Ali Hessami | AI Ethics | Best Researcher Award

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.

Dr. Saikat Gochhait | Artificial Intelligence | Best Researcher Award

Dr. Saikat Gochhait | Artificial Intelligence | Best Researcher Award

Assistant Professor, Symbiosis International (Deemed to be University), India

Dr. Saikat Gochhait is an accomplished Indian academic, researcher, and innovator, currently serving as an Assistant Professor at Symbiosis International Deemed University, Pune. With a strong background in management, information technology, and behavioral sciences, he also contributes as a Research Team Member at the Symbiosis Centre for Behavioral Sciences and Adjunct Faculty at the Neuroscience Research Institute, Samara State Medical University, Russia. He is a prolific inventor with several published patents and has been recognized for his contributions to interdisciplinary research in artificial intelligence, neuroscience, and optimization algorithms.

Publication Profile

🎓 Education Background

Dr. Gochhait earned his Doctor of Philosophy (Ph.D.) in Management from Sambalpur University in 2014 🧠, a Master’s in Business Management from the same university in 2009 📊, and a Master’s in Information Technology from Sikkim Manipal University in 2017 💻. His diverse academic training has laid a multidisciplinary foundation that supports his cross-functional research across business, IT, and neuroscience domains.

💼 Professional Experience

With over two decades of experience spanning academia and industry, Dr. Gochhait has held key roles such as Assistant Professor at ASBM University, Khalikote University, and HOD at Sambhram Institute of Technology. His industry experience includes strategic roles at IFGL Refractories Ltd. and Tata Krosaki Refractories Ltd. Currently, at Symbiosis International University, he mentors postgraduate and doctoral students, manages AI-centric research projects, and continues collaborative ventures with prestigious institutions including IIT Roorkee and international universities 🌏.

🏆 Awards and Honors

Dr. Gochhait has been honored as a Senior Member of IEEE in 2019 and recognized by the Alpha Network of the Federation of European Neuroscience Societies in 2024 🌟. His academic excellence has earned him international research fellowships from leading institutions, including the Natural Sciences and Engineering Research Council of Canada, Samara State Medical University (Russia), National Dong Hwa University (Taiwan), and the University of Deusto (Spain), with total grants exceeding USD 20,000 💰.

🔬 Research Focus

Dr. Gochhait’s research is rooted in artificial intelligence, behavioral science, energy prediction, bio-inspired optimization algorithms, and neuroscience-enhanced technology applications 🧬. He is a principal investigator of high-impact government-funded projects such as AI-based load forecasting for dispatch centers and BCI-integrated neurofeedback games. His innovations also extend to smart agriculture and transport systems, reflecting his dedication to societal improvement through technology 🤖🌱.

✅ Conclusion

Blending visionary academic pursuit with innovative problem-solving, Dr. Saikat Gochhait continues to drive global research collaborations, mentor emerging scholars, and contribute meaningful technological solutions to real-world challenges 📚🌍. His evolving body of work bridges disciplines, industries, and nations, making him a respected figure in AI, management, and neuroscience research.

📚 Top Publications

Pufferfish Optimization Algorithm: A New Bio-Inspired Metaheuristic Algorithm for Solving Optimization Problems
Biomimetics, 2024Indexed in Scopus/WoS
Cited by: 12 articles

Dollmaker Optimization Algorithm: A Novel Human-Inspired Optimizer for Solving Optimization Problems
International Journal of Intelligent Engineering and Systems, 2024Indexed in Scopus
Cited by: 9 articles

Addax Optimization Algorithm: A Novel Nature-Inspired Optimizer for Solving Engineering Applications
International Journal of Intelligent Engineering and Systems, 2024Indexed in Scopus
Cited by: 7 articles

Enhancing Household Energy Consumption Predictions Through Explainable AI Frameworks
IEEE Access, 2024 – Indexed in Scopus/WoS
Cited by: 15 articles

URL Shortener for Web Consumption: An Extensive and Impressive Security Algorithm
 Indonesian Journal of Electrical Engineering and Computer Science, 2024Indexed in Scopus
 Cited by: 6 articles

