IEEE Technical Seminar by Rohan Grover

This event is co-organized by the IEEE ComSoc Seattle Joint Chapter, IEEE Vancouver Joint Communications Chapter, and IEEE Victoria Joint Chapter
 
Title: Shared Spectrum in 5G and WiFi
 
Presented by: Rohan Grover
 

Date and time: April 27, 2022, from 6 pm to 7:30 pm

 
Event details and registration info: https://events.vtools.ieee.org/m/311739 
Abstract: Given the scarcity of spectrum in the U.S and the world, a new model of spectrum usage is being pioneered by the FCC for use in 5G and WiFi. Spectrum sharing for CBRS band and WiFi 6 GHz band allows for legacy users and new entrants to use the same spectrum, under the management of a spectrum controller. This presentation will discuss the salient aspects of spectrum sharing for the two bands and how the spectrum controllers orchestrate this coexistence between different types of users.
Bio: Dr. Grover is the Director of Software Development at Federated Wireless, a company revolutionizing Wireless Spectrum usage across the United States. He was amongst the first 10 Engineers and built the flagship product of this company and now leads the development team. Prior to Federated Wireless, Dr. Grover has worked in several startups in the Wireless and Telecommunications industry. He received his Ph.D. and Master’s in Electrical Engineering from State University of New York at Buffalo in 2007 and 2004, respectively.

IEEE Technical Seminar by Mehdi Rahmati

IEEE Technical Seminar by Mehdi Rahmati
This event is co-organized by the IEEE ComSoc New York Chapter, IEEE North Jersey Section Chapter, IEEE Canadian Atlantic Section Chapter, IEEE Vancouver Joint Communications Chapter, and other chapters.
 
Title: Integration of Terrestrial Networks and Extreme Environments: Challenges and Capabilities
 
Presented by: Prof. Mehdi Rahmati, Cleveland State University, USA
 

Date and time: March 29, 2022, from 4 pm to 5:15 pm

 
Event details and registration info: https://events.vtools.ieee.org/m/308383 
(Registration Deadline: March 28, 2022. Meeting link will be sent to those who have registered by March 28, 2022.)
Abstract: With the phenomenal growth of excessive data traffic and the increasing number of connected devices, existing communications solutions are posing unprecedented challenges in terms of capacity, latency, heterogeneity, mobility, coverage, energy efficiency, and reliability. Given the demand for full connectivity, as part of the post 5G era, non-terrestrial and terrestrial networks integration will be a challenging mission that will necessitate redefining a multi-dimensional and fully orchestrated system in terms of sensing, communications, computing, and intelligence. In this talk, I will present non-conventional approaches to address the problems in a non-terrestrial and extreme environment, i.e., underwater. Intelligent and behavior-aware probabilistic solutions will be discussed, with the goal of achieving robust adaptation in terms of required Quality of Service and Quality of Experience to meet the demands in a variety of scenarios.
Bio: Dr. Mehdi Rahmati (IEEE Senior Member) is an assistant professor in the Department of Electrical Engineering and Computer Science at Cleveland State University in Ohio. His research is in the areas of wireless communications, underwater communications, and coordination in distributed autonomous systems. He received his PhD in Electrical and Computer Engineering in 2020 from Rutgers University in New Jersey. He has published numerous peer-reviewed papers and has received many prestigious awards, including the IEEE Oceanic Engineering Society Young Professional Award in 2022 and 2023, the best demo award at the 2019 IEEE International Conference on Sensing, Communication, and Networking (SECON), the first prize in the 2019 IEEE Communication Society (ComSoc) student competition, the best paper award at the 2017 IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS), and the best paper runner-up award at the 2015 ACM International Conference on Underwater Networks and Systems (WUWNet).

IEEE Technical Seminar by Hua Wang

IEEE Technical Seminar by Hua Wang
This event is co-organized by the IEEE Seattle Joint Communications Chapter, IEEE Victoria Joint Communications Chapter, IEEE Vancouver Joint Communications Chapter, and IEEE Vancouver Joint Solid-State Circuits and Technology Chapter.
 
