News
IEEE Communication Society New York Chapter, Technical Seminar Series (9)
The NY ComSoc chapter hosted a seminar on Nov 8, 2022. The title of the presentation is “Bayesian Learning and Bio-Inspired Autonomous Search in Aquatic Environment”, by Prof. Fumin Zhang from the Georgia Institute of Technology.
Date: Tuesday Nov 8, 2022
Time: 5pm – 6:15pm Eastern Time (US & Canada)
Location: Hybrid, online over ZOOM, and in-person at CCNY in New York, USA
vTool event page: https://events.vtools.ieee.org/m/330888
Primary Host: New York Section Chapter,COM19
Event Agenda
05:00 PM – 05:10 PM: Setting up the projector and starting the ZOOM meeting
05:10 PM – 06:00 PM: Presentation
06:00 PM – 06:20 PM: Q&A
Talk Title
Bayesian Learning and Bio-Inspired Autonomous Search in Aquatic Environment
Abstract
Search and rescue in aquatic environments can be very challenging and costly. The employment of robotic platforms and autonomy might significantly increase the efficiency and reduce the risk to humans in search and rescue missions. Motivated by insights from the autonomous collective foraging behaviors performed by animals in aquatic environments, this talk introduces models and provable strategies from control theory and robotics towards bio-inspired autonomous search operations. The bio-inspired methods generalizes to a Bayesian learning framework where insights from biology are well justified by systems theory such as reachability, consistency and optimality. Experimental effort with promising results demonstrates that bio-inspired autonomy might be preferred in aquatic environment that features severe limitation in communication, localization, and power consumption.
Speaker Bio
Dr. Fumin ZHANG is Dean’s Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. He received a PhD degree in 2004 from the University of Maryland (College Park) in Electrical Engineering, and held a postdoctoral position in Princeton University from 2004 to 2007. His research interests include mobile sensor networks, maritime robotics, control systems, and theoretical foundations for cyber-physical systems. He received the NSF CAREER Award in September 2009 and the ONR Young Investigator Program Award in April 2010. He is currently serving as the co-chair for the IEEE RAS Technical Committee on Marine Robotics, associate editors for IEEE Journal of Oceanic Engineering, Robotics and Automation Letters, and IEEE Transactions on Automatic Control.
Total Registration: 57 (as of 11/08/2022)
Total attendance: 7 online, 44 in-person
IEEE Communication Society New York Chapter, Technical Seminar Series (8)
The NY ComSoc chapter hosted a seminar on March 29, 2022. The title of the presentation is “Integration of Terrestrial Networks and Extreme Environments: Challenges and Capabilities”, by Prof. Mehdi Rahmati. The event is co-hosted by other 43 IEEE ComSoc chapters (see details below).
Date: Thursday May 5, 2022
Time: 7pm – 8:15pm Eastern Time (US & Canada)
Location: New York, USA
vTool event page: https://events.vtools.ieee.org/m/313095
Primary Host: New York Section Chapter,COM19
Event Agenda
06:45 PM – 07:00 PM: Connecting to the ZOOM meeting
07:00 PM – 07:05 PM: Welcoming & IEEE ComSoc Membership Promotion (policies, abstract)
07:05 PM – 07:10 PM: Speaker Introduction
07:10 PM – 07:55 PM: Presentation (45 minutes)
07:55 PM – 08:10 PM: Questions and Answers (15 minutes)
08:10 PM – 08:15 PM: Closing Remarks
Talk Title
Waveform Design for NextG Wireless Networks
Abstract
The holistic approach to wireless network agility and optimally controlled wireless spectrum co-existence calls for joint treatment of the space-time-frequency continuum and the design of carrier waveforms (signatures) that utilize the entire continuum of the readable frequency spectrum (all-spectrum approach). Such treatment translates to all-spectrum agile waveform design in space that is repeatedly optimized in time with speed that is commensurate with the coherence time of the varying network dynamics and environmental conditions. In this talk, I will discuss principled algorithms for all-spectrum waveform optimization where individual transceiver pairs autonomously optimize coded-repeats of one or more basic pulses over different finite alphabets. This approach provides the waveform fabric (signature) on which we can carry information symbols with any desirable level of interference avoidance allowed by the physics of the medium and our hardware limitations. The effectiveness of the all-spectrum approach is illustrated using narrowband and wideband transceiver pairs and challenging ad-hoc network deployments of software-defined radios in a controlled contested environment.
