Dr. Saeed Sharifian.
Assistant Professor.

Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran
E-mail: sharifian_s@aut.ac.ir
Home Page: http://ele.aut.ac.ir/~sharifian
Address: Aboureyhan Building, Amirkabir University of Technology (Tehran Polytechnic) 424, Hafez Ave. Tehran, Iran, 13597-45778.
Office: 7th floor Room 737
Phone: +98-21-64545553
Fax: +98-21-64545553

Educational Background

[2003-2008]: Ph.D. Electrical Engineering, Amirkabir University of Technology Tehran, IRAN.
[2000-2002]: M.Sc. Electrical Engineering, Amirkabir University of Technology Tehran, IRAN.
[1995-2000]: B.Sc. Electrical Engineering, Khaje-Nasir-Toosi University of Technology Tehran, IRAN.

Research Interests

HW/SW

  • Embedded Systems
  • Data Acquisition Systems
  • Systems-on-Chip (SoC)
  • Hardware/Software Co-design
  • High Level Synthesis (HLS)
  • Reconfigurable Computing
  • Platform FPGA
  • ARM processors
  • Peripherals
  • industrial networks and protocols
  • DSP Processors and applications
  • Embedded software
  • RTOS
  • Android/IOS programming
  • System programming

Information Technology

  • Big data
  • Internet of Things
  • Pervasive, Mobile & Cloud Computing
  • Software defined any things (SDN, SDS, and Virtualization)
  • Parallel, distributed and many core systems, programming and middleware
  • Green IT, Green Computing
  • High performance Computing architectures and systems
  • Health monitoring, Biocomputing and Bioinformatics
  • High available architectures and systems
  • Disaster recovery planning
  • Web based technologies
  • Multimedia Systems & Networks
  • Computer networks (L7, QOS, and VANET)
  • Mobile and wireless Networks (Ad Hoc, Sensor)
  • Social Network Analysis
  • Hard & soft security

Algorithms

  • Real Time & Distributed Signal and Image Processing
  • Multi-resolution Signal, Image and Video Processing
  • Statistical Signal and Image Processing
  • Medical signal and Image processing
  • Computer Vision
  • Soft Computing
  • Artificial Life
  • Neuro-Fuzzy Systems
  • Evolutionary Computing
  • Cellular Automata
  • Expert Systems
  • Machine Learning
  • Data Mining, Distributed Data Mining
  • Swarm intelligence
  • Array signal processing
  • Multi sensor and high level data fusion
  • Analytical Performance Modelling
  • Time series forecasting
  • Resource management
  • Renewable Energy
  • Smart home and smart Grids
  • Parallel and distributed systems and algorithms

Courses Taught

Graduate:
• Cloud computing (Spring 2016)
• System on chip (SOC) (Spring 2016,Spring 2015 )
• Bio-inspired AI (Fall 2015,Fall 2014)
• Parallel systems (Spring 2015, Spring 2014, Spring 2013, Spring 2012)
• Pervasive computing (Spring 2014, Spring 2013)
• Cloud and Grid computing (Fall 2012, Fall 2011, Spring 2011)
• Advanced microprocessors (Spring 2014)

Undergraduate:
• Logic design with FPGA (Fall 2015,Fall 2014,Fall 2013, Fall 2012, Fall 2011, Fall 2010)
• Microprocessor systems and interfacing (Spring 2016, Fall 2015, Spring 2015, Fall 2014, Fall 2013)
• Advanced system programming with C++ & Qt (Spring 2015,Spring 2014, Spring 2013, Spring 2012, Spring 2011)
• Internet engineering (Spring 2011, Fall 2010)

Work Experiences

[2008-present] Faculty Member Electrical Engineering Department, Amirkabir University of Technology
[2010-2015]: director of research and development of Iranian national supercomputer in Amirkabir University of Technology
[2003-2015]: Senior researcher in Iranian High performance computing research centre in Amirkabir University of Technology
[2000-2014]: System Analyst & Senior Research Consultant, division of hardware and software in research centre of Iranian space agency.

