Suncheng Xiang | Machine Learning and AI Applications | Best Researcher Award

Assist Prof Dr. Suncheng Xiang | Machine Learning and AI Applications | Best Researcher Award

Shanghai Jiao Tong University | China

PUBLICATION PROFILE

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🎓 EARLY ACADEMIC PURSUITS

Dr. Suncheng Xiang’s academic journey began with a B.S. in Electrical Engineering and Automation from Changsha University of Science & Technology (2010–2014), where he demonstrated early promise through multiple scholarships and honors. He pursued an M.S. in Software Engineering at the National University of Defense Technology (NUDT) from 2014 to 2017, continuing his academic excellence with multiple recognitions, including first-class scholarships and “Outstanding Student” awards. His scholarly momentum led to a Ph.D. in Computer Science and Technology at Shanghai Jiao Tong University (SJTU) from 2017 to 2022, where he laid the foundation for his work at the intersection of artificial intelligence and medical technology.

💼 PROFESSIONAL ENDEAVORS

Currently serving as an Assistant Professor at the School of Biomedical Engineering, SJTU, since August 2022, Dr. Xiang is also co-affiliated with the Institute of Medical Robotics, reflecting his interdisciplinary engagement. His teaching portfolio includes courses like Artificial Intelligence and Medicine and Medical Imaging Intelligence Technology, and he has served as a lead TA in core computing courses during his academic years. His professional memberships with IEEE and ACM further demonstrate his integration into the global scientific community.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Xiang’s research lies at the convergence of machine learning, computer vision, and biomedical applications, with significant work in domain adaptation, image generation, 3D reconstruction, and multimodal foundation models. He has contributed to both theoretical advancements and real-world solutions, evident in his published preprints on arXiv, which explore topics such as polyp re-identification, medical image segmentation, and gesture recognition. His innovation extends to patents—notably in vessel re-identification using transfer learning and a reusable implantable drive mechanism.

🌍 IMPACT AND INFLUENCE

As an active reviewer for more than 40 peer-reviewed journals—including prestigious outlets like IEEE Transactions on Medical Imaging, Pattern Recognition, and Machine Learning—Dr. Xiang holds a Distinguished Reviewer title. He is also an associate editor for several journals such as Biomedical Engineering Communications and Intelligent Manufacturing. His presence at major conferences like CVPR, ICCV, MICCAI, and EMNLP as a reviewer, session chair, or workshop organizer highlights his growing influence in global academic discourse. Additionally, his invited talks at leading institutions such as Fudan University, Wuhan University, and international platforms demonstrate his thought leadership.

📈 ACADEMIC CITES

Dr. Xiang’s open-source philosophy and dedication to knowledge sharing are reflected in his active GitHub repository, where he shares code and models related to his publications. This contributes to his growing academic citations and impact, as his works are used by fellow researchers and practitioners alike. Although specific citation metrics aren’t listed, his consistent involvement in high-profile research and collaboration across multidisciplinary teams suggests a rising citation trajectory.

🌟 LEGACY AND FUTURE CONTRIBUTIONS

Looking ahead, Dr. Xiang’s leadership in multimodal cognitive learning, AI for healthcare, and robotic surgery is poised to contribute significantly to next-generation biomedical systems. His ongoing national and municipal-level projects, including the National Natural Science Foundation of China Youth Project and Shanghai Municipal Health Commission projects, indicate sustained support and expectations from the research community. With a rich portfolio in teaching, mentorship, and interdisciplinary collaboration, Dr. Xiang is building a legacy that bridges technical innovation with clinical translation.

