BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Pacific BEGIN:DAYLIGHT DTSTART:20210314T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20211107T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20210917T190500Z UID:8A124BA7-796C-40D9-A063-2805506B737E DTSTART;TZID=US/Pacific:20210913T080000 DTEND;TZID=US/Pacific:20210917T120000 DESCRIPTION:The jointly\, internationally\, organized by IEEE Vizag Bay Sec tion [Communications Society & SPS](https://r10.ieee.org/vizagbay/) Joint Chapter\, Vizag\, India\, IEEE Long Island Section ([SPS](http://www.ieee. li/sp)) Chapter\, New York\, USA\, and IEEE [Finland SP/CAS](https://site. ieee.org/finland/) Chapter\, Finland presents the following technical lect ures:\n\nDay 1: Sept. 13\, 2021 8am-12pm PST\n\nTopic: LDPC Based Advanced Error Correction Coding and 5G\n\nDr. Kiran Gunnam is an innovative techn ology leader with vision and passion who effectively connects with individ uals and groups. Dr. Gunnam's breakthrough contributions are in the areas of advanced error correction systems\, storage class memory systems and co mputer vision based localization & navigation systems. He has helped drive organizations to become industry leaders through ground-breaking technolo gies. Dr. Gunnam has 75 issued patents and 100+ patent applications/invent ion disclosures on algorithms\, architectures and real-time low-cost imple mentations for computing\, storage and computer vision systems. He is the lead inventor/sole inventor for 90% of them. Dr. Gunnam’s patented work has already been incorporated in more than 2 billion data storage and WiFi chips and is set to continue to be incorporated in more than 500 million chips per year.\n\nDr. Gunnam is also a key contributor to the precise loc alization and navigation technology commercialized for autonomous aerial r efueling and space docking applications. His recent patent pending inventi ons on low-complexity simultaneous localization and mapping (SLAM) and 3D convolutional neural network (CNN) for object detection\, tracking and cla ssification are being commercialized for LiDAR+camera based perception for autonomous driving and robotic systems.\n\nDr. Gunnam received his MSEE a nd PhD in Computer Engineering from Texas A&M University\, College Station . He is world-renowned for balance between strong analytical ability and p ragmatic insight into implementation of advanced technology. He served as IEEE Distinguished Speaker and Plenary Speaker for 25+ events and internat ional conferences and more than 3000 attendees in the USA\, Canada and Asi a benefited from his talks.\n\nDay 2: Sept. 14\, 2021 8am-12pm PST\n\nTopi c: LDPC Based Advanced Error Correction Coding and 5G\n\nDr. Francisco Gar cía-Herrero received the B.Sc. degree in telecommunication engineering fr om the Escuela Politecnica Superior de Gandia\, Spain\, in 2008\, and the M.S. and Ph.D. degrees in electrical engineering from the Universitat Poli tècnica de València\, Spain\, in 2010 and 2013\, respectively. Francisco Garcia-Herrero has worked as a Lecturer and a Researcher at several unive rsities\, including the European University Miguel de Cervantes and the Un iversitat Politècnica de València.

 Francisco Garcia-Herrero is cur rently an Associate Professor and a Researcher with the Universidad Antoni o de Nebrija.

His research interests include hardware and algorithmic optimizations of error-control decoders and fault-tolerance electronics i n communication and storage systems.\n\nDay 3: Sept. 15\, 2021 8am-12pm PS T\n\nTopic: GPU Acceleration for 5G Signal Processing and Machine Learning \n\nDr. Chris Dick joined NVIDIA in 2020 where he is a wireless architect and the technical lead for the application of Artificial Intelligence and Machine Learning to 5G and 6G wireless. From 1998 to 2020 he was a Fellow and the DSP Chief Architect at Xilinx.\n\nIn his 30 years working in signa l processing and communications he has delivered silicon and software prod ucts for 3G\, 4G and 5G baseband DSP and Docs is 3.1 cable access. He has performed research and delivered products for digital front-end (DFE) tech nology for cellular systems with a particular emphasis on digital pre-dist ortion for power amplifier linearization. Chris has also worked extensivel y on silicon architecture and compilers for machine learning.\n\nPrior to moving to Silicon Valley in 1998 he was a tenured academic in Melbourne Au stralia for 13 years. He has over 200 publications\, 70 patents and is an adjunct Professor at Santa Clara University where he has taught courses on real-time signal processing and machine learning for 18 years. In 2018 he was awarded the IEEE Communications Society Award for Advances in Communi cation for research in the area of full-duplex wireless communication.