Academic staff

• Education:

  Computer and Electrical Engineering

Giancarlo Succi holds a Laurea Degree in Electrical Engineering from the University of Genova, an M.Sc. in Computer Science from the State University of New York at Buffalo, and a PhD in Computer and Electrical Engineering again from the University of Genoa, Italy (December 1993). He has passed the habilitation certification as professional engineering both in Italy and in Canada and he has consulted for several organizations worldwide. He has been a Professor at the Free University of Bolzano-Bozen, Italy, University of Alberta, Edmonton, Canada, University of Calgary, Canada holding also various administrative positions. Giancarlo Succi has taught a variety of academic and industrial courses throughout his career in Software Engineering, Programming Languages, and Mobile, Distributed, and Centralized Operating Systems. He has organized various international conferences and other scientific and educational events. His research interests are in empirical software engineering, open source, mobile and energy aware systems, software reuse, and software product lines. He is the author of 5 and editor of 12 books and over than 370 publications.

• Education:

  Computer Science

Manuel Mazzara achieved his Masters in 2002 and his Ph.D in 2006 at the University of Bologna. During 2000 he was a Technical Assistant at Computer Science Laboratories (Bologna, Italy). In 2003 he worked as Software Engineer at Microsoft (Redmond, USA). In 2004 and 2005 he worked as a free lance consultant and teacher in Italy. In 2006 Manuel Mazzara was an assistant professor at the University of Bolzano (Italy) and in 2007 a researcher and project manager at the Technical University of Vienna (Austria). From 2008 to 2012 Manuel worked in Newcastle University on the DEPLOY project. This project involved several partners Europe-wide with 4 of them coming from the most varied industrial scenarios: Bosch, Siemens, SAP and Space Finland. The objective was deploying software engineering techniques into the industrial process to guarantee stronger products reliability. In 2012 Manuel also served as a Computer Scientist at UNU-IIST in Macao while still being with Newcastle as a Visiting Researcher. Manuel worked on the automatization of the immunization process for third world countries and on e-health and sustainability projects related to the UN “Agenda 21”. In 2013/14 he also worked on remote assistance and telemedicine domotics tools with Polytechnic of Milan and as a teaching fellow at the same university before joining Innopolis and visiting ETH. </p> PhD and Postdocs: </p> Leonard Johard </p> Larisa Safina

• Education:

  Optical & Electronic Engineering

Ilya Afanasyev graduated in Engineering at Baltic State Technical University (St. Petersburg, Russia) in 2000 and obtained his Ph.D. in Technical Science at Vavilov State Optical Institute (St. Petersburg, Russia) in 2006. In 2010-2013 he worked as a Marie Curie postdoc in Mechatronics Lab. at the University of Trento (Italy), conducting research on 3D sensors and data processing algorithms, co-supervising and teaching master students. He has also been engaged in national and international hardware projects both for academy and industry in the region of sensor applications for aerospace, banking, robotics and oilfield service. His main research interests have revolved around sensors, data acquisition and processing, paying the attention to instrument development for R&D projects and industrial applications. He published 34 papers. He has academical experience at Vavilov State Optical Institute (2000-2007), the University of Trento (2010-2013) and TGT educational center “Prime College” (2013-2014), integrating research and supervising students, interns & employees of different nations, lecturing the courses on sensor/tool technologies and applications. He worked also in industry: (1) as a senior engineer in German company “Giesecke & Devrient GmbH” (2007-2010), developing banknote processing sensors and algorithms, and (2) as a head of Spectral Noise Logging dep. in Kazan office of the emirate company “TGT Oilfield Service” (2013-2015), improving acoustic borehole technology for Well Completion Integrity and Reservoir Flow Analysis, managing people, products & projects (hardware & software).

