Summary
Accomplished technology professional with multidisciplinary expertise spanning Artificial Intelligence, Machine Learning, Blockchain, Internet of Things, and Software Engineering. Proven ability to design and implement innovative solutions from large language and generative models to secure, decentralized systems and edge-computing architectures across diverse industries including healthcare, finance, logistics, and energy.
Strong record of leading collaborative research and development initiatives, publishing in high-impact venues, and delivering scalable prototypes and production deployments. Adept at quickly mastering new domains, mentoring teams, and translating cutting-edge research into actionable strategies and products that drive efficiency, security, and business value.
Education
Recent Professional Experience
Research Professor, Yeungnam University (March 2022 – Present)
- Lead research in AI, Blockchain, and IoT
- Supervise graduate students
- Conduct and create lectures for Reinforcement Learning, Machine Learning, Blockchain & Security for spring semester 2025
- Engage in international and interdisciplinary research collaborations
PhD Scholar / Research Assistant, Kyungpook National University (2017-2021)
Visiting Lecturer, Multiple Universities (2013-2017)
Research Interests
Foundations of Next-Generation AI
Large Language Models (LLMs) and sparse expert architectures underpin the next wave of intelligent systems, enabling self-supervised and few-shot learning across diverse tasks. Vision-language models deliver seamless multimodal understanding, while explainable and trustworthy AI ensures transparency and alignment with human values.
Secure, Privacy-Preserving Systems
Federated and encrypted learning frameworks protect data on IoT devices, complemented by zero-trust architectures and blockchain-based protocols that fortify distributed systems. Research in adversarial robustness safeguards model integrity against evolving threats.
Advanced Image Processing & Computer Vision
Generative Adversarial Networks and diffusion models drive high-fidelity image synthesis, while vision transformers and hybrid CNN-transformer architectures excel in tasks from super-resolution and 3D reconstruction to low-light enhancement. Real-time video analytics and explainable CV techniques, including deepfake detection, enable trustworthy autonomous perception.
Future Research Focus
Over the next few years, focus will center on architecting and optimizing large-scale multimodal transformers and sparse-expert large language models. Integrating vision-language frameworks with GAN and diffusion-based super-resolution and 3D reconstruction modules. Developing zero-trust, blockchain-anchored architectures to secure decentralized digital twins in smart cities. Designing multi-agent deep reinforcement learning systems with temporal-attention mechanisms for adaptive traffic and energy grid control all underpinned by neuromorphic and quantum-classical hybrid compute paradigms to achieve ultra-low-latency, energy-efficient AI.
Technical Skills
Programming & Software Development
Advanced proficiency in Python (NumPy, Pandas), C++, Java, C#, Scala, JavaScript, and PHP with extensive experience building research prototypes, simulation tools, and scholarly software libraries. Familiar with GPU programming (CUDA), optimizing compute-intensive simulations and neural network training workflows.
Machine Learning & AI Frameworks
Expertise in TensorFlow, Keras, PyTorch, Scikit-learn, OpenAI Gym, and Hugging Face Transformers for developing and evaluating deep learning architectures, including CNNs, RNNs, and Transformer-based models.
Big Data & Data Engineering
Skilled in Apache Spark (Scala, PySpark) and Hadoop for large-scale data processing, alongside SQL (MySQL, SQL Server) for relational data management and complex query optimization.
Blockchain & Decentralized Systems
In-depth knowledge of Hyperledger Fabric and Ethereum (Solidity), with practical implementation of smart contracts, permissioned ledgers, and IPFS-based off-chain storage.
Internet of Things & Edge Computing
Experienced in embedded platforms (Raspberry Pi, Arduino), with federated learning pipelines optimized for resource-constrained IoT devices.
Visualization & Scientific Communication
Skilled in Matplotlib, Seaborn, Plotly, and LaTeX typesetting for creating publication-quality figures, tables, and academic presentations.
Selected Publications
- M.J. Jami Gul, G.M. Urfa, A. Paul, Machine Learning-Based Water Need Estimation for Smart Irrigation System, Blockchain Technologies, pp. 437-447, 2024.
- M.J. Jami Gul, M.U. Gul, A. Paul, Adversarial Networks for Blockchain Attack Classification, Proc. Comput. Sci. Eng. Conf., 2023.
- F. Saeed, M.J. Jami Gul, A. Paul et al., A Robust Approach for Industrial Small-Object Detection using Improved Faster R-CNN, Sci. Rep., vol. 11, art. no. 18015, 2023.
- M.J. Jami Gul, M.H. Firmansyah, S. Rho, A. Paul, Bi-LSTM-LSTM Based Time Series Electricity Consumption Forecast for South Korea, in Principles Data Sci., pp. 895-903, 2023.
- J.A. Daniel, S. Rajendran, P. Pranam, Y. Berry, A. Sreedharan, M.J. Jami Gul, A. Paul, Blockchain Technologies: Smart Contracts for Consumer Electronics Data Sharing and Secure Payment, Electronics, vol. 12, no. 1, art. no. 0208, 2022.
- M.M.U. Rathore, M.J. Jami Gul, A. Paul et al., Multilevel Graph-Based Decision Making in Big Scholarly Data, IEEE Trans. Emerg. Topics Comput., vol. 9, no. 1, pp. 280-292, 2021.
- M.J. Jami Gul, B. Subramanian, A. Paul, J. Kim, Blockchain for Public Health Care in Smart Society, Microprocess. Microsyst., vol. 81, 2021.
