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International Symposium on Artificial Intelligence and Machine Learning
1 Day
9am to 5pm
Rs. 6000 (For Students: Rs. 4000)
Are you ready for the AI revolution? How will machine learning impact your business, research and career? Hear from academics researchers who are at the fore-front of AI and Machine Learning in Europe and Pakistan. What are the most important concepts in AI and Machine Learning today? Come and attend in-depth talks on: Deep learning, 3D Object Tracking, Automatic handwriting recognition, Speech recognition, Computer Vision and Biomedical Applications of Machine Learning. This symposium is the first in a series of upcoming workshops in Machine Learning and AI. The objective of this workshop is to provide participants a high-level overview of the basics of Machine Learning and introduce them to a number of cutting edge applications.

Learning Outcomes:

This workshop is designed to provide you an introduction to the following topics

  • Basics of Machine Learning.
  • Current Trends in Machine Learning and AI.
  • 3D Object Tracking.
  • Automatic Handwriting Recognition.
  • Multi-modal Photo-graphics Retrieval.
  • Automatic Speech Recognition (Basics, Hidden Markov Models and Deep Neural Networks)
  • Open source toolkits for Machine Learning and Speech Recognition
  • Medical Imaging Applications of Machine Learning (Opportunities & Challenges)

Key Benefits:

After participating in this symposium, you will be able to:

  • Develop an understanding of the fast-changing landscape of Machine Learning – key breakthroughs, useful Machine Learning tools for business and research applications.
  • Get an overview of a number of cutting edge applications of AI.
  • Get pointers to the best online educational resources for Machine Learning.
  • Get advice on the best data repositories for training Machine Learning algorithms.
  • Develop a strategy on how to prepare yourself for a career in Machine Learning.


  • Dr. Faisal Shafait (Associate Professor, NUST SEECS)
  • Dr. Hassan Aqeel Khan (Assistant Professor, NUST SEECS)
  • Dr. Muhammad Ali Tahir (Assistant Professor, NUST SEECS)

Trainer Profiles:


Dr. Ulrich Schwanecke studied Mathematics and Computer Science at the Johannes Gutenberg University Mainz, where he graduated as a Diplom-Mathematiker in 1997. From 1997 to 2000 he was a research assistant at the Center of Applied Mathematics at the University of Technology in Darmstadt, where he gained a PhD in 2000. From 2000 to 2001 he worked as a postdoctoral research assistant at the Max-Planck-Institute for Computer Science in Saarbrücken. From 2001 to 2003 he worked as a research assistant at the Research and Technology Center of DaimlerChrysler in Ulm. Since 2003 he is a professor for Computer Science in Media at the RheinMain University of Applied Sciences Wiesbaden Rüsselsheim Geisenheim. His research interests include Computer Aided Geometric Design, Computer Graphics, Digital Image Processing and Computer Vision. 

Dr. Adrian Ulges graduated from TU Kaiserslautern (2009 PhD in computer science, 2005 diploma in computer science) and has been as a researcher with the German Research Center for Artificial Intelligence (DFKI) in Kaiserslautern / Germany (2005-2011). His research interests are in maschine learning, computer vision, and multimedia analysis. He worked with Google as an intern (2005, Mountain View) and as a visiting scientist (2011, Zurich). Since 2013, he is been a full professor at RheinMain University of Applied Sciences (HSRM), with interests in applied mathematics and machine learning. Adrian's research has been awarded with a Google Research Award in 2010, and his publication record includes over 30 peer-reviewed papers. 

Dr. Faisal Shafait completed his PhD from the University of Kaiserslautern, Germany in 2008 and his work has been published in top machine learning conferences and journals such as the IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and the IEEE’s Conference on Computer Vision and Pattern Recognition (CVPR). Faisal served as a member of the leadership board of the International Association of Pattern Recognition (IAPR) from 2013 – 2016. He also periodically serves on the program committees of international computer vision and document analysis conferences.

Dr. Hassan Aqeel Khan completed his PhD in Electrical Engineering from Michigan State University, USA in 2016. During his PhD he worked on a number of NSF and NIH funded projects within the domain of Biomedical applications of Machine Learning. During his PhD he collaborated with industry giants such as GE Healthcare. He is currently the Director of the Sigma Research Lab at NUST SEECS whose focus is Medical Imaging and networking applications of Machine Learning.

Dr. Muhammad Ali Tahir has completed his Ph.D. in Automatic speech recognition from RWTH Aachen University. During his 11 year stay in Germany he has worked on different EU-funded projects related to speech recognition, primarily aiming to bridge the language divide in a multilingual Europe. During his time at NUST he has been collaborating with local industry to create Urdu voice based solutions for conversational agents and vehicle navigation.

Who Should Attend?

  • Industry professionals
  • Graduate and Undergraduate students
  • Business leaders
  • Academics looking for inter-disciplinary research opportunities
Discount Policy
  • Registration Fee = PKR 6,000/-
  • Students = PKR 4,000/-
Who Should Attend
​Student or Industry Professionals
Workshop Dates 
​9th October 2017
Registration Start Date 
Registration End Date 
  1. Dr. Ulrich Schwanecke (Professor, RheinMain University of Applied Sciences, Germany)
  2. Dr. Adrian Ulges (Professor, RheinMain University of Applied Sciences, Germany)
  3. Dr. Marcus Liwicki  (University of Fribourg, Switzerland)
  4. Dr. Faisal Shafait (Associate Professor, NUST SEECS)
  5. Dr. Hassan Aqeel Khan (Assistant Professor, NUST SEECS)
  6. Dr. Muhammad Ali Tahir (Assistant Professor, NUST SEECS)
  7. Dr. Faisal Rashid (Assistant Professor, University of Engineering & Technology Lahore)