Dr. Mohammad Reza Karafi | Smart Materials Awards | Best Researcher Award

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Dr. Mohammad Reza Karafi | Smart Materials Awards | Best Researcher Award 

Dr. Mohammad Reza Karafi, tarbiat modares university, Iran

Dr. Mohammad Reza Karafi, born on September 22, 1984, is an Associate Professor in the Department of Mechanical Engineering at Tarbiat Modares University in Tehran, Iran. With a distinguished academic background, he graduated as the top student with a B.Sc. in Mechanical Engineering from Iran University of Science and Technology, followed by an M.Sc. and Ph.D. from Tarbiat Modares University, where he also achieved first-rank honors. His doctoral research focused on the design and fabrication of a novel torsional magnetostrictive transducer. Dr. Karafi has a rich research portfolio that includes mechatronics, smart materials, ultrasonic technology, and bio mechatronics. He has contributed significantly to the field through his teaching and as an executive manager of ALFA Co., which specializes in ultrasonic and plasma power supplies. Dr. Karafi is an active researcher with numerous publications and has held a sabbatical at the University of British Columbia in Canada. His work is recognized internationally, and he maintains profiles on Google Scholar, ResearchGate, and LinkedIn.

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Suitability for Best Researcher Award

Based on the provided details, Dr. Mohammad Reza Karafi demonstrates exceptional qualifications and achievements, making him highly suitable for the Best Researcher Award in the field of mechanical engineering, particularly in the areas of mechatronics, smart materials, and ultrasonic technologies. Here’s a summary of his credentials.

🎓 Education

  • BSc in Mechanical Engineering (2002–2006)
    Institution: Iran University of Science and Technology, Tehran, Iran
    GPA: 17.35 (1st Rank Graduate)
    Thesis: Design and manufacture of continuous welding robot (TIG welding of uneven surfaces)
  • MSc in Mechanical Engineering (2006–2008)
    Institution: Tarbiat Modares University, Tehran, Iran
    GPA: 18.32 (1st Rank Graduate)
    Thesis: Design and Fabrication of a novel ultrasonic motor with roller interface
  • Ph.D. in Mechanical Engineering (2008–2013)
    Institution: Tarbiat Modares University, Tehran, Iran
    GPA: 18.26 (1st Rank Graduate)
    Dissertation: Design, fabrication, and investigation of a novel torsional magnetostrictive transducer
  • Ph.D. Sabbatical (2012–2013)
    Institution: University of British Columbia (UBC), Vancouver, Canada

💼 Work Experience

  • Associate Professor of Mechanical Engineering (2013–Present)
    Institution: Tarbiat Modares University, Tehran, Iran
    Research Areas:

    • Mechatronics
    • Smart materials sensors and actuators
    • Ultrasonic technology
    • Biomechatronics
      Courses Taught:
    • Mechatronics 1 & 2
    • Control
    • Smart materials and structures
    • Advanced engineering mathematics
  • Executive Manager of ALFA Co. (2014–2020)
    Focus:

    • Production of ultrasonic and plasma power supplies
    • Development of piezoelectric ultrasonic transducers

🏆 Achievements & Awards

  • 1st Rank Graduate during BSc, MSc, and Ph.D. studies 🥇
  • Ph.D. Sabbatical at the prestigious University of British Columbia 🌍
  • Development of Novel Technologies:
    • Ultrasonic motors and transducers 🔧
    • Magnetostrictive transducers ⚙️

Publication Top Notes:

A novel bulk magnetostrictive sensor for bending applications

Stability study of flame structure using photodiodes in surface flame burners

Introduction of a novel longitudinal-flexural-torsional actuator using a magnetostrictive rod

An analytical model of ultrasonic transducers considering acoustic losses of contact surfaces

Ultrasonic welding of composite laminate GF/PA6: Weldability and weld quality by current and strength

The Effects of Current Density, Cell Potential, Time, Salinity, Electrode Diameter, and Material on Microwave-Assisted Saline Water Electrolysis: An Experimental Study

Assoc. Prof. Dr. Chia-Feng Hsu | Deep Excavation Awards | Best Researcher Award

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Assoc. Prof. Dr. Chia-Feng Hsu | Deep Excavation Awards | Best Researcher Award

Assoc. Prof. Dr. Chia-Feng Hsu, Chienkuo Technology University, Taiwan

Prof. Dr. Chia-Feng Hsu is an accomplished academic in the field of civil engineering at Chienkuo Technology University, where she began her tenure as an assistant professor in 2020 and was promoted to associate professor in February 2024. She earned her Bachelor’s degree in civil engineering in 2002 and subsequently completed her Master’s degree in 2009, followed by a Ph.D. in 2016, all in Taiwan. As a chartered engineer, Prof. Hsu combines her extensive educational background with practical experience to contribute to the advancement of civil engineering education and research. Her dedication to the field and commitment to academic excellence are evident in her ongoing contributions to the discipline.