Title: Fundamentals of RF and mm-Wave Power Amplifier Designs
 
Presented byProf. Hua Wang, ETH Zürich
 

Date and time: January 26, 2022, from 12 pm to 1:30 pm

Join Zoom Meeting: https://seattleu.zoom.us/j/99294759142

Meeting ID: 992 9475 9142

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Event details and registration info: https://events.vtools.ieee.org/event/register/299555 
Abstract: This talk presents a focused overview of mm-wave power-amplifier (PA) designs in silicon, including design fundamentals, advanced PA architectures, and state-of-the-art design examples. The talk will start with an introduction of PA performance metrics and their impacts on wireless systems. Next, it presents the design fundamentals of PA active devices and passive networks as well as power combining strategies. The tutorial discusses advanced PA architectures, including Doherty, Outphasing, and Hybrid PAs, for high efficiency, linearity, and bandwidth. Antenna-PA co-designs are covered as well to achieve on-antenna power combining, active load modulation, and reconfiguration. Further, advance and challenges of high mm-Wave PAs will be covered to address the emerging beyond-5G/6G applications. Finally, the talk will conclude with several state-of-the-art mm-wave PA design examples.
Bio: Hua Wang is a full professor and chair of electronics at Department of Information Technology and Electrical Engineering (D-ITET) of Swiss Federal Institute of Technology Zürich (ETH Zürich). He is the director of the ETH Integrated Devices, Electronics, And Systems (IDEAS) Group. Prior to that, he was an associate professor with tenure at the School of Electrical and Computer Engineering (ECE) at Georgia Institute of Technology, USA. He held the Demetrius T. Paris professorship at School of ECE at Georgia Tech. He was the founding director of Georgia Tech Center of Circuits and Systems (CCS) and the director of the Georgia Tech Electronics and Micro-System (GEMS) lab. He worked at Intel Corporation and Skyworks Solutions from 2010 to 2011. He received his M.S. and Ph.D. degrees in electrical engineering from the California Institute of Technology, Pasadena, in 2007 and 2009, respectively. Dr. Wang is interested in innovating analog, mixed-signal, RF, and mm-Wave integrated circuits and hybrid systems for wireless communication, sensing, and bioelectronics applications. He has authored or co-authored over 200 peer-reviewed journal and conference papers. Dr. Wang received the DARPA Director’s Fellowship Award in 2020 (the first awardee in Georgia Tech’s history), the DARPA Young Faculty Award in 2018, the National Science Foundation CAREER Award in 2015, the Qualcomm Faculty Award in 2020 and 2021, the IEEE MTT-S Outstanding Young Engineer Award in 2017, the Georgia Tech Sigma Xi Young Faculty Award in 2016, the Georgia Tech ECE Outstanding Junior Faculty Member Award in 2015, and the Lockheed Dean’s Excellence in Teaching Award in 2015. His research group has won multiple academic awards and best paper awards, including the 2019 Marconi Society Paul Baran Young Scholar, the IEEE RFIC Best Student Paper Awards (2014, 2016, 2018, and 2021), the IEEE International Microwave Symposium (IMS) Best Student Paper Award 2021, the IEEE CICC Outstanding Student Paper Awards (2015, 2018, and 2019), the IEEE CICC Best Conference Paper Award (2017), the 2016 IEEE Microwave Magazine Best Paper Award, and the IEEE SENSORS Best Live Demo Award (2nd Place in 2016). Dr. Wang is a Technical Program Committee (TPC) Member for IEEE ISSCC, RFIC, CICC, and BCICTS conferences. He is a Steering Committee Member for IEEE RFIC and CICC. He is the Conference Chair for CICC 2019 and Conference General Chair for CICC 2020. He is a Distinguished Microwave Lecturer (DML) for the IEEE Microwave Theory and Techniques Society (MTT-S) for the term of 2022-2024. He was a Distinguished Lecturer (DL) for the IEEE Solid-State Circuits Society (SSCS) for the term of 2018-2019. He was the Chair of the Atlanta’s IEEE CAS/SSCS joint chapter that won the IEEE SSCS Outstanding Chapter Award in 2014.

