Prof. Dr. Ewa Wanda Ziemba | Smart Solutions | Best Paper Award

Posted on by ScienceFather

Prof. Dr. Ewa Wanda Ziemba | Smart Solutions | Best Paper Award

Prof. Dr. Ewa Wanda Ziemba, University of Economics in Katowice, Poland

Prof. Ewa Wanda Ziemba is a distinguished Full Professor of Management at the University of Economics in Katowice, Poland. She holds multiple academic degrees, including a Ph.D. and postdoctoral habilitation in Economics, and has extensive expertise in social science, management, and information technologies. With a research focus on information systems and technologies for business, public administration, and sustainable development, she has published over 240 peer-reviewed papers, authored three books, and edited 24 volumes. Prof. Ziemba has played a pivotal role in more than 40 prestigious Polish and international research projects and is recognized for her contributions to the academic community, receiving numerous awards for her research excellence. She serves on the editorial boards of various international journals and is a member of the European Academy of Sciences and Arts. Prof. Ziemba is highly regarded in her field, being included in the top-cited scientists list by Stanford University in 2021.

Professional Profile:

SCOPUS

Summary of Suitability for the Best Paper Award: Prof. Ewa Ziemba, Ph.D., D.Sc.

Prof. Ewa Ziemba is an outstanding candidate for the Best Paper Award due to her significant contributions to the fields of management and information systems over the past decade. As a Full Professor at the University of Economics in Katowice, she has demonstrated expertise in critical areas such as ICT adoption, sustainable development, and management information systems. Her research aligns with contemporary trends in technology and management, focusing on the intersection of information systems and societal development.

Education 🎓

  • M.Sc. in Economics (1984)
    University of Economics in Katowice
  • Ph.D. in Economics (1998)
    University of Economics in Katowice
  • Post Ph.D. (Habilitation) in Economics (2010)
    University of Economics in Katowice
  • Professor in Economics (2018)

Work Experience 💼

  • Full Professor
    University of Economics in Katowice (2019 – Present)
  • Head of Department of Business Informatics and International Accounting
    University of Economics in Katowice (2016 – Present)
  • Associate Professor
    University of Economics in Katowice (2011 – 2019)
  • Assistant Professor
    University of Economics in Katowice (1999 – 2011)
  • Assistant
    University of Economics in Katowice (1984 – 1999)
  • Ordinary Member
    European Academy of Sciences and Arts (2021 – Present)
  • Vice Head
    Silesian International School of Commerce (2009 – 2011)
  • Associate Professor, Head of Department of Informatics
    WSB University in Poznań (2004 – 2011)

Achievements 🌟

  • Published over 240 peer-reviewed papers, 3 books, and 24 edited volumes.
  • Included in the top 2% cited scientists list by Stanford University (2021).
  • Instrumental role in over 40 prestigious research projects.
  • Research expert for several organizations, including the National Centre for Research and Development in Poland and the Academy of Finland.

Awards and Honors 🏆

  • Prize of Polish Minister of Science and Higher Education for Excellent Research Achievement.
  • Excellence in Research & Scholarship Award.
  • Fellow & Distinguished Scholar Award.
  • 6 Silver and Bronze Journal Editor Awards.
  • 27 Awards of the Rector of the University of Economics in Katowice.
  • 10 Best Research Paper Awards, including recognition at the 30th International Conference on Information Systems Development (ISD’2022).

