Prof. Dr Bhanu Shrestha, Kwangwoon University, South Korea

Prof. Dr. Bhanu Shrestha is a distinguished academic in Electronic Engineering, with a Ph.D. from Kwangwoon University, Seoul, Korea. He has been active in various leadership roles, including Chairman of ICT-AES and Editor-in-Chief of the International Journal of Advanced Engineering. Dr. Shrestha has contributed extensively to research, with notable book publications and multiple awards, including the “Achievement Award” from IIBC Korea and “Best Paper Award” at ISSAC 214. His work spans various international conferences, focusing on advanced engineering, nanotechnology, and biosensor applications. 🌍📚🏅💻🧑‍🔬

Publication Profile

Scopus

Education

Prof. Dr. Bhanu Shrestha has an extensive academic background in Electronic Engineering. He completed his Ph.D. in Electronic Engineering at Kwangwoon University, Seoul, Korea (2004-2008), after earning his M.S. in the same field at the same institution (2002-2004). Dr. Shrestha’s journey in engineering began with a B.S. in Electronic Engineering from Kwangwoon University (1994-1998). His years of dedication to education and research have contributed significantly to advancements in the field of electronics. ⚙️🎓📡

Experience

Prof. Dr. Bhanu Shrestha is a distinguished leader in engineering, serving as Chairman of ICT-AES from 2022 to 2024. With a long tenure as the Editor-in-Chief of the International Journal of Advanced Engineering, he has shaped academic discourse in the field. His active involvement with the Nepal Engineering Council (NEC) and Nepal Engineers’ Association (NEA) further cements his influence in Nepal’s engineering community. Prof. Shrestha’s commitment to advancing engineering practices is evident through his leadership roles and active contributions to both national and international engineering platforms. 🛠️📚🔧🌍

Honor & Awards

Prof. Dr. Bhanu Shrestha has received numerous prestigious awards throughout his career. Notably, he was honored with the “Achievement Award” from IIBC Korea (2015) 🏆 and multiple “Best Paper Awards” from ISSAC 214 and ICACT (2014) 📄. He also earned the “Excellent Paper Award” from the Korea Institute of Information Technology (2012) 🏅 and the “Certificate of Honorary Citizenship” from the Mayor of Seong-buk, Seoul (2012) 🏙️. His accolades extend to Nepal, where he received the presidential “Nepal Vidhyabhusan Padak ‘Ka’” Gold Medal (2009) 🥇, and several honors for his contributions to Taekwondo and Hapkido 🥋.

Research Focus

Prof. Dr. Bhanu Shrestha’s research focuses on advanced computational techniques, particularly in the intersection of artificial intelligence (AI) and engineering. He explores areas such as machine learning, metaheuristics, and optimization methods applied to real-world challenges in fields like medical imaging (e.g., SPECT-MPI cardiovascular disease classification), traffic accident prediction, and network security. His work also extends to customer churn prediction in telecom industries and network security improvements. Shrestha’s contributions aim to enhance system efficiency, prediction accuracy, and security across diverse technological and engineering domains. 🧠💻⚙️🩺📡

Editorial and Conference

Prof. Dr. Bhanu Shrestha has made significant contributions to the field of engineering through his active involvement in international conferences like ISGMA 2015 and the International Conference on ICT & Digital Convergence (2018) 🌍📡. His dedication to global collaboration is evident in his participation in these events. Additionally, his editorial roles highlight his commitment to maintaining high-quality research output 📚📝. Prof. Dr. Shrestha continues to play a crucial role in advancing engineering through his global outreach, fostering innovation, and contributing to the growth of academic knowledge in his field. 🌟💡

Publication Top Notes

Multi-Scale Dilated Convolution Network for SPECT-MPI Cardiovascular Disease Classification with Adaptive Denoising and Attenuation

CorrectionSpecial Issue on Data Analysis and Artificial Intelligence for IoT

Correction to: A Proposed Waiting Time Algorithm for a Prediction and Prevention System of Traffic Accidents Using Smart Sensors (Electronics, (2022), 11, 11, (1765), 10.3390/electronics11111765)

Levy Flight-Based Improved Grey Wolf Optimization: A Solution for Various Engineering Problems

Leveraging metaheuristics with artificial intelligence for customer churn prediction in telecom industries

A Study on Improving M2M Network Security through Abnormal Traffic Control

Generative Adversarial Networks with Quantum Optimization Model for Mobile Edge Computing in IoT Big Data

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

Posted on 20/12/202420/12/2024 by ScienceFather

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. 🌍🔧 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. 📊🛠 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 Iran’s gas and steel industries. 🚀📉 A passionate educator, he teaches advanced courses in reliability, stochastic processes, and maintenance planning. 🎓✨

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 🌟📚. He excels at transforming complex engineering challenges into predictive analytics solutions 📊⚙️. 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 🤖📐. His expertise lies in bridging theoretical concepts with practical applications, delivering impactful results. Dr. Monfared’s dedication to innovation and structured problem-solving makes him a highly respected figure in his field 🚀✨.

