Yanqiu Song – Defense Economics -Best Researcher Award

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Yanqiu Song – Defense Economics -Best Researcher Award

Ms. Yanqiu song distinguished academic and researcher in the field Defense Economics.

🌐 Professional Profile

Educations📚📚📚

She is currently pursuing a Ph.D. in Defense Economics at the Central University of Finance and Economics, where she has been enrolled since September 2021 and is expected to graduate in June 2025. Her major courses include Advanced Microeconomics, Advanced Macroeconomics, and Advanced Econometrics. Prior to this, she completed her Master’s in Regional Economics at the Party School of the Central Committee of the CPC from September 2018 to July 2021, with her graduation thesis focused on the optimal allocation of state-owned assets based on high-quality regional development. She also holds a Bachelor’s degree in International Economics and Trade from Northeastern University, where she studied from October 2014 to June 2018 and wrote her graduation thesis on an empirical study of the impact of northeast China’s opening to the outside world on economic development.

Experience

From November 2021 to May 2023, she participated in a project at the Institute of Defense Economics and Management at the Central University of Finance and Economics (CUFE). As part of this project, she co-authored a paper titled “The role of gold in terrorism: Risk aversion or financing source?” published in Resources Policy in 2024. This research was supported by the “Interdisciplinary of Strategic Economy and Military Integration” of Advanced Disciplines in Beijing Higher Education (Grant No. GJJ2019163-RCPY2021). Earlier, from April to June 2021, she worked as a government affairs intern at Beijing Chaoyang International Technology Innovation Service Co., LTD. There, she was responsible for coordinating with the Comprehensive Department of the Beijing Chaoyang District Development and Reform Commission on the “Urban Economic Brain” exhibition plan. Her role involved communicating design, maintenance, and update plans for the economic information system, database, and data sharing and analysis platform, contributing to the construction of the “urban smart brain” in Chaoyang District.

From November 2019 to September 2020, she served as a research assistant in the Enterprise Planning and Management Department at China Construction Fangcheng Investment & Development Group Co., LTD. She was selected by CCPS and the New Urbanization Research Group of China Construction Group to participate in the benchmarking research of smart cities and enterprises. During this period, she published a paper titled “Non-technical Analysis of ‘Smart City’ Construction — Taking Tianjin Tanggu Bay Project of China Construction Equation as an Example” in Business Culture in 2020. Additionally, from November 2016 to June 2017, she worked as a student assistant at the China Academy of Northeast Revitalization, Northeastern University (NEU). She contributed to a cooperation project between CANR and the China (Hainan) Reform and Development Research Institute, focusing on the evaluation of the comprehensive revitalization of the Northeast old industrial base, and was responsible for data collection and report writing for the 2016 Evaluation Report on the Process of Comprehensive Revitalization of Northeast Old Industrial Base, published by Economic Management Press.

Awards

She has received several honors and awards throughout her academic journey. In June 2021, she was recognized as an Excellent Graduate Student by the Party School of the Central Committee of the CPC. In November 2018, she won the First Prize of the Academic Scholarship for Freshmen at the Party School of the Central Committee of the CPC. Earlier, in December 2016, she was named an Outstanding Individual in Social Practice by Northeastern University. Additionally, in July 2016, she was honored as an excellent trainee of the Overseas Economic Management Scholar Training Camp at Northeastern University.

📝🔬Publications📝🔬

  • The role of gold in terrorism: Risk aversion or financing source?

    Resources Policy
    2024-07-01 | Journal article | Author
    DOI: 10.1016/j.resourpol.2024.105201
    Part of ISSN: 0301-4207
    CONTRIBUTORS: Yu Song; Yanqiu Song; Shiwei Chang; Lele He

Chien-Hua Tsai – Information Security -Best Researcher Award

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Prof. Dr. Chien-Hua Tsai – Information Security -Best Researcher Award

Chien – Hua Tsai  distinguished academic and researcher in the field Information System.

🌐 Professional Profile

Educations📚📚📚

He is currently a Full Professor in the Department of Accounting Information at Chihlee University of Technology, Taiwan. He earned his Ph.D. in Electrical Engineering and Computer Science from Case Western Reserve University, Ohio, USA in 2000. In 2007, he obtained a professional certificate in Information Security, specifically Certified Ethical Hacker (CEH), from EC-Council (membership ID ECC921640). He offers extensive consulting services on network management practices and has engaged with numerous clients in this capacity.

Journals Published 

Blockchain: Research and Applications, Annals of Operations Research, Information Systems and e-Business Management, The International Arab Journal of Information Technology, Security and Communication Networks, Computers and Electrical Engineering, KSII Transactions on Internet and Information Systems, Journal of Internet Technology

Areas of Research:

Prof. Tsai’s research interests include Information SystemsSecurity, Secure Communication Protocols, Public Key Cryptosystems,Electronic Transaction Security in Computer and Network Security, and Blockchain Technology Applications in Businesses

📝🔬Publications📝🔬

  • A Secure and Efficient Blockchain-Powered Scheme for e-Invoicing Application

    Blockchain: Research and Applications
    2024-07 | Journal article
    DOI: 10.1016/j.bcra.2024.100219
    CONTRIBUTORS: Hsiu-Li Lee; Chien-Hua Tsai

  • Supply chain financing scheme based on blockchain technology from a business application perspective

    Annals of Operations Research
    2023-01 | Journal article
    DOI: 10.1007/s10479-022-05033-3
    CONTRIBUTORS: Chien-Hua Tsai

  • A Robust Secure Self-Certified Concurrent Signature Scheme from Bilinear Pairings

    The International Arab Journal of Information Technology
    2021 | Journal article
    DOI: 10.34028/18/4/6
    Part ofISSN: 2309-4524
    CONTRIBUTORS: Chien-Hua Tsai; Pin-Chang Su

  • The application of multi-server authentication scheme in internet banking transaction environments

    Information Systems and e-Business Management
    2021-03-13 | Journal article
    DOI: 10.1007/s10257-020-00481-5
    CONTRIBUTORS: Chien-Hua Tsai; Pin-Chang Su

Mian Ibad Ali Shah -Multi-agent systems -Best Researcher Award

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Mian Ibad Ali Shah -Multi-agent systems -Best Researcher Award

Mr. Main Ibad Ali Shah  distinguished academic and researcher in the field Multi- Agent System. 

