Prof. Godwin Okeke | Mathematics | Best Researcher Award

Prof. Godwin Okeke | Mathematics | Best Researcher Award 

Prof. Godwin Okeke, Federal University of Technology, Nigeria

Godwin Amechi Okeke is a Reader (Associate Professor) in the Department of Mathematics at the Federal University of Technology, Owerri, Nigeria. Born on December 5, 1980, in Obeagu Oduma, Enugu State, he earned his B.Sc. in Mathematics from the University of Nigeria, Nsukka, followed by an M.Sc. and Ph.D. in Mathematics (Pure) from the University of Lagos. He completed a postdoctoral fellowship at the Abdus Salam School of Mathematical Sciences, Government College University, Lahore, Pakistan. Dr. Okeke’s research focuses on Functional Analysis. He has extensive teaching experience across undergraduate and postgraduate levels, having served at several Nigerian universities including Covenant University and Michael Okpara University of Agriculture. He is proficient in English and Igbo, skilled in LaTeX, Matlab, and Microsoft Office, and is recognized for his dedication to research, teaching, and academic service.

Professional Profile:

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Summary of Suitability for Best Researcher Award:

Dr. Godwin Amechi Okeke is a highly qualified and dedicated academic with a solid background in pure mathematics, particularly in the area of functional analysis. With a Ph.D. from the University of Lagos and postdoctoral research experience at the Abdus Salam School of Mathematical Sciences in Pakistan, Dr. Okeke has demonstrated a consistent commitment to advancing mathematical research.

🎓 Education

  • 🏫 Primary Education: Joint School, Obeagu Oduma, Enugu State (1988–1993) – PSLC

  • 🏫 Secondary Education: Kosofe College, Ketu, Lagos State (1993–1997) – SSCE

  • 🎓 Bachelor’s Degree: B.Sc (Hons) in Mathematics (2nd Class Upper), University of Nigeria, Nsukka (2006)

  • 🎓 Master’s Degree: M.Sc in Pure Mathematics, University of Lagos (2010)

  • 🎓 Doctorate Degree: Ph.D in Mathematics, University of Lagos (2014)

  • 🎖️ Postdoctoral Fellowship: Abdus Salam School of Mathematical Sciences, GCU Lahore, Pakistan (2019–2020)
    Host: Prof. Dr. Mujahid Abbas

💼 Work Experience

  • 👨‍🏫 Associate Professor (Reader), Federal University of Technology, Owerri (2021–Present)

  • 👨‍🏫 Senior Lecturer, Federal University of Technology, Owerri (2017–2021)

  • 👨‍🏫 Senior Lecturer, Michael Okpara University of Agriculture, Umudike (2016–2017)

  • 👨‍🏫 Lecturer I, Covenant University, Ota (2014–2016)

  • 👨‍🏫 Lecturer II & Assistant Lecturer, Distance Learning Institute, University of Lagos (2014)

  • 🎓 Graduate Fellow & Teaching Assistant, University of Lagos (2010–2013)

  • 👨‍🏫 Mathematics Teacher, Caleb International College & Kaduna State Ministry (2007–2009)

  • 👶 Class Teacher, Wonderful Lord Nursery & Primary School (1999–2000)

🏆 Achievements, Awards & Honors

  • 📜 Completed a postdoctoral fellowship in Functional Analysis under renowned scholar Prof. Mujahid Abbas.

  • 🌍 International research exposure through work in Pakistan.

  • 👨‍🎓 Mentorship of undergraduate and postgraduate students in mathematics.

  • 💬 Skilled in teaching a wide range of mathematics courses at both undergraduate and postgraduate levels across several Nigerian universities.

  • 📘 Known for deep expertise in Functional Analysis, contributing to academia with solid teaching and research.

