Assist Prof Dr. Tipajin Thaipisutikul | Innovative Leadership |Best Researcher Award | 3184

Assist Prof Dr. Tipajin Thaipisutikul | Innovative Leadership |Best Researcher Award

Mahidol University, Thailand 

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Google Scholar 

Early Academic Pursuits 🎓

Dr. Tipajin Thaipisutikul’s academic journey began at Mahidol University, Thailand, where he earned his Bachelor of Science in Information and Communication Technology in 2010 with First Class Honours. His senior project, “VAPO,” a Voice Activated Personal Organizer, showcased his early interest in innovative technology and garnered significant attention. He continued his studies at The University of Sydney, Australia, completing a Master of Information Technology in 2012, specializing in Computer Networks. His thesis, “mSpeed,” involved crowdsourcing measurements on cellular networks, reflecting his growing expertise in data collection and analysis.

Dr. Thaipisutikul’s pursuit of excellence led him to National Central University, Taiwan, where he earned his Ph.D. in Computer Science in 2021. His doctoral research, “A Novel Deep Sequential Recommendation Model Based on Contextual Information,” explored deep learning models for recommendation systems, setting the stage for his future contributions to the field of artificial intelligence.

Professional Endeavors 🌟

Dr. Thaipisutikul has made substantial strides in academia and industry. As the Assistant Dean for Academic Services and Technology Transfer at Mahidol University’s Faculty of ICT, he has been instrumental in advancing educational programs and fostering technology transfer initiatives. His role involves instructing a variety of courses, including Advanced Programming and the Fundamentals of Programming in Python and C.

His career also includes significant teaching and research roles at Yuan Ze University in Taiwan and various faculties within Mahidol University. Dr. Thaipisutikul has provided guest lectures on cutting-edge topics such as Generative AI and Deep Learning, further establishing his reputation as a thought leader in the field.

Contributions and Research Focus 🔬

Dr. Thaipisutikul’s research focus encompasses Sequence Learning, Deep Learning, Applied Intelligence, and Recommender Systems. His work has led to several influential publications in prestigious journals, including:

  • “Automatic Detection of Nostril and Key Markers in Images” (2024) in Intelligent Systems with Applications.
  • “Forecasting National-Level Self-Harm Trends with Social Networks” (2023) in IEEE Access.
  • “Multi-hop Video Super Resolution with Long-Term Consistency (MVSRGAN)” (2023) in Multimedia Tools and Applications.
  • “An Improved Deep Sequential Model for Context-Aware POI Recommendation” (2023) in Multimedia Tools and Applications.

Dr. Thaipisutikul’s research integrates deep learning techniques with practical applications, significantly advancing the capabilities of recommendation systems and contextual information processing.

Accolades and Recognition 🏆

Dr. Thaipisutikul’s contributions have been recognized through numerous awards:

  • Best Paper Award at The 5th International Conference on Information Technology (2020) for “HandKey: An Efficient Hand Typing Recognition Using CNN for Virtual Keyboard.”
  • Excellent Paper Award and Best Paper Award at the International Conference on Ubi-Media Computing (2018, 2019).
  • Best Presentation Award at the 10th International Workshop on Advanced E-Learning (2017).

These accolades reflect his impact on the field and his ability to contribute innovative solutions to complex problems.

Impact and Influence 🌐

Dr. Thaipisutikul’s work has made significant impacts on both academic and practical fronts. His research has advanced the state-of-the-art in deep learning and recommendation systems, influencing how intelligent systems are developed and applied in various industries. His teaching and training initiatives, including specialized courses on Python Programming and AI, have equipped students and professionals with the skills needed to excel in a rapidly evolving technological landscape.

Legacy and Future Contributions 🌟

Looking forward, Dr. Thaipisutikul aims to further his research in sequence learning and deep learning applications, exploring new frontiers in artificial intelligence and machine learning. His ongoing projects and collaborations are expected to yield innovative solutions and contribute to the advancement of technology in diverse fields.

