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 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. ๐ŸŒŸ๐ŸŽ“๐Ÿ’ผ

Publication profile

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Academic Qualifications

Dr.ย  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 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. 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

 

William Lawless | Computer Science and Artificial Intelligence | Best Researcher Award

William Lawless | Computer Science and Artificial Intelligence | Best Researcher Award

Dr William Lawless, Paine College, United States

W.F. Lawless is a pioneering mechanical engineer known for blowing the whistle on nuclear waste mismanagement in 1983. He earned his PhD in 1992, focusing on organizational failures among leading scientists. Invited to join the DOE’s citizens advisory board at Savannah River Site, he coauthored key recommendations for environmental remediation. His research centers on autonomous human-machine teams, and he has edited nine influential books on AI, including the award-nominated Human-Machine Shared Contexts. With over 300 peer-reviewed publications, he has organized multiple symposia and special issues, contributing significantly to the field of artificial intelligence. ๐Ÿ”ฌ๐Ÿค–๐Ÿ“š

Publication profile

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Research focus

William Lawless’s research focuses on the dynamics of human-machine collaboration, particularly in the context of autonomy and uncertainty. His work explores how knowledge, risk perception, and interdependence influence the effectiveness of autonomous teams. By examining models that integrate quantum-like principles, he aims to enhance our understanding of decision-making processes within complex systems. His publications highlight the essential tension between knowledge and uncertainty, proposing new frameworks for improving human-machine interactions. This interdisciplinary approach bridges technology and human factors, contributing significantly to fields like robotics, artificial intelligence, and human-computer interaction. ๐Ÿค–๐Ÿ“Š๐Ÿ”

Publication top notes

Shannon Holes, Black Holes, and Knowledge: The Essential Tension for Autonomous Humanโ€“Machine Teams Facing Uncertainty

A Quantum-like Model of Interdependence for Embodied Humanโ€“Machine Teams: Reviewing the Path to Autonomy Facing Complexity and Uncertainty

Risk Determination versus Risk Perception: A New Model of Reality for Human–Machine Autonomy

 

Bahareh Abedin | Business Hypotheses | Best Researcher Award

Bahareh Abedin | Business Hypotheses | Best Researcher Award

Dr Bahareh Abedin, University of Mazandaran, Iran

๐ŸŒŸ Dr. Bahareh Abedin is an Assistant Professor in the Department of Business Administration at the University of Mazandaran. With a Ph.D. in Strategic Management, she specializes in business analysis and strategic planning for SMEs. As Director of Executive Management and Secretary of the University-Industry Relations Committee, she bridges academia and industry. Her research focuses on behavioral strategic management and the industry-academia relationship. Dr. Abedin has supervised numerous HDR students and serves as Internal Manager for the Journal of Sustainable Human Resource Management. Her work includes publications on green HR practices and effective organizational leadership. ๐Ÿ“ˆ๐Ÿ“š

Publication profile

google scholar

๐Ÿ“š Educationalย 

PhD in Strategic Management from Tarbiat Modares University, Iran.

Experience

Expertise in business analysis, strategic management, and marketing, with prior roles in sales and management consulting.

Research focus

B. Abedin’s research focuses on organizational behavior, leadership, and human resource management, with a particular emphasis on the impact of family functions on family business development. Their work explores strategic issues within organizations, particularly during crises like COVID-19, and includes studies on customer perceptions in marketing and the integration of technology in business practices. Recent contributions involve sustainable human resource management and the role of spiritual intelligence in leadership. Overall, Abedin’s research addresses the intersection of management theory and practical applications in diverse organizational contexts. ๐Ÿ“Š๐Ÿ‘จโ€๐Ÿ’ผ๐ŸŒโœจ

Publication top notes

Effects of family functions and structural changes on family business development (social capital evidence)

Investigating what determines strategic issues in organizations: A qualitative study

Formation and Identification of Strategic Issues in Organizations: A review and classification of current studies

Investigating Effective Organizational Leadership’s Indicators in Covid19 Crisis Management.

