Dr. Lal Hussain

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Personal Details
An Assistant Professor at UAJ&K with 19 years in AI research, teaching, and supervision. I've authored over 108 publications, secured international research grants, and received 7 travel grants from HEC and PSF to present in the USA, Singapore, KSA, and UK. I've delivered keynote speeches globally, mentored numerous students, and focus on AI for healthcare prediction, driven by my passion for academi
Assistant Professor
PhD
Computer Science Neelum Campus

Publications

Google Scholar: https://scholar.google.com/citations?user=9DjgaqcAAAAJ&hl=en&authuser=1

https://www.lallhussain.com/research/publications/

Elsevier Ranking in 2% World Scientist list 2021 - 2024:

https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw/7

Ranked Artificial Intelligence: 3086 (worldwide)

Publications (Total Impact Factor: 305.78)

ORCID = 0000-0003-1103-4938

Web of Sciences Researcher ID = C-7876-2012

Citations 12-05-2025) =2435

 

Publications/Proceedings =108

Journal Publications = 95 (1st and Principal author: 75 IF & 6 ISI indexed), In Revision W Category Journals (15)

H-index = 27

Conference Proceedings = 17

Journal Papers 

2025

  1. Shim, S. O., Hussain, L., Alsolami, E., & Alkinani, M. H. (2025). An Intelligent Smart Dynamic Feature Analysis Based Approach by Utilizing Deep Learning to Improve the Breast Cancer Detection.IEEE Access. F. 3.4.
  2. Khurshid, M. R., Manzoor, S., Sadiq, T., Hussain, L., Khan, M. S., & Dutta, A. K. (2025). Unveiling diabetes onset: Optimized XGBoost with Bayesian optimization for enhanced prediction.PloS one20(1), e0310218. F. 3.75
  3. Hussain et al. AI-Powered Anomaly Detection for Secure IoT: Optimizing XGBoost and Deep Learning with Bayesian Optimization. CAAI Transactions on Intelligent Technologies. I.F. 8.5. Accepted
  4. Hussain et al. Brain Tumor Segmentation by Optimizing Deep Learning U-Net Model. Technology and Healthcare.F. 1.7.
  5. Umer, A., Ali, M., Daud, A., Hussain, L., Bukhari, A., & Jehangiri, A. I. (2025). Fault tolerant & priority basis task offloading and scheduling model for IoT logistics.Alexandria Engineering Journal110, 400-419. F. 6.8.
  6. Baloch, A., Ali, M., Hussain, L., Sadiq, T., & Alkahtani, B. S. (2025). Urdu Lip Reading Systems for Digits in Controlled and Uncontrolled Environment.IEEE Access.F. 3.4.
  7. Gul, F., Shah, M., Ali, M., Hussain, L., Sadiq, T., Abbasi, A. A., ... & Alkahtani, B. S. (2025). A hybrid multi-panel image segmentation framework for improved medical image retrieval system.Plos one20(2), e0315823. F. 3.75.
  8. Diao, S., Wan, Y., Huang, D., Huang, S., Sadiq, T., Khan, M. S., ... & Mazhar, T. (2025). Optimizing Bi-LSTM networks for improved lung cancer detection accuracy.PloS one20(2), e0316136. F. 3.75.
  9. Qin, H., Hussain, L., Liu, Z., Yan, X., Awwad, F. A., Butt, F. M., ... & Ismail, E. A. (2025). Optimizing deep learning models to combat amyotrophic lateral sclerosis (ALS) disease progression.Digital health11, 20552076251349719. F. 4.7.

2024

 

  1. Khan, R. N. M., Majid, A., Shim, S. O., Habibullah, S., Almazroi, A. A., & Hussain, L. (2024). Intelligent Bayesian Inference for Multiclass Lung Infection Diagnosis: Network Analysis of Ranked Gray Level Co-occurrence (GLCM) Features.New Generation Computing42(5), 997-1048. F. 2.00
  2. Khurshid, M. R., Manzoor, S., Sadiq, T., Hussain, L., Khan, M. S., & Dutta, A. K. (2025). Unveiling diabetes onset: Optimized XGBoost with Bayesian optimization for enhanced prediction.PloS one20(1), e0310218. F. 3.75.
  3. Qureshi, S. A., Hussain, L., Sadiq, T., Shah, S. T. H., Mir, A. A., Nadim, M. A., ... & Shah, S. A. H. (2024). Breast Cancer Detection using Mammography: Image Processing to Deep Learning.IEEE Access. F. 3.4.
  4. Ahmed, S., Raza, B., Hussain, L., Sadiq, T., & Dutta, A. K. (2024). Enhancing multiclass COVID-19 prediction with ESN-MDFS: Extreme smart network using mean dropout feature selection technique.Plos one19(11), e0310011.F. I.F. 3.75.
  5. Qureshi, S. A., Hussain, L., Rafique, M., Sohail, H., Aman, H., Abbas, S. R., ... & Khalid, M. I. (2024). EML-PSP: A novel ensemble machine learning-based physical security paradigm using cross-domain ultra-fused feature extraction with hybrid data augmentation scheme. Expert Systems with Applications, 243, 122863. I.F. 8.5.
  6. Sana, L., Nazir, M. M., Yang, J., Hussain, L., Chen, Y. L., Ku, C. S., ... & Por, L. Y. (2024). Securing the IoT Cyber Environment: Enhancing Intrusion Anomaly Detection with Vision Transformers.IEEE Access. F. 3.4.
  7. Shim, S. O., Hussain, L., Aziz, W., Alshdadi, A. A., Alzahrani, A., & Omar, A. (2024). Deep learning convolutional neural network ResNet101 and radiomic features accurately analyzes mpMRI imaging to predict MGMT promoter methylation status with transfer learning approach.International Journal of Imaging Systems and Technology34(2), e23059. I.F. 3.3.
  8. Qureshi, S. A., Chaudhary, Q. U. A., Schirhagl, R., Hussain, L., Aman, H., Duong, T. Q., ... & Galenchik-Chan, A. (2024). RobU-Net: a heuristic robust multi-class brain tumor segmentation approaches for MRI scans.Waves in Random and Complex Media, 1-51. F. 4.850.
  9. Li, L., Yang, J., Por, L. Y., Khan, M. S., Hamdaoui, R., Hussain, L., ... & Omar, A. (2024). Enhancing lung cancer detection through hybrid features and machine learning hyperparameters optimization techniques.Heliyon10(4). I.F. 4.67.

 

2023

  1. Hussain, et a (2023). Deep convolutional neural networks accurately predict breast cancer using mammograms. Waves in Random and Complex Media, 1-24. I.F. 4.853
  2. Qureshi, S. A., Hussain, L., et al. (2023). Radiogenomic classification for MGMT promoter methylation status using multi-omics fused feature space for least invasive diagnosis through mpMRI scans. Scientific reports13(1), 3291. I.F. 5.00
  3. Hussain, L., Alabdulkreem, E., Lone, K. J., Al-Wesabi, F. N., Nour, M. K., Hilal, A. M., … & Aziz, S. (2023). Feature ranking chi-square method to improve the epileptic seizure prediction by employing machine learning algorithms. Waves in Random and Complex Media, 1-27. I.F. 4.853
  4. Nawaz, &, Hussain, L. et al. (2023). Deep Learning ResNet101 Deep Features of Portable Chest X-Ray Accurately Classify COVID-19 Lung Infection. Computers, Materials & Continua75(3).F. 3.860
  5. Ahmed, S., Raza, B., Hussain, L.,et al. (2023). The Deep Learning ResNet101 and Ensemble XGBoost Algorithm with Hyperparameters Optimization Accurately Predict the Lung Cancer. Applied Artificial Intelligence37(1), 2166222.F. 2.777.
  6. Yang, J., Yee, P. L., Khan, A. A., and,.. Hussain et al. (2023). Intelligent lung cancer MRI prediction analysis based on cluster prominence and posterior probabilities utilizing intelligent Bayesian methods on extracted gray-level co-occurrence (GLCM) features. Digital health9, 20552076231172632.F. 4.687

 