• Education:

  Physics and Mathematics

Vladimir Ivanov received his PhD degree in Physics and Mathematics from Kazan State University in 2009. He worked as a Researcher/ Assistant Professor at Kazan Federal University (2005-2013), Head of Big Data and Text Analytics Lab at Kazan Federal University (2013-2015) as well as a Researcher at Innopolis University (2015-2018). Dr. Ivanov`s research interests include data analysis, machine learning, software engineering, computational linguistics, natural language processing, information extraction, text mining, software reliability, and software metrics. Vladimir Ivanov is a primary instructor for undergraduate courses: "Advanced Statistics" and "Practical Machine Learning and Deep Learning".

• Education:

  Computer Science

Dr. Andrey Sadovykh received his M.S. degree in Applied Mathematics and Information Technologies from Moscow Institute of Physics and Technology (Russia) in 2001, PhD degree (Airbus company program) in Computer Science from Sorbonne University (France) in 2005 and MBA degree in Digital Business from HEC Paris School of Management (France) in 2014. Dr. Andrey Sadovykh was the Head of Research Unit at SOFTEAM (2006 – 2018), the 1st innovative SME in France and 3rd in the whole EU, which is recognized by Systematic Paris Region in mid-cap category. During his work he conducted research in applied model-driven engineering in 15+ projects, coordinated 5 projects, contributed to standardization with OMG, contributed to Modelio product development. Dr. Sadovykh has ten years` experience in research projects in IT in a cross-cultural international context and strong experience in R&D and software publishing. He successfully leads several international consortia in collaborative projects involving large industries, SMBs and academic partners.

• Education:

  Computer Science

  Moscow State University, Russia

Eugene Zouev graduated from the Computer Science Department of Moscow State University and got his doctoral degree (PhD) there in 1999. He worked in a number of research and development institutions,  at Moscow University and in some other universities and companies abroad. For many years, he gave lectures and did research at Moscow University and in several reputable European universities, such as ETH Zurich (2000-2006) and EPFL Lausanne (2009-2010). E. Zouev ran a number of successful research and industrial software projects in the area of programming languages and compilers (C++ and Zonnon compilers are among them). Currently, he is working as a principal engineer (Samsung range R7) at Samsung Research & Development Center, Moscow. E.Zouev also provides consultancy services for some companies and participates in a few research projects (in particular, at London Metropolitan University, England). He is the author of a number of books in the area of software development.

• Education:

  Theoretical Computer Science

Nikolay had research positions in A.P. Ershov Institute of Informatics Systems (Russian Academy of Sciences) and visiting teaching/research positions at Sydney University of Technology (Australia), Nazarbayev University (Kazakhstan), University of Canterbury, Christchurch (New Zealand), Korea Advanced Institute of Science and Technology, Chung-Ang University and Samsung Advanced technology Training Institute (South Korea). Since graduation Nikolay studies Theory of Programming and Applied Logic (in line with tradition founded by Andrey Ershov and Boris Trakhtenbrot). Currently his research interests are around foundations of Formal Methods and their application for analysis of program, information, distributed and multiagent systems.

• Education:

