Ling Zheng | Computer Science and Artificial Intelligence | Research Excellence Award

Dr. Ling Zheng | Computer Science and Artificial Intelligence | Research Excellence Award

Fujian Maternity and Children Health Hospital | China 

The researcher holds advanced training in computer science with a strong specialization in artificial intelligence and machine learning, Computer Science and Artificial Intelligence particularly in efficient attention mechanisms and multimodal large models for medical and healthcare applications. Current research focuses on the development of intelligent systems for placental pathology analysis, automated diagnostic report generation, and AI-assisted clinical decision support. Major contributions include the construction of annotated medical image databases, AI-guided lesion standardization frameworks, and the application of dynamic intelligent models to support maternal health interventions. The research portfolio also extends to large-scale data management, privacy protection, and secure data sharing technologies for auditory and visual cognitive models, as well as knowledge graph representation and swarm intelligence collaboration. In addition to academic research, the work includes close collaboration with industry partners to develop domain-specific large models for gynecologic oncology and multimodal AI systems for placental pathology diagnosis. Scholarly contributions span high-impact peer-reviewed journals in artificial intelligence, medical informatics, data science, and interdisciplinary computational research. The researcher has also contributed to the academic community through service on program committees for leading international conferences in artificial intelligence, computer vision, and data analytics. Overall, the research demonstrates strong innovation, translational impact, and commitment to advancing AI-driven healthcare technologies.

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Featured Publications

Computer-aided detection of prostate cancer in T2-weighted MRI within the peripheral zone
A. Rampun, L. Zheng, P. Malcolm, B. Tiddeman, R. Zwiggelaar – Physics in Medicine & Biology, 61(13), 4796, 2016

Self-adjusting harmony search-based feature selection
L. Zheng, R. Diao, Q. Shen – Soft Computing, 19(6), 1567–1579, 2015

Feature grouping and selection: A graph-based approach
L. Zheng, F. Chao, N. Mac Parthaláin, D. Zhang, Q. Shen – Information Sciences, 546, 1256–1272, 2021

Boundary-aware network with two-stage partial decoders for salient object detection in remote sensing images
Q. Zheng, L. Zheng, Y. Bai, H. Liu, J. Deng, Y. Li – IEEE Transactions on Geoscience and Remote Sensing, 61, 1–13, 2023

A distributed joint extraction framework for sedimentological entities and relations with federated learning
T. Wang, L. Zheng, H. Lv, C. Zhou, Y. Shen, Q. Qiu, Y. Li, P. Li, G. Wang – Expert Systems with Applications, 213, 119216

Prof. Dr. Ali Hessami | AI Psychology | Best Researcher Award

Prof. Dr. Ali Hessami | AI Psychology | Best Researcher Award

Vega Systems | United Kingdom

Author Profile 

SCOPUS 

Summary 

Ali hessami is a globally recognized systems integrity, risk, assurance, and governance professional whose career blends strategic vision, creative problem-solving, and deep technical expertise. with extensive experience in leading large-scale, technology-intensive programmes, he has played influential roles in technology r&d, international business development, and the creation of advanced frameworks for safety, ethics, and governance. as chair of major european and international standards committees, and founder of the universal ethics community of practice on ai, he has advanced research on agentic ai safety, computational intelligence-human socialisation, digital trust, and cyber-physical security. his work bridges industry, academia, and policymaking, promoting ethical and sustainable technology adoption while fostering newcomer socialization in global expert networks.

Early academic pursuits 

Ali Hessami’s academic foundation was shaped by a passion for systems integrity, governance, and technology innovation. with a strong grounding in engineering principles, systems science, and interdisciplinary research, he developed the analytical and creative thinking skills that would later underpin his career. his early education emphasized both technical mastery and ethical considerations, forming a rare blend of scientific expertise and value-driven leadership that remains central to his professional identity.

