Dr. Wenjuan Liu | Resonators Awards | Best Researcher Award

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Dr. Wenjuan Liu | Resonators Awards | Best Researcher Award 

Dr. Wenjuan Liu, The Institute of Technological Sciences, Wuhan University, China

Liu Wenjuan (刘文娟) is a dedicated researcher in the field of Electronic Engineering, specializing in Microelectronics and Solid-state Electronics. she obtained her Ph.D. from Fudan University in 2020, where she focused on the fabrication of micromachined ultrasonic transducers. Liu has extensive international experience, having worked as a visiting student at CNRS-IEMN-DOAE UPHF in France, VIRTUS, School of EEE at NTU in Singapore, and completed an internship at the Institute of Microelectronics A*STAR in Singapore. Her research interests include acoustic sensors for RF and medical imaging, particularly the development of Aluminum Nitride piezoelectric micromachined ultrasonic transducers (PMUT) for high-resolution imaging. Liu has a strong background in Finite Element Method (FEM) modeling and has participated in multiple multi-project wafer (MPW) programs, utilizing EDA tools such as Cadence and Synopsys for circuit design and simulation.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award

Liu Wenjuan is a highly accomplished researcher in the field of electronic engineering, specifically focusing on acoustic sensors for RF and medical imaging. Her educational background includes a Ph.D. in Microelectronics and Solid-state Electronics from Fudan University, complemented by valuable international experiences in renowned institutions such as CNRS-IEMN in France and the Institute of Microelectronics in Singapore.

Education Background 🎓

  • Ph.D. in Microelectronics and Solid-state Electronics
    Fudan University, 09/2014 – 08/2020

    • Visiting Student at CNRS-IEMN-DOAE UPHF, France (10/2017 – 05/2019)
    • Intern at Institute of Microelectronics A*STAR, Singapore (06/2017 – 09/2017)
    • Visiting Student at VIRTUS, School of EEE NTU, Singapore (02/2016 – 09/2017)
  • M.S. in Integrated Circuit Engineering (Recommended)
    Tianjin University, 09/2011 – 01/2014
  • B.S. in Electronics Science and Technology
    Tianjin University, 09/2007 – 07/2011

Work Experience 💼

  • Ph.D. Researcher
    Fudan University

    • Research Focus: Fabrication of micromachined ultrasonic transducers (PMUT) for high-resolution imaging, using MEMS fabrication and integrated circuit technologies.
  • Project Leader
    Tianjin University

    • Design of Anti-attack Information Security Chip (2011.12 – 2014.1)
      • Led the project aimed at detection and defense against physical-invasive attacks. Integrated detection sensors into an independent IP core for monitoring physical environment variables.

Achievements 🏆

  • Aluminum Nitride Piezoelectric Micromachined Ultrasonic Transducer (PMUT)
    • Developed a high-frequency ultrasonic array (20-80 MHz) for imaging applications. Conducted theoretical simulations and realized designs using MEMS fabrication techniques.
  • Anti-attack Information Security Chip
    • Completed overall circuit design, layout design, and post-layout simulation. The chip was successfully taped out using SMIC 0.18µm and GF 0.18µm processes, and a patent was applied.

Awards and Honors 🎖️

  • The Excellent Graduate Student Scholarship, Fudan University (2015-2017)
  • Campus France Scholarship (2017-2019)
  • Excellent Student Cadre of Tianjin University (2012-2013, 2011-2012, 2009-2010)
  • Excellent Graduates of Tianjin University (01/2014, 06/2011)
  • Merit Student of Tianjin University (2010-2011)

Publication Top Notes:

A Near Spurious-free 6 GHz Laterally-excited Bulk Acoustic Resonator with Single-sided Wavy Electrodes

A Laterally Excited Bulk Acoustic Wave Resonator Based on LiNbO3 with Arc-Shaped Electrodes

A Sc0.096Al0.904N-Based Bimorph Piezoelectric MEMS Microphone Using 3 × 3 Circular Diaphragms

Suppression of spurious modes in lateral-excited bulk acoustic wave resonators using piston mode electrodes

