Yangyang Huang | Object detection | Excellence in Innovation

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Dr. Yangyang Huang | Object detection | Excellence in Innovation

Yangyang Huang is a Ph.D. student at the School of Computer Science and Engineering, South China University of Technology (SCUT), Guangzhou, China. His research focuses on artificial intelligence, computer vision, and large models. He previously graduated from Wuhan University, where he developed a strong foundation in AI and computational sciences. Yangyang has contributed to significant research projects, including the Collaborative Innovation Major Project for Industry, University, and Research. His work, “LVMUM: Toward Open-World Object Detection with Large Vision Models and Unsupervised Modeling,” has gained notable citations. Passionate about AI advancements, he actively participates in academic collaborations and professional memberships, contributing to AI-driven innovations.

Profile

Education 🎓

Yangyang Huang completed his undergraduate studies at Wuhan University, where he gained expertise in artificial intelligence and computational sciences. Currently, he is pursuing his Ph.D. at the School of Computer Science and Engineering, South China University of Technology (SCUT), Guangzhou, China. His doctoral research focuses on large vision models, unsupervised modeling, and object detection. He has been involved in cutting-edge AI research, particularly in deep learning and computer vision. His academic journey has been marked by significant contributions to AI-driven innovations, leading to multiple publications in high-impact journals. Yangyang actively collaborates with researchers in academia and industry, further strengthening his expertise in AI and machine learning applications.

Experience 👨‍🏫

Yangyang Huang has extensive research experience in artificial intelligence, computer vision, and large models. As a Ph.D. student at SCUT, he has been involved in the Collaborative Innovation Major Project for Industry, University, and Research. His research contributions include developing large vision models for open-world object detection, leading to highly cited publications. Yangyang has also participated in consultancy and industry projects, applying AI techniques to real-world problems. He has authored several journal articles indexed in SCI and Scopus and has contributed to the academic community through editorial roles. His collaborative research efforts have led to impactful AI advancements, making him a rising scholar in the field of AI and machine learning.

Research Interests 🔬

Yangyang Huang’s research primarily focuses on artificial intelligence, computer vision, and large models. His recent work, “LVMUM: Toward Open-World Object Detection with Large Vision Models and Unsupervised Modeling,” explores novel AI techniques for enhancing object detection capabilities. He specializes in deep learning, unsupervised learning, and AI-driven automation. His research interests include developing robust AI models for real-world applications, advancing AI ethics, and improving AI interpretability. Yangyang actively collaborates with academia and industry to bridge the gap between theoretical AI research and practical applications. His contributions extend to consultancy projects, AI innovation, and scholarly publications, making him a key contributor to AI advancements. 🚀

Awards & Recognitions 🏅

Yangyang Huang has received recognition for his outstanding contributions to artificial intelligence and computer vision. His research on large vision models and open-world object detection has been widely cited, earning him academic recognition. He has been nominated for prestigious research awards, including Best Researcher Award and Excellence in Research. His work in AI has been acknowledged through various grants and funding for industry-academic collaborative projects. Yangyang’s active participation in international conferences has led to best paper nominations and accolades for his innovative contributions. He is a member of esteemed professional organizations, further cementing his reputation as an emerging AI researcher.

Publications 📚

Shenping Hu | Maritime Traffic | Best Researcher Award

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Prof. Shenping Hu | Maritime Traffic | Best Researcher Award 

Shenping Hu is a professor at Shanghai Maritime University, China, specializing in ship collision avoidance and vehicle operation engineering. He obtained his B.Sc. in Navigation Technology (1996), M.Sc. (2001), and Ph.D. (2010) in Vehicle Operation Engineering from Shanghai Maritime University. As a visiting scholar, he conducted research at Tokyo Merchant Marine University, Japan (2001), and the Australian Maritime College, Australia (2010). With a strong academic background, he has authored or co-authored over 200 journal articles. His research spans safety engineering, ship collision avoidance intelligence, and marine simulation. Prof. Hu’s contributions to maritime safety and intelligent navigation have significantly advanced the field. His expertise in marine simulation and safety engineering has led to impactful innovations in ship navigation.

