Yingchun Niu l Data Processing | Research Excellence Award

Published on by Research Data Analysis

Mr. Yingchun Niu l Data Processing | Research Excellence Award

Hebei University | China

Mr. Yingchun Niu is a researcher in intelligent information processing with a doctoral background in Control Science and Engineering and strong expertise in artificial intelligence and computer vision. He holds a Ph.D., M.S., and B.S. in engineering and computing-related disciplines and has professional experience as a researcher and faculty member in cyberspace security and computer science. His research interests include point cloud semantic segmentation, uncertainty-aware learning, big data analytics, and visual understanding. His research skills cover deep learning, weakly supervised learning, 3D vision, model uncertainty estimation, and SCI journal publishing, with scholarly recognition demonstrated through high-impact international publications contributing to trustworthy and efficient intelligent perception systems.

Citation Metrics (Scopus)

200
150
100
50
0

Citations
33

Documents
10

h-index
4

Citations

Documents

h-index


View Scopus Profile

Featured Publications

Weakly Supervised Point Cloud Semantic Segmentation with the Fusion of Heterogeneous Network Features

– Image and Vision Computing, 2024
Beyond Accuracy: More Trustworthy Weakly Supervised Point Cloud Semantic Segmentation with Primary–Auxiliary Structure

– Computers & Electrical Engineering, 2024
Weakly Supervised Point Cloud Semantic Segmentation Based on Scene Consistency

– Applied Intelligence, 2024
Neighborhood Spatial Aggregation MC Dropout for Efficient Uncertainty-Aware Semantic Segmentation in Point Clouds

– IEEE Transactions on Geoscience and Remote Sensing, 2023
Beyond-Skeleton: Zero-Shot Skeleton Action Recognition Enhanced by Supplementary RGB Visual Information

– Expert Systems with Applications, 2025

Ansar Shah l Big Data | Research Excellence Award

Published on by Research Data Analysis

Assoc. Prof. Dr. Ansar Shah l Big Data | Research Excellence Award

University of Southern Punjab Multan | Pakistan

Dr. Ansar Munir Shah is an Associate Professor of Computer Science with extensive experience in teaching, research, academic leadership, and curriculum development at undergraduate and graduate levels. Dr. Ansar Munir Shah holds a PhD in Computer Science from the University of Technology Phnom Penh, Cambodia, and is an HEC-approved PhD supervisor with strong academic credentials. Dr. Ansar Munir Shah has served in prominent academic roles at EM&E College (NUST), King Khalid University, and ISP Multan, earning multiple awards for committee service and academic excellence. Dr. Ansar Munir Shah’s research interests include wireless sensor networks, IoT, cloud computing, cybersecurity, and AI-driven network and data security.

Citation Metrics (Scopus)

1400
1000
600
200
0

Citations
134

Documents
15

h-index
8

Citations

Documents

h-index


View Scopus Profile View Orcid Profile

Featured Publications

Big Data Meets Jugaad: Cultural Innovation Strategies for Sustainable Performance in Resource-Constrained Developing Economies
– Sustainability, 2025
DOI: 10.3390/su17157087
Dynamic and Integrated Security Model in Inter Cloud for Image Classification
– Foundation University Journal of Engineering and Applied Sciences, 2024
DOI: 10.33897/fujeas.v4i1.874
Efficient Energy and Delay Reduction Model for Wireless Sensor Networks
– Computer Systems Science and Engineering, 2023
DOI: 10.32604/csse.2023.030802
ILSM: Incorporated Lightweight Security Model for Improving QoS in WSN
– Computer Systems Science and Engineering, 2023
DOI: 10.32604/csse.2023.034951
Improved-Equalized Cluster Head Election Routing Protocol for Wireless Sensor Networks
– Computer Systems Science and Engineering, 2023
DOI: 10.32604/csse.2023.025449

Bin Zhang l Semantic Segmentation for Autonomous Driving | Research Excellence Award

Published on by Research Data Analysis

Assoc. Prof. Dr. Bin Zhang l Semantic Segmentation for Autonomous Driving | Research Excellence Award

Kanagawa University | Japan

Assoc. Prof. Dr. Bin Zhang is an associate professor and principal investigator specializing in intelligent machines, robotics, and AI-driven systems. Education includes a Ph.D. and M.S. in Mechanical and Intelligent Systems Engineering from The University of Electro-Communications and a B.S. in Automation. Professional experience spans academia and industry, with roles in mechanical engineering education and robotics research. Research interests focus on service robots, autonomous navigation, human–robot interaction, perception, deep learning, and assistive systems. Research skills include robot design, control, SLAM, computer vision, sensor fusion, and machine learning. Awards and honors recognize excellence in robotics, AI applications, and assistive technologies. Overall, Assoc. Prof. Dr. Bin Zhang contributes impactful research and education advancing intelligent robotic systems for society.