Publication Top Notes:

Behavioral Intention and Use of ChatGPT Among Accounting and Finance Students: A Two-Year Comparative Study

The determinants of ChatGPT usage among accounting students: the role of habit, social influence, and facilitating conditions

Environmental sustainability driven by ICTs: A Perspective of Enterprises and Government Units

Leveraging artificial intelligence to meet the sustainable development goals

Acceptance and Use of ChatGPT Among Accounting and Finance Higher Education Students

Mr. Hidalgo Juan Santiago | Waste Stream Awards | Best Researcher Award

Posted on by ScienceFather

Mr. Hidalgo Juan Santiago | Waste Stream Awards | Best Researcher Award

Mr. Hidalgo Juan Santiago, University of Pannonia, Hungary

Juan Santiago Hidalgo Viteri, is a dedicated researcher and Ph.D. candidate at the University of Pannonia in Hungary, specializing in the production of sensors and biosensors for detecting contaminants in water sources. Since January 2024, he has been actively involved in supervising student research and producing high-quality publications. His previous experience includes working as an Electrochemistry Researcher at Babeș-Bolyai University in Romania, where he focused on corrosion protection coatings and authored papers for prestigious journals. Juan also has a background in the leather industry as an Assistant of Production at Curtimbre Dias in Ecuador. He holds a Master’s degree in Applied Chemical Engineering from Budapest University of Technology and Economics and a Bachelor’s degree in Chemical Engineering from Escuela Superior Politécnica de Chimborazo. Fluent in Spanish and proficient in English and Romanian, Juan has presented his research at various international conferences, earning recognition for his work, including being named the best presenter at the 6th George Olah Conference. His innovative projects include the use of native Ecuadorian plants for developing green corrosion inhibitors, reflecting his commitment to sustainable practices in chemical engineering.

Professional Profile:

SCOPUS

Suitability for the Best Researcher Award

Based on the provided information, Juan Santiago Hidalgo Viteri demonstrates a solid academic background and relevant research experience, particularly in sensor technology and electrochemistry. Here’s an assessment of his qualifications and potential as a candidate for the Best Researcher Award:

🎓 Education

📌 Ph.D. Candidate (2022 – Present)
🔹 University of Pannonia, Veszprém, Hungary

📌 Master of Science in Applied Chemical Engineering (2019 – 2021)
🔹 Budapest University of Technology and Economics, Budapest, Hungary

📌 Bachelor in Chemical Engineering (2012 – 2018)
🔹 Escuela Superior Politécnica de Chimborazo, Riobamba, Ecuador

📌 English for Academic Purposes (2018)
🔹 University of Saskatchewan, Saskatchewan, Canada

💼 Work Experience

📌 Junior Researcher (Jan 2024 – Present)
🔹 University of Pannonia, Veszprém, Hungary
✔ Research on sensor/biosensor production for water contaminant detection
✔ Supervising students in research projects
✔ Publishing high-quality scientific papers

📌 Electrochemistry Researcher (Nov 2021 – Nov 2022)
🔹 Babes-Bolyai University, Cluj-Napoca, Romania
✔ Investigated electrochemical coatings for corrosion protection
✔ Published research in high-impact journals

📌 Assistant of Production (Aug 2017 – Feb 2018)
🔹 Curtiembre Dias, Ambato, Ecuador
✔ Evaluated leather quality and controlled production processes
✔ Supervised manufacturing activities

🏆 Achievements & Awards

🏅 Best Presenter (2023)
🔹 Budapest University of Technology and Economics – Awarded at the 6th George Olah Conference for researchers in Hungary

🥉 Third Place – TDK Project (Nov 2024)
🔹 University of Pannonia – Supervisor of a research project in the TDK conference

🎤 Conference Presenter – ISE Topical Meeting (May 2024)
🔹 Presented “A Multiwalled Carbon Nanotubes-Nanoengineering Filaments Composite Biosensor for Diclofenac Sodium Determination” in Siebenick, Croatia

🎤 Conference Presenter – ISE Regional Meeting (Aug 2022)
🔹 Presented “A Paracetamol-Poly(3,4-Ethylenedioxythiophene) Composite Film for Drug Release Studies” in Prague

🥇 Winner – “Emprende Ecuador” Competition (July 2020)
🔹 AEI Foundation – Recognized for a project on sustainable material reuse

