Mohammad Ali Saniee Monfared | Computer Science and Artificial Intelligence | Best Researcher Award

Mohammad Ali Saniee Monfared | Computer Science and Artificial Intelligence | Best Researcher Award

Assoc. Prof. Dr Mohammad Ali Saniee Monfared , Alzahra university, Iran

Assoc. Prof. Dr. Mohammad Ali Saniee Monfared is an accomplished academic and industry expert with over 20 years of experience. ๐ŸŒ๐Ÿ”ง With a Ph.D. in Manufacturing and Mechanical Engineering from the University of Birmingham, UK (1997), and dual MSc degrees in System Engineering and Industrial Engineering, he bridges academia and industry seamlessly. ๐Ÿ“Š๐Ÿ›  He has worked in tire, automotive, electronics, and cosmetic manufacturing. His expertise spans risk assessment, predictive analytics, and reliability engineering, highlighted by groundbreaking projects in Iranโ€™s gas and steel industries. ๐Ÿš€๐Ÿ“‰ A passionate educator, he teaches advanced courses in reliability, stochastic processes, and maintenance planning. ๐ŸŽ“โœจ

Publication Profile

google scholar

Qualification

Assoc. Prof. Dr. Mohammad Ali Saniee Monfared is a seasoned professional with over 20 years of experience spanning industry and academia ๐ŸŒŸ๐Ÿ“š. He excels at transforming complex engineering challenges into predictive analytics solutions ๐Ÿ“Šโš™๏ธ. Dr. Monfared is known for crafting statistical models to address intricate problems and developing testbeds to verify and validate these solutions using advanced machine learning techniques ๐Ÿค–๐Ÿ“. His expertise lies in bridging theoretical concepts with practical applications, delivering impactful results. Dr. Monfaredโ€™s dedication to innovation and structured problem-solving makes him a highly respected figure in his field ๐Ÿš€โœจ.

Education

Assoc. Prof. Dr. Mohammad Ali Saniee Monfared is a distinguished academic with a Ph.D. from the University of Birmingham, UK (1997) in Manufacturing and Mechanical Engineering ๐ŸŽ“โš™๏ธ. He earned his first MSc in Industrial Engineering & Operations Research from Sharif University in Tehran, Iran (1991) ๐Ÿ“Š๐Ÿ‡ฎ๐Ÿ‡ท, and his second MSc in System Engineering from the University of Regina, Canada (1994) ๐ŸŒ๐Ÿ”ง. With extensive expertise in engineering and operations, Dr. Monfared has significantly contributed to his field through research and teaching. His international education underscores his commitment to advancing knowledge and innovation in engineering disciplines ๐ŸŒŸ๐Ÿ“š.

Experience 

Assoc. Prof. Dr. Mohammad Ali Saniee Monfared boasts diverse industrial experience, including 8 years in tire and rubber manufacturing, 2 years in the automotive sector, 2 years in electronics, and 2 years in cosmetic and soap production ๐Ÿญ๐Ÿš—๐Ÿ“Ÿ๐Ÿงผ. Now a respected academic, he teaches graduate courses such as Reliability Engineering, Advanced Maintenance Planning, Stochastic Processes, and RCM ๐Ÿ“š๐Ÿ”ง. His undergraduate teachings include Engineering Statistics, Inventory Planning, and Advanced Operations Research ๐Ÿ“Š๐Ÿ“. Dr. Monfaredโ€™s rich professional background enriches his lectures, combining practical expertise with academic excellence, making him a vital contributor to engineering education ๐ŸŒŸ.

