Muhammad Nadeem | Computer Science | Best Researcher Award

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Shengchao Liu | Computer Science | Research Excellence Award

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Dr. Shengchao Liu | Computer Science | Research Excellence Award

The Chinese University | Hong Kong

Shengchao Liu is a tenure-track Assistant Professor in the Department of Computer Science and Engineering at The Chinese University of Hong Kong, whose research lies at the intersection of machine learning, geometry, and scientific discovery. His work focuses on developing foundation models and physics-inspired learning frameworks for molecules, proteins, and materials, with the long-term goal of accelerating discovery in chemistry, biology, and materials science. By integrating multi-modal data, symmetry principles, and domain knowledge, his research bridges theoretical advances in AI with real-world experimental impact. A central theme of Dr. Liu’s research is geometric and symmetry-informed representation learning. He has pioneered group-equivariant and manifold-constrained generative models that respect the underlying physical laws of molecular and material systems. His contributions include SE(3)-invariant pretraining methods, group-symmetric stochastic differential equation models, and rigid flow matching techniques, which have significantly improved the fidelity and interpretability of molecular generation and dynamics modeling. These methods form a unifying framework for learning across molecules, proteins, and crystalline materials, as demonstrated in his influential works at ICLR, ICML, NeurIPS, and AISTATS. Dr. Liu’s work is deeply collaborative and interdisciplinary. He has worked closely with leading researchers across academia and industry, including Mila, UC Berkeley, NVIDIA Research, and national laboratories. As a Principal Investigator, he has led NERSC-supported projects on foundation models for material discovery, leveraging large-scale GPU resources to push the frontier of generative AI for science. His research has also contributed widely used open-source resources, including geometric graph learning benchmarks and toolkits adopted by the broader AI-for-science community.

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Featured Publications


Pre-training Molecular Graph Representation with 3D Geometry

– International Conference on Learning Representations , 2021 | Cited by 574


N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules

– Advances in Neural Information Processing Systems, 2019 | Cited by 295


A text-guided protein design framework

– Nature Machine Intelligence, 2025 | Cited by 225

 

Christos Bouras | Computer Science | Research Excellence Award

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Prof. Christos Bouras | Computer Science | Research Excellence Award

Prof. Christos Bouras | University of Patras | Greece

Professor Christos Bouras is a distinguished academic leader and renowned computer engineering expert, currently serving as Professor in the Department of Computer Engineering and Informatics and Rector of the University of Patras, Greece. He holds a Diploma and a PhD in Computer Engineering and Informatics from the University of Patras. Over the course of his career, he has made substantial contributions to advanced networking technologies, digital communications, and distributed systems while leading major academic, administrative, and international initiatives. His research expertise spans and Beyond Networks, performance analysis of networking and computer systems, mobile and wireless communications, telematics, QoS and pricing mechanisms, e-learning technologies, and networked virtual environments. As an active member of IEEE and ACM, Professor Bouras has built a global reputation for innovative contributions and collaborative research. He has also held several prestigious roles, including Honorary Professor at the College of Information Engineering, Sichuan Agricultural University, China, and President of the University of Patras Property Utilization & Management Company. His long-standing academic leadership is matched by a major international presence in scholarly events. Professor Bouras has participated extensively in international conference committees for more than three decades, contributing to global research dialogue in computing, networking, and educational technologies. His committee roles span top-tier conferences such as ACM STOC, ICALP, IEEE ICALT, ICL, ICWN, ICOMP, GRID Computing, and numerous specialized workshops across Europe, Asia, and North America. His involvement includes organizing committees, program committees, keynote speaking, and advisory roles in areas such as distributed algorithms, multimedia systems, web-based learning, virtual environments, mobile technologies, simulation and modeling, and entertainment computing. Widely respected for his research excellence, international collaboration, and academic leadership, Professor Bouras continues to advance global innovation in computer networks, digital systems, and technology-enhanced learning.

Profiles: Google Scholar

Featured Publications

Jurgelionis, A., Fechteler, P., Eisert, P., Bellotti, F., David, H., Laulajainen, J. P., Bouras, C., … (2009). Platform for distributed 3D gaming. International Journal of Computer Games Technology, 2009(1), Article 231863.

Bouras, C., Kollia, A., & Papazois, A. (2017). SDN & NFV in 5G: Advancements and challenges. In 2017 20th Conference on Innovations in Clouds, Internet and Networks (ICIN) (pp. xx–xx). IEEE.

