Virtual Seminar by Wade Trappe

Title: A Quick Look at New Risks Facing Wireless Systems

Date and Time: February 25, 2021 at 10AM ET

Registration Process: Please register using the following link. You will receive a link in your email to attend the talk online.

Abstract: Wireless networks are susceptible to a wide range of security risks. The evolution from old wireless technologies, such as3G and 802.11, to newer technologies, such as 5G and mmWave, hasnot fundamentally changed the core challenges that undermines the security of wireless networks: Wireless systems are easy to access,the wireless medium is easy to broadcast and eavesdrop on, and the increasingly pervasive nature means that we are becoming increasingly reliant on them for day-to-day functions. This talk will examine a broad sampling of wireless-based threats that will likely become more prevalent as we move towards the next generation of wireless system. These systems are characterized by a closer integration between communications, computation, and the real world. As such, the challenges we face to secure these systems requires that wireless engineers and systems developers think more holistically about how they will design and implement security mechanisms. In short, we must really work to protect our systems “across the stack” and even “into the application.”

Bio: Wade Trappe is a Professor in the Electrical and Computer Engineering Department at Rutgers University, and Associate Director of the Wireless Information Network Laboratory (WINLAB), where he directs WINLAB’s research in wireless security. He has led several federally funded projects in the area of cybersecurity and communication systems, projects involving security and privacy for sensor networks, physical layer security for wireless systems, a security framework for cognitive radios, the development of wireless testbed resources (the ORBIT testbed,, and new RFID technologies. He was the principal investigator for the original DARPA Spectrum Challenge, in which teams battled for spectrum superiority against each other on the ORBIT testbed arena. His experience in network security and wireless spans over 20 years, and he has co-authored a popular textbook in security, Introduction to Cryptography with Coding Theory, as well as several monographs on wireless security, including Securing Wireless Communications at the Physical Layer and Securing Emerging Wireless Systems: Lower-layer Approaches.

About the Monthly Virtual Seminar Series:

The IEEE TCCN Security Special Interest Group conducts a monthly virtual seminar series to highlight the challenges in securing the next generation (xG) wireless networks. The talks will feature cutting edge research addressing both technical and policy issues to advance the state-of-the-art in security techniques, architectures, and algorithms for wireless communications.

Virtual Seminar by Rose Qingyang Hu

Title: AI and Machine Leaning in Spectrum Sharing Security

Date and Time: January 29, 2021 at 10AM ET

Registration Process: Please register using the following link. You will receive a link in your email to attend the talk online.

Abstract: Dynamic spectrum sharing has been widely considered a key enabler of supporting future wireless networks for massive connectivity and pervasive communications. The complexity and dynamics of the spectrum sharing systems are being exposed to various new attacks, which require novel security and protecting mechanisms that are adaptive, reliable, and scalable. Artificial intelligence and Machine learning based methods have been widely explored to address these issues. In this talk, we will present the recent research advancements in AI/ML based spectrum sharing as well as the corresponding security mechanisms. In particular, we will focus on the state-of-art methodologies for improving the performance of the spectrum sharing communication systems by using AI/ML in different sharing paradigms such as cognitive radio networks, Licensed shared access/spectrum access systems, LTE-U/LAA networks, and ambient backscatter networks. How AI and ML are used to tackle spectrum sharing specific security issues such as primary user emulation attacks, spectrum sensing data falsification attacks, jamming/eavesdrop attacks, privacy issues, as well as how AL/ML can be possibly exploited to launch adversarial attacks in the spectrum sharing systems will be further elaborated. We expect that this talk will highlight the challenges as well as research opportunities in exploring AI and ML techniques to support the ever increasingly important yet complicated spectrum sharing as well as the related security mechanisms.

