Assist Prof Dr. Mehtap ATAK | Innovative Leadership | Best Researcher Award

Assist Prof Dr. Mehtap ATAK | Innovative Leadership | Best Researcher Award

Recep Tayyip Erdogan University/Faculty of Medicine/Biochemistry, Rize, Turkey

Profile 

Scopus

🌱 Early Academic Pursuits

Qianwen Zheng’s academic journey is a testament to her passion for excellence in Food Science and Engineering. She began her higher education at Hainan University, where she ranked in the top 1% of her department, achieving a stellar GPA of 3.88/4.00. This accomplishment not only underscored her dedication but also set the stage for her future successes. Her strong foundation enabled her to secure admission to the prestigious South China University of Technology, where she earned her Master’s degree.

Her commitment to academic rigor and her ability to excel in competitive environments became apparent early on. Her transition to China Agricultural University to pursue a Ph.D. in Food Science and Engineering under the mentorship of Professor Xueying Mao marks another milestone in her academic journey. At every stage, her pursuit of knowledge has been guided by a curiosity for solving complex scientific challenges.

🚀 Professional Endeavors

Throughout her career, Qianwen Zheng has been deeply involved in innovative research projects. Her exploration of the hypoglycemic effects of Fucus vesiculosus polysaccharide is a prime example of her ability to link traditional ingredients with modern health solutions.

Her studies in digestion characteristics demonstrate her prowess in blending theoretical frameworks with practical applications. She has adeptly utilized cutting-edge analytical techniques to enhance our understanding of food science. Her professional experiences have solidified her reputation as a meticulous researcher who bridges the gap between science and its societal impact.

📚 Contributions and Research Focus

Qianwen Zheng’s research efforts are focused on functional food components, addressing pressing issues such as metabolic health and dietary optimization. Her studies contribute to the broader goals of improving public health and sustainable food practices.

Her innovative research on the interactions between polysaccharides and human metabolism provides insights into combating diseases such as diabetes. By applying advanced biochemical analyses and experimental methodologies, she has offered practical solutions for improving dietary habits and developing therapeutic foods. These contributions have not only expanded the field of food science but also paved the way for healthier lifestyles.

🏆 Accolades and Recognition

Qianwen Zheng’s dedication has earned her multiple accolades. Notably, she received the Wu Xu Scholarship, a prestigious award that highlights her exceptional academic and research achievements.

These recognitions reflect her unwavering commitment to excellence and serve as motivation to continue pushing the boundaries of food science. Her ability to balance high-level research, rigorous academic pursuits, and impactful outcomes sets her apart in the scientific community.

🌍 Impact and Influence

Qianwen Zheng’s work has far-reaching implications for global health and nutrition. Her studies contribute to solving challenges related to food security, chronic diseases, and sustainable nutrition. By focusing on the interplay between diet and health, she has helped advance the conversation on preventative health care.

Her influence extends beyond her immediate research projects, as she frequently collaborates with fellow scientists and mentors aspiring researchers. This collaborative approach ensures that her knowledge and methods are shared widely, inspiring the next generation of scientists.

✨ Legacy and Future Contributions

Qianwen Zheng’s contributions to food science set the stage for a legacy that combines innovation, collaboration, and education. As she continues her research, she aims to explore novel food components and their role in preventing lifestyle diseases. Her vision for the future involves not only advancing scientific understanding but also ensuring her findings are translated into real-world solutions that benefit communities worldwide.

Her dedication to mentoring young researchers and her commitment to interdisciplinary collaboration ensure that her impact will resonate long after her current projects. Her legacy is one of pioneering solutions that contribute to both the scientific community and society at large.

📝Notable Publications

Handmade Green Tea: Antioxidant Content and Activity

Authors: Atak, M.; Yılmaz Kutlu, E.; Çavuş, D.; Çomoğlu, M.

Journal: Applied Food Research

Year: 2024

Kaempferol Reduces Pyroptosis in Acute Lung Injury by Decreasing ADAM10 Activity Through the NLRP3/GSDMD Pathway

Authors: Yigit, E.; Huner Yigit, M.; Atak, M.; Yildiz, G.; Deger, O.

