Liangcai Mei | Artificial Intelligence | Best Researcher Award

Dr. Liangcai Mei | Artificial Intelligence | Best Researcher Award

Beijing Institute of Technology, Zhuhai | China

Author Profile

Scopus

Orcid ID

📘 BIOGRAPHY OF MEI LIANGCAI: A PIONEER IN COMPUTATIONAL MATHEMATICS

🎓EARLY ACADEMIC PURSUITS

MEI LIANGCAI began his academic journey with a Bachelor’s degree in Mathematics and Applied Mathematics from Langfang Normal University, Hebei Province (2003–2007). His early interest in theoretical and applied mathematics led him to pursue a Master’s degree in Applied Mathematics at Guangxi University (2007–2010). Eager to deepen his knowledge and research skills, he achieved a Doctorate in Computational Mathematics from the prestigious Harbin Institute of Technology between 2020 and 2023, equipping him with advanced expertise in numerical methods, differential equations, and computational modeling.

🏛️PROFESSIONAL ENDEAVORS

MEI LIANGCAI has accumulated over 15 years of academic experience. His career progression is marked by steady growth across renowned institutions:

  • 2024–Present: Associate Professor, Zhuhai Campus, Beijing Institute of Technology

  • 2021–2024: Associate Professor, Department of Big Data, Zhuhai University of Science and Technology, Beijing

  • 2018–2021: Lecturer, Department of Big Data, Zhuhai College, Beijing Institute of Technology

  • 2013–2018: Lecturer, Department of Mathematics Teaching, Zhuhai College, Beijing Institute of Technology

  • 2010–2013: Assistant Lecturer, Department of Mathematics Teaching, Guangzhou Songtian Vocational College

Throughout these roles, he has mentored students, developed academic curricula, and integrated modern computational tools into mathematical instruction.

🔬CONTRIBUTIONS AND RESEARCH FOCUS ON ARTIFICIAL INTELLIGENCE

DR. MEI’s research lies at the intersection of computational mathematics, differential equations, numerical methods, and big data applications. Notable contributions include:

  • Piecewise Physics-Constrained Neural Networks for solving impulsive differential equations (Neurocomputing, 2025)

  • Shifted-Legendre Orthonormal Methods for solving delay heat conduction equations (Applied Mathematics Letters, 2022)

  • Improved Legendre-Orthonormal Basis Algorithm for second-order boundary value problems (2021)

  • Novel methods in broken reproducing kernel space and Volterra integral equations with variable coefficients

His scholarly work reflects a balance between theoretical rigor and practical application, especially in neural network-assisted mathematical modeling and numerical simulations.

📈IMPACT AND INFLUENCE

DR. MEI's work has significantly impacted scientific computing and mathematical modeling, particularly in the fields of engineering and physics. He is often the sole first and corresponding author, showcasing his leadership in innovation. His methods have been cited for improving the efficiency and accuracy of solutions to complex mathematical models, which are vital in engineering, environmental science, and artificial intelligence.

📚ACADEMIC CITES

Among his most influential publications are: Neurocomputing (2025) – PiecewisePhysics-Constrained Neural Networks, Applied Mathematics Letters (2022 & 2021) – Delay heat equations & BVPs, Acta Mathematica Scientia (2020) – Nonlinear impulsive differential equations, Journal of Computational and Applied Mathematics (2019) – Volterra equations.

His academic book, “Simplified Reproduction Kernel Space Theory and Its Applications” (Vide Leaf Publishing, 2023), adds theoretical depth to his profile.

🏅LEGACY AND FUTURE CONTRIBUTIONS

DR. MEI has not only published but also innovated through patents:

  • Security Monitoring System Based on Intelligent Robots (2022)

  • Social Fund Management System Based on Big Data (2021)

He also received the Acta Mathematicae Scientiae Annual Excellent Paper Award in 2022, solidifying his academic standing.

Going forward, DR. MEI is poised to explore the fusion of artificial intelligence and numerical mathematics, continuing to shape how complex systems are modeled computationally. His involvement in teaching and mentorship ensures the propagation of his methods to the next generation of mathematicians and data scientists.

🧠 OTHER IMPORTANT TOPICS

RECOGNITION AND CREDIBILITY

  • Recognized as a sole corresponding author in high-impact journals.

  • Frequently the only first author, underscoring his research independence.

INTEGRATION WITH TECHNOLOGY

  • His research marries classical mathematical techniques with AI/ML, especially in neural network design for PDEs.

TEACHING AND MENTORSHIP

  • Over a decade of experience in academia, fostering research in big data, mathematical modeling, and algorithm development.

📌CONCLUSION

MEI LIANGCAI stands as a beacon of innovation in computational mathematics. His dedicated academic path, pioneering research, and vision for technological integration make him a valuable contributor to the global scientific community. With his continued endeavors in AI-powered mathematical modeling, he is sure to leave an indelible mark on both academia and applied sciences.

📑NOTABLE PUBLICATIONS

"Piecewise Physics-Constrained Neural Networks for solving second-order impulsive differential equations

  • Authors: Junxi Chen; Liangcai Mei; Chuan Yang; Boyang Liu; Jiarong Han; Wulong Yao
  • Journal: Neurocomputing
  • Year: 2025

"Multiscale orthonormal method for nonlinear system of BVPs

  • Authors: Yingchao Zhang; Liangcai Mei; Yingzhen Lin
  • Journal: Computational and Applied Mathematics
  • Year: 2023

"An ε-Approximate Approach for Solving Variable-Order Fractional Differential Equations

  • Authors: Yahong Wang; Wenmin Wang; Liangcai Mei; Yingzhen Lin; Hongbo Sun
  • Journal: Fractal and Fractional
  • Year: 2023

"Shifted-Legendre orthonormal method for delay heat conduction equation

  • Authors: Liangcai Mei; Boying Wu; Yingzhen Lin
  • Journal: Applied Mathematics Letters
  • Year: 2022

"A Numerical Method for Solving Fractional Differential Equations

  • Authors: Yahong Wang; Haili Zhou; Liangcai Mei; Yingzhen Lin; Marjan Uddin
  • Journal: Mathematical Problems in Engineering
  • Year: 2022

Muhammad Bilal | Network Properties | Best Researcher Award

Dr. Muhammad Bilal | Network Properties | Best Researcher Award

Shanghai University | China

Author Profile

Scopus

Orcid ID

🌟 DR. MUHAMMAD BILAL: ADVANCING SOCIETY THROUGH MATHEMATICAL INNOVATION

🎓 EARLY ACADEMIC PURSUITS

Dr. Muhammad Bilal embarked on his academic journey with a resolute passion for mathematics. His early education laid the foundation for a lifelong dedication to scientific inquiry and real-world problem-solving. He pursued his Ph.D. in Applied Mathematics at Zhengzhou University, China, from March 2019 to December 2023, where he focused on the intricate realm of Partial Differential Equations (PDEs). Currently, he continues to expand his academic horizon as a Postdoctoral Researcher at Shanghai University, China, since September 2024.