Professional endeavors 

Hessami’s professional journey spans large-scale national and international technology-intensive programmes with high-level interfacing and accountabilities. he has led multi-disciplinary teams in technology r&d, systems safety, and governance, and has played pivotal roles in developing advanced frameworks for competence, knowledge management, enterprise risk management, and legal compliance. as chair of european (cenelec) and international (iec) systems safety and cybersecurity standards committees, as well as chair and technical editor of the first ieee global standard on ethics in technology, he has shaped policies that influence industries worldwide. his role as vice chair of ieee’s first global ethics certification programme for emerging technologies further underlines his leadership in ethics-driven innovation.

Contributions and research focus 

Ali hessami’s research interests lie at the intersection of safety, security, ethics, and sustainability assurance. he has contributed to the design and certification of complex electronic systems, high-integrity software, and cutting-edge ai frameworks. his most recent initiatives include leading the universal ethics community of practice on ai, which has produced open-access research on agentic ai safety, computational intelligence-human socialisation, digital trust, and cyber-physical security in the age of ai. in these studies, newcomer socialization is a recurring theme—integrating new experts and perspectives into collaborative global research. his co-authored works, including the upcoming book safer agentic ai: principles & responsible practices, are aimed at translating ethical frameworks into actionable policies and industry practices.

Impact and influence 

Through his advisory roles at corporate, governmental, and ministry levels, hessami has influenced national policies, industrial strategies, and academic directions in europe, the middle east, and the far east. his training programmes for senior industry and government leaders have equipped decision-makers with practical tools for governance, resilience, and ethical technology adoption. the universal ethics community of practice he founded has become a model for global newcomer socialization in the ai safety space—creating an environment where emerging and established experts can collaboratively tackle pressing technological challenges.

Academic cites 

Hessami’s publications span peer-reviewed research in systems science, system-of-systems, trust and e-trust for e-commerce, and ethical ai governance. these works are cited internationally for their rigorous analysis and actionable strategies, contributing significantly to both scholarly discourse and applied technology policy.

Legacy and future contributions 

Ali Hessami’s legacy lies in embedding ethical, safety, and governance principles into the very fabric of technological innovation. his leadership in standards development ensures that future generations inherit systems that are safer, more transparent, and aligned with societal values. looking ahead, his ongoing projects—including the development of computational intelligence-human socialisation guidelines and the co-authored volumes on agentic ai safety—promise to shape the ethical and operational frameworks for emerging technologies well into the future. his approach to newcomer socialization in global research communities ensures a sustainable pipeline of ethical, skilled contributors to the field.

Publications 

Artificial Intelligence for the Benefit of Everyone

Evolution of the IEEE P7009 Standard: Towards Fail-Safe Design of Autonomous Systems

Introduction: It’s Time to Make the Case for Ethics

From Principles and Standards to Certification

Conclusion 

Ali hessami’s career reflects a commitment to ensuring that technological progress is guided by safety, ethics, and societal values. his leadership in setting global standards, his advisory roles at the highest levels, and his ongoing research into the ethical challenges of ai position him as a key architect of responsible innovation. by integrating newcomer socialization into his collaborative projects, he ensures that emerging voices and diverse perspectives strengthen the future of technology governance. his legacy will be a more trustworthy, human-centered technological landscape for generations to come.

Dr. Mohsin Masood – Data Scientist – Best Researcher Award 

Dr. Mohsin Masood - Data Scientist - Best Researcher Award 

Imperial College London - United Kingdom

Author Profile 

GOOGLE SCHOLAR 

🎓 Early academic pursuits

Mohsin Masood began his academic journey with a strong foundation in computer science, securing a merit-based msc funding grant from the university of east london (2011–2012). his early academic achievements laid the groundwork for advanced training in health data science, culminating in a phd in statistical modelling from the university of strathclyde, funded by a competitive grant (2014–2017). his scholarly curiosity extended internationally through the erasmus exchange research grant at vsb-technical university of ostrava (2015–2018), where he deepened his expertise in predictive modelling and bioinformatics. during this phase, his interest in power electronics and algorithmic optimization in medical diagnostics emerged as an interdisciplinary focus.

