Open Dais
International
educational project
About the project

Open Dais - is an international educational project which goal is to give an opportunity to students from different countries to meet with IT and science world experts from all over the world. This project is an open community where everyone can listen to talks on modern and hot topics, find new friends, wider their horizonts and find inspiration learn, research and build a better a brighter world.

Initially started by COSM Laboratory from ITMO University, project found a warm feedback from different parts of the world and started to welcome new experts, who agreed to share their knowledge, experience and wisdom with those who just joined or will join soon IT and scientfic communities all over the world.

Open talks, which are perfromed in this program are available all over the world and anyone interested can join, watch on-line or check out the recordings for selected sessions. Each on-line session accepts up to 100 participants, that is why, for each session free space reservation is required.

Sessions tentative schedule is available below. At of now, lectures will start in the second half of february 2021.


Past Events
Participating universities
ITMO University
Russia
Chitkara University
India
UNISINOS
Brazil
Birla Institute
India
Belarusian SU
Republic of Belarus
Uttarakhand TU
India
If you are a university representative and would like to share your knowledge and wisdom with students from different parts the world, or you want your students to join this program and listen to interesting lectures from various countries, please, fill in the following form and we will get in touch with you soon.
Our speakers

Dr. Ashish Bagwari received B. Tech. (with Honors), M. Tech. (with Honors and Gold Medalist), and Ph.D. degrees in Electronics and Communication engineering in 2007, 2011, and 2016 respectively. He is currently working as a Head for the Department of Electronics and Communication Engineering at Women Institute of Technology (WIT) (Institute of State Government) Dehradun, Affiliating Institution of Uttarakhand Technical University (State Government Technical University), Dehradun, India. He has more than 12.0 years of experience in industry, academics, and research. He received the Best WIT Faculty award in 2013 and 2015 and Best Project Guide Award in 2015. Dr. Bagwari has been awarded by the Corps of Electrical and Mechanical Engineers Prize from the Institution of Engineers, India (IEI) in December 2015 for his research work and was named in Who’s Who in the World 2016 (33rdEdition), 2017 (34th Edition). Also, received Outstanding Scientist Award 2021 from VDGOOD Technology, Chennai, India in November 2021, and Dr. A.P.J. Abdul Kalam Life Time Achievement National Award 2022 from National Institute for Socio Economic Development (NISED), Bangalore, India in June 2022.

Mikalai Yatskou, Ph.D. is Associate Professor at the Faulty of Radiophysics and Computer Technologies, the Belarusian State University. Worked in scientific laboratories at the universities of Wageningen, Bern and Luxembourg. Research interests include computer modelling, data mining and bioinformatics. Lecturer at university courses in data mining, applied data analysis and bioinformatics.

Professor Igor Aleksandrovich Bessmertnyi. Graduated from the Riga Institute of Civil Aviation Engineers in 1976. Worked at Pulkovo Airport, where I was engaged in the automation of operational management of the airport services. In 1986, defended the PhD thesis - "Study of methods and development of tools for assessing and improving the efficiency of computer operation in the batch processing mode". Since 1985, senior researcher, senior lecturer, associate professor of the department of computer science. From 1995 to 2009 worked in parallel in the banking sector and in the field of retail trade.

In 2014, Defended doctoral thesis - "Methods and means for creating intelligent systems in production model of knowledge". Now. I am a Professor at the faculty of software engineering and computer science, deputy director on educational foresight of the School of computer technologies and control systems.

Jai is Vice President of Development, responsible for product strategy, development and operations of Blockchain and IoT Applications from Oracle. He is a digital transformation expert with a focus on applications of emerging technologies such as Blockchain, IoT and Machine Learning to modernize enterprise application environments such as Supply Chain Management, ERP and Customer Experience.

Jai has over 22 years of experience in various roles including product management, engineering management, technology leadership and software development for enterprise markets.

Jai holds an MS in Software Management from Carnegie Mellon University, and a BS in Instrumentation and Process Control from University of Pune. In 2016, Business Insider recognized Jai as one of 26 “rock-star engineers” driving change at Oracle. 

