Hesham A. Sakr | Artificial Intelligence | Best researcher award

Assist Prof Dr. Hesham A. Sakr | Artificial Intelligence | Best researcher award

Assistant professor, Assistant professor -Nile higher institute of engineering and technology -Mansoura -Egypt

๐Ÿ“ก Hesham Ali Sakr is an Assistant Professor and Researcher specializing in Communication Networks and Cybersecurity. He earned his Ph.D. in Electrical, Electronics, and Communications Engineering from Mansoura University, Egypt. Dr. Sakr’s research focuses on optimizing wireless technologies for multimedia services, VoIP systems, and LTE-A networks. His contributions to the field are recognized through multiple publications in prestigious journals. He is actively involved in advancing the state-of-the-art in 5G and beyond communication technologies.

Profile

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Education

๐ŸŽ“ Ph.D. in Electrical, Electronics, and Communications Engineering
Mansoura University, Egypt (June 2016 – April 2020)
Thesis: Development of Accessing Multimedia Services over Wireless Technologies
GPA: 3.55/4

๐ŸŽ“ M.Sc. in Electrical, Electronics, and Communications Engineering
Mansoura University, Egypt (June 2010 – September 2014)
Thesis: Development of VoIP Systems using MPLS
GPA: 3.6/4

๐ŸŽ“ B.Sc. in Networks and Communications Engineering
Higher Technological Institute of Engineering, 10th of Ramadan, Egypt (September 2004 – August 2009)
Excellent with Honor Degree (84.9%)
Graduation Project Grade: Excellent

Experience

Specializing in Communication Networks and Cybersecurity, Dr. Sakr has significant academic and research experience. His work primarily focuses on enhancing wireless communication technologies, particularly in the realms of 5G and multimedia services. He has been affiliated with Mansoura University, contributing to various research projects and publications.

Research Interests

Dr. Sakr’s research interests encompass Communication Networks, Cybersecurity, and the development of efficient multimedia services over wireless technologies. His work includes performance evaluation of HARQ mechanisms, IPv6 multimedia management, and power-efficient mechanisms for LTE-A networks. He is particularly focused on optimizing handover management in LTE-A networks and evaluating VoIP versus VoMPLS performance.

Awards

Dr. Hesham Ali Sakr has been recognized for his outstanding contributions to the field of Communication Networks and Cybersecurity. His research achievements and academic excellence have earned him a commendable reputation among peers and colleagues in the industry.

Publications

๐Ÿ“š H.A. Sakr, and M.A. Mohamed, โ€œPerformance Evaluation Using Smart: HARQ Versus HARQ Mechanisms Beyond 5G Networks,โ€ Wireless. Pers. Communication (Springer), June 2019. Cited by 26 articles

๐Ÿ“š Abeer Twakol Khalil, A. I. Abdel-Fatah and Hesham Ali Sakr, โ€œRapidly IPv6 multimedia management schemes based LTE-A wireless networks,โ€ International Journal of Electrical and Computer Engineering (IJECE), vol. 9, no. 4, 2018. Cited by 32 articles

๐Ÿ“š H. A. Sakr, A. I. Abdel-Fatah, A. T. Khalil, โ€œPerformance Evaluation of Power Efficient Mechanisms on Multimedia over LTE-A Networks,โ€ International Journal on Advanced Science, Engineering and Information Technology (IJASEIT), vol. 9, no. 4, 2019. Cited by 18 articles

๐Ÿ“š H.A. Sakr and M.A. Mohamed, โ€œHandover Management Optimization over LTE-A Network using S1 and X2 handover,โ€ Proc. of The Seventh International Conference on Advances in Computing, Electronics and Communication – ACEC 2018, 2018. Cited by 15 articles

๐Ÿ“š M. Abdel-Azim, M., Awad, M. M., & Sakr, H. A., โ€œVoIP versus VoMPLS Performance Evaluation,โ€ International Journal of Computer Science Issues (IJCSI), 11(1), 2014. Cited by 20 articles

GAN XU | Computer Science | Best Researcher Award

Mr. GAN XU | Computer Science | Best Researcher Award

PhD. candidate, capital university of economics and business, China

Xu Gan is a Doctoral student at Capital University of Economics and Business, Beijing, specializing in Rural Finance, Financial Theory and Policy, and Supply Chain Finance. With a solid academic background and practical experience, Xu has contributed significantly to research in financial services and blockchain technology. ๐Ÿ›๏ธ๐Ÿ“š

