سخنرانان کلیدی و مدعو

Professor Aria Alasty

Department of Mechanical Engineering Sharif University of Technology

Tehran, Iran



Topic of speech: Some New Challenges in Control System Theory
Abstract of speech

برخی چالشهای نوین در تئوری سیستمهای کنترلی

حوزه پژوهشی و صنعتی سیستمهای کنترلی همواره دارای مسائل و موضوعات جدید و جذاب است. در سخنرانی حاضر، تعدادی از این چالشها که در گروه تحقیقاتی گوینده دارای سابقه است معرفی و ارائه خواهند شد.

(Exact control of distributed Parameter Systems) کنترل دقیق سیستمهای با خواص توزیع شده

بخش عمده ای از روشها و ابزار تحلیل و طراحی سیستمهای کنترلی بر مبنای فرضیات ساده کننده ای بنا نهاده شده است. به عنوان مثال متمرکز بودن خواص فیزیکی که منجر به استخراج معادلات دینامیکی به صورت معادلات دیفرانسیل معمولی میشود. اگر ناچار شویم از این فرض ساده کننده صرف نظر کنیم به معادلاتی به شکل دیفرانسیل جزیی خواهیم رسید. در این سخنرانی درباره مسائلی که در آن ناچار به طراحی کنترل دقیق (بدون تقریب) برای سیستمی هستیم که معادلات آن به فرم دیفرانسیل جزیی است میپردازیم.

(Controlling and utilization of chaos)کنترل و بهره برداری از سیستمهای آشوبناک

سیستمهای آشوبناک سیستمهای غیر خطی پیچیده و معینی هستند که از خود رفتارهایی شبه نامعین نشان میدهند. این سیستمها دارای ویژگیهای جذابی هستند که امکانات جدیدی را در سیستمهای کنترلی ارائه میدهند. در این سخنرانی به برخی ویژگیهای کنترلی این سیستمها و کاربردهای آنها میپردازیم.

(Control of fractional order systems)کنترل سیستمهای با مشتقات کسری

در این مبحث با سیستمهایی مواجه هستیم که رسته مشتق در معادلات دیفرانسیل آنها به جای اینکه یک عدد صحیح باشد یک عدد کسری است. امروزه ثابت شده است که اینگونه معادلات، برخی خصوصیات فیزیکی را کاملتر و بهتر نمایش میدهند. تحلیل و حتی حل عددی این معادلات دارای پیچیدگی های خاص خود است و در نتیجه طراحی کنترل نیز برای آنها ابزار خاص خود را نیاز دارد. استفاده از الگوریتمهای کنترلی که خودشان دارای مشتقات با رسته کسری هستند نیز موضوع پر جاذبه ای برای طراحان سیستمهای کنترلی است.

(Group intelligence and Swarm Control)کنترل و هوش گروهی

سیستمهایی که دارای اعضای مستقل و زیادی هستند و ضمن تعریف رابطه درونی یک هدف عملیاتی معین دارند را سیستمهای گروهی و یا توده ای میگویند. اعضای این سیستمها دارای سطح هوش پایین و ساده هستند ولی با طراحی الگوریتمهای کنترلی مناسب رفتار جمعی آنها از درجه کافی از پیچیدگی برخوردار میشوند. این مفهوم که از پدیده های گله ای در طبیعت اقتباس شده کاربردهای جذابی را در سیستمهای کنترلی ارائه کرده است. برخی دستاوردهای گروهِ پژوهشیِ سخنران، در تعریف مفاهیم و الگوریتمهای جدید کنترل سیستمهای گروهی به ویژه در رباتیک ارائه خواهد شد.