2022

  1. Hussain et al.  (2022) Bayesian Dynamic 1 Profiling and Optimization of Important Ranked Energy from Gray level co-occurrence (GLCM) Feature for Empirical Analysis of Brain MRI. Scientific Reports. F. 5.00
  2. Hussain, L., Alsolai, H., Hassine, S. B. H., Nour, M. K., Duhayyim, M. A., Hilal, A. M., … & Rizwanullah, M. (2022). Lung Cancer Prediction Using Robust Machine Learning and Image Enhancement Methods on Extracted Gray-Level Co-Occurrence Matrix Features. Applied Sciences12(13), 6517. F. 2.838
  3. Akhtar, N., Ali, M., Hussain, L.(2022) Diverse Pose Lip-reading Framework. Applied Sciences. F. 2.838. 
  4. Hussain et al.(2022) Automated breast cancer detection by reconstruction independent component analysis (RICA) based hybrid features using machine learning paradigms. Connection Science. F. 3.53.https://www.tandfonline.com/doi/full/10.1080/09540091.2022.2151566https://www.tandfonline.com/doi/full/10.1080/09540091.2022.2151566
  5. Mir, A. A., CÇelebi, F. V., Rafique, M., Hussain, L., Almasoud, A. S., Alajmi, M., … & Hilal, A. M. (2022).An Improved Imputation Method for Accurate Prediction of Imputed Dataset Based Radon Time Series. IEEE AccessF. 3.367.
  6. Mengash H.A., Hussain, L.et al. (2022) Smart Cities-Based Improving Atmospheric Particulate Matters Prediction using Chi-Square Feature Selection Methods by Employing Machine Learning Techniques. Applied Artificial Intelligence. I.F. 777.
  7. Butt, F. M., Hussain, L., Jafri, S. H. M., Alshahrani, H. M., Al-Wesabi, F. N., Lone, K. J., … & Duhayyim, M. A. (2022). Intelligence-based Accurate Medium and Long Term Load Forecasting System. Applied Artificial Intelligence36(1), 2088452. F. 2.838
  8. Qureshi, S.A., Hussain, L. et al. (2022) Gunshots Localization and Classification Model based on Wind Noise Sensitivity Analysis using Extreme Learning Machine. IEEE Access. F. 3.367. 
  9. Khan, R. N., Hussain, L., Alluhaidan, A. S., Majid, A., Lone, K. J., Verdiyev, R., … & Duong, T. Q. (2022). COVID-19 lung infection detection using deep learning with transfer learning and ResNet101 features extraction and selection. Waves in Random and Complex Media, 1-24. F. 4.853
  10. Eltahir, M. M., Hussain, L., Malibari, A. A., K Nour, M., Obayya, M., Mohsen, H., … & Ahmed Hamza, M. (2022). A Bayesian Dynamic Inference Approach Based on Extracted Gray Level Co-Occurrence (GLCM) Features for the Dynamical Analysis of Congestive Heart Failure. Applied Sciences12(13), 6350. F. 2.838
  11. Qureshi, S. A., Raza, S. E. A., Hussain, L., Malibari, A. A., Nour, M. K., Rehman, A. U., … & Hilal, A. M. (2022). Intelligent Ultra-Light Deep Learning Model for Multi-Class Brain Tumor Detection. Applied Sciences12(8), 3715. F. 2.838
  12. Abdulrahman, A., Jaber A., Negm N., Hussain L., et al. (2022) uture Challenges of Particulate Matters (PMs) Monitoring by Computing Associations Among Extracted Multimodal Features Applying Bayesian Network Approach. Applied Artificial Intelligence. F. 2.777.doi. 10.1080/08839514.2022.2112545 
  13. Shim, S. O., Alkinani, M. H., Hussain, L., & Aziz, W. (2022). Feature Ranking Importance from Multimodal Radiomic Texture Features using Machine Learning Paradigm: A Biomarker to Predict Lung Cancer. Big Data Research, 100331. F. 3.739
  14. Attaullah, M., Ali, M., Hussain, L.et al. (2022) Initial stage Covid-19 Detection System based on Patients’ Symptoms and Chest X-ray Images. Applied Artificial Intelligence. I.F. 2.777
  15. Qureshi, S.A., Raza, S.E.A, Hussain, L.(2022) Intelligent Ultra-Light Deep Learning Model for Multi-Class Brain Tumor Detection. Applied Sciences. I.F. 2.679.
  16. Khan, S.M; .., Hussain, L. (2022). Improved Multi-Model Classification Technique for Sound Event Detection in Urban Environments. Applied Sciences. F. 2.838.
  17. Hussain L. et al. (2022) Feature ranking methods to improve epileptic seizure prediction by employing machine learning algorithms. Waves in Random and Complex Media. I.F. 4.853. (Accepted)
  18. Qureshi, S.A., Hussain, L. (2022). Kalman Filtering and Bipartite Matching based Super-Chained Tracker Model for online Multi-Object Tracking in Video Sequences. Applied Sciences. F. 2.838.
  19. Rathore, F., Hussain, L. (2022) Survival Prediction of Glioma Patients from Integrated Radiology and Pathology Images using Machine Learning Ensemble Regression Methods. Applied Sciences. F. 2.838.
  20. Mussadiq, U.… Hussain, L. (2022). The Intelligent Modelling and Optimization of an Economic and Ecosystem-Friendly Model for Grid Connected Prosumer Community. Plus One. I.F. 3.752.
  21. Rehman, M. ……, Hussain, L. (2022). Machine Learning Based Skin Lesion Segmentation Method with Novel Borders And Hair Removal Techniques. Plos One. I.F. 3.752. 2021

2021

  1. Hussain, L.,Huang, P., Nguyen, T. et al. (2021) Machine learning classification of texture features of MRI breast tumor and peri-tumor of combined pre- and early treatment predict pathologic complete response. BioMed Eng OnLine 20, 63. https://doi.org/10.1186/s12938-021-00899-z. F. 2.819
  2. Iqbal, S., Hussain, L. (2021) Image Enhancement Methods on Extracted Texture Features to Detect Prostate Cancer by Employing Machine Learning Techniques. Waves in Random and Complex Media.F. 4.853.
  3. Lone, K.J., Hussain, L.,et al. (2021) Detecting Basic Human Activities and Postural Transition using Robust Machine Learning Techniques by Applying Dimensionality Reduction Methods. Waves in Random and Complex Media. I.F. 4.853. doi: http://dx.doi.org/10.1080/17455030.2021.1971325
  4. Anjum, S., Hussain, L.et al. (2021)Detecting Brain Tumors using Deep Learning Convolutional Neural Network with Transfer Learning Approach, International Journal of Imaging Systems and Technology. F. 2.00. DOI: 10.1002/ima.22641
  5. Iqbal, S., Siddiqui, G.F., Rehman, A., Hussain, L.et al. (2021) Prostate Cancer Detection using Deep Learning and Traditional Techniques. IEEE Access.DOI:10.1109/ACCESS.2021.3057654. F. 4.098
  6. Rafique, M., Iqbal, J., Lone, K.J…. Rahman,S.R, Hussain, L.(2021) Multifractal Detrended Fluctuation Analysis of Soil Radon (222Rn) and Thoron (220Rn) Time Series. Journal of Radioanalytical and Nuclear Chemistry. F. 1.371.
  7. Hussain et al. (2021)Machine Learning Based Lungs Cancer detection using Reconstruction Independent Component Analysis and Sparse Filter Features. Waves in Random and Complex Media. F. 4.853.
  8. Anjum, S., Hussain, L.et al. (2021) Automated Multi-class Brain tumor types detection by extracting RICA based features and employing machine learning techniques. Mathematical Biosciences and Engineering. F. 2.080.