Profile

Scopus

 

Education

Xu Gan completed a Master of Finance from Capital University of Economics and Business in Beijing (2018-2021) and a Bachelor of Biotechnology from Beijing Union University (2006-2010). Xu also has an extensive academic background in these fields, providing a strong foundation for research and analysis. ๐ŸŽ“๐Ÿ“ˆ

Experience

Xu has actively participated in several high-profile research projects, including the National Social Science Foundation of Chinaโ€™s research on rural financial services and the China Mobile Communication Federationโ€™s blockchain technology applications in finance. Xu was responsible for designing research sub-topics and writing research reports. ๐Ÿ“Š๐Ÿ”ฌ

Research Interests

Xu Ganโ€™s research interests include Rural Finance, Financial Theory and Policy, and Supply Chain Finance. Xu is focused on improving rural financial services and exploring innovative financial technologies such as blockchain. ๐ŸŒพ๐Ÿ’ก

Awards

Xu has been recognized for academic excellence with several honors: Beijing Outstanding Graduates (2020), Outstanding Graduate of Beijing Union University (2020), and several awards for excellent papers at various financial and rural finance forums. ๐Ÿ…๐Ÿ“œ

Publications

Yang, GZ., Xu, G., Zhang, Y., et al. Financial density of village banks and income growth of rural residents. Economic Issues, 2021, 504(08): 89-94.

Zhang, F., Xu, G., Zhang, XY, Cheng, X. Knowledge mapping analysis of seven decades of rural finance research in China. Rural Finance Research, 2020(01): 10-20.

Zhang, F., Xu, G., Cheng, X. A review of blockchain applications in the financial sector. Technology for Development, 2019, 15(08): 865-871.

Hafiza Sadia Nawaz | Computer Science | Women Researcher Award

Dr. Hafiza Sadia Nawaz | Computer Science | Women Researcher Award

Shenzhen University, China

๐ŸŽ“ Dr. H. Sadia Nawaz is a distinguished researcher and academic in Computer Vision, with a Ph.D. from Ocean University of China. Her work focuses on Temporal Activity Detection using Natural Language. With a background in both teaching and research, she has contributed significantly to the field of computer vision and continues to pursue a career as a postdoctoral researcher. Her extensive knowledge and dedication to the subject make her a valuable asset to any research group.

Profile

Scopus

 

Education

๐Ÿ“š Dr. H. Sadia Nawaz holds a Ph.D. in Computer Science from Ocean University of China, specializing in Temporal Moment Localization using Natural Language. She also completed her Masterโ€™s in Information Science and Technology at the University of Sargodha and an MS in Computer Science and Technology with a focus on Cyber Security at the University of Lahore. Her academic background provides a strong foundation for her research and teaching roles.

Experience

๐Ÿ’ผ Dr. Nawaz has a robust teaching background, having served as a Programming Teaching Assistant at Heriot-Watt University and Ocean University of China, and as a Computer Science Lecturer at Superior University of Lahore and the University of Sargodha. Her roles in academia have honed her skills in teaching, mentoring, and research, contributing to her expertise in computer vision and machine learning.

Research Interests

๐Ÿ” Dr. Nawaz’s research interests include Activity Localization in Videos via Language, Temporal Moment Detection, and Natural Language Processing. She is particularly focused on moment detection in complex scenarios and the integration of machine learning methods with computer vision techniques to enhance video understanding and activity localization.

Awards

๐Ÿ… Dr. H. Sadia Nawaz has been recognized for her research contributions in the field of computer vision, particularly for her work on Temporal Moment Localization using Natural Language. Her research has been published in high-impact journals, reflecting her expertise and commitment to advancing the field.

