Academic staff

• 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.

• 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:

  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 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

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.

• 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:

  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.

• 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.

• 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.

• Education:

  Yeungnam University

Shinnazar received his master’s and Ph.D. degrees in Information and Communication Engineering fr om Yeungnam University, South Korea, in 2014 and 2018, respectively. Afterwards, he was in industry, wh ere he worked on building a wireless indoor localization system. From 2019 to 2021, he was with the Department of Computer Science and Engineering of Seoul National University as a Postdoctoral Research Fellow. His research interests include, but not limited to, wireless and wired systems and networks, distributed systems, and machine learning.

Mirko (PhD, Sydney; MPhil, Edinburgh; MSc and BA, Milan) is an Associate Professor of Philosophy and Computer Science and Head of the Human Machine Interaction Lab at Innopolis University. He is a Member of the Association for Computing Machinery (2022-), a Honorary Member of the Lab for Industrializing Software Production (LIPS) in the Faculty of Computer Science and Engineering at Innopolis University (2021-), an Expert Member of the UNESCO Inclusive Policy Lab (2021-), and Contributing Member of the Astana Club (2022-).

He was a Member of Task Force 1 on Global Health and Covid 19, at G20, 2021, a Senior Research Fellow (2021-2018) at Saint Petersburg State University, an Assistant Professor of Philosophy at Innopolis University (2022-2020) and at Nazarbayev University (2020-2019), a Honorary Research Fellow (2019-2021) and a British Academy Postdoctoral Fellow (2019-2016) in the Department of Philosophy at King's College London , and a visiting scholar (2017) at the National Research University Higher School of Economics (HSE) in Moscow. He was also visiting fellow at Aarhus University, and at Ruhr University Bochum.

Over his career, A/Prof Farina received over USD1 Million in research funding. A/Prof Farina has over 65 peer-reviewed publications with many articles in top-tier (Q1) journals (in both philosophy and computer science) and several chapters in prestigious edited collections (e.g. Oxford University Press, MIT Press, Routledge, Springer Nature). During his career A/Prof Farina delivered more than 75 talks at international conferences. A/Prof Farina is currently co-editing two books on expertise (one with Duncan Pritchard and Andrea Lavazza)- invited by- Oxford University Press; the second for Routledge. He is also co-editing two Special Issues on distributed cognition for Cognition, Technology & Work and Frontiers in PsychologyPersonal Webpage: https://mirkofarina.weebly.com/

• 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.

• 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.

• Education:

  Bashkir State University

Ruslan Saduov holds a cum laude degree in Philology, Teaching, and Translation from Bashkir State University. He spent a semester in the USA as a holder of prestigious Fulbright scholarship (2014-15) and then taught at Matej Bel University (Slovakia) in 2016 and 2018 as a fellow of the Slovak National Scholarship. For a decade, Ruslan Saduov has taught a number of academic courses at Bashkir State University: Academic Writing, Public Speaking, Business Communication, Forensic Linguistics, Translation, etc. He was a major designer and director of a Fundamental and Applied Linguistics Program. His research areas include multimodal texts (Russian comics), linguistic and cultural landscape, political and media linguistics, cross-cultural communication, translation criticism. Ruslan Saduov is an author of over 90 scholarly publications. Since 2008, he has provided professional translation and interpretation services as a consecutive and simultaneous conference interpreter. Direction: Political linguistics, social linguistics, comics studies, translation studies.

• Country:

  Russia

• Education:

  Linguistics and Intercultural Communication PhD, Bauman State Technical University, Russia, Lab of Human sciences

Sergei Kladko graduated with honors in Linguistics and Intercultural Communication from Moscow State Linguistic University in 1997 and obtained his Ph.D. in Social Philosophy from Moscow State Linguistic University/Bauman Moscow State Technical University in 2000. He also holds a bachelor degree in Jurisprudence (State Law) from Moscow State Academy of Law (2009). Sergei started his career as an Assistant Teacher at Monmouth School (Wales, UK) and then taught English both for universities and for multinational companies. In 2004 -2010 he worked in the sphere of admission counseling (TOEFL and GMAT (Verbal), essay coaching, and mock interviews), preparing applicants to enter leading business schools and schools of law in the United States and Western Europe. His practical experience in cross-cultural communication also includes marketing communication activities for IPO (AIM) at London Stock Exchange, PR and cross-cultural adaptation of projects in e-education and capital development, and effective cross-cultural facilitation to international managers during their collaboration. Today his scope of interests includes the methods of effective instruction of business, academic, and technical communication and cross-cultural management. Sergei is a member of the International Association for Dialogue Analysis and an active participant of international conferences in Russia and abroad.

• 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.

• 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 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. Jean-Michel Bruel and Prof. Dr. Bertrand Meyer. Alexandr is a certified Instructional Skills Workshop Facilitator. He has also taken the Teaching Excellence Program training from iCarnegie Global Learning. Alexandr currently works as an Assistant Professor for the Institute of Information Security and Cyberphysical Systems at Innopolis University. His research focuses on seamless construction of secure software systems. Alexandr actively participates in research projects of the University with its industrial partners.
Email: a.naumchev@innopolis.ru
dblp: 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:

  Russia

• Education:

  Ural Federal 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.

• Country:

  Great Britain

• Education:

  The University of Sheffield, Great Britain

• Direction:

  informatics

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.

• Country:

  Germany

• Education:

  Delft University of Technology, Germany

• Direction:

  design of media-system

Sebastian Denef received his PhD in design from Delft University of Technology (TU Delft), Netherlands. He graduated from Darmstad University of Applied Sciences, Germany. He specializes in design of media-system, he was a scholar of the German National Academic Foundation. Sebastian Denef has many publications in international journals and materials of scientific conference.

• Country:

  Canada

• Education:

  Concordia University, Canada

• Direction:

  computer science

Mohamad Kassab is a double winner of honorary award in teaching in Concordia University. He assisted several students and PhD students during the research projects. Teaching methods that he usually uses depend on teaching goals. Mohamad Kassab often uses wide range of training strategies in personal interviews, including analazying thematic research, debate, role playing, simulation exercises, group projects and exercises which are based on problem solving. 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.

• Country:

  Germany

• Education:

  Technical University Darmstadt, Germany

• Direction:

  business management

Tatjana received her PhD 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.