Ali Raza | Computer Science and Artificial Intelligence | Young Scientist Award

Posted on by Popular Scientist

Mr. Ali Raza | Computer Science and Artificial Intelligence | Young Scientist Award

lecturer The University Of Lahore Pakistan

Ali Raza is a passionate researcher, educator, and developer specializing in computer science. With a strong academic background and extensive experience in machine learning, deep learning, and computer vision, he has contributed significantly to cutting-edge research. Currently serving as a Lecturer at the University of Lahore, Ali has also worked as a Visiting Lecturer at KFUEIT and a Full Stack Python Developer in the software industry. His expertise lies in AI-driven solutions, research writing, and technological advancements in artificial intelligence.

Profile

Google Scholar

Education 🎓

  • MS Computer Science (2021-2023) | Khwaja Fareed University of Engineering and Information Technology (KFUEIT), CGPA: 3.93
  • BS Computer Science (2017-2021) | KFUEIT, CGPA: 3.47

Professional Experience 💼

  • Lecturer | University of Lahore (2024 – Present)
  • Visiting Lecturer | KFUEIT (2022 – 2023)
  • Full Stack Python Developer | BuiltinSoft Software Industry (2020 – 2021)

Research Interests 📈

Ali Raza’s research focuses on artificial intelligence, machine learning, deep learning, and computer vision. He is particularly interested in developing AI-driven solutions for medical imaging, agricultural applications, and energy consumption prediction. His contributions span multiple domains, showcasing his ability to integrate AI with real-world challenges.

Awards & Certifications 🏆

  • Best Researcher Award | ScienceFather (26/06/2024)
  • Use of Generative AI in Higher Education | Punjab Higher Education Commission
  • Machine Learning with Python (ML0101EN) | IBM Developer Skills Network

Publications Top Notes: 📚

Ali Raza has authored 61 research publications in reputed journals with high impact factors. Below are some of his recent publications:

“Novel Transfer Learning Approach for Hand Drawn Mathematical Geometric Shapes Classification” (2025) PeerJ Computer Science (IF: 3.8)

“Citrus Diseases Detection Using Innovative Deep Learning Approach and Hybrid Meta-Heuristic” (2025) PLOS ONE (IF: 2.9)

“Novel Deep Neural Network Architecture Fusion for Energy Consumption Prediction” (2025) PLOS ONE (IF: 2.9)

“Novel Transfer Learning Based Bone Fracture Detection Using Radiographic Images” (2025) BMC Medical Imaging (IF: 2.9)

“Novel Transfer Learning Approach for Detecting Infected and Healthy Maize Crops” (2025) Food Science & Nutrition (IF: 3.5)

“BdSentiLLM: A Novel LLM Approach to Sentiment Analysis of Product Reviews” (2024) IEEE Access (IF: 3.4)

“An Innovative Artificial Neural Network Model for Smart Crop Prediction” (2024) PeerJ Computer Science (IF: 3.8)

“Enhanced Interpretable Thyroid Disease Diagnosis Using Synthetic Oversampling and Machine Learning” (2024) BMC Medical Informatics (IF: 3.3)

“Diagnosing Epileptic Seizures Using EEG Data and Independent Components” (2024) Digital Health (IF: 3.7)

“A Novel Meta Learning Based Approach for Thyroid Syndrome Diagnosis” (2024) PLOS ONE (IF: 2.9)

 

Lakshmi narasimhan Srinivasagopalan | Computer Science | Excellence in Scientific Innovation Award

Posted on by Popular Scientist

Mr. Lakshmi narasimhan Srinivasagopalan | Computer Science | Excellence in Scientific Innovation Award

Senior Technical lead Incedo United States

A seasoned Technology Evangelist with over 16 years of experience in digital transformation, enterprise solution architecture, and program management. Adept at leading large-scale IT projects, designing innovative solutions, and driving business transformation across healthcare, insurance, and technology industries. Recognized for expertise in cloud computing, DevOps, and Agile methodologies, delivering scalable enterprise applications with a focus on regulatory compliance (HIPAA) and process automation.

Profile

Research Gate

Google Scholar

Orcid

🎓 Education

  • MBA in Finance & Financial Management Services – National Institute of Business Management (2010)
  • Masters in Information Technology – Bishop Heber College, Trichy (2007)
  • Bachelor of Computer Science – Urumu Dhana Lakshmi College, Trichy (2005)

💼 Professional Experience

  • .Net Full Stack Developer, Moola, Texas, USA (2023 – Present) – Developed financial advisory applications integrating Angular and .Net Core, optimizing performance and database queries.
  • Senior .Net Lead, Momentum (Parallon), USA (2022 – 2023) – Led insurance data management system, implementing Azure Functions for real-time processing.
  • Sr. Technical Lead/Architect, Billing Center Integration (Amerisure), USA (2022) – Designed scalable API gateways for microservices communication.
  • Sr. Technical Lead, Lease Plan, USA (2021 – 2022) – Developed fleet management solutions using MVC frameworks and Angular.
  • Sr. Developer/Sr. Technical Lead, Standard Chartered Bank (2019 – 2021) – Managed critical banking operations architecture ensuring compliance.

🔬 Research Interests

Expertise in healthcare technology, cloud architecture, DevOps, artificial intelligence (AI), predictive analytics, and blockchain. Focused on leveraging technology for insurance risk assessment, premium pricing optimization, and healthcare system efficiency.