Some of our latest projects

you can find out our latest projects.

Selected (ISI) Journal Papers:

Sakura Haruno

S. Masarat, S. Sharifian, H. Taheri. Modified parallel random forest for intrusion detection systems The Journal of Supercomputing , Volume 72, Issue 6, pp. 2235-2258, June 2016. doi:10.1007/s11227-016-1727-6 : IF : 1.08 Read More

Sakura Haruno

E. Iranpour, S. Sharifian. An FPGA implemented brain emotional learning intelligent admission controller for SaaS cloud servers Transactions of the Institute of Measurement and Control, May 10, 2016, doi: 10.1177/0142331216644042: IF :0.962 Read More

Sakura Haruno

A. Soltania, S. M. Ahadi, N. Farajic, S. Sharifian. Designing efficient discriminant functions for multi-category classification using evolutionary methods, Neurocomputing Journal, Vol. 173, Part 3, Pp: 1885–1897, 15 January 2016, doi:10.1016/j.neucom.2015.08.093. IF : 2. Read More

Sakura Haruno

M. Barati, S. Sharifian. A hybrid heuristic-based tuned support vector regression model for cloud load prediction. The Journal of Supercomputing, vol. 71, no. 11, pp. 4235-4259, November 2015, doi:10.1007/s11227-015-1520-y : IF : 1.08 Read More

Sakura Haruno

E. Arianyan, H. Taheri, S. Sharifian, Novel energy and SLA efficient resource management heuristics for consolidation of virtual machines in cloud data centers. An International Journal of Computers & Electrical Engineering, vol. 47, pp. 222–240, 2015 : doi:10.1016/j.compeleceng.2015.05.006: IF : 1.084 Read More

Sakura Haruno

A. Soltani, S. Sharifian. An ultra-high throughput and fully pipelined implementation of AES algorithm on FPGA. Microprocessors and Microsystems: Embedded Hardware Design (MICPRO), vol. 39, no. 7, pp. 480–493, 2015. doi:10.1016/j.micpro.2015.07.005 : IF : 0.471 Read More

Sakura Haruno

A. Sharifian, S. Sharifian. A new power system transient stability assessment method based on Type-2 fuzzy neural network estimation. International Journal of Electrical Power & Energy Systems, Vol. 64, Pages 71–87, January 2015. doi:10.1016/j.ijepes.2014.07.007, IF: 2.58. Read More

John Doe

E. Arianyan, H. Taheri, S. Sharifian. Novel heuristics for consolidation of virtual machines in cloud data centers using multi-criteria resource management solutions. The Journal of Supercomputing, vol. 72, no. 2, pp. 688-717, 2016. DOI: 10.1007/s11227-015-1603-9 , IF : 1.08 Read More

John Doe

M. Tarighi, S. A. Motamedi, S. Sharifian. Intelligent adaptive multi-parameter migration model for load balancing virtualized cluster of servers. Technical Gazette, vol. 21, no. 4, pp763-772, 2014. Read More

Naruto Uzumaki

S. Sharifian, S. A. Motamedi and M. K. Akbari. A predictive and probabilistic load-balancing algorithm for cluster-based web servers Applied Soft Computing, vol. 11, no. 1, pp. 970-981, 2011. doi:10.1016/j.asoc.2010.01.017. IF : 2.5 Read More

John Doe

S. Sharifian, S. A. Motamedi and M. K. Akbari An approximation-based load-balancing algorithm with admission control for cluster web servers with dynamic workloads The Journal of Supercomputing, vol. 53, no. 3, pp. 440-463, 2010, DOI : 10.1007/s11227-009-0303-8. IF: 0.917 Read More

John Doe

S. Sharifian, S. A. Motamedi and M. K. Akbari. A Content-Based Load Balancing Algorithm with Admission Control for Cluster Web Servers. Journal of Future Generation Computer Systems. Vol. 24 issue. 8, pp. 775-787, 2008. doi:10.1016/j.future.2008.03.005. IF: 2.0 Read More