Rodrigo Simon Bavaresco is a Research Assistant at the Innovation Portal of the University of Vale do Rio dos Sinos (Unisinos), Brazil. In the same university, he received the MSc degree from the Applied Computing Graduate Program (PPGCA) in 2021. During the last ten years, he has participated in various Research & Development & Innovation projects as Software Engineer and Researcher. His research fields encompass ubiquitous computing, context awareness, and artificial intelligence focused on human care. Moreover, he is interested in researching highly scalable software and flexible architectures.
Ivan Perl, Ph.D. is working as Associate Professor with specialization in mathematical modelling and computation networks, at Software Engineering and Computer Systems Faculty in ITMO University. Focusing on design and development of open and free cloud-services for scientists and researchers. Research interests include computer modelling in gereral and especially system dynamics, complicated and complex systems, cloud services and BigData processing, Starting mid of 2019 became head of Cloud-Oriented Solutions and Modelling (COSM) laboratory. Founder of sdCloud project.
Dr. Jasminder Kaur Sandhu is working as Assistant Professor, Chitkara University Research and Innovation Network (CURIN), Chitkara University, Punjab. She is Ph.D. in Computer Science and Engineering from Thapar Institute of Engineering and Technology, Patiala. She completed her M.Tech (CSE) securing top merit position at Punjabi University, Patiala. She is having approximately 7.5 years of research and teaching experience. Her research interests include Machine Learning, Ensemble Modeling Artificial Intelligence, Soft Computing, Dependability Evaluation, Quality of Service, Wireless Sensor Networks, and Ad-Hoc Networks.
Jorge Luis Victória Barbosa received M.Sc. and Ph.D. in computer science from the Federal University of Rio Grande do Sul, Porto Alegre, Brazil. He conducted post-doctoral studies at Sungkyunkwan University (SKKU, Suwon, South Korea) and University of California Irvine (UCI, Irvine, USA). Jorge is a full professor at the Applied Computing Graduate Program (PPGCA) of the University of Vale do Rio dos Sinos (UNISINOS), head of the university’s Mobile Computing Lab (MOBILAB), and a researcher at the Brazilian Council for Scientific and Technological Development (CNPq). His research interests are Ubiquitous Computing, Ambient Intelligence, Big Data, Internet of Things (IoT), Machine Learning, Data Analysis, Games Development, Context Histories, Context Prediction mainly through similarity and pattern analysis, Applied Computing in Health, Accessibility, Learning, Industry and Agriculture. ORCID
Aleksandr Penskoi, Ph.D., is working as Associate Professor at Software Engineering and Computer Systems Faculty at ITMO University with a specialization in computational process modeling and computer system design. The primal research topics are multi-level computer systems, hard real-time reconfigurable application-specific processors (NITTA), and verification. He has experience in real-world development as an architect and software engineer, e.g., electricity measuring system for small towns with certification. GitHub
Dr. Bhadoria is currently working as an Associate Professor with Dept. of Computer Science & Engineering at Birla Institute of Applied Sciences, Bhimtal, Uttarakhand, India. He has more than 10 years of teaching working experience at different institutions within India. He has completed his Doctor of Philosophy (Ph.D.) in the Discipline of Computer Science & Engineering at Indian Institute of Technology (IIT) Indore, Madhya Pradesh, India. He has also finished his Master of Technology (M.Tech) and Bachelor of Engineering (B. Eng.) in Computer Science & Engineering from Rajiv Gandhi Technological University (RGTU) of Madhya Pradesh, India in the year 2011 and 2008 respectively. His area of interests are: Internet of Things, Big Data Analytics, Blockchain Technology, Wireless Sensor Networks, Data Mining.
We are looking for new participats :)
If you are representing IT industry, University or independent expert and have an interesting topict to share with those who will join industry soon, please, fill our talk proposal form
Tentative schedule

As of today, there is no precise schedule available. We are working a lot with all our respected presenters to prepare a comfortable plan for them and four listeners.

Meanwhile we are glad to share the list of topics we are going to deliver during first couple months of our program.


Dr. Ivan Perl

(ITMO University, COSM lab)

Complex systems any why do they fail
In this talk I'll try to cover key apects in understanding systems complexity and reasons why they may fail. We will follow a jouney that starts from Hegelian dialectics and up to modern works from Grady Booch, Evgeny Sedov and Richard I. Cook. At the end, I hope that listeners will fear less and understand more the meaning of the complixily and its dominating role in entire moden world.