💼 Professional endeavors

With over a decade of experience, mohsin has held impactful roles across academia and research institutions. as an assistant professor in computer science at abasyn university (2018–2022), he designed and taught advanced courses in ai, ml, and data science, incorporating real-world applications in epidemiology and digital health. later, as a senior research fellow at the university of leeds (2022–2023), he led data engineering for a large-scale 2.9 million patient cohort, employing advanced machine learning and nlp tools to analyze multimorbidity and Data Scientist cardiovascular risks. currently, he serves as a research associate at imperial college london (2023–present), where he leads predictive modelling projects on population health, integrating datasets like uk biobank, sail databank, and triphic. he also fosters collaborations with institutions such as sheffield university and a* university of singapore.

🧠 Contributions and research focus

Mohsin’s core research focus lies in multimorbidity, disease progression modelling, and epidemiological risk assessment, particularly within cardiovascular and pulmonary health Data Scientist domains. he applies deep learning, survival analysis, and multistate modelling to interpret complex patient trajectories and disease clustering. his work with electronic health records (ehrs) like hospital episode statistics (hes) reflects a commitment to improving precision medicine. integrating technologies from power electronics into patient monitoring systems has been a unique dimension of his research, promoting real-time diagnostics and health alerts. he has also contributed to educational leadership by mentoring bsc and msc students in ai-based health science projects.

🌍 Impact and influence

Mohsin’s influence extends beyond academia through his involvement in cross-institutional research, digital outreach, and public health strategy. at imperial’s national heart and lung institute (nhli), he manages social media communications to boost public engagement with medical data science. his high-impact publications have contributed to the growing intersection of Data Scientist computational modelling and health outcomes, often cited in cardiovascular and cancer research communities. he is recognized for bridging the gap between statistical modelling and power electronics, showing how smart analytics can optimize hardware for healthcare delivery.

📚 Academic cites

His academic influence is reflected in high citation counts across journals focusing on biostatistics, machine learning in medicine, and epidemiology. notable contributions include projects funded by imperial nhli’s pilot project award (2023–2024) and royan pharmaceutical’s breast cancer research grant (2020–2021). his statistical toolkits and predictive algorithms are widely referenced in studies involving survival analysis, deep learning applications in ehrs, and risk prediction modelling.

🧬 Legacy and future contributions

Mohsin’s legacy lies in fostering a data-driven healthcare ecosystem where interdisciplinary tools empower clinicians and researchers alike. he aims to develop scalable, explainable ai systems for public health, enabling real-time decision-making in hospitals and remote settings. leveraging power electronics, he envisions the integration of wearable technologies with ai for early disease detection and patient monitoring. his commitment to mentoring the next generation of health data scientists ensures a lasting academic and societal impact.

Notable Publications 

  • Title: Emotion classification and crowd source sensing; a lexicon based approach
    Authors: R. Kamal, M.A. Shah, C. Maple, M. Masood, A. Wahid, A. Mehmood
    Journal: IEEE Access

  • Title: An improved particle swarm algorithm for multi-objectives based optimization in MPLS/GMPLS networks
    Authors: M. Masood, M.M. Fouad, R. Kamal, I. Glesk, I.U. Khan
    Journal: IEEE Access

  • Title: Energy efficient software defined networking algorithm for wireless sensor networks
    Authors: M. Masood, M.M. Fouad, S. Seyedzadeh, I. Glesk
    Journal: Transportation Research Procedia

  • Title: Proposing bat inspired heuristic algorithm for the optimization of GMPLS networks
    Authors: M. Masood, M.M. Fouad, I. Glesk
    Journal: 2017 25th Telecommunication Forum (TELFOR)

  • Title: Analysis of artificial intelligence-based metaheuristic algorithm for MPLS network optimization
    Authors: M. Masood, M.M. Fouad, I. Glesk
    Journal: 2018 20th International Conference on Transparent Optical Networks (ICTON)