Publications

Temporal Moment Localization via Natural Language by Utilizing Video Question Answers as a Special Variant and Bypassing NLP for Corpora

IVTEN – Integration of Visual-Textual Entities for Temporal Activity Localization via Language in Video

Revelation of Novel Paradigm in Temporal Moment Localization by Using Natural Language in Video

Multi-level Edges and Context Arranger Architecture Using Referencing Expressions for Temporal Moment Localization via Natural Language

A Frame-Based Feature Model for Violence Detection from Surveillance Cameras Using ConvLSTM Network

Gabriella d’Albenzio | Artificial Intelligence | Best Researcher Award

Dr. Gabriella d’Albenzio | Artificial Intelligence | Best Researcher Award

Postdoc, Perk Lab Perk Lab Laboratory for Percutaneous Surgery, Canada

๐ŸŽ“ Gabriella d’Albenzio is a talented researcher with a focus on biomedical engineering and medical imaging. Currently pursuing a Ph.D. in Informatics at the University of Oslo, she has an impressive background in clinical engineering and biomedical engineering. Gabriella has worked on cutting-edge projects related to image-guided therapies and deep learning for medical applications, contributing significantly to her field through both research and development.

Profile

Scopus

 

Education

๐Ÿ“š Gabriella d’Albenzio holds a Ph.D. in Informatics from the University of Oslo (2021-2024). She completed her M.Sc. in Biomedical Engineering and B.Sc. in Clinical Engineering at Sapienza University of Rome, Italy, reflecting a solid foundation in both engineering and medical sciences.

Experience

๐Ÿ’ผ Gabriella d’Albenzio has extensive experience as a Scientific Software Developer at The Intervention Centre in Oslo, Norway, and as a Research Assistant at NTNU. She has also interned at the Rehabilitation Bioengineering Lab in Rome, contributing to various research projects involving advanced medical imaging and deep learning technologies.

Research Interests

๐Ÿง  Gabriella’s research interests are centered around enhancing surgical planning and medical imaging through deep learning and advanced computational techniques. Her work focuses on developing algorithms for medical image segmentation and predictive models for surgical outcomes, aiming to improve patient-specific treatment strategies.

Awards

๐Ÿ… Gabriella d’Albenzio has been recognized with the Globalink Research Internship by Mitacs, Canada, and a Grant Research Stay Abroad by The Research Council of Norway. These awards highlight her outstanding contributions to research and her commitment to advancing biomedical engineering.

Publications

Optimizing Surgical Plans for Parenchyma-Sparing Liver Resections through Contour-Guided Resection and Surface Approximation

Using NURBS for Virtual Resections in Liver Surgery Planning: A Comparative Usability Study

Patient-Specific Functional Liver Segments Based on Centerline Classification of the Hepatic and Portal Veins

ALive: Analytics for Computation and Visualization of Liver Resections

Laparoscopic Parenchyma-Sparing Liver Resection for Large (โ‰ฅ50 mm) Colorectal Metastases

Qiang Fan | Artificial Neural Networks | Best Researcher Award

Dr. Qiang Fan | Artificial Neural Networks | Best Researcher Award

engineer , Huazhong Institute of Electro-Optics, China

๐Ÿง‘โ€๐Ÿ”ฌ Dr. Qiang Fan is a senior engineer at the Huazhong Institute of Electro-Optics. He earned his Ph.D. from Wuhan University in 2017. Specializing in algorithm research, Dr. Fan focuses on image processing, infrared small target detection and recognition, target tracking, and deploying these algorithms on embedded platforms. His innovative work has led to significant advancements in automatic detection, recognition, and consistent tracking of small targets amidst complex backgrounds.

Profile

Scopus

 

Education

๐ŸŽ“ Dr. Qiang Fan completed his Ph.D. at Wuhan University in 2017. His academic journey has been characterized by a strong focus on algorithm research in image processing and related fields.

Experience

๐Ÿ”ฌ Dr. Qiang Fan has extensive experience as a senior engineer at the Huazhong Institute of Electro-Optics. His work primarily involves the development and deployment of image processing algorithms, particularly for infrared small target detection, recognition, and tracking. He has successfully applied for 14 invention patents, with 5 already authorized, demonstrating his innovative contributions to the field.

Research Interests

๐Ÿง  Dr. Qiang Fan’s research interests include image processing, infrared small target detection and recognition, target tracking, and the deployment of image processing algorithms on embedded platforms. His work focuses on enhancing target detection and robust tracking in complex backgrounds, addressing challenges such as occlusion and environmental interference.

Awards

๐Ÿ† Dr. Qiang Fan has applied for 14 invention patents, with 5 authorized, showcasing his contributions to technological advancements. His published research in prestigious SCI journals highlights his impact and recognition in the field of image processing and target detection.