Recent Projects with Industries 

Assoc. Prof. Dr. Mohammad Ali Saniee Monfared showcases exceptional problem-solving and industry relevance in his recent projects. ๐ŸŒŸ His groundbreaking โ€œMulti-perspective Risk Assessment in the Gas Industryโ€ (2021-2023) analyzed a city gate station from 12 stakeholder viewpoints, a first in the field. ๐Ÿšง๐Ÿ“Š In 2022, he developed an innovative risk-based maintenance model for a 35-year-old city gate station, enhancing safety and mitigating catastrophic risks. ๐Ÿ”งโš™๏ธ Additionally, his 2020 project on reliability-based maintenance for a seal gas compressor improved reliability by 15% using a redundancy model. ๐Ÿš€๐Ÿ“ˆ These achievements highlight his ingenuity and commitment to advancing engineering practices. ๐Ÿ‘จโ€๐Ÿ”ฌโœจ

Research Focus

Assoc. Prof. Dr. Mohammad Ali Saniee Monfaredโ€™s research primarily focuses on network analysis, reliability, and optimization, with applications spanning academic performance, power grids, water distribution systems, and road networks. ๐Ÿ–ง๐Ÿ” His work explores vulnerability assessment using complex network theory ๐ŸŒ, optimization techniques โš™๏ธ, and adaptive systems ๐Ÿ“ˆ. Dr. Monfaredโ€™s interdisciplinary contributions include advancing sensor placement for contamination detection ๐Ÿšฐ, controlling multi-electron dynamics in molecular systems ๐Ÿงฌ, and developing frameworks for manufacturing automation ๐Ÿค–. His research integrates statistical mechanics, evolutionary algorithms, and time-series analysis to enhance system reliability and efficiency ๐Ÿ”ฌ๐Ÿ“Š. His impactful publications reflect innovative solutions in engineering and science. ๐Ÿš€โœจ

Publication Top Notes

Network DEA: an application to analysis of academic performance

Topology and vulnerability of the Iranian power grid

A complex network theory approach for optimizing contamination warning sensor location in water distribution networks

Comparing topological and reliability-based vulnerability analysis of Iran power transmission network

Controlling the multi-electron dynamics in the high harmonic spectrum from N2O molecule using TDDFT

Design of integrated manufacturing planning, scheduling and control systems: a new framework for automation

Fuzzy adaptive scheduling and control systems

A new adaptive exponential smoothing method for non-stationary time series with level shifts

An improved evolutionary algorithm for handling many-objective optimization problems

Road networks reliability estimations and optimizations: A Bi-directional bottom-up, top-down approach

 

Ioannis Deliyannis | Computer Science and Artificial Intelligence | Excellence in Research Award

Ioannis Deliyannis | Computer Science and Artificial Intelligence | Excellence in Research Award

Prof Ioannis Deliyannis, Ionian University, Greece

Dr. Ioannis Deliyannis, with his extensive research and innovative contributions, seems like an ideal candidate for the Research for Excellence in Research Award. His publications span diverse topics in interactive multimedia, virtual reality, and serious games, often focusing on technologyโ€˜s role in education and sensory experience. Hereโ€™s a breakdown of his achievements that demonstrate his suitability for this award:

Publication profile

google scholar

Excellence in Research and Innovation

Dr. Deliyannis has made significant contributions to interactive multimedia systems, with a focus on creative and experimental technologies. His research ranges from the development of educational and multi-sensory games to applications in virtual and augmented reality, areas known for innovation and societal impact.

Impact of Research

Dr. Deliyannisโ€™s research addresses emerging concerns, such as ethical issues in VR, game-based learning, and the potential of mobile sensory systems to enhance interactive experiences. His work on serious games for education demonstrates both academic impact and practical applications.

Collaboration and Leadership

As a founding member of the inArts research lab, Dr. Deliyannis has demonstrated leadership in research collaborations, producing impactful work in the multimedia field and creating frameworks for augmented reality in archaeological environments, which blends technology with cultural preservation.

Virtual Reality and Ethical Concerns (2021)

In this publication, Deliyannis co-authors a systematic review of ethical issues and concerns surrounding the use of virtual reality applications, particularly focusing on their potential risks to children and adolescents. This work highlights his focus on the social impacts of emerging technologies.

Barriers in Digital Game-Based Learning (2021)

This research investigates the challenges faced by pre-service teachers when implementing digital game-based learning in classrooms. Deliyannisโ€™ focus on practical education technologies demonstrates his contribution to bridging the gap between theoretical knowledge and classroom implementation.