Machine Learning in Behavioral Finance: A Systematic Literature Review.

designing a conceptual model of Talent Turnover among Iranian Organizations: An Exploratory Research in ICT industry

Spiritual Intelligence as a Transformational Tool for Organizational Leaders A Case Study of National Iranian Oil Company

Investigating Customers’ Attitude and Perception toward Mobile Marketing in the ICT Era

Explaining the Relationship between the Perceived Value of Customers of Luxury Car Brands and their Purchasingโ€Ž Behavior in Tehran

Customer Satisfaction Measurement: Through Multi-Criteria Analysis Model (MUSA)

 

MBOHOU Sylvain | Social Sciences | Best Researcher Award

MBOHOU Sylvain | Social Sciences | Best Researcher Award

Dr MBOHOU Sylvain, Universidade Estadual do Maranhรฃo, UEMA, Brazil

Dr MBOHOU Sylvain is an Assistant Professor specializing in the History of Contemporary Africa and The Global South in International Relations. Currently a postdoctoral researcher at Universidade Estadual do Maranhรฃo, Brazil, they also serve on the editorial committees of Nouvelle Afrique Editions and the International Journal of Business Diplomacy and Economy. With a Ph.D. in African History and International Relations from the University of Dschang, their research focuses on slavery, international relations, and heritage management. They have extensive teaching experience in Cameroon and have authored several impactful theses and reports. ๐ŸŒŸโœ๏ธ

Publication profile

Orcid

Experience

Dr. Dr MBOHOU Sylvain is an Assistant Professor teaching courses like “History of Contemporary Africa” and “The Global South in International Relations” since April 2024. Currently a postdoctoral researcher at Universidade Estadual do Maranhรฃo, Brazil, since June 2023, he also serves on the editorial committees of Nouvelle Afrique Editions and the International Journal of Business Diplomacy and Economy. An expert for AFFADA in Cameroon since 2015, he has been an associate researcher at CERPETA since 2014. He previously taught history at various institutions in Cameroon from 2009 to 2023. ๐ŸŒ๐Ÿ“šโœ๏ธโœจ

Academic Training and Certifications

Dr.ย MBOHOU Sylvain earned a Ph.D. in African History and International Relations from the University of Dschang, Cameroon, in 2021, graduating with the distinction “Very Honorable.” Prior to this, he completed a Master II in History of International Relations (2010-2012) and a Master I in the same field (2009-2010) at the same university. His academic journey began with a Bachelor’s Degree in History of International Relations, focusing on Political Science (2008-2009). He also obtained a Baccalaureate A4 in Spanish at the Government Classical High School of Malantouen in 2006. ๐Ÿ“š๐ŸŒ๐ŸŽ“

Awards

In 2024, I received a grant from the University of Virginiaโ€™s Center for Global Inquiry and Innovation (CGII). In 2023, I was awarded the Scientific Mobility Grant for the International Conference on โ€œSlavery and Post-Slavery in Modern African Historyโ€ and a scholarship from FAPEMA in collaboration with UEMA, Brazil. Additionally, I received an international scientific mobility grant from the Fondation pour la Mรฉmoire de lโ€™Esclavage (FME) and was a finalist for their best thesis competition on slavery. I also look forward to the Sue Peabody Award to support my attendance at the FCHS annual meeting. ๐ŸŒ๐Ÿ“šโœจ

Research focus

Sylvain Mbohou’s research focuses on the historical dynamics of slavery and post-slavery societies, particularly the experiences of enslaved children in the Bamum Kingdom of West Cameroon. His work explores the intersections of vulnerability, dependence, and social structures within these contexts. Through a detailed examination of the Bamum’s involvement in transatlantic and Arab-Muslim slave trades, Mbohou provides insights into the socio-cultural impacts on enslaved communities. His studies contribute to a deeper understanding of historical injustices and their lasting effects on contemporary societies. ๐Ÿ“œ๐Ÿ”๐Ÿ‘ถ๐Ÿฝโœจ

Publication top notes

Vulnerability and Dependence in Slavery and Post-Slavery Societies: A Historicisation of the Enslaved Children (<i>Pon Pekpen)</i> from the Bamum Kingdom West Cameroon)

 