Speaker Bio
George Sklivanitis is the Schmidt Research Assistant Professor of Electrical Engineering and Computer Science, a faculty fellow with the Institute for Sensing and Embedded Network Systems Engineering (I-SENSE) and a founding member of the Center for Connected Autonomy and Artificial Intelligence (CA-AI) at Florida Atlantic University (FAU). Prior to joining FAU, Dr. Sklivanitis received his Ph.D. degree in Electrical Engineering from the State University of New York at Buffalo, NY, USA in 2018. His research focuses on modeling, optimization and experimental evaluation of autonomous networked AI systems in challenging, congested (and sometimes contested) communication environments such as underwater, in the sky and in space. He has more than 30 publications in predominantly IEEE venues and in 2014 he ranked 1st among all U.S. Universities in the Nutaq Software-defined Radio Academic US National Contest. In 2021, he was recognized by the Economist as one of the three winners of the World Ocean Initiative’s Ocean Changemakers Challenge. In 2017, he co-founded the IEEE Workshop on Wireless Communications and Networking in Extreme Environments (WCNEE). Dr. Sklivanitis has won several teaching, research and entrepreneurial awards, including: Best Paper Award Finalist in the 15th IEEE International Workshop on Antenna Technology (iWAT-2019); 2017 SUNY Chancellor’s Award; Best Demo Award in the 10th ACM International Conference on Underwater Networks and Systems (WUWNet-2015); and 2015 SUNY Buffalo Graduate Student Award for Excellence in Teaching.
Total Registration: 59 (as of 05/04/2022)
Peak attendance: 59
IEEE Communication Society New York Chapter, Technical Seminar Series (7)
The NY ComSoc chapter hosted a seminar on March 29, 2022. The title of the presentation is “Integration of Terrestrial Networks and Extreme Environments: Challenges and Capabilities”, by Prof. Mehdi Rahmati. The event is co-hosted by other 43 IEEE ComSoc chapters (see details below).
Date: Tuesday March 29, 2022
Time: 7pm – 8:15pm Eastern Time (US & Canada)
Location: New York, USA
vTool event page: https://events.vtools.ieee.org/m/308383
Primary Host: New York Section Chapter,COM19
Co-Hosts:
Atlanta Section Chapter, C16
Atlanta Section Chapter, COM19
Baltimore Section Chapter,COM19
Baltimore Section Chapter,SP01
Binghamton Section Chapter,COM19
Buenaventura Section Chapter,COM19
Buffalo Section Chapter,COM19
Canadian Atlantic Section Chapter, COM19
Central Texas Sect Jt. Chap,COM19/SP01/CT08 Austin
Chicago Section Chapter, COM19
Coastal Los Angeles Section Chpt, SP01/VT06/COM19
Columbus Section Jt Chapter,C16/COM19
Florida West Coast Sec,SP01/COM19
Foothill Section Chapter,COM19
Fort Worth Section Chapter, COM19
Hamilton Section Chapter, SP01/IT12/COM19
Houston Section Chapter,COM19
Jamaica Section Chapter, COM19
Kingston Section Chapter, C16/COM19
Kitchener-Waterloo Section Chapter,COM19
London Section Joint Chapter, COM19/BT02
Lone Star Section Jt Chap,COM19/SP01 San Antonio
Long Island Section Chapter,COM19
Maine Section Chapter,C16/COM19
Mohawk Valley Section Chapter,COM19
Montreal Section Chapter, IT12/COM19
New Jersey Coast Section Chapter,COM19
Newfoundland Labrador Sect Chap, C16/COM19/CAS04
North Jersey Section Chapter,COM 19
Oakland-East Bay Section Chapter, COM19
Orange County Section Chapter,SP01/COM19
Orlando Section Jt. Chapter, SP01/COM19
Ottawa Section Jt. Chapter, BT02/CT08/COM19
Quebec Section Jt. Chapter, SP01/COM19
Saint Maurice Sect Chap, COM19
Santa Clara Valley Section Chapter,COM19
Seattle Sect Jt. Chap, COM19/VT06/BT02/IT12/ITS38
Syracuse Section
Vancouver Jt Chpt COM19/PHO36/BT02/IT12
Victorian Section Chapter, COM19
Washington Section Chapter,COM19
Windsor Section Joint Chapter, SP01/COM19
Winnipeg Section Chapter, COM19
Event Agenda
06:45 PM – 07:00 PM: Connecting to the ZOOM meeting
07:00 PM – 07:05 PM: Welcoming & IEEE ComSoc Membership Promotion (policies, abstract)
07:05 PM – 07:10 PM: Speaker Introduction
07:10 PM – 07:55 PM: Presentation (45 minutes)
07:55 PM – 08:10 PM: Questions and Answers (15 minutes)
08:10 PM – 08:15 PM: Closing Remarks
Talk Title
Integration of Terrestrial Networks and Extreme Environments: Challenges and Capabilities
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.
Speaker 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).
Total Registration: 158 (as of 03/29/2022)
Peak attendance: 104
Audio transcript is available upon request (the website doesn’t allow the upload of the file type).
IEEE Communication Society New York Chapter, Technical Seminar Series (6)
The NY ComSoc chapter hosted a seminar on Nov 30, 2021. The title of the presentation is “Algorithm and Hardware Co-Design for Energy-Efficient Deep Learning”, by Prof. Bo Yuan. The event is co-hosted by New Jersey Coast Section Chapter.