Dr. Jasminder Sandhu

(Chitkara University)

Machine Learning for real-world problems.
In modern world we hear a lot about Machine Learning (ML) and Artificail Intelligence (AI). We see many funny and not videos called "Deep fake" and playing with mobile apps making funny things with application of ML and AI. Goal of this talk is to show how important these technologies are for solving real world problems and help people in many impotant areas, beside entertainment.

Dr. Jorge Luis Victória Barbosa

(UNISINOS)

Temporal Modeling in Context-aware Computing
Time is a strategic aspect when we model context-aware systems. Despite natural and consensual perception of time, the integrated modeling of its dimensions for the development of context-aware software is a recent research topic. Context Histories store the Past, Profile Management allows to model the Present and Context Prediction anticipates the Future. This talk addresses the modeling of these three temporal dimensions, indicates challenges for the treatment of each dimension and discusses a system architecture to manage the temporal aspects in context-aware computing. The following article is a reference to this talk.

Dr. Aleksandr Penskoi

(ITMO University)

Software Verification on the ASIP CAD Example or How to Trust Your Team and Yourself
The development of complicated software is always associated with many difficulties, problems, and errors. The quality verification process allows us to recognize many of these issues on their occurrence. The organization of automated and holistic verification is an important task for any software development. Especially, it is critical to a pet research project, which involves young specialists who are still learning the art of development. This report is focusing on verification problems and approaches used in the ongoing NITTA project. This project is dedicated to the development of CAD for hard-real time application-specific processors, which used a wide specter of technologies: Verilog (digital circuitry), Haskell (CAD itself), TypeSctipt (rich web application as UI), and in future Rust (control system) and Python (ML-based synthesis method). That raises the main question of the report: continuous integrity checking across different technologies and domains, including end-to-end automated software static typing, Properties-Based Testing, embedded Domain-Specific Languages, co-verification of tools, and target system software and hardware.

Dr. Robin Singh Bhadoria

(Birla Institute of Applied Sciences)

The Internet of Things: Challenges, Opportunities, and Services for Data Computation
The Internet of Things (IoT) has given new paradigm edge to industrial techie for new computation aspects for the data analytics services. This also provides new enthusiasm for the technology geeks who are willing to design & develop new horizons in the IoT based applications.

Rodrigo Simon Bavaresco

(UNISINOS)

Context-aware modeling for psychophysiology
The recent advances in digital technology (e.g., smartphones and wearables) and machine learning techniques can support human health through the addition of psychophysiology. This talk presents descriptions of a context-aware model to retrieve and analyze wearable and smartphone data toward psychophysiological insights. In this sense. the talk discusses aspects of data representation, agent-based modeling, and supervised classification for stress recognition.

Mikalai Yatskou, Ph.D.

(Belarusian State University)

Data Analysis in Complex Biomolecular Systems
The biomolecular technology progress is directly related to the development of effective methods and algorithms for processing a large amount of information obtained by modern high-throughput experimental equipment. An integrated approach based on the simulation modelling and machine learning algorithms to processing large datasets is proposed. It allows to determine the parameters of biophysical and optical processes occurring in complex biomolecular systems. The use of advanced analysis increases the efficiency of the study of biophysical systems during the analysis of big data.

Dr. Ashish Bagwari

(Uttarakhand Technical University, Dehradun, Uttarakhand, India)

5G Networks - Spectrum Sensing Technique
5G technology is the future of wireless communication, also known as cognitive radio network (CRN). The CRN is helpful to mitigate the bandwidth crises problem that is one of the major issues in the current wireless networks (3G, 4G). Cognitive radio performs four basic functions, such as spectrum sensing, spectrum decision, spectrum sharing, and spectrum mobility. For spectrum sensing, vacant bands of licensed users (LUs) are sensed by CR users. Now, we are presenting the fastest SS technique using two detectors i.e. ED_SAT (having a single threshold value) and ED_TAT (having two threshold values) perform sensing operations simultaneously. The final decision is taken by decision device (DD), simulation results prove that the proposed model has better detection at low SNRs and at the cost of less sensing time.