🌐 Professional Profile

Educations📚📚📚

He is currently pursuing a Ph.D. in Computer Science with a focus on Reinforcement Learning and AI at the University of Galway, Ireland, which he began in 2022. Prior to this, he earned a Master of Science in Computer Systems Engineering with a specialization in Data Science from the University of Engineering & Technology, Peshawar, Pakistan, between 2018 and 2020. He also holds a Bachelor of Science in Computer Systems Engineering from the same university, completed between 2014 and 2018. His academic journey began with an F.Sc. in Pre-Engineering from Edwards College Peshawar, Pakistan, from 2012 to 2014, and he completed his Matriculation at Edwards College School Peshawar, Pakistan, between 2010 and 2012.

 Experience:

He is currently serving as a Lab Engineer in the Department of Computer Systems Engineering at the University of Engineering & Technology Peshawar, Pakistan, a role he has held since September 2019. In this capacity, he teaches courses in Data Analytics & Business Intelligence, covering Statistics, Machine Learning, and Deep Learning, as well as Web Engineering. He ensures the practical implementation of case studies using tools and languages such as MS Excel, Tableau, R, Python, and MySQL. Previously, he worked as a Project Engineer at the US-Pakistan Center for Advanced Studies in Energy UET Peshawar, in collaboration with the Pakistan Air Force, from August 2018 to June 2019. There, he led a team in condition monitoring and predictive maintenance of an aircraft using machine learning, conducting data analysis and literature review to identify key variables and develop predictive maintenance techniques. From September 2017 to July 2018, he was an Undergraduate Researcher at the US-Pakistan Center for Advanced Studies in Energy, in collaboration with USAID and Arizona State University, where he led the development of a socio-technical model for distributed sustainable green energy power plants, creating a database and conducting data analysis following social and technical surveys in Pakistan. Additionally, he has gained diverse work experience, including roles as a Visiting Lecturer/Instructor at the Institute of Management Sciences Peshawar, teaching Data Analytics & Business Intelligence with hands-on case studies, and as a Trainer/Instructor at the University of Galway for Computer Programming courses for young students, along with serving as a Graduate Teaching Assistant for undergraduate programming courses. He has also served as a Program Coordinator/Trainer for the National Vocational & Technical Training Commission of Pakistan, managing a program and providing training on Cloud Computing, civic sense, entrepreneurial and soft skills. Furthermore, he has experience in entrepreneurship, having owned and managed Thali Spot Restaurant in Peshawar, Pakistan. His organizational and management skills are demonstrated through his roles as Director of the Literary & Debating Society, PR Executive of the Computer Society at the University of Engineering & Technology Peshawar, and as an Ambassador and Volunteer for the Office of the Local Government in Khyber Pakhtunkhwa Province.

Trainings, Certifications & Conferences

He has earned an IBM Data Engineering Professional Certificate in 2023 and completed the Advanced Business Analytics Specialization on Coursera. He is also a Huawei Certified ICT Associate in AI (HCIA-AI). In 2019, he completed both “The Business Intelligence Analyst Course” and “The Data Science Course 2019 Complete Data Science Bootcamp” on Udemy. He has participated in several conferences, attending the International Conference on Sustainable Energy on September 12-13, 2017, and the 5th International Conference on Energy, Environment, and Sustainable Development in November 2018 as an author. Additionally, he attended the International Science-Policy Conference on Climate Change in Pakistan in 2018. He has furthered his expertise by attending a workshop on “Fundamentals of Deep Learning for Computer Vision” by the NVIDIA Deep Learning Institute. His training credentials include Cisco Certified Network Associate certifications in both Routing & Switching and Security. Moreover, he arranged and attended a hands-on workshop on developments in Reach JS.

Awards

He has been awarded a fully funded Ph.D. scholarship by Science Foundation Ireland for the EIRE AIAI Project, spanning from 2022 to 2026. His academic and research efforts were recognized when he secured the second runner-up position in the Project Poster Competition at the International Conference on Sustainable Energy Technologies held on September 12-13, 2017, in Islamabad, highlighting the concept and quality of his research. He received a grant of 2 million PKR from the Government of KP Pakistan’s Youth Impact Challenge for his startup initiative. Additionally, he achieved runner-up positions in Speed Programming competitions at the I.T Fiesta’15 at UET Peshawar and Code Crunch’16 at IMSciences Peshawar.

Notable Projects

He has undertaken several notable projects, utilizing a diverse set of skills and technologies. His COVID-19 analysis project involved the use of descriptive, predictive, and prescriptive statistics and data analytics, employing tools such as Python, Tableau, Power BI, and Excel. For fault prognostics of hydro power projects, he applied data analytics and machine learning using Python, R, Tableau, and Excel. He worked on condition monitoring and predictive maintenance of a jet aircraft using machine learning techniques with R, Stata, Excel, MATLAB, and Python. He developed a socio-technical mathematical model for sustainable distributed green energy using R, Tableau, and MS Access. In his analysis of the Peshawar Development Authority’s Driver and Road Assessment Project, he compared the architecture, efficiency, ease, and cost of cloud versus on-premise solutions using Amazon Web Services for IoT and data analytics. He also set up and configured a Cisco networking lab in the Department of Computer Systems Engineering at UET Peshawar using Cisco networking technologies. He configured a Linux server for Tesla K40 to apply protein alignment algorithms and data compression (JPEG) on the GPU, utilizing CUDA and Ansible. Additionally, he simulated system process handling on a multicore processor and developed a programming syntax compiler using C language. He created a first-person shooter game with Unity and C#, and completed multiple embedded systems and IoT projects with microcontrollers. Lastly, he developed and designed websites using DBMS, CMS, HTML, CSS, and PHP.

📝🔬Publications📝🔬

Mazen Juratli- Medicine- Outstanding Scientist Award

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Mazen Juratli- Medicine- Outstanding Scientist Award

Prof. Mazen Juratli distinguished academic and researcher in the field Medicine. He is a dedicated and accomplished Assistant Professor and Senior Consultant Surgeon with a strong background in General, Visceral, and Transplant Surgery, specializing in upper GI tumors, reflux surgery, and peritoneal carcinomatosis. His experience encompasses both the clinical and research facets of surgical oncology, demonstrating a steadfast dedication to advancing medical science and enhancing patient care. He is actively pursuing opportunities to make substantial contributions to the field of surgery and academic medicine, particularly in the realm of Upper GI and peritoneal carcinomatosis surgery, along with related areas.

🌐 Professional Profile

Educations📚📚📚

He earned his Ph.D. in Interdisciplinary Biomedical Science (IBS) from the Arkansas Nanomedicine Center at the University of Arkansas for Medical Sciences (UAMS) in Little Rock, AR, USA, completing his studies between January 2012 and May 2014. Prior to that, he attended medical school at Philipps University in Marburg, Germany, from October 2003 to November 2009.