Publication Top Notes:

A Novel Fixed-Point Iterative Process for Multivalued Mappings Applied in Solving a HIV Model of Fractional Order

Novel Method for Approximating Fixed Point of Generalized α-Nonexpansive Mappings with Applications to Dynamics of a HIV Model

An Efficient Iterative Scheme for Approximating the Fixed Point of a Function Endowed with Condition (Bγ,μ) Applied for Solving Infectious Disease Models

A novel fixed point iteration process applied in solving the Caputo type fractional differential equations in Banach spaces

Another Meir-Keeler-type nonlinear contractions

A novel approach based on embedding Green’s functions into fixed point iterations for solving boundary value problems

Prof. Dr. Elisa González-Romero | Environmental | Best Researcher Award

Prof. Dr. Elisa González-Romero | Environmental | Best Researcher Award 

Prof. Dr. Elisa González-Romero, Universidade de Vigo, Spain

Prof. Elisa González-Romero is a Full Professor of Analytical and Food Chemistry at the University of Vigo, Spain, where she has served since 1993. She previously held academic positions at the Universidad de Vigo (Orense), the Universidad Autónoma de Madrid, and taught at CES NUMEN College. Her academic background includes a Ph.D. in Analytical Chemistry and Instrumental Analysis and a graduate degree in Chemistry from Universidad Autónoma de Madrid, complemented by a postdoctoral research stay at New Mexico State University in the U.S. Prof. González-Romero’s professional expertise spans analytical techniques, food chemistry, and sensor development, and she has held research and quality control roles in industry. She is an active member of several prominent scientific societies, including the American Chemical Society, the Real Sociedad Española de Química, and the Sociedad Española de Química Analítica. She has also held visiting professorships at institutions in Portugal, Morocco, and Tunisia, and has received international recognition such as being named among the IBC Leading Scientists of the World. Her work continues to influence both the academic and applied sectors of analytical science.

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Summary of Suitability for Best Researcher Award – Dr. Elisa Gonzalez-Romero

🧪 Research Focus and Contributions:
Dr. Elisa Gonzalez-Romero has made sustained, high-impact contributions in the fields of electroanalysis, biosensors, bionanotechnology, and modified electrodes. Her research applies advanced electrochemical and biochemical methodologies to address real-world problems in environmental, food, and clinical sciences, demonstrating a rare ability to bridge theory and practical application.

👩‍🎓 Education

  1. 🎓 Ph.D. in Analytical Chemistry
    Universidad Autónoma de Madrid, Spain
    📅 1989-11-15
    📘 Specialization: Química Analítica y Análisis Instrumental

  2. 🎓 Graduate in Chemistry
    Universidad Autónoma de Madrid, Spain
    📅 1983-06-01
    📘 Focus: Analytical Chemistry and Instrumental Analysis

  3. 🧪 Postdoctoral Researcher
    New Mexico State University, USA
    📅 1990-10-01 to 1992-07-28
    🔬 Laboratory: Sensor-Chip Lab

💼 Work Experience

  1. 👩‍🏫 Full Professor (Analytical and Food Chemistry)
    Universidad de Vigo, Pontevedra, Spain
    📅 1993-05-07 to Present

  2. 👩‍🏫 Associate Professor (Interim)
    Universidad de Vigo, Orense, Spain
    📅 1991-09-31 to 1993-05-06

  3. 👩‍🏫 Assistant Professor (Analytical Chemistry & Instrumental Analysis)
    Universidad Autónoma de Madrid, Spain
    📅 1986-09-01 to 1991-10-01

  4. 🔬 Researcher – Quality Control
    Alcon Iberhis SA, Madrid, Spain
    📅 1985-01-01 to 1986-09-29

  5. 🧑‍🏫 Instructor in Analytical Chemistry
    CES NUMEN College, Madrid, Spain
    📅 1983-09-01 to 1986-07-31

🌍 Visiting Professor Positions

  • 🏛 Université Abdelmalek Essaadi, Morocco (2015)

  • 🏛 Universidade do Minho, Portugal (2010–2014)

  • 🏛 Tunis El Manar University, Tunisia (2011)

🏆 Awards and Distinctions

  • 🥇 IBC Leading Scientists of the World
    International Biographical Centre, London, UK
    📅 2013-10-11

  • 🌍 People to People Citizen Ambassador Fellowship
    American Oil Chemists’ Society, USA – Fats and Oils Technology Delegation to China
    📅 2010-08

🧑‍🔬 Professional Memberships

  • 🧪 Real Sociedad Española de Química (Electrochemistry & Bioanalytical Chemistry Divisions)

  • 🧪 American Chemical Society (Analytical Chemistry & Agricultural and Food Chemistry Divisions)

  • 🧪 Sociedad Española de Química Analítica

  • 🗳 RSEQ-ST GA, SpainFormer Board Member (2002–2020)

Publication Top Notes:

Enhanced Catalytic Surfaces for Catechol Sensing: Combining Grafted Aryldiazonium Derivative with Cross-Linking Dopamine or Coupling Tyrosinase Immobilizations