Bouras, C., & Tsogkas, V. (2012). A clustering technique for news articles using WordNet. Knowledge-Based Systems, 36, 115–128.

Bouras, C., & Tsiatsos, T. (2006). Educational virtual environments: Design rationale and architecture. Multimedia Tools and Applications, 29(2), 153–173.

Bouras, C., Philopoulos, A., & Tsiatsos, T. (2001). e-Learning through distributed virtual environments. Journal of Network and Computer Applications, 24(3), 175–199.

Bouras, C., Ntarzanos, P., & Papazois, A. (2016). Cost modeling for SDN/NFV based mobile 5G networks. In 2016 8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) (pp. xx–xx). IEEE.

Bouras, C., Konidaris, A., & Kostoulas, D. (2004). Predictive prefetching on the web and its potential impact in the wide area. World Wide Web, 7(2), 143–179.

Hussein Alabdally | Computer Science | Best Researcher Award

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Mr. Hussein Alabdally | Computer Science | Best Researcher Award

Mr. Hussein Alabdally | University of Southern Queensland | Australia

Mr. Hussein Alabdally is a talented computer scientist, software engineer, and telecommunications specialist with diverse professional expertise spanning Australia and Iraq. With a foundation in mathematics, web development, and programming, he has contributed significantly to education, technology, and translation services. Hussein’s journey reflects his adaptability and passion for learning, from tutoring students in mathematics and English to working in IT, telecommunications, and software engineering roles. His bilingual communication skills in English and Arabic have enabled him to serve communities as an interpreter and translator, while his technical creativity continues to drive his work in coding, software design, and network systems.

Profiles

Scopus
Google Scholar

Education

Mr. Hussein’s educational path is marked by academic excellence in mathematics, computer science, and engineering studies. He earned his Bachelor of Science degree in Toowoomba, Australia, achieving outstanding results in advanced courses including operations research, numerical computing, experimental design, and web technologies. His solid foundation in mathematics and computing equipped him with analytical and problem-solving skills crucial for tackling real-world technical challenges. Alongside formal studies, he pursued professional training in web development and programming, mastering coding languages such as HTML, CSS, Python, JavaScript, and C++. Hussein also gained practical experience in website design and database management, complementing his academic knowledge with hands-on projects.

Experience

Mr. Hussein’s professional experience covers a wide range of roles across education, IT, translation, and engineering. He worked as a website developer with leading companies in Toowoomba, building digital platforms and enhancing user experience. His teaching journey as an English and mathematics tutor demonstrated his ability to simplify complex concepts for students, helping many succeed in academic pursuits. Hussein’s bilingual expertise was recognized in his work as an interpreter, supporting communication in medical, legal, and educational contexts. Transitioning into engineering roles, he contributed as an IT specialist at Dar Al-Auloom Private High School and later advanced to software engineering and telecommunications positions in Kirkuk. His diverse portfolio reflects both technical mastery and cultural adaptability.

Research Interests

Mr. Hussein’s research interests are deeply rooted in the intersection of mathematics, programming, and technology innovation. He is passionate about computational methods, web technologies, and advanced applications of mathematical modeling in computer engineering. His curiosity extends to artificial intelligence, game programming, and database systems, where he enjoys creating applications that merge creativity with technical precision. Hussein is particularly enthusiastic about designing intelligent software solutions, including document readers and chess games with AI capabilities. He also explores optimization techniques and performance computing, driven by a desire to apply theoretical knowledge to practical systems. His long-term vision is to bridge mathematics with next-generation software solutions.

Awards

Mr. Hussein’s achievements highlight his academic dedication and community engagement. He earned recognition in national and international competitions, including the Australian Statistics Competition, where he won the Queensland prize. He also secured credits in the UNSW ICAS Science and Mathematics contests, demonstrating excellence across STEM disciplines. At the University of Southern Queensland, he was actively involved in science and engineering challenges, achieving commendable rankings. Beyond academics, Hussein received awards for both academic excellence and school community participation, showcasing his commitment to leadership and service. These honors underline his consistent performance, strong analytical skills, and ability to contribute meaningfully both inside and outside the classroom.

Publication Top Notes

Empirical curvelet transform based deep DenseNet model to predict NDVI using RGB drone imagery data
Journal: Computers and Electronics in Agriculture, 
Authors: M. Diykh, M. Ali, M. Jamei, S. Abdulla, M.P. Uddin, A.A. Farooque, A.H. Labban, H. Alabdally, et al.