 Experience:

He is currently an Assistant Professor and Senior Consultant Surgeon at the University Hospital of Muenster in Muenster, Germany, within the Department of Generalhttps://networkscience-conferences.researchw.com/?p=33910&preview=true, Visceral, and Transplant Surgery. He specializes as an Upper Gastrointestinal (GI) Surgeon, adept in robotic, minimally invasive, and open surgeries. Additionally, he heads the Stomach Cancer and Peritoneal Carcinomatosis Surgical Center, serves as Deputy Head of the Esophagus Cancer Center, and leads the Surgical Biobank. He is also the Principal Investigator (PI) for the Liquid Biopsy Research Group. His licensure and certifications include being a Senior Explant Surgeon for Donor Surgery: Liver and Kidney (since October 2023) and a Certified Center Surgeon for the Upper GI Tract (since January 2023). He is a member of the Board of Directors of the Interdisciplinary Working Group for Clinical Hemotherapy (IAKH e.V.) and holds an additional qualification in Specialized Visceral Surgery (Zusatzbezeichnung Spezielle Viszeralchirurgie) from the Ärztekammer Westfalen-Lippe, Germany, since September 2022. He became a Fellow of the European Board of Surgery (F.E.B.S.) in Surgical Oncology in September 2022 and has been an Assistant Professor (Privatdozent Dr. med. habil.) since January 2021. He has served as a Senior Consultant Surgeon (Oberarzt) in the Department of General, Visceral, and Transplant Surgery at the University Hospital of Muenster since September 2020. He obtained his German Board Certification in Visceral Surgery – Consultant Surgeon (Facharzt) from the Ärztekammer Hessen, Germany, in June 2019. He earned his Ph.D. from the University of Arkansas for Medical Sciences (UAMS) in Little Rock, AR, USA, in December 2014 and his Doctor of Medicine (Dr. med.) from Philipps University in Marburg, Germany, in December 2009, where he also obtained his German Federal License (Approbation) in November 2009.

Awards, Grants and Honors

He has received numerous awards, grants, and honors throughout his career. In 2024, he secured industrial grant funding from Johnson & Johnson for a project on surgical smoke exposure investigation in surgical safety, amounting to €169,681, and also received the German Society for General and Visceral Surgery (DGAV) Travel Award, valued at €5000. He earned abstract prizes for his pilot studies on diagnostic and prognostic tumor markers in adenocarcinomas of the gastroesophageal junction and extracellular vesicles as potential biomarkers for hepatocellular carcinoma, presented at Visceral Medicine 2023 in Hamburg and NRW-Visceral Medicine 2023 in Essen, each prize valued at €500. In 2022, he won another abstract prize for his work on the long-term effects of liver resection on circulating stem cells in hepatocellular carcinoma, presented at Visceral Medicine in Hamburg. He was recognized as a Medical Scientist by the Else Kröner-Forschungskolleg (EKFK) in 2018 and received a grant of €15,000 from the B. Braun-Stiftung the same year. In 2017, he was awarded €66,000 for young talent promotion by Frankfurt Research Promotion at Goethe University, Frankfurt am Main, Germany. His achievements also include the Frankfurt Research Prize of the Rudolf Geißendörfer Foundation in 2015, valued at €5,000, and a poster prize at the 19 Chirurgische Forschungstage in Würzburg, Germany, in 2015, valued at €500. He received the second prize for the Cancers Best Paper Award in 2015 and the German Academic International Network (GAIN) Travel Award to attend the 18th European Career Fair (ECF) in Boston, MA, USA, in 2014, valued at €2,000. He was honored with the People’s Choice award for Science as Art at the Nanotechnology for Health Care Conference in Petit Jean, AR, USA, in 2014. Additionally, he was granted $78,000 by the Arkansas Breast Cancer Research Program (ABCRP) in 2013 and received €50,000 from the DFG – German Research Foundation in 2012.

 

📝🔬Publications📝🔬

  • Jens Hoelzen, Lukas Fortmann, Dhruvajyoti Roy, Carsten Szardenings, Martina Holstein, Ann-Kathrin Eichelmann,Emile Rijcken,Brooke E. Frankauer, Peter Barth, Eva Wardelmann, Andreas Pascher, and Mazen A. Juratli. Robotic-Assisted Esophagectomy with Total Mesoesophageal Excision EnhancesR0-Resection in Patients with Esophageal Cancer – a single-center experience. Surgery 05/2024. In Press
  • Lamberty SA, Hoelzen JP, Katou S, Becker F, Juratli MA, Andreou A, Morgül MH, Pascher A, Strücker B. Validation of the IWATE Criteria in Robotic-Assisted Liver Resections. J Clin Med. 2024 May 3;13(9):2697. doi: 10.3390/jcm13092697. PMID: 38731226; PMCID: PMC11084793.
  • Juratli, M.A., Pollmann, N.S., Oppermann, E. et al. Extracellular vesicles as potential biomarkers for diagnosis and recurrence detection of hepatocellular carcinoma. Sci Rep 14, 5322 (2024). https://doi.org/10.1038/s41598-024-55888-8.
  • Diedrich AM, Daneshgar A, Tang P, Klein O, Mohr A, Onwuegbuchulam OA, von Rueden S, Menck K, Bleckmann A, Juratli MA, Becker F, Sauer IM, Hillebrandt KH, Pascher A, Struecker B. Proteomic analysis of decellularized mice liver and kidney extracellular matrices. J Biol Eng. 2024 Feb 22;18(1):17. doi: 10.1186/s13036-024-00413-8. PMID: 38389090; PMCID: PMC10885605
  • de Jongh C, Cianchi F, Kinoshita T, Kingma F, Piccoli M, Dubecz A, Kouwenhoven E, van Det M, Mala T, Coratti A, Ubiali P, Turner P, Kish P, Borghi F, Immanuel A, Nilsson M, Rouvelas I, Hӧlzen JP, Rouanet P, Saint-Marc O, Dussart D, Patriti A, Bazzocchi F, van Etten B, Haveman JW, DePrizio M, Sabino F, Viola M, Berlth F, Grimminger PP, Roviello F, van Hillegersberg R, Ruurda J; UGIRA Collaborative Group. Surgical Techniques and Related Perioperative Outcomes After Robot-assisted Minimally Invasive Gastrectomy (RAMIG): Results From the Prospective Multicenter International Ugira Gastric Registry. Ann Surg. 2023 Nov 3. doi: 10.1097/SLA.0000000000006147. Epub ahead of print. PMID: 37922237.
  • Hoelzen JP, Frankauer BE, Szardenings C, Roy D, Pollmann L, Fortmann L, Merten J, Rijcken E, Juratli MA, Pascher A. Reducing the Risks of Esophagectomies: A Retrospective Comparison of Hybrid versus Full-Robotic-Assisted Minimally Invasive Esophagectomy (RAMIE) Approaches. J Clin Med. 2023 Sep 7;12(18):5823. doi: 10.3390/jcm12185823. PMID: 37762765; PMCID: PMC10531670.Two senior authors
  • Peters AK, Juratli MA, Roy D, Merten J, Fortmann L, Pascher A, Hoelzen JP. Factors Influencing Postoperative Complications Following Minimally Invasive Ivor Lewis Esophagectomy: A Retrospective Cohort Study. J Clin Med. 2023 Aug 31;12(17):5688. doi: 10.3390/jcm12175688. PMID: 37685756; PMCID: PMC10488704.Contributed equally to the study
  • Mohr A, Besser M, Broichhausen S, Winter M, Bungert AD, Strücker B, Juratli MA,Pascher A, Becker F. The Influence of Apremilast-Induced Macrophage Polarization on Intestinal Wound Healing. J Clin Med. 2023 May 9;12(10):3359. doi: 10.3390/jcm12103359. PMID: 37240465; PMCID: PMC10219563

