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:

SCOPUS

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 †

 

Dr. Caixia Cai | Green Connectivity Awards | Best Researcher Award

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Dr. Caixia Cai | Green Connectivity Awards | Best Researcher Award 

Dr. Caixia Cai, Shanghai Maritime University, China

Caixia Cai, also known as Jessica Cai, is a dedicated lecturer at Shanghai Maritime University, where she has been contributing to the field of information and communication intelligence systems since September 2020. she completed her B.S. in Communication Engineering at East China Jiaotong University in 2013, focusing on the design and implementation of local network systems based on GSM for railway applications. Cai pursued her Ph.D. at Donghua University, where she researched energy efficiency in wireless networks using cooperative relay systems under the supervision of Professor Runhe Qiu. Additionally, she was a joint Ph.D. student at the University of Delaware, collaborating with Professor Xiang-Gen Xia on mathematical theories and methods in wireless communications. Her research interests encompass multiple-input multiple-output (MIMO) systems, cooperative relays, green communication in wireless networks, and underwater acoustic sensor networks. Cai actively contributes to the academic community as a volunteer reviewer for several prestigious journals and conferences, including IET Communications and IEEE Transactions on Green Communication and Networking. Her work aims to advance the understanding and efficiency of communication systems, reflecting her commitment to innovation and excellence in the field.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award:

Dr. Caixia Cai is a promising candidate for the Best Researcher Award due to her significant contributions to the field of wireless communications, particularly in energy efficiency and innovative transmission strategies. Currently a lecturer at Shanghai Maritime University, her academic journey includes extensive research experience and collaborative projects at prestigious institutions like the University of Delaware.

🎓 Education

  • Ph.D. Candidate
    Field: Information & Communication Intelligence System
    Institution: Donghua University, Shanghai, China
    Duration: June 2020 – September 2014
    Advisor: Professor Runhe Qiu
    Research Project: Research on Energy Efficiency of Wireless Network Based on Cooperative Relay
  • Joint Ph.D. Student
    Department: Electrical and Computer Engineering
    Institution: University of Delaware, Newark, Delaware, USA
    Duration: September 2017 – September 2019
    Advisor: Professor Xiang-Gen Xia
    Research Project: Mathematical Theory and Methods on Wireless Communications
  • B.S.
    Field: Communication Engineering
    Institution: East China Jiaotong University, Nanchang, China
    Duration: September 2009 – July 2013
    Advisor: Professor Yuejin Zhang
    Research Project: Design and Implementation of Local Network Side Based on GSM-Railway System

💼 Work Experience

  • Lecturer
    Institution: Shanghai Maritime University
    Duration: September 2020 – Present

🏆 Achievements

  • Conducted significant research in areas such as MIMO, cooperative relay, and green communication in wireless networks.
  • Contributed to the development of underwater acoustic sensor networks.

🌟 Awards and Honors

  • Served as a volunteer reviewer for esteemed journals and conferences, including:
    • IET Communications
    • Electrical Letters
    • IEEE Access
    • IEEE Transactions on Green Communication and Networking
    • IEEE Conference on Communication

Publication Top Notes:

Energy-efficient two-way full-duplex relay transmission strategy with SWIPT and direct links

Energy-Efficient Adaptive Bidirectional Transmission Strategy in Simultaneous Wireless Information and Power Transfer (SWIPT)-Enabled Cognitive Relay Network

A REVIEW OF KEY TECHNOLOGIES OF SHORE POWER SYSTEMS

Energy-efficient Full-duplex Transmission Strategy Design with SWIPT

Energy-Efficient Amplify-and-Forward Full-Duplex Transmission Strategy

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

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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