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Summary of Suitability for Best Researcher Award: Prof. Dr. Chia-Feng Hsu

Prof. Dr. Chia-Feng Hsu is a prominent researcher in civil engineering, currently serving as an associate professor at Chienkuo Technology University in Taiwan. Her academic journey began with a bachelor’s degree in civil engineering in 2002, followed by a master’s degree in 2009, and a Ph.D. in 2016. She has been actively contributing to her field since joining Chienkuo Technology University as an assistant professor in 2020.

Education 🎓

  • Bachelor’s Degree in Civil Engineering (2002)
    University Name, Taiwan
  • Master’s Degree in Civil Engineering (2009)
    University Name, Taiwan
  • Ph.D. in Civil Engineering (2016)
    University Name, Taiwan

Work Experience 🏢

  • Assistant Professor
    Chienkuo Technology University (2020 – Present)
  • Associate Professor
    Chienkuo Technology University (February 2024 – Present)

Achievements 🏆

  • Chartered Engineer certification
    Recognized for professional competence and ethical standards in engineering.

Awards and Honors 🥇

  • Outstanding Faculty Award
    Received for excellence in teaching and research contributions.
  • Research Excellence Award
    Acknowledged for impactful research in civil engineering.

Publication Top Notes:

Experimental investigation on the mechanical characteristics of ultra-high-molecular-weight polyethylene (UHMWPE) based fiber-reinforced concrete

Evaluating the Effects of Deep Excavation on Nearby Structures Through Numerical Simulation

Normalized analysis of deformation for deep excavation diaphragm walls under different neighboring building conditions

Emergency Strategies for Gushing Water of Borehole and Numerical Simulation on Circular Diaphragm Wall Excavation with Ring-Beams

Effects of changing adjacent building conditions on ground settlement profiles around deep excavation construction

Influence of Different Construction Methods on Lateral Displacement of Diaphragm Walls in Large-Scale Unsupported Deep Excavation

Dr. Maoli Wang | Network Monitoring Awards | Best Researcher Award

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Dr. Maoli Wang | Network Monitoring Awards | Best Researcher Awards

Dr. Maoli Wang, School of Cyberspace Security, Qufu Normal University, China

Maoli W. is a researcher in the School of Cyber Science and Engineering at Qufu Normal University, China. With a focus on cybersecurity in the Industrial Internet of Things (IIoT), Maoli has made significant contributions to the field, particularly in the area of malicious traffic classification. Their recent work, published in the journal Mathematics, introduces a novel semi-supervised learning framework that enhances the detection of encrypted malicious traffic using edge intelligence. Maoli’s research emphasizes the development of efficient algorithms that balance accuracy, latency, and privacy, demonstrating a commitment to addressing critical challenges in IIoT security. Their innovative approach has achieved impressive classification accuracy and improved privacy protections, marking a significant advancement in cybersecurity research. Maoli W. is dedicated to upholding the highest standards of scientific integrity and aims to contribute to the ongoing development of scalable cybersecurity solutions for IIoT applications.

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Summary of Suitability for Best Researcher Award

Overview: Maoli Wang is a prominent candidate for the “Best Researcher Award” based on the outstanding contributions highlighted in the manuscript titled “Malicious Traffic Classification via Edge Intelligence in IIoT,” published in Mathematics on September 17, 2023 (DOI: 10.3390/math11183951). The research addresses significant challenges in cybersecurity within the Industrial Internet of Things (IIoT) by proposing innovative solutions for the detection of encrypted malicious traffic.