John Doe

S. Sharifian, S. A. Motamedi and M. K. Akbari. Estimation-Based Load-Balancing with Admission Control for Cluster Web Servers. ETRI Journal, Vol. 31, No. 2, pp. 173-181. April 2009. doi:10.4218/etrij.09.0108.0168. IF: 1.1 Read More

John Doe

A. Choobineh, M. Hosseini, M. Lahmi, S. Sharifian, A. H. Hosseini. Weaving Posture Analyzing system (WEPAS): Introduction and Validation. International Journal of Industrial Ergonomics. Vol. 34, Issue 2, Pp: 139–147. 2004. doi:10.1016/j.ergon.2004.03.004. IF :1.39 Read More

Selected International Journal Papers:

John Doe

A. Rahati Belabad, E. Iranpour, S. Sharifian. FPGA Implementation of a Hammerstein Based Digital Predistorter for Linearizing RF Power Amplifiers with Memory Effects. Amirkabir International Journal of Electrical & Electronics Engineering (AIJ-EEE), Vol. 47, Issue 2, Page 9-17 , Autumn 2015 Read More

John Doe

Y. Siahmargooei, M. K. Akbari, S. A Hashemi, and S. Sharifian. Near-Optimal Virtual Machine Packing Based on Resource Requirement of Service Demands Using Pattern Clustering International Journal of advanced studies in Computer Science and Engineering (IJASCSE), Vol. 3, Issue 6, 2014. Read More

John Doe

M. Tarighi, Seyed A. Motamedi and S. Sharifian. A new model for virtual machine migration in virtualized cluster server based on Fuzzy Decision Making Journal of Telecommunications, Vol. 1, Issue 1, Feb. 2010. Read More

Selected International IEEE Conference Papers:

John Doe

M. Seddigh, H. Taheri, S. Sharifian. Dynamic prediction scheduling for virtual machine placement via ant colony optimization. 1st International Conference on Signal Processing and Intelligent Systems (SPIS), Page(s): 104 – 108, 2015 DOI: 10.1109/SPIS.2015.7422321. Read More

John Doe

N. Dezhabad, S.A. Motamedi, S. Sharifian, A proposed architecture for soft computing in smart grid as a cloud-based service. 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI), Page(s): 386 - 391, 5-6 Nov. 2015. DOI: 10.1109/KBEI.2015.7436076. Read More

John Doe

H. Ghasemi, A. Toroghi, M. Razazi, S. Sharifian. Pervasive privacy: A practical context-aware system to preserve privacy on android smartphones. 7th Conference on Information and Knowledge Technology (IKT), Page(s): 1 – 6, 2015. DOI: 10.1109/IKT.2015.7288781 Read More

John Doe

M. Barati, S. Sharifian. A new hybrid model for request rate prediction in mobile cloud computing. 23rd Iranian Conference on Electrical Engineering, Page(s): 775 - 780, 10-14 May 2015. DOI: 10.1109/IranianCEE.2015.7146318 Read More

John Doe

S. Masarat, H. Taheri, S. Sharifian. A novel framework, based on fuzzy ensemble of classifiers for intrusion detection systems. 4th International eConference on Computer and Knowledge Engineering (ICCKE), Page(s): 165 - 170, 29-30 Oct. 2014. DOI: 10.1109/ICCKE.2014.6993345 Read More

John Doe

L. Esmaeili, M. K. Akbari, V. Amiry, S. Sharifian. Distributed classification of Persian News (Case study: Hamshahri News dataset). 3th International eConference on Computer and Knowledge Engineering (ICCKE), Page(s): 46 - 51, 2013. DOI: 10.1109/ICCKE.2013.6682829 Read More

John Doe

A. Varamesh, M. Kazem Akbari, M. Fereiduni, S. Sharifian. Distributed Clique Percolation based Community Detection on Social Networks using Map Reduce. 5th Conference on Information and Knowledge Technology (IKT 2013), Page(s):478 – 483, 28-30 May 2013. DOI:10.1109/IKT.2013.6620116 Read More

