Learning and Intelligent Systems (LIS)

Visit Our Open Source Projects

Matin Hashemi

Matin Hashemi

Assistant Professor

http://sharif.edu/~matin/
Office: 119W West EE Bldg.
Phone: +98 (21) 66164307

Machine Learning
Big Data
Parallel and Distributed Computing
Embedded Systems

Saber Salehkaleybar

Saber Salehkaleybar

Assistant Professor

http://sina.sharif.edu/~saleh/
Office: 706 East EE Bldg.
Phone: +98 (21) 66164394

Machine Learning
Distributed Systems
Graphical Models
Causality

Prospective Students

While every project has its unique aspects, in general our projects involve topics in one or both of the following two areas:
- CS & Math: Machine Learning, Big Data, Parallel and Distributed Algorithms, Graphical Models, Signal Processing
- Hardware: GPU, Cluster, Embedded Systems
The following practical skills are often helpful in many of our projects: C/C++, CUDA, OpenCL, Python, TensorFlow, PyTorch, Spark, Java, Android, Linux

Graduate Students

Amir Ahangarzadeh

Deep Learning

Mahmoud Kiani

Computer Vision

Amirhossein Shahbazinia

GPGPU Acceleration for Graphical Model Learning

Iman Johary

Computer Vision

Sepehr Dehdashtian

Deep Learning for DSP Applications

Soheil Shahrooz

Big Graph Acceleration on GPGPU and FPGA

Amir Amirinezhad

Deep Reinforcement Learning for Graph Processing

Raoof Sayedtabatabaee

Deep Learning

Ali Jafarzadeh

Signal Processing Acceleration on GPGPU

Mahdi Bozorg

Machine Learning and Big Data Algorithms

Next Position: Product Manager, Hadid Group

Hossein Taji

Machine Learning Acceleration on FPGA

Next Position: PhD, EE, EPFL

Behrooz Zarebavani

GPGPU Acceleration for Graphical Model Learning

Next Position: PhD, CS, U. of Toronto

Hamidreza Bandeali

Machine Learning

Alireza Mohammadidoost

Signal Processing Acceleration on GPGPU

Alireza Amirshahi

Spiking Neural Networks

Next Position: PhD, EE, EPFL

Payam Arasteh

Machine Learning in Graph Applications

Next Position: Balad Group, Cafebazar Co.

Saeed Saadatnejad

Deep Learning for Biomedical Signal Processing

Next Position: PhD, CS, EPFL

Mohammad Afshar

Deep Learning Acceleration on Android and Embedded Systems

Next Position: FanASA Co.

Mohammadhossein Oveisi

Deep Learning for Biomedical Signal Processing

Next Position: Product Manager, Tripinn Co.

Ali Hadizadeh

FPGA-based Real-time Simulation

Next Position: PhD, CE, U. of Toronto

Mohammad Labbaf

FPGA-based Real-time Simulation

Next Position: ZEI Co.

Seyed Sina Dezfuli

Image Processing

Next Position: PhD, CS, U. of Alberta

Undergraduate Students

Hami Mehrabi

Machine Learning

Sepehr Jalalian

GPGPU Acceleration of Big Data Algorithms

Pouria Mahdavi

Deep Reinforcement Learning

Faeze Ebrahimian

Deep Reinforcement Learning

Foad Jafarinejad

Machine Learning on GPU

Next Position: PhD, CS, Penn State

Mostafa Eghbali

Machine Learning Acceleration on FPGA

Next Position: PhD, CE, North Carolina

Mohammad Khubi

Active Causal Discovery

Ehsan Mokhtarian

Graph Matching

Next Position: PhD, CS, EPFL

Farzad Pourkamali

Active Causal Discovery

Ali Sayyadi (CE Dept.)

Causal Structure Learning in Time Series

Sina Akbari

Graph Matching

Peyman Momeni

Distributed Learning

Soheil Khadir

Machine Learning Acceleration on FPGA

Next Position: PhD, CS, Penn State

Amirhossein Aqajari

Machine Learning Acceleration on FPGA

Next Position: PhD, CE, UC Irvine

Seyyed Salar Latifi

Deep Learning Acceleration on Android

Next Position: PhD, CS, Michigan Ann Arbor

Hossein Golestani

Deep Learning Acceleration on Android

Next Position: PhD, CS, Michigan Ann Arbor

Shayan Fazeli

Computer Vision

Next Position: PhD, CS, UCLA

Ahmadreza Chegini

Graph Optimization Algorithms for Stream Processing

Next Position: MSc

Sina Mansour

Graph Optimization Algorithms for Stream Processing

Next Position: PhD, University of Melbourne

Saeed Abedi
(CE Dept.)

Graph Optimization Algorithms for Stream Processing

Next Position: PhD, CS, UPenn

Kamyar Mirzazad

Graph Optimization Algorithms for Stream Processing

Next Position: PhD, ECE, UT Austin

Hamid Pourrabi

Parallel Computing

Next Position: Software Developer, Rahnema Co.