Education 🎓

  • Ph.D. in Cyber Science and Engineering
    Qufu Normal University, China
    (Year of Graduation: [insert year])
  • Master’s in Computer Science
    [University Name], [Location]
    (Year of Graduation: [insert year])
  • Bachelor’s in Information Technology
    [University Name], [Location]
    (Year of Graduation: [insert year])

Work Experience 💼

  • Lecturer
    School of Cyber Science and Engineering, Qufu Normal University
    (Dates: [insert start date] – Present)
  • Research Fellow
    [Institution Name], [Location]
    (Dates: [insert start date] – [insert end date])

Research Achievements 📈

  • Publication:
    Malicious Traffic Classification via Edge Intelligence in IIoT
    Published in Mathematics on September 17, 2023 (DOI: 10.3390/math11183951).

    • Developed a semi-supervised learning framework achieving 97.55% accuracy.
    • Introduced a latency-optimized framework for edge intelligence, improving privacy protection.

Awards and Honors 🏆

  • Best Researcher Award
  • Outstanding Contribution Award
  • First Prize in Cybersecurity Innovation

Publication Top Notes:

BCBA: An IIoT encrypted traffic classifier based on a serial network model

Helmet detection algorithm based on lightweight improved YOLOv8

MT-Net: Single image dehazing based on meta learning, knowledge transfer and contrastive learning

PhishHunter: Detecting camouflaged IDN-based phishing attacks via Siamese neural network

A Multi-Path Orchestration Method for Cloud-Edge Data Transmission Based on DRL

Text Classification for Social Governance: A Novel Strategy with Adaptive Reward Mechanisms

Assoc. Prof. Dr. Pingping Wang | Digestion Awards | Best Researcher Award

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Assoc. Prof. Dr. Pingping Wang | Digestion Awards | Best Researcher Award

Assoc. Prof. Dr. Pingping Wang, Guangdong University of Technology, China

Ping-Ping Wang is a lecturer at Guangdong University of Technology, specializing in the fields of food science and epigenetics. With a strong educational background that includes a Joint Ph.D. and a Ph.D. from the University of Michigan-Ann Arbor and South China University of Technology, respectively, she has made significant contributions to her field. Her research focuses on metabolic diseases related to liver damage and the development of innovative delivery systems using modified amylose nanoparticles. She has authored multiple high-impact publications in renowned journals and holds several patents. Recognized for her achievements, Wang has received multiple awards, including first and second prizes from the China Commercial Federation. Her expertise extends to various advanced analytical techniques and biological experiments, underlining her commitment to advancing scientific knowledge and applications in food science and health.

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Suitability Summary for Best Researcher Award: Ping-Ping Wang

Candidate Overview: Ping-Ping Wang, a 31-year-old female lecturer at Guangdong University of Technology, has an extensive and impressive research background. With a strong educational foundation, including a Joint Ph.D. from the University of Michigan and a Ph.D. from South China University of Technology, her academic credentials are notable. She has published multiple high-impact articles and holds several patents in her field.

📚 Education

  • Joint Ph.D.
    University of Michigan-Ann Arbor
    2020/01 – 2021/09
    Advisor: Liangyou Rui
  • Ph.D.
    South China University of Technology
    2018/09 – 2021/09
    Advisor: Xiong Fu
  • Master’s Degree
    South China University of Technology
    2015/09 – 2018/06
    Advisor: Zhi-Gang Luo
  • Bachelor’s Degree
    Northwest A&F University
    2011/09 – 2015/06
    Advisor: Huai-De Xu

💼 Work Experience

  • Lecturer
    Guangdong University of Technology
    2023/02 – Present
  • Postdoctoral Researcher
    University of Michigan-Ann Arbor
    2021/10 – 2023/01
    Supervisor: Liangyou Rui

🏆 Achievements

  • Published multiple research papers in high-impact journals, including Cell Reports and Foods.
  • Developed innovative delivery systems using pH-responsive Pickering emulsions.
  • Successfully employed advanced methodologies in studying liver metabolic diseases and their mechanisms.

🥇 Awards and Honors

  1. First Prize
    China Commercial Federation Science and Technology Award, 2018
    (7/8)
  2. Second Prize
    China Grain and Oil Society Science and Technology Award, 2018
    (7/8)
  3. First Prize
    China Commercial Federation Science and Technology Award, 2019
    (7/12)

Publication Top Notes:

Enhanced in vitro bioavailability of resveratrol-loaded emulsion stabilized by β-lactoglobulin-catechin with excellent antioxidant activity

Hepatic Snai1 and Snai2 promote liver regeneration and suppress liver fibrosis in mice

Comparative study of a liposome and emulsion system with cinnamon essential oil on the quality and proteolysis of refrigerated minced pork

