Dr. Xueting Luo | Wireless Tracking Awards | Best Researcher Award

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Dr. Xueting Luo | Wireless Tracking Awards | Best Researcher Award 

Dr. Xueting Luo, School of Electronic and Information Engineering, Hebei University of Technology, China

Luo Xueting is a dedicated graduate student at Hebei University of Technology, specializing in Electronic Science and Technology with a focus on photoelectric communication. She previously studied at Tianjin University of Science and Technology, where she earned both her Master’s and Bachelor’s degrees in Electronic Information and Electronic Information Engineering, respectively, achieving impressive academic results and ranking in the top 8% and 10% of her class. Xueting’s research contributions include a published paper in the journal of Electronics on a large-bandwidth lithium niobate electro-optic modulator for frequency-division multiplexing RFID systems. She has actively participated in innovation and entrepreneurship competitions, earning multiple accolades for her team’s project on a thin film lithium niobate acousto-optic modulator. With nearly two years of internship experience at the Quanzhou Tianjin University Integrated Circuit and Artificial Intelligence Research Institute, she has gained practical skills in the production and testing of electro-optic modulators, contributing to several patented innovations. Proficient in both Chinese and English, Xueting is also skilled in various software tools for simulation and design. Outside of her academic pursuits, she enjoys music, playing badminton, basketball, and billiards, reflecting her diverse interests and well-rounded character.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Luo Xueting

Luo Xueting is an exemplary candidate for the Best Researcher Award, demonstrating a strong commitment to excellence in electronic science and technology, particularly in the field of photoelectric communication. Here are the key points that highlight his qualifications.

Education 🎓

  • Hebei University of Technology (2024 – Present)
    • Graduate Major: Electronic Science and Technology
    • Research Direction: Photoelectric Communication
  • Tianjin University of Science and Technology (2021 – 2024)
    • Graduate Major: Electronic Information
    • Research Direction: Photoelectric Communication
    • Exam Results: 3.79 (87.89 average)
    • Ranked in the top 8% of major
  • Tianjin University of Science and Technology (2017 – 2021)
    • Undergraduate Major: Electronic Information Engineering
    • Exam Results: 3.6 (86 average)
    • Ranked in the top 10% of major
    • Notable Scores:
      • Signal Processing Software Design: 92%
      • Digital Signal Processing: 94%
      • Digital Electronic Technology: 97%
      • DSP Principle and Application: 97%

Work Experience 💼

  • Intern
    Quanzhou Tianjin University Integrated Circuit and Artificial Intelligence Research Institute (2023)

    • Gained training and familiarity with the production and testing process of electro-optic modulators
    • Authorized Patents:
      • Preparation Method of Internal Electrode Type Thin Film Lithium Niobate Electro-Optic Modulator: CN 116626922B
      • Waveguide Matrix Thin Film Lithium Niobate Electro-Optic Modulator: CN 116626923B
      • Multi-Mode Matrix Micro Nano Universal Fiber: 202321922225.3
    • Patent Applications:
      • A Multi-Layer Nested Tapered Electrode Lithium Niobate Electro-Optic Modulator and Its Preparation Process: CN 116819806A
      • A Y-Waveguide Modulator Half-Wave Voltage Test System: CN 116840543A

Achievements 🏆

  • Publication:
    • “Large-Bandwidth Lithium Niobate Electro-Optic Modulator for Frequency-Division Multiplexing RFID Systems” (2024)
  • College Students’ Innovation and Entrepreneurship Competition:
    • Gold Medal in School Competition 🥇
    • Gold Medal in Provincial Competition 🥇
    • Bronze Medal in International Competition 🥉
    • Contributed to the discussion and fabrication of a thin film lithium niobate acousto-optic modulator

Awards and Honors 🥇

  • Ranked in the top 8% of major in Graduate Studies at Tianjin University of Science and Technology
  • Ranked in the top 10% of major in Undergraduate Studies at Tianjin University of Science and Technology

Publication Top Notes:

Large-Bandwidth Lithium Niobate Electro-Optic Modulator for Frequency-Division Multiplexing RFID Systems

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

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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

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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. Paulo Ferreira | Distributed Systems Award | Best Researcher Award

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Prof. Paulo Ferreira | Distributed Systems Award | Best Researcher Award