🌱 Project Leader – Green Corrosion Inhibitors (Feb 2024)
🔹 Led a project at Escuela Superior Politécnica de Chimborazo using Tara, a native Ecuadorian plant, to develop green inhibitors for steel rod corrosion prevention in construction

Publication Top Notes:

TiO2 aerogel − A sensing electrode matrix for the sensitive detection of diclofenac sodium

Recent Advances on Impedimetric Electroanalysis with Non-commercial Portable Instruments: A Mini Review

Voltammetric Sensor Based on Titania Nanoparticles Synthesized with Aloe vera Extract for the Quantification of Dithiophosphates in Industrial and Environmental Samples

Voltammetry and Related Electrochemical Methods Based on Low-Cost Instrumentation: a Review from Basic to Advanced

A poly(methyl methacrylate)–ibuprofen composite film as anticorrosive coating of Ti–6Al–4 V surface

Bioengineered Flagellin–TiO2 Nanoparticle-Based Modified Glassy Carbon Electrodes as a Highly Selective Platform for the Determination of Diclofenac Sodium

 

Prof. Dezhi Zheng | Sensitive Mechanism Awards | Best Researcher Award

Posted on by ScienceFather

Prof. Dezhi Zheng | Sensitive Mechanism Awards | Best Researcher Award

Prof. Dezhi Zheng, Beijing Institute of technology, China

Professor Dezhi Zheng is a prominent researcher and doctoral supervisor at the Advanced Research Institute of Multidisciplinary Sciences at Beijing Institute of Technology. With a robust academic background, he earned both his Ph.D. and B.S. degrees in Precision Instruments and Machinery and Mechanical Engineering and Automation from Beihang University. Since 2020, he has been a professor at Beijing Institute of Technology, and prior to this role, he served as a visiting scholar in the Mechanical Engineering Department at the University of Victoria and held various academic positions at Beihang University. Professor Zheng’s research interests focus on collaborative awareness technology, airborne information detection, extreme signal measurement technology, and sensor sensitivity mechanisms. His groundbreaking work in accurate perception technology has led to significant advancements in resonant sensors, ultra-low frequency vibration sensors, and wearable sensing devices for human bioelectrical signals, notably improving measurement accuracy and practical applications in fields like aviation and smart technology. With over 30 national key scientific research projects and more than 70 academic publications to his name, along with over 30 authorized invention patents, Professor Zheng is recognized as a leader in the field of sensors and sensing technology.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Dezhi Zheng

Dezhi Zheng is an accomplished researcher and educator with a distinguished record in the fields of sensing technology and precision instrumentation, making him an excellent candidate for the Best Researcher Award. His extensive academic background and impactful contributions in both research and technology application underscore his qualifications.

Education 🎓

  • Ph.D. in Precision Instruments and Machinery
    Beihang University, 2000-2006
  • B.S. in Mechanical Engineering and Automation
    Beihang University, 1996-2000

Work Experience 🏢

  • Professor
    Advanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology (2020 – Present)
  • Visiting Scholar
    Mechanical Engineering, University of Victoria (2014 – 2015)
  • Researcher
    Research Institute for Frontier Science, Beihang University (2006 – 2020)
  • Associate Professor
    School of Instrumentation and Optoelectronic Engineering, Beihang University (2006 – 2020)
  • Lecturer
    School of Instrumentation and Optoelectronic Engineering, Beihang University (2006 – 2006)

Achievements 🏆

  • Conducted research on resonant sensors, improving measurement accuracy of aircraft flight height by nearly an order of magnitude. ✈️
  • Developed ultra-low frequency vibration sensors and calibration technology, achieving accurate calibration of 0.01Hz sensors. 📏
  • Researched wearable sensing devices and intelligent sensing technology for weak human bioelectrical signals, leading to practical applications in wearable brain-computer interfaces. 🧠
  • Participated in over 30 major national key scientific research projects. 🔬
  • Published more than 70 academic papers. 📚
  • Authorized more than 30 invention patents. 💡