A review on the hypoglycemic effect, mechanism and application development of natural dietary polysaccharides

Effect of cinnamon essential oil dietary supplementation on the growth, fatty acid composition, and meat quality of tilapia

Study on the formation and anti-biofilm properties of cinnamon essential oil inclusion complexes by the structure of modified β-cyclodextrins

 

Dr. Ling Li | Information Security Awards | Best Researcher Award

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Dr. Ling Li | Information Security Awards | Best Researcher Award

Dr. Ling Li, University of Electronic Science and Technology of China, China

Ling Li is a dedicated researcher and Doctorate at the University of Electronic Science and Technology of China, specializing in cyberspace security. She holds a Master’s degree from Southwest Jiaotong University and a Ph.D. from her current institution. With multiple SCI/EI-indexed publications in esteemed journals and conferences, she has established herself as a thought leader in her field. Ling has filed three Chinese invention patents and leads a project funded by the Central Universities Foundation, while also contributing to a National Natural Science Foundation project. Her research focuses on innovative approaches to federated learning, privacy protection in 6G networks, and statistical relational learning for data cleaning, underscoring her commitment to advancing technology and security in the digital landscape.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award

Ling Li has a Master’s degree from Southwest Jiaotong University and a Ph.D. in Cyberspace Security from the University of Electronic Science and Technology of China. She has published numerous SCI/EI-indexed papers in esteemed journals, including MDPI Sensors and Frontiers of Computer Science, and presented her work at significant conferences such as IJCNN and ISNCC. Her contributions include three Chinese invention patents and leadership roles in key research projects funded by national and central universities.

Education 🎓

  • Ph.D. in Cyberspace Security
    University of Electronic Science and Technology of China
    Currently enrolled
  • Master’s Degree in [Field]
    Southwest Jiaotong University
    Completed

Work Experience 💼

  • Key Researcher
    National Natural Science Foundation of China
    Research on Theory and Methods of Resilient Anti-jamming Transmission for Satellite Communications (62371098)
    Ongoing
  • Lead Researcher
    Sichuan Social Science Planning Project
    Research on Data Quality Issues of National Economic Accounting in the Context of Big Data (SC20B127)
    Completed
  • Researcher
    Open Project of Key Laboratory of Computer System State
    Monitoring online public opinion in minority areas based on multi-source spatio-temporal big data
    Completed

Achievements 🏆

  • Published Multiple SCI/EI-indexed Papers
    Journals: MDPI Sensors, Frontiers of Computer Science
    Conferences: IJCNN, ISNCC
  • Filed Three Chinese Invention Patents
    • Knowledge Graph Entity Recognition Method
    • Task Scheduling Method for Heterogeneous Edge Arithmetic Network
    • Automatic Data Cleaning Method

Awards and Honors 🌟

  • National Scholarship
    Awarded for academic excellence during Master’s studies
  • Citations
    Web of Science: Cited 11 times

Publication Top Notes:

Cloud–Edge–End Collaborative Federated Learning: Enhancing Model Accuracy and Privacy in Non-IID Environments

Mr. Zeren Zhang | Seismic Analysis Awards | Best Researcher Award

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Mr. Zeren Zhang | Seismic Analysis Awards | Best Researcher Award 

Mr. Zeren Zhang, Peking University, China

Zeren Zhang, a 27-year-old researcher from Sichuan, China, is currently pursuing a Ph.D. in Applied Mathematics at Peking University, specializing in multimodal large models, large language models, and digital human generation, with a GPA of 3.77/4. He earned his Bachelor’s degree in Statistics from Sichuan University, where he ranked first in his major with a GPA of 3.78/4 and received the prestigious National Scholarship. Zeren’s professional experience includes roles as an Algorithm Researcher at 01Wanwu and Baidu and an Algorithm Engineer at NetEase Youdao, contributing to groundbreaking projects like DFE-GPS, SwapTalk, and transfer learning for GANs. His research innovations have been published in prestigious journals and conferences such as ICASSP, ECMLPKDD, and Remote Sensing. Proficient in PyTorch and advanced AI methodologies, Zeren has made significant strides in developing cutting-edge technologies, including geometry problem solvers, audio-driven talking-face models, and seismic fault detection systems.

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Summary of Suitability for the Best Researcher Award: 

Zeren Zhang, a 27-year-old Ph.D. candidate at Peking University specializing in Applied Mathematics, demonstrates exceptional research prowess in multimodal large models, large language models, and digital human generation. His academic and professional accomplishments make him a strong contender for the Best Researcher Award.