Assoc. Prof. Dr. Chafaa Maatoug Hamrouni – Electric Vehicules- Robots- Computer sciences – Best Researcher Award

Assoc. Prof. Dr. Chafaa Maatoug Hamrouni - Electric Vehicules- Robots- Computer sciences - Best Researcher Award

Taif University - khurma University Collegue - Saudi Arabia

Author Profile 

GOOGLE SCHOLAR 

🎓Early academic pursuits

Dr. Chafaa Hamrouni embarked on his academic journey with a deep passion for telecommunications and intelligent systems. he pursued rigorous studies in electrical engineering, focusing on satellite communication technologies, fuzzy logic systems, and antenna networks. his early research laid the foundation for his future contributions to next-generation communication systems, including ultra-wideband (uwb) antennas, multiple-input multiple-output (mimo) systems, and femto-satellite communication networks.

🚀 Professional endeavors

Dr. Hamrouni is currently associated with taif university, where he actively contributes to cutting-edge research in satellite communications and artificial intelligence-driven networks. he has collaborated with esteemed institutions and researchers worldwide, leading multiple innovative projects. his expertise spans a broad spectrum, from designing advanced antenna networks for small satellites to optimizing power systems for pico-satellites. his professional journey is marked by an unwavering commitment to technological advancements in wireless communication and signal processing.

⚛️ Contributions and research focus

Dr. Hamrouni has made significant contributions to the field of wireless communications, with a particular emphasis on satellite and small-scale antenna systems. his research explores the development of uwb-mimo antenna arrays, metamaterial-based high-isolation antennas, and intelligent fuzzy logic controllers for smart mobility management. his groundbreaking work in Electric Vehicules- Robots- Computer sciences. energy harvesting relays and error-prone forwarding has provided new insights into optimizing coded cooperative communication. he has also developed innovative methodologies for congestion management in 6g networks and signal processing in mobile systems, pushing the boundaries of modern communication technology.

🏆 Accolades and recognition

Dr. Hamrouni's outstanding research has been published in renowned journals such as computers, materials & continua, international journal of advanced computer science and applications, and journal of multimedia information system. his work on nano-satellites for water quality management and autopilot systems for aircraft models has been widely recognized. he has received Electric Vehicules- Robots- Computer sciences. accolades for his contributions to signal processing, electromagnetic energy recovery, and intelligent electrical power subsystems for pico-satellites. his expertise is frequently sought in international conferences and symposiums, cementing his reputation as a leading researcher in the field.

🔄 Impact and influence

The impact of dr. hamrouni’s research extends far beyond academia. his work on fuzzy logic-controlled antenna networks has influenced the design of next-generation communication Electric Vehicules- Robots- Computer sciences. satellites, while his studies on femto-satellite applications have paved the way for innovative advancements in telecommunications. his contributions to homomorphic cryptosystems have also enhanced data security in cloud computing, ensuring safer and more reliable digital transactions. his influence is evident in the growing adoption of his methodologies in satellite communication and smart mobility management.

🌟 Legacy and future contributions

As a pioneer in the field of intelligent communication systems, dr. hamrouni continues to shape the future of satellite technology. his ongoing research in hierarchical fuzzy logic-based power subsystems for pico-satellites and new optimization techniques for mobile networks is expected to drive significant advancements. his legacy lies in his ability to merge artificial intelligence with satellite communication, creating efficient, high-performance networks for future generations. through his mentorship and collaboration with researchers worldwide, he is nurturing the next wave of innovators who will carry forward his groundbreaking work.

