Prof Dr. Siddhartha Mishra | Innovative Leadership | Best Researcher Award

Prof Dr. Siddhartha Mishra | Innovative Leadership | Best Researcher Award

University of Lucknow, Lucknow, India

Profile 

Scopus 

Early Academic Pursuits 📚

Professor Siddhartha Kumar Mishra embarked on his academic journey with a Bachelor’s degree in Biology from D.D.U. Gorakhpur University in 1998. His passion for the life sciences led him to the University of Lucknow, where he completed his Master’s in Biochemistry in 2001. Motivated by a quest for deeper understanding, he pursued a Ph.D. in Biochemistry at the CSIR-Central Institute of Medicinal and Aromatic Plants (CIMAP), Lucknow, awarded by Bundelkhand University, Jhansi in 2009. This period marked the beginning of his distinguished career in biochemical research, setting the foundation for his future contributions to the field.

Professional Endeavors 🔬

Prof. Mishra’s career is a testament to his dedication and expertise in biochemistry and cancer research. He began his professional journey as a Research Associate at the Department of Gastroenterology, G.B. Pant Hospital, New Delhi, in 2008. His academic career took a significant leap when he became a Postdoctoral Researcher at Ajou University, South Korea, in 2010, followed by a role at the National Cancer Center in South Korea in 2011. Returning to India, he served as an Assistant Professor at Dr. Harisingh Gour Central University, Sagar, from 2013 to 2020, and then as an Associate Professor at Chhatrapati Shahu Ji Maharaj University, Kanpur. Since May 2022, he has been a Professor at the University of Lucknow, further advancing his research and teaching in biochemistry.

Contributions and Research Focus 🌟

Prof. Mishra’s research is pivotal in the fields of cancer biology, molecular signaling, and pharmacology. His work extensively covers the anticancer efficacy of natural and synthetic agents and explores innovative drug delivery systems using nanoparticles. With a focus on understanding cancer mechanisms and developing therapeutic strategies, his research contributes to significant advancements in drug delivery and cancer treatment. His academic and research experiences are reflected in his extensive publication record, including 78 articles and 7 book chapters, with notable patents in the USA and Germany.

Accolades and Recognition 🏆

Prof. Mishra’s excellence in research has garnered several prestigious awards and honors. Notably, he received the Best Poster Award at the 107th Indian Science Congress in 2020 and the M.S. Swaminathan Young Botanist Award in 2014. His contributions have been recognized internationally, including the Science Communicator Award by the Indian Science Congress Association in 2014 and the Prof. S.N. Dixit Gold Medal in 2013. These accolades underscore his impact on the scientific community and his role as a leading researcher in biochemistry and cancer biology.

Impact and Influence 🌍

Prof. Mishra’s research has had a profound impact on the scientific understanding of cancer and drug development. His work on the efficacy of natural products and synthetic agents in cancer treatment has opened new avenues for research and therapy. Additionally, his leadership roles in academic and administrative bodies reflect his influence in shaping research and education policies. As a member of various committees and councils, including the Board of Studies and Academic Council at the University of Lucknow, he plays a crucial role in advancing academic standards and research quality.

Legacy and Future Contributions 🌟

Looking ahead, Prof. Mishra is poised to continue his influential work in biochemistry and cancer research. His ongoing projects, including screening for targeted anticancer drugs and investigating novel drug delivery systems, are set to make significant contributions to the field. His legacy is defined by his dedication to advancing scientific knowledge, mentoring the next generation of researchers, and his ongoing commitment to improving therapeutic strategies for chronic diseases. Prof. Mishra’s career is a testament to the transformative impact that dedicated research and innovative thinking can have on science and medicine.

Publications 

Naringenin mitigates nanoparticulate-aluminium induced neuronal degeneration in brain cortex and hippocampus through downregulation of oxidative stress and neuroinflammation

    • Authors: Rai, R., Kalar, P.L., Jat, D., Mishra, S.K.
    • Journal: Neurochemistry International
    • Year: 2024
    • Volume: 178
    • Article Number: 105799

Autonomic neuronal modulations in cardiac arrhythmias: Current concepts and emerging therapies

    • Authors: Rai, R., Singh, V., Ahmad, Z., Jat, D., Mishra, S.K.
    • Journal: Physiology & Behavior
    • Year: 2024
    • Volume: 279
    • Article Number: 114527

 Naringenin mitigates aluminum toxicity-induced learning memory impairments and neurodegeneration through amelioration of oxidative stress