Liwei Deng- Autonomous Driving- Best Researcher Award

Published on by Network Science

Liwei Deng- Autonomous Driving-Best Researcher Award

Prof. Liwei Deng distinguished academic and researcher in the field Autonomous Driving. 

🌐 Professional Profile

Educations📚📚📚

He holds a Ph.D. in Control Science and Engineering from the Harbin Institute of Technology, Harbin, China, which he earned in 2014. His dissertation focused on “Control Theory and Its Applications of Fractional Order Sliding Mode” under the supervision of Professor Shenmin Song. Prior to this, he completed a Master of Science in Control Theory and Control Engineering at Harbin University of Science and Technology in 2010, where his thesis was titled “Pressure Data Acquisition and Control System Based on ARM,” supervised by Professor Junshan Gao. He began his academic journey with a Bachelor of Engineering in Automation from Jiamusi University, Jiamusi, China, graduating in 2007.

 Experience:

He began his academic career as a Lecturer in the School of Automation at Harbin University of Science and Technology, serving from October 2014 to August 2018. Following this, he was promoted to Associate Professor within the same school, a role he held from August 2018 to August 2023. In September 2023, he was further promoted to the position of Professor at the School of Automation. Additionally, since May 2023, he has been serving as a Doctoral Supervisor in the School of Computer Science and Technology at Harbin University of Science and Technology.

Projects 

He has been actively involved in various research projects over the years. From 2021 to 2024, he led the Key R&D Program Guidance Projects of Heilongjiang Province (Grant No. GZ20210065), focusing on the development of intelligent winding equipment for hydrogen cylinders based on robots. As the Principal Investigator for the National Science Foundation for Young Scientists of China (Grant No. 61806060) from 2019 to 2021, he researched diabetic retinal image analysis algorithms using fractional order differential and deep learning. During the same period, he also served as Principal Investigator for a project funded by the Natural Science Foundation of Heilongjiang Province, China, which focused on the key technology of defect detection of wind turbine blades based on images taken by unmanned aerial vehicles. From 2017 to 2020, he was the Principal Investigator for the Harbin Program of Science and Technology (Grant No. 2017RAQXJ006), which aimed to develop key technologies for the automatic production line for rubber bridge bearing members. Additionally, he played significant roles in several other projects, including being a Principal Participant in the National Natural Science Foundation of China project (Grant No. 61174037) on distributed motion autonomous coordination control of on-orbit multi-spacecraft expectation mode (2011-2015), a Participant in the State Key Program of National Natural Science of China (Grant No. 61333003) on coordination control technology for networked satellite clusters (2012-2016), and a Principal Participant in a project funded by the Natural Science Foundation of Heilongjiang Province, China (Grant No. F030101) on the dynamic morphology of hyperchaotic attractors (2013-2016).

📝🔬Publications📝🔬

    • Deng, L., Zou, Y., Yang, X. et al. L2NLF: a novel linear-to-nonlinear framework for multi-modal medical image registration[J]. Biomed. Eng. Lett.(2024).（WOS:001139763600001）
    • Deng, L., Lan, Q., Zhi, Q. et al. Deep learning-based 3D brain multimodal medical image registration[J]. Med Biol EngComput .2024,62: 505–（WOS:001098686900001）
    • Biao Zhang, Sheng Wang, Liwei Deng, et al.Ship motion attitude prediction model based on IWOA-TCN-Attention[J].Ocean Engineering,2023,272:113911
    • Liwei Deng, Henan Sun, Jing Wang, et al.A Novel Unsupervised MRI Synthetic CT Image Generation Framework with Registration Network[J].CMC-Computers, Materials & Continua,2023,77(2):2271–（WOS:0011269599000 24）
    • Liwei Deng, Zhen Liu,Jiandong Wang et al.ATT-YOLOv5-Ghost: Water surface object detection in complex scenes[J].Journal of Real-Time Image Processing,2023,20:97.（WOS:001050358900001）
    • LiweiDeng,ShanshanLiu,WeiShi,et al.Defect Detection and Classification of Offshore Wind Turbine Rotor Blades[J].Nondestructive Testing and Evaluation,2023.（WOS:001025791800001）
    • Yuheng Yin, Yangang Guo, Liwei Deng, et al.Improved Pspnet-Based Water Shoreline Detection in Complex Inland River Scenarios[J]. Complex & Intelligent Systems, 2022,9(1): 233-245.（WOS:000816995100001）
    • Liwei Deng, Yue Wang, Qi Lan,etal.Remote sensing image building change detection based on efficient-UNet++[J].Journal of Applied Remote Sensing,2023,17(3):034501.（WOS:00177860300006）
    • Liwei Deng, He Cao,QingboDong,etal.Semi-Supervised Lane Detection for Continuous Traffic Scenes[J].Traffic Injury Prevention.2023,24(6):452-457.（WOS:001008469300001）
    • Liwei Deng, Yanchao Zou, SijuanHuang,et al. Deformable 3D Medical Image Registration with ConvolutionalNeural Network and Transformer[J].Journal of Instrumentation.2023,(18):P04029（WOS:000986658100 001）
    • Rui Zhang, Cong Xie, Liwei Deng. A Fine-Grained Object Detection Model for Aerial Images Based on Yolov5 Deep Neural Network[J]. Chinese Journal of Electronics, 2023, 32(1): 51-63.（WOS:000932261100001）
    • Liwei Deng, Yufei Ji, Sijuan Huang, et al.Synthetic CT generation from CBCT using Double-Chain-CycleGAN[J].Computers in Biology and Medicine.2023,106889.（WOS:001006917800001）
    • Liwei Deng, JiandongWang, Zhen Liu. Cascaded Network Based on EfficientNet and Transformer for Deepfake Video Detection[J].Neural Processing Letters.2023.（WOS:000961765200002）
    • Liwei Deng, QiangZhi, Sijuan Huang, et al. A Deformable Patch-based Transformer for 3D Medical Image Registration[J].International Journal of Computer Assisted Radiology and Surgery.2023.（WOS:000990481800001）
    • Liwei Deng, Yuanzhi Zhang, Xin Yang, et al. Meta-learning Multi-scale Radiology Medical Image Superresolution[J].CMC-Computers, Materials & Continua.2023,75(2) :2671-2684.（WOS:000980836000018）
    • Liwei Deng, Yuanzhi Zhang, Jing Wang, et al. Improving Performance of Medical Image Alignment through Super-resolution[J].Biomedical Engineering Letters.2023.（WOS:000934806000001）
    • LiweiDeng ,Mingxing Zhang , JingWang, et al.Improving Cone-Beam Ct Quality Using a Cycle-Residual Connection with a Dilated Convolution-Consistent Generative Adversarial Network[J]. Physics in Medicine & Biology, 2022,67(14): 145010.（WOS:000822102200001）
    • Liwei Deng, Jie Hu, Jing Wang, et al.Synthetic CT Generation Based on CBCT Using Respath-cycleGAN[J]. Medical Physics, 2022,49(8): 5317-5329.（WOS:000792418600001）
    • Zhe Yan, Shuchun Chu, Liwei Deng. Visual SLAM Based on Instance Segmentation in Dynamic Scenes[J]. Measurement Science and Technology.2021,32(9):095113.（WOS:000662668300001）