Voltammetric methodology for the quality control and monitoring of sulfamethoxazole removal from water

Biosensor Technologies for Water Quality: Detection of Emerging Contaminants and Pathogens

Getting Enhanced Catalytic Surfaces for Catechol Sensing! Combination of Grafted Aryldiazonium Derivative and Either Cross-Linking Dopamine or Coupling Tyrosinase Immobilizations

Decorated Electrode Surfaces with Nanostructures and Metal-Organic Frameworks as Transducers for Sensing

A Carbon Paste Electrode Modified by Bentonite and l‐Cysteine for Simultaneous Determination of Ascorbic and Uric Acids: Application in Biological Fluids

Methodology for decentralized analysis: Detection, quantification and in situ monitoring of pharmaceutical formulations removal by electro-Fenton

Influence of Metal Salts Addition on Physical and Electrochemical Properties of Ethyl and Propylammonium Nitrate

Novel Pyridazin-3(2H)-one-Based Guanidine Derivatives as Potential DNA Minor Groove Binders with Anticancer Activity

Prof. Kheibar Dashtian | Sensing | Best Researcher Award

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.

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🏆 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

Prof. Mohsen Hayati | Microstrip Sensor | Best Researcher Award

Prof. Mohsen Hayati | Microstrip Sensor | Best Researcher Award 

Prof. Mohsen Hayati, Razi University, Iran

Dr. Mohsen Hayati is a Professor in the Electrical Engineering Department at Razi University, Kermanshah, Iran, where he has held various academic and administrative positions, including Head of the Department and Dean of Industry Relations. He earned his Ph.D. in Electronics from Delhi College of Engineering, India. Dr. Hayati’s research interests focus on electronic circuit synthesis, microwave and millimeter-wave devices, and the application of computational intelligence techniques like Artificial Neural Networks (ANN) and Neuro-Fuzzy Inference Systems (ANFIS) for system modeling and simulation. He has supervised 25 Ph.D. and 150 M.Sc. students, published numerous scientific papers, and holds multiple patents. Recognized for his contributions, he has received Razi University’s Distinguished Researcher Award multiple times and was named among the top 2% highly cited researchers globally from 2021 to 2024.

Professional Profile:

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Summary of Suitability for Best Researcher Award

Dr. Hayati’s extensive research experience includes developing innovative systems such as high-accuracy viscometers, fault indicators for power lines, and advanced microstrip filters. His research in artificial neural networks (ANN), fuzzy systems, and neuro-fuzzy inference systems for modeling and simulations has been impactful. Additionally, his published work and patents, including several related to automation and control systems, highlight his creativity and problem-solving skills.

Education 🎓

  • Ph.D. in Electronics, Delhi College of Engineering, Delhi University, India (1988–1992)
    Thesis: Analysis and Optimization of Pipeline Network based on Graph Theory

  • M.Sc. in Electronics, Delhi College of Engineering, Delhi University, India (1986–1987)
    Thesis: Design and Analysis of Digital Ratio Meter

  • B.Sc. in Electronics, Nagarjuna University, India (1980–1985)
    Thesis: Design of Random Sequence Generator

Work Experience 🏫

  • Professor: Electrical Engineering Department, Razi University (2014–Present)

  • Associate Professor: Electrical Engineering Department, Razi University (2008–2014)

  • Assistant Professor: Electrical Engineering Department, Razi University (1993–2008)

  • Head of Electrical Engineering Department: Razi University (1993–1996)

  • Dean of Industry Relations Office: Razi University (2004–2007)

  • Head of Computational Intelligence Lab: Razi University (2008–Present)

  • Principal of Razi Engineering College: Razi University (2015–Present)

Achievements 🏆

  • Supervisor:

    • 25 Ph.D. students

    • 150 MSc students

  • Research Interests:

    • Electronic circuits synthesis

    • Microwave and millimeter-wave devices and circuits

    • Computational intelligence (ANN, Fuzzy System, ANFIS) for simulations and modeling

Awards & Honors 🏅

  • Razi University Distinguished Researcher Award (2005–2023)
    Multiple years of recognition for excellence in research

  • Foundation of Distinguished People in West of Iran Award (2010)

  • Top 2% Highly Cited Researcher (2021–2024)

  • Patent Awards:

    • “Birds Repellent for Electric Power Stations”

    • “High Accuracy Digital Viscometer for Paints”