💼 PROFESSIONAL ENDEAVORS

Throughout his professional journey, Dr. Bilal has remained committed to applying mathematical principles to address complex societal challenges. His work centers on Applied Mathematics, with a specific interest in Network Properties and Measures. His active involvement in high-impact international research projects and his collaborations with global institutions highlight his versatile approach to mathematical applications across disciplines.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS ON NETWORK PROPERTIES

Dr. Bilal’s research primarily explores Partial Differential Equations, where he develops novel mathematical techniques that aim to solve real-world, interdisciplinary problems. His scholarly contributions are vast, with over 60 peer-reviewed articles published in reputed international journals. His work bridges theoretical mathematics and practical application, promoting its use in fields such as data science, engineering, healthcare, and beyond.

His dedication also extends to:

  • Disseminating mathematical knowledge globally

  • Promoting mathematics across diverse fields

  • Supporting collaborative research and innovation

  • Mentoring emerging scholars and researchers

🌍 IMPACT AND INFLUENCE

Dr. Bilal has significantly influenced the mathematical and scientific community by advocating for the role of mathematics in societal well-being. His work has reached audiences across continents, inspiring a new wave of interdisciplinary research. He remains actively engaged in policy-level dialogue, encouraging decision-makers to recognize the importance of mathematical research in national development agendas.

📚 ACADEMIC CITES AND RECOGNITION

Dr. Bilal’s research has earned global academic recognition, reflected in numerous citations of his work. His publications in high-impact international journals are frequently referenced by fellow researchers, cementing his place as a thought leader in his domain.

He collaborates with renowned scholars, including:

  • Prof. Dr. Jingli Ren – Executive Dean, School of Mathematics and Statistics, Zhengzhou University

  • Prof. Dr. Tukur Abdulkadir Sulaiman – Operational Research Center in Healthcare, Near East University

These affiliations reflect the depth and relevance of his ongoing research activities.

🔮 LEGACY AND FUTURE CONTRIBUTIONS

As a forward-thinking researcher, Dr. Muhammad Bilal is poised to leave a lasting legacy in the mathematical sciences. His future contributions are expected to further:

  • Enhance the interdisciplinary utility of mathematics

  • Foster global collaborations and partnerships

  • Support young researchers through mentorship and training

  • Influence public policy in favor of research investment

With his continuous dedication to innovation, collaboration, and excellence, Dr. Bilal exemplifies the role of mathematics in driving sustainable, inclusive progress.

📌 KEY FOCUS AREAS

  • ✅ Partial Differential Equations (PDEs)

  • ✅ Network Theory and Mathematical Modelling

  • ✅ Interdisciplinary Application of Mathematics

  • ✅ Research Collaboration and Mentorship

  • ✅ Mathematical Policy Advocacy

🏛️ CURRENT AFFILIATION

  • Postdoctoral Researcher
    Shanghai University, China (2024–Present)

🧠 RESEARCH DOMAINS

  • Main Domain: Network Properties and Measures

  • Subdomain: Applied Mathematics

📑NOTABLE PUBLICATIONS

"Generalized Conformable Hamiltonian Dynamics with Higher-Order Derivatives

  • Authors: DB Yazen. M. Alawaideh∗, Aysel Ramazanova, Hayat Issaadi, Bashar. M. Al
  • Journal: Eur. J. Pure Appl. Math
  • Year: 2025

"Quantization of Dissipative Anisotropic Harmonic Oscillators

  • Authors: BM Al-khamiseh, YM Alawaideh, D Baleanu, H Issaadi, M Bilal, S Abbas
  • Journal: European Journal of Pure and Applied Mathematics
  • Year: 2025

"On the study of multiple wave profiles and hybrid phenomena to the newly developed multi-component Gross-Pitaevskii system and stability analysis

  • Authors: M Bilal, SU Rehman, YM Alawaideh, IL Popa, BM Al-khamiseh
  • Journal: Ain Shams Engineering Journal
  • Year: 2025

"Analyzing the decoupled nonlinear Schrödinger equation: fractional optical wave patterns in the dual-core fibers

  • Authors: J Muhammad, M Bilal, S Ur Rehman, N Nasreen, U Younas
  • Journal: Journal of Optics
  • Year: 2024

"Analytic wave solutions to the beta-time fractional modified equal width equation based on two efficient approaches

  • Authors: A Zafar, M Raheel, M Jamal, I Siddique, FM Tawfiq, F Tchier, M Bilal
  • Journal: Optical and Quantum Electronics
  • Year: 2024

Vindhyesh Pandey | Structural Engineering | Best Researcher Award

Mr. Vindhyesh Pandey | Structural Engineering | Best Researcher Award

National Institute of Technology, Patna | India

Author Profile

Google Scholar

🧠 BIOGRAPHY OF VINDHYESH PANDEY – BUILDING MINDS THROUGH STRUCTURAL INTELLIGENCE

🎓EARLY ACADEMIC PURSUITS

Vindhyesh Pandey, a passionate and dedicated researcher, laid a strong academic foundation in the field of Civil and Structural Engineering. He began his journey with Intermediate and High School at LJPSVM Inter College, Muzaffarnagar, achieving 77.80% and 63.67% respectively. His early inclination towards engineering was evident as he pursued a B.Tech in Civil Engineering from Meerut Institute of Engineering and Technology, affiliated with AKTU, graduating in 2016 with a commendable 71.80%. Driven by a quest for advanced knowledge, he pursued M.Tech in Structural Engineering at Madan Mohan Malaviya University of Technology (MMMUT), Gorakhpur, and graduated in 2021 with a CGPA of 8.19. Currently, he is enrolled in a Ph.D. in Structural Engineering at NIT Patna, where he has successfully completed coursework with an impressive CGPA of 8.32.

🧑‍💼PROFESSIONAL ENDEAVORS

Vindhyesh’s academic career is underscored by a relentless pursuit of professional excellence. He has consistently demonstrated academic rigor and passion, which is clearly reflected in his remarkable achievement of qualifying the GATE (Graduate Aptitude Test in Engineering) examination six times – in 2017, 2018, 2019, 2020, 2022, and 2025. His scores have steadily ranged from 355 to 432, showing not only consistency but also deepening proficiency in his domain.

🧪CONTRIBUTIONS AND RESEARCH FOCUS ON STRUCTURAL ENGINEERING

Vindhyesh’s key research interests include:

  • Structural Health Monitoring (SHM)

  • Structural Analysis and Design of Construction Materials

  • Crack Detection using Artificial Intelligence and Machine Learning

During his M.Tech., he submitted a highly relevant and impactful thesis titled “Comparative Study of Various Techniques of Structural Health Monitoring.” This work focused on identifying natural frequencies and mass participation factors to detect damages in structural members like beams and columns, without dismantling the entire structure — a significant advancement towards efficient, cost-effective, and non-destructive structural assessment.

💡IMPACT AND INFLUENCE

His research has practical implications in the maintenance, safety, and longevity of civil infrastructures, especially in disaster-prone or aging environments. By integrating AI and ML techniques into conventional civil engineering, Vindhyesh is actively contributing to the digitization and smart diagnosis of structures, aligning with the future trends of Smart Cities and Intelligent Infrastructure Systems. His focus on Structural Health Monitoring using AI places him at the forefront of next-generation civil engineering solutions.

📚ACADEMIC CITES

While still early in his research career, Vindhyesh is progressively building a credible academic presence through:

  • Conference presentations

  • Technical project submissions

  • Domain-specific tool applications like STAAD Pro and Python for analysis, highlighting his blend of theory and practical expertise.