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 🎓⚙️. He earned his first MSc in Industrial Engineering & Operations Research from Sharif University in Tehran, Iran (1991) 📊🇮🇷, and his second MSc in System Engineering from the University of Regina, Canada (1994) 🌍🔧. 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 🌟📚.

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 🏭🚗📟🧼. Now a respected academic, he teaches graduate courses such as Reliability Engineering, Advanced Maintenance Planning, Stochastic Processes, and RCM 📚🔧. His undergraduate teachings include Engineering Statistics, Inventory Planning, and Advanced Operations Research 📊📐. Dr. Monfared’s rich professional background enriches his lectures, combining practical expertise with academic excellence, making him a vital contributor to engineering education 🌟.

Recent Projects with Industries

Assoc. Prof. Dr. Mohammad Ali Saniee Monfared showcases exceptional problem-solving and industry relevance in his recent projects. 🌟 His groundbreaking “Multi-perspective Risk Assessment in the Gas Industry” (2021-2023) analyzed a city gate station from 12 stakeholder viewpoints, a first in the field. 🚧📊 In 2022, he developed an innovative risk-based maintenance model for a 35-year-old city gate station, enhancing safety and mitigating catastrophic risks. 🔧⚙️ Additionally, his 2020 project on reliability-based maintenance for a seal gas compressor improved reliability by 15% using a redundancy model. 🚀📈 These achievements highlight his ingenuity and commitment to advancing engineering practices. 👨‍🔬✨

Research Focus

Assoc. Prof. Dr. Mohammad Ali Saniee Monfared’s research primarily focuses on network analysis, reliability, and optimization, with applications spanning academic performance, power grids, water distribution systems, and road networks. 🖧🔍 His work explores vulnerability assessment using complex network theory 🌐, optimization techniques ⚙️, and adaptive systems 📈. Dr. Monfared’s interdisciplinary contributions include advancing sensor placement for contamination detection 🚰, controlling multi-electron dynamics in molecular systems 🧬, and developing frameworks for manufacturing automation 🤖. His research integrates statistical mechanics, evolutionary algorithms, and time-series analysis to enhance system reliability and efficiency 🔬📊. His impactful publications reflect innovative solutions in engineering and science. 🚀✨

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

Posted on 24/09/202424/09/2024 by ScienceFather

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 technology‘s role in education and sensory experience. Here’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. Deliyannis’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. Deliyannis’ 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)

Deliyannis’ 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)

Deliyannis’ 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 Deliyannis’ 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 Teachers’ 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

Posted on 24/08/202424/08/2024 by ScienceFather

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 Master’s level, underscore his dedication and capability in his field.

Work Experience and Contributions

Mr. Dauda’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. Dauda’s research interests in emerging and high-impact areas like IoT Security and Big Data are particularly relevant in today’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 Dauda’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

Posted on 03/08/202403/08/2024 by ScienceFather

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 📚

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 🔬

Mr. Fatemi’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 📝

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 🛠️

Mr. Fatemi’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 Fatemi’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 children’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

Posted on 16/07/202416/07/2024 by ScienceFather

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 Bachelor’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. 🌟🎓💼

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 🎓📚. 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 📘💡. Additionally, they graduated with distinction in Computer Science from the University of Minnesota, Twin Cities, USA (1993) 🎓💻.

Experience

With extensive experience in the tech industry, the individual served as a Senior Consultant at Oracle Systems Hong Kong Ltd (Aug 2000 – Sep 2003) 🏢, a Software Engineer at Skyworld Technology Ltd (Jun 1993 – May 1994) 💻, and a Consultant at the Microcomputer Laboratory, University of Minnesota (Sep 1991 – Mar 1993) 📊. Since Sep 2003, they have been a Lecturer at CPCE, PolyU 📚, and previously held roles as a Lecturer (Sep 1998 – Aug 2000) 👨‍🏫, Demonstrator (Sep 1996 – Aug 1998) 🔬, and Research Student (Jun 1994 – Jun 1996) 🎓 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 🎉📚. I have successfully led and contributed to various high-impact projects, including those funded by the Quality Education Fund and CPCE 🏆💡. My roles have ranged from Associate Academic Director to Co-Investigator and Consultant, focusing on innovative technologies like AI, blockchain, and machine learning 🤖🔗. 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 🎓💼.

Research focus

Simon Wong’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. 🌐📦🔗📊🌿