  Computer Engineering

Dr. Rasheed Hussain is an Associate Professor at the Institute of Information Security and Cyber-Physical System (CPS) and head of the Networks and Blockchain. He is also the head of masters program in Security and Network Engineering (SNE) at Innopolis University. Dr. Hussain received his PhD degree in Computer Engineering from Hanyang University, South Korea in February 2015. He worked as a Postdoctoral Research Fellow in Hanyang University, South Korea from March 2015 till August 2015. He also worked as a guest researcher and a consultant for Innopolis University in University of Amsterdam, Netherlands from August 2015 till May 2016. Furthermore, he worked as an Assistant Professor in the Institute of Information Security and Cyber-Physical System (CPS) and head of the masters program in Security and Network Engineering (SNE). He is ACM Distinguished Speaker (ADS) and a certified trainer for training the trainers for Instructional Skills Workshop (ISW). Dr. Hussain’s main research interests include information security and privacy, applied cryptography, security and privacy issues in Vehicular Ad hoc NETwork (VANET), cloud computing, VANET clouds, vehicular social network security, location-based services, smart grid security, Internet of Things (IoT) security, Big data security, wireless charging for electric vehicles, mobile social network security, content-centric networking and security, and blockchain technologies for constrained environments. He has authored and co-authored many papers in renowned national and international journals and conferences. His papers also won best paper awards several times. Moreover, he serves as Associate Editor for IEEE Access, IEEE Internet Initiative Newsletters, Internet Technology Letters (ITL) Wiley, and Ad Hoc & Sensors Wireless Network Journal. Furthermore, he also serves as reviewer for many journals from IEEE, Springer, Elsevier, and IET that include IEEE Sensors Journal, IEEE TVT, IEEE T-ITS, IEEE TIE, IEEE Comm. Magazine, Elsevier ADHOC, Elsevier JPDC, Elsevier VehCom, Springer WIRE, Springer JNSM, and many more. He also served as reviewer for renowned international conferences of repute including IEEE INFOCOM, IEEE GLOBECOM, IEEE VNC, IEEE ICC, IEEE PCCC, IEEE NoF, and so forth.

• Education:

  Computer Engineering

Dr. Ahsan Kazmi received his B.S. degree in Computer Science & Engineering from the University of Engineering and Technology, (UET) Lahore, Pakistan in 2008, MS degree in Communication System Engineering from National University of Science and Technology, (NUST) Islamabad, Pakistan in 2012, and PhD degree in Computer Engineering from Kyung Hee University, South Korea in 2017. He has also worked as a Postdoctoral Research Fellow in Kyung Hee University, South Korea from September 2017 till October 2018. He has authored and co-authored about 35 papers in renowned national and international journals and conferences. Moreover, he has received the best KHU Thesis Award in engineering in 2017 and several best paper awards from prestigious conferences. Dr. Kazmi`s main research interests include Resource allocation in 5G networks, Energy efficiency for 5G networks, Mobility management for 5G networks, Machine learning frameworks for 5G networks, Network slicing for 5G networks and Resource allocation for vehicular networks.

• Education:

  Robotics

Alexandr Klimchik received the Engineering and Master degree in automation control from Belarusian State University of Informatics and Radioelectronics (Belarus) in 2006 and 2007, respectively, Ph.D degrees in mechanical engineering (robotics) from the Ecole Centrale de Nantes (France) in 2011 From 2006 to 2008 Alexandr Klimchik was a Research assistant at Belarusian State University of Informatics and Radioelectronics. From 2008 to 2015 he was a Researcher at Ecole des Mines de Nantes (France) and was a member of robotic team in the Research Institute in Communications and Cybernetics of Nantes (IRCCyN, France). Alexandr is the author of more than 50 research papers. His paper published in “Mechanisms and Machine Theory” (2011, 46 (5), 662-679) is Top-2 sited papers in this journal (Top-5 international journal in mechanical engineering, Impact factor 1.66).

• Education:

  Mechanical Engineering

Igor Gaponov received his BS degree in Automation and Control from the Southwest State University, Russia in 2006 and his MS degree in Mechanical Engineering from Korea University of Technology and Education (KoreaTech) in 2008. In 2011, he received Ph. D. degrees from MSTU "Stankin" (Moscow, Russia, major: Robots, Mechatronics, and Robotic Systems") and KOREATECH (major: Mechanical Engineering) after graduating dual-degree doctorate program. He has served as an Assistant Professor at the School of Mechanical Engineering, KoreaTech between 2011 and 2019. Dr. Gaponov has served on program committees of major international conferences and events, including ICRA and IROS. His research interests include nonlinear control theory, exoskeletons and assistive devices, system dynamics, and novel actuators.