Bio: Rose Qingyang Hu currently is a Professor of Electrical and Computer Engineering Department and Associate Dean for Research of College of Engineering at Utah State University. Besides more than 12 years’ academia research experience, Prof. Rose Hu has more than 10 years R&D experience with Nortel, Blackberry and Intel as technical manager, senior research scientist, and senior wireless system architect, leading industrial 3G and 4G technology development, 3GPP/IEEE standardization, system level simulation and performance evaluation. Her current research interests include next-generation wireless communications, wireless network design and optimization, Internet of Things and Cyber Physical System, AI/ML, Mobile Edge Computing, wireless security. She has published over 260 papers in leading IEEE journals and conferences and holds over 30 patents in her research areas. Prof. Rose Hu is a Fellow of IEEE, NIST Communication Technology Laboratory Innovator 2020, IEEE Communications Society Distinguished Lecturer 2015-2018, IEEE Vehicular Technology Society Distinguished Lecturer 2020 – 2022, member of Phi Kappa Phi honor society, and recipient of Best Paper Awards from IEEE Globecom 2012, IEEE ICC 2015, IEEE VTC Spring 2016, and IEEE ICC 2016. She serve as TPC Co-Chair for IEEE ICC 2018 and TPC Co-Chair for IEEE Globecom 2023. She is currently serving on the editorial boards for IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, IEEE Communications Magazine, IEEE Wireless Communications Magazine.

About the Monthly Virtual Seminar Series:

The IEEE TCCN Security Special Interest Group conducts a monthly virtual seminar series to highlight the challenges in securing the next generation (xG) wireless networks. The talks will feature cutting edge research addressing both technical and policy issues to advance the state-of-the-art in security techniques, architectures, and algorithms for wireless communications.

Virtual Seminar by Kaushik Chowdhury

Title: Deep Convolutional Neural Networks for Device Identification

Date and Time: December 16 at 9AM ET

Registration Process: Please register using the following link. You will receive a link in your email to attend the talk online.

Abstract: Network densification is poised to enable the massive throughout jump expected in the era of 5G and beyond. In the first part of the talk, we identify the challenges of verifying identity of a particular emitter in a large pool of similar devices based on unique distortions in the signal, or ‘RF fingerprints’, as it passes through a given transmitter chain. We show how deep convolutional neural networks can uniquely identify a radio in a large signal dataset composed of over a hundred WiFi radios with accuracy close to 99%. For this, we use tools from machine learning, namely, data augmentation, attention networks and deep architectures that have proven to be successful in image processing and modify these methods to work in the RF-domain. In the second part of the talk, we show how intentional injection of distortions and carefully crafted FIR filters applied to the transmitter-side can help in enhanced classification. Finally, we discuss how to detect new devices not previously seen during training using observed statistical patterns. We conclude by showing a glimpse of other applications of RF fingerprinting, like 5G waveform detection in large-scale experimental platforms and identifying a specific UAV in a swarm.

Bio: Kaushik Chowdhury is Professor and Faculty Fellow in the ECE department and Associate Director at the Institute for the Wireless IoT at Northeastern University, Boston. He was awarded the Presidential Early Career Award for Scientists and Engineers (PECASE) in 2017, the DARPA Young Faculty Award in 2017, the Office of Naval Research Director of Research Early Career Award in 2016, and the NSF CAREER award in 2015. He has received best paper awards at several conferences that include, Infocom, Globecom, ICC (3x), SenSys, ICNC, and DySpan. He is presently a co-director of the Platforms for Advanced Wireless Research (PAWR) project office and the Colosseum RF emulator. His current research interests span applied machine learning to wireless systems, networked robotics, wireless charging and at-scale experimentation for emerging 5G and beyond networks.

About the Monthly Virtual Seminar Series:

The IEEE TCCN Security Special Interest Group conducts a monthly virtual seminar series to highlight the challenges in securing the next generation (xG) wireless networks. The talks will feature cutting edge research addressing both technical and policy issues to advance the state-of-the-art in security techniques, architectures, and algorithms for wireless communications.

Virtual Seminar #5

Dear TCCN fellow members, 

Please find the details of the fifth virtual seminar.

Time and date: EDT 9:00am-10:00am, Wednesday, 18 November 2020

Venue: online registration via

Title: Secure Computation with Privacy Preservation for Cyber Physical System Applications

Presenter:  Professor Zhu Han, University of Houston, USA

Abstract: Cyber Physical System (CPS) have infiltrated into many areas such as aerospace, automobiles, chemical processing, civil infrastructure, energy, healthcare, transportation, entertainment, and consumer appliances due to their tight integration of computation and networking capabilities to monitor and control the underlying systems. Many domains of CPS such as smart metering, sensor/data aggregation, crowd sensing, traffic control etc., typically collect huge amounts of individual information for data analysis and decision making, therefore privacy is a serious concern in CPS. Most of the traditional approaches protect the privacy of individual’s data by employing trusted third parties or entities for data collection and computation. An important challenge in these large-scale distributed applications is how to protect the privacy of the participants during computation and decision making, especially when such third party entities are untrusted. Considering various CPS applications involving modeling, we first discuss on utilizing applied cryptographic techniques for privacy preserving secure computation. Then we focus on the differential privacy based secure computation that guarantees individual privacy in presence of untrusted third party entities. Since confidential information must not be inappropriately released, and the use of untrusted information must not corrupt trusted computation and the utility. This talk concludes by focusing on the development of such tools for state-of-the-art applications by considering application-specific information security requirements.