His continuous success in GATE and academic achievements act as citations of merit, reflecting scholarly commitment and potential for future academic publication.

🌟LEGACY AND FUTURE CONTRIBUTIONS

Vindhyesh is not just pursuing a Ph.D.; he is pioneering a career path that integrates traditional civil engineering with modern-day technologies like AI, machine learning, and digital monitoring. His current work has the potential to evolve into scalable research applications in national infrastructure projects, smart cities, and academic collaborations. Looking forward, Vindhyesh aims to become a valuable academic asset, an inspiring mentor, and a driving force in research that enhances structural safety, efficiency, and innovation.

🧰OTHER SKILLS AND PROFICIENCIES

  • Programming & Tools: Python, C, STAAD Pro, Excel, MS Word, PowerPoint

  • Certified Courses: CCC and other computer literacy certifications

  • Soft Skills: Problem-solving, academic perseverance, research design, and interdisciplinary integration

🔚CONCLUSION

Vindhyesh Pandey represents the ideal blend of academic excellence, research integrity, and technical innovation. His unwavering focus on Structural Health Monitoring and application of AI in civil engineering marks him as a rising scholar and innovator in the field. With a strong academic base, a future-focused research agenda, and a passion for learning, Vindhyesh is poised to leave a lasting legacy in academia and structural engineering.

📑NOTABLE PUBLICATIONS

"A review of image-based deep learning methods for crack detection

  • Authors: V Pandey, SS Mishra
  • Journal: Multimedia Tools and Applications
  • Year: 2025

Feng Ke | Network Traffic Prediction | Best Researcher Award

Prof. Feng Ke | Network Traffic Prediction | Best Researcher Award

South China University of Technology | China

Author Profile

Scopus

Google Scholar

📡 PROF. FENG KE: A VISIONARY IN NEXT-GENERATION WIRELESS COMMUNICATIONS

🎓 EARLY ACADEMIC PURSUITS

Prof. Feng Ke embarked on his academic journey with a Ph.D. degree from the School of Electronic and Information Engineering at South China University of Technology (SCUT), Guangzhou, China. His formative years in academia were marked by a strong foundation in electronic engineering, which paved the way for his future as a pioneering researcher in wireless communication.

🧑‍💼 PROFESSIONAL ENDEAVORS

Currently, Prof. Feng Ke is a Full Professor at the School of Electronic and Information Engineering, SCUT. He has held several prestigious roles:

  • Vice Director of the Intelligent Communication Network and Computer Engineering Technology Engineering Center, SCUT

  • Chief Scientist of the Guangdong Chinese Network Electrical Engineering Research Institute

  • Expert Advisor to both the Guangzhou Science and Technology Bureau and the Guangdong Science and Technology Department

Between 2013 and 2014, he also served as a Visiting Scholar at the Department of Electronic Engineering, Missouri University of Science and Technology, Rolla, USA, enhancing his global academic exposure and expanding his research collaborations.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS ON NETWORK TRAFFIC PREDICTION

Prof. Feng Ke has significantly advanced the frontiers of wireless communication. His research interests are focused on:

  • Next-Generation Wireless Communications

  • Intelligent Wireless Sensing

  • Joint Sensing and Communications

  • Network Traffic Prediction

  • Centrality Measures and Network Flow Analysis

He has published over 100 research papers in high-impact journals and premier conferences such as IEEE Transactions on Communications (TCOM), IEEE Transactions on Vehicular Technology (TVT), and IEEE GLOBECOM.

🌐 IMPACT AND INFLUENCE

Prof. Feng Ke's work has had a transformative influence on the field of wireless communication and network systems. His leadership is evident in his roles as:

  • Technical Program Committee (TPC) Chair

  • Co-chair

  • Invited Speaker at numerous global conferences

He has mentored and supervised students whose works have earned Best Paper Awards, reflecting his dedication to academic excellence and future-oriented mentorship.

📚 ACADEMIC CITES

With more than 100 authored or coauthored papers, Prof. Feng Ke has made a significant contribution to the body of knowledge in electronic and wireless engineering. His papers are well-cited, indicating a strong academic footprint and relevance across domains like wireless sensing and network optimization.

🏆LEGACY AND FUTURE CONTRIBUTIONS

Prof. Feng Ke is poised to leave a lasting legacy through his continued research in joint sensing and communication technologies, which are pivotal in the evolution of smart cities, autonomous systems, and next-gen 6G networks. His influence extends beyond academia, contributing to policy-making and technology deployment in China through advisory roles in key governmental technology departments.

His future contributions are expected to drive innovations that bridge communication and sensing technologies, empowering intelligent systems and optimizing network traffic prediction models for high-speed, reliable connectivity.

🔍OTHER IMPORTANT HIGHLIGHTS

  • 🌟 Global Collaborator: Experience in international academia through a visiting position in the United States

  • 🏛️ Institution Builder: Contributed to institutional excellence at SCUT and Guangdong R&D centers

  • 👨‍🏫 Mentor: Groomed students who received accolades at top-tier conferences

  • 📈 Thought Leader: Active in steering discussions on wireless intelligence and future networking paradigms

📑NOTABLE PUBLICATIONS

"Optimal caching scheme in D2D networks with multiple robot helpers

  • Authors: Y Lin, H Song, F Ke, W Yan, Z Liu, F Cai
  • Journal: Computer communications
  • Year: 2022

"Age of information-aware scheduling for dynamic wireless body area networks

  • Authors: Z Zhou, F Ke, K Liu, J Tan
  • Journal: IEEE Sensors Journal
  • Year: 2023

"Task offloading, caching and matching in ultra-dense relay networks

  • Authors: F Ke, Y Lin, Y Liu, H Zhou, M Wen, Q Zhang
  • Journal: IEEE Transactions on Vehicular Technology
  • Year: 2022

"Resource allocation for MIMO full-duplex backscatter assisted wireless-powered communication network with finite alphabet inputs

  • Authors: F Ke, Y Peng, Y Peng, DWK Ng
  • Journal: IEEE Transactions on Communications
  • Year: 2020

"A feature points extraction algorithm based on adaptive information entropy"

  • Authors: D Yin, S Zhou, P Wang, M Lin, H Song, F Ke, K Luo
  • Journal: IEEE Access
  • Year: 2020

Guangxuan Song | Graph Neural Networks | Best Research Article Award

Mr. Guangxuan Song | Graph Neural Networks | Best Research Article Award

University of Science and Technology Beijing | China

Author Profile

Scopus

Google Scholar

🌟 BIOGRAPHY OF GUANGXUAN SONG

🎓 EARLY ACADEMIC PURSUITS

Guangxuan Song, born in May 1997, embarked on his academic journey with an undergraduate degree in Automation at the University of Science and Technology Beijing (USTB) from September 2016 to June 2020. His academic excellence was evident early on, receiving the National Scholarship in 2017 and being named a Beijing Outstanding Student in 2019. During his undergraduate years, he also took on leadership roles as Vice President of the Youth League Committee, Head of the News and Publicity Department, and Freshman Class Mentor.

