ShengHsun Hsu | AI | Best Researcher Award

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Prof. ShengHsun Hsu | AI | Best Researcher Award

Prof. ShengHsun, Chung Hua University, Taiwan

📚 Prof. Sheng-Hsun Hsu is a full-time professor in the Department of Management at Chu Hua University, Taiwan. He holds a Ph.D. in Business Administration from Taiwan University (2004), a Master’s in Computer Science, and a Bachelor’s in Mathematics from Hsing Hua University.💼 With extensive experience, Prof. Hsu has served as an Assistant Professor, Associate Professor, and Chairman at Chu Hua University. His research focuses on organizational behavior, customer satisfaction indices, brand equity, and psychological capital. His work has been published in top journals like Total Quality Management & Business Excellence and Service Industries Journal (SSCI).🌟 In addition to his academic contributions, Prof. Hsu actively supports curriculum planning, faculty evaluations, and student recruitment efforts. His expertise bridges business management and research, with a commitment to fostering excellence.

Publication Profile

Scopus

📘 Academic Journey

Prof. Sheng-Hsun Hsu boasts an impressive academic background spanning business administration, computer science, and mathematics. He earned his Ph.D. in Business Administration from Taiwan University (1999–2004) 🎓. Before that, he completed his Master’s degree in Computer Science at Hsing Hua University (1993–1995) 💻. His academic journey began with a Bachelor’s degree in Mathematics from the same institution (1990–1993) ➗. This diverse educational foundation reflects his interdisciplinary expertise and commitment to excellence in both theoretical and practical domains of knowledge. 🌟

 

💼 Professional Experience

Prof. Sheng-Hsun Hsu has had an illustrious career at Chu Hua University, contributing as a scholar and leader. He began as an Assistant Professor (1993–1996) 🧑‍🏫, advancing to Associate Professor (1996–1999) 📚. His dedication and expertise led to his promotion as a Professor, a position he has held since May 2014 🌟. Beyond teaching and research, he served as Chairman of the university from August 2013 to August 2014 🏢. Prof. Hsu’s professional journey reflects his commitment to academia and leadership in higher education. 🎓

 

📊 Research Focus

Prof. Sheng-Hsun Hsu’s research primarily revolves around Total Quality Management (TQM) and Business Excellence, particularly focusing on improving organizational performance and strategic alignment in various industries. His studies explore the integration of information technology (IT) and business strategies, emphasizing IT competence and the roles of CIOs in business success. Additionally, Prof. Hsu has contributed to the development of models for customer satisfaction, alumni satisfaction, and psychological capital in organizational contexts. His work bridges behavioral economics, higher education, and business management, aiming to enhance both quality management and consumer experience. 🔍📈

 

Publication Top Notes  

  • A GPT-Aided literature review process for total quality management and business excellence (2024) – Cited by 1
  • The effects of IT chargeback on strategic alignment and performance: the contingent roles of business executives’ IT competence and CIOs’ business competence (2023) – Cited by 3
  • Topic analysis of studies on total quality management and business excellence: an update on research from 2010 to 2019 (2022) – Cited by 11
  • Constructing a consumption model of fine dining from the perspective of behavioral economics (2018) – Cited by 8
  • Developing a decomposed alumni satisfaction model for higher education institutions (2016) – Cited by 23
  • Building business excellence through psychological capital (2014) – Cited by 15
  • Developing a decomposed customer satisfaction index: An example of the boutique motel industry (2013) – Cited by 4
  • Constructing an index for brand equity: A hospital example (2011) – Cited by 31
  • A dyadic perspective on knowledge exchange (2010) – Cited by 6
  • A two-stage architecture for stock price forecasting by integrating self-organizing map and support vector regression (2009) – Cited by 108

Dharmapuri Siri | Deep Learning | Best Researcher Award

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Dharmapuri Siri | Deep Learning | Best Researcher Award

Assistant Prof Dharmapuri Siri, Gokaraju Rangaraju Institute of Engineering and Technology, india.

Dr. D. Siri is a dedicated academic professional with over 11 years of experience in teaching and research in the field of Computer Science and Engineering. She has served as an Assistant Professor in various prestigious institutions, including TRR Engineering College and Malla Reddy Engineering College for Women. Her work is focused on the intersection of software quality, machine learning, and data analysis.

Profile:

orcid

Education📚:

Dr. D. Siri holds a Ph.D. in Computer Science and Engineering from JJT University, obtained in 2022. She completed her M.Tech in Computer Science and Engineering from JNTU Hyderabad in 2010, and her B.Tech in Information Technology from the same university in 2006.

Professional Experience👩‍🏫:

Dr. Siri began her teaching career in 2008 as an Assistant Professor in the Department of Information Technology at TRR Engineering College, where she worked until 2013. She then transitioned to the Department of Computer Science and Engineering at TRR College of Engineering, continuing her role until 2017. From 2017 to 2019, she served as an Assistant Professor at Malla Reddy Engineering College for Women. Throughout her career, she has gained extensive experience in teaching core subjects like C, C++, Java, DBMS, Software Testing Methodologies, and Software Engineering.

Research Interests🔍:

Dr. Siri’s research interests are primarily focused on software quality improvement, bug prediction using machine learning techniques, and the application of deep learning methods to various domains such as sentiment analysis, medical imaging, and automated systems. Her work in these areas has been presented at numerous national and international conferences.

