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AI in 6G Networks – Path From Enabler to AI Native Air Interface

Wednesday, November 2nd, 2022

The upcoming event “AI in 6G Networks – Path From Enabler to AI Native Air Interface” will be held on Friday, 10 November 2022, co-hosted by IEEE Windsor Section Joint Chapter SP01/COM19.

For registration and more information, please visit:

https://events.vtools.ieee.org/m/329644

Abstract: 

Machine learning (ML) and AI will play a key role in the development of 6G networks. Network virtualization and network softwarization solutions in 5G networks can support data-driven intelligent and automated networks to some extent and this trend will grow in 5G-advanced networks. Radio access network algorithms and radio resource management functions can exploit network intelligence to fine tune network parameters to reach close-to-optimal performance in 5G networks. In 6G networks, network intelligence is envisioned to be end-to-end, and air interface is envisioned to be AI-native. The user equipment (UE) devices need to be smarter, environment and context aware, and capable of running ML algorithms. This talk will focus on the main practical challenges in developing machine learning solutions in 5G use cases and emphasize with a case study how deployment of these solutions is much harder in a live network as compared to theoretical performance evaluation. Further, a vision for paradigm shift from AI-as-an-enabler to AI-Native air-interface will be provided for 6G networks.

Speaker: Dr. Majid of Nokia Bell Labs

Biography:

M. Majid Butt received the M.Sc. degree in digital communications from Christian Albrechts University, Kiel, Germany, in 2005, and the Ph.D. degree in telecommunications from the Norwegian University of Science and Technology, Trondheim, Norway, in 2011. He is a senior research specialist at Nokia Bell Labs, France, and an adjunct Research Professor at Trinity College Dublin, Dublin, Ireland. Prior to that, he has held various positions at the University of Glasgow, U.K., Trinity College Dublin, Ireland, and Fraunhofer HHI, Germany. His current research interests include communication techniques for wireless networks with a focus on radio resource allocation, scheduling algorithms, energy efficiency, and machine learning for RAN. He has authored more than 75 peer-reviewed conference and journal articles, 4 book chapters and filed over 30 patents in these areas. He frequently gives invited and technical tutorial talks on various topics in IEEE conferences including, ICC, Globecom, VTC, etc.

Dr. Butt was a recipient of the Marie Curie Alain Bensoussan Post-Doctoral Fellowship from the European Research Consortium for Informatics and Mathematics. He has organized several technical workshops on various aspects of communication systems in conjunction with major IEEE conferences. He serves as an associate editor for IEEE Communication Magazine, IEEE Open Journal of the Communication Society and IEEE Open Journal of Vehicular Technology.

VDL Talk on “AI Based zero energy communication in 6G”

Sunday, August 28th, 2022

 

Austin ComSoc/SP/CtSoc and Computer/EMBS  joint chapters would like to invite you to attend a special VDL talk on “AI Based Zero Energy Communication in 6G” on September 21st, 2022.

Speaker:

Prof. Sinem Coleri, Koc University (Turkey)

 

Abstract


Supporting low- or zero-energy machine type devices through the incorporation of energy harvesting technologies in 6G is expected to reduce frequent battery replacements as well as sustaining the operation of battery-less devices. The nodes can harvest energy from natural sources, such as sun, vibration and pressure; inductive and magnetic coupling; and radio frequency (RF) based wireless energy transfer. The complexity of the integration of energy harvesting into communication system design is increasing with the wide variety of the requirements of massive machine type communication scenarios in terms of reliability, delay and throughput. This high complexity can only be handled by the usage of AI techniques to continuously monitor the system knowledge and update the optimal communication and energy harvesting parameters accordingly. In this talk, novel optimal resource allocation algorithms are presented for low- or zero-energy machine type devices based on the usage of AI techniques. The wireless communication network and energy harvesting parameters are mapped to the optimal resource allocation by using deep neural networks.

 

Bio


Sinem Coleri is Professor in the department of Electrical and Electronics Engineering at Koc University. She is also the founding director of Wireless Networks Laboratory (WNL). Her research interests are in wireless communications and networking with applications in machine-to-machine communication, sensor networks and intelligent transportation systems.