 📚 TOP NOTES PUBLICATIONS

Vm-unet: Vision mamba unet for medical image segmentation
    • Authors: J. Ruan, J. Li, S. Xiang

    • Journal/Conference: arXiv preprint arXiv:2402.02491

    • Year: 2024

Malunet: A multi-attention and light-weight unet for skin lesion segmentation
    • Authors: J. Ruan, S. Xiang, M. Xie, T. Liu, Y. Fu

    • Journal/Conference: 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

    • Year: 2022

Unsupervised domain adaptation through synthesis for person re-identification
    • Authors: S. Xiang, Y. Fu, G. You, T. Liu

    • Journal/Conference: 2020 IEEE International Conference on Multimedia and Expo (ICME)

    • Year: 2020

Less is more: Learning from synthetic data with fine-grained attributes for person re-identification
    • Authors: S. Xiang, D. Qian, M. Guan, B. Yan, T. Liu, Y. Fu, G. You

    • Journal/Conference: ACM Transactions on Multimedia Computing, Communications and Applications

    • Year: 2023

Learning from self-discrepancy via multiple co-teaching for cross-domain person re-identification
    • Authors: S. Xiang, Y. Fu, M. Guan, T. Liu

    • Journal/Conference: Machine Learning

    • Year: 2023

Rethinking illumination for person re-identification: A unified view
    • Authors: S. Xiang, G. You, L. Li, M. Guan, T. Liu, D. Qian, Y. Fu

    • Journal/Conference: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    • Year: 2022

Murad Al-Rajab | Artificial Inteligence | Best Research Article Award

Dr. Murad Al-Rajab | Artificial Inteligence | Best Research Article Award

Abu Dhabi University | United Arab Emirates

PUBLICATION PROFILE

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📘 INTRODUCTION

DR. MURAD AL-RAJAB is a dedicated academic and technology professional whose expertise spans across computer science, data science, artificial intelligence, and sustainable computing. With over a decade of experience in academia and IT leadership, Dr. Al-Rajab is recognized for his ability to bridge the gap between theoretical knowledge and practical application in digital transformation and emerging technologies.

🎓 EARLY ACADEMIC PURSUITS

Dr. Al-Rajab’s academic journey began with a Bachelor of Science in Computer Science from Aman University of Science and Technology in 2005. He later pursued two Master’s degrees: one in Computer Science from the New York Institute of Technology in 2008 and another in Information Systems Management from HCT in 2014. His academic aspirations culminated in earning a PhD in Computer Science from the University of Huddersfield in 2019, marking the foundation for his future contributions to academic research and teaching.

👨‍🏫 PROFESSIONAL ENDEAVORS

Dr. Al-Rajab currently serves as an Assistant Professor at Abu Dhabi University (ADU) since 2020, having also served as a Part-Time Adjunct Assistant Professor from 2019–2020. His prior roles include a Lecturer at Abu Dhabi School of Management (ADSM) and IT Director at ALHOSN University. These roles reflect a unique blend of academic dedication and administrative expertise, showcasing his leadership in both educational and operational spheres.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Al-Rajab’s research interests include machine learning, data science, AI applications, smart systems, and sustainable technology solutions. His work focuses on applying AI to societal challenges—from energy optimization and disaster management to AR-based education and smart tourism. As an active researcher, he explores interdisciplinary frameworks, often combining data-driven models with real-world applications.

🌍 IMPACT AND INFLUENCE

Through organizing initiatives like Software Engineering Days, Cybersecurity Days, and Blockchain Hackathons (2021–2024), Dr. Al-Rajab has become a catalyst for tech-driven dialogue and student engagement. As Leader of the ADU Computing Club and Coordinator of field trips and social activities, he promotes academic enrichment and community building. His work also includes committee contributions to ICASF 2024, the ADU IMT Steering Committee, and more.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Al-Rajab has published several impactful journal articles and conference papers in recent years. His works include:

  • “Sustainable EnergySense” (2024, Discover Sustainability), addressing energy efficiency through machine learning.

  • “QUALITY POINTPAL” (2024), redefining social networking with AI.

  • A highly innovative study on crescent moon visibility prediction published in both Scientific Reports (2023) and Journal of Big Data (2024).

  • He also contributed to cancer detection, traffic flow forecasting, and gene classification using AI models.
    Notably, his 2024 paper on AI for Real-Time Disaster Management, presented at CITS in Spain, reflects his ongoing commitment to societal impact through research.

🏅 HONORS & AWARDS

Dr. Al-Rajab has received multiple awards for excellence and innovation. In 2024, he was honored with the Best Scientific Research Contribution Award by the University of Wollongong, Dubai. He also received the Best Presentation Award at an international research conference in Canada (2020) and was recognized as Best Presenter at HCT in 2013.