Citation Metrics (Scopus)

800
600
400
200
0

Citations
328

Documents
76

h-index
9

Citations

Documents

h-index


View Scopus Profile

Featured Publications

A Study on Improving the Accuracy of Semantic Segmentation for Autonomous Driving
Computers, Materials & Continua, 2026 · Open Access
A Quantitative Diagnosis Method for Assessing the Severity of Intake Filter Blockage of Heavy-Duty Gas Turbines Based on the Fusion of Physical Mechanisms and Deep Learning
Applied Thermal Engineering, 2025

A Performance Diagnosis Method for Full Gas-Path Components of Heavy-Duty Gas Turbines Based on Model- and Data-Hybrid Drive

Proceedings of the Chinese Society of Electrical Engineering, 2025

An End-to-End Pillar Feature-Based Neural Network Improved by Attention Modules for Object Detection of Autonomous Vehicles

IEEJ Transactions on Electrical and Electronic Engineering, 2025

2D Mapping Considering Potential Occupancy Space of Mobile Objects for a Guide Dog Robot

IEEJ Transactions on Electronics, Information and Systems, 2025

Sibel Cevik Bektas l Energy Management/Optimization | Research Excellence Award

Published on by Research Data Analysis

Dr. Sibel Cevik Bektas l Energy Management/Optimization | Research Excellence Award

Karadeniz Technical University | Turkey

Dr. Sibel Cevik Bektas is an electrical and electronics engineering researcher specializing in energy systems and renewable integration. Education includes undergraduate, postgraduate, and doctoral degrees in electrical engineering from Karadeniz Technical University. Professional experience centers on academic research, peer-reviewed publications, conference contributions, and leadership of a TUBITAK-funded project. Research interests cover optimal energy management, power systems, load forecasting, solar irradiance prediction, and data-driven optimization. Research skills include machine learning, deep learning, time-series forecasting, optimization, MATLAB modeling, and power system analysis. Awards and honors include competitive national research funding. Overall, Dr. Sibel Cevik Bektas contributes impactful, applied solutions advancing energy systems.

Citation Metrics (Scopus)

40
30
20
10
0

Citations
13

Documents
5

h-index
2

Citations

Documents

h-index


View Scopus Profile

Featured Publications

Scenario-Based Data-Driven Approaches for Short-Term Load Forecasting
Energy and Buildings, 2026

Deme Hirko l Water Engineer | Research Excellence Award

Published on by Research Data Analysis

Dr. Deme Hirko l Water Engineer | Research Excellence Award

 Jimma University | Ethiopia

Dr. Deme Hirko is a motivated, results-oriented civil engineer with a PhD (defended November 2025, Stellenbosch University) and over 10 years of academic and research experience in water resources engineering, hydrology, and climate change modelling. His education spans a PhD in Civil Engineering, an MSc in Water Resources and Irrigation Engineering, and a BSc in Hydraulic and Water Resources Engineering. Professionally, Dr. Deme Hirko has served as lecturer, teaching assistant, hydrology analyst, site engineer, and departmental coordinator. His research interests include climate-resilient water allocation, hydrological modelling, and AI applications. He possesses strong skills in machine learning, WEAP, Python, GIS, and HPC, has supervised numerous theses, received institutional recognition for leadership, and is committed to advancing sustainable, data-driven water management through postdoctoral research.