    Conference Papers

    • Liwei Deng*, Yuanzhi Zhang, Xiaofei Wang. High-definition Processing of Remote Sensing Images Based on CUT-CycleGAN[C], The 40th Chinese Control Conference, CCC 2021.( EI：20214311045982).
    • Liwei Deng*, YueWang, Jing Han. Optical Disc Location Based on Similarity toImproved Harris Algorithm[C], The 40th Chinese Control Conference, CCC 2021.( EI：20214311046402).
    • Liwei Deng*, Hongfei Suo, Haonan Ren. Research on Tension Control System of Winding Machine Based on Fuzzy PID Algorithm[C], The 40th Chinese Control Conference, CCC 2021.( EI：20214311045650).
    • Yuheng Yin, Yangang Guo, Liwei Deng*. Research on Image Processing Application of Improved Adaptive Filter Based on LPSO Algorithm[C], The 40th Chinese Control Conference, CCC 2021.( EI：20214311045948).
    • Yanshu Jiang, Mingqi Jia, Biao Zhang, Liwei Deng. Malicious Domain Name Detection Model Based on CNN-GRU-Attention[C], The 33rd Chinese Control and Decision Conference, CCDC 2021.
    • Liwei Deng, Xiaofei Wang.A New Fracture Image Segmentation Method Based on MSA-k Clustering Algorithm[C], The 39th Chinese Control Conference, CCC 2020.( EI：20203909242340).
    • Liwei Deng,Jie Hu,Jingjing Qi. Super-Resolution Reconstruction of Finger Vein Image Based on Regression Tree Model[C],The 32nd Chinese Control and Decision Conference, CCDC 2020.( EI：20204009254996).

Haifang Wang – Evidence-based medicine – Excellence in Academic Research Award

Published on by Network Science

Haifang Wang – Evidence-based medicine – Best Researcher Award

Dr. Haifang Wang  distinguished academic and researcher in the field Evidence based Medicine.

🌐 Professional Profile

Educations📚📚📚

He completed his Bachelor of Nursing Science at Changzhi Medical College from September 2005 to June 2010, followed by his Master of Nursing Science at Shanxi Medical University from September 2010 to June 2013. During his studies, he undertook courses such as Medical Statistics, Emergency and Critical Care Medicine, Clinical Epidemiology, Introduction to Clinical Medicine, Clinical Psychology, Theories and Methods of Health Education, Comprehensive Nursing, and Modern Nursing Development.

 Experience:

Since July 2007, he has been actively involved in gaining practical experience and advancing his career in the field of nursing. His journey began with a rotation internship at No.1 Hospital of Shanxi Medical University, which provided foundational exposure to various clinical practices until May 2008. Subsequently, he pursued specialized training with an ICU internship at No.1 Hospital of Shanxi Medical University from July to October 2011, honing his skills in critical care environments. His career path then led him to engage in clinical research at No.2 Hospital of Shanxi Medical University from January 2012 to December 2012, broadening his expertise in research methodologies. Since July 2013, he has been dedicated to educating future nurses at Linfen Vocational and Technical College, imparting both practical knowledge and theoretical foundations in Nursing Science.

Projects hosted and participated

He has been actively involved in various research projects since 2012, including presiding over initiatives such as the Nursing Fund Project at the Second Hospital of Shanxi Medical University, which focused on preventing pulmonary infections in lupus erythematosus patients using different gargles. His research continued with projects like the feasibility study of ultrasonic nebulized potassium chloride inhalation for hypokalemia conducted by the Shanxi Provincial Department of Health in 2013. In subsequent years, he participated in projects addressing the quality of life and self-management of patients with myasthenia gravis, occupational exposure of medical staff to body fluid splashing, and the application of technology in nursing education. His leadership was evident in 2019 when he presided over a college-level project investigating the concept map teaching method’s impact on vocational nursing students’ autonomous learning abilities and participated in key projects focusing on internet-based nursing service quality evaluations and educational science planning in Shanxi Province.

Textbook compilation

He has contributed significantly to the development of nursing education through various textbook publications and educational materials. His work includes co-authoring “Basic Nursing Technique” published by People’s Medical Publishing House, a textbook aligned with China’s 13th Five-Year Plan. Additionally, he has collaborated on “Community Nursing Science,” a digital integration teaching material for higher vocational colleges published by Huazhong University of Science and Technology Press. His expertise also extends to “Surgical Nursing Science,” where he contributed to school-based teaching materials published by Jiangsu University Press, emphasizing practical skills and theoretical knowledge essential for nursing students’ training and professional development.