2020

  1. Hussain, L., Nguyen, T., Li, H. et al. (2020)Machine-learning classification of texture features of portable chest X-ray accurately classifies COVID-19 lung infection. BioMed Eng OnLine 19, 88. F. 2.819.
  2. Aziz, W., Hussain, L., et al. (2020) Machine learning based classification of normal, slow and fast walking by extracting multimodal features from stride interval time series.Mathematical Biosciences and Engineering. 18 (1): 495-517. F. 2.080.
  3. Hussain, L., et al. (2020)Machine learning based congestive heart failure detection using feature importance ranking of multimodal features. Mathematical Biosciences and Engineering.18(1): 69-91. doi: 10.3934/mbe.2021004. F. 2.080.
  4. Hussain, L.et al. (2020). Detecting congestive heart failure by extracting multimodal features with synthetic minority oversampling technique (SMOTE) for imbalanced data using robust machine learning techniques. Waves in random and complex media. DOI:10.1080/17455030.2020.1810364. I.F. 853.
  5. Butt, F.M., Hussain, L., et al. (2020) Artificial Intelligence based accurately load forecasting system to forecast short and medium-term load demands. Mathematical Biosciences and Engineering. 18 (1): 400-425. F. 2.080.
  6. Jawad, M., Nadeem, M.S.A.,Shim, S., Khan, I.R, Shaheen, A., Habib, N., Hussain, L., Aziz, W. (2020). Machine Learning based Cost Effective Electricity Load Forecasting Model using Correlate Meteorological Parameters. IEEE Access.DOI: 10.1109/ACCESS.2020.3014086.F. 4.098.
  7. Iqbal, J., Lone, K.J., Hussain, L. and Rafique, M., (2020). Detrended cross correlation analysis (DCCA) of radon, thoron, temperature and pressure time series data. Physica Scripta. https://doi.org/10.1088/1402-4896/ab9fb1. F. 2.487.
  8. Manshad A.M, Qumar A.A., Petrovich B.A., Hussain, L(2020)Conflict matrix as a mechanism of identifying the conflict in emotions of written text. International Journal of Engineering & Technology, 9(2), 541-545. 0.690
  9. Hussain, L., Aziz, W., Saeed, S. et al. (2020)Extracting mass concentration time series features for classification of indoor and outdoor atmospheric particulates. Acta Geophys. https://doi.org/10.1007/s11600-020-00443-y. F. 2.054.
  10. Abbasi, A.A., Hussain, L., Awan, I.A. et al. (2020) Detecting prostate cancer using deep learning convolution neural network with transfer learning approach. Cogn Neurodyn (2020). https://doi.org/10.1007/s11571-020-09587-5 I.F. 082
  11. Hussain,L.et al. (2020) Analyzing the dynamics of sleep electroencephalographic (EEG) signals with different pathologies using threshold-dependent symbolic entropy. Waves in random and complex media:https://doi.org/10.1080/17455030.2020.1743378. F. 4.853
  12. Hussain, L.,Awan, I. A., Aziz, W., Saeed, S., Ali, A., Zeeshan, F., & Kwak, K. S. (2020). Detecting Congestive Heart Failure by Extracting Multimodal Features and Employing Machine Learning Techniques. BioMed Research International, 2020.  3.411
  13. Anjum S., Hussain L., Ali M., Abbasi A.A. (2020) Automated Multi-class Brain Tumor Types Detection by Extracting RICA Based Features and Employing Machine Learning Techniques. In: Kia S.M. et al. (eds) Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology. MLCN 2020, RNO-AI 2020. Lecture Notes in Computer Science, vol 12449. Springer, Cham. https://doi.org/10.1007/978-3-030-66843-3_24

2019

  1. Hussain, L., Aziz, W., Alshdadi, A.A., Nadeem, M.S.A. and Khan, I.R.,(2019). Analyzing the Dynamics of Lung Cancer Imaging Data Using Refined Fuzzy Entropy Methods by Extracting Different Features. IEEE Access, 7, pp.64704-64721. F. 4.098.
  2. Hussain, L., Saeed, S., Idris, A., Awan, I.A., Shah, S.A., Majid, A., Ahmed, B. and Chaudhary, Q.A., (2019). Regression analysis for detecting epileptic seizure with different feature extracting strategies. Biomedical Engineering/Biomedizinische Technik.F. 1.096.
  3. Hussain L.Aziz, W, Alshdadi, A.A.,, Abbasi, A.A., Majid, A., Marchal, A.R. (2019) Multiscaled entropy analysis to quantify the dynamics of motor movement signals with fist or feet movement using topographic maps. Technology and Health Care, pp. 1-15. F. 1.285
  4. Hussain, L. al. (2019). Applying Bayesian Network Approach to Determine the Association Between Morphological Features Extracted from Prostate Cancer Images. IEEE Access, 7, 1586-1601. DOI. 10.1109/ACCESS.2018.2886644. IF. 4.098.
  5. Hussain, L., Saeed, S, Awan, I.A, Idris, A, Nadeem, M.S.A, Chaudhary, Q. (2019). Detecting Brain Tumor using Machine Learning Techniques Based of Different Features Extracting Strategies. Current Medical Imaging Reviews, 14 (1). DOI: https://doi.org/10.2174/1573405614666180718123533 I 0.812.

2018

  1. Hussain, L. al. (2018)Arrhythmia Detection by Extracting Hybrid Features based on Refined Fuzzy Entropy (FuzEn) Approach and Employing Machine Learning Techniques. Waves in Random and Complex Media. DOI:10.1080/17455030.2018.1554926. IF. 4.853.
  2. Hussain, L., Aziz, W., Saeed, S., Idris, A., Awan, I.A., Shah, S.A., Nadeem, M.S.A., Rathore, S. (2018)Spatial Wavelet-based Coherence and Coupling in EEG signals with Eye open and close during resting states.  IEEE Access, 6(1), 37003-37022. DOI. 1109/ACCESS.2018.2844303. F. 4.098
  3. Hussain, L. (2018). A Deeper Analysis of Detecting Epileptic Seizure with Different Feature Extracting Strategies using Robust Machine Learning Classification Techniques by Applying Advance Parameter Optimization Approach. Cognitive Neurodynamic. DOI: 10.1007/s11571-018-9477-1.  5.082
  4. Hussain, L.,Ahmed, A., Saeed, S., Rathore, S., Awan, IA., Shah, S.A., Majid, A. Idris, A., Awan, AA. (2018). Prostate Cancer Detection using Machine Learning Techniques by Employing Combination of Features Extracting Strategies. Cancer Biomarker. DOI: 10.3233/CBM-170643.  4.388.
  5. Asim, Y., Raza, B., Malik, AK., Rathore, S., Hussain, L.Iftikhar, MA. (2018). A multi-modal, multi-atlas based approach for Alzheimer detection via machine learning. International Journal of Imaging Systems and Technology. DOI: 10.1002/ima.22263. F. 2.00.

2017

  1. Hussain, L., Aziz, W., Alowibdi, J. S., Habib, N., Rafique, M., Saeed, S., & Kazmi, S. Z. H. (2017). Symbolic time series analysis of electroencephalographic (EEG) epileptic seizure and brain dynamics with eye-open and eye-closed subjects during resting states. Journal of Physiological Anthropology, 36(1), 21. F. 2.867.
  2. Hussain, L., Aziz, W., Saeed, S., et al. (2017).Quantifying the dynamics of electroencephalographic (EEG) signals to distinguish alcoholic and non-alcoholic subjects using an MSE based K-d tree algorithm. Biomedical Engineering / Biomedizinische Technik. Aug. 2017, from doi:10.1515/bmt-2017-0041.  1.458.
  3. Hussain, L., Aziz, W., Saeed, S., Shah, S. A., Nadeem, M. S. A., Awan, I. A., … & Kazmi, S. Z. H. (2017). Complexity analysis of EEG motor movement with eye open and close subjects using multiscale permutation entropy (MPE) technique. Biomedical Research28(16), 7104-7111.  0.236

 

 

Book Chapters

 

  • Hussain, L., & Abbasi, A. A. (2022). AI-based non-deep learning and deep learning techniques used to accurately predict prostate cancer. In Artificial Intelligence in Cancer Diagnosis and Prognosis, Volume 3: Brain and prostate cancer (pp. 6-1). Bristol, UK: IOP Publishing.
  • Abbasi, A.A., Hussain, L., Ahmed, B. (2023). Improving Multi-class Brain Tumor Detection Using Vision Transformer as Feature Extractor. In: Nandan Mohanty, S., Garcia Diaz, V., Satish Kumar, G.A.E. (eds) Intelligent Systems and Machine Learning. ICISML 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 470. Springer, Cham. https://doi.org/10.1007/978-3-031-35078-8_1
  • Ahmed, S.R.…..,,& Hussain, L. et al. (2025). Deep Learning in Medical Imaging for Early Disease Detection. In: Liu, W., Wang, Q., Feng, J., Zhang, W. (eds) Proceedings of the 4th International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT 2024). ICFEICT 2024. Lecture Notes in Electrical Engineering, vol 1414. Springer, Singapore. https://doi.org/10.1007/978-981-96-5318-8_35.
  • Alabbas, Z.M.A., …..,,& Hussain, L.et al. (2025). Developing Deep Learning Algorithms for Adaptive Control in Prosthetics. In: Liu, W., Wang, Q., Feng, J., Zhang, W. (eds) Proceedings of the 4th International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT 2024). ICFEICT 2024. Lecture Notes in Electrical Engineering, vol 1414. Springer, Singapore. https://doi.org/10.1007/978-981-96-5318-8_14.

