A Center for Sustainable Cloud Computing

Ali Pahlevan

EDUCATION
SWISS FEDERAL INSTITUTES OF TECHNOLOGY (EPFL), SWITZERLAND
PH.D. CANDIDATE, ELECTRICAL ENGINEERING
Sep. 2014 – Expected Oct. 2018 | Embedded Systems Laboratory (ESL), Prof. David Atienza

SHARIF UNIVERSITY OF TECHNOLOGY (SUT), IRAN
M.SC., COMPUTER ENGINEERING IN COMPUTER ARCHITECTURE (GPA: 18.56 / 20)
2010 – 2012 | Energy- and Environment-Aware Systems laboratorY (EASY), Prof. Maziar Goudarzi

FERDOWSI UNIVERSITY OF MASHHAD (FUM), IRAN
B.SC., COMPUTER ENGINEERING IN HARDWARE ENGINEERING (GPA: 17.85 / 20)
2002-2006

RESEARCH INTERESTS
• Energy Efficiency in Data Centers
• Cloud Computing
• Green Computing
• Embedded Systems
• Hardware-Software Co-design
• Reconfigurable Computing

HONORS & AWARDS
• Reviewer of IEEE Transactions on Computers (TC), IEEE International Conferences on Computer Design (ICCD) and ESWEEK (CODES/ISSS)
• Awarded Internship Grant from Embedded Systems Laboratory (ESL) at EPFL, Switzerland
• Honorary Admitted as a Distinguished Student in PhD program, Department of Computer Engineering, Sharif University of Technology
• Ranked 23th in National University Students Olympiad in Computer Engineering, Tehran, Iran
• Ranked 1st among M.Sc. Students
• Ranked 58th in National University Entrance Exam for M.Sc. Degree in Computer Engineering among about 20,000 Participants
• Ranked 1st among B.Sc. Students
• Honorable Mention in the ACM Asia Programming Contest, Tehran Site
• Ranked 1st, 3rd, and 4th in Internal ACM Programming Contest in FUM, Iran

PUBLICATIONS
JOURNAL PAPERS AND BOOK CHAPTER
• Ali Pahlevan, Marina Zapater, Ayse K. Coskun and David Atienza, ”Electricity Cost Optimization for Green Data Centers in Smart Grid Regulation Service,” In IEEE Transactions on Sustainable Computing (TSUSC), 2018 (To be submitted)
• Kawsar Haghshenas, Ali Pahlevan, Marina Zapater, Siamak Mohammadi and David Atienza, ”A
Distributed-Centralized Low Overhead Approach for Energy Efficient Resource Management of Cloud Data Centers,” In IEEE Transactions on Services Computing (TSC), 2018 (To be submitted)
• Ali Pahlevan, Xiaoyu Qu, Marina Zapater and David Atienza, ”Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers,” In IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2017
• Ali Pahlevan, Maurizio Rossi, Pablo Garcia del Valle, Davide Brunelli and David Atienza, ”Joint Computing and Electric Systems Optimization for Green Datacenters,” In Handbook of Hardware/ Software Codesign, Springer, 2017
• Sina Esfandiarpoor, Ali Pahlavan and Maziar Goudarzi, ”Structure-Aware Online Virtual Machine
Consolidation for Datacenter Energy Improvement in Cloud Computing,” In Computers & Electrical
Engineering, Elsevier, 2015
• Ali Pahlavan, Mahmoud Momtazpour and Maziar Goudarzi, ”Power Reduction in HPC Data Centers: A Joint Server Placement and Chassis Consolidation Approach,” In Journal of Supercomputing, Springer, 2014

