Education, research and development in the field of IT and Robotics
World-class IT education in Russia in English
Innopolis University has 17 laboratories and 9 research centers, which conduct research in the field of artificial intelligence, robotics, big data, software development, information security
The university’s project-based activities are aimed at implementing grant-based and commercial projects, as well as at enhancing the availability of education in IT areas.
Education, research and development in the field of IT and Robotics
Full Professor, Dean, Head of Center of Academic and International cooperation
Lab of Software and Service Engineering
ReadPhD, University of Bologna, Italy, Full Professor, Dean , Head of Center of Academic and International cooperation
Country:
Italy
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.
Associate Professor, Director of Institute, Institute of Software Development and Engineering
Lab of Industrializing Software Production; Head, Lab of Natural Language Processing Methods in Software Engineering
ReadPhD, Kazan Federal University, Russia, Associate Professor, Director of Institute, Institute of Software Development and Engineering, Lab of Industrial Production of 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".
Associate Professor, Institute of Software Development and Engineering
Lab of Industrializing Software Production
ReadPhD, Sorbonne University, France, Associate Professor, Institute of Software Development and Engineering, Lab of Industrial Production of Software
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.
Senior Professor of Practice, Institute of Software Development and Engineering
Head, Lab of programming languages and compilers
ReadPhD, Moscow State University, Russia, Senior Professor of Practice, Institute of Software Development and Engineering, Head of the Lab of programming languages and compilers construction
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.
Assistant Professor, Institute of Software Development and Engineering
Lab of Artificial Intelligence in Game Development
ReadPhD, Moscow Institute of Physics and Technology (Russia), Assistant Professor, Institute of Software Development and Engineering, Lab of Artificial Intelligence in Game Development
Education:
Moscow Institute of Physics and Technology (Russia)
University of Texas at Austin (USA)
Dr. Andrey Zykov received his M.S. degree in Electrical Engineering from Moscow Institute of Physics and Technology (Russia) in 1999, PhD degree in Electrical and Computer Engineering from The University of Texas at Austin (USA) in 2009. Dr. Zykov worked in R&D department of the company Cadence Design Systems (2010 – 2013) in the area of Electronic Design Automation (EDA). Fall semester 2014 Dr. Zykov spent in the Carnegie Mellon University (USA) performing training in teaching “Master of science in information technology: software engineering” (MSIT-SE). He held the position of Assistant Professor at Innopolis University (2015 – 2016) teaching courses for MSIT-SE program. Dr. Zykov has significant experience in R&D in Computer Engineering domain in an international context.
Associate Professor, Institute of Software Development and Engineering
Head, Lab of Software and Service Engineering
ReadPhD, Novosibirsk State University, Russia, Associate Professor, Institute of Software Development and Engineering, Head of Lab of Software and Service Engineering
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.
Associate Professor, Head of Lab
Institute of Software Development and Engineering, Lab of Cyberphysical Systems
ReadPhD, Peter the Great St. Petersburg Polytechnic University, Russia , Associate Professor, Head of Lab, Institute of Software Development and Engineering, Lab of Cyberphysical Systems
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.
Assistant Professor , Institute of Information security
Lab of Cloud Systems and Virtualization
ReadPhD, University of Porto, Portugal, Assistant Professor , Institute of Information security , Lab of Cloud Systems and Virtualization
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
Full Professor, Insitute of Data Science and Artificial intelligence
Head, Lab of Machine Learning and Knowledge Representation
ReadPhD , Kyung Hee University, South Korea, Full Professor, Insitute of Data Science and Artificial intelligence, Head, Lab of Machine Learning and Knowledge Representation
Education:
Computer Engineering
Adil Mehmood Khan is a Professor of Machine Learning and the Director of the Machine Learning and Knowledge Representation Lab. Possessing a solid foundation in Machine Learning, Deep Learning, and Representation Learning, he is devoted to both education and research within the artificial intelligence domain.
Adil's research journey started in 2006 in South Korea, where he concentrated on human activity recognition through wearable sensors. His groundbreaking discoveries were published in reputable journals and employed by leading technology firms for their health applications. Over his career, Adil has undertaken more than ten research projects, obtaining substantial funding, and has published in excess of 80 research papers. He has mentored four Ph.D. and over 20 MS students to completion and maintains active research collaborations with numerous international universities.
As an educator, Adil has instructed a diverse array of computer science courses at both undergraduate and graduate levels. Acknowledged for his exceptional teaching abilities, Adil has been awarded the Best Teacher Award twice. Adil has also contributed as an academic consultant, creating and delivering specialized graduate online machine learning courses for various universities throughout the globe. His courses have consistently garnered praise from students and colleagues alike.
As Associate Dean of Education and the Director of the Institute of Data Science & Artificial Intelligence at Innopolis University, Adil has overseen multiple facets of the educational process, such as admissions, curriculum design, course execution, and student internships. Moreover, as the Institute's Director, he has lead a team of faculty and staff, managed research budgets, and collaborated with various committees to guarantee top-notch education and research opportunities for students.
