Topics

Speech Processing

Speech Processing

Speech processing is the study of speech signals and the processing methods of signals. The signals are usually processed in a digital representation, so speech processing can be regarded as a special case of digital signal processing, applied to speech signals.

Natural Language Processing

Natural Language Processing

Natural language processing is a subfield of linguistics, computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human languages.

Computer Vision and Image Processing

Computer Vision and Image Processing

computer vision is related to “Image Understanding” and it can use machine learning as well. In Image processing, image is taken as an input and a processed image come as an output but in computer vision image is taken as input and we get information as the output about the image.

Machine learning

Machine learning

Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.

Deep learning

Deep learning

Deep learning is a class of machine learning algorithms that uses multiple layers to progressively extract higher level features from the raw input. For example, in image processing, lower layers may identify edges, while higher layers may identify the concepts relevant to a human such as digits or letters or faces.

Internet of things

Internet of Things

The Internet of Things is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.

Amirkabir Artificial Intelligence Summit 2019

December 4-5
Amirkabir University of Technology

Invited Speakers

Maryam Abdolali

Maryam Abdolali

Postdoc Researcher, Université de Mons
Ahmad Asadi

Ahmad Asadi

PhD candidate, Amirkabir University of Technology
Bahador Bakhshi

Bahador Bakhshi

Assistant Professor, Amirkabir University of Technology
Mohammad Mahdi Homayounpour

Mohammad Mahdi Homayounpour

Profesor, Amirkabir University of Technology
Jahanshah Kabudian

Jahanshah Kabudian

Assistant Professor, Razi University
Mohammad Ali Keyvanrad

Mohammad Ali Keyvanrad

Assistant Professor, Malek-Ashtar University of Technology
Mohammad Khalooei

Mohammad Khalooei

PhD Candidate, Amirkabir University of Technology
Naser Mozayani

Naser Mozayani

Associate Professor, Iran University of Science & Technology
Saeedeh Momtazi

Saeedeh Momtazi

Assistant Professor, Amirkabir University of Technology
Abbas Nasiraei moghaddam

Abbas Nasiraei moghaddam

Assistant Professor, Amirkabir University of Technology
Ehsan Nazerfard

Ehsan Nazerfard

Assistant Professor, Amirkabir University of Technology
Mahmood Neshati

Mahmood Neshati

Assistant Professor, Shahid Beheshti University
Ashkan Panahi

Ashkan Panahi

Assistant Professor, Chalmers university of technology
Mohammad Taher Pilehvar

Mohammad Taher Pilehvar

Assistant Professor, Iran University of Science & Technology
Mohammad Sabokrou

Mohammad Sabokrou

Postdoc Researcher, IPM
Hossein Sameti

Hossein Sameti

Associate profesor, Sharif University of technology
Mohsen Soryani

Mohsen Soryani

Associate professor, Iran University of Science & Technology

Amirkabir Artificial Intelligence Summit 2019

December 4-5
Amirkabir University of Technology

Schedule

# Title Lecturer Hall Timing
Day 1: (Wednesday- December 4 / Azar 13)
1 An overview of Automatic Speaker Recognition and Its new approaches Dr. Mohammad Mahdi Homayounpour B 8:30-9:30
Inauguration A 9:30-10:30
2 A Review of Speech Improvement Methods and Its new Approaches Dr. Jahanshah Kabudian B 10:30-11:30
3 New Approaches to Automatic Speech Recognition Dr. Hossein Sameti B 11:30-12:30
Break
4 Advanced topics in computer vision tasks Dr. Mohsen Soryani A 13:30-14:30
From Word to Contextualised Embeddings Dr. Mohammad Taher Pilevar B
5 Analysis and processing of Medical Images using data-driven approaches Dr. Abbas Nasiraei Moghaddam A 14:30-15:30
Recommender system: The impact of neural text processing in product suggestion Dr. Saeedeh Momtazi B
6 Low rank representation Dr. Maryam Abdolali A 15:30-16:30
Recent Techniques in Expert Finding Dr. Mahmood Neshati B
Day 2 : (Thursday- December 5/ Azar 14)
7 Unsupervised Representation Learning Dr. Mohammad Sabokrou B 9-10
8 Large-Scale Regularized Least Squares: A Universal and Statistical Analysis Dr. Ashkan Panahi B (Skype) 10-11
9 The Encoder-Decoder Framework and Its Applications Ahmad Asadi B 11-12
Break
10 Deep Neural Networks, hype or fact? Dr. Naser Mozayeni B 13-14
11 Requirements, Architecture and applications of IOT Dr. Bahador Bakhshi A 14-15
Deep Reinforcement Learning: when machines are self-taught Dr. Mohammad Ali Keyvanrad B
12 IoT based smart homes Dr. Ehsan Nazerfard A 15-16
Adversarial Machine learning Mohammad Khalooei B
Closing 16-17:30

Registeration

Amirkabir AI summit 2019's location

Tel:  (+98) 21 64542700