His legacy is marked by a commitment to academic excellence, innovation, and the application of advanced technologies to solve real-world problems. As he continues to mentor the next generation of researchers and professionals, Dr. Thaipisutikul’s influence on the field of computer science and information technology is poised to grow, shaping the future of artificial intelligence and applied intelligence.

Notable Publications 

“A collaborative filtering recommendation system with dynamic time decay”

Authors: YC Chen, L Hui, T Thaipisutikul

Journal: The Journal of Supercomputing

Volume: 77

Issue: 1

Pages: 244-262

Year: 2020

“A Learning-Based POI Recommendation With Spatiotemporal Context Awareness”

Authors: YC Chen, T Thaipisutikul, TK Shih

Journal: IEEE Transactions on Cybernetics

Volume: 46

Issue: 5

Pages: 1185-1196

Year: 2020

“Feature Line Embedding Based on Support Vector Machine for Hyperspectral Image Classification”

Authors: YN Chen, T Thaipisutikul, CC Han, TJ Liu, KC Fan

Journal: Remote Sensing

Volume: 13

Issue: 1

Pages: 130

Year: 2021

“DAViS: a unified solution for data collection, analyzation, and visualization in real-time stock market prediction”

Authors: S Tuarob, P Wettayakorn, P Phetchai, S Traivijitkhun, S Lim, T Noraset, …

Journal: Financial Innovation

Volume: 7

Issue: 1

Pages: 1-32

Year: 2021

“MDPrePost-Net: A Spatial-Spectral-Temporal Fully Convolutional Network for Mapping of Mangrove Degradation Affected by Hurricane Irma 2017 Using Sentinel-2 Data”

Authors: I Jamaluddin, T Thaipisutikul, YN Chen, CH Chuang, CL Hu

Journal: Remote Sensing

Volume: 13

Issue: 24

Pages: 5042

Year: 2021

Prof Artem Khalatov | Innovative Leadership | Leadership and Research Excellence Award

Prof. Artem Khalatov | Innovative Leadership | Leadership and Research Excellence Award 

Institute of Engineering Thermophysics, National academy of sciences, Kiev, Ukraine

Profile 

Orcid 

Scopus 

Early Academic Pursuits 🌟

Artem Khalatov’s academic journey began in the former Soviet Union, where he was born on December 14, 1942, in the city of Tashkent, Uzbekistan. He pursued his education at the Aviation Institute (Technical University) in Kazan, Russia. In 1967, Khalatov earned his MSc in Aeroengines, specializing in the aerothermodynamics of aeroengines. His dedication to the field led him to continue his studies at the same institute, where he embarked on a PhD program focused on the heat transfer and hydrodynamics in supersonic nozzles. By 1970, he had successfully completed his PhD, marking the beginning of a remarkable career in engineering thermophysics.

Professional Endeavors 🚀

Khalatov’s professional career is distinguished by his extensive contributions to academia and research institutions. He began his academic career as an Assistant Professor, Senior Lecturer, and Associate Professor at the Aviation Institute in Kazan. In 1979, he transitioned to the Kiev Institute of Air Forces in Ukraine as a Full Professor. By 1983, he had joined the Institute of Engineering Thermophysics at the National Academy of Sciences of Ukraine, where he currently serves as the Head of the Department of Thermogasdynamics. Throughout his career, Khalatov held various prestigious positions, including Deputy Director for Research from 1986 to 1993.

In addition to his primary roles, Khalatov has held part-time and visiting professorships at several esteemed institutions worldwide, including the National Technical University of Ukraine, Cardiff University in the UK, and the University of Utah in the USA. His expertise has been sought after by numerous universities and research organizations globally, enhancing his reputation as a leading figure in the field of thermophysics and aeroengines.