🏆 Awards & Honors

  • Global Recognition Award – GRA (2024)
  • Indian Achievers Award – IAF (2024)
  • International Research Excellence and Best Paper Award – SCIFAX (2024)
  • Business Community Award – Professional of the Year (2023)
  • Economic Development Award for Excellence in Healthcare (2021)
  • Outstanding Accomplishment – Cognizant (2019)
  • Star Team Award – TCS (2013)

📚 Publications Top Notes:

Predictive Analytics for Healthcare Insurance Risk Assessment Using Ensemble Learning Models – ISCSITR-IJCA (2024) 🔗

Reinforcement Learning for Optimizing Healthcare Insurance Premium Pricing – IJCET (2024) 🔗

Enhancing Health Insurance Portals: Development and Maintenance of Multi-Portal Architecture – IJSR (2024) 🔗

Optimizing RM Solutions for Small Business Health Care Benefits – IJSR (2024) 🔗

Leveraging Technology for Healthcare Improvement: The Barrier Tracking Tool (BTT) – IJSR (2024) 🔗

The Impact and Future of Computer Applications in Various Sectors using the IoT concept of Augmented Reality

Examining the Link Between Healthcare Coverage Structures and Quality Standards for Achieving Sustainable Long-Term Health Outcomes

Enabling Interoperability in Healthcare Insurance Systems: A .NET Core-Based Framework for Flexible and Standardized Information Exchange

The Impact and Future of Computer Applications in Various Sectors using the IoT concept of Augmented Reality

Xiang Ma | Computer Science and Artificial Intelligence | Best Researcher Award

Posted on by Popular Scientist

Mr. Xiang Ma | Computer Science and Artificial Intelligence | Best Researcher Award

Postgraduate sichuan unviersity China

📖 Xiang Ma is a student at Sichuan University specializing in Electronic Information and Control Engineering. His research focuses on developing innovative solutions for image super-resolution reconstruction in construction site scenarios. By leveraging computer vision, machine learning, and engineering principles, Xiang’s work aims to improve image quality, safety, and monitoring efficiency in real-world construction environments.

Profile

Orcid

Education

🎓 Xiang Ma is pursuing a degree in Electronic Information and Control Engineering at Sichuan University. With a strong academic foundation, he integrates principles of electronic systems, computer vision, and machine learning in his research.

Experience

🔧 Xiang Ma has contributed to three completed and ongoing research projects, including collaborations with CSCEC First Bureau Technology R&D Program and the Sichuan Province Major Special Project on Intelligent Manufacturing and Robotics. His work bridges academic research with industrial applications in safety and automation technologies for construction sites.

Research Interest

🔍 Xiang Ma is passionate about Image Super-Resolution Reconstruction, with a focus on enhancing low-resolution images affected by noise in construction scenarios. His research includes proposing the Lightweight Feature Enhancement Network (LFEN) to improve visual perception, edge detection, and noise immunity using advanced machine learning techniques.

Awards

🏆 Xiang Ma is applying for the Best Researcher Award for his contributions to image processing technologies in construction scenarios. His work has been recognized for its innovative approach to leveraging lightweight network designs for practical applications.

Publications Top Notes: 

📚 Xiang Ma has published three research papers in prestigious journals:

Liu, Y., Ma, X. & Cheng, J. (2024). Lightweight Feature Enhancement Network for Image Super-Resolution Reconstruction at Construction Sites. Arab Journal of Science and Engineering. Published Year: 2024. Cited by: 15 articles.

 

Ke-Lin Du | Artificial Neural Networks | Best Researcher Award

Posted on by Popular Scientist

Prof. Dr. Ke-Lin Du | Artificial Neural Networks | Best Researcher Award

Professor Guangdong University of Science and Technology China

Dr. Ke-Lin Du is a distinguished professor with a career spanning academia and industry. He received his PhD in Electrical Engineering from the Huazhong University of Science and Technology, China, in 1998. Currently, he serves as a professor at the Faculty of Mechanical and Electronic Engineering at Guangdong University of Science and Technology, Dongguan, China, since 2024. His journey includes impactful roles at leading institutions such as Concordia University, Huawei Technologies, and top research centers in Hong Kong. With a commitment to advancing technology, he has contributed significantly to signal processing, wireless communications, and machine learning.

Profile

Google Scholar

Orcid

Education 🎓

  • PhD in Electrical Engineering – Huazhong University of Science and Technology, China (1998)

Experience 💼

  • Professor | Guangdong University of Science and Technology (2024–Present)
  • Affiliate Professor | Concordia University (2011–2024)
  • Research Staff | Concordia University (2001–2010)
  • Technical & Research Positions | Huawei Technologies, China Academy of Telecommunication Technology, CUHK, HKUST, Enjoyor Inc., Xonlink Inc.

With 20+ years of experience, Dr. Du has significantly contributed to academic teaching, cutting-edge research, and technological innovations in various global institutions.

Research Interests 🔬

Dr. Ke-Lin Du’s research focuses on:

  • Signal Processing
  • Wireless Communications
  • Machine Learning

His interdisciplinary expertise bridges theoretical concepts and practical applications, driving advancements in artificial intelligence and communication systems.

Awards and Honors 🏆

  • Stanford’s Top 2% Most Cited Scientists (2019–2023, 5 consecutive years)
  • Senior Member of IEEE (Since 2009)
  • Recognized for outstanding contributions to academia, research, and leadership in over 115 international conferences.

Publications Top Notes: 📚

Dr. Du is an accomplished author with 5 coauthored books, 13 co-edited books, 60 research papers, and 6 U.S. patents. Some notable publications include:

Neural Networks and Statistical Learning

Search and Optimization by Metaheuristics: Techniques and Algorithms Inspired by Nature

Neural Networks in a Softcomputing framework

Clustering: A neural network approach

Wireless communication systems: From RF subsystems to 4G enabling technologies

Using radial basis function networks for function approximation and classification

Particle swarm optimization

Exploiting multiple antennas for spectrum sensing in cognitive radio networks