🧑‍💻 CERTIFICATIONS & PROFESSIONAL MEMBERSHIP

A certified IBM Data Science Practitioner Instructor and a Huawei Certified ICT Associate in AI, Dr. Al-Rajab continuously sharpens his skillset through professional certifications in IoT, Enterprise Design Thinking, and Applied Data Science. He is also a proud member of the British Computer Society – The Chartered Institute for IT, reinforcing his engagement in the global tech community.

🧠 PROFESSIONAL DEVELOPMENT

He actively participates in workshops and training sessions including AI in education, reflective STEM strategies, quantitative research design, and leadership programs. These continuous learning efforts demonstrate his passion for staying ahead in both pedagogy and technology.

💡 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Al-Rajab’s legacy is deeply embedded in nurturing innovation, enhancing educational experiences, and fostering sustainable digital transformation. With an eye on the future, his upcoming initiatives and research are expected to further integrate AI for societal good, especially in education, healthcare, and smart living.

📝 FINAL NOTE

Dr. Murad Al-Rajab exemplifies the modern academic—visionary, innovative, and community-driven. His balanced contributions in research, teaching, leadership, and student empowerment make him a key figure in the region’s academic and technological advancement. As technology evolves, so does his mission: to build smarter, more sustainable futures through the power of education and innovation.

 📚 TOP NOTES PUBLICATIONS

Title: Examining applying high performance genetic data feature selection and classification algorithms for colon cancer diagnosis

    • Authors: M. Al-Rajab, J. Lu, Q. Xu

    • Journal: Computer Methods and Programs in Biomedicine

    • Year: 2017

Title: Parking problems in Abu Dhabi, UAE toward an intelligent parking management system “ADIP: Abu Dhabi Intelligent Parking”

    • Authors: S.A. Alkheder, M.M. Al Rajab, K. Alzoubi

    • Journal: Alexandria Engineering Journal

    • Year: 2016

Title: A framework model using multifilter feature selection to enhance colon cancer classification

    • Authors: M. Al-Rajab, J. Lu, Q. Xu

    • Journal: PLOS ONE

    • Year: 2021

Title: Quality Pointpal: AI-enhanced redefinition of social networking for sustainable digital usage and genuine human connections

    • Authors: O.O. Ahmed, S.I.T. Islam, S.I. Hamdan, M. Al-Rajab, I. Alqatawneh, A. Al-Sartawi, et al.

    • Journal: Operational Research in Engineering Sciences: Theory and Applications

    • Year: 2024

Title: AI-Powered Smart Book: Enhancing Arabic Education in Palestine with Augmented Reality

    • Authors: M. Al Rajab, S. Odeh, S. Hazboun, E. Alheeh

    • Journal: International Symposium on Ambient Intelligence

    • Year: 2023

Vinit Vijay Deshpande | Algorithm Development | Best Researcher Award

Dr. Vinit Vijay Deshpande | Algorithm Development | Best Researcher Award

University of Applied Sciences, Darmstadt | Germany

Publication Profile

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DR. VINIT VIJAY DESHPANDE– BIOGRAPHY 🌱📚

📍 PhD in Computational Mechanics | Researcher, Educator, Innovator

Education 🎓

PhD in Computational Mechanics (Expected Feb 2025)
University of Applied Sciences, Darmstadt, Germany

  • Thesis: “Computational strategies for characterization, reconstruction, and property estimation of ceramic foam” (magna cum laude)
  • Advisor: Prof. Dr. Romana Piat

Master of Technology in Engineering Mechanics (May 2013)
Indian Institute of Technology, Delhi, India

Invited Talks 🗣️

  1. Use of image segmentation to characterize failure modes of struts in ceramic foam under compression
    49th International Conference and Expo on Advanced Ceramics and Composites (ICACC 2025), Daytona Beach, Florida, USA
  2. Application of skeletonization algorithm to investigate failure modes of ceramic foam in uniaxial compression
    4th International Workshops on Advances in Computational Mechanics (IWACOM-IV), Kitakyushu, Japan

Conference Presentations 📅

  • Investigating microstructure failure modes of ceramic foam under uniaxial compression – 16th World Congress on Computational Mechanics (WCCM 2024)
  • Artificial microstructure reconstruction algorithm for stiffness property estimation – 48th ICACC 2024
  • Computational methodology for the relation between volume fraction and compression strength of ceramic foam – 21st International Conference on Fracture and Damage Mechanics (FDM 2023)
    (For the complete list of conferences, refer to the original document.)