Improving Dry-Bulb Air Temperature Prediction Using a Hybrid Model Integrating Genetic Algorithms with a Fourier–Bessel Series Expansion-Based LSTM Model
Journal: Forecasting, 
Authors: H. Alabdally, M. Ali, M. Diykh, R.C. Deo, A.A. Aldhafeeri, S. Abdulla, et al.

ECT-DLM: Deep Learning Based Empirical Curvelet Transform Approach for Thoracic Disease Diagnosis from X-RAY Images
Conference: ICTIS
Authors: S. Abdulla, S.K. Alkhafaji, H. Marhoon, M. Diykh, M.A. Majed, J. Sadiq, H. Alabdally, et al.

Physical Human Activity Recognition Based on Spectral Graph Wavelet Transforms Integrated with Machine Learning Model
Conference: International Conference on Health Information Science,
Authors: S. Abdulla, A.S. Majeed, A.B. Al-Khafaji, W. Alsalman, M. Diykh, A. Sahi, H. Alabdally, et al.

Robust Approach for Human Activity Recognition Using Decomposing Technique Based Machine Learning Models
Conference: International Conference on Health Information Science,
Authors: S.Z. Hmoud, M. Diykh, S. Abdulla, H. Alabdally, A. Sahi

Conclusion

Mr. Hussein Alabdally represents a professional who blends education, technical skill, and cultural versatility. His journey reflects resilience, adaptability, and a deep passion for mathematics and technology. Whether teaching students, translating across languages, or designing digital systems, Hussein demonstrates excellence in every role he undertakes. His dual citizenship in Australia and Iraq positions him as a global professional with a multicultural perspective. With his diverse experience in tutoring, web development, software engineering, and telecommunications, Hussein continues to grow as a researcher and practitioner in the field of computer science. His career trajectory shows promise for future contributions to both academia and industry.

Abdul Haseeb | Engineering | Best Researcher Award

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Mr. Abdul Haseeb | Engineering | Best Researcher Award

Mr. Abdul Haseeb | University of Engineering and Technology | Pakistan

Mr.  Abdul Haseeb is a passionate and dedicated mechanical engineering student at the University of Engineering and Technology, Mardan. He strives to combine theoretical knowledge with practical skills to design innovative mechanical systems. Being fluent in English, Urdu, and Pushto, and with basic proficiency in Russian, Abdul excels in collaborating across diverse environments. His commitment to continuous learning, teamwork, and hands-on engineering makes him a promising young talent in the field. Whether solving complex mechanical problems or experimenting with equipment, Abdul approaches every challenge with enthusiasm and a strong drive for excellence.

Profile

Orcid

Education

Mr. Abdul is currently pursuing a degree in Mechanical Engineering at the University of Engineering and Technology, Mardan, where he has developed expertise in CAD design and engineering principles. Prior to this, he completed his FSc at Government Post Graduate College, Mardan, where he strengthened his leadership skills as a class representative. His academic foundation began at Army Public School and College, where he actively participated in debates, science fairs, and community-building activities. These experiences have shaped his analytical thinking, problem-solving abilities, and passion for mechanical innovation.

Experience

Although in the early stages of his professional journey, Abdul has built a strong technical foundation through academic projects and personal initiatives. His experience includes working with CAD tools such as SolidWorks and AutoCAD, performing engineering analysis in areas like statics, dynamics, and thermodynamics, and applying programming skills in C language. His growing expertise in simulations and research equips him to handle academic and industry-related challenges effectively. Through consistent learning and practice, Abdul continues to strengthen his practical knowledge and technical confidence, preparing for future engineering opportunities.

Research Interest

Mr. Abdul’s research interests are centered on mechanical systems design, CAD modeling and simulation, and the creation of sustainable and efficient mechanical solutions. He is intrigued by integrating engineering design with computational tools and programming to solve real-world challenges. His curiosity extends to automation and robotics, where he aims to explore advanced simulation and optimization techniques. Abdul aspires to contribute to innovative research that bridges traditional mechanical engineering principles with modern digital advancements, driving progress in the field.

Awards

Mr. Abdul has been recognized for his academic excellence, leadership, and extracurricular engagement throughout his education. At the university, his performance in CAD earned high distinction. In college, he served as a class representative, demonstrating leadership and organizational skills. During his school years, he actively participated in debates, speeches, and science exhibitions, gaining recognition for his innovative thinking and teamwork. These achievements reflect his adaptability, determination, and commitment to continuous personal and academic growth.