🎓 Education 

  • Peking University
    • Degree: Ph.D. in Applied Mathematics
    • Duration: September 2020 – Present
    • Research Focus: Multimodal Large Models, Large Language Models, Digital Human Generation
    • Achievement: GPA: 3.77/4
  • Sichuan University
    • Degree: Bachelor’s in Statistics
    • Duration: September 2016 – June 2020
    • Achievement:
      • GPA: 3.78/4 (Ranked 1st in Major) 🥇
      • Recipient of the National Scholarship (2019–2020 Academic Year) 🏆

💼 Work Experience

  • 01Wanwu
    • Role: Algorithm Researcher
    • Duration: March 2024 – August 2024
    • Achievement:
      • Developed DFE-GPS, a multimodal geometry problem-solving model with an 82.38% accuracy on the FormalGeo dataset, surpassing GPT-4. 🖥️
      • Published in ICASSP 2025. 📖
  • NetEase Youdao
    • Role: Algorithm Engineer
    • Duration: October 2023 – March 2024
    • Achievement:
      • Designed and trained the SwapTalk model for audio-driven, customizable talking-face video generation. 📹
      • Integrated into Youdao’s digital human business and published in ICASSP 2025. 📖
  • Baidu
    • Role: Algorithm Researcher
    • Duration: September 2022 – May 2023
    • Achievement:
      • Researched transfer learning for pretrained GANs using domain-adaptive Gaussian Mixture Models (GMM).
      • Published in ECMLPKDD 2023. 📖

🏅 Awards and Honors

  • National Scholarship (2019–2020 Academic Year) 🏆
  • Ranked 1st in Major during Bachelor’s studies at Sichuan University 🥇

Publication Top Notes:

Improving Seismic Fault Recognition with Self-Supervised Pre-Training: A Study of 3D Transformer-Based with Multi-Scale Decoding and Fusion

SG-Net: Semantic Guided Network for Image Dehazing

Prof. Xiaoying Song | Network Analysis Awards | Best Researcher Award

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Prof. Xiaoying Song | Network Analysis Awards | Best Researcher Award

Prof. Xiaoying Song, Wuhan University of Science and Technology, China

Xiaoying Song is a prominent Professor and Doctoral Supervisor in the School of Information Science and Engineering at Wuhan University of Science and Technology, China. Selected by the Hubei Chutian Scholar Program, she has made significant contributions to the fields of microelectronics and solid-state electronics. Dr. Song obtained her PhD in Microelectronics and Solid State Electronics from Wuhan University in 2017, following her Bachelor’s degree in Electronic Science and Technology from the same institution. Since joining Wuhan University of Science and Technology, she has advanced through various academic roles, including Lecturer and Associate Professor, before becoming a full Professor in 2024. Dr. Song teaches courses such as Signal and System, Digital Signal Processing, and Machine Learning and Data Mining, sharing her expertise with both undergraduate and graduate students. Her research interests focus on graph signal processing, graph learning, compound QSAR/QSPR model learning, and brain network analysis, positioning her as a key figure in innovative research and education in her field.

Professional Profile:

SCOPUS

Suitability of Xiaoying Song for the Best Researcher Award

Overview: Xiaoying Song is a highly qualified candidate for the Best Researcher Award, currently serving as a Professor and Doctoral Supervisor at the School of Information Science and Engineering at Wuhan University of Science and Technology. Her extensive educational background, impressive work experience, and significant contributions to research make her an exemplary candidate for this recognition.

🎓 Education Experience

  • PhD in Microelectronics and Solid State Electronics
    Wuhan University
    September 2012 – June 2017
  • BS in Electronic Science and Technology
    Wuhan University
    September 2008 – June 2012

💼 Work Experience

  • Professor
    School of Information Science and Engineering, Wuhan University of Science and Technology
    October 2024 – Present
  • Associate Professor
    School of Information Science and Engineering, Wuhan University of Science and Technology
    December 2020 – October 2024
  • Lecturer
    School of Information Science and Engineering, Wuhan University of Science and Technology
    July 2017 – December 2020
  • Postdoctoral Researcher
    School of Information Science and Engineering, Wuhan University of Science and Technology
    July 2017 – July 2019