Patent

 

  • G. Arul, Fahd N. Al-Wesabi, Algubelly Yashwanth Reddy, Lal Hussain. Industrial Safety Patent. Design No. 371035-00, Patent No. 124365. Dated. 10/01/2023. Intellectual property Patent Design Trademarks Geographical Indications.

 

Conference Papers Presentation/ Proceedings

 

  • Presented invited talk as Keynote speaker titled “Transforming Medical Care AI-Powered Solution for Prediction, Diagnosis, and Prognosis” organized by Wah Medical College, Wah Cant, Pakistan on AI in Medical Sciences Conference held from April 11-13, 2025.
  • Virtually presented invited talk as Keynote speaker titled “Bayesian Dynamic Profiling and Optimization of Important Ranked Energy from gray level co-occurrence (GLCM) Features for Empirical Analysis of Brain MRI” organized by BayesiaLab Spring Conference 2023 held from March 23-24, 2023.
  • Virtually presented paper titled “Improving Multi-class Brain Tumor Detection using Vision Transformer as Feature Extractor” in EAI 1st International conference on intelligent systems and machine learning (ICISML 2022) organized by Vardhaman College of Engineering Hyderabad, India held from December 16-17, 2022.
  • Virtually presented an invited talk as Keynote speaker titled “The importance of AI medical Practice” in an international symposium on Artificial Intelligence in Medical and Surgical Practice organized by Al imam Mohammad ibn Saud Islamic university Riyadh, Saudi Arabia held from March 22-25, 2022.
  • Virtual Presented paper titled “Optimizing Parameters of Artificial Intelligence Deep Convolutional Neural Networks (CNN) to improve Prediction Performance of Load Forecasting System” ICSDI-2022 organized by Prince Sultan University, KSA held from February 19-22, 2022 at PSU, KSA.
  • Virtual Presented paper titled “Automated Multi-class Brain tumor type detection by extracting RICA based features and employing machine learning techniques” 2nd Radiomics and Radiogenomics in Neuro-oncology using AI (RNO-AI 2020) workshop held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2020) in Lima Peru from October 6-8, 2020.

7)     Presented a paper titled “Automated Breast Cancer Detection using Machine Learning Techniques by Extracting Different Feature Extracting Strategies” 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering, Proceedings of TrustCom/BigDataSE 2018 IEEE Catalog Number: CFP18TRU-USB, ISBN: 978-1-5386-4387-7,  July 31 to August 03, 2018, New Jersey, USA, IEEE Trustcom 2018 (pp.327-331).

8)     Paper presented “Automated Lung Cancer Detection based on Multimodal Features Extracting Strategy Using Machine Learning Techniques” to be held at Town & Country Resort and Convention Center, San Diego, California, United States from 16 - 21 February 2019 In Medical Imaging 2019: Physics of Medical Imaging (Vol. 10948, p. 109483Q). International Society for Optics and Photonics.in SPIE MEDICAL IMAGING.

  • Presented a paper titled “Wavelet Phase Coherence in EEG with EC and EO during resting states. 2015 Complex Adaptive Systems, Missouri University of Science and Technology, November 2-4, 2016, Los Angles, California, USA
  • Presented a paper titled “Coupling functions between brain waves: Significance of opened/closed eyes. 21st World Multiconference on Systemics, Cybernetics and Informatics (WMSCI 2017) Special track on Knowledge and Cognitive Science and Technologies: KCST 2017, July 8-11, 2017, Orlando, Florida, USA. Proceedings of the 21st World Multi-Conference on Systemics, Cybernetics and Informatics (WMSCI 2017). (Vol. II, pp. 275-280).
  • Presented a paper titled “Real-Time Emotion Recognition in Human Speech Using Neural Networks”, 1st International Conference, on Engineering Sciences (ICES 2012), Feb.28-29, 2012, Punjab University Lahore, Pakistan
  • Presented a paper titled “Multiscale Entropy Analysis of Electroencephalogram (EEG) of Alcoholic and Control Subjects. 2nd Conference on Emerging Trends in Bioinformatics and Computational Biology, MAJU, Islamabad, Pakistan
  • Asim, Y., Malik, A.K., Raza, B., Bilal, A., Hussain, L. (Dec. 2017)., "Ensemble of SVM Classifiers for Automated Multi-Modality Segmentation of White-Matter Lesions," 2017 International Conference on Frontiers of Information Technology (FIT), Islamabad, Pakistan, 2017, pp. 161-166. doi:10.1109/FIT.2017.00036

 

MCS Projects

Development of Web Forum for UAJK using C#, My SQL         

M.Phil./ MS Thesis

Title: Real-Time Emotion Recognition in Human Speech Using Neural Network

 

Seminars Made/ Participated

 

  • Organized and held a seminar on US Exchange undergraduate scholarship in collaboration with Pak-US Alumni Network AJK North Chapter on August 29, 2023
  • Participated in Webinar on How to get published organized by SAGE on June 21, 2023
  • Participated in MATLAB expo 2023 held online from May 10-11, 2023.
  • Participated in Disability rights conference organized by Nobel Foundation for disabled Persons held on December 03, 2022 at Municipal Corporation, Muzaffarabad
  • Participated in IEEE Authorship and Open access symposium: Tips and best practices to get published from IEEE editors on September 28, 2022
  • Participated in one month seminar online on Training Course on Horticulture & Fruit and Vegetable Processing for Pakistan organized by School of International Education, Hainan
    University, China held from Dec. 08 to Dec. 29, 2021.
  • Participated in a seminar on MR-Based Network Analysis of the Rodent Brain: Monitoring of Disease Progression and Treatment Efficacyorganized by Montefiore Medical Center, Bronx, New York, USA June 04, 2021.
  • Participated in a seminar on Resting States fMRI organized by Montefiore Medical Center, Bronx, New York, USA on June 25, 2021.
  • Participated in a seminar on Know Before You Go: What’s Involved in Doing a Systematic Review organized by Montefiore Medical Center, Bronx, New York, USA on June 09, 2021.
  • Participated in a seminar on Glaucoma Neuroimaging and Neurotherapeutics in Humans and Experimental Animal Models organized by Montefiore Medical Center, Bronx, New York, USA on May 27, 2021.
  • Participated in a seminar on AI Engineering on Medical Image Analysis: From image Segmentation to Differential Diagnosis organized by Montefiore Medical Center, Bronx, New York, USA on April 23, 2021.
  • Acted as Keynote Speaker in a Conference titled Cyber Security in next generation technologies (AI, IoTs, Big Data, Cloud Computing) organized by Pakistan Information Security Association (PISA) at AJK Medical College, Muzaffarabad on June 02, 2018.
  • Acted as a resource person in conducting hands on training on Mendeley Desktop Software Seminar in collaboration with ORIC for M.Phil. and PhD students and Faculty members on May 10, 2018.
  • Made a Seminar titled “Writing Quality Research Papers and Research Theses for M.Phil. and PhD students” organized at Department of Computer Science, University of Azad Jammu and Kashmir, City Campus, Muzaffarabad on February 16, 2018.
  • Made a seminar titled “Spatial Coherence and Coupling connectivity between phase of brain waves: Differences in resting states with eye open and closed” at Nonlinear and Biomedical Physics Research Group (N&BMPR group), Physics Building, Lancaster University, UK on June 12, 2015.
  • Participated in a Seminar title “Bayesian Networks – Artificial Intelligence & Virtual Reality Research” organized by New York University, Kimmel Center, Classroom 912 60 Washington Square South New York, NY 10012, USA on November 14, 2017.
  • Participated in two Days seminar/workshop on Outcome Prediction in Attention, Learning and Cognitive Control organized by the Department of Experimental Psychology, University of Oxford, UK on March 19-20, 2015.

