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)

Dr. Wenli yang – Computer Science and Artifical intelligence – Best Researcher Award 

Dr. Wenli yang - Computer Science and Artifical intelligence - Best Researcher Award 

University of Tasmania  - Australia

Author Profile 

GOOGLE SCHOLAR

🎓 Early academic pursuits

Dr. Wenli yang’s academic journey is rooted in strong interdisciplinary training, having earned dual phds that laid the foundation for her career in artificial intelligence. her early focus on knowledge representation and algorithmic modeling sparked her interest in scalable systems. through rigorous academic training and research exposure, she developed a deep understanding of power electronics, data engineering, and image analysis. this multidisciplinary education shaped her distinctive approach to solving real-world ai challenges using technically grounded methodologies.

👩‍🏫 Professional endeavors

Currently a lecturer at the school of ict, university of tasmania, dr. yang has quickly become a recognized figure in the artificial intelligence research community. she has actively led and contributed to over 10+ research projects and 8+ consultancy/industry projects, showcasing her technical capabilities across domains. her dedication extends beyond academia, with involvement in field-based data collection initiatives and industry-driven sustainability projects. her expertise also spans power electronics, where her data-driven methodologies enhance system efficiency and smart energy solutions.

🧠 Contributions and research focus

Dr. Yang’s research areas include knowledge representation, ai-powered image analysis, explainable ai, and generative ai. she is passionate about building interpretable and robust ai Computer Science and Artifical intelligence models that perform reliably under real-world conditions. having authored 29 peer-reviewed publications, with 20 as first author, she has made consistent contributions to high-impact q1 journals. her recent studies integrate power electronics with intelligent systems, creating scalable algorithms for energy-efficient computing, smart imaging, and automation across scientific domains.

🌐 Impact and influence

Wenli yang’s work has impacted both academic and applied sectors. her h-index of 9 (scopus) and h-index of 12 (google scholar), with over 647 citations, highlight her growing influence in the ai research community. her collaborative initiatives with australia seafood industries (asi), imas, csiro, and sense-t reflect her commitment to applying ai for public good. through ai- Computer Science and Artifical intelligencedriven oyster genotyping and sustainable fisheries management, she has contributed to ecological and operational advancements across australia’s marine industries.

🔮 Legacy and future contributions

Dr. Wenli yang’s vision is to create scalable, transparent, and adaptable ai systems that serve real-world applications. she continues to expand her research in explainable ai and data Computer Science and Artifical intelligence engineering, with future goals focused on integrating power electronics into intelligent systems for sustainable smart environments. her legacy lies in bridging theoretical research with field impact, inspiring future generations to pursue responsible and innovative ai solutions across multidisciplinary domains.

Notable Publications 

  • Title: A survey on blockchain-based internet service architecture: requirements, challenges, trends, and future
    Author(s): W. Yang, E. Aghasian, S. Garg, D. Herbert, L. Disiuta, B. Kang
    Journal: IEEE Access

  • Title: Survey on explainable AI: From approaches, limitations and applications aspects
    Author(s): W. Yang, Y. Wei, H. Wei, Y. Chen, G. Huang, X. Li, R. Li, N. Yao, X. Wang, X. Gu, ...
    Journal: Human-Centric Intelligent Systems

  • Title: Blockchain: Trends and future
    Author(s): W. Yang, S. Garg, A. Raza, D. Herbert, B. Kang
    Journal: Knowledge Management and Acquisition for Intelligent Systems: 15th Pacific …

  • Title: Design of intelligent transportation system supported by new generation wireless communication technology
    Author(s): W. Yang, X. Wang, X. Song, Y. Yang, S. Patnaik
    Journal: International Journal of Ambient Computing and Intelligence (IJACI)

  • Title: A decision model for blockchain applicability into knowledge-based conversation system
    Author(s): W. Yang, S. Garg, Z. Huang, B. Kang
    Journal: Knowledge-Based Systems

Mr. Vincent Gbouna Zakka – Human Behaviour Analysis in Smart Environment – Best Researcher Award

Mr. Vincent Gbouna Zakka - Human Behaviour Analysis in Smart Environment - Best Researcher Award

Aston University - United Kingdom

Author Profile

GOOGLE SCHOLAR

Early academic pursuits 🎓

Vincent Gbouna Zakka embarked on his academic journey with a bachelor's degree in electronics information engineering from liaoning university of technology, where he excelled as one of the top students in his department. his passion for technology led him to pursue a master's in mechatronic engineering at zhejiang university, focusing on robotics and smart systems. currently, he is deepening his expertise as a ph.d. candidate in computer science at aston university, where he is exploring human behavior analysis in smart environments.