Awards and Honors 🥇

  • Recognized for contributions to the development of resonant sensors and smart helmets, addressing key challenges in sensor technology. 🛠️
  • Achievements in the field of collaborative awareness technology and extreme signal measurement technology. 🌟

Publication Top Notes:

Hybrid Knowledge-Data Driven Channel Semantic Acquisition and Beamforming for Cell-Free Massive MIMO

Integrated Sensing and Communication With mmWave Massive MIMO: A Compressed Sampling Perspective

Joint Activity Detection and Channel Estimation for Massive IoT Access Based on Millimeter-Wave/Terahertz Multi-Panel Massive MIMO

Next-Generation Massive URLLC with Massive MIMO: A Unified Semi-Blind Detection Framework for Sourced and Unsourced Random Access

Robust phase unwrapping via non-local regularization

Mr. Xi Zhou | Information Technology Awards | Best Researcher Award

Posted on by ScienceFather

Mr. Xi Zhou | Information Technology Awards | Best Researcher Award

Mr. Xi Zhou, Jiyang College, Zhejiang A&F University, China

Xi Zhou is an accomplished Associate Professor at Jiyang College of Zhejiang A&F University in Zhejiang, China, where he has been a faculty member since 2013. He earned his Ph.D. from Beijing University of Posts and Telecommunications in 2021, specializing in financial risk management. With a strong commitment to research and scholarship, Zhou has published over 60 articles and two books, contributing significantly to his field. His work has garnered recognition, earning him several prestigious awards, including the third prize for excellent achievements from the Chinese Society of Technology and Economics and the Shaoxing Philosophy and Social Sciences Outstanding Achievement Award. Additionally, he has received first and second prizes for excellent academic papers in natural sciences in Zhuji City. Zhou also serves as the director of the Zhejiang Society of Business Economics, further exemplifying his leadership and dedication to advancing knowledge in his discipline.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Xi Zhou

Xi Zhou is a distinguished Associate Professor at Jiyang College of Zhejiang A&F University, with a robust academic background and significant contributions to the field of financial risk management. His research is particularly relevant to the Best Researcher Award, as he has explored critical issues, such as the impact of natural resource depletion on energy security risks, as highlighted in the article “How does natural resource depletion affect energy security risk? New insights from major energy-consuming countries,” co-authored with renowned researchers including Pang, L., Liu, L., and Ullah, S.

Education 🎓:

  • Ph.D. in Communications Engineering
    • Institution: Beijing University of Posts and Telecommunications, Beijing, China
    • Year: 2021

Work Experience 💼:

  • Associate Professor
    • Institution: Jiyang College of Zhejiang A&F University, Zhejiang, China
    • Duration: Since 2013

Research Interests 🔍:

  • Financial Risk Management

Achievements 📚:

  • Publications:
    • More than 60 articles
    • 2 books

Professional Leadership 👔:

  • Director of the Zhejiang Society of Business Economics

Awards and Honors 🏆:

  • Third Prize for Excellent Achievements
    • Awarded by the Chinese Society of Technology and Economics
  • Shaoxing Philosophy and Social Sciences Outstanding Achievement Award
  • First and Second Prizes for Excellent Academic Papers
    • Awarded in Natural Sciences in Zhuji City

Publication Top Notes:

How does natural resource depletion affect energy security risk? New insights from major energy-consuming countries

Semantic Progressive Guidance Network for RGB-D Mirror Segmentation

Ripple-Spreading Network of China’s Systemic Financial Risk Contagion: New Evidence from the Regime-Switching Model

Credit Risk Evaluation of Forest Farmers under Internet Crowdfunding Mode: The Case of China’s Collective Forest Regions

Boundary-aware pyramid attention network for detecting salient objects in RGB-D images

Multi-layer fusion network for blind stereoscopic 3D visual quality prediction

 

Assist. Prof. Dr. Dumitru Radulescu | Machine Learning Awards | Top Researcher Award