    • “Digital Measuring and Automatic Control of Chlorine Concentration System”

    • “Fault Indicator Instrument in High Power Lines”

    • “Digital Intelligent Guidance System for Blind People”

Publication Top Notes:

Application of artificial neural networks for temperature forecasting

CITED:204

Artificial neural network approach for short term load forecasting for Illam region

CITED:199

Multilayer perceptron neural networks with novel unsupervised training method for numerical solution of the partial differential equations

CITED:156

Optical biosensors using plasmonic and photonic crystal band-gap structures for the detection of basal cell cancer

CITED:90

An ultra-high sensitive plasmonic refractive index sensor using an elliptical resonator and MIM waveguide

CITED:88

 

Prof. Fang Xu | Gas Detector | Best Researcher Award

Prof. Fang Xu | Gas Detector | Best Researcher Award 

Prof. Fang Xu, Shenzhen Technology University,China

Prof. Fang Xu is an Associate Professor and Master’s Supervisor, serving as the Head of the Department of Applied Physics. She is a Shenzhen Overseas High-level Talent (Peacock Program Category C) with expertise in semiconductor gas sensors, optoelectronic devices, solar cells, and biosensors. She has published 15 SCI papers in high-impact journals such as Advanced Materials, Advanced Energy Materials, and Sensors and Actuators B: Chemical as the first or corresponding author. She holds three national invention patents and actively contributes as a guest editor and reviewer for several scientific journals. Dr. [Name] earned her Ph.D. in Electrical Engineering from The Chinese University of Hong Kong (2018) and a Bachelor’s degree in Applied Physics from Huazhong University of Science and Technology (2012). She has received multiple awards, including First Prize in the National Final of the “China University Students Mechanical Engineering Innovation and Creativity Competition” as an instructor and the Outstanding Oral Presentation Award at the 15th National Conference on Gas and Humidity Sensing Technology.

Professional Profile:

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Suitability for Best Researcher Award

Fang Xu is a highly accomplished researcher whose expertise spans semiconductor gas sensors, optoelectronic devices, solar cells, and biosensors. Her extensive contributions to these fields, particularly through high-impact publications, patents, and leadership roles, make her a strong candidate for the Best Researcher Award.

🎓 Education

📍 Ph.D. in Electrical Engineering (2013.8 – 2018.11)
🔹 The Chinese University of Hong Kong (CUHK)

📍 B.Sc. in Applied Physics (2008.9 – 2012.6)
🔹 Huazhong University of Science and Technology (HUST)

🏢 Work Experience

👩‍🏫 Associate Professor / Master’s Supervisor
📌 Head of the Department of Applied Physics
🌍 Shenzhen Overseas High-level Talents (Peacock Program Category C)

🏆 Achievements

🔬 Research on semiconductor gas sensors, optoelectronic devices, solar cells, biosensors, and more
📑 15 SCI papers in top journals (Advanced Materials, Advanced Energy Materials, etc.) as first/corresponding author
📜 3 National Invention Patents granted
📝 Guest Editor & Reviewer for several scientific journals

🎖 Awards & Honors

🥇 First Prize – China University Students Mechanical Engineering Innovation and Creativity Competition “Akashi Cup” (Guangdong Province)
🥇 First Prize – National Final of “Akashi Cup” (Instructor)
🥈 Second Prize – International Sensor Innovation and Entrepreneurship Competition, South China Region (Instructor)
🏅 2 Outstanding Poster Awards – 1st Smart Gas Sensor Innovation & Cross-border Application Development Forum (Instructor)
🥉 Third Prize – Physics Experiment Competition for College Students, Shenzhen University of Technology (Instructor)
🏆 Crystal Award – Shenzhen University of Technology Science and Technology Innovation Award (Instructor)
📜 Outstanding Undergraduate Thesis Design – Shenzhen University of Technology (Instructor)
🎤 Outstanding Oral Presentation Award – 15th National Conference on Gas and Humidity Sensing Technology and Academic Exchange

Publication Top Notes:

Advanced wearable strain sensors: Ionic double network hydrogels with exceptional stretchability, adhesion, anti-freezing properties, and sensitivity

 

Dual-Gas Sensor Based on the Pt NPs/AlGaN/GaN High Electron Mobility Transistor for H and NH Gases Detection<sub /> <sub />

 