Training received / Courses completed

 

  • Participated in one day workshop on Online Course design and development perspective of Bloom taxonomy organized by QEC at Committee Room, City Campus on Dec. 7, 2020
  • Certificate of Participation in Three Days Workshop on Applications of Project Management in MS Project organized by Pakistan Manpower Institute, Ministry of Federal Education and Professional Training Islamabad held from March 27-29, 2017 at Islamabad.
  • Certificate of Appreciation issued by UAJK (December 2015) for making valuable contribution towards organizing a series of Four Indigenous on-campus Training Workshops at Quality Enhancement Cell, UAJK, Muzaffarabad under Modern University Governance Program of HEC from October to December 2015.
  • Certificate of Participation in recognition of attending Three Day Workshop on Good Governance of Non-Teaching Employees of Teaching Departments in collaboration with Higher Education Commission Indigenous On Campus Training (IoT) Program under Modern University Governance Program in various Modules such as Leadership Styles, Management Approaches, effective recruitment selection tools, Strategic Planning and Evaluation, Developing Strategic Planning and Thinking, Good Governance Techniques and Its effective implementation, Knowledge Management in Public Sector Organizations from Dec. 16-18, 2015 at Committee Room, City Campus, Muzaffarabad.
  • Certificate of Appreciation issued by UAJK (December 2014) for making valuable contribution towards organizing a series of Five Indigenous on-campus Training Workshops at Quality Enhancement Cell, UAJK, Muzaffarabad under Modern University Governance Program of HEC from August to December 2014.
  • Certificate of Participation issued by Higher Education Commission (September 2012) in recognition of attending of Workshop on “Role of Assessment Team in the Self-Assessment Process” on September 20, 2012 held at HEC regional center Peshawar.
  • Certificate of Participation issued by The University of Lahore and Institute of Research Promotion (March 2011) in recognition of attending one day Hands on Research Workshop on “Managing Plagiarism in Academic Research-Hands on Training Using turn it in Software” held on March 04, 2011 at University of Punjab, Lahore.
  • Certificate of Participation issued UAJK (January 2011) for organizing one day workshop on “Plagiarism: What is it and how to avoid it?” on January 06, 2011 held at Lincoln Corner, City Campus, Muzaffarabad.
  • Certificate of Participation issued by University of Azad Jammu and Kashmir in attending one day workshop on “Propagation of QEC Concepts and SAR Writing Methods” on March 19, 2010 held at University Auditorium, City Campus, Muzaffarabad.
  • Certificate of participation issued by UAJK in recognition of attending one day workshop on “Continuous Improvement of Quality” for All Heads of Departments and Program Team Members” on October 03, 2009 held at Electrical Engineering Block, Mirpur.
  • Certificate of Participation issued by Higher Education Commission, Quality Assurance Agency in recognition of attending a workshop on “Program Outcomes” on March 14, 2008 held at Punjab University, Lahore.

 

Conference/ Seminar Organization

  • Acted as member Conference Registration Committee in International Conference on Himalayan Biodiversity and Climate Change (ICHBCC-2014) from August 23-24, 2014, organized by Faculty of Science & Engineering, University of AJK, Muzaffarabad.
  • Acted as Program Coordinator in one Day Seminar on Biodiversity, Climate Changes and its Future Impacts on Himalayan Foothills, Athmuqam on October 03, 2013. The aim of this seminar is to create awareness about the biodiversity and effect of climate changes on Himalayan Foothills. Furthermore, to disseminate knowledge about the current state of biodiversity being influenced by climate change and to highlight the issues regarding present and future status of biodiversity, glaciers, water and land resources in Himalayan Foothills.

Workshops as Resource Persons

  • Acted as Assessment Team Expert to evaluate the BS AI program, Department of Computer Science at Hazara University Mansehra, Pakistan on May 05, 2025.
  • Acted as Assessment Team Expert to evaluate the BSCS program, Department of Computer Science at Hazara University Mansehra, Pakistan on April 26, 2024.
  • Conducted a workshop on MS Team Lectures and Papers Management, Online Readiness Proforma, Accreditation requirements on relevant proforma for faculty members of Jhelum Valley Campus, Hattian Bala on November 30, 2020.
  • Conducted a briefing meeting chaired by the Vice Chancellor regarding Ranking Parameters of Higher Education Institutions by HEC for Principal officers, Chairpersons, Directors and officers at City Campus on January 2016.
  • Acted as Resource Person in conducting technical sessions on Quality Assurance mechanism, standards, its implementation in newly opened sub-campuses for HoD, Faculty members and Staff at Neelum Campus, Athmuqam on December 29, 2015.
  • Acted as Resource Person in conducting technical sessions on Quality Assurance mechanism, standards, its implementation in newly opened sub-campuses for HoD, Faculty members and Staff at Jhelum Campus, Hattian Bala on December 11, 2015.
  • Acted as Resource Person in conducting technical sessions on How to Use Turnitin Software Hands on Exercise for M.Phil. and Ph.D. Supervisors at University Vide Conference Room, City Campus, Muzaffarabad on October 07, 2015.
  • Acted as resource person in Two Technical sessions on “Internet Applications and Email Handling” in Five Day Workshop on ICT Tools for Clerical Staff of Teaching Departments, under HEC Indigenous on Campus Training (IoT) Program for Clerical Staff of Finance, Audit and Examination from November 21-25, 2014 at City Campus, Muzaffarabad
  • Acted as resource person in Two Technical sessions on “Microsoft Excel and Internet” in Five Day Workshop on Financial Management and Audit Skills, under HEC Indigenous on Campus Training (IoT) Program for Clerical Staff of Finance, Audit and Examination from August 08-12, 2014 at City Campus, Muzaffarabad
  • Acted as Resource Person in one Day Workshop on Promulgation of QEC Concept in affiliated Postgraduate Colleges (Male/ Female), Bagh on May 15, 2014. A detailed presentation was delivered on Self-Assessment procedure, Self-Assessment Report writing methods, purpose of course and teacher evaluation surveys, Minimum Criteria for Affiliated Colleges and Semester Rules.
  • Acted as Resource Person in one Day Workshop on Promulgation of QEC Concept in affiliated Postgraduate Colleges (Male/ Female), Rawalakot on May 16, 2014. A brief presentation was delivered on Self-Assessment procedure, Self-Assessment Report writing methods, purpose of course and teacher evaluation surveys, Minimum Criteria for Affiliated Colleges and Semester Rules.
  • Acted as Resource Person in one Day Workshop on” Implementation of Self-Assessment mechanism and Semester Rules for Faculty of Health Sciences, Muzaffarabad Campus” on April 22, 2014. The presentation was delivered on Self-Assessment procedure, Self-Assessment Report writing methods, purpose of course and teacher evaluation surveys and new semester rules. Dr. Bashir-ur-Rehman, Director, Institute of Medical Technology, Dr. Mushtaq Ahmed, Chairman of Public Health and Faculty members of Health Sciences were participated in all the technical sessions.
  • Acted as a Resource Person in one Day Workshop on “Propagation of QEC Concepts, Self-Assessment Report Writing Method and new Semester Rules” for Govt. Degree College (Male/ Female) organized Leepa on September 19, 2013.
  • Acted as a Resource Person in one Day Workshop on “Propagation of QEC Concepts, Self-Assessment Report Writing Method and new Semester Rules” for Govt. Degree College (Male/ Female) organized at Govt. Postgraduate College, Athmuqam on May 30, 2013.
  • Acted as a Resource Person in one Day Workshop on “Propagation of QEC Concepts, Self-Assessment Report Writing Method and new Semester Rules” for Govt. P/G College (Male/ Female) organized at Govt. Postgraduate College, Muzaffarabad on May 09, 2013.
  • Acted as resource person in one Day Workshop on “Implementation of QA mechanism in Department of Education Schools (AJK) Male and Female for awareness to ADE Programs and Preparation of Self-Assessment Report “for Principals and Subject Specialist to assess the ADE Program organized Elementary College (Female), Muzaffarabad on May 04 2012, Rawalakot on May 10, 2012 and Mirpur A.K. on May 18, 2012.
  • Acted as a Resource Person in one Day Workshop on “Plagiarism Policy and Hands-on Exercise on Turnitin” for all the M.Phil./ Ph. D. Supervisors organized at City Campus, Muzaffarabad on March 12, 2012.
  • Acted as a Resource Person in one Day Workshop on “Plagiarism Policy and Hands-on Exercise on Turnitin” for all the M.Phil./ Ph. D. Supervisors organized by QEC at Faculty of Administrative Sciences, Kotli on Dec.23, 2011.
  • Acted as a Resource Person in one Day Workshop on “Propagation of QEC Concepts and Self-Assessment Report Writing Method” organized at Faculty of Administrative Sciences, Kotli on December 22, 2011.
  • Acted as a Resource Person in one Day Workshop on “Plagiarism Policy and Hands-on Exercise on Turnitin” for all the M.Phil./ Ph. D. Supervisors organized by QEC at UAJ&K, General Computer Lab., Muzaffarabad on July 23, 2011.
  • Acted as a Resource Person in one Day Workshop on “Propagation of QEC Concepts and Self-Assessment Report Writing Method” organized by QEC at UAJ&K, Lincoln Corner, Muzaffarabad on March 28, 2011.