CONFERENCE AND TECHNICAL PAPERS
• Ali Pahlevan, Yasir Mahmood Qureshi, Marina Zapater, Andrea Bartolini, Davide Rossi, Luca Benini and David Atienza, ”Energy Proportionality in Near-Threshold Computing Servers and Cloud Data Centers: Consolidating or Not?,” In Design, Automation & Test in Europe Conference Exhibition (DATE), 2018
• Arman Iranfar, Ali Pahlevan, Marina Zapater, Martin Zager, Mario Kovac and David Atienza, ”Online Efficient Bio-Medical Video Transcoding on MPSoCs Through Content-Aware Workload Allocation,” In Design, Automation & Test in Europe Conference Exhibition (DATE), 2018
• Ali Pahlevan, Javier Picorel, Arash Pourhabibi Zarandi, Davide Rossi, Marina Zapater, Andrea Bartolini, Pablo G. Del Valle, David Atienza, Luca Benini and Babak Falsafi, ”Towards Near-Threshold Server Processors,” In Design, Automation & Test in Europe Conference Exhibition (DATE), 2016
• Ali Pahlevan, Pablo Garcia del Valle and David Atienza, ”Exploiting CPU-Load and Data Correlations In Multi-Objective VM Placement for Geo-Distributed Data Centers,” In Design, Automation & Test in Europe Conference Exhibition (DATE), 2016
• Ali Pahlavan, Mahmoud Momtazpour and Maziar Goudarzi, ”Variation-Aware Server Placement and Task Assignment for Data Center Power Minimization,” In IEEE Int’l Symp. On Parallel and Distributed Processing with Applications (ISPA), 2012
• Ali Pahlavan, Mahmoud Momtazpour and Maziar Goudarzi, ”Data Center Power Reduction By Heuristic Variation-Aware Server Placement and Chassis Consolidation,” In IEEE CSI Int’l Symp. on Computer Architecture and Digital Systems (CADS), 2012
• Ali Pahlevan, Marina Zapater, Pablo Garcia del Valle and David Atienza, ”Multi-Objective System-Level Management of Geo-Distributed Data Centers,” In YINS project, nano-tera & EcoCloud, 2016 and 2017
• Sina Esfandiarpoor, Ali Pahlavan and Maziar Goudarzi, ”Virtual Machine Consolidation for Datacenter Energy Improvement,” In Distributed, Parallel, and Cluster Computing (cs.DC), arXiv, 2013

THESES
• Ph.D.: ”Multi-Objective System-Level Management of Cloud Data Centers” | Supervision of Prof. Atienza
• M.Sc.: ”Thermal- and Process Variation-Aware Datacenter Energy Reduction” | Supervision of Prof. Goudarzi
• B.Sc.: ”Speaker Recognition using Digital Signal Processor (DSP)” | Supervision of Prof. Vahedian and Sadoughi

PROJECT EXPERIENCES
GREENDATANET: GREEN AND SMART DATA CENTRES NETWORK DESIGN | EUROPEAN COMMISSION FP7, STREP PROJECT
2014 – 2017 | In Cooperation With Eaton Industries (FR), Nissan International SA (CH), CEA (FR), ICTRoom (NL), Univ. of Trento (IT) and Credit Suisse SA (CH), Under the Supervision of Prof. Atienza
Description : Design, validate and demonstrate a system-level optimization solution for urban data centers to improve their energy and performance (Demo Link on Internet Explorer: http://gdn.perf-it.eu/webhmi/homeexternal.htm )

NANO-TERA | YINS RTD PROJECT
2015 – 2017 | In Cooperation With EPFL, ETHZ, Eaton, BrainServe and Credit Suisse, Under the Supervision of Prof. Atienza
Description : Thermal- and power-aware design approach for next generation data centers

FACE RECOGNITION USING MACHINE LEARNING ALGORITHMS
2017 | Under the Supervision of Prof. Marcel and Rabello Dos Anjos

BUILDING CLIMATE CONTROL USING MODEL PREDICTIVE CONTROL
2015 | Under the Supervision of Prof. Jones

ACCELERATION AES IMPLEMENTATION ON ALTERA FPGA | NIOS-II SOFT CORE PROCESSOR
(HARDWARE-SOFTWARE CO-DESIGN)
2011 | Under the Supervision of Prof. Goudarzi