\n\n Day 4: Sept. 16\, 2021 8am-12pm PST\n\nTopic: Building Low Latency and Low Power Smarcity Applications\n\nDr. Seong Hwan Kim is a Sr. Director at Xi linx and leading datacenter systems architecture team. His key focus areas include accelerating workloads in Datacenter Compute\, Network\, and Stor age platforms\, defining solutions utilizing various Xilinx FPGA platforms . His recent acceleration objectives are creating clear value propositions for Smart World applications utilizing Xilinx ML inference and video tran scoding technologies. In addition to this Smart World application accelera tion\, database acceleration\, computational storage\, HPC\, Fintech\, and smart NIC are other focus areas. Prior to his current role\, he served as a system architect at AMD\, LSI/Agere and Lucent Technologies. He has mor e than 25 years of industry and research experience in the field of networ king and datacenter computing. He holds a Ph.D. degree in Electrical Engin eering from the State University of New York at Stony Brook and an M.B.A f rom Lehigh University. He has 12 patents and more than numerous conference and journal papers.\n\nDay 5: Sept. 17\, 2021 8am-12pm PST\n\nTopic: Mach ine Learning for Next Generation Wireless Communication Systems 5G/6G\n\nM r. Ashok Kumar Reddy Chavva (M’05– SM’14) received M.E degree in tel ecommunication engineering from the Indian Institute of Science\, Bangalor e\, India\, in 2005. In June 2005\, he joined a wireless startup Beceem Co mmunications which developed the first 4G system based on WiMAX. Here\, he was involved in developing physical layer algorithms for broadband wirele ss systems. Broadcom later acquired this team. He worked with Broadcom til l November 2013. Since November 2013\, he has been with Samsung R&D Instit ute India Bangalore\, India\, currently leads an R&D team that works on di fferentiating mobile devices. His research interests include algorithm des ign for the physical layer\, performance evaluation of wireless communicat ion systems for Beyond-5G and 6G systems\, and machine learning for commun ications. He received the best paper award at IEEE CCNC\, Las Vegas\, USA\ , 2016 and the best paper (third) at IEEE World 5G Forum\, 2020.\n\nVirtua l: https://events.vtools.ieee.org/m/278376 LOCATION:Virtual: https://events.vtools.ieee.org/m/278376 ORGANIZER:signal@ieee.li SEQUENCE:8 SUMMARY:Welcome to the SPS Seasonal School on Signal Processing and Communi cation Systems for 5G URL;VALUE=URI:https://events.vtools.ieee.org/m/278376 X-ALT-DESC:Description: <br /><p>The jointly\, internationally\, organized by IEEE Vizag Bay Section&nbsp\;<a href="https://r10.ieee.org/vizagbay/">C ommunications Society &amp\; SPS</a>&nbsp\;Joint Chapter\, Vizag\, India\, IEEE Long Island Section&nbsp\;(<a href="http://www.ieee.li/sp">SPS</a>)& nbsp\;Chapter\, New York\, USA\, and IEEE&nbsp\;<a href="https://site.ieee .org/finland/">Finland SP/CAS</a>&nbsp\;Chapter\, Finland presents the fol lowing technical lectures:</p>\n<p><strong>Day 1: Sept. 13\, 2021 8am-12pm PST</strong></p>\n<p><strong>Topic:</strong><strong>&nbsp\;</strong>LDPC Based Advanced Error Correction Coding and 5G</p>\n<p><strong>Dr. Kiran Gu nnam</strong>&nbsp\;is an innovative technology leader with vision and pas sion who effectively connects with individuals and groups. Dr. Gunnam's br eakthrough contributions are in the areas of advanced error correction sys tems\, storage class memory systems and&nbsp\;computer vision based locali zation &amp\; navigation systems. He has helped drive organizations to bec ome industry leaders through ground-breaking technologies. Dr. Gunnam has 75 issued patents and 100+ patent applications/invention disclosures on al gorithms\, architectures and real-time low-cost implementations for comput ing\, storage and computer vision systems. He is the lead inventor/sole in ventor for 90% of them. Dr. Gunnam&rsquo\;s patented work has already been incorporated in more than 2 billion data storage and WiFi chips and is se t to continue to be incorporated in more than 500 million chips per year.< /p>\n<p>Dr. Gunnam is also a key contributor to the precise localization a nd navigation technology commercialized for autonomous aerial refueling an d space docking applications. His recent patent pending inventions on low- complexity simultaneous localization and mapping (SLAM) and 3D convolution al neural network (CNN) for object detection\, tracking and classification are being commercialized for LiDAR+camera based perception for autonomous driving and robotic systems.</p>\n<p>Dr. Gunnam received his MSEE and PhD in Computer Engineering from Texas A&amp\;M University\, College Station. He is world-renowned for balance between strong analytical ability and pr agmatic insight into implementation of advanced technology. He served as I EEE Distinguished Speaker and Plenary Speaker for 25+ events and internati onal conferences and more than 3000 attendees in the USA\, Canada and Asia benefited from his talks.</p>\n<p><strong>Day 2: Sept. 14\, 2021 8am-12pm PST</strong></p>\n<p><strong>Topic:</strong><strong>&nbsp\;</strong>LDPC Based Advanced Error Correction Coding and 5G</p>\n<p><strong>Dr. Francisc o Garc&iacute\;a-Herrero</strong>&nbsp\;received the B.Sc. degree in telec ommunication engineering from the Escuela Politecnica Superior de Gandia\, Spain\, in 2008\, and the M.S. and Ph.D. degrees in electrical engineerin g from the Universitat Polit&egrave\;cnica de Val&egrave\;ncia\, Spain\, i n 2010 and 2013\, respectively. Francisco Garcia-Herrero has worked as a L ecturer and a Researcher at several universities\, including the European University Miguel de Cervantes and the Universitat Polit&egrave\;cnica de Val&egrave\;ncia.