Bio:  Zhu Han received the B.S. degree in electronic engineering from Tsinghua University, in 1997, and the M.S. and Ph.D. degrees in electrical engineering from the University of Maryland, College Park, in 1999 and 2003, respectively. From 2000 to 2002, he was an R&D Engineer of JDSU, Germantown, Maryland. From 2003 to 2006, he was a Research Associate at the University of Maryland. From 2006 to 2008, he was an assistant professor in Boise State University, Idaho. Currently, he is a John and Rebecca Moores Professor in Electrical and Computer Engineering Department as well as Computer Science Department at University of Houston, Texas. His research interests include security, wireless resource allocation and management, wireless communication and networking, game theory, and wireless multimedia. Dr. Han is an NSF CAREER award recipient 2010. Dr. Han has several IEEE conference best paper awards, and winner of 2011 IEEE Fred W. Ellersick Prize, 2015 EURASIP Best Paper Award for the Journal on Advances in Signal Processing and 2016 IEEE Leonard G. Abraham Prize in the field of Communication Systems (Best Paper Award for IEEE Journal on Selected Areas on Communications). Dr. Han is the winner 2021 IEEE Kiyo Tomiyasu Award. He has been IEEE fellow since 2014, AAAS fellow since 2020 and IEEE Distinguished Lecturer from 2015 to 2018. Dr. Han is 1% highly cited researcher according to Web of Science since 2017.

Best regards,
Yue Gao
Chair, Technical Committee on Cognitive Networks (TCCN)

Seeking Nominations for Officer Positions for the term 2021-22

It is time to elect the new batch of officers of the IEEE ComSoc Technical Committee on Cognitive Networks (TCCN) for the term of 01/2021-12/2022. 

In particular, we are seeking candidates for the following positions:
– Chair
– Vice Chair Europe/Africa
– Vice Chair Americas
– Vice Chair Asia Pacific
– Secretary

The TCCN Nomination and Election (N&E) committee this year includes the following members:

– Yue Gao, University of Surrey (Chair)
– Ekram Hossain, University of Manitoba 
– Octavia Dobre, Memorial University 
– Jianwei Huang, The Chinese University of Hong Kong (Shenzhen)
– Leandros Tassiulas, Yale University 

Nominations can come from any TCCN Member, but only Voting Members can be election candidates and can vote in the election. A list of current Voting Members is available at:
The nomination is done in two phases:

(1) (Strong Preferred) To be considered by the Nominations and Elections Committee (N&E Committee), please self-nominate by 28 October by emailing your nomination document to the entire N&E committee (
(2) To be considered as a “write-in” candidate, please email your nomination document together with the nomination letters of 3 TCCN Members to the entire N&E committee by 06 November.

The nomination document should include the following information in a single PDF document of no more than 2 pages:
– The TCCN Officer position that you are interested in
– Your brief bio, including service experiences in ComSoc and beyond
– Your technical background relevant to TCCN
– Your past contributions to TCCN
– Your plan if being elected.

The electronic election process will be run in line with the TCCN Policies and Procedures via the N&E Committee.

More specifically, we will follow the following election timetable (similar as the previous several elections):
16 Oct (Friday): Elections and Election Process Announced – call for candidates
28 October (Wednesday): Self-nomination close
29 October (Thursday) N&E Committee considers candidates that have come forward
03 Nov (Tuesday) N&E Committee Nominated Candidates announced
06 Nov (Friday): Nominations from TCCN Members as “write-in” candidates close
11 Nov (Wednesday): Voting opens
23 Nov (Monday): Voting closes
27 Nov (Friday): Results available to be approved by TEAC

We look forward to receiving your nominations.

