Marc-Andreas Muendler | Social Sciences | Best Researcher Award

Published on 20/07/202420/07/2024 by Research Hypothesis

Marc-Andreas Muendler | Social Sciences | Best Researcher Award

Prof Marc-Andreas Muendler, University of California, San Diego, United States

Prof. Marc-Andreas Muendler is a distinguished professor at the University of California, San Diego, specializing in economics since July 2017 and serving as the Department Chair since July 2023. He is the founding director of the Globalization and Prosperity Lab (GP-lab). With extensive affiliations, he is a research professor at the ifo Institute, a research associate at NBER, and a research fellow at CESifo. His work focuses on international trade, economic growth, and labor economics. His research has been published in top-tier journals, highlighting his influential contributions to the field 🌍📚👨‍🏫.

Publication profile

Scopus

Education

🎓 Ph.D. in Economics from the University of California, Berkeley, with a dissertation titled “Essays on International Trade, Growth, and Finance” (May 2002). 📚 Spent 2000-01 as a visiting doctoral student at Pontifícia Universidade Católica in Rio de Janeiro, Brazil. 🌍 Holds a Diplom-Volkswirt in Economics from Ludwig Maximilian University Munich, with a thesis on “The Impact of Government on Family Planning” (May 1998). 🎓 Earned an M.A. in Economics from Boston University (September 1997) and a Baccalaureat in Economics from Ludwig Maximilian University Munich (September 1996). 🌟

awards

Marc-Andreas Muendler is a distinguished Revelle College Faculty Fellow at UC San Diego (2023-2024). He has collaborated with Reto Follmi and Hartmut Egger on projects funded by SNF and DFG (2021-2024). Muendler’s article on offshoring was among the top five most cited in the Journal of International Economics (2014-2016). He has co-investigated research for CEPR, PEDL, and Weiss Family Program Fund. He received numerous grants from NSF and the World Bank. Muendler’s work earned him the UCSD Faculty Teaching Award (2013-14) and the Journal of Development Economics Prize (2001). 🏆📊🌍

Research focus

Dr. Marc-Andreas Muendler’s research focuses on international trade and its economic impacts. His work explores firm-level export behaviors, market learning in employee spinoffs, and the relationship between trade and inequality. His studies often analyze data from various countries, examining how trade policies influence labor markets, wage inequality, and the allocation of tasks and skills both onshore and offshore. Key themes in his research include export dynamics, firm productivity, and multinational labor substitution. Dr. Muendler’s comprehensive approach bridges theoretical models with empirical evidence to better understand global economic patterns and their implications. 🌍📈💼👩‍🔬

Publication top notes

Do employee spinoffs learn markets from their parents? Evidence from international trade

Trade and inequality: From theory to estimation

Trade and tasks: An exploration over three decades in Germany

Export or merge? Proximity vs. concentration in product space

Exporters and their products: A collection of empirical regularities

Sources of wage inequality

Offshoring and the onshore composition of tasks and skills

Employee spinoffs and other entrants: Stylized facts from Brazil

Margins of multinational labor substitution

Kareem Abdul Waheed | Business Hypotheses | Excellence in Research Award

Published on 19/07/202419/07/2024 by Research Hypothesis

Kareem Abdul Waheed | Business Hypotheses | Excellence in Research Award

Prof Dr Kareem Abdul Waheed, Shiv Nadar Institution of Eminence Deemed to be University, Greater Noida, India

Prof. Dr. Kareem Abdul Waheed is a distinguished marketing expert with a Ph.D. from IIT Bombay (2003). He currently serves as a Professor of Marketing at Shiv Nadar Institution of Eminence, India. His prolific career includes roles at IMT Dubai, where he was Professor, Dean-Academics, and Associate Dean. Dr. Waheed has published 40 Scopus-indexed papers, focusing on marketing, e-waste recycling, and mindfulness in business education. His research is widely recognized, with publications in high-ranking journals. 🌟📊🌍

Publication profile

google scholar

Education

With a Ph.D. in Marketing from the Indian Institute of Technology Bombay (2003) 🎓, the individual boasts a strong academic background. They earned an M.B.M. in Business Management from Tamil Nadu Agricultural University, Coimbatore in 1997 📘, following a B.Sc. in Agriculture from AC & RI, Madurai, under the same university in 1995 🌾. Their educational journey reflects a robust foundation in both business and agriculture, paving the way for a diverse and interdisciplinary career path.