Contributions and Research Focus 🔬

Artem Khalatov’s research contributions are vast and impactful. His work primarily focuses on fundamental heat transfer, new thermodynamics cycles, aeroengine theory, and heat transfer management. He has pioneered research in swirling and vortex flows, heat transfer augmentation, and innovative gas turbine blade cooling techniques. Khalatov’s work on cooling microelectronic devices and developing new aerothermal vortex technologies has also gained significant recognition. His innovative approaches have led to advancements in vortex heat exchangers and technological vortex chambers, further cementing his status as a leading expert in his field.

Khalatov’s publication record is impressive, with 31 books (28 in Russian and 2 in English), around 800 published papers and conference presentations (over 100 in English), 19 textbooks and tutorials, and over 130 patents. His prolific output underscores his dedication to advancing knowledge and technology in his field.

Accolades and Recognition 🏅

Throughout his career, Khalatov has received numerous awards and honors for his scientific achievements. Notably, he was awarded the First International NATO Scientific Committee Award in 2002, and he has received three scientific awards from the National Academy of Sciences of Ukraine in 1992, 2003, and 2023. His contributions to gas turbine engineering earned him the State Award of Ukraine in 2010, and he was honored with the Yu. Gagarin Medal by the Russian Aerospace Agency in 2002.

Khalatov’s international recognition includes being named an Honorary Professor at Cardiff University in 1996 and serving as the W.W. Clyde Chair Visiting Professor at the University of Utah in 2004. His significant contributions to science and technology were further acknowledged when he was named an Honored Worker of Science and Technology of Ukraine in 2018.

Impact and Influence 🌐

Khalatov’s influence extends beyond academia and research. He has been instrumental in advancing the field of engineering thermophysics, particularly in Ukraine. His leadership roles in various national and international scientific committees have enabled him to shape research agendas and promote collaboration across borders. Khalatov’s involvement in editorial boards of prominent journals, such as “Gas Turbine Technologies” and “Thermophysics and Thermal Engineering,” has allowed him to contribute to the dissemination of cutting-edge research in his field.

His teaching experience is equally noteworthy, having taught courses in thermodynamics, heat transfer, air-cooled gas turbines, and novel gas turbine blade cooling technologies at technical universities in Ukraine, the USA, Russia, and Great Britain. Khalatov has supervised 40 completed PhD theses, nurturing the next generation of engineers and researchers.

Legacy and Future Contributions Highlight 🌱

Artem Khalatov’s legacy is defined by his groundbreaking research, extensive publications, and impactful teaching. His work has significantly advanced the understanding of heat transfer and aerodynamics in aeroengines, influencing both academic research and practical applications in the aerospace industry. Khalatov’s contributions to the development of innovative cooling techniques for gas turbines and microelectronic devices have had a lasting impact on these fields.

As he continues to lead the Department of Thermogasdynamics at the Institute of Engineering Thermophysics, Khalatov’s future contributions are expected to further push the boundaries of engineering thermophysics. His ongoing research in new thermodynamics cycles and aerothermal vortex technologies promises to yield new insights and technological advancements, ensuring that his legacy will endure for generations to come.

 

Publications 

Swirling flow and heat transfer in a pipe: Decay and transition to axial flow

Authors: Dongyun Wang, Artem Khalatov, Igor Borisov, E Shi-Ju, Oleg Stupak

Journal: International Journal of Heat and Mass Transfer

Year: 2024

CALCULATION OF CLOSED WET COOLING TOWERS USING MODIFIED Ε-NTU APPROACHES

Authors: A.A. Khalatov, I.I. Borisov

Journal: Energy Technologies & Resource Saving

Year: 2024

Aerodynamics and Heat Transfer Near the Conical Chimney Placed on the Thermal Power Station Site

Authors: Artem Khalatov, Oksana Shikhabutinova, Anna Chyrkova

Journal: Book chapter (Published in a book by Springer)

Year: 2023

Small-size jet-powered combat unmanned aircraft systems

Authors: Artem Khalatov, Artem Khalatov, Oleksandr Nemchin, Yevhenii Shkvar, Andrey Kuzmin, Sergiy

Journal: Book

Year: 2023

 

