Dr. P. SURESH VENUGOPAL ME, Ph. D [FIE(I), MIEEE, LMISTE, LMIETE, LMQCFI]’s Post

🔥 Read our Highly Cited Paper 📚 LUCC Simulation Based on RF-CNN-LSTM-CA Model with High-Quality Seed Selection Iterative Algorithm 🔗 https://lnkd.in/gNsfSXwz 👨🔬 by Minghao Liu, Haiyan Chen, Liai Qi and Chun Chen 🏫 Chongqing University of Posts and Telecommunications #landuse #terativealgorithm

Moments from the 6th IEEE ICTMOD Conference

I'm honored to co-lead the new IEEE Geoscience and Remote Sensing Society (GRSS) #MIRS working group on Physical Model Informed Machine Learning (PIML). Led by Prof. Grigorios Tsagkatakis (Foundation for Research and Technology - Hellas (FORTH), the #PIML Working Group is grounded in the belief that integrating #physicalmodels can significantly enhance #machinelearning approaches in #geoscience and #remotesensing by embedding essential constraints from #electromagnetism and #geophysics. #IEEE #GRSS #IEEEGRSS #MIRS #PIML

It is a pleasure to announce that our paper "Large-Scale Crowd Size Classification With a Wi-Fi-Based Passive Radar" has been published in the IEEE Sensors Journal! https://lnkd.in/diUCgSKk In this paper, we develop a privacy-friendly crowd size classification framework relying on a passive radar exploiting Wi-Fi signals at the physical layer, for applications in public event safety management and mobility analysis. --> For more details: our contribution is to demonstrate experimentally that a Wi-Fi-based passive radar using preambles from the recent 802.11ax standard can classify crowd sizes of up to 100 people. This extends previous studies limited to a few dozen people and older Wi-Fi standards. The PDF of the paper (author's version) is accessible on the institutional repository of ULB: https://lnkd.in/dTZrn9a3 and on Researchgate: https://lnkd.in/dBctP2b9

Our latest work, "Distributed versus Centralized Sensing in Cell-Free Massive MIMO," has been accepted for publication in the IEEE Wireless Communications Letters! 😊 Many thanks to my co-authors Qinglin Zou, Zinat Behdad, Cicek Cavdar! You can find the early access version on https://lnkd.in/dZdEcXXZ In this study, we explore a novel approach to integrated sensing and communication (ISAC) systems in a cell-free massive MIMO setup. We compare traditional centralized sensing with a new distributed approach where partial sensing occurs at the access points (APs). The results show that while the fully-informed distributed approach matches centralized performance, the partly-informed setup achieves significant signaling load reductions.

OE Dare, K Okokpujie, E Adetiba, O Idowu-Brismark, A Abayomi, RJ Kala, E Owolabi, UC Ukpong. Development of a Conditional Generative Adversarial Network Model for Television Spectrum Radio Environment Mapping, in IEEE Access, vol. 12, pp. 197632-197644, 2024, doi: 10.1109/ACCESS.2024.3521998. Keywords: TV; Generative adversarial networks; Training; Radio transmitters; Generators; Atmospheric modeling; Accuracy; White spaces; Estimation; Current measurement; Conditional generative adversarial network (CGAN);dynamic spectrum sharing (DSS);radio environment map (REM);received signal strength (RSS); television white spaces (TVWS) https://lnkd.in/dWVBFTbV

Our IEEE COLCOM paper is already available in IEEE Xplore. Enjoy the read. "On the feasibility of using an encoder-only model for anomaly detection: the BERTAD approach.

cont'd The position statement and short bio of Prof. Giacomo Oliveri can be found below POSITION STATEMENT If elected as an Ad-Com member, I have set forth the following objectives: - Inclusivity: I am committed to ensuring that every member's voice is not only heard but actively sought out from every corner of our community. Informed decisions that benefit everyone will be a priority. - Industry Engagement: I strongly advocate for increased involvement of both young and experienced professionals from various industries in IEEE AP initiatives. This can be achieved by integrating them into strategic decision-making processes, events, and society-wide initiatives. - Impact and Awareness: To narrow the gap between perceived and actual impact, I will initiate dedicated AP events and outreach programs. These efforts will serve to educate the public on the relevance of AP-S research in addressing present and future technological and societal challenges. - Multidisciplinary Advancement: Recognizing the vital role of a multidisciplinary approach, I will champion the development of AP-S sponsored activities and publications that underscore the pivotal contribution of antennas and propagation in cross-disciplinary research areas. This will propel our society towards greater success and relevance. SHORT BIO Giacomo Oliveri (M’06-SM’13-F’24) is an Associate Professor at the University of Trento, Italy, and a Board Member of the ELEDIA Research Center. He has been Adjunct Professor at CentraleSupélec and member of the Laboratoire des Signaux et Systèmes (L2S)@CentraleSupélec, France, from 2012 to 2017, an Invited Associate Professor at the University of Paris Sud in 2014. He is author of >450 peer-reviewed papers, among which >150 on international journals. His works have been cited >8800 times and his H-index is 47 (Scopus). His research work is currently focused on smart electromagnetic environment methodologies and technologies, system-by-design and metamaterials, and antenna array synthesis. For the AP Society, Prof. Oliveri has been Chair of the Press Liaison Committee, Coordinator of the Industrial YP Travel Grants, Member of the Fellowships Evaluation Committee, Member of the Field Awards Committee, Member of the IEEE AP-S Membership Benefits Committee, and AE for IEEE AWPL and IEEE JMMCT.

Good news, our paper "Can 3GPP New Radio Non-Terrestrial Networks Meet the IMT-2020 Requirements for Satellite Radio Interface Technology?" was accepted to the IEEE GlobeCom conference. Good work Lauri Sormunen Verneri Rönty Henrik Martikainen Jani Puttonen Timo Hamalainen! In the paper, we evaluate the requirements for 5G over satellite in the case of 3GPP non-terrestrial networks through system simulations. Link to the paper in the comments 👇. Magister Solutions Ltd. University of Jyväskylä IEEE Communications Society #3gpp

🎉 Honored to announce that our research paper, "𝘙𝘰𝘣𝘶𝘴𝘵 𝘚𝘱𝘰𝘰𝘧𝘪𝘯𝘨 𝘋𝘦𝘵𝘦𝘤𝘵𝘪𝘰𝘯 𝘪𝘯 𝘎𝘕𝘚𝘚-𝘚𝘋𝘙 𝘚𝘺𝘴𝘵𝘦𝘮𝘴: 𝘈 𝘛𝘸𝘰-𝘚𝘵𝘢𝘨𝘦 𝘔𝘦𝘵𝘩𝘰𝘥 𝘧𝘰𝘳 𝘙𝘦𝘢𝘭-𝘛𝘪𝘮𝘦 𝘚𝘪𝘨𝘯𝘢𝘭 𝘐𝘯𝘵𝘦𝘨𝘳𝘪𝘵𝘺," has been published on IEEE Xplore! 🎉 This collaborative effort with Fatima Tuz Zahra and Adil Ali Raja, Ph.D. dives into methods on how to improve and maintain the integrity of GNSS Systems. 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝘁𝗵𝗲 𝗱𝗲𝘁𝗮𝗶𝗹𝘀 𝗵𝗲𝗿𝗲: https://lnkd.in/e_Fnp9xR #GNSS #SpoofingDetection #SignalProcessing #SDR #IEEE