Sikandar Ali | Artificial Intelligence Award | Best Researcher Award

Dr. Sikandar Ali | Artificial Intelligence Award | Best Researcher Award

Postdoc Fellow, Inje University, South Korea

🎓 Sikandar Ali is a passionate AI researcher and educator specializing in Artificial Intelligence applications in healthcare. Currently pursuing a PhD at Inje University, South Korea, he has a strong academic background and extensive research experience in digital pathology, medical imaging, and machine learning. As a team leader of the digital pathology project, he develops innovative AI algorithms for cancer diagnosis while collaborating with a global team of researchers. Sikandar is a recipient of prestigious scholarships, accolades, and recognition for his contributions to AI and healthcare innovation.

Publication Profile

Google Scholar

Education

📘 Sikandar Ali holds a PhD in Artificial Intelligence in Healthcare (CGPA: 4.46/4.5) from Inje University, South Korea, where his thesis focuses on integrating pathology foundation models with weakly supervised learning for gastric and breast cancer diagnosis. He earned an MS in Computer Science from Chungbuk National University, South Korea (GPA: 4.35/4.5), with research on AI-based clinical decision support systems for cardiovascular diseases. His undergraduate degree is a Bachelor of Engineering in Computer Systems Engineering from Mehran University of Engineering and Technology, Pakistan, with a CGPA of 3.5/4.0.

Experience

💻 Sikandar is an experienced researcher and AI specialist. Currently working as an AI Research Assistant at Inje University, he focuses on cutting-edge projects in digital pathology, cancer detection, and medical imaging. Previously, he worked as a Research Assistant at Chungbuk National University, focusing on cardiovascular disease diagnosis using AI. His industry experience includes roles such as Search Expert at PROGOS Tech Company and Software Developer Intern at Hidaya Institute of Science and Technology.

Awards and Honors

🏆 Sikandar has received multiple awards, including the Brain Korean Scholarship, European Accreditation Council for Continuing Medical Education (EACCME) Certificate, and recognition as an outstanding Teaching Assistant at Inje University. He has also earned full travel grants for international conferences, extra allowances for R&D industry projects, and certificates for reviewing research papers in leading journals. Additionally, he is a Guest Editor at Frontiers in Digital Health.

Research Focus

🔬 Sikandar’s research focuses on developing AI algorithms for medical imaging, with expertise in weakly supervised learning, self-supervised learning, and digital pathology. His projects include designing AI systems for cancer detection, COVID-19 prediction, and IPF severity classification. He also works on object detection applications using YOLO models and wearable sensor-based activity detection for pets. His commitment to explainability and interpretability in AI models ensures their practical utility in healthcare.

Conclusion

🌟 Sikandar Ali is a dedicated AI researcher driving innovation in healthcare through artificial intelligence. With his strong educational foundation, diverse research experience, and impactful contributions, he aims to bridge the gap between AI and medicine, making healthcare more efficient and accessible.

Publications

Detection of COVID-19 in X-ray Images Using DCSCNN
Sensors 2022, IF: 3.4

A Soft Voting Ensemble-Based Model for IPF Severity Prediction
Life 2021, IF: 3.2

Metaverse in Healthcare Integrated with Explainable AI and Blockchain
Sensors 2023, IF: 3.4

Weakly Supervised Learning for Gastric Cancer Classification Using WSIs
Springer 2023

Classifying Gastric Cancer Stages with Deep Semantic and Texture Features
ICACT 2024

Computer Vision-Based Military Tank Recognition Using YOLO Framework
ICAISC 2023

Activity Detection for Dog Well-being Using Wearable Sensors
IEEE Access 2022

Cat Activity Monitoring Using Wearable Sensors
IEEE Sensors Journal 2023, IF: 4.3

Deep Learning for Algae Species Detection Using Microscopic Images
Water 2022, IF: 2.9

Comprehensive Review on Multiple Instance Learning
Electronics 2023

Hybrid Model for Face Shape Classification Using Ensemble Methods
Springer 2021

Cervical Spine Fracture Detection Using Two-Stage Deep Learning
IEEE Access 2024