Anastasios Liapakis | Computer Science | Best Researcher Award

Assist Prof Dr. Anastasios Liapakis | Computer Science | Best Researcher Award

University of West Attica | Greece

Author Profile

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Early Academic Pursuits 📚

Dr. Anastasios Liapakis embarked on his academic journey with a strong foundation in Agricultural Engineering at the Agricultural University of Athens, where he completed his B(Eng) with a commendable grade of 7.27/10. Driven by a passion for data and analytics, he pursued a Master of Business Administration (MBA) specializing in Data Analytics at the same institution. His dedication and academic excellence earned him a top grade of 8.59/10. Dr. Liapakis continued his pursuit of knowledge by obtaining a PhD in Informatics, focusing on Big Data Analytics in Agricultural Digital Markets. His research in this area, completed with an "Excellent" grade, laid the groundwork for his future contributions to the field.

Professional Endeavors 🚀

Dr. Liapakis has held several key academic positions that have shaped his career. He is currently an Adjunct Assistant Professor at the University of West Attica, where he teaches modules on E-governance and Databases. His experience spans various institutions, including the University of Peloponnese, where he taught Programming II, and the National & Kapodistrian University of Athens, where he delivered courses on Object-Oriented Programming, Software Systems Design, and e-Government Systems. As the Academic Head of the Informatics Department at New York College, Athens, he managed programs in Computing, Software Engineering, and Data Analytics, showcasing his leadership and expertise in the field.

Contributions and Research Focus 🔬

Dr. Liapakis' research interests lie at the intersection of Artificial Intelligence (AI), Big Data Analytics, and Cultural Heritage Information Management. He has made significant contributions to the understanding and application of AI in various domains, particularly in opinion mining and big data analytics. His work has been instrumental in developing innovative solutions for the agricultural sector, including automated monitoring and control systems against pests in the Mediterranean region. His research projects, funded by the EU, have had a profound impact on the industry, highlighting his ability to bridge the gap between academia and real-world applications.

Accolades and Recognition 🏆

Throughout his career, Dr. Liapakis has been recognized for his outstanding academic performance and research contributions. He received multiple scholarships and financial awards, including one from the Agricultural University of Athens for his exceptional performance in the MBA program and another from the Greek State Scholarships Foundation during his undergraduate studies. His research has also garnered accolades, including a Best Paper Award at the International Journal of Computational Linguistics in 2020, solidifying his reputation as a leading researcher in his field.

Impact and Influence 🌍

Dr. Liapakis' work has had a significant impact on the academic community and beyond. His research in big data analytics and AI has influenced how these technologies are applied in various sectors, particularly in agriculture and food industries. His contributions to sentiment analysis, particularly in the context of the Greek language, have provided valuable insights for both academia and industry. Additionally, his involvement in PhD supervision and as a reviewer for various research journals demonstrates his commitment to shaping the future of research in his field.

Legacy and Future Contributions 🌟

As Dr. Liapakis continues to advance his research in AI and big data, his legacy is one of innovation and dedication to the application of cutting-edge technologies in solving real-world problems. His ongoing work in cultural heritage information management and his leadership in academic programs ensure that his contributions will continue to influence future generations of researchers and practitioners. Dr. Liapakis' vision for integrating AI into various sectors, coupled with his extensive experience and accolades, positions him as a thought leader poised to make lasting contributions to both academia and industry.

 

Publications


  • 📝A Sentiment Analysis Approach for Exploring Customer Reviews of Online Food Delivery Services: A Greek Case
    Authors: Fragkos, N.; Liapakis, A.; Ntaliani, M.; Ntalianis, F.; Costopoulou, C.
    Journal: Preprints 2024, 2024041203
    Year: 2024

  • 📝Ethical Use of Artificial Intelligence and New Technologies in Education 5.0
    Authors: Liapakis, A., Smyrnaiou, Z., & Bougia, A.
    Journal: International Journal of Artificial Intelligence, Machine Learning and Data Science
    Year: 2023

  • 📝Big Data, Sentiment Analysis, and Examples during the COVID-19 Pandemic
    Authors: Diareme, K. C., Liapakis, A., & Efthymiou, I.
    Journal: HAPSc Policy Briefs Series
    Year: 2022

  • 📝An Aspect-Based Sentiment Analysis System to Analyze Customers’ Reviews from Food and Beverage Opinion and Review Webpages: The Greek Case
    Authors: Liapakis, A., Tsiligiridis, T., Yialouris, C., & Costopoulou, C., Diareme, K.C.
    Journal: Information (Accepted for publication)
    Year: 2021

  • 📝A Corpus-Driven, Aspect-Based Sentiment Analysis to Evaluate in Almost Real-Time, a Large Volume of Online Food & Beverage Reviews
    Authors: Liapakis, A., Tsiligiridis, T., Yialouris, C., & Maliappis, M.
    Journal: International Journal of Computational Linguistics (IJCL)
    Year: 2020

 

Jingjing Cao | Computer Science | Best Researcher Award

Dr. Jingjing Cao | Computer Science | Best Researcher Award

School of Transportation and Logistics Engineering | China

Author Profile

Scopus

Orcid

Early Academic Pursuits

Dr. Jingjing Cao's academic journey commenced with a Bachelor of Engineering in Information and Computing Science from Dalian Maritime University. Subsequently, she pursued a Master of Science in Applied Mathematics before earning her Ph.D. from the Department of Computer Science at City University of Hong Kong.

Professional Endeavors

Dr. Cao's professional journey has been marked by significant contributions. She served as a Research Associate at Dalian Maritime University and later assumed roles as Assistant Professor and now Tenure Track Associate Professor at Wuhan University of Technology.

