DR. MOAZAM ALI
| PERSONAL INFORMATION | |||
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| muazzam.buic@bahria.edu.pk | |||
| Phone. Ext. | 9260002 ext2034 | ||
| Research Area | Informatics | ||
| Number of Publications | 0 | ||
| QUALIFICATION | |||
| DEGREE | PASSING YEAR | MAJORS | UNIVERSITY |
| PhD | 2019 | Informatics | Gyeongsang National University, South Korea |
| MS(IT) | 2011 | Computer Networks | Institute of Management Sciences. |
| BSc(Hon) | 2017 | Computer Science | Islamia College, University of Peshawar |
| TEACHING EXPERIENCE | |||
| DESIGNATION | FROM | TO | ORGANIZATION |
| Assistant Professor | 01-Sep-2019 | 31-Dec-2022 | Bahria University Islamabad |
| Associate Professor | 01-Jan-2026 | Present | Bahria University E-8 Campus Islamabad |
| Senior Assistant Professor | 01-Jan-2023 | 31-Dec-2025 | Bahria University E-8 Campus Islamabad |
Publications
Journals & Conferences
- Hybrid Architecture for Autonomous Load Balancing in Distributed Systems based on Smooth Fuzzy Function | intelligent automation and soft computing
- A comparative study and analysis of agent based monitoring and fuzzy load balancing in distributed systems | International Journal of Communication Networks and Distributed Systems (IJCNDS)
- Probabilistic normed load monitoring in large scale distributed systems using mobile agents | Future Generation Computer Systems
- Design and Analysis of Distributed Load Management: Mobile Agent based Probabilistic Model and Fuzzy Integrated Model | Applied Intelligence
- Open AccessArticle Partial Bicasting with Buffering for Proxy Mobile IPV6 Mobility Management in CoAP-Based IoT Networks | Electronics
- Self-assessment and deep learning-based coronavirus detection and medical diagnosis systems for healthcare | Multimedia Systems
- A Comparative Study of Web Application Security Parameters: Current Trends and Future Directions | Applied Sciences
- Zero Energy IoT Devices in Smart Cities Using RF Energy Harvesting | Electronics
- Hybrid Deep Learning Model for Diabetic Retinopathy Severity Detection and Classification | Journal of Saidu Medical College
- Classification of Psoriasis Using Vision Transformer: A Deep Learning-Based Approach | IEEE Access
- Spatio-Temporal Analysis of Infectious Diseases for Hotspot Identification and Evolution: A Special Case of COVID-19 in Punjab Pakistan | Journal of Engineering and Applied Sciences
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