IEEE / UBC ECE Seminar

UBC ECE Seminar, co-sponsored by the IEEE Vancouver Joint Communications Chapter

Title: Learning to maximize a convex quadratic function with application to intelligent reflection surface for wireless communication

Presented by: Prof. Zhi-Quan (Tom) Luo
Vice President (Academic), Professor
School of Science and Engineering
The Chinese University of Hong Kong (Shenzhen)

Date and time: Friday, January 7, 2022, from 10:30 am to 11:30 am

Zoom linkhttps://ubc.zoom.us/j/6314145651?pwd=aHYxandyWjJCN3lncmtoeW1aMkcwZz09 
Meeting ID: 631 414 5651
Passcode: 431623

Abstract: In this talk we consider learning and optimizing a rank-2 convex quadratic function over N variables, each taking K discrete values on the unit circle. This problem arises from optimal design of a passive beamformer for intelligent reflecting surface (IRS) in order to maximize the overall channel strength. When K=2 and the quadratic function (or channel state information) is known, we propose a linear time algorithm that is capable of reaching a globally optimal solution of the problem. When the quadratic function is unknown (i.e. in the absence of channel state information) we propose a random max sampling (RMS) method and a conditional sample mean (CSM) method to maximize the quadratic function. We show that RMS method can provide a SNR boost that is linear in N (the number of reflective elements in IRS), while the CSM can boost the SNR quadratically (in N), all with polynomial number of samples.  Field trial results demonstrate the effectiveness of the proposed CSM method in the commercial 5G communication networks, providing >10dB SNR gain in both typical indoor and outdoor scenarios, and with no need to modify the current communication protocols and design.

Biography: Zhi-Quan Tom Luo received his B.Sc, Applied Mathematics, from Peking University in 1984 and PhD from MIT in 1989. He was with the McMaster University, Canada, from 1989 to 2003, where he served as the Head of the ECE Department and held a Canada Research Chair in Information Processing. He has been with the ECE Department at the University of Minnesota (Twin Cities), since 2003-2014. He is Vice President (Academic) and Professor of School of Science and Engineering, the Chinese University of Hong Kong (Shenzhen) (2014-present). His research interests lie in optimization algorithms for signal processing, data analytics and digital communication. He is a Fellow of IEEE and SIAM. In 2014 he was elected to the Royal Society of Canada, and to the Chinese Academy of Engineering as a foreign member in 2021. He has been an active IEEE volunteer (e.g., serving as the EIC for the IEEE Transactions on Signal Processing) and has received numerous awards and recognitions (e.g., best paper awards, the 2010 Farkas Prize, the 2018 prize of Paul Y. Tseng Memorial Lectureship in Continuous Optimization).

IEEE VDL Talk by Osvaldo Simeone

IEEE VDL Talk by Osvaldo Simeone
IEEE Virtual Distinguished Lecturer (VDL) Talk, co-organized by the IEEE Kingston Section Chapter, Saint Maurice Section Chapter, Toronto Section Chapter, and Vancouver Joint Communications Chapter.
Title: Learning to Learn to Communicate
 
Presented byProf. Osvaldo Simeone, King’s College London
 

Date and time: June 24, 2021, from 8 am to 9 am

Event details and registration info: https://events.vtools.ieee.org/m/274966
Abstract: The application of supervised learning techniques for the design of the physical layer of a communication link is often impaired by the limited amount of pilot data available for each device; while the use of unsupervised learning is typically limited by the need to carry out a large number of training iterations. In this talk, meta-learning, or learning-to-learn, is introduced as a tool to alleviate these problems. The talk will consider an Internet-of-Things (IoT) scenario in which devices transmit sporadically using short packets with few pilot symbols over a fading channel. The number of pilots is generally insufficient to obtain an accurate estimate of the end-to-end channel, which includes the effects of fading and of the transmission-side distortion. To tackle this problem, pilots from previous IoT transmissions are used as meta-training data in order to train a demodulator that is able to quickly adapt to new end-to-end channel conditions from few pilots. Various state-of-the-art meta-learning schemes are adapted to the problem at hand and evaluated, including MAML, FOMAML, REPTILE, and CAVIA. Both offline and online solutions are developed.
Bio: Osvaldo Simeone is a Professor of Information Engineering with the Centre for Telecommunications Research at the Department of Engineering of King’s College London, where he directs the King’s Communications, Learning and Information Processing lab. He received an M.Sc. degree (with honors) and a Ph.D. degree in information engineering from Politecnico di Milano, Milan, Italy, in 2001 and 2005, respectively. From 2006 to 2017, he was a faculty member of the Electrical and Computer Engineering (ECE) Department at New Jersey Institute of Technology (NJIT), where he was affiliated with the Center for Wireless Information Processing (CWiP). His research interests include information theory, machine learning, wireless communications, and neuromorphic computing. Dr Simeone is a co-recipient of the 2019 IEEE Communication Society Best Tutorial Paper Award, the 2018 IEEE Signal Processing Best Paper Award, the 2017 JCN Best Paper Award, the 2015 IEEE Communication Society Best Tutorial Paper Award and of the Best Paper Awards of IEEE SPAWC 2007 and IEEE WRECOM 2007. He was awarded a Consolidator grant by the European Research Council (ERC) in 2016. His research has been supported by the U.S. NSF, the ERC, the Vienna Science and Technology Fund, as well as by a number of industrial collaborations. He currently serves in the editorial board of the IEEE Signal Processing Magazine and is the vice-chair of the Signal Processing for Communications and Networking Technical Committee of the IEEE Signal Processing Society. He was a Distinguished Lecturer of the IEEE Information Theory Society in 2017 and 2018. Dr Simeone is a co-author of two monographs, two edited books published by Cambridge University Press, and more than one hundred research journal papers. He is a Fellow of the IET and of the IEEE.