💼 PROFESSIONAL ENDEAVORS

From September 2020 onward, Guangxuan advanced into a Ph.D. program in Control at the same university, focusing on state-of-the-art AI and data-centric projects. Alongside his academic commitments, he was actively involved in national-level research initiatives, contributing to multiple technological innovations and intellectual properties. His work has garnered six invention patents and seven software copyrights.

🧠 CONTRIBUTIONS AND RESEARCH FOCUS ON GRAPH NEURAL NETWORKS

Guangxuan Song’s core research interest lies in Knowledge Graphs and Graph Neural Networks for scientific applications. His contributions include:

  • 📌 Node Importance Evaluation in Scientific Collaboration Networks
    Applied a message-passing neural network (MPNN) formulation of the PageRank algorithm with learnable parameters to rank author importance. (Published in Advanced Electronics and Computer Engineering)

  • 🧪 Metal Property Prediction via Knowledge Graph and Structured Data Fusion
    Built a multi-modal scientific data pipeline integrating LangChain and GPT-3.5 to predict alloy properties using a generalized Fermat point model. (Published in Corrosion Science)

  • 🔍 Modeling of Noisy Real-World Scientific Data
    Developed TSNet to decouple noise using multivariate Taylor expansion, improving prediction accuracy and robustness. (Under 2nd review at IEEE Transactions on Big Data)

🌐 NATIONAL AND INDUSTRIAL COLLABORATIONS

Guangxuan played a pivotal role in several high-impact national and corporate research projects:

  • National Environmental Corrosion Platform of China

  • Science and Technology Basic Resources Survey Project – “Belt and Road” Corrosion Big Data Platform

  • State Grid Corporation Project – Atmospheric Corrosion Factors and Data Mining for Power Grid Materials

In these roles, he contributed to building three major data analysis web platforms, demonstrating strong interdisciplinary collaboration and technical leadership.

🏆 HONORS AND AWARDS

Guangxuan Song has received numerous accolades, including:

  • 🎓 National Scholarships (2017, 2022)

  • 🏅 Dean’s Medal (2019)

  • 🥇 First Prize in iCAN International Entrepreneurship Competition (2020)

  • 🥇 First Prize in "Internet+" Entrepreneurship Competition (Beijing) (2021)

  • 🌠 Science and Technology Star at USTB (2022)

  • 🧠 Baidu Lingjing LLM Developer Recognition (2023)

  • 🏃 Completion of Daxing Half Marathon (2023)

He was also recognized as an Inspirational Figure at USTB in 2020 and awarded Outstanding Graduate of Beijing Municipality in the same year.

🔗 IMPACT AND INFLUENCE

Guangxuan's work significantly enhances the scientific community's ability to extract, model, and predict information from noisy, complex, and multi-modal datasets. His innovations in graph-based ranking, uncertainty estimation, and semantic alignment contribute to cutting-edge advancements in AI for materials science and beyond. His collaborative efforts with national infrastructure platforms and state-owned enterprises emphasize his role as a bridge between academia and industry, fostering data-driven, AI-powered transformation in traditional sectors.

📚 ACADEMIC CITES

His work has been published in reputed journals, such as:

  • Advanced Electronics and Computer Engineering (ADV ELECTR COMPUT EN)

  • Corrosion Science (CORROS SCI)

  • (Pending) IEEE Transactions on Big Data

He is actively building a presence in top-tier AI and scientific publishing platforms, with a growing list of citations and international readership.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Guangxuan Song stands at the forefront of data-centric AI research, contributing to smarter, more interpretable systems in scientific and industrial domains. With his keen understanding of AI frameworks like PyTorch, Torch Geometric, and LangChain, and a hands-on approach to research and collaboration, he is poised to:

  • Pioneer real-world applications of graph-based machine learning

  • Bridge the gap between structured scientific knowledge and deep learning

  • Mentor future AI innovators through active involvement in academic leadership

💡 OTHER NOTABLE TRAITS

  • 💻 Technical Skills: Expert in Python (PyTorch, Torch Geometric, LangChain), proficient in C++, embedded hardware/software development

  • 📸 Interests: Passionate about photography and running

  • 🤝 Soft Skills: Strong teamwork, leadership, and challenge-driven mindset

📑NOTABLE PUBLICATIONS

"Corrosion Resistant Performance Prediction in High-Entropy Alloys: A Framework for Model, Interpretation and Multi-Dimensional Visualization

  • Authors: G Song, D Fu, W Chang, Z Fu, L Ma, D Zhang
  • Journal: Corrosion Science
  • Year: 2025

"A Message Passing Neural Network Framework with Learnable PageRank for Author Impact Assessment

  • Authors: S Guangxuan, FU Dongmei, WU Xiaomeng
  • Journal: Advances in Electrical & Computer Engineering
  • Year: 2025

"Cross-category prediction of corrosion inhibitor performance based on molecular graph structures via a three-level message passing neural network model

  • Authors: J Dai, D Fu, G Song, L Ma, X Guo, A Mol, I Cole, D Zhang
  • Journal: Corrosion Science
  • Year: 2022

"From Knowledge Graph Development to Serving Industrial Knowledge Automation: A Review

  • Authors: G Song, D Fu, D Zhang
  • Journal: Chinese Control Conference
  • Year: 2022

"A Named Entity Extraction Method for Commonly Used Steel Knowledge Graph"

  • Authors: Z Ma, L Ma, D Fu, G Song, D Zhang
  • Journal: Chinese Intelligent Systems Conference
  • Year: 2022

Muhammad Kamran Shereen | Wireless Communication | Top Researcher Award

Dr. Muhammad Kamran Shereen | Wireless Communication | Top Researcher Award

Southern University of Science and Technology | China

Author Profile

Scopus

Orcid ID

Google Scholar

🔬 MUHAMMAD KAMRAN SHEREEN: INNOVATOR IN INTELLIGENT ANTENNA SYSTEMS AND DEEP LEARNING

🧠 EARLY ACADEMIC PURSUITS

Dr. Muhammad Kamran Shereen began his journey in electrical engineering at the University of Engineering and Technology (UET), Peshawar, where he earned a BSc in Electrical Engineering (2014). His passion for innovation led him to pursue further specialization with an MSc in Electrical Engineering (2016) from the same institution. He also diversified his academic profile with a Master’s in Project Management (2024) from Abasyn University, Peshawar, sharpening his skills in leadership and strategic execution.

He culminated his academic formation with a Ph.D. in Electrical Engineering (2022) from UET Peshawar, where he developed a groundbreaking hybrid reconfigurability technique for microstrip patch antennas tailored for emerging 5G applications.

🏛️ PROFESSIONAL ENDEAVORS

Dr. Shereen has served in various academic and research roles across prestigious institutions:

✅POSTDOCTORAL FELLOW

Southern University of Science and Technology (SUSTech), Shenzhen, China (2024–Present)

  • Conducting cutting-edge research in deep learning for energy-efficient metasurface antennas

  • Collaborating internationally and applying for research grants

  • Mentoring students and assisting in academic responsibilities

✅ASSISTANT PROFESSOR

National University of Sciences and Technology (NUST), Islamabad, Pakistan (2023–2024)

  • Delivered lectures across core electrical engineering subjects

  • Integrated Outcome-Based Education (OBE) methodologies

  • Supervised BS and MSc students and officially became an HEC-approved Ph.D. supervisor

✅OTHER TEACHING ROLES

Held multiple roles as Lecturer and Laboratory Engineer (2014–2023) across various universities, gaining over 8 years of experience in practical teaching and lab innovation.

