Ali Hessami | AI Ethics | Best Researcher Award

Published on by Computer Scientists Awards

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

Director | Vega Systems | United Kingdom

Prof. Dr. Ali Hessami is a distinguished systems integrity, risk, assurance, and governance expert based in the United Kingdom, currently serving at Vega Systems. With extensive experience in large-scale, technology-intensive national and international programs, he is recognized for his strategic vision and creative thinking. He has led multidisciplinary teams, driven R&D in advanced frameworks for systems safety, competence, knowledge management, and corporate governance, and advised governments and industries globally. As Chair of multiple European and International standards committees, he has significantly influenced cybersecurity, systems safety, and ethics in technology, shaping industry practices and policies worldwide.

Publication Profile

Scopus

Education Background

Prof. Dr. Ali Hessami holds a PhD in Total Technology from the University of Bradford, complemented by a Postgraduate Diploma in Management and Administration from the same institution. He earned his BSc (Hons.) in Electronics Engineering & Physics from Loughborough University of Technology. His academic contributions include serving as a visiting professor at City University, London, and Beijing Jiaotong University, as well as lecturing at various institutions in China and Italy. Additionally, he has been trained as an international ambassador and educator at MIT’s Climate Interactive, focusing on the En-ROADS Climate Simulator for sustainable global solutions.

Professional Experience

Prof. Dr. Hessami’s career spans leadership in research, systems assurance, and standardization at Vega Systems, where he has developed innovative safety and risk management Software as a Service products. He chairs several CENELEC and IEC committees, is the technical editor for the first IEEE global ethics standard in technology, and serves as Vice Chair of IEEE’s Ethics Certification Program. His advisory roles extend to corporate boards, governments, and ministries, influencing industrial strategies. He has directed collaborative research centers, including the Railway Safety Technology Research Centre, and delivered industry and academic training across Europe, the Middle East, and the Far East.

Awards and Honors

Prof. Dr. Ali Hessami’s outstanding contributions have earned him multiple prestigious recognitions, including the IEEE Standards Association Managing Director’s Special Recognition for leadership in ethically aligned AI systems, and the IEEE Third Millennium Medal for achievement and contribution. He has been honored as a Fellow of the Royal Society of Arts (FRSA) and the Institution of Engineering and Technology (FIET). His international standing is reflected in his membership on the International Advisory Board of Beijing Jiaotong University and his appointment as Advisory Professor at its School of Electronic & Information Engineering, where he has influenced global standards and practices.

Research Focus

Prof. Dr. Hessami’s research spans systems safety, cybersecurity, ethics in technology, and AI governance. He is deeply engaged in developing ethical frameworks for emerging technologies, particularly agentic AI, through initiatives like the Universal Ethics Community of Practice. His work bridges principles, standards, and certification, aiming to ensure fail-safe design and responsible innovation in autonomous systems. Leading international collaborations, he integrates technical, legal, and governance dimensions to advance safety-critical systems. His interdisciplinary research fosters global consensus on ethical AI, sustainable risk management, and the alignment of technological innovation with societal values, ensuring technology serves humanity equitably.

Publication Top Notes

Artificial Intelligence for the Benefit of Everyone
Published Year: 2024
Citation: 1

Evolution of the IEEE P7009 Standard: Towards Fail-Safe Design of Autonomous Systems
Published Year: 2021
Citation: 22

Guidelines For Agentic AI Safety Volume 1: Agentic AI Safety Experts Focus Group
Published Year: 2024
Citation: 2

From Principles and Standards to Certification
Published Year: 2019
Citation: 6

Model safety standard of railway signaling system for assessing the conformity of safety critical software based weighted factors analysis
Published Year: 2017
Citation: 5

Conclusion

Prof. Dr. Ali Hessami stands out as a visionary leader and scholar whose work merges technical expertise with ethical foresight. His influence spans academia, industry, and policy, shaping international standards and governance models in systems safety, cybersecurity, and AI ethics. Through leadership in IEEE, CENELEC, and IEC committees, he has helped establish frameworks that safeguard technology’s impact on society. With decades of experience in multidisciplinary innovation, strategic policy advisement, and academic mentorship, he continues to champion the integration of ethics, safety, and sustainability in technology development, ensuring progress aligns with societal well-being and responsible global standards.

Md. Khabir Uddin Ahamed | Machine Learning | Best Researcher Award

Published on by Computer Scientists Awards

Mr. Md. Khabir Uddin Ahamed | Machine Learning | Best Researcher Award

Mr. Md. Khabir Uddin Ahamed – Lecturer, Jamalpur Science and Technology University, Bangladesh.

Md. Khabir Uddin Ahamed is a dynamic Bangladeshi academic and researcher in Computer Science & Engineering. Known for his contribution to data-driven technologies, he has authored several impactful publications in domains like machine learning, computer vision, and AI. With strong analytical and problem-solving skills, he’s actively engaged in academic instruction and cutting-edge research. He is currently a Lecturer at Jamalpur Science and Technology University. Khabir combines technical prowess with a passion for innovation, contributing to both academic and social sectors through technological projects and scientific publications.

Publication Profile

Scopus

ORCID

Google Scholar

Education Background

Md. Khabir Uddin Ahamed holds a B.Sc. and M.Sc. in Computer Science & Engineering from Jagannath University, where he secured the 2nd merit position in both undergraduate and postgraduate programs. His academic foundation is further solidified by earlier education from Govt. Science College and BCSIR High School under the Dhaka Board. His strong educational background has shaped his ability to undertake impactful research, particularly in artificial intelligence and data science, and contributed to his success as a university lecturer and researcher.

Professional Experience

Khabir began his teaching career as a Lecturer in the Department of Computer Science & Engineering at Bangladesh University (2022–2023). Since December 2023, he has been serving as a Lecturer at Jamalpur Science and Technology University. In his academic roles, he has taught core courses, guided student research, and contributed to institutional development. He has also participated in multiple training programs under the University Grants Commission of Bangladesh, focusing on modern teaching methods, digital compliance, and administrative tools for higher education.

Awards and Honors

While there are no direct individual award mentions, Khabir’s academic distinction—earning the 2nd merit rank in both B.Sc. and M.Sc.—reflects his scholastic excellence. Furthermore, his publications have earned significant citations, indicating international recognition of his research contributions. His training certifications from the University Grants Commission and Bangladesh Accreditation Council add further credibility to his professional qualifications, reflecting national-level validation and involvement in academic quality assurance systems.

Research Focus

Md. Khabir Uddin Ahamed’s research spans several high-impact areas within computer science, including machine learning, deep learning, data science, computer vision, and blockchain technology. His recent work has explored disease detection using deep learning, behavioral analysis on social media, and intelligent transportation systems. He is passionate about leveraging AI for societal benefit and continues to explore innovative applications of technology to solve real-world problems in agriculture, health, and cybersecurity through interdisciplinary collaboration.

Top Publications