Courses

25537 Parallel Programming and Architectures (click here)
25xxx Causal Inference
25540 Distributed Systems
25737 Introduction to Machine Learning
25755 Data Structures and Algorithm Design
25767 Object Oriented Programming
25739 Python Programming Laboratory
25719 Advanced Programming Laboratory

Workshop: Deep Learning with TensorFlow

Register

Workshop: FPGA-Based Acceleration

Register

List of MSc courses in Digital Systems group

Publications

Behrooz Zarebavani, Foad Jafarinejad, Matin Hashemi, Saber Salehkaleybar, "cuPC: CUDA-based Parallel PC Algorithm for Causal Structure Learning on GPU", IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 31, No. 3, March 2020.
Saeed Saadatnejad, Mohammadhosein Oveisi, Matin Hashemi, "LSTM-Based ECG Classification for Continuous Monitoring on Personal Wearable Devices", IEEE Journal of Biomedical and Health Informatics (JBHI), Vol. 24, No. 2, February 2020.
Alireza Amirshahi, Matin Hashemi, "ECG Classification Algorithm Based on STDP and R-STDP Neural Networks for Real-time Monitoring on Ultra Low-Power Personal Wearable Devices", IEEE Transactions on Biomedical Circuits and Systems (TBioCAS), Vol. 13, No. 6, December 2019.
Ali Hadizadeh, Matin Hashemi, Mostafa Parniani, "A Novel Algorithm for Design and Hardware Implementation of FPGA-Based Real-Time Simulator for Electrical Machines in HIL Applications", Journal of Iranian Association of Electrical and Electronics Engineers (JIAEEE), Vol. 16, No. 3, September 2019.
Ali Hadizadeh, Matin Hashemi, Mohammad Labbaf, Mostafa Parniani, "A Matrix-Inversion Technique for FPGA-Based Real-time EMT Simulation of Power Converters", IEEE Transactions on Industrial Electronics (TIE), Vol. 66, No. 2, Feb. 2019.
Amir Ghassami, Saber Salehkaleybar, Negar Kiyavash, Elias Bareinboim, "Budgeted Experiment Design for Causal Structure Learning", Proceedings of 35th International Conference on Machine Learning (ICML), July 2018.
Matin Hashemi, Kamyar Mirzazad Barijough, Soheil Ghiasi, "Throughput-Driven Parallel Embedded Software Synthesis from Synchronous Dataflow Models: Caveats and Remedies", In "Model-Implementation Fidelity in Cyber Physical System Design", Edited by Christian Fabre, Anca Molnos, Springer, 2017, ISBN 978-3-319-47306-2.
Amir Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang, " Learning Causal Structures Using Regression Invariance", Proceedings of 31st Conference on Neural Information Processing Systems (NIPS), December 2017.
Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash, Kun Zhang, " Learning Vector Autoregressive Models with Latent Processes", Proceedings of 32nd AAAI Conference on Artificial Intelligence (AAAI), February 2017.
Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash, " Identifying Nonlinear 1-Step Causal Influences in Presence of Latent Variables", Proceedings of International Symposium on Information Theory, 2017.
Seyyed Salar Latifi Oskouei, Hossein Golestani, Matin Hashemi, Soheil Ghiasi, "CNNdroid: GPU-Accelerated Execution of Trained Deep Convolutional Neural Networks on Android", Proceedings of the ACM Multimedia Conference, Open Source Software Track, October 2016.
Saber Salehkaleybar, Seyed Jamaloddin Golestani, " Token-based Function Computation with Memory", IEEE transactions on Parallel and Distributed Systems, Vol. 27, No. 6, June 2016.
Saber Salehkaleybar, Seyed Jamaloddin Golestani, " Distributed Binary Majority Voting via Exponential Distribution", IET Signal Processing, Vol. 10, No. 5, June 2016.
Saber Salehkaleybar, Mohammad Reza Pakravan, " A Periodic Jump-based Rendezvous Algorithm in Cognitive Radio Networks", Computer Communications, Vol. 79, April 2016.
Saber Salehkaleybar, Arsalan Sharif-nassab, Seyed Jamaloddin Golestani, " Distributed Voting/Ranking with Optimal Number of States per Node", IEEE Transactions on Signal and Information Processing over Networks, Vol. 1, No. 4, December 2015.
Kamyar Mirzazad Barijough, Matin Hashemi, Volodymyr Khibin, Soheil Ghiasi, "Implementation-Aware Model Analysis: The Case of Buffer-Throughput Tradeoff in Streaming Applications", Proceedings of the ACM SIGPLAN/SIGBED Conference on Languages, Compilers and Tools for Embedded Systems (LCTES), June 2015.
Kamyar Mirzazad Barijough, Matin Hashemi, Volodymyr Khibin, Soheil Ghiasi, "Implementation-Aware Buffer-Throughput Tradeoff in Embedded Stream Applications", IEEE/ACM Design Automation and Test in Europe (DATE), Workshop on Model Implementation Fidelity, March 2015.