Game Design and Intelligent Interaction (2020)

As the editor of this book, Deliyannis explores the integration of intelligent interaction in game design, positioning himself at the forefront of research on user experience and the development of interactive systems.

From Interactive to Experimental Multimedia (2012)

In this earlier work, Deliyannis explores the transition from interactive to experimental multimedia, which reflects his innovative approach to developing cutting-edge multimedia systems and intelligent design methodologies.

Serious Games Evaluation Scale (2019)

This publication validates a scale that allows players to evaluate serious games, showcasing his contribution to the development of tools for analyzing the effectiveness of educational games.

Learning Effectiveness in Serious Games (2019)

Deliyannisโ€™ research investigates factors influencing the learning effectiveness of serious games, contributing to the understanding of motivation and pedagogical outcomes in technology-enhanced learning.

Digital Scent Technology and the Metaverse (2022)

In this study, Deliyannis examines digital scent technology and its potential applications in the metaverse, further demonstrating his engagement with the latest technological advancements.

Augmented Reality in Archaeological Environments (2014)

He co-authored a framework for augmented reality in archaeology, contributing to both technological innovation and cultural preservation.

Smart Pedagogy and Motivation (2019)

Deliyannisโ€™ work explores the role of motivation in smart pedagogy, further emphasizing his contributions to enhancing learning environments through technological innovation.

Interactive Multimedia for Science (2011)

In this earlier work, Deliyannis developed interactive multimedia systems, demonstrating his long-standing commitment to the use of multimedia technologies in education.

Conclusion

Dr. Ioannis Deliyannisโ€™ diverse and impactful contributions to interactive multimedia systems, serious games, virtual reality, and education technologies make him a strong candidate for the Research for Excellence in Research Award. His work is not only innovative but also deeply concerned with societal and educational impacts, positioning him as a leader in his field.

Publication top notes

Could virtual reality applications pose real risks to children and adolescents? A systematic review of ethical issues and concerns

Potential Barriers to the Implementation of Digital Game-Based Learning in the Classroom: Pre-service Teachersโ€™ Views

Game Design and Intelligent Interaction

From Interactive to Experimental Multimedia

Let players evaluate serious games. Design and validation of the Serious Games Evaluation Scale

Factors influencing the subjective learning effectiveness of serious games

Digital scent technology: Toward the internet of senses and the metaverse

Augmented Reality for Archaeological Environments on mobile devices: a novel open framework

ABDULKADIR DAUDA | Computer Science and Artificial Intelligence | Best Researcher Award

ABDULKADIR DAUDA | Computer Science and Artificial Intelligence | Best Researcher Award

ABDULKADIR DAUDA, University of Reims Champagne-Ardenne, France

Based on the information provided, Mr. Abdulkadir Dauda appears to be a strong candidate for the Best Researcher Award. His academic background, professional experience, and research contributions highlight his qualifications and impact in the field of computer science. Below is an evaluation of his suitability for the award:

Publication profile

Orcid

Academic and Professional Qualifications

Mr. Dauda has a robust academic background, including a Master of Science Degree in Computer Science with Distinction and ongoing doctoral studies at Universite De Reims Champagne-Ardenne, France. His academic achievements, particularly his distinction at the Masterโ€™s level, underscore his dedication and capability in his field.

Work Experience and Contributions

Mr. Daudaโ€™s professional experience as a Lecturer II in the Department of Computer Science at the Federal University of Lafia (2014-2022) demonstrates his commitment to education and research. He has taken on significant roles, such as Departmental Examination Officer and Programme Coordinator, which show his leadership and involvement in academic administration. His work in system and network administration during his tenure at the Federal Capital Territory Judiciary further highlights his practical expertise in computer science.

Research Contributions

Mr. Dauda has an impressive portfolio of research publications that focus on critical areas such as IoT Security, High-Performance Computing, and Distributed and Parallel Architectures. His publications in reputed journals and conferences, including the 2023 International Conference on Wireless Networks and Mobile Communications (WINCOM), demonstrate his active engagement in advancing knowledge in these fields. His collaborative work with international scholars further reflects the quality and impact of his research.