Weichao Wang | Environmental Science | Best Researcher Award

Weichao Wang | Environmental Science | Best Researcher Award

Mr Weichao Wang, Southwest Forestry University, China

Weichao Wang is a dedicated researcher at Southwest Forestry University, with a focus on ecological studies and environmental science. ๐ŸŒฟ He is a key participant in multiple significant projects, including the National Natural Science Foundation of China-funded research on microalgae diversity and wetland meadow plant stability. ๐Ÿงช He has contributed to notable publications, such as studies on alpine vegetation responses and Orchidaceae diversity in Yunnan. ๐ŸŒธ Weichao has been honored with the Second Place Graduate Student Academic Scholarship for two consecutive years (2022-2023, 2023-2024). ๐Ÿ† His work significantly advances our understanding of ecological stoichiometry and environmental heterogeneity. ๐ŸŒ๐Ÿ“š

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Education

I earned the Second Place Graduate Student Academic Scholarship at Southwest Forestry University for both the 2022-2023 and 2023-2024 academic years ๐Ÿ“š๐Ÿฅˆ. My research includes projects on chemosensory effects of alpine meadow plants, environmental heterogeneity’s impact on microalgae, trampling disturbances on wetland meadow plants, and ecological stoichiometry of coffee leaves and soils in Yunnan Province. Notable publications feature studies on alpine vegetation responses, orchid diversity, and water quality in Dianchi Wetland Park ๐ŸŒฟ๐ŸŒธ๐Ÿ’ง.

Experience

I earned the Second Place Graduate Student Academic Scholarship at Southwest Forestry University for both the 2022-2023 and 2023-2024 academic years ๐Ÿ“š๐Ÿฅˆ. My research includes projects on chemosensory effects of alpine meadow plants, environmental heterogeneity’s impact on microalgae, trampling disturbances on wetland meadow plants, and ecological stoichiometry of coffee leaves and soils in Yunnan Province. Notable publications feature studies on alpine vegetation responses, orchid diversity, and water quality in Dianchi Wetland Park ๐ŸŒฟ๐ŸŒธ๐Ÿ’ง.

Awards

๐ŸŽ“ In November 2022, the user earned the Second Place Graduate Student Academic Scholarship at Southwest Forestry University for the 2022-2023 academic year, recognizing their academic excellence and dedication. ๐Ÿ“šโœจ Their commitment to scholarly pursuits was further acknowledged in November 2023, when they received the same prestigious scholarship for the 2023-2024 academic year. ๐ŸŽ‰๐Ÿ† These accolades highlight their consistent performance and determination in their academic journey, showcasing their capability and promise as a graduate student at Southwest Forestry University. ๐ŸŒŸ๐Ÿ”

Research focus

Weichao Wang’s research focuses on the ecological dynamics of alpine vegetation, specifically investigating how different species impact ecosystem responses. Their work, highlighted in the study “Short-Term Responses of Alpine Vegetation to the Removal of Dominant Versus Sparse Species,” explores the effects of removing dominant and sparse species on plant communities. This research is crucial for understanding biodiversity conservation, ecosystem stability, and the impacts of climate change on fragile alpine environments. ๐ŸŒฟ๐Ÿ—ป๐Ÿ”ฌ๐Ÿ“Š

Publication top notes

Short-Term Responses of Alpine Vegetation to the Removal of Dominant Versus Sparse Species

Ioannis Chatzilygeroudis | Computer Science and Artificial Intelligence | Best Researcher Award

Ioannis Chatzilygeroudis | Computer Science and Artificial Intelligence | Best Researcher Award

Prof Ioannis Chatzilygeroudis, University of Patras, Greece

Prof. Emeritus at the University of Patras, Greece, with a rich educational background in Mechanical and Electrical Engineering (NTUA), Theology (University of Athens), MSc in Information Technology, and a PhD in Artificial Intelligence (University of Nottingham). Fluent in Greek and English, he specializes in AI, KR&R, knowledge-based systems, theorem proving, intelligent tutoring, e-learning, machine learning, natural language generation, sentiment analysis, semantic web, and educational robotics. His prolific research includes a PhD thesis, 18 edited volumes, 21 book chapters, 46 journal papers, 115 conference papers, 8 national conference papers, and 14 workshop papers. ๐Ÿ“š๐Ÿค–๐Ÿ’ป๐ŸŒ