Full Professor, Institute of Data Science and Artificial intelligence
Head, Laboratory of Data Analysis and Bioinformatics
ReadDoctor of Sciences (Habilitation), MIPT, Russia, Full Professor, Institute of Data Science and Artificial intelligence, Head, Laboratory of Data Analysis and Bioinformatics
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 50 research works published in peer-reviewed journals, and owns 17 state registration certificates of computer programs. Yaroslav is a member of review committees of the following journals: Mathematical Modeling; Computer Research and Modeling.
Master of Education in English Language, University of Exeter, College of St. Mark and St. John, Plymouth, UK, Instructor, Institute of Human and Social sciences, Lab of Humanities
Education:
Teaching in Higher Education
Rabab Marouf has had more than 15 years’ experience in Teaching English for general, specific, and academic purposes at Damascus University, the Open Learning System, and the Syrian Virtual University in Syria. Her job involves tailoring and developing materials to meet students’ needs in computer science and proofreading students theses and research articles. She has worked as a reviewer of English language teaching and learning materials from Cambridge and Oxford University Press. She holds a BA in English Literature, a 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, UK.
Professor, PhD
Education:
University of British Columbia (UBC)
Nikola Zlatanov was born in Macedonia. He received his Dipl.Ing. and Master degrees in electrical engineering fr om Ss. Cyril and Methodius University, Skopje, Macedonia in 2007 and 2010, respectively, and his PhD degree from the University of British Columbia (UBC) in Vancouver, Canada in 2015. Immediately after his PhD, he became a Lecturer (US equivalent to Assistant Professor) in the Department of Electrical and Computer Systems Engineering at Monash University in Melbourne, Australia, wh ere he was promoted to Senior Lecturer in 2020. Since 2022, Dr Zlatanov has been a Professor at Innopolis University, Russia.
His current research interests include machine learning and wireless communications.
Dr. Zlatanov received several scholarships/awards/grants for his work including UBC's Four Year Doctoral Fellowship in 2010, UBC's Killam Doctoral Scholarship and Macedonia's Young Scientist of the Year in 2011, the Vanier Canada Graduate Scholarship in 2012, best journal paper award from the German Information Technology Society (ITG) in 2014, best conference paper award at ICNC in 2016, and ARC Discovery Early Career Researcher Award (DECRA) in 2018.
Dr. Zlatanov served as an Editor of IEEE Communications Letters in the period 2015-2018, and as an Editor of IEEE Wireless Communications Letters 2020-2023.
PhD, Professor , Institute of Humanities and Social Sciences, Human Machine Interaction Lab
Education:
Kazan Federal University
Artur Karimov has PhD in philosophy (2002) and in 2018 has received Habilitation (doctoral) degree in philosophy from Kazan Federal University. Since 2019 he is the Head of the Department of Social Philosophy at KFU. Since 2020 - Professor of the Human Machine Interaction Lab at Innopolis University. The sphere of Dr. Karimov's scientific interests includes the problems of modern epistemology and ethics.
Master of Governance of Science and Innovation, National Research University Higher School of Economics, Institute of Human and Social sciences, Lab of Humanities
Education:
National Research University Higher School of Economics
Alena Protasova is the founder of a research agency for startups startupfairy.ru/eng, Master of Governance of Science and Innovation graduated from the Higher School of Economics, an expert in startup market sizing with experience in corporate accelerators of Yandex and VEB.Innovation, as well as a person who began to develop the student startup community at Innopolis University back in 2016.
PhD, Bashkir State University, Russia, Assistant Professor, Head of Lab, Institute of Humanities and Social Sciences, Lab of Social Sciences
Education:
Bashkir State University
Ruslan Saduov holds a cum laude degree in Philology, Teaching, and Translation from Bashkir State University. Previously, taught at Bashkir State University and held a position of Director of Fundamental Applied Linguistics Program. Designed and implemented courses such as academic writing, public speaking, forensic linguistics, translation praxeology. Candidate of Philology with a focus on linguistic landscape, multimodal texts, political and media linguistics, communication studies, and translation criticism. Authored and edited over 100 publications. Managed several grant projects (Russian Fundamental Research Grant, Russian Presidential Grant, Kostomarov Grant). Provider of translation and interpretation (simultaneous and consecutive) services.
PhD, Southwest State University, Russia, Assistant Professor, Institute of Robotics and Computer Vision
Country:
Belarus
Education:
Southwest State University, Russia
Direction:
Automation and control of technological processes and production
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.
Associate Professor, Insitute of Data Science and Artificial intelligence
Lab of Machine Learning and Knowledge Representation
ReadPhD, Voronezh State University, Russia, Associate Professor, Insitute of Data Science and Artificial intelligence, Lab of Machine Learning and Knowledge Representation
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".
Associate Professor, Institute of Humanities and Social Sciences
Lab of Social Sciences
ReadPhD, Bashkir State University, Russia, Associate Professor, Institute of Humanities and Social Sciences, Lab of Social Sciences
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.
Associate Professor, Institute of Data Science and Artificial Intelligence
Lab of High Performance Computing
ReadPhD, Kazan Federal University, Associate Professor, Institute of Data Science and Artificial Intelligence
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.
Full Professor, Institute of Data Science and Artificial Intelligence
Faculty of Computer Science and Engineering
ReadFull Professor, Institute of Data Science and Artificial Intelligence, Faculty of Computer Science and Engineering
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.
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