{"id":1324,"date":"2022-05-19T15:59:09","date_gmt":"2022-05-19T15:59:09","guid":{"rendered":"http:\/\/dev.technology-architects.com\/bahria_web\/?p=1324"},"modified":"2024-12-03T05:45:07","modified_gmt":"2024-12-03T05:45:07","slug":"sumaira-kausar","status":"publish","type":"post","link":"https:\/\/coeai.bahria.edu.pk\/index.php\/sumaira-kausar\/","title":{"rendered":"Dr. Sumaira Kausar"},"content":{"rendered":"\t\t
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Dr. Sumaira Kausar<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Director CoE-AI^%<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Designation(s):  Professor, Director CoE-AI <\/strong>
Department(s): Computer Science, AI Applied Technologies Research Center<\/strong>
Research Interests: Machine learning, <\/strong>Pattern recognition, <\/strong>Image analysis, <\/strong>Artificial intelligence<\/strong>
Email: sumairakausar.buic@bahria.edu.pk<\/strong>
Contact: +92 (051) 111 111 028<\/strong><\/p>\n

Dr. Sumaira Kausar is currently working as a Professor in the Department of computer science, Bahria University, Islamabad. She received her Ph.D. and MS degree from NUST, Pakistan. \u202fHer research interests include machine learning, computer vision and immersive imaging. She has more than ten years of teaching and research experience.<\/span><\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Projects <\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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  • Virtual reality exposure therapy for psychological and anxiety disorders f<\/span>unded by IGNITE national technology fund<\/span><\/li>
  • English Text to ASL Images Generator<\/span><\/li>
  • Remote Sensing Image Analysis<\/span>\u00a0<\/span><\/li>
  • Detection and classification of Malware\u00a0<\/span>\u00a0<\/span><\/li>
  • Medical Image Analysis – This project aims at performing an analysis of medical images for the diagnosis of diseases in different organs. Data used for this project comprises images of the brain, lungs, hollow organs and vertebra. The project is aimed at the automated analysis of these medical images for the diagnosis of different diseases.<\/span>\u00a0<\/span><\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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    Student Supervision <\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    • Amir Ali <\/span><\/span><\/strong>Neuro<\/span>-educational Assessment and Assistance for Early Age Dyslexia Using Intelligent Techniques<\/span><\/span>\u00a0<\/span><\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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      • Anza Tehreem Abbasi, <\/span><\/b>Low Illumination Object Detection Using Deep Learning Techniques\u00a0<\/span>\u00a0<\/span><\/li>
      • Saima Safdar,<\/span><\/b> Classification of Children with Specific Language Impairment using Audio Data<\/span><\/li>
      • Adnan Younus, <\/span><\/b>Classification of Autism Spectrum Disorder Using Multi-Modal Data\u00a0<\/span>\u00a0<\/span><\/li>
      • Ammara Minhas,<\/span><\/b> Classification and Subgroup Analysis of Dyslexic Individuals<\/span>\u00a0<\/span><\/li>
      • Abdul Majid, <\/span><\/b>A Fast Panoptic Segmentation Network for Self Driving Scene Understanding<\/span>\u00a0<\/span><\/li>
      • Basit Malik, <\/span><\/b>View Independent Gait Recognition<\/span>\u00a0<\/span><\/li>
      • Waleed Hassan, <\/span><\/b>Damaged Building Detection And Damage Assessment From Satellite Images<\/span><\/li>
      • Anum Hassan, <\/span><\/b>Visual Malware Detection for Variable Sized Malware Images<\/span>\u00a0<\/span><\/b>\u00a0<\/span><\/li>
      • Tuba Khalid <\/span><\/b>Recognition of Surgically Altered Face Image<\/span>\u00a0<\/span><\/li>
      • Amir Fayyaz, <\/span><\/b>3D Image Generation<\/span>\u00a0<\/span><\/li>
      • Nazish Saeed <\/span><\/b>Realistic Face Image Generation from Facial Outline Sketches<\/span><\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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        Publications<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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        Journal Publications<\/span><\/div>