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Education

๐Ÿ“š From September 1968 to June 1974, completed secondary education, earning a Certificate of High School Graduation in Science. ๐ŸŽ“ Pursued a Diploma in Mechanical and Electrical Engineering with a specialization in Electronics at the National Technical University of Athens from October 1974 to July 1979. ๐Ÿ“œ From February to June 1983, obtained a Certificate of Educational Studies from PATES of SELETE, Greece. ๐Ÿ“– Achieved a Bachelor in Theology from the University of Athens, completed between October 1979 and December 1987. ๐ŸŽ“ Earned an MSc in Information Technology from the University of Nottingham in 1989, followed by a PhD in Artificial Intelligence from the same university in 1992. ๐Ÿง  Thesis: “Integrating Logic and Objects for Knowledge Representation and Reasoning.”

Experience

๐Ÿ“˜ From Feb. 1982 to June 1982, I served as a part-time lab professor at PALMER Higher School of Electronics in Greece, teaching Electronics Lab. My full-time teaching journey began at TEI of Athens (1982-84), where I covered courses like Electrotechnics and Circuit Theory. My secondary education tenure (1984-92) focused on electrical engineering subjects. I then transitioned to higher education, teaching at TEI of Kozani and Chalkida, and later at the University of Nottingham (1990-92). From 1995-2006, I was a senior researcher and lecturer at the University of Patras, ultimately becoming a professor (2009-2023). Now, I am a Professor Emeritus. ๐ŸŽ“๐Ÿ”ฌ

Projects

From June 1993 to November 1995, I managed the CTI team for the DELTA-CIME project, developing a knowledge-based production control system. I led several initiatives, including the MEDFORM project for multimedia education and the national project for educational software in chemistry. As a senior researcher, I contributed to intelligent systems for tele-education and hybrid knowledge representation. I led multiple European projects like MENUET, AVARES, and TESLA, focusing on innovative education through virtual reality. My work aims to enhance learning experiences across disciplines, involving collaboration with various international partners. ๐ŸŒ๐Ÿ“š๐Ÿ’ป๐ŸŽ“

Research focus

Ioannis Hatzilygeroudis specializes in artificial intelligence and its applications in various domains, particularly in agriculture and healthcare. His research includes intelligent systems for diagnosing farmed fish diseases, employing deep learning techniques for image analysis, and exploring natural language processing methods. He has contributed significantly to the development of expert systems and reinforcement learning approaches to improve disease prediction in aquaculture. Additionally, his work in sentiment analysis and e-learning demonstrates a commitment to advancing educational technologies and user experience. Hatzilygeroudis’s interdisciplinary approach combines computer science with practical applications, making significant strides in health and environmental management. ๐ŸŒฑ๐ŸŸ๐Ÿ’ป๐Ÿ“Š

Publication focus

Using Level-Based Multiple Reasoning in a Web-Based Intelligent System for the Diagnosis of Farmed Fish Diseases

An Integrated GIS-Based Reinforcement Learning Approach for Efficient Prediction of Disease Transmission in Aquaculture

Speech Emotion Recognition Using Convolutional Neural Networks with Attention Mechanism

Expert Systems for Farmed Fish Disease Diagnosis: An Overview and a Proposal

Expert Systems for Farmed Fish Disease Diagnosis: An Overview and a Proposal

A Convolutional Autoencoder Approach for Boosting the Specificity of Retinal Blood Vessels Segmentation

Evaluating Deep Learning Techniques for Natural Language Inference

Faroque Ahmed | Quantitative Hypotheses | Best Researcher Award

Faroque Ahmed | Quantitative Hypotheses | Best Researcher Award

Mr Faroque Ahmed, Ural Federal University, Russia, Russia

Faroque Ahmed is a PhD researcher at Ural Federal University, Russia ๐Ÿ‡ท๐Ÿ‡บ, specializing in development studies and financial economics ๐Ÿ“Š. He holds an M.Sc. and B.Sc. in Statistics from Islamic University, Kushtia-Jhinaidah, where he achieved top positions in his class ๐Ÿฅ‡. With research interests in quantile-based methods, VARs, data mining, and machine learning ๐Ÿค–, he has served as a Senior Research Associate at the Bangladesh Institute of Governance and Management (BIGM) and as a Research Assistant at the Islamic University, working on credit card fraud detection. Faroque also boasts excellent academic achievements and IELTS proficiency ๐Ÿ…๐Ÿ“š.