Profile

Education 🎓

Shenping Hu earned his B.Sc. in Navigation Technology from Shanghai Maritime University in 1996, followed by an M.Sc. (2001) and Ph.D. (2010) in Vehicle Operation Engineering from the same institution. His academic journey also included research as a visiting scholar at Tokyo Merchant Marine University, Japan (2001), where he gained insights into advanced maritime technologies, and at the Australian Maritime College, Australia (2010), where he expanded his expertise in marine safety and ship operations. His Ph.D. research focused on optimizing vehicle operation engineering, particularly in the maritime sector. With a strong foundation in safety engineering and intelligent navigation, Prof. Hu has continuously contributed to maritime education and research. His multidisciplinary academic training has played a pivotal role in shaping his innovative approach to ship collision avoidance and marine simulation, making him a leader in the field of maritime safety and transportation research.

Experience 👨‍🏫

Shenping Hu has extensive teaching and research experience in vehicle operation engineering and maritime safety. Since earning his Ph.D., he has been a professor at Shanghai Maritime University, focusing on ship collision avoidance and intelligent navigation. His expertise has led him to collaborate with international institutions, including Tokyo Merchant Marine University, Japan (2001), and the Australian Maritime College, Australia (2010), where he conducted advanced research in maritime safety. Over the years, he has supervised numerous graduate students and led research projects aimed at enhancing ship collision avoidance through artificial intelligence and marine simulation. He has published over 200 journal articles, contributing significantly to the field. His work in safety engineering and intelligent navigation has influenced both academia and industry, improving maritime transportation systems. His dedication to research and education continues to drive advancements in ship safety, marine simulation, and vehicle operation engineering.

Research Interests 🔬

Shenping Hu’s research primarily revolves around vehicle operation engineering, ship collision avoidance intelligence, and marine simulation. He is deeply involved in developing intelligent navigation systems to enhance maritime safety. His work focuses on applying artificial intelligence, data-driven models, and decision-support systems to prevent ship collisions. He has explored optimization algorithms and real-time simulation techniques to improve navigation safety in congested waters. His research also includes advancements in safety engineering, investigating innovative ways to enhance risk assessment in maritime transport. His contributions extend to marine simulation, where he develops and refines training models for ship operators. His work integrates AI-driven predictive modeling to enhance operational efficiency in maritime navigation. By leveraging cutting-edge technologies, his research plays a critical role in improving global shipping safety, making significant strides in the development of intelligent, automated, and efficient maritime transportation systems.

Awards & Recognitions 🏅

Shenping Hu has received multiple awards and recognitions for his contributions to maritime safety and vehicle operation engineering. His groundbreaking research in ship collision avoidance and intelligent navigation has earned him prestigious academic accolades. He has been honored for his extensive publication record, with over 200 journal articles influencing the field. His work has been recognized by international maritime institutions, reflecting his impact on global maritime safety research. His visiting scholar positions at Tokyo Merchant Marine University (2001) and the Australian Maritime College (2010) were prestigious acknowledgments of his expertise. Throughout his career, he has received research grants and project funding, further solidifying his status as a leader in ship navigation technology. His dedication to marine simulation and safety engineering has earned him high regard within the maritime community, making him a key figure in advancing intelligent collision avoidance systems for modern maritime transportation.

Publications 📚

Changfan Pan | Causal Inference | Best Researcher Award

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Mr. Changfan Pan | Causal Inference | Best Researcher Award

Changfan Pan (born January 26, 1998) is a researcher specializing in causal inference, synthetic data generation, and federated learning, particularly in the education domain. He is currently pursuing a Master of Engineering in Computer Science at Zhejiang Normal University, China, where he is researching interpretable models and dataset generation methods. He previously earned a Bachelor’s degree in Telecommunication Engineering from Beijing University of Posts and Telecommunications. His work experience includes roles at Zhongxing Telecom Equipment, China Mobile Communications Group, and Ericsson, focusing on 5G networking, wireless network maintenance, and backend development. He has published in top conferences such as AAAI and IEEE ICDM. He has received numerous honors, including a Kaggle Bronze Medal and a First-Class Scholarship. His technical skills include Python, C++, Pytorch, and Docker, and he is proficient in Mandarin and English. 📚🔬💻