    • Authors: Rai, R., Jat, D., Mishra, S.K.
    • Journal: Journal of Biochemical and Molecular Toxicology
    • Year: 2024
    • Volume: 38(5)
    • Article Number: e23717

Naringenin suppresses aluminum-induced experimental hepato-nephrotoxicity in mice through modulation of oxidative stress and inflammation

    • Authors: Rai, R., Ahmad, Z., Jain, S.K., Jat, D., Mishra, S.K.
    • Journal: Toxicological Research
    • Year: 2024
    • Volume: 40(1)
    • Pages: 97–110

Capsicum annuum L. and its bioactive constituents: A critical review of a traditional culinary spice in terms of its modern pharmacological potentials with toxicological issues

    • Authors: Mandal, S.K., Rath, S.K., Logesh, R., Devkota, H.P., Das, N.
    • Journal: Phytotherapy Research
    • Year: 2023
    • Volume: 37(3)
    • Pages: 965–1002

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

 

Mr. Peiyu Cao | Adaptive Leadership | Best Researcher Award

Mr. Peiyu Cao | Adaptive Leadership | Best Researcher Award

The Affiliated Brain Hospital of Nanjing Medical University, China

Profile 

Google Scholar 

🎓Early Academic Pursuits 

Peiyu Cao’s journey in the field of psychiatry began with a strong academic foundation. Having just received his master’s degree in psychiatry from Nanjing Medical University, Peiyu demonstrated an early dedication to his field. His academic excellence is further highlighted by the prestigious scholarships he has received, including the Jiangsu “Enhua” Psychiatric Scholarship and the Jiangsu “Ruihua” Resident Training Physician Scholarship. These accolades are a testament to his commitment to academic excellence and his potential as a future leader in psychiatric research.

💼Professional Endeavors 

Following his academic achievements, Peiyu Cao has embarked on a path of professional growth and development. Currently, he is involved in ongoing research at the Affiliated Brain Hospital of Nanjing Medical University, where he continues to delve into the complexities of psychiatric disorders. His professional endeavors are marked by a strong focus on medical imaging and machine learning techniques, areas that are crucial for advancing the understanding and treatment of psychiatric conditions. Peiyu’s work is characterized by a blend of theoretical knowledge and practical application, ensuring that his research has real-world implications.

🔬Contributions and Research Focus 

Peiyu Cao’s primary research focus lies in the imaging studies of psychiatric disorders. His recent work has made significant contributions to the field by uncovering local topological abnormalities and differences in brain networks among schizophrenia, bipolar disorder, and depression. By examining the subregional network topology of the limbic system, Peiyu’s research provides valuable insights into the differential diagnosis and pathological understanding of these psychiatric conditions. His findings emphasize the crucial role of the limbic system in the development of mental illnesses, offering a new perspective on the interconnectedness of various psychiatric disorders.

🏆Accolades and Recognition 

Throughout his academic and professional journey, Peiyu Cao has garnered several accolades that highlight his contributions and potential. His receipt of the Jiangsu “Enhua” Psychiatric Scholarship and the Jiangsu “Ruihua” Resident Training Physician Scholarship underscores his academic prowess and dedication to his field. Additionally, his research has been recognized and published in reputable journals, further cementing his reputation as an emerging scholar in psychiatry. These accolades not only acknowledge his past achievements but also serve as a foundation for his future endeavors.

🌍Impact and Influence 

Peiyu Cao’s research has had a significant impact on the field of psychiatry. His studies on the structural connectivity patterns in the subregions of the thalamus, hippocampus, and cingulate cortex have shed light on the differences between schizophrenia and psychotic bipolar disorder. By providing a deeper understanding of these conditions, Peiyu’s work has the potential to influence diagnostic practices and therapeutic approaches. His research on the structural abnormalities in the striatum and globus pallidus in schizophrenia also offers new insights into the different stages of the disease, contributing to a more nuanced understanding of its progression.

🚀Legacy and Future Contributions 

Looking ahead, Peiyu Cao is poised to make even greater contributions to the field of psychiatry. His ongoing research projects continue to explore the intersections of psychiatry, medical imaging, and machine learning, promising new advancements in the understanding and treatment of psychiatric disorders. As he pursues further studies and research, Peiyu is committed to uncovering the underlying mechanisms of mental illnesses and developing innovative solutions to improve patient outcomes. His dedication to his field, coupled with his academic and professional achievements, positions him as a future leader in psychiatric research.