Research Interests and Impact

Mr. Daudaโ€™s research interests in emerging and high-impact areas like IoT Security and Big Data are particularly relevant in todayโ€™s technological landscape. His contributions to these fields, through both his research and practical work, suggest a deep understanding and innovative approach to solving complex problems in computer science.

Conclusion

Mr. Abdulkadir Daudaโ€™s academic excellence, professional experience, and significant research contributions make him a suitable candidate for the Best Researcher Award. His work not only advances the field of computer science but also demonstrates a commitment to teaching, mentoring, and community service, further solidifying his qualification for this honor.

Publication top notes

A Survey on IoT Application Architectures

 

Yasin Fatemi | Computer Science and Artificial Intelligence | Best Researcher Award

Yasin Fatemi | Computer Science and Artificial Intelligence | Best Researcher Award

Mr Yasin Fatemi, Auburn University, United States

Based on the details provided, Mr. Yasin Fatemi is a highly suitable candidate for a Researcher of the Year Award.

Publication profile

google scholar

Educational Background ๐Ÿ“š

Mr. Fatemi has a robust academic foundation with a Ph.D. in Industrial and Systems Engineering from Auburn University, where he has maintained a perfect GPA of 4.0. His ongoing M.Sc. in Data Science further complements his expertise, and he also holds an M.Sc. and B.Sc. in Industrial and Systems Engineering from Tarbiat Modares University and the University of Kurdistan, respectively. This diverse and interdisciplinary educational background supports his innovative research in healthcare and systems optimization.

Research Experience and Contributions ๐Ÿ”ฌ

Mr. Fatemiโ€™s research is both extensive and impactful. His recent work involves using machine learning and network analysis to address critical healthcare issues such as low birth weight prediction, racial disparities in maternal outcomes, and cardiovascular death among liver transplant recipients. These projects showcase his ability to apply advanced analytical methods to real-world problems, significantly contributing to the fields of healthcare and data science. His studies have utilized cutting-edge techniques such as Recursive Feature Elimination, SHapley Additive exPlanations (SHAP), and network feature analysis, highlighting his technical prowess and innovation.

Publications and Academic Output ๐Ÿ“

Mr. Fatemi has authored several peer-reviewed articles, contributing to reputable journals like Frontiers in Public Health and Journal of Multidisciplinary Healthcare. His research on the stress and compensation perceptions of frontline nurses during the COVID-19 pandemic, as well as his work on hospital smart notification systems, demonstrates his commitment to improving healthcare environments and outcomes. His publications reflect his ability to tackle diverse and pressing issues, making him a significant contributor to the academic community.

Technical and Academic Skills ๐Ÿ› ๏ธ

Mr. Fatemiโ€™s technical skills are impressive, encompassing data analysis tools like Python, R, and SQL, and specialized software for simulation and optimization. His expertise in machine learning, statistical learning, and network analysis is evident in his research outputs, further establishing his credibility as an innovative researcher.

Conclusion

Mr. Yasin Fatemiโ€™s strong educational background, extensive research experience, and impactful contributions to healthcare and data science make him an excellent candidate for a Best Researcher Award. His ability to apply complex analytical techniques to critical issues in healthcare and his consistent academic excellence underscore his suitability for this recognition.

Publication top notes

Investigating frontline nurse stress: perceptions of job demands, organizational support, and social support during the current COVID-19 pandemic

Listening to the Voice of the hospitalized child: comparing childrenโ€™s experiences to their parents

The Cost of Frontline Nursing: Investigating Perception of Compensation Inadequacy During the COVID-19 Pandemic

ChatGPT in Teaching and Learning: A Systematic Review

Machine Learning Approach for Cardiovascular Death Prediction among Nonalcoholic Steatohepatitis (NASH) Liver Transplant Recipients

Evaluating a Hospital Smart Notification System in a Simulated Environment: The Method

Machine Learning Approaches for Cardiovascular Death Prediction Among Nash Liver Transplant Recipients

 

 

Simon Wong | Computer Science and Artificial Intelligence | Best Researcher Award

Simon Wong | Computer Science and Artificial Intelligence | Best Researcher Award