Publication 

Title: Drone Frame Optimization via Simulation and 3D Printing
Authors: Faris Kateb, Abdul Haseeb, Syed Misbah-Un-Noor, Bandar M. Alghamdi, Fazal Qudus Khan, Bilal Khan, Abdul Baseer, Masood Iqbal Marwat, Sadeeq Jan
Journal: Computers – MDPI

Conclusion

Mr. Abdul Haseeb represents the qualities of a dedicated learner and emerging mechanical engineer. With a strong academic foundation, practical technical skills, and a vision for innovative solutions, he is well-prepared to make meaningful contributions to the field. His adaptability, collaborative approach, and passion for continuous growth position him as a future leader in mechanical engineering. As he progresses in his academic and professional journey, Abdul remains committed to using his skills to create impactful engineering solutions that benefit both industry and society.

Mona Salam | Engineering | Best Researcher Award

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Dr. Mona Salam | Engineering | Best Researcher Award

Dr. Mona Salam | Unveristy Of Technology Sydney | Australia

Dr. Mona Salam is a Senior Lecturer in Construction Project Management at the University of Technology Sydney, bringing extensive expertise in interdisciplinary collaboration and resilient housing. Holding a PhD in Design Management from UTS, a Master of Engineering Studies in Construction Management from the University of Auckland, and a Bachelor in Civil (Structural) Engineering from Ain Shams University, she combines deep theoretical knowledge with practical engineering and academic leadership. Her teaching spans project strategy, construction technology, and professional practice, while her research focuses on collaborative design processes, inclusion in built environments, and climate resilience. Dr. Salam leads Women in Built Environment (WiBE), supporting hundreds of students through mentorship and development. Her work is driven by innovation and social equity, bridging academic rigour with real-world impact.

Profile

Orcid

Education 

Dr. Mona Salam’s academic journey reflects a strong interdisciplinary foundation in civil and construction engineering. She earned her Bachelor of Civil Engineering with a specialization in Structural Engineering from Ain Shams University in Cairo, equipping her with a robust understanding of engineering principles. She then pursued a Master of Engineering Studies in Construction Management at the University of Auckland, where she developed advanced skills in managing complex construction projects. Dr. Salam completed her PhD in Design Management at the University of Technology Sydney, where her doctoral research emphasized collaborative processes in construction design and delivery. This progression from technical engineering into construction management and design strategy has enabled her to approach project challenges holistically, integrating structural rigor with design coordination and management strategies.

Experience 

Dr. Salam’s academic career spans over a decade of progressive roles at the University of Technology Sydney. Beginning as a subject coordinator and tutor, she supported core modules in construction technology, project management, and structures. She then advanced to Lecturer in Built Environment, leading and delivering modules such as Managing a Construction Business and Project Management Integration. As a Senior Lecturer, she now coordinates courses in Project Strategy & Leadership, Construction Technology, and Professional Practice. Her leadership extends beyond teaching, contributing to key faculty committees including the DAB Faculty Board, Workload Committee, Education Quality Committee, and the First and Further Year Experience (FFYE) transition initiative. This combination of teaching excellence, curriculum innovation, and institutional service reflects her dedication to advancing both academic programs and the broader educational environment.

Research Interests

Dr. Salam’s research centers on enhancing interdisciplinary collaboration, inclusion, and resilience within the built environment. Her work in “Assessing Interdisciplinary Collaboration in the Detailed Design Phase of Construction Projects” (2024) uses practice-based inter-organisational theory to examine how trust, defined roles, and iterative cost alignment facilitate effective teamwork in complex design phases. In her chapter “Australian Case: Black Summer Bushfires” ), she developed a retrofit toolkit tailored for older Australians in bushfire-prone regions, based on case studies in Bega Valley and Noosa Shires. Funded by national grants, the toolkit addresses accessibility and resilience for vulnerable rural populations . Her broader interests encompass inclusive design, women’s experiences in construction education and workplace settings, and climate-resilient housing solutions shaped by community-centred methodologies.

Awards 

Dr. Mona Salam’s leadership and innovative teaching have been recognized through several recent honors. she received an Honourable Mention for Innovative Use of Technology and Learning in Education, highlighting her integration of advanced digital tools to enhance student engagement. That same year, she earned an Award for Academic Leadership, acknowledging her strategic contributions in curriculum development and student support. Beyond these accolades, Dr. Salam serves as Academic Lead for Women in Built Environment (WiBE), where she leads a strategic initiative supporting female students in Construction Project Management and Property Economics. Through the WiBE Canvas platform, she provides academic, professional, and wellness support, secures scholarships, and fosters industry partnerships—demonstrating her commitment to equity and community impact within the built environment sector.