Prof. Xiansheng Liu | Charismatic Leadership | Best Scholar Award

Prof. Xiansheng Liu , Charismatic Leadership, Best Scholar Award

Prof. Xiansheng Liu, Shanxi Bethune Hospital China

🔗 Professional Profiles

Summary 🌟

Dr. Liu Xiansheng is a distinguished professor and chief physician with a notable career in respiratory medicine. Currently serving as the President and Deputy Secretary of Shanxi Bethune Hospital, he has significantly contributed to the field through both his clinical practice and research. He has published over 120 papers and led numerous significant research projects, earning prestigious awards for his scientific achievements.

Education 🎓

  • Ph.D. in Respiratory Medicine
    Tongji Medical College, Huazhong University of Science and Technology (09/1999 – 07/2002)
  • Master’s in Respiratory Medicine
    Original Tongji Medical University (09/1995 – 07/1998)
  • Bachelor’s in Clinical Medicine
    Original Tongji Medical University (09/1987 – 07/1992)

Professional Experience 💼

  • President and Deputy Secretary
    Shanxi Bethune Hospital (01/2019 – Present)
  • Professor / Chief Physician
    Tongji Hospital, Huazhong University of Science and Technology (06/2002 – Present)
  • Postdoctoral Fellow
    Virginia Commonwealth University School of Medicine, USA (06/2005 – 12/2006)
  • Resident Physician
    Tongji Hospital, Huazhong University of Science and Technology (09/1992 – 07/1995)

Research Interests 🔬

Dr. Liu specializes in both basic and clinical research related to asthma and chronic obstructive pulmonary disease (COPD). His work has led to several advancements in these fields, supported by various high-profile grants and projects. His research contributions have been recognized with multiple awards, including national and provincial prizes for science and technology progress.

Publication Top Noted

Exosome microRNA-125a-5p derived from epithelium promotes M1 macrophage polarization by targeting IL1RN in chronic obstructive pulmonary disease

    • Authors: Wang, R., Zhu, Z., Peng, S., Wei, S., Liu, X.
    • Journal: International Immunopharmacology
    • Year: 2024
    • Volume: 137
    • Issue: –
    • Pages: 112466

COPD patients with high blood eosinophil counts exhibit a lower rate of omicron infection and milder post-infection symptoms

    • Authors: Bai, X., Niu, Y., Wei, S., Liu, X., Wang, R.
    • Journal: Clinical Respiratory Journal
    • Year: 2024
    • Volume: 18
    • Issue: 6
    • Pages: e13790

Secular trends of asthma mortality in China and the United States from 1990 to 2019

    • Authors: Li, X., Guo, M., Niu, Y., Xie, M., Liu, X.
    • Journal: Chinese Medical Journal
    • Year: 2024
    • Volume: 137
    • Issue: 3
    • Pages: 273-282

Identification of novel biomarkers related to neutrophilic inflammation in COPD

    • Authors: Huang, Y., Niu, Y., Wang, X., He, Y., Liu, X.
    • Journal: Frontiers in Immunology
    • Year: 2024
    • Volume: 15
    • Issue: –
    • Pages: 1410158

Effect of fracture risk in inhaled corticosteroids in patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis

    • Authors: Peng, S., Tan, C., Du, L., Liu, X., Wang, R.
    • Journal: BMC Pulmonary Medicine
    • Year: 2023
    • Volume: 23
    • Issue: 1
    • Pages: 304
  •  

Prof. Xing Huang Innovative Leadership | Best Researcher Award

Prof. Xing Huang – Innovative Leadership | Best Researcher Award

🧑‍🏫Prof Xing Huang, Northwestern Polytechnical University, China 

🔗 Professional Profiles

🎓 Education

  • Nov 2016 – Oct 2017: Visiting PhD in Computer Science, Department of Electrical and Computer Engineering, Duke University, USA 🇺🇸
  • Sep 2013 – Jun 2018: PhD in Intelligent Information Processing, College of Physics and Information Engineering, Fuzhou University, China 🇨🇳
  • Sep 2009 – Jun 2013: Bachelor in Computer Science and Technology, College of Mathematics and Computer Science, Fuzhou University, China 🇨🇳