- A. Balasubramaniam, M.J. Jami Gul, V.G. Menon, A. Paul, Blockchain for Intelligent Transport System, IETE Tech. Rev., vol. 38, no. 4, pp. 438-449, 2021.
- A. Ganesan, A. Paul, G. Nagabushnam, M.J. Jami Gul, M. Jakovljevic, Human-in-the-Loop Predictive Analytics Using Statistical Learning, J. Healthc. Eng., 2021.
- M.J. Jami Gul, G.M. Urfa, A. Paul, J. Moon, S. Rho, E. Hwang, Mid-term Electricity Load Prediction using CNN and Bi-LSTM, J. Supercomput., vol. 77, no. 10, pp. 10942-10958, 2021.
- M.J. Jami Gul, A. Paul, S. Rho, M. Kim, Blockchain-based Healthcare System with Artificial Intelligence, in Proc. Comput. Sci. Comput. Intell. CSCI, pp. 740-741, 2020.
- A. Gul, R. Rehman, A. Paul, S. Rho, R. Riaz, J. Kim, Blockchain Expansion to Secure Assets with Fog Node on Special Duty, Soft Comput., vol. 24, no. 15, pp. 11245-11257, 2020.
Submitted Papers 2025
| Journal | Title | Status |
|---|---|---|
| IEEE Access | Evaluating Heuristic and Reinforcement Learning Emission Control Strategies in Blockchain Networks under Single- and Multi-Objective Reward Frameworks | Under Review |
| IEEE Access | Queue-Aware Deep Reinforcement Learning for Dynamic Relayer Optimization in Cross-Chain Blockchain Networks | Under Review |
Future Submissions 2025
| Status | Prospective Title | Journal |
|---|---|---|
| Ready for Submission | SHAP-Driven Ensemble Modeling | Not Decided |
| Ready for Submission | Heterogeneous Data Analysis | IEEE-TNSE |
Projects
- Developed simulation models of blockchain network behavior, consensus latency, and fork rates
- Implemented in Python and SimPy; visualized results with Matplotlib
- Collaborated with Korea University to forecast national power demand using ARIMA and LSTM models
- Cleaned and processed multi-year load data; achieved MAPE < 5%
- Formulated guard-node placement as energy-aware sampling using Stochastic Gradient Langevin Dynamics
- Implemented algorithm in MATLAB; compared energy budgets across topologies
- Modeled network as graph; selected sensor locations to maximize coverage against DDoS flow
- Solved via greedy heuristics; validated on real ISP topologies
- Conducted full system analysis and UML design; implemented front end and business logic in C#
- Integrated MySQL backend; generated reports and automated notifications
- Implemented TCP and UDP socket communication on Fedora Linux under VMware
- C/C++ code for client-server file transfer and chat application
- Designed and implemented banking database in MS Access/SQL Server
- C# GUI for account management, transactions, and report generation
- Analyzed Android app permissions model; built prototype in C# and ported to Java for mobile deployment
- Developed C# tool to parse and analyze Windows Registry hives for forensic indicators
Past Experience & Certificates
Teaching Experience
- Visiting Lecturer, University of Azad Jammu & Kashmir (2012): Web Development, OOP, Algorithms, Database
- Visiting Lecturer, Mohi-ud-din University (2013-2017): Computer Networks, Web Development, Database
- Exam Superintendent, Virtual University Online Exams (2015-2017)
- Thesis Supervisor, M.Sc. Students, Virtual University (2016-2017)
- Teaching Assistant, UAJK Software Engineering (Fall 2012): Networks & Communications, Semester VI
- Teacher, Bait-ul-Mamoor High School (2010-2012)
Development Experience
- Web Developer & Network Admin, Kashmir Institute of Management (2015): kim.gok.pk; listed on AJK Govt portal
- Intern, Moon Creation (12 weeks): built websites for AJK social and blogging platforms
Certifications & Editorial
- Editor, Weekly Musheer Newspaper
- Software Course Certificate, TIPS
- Joomla, Drupal, WordPress, Magento Web Development
- Microsoft Windows/Server 30-day Online Study Plan
Editorial, Peer Review, and Professional Service
- Guest Editor, Electronics (MDPI) on Big Data Analytics (2023)
- Conferences chair for Local and International events
- Peer reviewer for IEEE IoT Journal, IEEE Trans. Eng. Management, and others
Workshops & Seminars
- Two-day international webinar on Data Analytics and Business Processes - Avinashilingam Institute of Home Science and Higher Education for Women
- Four-day workshop on Active Citizen in collaboration with British Council, Children First & HRLC
- Session participant & committee member, UAJK International Conference on Kashmir in Emerging Global Perspectives - University of Azad Jammu & Kashmir, May 23-24, 2011
- Five-day training with NAVTCC on transitioning student learning environments in Pakistan from traditional to competency-based learning
Awards & Recognition
Kyungpook National University (2022)
Kyungpook National University
Teaching and Publication from KNU and Yeungnam University
Conducted for CHUNG-ANG University, South Korea
ICOT IEEE
Languages
Professional
Native
Native
Elementary (KIIP Level 3)
References
Dr. Anand Paul
LSU Health Sciences Center New Orleans
Biostatistics & Data Science
Email: apaul4@lsuhsc.edu
Email: paul.editor@gmail.com