PLACEMENT OPTIMIZATION FOR FPGA HIERARCHICAL ARCHITECTURE
2011 | Under the Supervision of Prof. Asadi

SCAN CHAIN INSERTION CONSIDERING THE CRITICAL PATH
2010 | Under the Supervision of Prof. Hessabi

CARTESIAN-TO-POLAR INTERPOLATION USING GPU (MEMOCODE 2009)
2010 | Under the Supervision of Prof. Goudarzi

TEACHING EXPERIENCES
•2017 & 2018| Digital Systems Design (B.Sc. Course), EPFL
•2012| Electronic System Level Design (M.Sc. Course), Sharif University of Technology
•2012| Digital Electronics Laboratory (B.Sc. Course), Sharif University of Technology
•2011| Digital Systems Design (B.Sc. Course), Sharif University of Technology

PROFESSIONAL SKILLS
PROGRAMMING
C/C++, Matlab, Python (familiar), Integer Linear Programming (ILP), Verilog, SystemVerilog, SystemC, CUDA Programming, Assembly

TOOLS
Proteus, Hspice, Pspice, Modelsim, Synopsys Design Compiler, Gams, Lingo, Synopsys DFT Compiler, Quartus II, XPS and ISE Xilinx, Code Composer Studio EDITING SOFTWARES
Microsoft Office and LATEX

SPOKEN & WRITTEN
English: Fluent
Persian: Native
French: Beginner

HOBBIES
SPORT
Futsal (Ranked 4th in Annual Futsal Competition at Ferdowsi University of Mashhad, 2007), Volleyball and Swimming

ART
Music, Painting and Photography

REFERENCES
DAVID ATIENZA | ASSOCIATE PROFESSOR OF ELECTRICAL AND COMPUTER ENGINEERING, AND THE DIRECTOR OF THE EMBEDDED SYSTEMS LABORATORY (ESL), EPFL, LAUSANNE, SWITZERLAND
Contact: david.atienza@epfl.ch

MAZIAR GOUDARZI | ASSOCIATE PROFESSOR OF COMPUTER ENGINEERING, AND THE DIRECTOR OF THE ENERGY AND ENVIRONMENT AWARE SYSTEMS LABORATORY (EASY), SHARIF UNIVERSITY OF TECHNOLOGY, TEHRAN, IRAN
Contact: goudarzi@sharif.ir

MORE REFERENCES ARE AVAILABLE UPON REQUEST

 

Skills

  • Cloud Computing
  • Embedded Systems
  • Energy Efficiency in Data Centers
  • Green Computing
  • Hardware-Software Co-design
  • Personal Skills: Team Work - Creativity - Problem Solving - Managing - Organizing - Curiosity

Education

Sep. 2014 - Present

Ph.D. Candidate, Electrical Engineering at EPFL, Switzerland

Embedded Systems Laboratory (ESL), Advisor: Prof. David Atienza

2010 - 2012

M.Sc., Computer Engineering in Computer Architecture at Sharif University of Technology (SUT), Iran

Energy- and Environment-Aware Systems laboratorY (EASY), Advisor: Prof. Maziar Goudarzi
GPA: 18.56/20

2006 - 2010

B.Sc., Computer Engineering in Hardware Engineering at Ferdowsi University of Mashhad (FUM), Iran

GPA: 17.85/20

2002 - 2006

Diploma of Mathematics & Physics at Nasr and Derakhshan High School Mashhad, Iran

GPA: 19.45/20

  • AI / Machine Learning / Robotics / Vision, Computer Science/Engineering, Hardware / Architecture, Mobile / Ubiquitous / Embedded Computing, Numerical/Scientific Computing / HPC / Data-Intensive Scalable Computing
  • Updated 2 years ago

To contact this candidate email ali.pahlevan@epfl.ch

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