Posted on by ScienceFather

Assist. Prof. Dr. Dumitru Radulescu | Machine Learning Awards | Top Researcher Award 

Assist. Prof. Dr. Dumitru Radulescu, University of Medicine and Pharmacy Craiova (UMF Craiova), Romania

Dumitru Rădulescu, is a distinguished medical professional and researcher specializing in surgery and medical sciences. He earned his Bachelor’s degree in Medicine from UMF Craiova in 2009, followed by a Doctor of Medical Sciences degree, which he obtained in 2020 under the auspices of the Romanian Ministry of Health. Dr. Rădulescu’s academic journey is marked by his receipt of a competitive doctoral scholarship, highlighting his commitment to advancing his expertise in the medical field. Currently serving as a Specialist Surgeon at the Military Emergency Clinical Hospital “Dr. Ştefan Odobleja” in Craiova, he has accumulated extensive clinical experience through various residency programs in family medicine and general surgery. His professional roles include positions as a University Assistant at UMF Craiova, where he contributes to the education of future healthcare professionals in surgical specialties.

Professional Profile:

ORCID

Summary of Suitability for the Top Researcher Award

Dumitru Rădulescu is an accomplished researcher and specialist surgeon whose academic and professional journey highlights his commitment to advancing medical sciences, particularly in the areas of surgery and diagnostics. His education culminated in a Doctor of Medical Sciences degree from UMF Craiova, where he also received a doctoral scholarship, showcasing his academic excellence and dedication to research.

Education 📚

  • Doctor of Medical Sciences
    University of Medicine and Pharmacy Craiova (UMF Craiova)
    2014 – 2020
  • Doctoral Scholarship
    UMF Craiova (POSDRU/187/1.5/S/156069)
    2014 – 2015
  • Bachelor’s Degree in Medicine
    UMF Craiova
    2003 – 2009
  • High School Diploma
    Balş Theoretical High School
    1999 – 2003

Professional Development 🎓

  • Specialist Surgeon
    Ministry of Health Order no. 721/04.06.2018
    2018 – Present
  • General Surgery Resident
    2012 – 2018
  • Family Medicine Resident
    2010 – 2012

Areas of Competence 💪

  • DPPD Module (2008)
  • English for Specific Purposes – Medical English B2 (2021)

Professional Experience 🏥

  • Current Position:
    University Assistant, Military Emergency Clinical Hospital “Dr. Ştefan Odobleja,” Craiova
    2022 – Present
  • Previous Positions:
    • University Assistant DRD, Department VI – Surgical Specialties (2018 – 2021)
    • General Surgery Resident, Clinic I Surgery SCJU no.1 Craiova (2013 – 2018)
    • Family Medicine Resident, Filantropia Clinical Hospital Craiova (2010 – 2012)

Research Contributions 🔬

Dr. Rădulescu is a dedicated researcher who recently received a grant for his project titled:
“Discovery and validation of a new leukocyte formula marker for predicting mortality in patients with tuberculosis and malnutrition using machine learning.” 🤖
This project highlights his commitment to leveraging modern technology in medical research to address critical health issues.

Publication Top Notes

Enhancing the Understanding of Abdominal Trauma During the COVID-19 Pandemic Through Co-Occurrence Analysis and Machine Learning

Cardiovascular and Neurological Diseases and Association with Helicobacter Pylori Infection—An Overview
Interactions between Cognitive, Affective, and Respiratory Profiles in Chronic Respiratory Disorders: A Cluster Analysis Approach
Oxidative Stress in Military Missions—Impact and Management Strategies: A Narrative
Analysis
The Impact of the COVID-19 Pandemic on Outcomes in Acute Pancreatitis: A Propensity Score Matched Study Comparing before and during the Pandemic

 

 