Mohammad H. Foroozannejad, Matin Hashemi, Alireza Mahini, Bevan Baas, Soheil Ghiasi, "Time-Scalable Mapping for Circuit-Switched GALS Chip Multiprocessor Platforms", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), Vol. 33, No. 5, May 2014.
Matin Hashemi, Mohammad H. Foroozannejad, Soheil Ghiasi, "Throughput-Memory Footprint Trade-off in Synthesis of Streaming Software on Embedded Multiprocessors", ACM Transactions on Embedded Computing Systems (TECS), Vol. 13, No. 3, December 2013.
Seyed Arash Majd, Saber Salehkaleybar, M. R. Pakravan, " Multi-user Opportunistic Spectrum Access with Channel Impairments", AEU International Journal of Electronics and Communications, Vol. 67, No. 11, November 2013.
Saber Salehkaleybar, Seyed Jamaloddin Golestani, " Averaging Consensus over Erasure Channels via Local Synchronization", Proceedings of International Symposium on Information Theory, June 2013.
Saber Salehkaleybar, Seyed Arash Majd, Mohammad Reza Pakravan, " Delay Analysis and Buffer Management for Random Access in Cognitive Radio Networks", Proceedings of Iran Workshop on Communication and Information Theory, May 2013.
Matin Hashemi, Mohammad H. Foroozannejad, Christoph Etzel, Soheil Ghiasi, "FORMLESS: Scalable Utilization of Embedded Manycores in Streaming Applications", Proceedings of the ACM SIGPLAN/SIGBED Conference on Languages, Compilers and Tools for Embedded Systems (LCTES), pp. 71-78, June 2012.
Mohammad H. Foroozannejad, Trevor Hodges, Matin Hashemi, Soheil Ghiasi, "Postscheduling Buffer Management Trade-offs in Streaming Software Synthesis", ACM Transactions on Design Automation of Electronic Systems (TODAES), Vol. 17, No. 3, June 2012.
Matin Hashemi, Soheil Ghiasi, "Towards Scalable Utilization of Embedded Manycores in Throughput-Sensitive Applications", IEEE International High Level Design Validation and Test Workshop (HLDVT), pp. 110-115, November 2011 (invited).
Saber Salehkaleybar, Seyed Arash Majd, Mohammad Reza Pakravan, " QoS Aware Joint Policies in Cognitive Radio Networks", Proceedings of International Wireless Communications and Mobile Computing Conference, July 2011.
Soheil Ghiasi, Matin Hashemi, Volodymyr Khibin, Faisal Khan, "Puzzle Solver Accelerators Make Excellent Capstone Design Projects", IEEE International Conference on Microelectonics System Education (MSE), pp. 21-24, June 2011.
Saber Salehkaleybar, Seyed Arash Majd, Mohammad Reza Pakravan, " An Upper Bound on the Throughput for Myopic Policy in Multi-channel Opportunistic Access", Proceedings of International Symposium on Telecommunications, December 2010.
Mohammad H. Foroozannejad, Matin Hashemi, Trevor Hodges, Soheil Ghiasi, "Look Into Details: The Benefits of Fine-Grain Streaming Buffer Analysis", Proceedings of the ACM SIGPLAN/SIGBED Conference on Languages, Compilers and Tools for Embedded Systems (LCTES), pp. 27-36, April 2010.
Matin Hashemi, Soheil Ghiasi, "Versatile Task Assignment for Heterogeneous Soft Dual-Processor Platforms", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), Vol. 29, No. 3, March 2010.
Matin Hashemi, Soheil Ghiasi, "Throughput-Driven Synthesis of Embedded Software for Pipelined Execution on Multicore Architectures", ACM Transactions on Embedded Computing Systems (TECS), Vol. 8, No. 2, January 2009.
Po-Kuan Huang, Matin Hashemi, Soheil Ghiasi, "System-Level Performance Estimation for Application-Specific MPSoC Interconnect Synthesis", IEEE Symposium on Application Specific Processors (SASP), pp. 95-100, June 2008.
Matin Hashemi, Soheil Ghiasi, "Exact and Approximate Task Assignment Algorithms for Pipelined Software Synthesis", Proceedings of the IEEE/ACM Design Automation and Test in Europe (DATE), pp. 746-751, March 2008.
Po-Kuan Huang, Matin Hashemi, Soheil Ghiasi, "Joint Throughput and Energy Optimization for Pipelined Execution of Embedded Streaming Applications", Proceedings of the ACM SIGPLAN/SIGBED Conference on Languages, Compilers and Tools for Embedded Systems (LCTES), pp. 137-139, June 2007.

Open Source Projects

Blind Code Recognition

Deep-Learning Based Blind Recognition of Channel Code Parameters over Candidate Sets under AWGN and Multi-Path Fading Conditions

cuPC

CUDA-based Parallel PC Algorithm for Causal Structure Learning on GPU

ECG Classification - SNN

ECG Classification Algorithm Based on STDP and R-STDP Neural Networks for Real-time Monitoring on Ultra Low-Power Personal Wearable Devices

ECG Classification - LSTM

LSTM-Based ECG Classification for Continuous Monitoring on Personal Wearable Devices

CNNDroid

GPU-Accelerated Execution of Trained Deep Convolutional Neural Networks on Android

Benchmarks

Synchronous Dataflow (SDF) Graph Benchmarks for Parallel Processing