Professional endeavors 💻

Vincent's professional experience is enriched with roles across prestigious institutions. from his position as a research assistant at westlake university and the hong kong polytechnic university, to his current role as a postgraduate teaching assistant at aston university, vincent has consistently contributed to cutting-edge research in human-robot collaboration and smart building technologies. his work bridges academia and real-world applications, making significant strides in ambient assisted living and user-centered systems.

Contributions and research focus 🔬

Vincent's research is centered on human behavior analysis within smart environments, particularly in areas like activity recognition and user trust in monitoring Human Behaviour Analysis in Smart Environment systems. his work aims to enhance ambient assisted living and ageing in place by integrating advanced monitoring technologies. in addition, his focus extends to human-robot collaboration, smart building control systems, and vision-based technologies that optimize user experience and comfort in home environments.

Accolades and recognition 🏅

Vincent’s exceptional contributions to his field have earned him multiple accolades. most notably, he won the best paper award at the 22nd international conference on construction applications of virtual reality in 2022, and recently secured the runner-up spot for best paper at the international conference on ai in healthcare in Human Behaviour Analysis in Smart Environment 2024. his academic excellence was also recognized early in his career, with awards like the ministerial special scholarship for excellence from the f.c.t. scholarship board.

Impact and influence 🌟

Vincent’s work is shaping the future of smart technologies and human-robot interactions. by focusing on user acceptance and trust in monitoring systems, his research has the potential to improve how individuals interact with technology in everyday life, particularly in ageing populations. his innovative solutions are Human Behaviour Analysis in Smart Environment contributing to smarter, safer, and more adaptive living environments, influencing both academic research and real-world applications.

Legacy and future contributions 🔮

Vincent Gbouna Zakka is building a legacy of interdisciplinary research that blends computer science, robotics, and smart technology with human-centered design. his forward-thinking approach ensures that his work will continue to influence the development of intelligent systems that improve quality of life. with ongoing research and upcoming contributions to the fields of ambient assisted living and smart environments, vincent's future impact is bound to be profound.

Notable Publications

  • Title: User-interactive robot skin with large-area scalability for safer and natural human-robot collaboration in future telehealthcare
    Authors: ZV Gbouna, G Pang, G Yang, Z Hou, H Lv, Z Yu, Z Pang
    Journal: IEEE Journal of Biomedical and Health Informatics 25 (12), 4276-4288 (2021)
  • Title: The impact of personal environmental control on the performance of thermal systems: Building energy consumption, occupant thermal comfort, and productivity
    Authors: K Xie, M Lee, R Khalid, VG Zakka
    Journal: Energy and Buildings 298, 113552 (2023)
  • Title: Eyes on nature: Embedded vision cameras for multidisciplinary biodiversity monitoring
    Authors: KFA Darras, M Balle, W Xu, Y Yan, VG Zakka, M Toledo-Hernández, ...
    Journal: BioRxiv, 2023.07.26.550656 (2023)
  • Title: Facile fabrication of highly soft tactile sensor based on porous sponge with geometry effect on sensing characteristics
    Authors: W Heng, G Pang, ZV Gbouna, Z Pang, K Yi, H Yang, G Yang
    Journal: 2019 IEEE International Flexible Electronics Technology Conference (IFETC), 1-3 (2019)
  • Title: A Generalized Thermal Comfort Model using Thermographic Images and Compact Convolutional Transformers: Towards Scalable and Adaptive Occupant Comfort Optimization
    Authors: VG Zakka, M Lee
    Journal: Building and Environment, 112118 (2024)

Mr. Syed Adeel Haneef Zaidi – Digital Twins in Supply Chian Management Performance – Best Researcher Award

Mr. Syed Adeel Haneef Zaidi - Digital Twins in Supply Chian Management Performance - Best Researcher Award

École de technologie supérieure ÉTS - Canada

Author Profile

GOOGLE SCHOLAR

Early academic pursuits 🎓

Syed Adeel Haneef Zaidi began his academic journey with a deep passion for engineering and systems management. his educational foundation was built through a master's degree in engineering, which allowed him to specialize in industrial systems. this strong academic background not only gave him theoretical knowledge but also practical insights into the world of industrial systems engineering. his studies laid the groundwork for his future professional endeavors, where he combined academic excellence with practical expertise.

Professional endeavors 🏭

Adeel Zaidi has carved out a significant career in both academia and industry. since july 2018, he has been serving as a lab instructor ii in the industrial systems engineering department at the university of regina. in this role, he oversees laboratory experiments, develops new course content, and actively contributes to academic and administrative matters. before transitioning into academia, he worked in the fast-paced manufacturing industry at peel plastic products ltd. in brampton, ontario. here, he contributed to continuous improvement initiatives, troubleshooting automated machinery, and enhancing production processes.