Aria Alasty received his B.Sc. and M.Sc. in mechanical engineering from Sharif University of Technology, Tehran, Iran, in 1987 and 1989 respectively, and his Ph.D. degree from Carleton University, Ottawa, Canada in 1996 and was a Senate Gold Medalist for Distinguished PhD Thesis. He has since been a Professor at the Department of Mechanical Engineering, Sharif University of Technology. He was the director of Training & Higher Education at Advanced Manufacturing Research Center (AMRC) from 1997-2002 and a Member of Center of Excellence in Design, Robotics, and Automation (CEDRA) since 2001. From 2000-2002 he was the Director of Central Workshops at Sharif University of Technology. In 2002, he was appointed as Vice-Chair of Academic Affairs and from 2005-2006 he was the Vice-Chair of Graduate Studies in Department of Mechanical Engineering of Sharif University. He has received the award for Supervision of the Best B.Sc., M.Sc. and PhD thesis in Mechanical Engineering from Iranian Society of Mechanical Engineers multiple times and was chosen as the Distinguished Researcher in 2008 and 2009.

Some of his research interests include: Nonlinear Systems and Control, Fuzzy Modeling and Control of Dynamic Systems, Chaos Control, Analysis of Chaotic Systems, Special Purpose Robotics and Intelligent Machines, Parallel Mechanisms and Robots, Dynamics and Control, Dynamic Modeling and Analysis of MEMS/NEMS, Vibration Analysis and Control of Distributed Parameter Systems.

Professor Mais Farkhadov


Head of Laboratory of the Automated​ ​queuing ​systems ​and signal processing​

V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences

Moscow, Russia


Topic of speech: Application of Speech analytics in information space monitoring systems
Abstract of speech

To monitor means to observe a state of controlled environment in order to timely identify trends in the state change, analyze the events occurring in the environment, and prevent threats. In contrast to other types of control, monitoring implies continuous, diverse, and real-time observations.

Information space monitoring systems cover many information field objects: Internet resources, mass media, social networks, sensors and control devices.

There are various methods and tools to find the right information in large amounts of text data. Methods have been developed to analyze the received information, interpret and present the results.

However, most of such systems do not support the function of audio information monitoring. Meanwhile, intensive and often very informative speech exchange occurs in telephone networks, over the Internet, in public places. In addition, a large amount of audio data is recorded and stored daily by various companies, banks, government services. These data, after being properly processed, will complement the picture of what is happening in the information space and will allow us to detect information elements, which signify potential risks.

The “Analyze” speech analytics system is used to perform audio data analysis.

Analyze, an automated keyword spotting system, is based on large vocabulary continuous speech recognition approach. The system relies on the results of the scientific community, namely, the open-source software CMU Sphinx for acoustic modeling and decoding, and SRILM for language modeling. At the same time the system has several technological advantages: linguistic knowledge is used in training and decoding, namely, a morphological parser of texts and transcription variation to generate word transcriptions, transcription variation rules, and automated generation of word forms on the spotting step; real-world industrial data is used to train acoustic models; accurate language modeling achieved via scrupulous choice of training data; real-time operation mode on limited computer resources.

The system can handle both previously recorded audio files, and analyze the voice stream in real time.

If we include a keyword spottind system into our information space monitoring systems we will significantly expand the range of information sources and monitor the controlled environment more effectively.


Mais Farkhadov received his M.Sc. in Computer Engineering from Azerbaijan Polytechnic Institute, Baku in 1983 and his PhD in Computers, complexes, systems and networks from Institute of Control Sciences of Russian Academy of Sciences (ICS RAS), Moscow in 1999. He has been the Head of Laboratory of Automated Queuing Systems and Signal Processing, Institute of Control Sciences RAS, Moscow since 2008. He is the Author of over 120 publications, including 5 monographs and 3 inventions. He is also the director of the Youth Scientific School at Institute of Control Sciences “Research and development of social queuing systems and network”.

Some of his research interests include: Automated queuing systems, queuing theory, speech recognition, voice control and speech interface, community-oriented innovative online services, intelligent dialogue management, voice portal, modeling and model queues, interactive self-service, voice and multimedia technologies, Internet, computer networks, mathematical models for analysis and optimization of queuing networks, sign language translate, methods of analysis of audio streams of speech, contact centers.

Management and control sciences, Information, communication and multimedia technologies, Multimodal and speech interfaces, Electronic state, Programming models and systems and Development of socially-oriented innovation systems.

