Assist. Prof. Dr. Nashwan Ali | Electrode Sensor | Best Researcher Award

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Assist. Prof. Dr. Nashwan Ali | Electrode Sensor | Best Researcher Award 

Assist. Prof. Dr. Nashwan Ali, University of Samarra, France

Dr. Nashwan Hussein Ali is an analytical chemist with expertise in electrochemistry, petroleum chemistry, and water analysis. He earned his Ph.D. (2015), M.Sc. (2012), and B.Sc. (2009) in Analytical Chemistry from Tikrit University, Iraq. Currently, he is an Invited Researcher at the University of Poitiers, France, focusing on electrochemical activity mapping of Pt-CeO₂ gradient films. He previously served as an Assistant Professor at the University of Samarra and a Lecturer at Hayat Private University. With extensive experience in analytical techniques such as HPLC, GC-FID, and spectroscopy, he has also worked as an analytical chemist in the petrochemical industry.

Professional Profile:

ORCID

SCOPUS

Summary of Suitability for Best Researcher Award

Dr. Nashwan Hussein Ali has a strong research background in analytical chemistry, electrochemistry, and petroleum chemistry. His extensive experience as a researcher and lecturer, along with multiple publications in peer-reviewed journals, makes him a suitable candidate for the Best Researcher Award.

🎓 Education:

  • 📜 Ph.D. in Analytical Chemistry – Tikrit University, Iraq (2012 – 2015)
  • 🧪 Master of Science in Analytical Chemistry – Tikrit University, Iraq (2009 – 2012)
  • ⚛️ Bachelor of Science in Chemistry – Tikrit University, Iraq (2005 – 2009)

💼 Work Experience:

  • 🔬 Invited Researcher (Apr 2022 – Present)

    • University of Poitiers, UFR SFA, Equipe SAMCat – IC2MP UMR CNRS 7285, France
    • Research Topic: Electrochemical activity mapping of Pt-CeO₂ gradient films using bipolar electrochemistry
    • Supervised by Prof. ZIGAH Dodzi

  • 🎓 Assistant Professor (Dec 2016 – Apr 2022)

    • University of Samarra, College of Applied Science, Iraq
    • Taught:
      • 🧪 Analytical Electrochemistry (Master’s students)
      • 📘 General Chemistry (Undergraduate)
      • 🌱 Green Chemistry (Undergraduate)

  • 📖 Lecturer (Dec 2013 – Feb 2016)

    • Hayat Private University for Science and Technology (HPUST), Erbil, Iraq
    • Taught:
      • ⚗️ Analytical Chemistry (Undergraduate)
      • 🌿 Green Chemistry (Undergraduate)

  • 🏭 Analytical Chemist (Apr 2011 – Jan 2014)

    • Arab Company for Detergent Chemicals (ARADET), Baiji Refinery
    • Conducted chemical analysis for petroleum and water samples using advanced techniques such as HPLC, GC-FID, GC/MS, Karl Fischer titration, UV-Vis spectroscopy.
    • Performed quality control on crude oil properties and industrial water treatment.

🏆 Achievements, Awards & Honors:

  • 🏅 Recognized Researcher in Electrochemistry and Analytical Chemistry
  • 📖 Published Scientific Papers in reputable journals on Electrochemical Methods, Green Chemistry, and Petroleum Analysis
  • 🏆 Academic Excellence Awards for contributions to teaching and research in Analytical Chemistry
  • 🎤 Speaker & Presenter at international conferences in Electrochemistry and Green Analytical Methods

Publication Top Notes:

High-Performance ZIF-7@PANI Electrochemical Sensor for Simultaneous Trace Cadmium and Lead Detection in Water Samples: A Box–Behnken Design Optimization Approach

Spectrophotometric Determination of Captopril in Pharmaceutical Formulations based on Ion-Pair Reaction with the Red Congo

Synthesis and characterization of some new Indazolone and Carbohydrazide derivatives from azachalcones

Determination of loperamide HCL in pharmaceutical preparations using modified lon selective electrode

Determination of metoclopramide in pharmaceutical commercial using flow injection chemiluminescence technique

Mr. Dezhi Zheng | Smart Sensors Awards | Best Researcher Award

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Mr. Dezhi Zheng | Smart Sensors Awards | Best Researcher Award

Mr. Dezhi Zheng, Beijing Institute of Technology, China

Dr. Dezhi Zheng is a distinguished Professor and Doctoral Supervisor at the Advanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology. He received his Ph.D. in Precision Instruments and Machinery and his B.S. in Mechanical Engineering and Automation from Beihang University. With a career spanning roles from Lecturer to Associate Professor at the School of Instrumentation and Optoelectronic Engineering at Beihang University, and a Visiting Scholar at the University of Victoria, Dr. Zheng has made significant contributions to airborne information detection, extreme signal measurement technology, and sensor-sensitive mechanisms. His research, focused on national strategic needs, has advanced the theoretical and applied aspects of precise sensing for weak physical features. Key achievements include innovations in resonant sensor technology to enhance aircraft altitude measurement, ultra-low frequency vibration sensor calibration for explosion monitoring, and wearable sensing devices that address long-term usability in brain-computer interfaces. With over 70 academic publications, 30 invention patents, and participation in more than 30 national research projects, Dr. Zheng’s work has had impactful applications in resonant sensors, low-frequency vibration technology, and smart wearable devices.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award:

Professor Dezhi Zheng, affiliated with the Advanced Research Institute of Multidisciplinary Sciences at Beijing Institute of Technology, has a distinguished profile that aligns well with the criteria for the Best Researcher Award.

🎓 Education

  • 2000-2006: Ph.D. in Precision Instruments and Machinery, Beihang University 🛠️
  • 2008-2012: B.S. in Mechanical Engineering and Automation, Beihang University 🧑‍🎓

🔬 Research Interests

  • 📡 Airborne Information Detection
  • 🛰️ Extreme Signal Measurement Technology
  • 🎛️ Sensor Sensitivity Mechanism

🔍 Research Highlights

Prof. Zheng’s research addresses major national strategic needs in precise sensing technology and weak physical feature applications. Notable achievements include:

  • ✈️ Enhanced Aircraft Altitude Measurement: Developed resonant sensor technologies that improve flight height measurement by nearly an order of magnitude
  • 🌋 Ultra-Low Frequency Vibration Measurement: Pioneered ultra-low frequency sensors for explosion vibration, achieving precise calibration at 0.01Hz
  • 🧠 Wearable Bioelectrical Sensing: Innovated wearable, long-use sensors for brain-computer interfaces, enabling breakthrough applications in wearable tech

🏆 Key Contributions

  • Led research applied in resonant sensors, low-frequency vibration calibration, and smart helmets 🪖
  • Solved technical challenges including sensor device coupled vibration, nonlinear measurement, and dynamic response 🌐
  • Participated in 30+ national research projects
  • Published 70+ academic papers 📄
  • Authorized 30+ invention patents 🔑

Publication top Notes:

UniRTL: A universal RGBT and low-light benchmark for object tracking

Adaptive temperature compensation for MoS2 humidity sensor in complex environments using ISSA-BP neural network

Catadioptric omnidirectional thermal odometry in dynamic environment

A hybrid method for asynchronous detection of motor imagery electroencephalogram fusing alpha rhythm and movement-related cortical potential

Investigation of the morphology and structural transformation of 6H-SiC induced by a single femtosecond laser pulse

Nuclei engineering for even halide distribution in stable perovskite/silicon tandem solar cells

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