Contributions and research focus 🔬

his contributions extend to both industrial and academic sectors. in academia, he plays a pivotal role in developing and revising laboratory contents for courses in industrial systems engineering, ensuring the continuous improvement of learning outcomes. he is involved in the installation and setup of cutting-edge lab equipment, ensuring students have access to up-to-date experimental setups. his research focus Digital Twins in Supply Chian Management Performance includes the application of simulation techniques and the integration of new equipment to enhance both learning and productivity in industrial processes.

Accolades and recognition 🏅

adeel zaidi's efforts in both the academic and industrial spheres have been met with recognition. at the university of regina, he is highly regarded for his dedication to student development, as he assists students with modeling, simulation, data collection, and project interpretation. his Digital Twins in Supply Chian Management Performance commitment to continuous professional development has enabled him to transfer valuable skills and knowledge to the next generation of engineers. his work at peel plastic products ltd. also demonstrated his ability to solve real-world problems, leading to improvements in quality and production efficiency.

Impact and influence 🌟

Adeel Zaidi's impact is felt in multiple areas. in academia, his role as a lab instructor influences the educational journey of countless engineering students, preparing them for successful careers in industrial systems. in the manufacturing sector, his contributions to continuous improvement Digital Twins in Supply Chian Management Performance and process optimization have directly led to enhanced production capacities and reduced costs. his work ensures that both the academic and industrial sectors benefit from his expertise in modern engineering solutions.

Legacy and future contributions 🔮

as a dedicated educator and engineer, adeel zaidi's legacy is one of innovation and continuous improvement. his contributions to developing state-of-the-art laboratory setups at the university of regina will benefit students for years to come. furthermore, his ability to apply advanced engineering principles to real-world industrial challenges positions him as a forward-thinking professional. his future contributions will likely focus on further enhancing educational techniques and improving industrial processes, ensuring his impact continues to grow.

Notable Publications 

Implementation of Inventory Management System in a furniture company 2012(16)

Unlocking the potential of digital twins in supply chains: A systematic review  2024

Dr. Ajay K. Palit – Computational Intelligence – Best Researcher Award

Dr. Ajay K. Palit - Computational Intelligence - Best Researcher Award

University of Bremen - Germany

Professional Profile 

SCOPUS

EARLY ACADEMIC PURSUITS 🎓

Ajay K. Palit and Dobrivoje Popovic, distinguished scholars in the field of computational intelligence, began their academic journeys with a robust foundation in engineering and mathematics. Their early work laid the groundwork for their future contributions to the field of time series forecasting and industrial process control. Both scholars pursued advanced studies and research in their respective areas, developing a deep understanding of computational techniques and their applications in real-world scenarios.

PROFESSIONAL ENDEAVORS 🏢

Dr. Ajay K. Palit and Dr. Dobrivoje Popovic are both affiliated with the University of Bremen, Germany, where they continue to drive innovation in computational intelligence. Their professional careers are marked by significant roles in academia and industry, focusing on enhancing the effectiveness of time series forecasting through advanced computational techniques. Their expertise extends to the practical applications of these techniques in industrial systems and process control.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Palit and Popovic have made notable contributions to the field of computational intelligence, particularly in time series forecasting. Their research encompasses a range of intelligent technologies, including neural networks, fuzzy logic, and evolutionary computation. They have pioneered hybrid computational approaches, such as neuro-fuzzy and transparent fuzzy/neuro-fuzzy modeling, which offer improved quality, Computational Intelligence model building, and predictive control in industrial processes. Their work addresses the challenges of on-line application and computational efficiency in industrial settings.

ACCREDITATIONS AND RECOGNITION 🏅

Their pioneering work has been widely recognized and has earned them respect in the academic and industrial communities. The book "Computational Intelligence in Time Series Forecasting: Theory and Engineering Applications" by Palit and Popovic is acclaimed for its Computational Intelligence comprehensive exploration of intelligent technologies and their practical applications. The authors' contributions are integral to the ongoing development and refinement of computational tools used in industrial process control and forecasting.

IMPACT AND INFLUENCE 🌍

The influence of Palit and Popovic’s work extends across various industries, including manufacturing, process control, and research. By advancing computational intelligence techniques, they have significantly improved the ability to forecast and control industrial processes. Their research has helped bridge the gap between theoretical knowledge and practical application, making a tangible impact on industrial efficiency Computational Intelligence and predictive accuracy.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Ajay K. Palit and Dobrivoje Popovic continue to inspire and lead in their field, shaping the future of computational intelligence in time series forecasting. Their legacy is reflected in their innovative approaches and the ongoing relevance of their research in addressing complex industrial challenges. As they advance their work, they remain committed to exploring new computational techniques and applications, ensuring their contributions will have a lasting impact on the field.

NOTABLE PUBLICATIONS

Distributed RLGC transient model of coupled interconnects in DSM chips for crosstalk noise simulation 2008(8)