Professor Alexey Poletikin

Head of Laboratory of Distributed Information and Analytical Control Systems

V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences

Moscow, Russia

Topic of speech: Some Issues of Creating the New Generation of Upper Level Control Systems of NPP APCS
Abstract of speech

The paper is devoted to upper level control systems of NPP APCS (automated control systems of nuclear power plants). In the paper, a critical analysis of achievements in this area in the light of changes in the science, engineering, and society having taken places within the last 15 years is presented. Approaches to creating the new generation of upper level control systems for NPP APCS are considered. A description of new features of the next generation systems is proposed.


Alexey Poletikin graduated from Moscow Physical Technical Institute in 1986. His specialty is scientific and engineering research on control sciences. In 1989, he received the degree of candidate technical of sciences (equal to doctor) and in 2008, he had the degree of doctor of technical sciences (equal to professor).

He started and is continuing to work in V.A. Trapeznikov Institute of Control Sciences since 1983. He worked on I&C of civil NPP (Nuclear Power Plant) until 1986. He was also included in NPP projects in Bushehr and Kudankulam projects in Iran and India. He was responsible for development of the I&C top-level technical specifications, technical design specifications, man-machine interface software, testing and personal teaching in Russia, Iran and India.

Some of his research interests include: I&C architectures and technologies, Man-machine interface, Cyber safety and security and Computer languages.








مهندس محمد حسن موحدی

مدیر مسئول مجله تازه‌های کنترل

سودای صنعتی شدن

در شرایطی که گوناگونی، سرعتِ تغییرات و کوتاه بودن چرخه‌ی عمر اغلب فناوری‌ها معطوف به شرایط رقابت‌پذیری صنایع بزرگ و کوچک شده است، تنها مسیر حضور موفقیت‌آمیز صنایع بزرگ و کوچک در عرصه‌های بین‌المللی، طی طریقِ نقشه‌ی راه علمی و نوین است. علی‌رغم دستیابی کشور بزرگ ایران به منابع لایزال الهی و قرار گرفتن در زمره کشورهای ثروت‌مند، متأسفانه در دسته‌ی «کشورهای مصرف کننده» قرار داریم. در مقابلِ «کشورهای مصرف کننده»، دو دسته‌ی دیگر «کشورهای با صنعت دانش‌بنیان» و «کشورهای صاحب فناوری» قرار دارند که اولین بخش از مبحث سودای صنعتی شدن، تبیین این سه گروه و دلایل قرار گرفتن جمهوری اسلامی ایران در دسته‌ی سوم است. در ادامه، ضمن تشریح گونه‌های مختلف تولید (اعم از تولید در یک واحد دانش بنیان، تولید در یک واحد صاحب فناوری، انتقال دانش فنی، مهندسی معکوس و در نهایت احداث خط تولید) سعی خواهد شد متناظر با شرایط کنونی کشور، راهکارهای پیشنهادی و عملی مناسبی به منظور تسریع در دستیابی به اهداف کلانِ سند چشم‌انداز و به ویژه‌ توسعه‌ی پایدار ارایه شود.


محمد حسن موحدی دارای لیسانس مهندسی برق گرایش الکترونیک از دانشگاه خواجه نصیرالدین طوسی، تهران و بالغ بر 27 سال سابقه کار در صنعت نفت، گاز و پتروشیمی در حوزه مهندسی کنترل و ابزاردقیق می‌باشد. وی بازنشسته صنعت نفت بوده و در حال حاضر مدیر مسئول مجله تازه‌های کنترل می‌باشد.

نامبرده دارای 18 سال سابقه فعالیت آموزشی در صنعت نفت بوده و بالغ بر 30 مقاله کاربردی در حوزه مهندسی کنترل و ابزاردقیق از ایشان در مجلات مختلف داخلی چاپ شده است.

