New · 2026
Agentic AI · Research Infrastructure
ResearchLedger
Evidence-first research automation linking hypotheses, executed runs, evidence records and manuscript claims. Software prototype.
Dr. Rajesh Kumar
Postdoctoral Researcher
Expert in Network Security, Large Language Models, Deep Learning & Blockchain
Dr. Rajesh Kumar is a Postdoctoral Researcher at the International Research Center for Complexity Sciences, Hangzhou International Innovation Institute, Beihang University (Hangzhou). Also maintains a research lab and active collaboration at the Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China (UESTC), after serving there as Associate Researcher and Teaching Fellow (2021–2025). PhD in Computer Science and Technology, UESTC (2019). Research areas: blockchain, federated learning, medical imaging AI, cybersecurity and agentic AI. ORCID 0000-0003-0813-7485
Research Impact
78
Publications
Journals, conferences, chapters & preprints
7
Granted Patents
Chinese invention patents
4
Funded Research Projects
1 active, 3 completed
7+
Years in Research
Since PhD, UESTC 2019
As of October 2026. Each figure links to its source.
Latest News
-
Preprint: AutoResearch, an execution-grounded multi-agent framework for research workflow automation.
-
Software: ResearchLedger v2.0.1, an evidence-first research automation prototype, is public on GitHub.
-
Paper: RePFL, lag-resilient personalized federated learning for skin cancer detection, in Scientific Reports.
-
Preprint: AgentForge, a multi-agent LLM framework for autonomous software engineering.
-
Paper: MID-LLM, LLM-enhanced medical image diagnostics in a blockchain AI framework, in IEEE Internet of Things Journal.
-
Paper: Federated transfer learning for liver lesion segmentation in PET-CT imaging, in Artificial Intelligence in Medicine.
FLAGSHIP RESEARCH
Research Prototypes & Demonstrations
Selected research prototypes, each backed by a paper, preprint or public code, with a demo or documentation.
Preprint · 2026
Agentic AI · Multi-Agent Systems
AutoResearch
An execution-grounded multi-agent framework for reliable research workflow automation.
The Fridge Has Eyes
AI cameras inside commercial refrigerators track inventory and analyse consumer behaviour in real time.
AI-Assisted CT Scan Analysis
Real-time CT scan analysis with blockchain-enhanced privacy and security for patient data.
Smart Traffic Management
Camera-powered traffic control with AI-enhanced vehicle recognition for urban flow.
Wire-Free Robotic Lawn Mower
Camera-based AI vision replaces boundary wires for autonomous, effortless lawn care.
Selected Publications
Representative papers. View the full publication list
-
AutoResearch: An Execution-Grounded Multi-Agent Framework for Reliable Research Workflow Automation
R. Kumar, W. Ali, J. Ahmed, A. A. Khan, S. Zeng. arXiv preprint arXiv:2607.02520, 2026.
-
Blockchain-Federated-Learning and Deep Learning Models for COVID-19 Detection Using CT Imaging
R. Kumar, A. A. Khan, J. Kumar, et al. IEEE Sensors Journal, 21(14), 16301–16314, 2021.
-
An Integration of Blockchain and AI for Secure Data Sharing and Detection of CT Images for the Hospitals
R. Kumar, W. Wang, J. Kumar, et al. Computerized Medical Imaging and Graphics, 87, 101812, 2021.
-
An Efficient and Provably Secure ECC-Based Conditional Privacy-Preserving Authentication for Vehicle-to-Vehicle Communication in VANETs
I. Ali, Y. Chen, N. Ullah, R. Kumar, W. He. IEEE Transactions on Vehicular Technology, 2021.
-
Secure Large-Scale E-Voting System Based on Blockchain Contract Using a Hybrid Consensus Model Combined with Sharding
Y. Abuidris, R. Kumar, T. Yang, J. Onginjo. ETRI Journal, 43(2), 357–370, 2021.
-
A Multimodal Malware Detection Technique for Android IoT Devices Using Various Features
R. Kumar, X. Zhang, W. Wang, et al. IEEE Access, 7, 64411–64430, 2019.
Research Categories
Journal Papers
Peer-reviewed publications in leading journals
View Papers
Book Chapters
Contributed to definitive texts in cybersecurity
View Chapters
Conference Papers
Presentations at top-tier international conferences
View Conferences
Patents
Innovative technologies with real-world applications
View Patents
TEACHING
Teaching & Open Educational Resources
Free, openly licensed learning materials I create for students: an interactive course platform, recorded lectures, and the slides and code behind them.