🔍 CONTRIBUTIONS AND RESEARCH FOCUS ON WIRELESS COMMUNICATION

Dr. Shereen’s research spans across several interdisciplinary domains:

  • Microwave Engineering and Reconfigurable Antenna Design

  • Machine Learning & Artificial Intelligence for 5G & mmWave Technologies

  • Metamaterials and Intelligent Antenna Systems

He has made substantial contributions in simulation, design, and testing of microwave components using tools such as HFSS, CST Microwave Studio, AWR, MATLAB, and Python.

🌍IMPACT AND INFLUENCE

Dr. Shereen has actively shaped the next generation of engineers and researchers through:

  • Supervising undergraduate and postgraduate research

  • Introducing innovative lab simulations and practical-based antenna design coursework

  • Serving as a career resource person and final year project convenor

His publications in impact factor journals showcase his dedication to practical applications of theoretical research.

📚ACADEMIC CITES

A highlight of Dr. Shereen’s scholarly work includes the paper:

"Innovations in Metamaterial and Metasurface Antenna Design: The Role of Deep Learning"
Published in Materials Today Electronics (2025)

This paper reflects a growing academic recognition of his work at the intersection of deep learning and antenna innovation, influencing both theoretical research and industrial applications.

🌟LEGACY AND FUTURE CONTRIBUTIONS

Dr. Shereen is steadily building a legacy of academic excellence and applied innovation. His future ambitions include:

  • Advancing AI-integrated antenna design for 6G and smart wireless networks

  • Continuing international collaborations in the research community

  • Securing tenure-track roles or transitioning to strategic roles in industry and research institutions

His blend of teaching, technical, and research expertise positions him as a key contributor to the next generation of intelligent communication systems.

🛠️TECHNICAL PROFICIENCY

  • Software & Simulation Tools: CST, HFSS, AWR, MATLAB, ADS, Python, R, Microsoft Suite

  • Technical Domains: Antenna Design, Signal Processing, Reconfigurable Circuits, LPV Systems

  • Languages: Proficient in English (C2) and Urdu (native)

🔗KEY AFFILIATIONS

  • Southern University of Science and Technology, China

  • National University of Sciences and Technology (NUST), Islamabad

  • University of Engineering and Technology (UET), Peshawar

  • Abasyn University, Peshawar

🏅RECOGNITION AND PROFESSIONAL STANDING

  • Approved Ph.D. Supervisor by the Higher Education Commission (HEC), Pakistan

  • Published as Principal Author in several high-impact factor journals

  • Recognized for contributions in Outcome-Based Education (OBE)

📑NOTABLE PUBLICATIONS

"Intelligent frequency, radiation pattern and polarization reconfigurable antenna for 5G applications

  • Authors: M Kamran Shereen, MI Khattak, A Basit, G Ahmad
  • Journal: Journal of Electrical Engineering & Technology
  • Year: 2024

"A hybrid reconfigurability structure and improved gain characteristics for a novel 5G monopole antenna for future mobile communication

  • Authors: MK Shereen, MI Khattak
  • Journal: Wireless Personal Communications
  • Year: 2022

"A review of achieving frequency reconfiguration through switching in microstrip patch antennas for future 5G applications

  • Authors: MK Shereen, MI Khattak, J Nebhen
  • Journal: Alexandria Engineering Journal
  • Year: 2022

"A hybrid reconfigurability structure for a novel 5G monopole antenna for future mobile communications at 28/38 GHz

  • Authors: MK Shereen, MI Khattak
  • Journal: Arabian Journal for Science and Engineering
  • Year: 2022

"A Frequency and Radiation Pattern Combo-Reconfigurable Novel Antenna for 5G Applications and Beyond"

  • Authors: Muhammad Kamran Shereen; Muhammad Khattak; Muath Al-Hasan
  • Journal: Electronics
  • Year: 2020

MD Aruam | Complex Network | Best Research Article Award

Dr. MD Aruam | Complex Network | Best Research Article Award

Indian Institute Of Information Technology Sonepat | India

Author Profile

Scopus

Google Scholar

🧠 DR. MD. ARQUAM: A PIONEERING RESEARCHER IN COMPLEX NETWORKS AND EMERGING TECHNOLOGIES

🎓 EARLY ACADEMIC PURSUITS

Dr. Md. Arquam’s academic journey began with a consistent record of excellence. He secured First Division throughout his academic career, starting from high school to his doctoral studies.

  • Ph.D. in Computer Science & Engineering (8.7 CGPA)
    National Institute of Technology, Delhi
    Thesis: Modelling of Disease and Information Dynamics in Complex Networks

  • M.Tech in Computer Engineering (2012-2014)
    University College of Engineering, RTU, Kota

  • B.E. in Computer Engineering (2005–2009)
    Jamia Millia Islamia

  • Diploma in Computer Engineering (2001–2004)
    Jamia Millia Islamia

  • Intermediate (1997–1999)
    B.I.E.C Patna

  • High School (1997)
    B.S.E.B Patna

💼 PROFESSIONAL ENDEAVORS

Dr. Arquam’s career spans over a decade of versatile roles in both academia and industry. His trajectory reflects a balance between teaching, research, and technical roles:

  • Assistant Professor, Indian Institute of Information Technology, Sonepat (April 2024 – Present)

  • Assistant Professor, Galgotias University, Greater Noida (Oct 2022 – Nov 2023)

  • Teaching Assistant, NIT Delhi (Aug 2016 – July 2021)

  • Assistant Professor, Ideal Institute of Technology, Ghaziabad (Jan 2016 – June 2016)

  • Assistant Professor, NIT Delhi (March 2015 – June 2015)

  • Teaching Assistant, RTU Kota (Aug 2012 – June 2014)

  • Network Engineer, TVS Net Technologies Ltd (2011–2012)

  • Network Engineer, Targus Technologies Pvt. Ltd (2010–2011)

  • Desktop Support Engineer, Progressive Infovision Pvt. Ltd (2009–2010)

🔬 CONTRIBUTIONS AND RESEARCH FOCUS ON COMPLEX NETWORK

Dr. Arquam has significantly contributed to computational modeling of complex systems and network science. His research spans several cutting-edge areas:

  • Blockchain Technology

  • Complex Network Analysis

  • Epidemic and Rumor Dynamics

  • Opinion Dynamics in Social Networks

  • Large-scale Network Analytics

  • Graph Spectral Techniques

  • Data Analytics using Complex Networks

  • Evolving Network Structures

📊 RESEARCH PROJECTS AND FUNDING

COMPLETED PROJECTS

  1. COVID-19 Spreading Dynamics
    Funded by SERB-DST
    📄 Published: 2 papers

  2. Blockchain-based Trusted Framework for Social Networks
    University of Tartu (H2020 & CHIST-ERA)
    📄 Published: 1 paper

💰 GRANTED PROJECTS

  • ICT-based Smart Traffic Management System
    SERB-DST
    Funding: $20,000

📑 SUBMITTED PROJECTS FOR FUNDING

  1. Opinion Dynamics in Social Networks
    SERB-CRG India – $52,000

  2. Labour Migration in EU Countries
    EU Collaboration (University of Tartu) – $300,000

  3. Computational Study of Cancer Dynamics
    ICGEB Italy – $25,000

🌍 INTERNATIONAL RESEARCH INTERNSHIP

  • University of Tartu, Estonia
    June 1 – August 30, 2018
    Research: Blockchain-based framework for information propagation on online networks

📚 ACADEMIC CITES AND PUBLICATIONS

Dr. Arquam has co-authored multiple peer-reviewed papers in high-impact domains. His interdisciplinary publications reflect his command over both theoretical models and real-world applications. Some of his most cited works are related to:

  • Disease spread in networked populations

  • Trust mechanisms in blockchain systems

  • Smart traffic and mobility analytics

(For detailed h-index and Google Scholar metrics, further bibliometric analysis may be needed.)