John Doe

M. Farhadi, S.A. Motamedi, S. Sharifian, Efficient Human Detection Based on Parallel Implementation of Gradient and Texture Feature Extraction Methods 7th Iranian Machine Vision and Image Processing (MVIP), Page(s): 1 - 5 ,2011 DOI: 10.1109/IranianMVIP.2011.6121596 Read More

John Doe

V. Khoshdel, S.A. Motamedi, S. Sharifian, M. Farhadi, A new approach for optimum resource utilization in cloud computing environments 1st International eConference on Computer and Knowledge Engineering (ICCKE), Page(s): 314 - 32 – 2011. DOI: 10.1109/ICCKE.2011.6413371 Read More

John Doe

S. Sharifian, M. K. Akbari, S. A. Motamedi, “A Novel Intelligence Request Dispatcher Algorithm for Web Server Cluster”. 10th IEEE-EURASIP International Workshop on None Linear Signal Processing, (NSIP). Sopoor,JAPAN ,2005. Read More

Selected National Journal Papers:

John Doe

سعيد شريفيان، سيد محمد احدي. "تطبيق گوينده در بازشناسي گفتار پيوسته بر اساس تخمين MAP مبتني بر تبديل MLLR " . نشريه علمي - پژوهشي استقلال، دانشگاه صنعتي اصفهان، سال 23 شماره 2 صفحات 39 تا 50. زمستان 1383 Read More

John Doe

عليرضا چوبينه، محمد علي لحمي، مصطفي حسيني، سعيد شريفيان، آرش هاشمي حسيني. " كاربرد تكنولوژي پردازش تصوير به ك مك كامپيوتر در آناليز وضعيت بدن". فصلنامه علمي- پژوهشي ارگونومي. دوره دوم، شماره1 بهار 1383 صفحات 3 تا Read More

Selected National Conference Papers:

John Doe

Y. Siahmargooei, M. K. Akbari, S. A. Hashemi, S. Sharifian. Auto-Scaling of Cloud Computing Resources Based on Clustering of Instantaneous Request Patterns of Services in form of Off-line Computations. 2th international conf. on information technology, communications and telecommunications (irICT2016). 1-2 march 2016. Read More

John Doe

Sh. Rashidi, S. Sharifian. Intelligent allocation algorithm for task offloading in mobile cloud computing, 23 Th Iranian Conference on Electrical Engineering (ICEE 2015), 10-14 May 2015. Read More

John Doe

H. Azadi, S. Sharifian, S.A. Motamedi, Packet Loss Probability Estimation with Kalman Filter. The 6th Conference on Information and Knowledge Technology (IKT 2014), 27-29 May2014. Read More

John Doe

S. Abdi, S.A. Motamedi, S. Sharifian. Task Scheduling using Modified PSO Algorithmin Cloud Computing Environment. International Conference on Machine Learning, Electrical and Mechanical Engineering (ICMLEME2014), Jan. 8-9, 2014. Read More

John Doe

سعيد شريفيان، سيد احمد معتمدي. " محاسبه ظرفيت كلاستر سرويس دهنده وب به كمك مدل صف MMPP/G/1 ". چهاردهمين كنفرانس مهندسي برق ايران، تهران. دانشگاه اميركبير،ICEE2006. Read More

John Doe

سعيد شريفيان، سيد مصطفي صفوي، سيد احمد معتمدي. "ارائه يك مدل جديد سرويس دهي ترافيك براي كارآيي سرويس دهنده وب ". سي زدهمين كنفرانس مهندسي برق ايران، دانشگاه زنجان. ارديبهشت 1384. Read More

John Doe

سعيد شريفيان، منصور وفادوست. "فيلتر فازي – ويولت براي حذف نويز گوسي تصوير". دهمين ك نفرانس سالانه انجمن كامپيوتر ايران، مركز تحقيقات مخابرات ايران، تهران. بهمن 1383. Read More