Profile

Education 🎓

Changfan Pan is currently pursuing an M.E. in Computer Science at Zhejiang Normal University (2022-2025) with a GPA of 3.70/5. His master’s thesis focuses on interpretable models and dataset generation based on causal inference under the supervision of Prof. Jia Zhu. He has completed coursework in Artificial Intelligence (91), Data Mining (88), and Advanced Database Technology (86). Previously, he earned a B.E. in Telecommunication Engineering from Beijing University of Posts and Telecommunications (2016-2020), graduating with a GPA of 84/100. His bachelor’s thesis explored viewpoint prediction algorithms in VR, supervised by Prof. Yitong Liu. His coursework included Probability Theory (92), Programming Practices (87), and Pattern Recognition (88). He has developed strong expertise in AI, data science, and federated learning, positioning him for impactful contributions to academia and industry. 🎓📊📡

Experience 👨‍🏫

Changfan Pan has extensive experience in telecommunications and AI research. He interned at Zhongxing Telecom Equipment (2019), setting up 5G signal transceivers and deploying co-located base stations. At China Mobile (2020-2021), he maintained 2G/4G/5G networks, optimized signal coverage, and managed mobile cloud services. At Ericsson (2022), he developed backend servers using 5G protocols and designed performance test cases. His research includes developing a VR electromagnetic wave teaching platform, designing intelligent teaching assessment tools for rural education, and implementing federated knowledge graph completion systems. His technical expertise spans backend development, federated learning, and AI model interpretability. 📡🔍🤖

Research Interests 🔬

Changfan Pan’s research focuses on causal inference, synthetic data generation, and federated learning. He explores interpretable methods in knowledge tracing and stable attribution using local surrogate models. His work on synthetic data generation emphasizes fairness and privacy preservation. In federated learning, he designs decentralized frameworks for education applications, enhancing privacy-preserving knowledge graph completion. His published research includes papers in AAAI and IEEE ICDM, covering cross-domain multi-modality classification and trustworthy AI mechanisms. His projects include VR-based educational tools and intelligent assessment systems for rural teachers. His research aims to bridge AI advancements with practical applications in education and data privacy. 📊📖🔍

Awards & Recognitions 🏅

Changfan Pan has received multiple accolades for his contributions to AI and telecommunications. He was awarded the National Undergraduate Innovation and Entrepreneurship Training Program honor (2019). At China Mobile, he won First Prize for Wireless Network Maintenance Quality (2022). In AI competitions, he achieved a Bronze Medal (Top 6%) in a Kaggle Featured Code Competition (2023). Academically, he received the First-Class Scholarship at Zhejiang Normal University (2023). His consistent excellence in research, industry projects, and competitive AI challenges highlight his strong analytical and problem-solving skills. 🏅📜🎖️

Publications 📚

1. Changfan Pan, Jia Zhu, Qing Wang, Stable Attribution with Local Linear Surrogate Model, ThirtyEighth AAAI           Conference on Artificial Intelligence. (CCF-A)

2. Qing Wang, Jia Zhu, Changfan Pan, Yilong Ji, and Hanghui Guo, Dual trus

Gokhan Yildirim | Marketing analytics | Best Researcher Award

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Dr. Gokhan Yildirim | Marketing analytics | Best Researcher Award

Gokhan Yildirim is an Associate Professor of Marketing at Imperial College Business School, specializing in marketing analytics and return on investment. His expertise spans digital marketing, long-term marketing effectiveness, and customer mindset metrics. With a strong foundation in applied time series econometrics and machine learning, he has made significant contributions to the field of marketing science. Yildirim has held academic positions at Lancaster University and has been a visiting researcher at Tilburg University. His research has been widely published in top-tier journals, influencing both academia and industry.