🌟 IMPACT AND INFLUENCE

Dr. Arquam’s research has informed policy modeling, epidemic simulation, and secured digital interactions. His work during the COVID-19 pandemic was particularly impactful, aiding in understanding transmission patterns via mathematical models. His blockchain studies have implications in building trusted digital infrastructure.

As an educator, he has guided students and researchers, combining rigor with relevance, and advocating research-informed pedagogy.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Md. Arquam stands at the intersection of theoretical depth and practical utility. His upcoming projects on opinion dynamics, cancer modeling, and international migration position him as a multidisciplinary change agent.

With ongoing funding pursuits and active collaborations in India and Europe, he is poised to be a key influencer in smart societal systems, digital trust technologies, and computational social science.

🏅 RECOGNITION & FUTURE POTENTIAL

Dr. Arquam’s ability to lead, collaborate, and innovate marks him as a strong candidate for Best Research Article Awards, Young Scientist Grants, and International Faculty Mobility Programs.

His blend of academic excellence, global collaboration, and societal problem-solving promises a bright and impactful academic legacy.

📑NOTABLE PUBLICATIONS

"Epidemiological modeling for COVID-19 spread in India with the effect of testing"

  • Authors: A Singh, M Arquam
  • Journal: Physica A: Statistical Mechanics and its Applications
  • Year: 2022

"A blockchain-based secured and trusted framework for information propagation on online social networks

  • Authors: M Arquam, A Singh, R Sharma
  • Journal: Social Network Analysis and Mining
  • Year: 2021

"Impact of seasonal conditions on vector-borne epidemiological dynamics

  • Authors: M Arquam, A Singh, H Cherifi
  • Journal: IEEE Access
  • Year: 2020

"Community detection in networks using graph embedding

  • Authors: R Agrawal, M Arquam, A Singh
  • Journal: Procedia Computer Scienc
  • Year: 2020

"Integrating environmental temperature conditions into the sir model for vector-borne diseases

  • Authors: M Arquam, A Singh, H Cherifi
  • Journal: Complex Networks and Their Applications
  • Year: 2020

Gurpreet Singh | Network Security | Best Review Paper Award

Prof. Dr. Gurpreet Singh | Network Security | Best Review Paper Award

Punjab Institute of Technology | India

Author Profile

Scopus

Orcid ID

Google Scholar

👨‍🏫DR. GURPREET SINGH: A PIONEER IN WIRELESS NETWORK RESEARCH AND EDUCATION

🎓EARLY ACADEMIC PURSUITS

Prof. (Dr.) Gurpreet Singh has always exhibited a deep passion for technology and learning. His academic journey began with a Diploma in Computer Programming and Application from the prestigious Sant Longowal Institute of Engineering & Technology in 1998, where he graduated with a commendable 7.93 CGPA. He went on to complete his B.Tech in Computer Science and Engineering in 2002 from Shaheed Bhagat Singh College of Engineering & Technology, Punjab, followed by a M.Tech in Computer Science and Engineering in 2008 from DAV Institute of Engineering & Technology, Punjab. His M.Tech thesis focused on Performance Evaluation of Networks using AntNet Variants—an early indicator of his future research direction. In 2014, he earned a Ph.D. in Computer Science and Engineering from Thapar University, Patiala, one of India’s top-ranked institutions. His research on the design and development of ACO routing protocols for MANETs (Mobile Ad Hoc Networks) laid the groundwork for his distinguished research career.

💼PROFESSIONAL ENDEAVORS

Prof. Singh has over two decades of experience in research, teaching, and technical leadership. He has served as a reviewer for numerous reputed journals including Inderscience, OMICS-Group, and SCI/Scopus-indexed publications. He has also been actively involved in organizing and steering several international conferences in countries like Denmark, China, Malaysia, and Iran, making him a globally connected scholar.

Notable positions include:

  • President, Gyancity Research Lab, Italy

  • Mentor, Institute of Research and Development, Odisha

  • Organizing Secretary, National Conference on Futuristic Trends in Computing and Information Systems (FTTCIS)

🔬CONTRIBUTIONS AND RESEARCH FOCUS ON NETWORK SECURITY

Prof. Singh’s core research interests are centered around:

  • Wireless Networks & Mobile Ad-hoc Networks (MANETs)

  • Ant Colony Optimization (ACO) in Networking

  • Routing Protocols (AODV, AOMDV, MDART, TCP, UDP)

  • Performance Evaluation and Simulation using NS-2, TCL, Perl, AWK

His contributions have been widely acknowledged in the domains of wireless computing, QoS in network systems, and routing performance improvements. His work demonstrates a unique blend of theoretical insight and applied innovation, particularly in real-world simulation environments.

🌐IMPACT AND INFLUENCE

With over 1347 Google Scholar citations, an H-index of 17, and i10-index of 34, Prof. Singh has made a significant impact in the fields of networking and optimization algorithms. His Research Interest (RI) score of 518.9 reflects his broad engagement with the global research community.

He has authored more than:

  • 12 papers in SCI/SCIE/ESCI journals

  • 39 in Scopus/IEEE-indexed venues

  • 25 UGC-approved journals

  • 31 additional research papers

He has also reviewed for renowned journals and conferences, such as:

  • International Journal of Computer Systems Science and Engineering

  • IEEE NGCT Conferences (2015, 2016)

  • International Journal of Technoethics (ACM Digital Library)

📚ACADEMIC CITES

His landmark publications and presentations have appeared across international journals, conferences, and national venues, including:

  • “ACO Variants for Optimized Routing in AntNet” – ISN 2008

  • “Performance of TCP Alternatives in Wireless Environments” – IJANA

  • “Path Stability Evaluation using A-AOMDV-CSE” – Elsevier SSRN (2020)

His conference work includes collaborations with scholars on emerging topics like digital watermarking, solid waste management via routing optimization, and multipath routing protocols in MANETs.

🏆LEGACY AND FUTURE CONTRIBUTIONS

Prof. (Dr.) Gurpreet Singh’s legacy is characterized by:

  • His strong academic foundation

  • International leadership roles

  • Mentorship and institutional development

  • Groundbreaking research in network optimization and wireless systems

Looking ahead, he is poised to contribute further by:

  • Exploring next-gen AI-driven routing protocols

  • Advocating green computing solutions

  • Leading collaborative international research networks

His commitment to sustainable and intelligent networking marks him as a forward-thinking researcher shaping the next era of wireless communication.

✨OTHER NOTABLE MENTIONS

  • Certified excellence in Cisco Networking Academy (achieving scores above 95% across all semesters).