👨‍🔬 Employment

  • Dec 2022 – Present: Full Professor, School of Computer Science, Northwestern Polytechnical University, China 🇨🇳
  • Aug 2022 – Nov 2022: Postdoctoral Research Fellow, Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong 🇭🇰
  • Dec 2020 – Apr 2022: Humboldt Research Fellow, Postdoctoral Research Fellow, Department of Electrical and Computer Engineering, Technical University of Munich, Germany 🇩🇪
  • Dec 2019 – Nov 2020: TUFF Fellow, Postdoctoral Research Fellow, Department of Electrical and Computer Engineering, Technical University of Munich, Germany 🇩🇪
  • Sep 2018 – Oct 2019: MOST Fellow, Postdoctoral Research Fellow, Department of Computer Science, National Tsing Hua University, Taiwan 🇹🇼

💡 Research Topics

  • 🧩 Electronic Design Automation
  • 🧬 Microfluidic Biochips and VLSI Circuits
  • 🤖 Artificial Intelligence and Machine Learning
  • 📊 Algorithm Design and Analysis
  • 🖥️ Computer-Aided Design

📞 Contact Information

Publication Top Noted

Paper Title : Hdr-nerf: High dynamic range neural radiance fields

    • Authors: Xin Huang, Qi Zhang, Ying Feng, Hongdong Li, Xuan Wang, Qing Wang
    • Journal: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
    • Year: 2022
    • Citations : 110

Paper Title : AIM 2020: Scene relighting and illumination estimation challenge

    • Authors: Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte, Mahmoud Afifi, Michael S Brown, Kele Xu, Hengxing Cai, Yuzhong Liu, Li-Wen Wang, Zhi-Song Liu, Chu-Tak Li, Sourya Dipta Das, Nisarg A Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M Parisa Beham, R Suganya, Qing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, AN Rajagopalan, Densen Puthussery, PS Hrishikesh, Melvin Kuriakose, C Victor Jiji, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng 
    • Journal: Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020, Proceedings, Part III 16
       Year: 2020
    • Citations:  47

Paper Title : Humannorm: Learning normal diffusion model for high-quality and realistic 3d human generation

    • Authors: Xin Huang, Ruizhi Shao, Qi Zhang, Hongwen Zhang, Ying Feng, Yebin Liu, Qing Wan 
    • Journal: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 
    • Year: 2024
    • Citations:  26

Paper Title : Local implicit ray function for generalizable radiance field representation

    • Authors: Xin Huang, Qi Zhang, Ying Feng, Xiaoyu Li, Xuan Wang, Qing Wang  
    • Journal: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
    • Year: 2023
    • Citations: 21

Paper Title : SA-AE for any-to-any relighting

    • Authors: Zhongyun Hu, Xin Huang, Yaning Li, Qing Wang
    • Journal:
      European Conference on Computer Vision
    • Year: 2020
    • Citations: 8

Prof Dr. Genggeng Liu | Innovative Leadership | Best Researcher Award |} 2825

Prof Dr. Genggeng Liu | Innovative Leadership | Best Researcher Award

Prof Dr. Genggeng Liu, Fuzhou University, China

🔗 Professional Profiles

🎓 Academic Qualifications

  • Ph.D. in Mathematics and Computer Science, Fuzhou University, China
    Sep. 2009 – Mar. 2015
  • B.S. in Mathematics and Computer Science, Fuzhou University, China
    Sep. 2005 – Jul. 2009

👨‍🏫 Academic Positions

  • Full Professor, College of Computer and Data Science, Fuzhou University
    Sep. 2023 – present
  • Associate Professor, College of Computer and Data Science, Fuzhou University
    May. 2021 – Sep. 2023
  • Associate Professor, College of Mathematics and Computer Science, Fuzhou University
    Jul. 2018 – May. 2021
  • Lecturer, College of Mathematics and Computer Science, Fuzhou University
    Jul. 2015 – Jul. 2018