Experience

Dr. Kareem Abdul Waheed is a distinguished academic in entrepreneurship and marketing at Shiv Nadar Institution of Eminence, India, since November 2022. Previously, he served as a professor at IMT Dubai, UAE, from 2014 to 2022, holding roles like Dean-Academics and Chairperson for various departments. He was an Associate Dean at IMT Dubai from 2006 to 2012. His earlier roles include Assistant Professor at Sardar Vallabhbhai Patel Institute of Textile Management, Lecturer at BITS Pilani, and Teaching Assistant at IIT Bombay. He began his career as an Assistant Manager at Rasi Seeds. 🌟📚🌍

Awards

Recognized for exceptional academic contributions, [Name] was awarded the Outstanding Reviewer – 2022 accolade by Knowledge Management Research & Practice, an ABDC A category journal. From July 2000 to March 2003, they received the prestigious Institute Teaching Assistantship from IIT Bombay. Their academic journey was supported by the Tamil Nadu Agri Merit Scholarship from the Government of Tamil Nadu (1995-1997) and the National Merit Scholarship from the Government of India (1988-1994), highlighting their outstanding merit and dedication throughout their educational career. 🌟📚🏅

Research focus

Based on the publications listed, the research focus of the individual seems to center around supply chain management, trust-building in business relationships, and leadership impact. They have explored topics like the trust-building processes in supply chains, the influence of transformational leadership on team performance, and factors affecting customer trust and loyalty. Additionally, they have investigated cultural intelligence, customer behavior, and organizational performance in various contexts, including the UAE and India. Their work emphasizes the integration of trust, leadership, and cultural factors in enhancing business and organizational effectiveness. 🌐🔍📈

Publication top notes

Measuring trust in supply chain partners’ relationships

Trust building in supply chain partners relationship: an integrated conceptual model

Impact of transformational leadership on team performance: an empirical study in UAE

Supply chain partners’ trust building process through risk evaluation: the perspectives of UAE packaged food industry

Prescription loyalty behavior of physicians: an empirical study in India

Teaching cross-cultural management: A flipped classroom approach using films

Impact of cultural intelligence on SME performance: The mediating effect of entrepreneurial orientation

An empirical investigation of customer dependence in interpersonal buyer‐seller relationships

The determinants of customer trust in buyer–seller relationships: An empirical investigation in rural India

Diversity climate perceptions and its impact on multicultural team innovation and performance

Yiming Xu | Tech Innovations | Best Researcher Award

Published on 19/07/202419/07/2024 by Research Hypothesis

Yiming Xu | Tech Innovations | Best Researcher Award

Mr Yiming Xu, Cranfield University, United Kingdom

Yiming Xu is a Ph.D. candidate in Energy at Cranfield University (2020-2024) with a focus on AI for energy flexibility and decarbonisation. He holds an MSc in Advanced Mechanical Engineering from Cranfield University and a BEng in Mechanical Engineering from Nanjing University of Aeronautics and Astronautics. Yiming has contributed to Innovate UK projects, presented at conferences such as ICAE and ISGT, and published papers on energy trading. He has interned at DJI Technology Co., Ltd, and holds patents in finger flexibility devices and mountain-climbing aids. Proficient in Python, C++, and data visualization, he is also an amateur Muay Thai fighter. 🧠🔋🤖📚🥊

Publication profile

Orcid

Education

With a PhD in Energy from Cranfield University (2020-2024) 🎓, He focused on AI for energy flexibility modelling and decarbonisation 🌱, vehicle-to-vehicle energy trading, and EV owner behaviour analysis 🚗. He presented at ICAE, ISGT, ICPADS, and other seminars 🎤. My MSc in Advanced Mechanical Engineering (2019-2020) included a thesis on peer-to-peer energy trading for EVs ⚡ and courses like CFD and risk engineering 📚. During an AI exchange at Imperial College London (2018), I designed computer vision algorithms for a robotic arm 🤖. My BEng from Nanjing University (2015-2019) involved a thesis on 3D printing and courses in mechanics and materials 🛠️.

Experience

During my internship at DJI Technology Co., Ltd in Shenzhen, China, from June to August 2018, I participated in the global young engineer competition ROBOMASTER, working with a team that included top universities from China and overseas. I served as venue maintenance personnel in the ROBOMASTER machinery group, responsible for debugging mechanical organs and sensors, and maintaining the visual recognition module of the referee system. I inspected and maintained over 50 units of equipment, resolving issues more than 10 times, ensuring the smooth operation of the event. 🌍🤖🔧👨‍🔧📷✅

Research Projects

As a Research Assistant on three Innovate UK projects, I optimized energy flow management in urban EV charging with Lesla Ltd (Aug 2023 – Jan 2024), designing AI models to schedule charging behavior and forecast energy demand 📈🔋. I established a smart home EV charger system for Entrust Smart Home Ltd (Jan 2021 – Mar 2021), focusing on app design and peer-to-peer energy trading 📱🏠. Additionally, I worked with SNRG Ltd and Electric Corby CIC (Oct 2020 – Mar 2021) on advanced grid services, analyzing driving behavior data and designing trading algorithms 🚗💡. All projects met quality standards and were successfully delivered ✅.