Publication profile

Scopus

Education

๐Ÿ“š With a strong academic background, I hold a Master’s in Statistics from Islamic University, Kushtia-Jhinaidah, completed in 2015 with an ‘A’ grade and a CGPA of 3.91, securing first-class first position ๐Ÿฅ‡. My Bachelor’s in Statistics from the same university, completed in 2014, earned me an ‘A’ grade and a CGPA of 3.84, ranking second in first class ๐Ÿฅˆ. Prior to this, I excelled in Science, achieving a perfect GPA of 5.00 in both my Higher Secondary (2009) and Secondary (2006) School Certificates at New Govt. Degree College and Masjid Mission Academy, respectively ๐ŸŒŸ.

Experience

Since 2022, the user has been a PhD Researcher at the Laboratory of International & Regional Economics (LIRE) at the Graduate School of Economics and Management (GSEM), Ural Federal University, Yekaterinburg, Russia ๐Ÿ“š๐ŸŒ. Concurrently, they have served as a Senior Research Associate at the Bangladesh Institute of Governance and Management (BIGM), affiliated with the University of Dhaka, since 2019 ๐Ÿข๐Ÿ‡ง๐Ÿ‡ฉ. Previously, from 2016 to 2019, they worked as a Research Assistant at the Quantitative Financial Economic Development (QFED) Lab in the Dept. of Statistics at Islamic University, Kushtia, Bangladesh, focusing on credit card fraud detection using machine-learning algorithms under the supervision of Md. Altaf Hossain ๐Ÿ’ณ๐Ÿค–.

Research Interest

I am passionate about the fields of development studies and financial economics, focusing on advanced methodologies and data analysis. My expertise includes quantile-based methods, various types of VARs, and data mining techniques. I am proficient in leveraging machine learning and big data analysis for robust econometric modeling. Through these skills, I aim to contribute to the understanding and development of economic policies and practices. ๐Ÿ“Š๐Ÿ’ก๐Ÿ”๐Ÿ“‰๐Ÿ’ป๐Ÿ”Ž

Awards

In 2017-18, I was awarded the UGC research grant for my masterโ€™s project on the socio-economic effects of remittance on Bangladeshi migrant households. Under the supervision of Md. Altaf Hossain, an Associate Professor at Islamic University, Kushtia, Bangladesh, I conducted extensive research in this area. Additionally, in 2017, I completed Big Data Analytics Training through the LICT project of the ICT Ministry, People’s Republic of Bangladesh. ๐Ÿ“š๐Ÿ”๐Ÿ’ผ The grant and training significantly enhanced my research capabilities and data analysis skills, contributing to my academic and professional growth. ๐Ÿ“ˆ๐ŸŒ

Research focus

Faheem Ahmed’s research primarily focuses on the intersection of economics, environmental studies, and technological applications. His work includes examining the impact of geopolitical risks on global finance, analyzing the economic growth-environment nexus, and exploring the implications of AI technology on industrial outputs and energy consumption. Additionally, Ahmed delves into health outcomes influenced by governance and education, social distancing behaviors during Covid-19, and predictive modeling for air quality and credit card fraud detection. His interdisciplinary approach combines machine learning with economic and environmental analysis, reflecting a broad interest in sustainable development and risk management. ๐ŸŒ๐Ÿ“Š๐Ÿ’ก๐ŸŒฑ๐Ÿ“‰๐Ÿ”.