  • Instrumental in organizing and participating in over 25+ Scopus-indexed international conferences.

  • A strong advocate for interdisciplinary research, bridging networking, AI, and sustainable development goals.

📌CONCLUSION

Prof. (Dr.) Gurpreet Singh exemplifies the perfect blend of academic brilliance, research excellence, and global collaboration. Through his persistent contributions to the world of computer science and engineering, he continues to inspire scholars, shape technologies, and lead transformational research in wireless and network systems. 🌐📡🧠

📑NOTABLE PUBLICATIONS

"Blockchain-Enabled Traceability Frameworks and Prospects for Dairy Supply Chain Management

  • Authors: Deepti Sharma; Gurpreet Singh; Amanpreet Kaur
  • Journal: Book chapter
  • Year: 2025

"Enhancing GAIT Identification Using Decision Trees and KNN

  • Authors: Isha Sharma; Gurpreet Singh; Roop Shikha; Shilpa; Sakshi Dhawan
  • Journal: Book chapter
  • Year: 2025

"Using the Triple DES Method for Protecting Wireless Ad Hoc Network

  • Authors: Parveen Kumari; Gurpreet Singh; Roop Shikha; Leena; Rajni Verma
  • Journal: Book chapter
  • Year: 2025

"Blockchain-based layered architecture for traceability in dairy supply chain management

  • Authors: Deepti Sharma; Gurpreet Singh; Amanpreet Kaur
  • Journal: International Journal of Information Technology
  • Year: 2025

"Smallest Path Planning for Robots Using Simple ACO and Ant System Algorithms

  • Authors: Gurpreet Singh
  • Journal: Communications in Computer and Information Science
  • Year: 2025

Yinuo Qian | Cascades in Networks | Best Researcher Award

Ms. Yinuo Qian | Cascades in Networks | Best Researcher Award

Tiangong University | China

Author Profile

Scopus

Orcid ID

🌟 YINUO QIAN: RISING SCHOLAR IN NETWORK DYNAMICS AND INFORMATION PROPAGATION

🎓 EARLY ACADEMIC PURSUITS

EXCEPTIONAL FOUNDATIONS IN COMPUTER SCIENCE AND ENGINEERING

Yinuo Qian began her academic journey at Jining University, where she majored in Computer Science and Engineering, graduating with an impressive GPA of 89.5/100 and ranking 1st out of 60 in her cohort. Her undergraduate excellence earned her a National Scholarship and accolades such as Outstanding Student of Shandong University and Outstanding Graduate.

Building on this strong foundation, she pursued her Master of Engineering in Computer Technology at Lanzhou University of Technology, achieving a GPA of 81.58/100 and ranking 30th out of 190. Her postgraduate years were marked by both academic and extracurricular brilliance, winning national-level badminton championships and securing multiple scholarships.

Currently, she is pursuing her Ph.D. in Control Science and Engineering at Tiangong University under the supervision of Prof. Chengyi Xia, maintaining a GPA of 88.09/100 and ranking 2nd out of 13 in her doctoral cohort.

👩‍🔬 PROFESSIONAL ENDEAVORS

MULTI-LAYERED RESEARCH INTO NETWORK SYSTEMS AND DECISION-MAKING

Yinuo’s professional academic career is deeply rooted in complex networks, epidemic modeling, and behavioral dynamics. She has contributed to several groundbreaking research topics during both her master's and doctoral studies, demonstrating a keen ability to blend theoretical rigor with real-world applicability.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS ON CASCADES IN NETWORKS

PIONEERING MODELS IN INFORMATION FLOW, VACCINATION, AND SOCIAL NETWORKS

🔹 Doctoral Research Projects (2023–Present):

  • Dynamic Multi-Dose Vaccination on Higher-Order Networks: Integrates information dissemination effects and network topology in vaccination behavior modeling.

  • Psychological Evolutionary Decision-Making: Explores ethical influence and strategy shifts in social multiplex networks.

  • Reinforcement Learning-Driven Disease Transmission Models: Combines game theory and AI for adaptive disease control.

🔹 Master’s Research Projects (2020–2023):

  • Investigated iterative information propagation and weighted multiplex Weibo networks.

  • Developed a hybrid link prediction algorithm for identifying potential scientist collaborations.

  • Proposed a self-adaptive incentive-based network model for rapid information diffusion.

Her research reflects a deep integration of control theory, data science, and social behavior modeling, applied to both epidemic spread and information propagation.

📚 ACADEMIC CITES AND PUBLISHED IMPACT

HIGHLY TECHNICAL METHODOLOGIES AND PUBLICATIONS

Yinuo has employed advanced tools such as:

  • Stochastic SIS models

  • Lyapunov functions

  • Next-generation matrix methods

  • Monte Carlo simulations

  • Heterogeneous mean-field approximations

While the document doesn’t list specific publications, her research topics and methodologies suggest active involvement in producing scholarly articles, especially within network science, epidemiology, and computational social systems.

🏆 HONORS AND RECOGNITION

DECORATED STUDENT LEADER AND ATHLETE

Yinuo’s excellence transcends the academic domain:

  • National Scholarship Winner at both undergraduate and postgraduate levels.

  • Outstanding Graduate and Outstanding Student Leader honors.

  • Champion in Provincial Badminton and Second Place in Javelin Throw.

These achievements show her multi-dimensional personality—a blend of intellectual strength, leadership, and athletic discipline.

💻 TECHNICAL PROFICIENCIES

EXPERT IN MODELING, SIMULATION, AND PROGRAMMING

Yinuo Qian is highly skilled in:

  • Programming: Python, Matlab

  • Modeling Tools: Origin, Excel

  • Analytical Skills: Epidemic threshold modeling, network dynamics, link prediction

She excels at simulating complex behaviors and processes within computational networks, which is crucial for predictive modeling in both public health and social media dynamics.

🌍 IMPACT AND INFLUENCE

INFLUENCING THE FUTURE OF BEHAVIORAL MODELING AND SOCIAL NETWORK ANALYSIS

Her research has the potential to significantly impact:

  • Public health policy via multi-dose vaccination adoption strategies.

  • Online behavioral science through psychological propagation models.

  • Scientific collaboration by predicting and facilitating inter-disciplinary cooperation.

She is poised to become a thought leader in complex systems analysis, especially where human behavior intersects with information technology.

🚀 LEGACY AND FUTURE CONTRIBUTIONS

A FUTURE-READY SCHOLAR WITH A GLOBAL VISION

Yinuo Qian’s academic trajectory and research contributions reflect a clear vision for advancing knowledge in social systems, epidemics, and information science. Her expertise in modeling and simulation, paired with a keen understanding of behavioral dynamics, ensures her continuing impact in academia and applied sciences.

As she progresses through her doctoral research, her legacy will likely include:

  • Innovative network models for both health and information systems.

  • Cross-disciplinary tools that bridge psychology, engineering, and data science.

  • Mentorship roles and academic leadership in future international collaborations.

🧠 CONCLUSION

YINUO QIAN: A MULTIDISCIPLINARY VISIONARY IN CONTROL SCIENCE AND COMPLEX NETWORKS

From her early academic brilliance to her cutting-edge research in dynamic networks, Yinuo exemplifies what it means to be a next-generation researcher. Her contributions are already shaping discussions in epidemic modeling, social media analytics, and psychological decision-making, and she remains a scholar to watch in the evolving field of control science and engineering.