Profile

Education 🎓

Gokhan Yildirim earned his PhD in Business Administration and Quantitative Methods from Universidad Carlos III de Madrid (UC3M) in 2012, with a dissertation on marketing dynamics. His academic journey began with a BA in Business Administration (1999–2003) and an MSc in Quantitative Methods (2003–2006) from Marmara University, Istanbul. He also conducted research as a visiting scholar at Tilburg University, Netherlands, further strengthening his expertise in marketing analytics and econometrics.

Experience 👨‍🏫

Yildirim has been an Associate Professor of Marketing at Imperial College Business School since 2019, following his tenure as an Assistant Professor from 2016 to 2019. Before that, he was an Assistant Professor of Marketing Analytics at Lancaster University (2012–2016). His industry collaborations focus on marketing resource allocation, customer analytics, and data-driven decision-making. His research integrates econometric modeling and machine learning to optimize marketing strategies and enhance business performance.

Research Interests 🔬

Yildirim’s research centers on return on marketing investment, digital marketing effectiveness, and customer mindset metrics. He applies advanced econometric and machine learning techniques to analyze marketing resource allocation and long-term advertising impacts. His work explores how marketing strategies influence consumer behavior and business growth, contributing to both academic literature and real-world marketing practices

Awards & Recognitions 🏅

Yildirim has received several prestigious awards, including the 2017–2018 Gary Lilien ISMS-MSI-EMAC Practice Prize for his work on multichannel marketing at L’Occitane. He has also secured multiple research grants, such as the Wharton Customer Analytics Initiative (2015–2016) and the Spanish Ministry of Science and Innovation grants (2012–2018). His contributions have been recognized through funding from AiMark and other leading research bodies, further cementing his influence in marketing analytics.

Publications 📚

Meshesha Zewdie | Development Economics | Best Researcher Award

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Mr. Meshesha Zewdie | Development Economics | Best Researcher Award

Meshesha Zewdie Amare 🇪🇹 is a dedicated economist and researcher specializing in Development Economics. He serves as a Lecturer and Researcher at the Ethiopian Civil Service University, where he also coordinates Master’s programs. With a strong background in microeconomics, econometrics, and policy analysis, he has led various research projects on economic growth, child labor, and foreign direct investment. His extensive work experience spans academia, government, and project coordination roles. He has contributed significantly to national policy discussions through research presentations and training programs.

Profile

Education 🎓

📖 Ph.D. (Development Economics) – Arba Minch University (2020-Present, Defense Pending) 🎓 CGPA: 3.97/4.00
📖 MSc (Development Economics) – Ethiopian Civil Service University (2014-2016) 🎓 CGPA: 4.00/4.00
📖 BSc (Agricultural Economics) – Haramaya University (2005-2011) 🎓 CGPA: 3.49/4.00
📖 Diploma (General Agriculture) – Jimma University (1999-2001) 🎓 CGPA: 3.88/4.00

Experience 👨‍🏫

👨‍🏫 Lecturer & Researcher – Ethiopian Civil Service University (2016-Present)
📌 Teaching economics, program coordination, and leading major research projects
📌 Conducting grand research on child labor and foreign direct investment
📌 Delivering training on STATA & SPSS for research professionals

📊 Planning & Monitoring Expert – Sululta Town Administration (2009-2014)
📌 Managing MSE projects, business plan development, and government project evaluations

🌱 WFP-MERET & UNDP Coordinator – Bureau of Agriculture (2002-2009)
📌 Overseeing rural development projects and coordinating agricultural programs

Research Interests 🔬

📊 Economic Growth & Development – Impact of resource endowments on African economies
👶 Child Labor & Socioeconomic Policies – Analyzing labor exploitation in Addis Ababa
💰 Foreign Direct Investment – Attraction, retention, and corporate responsibility in Ethiopia
📈 Entrepreneurship & MSMEs – Investigating micro and small enterprise dynamics post-COVID
📊 Statistical & Econometric Modeling – Applying STATA, SPSS, and policy impact evaluation