Patents 📑

  • 12 Patents on combined braking systems for two-wheelers.
  • 2 Patents on innovative stand concepts for two-wheelers.

Awards & Recognitions 🏆

  • Best Paper Award, Collaborative European Research Conference (CERC) 2020
  • Lieutenant Arpan Banerjee Award for securing the highest CGPA in MTech and D.I.I.T programmes at IIT Delhi (2012-13)

Scholarships 💡

  • Doctoral Fellowship, University of Applied Sciences, Darmstadt
  • DAAD Sandwich Scholarship for master’s thesis in Germany

Teaching Experience 👨‍🏫

  • Teaching Assistant: Laboratory course for ‘Numerical Solutions to Partial Differential Equations’ since Fall 2020

Student Advising 👨‍🎓

  • Supervised 6 Master’s Thesis students in the field of computational mechanics.

Research Interests 🔬

  • Microstructure reconstruction algorithms
  • Constitutive modeling
  • Surrogate modeling using machine learning
  • Microstructure segmentation algorithms

Research Experience  ON Algorithm Development 🧑‍🔬

  • Research Associate – University of Applied Sciences, Darmstadt (Sept 2024 – Present)
    Focus: Conductive polymer composites & microstructure algorithms

  • Scientific Assistant – University of Applied Sciences, Darmstadt (Dec 2019 – Aug 2024)
    Focus: Porous ceramics, fracture modeling, and transfer learning-based neural networks

  • Research Assistant – Karlsruhe Institute of Technology (Sept 2012 – Mar 2013)
    Focus: Topology optimization of carbon-carbon composites

  • Research Assistant – IIT Delhi (June 2012 – Aug 2012)
    Focus: Elastic properties of carbon-carbon composites

Industry Experience 🏭

  • Analyst – Vehicle Dynamics Simulation, Hero MotoCorp (Aug 2013 – Dec 2019)
    Focus: Multibody simulations, vehicle dynamics, stability, ride-comfort, and braking systems
  • Trainee – Computer Aided Engineering, Tata Technologies Ltd (July 2010 – July 2011)
    Focus: Mesh modeling of four-wheelers for safety and durability analysis

Technical Skills 💻

  • Advanced simulation software
  • Computational algorithms for material modeling
  • Finite Element Analysis (FEA) and multibody dynamics simulations
  • Machine learning for data-driven modeling

Top Notes Publications 📚

Biaxial compression failure of brittle foams: A transfer learning-based strategy
    • Authors: Vinit Vijay Deshpande; Romana Piat
    • Journal: Procedia Structural Integrity
    • Year: 2024
Numerical Strategies to Study Compression Failure in Brittle Foams with 3D Realistic Microstructures
    • Authors: Vinit Vijay Deshpande; Romana Piat
    • Journal: Advanced Structured Materials
    • Year: 2024
Numerical studies of the elastic properties of ceramic foam by creation of the artificial microstructures after processing of computed tomographic images
    • Authors: Romana Piat; Vinit Vijay Deshpande
    • Journal: AIP Conference Proceedings
    • Year: 2023
Compression failure of porous ceramics: A computational study about the effect of volume fraction on damage evolution and failure
    • Authors: Vinit Vijay Deshpande; Romana Piat
    • Journal: Mechanics of Materials
    • Year: 2023
Application of statistical functions to the numerical modelling of ceramic foam: From characterisation of CT-data via generation of the virtual microstructure to estimation of effective elastic properties
    • Authors: Vinit Vijay Deshpande; Kay André Weidenmann; Romana Piat
    • Journal: Journal of the European Ceramic Society
    • Year: 2021