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Mohammad Shojafar

Room number 101,
Department of Information Engineering, Electronics (DIET)
Sapienza University of Rome,
Via Eudossiana 18, 00184 Rome, Italy.
shojafar@diet.uniroma1.it
Mohammad Shojafar is Research Asscociate in information and communication engineering at DIET Dept. of the Sapienza University of Rome. He Received his Msc in software engineering in Qazvin Islamic Azad University, Qazvin, Iran in 2010. Also, he received his Bsc. in computer engineering-software major in Iran university science and technology, Tehran, Iran in 2006. His current research focuses on wireless communications, distributed computing and mathematical and AI optimization. He is an author/co-author of 40+ peer-reviewed publications (h-index=13) in well-known conferences (e.g., IEEE ICC, GLOBECOM, ISCC) and journals in IEEE, Elsevier, IOS press and Springer publishers. Since 2013, he is the membership of IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing and a Distinguished Lecturer of IEEE Computer Society representing Europe. In addition, Mohammad was a programmer and analyzer in exploration directorate section at National Iranian Oil Products Distribution Company (NIOPDC) in Iran from 2012-2013. In detail, his PhD tasks concentrates energy provisioning over networked data centers mainly focused on load balancing by applying predicating workloads, which covers high-performance computing, and have high-level skills in programming such as Java/C++ programming. Formally, his actively involves in research conducted to increase energy performance with the use of computation and communication. These research efforts attempt to save energy in computing and communication systems includes scheduling appliances in order to reduce energy usage in data centers and to design ICT-based methods that improve energy production and distribution, and optimize consumption. He worked on optimal minimum-energy scheduler for the adaptive joint allocation of the task sizes, computing rates, communication rates and communication powers in Virtualized Networked Data Centers (VNetDCs). In detail, he proposed a traffic engineering-based adaptive energy-aware approach to dynamically reconfigure the computing-plus-communication resources of VNetDCs which provides hard QoS guarantees and support in real-time the service requirements of mobile clients connected by TCP/IP energy-limited wireless backbone which is published in IEEE TCC. He took part as system modeler via computational intelligence methods, particularly mathematical optimization techniques such as KKT, workload anticipation techniques, and gradient based approaches, some AI methods, and some supervised learning (regression analysis) in some academic tasks. Besides, he accomplishes in the assigned tasks which are comprised by data analytics, programming with emerging technologies e.g., HTML and Java. He has some experiences in reformulate the problem statement as an analytics problem, state the set of assumptions related to the problem, enough insight into the documents and communicate findings (including assumptions, limitations and constraints) and support deployments. Finally, He has four years experiences to teach in Persian/English software engineering courses of computer science major (e.g., software engineering, operating systems, algorithm design) in several national universities of Iran joint with serving as a consultant for some master students during his PhD in Sapienza university of Rome and led them in their theses.
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