📑NOTABLE PUBLICATIONS

"Disease transmission in dynamic social networks constructed by reinforcement learning-driven preventive game

  • Authors: Yinuo Qian; Dawei Zhao; Chengyi Xia
  • Journal: Chaos, Solitons & Fractals
  • Year: 2025

Mahyar Daskareh | Radiology | Best Researcher Award

Dr. Mahyar Daskareh | Radiology | Best Researcher Award

University of California San Diego | United States

Author Profile

Scopus

Orcid ID

Google Scholar

🩺 DR. MAHYAR DASKAREH – A VISIONARY IN MEDICAL IMAGING

🎓 EARLY ACADEMIC PURSUITS

Dr. Mahyar Daskareh embarked on his medical journey in September 2007, enrolling at Guilan University of Medical Sciences in Iran. He completed his M.D. degree in 2014, demonstrating excellence throughout his studies. His dedication to medical education was evident early on when he secured third place in the prestigious Pre-Internship National Examination in 2013.

His academic merit further shone when he ranked 22nd in the National Residency Entrance Exam in 2014, leading to his acceptance into the radiology residency program at Shariati Hospital in Tehran, a renowned medical center in Iran.

🧑‍⚕️ PROFESSIONAL ENDEAVORS

Dr. Daskareh has a richly diverse career path in radiology and medical imaging. Following his internship at Razi Hospital, he pursued a four-year radiology residency at Shariati Hospital (2014–2018). He then completed mandatory military medical service at the 101 AJA Hospital (2018–2020), continuing his clinical radiology responsibilities.

He held a significant faculty appointment at Ziaeian General Hospital (2020–2023), where he was actively involved in diagnostic imaging, patient care, and the training of future radiologists. In parallel, he served as a Remote Clinical Radiologist at Ronash Private Imaging Center, offering telemedicine-based diagnostics to underserved areas.

Currently, Dr. Daskareh is a Visiting Scholar at the University of California, San Diego (UCSD), from November 2023 to June 2025, working within the Radiology Department, engaging in advanced research and collaborative international radiology projects.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS ON RADIOLOGY

Dr. Daskareh’s research bridges diagnostic radiology, artificial intelligence, and advanced imaging technologies. His work focuses on quantitative MRI techniques, cortical bone imaging, and early arthritis detection using ultrasound and machine learning.

He has presented multiple high-impact scientific studies at world-renowned conferences, such as:

  • 🗣️ RSNA 2023: Oral presentation on Machine Learning for Rheumatoid Arthritis Prediction

  • 🧠 RSNA 2024: Poster presentation on 3D DIR-UTE Imaging for Multiple Sclerosis

  • 🦴 ISMRM 2025: Oral presentation on STAIR-UTE Imaging of Cortical Bone

  • 🦵 ISMRM 2025: Poster presentation on Quantitative UTE Imaging in Knee Osteoarthritis

These works reflect his focus on early diagnosis, precision medicine, and non-invasive monitoring using novel MR imaging techniques.

🌍 IMPACT AND INFLUENCE

Dr. Daskareh is not only a respected clinician and academic but also a pioneer in applying machine learning to medical imaging, influencing both clinical protocols and future diagnostic algorithms. Through his contributions, he is shaping how musculoskeletal and neurological conditions are diagnosed and monitored.

His international collaborations with experts at UCSD and leading global societies mark him as a bridge between Iranian medical academia and global radiology innovation.

📚 ACADEMIC CITES AND PROFESSIONAL AFFILIATIONS

Dr. Daskareh is affiliated with top-tier radiology and imaging societies, enabling access to the latest research and collaborative opportunities:

  • European Society of Radiology (ESR) – Since 2014

  • Radiological Society of North America (RSNA) – Since 2014

  • American Roentgen Ray Society (ARRS) – Since 2018

  • Iranian Society of Radiology (ISR) – Since 2018

His work continues to gain traction within the academic community, with citations expected to rise as his machine learning and imaging techniques are adopted more widely.

🏅 AWARDS AND HONORS

  • 🥉 Third Place – Pre-Internship National Exam (2013)

  • 🏆 Top 25 Rank – National Residency Entrance Exam (2014)

  • 📜 National Board Certification – Radiology, Iran (2018)

These accolades reflect his commitment to academic excellence and professional mastery.

🧪 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Mahyar Daskareh’s legacy is one of innovation, dedication, and global collaboration. His translational research in radiology, which integrates advanced imaging, AI, and clinical care, is destined to leave a long-standing impact on both academic radiology and real-world patient outcomes.

Looking ahead, Dr. Daskareh is poised to:

  • Expand his research portfolio in AI-integrated diagnostics

  • Establish cross-border radiology training programs

  • Influence policy and protocol development in imaging-based diagnostics

His work at UCSD and international conferences paves the way for a future in which technology and human insight come together to enhance global health outcomes.

🧾 ADDITIONAL HIGHLIGHTS

  • 🔐 Iran Medical Council License valid until Dec 2026

  • 🛂 Holding a J-1 Research Visa valid through October 2025

  • 🌐 Based at UCSD, San Diego, a hub for cutting-edge medical research

📑NOTABLE PUBLICATIONS

"Quantitative Ultrashort Echo Time Magnetization Transfer Imaging of the Osteochondral Junction: An In Vivo Knee Osteoarthritis Study

  • Authors: Dina Moazamian; Mahyar Daskareh; Jiyo S. Athertya; Arya A. Suprana; Saeed Jerban; Yajun Ma
  • Journal: Journal of Imaging
  • Year: 2025

"Non-invasive evaluation of Achilles tendon and its enthesis using ultrashort echo time adiabatic T1ρ (UTE-Adiab-T1ρ) magnetic resonance imaging (MRI) in psoriatic arthritis

  • Authors: Dina Moazamian; Hamidreza Shaterian Mohammadi; Jiyo Athertya; Mahyar Daskareh; Yajun Ma; Monica Guma; Dana C. Covey; Tony Yaksh; Abha Singh; Arthur Kavanaugh et al.
  • Journal: European Journal of Radiology
  • Year: 2025

"Diagnostic importance of performing myocardial perfusion imaging in COVID-19 patients: A systematic review

  • Authors: Ghorbani, Mohammad; Esmaeilian, Saeid; Rahmanipour, Elham; Sadeghi, Ramin; Zahergivar, Aryan; Nikkhah, Roham; Askari, Emran; Aali, Amirali; Mirzaei, Mohammad; Dabbagh Kakhki, Vahid Reza et al.
  • Journal: Iranian Journal of Nuclear Medicine
  • Year: 2024

"Presentation of melorheostosis with pain and swelling of the hand bones: A case report and review of literature

  • Authors: Vojdanian, Mahdi; Daskareh, Mahyar
  • Journal: Rheumatology Research
  • Year: 2024

"The Necessity for Biomarker-based Personalized Medicine in Major Depression Disorder: A Comprehensive Literature Review

  • Authors: Gilanchi, Samira; Rezaei Tavirani, Mostafa; Daskareh, Mahyar
  • Journal: Basic and Clinical Neuroscience Journal
  • Year: 2024