• Education:

  Mechanical Engineering

Dr. Mohammad Reza Bahrami received his B.S. degree in Mechanical Engineering from Shahid Bahonar-e-Kerman University, Iran in 2005, MS degree in Mechatronics Engineering from Sharif University of Technology, International Campus, Kish Island, Iran in 2010 and PhD degree in Mechanical Engineering from Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia in 2016. Dr. Bahrami was awarded the Grant for working as university teacher, Program 5-100, Peter the Great St. Petersburg Polytechnic University (in 2016, 2017 and 2018) and Grant for PhD students, Program 5-100, Peter the Great St. Petersburg Polytechnic University (in 2014 and 2015). He worked as an Assistant professor at Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia (in 2016-2018), as Visiting professor at ERASMUS +, Aleksandras Stulginskis University, Lithuania (in 2016-2017). Dr. Bahrami`s teaching experience includes the subjects such as Contact Mechanics, System Modeling Using Bond-Graph, Modeling of Contact Mechanics.

• Education:

  Computer Engineering

Muhammad Fahim earned his Ph.D. from Department of Computer Engineering, Kyung Hee University, South Korea, in 2014, got Master’s degree in Computer Science, specialized in Machine Learning from National University of Computer and Emerging Sciences, Pakistan, in 2009, and obtained Undergraduate degree in Computer Science with distinction “Gold-medalist” from Gomal University, Pakistan, in 2007. He worked as Post-Doctoral research scientist at Ubiquitous Computing Lab, Kyung Hee University, South Korea. He also served as an Assistant Professor in Department of Computer Engineering at Istanbul Sabahattin Zaim University, Istanbul, Turkey and led machine learning research lab for three years. He also worked with Smart Environment Research Group (SERG), University of Ulster, UK and Tecnalia Research and Innovations, Health division, San Sabastian, Spain. Dr. Fahim research work, comprising over 30 articles, published in various international conferences, journals, book chapter and patent. He is also providing professional services that includes invited talks, seminars, member of technical program committees for international conference, and refereed for journal papers. His research interests include mobile and wearable computing, ubiquitous computing with artificial intelligence for wellness, u-lifecare and sports applications. He particularly interested in human-aware computing, behavior and context mining in smart environments. He also contributed in several research projects including uLCR: East-West Neo Medical u-Lifecare IT Research Center (funded by Ministry of Knowledge Economy, Korea), MiningMinds: Development of Personal Big Data Analysis Platform and Core Technologies (funded by Ministry of Industry and Commerce, South Korea), ATHENA: Acivity-awareness for Human Engaged Wellness Application and Holodigilog Human Media Research Center at Kwangwoon University, Seoul, South Korea.

• Education:

  Computer Science

Alma Oracevic obtained her electrical engineer degree from the University of Bihac, Faculty of Technical Science, March 2009. The same year she was enrolled as a teaching assistant at the Faculty of Technical Science, Electrical Engineering Department, University of Bihac. Alma Oracevic received the Ph.D. degree in University of Zagreb, Croatia, Faculty of Electrical Engineering and Computing, in February 2016 under the supervision of Professor Dr. Mladen Kos (University of Zagreb, Croatia) and Professor Dr. Suat Ozdemir (Gazi University, Ankara, Turkey). During her Ph.D. she was focused in secure and reliable target tracking in wireless sensor networks and part of the research conducted in KAVEM laboratory, in Gazi University in Ankara, Turkey. In September 2016, she was enrolled as an Assistant professor at the Faculty of Technical Science, Electrical Engineering Department, University of Bihac. In December 2016, she received the Fulbright visiting scholar award for postdoctoral research at Georgia Institute of Technology, Atlanta, the USA. During this time, she was employed as a lecturer for the Telecommunication Department at the Georgia Institute of Technology and was an instructor for the course "Computer Networks" from March 2018 until the end of her Fulbright enrollment. Alma Oracevic conducted a postdoctoral research in the Broadband Wireless Networking Lab under the supervision of Professor Dr. Ian F. Akyildiz at the Georgia Institute of Technology, Her research was focused on the 5G networks Currently, she is enrolled as an Assistant professor at the Institute of Information security and cyberphysical systems, Innopolis University, Russian Federation.