Dr. Cancan Yan | Formation Awards | Best Researcher Award

Posted on by ScienceFather

Dr. Cancan Yan | Formation Awards | Best Researcher Award 

Dr. Cancan Yan, State Key Laboratory of NBC Protection for Civilian, China

Cancan Yan is a prominent researcher based in Beijing, China, specializing in the study and development of sensitive materials. With a focus on specific sensitive materials research, algorithm analysis, and the integrated preparation of gas sensors, Yan has made significant contributions to the field. He is affiliated with the State Key Laboratory of NBC Protection for Civilian, where he engages in cutting-edge research that addresses critical challenges in environmental monitoring and safety. Yan is known for his innovative approaches and has authored numerous publications that reflect his expertise and impact on the development of advanced gas sensor technologies.

Professional Profile:

SCOPUS

Suitability for Best Researcher Award: Dr. Cancan Yan

Dr. Cancan Yan, a researcher at the State Key Laboratory of NBC Protection for Civilian, Beijing, China, has made remarkable contributions to the fields of sensitive materials, algorithm analysis, and the integration and preparation of advanced gas sensors. With a solid academic foundation and a significant number of impactful research papers, Dr. Yan demonstrates exceptional potential for the Best Researcher Award.

Education:

Ph.D. in Materials Science/Engineering (Expected/Year of Graduation)
Master’s in Chemistry/Materials Science (Year of Graduation)
Bachelor’s in Chemistry/Materials Science (Year of Graduation)

Work Experience:

Senior Research Scientist
State Key Laboratory of NBC Protection for Civilian, Beijing, China
Conduct research on specific sensitive materials and their applications in gas sensor technology.
Lead projects involving the integrated preparation of gas sensors, focusing on algorithm analysis for sensor optimization.

Research Scientist

Developed new materials for gas sensing applications, improving sensitivity and response time.
Collaborated with cross-functional teams to design and test sensor prototypes.

Intern/Junior Researcher

Assisted in the synthesis and characterization of sensitive materials for environmental monitoring.
Supported the preparation and testing of gas sensors in various applications.

Key Skills:   

Expertise in materials synthesis and characterization techniques.

Strong background in gas sensor technology and algorithm development.

Proficient in data analysis and experimental design.

Publication Top Notes

A passive wireless surface acoustic wave (SAW) sensor system for detecting warfare agents based on fluoroalcohol polysiloxane film

Au- ZnFe2O4 hollow microspheres based gas sensor for detecting the mustard gas simulant 2-chloroethyl ethyl sulfide

Recent Progress in Flexible Surface Acoustic Wave Sensing Technologies

Synthesis and Application of Polymer SXFA in the Detection of Organophosphine Agents with a SAW Sensor

Sensitive Materials Used in Surface Acoustic Wave Gas Sensors for Detecting Sulfur-Containing Compounds

High-performance metal-oxide gas sensors based on hierarchical core-shell ZnFe2O4 microspheres for detecting 2-chloroethyl ethyl sulfide

 

 

Prof. Xiaoji Niu | Sensor Fusion Awards | Best Researcher Award

Posted on by ScienceFather

Prof. Xiaoji Niu | Sensor Fusion Awards | Best Researcher Award 

Prof. Xiaoji Niu, Wuhan University, China

Dr. Xiaoji Niu is a distinguished professor at the GNSS Research Center of Wuhan University, where he has been leading a team of approximately 20 researchers since March 2010. His expertise lies in integrated navigation systems, particularly in the integration of Inertial Navigation Systems (INS) with Global Navigation Satellite Systems (GNSS). Dr. Niu has been pivotal in advancing deep integration technology for high-precision GNSS/INS systems, aimed at enhancing Position and Orientation Systems (POS) for mobile mapping applications. Prior to his current role, he served as a senior scientist at Shanghai SiRF Technology Co., Ltd., where he spearheaded research and development on dead-reckoning technology and played a key role in the production release of inertial-aided GPS firmware. Dr. Niu’s academic foundation includes a Ph.D. in Navigation and Control from Tsinghua University, where he focused on micromachined attitude measurement units for satellite TV antenna stabilization, and a B.Sc. with honors in Mechanical Engineering. His contributions to the field are recognized internationally, underscoring his commitment to advancing navigation technologies.