Theoretical Analysis and Verification on ScAlN-Based Piezoelectric Micromachined Ultrasonic Transducers With DC Bias

A ScAlN-Based Piezoelectric MEMS Microphone With Sector-Connected Cantilevers

Prof. Dr. Xiaogang Lin | Biosensor Awards | Best Researcher Award

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Prof. Dr. Xiaogang Lin | Biosensor Awards | Best Researcher Award 

Prof. Dr. Xiaogang Lin, Chongqing University, China

Xiaogang Lin He earned his B.E. degree in Precision Instrument from Xi’an Technological University in 1998, followed by his M.A.Eng and Ph.D. degrees in Optical Engineering from Chongqing University in 2003 and 2008, respectively. Dr. Lin began his career as a technician at Mingguang Instrument Factory in 1998 before transitioning to academia as a Lecturer at Chongqing University’s College of Opto-electronic Engineering in 2003. He has since risen through the ranks, becoming an Assistant Professor, Associate Professor in 2010, and Professor in 2017. His research interests focus on photoelectric biosensing, biosensors, precision testing technology, and intelligent instruments, resulting in over 40 high-quality technical publications. Dr. Lin has also served as a visiting scholar at the University of Tennessee, Knoxville, in 2014 and 2017. He is an active member of the third Council of Opto-mechatronics Technology and Systems under the China Instrument and Control Society, as well as a senior member of the society. Additionally, he is an international TRIZ Association three-level certified expert and a national second-level innovation engineer. Dr. Lin has received the first prize of the Chongqing Science and Technology Progress Award and has hosted and participated in more than 20 provincial and ministerial research projects, including significant initiatives like the National Key R&D Program of China and the National Natural Science Foundation of China.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Xiaogang Lin

Dr. Xiaogang Lin is an outstanding candidate for the Best Researcher Award due to his extensive academic and professional achievements in the field of optical engineering and biosensing technologies. Born in Chongqing, China, in 1975, Dr. Lin has built a remarkable career, marked by significant contributions to research and education.

Education 🎓

  • B.E. in Precise Instrument
    Xi’an Technological University, Xi’an, China (1998)
  • M.A. in Optical Engineering
    Chongqing University, Chongqing, China (2003)
  • Ph.D. in Optical Engineering
    Chongqing University, Chongqing, China (2008)

Work Experience 💼

  • Technician
    Mingguang Instrument Factory, China (1998)
  • Lecturer
    College of Opto-electronic Engineering, Chongqing University (2003)
  • Assistant Professor
    College of Opto-electronic Engineering, Chongqing University (2003 – 2010)
  • Associate Professor
    College of Opto-electronic Engineering, Chongqing University (2010 – 2017)
  • Professor
    College of Opto-electronic Engineering, Chongqing University (2017 – Present)
  • Visiting Scholar
    University of Tennessee, Knoxville, USA (2014, 2017)

Achievements 🌟

  • Over 40 high-quality technical publications in the field of optical engineering and biosensing.
  • Member of the Third Council of Opto-mechatronics Technology and Systems, China Instrument and Control Society.
  • Senior member of the China Instrument and Control Society.
  • International TRIZ Association three-level certified expert.
  • National second-level innovation engineer.

Awards and Honors 🏆

  • First Prize of Chongqing Science and Technology Progress Award
    For significant contributions to the field of optical engineering and biosensing.
  • Hosted and participated in more than 20 provincial and ministerial research projects, including:
    • National Key R&D Program of China
    • National Natural Science Foundation of China

Publication Top Notes:

A Study on Pigment Composition of Buddhist Cave Paintings Based on Hyperspectral Technology

A Perovskite Material Screening and Performance Study Based on Asymmetric Convolutional Blocks

Advancements in Chemical and Biosensors for Point-of-Care Detection of Acrylamide

ACEK Biosensor for the Minute-Scale Quantification of Breast Cancer ctDNA

An alternating current electrokinetics biosensor for rapid on-site serological screening of Taenia solium cysticercosis infection