Research focus

Yiming Xu’s research primarily focuses on vehicle-to-vehicle (V2V) energy trading, particularly through innovative auction models and flexible trading platforms. His work explores sustainable energy solutions, fraud prevention, and efficient market mechanisms in V2V energy exchanges. Xu’s studies integrate advanced technologies like the K-factor approach and double auction systems to enhance energy trading efficiency and security. His research contributions are significant in the fields of smart grids, green computing, and sustainable energy, aiming to develop robust frameworks for future energy systems. 🌍🔋🚗💡📉🔒

Publication top notes

Vehicle-to-Vehicle Energy Trading Framework: A Systematic Literature Review

An Anti-fraud Double Auction Model in Vehicle-to-Vehicle Energy Trading with the K-factor Approach

A Vehicle-to-vehicle Energy Trading Platform Using Double Auction With High Flexibility

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

Published on 16/07/202416/07/2024 by Research Hypothesis

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. 🌐📦🔗📊🌿

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

Published on 15/07/202415/07/2024 by Research Hypothesis

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. 🔬🤖📚

Publication profile

Orcid

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. 🤖📊🔍

Publication top notes

Shannon Holes, Black Holes, and Knowledge: The Essential Tension for Autonomous Human–Machine Teams Facing Uncertainty

A Quantum-like Model of Interdependence for Embodied Human–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

Published on 15/07/202426/12/2024 by Research Hypothesis

Bahareh Abedin | Business Hypotheses | Best Researcher Award

Dr Bahareh Abedin, University of Mazandaran, Iran

🌟 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. 📈📚

Publication profile

google scholar

📚 Educational

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. 📊👨‍💼🌍✨

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 Purchasing‎ Behavior in Tehran

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

MBOHOU Sylvain | Social Sciences | Best Researcher Award

Published on 15/07/202415/07/2024 by Research Hypothesis

MBOHOU Sylvain | Social Sciences | Best Researcher Award

Dr MBOHOU Sylvain, Universidade Estadual do Maranhão, 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 Maranhão, 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. 🌟✍️

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 Maranhão, 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. 🌍📚✍️✨

Academic Training and Certifications

Dr. 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. 📚🌍🎓

Awards

In 2024, I received a grant from the University of Virginia’s Center for Global Inquiry and Innovation (CGII). In 2023, I was awarded the Scientific Mobility Grant for the International Conference on “Slavery and Post-Slavery in Modern African History” and a scholarship from FAPEMA in collaboration with UEMA, Brazil. Additionally, I received an international scientific mobility grant from the Fondation pour la Mémoire de l’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. 🌍📚✨

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. 📜🔍👶🏽✨

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

Published on 15/07/202415/07/2024 by Research Hypothesis

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. 🌿 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. 🧪 He has contributed to notable publications, such as studies on alpine vegetation responses and Orchidaceae diversity in Yunnan. 🌸 Weichao has been honored with the Second Place Graduate Student Academic Scholarship for two consecutive years (2022-2023, 2023-2024). 🏆 His work significantly advances our understanding of ecological stoichiometry and environmental heterogeneity. 🌏📚

Publication profile

Orcid

Education

I earned the Second Place Graduate Student Academic Scholarship at Southwest Forestry University for both the 2022-2023 and 2023-2024 academic years 📚🥈. 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 🌿🌸💧.

Experience

Awards

🎓 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. 📚✨ Their commitment to scholarly pursuits was further acknowledged in November 2023, when they received the same prestigious scholarship for the 2023-2024 academic year. 🎉🏆 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. 🌟🔍

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. 🌿🗻🔬📊

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

Published on 13/07/202413/07/2024 by Research Hypothesis

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. 📚🤖💻🌐

Publication profile

Orcid

Education

📚 From September 1968 to June 1974, completed secondary education, earning a Certificate of High School Graduation in Science. 🎓 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. 📜 From February to June 1983, obtained a Certificate of Educational Studies from PATES of SELETE, Greece. 📖 Achieved a Bachelor in Theology from the University of Athens, completed between October 1979 and December 1987. 🎓 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. 🧠 Thesis: “Integrating Logic and Objects for Knowledge Representation and Reasoning.”

Experience

📘 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. 🎓🔬

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. 🌍📚💻🎓

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. 🌱🐟💻📊

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

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

Evaluating Deep Learning Techniques for Natural Language Inference

A Brief Survey of Sim2Real Methods for Robot Learning

E-Learning Courses Evaluation on the Basis of Trainees’ Feedback on Open Questions Text Analysis

Deep Learning Methods for Accurate Skin Cancer Recognition and Mobile Application

Faroque Ahmed | Quantitative Hypotheses | Best Researcher Award

Published on 13/07/2024 by Research Hypothesis

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 🇷🇺, specializing in development studies and financial economics 📊. He holds an M.Sc. and B.Sc. in Statistics from Islamic University, Kushtia-Jhinaidah, where he achieved top positions in his class 🥇. With research interests in quantile-based methods, VARs, data mining, and machine learning 🤖, 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 🏅📚.

Publication profile

Scopus

Education

📚 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 🥇. 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 🥈. 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 🌟.

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 📚🌍. 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 🏢🇧🇩. 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 💳🤖.

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. 📊💡🔍📉💻🔎

Awards

In 2017-18, I was awarded the UGC research grant for my master’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. 📚🔍💼 The grant and training significantly enhanced my research capabilities and data analysis skills, contributing to my academic and professional growth. 📈🌏

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. 🌍📊💡🌱📉🔍.