Learn.AI
Featured platformMy interactive learning site for AI and computer science. Every lesson pairs a short explanation with something to try.
Interactive courses
16 courses and 211 lessons, from Python and databases to deep learning, LLMs and AI agents.
Hands-on coding labs
194 labs with live Python and SQL that run in the browser, with no sign-up or installs.
Free learning resources
Original lessons under CC BY 4.0 and code under MIT, plus slides, notebooks and a starter kit.
Counts as listed on Learn.AI, October 2026.
Class Video Library
Recorded lectures, each with its complete slide deck and code examples.
Essential Machine Learning Concepts in 5 Minutes
Watch on YouTubeMastering Object-Oriented Programming (OOP) in Java
Watch on YouTube
PROFESSIONAL CAPABILITIES
Skills & Contributions
Empowering innovation through technical expertise, creative programming, and effective leadership.
Technical Expertise
Blockchain Technology
Expert
Deep Learning
Expert
Machine Learning
Expert
Network Security
Expert
Federated Learning
Expert
Programming Languages
Python
Advanced
Java
Advanced
C/C++
Advanced
PHP
Intermediate
Android
Intermediate
Leadership & Management
Research Supervision
Advanced
Project Management
Advanced
Team Leadership
Advanced
Academic Teaching
Advanced
Grant Writing
Intermediate
Professional Experience
Postdoctoral Researcher
January 2026 - Present
International Research Center for Complexity Sciences, Hangzhou International Innovation Institute, Beihang University, Hangzhou
Postdoctoral research on agentic AI, medical intelligence, privacy-preserving learning and scientific automation.
Agentic AI
Medical AI
Scientific Automation
Associate Researcher/Teaching Fellow → Research Lab & Collaboration
July 2021 - Present
Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China
2021–2025: Associate Researcher and Teaching Fellow, leading research projects in Blockchain, Deep Learning, and Computer Vision and teaching undergraduate and graduate courses. Since 2026: continuing the research lab and collaboration at YDRI.
Blockchain
Deep Learning
Computer Vision
Postdoctoral Fellow
June 2019 - June 2021
University of Electronic Science and Technology of China
Worked on national projects, including IoT Malware Detection and Blockchain-based Secure Data Sharing.
IoT Security
Malware Detection
Data Sharing
IT Academy Instructor
2014 - 2016
AIMS IT Academy
Delivered courses in Java Programming, PhP Web Programming, Android Development, Database Design, and Data Structures.
Java
PHP
Android
Database
Software Developer (Internship)
June 2014 - June 2015
University of Sindh, Jamshoro, Pakistan
Developed web applications and internal software solutions for university management.
Web Development
UI/UX
Software Engineering
Education
PhD in Computer Science and Technology
2016-2019
University of Electronic Science and Technology of China
Thesis: Android Malware Detection based on Machine Learning
- Developed a novel machine learning framework to detect and classify Android malware with improved accuracy
- Collaborated with industry partners on creating secure data-sharing protocols for IoT devices
- Contributed to national research projects focused on network security and AI-based malware detection
MS in Computer Science
2014-2016
University of Sindh, Jamshoro
Conducted research on network security and database management systems, producing a thesis on secure fees payment system in distributed environments.
BS in Computer Science
2010-2013
University of Sindh, Jamshoro
Specialized in software engineering and database systems, developing a final project on automated attendance systems using Android technology.
Funded Research Projects
Active projects first, then completed and historical grants.
Active
Intelligent Image Generation Software Based on Private Large Language Models
Project Number:
H01240121
End Date:
December 31, 2026
500,000 RMB
Completed
High-Performance Lightweight Industrial Blockchain Technology and Applications
Project Number:
U03210049
End Date:
August 3, 2026
400,000 RMB (Completed)
Completed
Collaborative Learning with Federated Blockchain for PET-CT Imaging Analysis
Project Number:
U0723003
End Date:
June 2025
5,000 RMB (Completed)
Historical
Research on Blockchain Sharding Consensus
Project Number:
Y03019023601016201
End Date:
July 2021
50,000 RMB (Completed)
Other Research Projects
Blockchain-based Federated Learning
Developed a federated learning model to securely share sensitive data across distributed environments, enhancing data privacy.