 Francisco Garcia-Herrero is currently an Associate Professor and a Researcher with the Universidad Antonio de Nebrija.

 His research interests include hardware and algorithmic optimizations of e rror-control decoders and fault-tolerance electronics in communication and storage systems.</p>\n<p><strong>Day 3: Sept. 15\, 2021 8am-12pm PST</str ong></p>\n<p><strong>Topic:</strong><strong>&nbsp\;</strong>GPU Accelerati on for 5G Signal Processing and Machine Learning</p>\n<p><strong>Dr. Chris Dick</strong>&nbsp\;joined NVIDIA in 2020 where he is a wireless architec t and the technical lead for the application of Artificial Intelligence an d Machine Learning to 5G and 6G wireless. From 1998 to 2020 he was a Fello w and the DSP Chief Architect at Xilinx.</p>\n<p>In his 30 years working i n signal processing and communications he has delivered silicon and softwa re products for 3G\, 4G and 5G baseband DSP and Docs is 3.1 cable access. He has performed research and delivered products for digital front-end (DF E) technology for cellular systems with a particular emphasis on digital p re-distortion for power amplifier linearization. Chris has also worked ext ensively on silicon architecture and compilers for machine learning.</p>\n <p>Prior to moving to Silicon Valley in 1998 he was a tenured academic in Melbourne Australia for 13 years. He has over 200 publications\, 70 patent s and is an adjunct Professor at Santa Clara University where he has taugh t courses on real-time signal processing and machine learning for 18 years . In 2018 he was awarded the IEEE Communications Society Award for Advance s in Communication for research in the area of full-duplex wireless commun ication.</p>\n<p><strong>Day 4: Sept. 16\, 2021 8am-12pm PST</strong></p>\ n<p><strong>Topic:</strong><strong>&nbsp\;</strong>Building Low Latency an d Low Power Smarcity Applications&nbsp\;</p>\n<p><strong>Dr.&nbsp\;Seong H wan Kim</strong>&nbsp\;is a Sr. Director at Xilinx and leading datacenter systems architecture team. His key focus areas include accelerating worklo ads in Datacenter Compute\, Network\, and Storage platforms\, defining sol utions utilizing various Xilinx FPGA platforms. His recent acceleration ob jectives are creating clear value propositions for Smart World application s utilizing Xilinx ML inference and video transcoding technologies. In add ition to this Smart World application acceleration\, database acceleration \, computational storage\, HPC\, Fintech\,&nbsp\;and smart NIC are other f ocus areas. Prior to his current role\, he served as a system architect at AMD\, LSI/Agere and Lucent Technologies. He has more than 25 years of ind ustry and research experience in the field of networking and datacenter co mputing. He holds a Ph.D. degree in Electrical Engineering from the State University of New York at Stony Brook and an M.B.A from Lehigh University. He has 12 patents and more than numerous conference and journal papers.</ p>\n<p><strong>Day 5: Sept. 17\, 2021 8am-12pm PST</strong></p>\n<p><stron g>Topic:</strong>&nbsp\;Machine Learning for Next Generation Wireless Comm unication Systems 5G/6G</p>\n<p><strong>Mr. Ashok Kumar Reddy Chavva</stro ng>&nbsp\;(M&rsquo\;05&ndash\; SM&rsquo\;14) received M.E degree in teleco mmunication engineering from the Indian Institute of Science\, Bangalore\, India\, in 2005. In June 2005\, he joined a wireless startup Beceem Commu nications which developed the first 4G system based on WiMAX. Here\, he wa s involved in developing physical layer algorithms for broadband wireless systems. Broadcom later acquired this team. He worked with Broadcom till N ovember 2013. Since November 2013\, he has been with Samsung R&amp\;D Inst itute India Bangalore\, India\, currently leads an R&amp\;D team that work s on differentiating mobile devices. His research interests include algori thm design for the physical layer\, performance evaluation of wireless com munication systems for Beyond-5G and 6G systems\, and machine learning for communications. He received the best paper award at IEEE CCNC\, Las Vegas \, USA\, 2016 and the best paper (third) at IEEE World 5G Forum\, 2020.</p > END:VEVENT END:VCALENDAR