از جمله تألیفات وی می‌توان به کتاب‌های زیر اشاره داشت:

· مقدمه‌ای بر کنترل صنعتی، چاپ کتابخانه مرکزی نفت – سال 1388

· اصول اندازه­گیری جریان سیالات، چاپ کتابخانه مرکزی نفت – زمستان 1391

· اندازه‌گیری و محاسبه جریان سیالات (Metering)، اسفند 1394

کتاب‌های در دست نگارش و تدوین:

· مبانی اندازه‌گیری و کالیبراسیون (مراحل نهایی و آماده چاپ)

· کنترل صنعتی مدرن، سامانه‌های کنترل مبتنی بر فیلدباس

· تحلیل و مطالعات ایمنی در واحدهای فرآیندی مخاطره‌آمیز



Professor Riccardo Scattolini
professor of Automatic Control
Politecnico di Milano
Topic of speech: Smart grid challenges
Abstract of speech:

The growing concerns about carbon emissions, the widespread availability of distributed generators based on renewables such as solar and wind, and the increasing energy demand are producing a revolution in the design of electricity grids, which require a more efficient and smart management allowing two-ways flows for both power and information. New technological solutions are needed to efficiently coordinate distributed generators, storages and flexible loads providing demand response and ancillary services. However, this brings additional complexities implying that the electrical grid must be operated by several communicating control structures which, at different time scales, must ensure a reliable, cost effective and secure overall system coordination. As many studies advocate, a promising and realistic solution is to decompose traditional grids in a framework of several active and self-controlled microgrids which can act as flexible energy consumers, as well as energy providers giving their support to the overall grid system.

The talk will deal with some of the many issues raised by these new scenarios, concerning the control of medium voltage smart grids and the optimal management of microgrids. In particular, specific attention will be paid on the design of control systems for microgrids operated in grid-connected mode. It will be shown how the Model Predictive Control (MPC) approach is a suitable tool to design hierarchical control structures which, at different time scales, are able to use weather and loads absorption forecasts in order to guarantee power flows, voltage and frequency regulation, and to ensure the optimal management also from an economic perspective.



Riccardo Scattolini was born in Milano, Italy, in 1956. He received the Laurea (Master) degree in electronic engineering from the Politecnico di Milano, Italy, in 1979. He is Professor of automatic control with the Politecnico di Milano. From 1984 to 1985, he was a Visiting Researcher at the Department of Engineering Science, Oxford University, U.K. He also spent one year working in industry on the simulation and control of chemical plants. His current research interests include modeling, identification, simulation and control of industrial plants, distribution networks, and electricity networks, with emphasis on the theory and application of model predictive control. Prof. Scattolini received the Heaviside Premium from the Institution of Electrical Engineers, U.K., in 1991 and many national awards. He is currently Associate Editor of the IFAC journal Automatica.


Dr. Arsalan safari
Assistant Professor in Qatar University, Center for Entrepreneurship

Topic of speech: Innovation, Entrepreneurship in Electrical & Control Engineering

:Abstract of speech

· Overview (innovation and entrepreneurship)

· Goals of engineering, electrical and control engineering education

· Research, idea generation, new ideas/problem solutions

· Invention and innovation

· PART I: Innovation management in electrical engineering

· Moving from innovation to entrepreneurship

· Growth and expansion of your technology-based start up

· Existing ecosystem and support for electrical engineering entrepreneurs

· PART II: Embedding entrepreneurial mindset in engineering education

· MIT approach for developing entrepreneurial mindset

· Key elements of entrep. mindset

· Entrepreneurial education – a simple process model

· Some solutions for applying entrep. mindset in curriculum

· Proposed rubric for evaluating facilitation/delivery of entrap. education

· Questions and answers


Arsalan Safari is currently an Assistant Professor in Qatar University, Center for Entrepreneurship. His research interests include worldwide innovation, entrepreneurship and operations management, and he has conducted various research projects in this field. He has completed his postdoctoral program at MIT, Sociotechnical Systems Research Center in USA where he focused on innovation, enterprise architecture and transformation.

He received his Ph.D. in management sciences from the University of Waterloo, Canada and his Master of engineering in design and manufacturing from the University of Western Ontario (Western University), Canada. He holds a bachelor of sciences in industrial engineering, and he is a Certified Six Sigma Black Belt from American Society for Quality (ASQ). Dr. Safari worked for nearly six years in the banking industry in senior levels in Canada. His last position in the bank was a Manager of Business Analytics in Operations Strategy and Effectiveness Group in RBC Financial Group (Royal Bank of Canada). He is the recipient of two RBC enterprise awards for developing “Client Experience and Innovations” and “Business Process Simulation Strategy & Standards” in 2009 and 2011 respectively.