Best regards,
Yue Gao
TCCN Chair, on behalf of the IEEE ComSoc TCCN 2020 Nominations and Elections Committee

Virtual Seminar by Prof. Vincent Poor

Dear Colleagues,

The IEEE TCCN Security Special Interest Group is launching a monthly virtual seminar series hosting speakers to highlight the challenges in securing the next generation (xG) wireless networks. The theme of the talks will feature cutting edge research directions addressing both technical and policy issues to advance the state-of-the-art in security techniques, architectures, and algorithms for wireless communications.

The first talk of the series will be delivered by Prof. Vincent Poor, Princeton University.

Date and Time: November 17 at 9AM ET

Registration: Please register using the following link. You will receive a link in your email to attend the talk online.

Title: Physical Layer Security in Wireless Networks

Abstract: The increasing deployment of wireless systems poses security challenges in emerging dynamic and decentralized networks consisting of very large numbers of low-cost and low-complexity devices. Over the last two decades alternative/complementary means to secure data exchange in wireless settings have been investigated in the framework of physical layer security (PLS), addressing jointly the issues of reliability and secrecy. PLS takes advantage of the inherent randomness of wireless communication channels and/or the unclonability of hardware fabrication processes, to harvest entropy and deliver authentication, confidentiality, message integrity, and privacy in demanding scenarios. In this talk, we review these issues from an information theoretic security perspective. PLS relies on information theoretic proofs of (weak or strong) perfect secrecy, a notion first introduced by Shannon in 1949. As such, PLS systems cannot be “broken” irrespective of the adversarial computational power, i.e., the proofs do not rely on any assumptions regarding the hardness of particular families of algebraic problems. There are some fundamental differences between information theoretic security and classical cryptography, and we will also discuss some of the pros and cons of each.

Bio:  Dr. Vince Poor is the Michael Henry Strater University Professor of Electrical Engineering at Princeton University, where his interests include information theory, machine learning and network science, and their applications in wireless networks, energy systems and related fields.  He is a member of the National Academy of Engineering and the National Academy of Sciences, and a foreign member of the Chinese Academy of Sciences and the Royal Society.  Recognition of his work includes the 2009 ComSoc Edwin Howard Armstrong Award, the 2017 IEEE Alexander Graham Medal, and honorary doctorates from universities in Asia, Europe and North America.

-TCCN SIG on Cognitive Security

Virtual Seminar #4

Dear TCCN fellow members,

Please find our 4th free virtual seminar organised by the IEEE ComSoc TCCN.

Time and date: EDT 9:00am-10:00am (BST 14:00-15:00), Tuesday, 20 October 2020

Venue: online registration via

Title: Symbiotic Radio: Achieving Mutualism Spectrum Sharing using Reconfigurable Intelligent Surfaces

Presenter: Professor Ying-Chang Liang, IEEE Fellow and Editor-in-Chief, IEEE Trans Cognitive Communications and Networking, University of Electronic Science and Technology of China (UESTC), China

Abstract: The heterogeneous wireless services and exponentially growing traffic call for novel spectrum- and energy efficient wireless communication technologies. In this talk, a new technique, called symbiotic radio (SR), is proposed to exploit the benefits of cognitive radio (CR) and reconfigurable intelligent surfaces (RIS), leading to mutualism spectrum sharing and highly reliable backscattering communications. We provide a systematic view for SR which integrates passive radios with active communications, and address its applications in low-power IoT communications in 6G and beyond.

Biography: Ying-Chang Liang is a Professor at University of Electronic Science and Technology of China (UESTC), China, where he leads the Center for Intelligent Networking and Communications (CINC). He was a Professor in University of Sydney, Australia, and a Principal Scientist and Technical Advisor in the Institute for Infocomm Research (I2R), Singapore. His research interest lies in the general area of cognitive radio, dynamic spectrum access, Internet-of-Things, artificial intelligence and machine learning techniques.
Dr Liang was elected a Fellow of the IEEE for contributions to cognitive radio communications, and was also recognized by Thomson Reuters (Now Clarivate Analytics) as a Highly Cited Researcher since 2014. He received the Institute of Engineers Singapore (IES)’s Prestigious Engineering Achievement Award in 2007, and the IEEE Standards Association’s Outstanding Contribution Appreciation Award in 2011. He has also received numerous paper awards, with the recent ones including IEEE ICC Best Paper Awards in 2017 and 2019, IEEE ComSoc’s TAOS Best Paper Award in 2016, and IEEE Jack Neubauer Memorial Award in 2014.
Dr Liang is Founding Editor-in-Chief of IEEE Journal on Selected Areas in Communications-Cognitive Radio Series, and Editor-in-Chief of IEEE Transactions on Cognitive Communications and Networking. He was the Chair of IEEE Communications Society Technical Committee on Cognitive Networks, and served as Guest/Associate Editor of IEEE Transactions on Wireless Communications, IEEE Journal of Selected Areas in Communications, IEEE Signal Processing Magazine, IEEE Transactions on Vehicular Technology, and IEEE Transactions on Signal and Information Processing over Network. He was also an Associate Editor-in-Chief of the World Scientific Journal on Random Matrices: Theory and Applications. Dr Liang was a Distinguished Lecturer of the IEEE Communications Society and the IEEE Vehicular Technology Society, and served as TPC Chair and Executive Co-Chair of IEEE Globecom’17. He will serve as the general chair of IEEE 2018 International Conference on Communication Systems.