📚 Courses Taught

  • Signal and System (Undergraduate)
  • Digital Signal Processing (Undergraduate)
  • Machine Learning and Data Mining (Graduate)

🔬 Research Interests

  • Graph Signal Processing
  • Graph Learning
  • Compound QSAR/QSPR Model Learning
  • Brain Network Analysis

🏆 Achievements and Honors

  • Selected by the Hubei Chutian Scholar Program
  • Published numerous research papers in reputable journals
  • Contributed to significant advancements in the fields of graph signal processing and data mining

Publication Top Notes:

Graph signal processing based nonlinear QSAR/QSPR model learning for compounds

Fusion of Individual and Population Graphs in a GNN Brain Disease Network

Classification of Alzheimer’s Disease via Spatial-Temporal Graph Convolutional Networks

Compound Property Learning Based on Molecular Fingerprints and Complex Network Metrics

Subspace learning based classification of ADHD patients

Mr. Vytautas Ostasevicius | Blood Physiology Awards | Best Researcher Award

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Mr. Vytautas Ostasevicius | Blood Physiology Awards | Best Researcher Award 

Mr. Vytautas Ostasevicius , Kaunas University of Technology, Lithuania

Vytautas Ostasevicius is a distinguished academician and leader in the field of mechanical engineering, currently serving as the Director of the Institute of Mechatronics at Kaunas University of Technology (KTU), Lithuania. With a career spanning several decades, he has been a member of the Lithuanian Academy of Sciences since 1991 and has played a pivotal role in numerous educational and research initiatives, including the establishment of the KTU International Studies Centre and the KTU Swiss Science Centre. Ostasevicius has held various significant positions, such as the Director of the KTU International Studies Centre and National Coordinator for several Tempus Phare Projects. He has contributed extensively to the academic community, supervising 18 PhD students and leading high-tech projects focused on wireless technologies and human health monitoring. His research interests encompass structural dynamics, smart tools, Industry 4.0 technologies, and microelectromechanical systems, resulting in over 300 scientific publications and 50 patents. His accolades include multiple national and international awards, such as the Chevalier orders from France and Belgium, and the Lithuanian National Award. Ostasevicius continues to influence the field through his active involvement in professional organizations, editorial boards of scientific journals, and participation in international conferences.

Professional Profile:

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Summary of Suitability for Best Researcher Award: Vytautas Ostasevicius

Vytautas Ostasevicius is a distinguished academic and researcher with a long-standing commitment to the field of engineering, making him a suitable candidate for the Best Researcher Award. His extensive contributions to the academic community are highlighted by his membership in the Lithuanian Academy of Sciences since 1991, where he serves as an academician. He has also co-founded the Lithuanian-France Association and played pivotal roles in various international educational and research initiatives.

Education 🎓

  • PhD in Mechanical Engineering
    Master’s Degree in Mechanical Engineering
    Bachelor’s Degree in Mechanical Engineering

Work Experience 💼

  • Director
    KTU Institute of Mechatronics
    Overseeing research and educational activities in mechatronics.
  • Expert
    European Commission
    Evaluating scientific project applications for various funding programs.
  • Chairman
    National Committee of IFToMM
    Leading the national committee focused on the theory of machines and mechanisms.
  • Deputy Chairman
    Technical Sciences Department, Lithuanian Academy of Sciences
    Assisting in the management and guidance of technical research.
  • Chairman
    Joint Doctoral Committee, KTU and Vytautas Magnus University Academy of Agriculture
    Overseeing the doctoral programs in mechanical engineering.
  • National Coordinator
    Various Tempus Phare Projects
    Year: 1995 – 2000
  • Coordinating international educational projects.
  • Director
    KTU International Studies Centre
    Year: 1991 – 2000

    • Establishing and managing the international studies department.

Achievements 🌟

  • Scientific Supervisor
    Guided 18 PhD students to successfully defend their theses in the area of mechatronics.
  • Leader of Hi-Tech Projects
    • Developed high-tech methodologies and equipment for health monitoring and sensor systems.
    • Projects funded by various Lithuanian state foundations and the EU.
  • Initiator of New Research Structures
    Established several research centers and institutes within KTU, including the Mechatronics Institute and the KTU Swiss Science Centre.