Publications

“Automatic Detection and Recognition of Infrared Small Targets in Sea-Sky Backgrounds”

“Robust Tracking of Small Targets in Complex Backgrounds”

“Deployment of Image Processing Algorithms on Embedded Platforms”

 

Xinke Liu | Engineering | Best Researcher Award

Assoc Prof Dr. Xinke Liu | Engineering | Best Researcher Award

Assoc. Prof. Shenzhen University, China

๐Ÿ‘จโ€๐Ÿซ Liu, Ph.D. is an accomplished Associate Professor at Shenzhen University, specializing in wide bandgap semiconductor materials and electronic devices. With a prolific publication record of over 110 papers as a first or corresponding author, he has garnered more than 3040 citations and an impressive h-index of 31. His research focuses on the development of advanced GaN power electronics using CMOS-compatible materials and processes, aiming to revolutionize wide-bandgap power devices for future computing, 5G/6G communication, and electric cars.

Profile

Google Scholar

Education

๐ŸŽ“ Liu completed his Sc. long in Material Science from the National University of Singapore in 2004. He also holds a Graduate Certificate in Management of Technology from the National University of Singapore, obtained between 2011-2012.

Experience

๐Ÿ”ฌ Liu has a rich professional background, including hosting roles and research fellowships. He worked with Professor Ali Javey at the University of California, Berkeley, focusing on electronic devices related to novel 2D materials. He also collaborated with Professor Kah-Wee Ang at the National University of Singapore, and served as a professor at the Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, where he researched GaN-based and GaN/2D heterojunction power devices.

Research Interests

๐Ÿง  Liu’s research interests include the development of advanced GaN power electronics using CMOS-compatible materials and processes. He explores advanced electronic devices such as Schottky Barrier Diodes (SBDs), PN Diodes (PNDs), High Voltage High Electron Mobility Transistors (HV-HEMTs), and Radio Frequency High Electron Mobility Transistors (RF-HEMTs). His work aims to produce electronic and optoelectronic chips that will drive innovation in wide-bandgap power devices for computing, communication, and automotive industries.

Awards

๐Ÿ… Liu has received numerous awards, including the Shenzhen Youth Science and Technology Award (2023), IEEE Senior Member (2021), Guangdong Provincial Science and Technology Progress Award (2022), and the Excellent Teaching Award of Shenzhen University (2020). He is recognized as one of Stanford University’s World’s Top 2% Scientists (2019, 2020, 2022) and has earned the Shenzhen Peacock Plan B Award (2014), among other honors.

Publications

Artificial synapses based on multiterminal memtransistors for neuromorphic application

Few-layer black phosphorus carbide field-effect transistor via carbon doping

Impact and Origin of Interface States in MOS Capacitor with Monolayer MoS2 and HfO2 High-k Dielectric

Down to ppb level NO2 detection by ZnO/rGO heterojunction based chemiresistive sensors

2D III-Nitride Materials: Properties, Growth, and Applications

 

Lourdes Swentek | Artificial Intelligence | Best Researcher Award

Assist Prof Dr. Lourdes Swentek | Artificial Intelligence | Best Researcher Award

Academician/Research Scholar, UCI, United States

Dr. Lourdes Swentek is a highly accomplished trauma and critical care surgeon with extensive experience in surgical research and education. She completed her fellowship in Critical Care at the University of California, Irvine, and her residency in Surgery at Loma Linda University Health. Dr. Swentek has been recognized for her outstanding contributions to trauma and acute care surgery, earning numerous awards and accolades throughout her career. Her research interests focus on islet transplantation, oxidative stress in pancreatitis, and innovative surgical techniques.

Profile

Scopus

 

Education

๐ŸŽ“ Dr. Lourdes Swentek completed her Critical Care fellowship at the University of California, Irvine, and her Surgical Residency at Loma Linda University Health. She also served as a Research Resident in the Department of Surgery at the University of California, Irvine, where she focused on islet transplantation.

Experience

๐Ÿ”ฌ Dr. Lourdes Swentek’s professional journey includes a fellowship in Critical Care at the University of California, Irvine, and a surgical residency at Loma Linda University Health. She has significant research experience in islet transplantation and surgical innovation, having contributed to several impactful research projects and publications.