Dr Simon Wong, College of Professional and Continuing Education, the Hong Kong Polytechnic University, Hong Kong

Dr. Simon Wong is a distinguished educator with a Doctor of Education from the University of Leicester, UK. His extensive academic background includes an M.Phil. from PolyU and a Bachelorโ€™s in Computer Science from the University of Minnesota, USA. Dr. Wong serves as a lecturer at CPCE, PolyU, and holds professional certifications in financial technology and Oracle. His industrial experience spans roles as a senior consultant and software engineer. Dr. Wong has led numerous academic programs and research initiatives, specializing in subjects like database systems, e-commerce, and cloud computing. He is a committed member of professional organizations and has significantly contributed to academic management and leadership. ๐ŸŒŸ๐ŸŽ“๐Ÿ’ผ

Publication profile

Orcid

Academic Qualifications

Dr.  holds a Doctor of Education from the University of Leicester, UK (2012), where they researched effective online learning in Hong Kong higher education institutions, supervised by Prof. Paul Cooper ๐ŸŽ“๐Ÿ“š. They also earned a Master of Philosophy from PolyU (1997), focusing on designing and analyzing a bypass construction algorithm for self-healing asynchronous transfer mode networks under the guidance of Dr. K. C. Chang and Prof. Keith Chan ๐Ÿ“˜๐Ÿ’ก. Additionally, they graduated with distinction in Computer Science from the University of Minnesota, Twin Cities, USA (1993) ๐ŸŽ“๐Ÿ’ป.

Experience

With extensive experience in the tech industry, the individual served as a Senior Consultant at Oracle Systems Hong Kong Ltd (Aug 2000 โ€“ Sep 2003) ๐Ÿข, a Software Engineer at Skyworld Technology Ltd (Jun 1993 โ€“ May 1994) ๐Ÿ’ป, and a Consultant at the Microcomputer Laboratory, University of Minnesota (Sep 1991 โ€“ Mar 1993) ๐Ÿ“Š. Since Sep 2003, they have been a Lecturer at CPCE, PolyU ๐Ÿ“š, and previously held roles as a Lecturer (Sep 1998 โ€“ Aug 2000) ๐Ÿ‘จโ€๐Ÿซ, Demonstrator (Sep 1996 โ€“ Aug 1998) ๐Ÿ”ฌ, and Research Student (Jun 1994 โ€“ Jun 1996) ๐ŸŽ“ in the Department of Computing at PolyU.

Awards

With an illustrious career marked by numerous accolades and significant research contributions, I have received the Best Paper Awards in 2018, 2019, and 2023 ๐ŸŽ‰๐Ÿ“š. I have successfully led and contributed to various high-impact projects, including those funded by the Quality Education Fund and CPCE ๐Ÿ†๐Ÿ’ก. My roles have ranged from Associate Academic Director to Co-Investigator and Consultant, focusing on innovative technologies like AI, blockchain, and machine learning ๐Ÿค–๐Ÿ”—. My work has significantly advanced educational technology and pedagogy, earning over HK$2 million in funding for projects aimed at improving learning experiences and outcomes ๐ŸŽ“๐Ÿ’ผ.

Research focus

Simon Wongโ€™s research focus is on the integration of blockchain technology in supply chain management, emphasizing sustainability. His work includes examining the adoption of blockchain integrated with cloud-based systems and machine learning to enhance sustainable practices in supply chains. Through critical literature reviews and case studies, Wong investigates the technical sustainability and implications of blockchain technology. His research aims to provide insights into the practical applications and benefits of blockchain for improving transparency, efficiency, and sustainability in supply chain operations. ๐ŸŒ๐Ÿ“ฆ๐Ÿ”—๐Ÿ“Š๐ŸŒฟ

Publication top notes

A Critical Literature Review on Blockchain Technology Adoption in Supply Chains

A Case Study of How Maersk Adopts Cloud-Based Blockchain Integrated with Machine Learning for Sustainable Practices

Technical Sustainability of Cloud-Based Blockchain Integrated with Machine Learning for Supply Chain Management

Sustainability of Blockchain Technology in Supply Chains: Implications from a Critical Literature Review