• Education:

  Computer Science

Artem Burmyakov received the PhD degree in Computer Science from the University of Porto in 2016, and the Master's degree in Applied Mathematics and Informatics from Moscow Engineering Physics Institute in 2007. In 2006-2010 he worked as a software developer at CERN, and in 2016-2017 he was a postdoctoral researcher at Seoul National University. His research interests are related to mathematics and algorithms, real-time multiprocessor scheduling, parallel computations, software development

• Education:

  Computer Engineering

Dr. Adil Khan is a Professor of Computer Science in the School of Information and Computer Engineering, Ajou University, South Korea. He received his Ph.D. in Computer Engineering from Kyung Hee University, South Korea. He has over 8 years of experience in academic research and teaching. His primary research interests include machine learning, data analytics, data modeling, context-aware computing, context recognition by means of wearable and vision sensors, and human-aware mobile application development. His research work, comprising over 30 articles, is published in various international conferences and journals. He is also a reviewer for various IEEE, ACM, Elsevier and other international journals. Dr. Khan has contributed to various research projects: Context-Aware Middleware System for Ubiquitous Systems (funded by Ministry of Commerce, Industry, and Energy, Korea), Ontology-based text Mining for eHealth Data (funded by Microsoft Research Asia), East-West Neo Medical u-Life Care IT Research Center (funded by Ministry of Knowledge Economy, Korea), and Mining Minds Core Technology Exploiting Personal Big Data (funded by Ministry of Trade, Industry and Energy, Korea). He is also assisting a Korean company in designing lightweight machine learning algorithms for their power-efficient low-cost physical activity trackers. He is the co-leader of the UbiLife Research Group and a member of the Knowledge-intensive Software Engineering Research Group at Ajou University.

• Education:

  Higher mathematics

Dr. Sergey Gorodetskiy received his PhD degree from MIPT in December 2009. Dr. Sergey Gorodetskiy is an Associate Professor at the department of higher mathematics at Moscow Institute of Physics and Technology (MIPT). He has vast experience (almost 12 years) of teaching mathematics at the university. Subjects taught include analytic geometry, linear algebra, calculus, differential equations, complex analysis, partial differential equations, probability theory and mathematical statistics.

• Education:

  Computer Science, University of Guelph, Canada

Joseph Alexander Brown obtained his Ph.D. in Computer Science from the University of Guelph, Ontario, Canada. He completed both his M.Sc. and B.Sc. (Hons) at Brock University, St. Catharines, Ontario, Canada. He has worked for Magna International, the third largest automotive parts manufacturer in the world. He also holds an adjunct professorship at Brock University in the Department of Computer Science. His research interests include biologically inspired computational intelligence, machine learning, game theory, and games design. He has over thirty-five peer-reviewed publications including in the IEEE Trans. on Computational Intelligence and AI in Games. He acts on a number of conference committees for the IEEE.

• Education:

  Applied Mathematics and Physics

From 2001 Yaroslav Kholodov had been a senior lecturer at the Department of Computational Mathematics of the Moscow Institute of Physics and Technology (MIPT). In 2007, he became an Associate Professor. During 2009-2012 Yaroslav Kholodov had been a Chairman of the Organizing Board of the Annual MIPT School in High-Performance Computing for Young Scholars. During 2010-2012 Yaroslav had been the Head of the MIPT research and educational center “High-Performance Computing and Distributed Computer Systems”. Yaroslav gave lectures at the Department of Computational Mathematics of MIPT on the following topics: Computational Mathematics Non-Linear Computing Numerical Modeling of Traffic Flows Dynamics Yaroslav co-authored 3 study guides and one book. 4 post-graduate students of MIPT received PhDs in Mathematical Modeling, Numerical Methods and Software Complexes under his scientific supervision. Over 25 MIPT students received Master and Bachelor’s degrees in Applied Computing and Software Complexes. Key research area is represented by intelligent analysis of traffic data and road traffic modeling using adaptive control algorithms. Today safe and effective operation of intelligent traffic control systems requires tools for acquisition and analysis of data about current traffic conditions. Assimilation of large data volumes regarding road traffic received from different sources is among the top areas of this research since it allows to enhance the accuracy of data mining by means of generalization of measurements using numerous approaches. Yaroslav Kholodov has authored over 35 research works published in peer-reviewed journals, and owns 15 state registration certificates of computer programs. Yaroslav is a member of review committees of the following journals: Mathematical Modeling; Computer Research and Modeling.

• Education:

  Teaching in Higher Education

Rabab Marouf has had more than 15 years’ experience in Teaching English for Specific (ESP) and Academic Purposes (EAP) at Damascus University, the Open Learning System, the Syrian Virtual University, other educational institutions in Syria, and currently at Innopolis University in Russia. Her job involves tailoring and developing materials to meet students’ needs in computer science. In addition, Rabab Marouf proofreads research and conference papers for computer science. She has worked as a reviewer of English language teaching and learning materials from Cambridge University Press and Oxford University Press. Rabab Marouf holds a BA in English Literature and postgraduate Diploma in Translation from Damascus University and a MEd Master of Education in Teaching English in Higher Education from Exeter University gained at the University of St. Mark and St. John, Plymouth, UK. University.

• Country:

  Россия

• Education:

  Specialist Degree, Novosibirsk State Pedagogical University, Russia

• Direction:

  Математическое моделирование, численные методы и комплексы программ

Guzel Fazlyeva earned her Specialist Degree (MA equivalent) (Hons) as a teacher of English from the Novosibirsk State Teacher Training University in 2000. From 2007 to 2014 Guzel worked as Director of Studies of a large private language school based in Ufa. In 2010 she received a degree in HR management from the Bashkir State Teacher Training University.She has been an IELTS and TOEFL tutor since 2010, and her IELTS Academic score is 8.5. 

• Country:

  Беларусь

• Education:

  Southwest State University, Russia

• Direction:

  Автоматизация и управление технологическими процессами и производствами

Sergei Savin has obtained a bachelor degree in Automation and Control and an engineering degree in Mechatronics at Southwest State University. He finished a postgraduate program in Dynamics and Reliability of Machines and Equipment and obtained a candidate of science degree in 2014. He currently holds positions of a Senior Researcher position at the Center for Technologies in Robotics and Mechatronics Components at Innopolis University and Associate Professor at the Institute of Robotics. His areas of interest include tensegrity robotics, walking robotics, in-pipe robots, optimal control, dynamics, variable stiffness actuators and machine learning. His current research is focused on compliant robotics and anthropomorphic bipedal robots. Until 2018 he worked as a Docent and Senior Researcher at the department of Mechanics, Mechatronics and Robotics at Southwest State University where he gave lectures on Mathematical Modelling in Mechatronics and Robotics, Information System in Mechatronics and Robotics and on Information System of Mobile Robots for bachelor and master student programs. He authored more than 100 papers and is a co-author of textbooks on applied simulation methods in Robotics. Worked on 11 funded projects, including grants from Russian Scientific Foundation, Russian Foundation for Basic Research and others; was the principle investigator of 6 funded projects, worth 24.8 million rubles (equivalent of $0.39 million). In a member of IEEE, an expert for the Foundation For Assistance To Small Innovative Enterprises (Russia). Speaks English and Russian, understands German. Profiles: ResearchGate, ORCID, LinkedIn, Scopus, Google Scholar. About Innopolis City Team Faculty Positions Academic staff Annual Report 2018 IN THE SPOTLIGHT Innopolis University  Subscribe

• Country:

  Russia

• Education:

  PhD, Voronezh State University, Russia

Stanislav Protasov graduated from Computer Science department of Voronezh State University in 2009 and defended PhD thesis 2013. Since 2007 Stanislav worked as a software developer at DataArt, DHL, Parallels and Yandex. He was also lecturing at leading Russian universities: HSE, MIPT and Skoltech. Since 2019 he is a visiting professor at Harbour.Space university (Bacelona). Stanislav is now an assistant professor at machine learning and knowledge representation lab of Innopolis University. His works in machine learning, computer vision, data structures and high-performance computing. He authored a book "Let me explain: why programmer needs math".

• Country:

  РФ

• Education:

  PhD, University of Nottingham, Great Britain

Luiz Jonata Pires de Araujo received his PhD in Computer Science at the University of Nottingham (UK), he is a member of the Automated Scheduling, optimisAtion and Planning(ASAP) research group. Currently, He works as an Assistant Professorat Innopolis University, Russian Federation, in the Lab of Machine Learning and Knowledge Representation. His research interests include optimisation, evolutionary algorithms, cutting and packing, three-dimensional irregular packing in 3D Printing applications. More than 15 years of experience working in the software development industry and work as Business Intelligence Analyst.

• Country:

  РФ

• Education:

  PhD, University of Toulouse, France

Alexandr graduated from the Department of Mechanics and Mathematics of the Novosibirsk State University in June 2008 with a specialist degree. He received a Master of Science in Information Technology (Software Engineering) degree from the Carnegie Mellon University in August 2014. In July 2019 Alexandr defended his Ph.D. thesis in the University of Toulouse under a double supervision of Prof. Dr. Bertrand Meyer and Prof. Dr. Jean-Michel Bruel. Alexandr currently works as an Assistant Professor for the Lab of Software and Service Engineering at Innopolis University. His research focuses on seamless construction of reliable software systems. He teaches master's level courses in software engineering, such as "Requirements Engineering" and "Models of Software Systems". Alexandr also participates as a research engineer in industrial projects related to development of cutting edge operating systems lead by Dr. Alexander Tormasov. Alexandr is a certified Instructional Skills Workshop Facilitator. He has also finished the Teaching Excellence Program training from iCarnegie Global Learning. Email: a.naumchev@innopolis.rudblp: https://dblp.uni-trier.de/pers/hd/n/Naumchev:Alexandr Web of Science: https://publons.com/researcher/1472116/alexandr-naumchev/  Scopus: https://www.scopus.com/authid/detail.uri?authorId=57190306849

• Country:

  РФ

• Education:

  PhD, Delft University of Technology, Netherlands

• Country:

  РФ

• Education:

  PhD, Ural State Forest Engineering University , Russia

Artem Kruglov is an assistant lecturer of Faculty of Computer Science and Software Engineering at Innopolis University. He graduated from Ural Federal University in 2013, and got his PhD in 2017 on the topic related to the of image processing and machine vision system development. In 2019 he became a certified Project Management Professional (by PMI). He is working in the industry since 2010, being a director of IT company focused on machine vision systems development. His professional competencies related to the project management, software development process and image processing areas. He is an author of more than 40 publications and 2 patents At the moment, Artem Kruglov is teaching such academic and industrial courses as Architecture of Software Systems, Software Project Management, Requirements Engineering, and Metrics and Empirical Methods. He is also responsible for organizing several scientific conferences and managing R&D projects in the Lab of Industrial Production of Software.