John Doe

سعيد شريفيان، منصور وفادوست. "فيلتر فازي – عصبي براي حذف نويز ضربه اي تصوير". دهمين كنفرانس سالانه انجمن كامپيوتر ايران، مركز تحقيقات مخابرات ايران، تهران. بهمن 1383. Read More

John Doe

حسين حسيني نژاد محبتي، سعيد شريفيان، آرش هاشمي حسيني. "طراحي و ساخت سيستم سخت افزاري مبتني بر TMS320C6201 براي رديابي بي درنگ اشيا م تحرك" . دومين كنفرانس پردازش تصوير و ماشين بينايي (MVIP2003), تهران، دانشگاه صنعتي خواجه نصير الدين طوسي.بهمن ماه 1381. Read More

Students

This is what we are.

The M.Sc. and Ph.D. students are required to have the basic knowledge, skills and visions necessary to advance researches. This goal is achieved through a balance of required courses and oriented studies in different research areas of electrical engineering. The students achieve different fundamental skills and techniques become familiar with analysis and design of systems and algorithms through the final project. The work requires the students to design and, in most cases, to build and demonstrate a prototype of their work. A series of innovative papers related to the project must also be produced and submit for publication in the accepted journals.

Current Research topics

Internet of Things (IOT)

efficiently management of energy consumption in smart homes by Taking into account the advantage of renewable energy sources and carefully scheduling electric demands helps to protect the environment and reduce global warming and recently has gained high global interest.

Mobile cloud & Software defined networks

mobile cloud computing has gained interest in recent years. problems such as intelligent network selection, offloading costly computation in mobile devices into cloud and software architecture for the next generation of mobile devices in cloud are attracting new researches. wearable computing and augmented reality are new areas for next level of man-machine interaction.

System on Chip & Embedded systems

many applications such as image processing, video processing, network processing, network security, scientific computing, and many more, require acceleration to achieve higher throughput and reduced execution time. current modern platform FPGAs devices allow hardware-software co-design that enable new methods for acceleration.

medical signal & image processing

ECG signal recording and its analysis is vital for many patient oriented applications. this signal can also be used to determine humans emotion. medical image processing such as MRI denoising and automatic segmentation can accelerate medical diagnostic.

Current PhD Students

Ahmad Rahati
RF Design
Marzie Mohamadi
Cognetive neuro computing

Current Master Students

Alireza Farshin
Resource Allocation in SDN Networks for 5G Applications
Sima Jedi
Network traffic prediction for resource allocation in network function virtualization(NFV)
Negin Gholizade
Context aware IoT Sensor Function Virtualization in Cloud
Eiman Iranpour
A distributed resource management algorithm for large scale SaaS architecture
Mohsen Soltanpour
EEG Classifier for Man-Machine interface
Farshad Kazemi
A framework for improvement of home energy management in demand response based systems
Hossein Khadem Sohi
A position aided vehicle collision avoidance system in VANET based on Fusion of position sensors

Graduated Students

Selected Thesis

PhD Students(Thesis)

--

Master Students(Thesis)

Mohammad Mohammadi (trust based service selection in mobile cloud computing)

Shima Rashidi (offloading in mobile cloud computing)

Masoud Barati (demand prediction in mobile cloud computing)

Naqhme Dejabad (Auto scale firewall in cloud)

Hamid Azadi (GPS, INS data fusion)

Roqhaie Ali Panahi (Affective computing)

Contact Information

Dr. Saeed Sharifian
Dr. Saeed Sharifian

Dr. Saeed Sharifian.

Assistant Professor

Department of Electrical Engineering, Amirkabir University of Technology,Tehran, Iran

Phone: +98-21-64545553

Fax: +98-21-64545553

Email: sharifian_s [@] aut.ac.ir

Home Page: http://ele.aut.ac.ir/~sharifian

Address: Aboureyhan Building, Amirkabir University of Technology (Tehran Polytechnic) 424, Hafez Ave. Tehran, Iran, 13597-45778.

Office: 7th floor Room 737