IEEE Day 2021 Celebration 2nd day


IEEE Day 2021

Annual IEEE Day Celebration. With a theme of “Leveraging Technology for a Better Tomorrow”, IEEE Day celebrate the first time in history when engineers worldwide gathered in 1884 to share their technical ideas.

While the world benefits from what’s new, IEEE focuses on what’s next. Activities worldwide demonstrate the multiple ways thousands of IEEE members in local communities in one hundred and sixty countries join together to collaborate on ideas that leverage technology into a better tomorrow.

  Date and Time




  • Date: 08 Oct 2021
  • Time: 09:00 AM to 05:30 PM
  • All times are Europe/Riga
  • Add_To_Calendar_icon Add Event to Calendar

IEEE Day 2021 2-nd day section: Passcode: 423828

Paper A section:  Passcode:  936569

Paper B section:  Passcode:  511272

Paper C section:   Passcode:  138041


    Co-sponsored by Riga Technical University

  • Starts 16 September 2021 04:29 PM
  • Ends 08 October 2021 11:59 PM
  • All times are Europe/Riga
  • No Admission Charge


Prof. Agnis Stibe

Prof. Agnis Stibe


Hyper-Performing Cities with Human Artificial Intelligence

Achieving hyper-performance is an essential aim not only for organizations but also for individuals and societies. While digital transformation is reshaping everything very rapidly, people more often than ever tend falling behind with their poor attitudes remaining as an ultimate obstacle. Thus, it is becoming increasingly important to rebalance how we progress with technological advancements and their impacts on our lives. An alignment of human-machine co-evolution seems to emerge as the only sustainable strategy for our long-term success in the future. Therefore, this presentation will intertwine the strengths of artificial intelligence with the depth of behavioral science to empower the design of next generation cities and societies.


4x TEDx speaker, MIT alum, YouTube creator. Globally recognized corporate consultant and scientific advisor at Provides a science-driven STIBE method and practical tools for hyper-performance. Academic Program Director on Artificial Intelligence and Professor of Transformation at EM Normandie Business School. Adjunct Professor of Human-City Interaction at the University of Oulu. Paris Leader of Silicon Valley founded the Transformative Technology community. At the renowned Massachusetts Institute of Technology, he established research on persuasive cities for sustainable wellbeing. Within this vision, business acceleration and societal wellbeing can be achieved through purposefully designed innovations that successfully blend technological advancements with human nature.

Address:EM Normandie Business School, , Le Havre, France

Dr. Shahriar Shirvani Moghaddam

Dr. Shahriar Shirvani Moghaddam


Sorting algorithms for large data sets

Computer and communication systems and networks deal with many cases that require rearrangement of data either in descending or ascending order. This operation is called sorting, and the purpose of an efficient sorting algorithm is to reduce the computational complexity and time taken to perform the comparison, swapping, and assignment operations. Design an efficient data sorting algorithm is essential for large data sets in wireless networks, the Internet of things, data mining systems, computer science, and communications engineering. 
In this speech, entitled “Sorting Algorithms for Large Data Sets,” in addition to a short survey on data sorting and its different classes, newly proposed mean-based and threshold-based sorting algorithms will be discussed. Briefly, we take a look at the following items:
-    Definition of sorting;
-    A few practical examples of sorting in everyday life;
-    Applications of data sorting in science and engineering;
-    Data types require sorting;
-    Performance metrics for sorting algorithms;
-    Different categories of sorting algorithms;
-    Why data sorting is needed in new applications?
-    Examples of new applications that need to sort the large data sets;
-    New sorting algorithms for large data sets based on the mean-value and threshold level.


As an engineer, Shahriar Shirvani Moghaddam has more than 10 years of engineering experience in the basic and detailed design of wired and wireless communication systems and point-to-point radio links in off-shore and on-shore oil and gas projects in the time interval 1995-2006. Since 2003, he has been with the Faculty of Electrical Engineering, Shahid Rajaee Teacher Training University (SRTTU), Tehran, Iran. As a faculty member, he has been the Lecturer of 25 undergraduate and graduate courses and advised/supervised more than 100 Ph.D., M.Sc., and B.Sc. students in her/his theses/dissertations. Also, he has done 20 research projects for industry and university, 5 workshops, and 15 academic lectures as a keynote or invited speaker. He has been the head of the Electronics department, the head of the Communications department, and the dean of the Faculty of Electrical Engineering of SRTTU, in the time intervals 2004-2006, 2012-2015, and 2013-2015, respectively. From 2013 to 2019, he has been the Editor in Chief of the Journal of Electrical and Computer Engineering Innovations (JECEI). Moreover, he has been the reviewer of the well-known journals in Electrical and Communications Engineering, scientific co-chair of two conferences in Electrical Engineering, and moderator of some sessions of international/local conferences. 
Currently, he is an associate professor at the Digital Communications Signal Processing (DCSP) research laboratory of SRTTU and a senior member of the IEEE. In addition to having numerous papers in prestigious scientific journals, he has presented dozens of papers at conferences and symposiums. Also, he is the author of two books, one on Digital Communications and another one on Electrical Engineering, and the editor of the book entitled “Cognitive Radio in 4G/5G wireless Communication Systems.” His research interests include ultra-dense networks (UDNs), heterogeneous networks (HetNets), cognitive radio (CR), device-to-device (D2D) and vehicle-to-vehicle (V2V) communications, data sorting, clustering, and digital array processing.

Address:Shahid Rajaee Teacher Training University, , Tehran, Iran


IEEE Day 2021 2nd day Opening (online)

09:00-09:15 online, passcode 423828

Opening speech of on-line MTTW'21

Co-chair of MTTW'21, Dr. Arturs Aboltins


Key note talks (online)

09:15-10:00 Āzenes 12, 115, online, passcode 423828

Hyper-Performing Cities with Human Artificial Intelligence

Academic Program Director on Artificial Intelligence and Professor of Transformation at EM Normandie Business School, Prof. Agnis Stibe

10:15-11:00 online, passcode 423828

Sorting algorithms for large data sets

Associate professor at Faculty of Electrical Engineering, Shahid Rajaee Teacher Training Univesity, Digital Communications Signal Processing Lab., Dr. Shahriar Shirvani Moghaddam


Invited Young Researcher (online)


11:15-12:00 online, passcode 423828


Power Amplifier Linearization Methods for upcoming 5G networks

PhD researcher at Vilnius Gediminas Technical University, Mr. Andzej Borel


Lunch break 

12:15-13:00 (place of your choice)


A1: Beyond 5G technologies

13:00-15:00 (online passcode: 936569)

 B1: Microwave electronics

13:00-15:00 (online passcode: 511272)

C1: Optical communication and Photonics

13:00-15:00 (online passcode: 138041)


Coffee break



A2: IoT, Sensor and other  Networks

15:30-17:30 (online passcode: 936569)

 B2: Antennas

15:30-17:30 (online passcode: 511272)

C2: Signal processing  for communications

15:30-17:30 online, passcode: 423828

17:30-18:00 2nd day Best Paper Awards, Best Reviewer award and Closing ceremony (online passcode 423828) 


IEEE Day 2021