Dr. Bharga prajwal pathri | Swarm Intelligence Award | Best Researcher Award

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Dr. Bharga prajwal pathri | Swarm Intelligence Award | Best Researcher Award 

Dr. Bharga prajwal pathri, Woxsen University, India

Bhargav Prajwal Pathri is an Associate Professor and Programme Director of the Mechatronics Department at Woxsen University, Hyderabad, India. With a Ph.D. in Mechanical Engineering from the Malaviya National Institute of Technology (NIT) Jaipur, his research focuses on mechanical systems, automation, bio-printing, and IoT. He has a strong educational background, holding a Master’s degree in Automotive Engineering from Coventry University and a Bachelor’s degree in Mechanical Engineering from Jawaharlal Nehru Technological University. Bhargav has over nine years of experience in academia, having taught at various institutions including JK Lakshmipat University and Effat University. He is skilled in mechanical design and analysis using advanced software such as CATIA, SolidWorks, and Abaqus. In addition to his teaching role, he actively mentors students on projects, engages in research, and contributes to curriculum development. A passionate learner, Bhargav enjoys photography, traveling, reading novels, and riding cars and bikes in his free time. He is dedicated to fostering a creative learning environment and is committed to continuous professional growth.

Professional Profile:

ORCID

Summary of Bhargav Prajwal Pathri

Professional Overview: Bhargav Prajwal Pathri is an accomplished and versatile professional with nine years of experience in mechanical design, modeling, teaching, research, and project management. He currently serves as an Associate Professor and Programme Director in the Mechatronics Department at Woxsen University, Hyderabad.

Education:

  • Ph.D. in Mechanical Engineering
    Malaviya National Institute of Technology, Jaipur, India (2013 – 2018)

    • Project: Characterization and machinability study of various marble stones for sustainable processing.
  • M.Sc. in Automotive Engineering
    Coventry University, United Kingdom (2009 – 2010)

    • Project: Design and manufacturing of upright for a Formula One student sports car.
  • B.Tech in Mechanical Engineering
    Jawaharlal Nehru Technological University, Hyderabad, India (2004 – 2008)

    • Project: Development of variable part programming for turning centrifugal compressor impeller using SINUMERIK CNC System.

Work Experience:

  • Associate Professor
    Woxsen University, School of Technology, Hyderabad, India (Jan 2024 – Present)

    • Focused on teaching, research, and mentoring students on projects.
  • Assistant Professor
    Woxsen University, School of Technology, Hyderabad, India (Jan 2022 – Jan 2024)

    • Engaged in teaching and student mentorship.
  • Assistant Professor
    JK Lakshmipat University, Jaipur, India (July 2019 – Jan 2022)
  • Assistant Professor
    Effat University, Jeddah, Saudi Arabia (Nov 2018 – June 2019)
  • Research Scholar
    Malaviya National Institute of Technology, Jaipur, India (July 2013 – June 2018)

Key Skills and Expertise:

  • Proficient in CAD/CAE software: CATIA V5, Inventor, SolidWorks, Altair Hyperworks, and Abaqus.
  • Strong analytical skills in engineering design, quality inspection, and technical documentation.
  • Experienced in curriculum development and fostering a creative learning environment.
  • Demonstrated leadership in workshops and conferences related to engineering and technology.

Areas of Expertise:

🔧 Mechanical Design & Modelling
📊 Teaching Management
🛠️ Project Execution & Fulfillment
📚 Curriculum Development
🤝 Vendor Management
👩‍🏫 Training & Mentoring

Publication Top Notes

EcoSprout: Machine Learning-Powered Smart Sprinkler System

S3T: A New Self-Supervised Learning with Swin Transformer

Swarm Intelligence in Action: Particle Swarm Optimization and Rendezvous Algorithms for Swarm Robotics

Electric discharge machining: A comprehensive review for difficult to cut materials

Medical Imaging and Analysis of Thermal Necrosis During Bone Grinding: Implementation of Non-dominated Sorting Genetic Algorithm (NSGA-III) in Healthcare

 

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