Awards & Recognitions 🏅

🏆 Outstanding Academic Excellence (CGPA 4.00/4.00) – MSc at ECSU
🏆 Best Research Presentation – Ethiopian Civil Service University (2022)
🏆 Certificate of Excellence – 11th Biennial Microfinance Conference (2022)
🏆 Best Policy Impact Evaluation Trainee – Ethiopian Economic Association (2023)
🏆 Numerous Certifications in Research & Project Management

Publications 📚

  • 1.Amare, M.Z., Mulugeta, W. & Mencha, M. Nexus
    between natural resource endowments and economic
    growth in selected African countries. Discov Sustain 5,
    255 (2024). https://doi.org/10.1007/s43621-024-00448-3
  • Meshesha Z.,and Dessalegn Sh.(2020) Graduate
    Unemployment and Its Duration: Evidence from
    Selected Cities of Oromia National Regional State.
    Journal of African Development studies (JADS) Volume
    7, No. 2, Dec 2020. ISSN: 2079-0155 (print): 2710-
    0022(Online) Website:
    http://ejol.aau.edu.et/index.php/JADS/index
  • Meshesha, Z.,and Dessalegn, Sh.(2021). Saving
    Behavior of Women Entrepreneurs in Addis Ababa,
    Ethiopia. Journal of Economics and Sustainable
    Development: ISSN 2222-1700 (Paper) ISSN 2222-
    2855 (Online) Vol.12, No.20, 2021www.iiste.org.
  • Meshesha, Z., and Dessalegn. Sh.(2021). Economic
    Effects of COVID-19 on Micro and Small Enterprises in
    Addis Ababa Surrounding Towns of Oromia National
    6 |M e s h e s h a Z e w d i e , c v ( N o v e m b e r , 2 0 2 4 )
    Regional State: JADS Vol 8 No. 2, Dec 2021 Issue; DOI:
    https://doi.org/10.56302/jads.v8i2.3262.

Joshua Coste | Movement Ecology | Young Scientist Award

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Mr. Joshua Coste | Movement Ecology | Young Scientist Award

Joshua Coste is a marine biologist and ecologist specializing in movement ecology, navigation behavior, and population genetics. He completed his BEST-ALI master’s program at the University of La Réunion and has conducted research at the Environment and Sustainability Institute (University of Exeter). His work focuses on seabird homing navigation and population connectivity, integrating tracking and genetic techniques. He has been involved in international fieldwork, collaborating with the ENTROPIE lab, SEOR, and the UK Chagos Archipelago research team. His latest research, published in Animal Behaviour, highlights the adaptive navigation of red-footed boobies. He has presented at international conferences, including the 16th International Seabird Group Conference.

Profile

Education 🎓

Joshua earned his Master’s in Biodiversity, Ecology, and Evolution from the University of La Réunion, specializing in tropical, aquatic, coastal, and island ecosystems (2022–2024). His bachelor’s degree in Biology-Ecology was from Nantes University, France (2019–2022). He also holds a scientific high school diploma with honors, specializing in Engineering Sciences. His academic training includes practical work in marine biology, genetic analysis, and ecological modeling. His education has equipped him with expertise in spatial analysis, seabird tracking, and conservation genetics.

Experience 👨‍🏫

Joshua has completed multiple research internships worldwide. At the University of Exeter, he studied the homing navigation of red-footed boobies using GPS data. At the University of La Réunion, he analyzed the genetic structure of Barau’s Petrel colonies. His internship at the Federal University of Rio Grande do Norte, Brazil, involved studying coral competition. At IFREMER Bretagne, he worked on archaea cultures in extreme environments. He also supported students with disabilities at Handisup, Nantes. His voluntary experience includes seabird monitoring with ENTROPIE, coral reef assessments, and conservation work with BESTRUN.

Research Interests 🔬

Joshua specializes in movement ecology, behavioral ecology, and population genetics. His research explores seabird navigation, homing efficiency, and environmental adaptation. His study on red-footed boobies demonstrated how seabirds adjust flight paths based on daylight constraints. He has worked on connectivity between seabird colonies, philopatry’s influence on genetic diversity, and coral reef ecosystem dynamics. His interdisciplinary approach combines fieldwork, genetic analysis, and computational modeling.