View Orcid Profile

Featured Publications

Dongxing Yu | Machine Learning and AI Applications | Research Excellence Award

Published on by Research Data Analysis

Assoc. Prof. Dr. Dongxing Yu | Machine Learning and AI Applications | Research Excellence Award

Sanda University | China

Assoc. Prof. Dr. Dongxing Yu is an interdisciplinary scholar with a Ph.D. in Literature, serving as Associate Professor and Director of the Institute for Sustainable Development in Education at Shanghai Sanda University. Assoc. Prof. Dr. Dongxing Yu holds a Ph.D. from East China Normal University, an M.A. from Shandong Normal University, and a B.A. from Qingdao University. His professional experience spans founding China’s first university Educational Metaverse, leading VR education labs, and holding visiting positions at Harvard, UIUC, Aarhus, and Regina. His research interests include linguistics, AI in education, cognitive science, VR, and language policy, with skills in educational technology design, interdisciplinary research, and academic leadership. Assoc. Prof. Dr. Dongxing Yu has received multiple national awards for teaching innovation and scholarship, concluding a career dedicated to shaping intelligent, sustainable, and immersive futures in education.

Citation Metrics (Scopus)

40
30
20
10
0

Citations
32

Documents
15

h-index
3

Citations

Documents

h-index


View Scopus Profile View Orcid Profile View Google Scholar Profile

Featured Publications

Mohammed Almulla | Prescriptive Analytics | Research Excellence Award

Published on by Research Data Analysis

Prof. Mohammed Almulla | Prescriptive Analytics | Research Excellence Award

Kuwait University | Kuwait

Prof. Mohammed Almulla is a distinguished computer scientist with a Ph.D. from McGill University, Canada. He has served Kuwait University for over three decades, progressing from Assistant Professor to Professor, and held key administrative roles including Department Chair and Acting Vice President. His research focuses on artificial intelligence, automated theorem proving, database systems, and digital transformation in education. He contributed to ABET accreditation, ICT infrastructure, and eLearning initiatives, and actively participates in international conferences and journal reviews. Recognized for his leadership and innovation, he has received awards for informatics excellence, fostering advancements in computing education and research.

Citation Metrics (Scopus)

800
600
400
200
0

Citations
613

Documents
72

h-index
14

Citations

Documents

h-index


View Scopus Profile View Orcid Profile

Top 5 Publications

Data-Driven Anesthesia: An Ensemble Model for Propofol and Remifentanil Dosage Control During Medical Surgery

International Journal of Research and Scientific Innovation, 2025
DOI: 10.51244/ijrsi.2025.121500017p
Authors: Abas Almaayofi, Farah Almulla, Mohammed A. Almulla
A Trust-Based Global Expert System for Disease Diagnosis Using Hierarchical Federated Learning

Journal of Engineering Research, 2025
DOI: 10.1016/j.jer.2025.03.001
Authors: Farah M. Almulla, Mohammed A. Almulla
A Novel CLIPS-Based Medical Expert System for Migraine Diagnosis and Treatment Recommendation

Kuwait Journal of Science, 2025
DOI: 10.1016/j.kjs.2024.100310
Author: Mohammed A. Almulla
On the Effect of Prior Knowledge in Text-Based Emotion Recognition

International Journal of Research and Scientific Innovation, 2024
DOI: 10.51244/ijrsi.2024.1108005
Author: Mohammed A. Almulla
Facial Expression Recognition Using Deep Convolution Neural Networks

IEEE Annual Congress on Artificial Intelligence of Things (AIoT), 2024
DOI: 10.1109/aiot63253.2024.00022
Author: Mohammed A. Almulla

Huan Liu | Earth Space Exploration | Research Excellence Award

Published on by Research Data Analysis

Prof. Huan Liu | Earth Space Exploration | Research Excellence Award

China University of Geosciences | China

Huan Liu is a Professor in automation and instrumentation with a strong academic foundation in electronic engineering and sensing technologies. He earned his PhD with research focused on high-precision magnetometers and completed joint doctoral training internationally. His professional experience spans academic research, teaching, and leadership in control technology and intelligent sensing. His research interests include magnetic field measurement, sensor arrays, instrumentation, multi-information fusion, and intelligent detection systems for environmental and security applications. He has received numerous national and international awards for research excellence, editorial service, and innovation. His work significantly advances precision sensing technologies and interdisciplinary engineering research.

