Prof. Dr.AMIN UL HAQ (ph.D, Postdoc)
University of Computing Sciences and Information Technology swat, Institute of Telecommunications, Computer Science and Photonics, Sant’Anna School of Advanced Studies, Pisa, 56124, Italy.
Research areas: Computer Science · Artificial Intelligence · Artificial Intelligence in Healthcare · AI in cancer detection · Recommender Systems and Techniques
0000-0002-7774-5604
About
Dr. AMIN UL HAQ is an experienced researcher with more than 12 years of cutting-edge research and teaching experience in prestigious institutes, including the National University of Modern Languages (NUML), Abdul Wali Khan University Mardan Bunar campus, and Agricultural University Peshawar Pakistan. He received his Ph.D. in Computer Science (Software Engineering) from the University of Electronic Science and Technology of China. He also completed his postdoc at the School of Computer Science and Engineering, University of Electronic Science and Technology of China. Also an associate professor in Moh- Uddin Islamic University Azad Kashmir Pakistan. He currently working/collaborating with TeCIP Institute Scoula Superiore Sant’Anna (SSSA), Via Moruzzi 1, 56124, Pisa, Italy. He has first and co-authored more than 88 research papers, including 51 in leading international journals SCI of rank JCR 1, 2, 3, 4, and 7 papers are in JCR rank 1 and Q1 SCI journals(namely Knowledge-based Systems, Expert Systems with Applications, IEEE Journal of Biomedical and Health Informatics, Computer and Electrical Engineering, Scientific Reports, Journal of Ambient Intelligence and Humanized Computing, IEEE Access, and Sensors) and 36 in peer-reviewed international conference proceedings and one Patent. During his career, he has taught various courses at the Undergraduate (UG) and Postgraduate (PG) levels. He regularly organizes timely special sessions and workshops for several Flagship IEEE conferences and is an active member of the IEEE International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP). Also, sponsor the IDITR IEEE conference. He is an invited reviewer for numerous world-leading high-impact journals (reviewed 100+ journal papers to date). He has more than 5518 Google citations, an h-index of 35, an I-10 index of 70, Webof science citation 1585, an h-index of 24, an I-10 index of 61, and an impact factor of more than 184.40. His area of research is medical data analysis to diagnose diseases using Machine learning, Deep learning models, Transfer Learning, and Federated Learning Techniques.
Employment
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University of Computing Sciences and Information Technology swat Assistant Professor2025 - Present
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Institute of Telecommunications, Computer Science and Photonics, Sant’Anna School of Advanced Studies, Pisa, 56124, Italy. Researcher2024 - 2025
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University of Electronic Science and Technology of China Assistant Professor2020 - 2025
Education
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University of Electronic Science and Technology of China Postdoctoral Researcher2020 - Present
Projects & Funding
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National Natural Science Foundation of China (Grant No. 61370073), the National High Technology Research and Development Program of China (Grant No. 2007AA01Z423), the project of Science and Technology Department of Sichuan Province (Grant No. H04010601W… National Natural Science Foundation of China
Publications (87)
- FERmc: Facial expression recognition framework based on multi-branch fusion and depthwise separable convolution Save
- Differentially private recommender framework with Dual semi-Autoencoder Save
- LDPMF: Local differential privacy enhanced matrix factorization for advanced recommendation Save
- Feature elimination and stacking framework for accurate heart disease detection in IoT healthcare systems using clinical data Save
- Blockchain-Based Trusted Tracking Smart Sensing Network to Prevent the Spread of Infectious Diseases Save
- DDFC: deep learning approach for deep feature extraction and classification of brain tumors using magnetic resonance imaging in E-healthcare system Save
- DEBCM: Deep Learning-Based Enhanced Breast Invasive Ductal Carcinoma Classification Model in IoMT Healthcare Systems Save
- Multi-view social recommendation via matrix factorization with sub-linear convergence rate Save
- An intelligent neural network model to detect red blood cells for various blood structure classification in microscopic medical images Save
- SA-Bi-LSTM: Self Attention With Bi-Directional LSTM-Based Intelligent Model for Accurate Fake News Detection to Ensured Information Integrity on Social Media Platforms Save
- MCNN: a multi-level CNN model for the classification of brain tumors in IoT-healthcare system Save
- Stock Market Index Prediction Using Machine Learning and Deep Learning Techniques Save
- Federated Fusion of Magnified Histopathological Images for Breast Tumor Classification in the Internet of Medical Things Save
- A Multimodal Network Security Framework for Healthcare Based on Deep Learning Save
- Therapeutic Efficacy of a Formulation Prepared with Linum usitatissimum L., Plantago ovata Forssk., and Honey on Uncomplicated Pelvic Inflammatory Disease Analyzed with Machine Learning Techniques Save
- A survey of deep learning techniques based Parkinson’s disease recognition methods employing clinical data Save
- Probabilistic Approach to COVID-19 Data Analysis and Forecasting Future Outbreaks Using a Multi-Layer Perceptron Neural Network Save
- DACBT: deep learning approach for classification of brain tumors using MRI data in IoT healthcare environment Save
- IIMFCBM : Intelligent Integrated Model for Feature Extraction and Classification of Brain Tumors Using MRI Clinical Imaging Data in IoT-Healthcare Save
- Stacking approach for accurate Invasive Ductal Carcinoma classification Save