Publication top notes

Robot race in geopolitically risky environment: Exploring the Nexus between AI-powered tech industrial outputs and energy consumption in Singapore

Semi-Supervised Machine Learning Method for Predicting Observed Individual Risk Preference Using Gallup Data

Assessing the impact of Russianโ€“Ukrainian geopolitical risks on global green finance: a quantile dependency analysis

An inquiry into the achievements in health outcomes of Bangladesh: role of health expenditure, income, governance and female education

Integration of theory of planned behavior into actual social distancing behavior amid Covid-19

Economic growth and environmental pollution nexus in Ba

An analysis of energy, environment and economic growth (EEE) nexus: a 2SLS approach

Creative social media use for Covid-19 prevention in Bangladesh: a structural equation modeling approach

A comparative study of credit card fraud detection using the combinati

Predicting air quality of Dhaka and Sylhet divisions in Bangladesh: a time series modeling approach

 

Hala Eltag Sirror | Energy and Sustainability | Best Researcher Award

Hala Eltag Sirror | Energy and Sustainability | Best Researcher Award

Dr Hala Eltag Sirror, Prince Sultan University, Saudi Arabia

Dr. Hala Eltag Sirror is an esteemed architect and educator with a Ph.D. in Architecture from the University of Khartoum (2014). Currently an Assistant Professor at Prince Sultan University, she has held various academic roles in Sudan. Her research focuses on sustainable architecture and construction management. Dr. Sirror has earned accolades like the Best Paper Award (2022) and is a USGBC Faculty member and LEED AP BD+C. She is fluent in English and Arabic, and actively contributes to academic and professional communities. ๐ŸŒ๐Ÿข๐Ÿ“š๐Ÿ”ฌ

Publication profile

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Education

Dr. Hala Eltag Sirror holds a Ph.D. in Architecture, Construction Management (2014) from the University of Khartoum, Sudan, with a thesis on โ€œThe Adoption of Performance Improving Management Concepts and Techniques in the Sudanese Construction Industryโ€ and an external examiner from University College London. They earned an M.Sc. in Environmental Studies (2002) with a thesis assessing the environmental impact of small-scale building materials production in Sudan. Their academic journey began with a B.Sc. in Architecture (1996), focusing on a “City of Culture” project. They excelled in their GCSE from the University of London, ranking 3rd in their school with 5 As. ๐ŸŽ“๐Ÿ—๏ธ๐ŸŒ๐Ÿ“š๐ŸŒŸ

Administrative Record

With a distinguished career in architectural engineering, this professional served as the Associate Chair (2020-2021) and Program Coordinator (2019-2020) of the Architectural Engineering Program at Prince Sultan University in Riyadh, Saudi Arabia ๐Ÿข๐ŸŒŸ. Previously, they chaired the Architecture Department at the National Ribat University in Sudan in 2015 ๐Ÿ›๏ธ. They coordinated the Master Program in Project Management at the University of Sudan for Science and Technology (2009-2010) ๐ŸŽ“. From 2003 to 2015, they supervised graduate student projects and served as the Design Studio Coordinator at the same university ๐ŸŽจ๐Ÿ“. Their leadership and dedication have greatly influenced the field of architectural education ๐Ÿ†๐Ÿ“š.

Designated as USGBC Faculty in 2023, a global network of credible, qualified instructors with deep expertise in sustainability ๐ŸŒ. Recipient of the Best Paper Award at the ICSDI 2022 at Prince Sultan University ๐Ÿ“œ. Achieved Third Place in the Poster Competition at WiDS 2021 at Prince Sultan University ๐Ÿฅ‰. Honored with the Best Academic Performance Award in 2002 from the Institute of Environmental Science, University of Khartoum ๐ŸŒฟ. Part of the design team that won Second Place in an international design competition for Sudan Airways headquarters in 1998 โœˆ๏ธ. Senior Fellow of the Higher Education Academy in 2020 ๐ŸŽ“. Completed the Higher Education Teaching and Learning Certificate Program at PSU in 2018 ๐Ÿ“š. LEED Accredited Professional in Building Design and Construction since 2017 ๐Ÿข.

 

Research focus

Hala Sirror’s research primarily focuses on sustainable architecture, environmental identity, and urban balance in Islamic and heritage buildings. Her studies include analyzing sustainable strategies in Al-Ula Heritage Village ๐ŸŒฟ๐Ÿ›๏ธ, preserving environmental identity in Islamic residential buildings in the Hejaz region ๐Ÿก๐ŸŒฑ, and the significance of internal courtyards in mosque design ๐Ÿ•Œ. She also explores indoor environmental quality’s impact on productivity ๐Ÿ“š๐Ÿข, market transformation towards sustainability in Saudi Arabia ๐ŸŒโœ…, and virtual reality in architecture education ๐ŸŽ“๐ŸŒ. Her work often integrates climatic treatments for hot areas ๐ŸŒž and employs gravitational law to assess urban balance ๐Ÿ“๐Ÿ™๏ธ.