Halide perovskites and high-pressure technologies: a fruitful encounter

One-step synthesis of various burr-like TiO2 nanostructures: Nanotubes, nanorods, nanotetrapods, nano-urchins

 

A Bidirectionally Focus-Tunable Optofluidic Microlens With Miniature Thermoelectric Coolers

 

 

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

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:

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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. Chunhui Xu | Sensor Integration Awards | Best Researcher Award

Mr. Chunhui Xu | Sensor Integration Awards | Best Researcher Award

Mr. Chunhui Xu, Shenyang Institute of Automation, Chinese Academy of Sciences, China

Xu Chunhui is a distinguished male researcher and Master Supervisor at the Shenyang Institute of Automation, part of the Chinese Academy of Sciences. He holds a Master of Engineering and a Bachelor of Engineering from Harbin Engineering University. Xu has extensive experience in autonomous underwater vehicles (AUVs), specializing in areas such as software architecture, path planning, navigation control, and fault diagnosis. His professional journey includes roles as an Assistant Researcher and Research Intern at the Shenyang Institute, where he has made significant contributions to the field, earning several awards including the Special Prize for the Science and Technology Promotion Award of the Chinese Academy of Sciences. Xu has a robust patent portfolio with numerous inventions related to underwater robotics, including collision avoidance technologies and navigation methods. His research continues to advance the capabilities of AUVs, with a focus on applications in deep-sea exploration and resource management.

Professional Profile:

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Xu Chunhui for the Best Researcher Award

Xu Chunhui is a distinguished male Master Supervisor at the Shenyang Institute of Automation, Chinese Academy of Sciences. His expertise lies in autonomous underwater vehicle (AUV) technologies, particularly in software architecture, path planning, navigation control, and fault diagnosis. His extensive educational background includes a Master of Engineering and a Bachelor of Engineering from Harbin Engineering University.

Education 🎓

  • Master of Engineering
    Harbin Engineering University
    September 2005 – March 2008
  • Bachelor of Engineering
    Harbin Engineering University
    September 2001 – August 2005

Work Experience 💼

  • Associate Researcher
    Shenyang Institute of Automation, Chinese Academy of Sciences
    April 2016 – Present
  • Assistant Researcher
    Shenyang Institute of Automation, Chinese Academy of Sciences
    October 2010 – March 2016
  • Research Intern
    Shenyang Institute of Automation, Chinese Academy of Sciences
    April 2008 – September 2010

Achievements 🏆

  • Science and Technology Promotion Award of the Chinese Academy of Sciences
    Special Prize, 2021
  • 3D Real-time Collision Avoidance Technology of Autonomous Underwater Robot
    Second Prize, Provincial Level, 2019
  • Research and Application of Key Technologies for Autonomous Exploration System of Deep-sea Resources
    First Prize, Ministry Level, 2018

Publication Top Notes:

Applications of Autonomous Underwater Vehicle in Submarine Hydrothermal Fields: A Review

Guided Trajectory Filtering for Challenging Long-Range AUV Navigation

A fault diagnosis method with multi-source data fusion based on hierarchical attention for AUV

Ocean Temperature Prediction Based on Stereo Spatial and Temporal 4-D Convolution Model

Accurate two-step filtering for AUV navigation in large deep-sea environment

A fault diagnosis method based on attention mechanism with application in Qianlong-2 autonomous underwater vehicle

Dr. José Santos | Nanostructured Sensors Awards | Best Researcher Award

Dr. José Santos | Nanostructured Sensors Awards | Best Researcher Award 

Dr. José Santos, CSIC, Spain

José Pedro Santos Blanco is a Senior Scientist at the Institute of Physical and Information Technologies (CSIC) in Madrid, specializing in chemical sensors and nanostructured materials for gas detection. He obtained a degree in Physical Sciences (Electronic Specialty) in 1988 and a PhD in 1995 from the University Complutense of Madrid (UCM). Throughout his career, he has been involved in numerous international projects, particularly in the development of electronic noses, and has contributed over 100 publications and presentations in his field. He has also been awarded two patents related to electronic noses. Santos Blanco’s research focuses on designing portable sensor devices for applications in environmental monitoring, safety, and healthcare. His work has earned him four periods of recognition for excellence in research by the CNEAI, and he has successfully supervised several doctoral and master’s theses. Additionally, he actively engages in science outreach and educational initiatives.