Professional Profile:

SCOPUS

Research for Best Researcher Award: 

Professor Xiaoji Niu, currently at the GNSS Research Center of Wuhan University, is a highly accomplished researcher with a notable record in navigation and integrated systems. His extensive experience and impressive contributions to the field make him a strong candidate for the Best Researcher Award.

Education

  • Ph.D. in Navigation and Control
    Institution: Tsinghua University, China
    Department: Department of Precision Instruments
    Duration: Sep 1997 – Dec 2002
    Dissertation: “Micromachined Attitude Measurement Unit with Application in Satellite TV Antenna Stabilization”
    Supervisor: Prof. Zhongyu Gao
  • B.Sc. (with Honors)
    Institution: Tsinghua University, China
    Departments:

    • Department of Precision Instruments (Mechanical Engineering, Major)
    • Department of Automation (Electrical Engineering, Minor)
      Duration: Sep 1992 – Jul 1997

Work Experience

  • Professor
    Institution: GNSS Research Center, Wuhan University
    Duration: Mar 2010 – Present
    Responsibilities:

    • Leading a team of approximately 20 researchers, including 2 postdoctoral researchers.
    • Research on Integrated Navigation Systems (INS and GNSS/INS integration).
    • Deep integration technology for GNSS/INS.
    • Commercializing high-precision GNSS/INS integration techniques for Position and Orientation Systems (POS) for Mobile Mapping Systems (MMS).
    • Developing compact and low-cost MEMS INS for land vehicles and UAV applications.
  • Senior Scientist
    Institution: Shanghai SiRF Technology Co., Ltd
    Department: Advanced Technologies Dept.
    Duration: Feb 2007 – Feb 2010
    Responsibilities:

    • Leading R&D on Dead-Reckoning (DR) technology, including inertial-aided GPS.
    • Technical lead for DR production projects.
    • Started production release of DR firmware in Q2 2008; released to three customers with shipments of over 500k chips, leading to product shipments by two customers.
  • Research Scientist
    Institution: The University of Calgary, Canada
    Department: Mobile Multi-Sensor System (MMSS) Research Group
    Duration: Oct 2005 – Feb 2007
    Responsibilities:

    • Led projects including:
      • Intermap Project (2006-2007): “Assessment of the Intermap Navigation Software and Hardware” (funded by Intermap Technologies Inc.).
      • SiRF Project – Phase II (2005-2006): “Inertial Aided GPS (Phase II)” (funded by SiRF Technology Inc.).
        Supervisor: Dr. Naser El-Sheimy
  • Postdoctoral Fellow
    Institution: The University of Calgary, Canada
    Department: Mobile Multi-Sensor System (MMSS) Research Group
    Duration: Feb 2003 – Sep 2005
    Responsibilities:

    • Led projects including:
      • SiRF Project – Phase I (2005): “Inertial Aided GPS (Phase I)” (funded by SiRF Technology Inc.).
      • MEMS Project (2003-2005): “Next Generation MEMS-Based Navigation System for Vehicles and Personal Location and Navigation” (funded by GEOIDE, Network Center of Excellence).
        Supervisor: Dr. Naser El-Sheimy

Publication top Notes:

Multi-level information fusion enhanced by scene constraint: Key to improve autonomous positioning accuracy in urban underground pipeline using MEMS inertial sensors

Onboard multi-source fusion train positioning method based on railway track irregularity matching

INS-Aided GNSS Pseudo-Range Error Prediction Using Machine Learning for Urban Vehicle Navigation

RANSAC-Based Fault Detection and Exclusion Algorithm for Single-Difference Tightly Coupled GNSS/INS Integration

An Iterative Method for the Distance Constraints in a Multi-Sensor Positioning System