Journal: Food Bioscience

Year: 2024

Synthetic and Non-Synthetic Inhibition of ADAM10 and ADAM17 Reduces Inflammation and Oxidative Stress in LPS-Induced Acute Kidney Injury in Male and Female Mice

Authors: Atak, M.; Yigit, E.; Huner Yigit, M.; Yilmaz Kutlu, E.; Karabulut, S.

Journal: European Journal of Pharmacology

Year: 2024

Investigation of the Effects of White Tea on Liver Fibrosis: An Experimental Animal Model

Authors: Yılmaz, H.K.; Türker, M.; Kutlu, E.Y.; Tümkaya, L.; Atak, M.

Journal: Food Science and Nutrition

Year: 2024

Long-Term Protective Effects of Lamotrigine in a Rat Ovarian Ischemia-Reperfusion Model

Authors: Aktepe, R.; Ucuncu, Y.; Tumkaya, L.; Uydu, H.A.; Atak, M.

Journal: Tissue and Cell

Year: 2024

Mr. Junpeng Liu | Innovative Leadership | Best Researcher Award | 3349

Mr. Junpeng Liu | Innovative Leadership | Best Researcher Award

Beijing Chaoyang Hospital Affiliated to Capital Medical University, China

Profile 

Scopus

🏫 Early Academic Pursuits

Junpeng Liu began his academic journey with a deep-rooted commitment to medicine, pursuing a Master’s degree in medicine that set the stage for a promising career. With rigorous training and an emphasis on both clinical and research skills, he developed a solid foundation in medical sciences, focusing on areas with substantial clinical relevance. His passion for learning and dedication to medical advancement were evident from the start, driving him to delve into challenging medical issues and actively contribute to the field through his studies and research.

👨‍⚕️ Professional Endeavors

Currently serving as a Resident Physician at Beijing Chaoyang Hospital, affiliated with Capital Medical University, Dr. Liu has proven himself a dedicated medical professional with a keen interest in patient care and research. His clinical practice includes managing complex cases, particularly in the treatment of conditions like multiple myeloma, diabetic foot, and other challenging ailments. By integrating his knowledge of cutting-edge medical techniques and therapies with hands-on clinical experience, he has helped improve patient outcomes in notable ways. His role not only involves direct patient care but also active participation in hospital projects and collaborative research initiatives aimed at advancing the hospital’s mission of providing top-quality healthcare.

🧪 Contributions and Research Focus

Dr. Liu has been at the forefront of various impactful research projects, all of which align with his vision of enhancing medical treatment through innovative approaches. His research portfolio includes five significant projects:

  1. Surgical Treatment of Multiple Myeloma: This project explores surgical solutions for multiple myeloma, focusing on improving quality of life for patients dealing with severe neurological compression.
  2. Prognostic Factors of Multiple Myeloma: Dr. Liu has analyzed factors influencing the prognosis of multiple myeloma, contributing to the understanding of disease progression and potential interventions.
  3. Clinical Applications of Artificial Intelligence (AI): His exploration of AI in clinical settings aims to optimize diagnostics, treatment plans, and patient monitoring. This research is particularly valuable as AI becomes more integrated into healthcare.
  4. Regenerative Mechanisms in Non-Healing Wounds: In response to the persistent challenges of non-healing wounds, Dr. Liu has researched regenerative therapies that could pave the way for enhanced healing solutions.
  5. Clinical Treatment of Diabetic Foot: Given the prevalence of diabetic complications, Dr. Liu’s work on diabetic foot treatments aims to reduce morbidity and improve life quality among diabetic patients.

🏆 Accolades and Recognition

Dr. Liu’s expertise and commitment have not gone unnoticed. He has authored nine high-impact SCI articles as the first author, with a cumulative impact factor of over 25, underscoring his influence in the field. His work has been published in several prestigious journals, with five articles appearing in JCR Q1 journals. Notably, his study on the “Analysis of the efficacy of separation surgery for severe neurological compression in multiple myeloma” was published in the European Spine Journal, a top-ranking journal in its category with an impact factor of 3.1. In addition to his publications, Dr. Liu was invited to present a poster at the AOFAS (American Orthopaedic Foot & Ankle Society) conference, highlighting his research contributions to an international audience.