Academic conference

06.11-09.11.2020 China Nursing Research Summit Forum
(Xiamen)
16.11-18.11.2018 Tianjin – China Nursing Management
Conference
16.11-18.11.2018 The national training course for teachers to
improve the practical ability of nursing major in vocational
colleges

📝🔬Publications📝🔬

  • “Analysis on the status quo of knowledge, belief and practice of
    occupational exposure protection for body fluid splashing in ENT
    medical staff”, “Modern Nursing”, 2019
  • “Motivational Interview: The Effect of Health Education on the
    Self-care Ability of Patients with Gestational Diabetes”, “Public
    Medical Forum Magazine”, 2019
  • “Literature Review and Analysis of Factors Affecting Compliance
    of Self-Glucose Monitoring in Chinese Type 2 Diabetes”,
    “Proceeding of Clinical Medicine” ,2016
  • “Clinical study of different gargles in preventing oral and lung
    infections in patients with lupus erythematosus during active
    period”, “Journal of Nursing Science”, 2013
  • “Oral-related factors and nursing research progress in systemic
    lupus erythematosus complicated with lung infection”, “Journal
    of Nursing Science”, 2013
  • “The practice of strengthening basic nursing in the development
    of high-quality nursing service in ICU”, “China Medicine and
    Pharmacy”, 2012

Pavithra sekar – Deep Learning – Best Researcher Award

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Pavithra sekar -Deep Learning – Best Researcher Award

Dr. Pavithra sekar distinguished academic and researcher in the field Deep Learning.

🌐 Professional Profile

Educations📚📚📚

She holds a Bachelor of Engineering (B.E.) in Computer Science Engineering, which she completed in April 2006 with a percentage of 75.6%, earning a first-class with distinction from Vel Tech Engineering College, affiliated with Anna University. She further advanced her education by obtaining a Master of Engineering (M.Tech) in Information Technology in June 2011, achieving a percentage of 8.43 and graduating with first-class honors from Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, also affiliated with Anna University. She completed her academic journey with a Ph.D. in Information Technology, awarded on January 24, 2020, from St. Peter’s Institute of Higher Education and Research.

PROFESSIONAL EXPERIENCE:

She possesses about 17 years of experience in the field of education, encompassing teaching, administration, and research. Currently, she holds the position of Assistant Professor Sr in the School of Computer Science and Engineering at Vellore Institute of Technology, Chennai. Her career includes roles such as Assistant Professor (Sr) in the Department of Computer Science and Engineering at VIT Chennai since December 15, 2023. Previously, she served as Assistant Professor (SG) and IPR coordinator in the Department of Information Technology from March 31, 2021, to December 7, 2022, at Rajalakshmi Engineering College. Prior to that, she was Assistant Professor & Assistant HOD in the Computer Science & Engineering Department at VelTech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College for 9.6 years, from July 6, 2011, to January 25, 2021. She began her career as a lecturer in the Department of Information Technology at VelTech MultiTech Dr. Rangarajan Dr. Sakunthala Engineering College from August 24, 2006, to September 25, 2009.

 

DEVELOPMENT ACTIVITIES

She possesses a thorough understanding of her subject area, demonstrating an exceptional ability to effectively communicate complex concepts to her students. Her strong communication and comprehension skills enhance her role in internal administrative tasks within educational institutions. She has a proven track record in coordinating various activities such as symposiums, student projects, and conferences, where she provides guidance and support to ensure successful outcomes. Her extensive experience includes roles as Class Coordinator, Conference Coordinator, Project Coordinator for contests, and organizing events like the MOTOROLA FAER EVENT. Additionally, she has served as ISO coordinator, handled NBA coordination, and participated actively in autonomous file activities. She is involved in setting question papers for autonomous colleges and universities and has excelled in roles such as Class In-Charge, Student Mentor, and AICTE CII-Survey participant. She diligently maintains semester-wise result analysis reports, prepares weekly schedules, and curates course materials for effective teaching. Her commitment to excellence is evident in achieving over 90% results across all subjects and receiving a publication award of 16,000. Notably, she achieved a perfect 100% result in key subjects like Computer Programming, Operating System, Computer Architecture, Advanced Computer Architecture, and Problem Solving And Python Programming.

📝🔬Publications📝🔬

1. S. Pavithra and K. Venkata Vikas, “Detecting Unbalanced Network Traffic Intrusions With Deep
Learning,” in IEEE Access, vol. 12, pp. 74096-74107, 2024, doi: 10.1109/ACCESS.2024.3405187.
2. . Pavithra, T. Veeramani, S. Sree Subha, J.P. Sathish Kumar, S. Shanmugan, Ammar H.
Elsheikh, F.A. Essa, “Revealing prediction of Perched Cum Off-Centered Wick Solar Still
Performance using network based on Optimizer algorithm” Process Safety and
Environmental Protection,Volume 161,2022, Pages 188-200,ISSN 0957-
5820,https://doi.org/10.1016/j.psep.2022.03.0092022, .(SCI, Scopus).)(Impact factor: 7.92).
3. Meena, M., Kavitha, A., Karthick, Pavithra.S “Effect of decorated photoanode of
https://doi.org/10.1007/s12034-022-02828-9 .(SCI, Scopus).)(Impact factor: 1.92).
4. S.Pavithra, P.M Anu “An Efficient Data Aggregation with Optimal Recharging in Wireless
Rechargeable Sensor Networks” (Submission code: IJAIP-221302) for the International
Journal of Advanced Intelligence Paradigms (IJAIP) Inderscience
DOI: 10.1504/IJAIP.2022.10040244,2022 (Scopus). Impact factor ( 0.63)
5. S.Pavithra Assistive Chatbot device to support Visually Impaired Person to access
Transport Mode Status Using Deep Learning Model ARPN Journal of Engineering and
Applied Sciences waiting for Publication 2022. (Scopus).
6. S.Pavithra, R.Karthikeyan P.M Anu “Detection and classification of 2D and 3D Hyper
Spectral Image Using Enhanced Harris Corner Detector” “Scalable Computing: Practice and
Experience, ISSN 1895-1767, Volume 21, Issue 1, pp. 93–100, DOI

Jean Marcos da Silva – Sustainability – Best Researcher Award

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Jean Marcos da Silva – Sustainability – Best Researcher Award

Mr. Jean Marcos da silva distinguished academic and researcher in the field Sustainability. 

