth elements (La, Ce, Nd, Sm, and Yb) in phosphorite deposits
    A Fayyaz, H Asghar, AM Alshehri, TA Alrebdi, Heliyon 9 (3) (2023)
  • Combination of laser-induced breakdown spectroscopy, and time–of–flight mass spectrometry for the quantification of CoCrFeNiMo high entropy alloys
    A Fayyaz, U Liaqat, K Yaqoob, R Ahmed, ZA Umar, MA Baig, Spectrochimica Acta Part B: Atomic Spectroscopy 198, 106562 (2022)
  • Laser spectroscopic characterization for the rapid detection of nutrients along with CN molecular emission band in plant-biochar
    TA Alrebdi, A Fayyaz, H Asghar, S Elaissi, LAE Maati, Molecules 27 (15), 5048 (2022)
  • Vibrational Emission Study of the CN and C2 in Nylon and ZnO/Nylon Polymer Using Laser-Induced Breakdown Spectroscopy (LIBS)
    TA Alrebdi, A Fayyaz, A Ben Gouider Trabelsi, H Asghar, FH Alkallas, Polymers 14 (17), 3686 (2022)
  • Quantification of aluminum gallium arsenide (AlGaAs) wafer plasma using calibration-free laser-induced breakdown spectroscopy (CF-LIBS)
    TA Alrebdi, A Fayyaz, H Asghar, A Zaman, M Asghar, FH Alkallas, Molecules 27 (12), 3754 (2022)
  • Analysis of Rare Earth Ores Using Laser-Induced Breakdown Spectroscopy and Laser Ablation Time-of-Flight Mass Spectrometry
    A Fayyaz, R Ali, M Waqas, U Liaqat, R Ahmad, ZA Umar, MA Baig, Minerals 13 (6), 787 (2023)
  • Supercapacitive behavior and energy storage properties of molybdenum carbide ceramics synthesized via ball milling technique
    K Naseem, Z Ali, P Chen, A Tahir, F Qin, A Fayyaz, MD Albaqami, Ceramics International 50 (6), 9572-9580 (2024)
  • Elemental study of Devarda’s alloy using calibration free-laser induced breakdown spectroscopy (CF‒LIBS)
    J Iqbal, TA Alrebdi, A Fayyaz, H Asghar, SKH Shah, M Naeem, Laser Physics 33 (3), 036001 (2023)
  • Enhanced generation of hydrogen through hydrolysis of biochar-coupled magnesium: Analysis of the performance of biochar-support and the effect of metallic coating on biochar
    K Naseem, J Zhang, A Fayyaz, W Hayat, S Ahmed, S Khursheed, Journal of Environmental Chemical Engineering 12 (1), 111770 (2024)
  • Laser-Induced breakdown spectroscopy and energy-dispersive x-ray analyses for green mineral fluorite (CaF2)
    A Fayyaz, H Asghar, TA Alrebdi, Results in Physics 52, 106850 (2023)
  • Multi-Spectroscopic Characterization of MgO/Nylon (6/6) Polymer: Evaluating the Potential of LIBS and Statistical Methods
    A Fayyaz, H Asghar, M Waqas, A Kamal, WA Al-Onazi, AM Al-Mohaimeed, Polymers 15 (15), 3156 (2023)
  • Optical and thermal characterization of pure CuO and Zn/CuO using laser-induced breakdown spectroscopy (LIBS), x-ray fluorescence (XRF), and ultraviolet–visible (UV–Vis)
    MI Khan, A Fayyaz, S Mushtaq, H Asghar, TA Alrebdi, H Cabrera, R Ali, Laser Physics Letters 20 (8), 086001 (2023)
  • Chemometrics and Spectroscopic Analyses of Peganum harmala Plant’s Seeds by Laser-Induced Breakdown Spectroscopy
    TA Alrebdi, A Fayyaz, H Asghar, A Kamal, J Iqbal, NK Piracha, Applied Sciences 13 (5), 2780 (2023)
  • Spectroscopical Characterization of Copper–Iron (Cu-Fe) Alloy Plasma Using LIBS, ICP-AES, and EDX
    A Fayyaz, J Iqbal, H Asghar, TA Alrebdi, AM Alshehri, W Ahmed, N Ahmed, Metals 13 (7), 1188 (2023)
  • Analytical Techniques for Elemental Analysis: LIBS, LA-TOF-MS, EDX, PIXE, and XRF: A Review
    MA Baig, A Fayyaz, R Ahmed, ZA Umar, H Asghar, U Liaqat, R Hedwig, Proceedings of the Pakistan Academy of Sciences: A. Physical and Biological Sciences (2024)
  • CF-LIBS based elemental analysis of Saussurea simpsoniana medicinal plant: a study on roots, seeds, and leaves
    A Fayyaz, N Ali, ZA Umar, H Asghar, M Waqas, R Ahmed, R Ali, MA Baig, Analytical Sciences 40 (3), 413-427 (2024)

Conclusion:

Amir Fayyaz is an exceptionally qualified candidate for the Best Researcher Award. His extensive experience in advanced research methodologies, a strong publication record, and a commitment to education exemplify his dedication to advancing scientific knowledge. By addressing areas for improvement, he could enhance his already impressive profile and contribute even more significantly to the field of physics and materials science. His potential for future contributions, coupled with his current achievements, strongly supports his nomination for this award.