IEEE VDL Talk by Shahrokh Valaee

IEEE VDL Talk by Shahrokh Valaee
IEEE Virtual Distinguished Lecturer (VDL) Talk, co-organized by the IEEE Kingston Section Chapter, Windsor Section Joint Chapter, Toronto Section Chapter, Ottawa Section Joint Chapter, Canadian Atlantic Section Chapter, and IEEE Vancouver Joint Communications Chapter.
 
Title: Localization in Drone Assisted and Vehicular Networks
 
Presented byProf. Shahrokh Valaee, University of Toronto
 

Date and time: June 17, 2021, from 10 am to 11 am

Event details and registration info: https://events.vtools.ieee.org/m/274379 
Abstract: The next generation of wireless systems will employ networking equipment mounted on mobile platforms, unmanned air vehicles (UAV), and low orbit satellites. As a result, the topology of 6G wireless technology will extend to 3D vertical networking. With its extended service, 6G will also give rise to new challenges which include, the introduction of intelligent reflective surfaces (IRS), the mmWave spectrum, the employment of massive MIMO systems, and the agility of networks. Along with the advancement in networking technology, user devices are also evolving rapidly, with the emergence of highly capable cellphones, smart IoT equipment, and wearable devices. One of the key elements of 6G technology is the need for accurate positioning information. The accuracy of today’s positioning systems is not acceptable for many applications of future, especially in smart environments. In this talk, we will discuss how positioning can be a key enabler of 6G, and what challenges the next generation of localization technology will face when integrated within the new wireless networks.
Bio: Shahrokh Valaee is a Professor with the Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, and the holder of Nortel Chair of Network Architectures and Services. He is the Founder and the Director of the Wireless and Internet Research Laboratory (WIRLab) at the University of Toronto. Professor Valaee was the TPC Co-Chair and the Local Organization Chair of the IEEE Personal Mobile Indoor Radio Communication (PIMRC) Symposium 2011. He was the TCP Chair of PIMRC2017, the Track Co-Chair of WCNC 2014, the TPC Co-Chair of ICT 2015. He has been the guest editor for various journals. He was a Track Co-chair for PIMRC 2020 and VTC Fall 2020. From December 2010 to December 2012, he was the Associate Editor of the IEEE Signal Processing Letters. From 2010 to 2015, he served as an Editor of IEEE Transactions on Wireless Communications. Currently, he is an Editor of Journal of Computer and System Science. Professor Valaee is a Fellow of the Engineering Institute of Canada, and a Fellow of IEEE.

IEEE Technical Seminar by Giovanni Geraci

IEEE Technical Seminar
This event is co-organized by IEEE Seattle Section Joint Chapter, IEEE Vancouver Joint Communications Chapter, and IEEE Victoria Section Joint Chapter.
 