• Country:

  Russia

• Direction:

  Linguistics, technical translation

Georgy V. Gelvanovsky is a PhD in comparative linguistics and a Member of American Association of Teachers of English to Speakers of Other Languages (TESOL). He has been teaching Business English and English for Specific Purposes for 21 years overall, of which 16 years were at university level. During his university employment, Dr. Gelvanovsky, among other things, taught such courses as: Business Correspondence in English, Understanding Contracts in English, Telephone Conversation in English, Effective Presentations in English, Effective Meetings in English Dr. Gelvanovsky holds a Certificate of Honor issued by the Russian Federation Ministry of Education and Science for the successful contribution into training business specialists. He also trained a team of students which won the second place in All-Russia English Competition for International Business Students. Dr. Gelvanovsky spent 11 months in the USA within the Junior Faculty Development Program (JFDP) majoring in applied linguistics. Dr. Gelvanovsky has extensive translation experience in oil-and-gas sphere. At Innopolis University, Dr. Gelvanovsky teaches English for Academic Purposes, Academic Writing and Research Culture, and English for PhD students. Dr. Gelvanovsky also offers writing consultations for students and faculty.

• Education:

  Mathematical modeling, numerical methods, software packages

Ivan Konyukhov graduated from the Applied Mathematics Department of the Institute of Computational Mathematics and Informational Technologies of Kazan (Volga region) Federal University (Russian Federation) in 2012 as mathematician and system programmer. In 2016 Ivan Konyukhov successfully defended his PhD thesis in physics and mathematics by specialty 05.13.18 — mathematical modeling, numerical methods and software packages in Kazan Federal University (Russian Federation). Since 2010 he has been holding different positions in the scientific-production center LLC «NPC Nefte-Gaz» (Sarov, Russian Federation) and has been working on the development of software packages aimed at improving of the oil production technologies. From 2012 to 2016 he worked as an assistant at the Applied Mathematics Department of Kazan (Volga region) Federal University (Russian Federation) and was engaged in scientific activities by the specialty and teaching different classes in mathematics and computer science. Since 2017 he has worked as a Researcher of Innopolis University and since January of 2019 he has been holding a position of a postdoctoral researcher of the laboratory of data analysis and machine learning in oil and gas industry. His field of scientific interests is mathematical and computer modeling of the oil fields penetrated by the systems of injecting and producing wells equipped with submersible centrifugal pumping units.

• Education:

  PhD,Università di Pisa, Italy

Paolo Ciancarini is Professor of Computer Science at the Univ. of Bologna. He has been Director of the School in Computer and Internet Sciences (both graduate and undergraduate). He is member of the PhD school in Informatics. His research interests include: software engineering, software architectures, formal methods, advanced Web technologies for groupware and digital documents, entertainment computing. He has been involved as a site leader in several projects funded by the European Commission. He is member of IFIP TC2 8Software) and TC16 (Entertainment Computing). He is member of ACM, IEEE, and ICGA (International Computer Games Association). He has published several books, more than 50 papers in International Journals and more than 120 papers in International Conferences and Workshops.

His other activities include being adjunct professor at Monash University in Melbourne, Australia (1998–2003) and membership of the French Academy of Technologies. He is also active as a consultant (object-oriented system design, architectural reviews, technology assessment), trainer in object technology and other software topics, and conference speaker. As former head of the ETH Computer Science department, he is one of the founders and the past president of Informatics Europe, the association of European computer science departments.

He co-authored the FP7 PHEME project on veracity in social media, and has lead production of successful tools for social media processing. Currently Co-Investigator on the H2020 COMRADES project, Dr. Derczynski also has a strong research community involvement record, organising workshops and evaluations such as W-NUT and a number of SemEval tasks, where he is also a chair. He has publish in high profile venues, including best paper at WEBIST'15 and founding the vision track at EDBT, and regularly delivers invited tutorials and talks.

Also Mohamad has wide industrial experience, e.g. he worked in such companies as “SAP AG”, “Nokia”, “Positron Public safety systems”, “TCC The Computer Center” etc.

Tatjana received her PhD in information science from Technical University Darmstadt, Germany. As a scholar of the German National Academic Foundation, she received a graduate degree in European Business Management from the University of Applied Sciences, Worms and studied International Business Administration at the University Iberoamericana, Mexico.