Research Interests

๐Ÿงช Dr. Lourdes Swentek’s research interests encompass islet transplantation, oxidative stress in pancreatitis, and the development of novel surgical techniques. Her work has contributed to advancing knowledge and improving practices in these areas, making a notable impact on the field of trauma and critical care surgery.

Awards

๐Ÿ† Dr. Lourdes Swentek has received numerous awards, including the East Oriens Award for her career in Trauma and Acute Care Surgery in 2018, the Highest Resident Absite Score at Loma Linda University Health in 2017, and the UCI School of Medicine Achievement Award for Clinical Science Lecturer in 2022. These accolades reflect her dedication and excellence in her field.

Publications

The Addition of a Nurse Practitioner to an Inpatient Surgical Team Results in Improved Utilization of Resources

Medium and Long-term Outcomes after Pneumatic Dilation or Laparoscopic Heller Myotomy for Achalasia: A Meta-analysis

Presentation, Diagnosis, and Treatment of Oesophageal Motility Disorders

Role of Oxidative Stress in the Pathogenesis of Pancreatitis: Effect of Antioxidant Therapy

Total Pancreatectomy and Islet Auto Transplantation for Chronic Pancreatitis

 

Haijing Shi | Biological Sciences | Best Researcher Award

Dr. Haijing Shi | Biological Sciences | Best Researcher Award

Associate professor, Northwest A&F University, China

๐ŸŒŸ Haijing Shi is a dedicated Associate Professor at the Institute of Soil and Water Conservation, Northwest A&F University. With a strong academic background and extensive research in soil and water conservation, GIS-based ecological modeling, and climate change, Dr. Shi has significantly contributed to environmental science. She has secured numerous research grants and published influential papers, establishing herself as a leader in her field.

Profile

ORCID

 

Education

๐ŸŽ“ Haijing Shi holds a Ph.D. in Physical Geography from the University of New South Wales, Australia (2009-2013). She also earned an M.S. in Land Resources & Application of GIS&RS from Northwest A&F University (2005-2008) and a B.S. in Soil and Water Conservation from the same institution (2001-2004).

Experience

๐Ÿ”ฌ Haijing Shi has been an Associate Professor at the Institute of Soil and Water Conservation, Northwest A&F University since 2018. Previously, she served as an Assistant Professor at the same institute from 2014 to 2017. Her professional journey is marked by her commitment to advancing research in soil and water conservation and environmental sustainability.

Research Interests

๐ŸŒ Haijing Shi’s research interests include soil and water conservation, data mining, GIS-based ecological modeling, and studying environmental heterogeneity and climate change. Her work focuses on understanding and mitigating the impacts of climate change and human activities on ecosystems.

Awards

๐Ÿ† Dr. Haijing Shi has been awarded several prestigious research grants, including the High-end Foreign Experts Recruitment Plan of China, the National R&D Infrastructure and Facility Development Program of China, and the CAS “Light of West China” program. These accolades recognize her contributions to high-resolution surface process data mining and the spatial classification of topography-induced microhabitats.

Publications

Using the response-effect trait framework to disentangle the effects of climate change and human activities on the provision of ecosystem services by vegetation

A new high-resolution global topographic factor dataset calculated based on SRTM

Estimating the CSLE Biological Conservation Measuresโ€™ B-Factor Using Google Earthโ€™s Engine

A digital close range photogrammetric observation system for measuring soil surface morphology during ongoing rainfall

A comparative experimental study of rill erosion on loess soil and clay loam soil based on a digital close-range photogrammetry technology

 

Xingjie Xu | Engineering | Best Researcher Award

Mr. Xingjie Xu | Engineering | Best Researcher Award

Student/Member, Zhejiang University, China

๐ŸŽ“ Xingjie Xu is an accomplished graduate student from Zhejiang University, where he has been honored with titles such as “Outstanding Graduate Student” and “Outstanding Graduate.” With a master’s degree from Zhejiang University, Xingjie focuses his research on Readout Circuit Design for RRAM Array-based Computing in Memory Architecture. He has made significant contributions to his field, including publishing articles in esteemed journals and actively participating in innovative research projects.

Profile

ORCID

 

Education

๐Ÿ“š Xingjie Xu earned his master’s degree from Zhejiang University. His academic journey is marked by his achievements as an “Outstanding Graduate Student” and “Outstanding Graduate” at Zhejiang University, where he has excelled in his research and academic pursuits.