Best regards,
Yue Gao
Chair, Technical Committee on Cognitive Networks (TCCN)

Call for videos on “The Role of Cognitive and Intelligent Technologies in COVID-19 Pandemic”

Dear TCCN Members,

I hope this email finds you well.
We would like to bring your attention to this new initiative of the TCCN Technical Committee

Call for videos on “The Role of Cognitive and Intelligent Technologies in COVID-19 Pandemic”

(Download PDF)

The outbreak of COVID-19 has unfortunately spread all over the world and changed the way we live. There is no doubt that the coronavirus pandemic will go down in history as one of the challenges humanity has ever faced. We are interested in receiving videos for either specialized audiences or the general public the various applications of cognitive and intelligent technologies in the fight against COVID-19 and the role of the cognitive technologies research in this battle. We would like to promote and advertise what IEEE ComSoc members are doing in this regard.

Submission instructions

Please send an email to– subject “TCCN ComSoc COVID19 video series” – with the following information:
– Author(s) name(s) and affiliation(s)
– A brief summary of the content of your video (no more than 200 words)
– The IEEE ComSoc member number of at least one of the authors
– A link to your video

The email address has been configured to request a positive confirmation. Upon sending your message you will be asked to confirm by clicking on a link.

Videos can be submitted by 31-December-2020

They will be reviewed by an editorial board appointed by the ComSoc Online Content Board and, if considered to be of enough quality and rigor, they will be edited – if needed – and published in ComSoc video channels. The consent form to be signed allowing IEEE ComSoc to edit and publicly show the video will be forwarded to the authors upon receiving and screening the content.

The editors from TCCN for this video series are Daniel B. da Costa ( and Yuan Ma ( If you have any comment/doubt, please do not hesitate to contact us.

Best Regards,
Prof. Dr. Daniel Benevides da Costa
Department of Computer Engineering, Area: Telecommunications
Federal University of Ceará (UFC)

Virtual Seminar #3

Dear TCCN fellow members,

Please find our 3rd free virtual seminar organised by the IEEE ComSoc TCCN on “Where No Cognitive Radio Has Gone Before: Machine Learning” delivered by Prof. Alexander Wyglinski.

Time and date: EDT 9:00am-10:00am (BST 14:00-15:00), Thursday, 3rd September 2020
Venue: online, registration via
Title: Where No Cognitive Radio Has Gone Before: Machine Learning
Presenter: Prof. Alexander Wyglinski, Worcester Polytechnic Institute, USA


In May 2017, the first-ever space-based cognitive radio experiments were performed using the NASA SCaN Test-bed located on the International Space Station (ISS). Followed by a second series of space-based cognitive radio tests in August 2018, these experiments yielded new knowledge and insights on how intelligent radio systems can operate in very challenging environments such as depths of space. In this talk, I will give an overview of the extensive five-year technical collaboration between Worcester Polytechnic Institute (WPI), Penn State, and NASA Glenn Research Center that resulted in these two space-based cognitive radio experiments in May 2017 and August 2018. In particular, details regarding the use of Reinforcement Learning Neural Networks (RLNNs) to form the core of a cognitive radio medium access control (MAC) layer will be presented, and issues such as catastrophic forgetting affecting the performance of our proposed cognitive radio will be discussed.