Professional Profile:

SCOPUS

Suitability for Best Researcher Award: José Pedro Santos Blanco

José Pedro Santos Blanco is a highly accomplished researcher with over 25 years of experience in the field of chemical sensors and nanotechnology. His extensive background and contributions make him an exceptional candidate for the Best Researcher Award. Below is a summary of his qualifications, achievements, and contributions.

Education 🎓

  • PhD in Physical Sciences (University Complutense of Madrid, 1995) 📚
  • Degree in Physical Sciences (Electronic Specialty) (University Complutense of Madrid, 1988) 📘

Career Highlights 🚀

  • Current Position: Senior Scientist (Científico Titular) at CSIC since 2008 🔬
  • Key Areas of Research:
    • Development of chemical sensors 🧪
    • Electronic noses for detecting volatiles 👃
    • Nanostructured materials for chemical sensors 🔬💡
    • Focus on applications in environment, safety, and health 🌍
    • Development of WiNOSE prototypes for real-world applications 🎤

Key Achievements 🏅

  • Over 100 international publications 📄
  • Author of 2 patents on electronic noses 🛠️
  • Supervised multiple PhD theses 🎓 (including industrial PhDs)
  • 4 periods of 6 years research work recognition (sexenios) 🏆
  • Invited to present conferences at international institutions 🌎
  • Winner of the FOTCIENCIA 14 scientific photography award 📸

Professional Experience 💼

  • Worked at the European Commission’s Joint Research Center in Ispra, Italy 🇮🇹
  • Contributed to national and European projects on electronic noses and chemical sensors ⚙️
  • Currently a scientific advisor to the company Phi4Tech 🏢

Publication Top Notes

Rare Earth Doped Metal Oxide Sensors for the Detection of Methane at Room Temperature

Sniffing Smartwatch for Online Monitoring of Selected Odorants

Detection of Aroma Profile in Spanish Rice Paella during Socarrat Formation by Electronic Nose and Sensory Panel

Direct Observation and Real-Time Tracking of an Extraordinarily Stable Folding Intermediate in Mitotic Arrest Deficient Protein 2 Folding by Single-Molecule Fluorescence Resonance Energy Transfer

The Effect of Rare Earths on the Response of Photo UV-Activate ZnO Gas Sensors

Rapid and Non-Destructive Analysis of Corky Off-Flavors in Natural Cork Stoppers by a Wireless and Portable Electronic Nose

Dr. Rui Yang | Sensor protection Awards | Best Researcher Award

Dr. Rui Yang | Sensor protection Awards | Best Researcher Award

Dr. Rui Yang, Guilin University of Electronic Technology, China

Rui Yang, Ph.D., is currently a doctoral candidate at the School of Computer and Information Security at Guilin University of Electronic Science and Technology, where he is specializing in deepfake detection. He obtained his Master’s degree from the same university, focusing on small-scale face detection in complex backgrounds. His research interests lie at the intersection of computer vision, machine learning, and multimedia security. Rui has contributed significantly to the field through several publications in prestigious journals, including IEEE Signal Processing Letters and ACM Transactions on Multimedia Computing, Communications, and Applications. His recent works explore advanced techniques in deepfake video detection, image captioning, and unsupervised models. Additionally, he has co-authored papers presented at international conferences, further demonstrating his expertise in applying artificial intelligence to multimedia security. Rui’s innovative contributions aim to enhance the detection and understanding of manipulated digital media.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award:

Rui Yang, a Ph.D. candidate at Guilin University of Electronic Science and Technology, is a promising and accomplished researcher specializing in deepfake detection, with an impressive academic background and significant contributions to the field. His research focuses on cutting-edge techniques in deepfake detection, image captioning, and small-scale face detection, making him highly qualified for the Best Researcher Award.

🎓 Education

  • 2021 – 2024: Ph.D., Guilin University of Electronic Science and Technology, School of Computer and Information Security
    Research direction: Deepfake detection
  • 2018 – 2021: M.E., Guilin University of Electronic Science and Technology, School of Computer and Information Security
    Thesis title: Small-scale Face Detection in Complex Backgrounds
  • 2014 – 2018: B.E., Yibin College, Computer Science and Technology
    Thesis title: Restoration of Gaussian Blurred Images

💼 Work Experience

  • Guilin University of Electronic Science and Technology
    Position: Ph.D. Student and Researcher in Computer and Information Security (Deepfake detection research)
CITED:13
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Dr. Samprit Banerjee | Sensor integration Awards | Excellence in Innovation

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