Awards and Recognitions🏆:

Dr. Siri’s innovation and contributions to the field have been recognized through a published patent titled “A Vehicle with Smart Biometric Device” (Application No. 201841019142-A), which was published in The Patent Office Journal No. 22/2018 on June 1, 2018.

Research Contributions 📚:

Dr. Siri’s research is primarily centered around software quality, machine learning, and data analysis. Her notable works include studies on bug prediction models, software engineering methodologies, and the application of machine learning techniques in software quality improvement. Her Ph.D. thesis on “Bug Prediction Model for Software Quality Using Machine Learning Techniques” reflects her deep commitment to enhancing software reliability and performance.

Publication:

Publications 📝:
Dr. Siri has published several research articles in reputed journals. Here are some of her notable publications:

  1. A Study on Bug Prediction in Determining The Software Quality | History Research Journal | 2019.
  2. Machine Learning Techniques on Historical Software Bugs for Prediction of Software Bugs | Think India Journal | 2019.
  3. Analyzing Public Sentiment on the Amazon Website: A GSK-Based Double Path Transformer Network Approach for Sentiment Analysis | IEEE Access | 2024.
  4. Segmentation Using the IC2T Model and Classification of Diabetic Retinopathy Using the Rock Hyrax Swarm-Based Coordination Attention Mechanism | IEEE Access | 2024.

 

 

 

Souhail Dhouib | Artificial Intelligence | Best Researcher Award

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Prof. Souhail Dhouib | Artificial Intelligence | Best Researcher Award

Full Professor, Higher Institute of Industrial Management, University of Sfax, Tunisia

Prof. Souhail Dhouib 🌟 is a distinguished academic and industry expert specializing in Artificial Intelligence and Operations Research. He holds the position of Full Professor at the Higher Institute of Industrial Management, University of Sfax, Tunisia, where he has taught for over twenty years. Prof. Dhouib is renowned for his pioneering work in matrix optimization concepts and has made significant contributions to decision-making and planning through his innovative algorithms and methodologies.

ProfileArtificial Intelligence 

ORCID

 

Education

Prof. Dhouib completed his Ph.D. in Quantitative Methods from the Faculty of Management and Economics Sciences, Sfax University, Tunisia (2004-2009). He also holds a Master’s degree in Operations Research and Production Management (2001-2003) and a Bachelor’s degree in Management Information Systems (1992-1996), all from the same institution. 📚🎓

Experience

Prof. Dhouib has over twenty years of extensive experience in both academia and industry. He has served as a General Manager and an Analyst Programmer, where he was involved in software development and implementation. His academic roles include positions as a Full Professor, Associate Professor, and Assistant Professor, contributing significantly to teaching and research. 🏢💻

Research Interests

Prof. Dhouib’s research focuses on Artificial Intelligence, Operations Research, and Optimization algorithms. His work spans various domains, including Logistics, Supply Chain Management, Business Intelligence Systems, and ERP. He is particularly known for his Dhouib-Matrix methods and their applications in cognitive robotics, multi-objective optimization, and path planning. 🔍📈

Awards

Prof. Dhouib’s contributions to the field have been recognized through numerous journal publications, although specific awards are not listed in the provided information. His innovative research and development efforts continue to impact the industry and academia. 🏆👏

Publications

Intelligent Path Planning for Cognitive Mobile Robot Based on Dhouib-Matrix-SPP Method (2024) – Cognitive Robotics

Multi-Start Constructive Heuristic through Descriptive Statistical Metrics: The Dhouib-Matrix-4 Metaheuristic (2024) – International Journal of Operational Research

Innovative Method to Solve the Minimum Spanning Tree Problem: The Dhouib-Matrix-MSTP (DM-MSTP) (2024) – Results in Control and Optimization

Enhancing the Dhouib-Matrix-4 Metaheuristic to Generate the Pareto Non-Dominated Set Solutions for Multi-objective Travelling Salesman Problem: The DM4-PMO Method (2024) – Results in Control and Optimization

Faster than Dijkstra and A* Methods for the Mobile Robot Path Planning Problem Using Four Movement Directions: The Dhouib-Matrix-SPP-4 (2024) – Advances in Transdisciplinary Engineering, Mechatronics and Automation Technology

Zhidong CAO | Artificial Intelligence Award | Best Researcher Award

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Mr Zhidong CAO | Artificial Intelligence Award | Best Researcher Award

Mr Zhidong CAO, Institute of Automation, Chinese Academy of Sciences, China

Zhidong Cao 🎓 is a prominent Professor and Principal Investigator at the National Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences. He holds a Doctor of Science degree from the Institute of Geographic Sciences and Natural Resources Research, CAS. With over a decade of experience at CAS, Cao has contributed significantly to AI and automation research, leading over 20 national-level projects. His scholarly impact includes 120+ papers in prestigious journals and international conferences, along with authoring 3 books. Cao has been honored with multiple awards, highlighting his substantial contributions to Chinese scientific advancement.

Publication profile

Scopus

Education

Zhidong Cao 📚 pursued a rigorous academic journey that culminated in a Ph.D. from the Institute of Geographic Sciences and Natural Resources Research at the Chinese Academy of Sciences, completed from September 2005 to July 2008. Prior to his doctoral studies, he earned a Master’s degree from Changsha University of Science and Technology, spanning from September 2002 to July 2005. Cao’s educational foundation began with a Bachelor’s degree, also from Changsha University of Science and Technology, covering the period from September 1997 to July 2001. These academic milestones provided him with a comprehensive background for his subsequent influential research career in artificial intelligence and automation.

Experience