Awards & Recognitions 🏅

Joshua was nominated for the Young Scientist Award by the International Cognitive Scientist Awards. His research on seabird navigation was recognized at the 16th International Seabird Group Conference. His Animal Behaviour publication has gained academic recognition. He actively contributes to international collaborations in marine biology and conservation.

Publications 📚

  • Homing navigation is optimized to diurnal constraints in a tropical seabird, the red-footed booby

    Animal Behaviour
    2025-04 | Journal article
    DOI: 10.1016/j.anbehav.2025.123116
    CONTRIBUTORS: Joshua Coste; Stephen C. Votier; Ruth E. Dunn; Robin Freeman; Malcolm A. Nicoll; Peter Carr; Hannah Wood; Alice M. Trevail

Anne Demulder | Development Economics | Best Researcher Award

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Prof. Anne Demulder | Development Economics | Best Researcher Award

🇧🇪 Anne Demulder, born on September 1, 1957, in Ixelles, Belgium, is a Belgian medical biologist specializing in hematology. She is a faculty member at Université libre de Bruxelles (ULB) and a consultant at LHUB-ULB. With a distinguished career in clinical biology, she has played a key role in hematology diagnostics, research, and laboratory management. Her contributions extend to academia, where she has trained pharmacists and biologists. Fluent in French, Dutch, English, and Spanish, she has also been involved in international medical cooperation.

Profile

Education 🎓

📚 Dr. Demulder earned her MD from ULB in 1982, specializing in clinical biology. She completed postgraduate training in clinical chemistry, bacteriology, radioisotopes, and hematology at CHU Brugmann. In 1990-1991, she pursued postdoctoral research in hematology and endocrinology at the University of Texas Health Science Center, USA. She obtained a Master in Health Institution Management (2012-2013) and has been a clinical biology supervisor at ULB’s Faculty of Pharmacy.

Experience 👨‍🏫

🏥 Dr. Demulder has been a medical biologist at LHUB-ULB since 1992, serving as Chief of Hematology. She supervises hematological diagnostics, oversees laboratory quality assurance, and contributes to medical research. She previously worked as a postdoctoral fellow in the USA (1990-1992) and a resident in hematology at CHU Brugmann (1985-1989). She has played an active role in medical education, training pharmacists, biologists, and clinicians. She also contributed to international academic cooperation, particularly in Burkina Faso and Guinea.

Research Interests 🔬

🧪 Dr. Demulder’s research explores global hemostasis testing for hematologic disorders. She investigates hypercoagulability in sickle cell disease and leukemia patients undergoing asparaginase treatment. Her work also focuses on thrombin generation tests for personalized hemophilia therapy. Recently, she has studied coagulation abnormalities in acute and long COVID patients. Her research aims to enhance diagnostic accuracy and therapeutic approaches in hematology.

Awards & Recognitions 🏅

🎖️ Dr. Demulder has received recognition for her contributions to hematology, clinical biology, and international cooperation. As an academic leader, she played a key role in laboratory standardization (ISO 15189) and was a member of the CHU Brugmann Medical Council. Her work in developing biomedical sciences in Africa through targeted university projects has been widely acknowledged. She has also been a pivotal figure in the integration of hematology services at LHUB-ULB.

Publications 📚

  • Exploring Hypercoagulability in Post-COVID Syndrome (PCS): An Attempt at Unraveling the Endothelial Dysfunction

    Journal of Clinical Medicine
    2025-01-25 | Journal article
    DOI: 10.3390/jcm14030789
    CONTRIBUTORS: Maxim Muys; Anne Demulder; Tatiana Besse-Hammer; Nathalie Ghorra; Laurence Rozen

  • Assessment of Arteriovenous Fistula Maturation in Hemodialysis Patients with Persistently Positive Antiphospholipid Antibody: A Prospective Observational Cohort Study

    Life
    2025-01-24 | Journal article
    DOI: 10.3390/life15020168
    CONTRIBUTORS: Maxime Taghavi; Lucas Jacobs; Saleh Kaysi; Yves Dernier; Edouard Cubilier; Louis Chebli; Marc Laureys; Frédéric Collart; Anne Demulder; Marie-Hélène Antoine et al.