🌐 Professional Profile

Educations📚📚📚

He completed his PhD in Administration in 2020 at the Federal University of Santa Maria (UFSM) in Brazil, under the supervision of Jordana Marques Kneipp. From 2013 to 2015, he pursued a Master’s degree in Administration at the Federal University of Rondônia (UNIR) in Porto Velho, Brazil. His thesis, titled “Public Policies for Cost Composition and Price Formation of Brazil Nuts,” was completed in 2015 under the guidance of Mariluce Paes de Souza, with funding from CAPES, Brazil. Between 2008 and 2012, he obtained a Bachelor’s degree in Accounting Sciences from the Federal University of Rondônia (UNIR) in Porto Velho, Brazil, with a thesis on “Economic Control of Activities in Family Agriculture: A Study Focused on the Management Information System,” supervised by Professor Dr Rosália Maria Passos da Silva. He also earned a Bachelor’s degree in Pedagogical Training for Non-Licensed Bachelors from the Federal Institute of Education, Science, and Technology Sul-Rio-Grandense (IFSUL) in Pelotas, Brazil, between 2018 and 2021. His thesis, titled “TO BE OR TO HAVE A TEACHING ATTITUDE? THAT IS THE QUESTION: A NARRATIVE OF A TEACHER-RESEARCHER,” was supervised by Janaina Schvambach. He completed his secondary education at E.E.F.M José de Anchieta (J.A) in Brazil, from 2005 to 2007.

Experience

He has pursued various supplementary courses to enhance his skills and knowledge. Between 2007 and 2008, he completed a short course in Informatics at Millenium Informatica (MI) in Brazil, totalling 85 hours. In 2007, he also undertook a short course in Quality at Work – Team Management at the School of the Legislative (INTERCÂMARAS) in Brazil, which lasted 20 hours. In 2009, he completed a short course in Oratory at Microlins (MICROLINS) in Brazil. In 2010, he engaged in university extension in Philosophy of Language: Rousseau at the Federal University of Rondônia (UNIR) in Porto Velho, Brazil, for 40 hours, and a short course in Interpersonal Relationships at the Euvaldo Lodi Institute (IEL/RO) in Porto Velho, Brazil, for 16 hours. In 2014, he enrolled in an English course at Minds English School (MINDS) in Brazil, totalling 240 hours, although he interrupted this course in 2016. Additionally, in 2014, he completed a short course in Topics of Bibliometrics and Experimental Data Analysis (DEA) at the Federal University of Rondônia (UNIR) in Porto Velho, Brazil, for 8 hours. In 2020, he took a short course in Introduction to Project Management at the National School of Public Administration (ENAP) in Brasília, Brazil, for 20 hours, and another short course in Secretariat from Certificado Cursos Online (CO) in Brazil, which lasted 60 hours.

He has been a public servant and a dedicated full-time Lecturer-Researcher at the Federal Institute of Education, Science, and Technology Sul-Rio-Grandense (IFSUL) since 2018, with a workload of 40 hours per week. He teaches courses on Management and Entrepreneurship as well as the Professional Area for Technician in Secretariat. Since March 2019, he has also served as the Coordinator of the Integrated Environmental Management Unit at IFSul-Venâncio Aires/RS. Between September 2018 and December 2018, he worked in Management, Business, and Sustainability. Additionally, since September 2018, he has been engaged in research and development at IFSul-Venâncio Aires/RS, focusing on Local Productive Arrangements and the Sustainability of Non-Timber Forest Products (NTFPs). Since March 2018, he has been involved in professional development in the areas of Management and Entrepreneurship.

He also served as a Substitute Professor at the Federal University of Rondônia (UNIR) from 2016 to 2017, with a full-time workload of 40 hours per week. In 2012, he worked as a Monitor at UNIR, with a part-time workload of 12 hours per week. His activities at UNIR included providing specialised technical services, such as analysing, reporting, and giving opinions on requests for the inclusion of courses and extension projects. From March 2017 to July 2017, he taught various accounting subjects, including Analysis of Accounts and Balances, International Accounting, Governmental Accounting Processing, and Accounting for Third Sector Organisations. He also coordinated the course in January and February 2017 and taught Planning and Business Budgeting, Final Paper, Proficiency in Accounting Fundamentals and Practices, and Financial Analysis of the Company from September 2016 to January 2017.

Since March 2011, he has been involved in research and development at CEDSA, focusing on Management and Sustainability in the Amazon, Accounting and Sustainability, Local Productive Development Arrangements, and Costs and Prices for Agroforestry Products.

Guidance and Supervisions

He has supervised and completed several undergraduate final projects. In 2017, he guided J. A. Freitas and E. R. Tomaz on their scientific work about the Public Digital Bookkeeping System (SPED) at the Federal University of Rondônia. He also supervised A. R. S. Bastos and L. O. Castro, along with M. S. Castro, on their study of scientific articles concerning the financial analysis method ‘Kanitz Thermometer’ through an integrative review methodology at the same institution. Another notable supervision was for Alexandre Rhuan Almeida Fritz, who examined the level of entrepreneurship among self-employed workers at PSV in Cacoal’s Municipal Square, RO, in 2017, at the Higher Education Institution of Cacoal. He also oversaw A. A. de Sousa, E. A. da Silva, and L. B. Costa in their study on the entrepreneurial level and motivations for remaining in informality among self-employed workers at the Camelódromo in Porto Velho, RO, in 2017, at the Federal University of Rondônia. Joscimar Ferreira Coimbra’s project on SPED, focusing on the perceptions of traditional professionals in Cacoal, RO, was another project he supervised in 2017 at the Higher Education Institution of Cacoal. Additionally, in 2013, he guided Zélia Rocha de Farias and Ílen Caroline Pires de Oliveira in their economic-financial analysis based on accounting statements, conducting a comparative study of organisations in the IT sector at the Federal University of Rondônia.

📝🔬Publications📝🔬

  • “Social learning, innovation, and sustainability: The search for directions beyond a systematic literature review”

    Heliyon
    2024-04 | Journal article
    DOI: 10.1016/j.heliyon.2024.e28431
    CONTRIBUTORS: Marcos da Silva-Jean; Jordana Marques Kneipp
  • PARA ALÉM DAS DIMENSÕES DA SUSTENTABILIDADE, OS DESAFIOS E AS PERSPECTIVAS DO EXTRATIVISMO DO PINHÃO
    Desafio Online
    2023-04-12 | Journal article
    DOI: 10.55028/don.v11i3.17790
    CONTRIBUTORS: Jean Marcos da Silva; Thiago Paulo Both; Jordana Marques Kneipp; Greice Eccel Pontelli

  • Challenges and Perspectives of Pinhão Production Considering the Dimensions of Sustainability

    2023-03-23 | Book chapter
    DOI: 10.4018/978-1-6684-6123-5.ch014
    CONTRIBUTORS: Jean Marcos da Silva; Jordana Marques Kneipp; Thiago Paulo Both; Greice Eccel Pontell

  • Public policies of guarantee for minimum prices on products of sociobiodiversity (PGPMBio): composition of the extraction cost of Amazonian chestnut in Rondônia and Acre

    Revista de Administração da UFSM
    2022-04-19 | Journal article
    DOI: 10.5902/1983465965906
    CONTRIBUTORS: Jean Marcos da Silva; Mariluce Paes-de-Souza; Theophilo Alves de Souza Filho; Fabiana Rodrigues Riva; Cleidimar da Silva Borbosa

Yingya Guo- Computer Network – Best Researcher Award

Published on by Network Science

Yingya Guo- Computer Network – Best Researcher Award

Assoc Prof Dr. Yingya Guo distinguished academic and researcher in the field Computer Network.