Sinem Coleri received the BS degree in electrical and electronics engineering from Bilkent University in 2000, the M.S. and Ph.D. degrees in electrical engineering and computer sciences from University of California Berkeley in 2002 and 2005. She worked as a research scientist in Wireless Sensor Networks Berkeley Lab under sponsorship of Pirelli and Telecom Italia from 2006 to 2009. Since September 2009, she has been a faculty member in the department of Electrical and Electronics Engineering at Koc University.

Dr. Coleri has more than 180 peer-reviewed publications with citations over 8900 (Google scholar profile). She has received numerous awards and recognitions, including TUBITAK (The Scientific and Technological Research Council of Turkey) Incentive Award and IEEE Vehicular Technology Society 2020 Neal Shepherd Memorial Best Propagation Paper Award in 2020, College of Engineering Outstanding Faculty Award at Koc University and IEEE Communications Letters Exemplary Editor Award as Area Editor in 2019, Turkish Academy of Sciences Distinguished Young Scientist (TUBA-GEBIP) in 2015.

Dr. Coleri has been Area Editor of IEEE Communications Letters and IEEE Open Journal of the Communications Society since 2019, Editor of IEEE Transactions on Vehicular Technology since 2016 and Senior Editor of IEEE Access since 2022. She is an IEEE Fellow.

 

Registration link:

https://events.vtools.ieee.org/m/321886

Zoom info will be issued to all that registered.

 

For any additional information, please send an email to

F. Behmann at f.behmann@ieee.org

Magna Tech Talk

Monday, August 1st, 2022

Date: Aug 4, 2022, 2 PM to 5 PM

Location: CEI 1101

Registration link:

https://events.vtools.ieee.org/event/register/320892

Interested in seeing some 3D printers?

Saturday, July 16th, 2022

Registration link:

https://events.vtools.ieee.org/m/319578

Invitation to Attend “Integration of Terrestrial Networks and Extreme Environments: Challenges and Capabilities”

Thursday, March 24th, 2022

Date: 29 Mar 2022

Location: Online

IEEE ComSoc Chapter, Windsor Section is going to hold an event co-hosting with the NY section titled “Integration of Terrestrial Networks and Extreme Environments: Challenges and Capabilities”.

Speaker: Dr. Mehdi Rahmati, Assistant Professor, Department of Electrical Engineering & Computer Science, Cleveland State University, Cleveland, OH 44115, USA

Registration: Please register for the event at: https://events.vtools.ieee.org/m/308383 by March 28, 2022.

The event information can be found at:  https://windsor.ieee.ca/event/integration-of-terrestrial-networks-and-extreme-environments-challenges-and-capabilities

IEEE Young Professionals Event: Literature Reviews Workshop

Friday, October 4th, 2019

Topic: Literature Reviews Workshop

Description: Focus on Literature reviews- writing papers, thesis, and technical reports.

Speaker: Jason Horn.

Biography: Jason Horn has a BA with Honors in English Language and Literature and History from the University of Windsor where he also earned an MA in English language and literature while focusing on eco-criticism. In six years as an academic advisor, he has offered extensive supports to students and developed a strong understanding of the expectations of each of these and other disciplines. He also has extensive experience helping International students address the unique language and writing challenges they encounter while studying in Canada.

Location: CEI 2103

Outline of the Workshop: This is the second in a series of four writing workshops. Jason Horn will be providing us with excellent tips and tricks in writing papers, thesis, and technical reports. 

Date and Time: Friday, 04th October 2019  1 PM – 2 PM

Kindly register here to attend.

Thank you.

 

Siemens Mechatronics System Certification Program-Level 1

Sunday, April 7th, 2019

University of Windsor Continuing Education is organizing SMSCP- Siemens Mechatronics System Certification Program – Level 1 workshop in collaboration with Siemens.

This program has three levels:

Level 1- Siemens Certified Mechatronic Systems Assistant. Emphasis is placed on efficiently operating complex mechatronic systems, troubleshooting and foreseeing problems.