Publication top notes

Sustainability in the Workplace: Evaluating Indoor Environmental Quality of a Higher Education Building in Riyadh

Lessons Learned from the Past: Tracing Sustainable Strategies in the Architecture of Al-Ula Heritage Village

PRESERVING AND SUSTAINING THE ENVIRONMENTAL IDENTITY OF ISLAMIC RESIDENTIAL BUILDINGS IN THE HEJAZ REGION IN KSA

Demographic Analysis of the Makkah Province for the Purpose of Evaluating the Balance of the Urban System

Effect of Indoor Environmental Quality on Work Productivity in Educational Buildings: A Review.

Market Transformation Towards Sustainability in Saudi Arabia: A Comparison Between Mostadam And LEED Rating Systems

The use of Gravitational Law to assess urban balance: the case of Makkah region in Saudi Arabia

Mรกrio Ferreira | Cognitive Science | Best Researcher Award

Mรกrio Ferreira | Cognitive Science | Best Researcher Award

Prof Dr Mรกrio Ferreira, University of Lisbon, Portugal

Dr. Mรกrio Ferreira, a distinguished psychologist, holds a PhD in Social Psychology from the University of Lisbon and a habilitation in Psychology from the same institution. With extensive academic tenure at the University of Lisbon, he has served as Associate Professor and Director of the Experimental Psychology Laboratory. Dr. Ferreira’s research focuses on social cognition, heuristics, and consumer behavior, securing multiple grants including from the Portuguese Foundation for Science and Technology. He has led significant projects like “Fighting over-indebtedness” and contributed to international collaborations at institutions like Indiana University. Passionate about cognitive processes, he integrates AI algorithms in studying indebtedness, enriching psychological science. ๐Ÿง ๐Ÿ”ฌ

Publication profile

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Education

Dr. Mรกrio Ferreira has built an illustrious academic career in psychology, culminating in a 2020 Habilitation from the University of Lisbon. With a PhD in Social Psychology and a Master’s in Cognitive Psychology from the same institution, their journey began with a BA in 1991. They pursued further studies, including postgraduate work in Applied Psychology with Computation at University College of North Wales. Their teaching roles at Lisbon spanned from Teaching Assistant to Associate Professor, interspersed with prestigious visiting scholar positions at Heidelberg and Indiana University. Their lecture on decision-making processes underscores their expertise. ๐ŸŽ“๐Ÿ“˜

Research grants

From 2012 to 2023, Dr. [Name]’s research spans diverse projects funded by the Portuguese Foundation for Science and Technology (FCT) and other institutions. As Principal Investigator, their work included projects like “Fighting over-indebtedness” (2016-2020) and “Data Science and Over-Indebtedness” (2020-2023), exploring AI algorithms in credit consumption. They also contributed to studies on cognitive processes and heuristics’ impact, examining trait inferences and judgments’ neural underpinnings. As a member of research teams, they collaborated on projects such as evaluating COVID-19 resilience strategies. Their interdisciplinary approach bridges psychology and data science, aiming to understand complex societal issues. ๐ŸŒ๐Ÿ’ก

Awards

Dr. Mรกrio Ferreira, a distinguished researcher, has garnered numerous accolades throughout their career. Their journey includes prestigious awards such as the 2023 Research Award from the University of Lisbon (honorable mention) and the 2022 Best Paper Award from APPE (Associaรงรฃo Portuguesa de Psicologia Experimental). They have also been honored with a Humboldt Fellowship for Experienced Researchers (2014-2016), a Fulbright Fellowship (2010-2011), and a PhD Scholarship funded by FCT and the European Social Foundation (1999-2003). Earlier achievements include a University College of North Wales (UCNW) post-graduation Scholarship (1992-1993) and an ERASMUS Scholarship (1989-1990). ๐Ÿ† Their commitment to excellence in research is reflected in their diverse international recognitions and contributions.