Workshops Participated and Organized

.

  • Organized Hands-on Training on Science Direct, Scopus, ELSEVIER for M.Phil. and PhD Students in collaboration with A&J Def Tek Consultants, Islamabad on March 09, 2017.
  • Organized and Conducted Hands on Training for Focal Person of BS, Masters, M.Phil. and PhD Programs on ERP System to conduct Course and Teacher Evaluation Surveys, Graduating Students Surveys, Alumni Surveys, Employers Surveys, Research Students Surveys, Faculty Surveys on Dec. 19, 2016 and February 28, 2017.
  • Organized and conducted a meeting of with HoDs and Faculty members regarding preparation of PhD Program Review Data by HEC on January 05, 2017 and M.Phil. on January 10, 2017 and at Committee Room, City Campus, Muzaffarabad. Prof. Dr. Muhammad Rafique briefed the importance of review of MS/M.Phil. Program by HEC and Dr. Lal Hussain, briefed the relevant forms and documents with the HoDs and faculty members to be fully prepared before visit of HEC team.
  • Participated in Progress Review Meeting of Phase-III & IV QECs organized by the Higher Education Commission, at Grand Regency Hotel, Islamabad and presented the Progress of University of Azad Jammu and Kashmir from November 30-December 02, 2016.
  • QEC Organized and conducted two-day workshop on “Finance & Audit, Institutional Performance, Communication Skills and IT tools for non-teaching employees of the University from Dec. 29-30, 2016 at City Campus, Muzaffarabad. Prof. Dr. Nisar Hussain Hamdani Director KIE, Muhammad Idrees Khan, Director IT finance AJK, Govt., Dr. Batool Atta Chairperson institute of education, Dr. Lal Hussain, Assistant Director QEC and Mr. Imran Shamoon acted as resource persons in various modules such as ethics, institutional performance, finance and Audit, Communication Skills and IT Tools
  • Organized Assessment Meeting to evaluate the SAR Ph.D. Program, Department of Chemistry, Ph.D. Program, Department of Mathematics, M.Sc. Program Mathematics, BS Program Mathematics, BS Program Medical Technology, M.Phil. Statistics, M.Phil. Physics, M.Phil. Education, MA Islamic Studies from July 2016-May 2017
  • Organized one-day workshop on Self-Assessment Report writing methods on November 24, 2016, at Women University Bagh. Prof. Dr. Muhammad Rafque, Director QEC and Dr. Lal Hussain, Assistant Director QEC Acted as resource persons in the said workshop. The agenda of the workshop is to disseminate the concept of QA, Self-Assessment Procedure, Functions of QEC, Curriculum Development and Organization and other set assigned criterion laid down by HEC.
  • Organized and assisted in Three Day Workshop on Good Governance of Non-Teaching Employees of Teaching Departments in collaboration with Higher Education Commission Indigenous On Campus Training (IoT) Program under Modern University Governance Program in various Modules such as Leadership Styles, Management Approaches, effective recruitment selection tools, Strategic Planning and Evaluation, Developing Strategic Planning and Thinking, Good Governance Techniques and Its effective implementation, Knowledge Management in Public Sector Organizations from Dec. 16-18, 2015 at Committee Room, City Campus, Muzaffarabad.
  • Organized and assisted in Three Day Workshop on Good Governance of Non-Teaching Employees of Teaching Departments in collaboration with Higher Education Commission Indigenous On Campus Training (IoT) Program under Modern University Governance Program in various Modules such as Product Development and Marketing, Human Resource Management and Management Skills from Dec. 02-04, 2015 at Committee Room, City Campus, Muzaffarabad.
  • Organized and assisted in Three Day Workshop on Finance and Audit of Non-Teaching Employees of Teaching Departments in collaboration with Higher Education Commission Indigenous On Campus Training (IoT) Program under Modern University Governance Program in various Modules such as New Accounting Modules and Accounting Policies, Budgeting in Public Sector Universities and preparation of Cash Flow Statement from Nov. 18-20, 2015 at Committee Room, City Campus, Muzaffarabad.
  • Organized and assisted in Three Day Workshop on Finance and Audit of Non-Teaching Employees of Audit and Finance section in collaboration with Higher Education Commission Indigenous On Campus Training (IoT) Program under Modern University Governance Program comprising of Modules such as New Accounting Models, Treasury Rules and Management, University Financial Rules and Audit from Oct. 28-30, 2015 at Committee Room, City Campus, Muzaffarabad.
  • Organized HE Students Satisfaction Surveys under Collaboration of SEBCON (Pvt.) Ltd. And Higher Education Commission at Video Conference Room, City Campus, Muzaffarabad from October 19-20, 2015.
  • Conducted and Organized Five Day Workshop on ICT Tools of Clerical Staff of Registrar, Finance, Audit, Examination, DASR and ORIC sections, under HEC Indigenous on Campus Training (IoT) Program for Clerical Staff of Finance, Audit and Examination From Dec. 05-09, 2014 at City Campus, Muzaffarabad
  • Held a briefing meeting on December 05, 2012 with the Director, Faculty members, Program Team members Institute of Economics, University of Azad Jammu and Kashmir, Muzaffarabad.
  • Conducted and Organized Five Day Workshop on ICT Tools for Clerical Staff of Teaching Departments, under HEC Indigenous on Campus Training (IoT) Program for Clerical Staff of Finance, Audit and Examination from Nov.21-25, 2014 at City Campus, Muzaffarabad.
  • Conducted and Organized Five Day Workshop on University Management Information Systems (UMIS) Tools, under HEC Indigenous on Campus Training (IoT) Program for Clerical Staff of Finance, Audit and Examination from August 29-Sep. 02, 2014 at City Campus, Muzaffarabad
  • Conducted and Organized Five Day Workshop on Financial Management and Audit Skills, under HEC Indigenous on Campus Training (IoT) Program for Clerical Staff of Finance, Audit and Examination from August 08-12, 2014, at City Campus, Muzaffarabad.
  • Participated in 6th Meeting of 24 QECs of Phase-IV organized by HEC at Islamabad from June 11-12, 2014, at HEC Islamabad.
  • Participated in 5th Meeting of 24 QECs of Phase-IV organized by HEC at Islamabad from January 22-23, 2014 at HEC Islamabad.
  • Teamwork in meeting for Third Party Evaluation Panel on October 25, 2013. The purpose of the team is to review the Progress of QEC based on Program assessment. The team interviewed the QEC regarding Establishment and Organizational Structure of QEC, Procedure Developed/ Adopted, Main Proformae self-developed/ adopted, Selection of PTs and ATs and assessment of their selection, No. of Departments/ Programs being assessed, Quality of Assessment, its control and improvements and Level of satisfaction about overall functioning of QEC and whether it needs to be reformed in its Administrative structure Procedures adopted Self-Assessment Proformae/ Evaluation Frequency, Selection of members of Program/Assessment Teams, Decentralization etc.
  • Teamwork in meeting for Institutional Performance (IPE) review Panel on October 09-10, 2013. The purposed of the team is to visit the University to look it critically, to take input from stake holders such as Registrar, Director Finance, Faculty, Students, QEC and to take the necessary steps towards continuous quality improvement. Review Panel evaluated the University based on the standards such as Program Mission, Objectives and Outcomes, Planning and Evaluation, Organization and Governance, Faculty, Students, Institutional Resources, Academic Programs & Curricula and Assessment & Quality.
  • Organized one Day Workshop on implementation of new semester Rules for Bachelor, Masters, MS/M.Phil. and PhD Programs on Feb. 20, 2013 at University Auditorium, Muzaffarabad.
  • Participated in one Day Workshop on November 20, 2012 “Developing University-Industry Linkage through Professional Development and Performance Productivity” The purpose of event is to train the faculty members, M.Phil. / PhD scholars to enhance performance productivity and Industry Linkage.
  • Participated in Third Meeting of Twenty-Four Quality Enhancement Cells (Phase-IV) held on 19th -20th September 2012 at HEC Regional Center, Peshawar.
  • Conducted a briefing Meeting with Cyber Vision International team to Online the QEC Surveys on September 10, 2012, at University of Azad Jammu and Kashmir, Muzaffarabad
  • Participated in one Day Workshop on August 27, 2012 “General Criteria for ABET (Accreditation Board for Engineering & Technology) accreditation & Preparation of Course Files” at Video Conference Room, City Campus, Muzaffarabad. The Workshop was arranged for all HoDs and Faculty members for Introduction on accreditation, including the general criteria for ABET (Accreditation Board for Engineering & Technology) accreditation – a US-based body which accredits computing and engineering programs. Curriculum development and continuous improvement process Course Binder (Course Files).
  • Participated in Strategic Planning for Teachers Education in University of AJK, Organized at Hill View Hotel, Islamabad from Feb. 29-March 01, 2012.
  • Attended and organized One Day Workshop on “Plagiarism: What is it? And how to avoid it?” held at Lincoln Corner, University of Azad Jammu & Kashmir, City Campus, Muzaffarabad on January 06, 2011 for Chairmen Examination Committee and HODs.
  • Attended and organized One Day Workshop on” Propagation of QEC Concept and Self-Assessment Report Writing Methods” for all heads of Depts. & PT members held at University Auditorium, City Campus, Muzaffarabad on March 19, 2010 for all Faculty/Program Team members and Heads of Departments of the University City Campus.
  • Attended and organized a “One Day Workshop on QEC continuous improvement of Quality of Education” for all heads of Depts. & PT members held at Conference Hall, Mirpur University of Science & Technology, Mirpur on Oct 03, 2009 attended by all Faculty/Program Team members and Heads of Departments of the University.
  • Attended a Workshop on “Quality Enhancement Cells” organized by HEC at Punjab University, Lahore on 12-13 March 2008 to share the outcomes of the evaluation of the model Departments as well as the steps taken to overcome the deficiencies.
  • Attended and organized One Day Workshop on “Self-Assessment” held at University College of Engineering & Technology on March 07, 2008 attended by all Faculty/Program Team members and Heads of Departments of the University.

