Logo FreelancerComment cela fonctionneParcourir les emplois Se connecter S'inscrire Publier un projet
EXPLORER
Image Processing Machine Learning (ML)
Profile cover photoundefined
Vous suivez désormais .
Erreur de suivi de l'utilisateur.
Cet utilisateur n'utilise pas les utilisateurs à le suivre.
Vous suivez déjà cet utilisateur.
Votre plan d'adhésion ne permet que 0 suivis. Améliorez ici.
L'utilisateur n'est désormais plus suivi.
Erreur lors de l'arrêt du suivi de l'utilisateur.
Vous avez désormais recommandé
Erreur lors de la recommendation de l'utilisateur.
Une erreur a eu lieu. Veuillez rafraîchir la page et réessayer.
E-mail désormais vérifié.
Avatar de l'utilisateur
$30 USD / heure
Drapeau de PAKISTAN
islamabad, pakistan
$30 USD / heure
Il est actuellement 11:29 AM ici
Membre depuis le septembre 28, 2022
0 Recommandations

Dr. Saddam Hussain

@saddamhussain18

0,0 (0 commentaires)
0,0
0,0
$30 USD / heure
Drapeau de PAKISTAN
islamabad, pakistan
$30 USD / heure
N/A
Travaux complétés
N/A
Suivant le budget
N/A
Dans les temps
N/A
Taux de réembauche

Machine Learning, Deep Learning, Image Processing

Expert in Artificial Intelligence, Machine Learning, Deep Learning, Biomedical Data Analysis, Medical Diagnostic systems, Machine Learning in Cyber Security, Reinforcement Learning, Intrusion Detection, and Malware Analysis, Computer Vision, and Image and Signal Processing.
Freelancer Machine Learning Experts Pakistan

Contactez Dr. Saddam Hussain concernant votre emploi

Connectez-vous pour discuter des détails via la messagerie.

Éléments du portfolio

COVID-19 Detection and Analysis From Lung CT Images using No

Commentaires

Modifications enregistrées
Aucun commentaire d'utilisateur
Aucun commentaire visible ici !

Expérience

Assistant Professor

University of Engineering and Applied Sciences
févr. 2022 - Jusqu'à présent
• Co-Supervised Ph.D Thesis “Stock Price Prediction using Deep CNN”, Raizudin (DCSE, UET Peshawar, 2022). • Co-Supervised Ph.D Thesis “Human Activity Recognition using Deep Learning”, Wasiullah (HITECH, Taxila, 2022). • Courses Taught: Deep Neural Network, Machine Learning, Computer Fundamental 1 & 2, Digital Image Processing, Digital Signal Processing, Computer Organization and Assembly Language, Algorithm Analysis, Computer Architecture, Microcontroller,

Senior Researcher

Government Organization
juin 2018 - févr. 2022 (3 ans, 8 mois)
• Co-Supervised M.S Thesis “Autonomous Drone Navigation using Deep Convolutional Neural Network”, Muhammad Arif (DCIS, PIEAS, 2019-2021). • Co-Supervising M.S Thesis “COVID-19 Diagnostic System using deep Learning”, Memona (DCIS, PIEAS, 2020-2022). • Co-Supervised B.S Thesis: “COVID-19 Detection System using X-ray Images and deep Learning”, Zoha & Salma (DCIS, PIEAS, 2017-2021).

Software Engineer

Government Organization
févr. 2017 - juin 2018 (1 an, 4 mois)
• Malware Analysis and Intrusion Detection using Deep Learning • Cyber Security in Machine Learning • Signal Encryption and Identification using Machine Learning. • Testbed Programing • Encrypted Traffic Classification, Tunnel Segregation using Machine Learning.

Éducation

PhD Artificial Intelligence and Deep Learning

University of Engineering and Technology, Taxila, Pakistan 2018 - 2022
(4 ans)

Qualifications

Image Processing

DeepLearningAI
2017
Computer Vision, Image and Signal Processing.

Deep Learning in Cyber Security

Hawaii
2020
Machine Learning in Cyber Security, Reinforcement Learning, Intrusion Detection, and Malware Analysis,

Deep Learning

Microsoft Research
2020
Artificial Intelligence, Machine Learning, Deep Learning,

Publications

Ransomware detection using deep learning based unsupervised feature extraction and a cost sensitive

Scientific Reports
Ume Zahoora, Umme, Asifullah Khan, Muttukrishnan Rajarajan, Saddam Hussain Khan, Muhammad Asam, and Tauseef Jamal. (2022) "Ransomware detection using deep learning based unsupervised feature extraction and a cost sensitive Pareto Ensemble classifier." Scientific Reports 12, no. 1: 1-15.(IF =5, Category W)

Segmentation of Shoulder Muscle MRI Using a New Region and Edge based Deep Auto-Encoder

arXiv
Saddam Hussain Khan, et al. (2021), “Segmentation of Shoulder Muscle MRI Using a New Region and Edge based Deep Auto-Encoder”, arXiv preprint arXiv: 2108.11720, Under Revision in Multimedia Tools and Applications Journal. (IF=2.9, Category W)

A Survey of the deep CNN based Techniques for COVID-19 Detection in Radiographic Images

Scientific Report
Asifullah Khan, Saddam Hussain Khan, et.al. (2021). "A Survey of the deep CNN based Techniques for COVID-19 Detection in Radiographic Images”, submitted in Scientific Report Journal (IF=5.1, Category W).