Contributions and Research Focus

With a focus on Machine Learning and its applications in transportation and logistics, Dr. Cao has made remarkable contributions. Her research spans various domains, including ensemble learning, deep learning, and optimization algorithms, as evidenced by her prolific publication record in reputable journals and conferences.

Accolades and Recognition

Dr. Cao's impactful research has garnered widespread recognition, exemplified by her receipt of the prestigious Best Researcher Award. Her publications in renowned journals and conferences underscore her standing as a leading figure in the field of Computer Science and Machine Learning.

Impact and Influence

Dr. Cao's work has left a lasting impact on the academic community and industry alike. Her research has not only advanced the theoretical understanding of Machine Learning but has also found practical applications in domains such as transportation, logistics, and industrial informatics.

Legacy and Future Contributions

As Dr. Cao continues her academic journey, her legacy is defined by a commitment to excellence in research and education. With ongoing projects and professional services, she remains dedicated to shaping the future of Computer Science and Machine Learning, leaving an indelible mark on the field.

Notable Publication

FE-Net: Feature enhancement segmentation network 2024

Optimization of energy-efficient open shop scheduling with an adaptive multi-objective differential evolution algorithm 2022 (24)

A two-stage model for forecasting consumers’ intention to purchase with e-coupons 2021 (15)

RtDS: real-time distributed strategy for multi-period task offloading in vehicular edge computing environment 2021 (14)

Adaptive sliding window based activity recognition for assisted livings 2020 (62)

 

 

 

 

 

Zhiwei Yang | Computer Science | Best Researcher Award

Dr. Zhiwei Yang | Computer Science | Best Researcher Award

Jinan University | China

Author Profile

Scopus

Early Academic Pursuits

Zhiwei Yang embarked on his academic journey with a focus on Computer Science, earning a Master's degree in Computer Science from Fuzhou University. Subsequently, he delved into advanced studies, pursuing a Ph.D. in Computer Software and Theory at Jilin University. During his doctoral journey, he also broadened his academic horizons as a full-time exchange Ph.D. student at Hong Kong Baptist University, under the mentorship of Prof. Jing Ma.

Professional Endeavors

Currently holding the position of Assistant Professor at the Guangdong Institute of Smart Education, Jinan University, Guangzhou, China, Zhiwei Yang has demonstrated his commitment to academia. His professional path has been marked by a dedication to unraveling the intricacies of Information Extraction and Rumor Detection.

Contributions and Research Focus

Zhiwei Yang's research contributions extend beyond the confines of traditional academia. With over 10 publications in esteemed international conferences and journals such as AAAI, IJCAI, EMNLP, COLING, TNNLS, IPM, Neurocomputing, among others, he has significantly impacted the fields of Information Extraction and Rumor Detection. Furthermore, his innovative work has been acknowledged with the granting of three Chinese national invention patents.

Accolades and Recognition

Zhiwei Yang's scholarly pursuits have earned him recognition and respect in the academic community. Serving as a reviewer for prestigious conferences and journals including ACL, AAAI, KDD, IPM, Neural Networks, reflects the acknowledgment of his expertise in the field.

Impact and Influence

Zhiwei Yang's influence resonates not only through his publications and patents but also through his role as an educator, shaping the minds of aspiring scholars. His insights and contributions have contributed to advancements in the understanding and application of Information Extraction and Rumor Detection.

Legacy and Future Contributions

As an emerging figure in the realm of Computer Science, Zhiwei Yang's legacy is marked by a dedication to knowledge dissemination and innovative research. His future contributions are anticipated to further enrich the fields of Information Extraction and Rumor Detection, leaving an enduring impact on the academic landscape.

Notable Publications

CoTea: Collaborative teaching for low-resource named entity recognition with a divide-and-conquer strategy 2024

A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection 2022

Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition 2022 (22)

Bringing order to episodes: Mining timeline in social media 2021 (3)

 

 

Nan Li | Computer Science | Best Researcher Award

Nan Li | Computer Science | Tianjin University

Mr Nan Li | Computer Science

 

Early Academic Pursuits

Nan Li embarked on an academic journey marked by intellectual curiosity and a hunger for knowledge at Tianjin University. His early academic pursuits laid the foundation for a successful trajectory, culminating in notable achievements and contributions to the field.

Professional Endeavors

His professional journey is characterized by a commitment to scholarly pursuits. Nan Li engaged in rigorous research activities, honing his expertise and contributing significantly to the academic domain.

Contributions and Research Focus

Nan Li's research focus centered on [insert specific area of research here]. His contributions are marked by [insert specific contributions or methodologies], showcasing a deep understanding and innovative approach to the subject matter. His work shed light on [insert impact or insights derived from his research].

Accolades and Recognition

His dedication and contributions have been recognized through various accolades. Notably, Nan Li received [insert awards or recognition received], highlighting the acknowledgment of his scholarly contributions within the academic community.

Impact and Influence

Nan Li's work has had a profound impact, influencing [mention specific areas or disciplines influenced by his research]. His insights and findings have contributed to shaping discussions and advancements within the academic sphere.

Legacy and Future Contributions

Nan Li's legacy is one of intellectual rigor and scholarly excellence. His contributions have paved the way for future researchers, setting a high standard for academic inquiry. Looking ahead, his commitment to [mention future goals or areas of continued research] promises continued advancements and contributions to the academic world.

Notable Publication

Robust Voice Activity Detection Using a Masked Auditory Encoder Based Convolutional Neural Network   2021 (2)

A Fast Convolutional Self-attention Based Speech Dereverberation Method for Robust Speech Recognition 2019 (3)