Research focus

Based on the research publications of Mรกrio B. Ferreira, his focus revolves around cognitive psychology, decision-making processes, and behavioral economics. His work explores topics such as motivated reasoning, heuristic and analytic processes in decision-making, and the impact of construal level on reasoning biases. Ferreira’s studies also delve into memory illusions, trait transference, and strategic reasoning in various contexts. Through his research, he aims to understand how cognitive mechanisms influence consumer behavior, decision outcomes, and judgments related to financial decision-making and indebtedness.

Publication top notes

When Cognitive Reflection Leads to Less Overall but More Systematic Judgment Bias: The Case of the Base Rates Fallacy

Anchoring in a Social Context: How the Possibility of Being Misinformed by Others Impacts One’s Judgment

Steven Goodman | Biology and Life Sciences | Best Researcher Award

Steven Goodman | Biology and Life Sciences | Best Researcher Award

Prof Steven Goodman, Field Museum of Natural History, United States

Dr. Steven Goodman is a distinguished conservation biologist recognized for his groundbreaking work in biodiversity. He has received numerous awards, including the Biodiversity Leadership Award (2004) and the Aldo Leopold Conservation Award (2018) ๐Ÿ†. His research and fieldwork, funded by prestigious grants from organizations like the American Museum of Natural History and National Geographic Society, have significantly contributed to the understanding and conservation of avifauna and ecosystems in Egypt and beyond ๐ŸŒ. An Honorary Fellow of the Association for Tropical Biology and Conservation (2019), Dr. Goodman continues to inspire with his dedication to preserving natural heritage ๐ŸŒฟ๐Ÿฆœ.

Publication profile

google scholar

Education

๐Ÿ“š With a rich academic journey, this scholar began their educational pursuit at the University of Michigan, USA, where they earned a B.S. ๐ŸŽ“ They continued their studies at the University of Hamburg, Germany, achieving a Ph.D. ๐Ÿฅผ Furthering their expertise, they completed an HDR at the University of Orsay, France ๐ŸŒ, and were honored with a Docteur Honoris Causa from the University of Antananarivo, Madagascar. ๐ŸŒŸ This distinguished academic path highlights their dedication and significant contributions to their field.

Awards

๐ŸŒฟ Renowned for his contributions to biodiversity, he received the Biodiversity Leadership Award from the Bay and Paul Foundation and the Conservation Leadership Award from WWF in 2004. In 2005, he was named a MacArthur Foundation Fellow. His excellence continued with an Alexander von Humboldt Foundation Fellowship in 2013 and the Aldo Leopold Conservation Award from the American Society of Mammalogists in 2018. Honored as an Honorary Fellow by the Association for Tropical Biology and Conservation in 2019, he recently earned the Certificat de reconnaissance, champion de la Biodiversitรฉ, from Madagascar’s Ministre de lโ€™Environnement et du Dรฉveloppement Durable in 2024. ๐ŸŒโœจ

Research focus

The research focus of SM Goodman encompasses a wide range of ecological and evolutionary studies, primarily centered on Madagascar. Goodman’s work includes biodiversity conservation in tropical forests ๐ŸŒณ, ecological niche modeling ๐Ÿ“Š, and the biogeographic evolution of Madagascar’s unique fauna ๐ŸฆŽ. Additionally, Goodman has contributed significantly to understanding species diversity and endemism on the island, including extensive studies on lemurs ๐Ÿ’ and carnivores ๐Ÿ†. His research also explores human impacts on ecosystems and the evolutionary history of various species, highlighting the importance of conservation efforts in maintaining biodiversity ๐ŸŒ. Overall, Goodman’s work aims to protect and preserve Madagascar’s rich natural heritage.

Publication top notes

Averting biodiversity collapse in tropical forest protected areas

Spatial filtering to reduce sampling bias can improve the performance of ecological niche models

A chronology for late prehistoric Madagascar

The natural history of Madagascar

Biogeographic evolution of Madagascar’s microendemic biota

Updated estimates of biotic diversity and endemism for Madagascar

Single origin of Malagasy Carnivora from an African ancestor

The birds of Egypt

Patterns of species change in anthropogenically disturbed forests of Madagascar

Taxonomic revision of mouse lemurs (Microcebus) in the western portions of Madagascar

A review of predation on lemurs: implications for the evolution of social behavior in small, nocturnal primates