COVID-19 Detection and Analysis From Lung CT Images using Novel Channel Boosted CNNs

arXiv
11. Saddam Hussain Khan, et al. (2022). “COVID-19 Detection and Analysis From Lung CT Images using Novel Channel Boosted CNNs”, arXiv preprint arXiv: 2209.10963, Under Review in Scientific Report. (IF=5, Category W)

Detection of Exceptional Malware Variants Using Deep Boosted Feature Spaces and Machine Learning

Applied Sciences
M Asam, Muhammad, Shaik Javeed Hussain, Mohammed Mohatram, Saddam Hussain Khan, Tauseef Jamal, Amad Zafar, Asifullah Khan, Muhammad Umair Ali, and Umme Zahoora. "Detection of Exceptional Malware Variants Using Deep Boosted Feature Spaces and Machine Learning." Applied Sciences 11, no. 21 (2021):(IF=2.80, Category W)).

Detection of Lymphocytes in Histopathological Images using a Two-Phase Deep CNN

Photodiagnosis and Photodynamic Therapy
Muhammad Mohsin Zafar, Zunaira Rauf, Anabia Sohail, Abdul Rehman Khan, Muhammad Obaidullah, Saddam Hussain Khan, Yeon Soo Lee, (2021), “Detection of Lymphocytes in Histopathological Images using a Two-Phase Deep CNN”, Photodiagnosis and Photodynamic Therapy, 35, p.102473 (IF=3.7, Category X)

A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI.

Sensors
Zahoor, Mirza Mumtaz, Shahzad Ahmad Qureshi, Sameena Bibi, Saddam Hussain Khan, Asifullah Khan, Usman Ghafoor, and Muhammad Raheel Bhutta. "A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI." Sensors 22, no. 7 (2022): 2726 (IF=3.9, Category W)

Drone Navigation using Region and Edge Exploitation based Deep CNN

IEEE Access
Muhammad Arif, Saddam Hussain Khan, et al. (2022), “Drone Navigation using Region and Edge Exploitation based Deep CNN”, Published in IEEE Access. (IF=3.7, Category W)

Autonomous Drone Swarm Navigation and Multi-target Tracking with Island Policy-based Optimization

IEEE Access
Suliman Qamar, Saddam Hussain Khan, et al. (2022), “Autonomous Drone Swarm Navigation and Multi-target Tracking with Island Policy-based Optimization Framework”, Published in IEEE Access (IF=3.6, Category W).

IoT malware detection architecture using a novel channel boosted and squeezed CNN

Scientific Reports
Asam, Muhammad, Saddam Hussain Khan, Altaf Akbar, Sameena Bibi, Tauseef Jamal, Asifullah Khan, Usman Ghafoor, and Muhammad Raheel Bhutta. (2022) "IoT malware detection architecture using a novel channel boosted and squeezed CNN." Scientific Reports 12, no. 1: 1-12. .(IF =5, Category W)

Malaria Parasite Classification Framework using a Novel Channel Squeezed and Boosted CNN

Microscopy
Saddam Hussain Khan, Najmus Saher Shah, Rabia Nuzhat, Abdul Majid, Hani Alquhayz, and Asifullah Khan (2022). "Malaria Parasite Classification Framework using a Novel Channel Squeezed and Boosted CNN." Microscopy (IF=2.1, Category X)

COVID-19 Detection in Chest X-Ray Images using a New Channel Boosted CNN

diagnostics
Saddam Hussain Khan, et al. (2022), "COVID-19 Detection in Chest X-Ray Images using a New Channel Boosted CNN." Published in “Diagnostics” 2022, 12(2), 267 (2022) doi.org/10.3390/diagnostics12020267 (IF=4, Category W)

Coronavirus disease analysis using chest X-ray images and a novel deep convolutional neural network

Photodiagnosis and Photodynamic Therapy
Saddam Hussain Khan, et al. (2021). "Coronavirus disease analysis using chest X-ray images and a novel deep convolutional neural network. Published in " Photodiagnosis and Photodynamic Therapy 35: 102473 (IF=3.7, Category X).

COVID-19 Detection in Chest X-ray Images using Deep Boosted Hybrid Learning

Computers in Biology and Medicine
Saddam Hussain Khan, et.al. (2021). "COVID-19 Detection in Chest X-ray Images using Deep Boosted Hybrid Learning." Published in “Computers in Biology and Medicine”: 137: 104816. (IF=6.7, Category W)

Contactez Dr. Saddam Hussain concernant votre emploi

Connectez-vous pour discuter des détails via la messagerie.

Vérifications

Freelance préféré
Identité vérifiée
Paiement vérifié
Téléphone vérifié
E-mail vérifié
Connecté à Facebook

Meilleures compétences

Machine Learning (ML) Image Processing

Parcourir les freelances similaires

Machine Learning Experts in Pakistan
Machine Learning Experts
Image Processors

Parcourir les présentations similaires

Machine Learning (ML)
Image Processing
Utilisateur précédent
Utilisateur suivant
Invitation désormais envoyée !
Utilisateurs enregistrés Total des travaux publiés
Freelancer ® is a registered Trademark of Freelancer Technology Pty Limited (ACN 142 189 759)
Copyright © 2023 Freelancer Technology Pty Limited (ACN 142 189 759)
Chargement de l'aperçu
Permission donnée pour la géolocalisation.
Votre session de connexion a expiré et vous avez été déconnecté. Veuillez vous connecter à nouveau.