Blockchain
Federated Learning
Python
LLM-based Medical Visualizations
Leveraged a large language model to generate and interpret medical visual data, bridging clinical insights and impactful visual analytics.
Medical AI
NLP
Computer Vision
Medical Imaging with Federated Learning
Implemented federated learning techniques to improve medical image analysis, leading to better diagnostic accuracy for healthcare institutions.
Healthcare
Deep Learning
Computer Vision
University Management Systems
Built and optimized the university's examination results and admission portals, improving user experience and handling large volumes of data efficiently.
Web Development
Database
PHP
VIDEO DEMONSTRATIONS
Project Demonstrations
Full write-ups and video demonstrations of the research prototypes, with links to the underlying papers and code.
Computer Vision
The Fridge Has Eyes
AI Camera System Inside Commercial Refrigerator for Inventory Management and Consumer Behavior Analysis
Research Impact
This project enhances supply chain security and inventory management using AI-powered computer vision to track items in commercial refrigerators, resulting in reduced waste and improved restocking efficiency.
Medical AI
A Look Inside
AI-Assisted Real-Time CT Scan Analysis with Blockchain-Enhanced Privacy and Security
Smart City
Visualizing Urban Flow
Camera-Powered Smart Traffic Management System with AI-Enhanced Vehicle Recognition
Automated Landscaping
Wire-Free Robotic
Camera-Based Innovation for Effortless Lawn Care with AI Vision Systems
Project Resources
Source Code
Complete GitHub repository with implementation details
Video Demonstration
Full showcase of the robotic lawn mower in action
Computer Vision
AI-powered visual navigation and boundary detection
Industrial Automation
Beyond Human Hands
Navigating the Future of Warehousing with Camera-Powered Autonomous Forklifts AI
Key Technologies
Computer Vision
Advanced object detection and spatial awareness for navigation in complex environments
Real-time Decision Making
AI-powered algorithms for efficient path planning and obstacle avoidance
Safety Protocols
Multiple redundant systems ensuring safe operation around human workers
INTERNATIONAL RECOGNITION
Distinguished Keynote Speaker
Huzhou, China • 2021
Artificial Intelligence and the Environment
Dr. Kumar Rajesh, a Pakistani expert from the Yangtze River Delta Research Institute (Huzhou), University of Electronic Science and Technology of China, introduced the development goals, development path, and location advantages of the research institute. He presented the current research results of the institute to young scholars with the theme of "Artificial Intelligence and the Environment."
Conference Details
Guangdong, China • 2019
The Future of AI and Blockchain
Dr. Kumar Rajesh, a distinguished expert in the fields of Artificial Intelligence (AI) and Blockchain, took the stage as the keynote speaker to shed light on the "Future of AI and Blockchain." With years of experience and profound knowledge in these cutting-edge technologies, he captivated the audience with his insightful vision and predictions for the transformative potential of AI and Blockchain across industries.
His visit to the Guangdong Institute of Intelligent Terminal Industrial Design reflects his commitment to exploring new frontiers and pushing the boundaries of technological advancement.
PROFESSIONAL EXCELLENCE
Awards & Achievements
Acclaimed Recognition
-
Best Runner Up - IEEE Sensors Journal
-
Excellent Performance Award - Ph.D. Studies
-
Best Oral Presentation - International Conference on Computing and Artificial Intelligence
Technical Certifications
Java
PHP
Android
.Net
COLLABORATE
Online Research Collaboration
I welcome remote collaboration with researchers and students who share my interests. Collaboration is fully online.
Ways to collaborate
- Co-authoring research papers
- Remote research projects and experiments
- Contributions to open-source research software such as ResearchLedger and AutoResearch
- Online seminars, guest talks and workshops
Topics
- Blockchain
- Federated Learning
- Medical Imaging AI
- Agentic AI & LLMs
- Cybersecurity
What to include in your email
- A short introduction: your name, institution and current role
- The topic you would like to work on, and a brief idea
- Your CV or Google Scholar / GitHub link
- How much time you can commit each week
raja@uestc.edu.cn
Please note: I currently offer online collaboration only. There are no funded positions, scholarships or on-site placements at this time.