🌍 Impact and Influence

Dr. Liu’s research has not only expanded knowledge in his specialty areas but has also had a measurable impact, as indicated by a citation index of 27.3. This demonstrates the scientific community’s recognition of the value of his work, particularly in the domains of oncology, regenerative medicine, and artificial intelligence. His research on multiple myeloma and diabetic complications has provided valuable insights for practitioners and researchers alike, potentially influencing treatment guidelines and clinical practices.

🛠️ Legacy and Future Contributions

Looking ahead, Dr. Liu is dedicated to advancing medical science and patient care, particularly in the realms of oncology, artificial intelligence applications in healthcare, and regenerative medicine. His commitment to clinical excellence and research-driven solutions reflects a desire to leave a lasting impact on his field. As he continues his journey, Dr. Liu aspires to refine treatment methodologies for complex diseases, develop innovative approaches to wound care, and contribute to the integration of AI in clinical settings. His future work promises to further bridge the gap between clinical practice and technological advancements, driving forward the standards of healthcare and leaving a legacy for upcoming medical professionals.

📝Notable Publications

 KIAA1429 increases FOXM1 expression through YTHDF1–mediated m6A modification to promote aerobic glycolysis and tumorigenesis in multiple myeloma

Authors: Wu, Y., Luo, Y., Yao, X., … He, Y., Du, X.

Journal: Cell Biology and Toxicology

Year: 2024

 Which factors are associated with adverse prognosis in multiple myeloma patients after surgery? – preliminary establishment and validation of the nomogram

Authors: Liu, J.-P., Xu, Z.-Y., Wu, Y., … Du, X.-R., Yao, X.-C.

Journal: World Journal of Surgical Oncology

Year: 2024

 SIRT5 promotes malignant advancement of chordoma by regulating the desuccinylation of c-myc

Authors: Jiang, M., Huang, Z., Chen, L., … Liu, J., Wu, Y.

Journal: BMC Cancer

Year: 2024

From Novice to Mastery: Learning Curve and Efficacy Analysis of Short-Term Spinal Cord Stimulation for Diabetic Foot Ulcers

Authors: Liu, J.-P., Yao, X.-C., Xu, Z.-Y., … Du, X.-R., Zhao, H.

Journal: World Neurosurgery

Year: 2024

 Correlation between initial alkaline phosphatase levels and overall survival in newly diagnosed multiple myeloma patients

Authors: Tan, J., Liu, J.-P., Yao, X.-C., … Li, M., Du, X.-R.

Journal: Translational Cancer Research

Year: 2024

Dr. Christine Asaju | Innovative Leadership | Women Researcher Award

Dr. Christine Asaju | Innovative Leadership | Women Researcher Award

Tshwane University of Technology, South Africa

Profile 

Google Scholar

🌱 Early Academic Pursuits

Christine Bukola Asaju embarked on her journey in computer science with a solid foundation. She completed her Bachelor of Science in Computer Science (B.Sc.) at the University of Ilorin, Kwara State, Nigeria, in 2002. Her project, “Automating an Inventory System,” demonstrated her early interest in problem-solving through technology, as she applied automation to a case study on the Global Soaps and Detergent Industry. Driven by an enthusiasm for knowledge and understanding, Christine continued her studies, earning a Postgraduate Diploma in Education in 2008 from the University of Ado-Ekiti, Ekiti State, Nigeria. Her project focused on exploring the social and moral impacts of issues like women trafficking, highlighting her awareness of societal concerns and the role of education in addressing them. This interdisciplinary background enriched her perspective and laid the groundwork for her future contributions to e-learning.

👩‍🏫 Professional Endeavors

Christine currently serves in the Department of Computer Science at the Federal Polytechnic, Idah, Kogi State, Nigeria. With a career rooted in academic excellence, she finds fulfillment in sharing her insights with others to foster learning and development in computer science. Her ability to convey complex concepts has not only made her an invaluable educator but also a communicator within the scientific community. As a dedicated faculty member, Christine has taken on the role of a mentor and collaborator, always encouraging students and colleagues alike to expand their understanding and drive innovation within the field.