Notable Publications 

  • Title: Design and prototype of a flight microstrip antennas for the Pico satellite ERPSat-1
    Author(s): C. Hamrouni, B. Neji, A.M. Alimi, K. Schilling
    Journal: 2009 4th International Conference on Recent Advances in Space Technologies

  • Title: A new UWB-MIMO multi-antennas with high isolation for satellite communications
    Author(s): C. Abdelhamid, M. Daghari, H. Sakli, C. Hamrouni
    Journal: 2019 15th International Wireless Communications & Mobile Computing

  • Title: ERPSat-1 scientific pico satellite development
    Author(s): B. Neji, C. Hamrouni, A.M. Alimi, A.R. Alim, K. Schilling
    Journal: 2010 IEEE International Systems Conference

  • Title: Design and prototype of an image capturing and processing system for ERPSat-1 Pico Satellite
    Author(s): B. Neji, C. Hamrouni, A.M. Alimi, K. Schilling
    Journal: 2009 4th International Conference on Recent Advances in Space Technologies

  • Title: Hierarchical fuzzy-logic-based electrical power subsystem for PICO satellite ERPSat-1
    Author(s): B. Neji, C. Hamrouni, A.M. Alimi, H. Nakajima, A.R. Alim
    Journal: IEEE Systems Journal

Assist Prof Dr. Surachate Kalasin –  Artificial intelligence and machine learning – Excellence in Scientific Innovation Award

Assist Prof Dr. Surachate Kalasin -  Artificial intelligence and machine learning - Excellence in Scientific Innovation Award

King Mongkut's University of Thonburi - Thailand

Author profile

SCOPUS

🌱 Early academic pursuits

Surachate Kalasin embarked on his academic journey with a strong foundation in physics and applied mathematics at worcester polytechnic institute, massachusetts, where he earned dual bachelor of science degrees with honors. his passion for interdisciplinary studies led him to further his education at the university of massachusetts amherst, where he pursued dual master’s degrees in physics and electrical and computer engineering. his academic excellence and curiosity culminated in a doctorate in chemical physics from the same institution, where he developed a deep expertise in polymer science.

🧑‍🔬 Professional endeavors

following his doctoral studies, dr. kalasin advanced his research career as a postdoctoral fellow in the department of polymer science and engineering at the university of massachusetts amherst. his work during this period focused on cutting-edge research in surface analysis, polymer rheology, and the development of specialty polymers for sensing and adhesion. his multidisciplinary approach bridged the fields of physics, chemistry, and engineering, positioning him as a leading figure in the development of innovative materials and technologies.

🔬 Contributions and research focus

dr. kalasin has made significant contributions to the field of material science, particularly in the areas of polymer chemistry and surface Artificial intelligence and machine learning technology. his research includes the creation of biomimetic surfaces that replicate the complex landscapes of biological cells, with applications in biomedicine and biomaterials. he has also designed biocompatible polymer surfaces for antimicrobial devices, advancing the field of biomedical engineering. his expertise in modeling molecular interactions at the nanoscale has been pivotal in the development of new materials for coating, cleaning, and microfluidic applications.

🏅 Accolades and recognition

throughout his career, dr. kalasin has been recognized for his innovative contributions to material science and engineering. his work has led to the development of intellectual property assets, reflecting his ability to translate research into practical, impactful technologies. his Artificial intelligence and machine learning interdisciplinary research approach has earned him accolades from academic and industrial communities, solidifying his reputation as a leader in his field.

🌍 Impact and influence

dr. kalasin’s work has had a profound impact on both the scientific community and industry. his innovations in polymer science and surface Artificial intelligence and machine learning technology have paved the way for new applications in healthcare, particularly in the development of antimicrobial devices and biomaterials. his research has also influenced the field of environmental engineering, where his work on fluid mechanics and surface technology has contributed to more efficient and sustainable solutions.

🏛️ Legacy and future contributions

as dr. kalasin continues his research, his legacy in the field of material science is marked by his commitment to interdisciplinary innovation and practical applications. his future work is expected to further bridge the gap between scientific research and real-world solutions, particularly in the development of new materials and technologies that address global challenges. his ongoing contributions will undoubtedly continue to shape the future of material science and engineering.

Notable  Publications