Level 2- Siemens Certified Mechatronic Systems Associate

Level 3- Siemens Certified Mechatronic Systems Professional

Level 1 courses include (Electro) Pneumatic and Hydraulic Control Circuits, Digital Fundamnetals and programmable Logic Controllers, Electrical Components, Mechanical Components and Electrical Drivers.

Date and Time: The workshop is from Apr 26- Jun 29, 2019. Fridays and Saturdays from 9 AM – 4 PM.

Learn more at http://continue.uwindsor.ca/

 

IEEE Univ of Windsor Student Branch – SolidWorks Workshop

Tuesday, March 26th, 2019

Topic: SolidWorks Bootcamp Workshop

Description: 

Speaker: Hamed Kalami.

Biography: Hamed Kalami specializes in Addictive Manufacturing, Manufacturing Engineering, Reverse Engineering, Finite Element Analysis, Product Design, and CAD Modeling.

Location: CEI 2105

Outline of the Workshop: Part Modeling-2D sketches and 3D Features, Assembly- Combining parts into 3D assemblies and Drawing- Making engineering drawings of designed parts into 3D assemblies.

Agenda of the Workshop: 

9:30- 11:15  – Part modeling 2D and 3D Sketches

11:15-11:30  – break (networking and refreshments)

11:30-12:30 – Assembly: Combining Parts

12:30-1:00  – Lunch Break

1:00-2:00   – Drawings of designed parts into 3D assemblies.

2:00-2:15   – Break (Networking and refreshments provided)

2:15-4:00   – Examples

Computer systems with full access to Solidworks software would be provided to attendees with a guest login. University of Windsor students can use their own login to access the computers.

Date and Time: Thursday, 28th March,  9:30 AM – 4: 00 PM

Registration Fee: $5 (Free for IEEE Members)

Kindly register through this link:

https://events.vtools.ieee.org/m/194534

(Refreshments will be provided)

Please contact Romy Byju (byju@uwindsor.ca) or Thileban Nagarasa (Nagarasa@uwindsor.ca) if you have any questions.

Thank you.

 

Seminar: IEEE Student Branch and Young Professionals

Thursday, March 7th, 2019

Topic: Machine Vision Application to Industry

Description: Machine Vision is the technology and methods used to provide imaging-based automatic inspection, process control and robot guidance, usually in industry. The benefits of Machine Vision, Inspection Types, 2D vs 3D, General 2D Machine Vision and 3D Laser scanning concepts are discussed. We will also discuss Solution Cost Analysis and Case Study on Sand Core Analysis.

Speaker: Mike Sirizzotti, Co-Owner and Vice-president, Vista Solutions Inc.

Location: CEI 3000

Date and Time: Monday, 18th March,  3:30 PM – 4: 15 PM

Registration is free for everyone. Kindly register through this link: https://events.vtools.ieee.org/m/194511

(Refreshments will be provided)

Thank you.

 

Seminar: IEEE Student Branch, Windsor Section

Friday, March 1st, 2019

Topic: Design and Instrumentation Challenges of FMCW (Automotive) Radar

Description: Modern radars produce complicated pulses that can present significant measurement challenges. The desire to improve range, resolution and immunity to interference have motivated numerous coding schemes, frequency and phase modulated pulses, frequency chirped pulses and narrow pulses with high overall bandwidth.  In this session, we will discuss some of the design challenges and instrument considerations for radar signal generation and analysis. There will be a live demo of the transmit analysis solution, using the new MSO6 from Tektronix. We will also have some new products from Tektronix on display.

Presented by: Mark Elo, Technical Marketing Manager at Tektronix

Location: Room CEI 3000,  Ed Lumley Center for Engineering Innovation

Date & Time: Thursday, March 14th, 2:30pm – 4:30pm (presentation 2:30 – 3:30pm) (networking 3:45pm. – 4:30pm)

Please register here as limited seats are available.

If you have any questions, please email: chught11@uwindsor.ca