🏅 Honors & Recognitions

  • Fujian Outstanding Young Scholars
  • Fujian High Level Talents (C-Level)

📚 Selected Publications

  • Fault-Tolerance-Oriented Physical Design for Fully Programmable Valve Array Biochips
    G. G. Liu, Y. H. Zhu, W. Z. Guo, and X. Huang
    Proceedings of ACM/IEEE Design Automation Conference (DAC), 2023, pp. 1-6.
  • Control-Logic Synthesis of Fully Programmable Valve Array Using Reinforcement Learning
    X. Huang, H. Y. Cai, W. Z. Guo, G. G. Liu, T.-Y. Ho, K. Chakrabarty, and U. Schlichtmann
    IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 43, no. 1, pp. 277-290, 2024.
  • Design Automation for Continuous-Flow Microfluidic Biochips: A Comprehensive Review
    G. G. Liu, H. B. Huang, Z. S. Chen, H. X. Lin, H. Liu, X. Huang, and W. Z. Guo
    Integration-the VLSI Journal (INTEGRATION), vol. 82, pp. 48-66, 2022.
  • Adaptive Control-Logic Routing Flow for Fully Programmable Valve Array Using Deep Reinforcement Learning
    H. Y. Cai, G. G. Liu*, W. Z. Guo, Z. P. Li, T.-Y. Ho, and X. Huang
    Asia and South Pacific Design Automation Conference (ASP-DAC), 2024, pp. 564-569.
  • Towards Automated Testing of Multiplexers in Fully Programmable Valve Array Biochips
    G. G. Liu, Y. Q. Zeng, Y. H. Zhu, H. Y. Cai, W. Z. Guo, Z. P. Li, T.-Y. Ho, and X. Huang

Dr. Genggeng Liu is a prominent figure in the field of computer and data science, particularly known for his contributions to the design and automation of microfluidic biochips. His work has significantly advanced fault-tolerant design and control-logic synthesis, employing cutting-edge techniques such as reinforcement learning. Dr. Liu’s research has been recognized through prestigious publications and numerous awards, underscoring his impact on the academic and scientific community.

Publication Top Noted

Paper Title : Multilayer obstacle-avoiding X-architecture Steiner minimal tree construction based on particle swarm optimization

    • Authors: Genggeng Liu, Xing Huang, Wenzhong Guo, Yuzhen Niu, Guolong Chen
    • Journal: IEEE Transactions on Cybernetics
    • Year: 2015
    • Citations : 97

Paper Title : A PSO-based timing-driven Octilinear Steiner tree algorithm for VLSI routing considering bend reduction

    • Authors:Genggeng Liu, Wenzhong Guo, Yuzhen Niu, Guolong Chen, Xing Huang
    • Journal: Soft Computing 
    • Year: 2015
    • Citations:  87

Paper Title : A unified algorithm based on HTS and self-adapting PSO for the construction of octagonal and rectilinear SMT

    • Authors: Genggeng Liu, Zhisheng Chen, Zhen Zhuang, Wenzhong Guo, Guolong Chen
    • Journal: Soft Computing
    • Year: 2020
    • Citations:  85

Paper Title :Obstacle-avoiding algorithm in X-architecture based on discrete particle swarm optimization for VLSI design

    • Authors: He, X.-H., Shi, Y.-Y., Zhou, X.-L., …, Zhang, Z.-K., Huang, Q.-C.
    • Journal: ACM Transactions on Design Automation of Electronic Systems (TODAES)
    • Year: 2015
    • Citations: 70

Paper Title : A hybrid multi-objective PSO algorithm with local search strategy for VLSI partitioning

    • Authors: Wenzhong Guo, Genggeng Liu, Guolong Chen, Shaojun Peng
    • Journal: Frontiers of Computer Science
    • Year: 2014
    • Citations: 58