Dr. Alexander M. Wyglinski is an internationally recognized expert in wireless communications, cognitive radio, 5G, connected vehicles, software-defined radio, dynamic spectrum access, satellite communications, vehicular technology, wireless system optimization and adaptation, autonomous vehicles, and cyber-physical systems. Dr. Wyglinski is a Full Professor of Electrical and Computer Engineering and a Full Professor of Robotics Engineering (courtesy appointment) at Worcester Polytechnic Institute, Worcester, MA, USA, as well as the Director of the Wireless Innovation Laboratory (WI Lab). Dr. Wyglinski is very active in the technical community, serving on the organizing committees of numerous technical conferences and several journal editorial boards. These activities include serving as the General Co-Chair for the 82nd IEEE Vehicular Technology Conference in Fall 2015, as well as Technical Editor of the IEEE Communications Magazine. From January 2018 to December 2019, Dr. Wyglinski served as the President of the IEEE Vehicular Technology Society, an applications-oriented society of approximately 5000 members that focuses on the theoretical, experimental, and operational aspects of electrical and electronics engineering in mobile radio, motor vehicles, and land transportation. Throughout his academic career, Dr. Wyglinski has published approximately 45 journal papers, over 120 conference papers, nine book chapters, and three textbooks. He is currently being or has been sponsored by organizations such as The MathWorks, Toyota InfoTechnology Center U.S.A., Defense Advanced Research Projects Agency, Naval Research Laboratory, MITRE Corporation, MIT Lincoln Laboratory, Office of Naval Research, Air Force Research Laboratory Space Vehicles Directorate, and the National Science Foundation. Dr. Wyglinski is a Senior Member of the IEEE, as well as a member of Sigma Xi, Eta Kappa Nu, and the ASEE.

Best regards,
Yue Gao
Chair, Technical Committee on Cognitive Networks (TCCN)

Free Virtual Seminar #2

Dear TCCN fellow members,

Please find our 2nd free virtual seminar organised by the IEEE ComSoc TCCN on “From Cognition to Intelligence in Communications Networks” delivered by Professor Octavia Dobre.

Time and date: EDT 9:00am-10:00am (BST 14:00-15:00), Tuesday, 18th August 2020
Venue: online, registration via
Title: From Cognition to Intelligence in Communications Networks
Presenter: Prof Octavia A. Dobre, Memorial University, Canada


Since Mitola’s idea of cognitive radio which arose close to 2000, significant advancements have been made towards applying intelligence to communications networks. While 2020 marks an important milestone in the deployment of 5G wireless networks, planning to deliver enhanced mobile broadband, massive connectivity, ultra-reliability and lower latency, the need to move to beyond 5G wireless (B5G) has emerged in both industry and academia. B5G aims to provide a major paradigm shift from connected things to connected intelligence.

After 20 years, we can state that the time of extending cognition to artificial intelligence (AI) in the field of communications has arrived. The next decade is crucial for research and development activities to achieving a native AI-based 6G network, capable of not only advancing the digitalization of vertical industries, but also of addressing human challenges through a connected world.

This talk will provide a brief overview of advances in transitioning from cognition to intelligence in communications networks, with emphasis on the features of 5G, as well as on the envisioned 6G wireless. It will discuss the intelligence integration supported by mobile edge computing in both terrestrial and vertical dimensions of emerging communications networks, along with modalities of developing a deep learning network. Furthermore, applications of machine learning techniques to communications will be presented, e.g., for the identification of the signal type in both wireless and optical communications areas. Finally, the talk will highlight research directions for the application of AI to the field of communications.


Octavia A. Dobre is a Professor and Research Chair at Memorial University, Canada. Her research interests encompass various wireless technologies, such as non-orthogonal multiple access and intelligent reflective surfaces, blind signal identification, as well as optical and underwater communications. She has co-authored over 300 refereed papers in these areas.

Dr. Dobre serves as the Editor-in-Chief (EiC) of the IEEE Open Journal of the Communications Society. She was the EiC of the IEEE Communications Letters, as well as a Senior Editor, Editor, and Guest Editor for various prestigious journals and magazines.

Dr. Dobre was a Royal Society Scholar and a Fulbright Scholar. She obtained Best Paper Awards at various conferences, including IEEE ICC, IEEE Globecom, and IEEE WCNC. Dr. Dobre is a Fellow of the Engineering Institute of Canada and a Fellow of the IEEE.

Best regards,
Yue Gao
Chair, Technical Committee on Cognitive Networks (TCCN)