Publication Top Notes

Developing Multi-Modal Communication Tools for Retrofit Guidance in Ageing Bushfire-Prone Communities

Collaboration in the Detailed Design Phase of Construction Projects – A Study of Interdisciplinary Teams

Exploring Interdisciplinary Collaboration in the Detailed Design Phase of Construction Projects

Exploring Interdisciplinary Collaboration in Construction: Phases and Patterns of Interaction in Detailed Design Meetings

Collaboration to Improve Constructability in Detailed Design Phase – Can BIM and Relational Contracting Help?

Conclusion 

Dr. Mona Salam exemplifies a forward-thinking academic whose work bridges technical expertise, collaborative innovation, and social equity in the built environment. With a solid educational foundation and progressive academic roles, she brings insight and leadership to construction management and design strategy. Her research push boundaries—from facilitating interdisciplinary collaboration and enhancing design delivery, to crafting climate-resilient solutions tailored for vulnerable communities. Recognized for her pedagogical innovation and leadership, Dr. Salam also champions inclusion and women’s advancement through WiBE. Her combined focus on resilience, equity, and collaboration positions her as a visionary contributor to both academia and practice, making her an outstanding nominee for any award recognizing excellence and impact in construction education and research.

Mr. Jin Qilin  | Computer vision | Best Researcher Award

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Mr. Jin Qilin  | Computer vision | Best Researcher Award

Hohai University, China.

Qilin Jin is a passionate researcher specializing in the application of artificial intelligence and software engineering. With a focus on integrating AI with real-world engineering challenges, he has made significant strides in areas such as sonar image analysis, defect detection, and structural monitoring. His innovative work has been recognized through impactful publications and contributions to the scientific community.

Profile

Orcid

🎓 Education

Qilin Jin is currently pursuing a Ph.D. in Computer Science, specializing in the applications of artificial intelligence and software engineering to solve complex real-world problems. His doctoral research focuses on leveraging advanced AI algorithms for defect detection and structural analysis. He holds a Master's Degree in Engineering, where his studies centered on intelligent systems and structural monitoring, providing a strong foundation for his innovative contributions to these fields.

💼 Experience

Qilin Jin is an accomplished researcher with extensive experience in developing AI-driven solutions tailored for industrial and engineering applications. His work focuses on creating innovative methods for defect detection and segmentation, leveraging cutting-edge artificial intelligence technologies to enhance accuracy and efficiency. As a dedicated collaborator, Qilin actively contributes to multidisciplinary projects, combining expertise from various domains to address complex challenges in structural monitoring and intelligent systems.

🔍 Research Interests

Artificial Intelligence Applications: Advanced algorithms for defect detection and structural analysis.

Software Engineering: Innovative methods to enhance engineering software development.

Deep Learning: Leveraging deep neural networks for real-time segmentation and detection tasks.

🏆 Awards and Recognitions

Young Innovator Award for contributions to AI-based defect detection in sonar imaging.

Recognized for excellence in research by leading journals like Applied Sciences and Journal of Sound and Vibration.

🖋️ Publications

  1. Jin, Qilin, Han Qingbang, Qian Jianhua, et al. "Drainage Pipeline Multi-Defect Segmentation Assisted by Multiple Attention for Sonar Images," Applied Sciences, 2025, 15(2): 597.
    Cited by 5 articles.
  2. Jin Qilin, Han QingBang, Su NaNa, et al. "A deep learning and morphological method for concrete cracks detection," Journal of Circuits, Systems, and Computers, 2023, 4.
    Cited by 3 articles.
  3. Wu Yang, Han QingBang, Jin Qilin, et al. "LCA-YOLOv8-Seg: An Improved Lightweight YOLOv8-Seg for Real-Time Pixel-Level Crack Detection of Dams and Bridges," Applied Sciences, 2023, 13: 10583.
    Cited by 7 articles.
  4. Han YuFeng, Han QingBang, Zhang ShiGong, Su NaNa, Jin Qilin, Shan MingLei. "Semianalytical numerical iterative analysis for a one-dimensional second harmonic wave," Journal of Sound and Vibration, 2022, 8.
    Cited by 2 articles.