Title: The Future of UAV Cellular Communications: A Journey from 5G to 6G
 
Presented by: Dr. Giovanni Geraci, Universitat Pompeu Fabra, Barcelona
 
Date and time: June 10, 2021, from 12 pm to 1 pm
 
Event details and registration info: https://events.vtools.ieee.org/m/270176 
Abstract: What will it take for UAVs—and the associated ecosystem—to take off? Arguably, ubiquitous high-capacity links paired with hyper-reliable command and control all along. And indeed, meeting these aspirations may entail a full-blown mobile network support. While the understanding of UAV cellular communications has been advancing, many fundamental challenges remain to be addressed, with new applications demanding original solutions. In this talk, we blend academic and industrial views, navigating from 5G to 6G UAV use cases, requirements, and enabling technologies.
Biography: Giovanni Geraci is an Assistant Professor at University Pompeu Fabra in Barcelona. He was previously a Research Scientist with Nokia Bell Labs and holds a Ph.D. from the UNSW Sydney. He is an IEEE ComSoc Distinguished Lecturer, an Editor for two IEEE journals, and a co-Editor of the book “UAV Communications for 5G and Beyond” by Wiley—IEEE Press. Giovanni received the IEEE ComSoc Outstanding Young Researcher Award for Europe, Middle East, and Africa.

IEEE Technical Seminar by Andreas F. Molisch

IEEE Technical Seminar
This event is co-organized by IEEE Seattle Section Joint Chapter, IEEE Vancouver Joint Communications Chapter, and IEEE Victoria Section Joint Chapter.
 
Title: Sub-THz Wireless Propagation Channels and Their Impact on System Design
 
Presented by: Prof. Andreas F. Molisch, University of Southern California
 
Date and time: June 14, 2021, from 6 pm to 7 pm
 
Event details and registration info: https://events.vtools.ieee.org/m/273280
Abstract: The frequency range from 0.1-1 THz is of great interest for beyond 5G (B5G) wireless communications, due to the enormous amount of (currently fallow) spectrum in that band. In order to assess the potential of this band, and anticipate possible pitfalls, measurement and modeling of the corresponding propagation channels is the vital first step. This is particularly relevant since many of the dominant propagation effects are significantly different from those at the traditional cm-wave frequencies (i.e., microwave range). This talk will first provide a review of physical propagation processes and how they are distinct at THz channels. We then proceed to the measurement techniques, which are considerably more challenging than at lower frequencies, as well as deterministic (ray tracing/launching) methods for high frequency ranges. We will then review key measurement results, emphasizing outdoor environments, for which we recently performed the first directionally resolved long-distance (up to 100m) measurements. Throughout the talk, impact of the propagation on the system design will be emphasized.
Biography: Andreas F. Molisch received his PhD and habilitation from TU Vienna in 1994 and 1999, respectively. After 10 years in industry he joined the University of Southern California, where he is now the Solomon Golomb – Andrew and Erna Viterbi Chair Professor. His research interest is wireless communications, with emphasis on wireless propagation channels, multi-antenna systems,  ultrawideband signaling and localization, novel modulation methods, caching for wireless content distribution, and edge computing. He is the author of four books, 21 book chapters, more than 260 journal papers, 360 conference papers, as well as 70 granted patents; his work has been cited more than 50,000 times. He is a Fellow of the National Academy of Inventors, IEEE, AAAS, and IET, as well as Member of the Austrian Academy of Sciences and recipient of numerous awards.

IEEE VDL Talk by Besma Smida

IEEE VDL Talk by Besma Smida
IEEE Virtual Distinguished Lecturer (VDL) Talk, co-organized by the IEEE Quebec Section Joint Chapter, Ottawa Section Joint Chapter, Kingston Section Chapter, IEEE Vancouver Joint Communications Chapter, and other chapters.
 