Prof. Paulo Ferreira, University of Oslo, Norway 

Dr. Paulo Ferreira is a Full Professor at the University of Oslo’s Department of Informatics, where he specializes in operating systems and distributed systems. He obtained his Ph.D. from Université Pierre et Marie Curie in 1996 and holds degrees in Electrotechnical Engineering from Instituto Superior Técnico, Lisbon. With a strong commitment to education, Dr. Ferreira supervises multiple PhD and MSc students and has previously taught various advanced courses at the University of Lisbon. He has led significant research initiatives, including the Distributed Systems Group at INESC ID and the H2020 TRACE project, and has contributed to numerous national and international projects in middleware and mobile computing. An accomplished author with over 130 peer-reviewed publications and multiple awards for his research, he actively participates in academic committees and editorial boards, including serving as a senior member of ACM and IEEE. Dr. Ferreira’s expertise is recognized globally, and he has been honored for his exceptional teaching throughout his career.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award

Paulo Ferreira is a highly accomplished researcher in the field of computer science, particularly focusing on operating systems and distributed systems. He holds a PhD from Université Pierre et Marie Curie and has extensive academic credentials, including an MSc and BSc from the Technical University of Lisbon. As a Full Professor at the University of Oslo, he supervises multiple PhD and MSc students, demonstrating his commitment to education and mentorship.

👨‍🎓 Education:

Paulo Ferreira earned his PhD in Computer Systems from Université Pierre et Marie Curie in 1996, with equivalence from the Technical University of Lisbon in 1997. He holds an MSc (1992) and BSc (1988) in Electrotechnical Engineering from Instituto Superior Técnico.

🏫 Current Position:

He is a Full Professor at the University of Oslo in the Department of Informatics, supervising four PhD students and several MSc students.

📚 Teaching Experience:

Previously, he taught at the University of Lisbon, covering subjects like Operating Systems, Mobile Computing, and Distributed Systems.

🔬 Research Interests:

His research focuses on operating systems, distributed systems, middleware, and mobile computing, having supervised 14 PhD and over 70 MSc students.

🌍 Project Involvement:

Paulo has coordinated and participated in numerous national and international projects, including the EU-funded H2020 TRACE project and many others such as Comandos, Harness, and MoTiV.

💼 Professional Contributions:

He has served as Pro-Rector at the Technical University of Lisbon and consulted for various institutions on distributed systems, including security and Java virtual machines.

Publication top Notes:

flyDetect: An Android Application for Flight Detection

Emulation Tool For Android Edge Devices

EdgeEmu – Emulator for Android Edge Devices

GFogTMD: Generalizable and Real-Time Transport Mode Detection on Smartphones

GFogTMD: Generalizable and Real-Time Transport Mode Detection on Smartphones

Mr Anandarup Roy | Internet of Things | Best Researcher Award

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Mr Anandarup Roy| Internet of Things | Best Researcher Award

Mr Anandarup Roy,Senior Research Fellow, Indian Statistical Institute, Kolkata,India

Anandarup Roy is a Ph.D. candidate in Computer Science at the Indian Statistical Institute (ISI), Kolkata, specializing in combinatorial secret sharing. His thesis was submitted on July 19, 2024, and he expects to receive his degree by December 2024. He is advised by Prof. Bimal Kumar Roy and co-supervised by Prof. Mridul Nandi, both from the Applied Statistics Unit at ISI.

Professional Profile:

Summary of Suitability for the Best Researcher Award:

Anandarup Roy, a Ph.D. candidate at the Indian Statistical Institute, has made significant contributions to the field of computer science, particularly in combinatorial secret sharing. His research extends previous work in Bayesian incentive-compatible mechanism design and social learning, demonstrating a robust understanding of complex statistical models and their applications.

Education

He Naifeng is pursuing a PhD at the prestigious Nanjing University of Aeronautics and Astronautics, where he has built a strong foundation in automation and robotics. His academic journey reflects a commitment to advancing technology in mobile robotics, demonstrating a keen interest in both theoretical knowledge and practical applications.

Work Experience

From 2016 to 2018, Anandarup worked as a project-linked person at the Economics Research Unit of ISI, where he contributed to a project on Bayesian incentive-compatible mechanism design under the supervision of Prof. Manipushpak Mitra. This research extended his master’s thesis by examining learning processes in a social choice environment with risk-neutral agents.

Skills

Anandarup is proficient in using Linux OS (Ubuntu) and LaTeX. He possesses basic programming knowledge in C, making him well-equipped for computational tasks related to his research.

Research Focus

His research focuses on autonomous navigation for wheel-legged robots, with particular emphasis on reinforcement learning in control systems and intelligent motion control. He aims to develop practical applications that enhance the performance and adaptability of mobile robots in challenging environments.