🔍 Contributions and Research Focus

Christine’s academic journey reached a new pinnacle when she earned her Ph.D. in Computer Science from the University of the Witwatersrand in Johannesburg, South Africa, in 2023. Her doctoral research, “Spatio-Temporal Reasoning for Estimating Student’s Learning Affect: An Approach to Strengthen E-Learning,” delves into using machine learning techniques to enhance online learning experiences by better understanding student emotions and engagement. This innovative work addresses the growing need for effective digital learning platforms that adapt to individual student needs, a key area of focus in modern educational technology. Guided by her advisor, Professor Hima Vadapalli, Christine’s research stands at the intersection of machine learning and education, contributing significantly to the advancement of e-learning methodologies.

In addition, Christine’s Master of Science (M.Sc.) in Computer Science, completed in 2010 at the University of Ilorin, reflects her early inclination toward applied computer science research. Her thesis on “Development of an Automatic Yoruba Speech Recognition System” aimed at improving accessibility and preserving linguistic heritage through technology. This project, supervised by Professor T.S. Ibiyemi, underscores her commitment to applying technological solutions to real-world challenges, particularly those that impact underrepresented communities.

🏆 Accolades and Recognition

Christine’s dedication to academic excellence and impactful research has been recognized by her peers and the broader academic community. She has an ORCID Research ID (0000-0003-2728-6806) and an active profile on Google Scholar, where her work is accessible to a global audience, allowing her contributions to reach researchers, educators, and students worldwide. Christine’s scholarly achievements and her focus on innovative solutions in computer science have made her a respected figure in her field, especially in Africa, where her work on e-learning holds significant relevance.

🌍 Impact and Influence

Christine’s contributions extend beyond research and teaching. She actively seeks to bridge the gap between academia and society, using her knowledge and communication skills to engage with both scientific and general audiences. Her work, particularly in machine learning applications for e-learning, has had a profound impact on improving educational systems by making them more accessible, adaptive, and effective. Her commitment to research has positively influenced the computer science community, inspiring others to pursue impactful work that addresses real-world challenges.

Christine is also a proud advocate for knowledge-sharing and collaboration, which she views as essential for advancing the scientific community. Her teaching philosophy centers on fostering a love of learning and curiosity among her students. By instilling in them the importance of lifelong learning and critical thinking, Christine has created a ripple effect, nurturing future generations of computer scientists who will carry forward her legacy of innovation and dedication to societal betterment.

🌟 Legacy and Future Contributions

Looking ahead, Christine aims to continue making meaningful contributions to the field of computer science, particularly in the areas of machine learning, educational technology, and social impact research. She envisions further research that will not only deepen understanding in these fields but also generate practical solutions for educational institutions worldwide. With a clear focus on tackling emerging societal issues, Christine aspires to explore how advancements in artificial intelligence and machine learning can be harnessed to address diverse challenges in education, such as accessibility, engagement, and personalized learning.

As Christine pursues these goals, her work will undoubtedly leave a lasting impact on the fields of computer science and education. Her journey from an undergraduate student to an accomplished researcher and educator is a testament to her resilience, dedication, and passion for knowledge. Christine Bukola Asaju’s legacy will likely inspire many, proving that with commitment and a focus on meaningful research, one can make substantial contributions that benefit both academia and society at large.

 📝Notable Publications

 A Temporal Approach to Facial Emotion Expression Recognition

Authors: Christine Asaju, Hima Vadapalli
Journal/Conference: Southern African Conference for Artificial Intelligence Research
Year: 2021

Affects Analysis: A Temporal Approach to Estimate Students’ Learning

Authors: Christine Bukola Asaju, Hima Vadapalli
Journal/Conference: 2021 3rd International Multidisciplinary Information Technology and Applications Conference
Year: 2021

Short Message Service (SMS) Spam Detection and Classification Using Naïve Bayes

Authors: Christine Bukola Asaju, E.J. Nkorabon, R.O. Orah
Journal/Conference: Conference Organizing Committee
Year: 2021

Development of a Machine Learning Model for Detecting and Classifying Ransomware

Authors: Christine Bukola Asaju, D. Otoo-Arthur, R.O. Orah, F. Sekyi-Dadson
Journal/Conference: 2021 1st International Conference on Multidisciplinary Engineering and Technology
Year: 2021

 Affect Analysis: A Literature Survey on Student-Specific and General Users’ Affect Analysis

Authors: Christine Asaju, Hima Vadapalli
Journal/Conference: Science and Information Conference
Year: 2024

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