Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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Asad Ali Safi


  • Ph.D. Major: Machine Learning, Medical Imaging (Distinction) Technical University of Munich, Germany


  • Teaching and development in the topics: Machine Learning, Medical Imaging, Expert Systems, Artificial Intelligence, Digital Image Processing and Computer Vision


  • Scientific Program Chair and Peer reviewer of ISICS-Symposium
  • Team member that wrote PC-1 (PRs. 1 billion) for National Center for AI
  • Frontiers of Information Technology Conference Peer reviewer/Session chair
  • Team member that is designing the MS Data Science Program
  • CS Department management committee Director
  • ABET Committee Director for the Library
  • Supervisor of PhD, MS and BSC student projects


  • Creativity in Research, Munich, Germany
  • Business and Administration for Scientists as Management, Munich, Germany
  • Upward Management, Herrsching, Germany
  • German Language certification, Lahore, Pakistan + Munich, Germany
  • CISCO Networking System Certification


  • 2008 - 2012 DAAD Scholarship Award for Ph.D. at TUM Germany
  • MIAR, 2010 Travel Grant Award by Glaxosmithkline, Beijing, China
  • SPIE, 2010 Travel Grant Award by Glaxosmithkline, California, USA
  • WSEAS, 2006 Travel Grant Award by HEC, Hangzhou, China
  • April, 2007 Resource Person at Computer Networking and Communication from Ministry of Higher Education Commission (HEC), Pakistan


  • Swimming, Gardening, Cooking, Chess Playing, and Badminton


  • English (Excellent), German (Fair), Spanish (Basic)


  • December, 2017 Vehicle Remote Health Monitoring and Prognostic Maintenance System, published at Journal of Advanced Transportation Hindawi
  • December, 2017 A Cascaded Approach of Handcrafted Features Based Technique and Convolutional Neural Network for Brain Tumor Segmentation IEEE ACCESS Journal
  • September, 2017 Computationally Efficient Deep Learning Technique for Brain Tumor Segmentation Computational-Intelligence-Neuroscience
  • June, 2017 A Comprehensive Analysis of MRI Based Brain Tumor Segmentation using Conventional and Deep Learning Methods in review at International Journal of Biomedical Imaging
  • March, 2017 Ischemic Stroke Lesion Segmentation in MR Sequences using Deep Learning In review at SPIE Journal of Medical Imaging
  • February, 2017 Computer-Aided Diagnosis (CAD) of Parkinson Disease From Brain MRI using Convolutional Neural Network(CNN) accepted at Journals Future Generation Computer Systems
  • January, 2017 A Multivariate Normal Distribution Based Technique for Customer Churn Prediction in Telecommunication Sector accepted at Journal of Electronic Commerce Research and Applications
  • December, 2016 Pedestrian Detection using HOG, LUV, and Optical Flow as Features with Ada-Boost as Classifier. International Conference on Image Processing Theory, Tools and Applications (IPTA'16) Finland
  • October, 2016 Feasibility Study of Optical Spectroscopy as a Medical Tool for Diagnosis of Skin Lesions. International Journal of Advanced Computer Science (IJACSA)
  • May, 2016 Detection and Counting of On-Tree Citrus Fruit for Crop Yield Estimation International Journal of Advanced Computer Science and Applications (IJACSA)
  • March, 2016 Online Breast Cancer Diagnosis System, International Symposium on Intelligent Computing Systems
  • December, 2015 Driver Fatigue Detection Using Viola Jones and Principal Component Analysis. Journal IEICE Transactions on Information and Systems
  • September, 2014 Intelligent Pedestrian Detection using Optical Flow and HOG Journal IEICE Transactions on Information and Systems
  • September, 2011 Computer-Aided Diagnosis of Pigmented Skin Dermoscopic Images MCBR-CDS 2011, Toronto, Canada
  • February, 2011 Manifold Learning for Dimensionality Reduction and Clustering of Skin Spectroscopy Data. SPIE Medical Imaging, Orlando, Florida, USA
  • September, 2010 Skin Lesions Classification with Optical Spectroscopy Medical Imaging and Augmented Reality (MIAR-2010). Beijing, China
  • February, 2010 Navigated Tracking of Skin Lesion Progression with Optical Spectroscopy SPIE Medical Imaging. San Diego, California, USA
  • July, 2009 Skin lesion classification using PCA and SVM. 5th Russian Bavarian Conference on Bio-Medical Engineering. München, Germany
  • January, 2007 CU Online: A step towards imparting quality education through ICTs 2nd International Conference on Integration of IT. Famagusta, North Cyprus
  • April, 2006 Vehicles License Plate Detection and Recognition System using Image 5th WSEAS International Conference. Hangzhou, China
  • June, 2005 Dynamic Load Balancing in PVM using Intelligent Application 4th World Enformatika Conference. Istanbul, Turkey


  • Scientific Program Chairs and Scientific Program Committee member of International Symposium on Intelligent Computing Systems - ISICS

  • March 2010 Tutorial workshop for Medical imaging, München, Germnay

Title: Dr.
Circumference of your head (in cm):  
Firstname: Asad
Middlename: Ali
Lastname: Safi
Picture: profileimage.1JPG.JPG
Birthday: 30/12/1979
Nationality: Blank
Languages: English, German, Spanish
Groups: Segmentation, Medical Imaging, IFL
Position: Scientific Staff
Status: Alumni
Emailbefore: asad.safi
Telephone: +971506945755
Defensedate: 23 June 2012
Thesistitle: Towards Computer-Aided Diagnosis of Pigmented Skin Lesions

Edit | Attach | Refresh | Diffs | More | Revision r1.43 - 13 Nov 2020 - 08:33 - AsadSafi

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