Experience

๐Ÿ”ฌ Xingjie Xu’s experience encompasses notable research in the field of in-memory computing. He has designed low-power and small-area SAR ADCs for in-memory computing and developed current-controlled oscillator-type readout circuits. His hands-on experience in these projects highlights his expertise and dedication to advancing technology in his area of focus.

Research Interests

๐Ÿง  Xingjie Xu’s research interests lie in Readout Circuit Design for RRAM Array-based Computing in Memory Architecture. He is particularly focused on developing efficient, low-power, and small-area designs for in-memory computing applications, contributing to the advancement of modern computing architectures.

Awards

๐Ÿ… Xingjie Xu has received several prestigious awards, including the title of “Outstanding Graduate Student of Zhejiang University” and “Outstanding Graduate of Zhejiang University.” These accolades recognize his exceptional academic performance and contributions to research.

Publications

A 0.0025mmยฒ 8-bit 70MS/s SAR ADC with a Linearity-Improved Bootstrapped Switch for Computation in Memory

Readout Circuit Design for RRAM Array-Based Computing in Memory Architecture

 

Mitra Madanchian | Social Sciences | Best Researcher Award

Assist Prof Dr. Mitra Madanchian | Social Sciences | Best Researcher Award

Assistant Professor, University Canada West, Canada

๐Ÿ“š Dr. Mitra Madanchian is an accomplished scholar and industry expert with a PhD in Business Management from Universiti Teknologi MARA, Malaysia. She also holds a Masterโ€™s and Bachelorโ€™s degree in Applied Linguistics from University Putra Malaysia. Dr. Madanchian’s career spans over 8 years, blending industrial and academic experiences. She has worked with both SMEs and a Big Four firm (KPMG), and has held various roles such as Assistant Marketing Manager, Business Development Manager, and Director. Dr. Madanchian is passionate about business management, leadership, and R&D, and her contributions have been published in reputable journals and books. She has authored over fifteen scientific articles, six book chapters, and one book in the field of leadership.

Profile

Google Scholar

Education

๐ŸŽ“ Dr. Mitra Madanchian has an impressive academic background, earning her PhD in Business Management from Universiti Teknologi MARA (UiTM), Malaysia, in 2020. She also holds a Master’s degree in English Language (Linguistics) from University Putra Malaysia (UPM) (2012) and a Bachelor’s degree in the same field from UPM (2008). Additionally, she has a Diploma in Computer Science from Khazan College, Iran (2003), and a Diploma in Mathematical Science from Ghods High School, Iran (1998).

Experience

๐Ÿ’ผ Dr. Mitra Madanchian’s professional journey began in 2013 as an Assistant Marketing Manager at Asanware Sdn Bhd, Malaysia. She later became a Business Development Manager at Hamta Business Solution Sdn Bhd. Currently, she serves as the Director at Hamta Business Corporation in Vancouver, Canada, where she oversees management consulting, training, and R&D activities. Dr. Madanchian has also worked as a Scientific Researcher at Requiti Capital Ltd, Vancouver, where she developed research plans and proposals, and analyzed research data.

Research Interests

๐Ÿ” Dr. Mitra Madanchian’s research interests are diverse and include Leadership, Business Management, Marketing Management, Management Information Systems, Performance Management, and Financial Technology (FinTech). Her academic endeavors have been published in notable journals and she continues to contribute to the fields of business management and R&D.

Awards

๐Ÿ† Throughout her career, Dr. Mitra Madanchian has been an active member of several professional associations, including the Scientific and Technical Research Association (STRA), Society of Digital Information (SDIWC), and Universal Association of Arts And Management Professionals (The IRED). She is also a Professional Member of the Institute For Engineering Research and Publication (IFERP) and has served on the editorial boards of several international journals.

Publications

Role of Effective Leadership on Empowerment, Effective Communication, and Motivation in Customer Service

Scrutiny of E-Mail Discourse Features in an Organization Using Speech Act Theory

Conceptual Model to Assess Factors Affecting Productivity of University Staff; An Exploratory Factor Analysis Approach

Advancement of Cybersecurity and Information Security Awareness to Facilitate Digital Transformation: Opportunities and Challenges

Empirical Modeling of Customer Satisfaction for E-Services in Cross-Border E-Commerce