Publication top Notes:

  • Combining Dynamic Selection and Data Preprocessing for Imbalance Learning
    Year: 2018
    Journal: Neurocomputing
    Volume/Pages: 286, 179-192
  • SVM-based Hierarchical Architectures for Handwritten Bangla Character Recognition
    Year: 2009
    Journal: International Journal on Document Analysis and Recognition (IJDAR)
    Volume/Pages: 12, 97-108
  • Lecithin and Venom Haemolysis
    Year: 1945
    Journal: Nature
    Volume/Pages: 155 (3945), 696-697
  • A Novel Approach to Skew Detection and Character Segmentation for Handwritten Bangla Words
    Year: 2005
    Journal: Digital Image Computing: Techniques and Applications (DICTA’05)
    Pages: 30-30
  • JCLMM: A Finite Mixture Model for Clustering of Circular-Linear Data and Its Application to Psoriatic Plaque Segmentation
    Year: 2017
    Journal: Pattern Recognition
    Volume/Pages: 66, 160-173
  • An HMM Framework Based on Spherical-Linear Features for Online Cursive Handwriting Recognition
    Year: 2018
    Journal: Information Sciences
    Volume/Pages: 441, 133-151
  • Pair-Copula Based Mixture Models and Their Application in Clustering
    Year: 2014
    Journal: Pattern Recognition
    Volume/Pages: 47 (4), 1689-1697
  • Character Segmentation for Handwritten Bangla Words Using Artificial Neural Network
    Year: 2005
    Journal: Proceedings of the 1st IAPR TC3 NNLDAR
  • SWGMM: A Semi-Wrapped Gaussian Mixture Model for Clustering of Circular–Linear Data
    Year: 2016
    Journal: Pattern Analysis and Applications
    Volume/Pages: 19, 631-645
  • Headline Based Text Extraction from Outdoor Images
    Year: Not specified (conference paper)
    Journal: Pattern Recognition and Machine Intelligence: 4th International Conference

Assoc Prof Dr. Anastasiia Shuba | Monitoring Award | Best Researcher Award

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Assoc Prof Dr. Anastasiia Shuba | Monitoring Award | Best Researcher Award 

Assoc Prof Dr. Anastasiia Shuba, Voronezh State University of Engineering Technologies, Russia

Dr. Anastasiia Shuba is an Associate Professor at Voronezh State University of Engineering Technologies, where she has been shaping the academic landscape since 2015. She earned her Master of Science in Chemistry and her Candidate of Chemical Science (PhD) from Voronezh State University and Voronezh State University of Engineering Technologies, respectively. With a career starting in 2009, Dr. Shuba has developed numerous courses and supervised various scientific projects. She has co-authored over 70 publications, 25 of which are indexed in Scopus. Her research has been supported by several grants and Federal Target Programs, focusing on advanced systems for environmental and food analysis. A two-time winner of the Presidential program for research projects, Dr. Shuba is also an expert reviewer for multiple scientific journals and actively contributes to scientific communities and councils in her region.

Professional Profile:

ORCID

 

Education:

  • Master of Science (Chemistry): Voronezh State University (Sep 2007 – Jul 2009)
  • Candidate of Chemical Science (Ph.D.): Voronezh State University of Engineering Technologies (Jan 2010 – Jun 2013)
  • Advanced Training Program in Science Administration: Sirius University, The Russian Presidential Academy of National Economy and Public Administration (Oct 2023 – Mar 2024) 🎓

Awards:

  • Winner of the Presidential Program of Research Projects (2018, 2022) 🏆

Expert Activity:

  • Reviewer for journals such as Sensors, Biosensors, and Micromachines
  • Chairman of the Council of Young Scientists of VSUET
  • Expert in various science and technology competitions 🏅

Research Participation:

  1. Federal Target Program on AI for environmental and food analysis (2009-2011)
  2. Grant for small enterprise development (2010-2011)
  3. U.M.N.I.K. program for mobile “gadget-nose” system (2018-2019)
  4. RSF grant on piezo nanobalances for milk safety (2022-2025) 🔬

Publication top Notes:

 

Possibilities of an Electronic Nose on Piezoelectric Sensors with Polycomposite Coatings to Investigate the Microbiological Indicators of Milk

Development of a Chemical Sensor Based on Deep Eutectic Solvents and Its Application for Milk Analysis

Application of Piezoelectric Sensors with Polycomposite Coatings for Assessing Milk Quality Indicators

“Electronic nose” signals correlation evaluation for nasal mucus and exhaled breath condensate of calves with the clinical and laboratory indicators