 

 

Education

  1. Ph.D. in Computer Science University of Azad Jammu and Kashmir, Muzaffarabad, Pakistan February 12, 2016

(CGPA of 4.0/4.0) with distinctions; Six Months Research at Lancaster University, UK. Spring 2012-Fall 2015

Research Topic:  Analyzing the Dynamics of Electroencephalographic (EEG) Signals using                                          Time-Frequency and Entropy Based Computational Techniques

  1. MS (CS), Iqra University, Islamabad, Pakistan,

             Fall 2010-Fall 2011 CGPA is 3.5/4.0 with Gold Medal

  • MCS (Masters in Computer Science), University of Azad Jammu & Kashmir, Muzaffarabad, Pakistan, 2003-2005 GPA is 3.3/4.0
  1. Sc. (Mathematics & Statistics), Postgraduate College, Muzaffarabad, Pakistan, 2000-2002, percentage is 74 %.
  2. HSSC (Math, Phy. Chem), Intermediate College Kel, Neelum, Pakistan, 1998-2000, % age is 65 %.
  3. SSC (Science), Intermediate College Kel, Neelum, Pakistan, 1996-1998, percentage is 62 %.

Employment

  • August 21 2019 to Date University of Azad Jammu & Kashmir Office at Neelum Campus Athmuqam (A.K) as Assistant Professor at Department of Computer Science & IT

Responsibilities:

  1. Teaching & Research, Program Assessment and Evaluation, Student supervision, mentoring and career counseling to undergraduate and graduate level students
  2. Teaching Data Mining, Signal and System, Mathematical Computing, Digital signal Processing, Digital Image Processing, Business Communication & Reports Writing to undergraduate students
  • Supervising / Co-supervising M.Phil. and PhD students of DCS & IT City Campus
  • January 2018 to Aug. 20, 2019 University of Azad Jammu & Kashmir Office at City Campus Muzaffarabad (A.K) as Programmer/ Lecturer at Department of Computer Science & IT

Responsibilities:

  1. Actively involved in research after acquiring PhD degree by publishing 70 plus IF and ISI indexed papers as PRINCIPAL AUTHOR
  2. Presented research papers in international conferences (05 papers in USA), 01 Lima Peru and
  • 3 papers in different conferences held in Pakistan.
  1. Taught Artificial Intelligence, Advanced Object-Oriented Programming, Advanced Computer Architecture, Advanced Biomedical Signal Processing, Biomedical Signal Analysis and Processing, Advanced Analysis and Design of Algorithm, Digital Image Processing, Compiler Construction to BS, MCS and M.Phil. Classes
  2. Conducted various Seminars nationally and internationally.
  • January 2018 to Date University of Azad Jammu & Kashmir Office at City Campus

Muzaffarabad (A.K) as Focal Person, Pakistan Qualification Framework Register (PQR)

Responsibilities:

  • To manage/ handling queries of all degree programs of AJK University, affiliated colleges, and campuses on HEC PQR eportal

 

  • January 2020 to Date Stony Brook University and Montefiore Medical Center & Albert Einstein College of Medicine, New York, USA Visiting Researcher, research collaborator Prof. Dr. Tim Duong

 

  • December 2014 to June 2016 Lancaster University, Lancaster, UK six months as visiting Scholar/ Researcher during PhD under HEC IRSIP under supervision of Prof. Dr. Aneta Stefanovska
  • (2011 to 2014) Visiting Lecture at different Departments of AJK University, Muzaffarabad

 

Responsibilities:

  1. Taught Computer Applications to Law, Business Administration, Health Sciences BS students.
  • (June 2005 to Dec 2005 and Nov.10, 2009 to Nov.2011) Tech Era College Muzaffarabad Bank Road as a visiting Lecturer.

Responsibilities:

  1. Taught Computer Networks to BSCS classes.
  • Teaching Programming Fundamental (C++), Database Management System, Object Oriented Programming, Discrete Mathematics, Theory of Automata, Web Programming (HTML, DHTML, Java Script, PHP) to MCS, MBA classes.
  1. Trouble shouting and Maintenance Computer Hardware and Software programs in Computer Lab.

 

  • ( 2009 to 2011) Visiting Lecture at Muzaffarabad College for Higher Studies Muzaffarabad, Azad Kashmir, Pakistan

Responsibilities:

  1. Taught Introduction to Computer Applications in IT to BBA and MBA classes

 

  • (Oct 31, 2006 to January 20, 2018) University of Azad Jammu & Kashmir Office at City Campus Muzaffarabad (A.K) as Programmer/Assistant Director Quality Enhancement Cell (QEC) and Department of Computer Science & IT.

Responsibilities:

 

  1. Assist in implementing self-Assessment Mechanism for the University guided by Higher Education Commission of Pakistan.
  2. Organize workshops for Orientation/ Training of Program Team members of the Depts-UAJK.
  • Assist PT in Preparing Reports for Self-Assessment on Monthly & Quarterly Basis as advised by HEC.
  1. Prepare Presentations for the Workshops/Trainings/Meetings attended by QEC at National/International level for the awareness on the subject.
  2. Prepare University Progress Report and Third-Party Evaluation Report
  3. Analysis of Proformae using software tools and incorporating in the Self-Assessment Reports.
  • Prepare Progress Reports of QEC on Quarterly and yearly basis.
  • Assist in implementing self-Assessment Mechanism for the University guided by Higher Education Commission of Pakistan.
  1. Organize workshops for Orientation/ Training of Program Team members of the Depts-UAJK.
  2. Assist PT in Preparing Reports for Self-Assessment on Monthly & Quarterly Basis as advised by HEC.
  3. Prepare Presentations for the Workshops/Trainings/Meetings attended by QEC at National/International level for the awareness on the subject.