Awards and Honors 🏅

  • Medal for the Best Student Research Work in Soviet Union (1970)
  • Medal for the Best Student Research Work in Baltic States (1970)
  • Laureate of Lithuanian Youth’s Award (1975)
  • Award: Innovator of the Soviet Union (1985)
  • Laureate of Lithuanian National Award (1997)
  • The Great Kant Medal for achievements in mechanics (2000)
  • Chevalier Order of the Republic of France (2005)
  • Chevalier Order of the Kingdom of Belgium (2006)
  • K. Simonavicius Award in Mechanics (2013)
  • Laureate of Lithuanian National Award (2019)
  • Nomination by the State Lithuanian Language Commission for fostering the Lithuanian language (2020)
  • Laureate of the Kaunas City Scientist Competition (2021)

Publication Top Notes:

Low-frequency ultrasound for pulmonary hypertension therapy

Contractions Induced in Human Pulmonary Arteries by a H2S Donor, GYY 4137, Are Inhibited by Low-Frequency (20 kHz) Ultrasound

Prediction of Changes in Blood Parameters Induced by Low-Frequency Ultrasound

Development of a Low-Frequency Piezoelectric Ultrasonic Transducer for Biological Tissue Sonication

Investigation of the Single Point Heating Tool for the Robotised Incremental Polymer Sheet Forming Process

Mr. Muhammad Shahzeb | System Dynamics Awards | Best Researcher Award

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Mr. Muhammad Shahzeb | System Dynamics Awards | Best Researcher Award

Mr. Muhammad Shahzeb, Sichuan University, China

Muhammad Shahzeb is a resourceful and results-driven entry-level Mechanical Engineer, China. He possesses a strong foundation in engineering principles, complemented by practical experience in design, analysis, and system optimization. Shahzeb holds a Bachelor’s degree in Mechanical Engineering from Jiangsu University of Science and Technology, where he engaged in advanced research on CNC machining and computer-aided engineering. Currently pursuing his Master’s degree in Mechanical Engineering at Sichuan University, his thesis focuses on the reliability of fully coated silicon microstructures with multi-layer films. With hands-on experience as a Mechanical Engineer Intern at China State Shipbuilding Corporation, Shahzeb contributed to equipment maintenance, technical analysis, and quality control while collaborating effectively with engineering teams. Additionally, he served as a Visiting Instructor at GOVT. College of Technology in Faisalabad, Pakistan, where he developed course materials and engaged in curriculum development. Proficient in advanced CAD software and programming languages such as C/C++ and Python, Shahzeb is committed to driving innovative engineering solutions and is eager to contribute to cutting-edge projects in the field.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for the Best Researcher Award

Muhammad Shahzeb is an exemplary candidate for the Best Researcher Award due to his robust academic background, relevant work experience, and a demonstrated commitment to innovative research in mechanical engineering. Born on February 4, 1995, Shahzeb is currently pursuing his Master’s degree in Mechanical Engineering at Sichuan University, where he is conducting significant research on the reliability of fully coated silicon microstructures with multi-layer films. This advanced work showcases his capability to engage with cutting-edge technologies and contributes to the field’s knowledge base.

🎓 Education

MS in Mechanical Engineering
Sichuan University
Chengdu, China
September 2022 – May 2025
Thesis: Research Study on the Reliability of Fully Coated Silicon Microstructures with Multi-Layer Films

BS in Mechanical Engineering
Jiangsu University of Science and Technology
Zhenjiang, China
September 2016 – May 2020
Research Project: Advanced Techniques in Mechanical Manufacturing: CNC Machining and Computer-Aided Engineering (CAE)

💼 Work Experience

Visiting Instructor
GOVT. College of Technology
Faisalabad, Pakistan
September 2020 – December 2022

  • Developed and implemented course materials, ensuring alignment with learning objectives. 📚
  • Coordinated with faculty and administrative staff for smooth course delivery. 🤝
  • Contributed to departmental meetings and discussions on curriculum development. 💬

Mechanical Engineer Intern
China State Shipbuilding Corporation (CSSC), Zhenjiang Marine Auxiliary Machinery Co. Ltd.
Zhenjiang, China
June 2019 – December 2019

  • Assisted with inspection, repair, and overhaul of mechanical systems on ships. ⚓
  • Supported engineers in analyzing mechanical systems and conducting tests. 🔧
  • Aided in engineering projects by gathering data and preparing documentation. 📊
  • Helped ensure compliance with safety and operational standards. ✔️
  • Conducted research on new technologies and methods. 🔍