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:

SCOPUS

Summary of Suitability for Best Researcher Award: Yue Wang

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

Education

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

Work Experience

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

Publication top Notes:

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

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

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

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

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

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

Assoc Prof Dr Zhongxiang Liu | Applications of Sensors | Best Researcher Award

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Assoc Prof Dr Zhongxiang Liu | Applications of Sensors | Best Researcher Award 

 Assoc Prof Dr Zhongxiang Liu,Associate Researcher, Southeast University,China

Zhongxiang Liu is an Associate Professor at the School of Transportation, Southeast University, Nanjing, China. He has a strong background in structural engineering, with substantial experience in academia and research. His international exposure includes postdoctoral research at Columbia University and a visiting scholarship at Virginia Tech in the USA. With multiple editorial roles and contributions to international journals, Liu has established himself as a distinguished researcher in structural health monitoring and smart city infrastructure. He has received prestigious awards for his contributions to civil and structural engineering and is dedicated to advancing resilient and sustainable engineering solutions.

Professional Profile:

Summary of Suitability for the Best Researcher Award:

Zhongxiang Liu is an Associate Professor at the School of Transportation, Southeast University, with a Ph.D. in Structural Engineering from Southeast University, China. He has a robust academic background, having completed postdoctoral research at Columbia University and held a visiting scholar position at Virginia Tech. His research expertise lies in structural health monitoring, resilient structures for smart cities, and dynamic analysis of offshore structures. Liu is recognized for his prolific contributions as a guest editor for multiple high-impact journals and has received several prestigious awards, including the Science and Technology Progress Award of China and the Gold Medal at the International Exhibition of Inventions of Geneva.

Education

Zhongxiang Liu earned his Ph.D. in Structural Engineering from Southeast University, Nanjing, China, in 2019. Prior to that, he completed his M.S. in Structural Engineering at the same institution in Chongqing, China, in 2015. He holds a B.S. in Civil Engineering from Chongqing University, Chongqing, China, awarded in 2012. His strong academic foundation has provided him with the necessary expertise to excel in structural health monitoring, offshore structure dynamics, and novel sensing technologies for smart cities.

Work Experience

Liu has been serving as an Associate Professor at Southeast University, Nanjing, China, since February 2021. Before this, he was a Postdoctoral Research Fellow at Columbia University, USA, from November 2019 to November 2020. He also gained valuable international experience as a Visiting Scholar at Virginia Tech, USA, from November 2016 to November 2017. His work in these roles has focused on structural health monitoring, dynamic analysis of offshore structures, and the application of resilient engineering technologies in urban infrastructure.

Skills

Zhongxiang Liu specializes in structural health monitoring, offshore structure analysis, and resilient urban infrastructure. His skills extend to advanced hydro- and aero-dynamic analysis, condition assessment of bridges, and novel sensing technologies for smart city applications. He has editorial and review expertise for high-impact journals, as well as experience in conducting performance evaluations of structural systems. His proficiency in combining these skills to address practical engineering challenges makes him a versatile researcher and educator in the field of civil engineering.

Awards and Honors

Liu has received numerous prestigious awards, including the First Prize in the Science and Technology Progress Award of Jiangsu, China (2022) and the Grand Prize from the China Highway and Transportation Society (2022). His research was recognized internationally, earning the Gold Award with congratulations from the Jury at the 48th International Exhibition of Inventions of Geneva in 2023. Liu was also honored with the Liu Huixian Earthquake Engineering Scholarship Award (2019), as well as several National Scholarships from the Ministry of Education of China during his doctoral and master’s studies.

Membership

Zhongxiang Liu is actively involved in the academic community, serving as a guest editor for multiple journals including Materials (MDPI), Applied Sciences (MDPI), and Modelling (MDPI). He is a Youth Editorial member for the International Journal of Structural Integrity and Journal of Disaster Prevention and Mitigation Engineering. In addition, he reviews for more than 20 international journals in the fields of structural engineering and performance evaluation, further establishing his expertise and influence in the field.

Teaching Experience

As an Associate Professor at Southeast University, Liu is involved in teaching and mentoring students in advanced structural engineering concepts. His international experience at prestigious institutions such as Columbia University and Virginia Tech enriches his teaching, allowing him to incorporate a global perspective into his lectures. He guides students in the fields of structural health monitoring, offshore structures, and smart city technologies, preparing the next generation of engineers to tackle modern infrastructure challenges with innovative solutions.

Research Focus

Liu’s research primarily focuses on structural health monitoring and the condition assessment of bridges, along with hydro- and aero-dynamic analysis of offshore structures. His work emphasizes resilient infrastructure solutions, particularly in the context of smart cities. By developing novel sensing technologies and resilient structural designs, Liu aims to enhance urban infrastructure’s longevity and safety. His research also explores the control and evaluation of dynamic responses in offshore structures, contributing to advancements in both civil engineering and sustainable urban development.

Publication top Notes:

 

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