✨Conclusion 

In conclusion, Peiyu Cao’s journey is marked by a relentless pursuit of knowledge and a deep commitment to advancing the field of psychiatry. From his early academic achievements to his current research endeavors, Peiyu has consistently demonstrated excellence and innovation. His contributions to the understanding of psychiatric disorders, particularly through imaging studies, have had a significant impact on the field. With a promising future ahead, Peiyu Cao is well on his way to leaving a lasting legacy in the realm of psychiatric research, contributing to better diagnostic and therapeutic practices that will benefit countless individuals worldwide.

Publications 

Volumes of hippocampal subfields suggest a continuum between schizophrenia, major depressive disorder and bipolar disorder

  • Authors: Peiyu Cao, Congxin Chen, Qi Si, Yuting Li, Fangfang Ren, Chongyang Han, Jingjing Zhao, Xiying Wang, Guoxin Xu, Yuxiu Sui
  • Journal: Frontiers in Psychiatry
  • Year: 2023

Different structural connectivity patterns in the subregions of the thalamus, hippocampus, and cingulate cortex between schizophrenia and psychotic bipolar disorder

  • Authors: Peiyu Cao, Yuting Li, Yingbo Dong, Yilin Tang, Guoxin Xu, Qi Si, Congxin Chen, Ye Yao, Runda Li, Yuxiu Sui
  • Journal: Journal of Affective Disorders
  • Year: 2024

Striatum and globus pallidus structural abnormalities in schizophrenia: A retrospective study of the different stages of the disease

  • Authors: Yilin Tang, Yuting Li, Peiyu Cao, Yingbo Dong, Guoxin Xu, Qi Si, Runda Li, Yuxiu Sui
  • Journal: Progress in Neuro-Psychopharmacology and Biological Psychiatry
  • Year: 2024

Dr. Omar Soufi | Innovative Leadership | Best Researcher Award

Dr. Omar Soufi | Innovative Leadership | Best Researcher Award

Mohammed V University of Rabat Mohammadia School of Engineering, Morocco

🔗 Professional Profiles

🌟 Summary

Dr. Omar Soufi is a seasoned data scientist with a doctorate in computer engineering, specializing in artificial intelligence. He has a wealth of experience in data science, spatial remote sensing, and geographic information systems (GIS), offering exceptional data analysis skills and developing business intelligence solutions to drive organizational advancements and strategic performance.

🎓 Education

  • 2023: Ph.D. in Computer Engineering (Artificial Intelligence) – EMI Rabat
    • Thesis: Deep Learning for Enhancing Satellite Image Quality and Star Sensor Processing
  • 2020: Engineering Degree in Information Systems Engineering – Polytechnique Grenoble, ENSIMAG
  • 2020: Engineering Degree in Software Engineering and Quality – EMI Rabat
  • 2015: Diploma of University Studies – ARM Merkèns
  • 2014: Bachelor’s in Mechanical Engineering – ARM Merkèns
  • 2011: Baccalaureate in Life and Earth Sciences – 1ER LMR

💼 Professional Experience

  • 2024-Present: Head of AI Missions
  • 2022-2023: Head of Geomatics & Decision Support Tools
  • 2020-2021: Head of BI & Decision Support Tools
  • 2017-2019: Team Leader at Decision Support Center
  • 2016: Project Manager at IT Department

🔬 Research Interests

  • Data Science: Advanced data analysis, business intelligence development, trend evolution in AI.
  • Artificial Intelligence: Deep learning applications in satellite image super-resolution and remote sensing.
  • GIS: Development of thematic cartographic applications and spatial data analysis.

📚 Academic Projects

  • E-learning platform development
  • Big Data architecture implementation
  • Pedagogical resource recommendation system
  • Web application for data visualization and processing
  • Distributed system for streaming data processing

🌐 Languages

  • Arabic, French, English, Spanish

📜 Certifications

  • IA, DL, ML from A to Z
  • Power BI Data Analyst Associate
  • QlikSense Data Analytics
  • Scientific Python
  • Google Data ML

Professional Skills

  • Programming: Python, R, JavaScript, C, Java, Scala
  • Web Technologies: HTML, CSS, PHP, JEE, APIs
  • Databases: SQL, NoSQL
  • Deep Learning: Scikit-learn, OpenCV, Keras, TensorFlow
  • Big Data: Hadoop, Spark, Elasticsearch, Kafka
  • GIS: QGIS, ArcGIS, GeoServer
  • Project Management: Agile methodologies, UML, Merise, Scrum

Dr. Soufi’s extensive expertise and proactive approach position him as a leading figure in leveraging AI and data science for strategic innovation and operational excellence.