  • Rivaroxaban presents a better pharmacokinetic profile than dabigatran in an obese non-diabetic stroke patient

    Journal of the Neurological Sciences
    2014-11 | Journal article
    DOI: 10.1016/j.jns.2014.09.008
    CONTRIBUTORS: Apostolos Safouris; Anne Demulder; Nikos Triantafyllou; Georgios Tsivgoulis

Myoung-Jin Chae | Digital Marketing | Best Researcher Award

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Dr. Myoung-Jin Chae | Digital Marketing | Best Researcher Award

Myoung-Jin Chae is an Assistant Professor of Marketing at Soonchunhyang University, Korea. Previously, he was an Assistant Professor at Lingnan University, Hong Kong. His expertise spans digital marketing, AI-driven consumer engagement, and sustainable consumption. He holds a Ph.D. in Management (Marketing) from Georgia Institute of Technology, an M.A. in Statistics from Columbia University, and dual B.S./B.B.A. degrees from Korea University. His research focuses on advertising, corporate social responsibility, and social justice in marketing. Dr. Chae has published extensively in high-impact journals such as the Journal of Business Research and Journal of Interactive Marketing. His contributions have earned recognition, including a Marketing Science Institute Research Grant and a Best Paper Award at the Summer AMA Conference. Beyond academia, he serves on editorial boards and reviews for top marketing journals.

Profile

Education 🎓

Dr. Myoung-Jin Chae earned his Ph.D. in Management (Marketing) from Georgia Institute of Technology’s Scheller College of Business in 2018, where he researched advertising context management. His dissertation was supervised by Dr. Omar Rodriguez-Vila, alongside a distinguished committee. Prior to his doctorate, he obtained an M.A. in Statistics from Columbia University, equipping him with strong analytical skills for marketing research. His undergraduate studies were completed at Korea University, where he earned a B.S. in Statistics and a B.B.A. in Business Administration. This diverse academic background has shaped his expertise in data-driven marketing and AI applications in consumer behavior.

Experience 👨‍🏫

Dr. Chae has extensive academic experience, currently serving as an Assistant Professor at Soonchunhyang University since 2021. He previously held the same role at Lingnan University, Hong Kong (2018-2021). His prior teaching roles include Instructor at Georgia Institute of Technology (2015-2016) and Teaching Assistant at Korea University (2009). Additionally, he was a Graduate Research Assistant at Georgia Tech (2012-2018), where he contributed to multiple high-impact research projects. His teaching portfolio includes courses in International Marketing, Digital Marketing, Research Methods, and Marketing Analytics. Dr. Chae also actively participates in university service, including curriculum development and research exchange committees.

Research Interests 🔬

Dr. Chae’s research centers on digital marketing, AI-driven consumer engagement, advertising effectiveness, and corporate social responsibility. He investigates consumer behavior in response to AI-powered marketing, the role of context in advertising, and sustainability in consumption. His studies on “real-time” social media messaging, AI assistants’ human-likeness, and corporate social responsibility have been published in top-tier journals. His ongoing projects explore AI’s influence on luxury product choices, gendered AI perception, and vaccine messaging strategies. His work contributes to understanding consumer interactions in an evolving digital landscape.

Awards & Recognitions 🏅

Dr. Chae has received numerous accolades for his research, including the Marketing Science Institute (MSI) Research Grant (#4-1986) and the Best Paper Award in the Brand Track at the Summer AMA Conference. His work has been featured in MSI Webinar Series, showcasing its impact on marketing practice. Additionally, he secured competitive faculty research grants, such as the Faculty Start-up Fund at Soonchunhyang University (KRW 12M) and Faculty Research Grant at Lingnan University (HK$12K). His research has also been supported by the Dean’s Innovation Fund at Georgia Tech and the Academic Venture Fund for Sustainability Research.

Publications 📚