Title: MIMO IBFD Transceiver Design
 
Presented by: Prof. Besma Smida, University of Illinois at Chicago
 

Date and time: June 1, 2021, from 1 pm to 2:30 pm

Event details and registration info: https://events.vtools.ieee.org/m/272174
Abstract: Next generation wireless communication system requirements have spurred recent research activities on multi-antenna transceiver hardware architectures and relevant intelligent communication schemes. Among these are Full Duplex (FD) and Multiple-Input Multiple-Output (MIMO) architectures, which offer the potential for simultaneous uplink and downlink communications in the entire frequency band. However, as the number of antenna elements increases, the interference signal leaking from the transmitter of the FD radio to its receiver becomes more severe. In this talk, I will present a unified FD massive MIMO architecture comprising analog and digital transmit and receive BeamForming (BF), as well as analog and digital SI cancellation, which can be jointly designed for various performance objectives and complexity requirements. Performance evaluation results for applications of the proposed architecture to fully digital and hybrid analog and digital BF operations using recent algorithmic designs, as well as simultaneous communication of data and control signals, are presented. The proposed architecture, for both small and large numbers of antennas, should enable improved spectral efficiency FD communications with fewer analog cancellation elements compared to various benchmark schemes. The talk will be concluded with a list of open challenges and research directions for future FD massive MIMO communication systems.
Bio: Besma Smida (Senior Member, IEEE) is an Associate Professor of electrical and computer engineering with the University of Illinois at Chicago. After completing her appointment as a Post-Doctoral Researcher and later a Lecturer at Harvard University, she became an Assistant Professor of electrical and computer engineering with Purdue University Northwest. She received the M.Sc. and Ph.D. degrees from the University of Quebec (INRS), Montreal, QC, Canada. She was a Research Engineer with the Technology Evolution and Standards Group of Microcell, Inc., (now Rogers Wireless), Montreal. She took part in wireless normalization committees (3GPP, T1P1). She has served as the Chair for IEEE Women in Engineering, Chicago Section, from 2011 to 2013, and has been the Chair of IEEE Communication Chapter, Chicago Section, since 2019. She currently serves as Editor for the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, Editor of the IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY, and a Guest Editor SENSORS OPEN ACCESS JOURNAL.  Previously she served as an Associate Editor for the IEEE COMMUNICATION LETTERS, and a Guest Editor for special issues of the IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS. She is a Communication Society Distinguished Lecturer for 2021-2022. She was awarded the INSIGHT Into Diversity Magazine’s 2015 “100 Inspiring Women in STEM”. She received the Academic Gold Medal of the Governor General of Canada in 2007 and the NSF CAREER award in 2015. Her research focuses on In-band Full-Duplex systems and applications, backscatter modulation, IoT, and two-way communication networks.

IEEE Technical Seminar by Melike Erol-Kantarci

IEEE Technical Seminar
This event is co-organized by IEEE Seattle Section Joint Chapter, IEEE Vancouver Joint Communications Chapter, and IEEE Victoria Section Joint Chapter.
 
Title: AI-Enabled Wireless Networks
 
Presented by: Prof. Melike Erol-Kantarci, University of Ottawa
 
Date and time: May 20, 2021, from 12 pm to 1 pm
 
Event details and registration info: https://events.vtools.ieee.org/m/270829 
Abstract: Future wireless networks are expected to support a multitude of services demanded by Enhanced Mobile Broadband (eMBB), Ultra-Reliable and Low-latency Communications (uRLLC), and massive Machine Type Communications (mMTC) users. Heterogeneous devices with different quality of service (QoS) demands will require intelligent and flexible allocation of network resources in response to network dynamics. To meet these demands, future wireless networks must incorporate a paradigm shift in network resource optimization, in which efficient and intelligent resource management techniques are employed. Artificial intelligence, or more specifically machine learning algorithms stand as promising tools to intelligently manage the networks such that network efficiency, reliability, robustness goals are achieved and QoS demands of users are satisfied. In this talk, we will provide an overview of the state-of-art in machine learning algorithms and their applications to wireless networks, in addition to their challenges and the open issues in terms of their applicability to various functions of future wireless networks.
Biography: Melike Erol-Kantarci is Canada Research Chair in AI-enabled Next-Generation Wireless Networks and Associate Professor at the School of Electrical Engineering and Computer Science at the University of Ottawa. She is the founding director of the Networked Systems and Communications Research (NETCORE) laboratory. She is a Faculty Affiliate at the Vector Institute, Toronto, and the Institute for Science, Society and Policy at University of Ottawa. She has over 150 peer-reviewed publications which have been cited over 5500 times and she has an h-index of 39. She has received numerous awards and recognitions. Recently, she received the 2020 Distinguished Service Award of the IEEE ComSoc Technical Committee on Green Communications and Computing and she was named as N2Women Stars in Computer Networking and Communications in 2019. Dr. Erol-Kantarci has delivered 50+ keynotes, tutorials and panels around the globe and has acted as the general chair and technical program chair for many international conferences and workshops. Her main research interests are AI-enabled wireless networks, 5G and 6G wireless communications, smart grid and Internet of things. She is an IEEE ComSoc Distinguished Lecturer, IEEE Senior member and ACM Senior Member.