View Orcid Profile

Featured Publications


A Multi-Parameter Integrated Magnetometer Based on Combination of Scalar and Vector Fields

– IEEE Transactions on Industrial Electronics, 2022

A New Digital Single-Axis Fluxgate Magnetometer According to the Cobalt-Based Amorphous Effects

– Review of Scientific Instruments, 2022

An Overview of Sensing Platform-Technological Aspects for Vector Magnetic Measurement: A Case Study of the Application in Different Scenarios

– Measurement, 2022

Anomaly Detection of Complex Magnetic Measurements Using Structured Hankel Low-Rank Modeling and Singular Value Decomposition

– Review of Scientific Instruments, 2022

Multi-Sensor Measurement and Data Fusion

– IEEE Instrumentation & Measurement Magazine, 2022

Bushra Abro | Artificial Intelligence | Research Excellence Award

Published on by Research Data Analysis

Ms. Bushra Abro | Artificial Intelligence | Research Excellence Award

National Centre Of Robotics And Automation | Pakistan

Ms. Bushra Abro is a Computer and Information Engineer with a strong foundation in Electronic Engineering. She holds a Master’s degree in Computer and Information Engineering and a Bachelor’s in Electronic Engineering from Mehran University of Engineering & Technology, Pakistan, graduating top of her class. With professional experience as a Research Associate and Assistant at the National Centre of Robotics and Automation, she has contributed to projects in deep learning, computer vision, federated learning, and real-time condition monitoring. Her work has earned multiple publications and awards, including a gold medal at the All Pakistan IEEEP Student Seminar. She is passionate about advancing AI-driven technological innovation.

View Orcid Profile

Featured Publications


Towards Smarter Road Maintenance: YOLOv7-Seg for Real-Time Detection of Surface Defects

– Book Chapter, 2025Contributors: Bushra Abro; Sahil Jatoi; Muhammad Zakir Shaikh; Enrique Nava Baro; Bhawani Shankar Chowdhry; Mariofanna Milanova


Federated Learning-Based Road Defect Detection with Transformer Models for Real-Time Monitoring

– Computers, 2025Contributors: Bushra Abro; Sahil Jatoi; Muhammad Zakir Shaikh; Enrique Nava Baro; Mariofanna Milanova; Bhawani Shankar Chowdhry


Harnessing Machine Learning for Accurate Smog Level Prediction: A Study of Air Quality in India

– VAWKUM Transactions on Computer Sciences, 2025Contributors: Sahil Jatoi; Bushra Abro; Sanam Narejo; Yaqoob Ali Baloch; Kehkashan Asma


Learning Through Vision: Image Recognition in Early Education

– ICETECC Conference, 2025Contributors: Sahil Jatoi; Bushra Abro; Shafi Jiskani; Yaqoob Ali Baloch; Sanam Narejo; Kehkashan Asma


From Detection to Diagnosis: Elevating Track Fault Identification with Transfer Learning

– ICRAI Conference, 2024Contributors: Sahil Jatoi; Bushra Abro; Noorulain Mushtaq; Ali Akbar Shah Syed; Sanam Narejo; Mahaveer Rathi; Nida Maryam

Ali Ali | Artificial Intelligence and water Resources Management | Research Excellence Award

Published on by Research Data Analysis

Dr. Ali Ali | Artificial Intelligence and water Resources Management | Research Excellence Award

Brunel University London | United Kingdom

Dr. Ali Ali is an emerging researcher and PhD student in Civil Engineering at Brunel University London, specializing in Artificial Intelligence applications for water resources management. He holds a BEng (Hons) in Civil Engineering from Brunel University and a Diploma with Distinction from Kaplan International College, demonstrating strong academic performance. Dr. Ali has extensive experience with civil engineering and computational software, including AutoCAD, Groundwater Modelling System (GMS), ABAQUS, MATLAB, and programming languages Python and R, enabling advanced modeling, simulation, and data analysis. He has applied his expertise in designing steel and concrete structures while addressing economic, social, and environmental challenges. His professional experience includes multiple Graduate Teaching Assistant roles in Civil Engineering and Computer Science, supporting both undergraduate and master’s students with lab sessions, course material, tutoring, and programming instruction. Additionally, he gained practical industry experience through internships in project management and turbomachinery design, enhancing his skills in project coordination and operational efficiency. Dr. Ali’s research interests focus on optimizing water resources management using AI, sustainable infrastructure design, and hydrological modeling. He has contributed to academic documents, reports, and simulations, with ongoing work aimed at publication in peer-reviewed journals. His work demonstrates a commitment to bridging theoretical research and practical engineering solutions, advancing innovation in civil and environmental engineering.

View Scopus Profile

Featured Publication

Aquifer-specific flood forecasting using machine learning: A comparative analysis for three distinct sedimentary aquifers – Science of the Total Environment, 2025 | Open Access