Notable Publications

Paper Tittle: Benchmark of deep learning models for single image super-resolution (SISR)
  • Author: Omar Soufi, Zineb Aarab, Fatima-Zahra Belouadha
  • Year: 2022
  • Citations: 9
Paper Tittle: Study of Deep Learning-based models for Single Image Super-Resolution
  • Author: Omar Soufi, Fatima-Zahra Belouadha
  • Journal: Revue d’Intelligence Artificielle
  • Year: 2022
  • Citations: 4
Paper Tittle: Deep learning technique for image satellite processing
  • Author: Omar Soufi, Fatima-zahra Belouadha
  • Journal: Intelligent Methods In Engineering Sciences
  • Year: 2023
  • Citations: 2
Paper Tittle: Enhancing Accessibility to High-Resolution Satellite Imagery: A Novel Deep Learning-Based Super-Resolution Approach
  • Author: Omar Soufi, Fatima Zahra Belouadha
  • Journal: Journal of Environmental Treatment Techniques
  • Year: 2023
  • Citations: 1
Paper Tittle: FSRSI: New Deep Learning-Based Approach for Super-Resolution of Multispectral Satellite Images
  • Author: Omar Soufi, Fatima Zahra Belouadha
  • Journal: Ingenierie des Systemes d’Information
  • Year: 2023
  • Citations: 1

Assist Prof Dr. ilknur zeren cetin | Innovative Leadership | Excellence in Research

Assist Prof Dr. ilknur zeren cetin | Innovative Leadership | Excellence in Research

Ondokuz Mayıs University, Faculty of Architecture, Department of Urban and Regional Planning, Turkey

🔗 Professional Profiles

Summary

Dr. Ilknur Zeren Cetin is an Assistant Professor specializing in urban and regional planning at Ondokuz Mayıs University. With a focus on sustainable forestry and bioclimatic comfort, she brings a wealth of knowledge and expertise to her field. 🌳🏙️

Education 🎓

  • Doctorate: Sustainable Forestry and Land Use Change’s Impact on Bioclimatic Comfort, Bartin University, 2023
  • Postgraduate: Bioclimatic Comfort Evaluation of Trabzon Province, Kastamonu University, 2019

Professional Experience 👩‍🏫

  • Assistant Professor: Ondokuz Mayıs University, Department of Urban and Regional Planning (2024 – Present)

Research Interests 🔬

  • Sustainable Forestry
  • Bioclimatic Comfort
  • Urban and Regional Planning

Certificates, Courses, and Trainings 📜

  • Occupational Health and Safety (2023, 2022)
  • Measurement and Evaluation (2023)
  • Commercial Drone Pilot License (2019)
  • Geographic Information Systems (2017)
  • Netcad Certification (2010)

Foreign Languages 🌐

  • English: C2 Mastery

Notable Publications

Paper Tittle: A study on the determination of the natural park’s sustainable tourism potential
  • Author:  Mehmet Cetin, Ilknur Zeren, Hakan Sevik, Cansel Cakir, Huseyin Akpinar
  • Journal: Environmental monitoring and assessment
  • Year: 2018
  • Citations: 191
Paper Tittle: Changes in heavy metal accumulation in some edible landscape plants depending on traffic density
  • Author: Hakan Sevik, Mehmet Cetin, Halil Baris Ozel, Senem Ozel, Ilknur Zeren Cetin
  • Journal: Environmental monitoring and assessment
  • Year: 2020
  • Citations: 141
Paper Tittle: Analyzing of usability of tree-rings as biomonitors for monitoring heavy metal accumulation in the atmosphere in urban area: a case study of cedar tree (Cedrus sp.)
  • Author: Hakan Sevik, Mehmet Cetin, Halil Baris Ozel, Hatice Akarsu, Ilknur Zeren Cetin
  • Journal: Environmental monitoring and assessment
  • Year: 2020
  • Citations: 114
Paper Tittle: Determination of Pb and Mg accumulation in some of the landscape plants in shrub forms
  • Author: Hakan Sevik, Mehmet Cetin, Handan Ucun Ozel, Halil Baris Ozel, Mansour Mossi Mohammed Mossi, Ilknur Zeren Cetin
  • Journal: Environmental Science and Pollution Research
  • Year: 2020
  • Citations: 111
Paper Tittle: Determination and mapping of regional change of Pb and Cr pollution in Ankara city center
  • Author: Mehmet Cetin, Akram Mohamed Omar Aljama, Osama B Muragaa Alrabiti, Fatih Adiguzel, Hakan Sevik, Ilknur Zeren Cetin
  • Journal: Water, Air, & Soil Pollution
  • Year: 2022
  • Citations:103

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