 

 

 

Administrative responsibilities UAJK:

  • Focal Person Pakistan Qualification Framework (PQR), January 2018 to December 2020
  • Focal Person Quality Enhancement Cell (QEC) Neelum Campus, January 2023 to date
  • Chairman Examination Committee, January 2023 to date
  • Chairman, Event Management Committee January 2021 to date
  • Chairman Admission Committee, January 2022 to date
  • Member Academic Review Committee, January 2021 to date
  • Hostel Warden, Neelum Campus, January 2021 to date

 

Courses Taught

 

Data Mining

Advanced Computer Architecture

Digital Image Processing

Data Science

Bioinformatics

Database Management System

Advanced Object-Oriented Programming using Java

Discrete Structures

Artificial Intelligence

Artificial Neural Networks

Programming Fundamental (C++)

Machine Learning  and Deep learning Techniques

Digital Signal Processing

Data Structure

Signals and Systems

Advanced Analysis of Algorithm

Biomedical Signal Processing

Theory of Automata

Digital Logic Design

Android App Development

Compiler Constructor

Numerical Computing with C++

Research & Ethics and Computer Application in Biostatistics

Web-Programming

Software Engineering

Information Security

 

Technical Skills and Capabilities

  • Software C, C++, C#, D/HTML, PHP, Java, Android Studio, MATLAB, R, Python, SPSS, SAS, Origin, Advanced Office Automation tools including Excel spreadsheets, MS word, MS PowerPoint, MS access, MYSQL, SQL server.
  • Machine Learning on Coursera by Stanford University Certificate earned on July 18, 2017.
  • Improving Deep Neural Networks: Hyperparameters Tuning, Regularization and Optimization on Coursera by Stanford University Certificate earned on January 30, 2023
  • Convolutional Neural Networks on Coursera by Stanford University Certificate earned on February 12, 2023
  • Neural Networks and Deep Learning on Coursera by Stanford University Certificate earned on February 21, 2023
  • Research and Analytical Skills AI-based machine learning and Deep Learning techniques, Complexity analysis - entropy based computational techniques, wavelet phase coherence, cross frequency coupling, machine learning classification and prediction techniques, neural network analysis, high problem solving such as big data analysis, data Optimization, statistical data analysis, solutions to biological and medical problems using image processing including breast cancer, lung cancer detection and diagnosis, sleep disorders etc.

 

  • Projects Cancer Prediction (Lung cancer, Breast Cancer, Brain tumor), congestive heart failure, v smart vehicle accident avoidance, Human activity detection, Accurate load forecasting system.
  • Certificates MS project management, modern tools for computation, management skills and approaches, audit and finance, managing plagiarism in academic research using Turnitin software, quality assurance and role in self-assessment, advanced techniques in data analysis, professional competency enhancement program for teacher training (PCEPT), self-assessment report writing methods and GRE.

 

  • Book Review Reviewed Computer science for Beginners 6th, 7th and 10th grades, AJK Text Board, Muzaffarabad, Pakistan as Chairman review committee.
  • Book Chapter published in Artificial Intelligence in Cancer Diagnosis and Prognosis, Volume 3 Brain and prostate cancer Edited by Ayman El-Baz, Jasjit S Suri IOP Book publishing October 2022
  • Guest Editor Frontiers in Oncology
  • Reviewer Editor Frontiers in Big Data, Frontiers in Oncology
  • Guest Editor, Guest Editor in Discover Computing Journal in Collection: Medical Imaging Decision Support Systems Using Deep Learning and Machine Learning Algorithms (2024)
  • Expert Reviewer in Academic Exchange Information Center (AEIC), China
  • Reviewer of various prestigious Journals 

Area of Interest

Tools

  • Machine Learning with feature extraction and selection, Deep Learning, Genetic Algorithms for parametric optimization, Neural Networks, Complexity Methods, Time-Frequency Approaches including Wavelet Phase Coherence and Cross Frequency Coupling (CFC)

Area

  • Biomedical and Neurophysiological Signal Processing (EEG Signals, Epileptic Seizure Detection, Motor Movement tasks, sleep disorders, congestive heart failure, AD, HCI, Arrhythmia etc, Human activity Detection.), Features extraction Approaches, Image Processing (Cancer Detection, Brain Tumor detection)

 

Honors/ Awards

  • Ranked in 2% World Scientist List by Elsevier 2021, 2022, 2023 and 2024 (https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw/7): Ranked Artificial Intelligence: 4,582.
  • Won travel grant to present paper at PSU from Pakistan Science Foundation for year 2022
  • Won three travel grants from HEC to present papers in different conference in USA for year 2016, 2017, 2018
  • Awarded Best Paper Award in an international conference Virtually presented a paper ICISML 2022 organized by Vardhaman College of Engineering Hyderabad, India held from December 16-17, 2022
  • Won one travel grant from HEC to present paper at Singapore for year 2014
  • Distinctions in PhD Course work
  • Awardee of Six-month PhD scholar under HEC IRSIP at Lancaster University, UK (Dec.2014-June 2015)
  • Selected for 03 months Pre-Post PhD Program Aug. -Oct. 2023 by Institute of Advanced Materials (IAAM), Sweden after pitch talk presentation.
  • Selected for Commonwealth Scholarship tenable in UK during 2013
  • Selected for MS program by Maharishi International University (MIU) Sciences in 2008
  • Selected for MS program with 70% tuition fee waiver from UK
  • Selected for Mexican Government Scholarship in 2011 for PhD Program
  • Worked as Research Assistant for Six months with Nonlinear and Biomedical Physics Research Group, Department of Physics, Lancaster University, UK from December 18, 2014 to June 16, 2015.
  • Two months visiting Researcher at Stony Brook University, NY, USA from January 14, 2020 to March 3rd, 2020
  • Research Collaboration with Stony Brook University, USA since January 14, 2020 to date
  • Gold Medalist in MS (CS) 2012 from Iqra University, Islamabad
  • Among top 4 students in MCS class in 2005
  • Admitted in MCS at merit # 1
  • 3rd Position in B.Sc. at University of Azad Jammu & Kashmir, in 2002 at the state of Azad Jammu & Kashmir.
  • First class/division in entire academic career
  • Machine Learning Certificate by Stanford University on Coursera
  • Reviewed Computer science for beginner’s 6th and 10th grade, AJK Text Board, Muzaffarabad, Pakistan as Chairman review committee
  • Paper published in Journal of Physiological Anthropology among top three most highly accessed.
  • Participated/ made international seminars in UK, USA.
  • Acted as a Keynote Speaker in PISA Cyber secure AJK conference 2018.
  • Completed one-month TOEFL iBT training course organized by Princeton Review.
  • Completed one-month course on PCEPT organized by HEC.
  • Served QEC in organizing/ conducting many workshops/ meetings for more than 11 years.
  • Presented Four papers in different conferences in USA under HEC travel grant program.
  • Principal/ First author in more than 18 Impact factor papers
  • Won Five small project of Ignite ICT FY projects
  • Worked as Co-PI in Four international projects of Saudi Arabia
  • Made research collaboration with International Universities USA, South Korea, Saudi Arabia, and local Universities COMSATS Lahore, University of Poonch Rawalakot, QAU, Hazara University Mansehra and MUST Mirpur
  • Presented ICT FY project as Supervisor in Ignite Annual meeting 2019
  • Represented AJK University in various quarterly meetings of HEC on Quality Assurance
  • Acted as a Resource person in various trainings/ seminars/ workshops on QA, Plagiarism Hands on Trainings, Mendeley Desktop referencing, Writing Quality Research Papers
  • Reviewed more than 100 impact factor Journal papers as reviewer.

 

My research centers on Quantitative Medical Imaging and AI for Precision Health, leveraging MRI with advanced AI/ML/DL. I aim for early disease identification, accurate diagnosis, and robust prediction of progression across various conditions like epilepsy and cancers. Specializing in medical image computing, data analytics, feature engineering, and advanced machine/deep learning (including Bayesian Inference), my work has significant translational impact, enhancing diagnostics, prognostics, and public health.

Recognized among the top 2% of global scientists by Elsevier (2021-2024) in AI (ranked 4,582), I boast a distinguished academic record, including an MS (CS) Gold Medal. I've earned multiple international travel grants to present research across the USA, Singapore, and KSA, and received a best paper award. My international experience encompasses visiting researcher roles at Lancaster and Stony Brook Universities, alongside extensive collaborations and AI for healthcare project leadership. I am deeply passionate about mentorship and high-quality research

Research Details
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