5-Day Training on Deep Learning for Document Analysis and Recognition

Deep Learning has been the forefront for document analysis and recognition (DAR) and has acquired immense research attention in recent years. DAR has found wide-ranging interesting applications in both commercial and research-driven systems through the core areas like page segmentation, skew detection, text-orientation detection, word segmentation, and pattern matching. To provide the participants with different aspects and in-depth analysis of the latest research being carried out in the field of document understanding, a five-day workshop has been arranged by Deep Learning Lab, NCAI and SEECS. The 5-Day workshop will deliver high-quality content and impart hands-on training for the state-of-the-art research in the field of document understanding and analysis using LSTMs and OCR. Become a part of this exciting workshop and learn about the interesting applications of Document Analysis and Recognition using Deep Learning through enlightening lectures and training classes.

The workshop will give a knowledge boost around following points:

• Introduction to Document Understanding using Machine Learning
• Implementation algorithms for Document Analysis (LSTMs) 
• Basic understanding of using LSTMs in Document Analysis and Recognition
• Optimization of the Document Analysis and Recognition algorithms

After attending the workshop, you will be able to:

1. Have a thorough understanding of Document Analysis and Recognition
2. Identify the key challenges related to Document Analysis and Recognition
3. Identify the key application areas of Document Analysis and Recognition

Dr. Muhammad Imran Malik completed his PhD from University of Technology, Kaiserslautern, Germany in Machine Learning. He has been serving at the School of Electrical Engineering and Computer Science (SEECS), National University of Sciences & Technology (NUST), as Assistant Professor. He is also a Co-Principal Investigator of the recently established Deep Learning Laboratory (DLL) under the umbrella of National Center of Artificial Intelligence (NCAI), Islamabad.  

Dr. Adnan Ul-Hasan did his PhD in computer science from the University of Kaiserslautern, Germany. He has 9+ experience in developing text recognition algorithms. During this time, he has contributed to several projects, including digitizing 15th century Latin documents, Urdu Nastaleeq script recognition in both printed as well as handwritten forms, Postal address automation, etc. His research has been published in A* ranked conferences (ICDAR, ICPR, etc.). He is a passionate researcher and loves to talk about his research interests that include machine learning, text recognition,  computer vision and deep learning. He possesses an MS degree in Control Systems Engineering from PIEAS, Islamabad and BS in Electrical Engineering from UET Taxila, Pakistan.

Prof. Dr. Faisal Shafait is working as Professor in the School of Electrical Engineering and Computer Science (SEECS) at the National University of Sciences and Technology (NUST), Islamabad, Pakistan. He is also an Adjunct Professor at The University of Western Australia, Perth, Australia. His research interests include machine learning and computer vision with a special emphasis on applications in document image analysis and recognition. He is the director of Deep Learning Lab (DLL) at National Center of Artificial Intelligence (NCAI), NUST, Islamabad, Pakistan. He has received the IAPR/ICDAR Young Investigator Award by the International Association of Pattern Recognition (IAPR) in 2019 and have recently been included in the list of the World’s Top 2% Scientists compiled by Stanford University.

After payment kindly provide the proof on the following google form for confirming registration https://forms.gle/jUiXhJN2VsrdUTH7A

After registration, a confirmation email will be sent to you containing information about joining the workshop online.

For any queries, feel free to email on ai@seecs.edu.pk