🌐 Professional Profile

Educations📚📚📚

She earned her PhD in Computer Science and Technology from Tsinghua University, where she studied under the guidance of Professor Jianping Wu from September 2013 to July 2019. During her doctoral studies, she spent a year as a visiting scholar at the Tandon School of Engineering at New York University, working with Professor H. Jonathan Chao from October 2017 to September 2018. Prior to her PhD, she completed her Bachelor’s degree in Computer Science and Technology at Xiamen University, graduating fourth in a class of 121 in July 2013.

📝🔬Publications📝🔬
1. Guo Y, Wang Z*, Yin X, et al. Traffic engineering in hybrid SDN networks with multiple traffic
matrices[J]. Computer Networks, 2017.
2. Guo Y, Wang Z*, Yin X, et al. SOTE: Traffic Engineering in Hybrid Software Defined
Networks [J]. Computer Networks, 2019.
3. Guo Y, Wang Z*, Yin X, et al. Joint Optimization of Tasks Placement and Routing to Minimize
Coflow Completion Time[J], Journal of Network and Computer Applications, 2019.
4. Guo Y, Wang Z*, Yin X, et al. Traffic engineering in SDN/OSPF hybrid network[C]. IEEE
International Conference on Network Protocols (ICNP), 2014.(Google scholar citation: 60)
5. Guo Y, Wang Z*, Yin X, et al. Optimize Routing in Hybrid SDN Network with Changing
Traffic[C]. IEEE International Conference on Computer Communication and Networks
(ICCCN), 2017.
6. Guo Y, Wang Z*, Yin X, et al. Joint Optimization of Task Placement and Routing in Minimizing
Inter-DC Coflow Completion Time[C]. IEEE International Conference on Computer
Communication and Networks (ICCCN), 2017.
7. Guo Y, Wang Z*, Yin X, et al. Incremental deployment for traffic engineering in hybrid SDN
network[C]. IEEE International Conference on Performance Computing and
Communications (IPCCC), 2015.
8. Guo Y, Wang Z, Yin X, et al. Achieving Balance Between Link Utilization and Traffic Latency
in Inter-DC WAN Using Deep Reinforcement Learning [J]. IEEE transactions on networking,
2019.(submitted)
9. Guo Y, et al. Optimizing routing with paths cardinality constraints in hybrid SDN [J],
Computer Networks, 2019. (submitted)

Pian Pu- Community invovement and sustainable tourism – Best Researcher Award

Published on by Network Science

Pian Pu- community invovement and sustainable tourism – Best Researcher Award

Dr. Pain Pu  distinguished academic and researcher in the field Community invovement and sustainable tourism. She served as an instructor for the “Tibetan Society and Culture” course in English as part of the International Exchange Program at the International Exchange College of Sichuan University from September 2019 to December 2019. Between 2018 and 2020, she participated as a key member in the horizontal project of the Sichuan Academy of Social Sciences, titled “New Ideas for Ecotourism Along the Dujiangyan-Siguniang Mountain Railway Line.” Additionally, from January 2020 to May 2021, she was involved in the research and compilation of the “Oral History of Mountain Adventure in Siguniang Mountain.”

🌐 Professional Profile

Educations📚📚📚

She completed her Bachelor’s in Tourism Management at Zhejiang University from September 2007 to June 2011. Continuing her studies at the same institution, she earned her Master’s in Tourism Management between September 2012 and April 2015. Currently, she is pursuing her Ph.D. in Tourism Management at Sichuan University, a journey she began in September 2018

📝🔬Publications📝🔬
  • PianPu , Li Cheng, WHMS Samarathunga, Geoffrey Wall. Tour Guides’ Sustainable Tourism Practices in Host-Guest Interactions: When Tibet Meets the West[J], Tourism Review, 2023, Vol.78 No.3, pp. 808-833
  • Li Cheng, Pian Pu, Xue Zhang, Tingting Wang, Youhai Lu, Geoffrey Wall. Tourists’ psychological reactions and destination attachment following an earthquake in Jiuzhaigou, China[J], Current Issues in Tourism, 2022
  • PianPu, Ling XiaoPan, Liu Yong. Local residents’ perception of the impacts of mountain adventure tourism: The Case of Si-gunaing mountain range, Tibet. International Journal of Tourism Anthropology[J], 2021, Vol.8 No.3, pp. 193-212
  • Li Cheng, Wei Xurong, Pian Pu. Evaluation of Farmers’ Perception of Tourism Impacts and Attitude Differences in Ecological Corridors[J], Rural Economy, 2023, Issue 4
  • Pian Pu, Cheng Yang, Li Cheng, Yun Xing. Mountain Adventurer’s Personality Trait and Decision-making Based on Complexity Method: The Process and Effect[C]. Proceedings of the 2019 International Conference on Strategic Management
  • Xiurong Wei,PianPu,Li Cheng, Haiyue Jiang, Yong Liu. Ethnic community’s perception of benefit-sharing and participation intentions in National Park tourism in China: An asymmetric modeling approach,Ecological Indicator（accepted）
  • Liuying Huang, Pian Pu. Empirical Study on the Relationship between Brand Experience and Behavior Intention in Tibetan Homestay[C]. The 2013 (the 9th) Euro-Asia Conference on Environment and Corporate Social Responsibility – CSR and Corporate Governance Session
  • Liuying Huang, Pian Pu. “Out of Makye Ame, Where Is the Way Home” Business Management Case. (2013 Included in Zhejiang University Management School Case Database)
  • Pian Pu. “Study on the Influence of Brand Experience in Tibetan Homestays on Customer Behavior Intention”[D]. Master’s Thesis (Published in CNKI, Downloaded 3926 times, Cited 51 times)
  • Pian Pu. “Research on Improving Service Quality of Hotels in Tibet Based on Online Reviews – A Case Study of Lhasa”[D]. Outstanding Thesis of Zhejiang University, 2011.