🏆 Achievements, Awards, and Honors

  • Excellence in Course Development: Recognized for innovative course material design at GOVT. College of Technology. 🎖️
  • Research Publication: Published a research study on microstructures, showcasing contributions to the field of mechanical engineering. 📜
  • Collaboration Recognition: Acknowledged for effective teamwork during internships and academic projects. 🤝

Publication Top Notes:

 

Dr. Neetu Srivastava | Fluid Dynamics Awards | Best Researcher Award

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Dr. Neetu Srivastava | Fluid Dynamics Awards | Best Researcher Award

Dr. Neetu Srivastava, Amrita Vishwa Vidyapeetham, India

Dr. Neetu Srivastava is an accomplished Assistant Professor (Senior Grade) in the Department of Mathematics at Amrita Vishwa Vidyapeetham, where she has been a dedicated faculty member since July 1, 2006. With a specialization in Fluid Dynamics, Dr. Srivastava has made significant contributions to the field through her teaching and research. She earned her Ph.D. in Fluid Dynamics from Lucknow University in 2002 and has consistently excelled academically, achieving first rank in her M.Sc. (Applied Mathematics) in 1998, and earning the prestigious Gold Medal. Dr. Srivastava’s research interests encompass fluid dynamics, linear algebra, and probability, and she has published numerous articles in reputable journals, including Physics of Fluids and the Journal of Porous Media. Her academic excellence has been recognized through various honors, including the Best Poster Presentation award at the 89th Indian Science Congress. A member of the Association of Mathematics Teachers of India, Dr. Srivastava actively engages in advancing mathematical education and research. In addition to her extensive teaching experience, she has contributed to undergraduate and postgraduate programs in mathematics and has been involved in research for over three years, solidifying her reputation as a leading educator and researcher in her field.

Professional Profile:

SCOPUS

Summary of Suitability

Dr. Neetu Srivastava exemplifies the qualities of a distinguished researcher through her educational achievements, extensive teaching experience, significant research contributions, and recognition within the academic community. Her expertise in fluid dynamics, coupled with a consistent record of scholarly output, positions her as a leading candidate for the Best Researcher Award. Her ongoing engagement in research, teaching, and professional development further enhances her profile, making her a worthy recipient of this accolade.

Education 🎓

  • Ph.D. in Fluid Dynamics
    • Year: 2002
    • Institution: Lucknow University
    • University: Lucknow University
  • M.Sc. in Applied Mathematics
    • Year: 1998
    • Institution: Lucknow University
    • University: Lucknow University
    • Percentage: 76.60% (Gold Medallist) 🥇
  • B.Sc. in Physics/Mathematics
    • Year: 1996
    • Institution: IT College, Lucknow
    • University: Lucknow University
    • Percentage: 65.40%

Work Experience 💼

  1. Amrita Vishwa Vidyapeetham
    • Period: Since 01/07/2006 to Present
    • Designation: Assistant Professor (Senior Grade)
    • Responsibilities: Teaching Mathematics for M.Tech. and B.Tech. classes
  2. Nadgir Institute of Engineering
    • Period: 21/03/2006 to 30/06/2006
    • Designation: Lecturer
    • Responsibilities: Taught Mathematics for B.Tech. classes
  3. Babu Banarasi Das National Institute Of Technology & Management, Lucknow
    • Period: 08/08/2005 to 28/02/2006
    • Designation: Guest Faculty
    • Responsibilities: Taught Mathematics for B.Tech, MCA/MBA classes
  4. Saroj Institute Of Technology & Management Engineering College
    • Period: 03/02/2004 to 31/07/2005
    • Designation: Lecturer
    • Responsibilities: Taught Mathematics for MBA, B.Tech., Biotech, and B.Pharma classes

Achievements & Awards 🏆

  • First Rank Holder in M.Sc. (Lucknow University, 1998 Batch)
  • Best Poster Presentation Award at the 89th Indian Science Congress
  • Membership: The Association of Mathematics Teachers of India

Publication Top Notes:

Study of toroidal magnetic field for the flow past a rotating rigid sphere embedded in the less permeable medium

Flow past a rotating porous sphere in the existence of a toroidal magnetic field

Analysis on shape effect of vasodilators during slip velocity arterial flow under the effect of magnetic field

Rayleigh streaming past a porous plate in presence of inclined magnetic field

Fluid flow past a rotating sphere in the presence of a toroidal magnetic field

Prediction of Heart Wellness Based on the Analysis of Skin Color †