Date: Friday Oct 29, 2021
Time: 7pm – 8:15pm Eastern Time (US & Canada)
Location: New York, USA
vTool event page: https://events.vtools.ieee.org/m/282338
Primary Host: New York Section Chapter,COM19
Co-Hosts:
New Jersey Coast Section Chapter, COM19
Event Agenda
06:45 PM – 07:00 PM: Connecting to the ZOOM meeting
07:00 PM – 07:05 PM: Welcoming & IEEE ComSoc Membership Promotion (policies, abstract)
07:05 PM – 07:10 PM: Speaker Introduction
07:10 PM – 07:55 PM: Presentation (45 minutes)
07:55 PM – 08:10 PM: Questions and Answers (15 minutes)
08:10 PM – 08:15 PM: Closing Remarks
Talk Title
Algorithm and Hardware Co-Design for Energy-Efficient Deep Learning
Abstract
In the emerging artificial intelligence era, deep neural networks (DNNs), a.k.a. deep learning, have gained unprecedented success in various applications. However, DNNs are usually storage intensive, computation intensive and very energy consuming, thereby posing severe challenges on the future wide deployment in many application scenarios, especially for the resource-constraint low-power IoT application and embedded systems. In this talk, I will introduce the algorithm/hardware co-design works for energy-efficient DNN in my group. First, I will show the use of low displacement rank (LDR) matrices and low-rank tensor can enable the construction of low-complexity DNN models as well as the corresponding energy-efficient DNN hardware accelerators. In the second part of my talk, I will show the benefit of using structured and unstructured sparsity of DNN for designing low-latency and low-power DNN hardware accelerators.
Speaker Bio
Dr. Bo Yuan is currently the assistant professor in the Department of Electrical and Computer Engineering in Rutgers University. Before that, he was with City University of New York from 2015-2018. Dr. Bo Yuan received his bachelor and master degrees from Nanjing University, China in 2007 and 2010, respectively. He received his PhD degree from University of Minnesota, Twin Cities in 2015. His research interests include algorithm and hardware co-design and implementation for machine learning and signal processing systems, error-resilient low-cost computing techniques for embedded and IoT systems and machine learning for domain-specific applications. He is the recipient of Global Research Competition Finalist Award in Broadcom Corporation. Dr. Yuan serves as technical committee track chair and technical committee member for several IEEE/ACM conferences. He is the associated editor of Springer Journal of Signal Processing System.
Total Registration: 73 (as of 11/30/2021)
Peak attendance: 56
IEEE Communication Society New York Chapter, Technical Seminar Series (5)
The NY ComSoc chapter hosted a Virtual Distinguished Lecturer (VDL) talk on Oct 29, 2021. The presentation is “Connecting Space Assets to the Internet: Challenges and Solutions “, by Prof. Mohammed Atiquzzaman, with a ComSoc session number 02136. The event is co-hosted by other 66 IEEE chapters (see details below).
Date: Friday Oct 29, 2021
Time: 8pm – 9:15pm Eastern Time (US & Canada)
Location: New York, USA
vTool event page: https://events.vtools.ieee.org/m/282376
Primary Host: New York Section Chapter,COM19
Co-Hosts:
Fort Worth Section Chapter, COM19
Twin Cities Section Jt. Chapter, SP01/COM19
Philadelphia Section
Bangladesh Section Chapter, COM19
Harbin Section Chapter, COM19
Jamaica Section Chapter, COM19
Foothill Section Chapter,COM19
Pittsburgh Section Jt Chapter,VT06/COM19
Malaysia Section Jt Chap,VT06/COM19
Baltimore Section Chapter,COM19
Toronto Section Chapter, COM19/BT02
Long Island Section Chapter,COM19
Central Texas Sect Jt. Chap,COM19/SP01/CT08 Austin
Thailand Section Chapter, COM19
Binghamton Section Chapter,COM19
Indonesia Section Chapter,COM19
Northern Australia Section Jt. Chap, MTT17/COM19
Oakland-East Bay Section Chapter, COM19
Santa Clara Valley Section Chapter,COM19
Guangzhou Section Jt. Chapter, SP01/COM19-Shenzhen
Hyderabad Section Chapter,COM19
South Australia Section, SP01/COM19
Pune Section Chapter, COM19
Hamilton Section Chapter, SP01/IT12/COM19
Buenaventura Section Chapter,COM19
New South Wales Section Jt Chapter,SP01/COM19/OE22
Tokyo/FK/HR/NG/SP/SK/SE Jt Sec Chap,COM19
Central Indiana Section Jt. Chapter,SP01/COM19
Chicago Section Chapter, COM19
Canadian Atlantic Section Chapter, COM19
Coastal Los Angeles Section Chpt, SP01/VT06/COM19
Windsor Section Joint Chapter, SP01/COM19
Maine Section Chapter,C16/COM19
Kingston Section Chapter, C16/COM19
Central Iowa Section Jt. Chapter, SP01/CAS04/COM19
Columbus Section Jt Chapter,C16/COM19
Atlanta Section Chapter, COM19
Galveston Bay Section Chapter, COM19
Winnipeg Section Chapter, COM19
Seattle Sect Jt. Chap, COM19/VT06/BT02/IT12/ITS38
Karachi Section Chapter,COM19
Kansai Section Chapter,COM19
Orange County Section Chapter,SP01/COM19
Saint Maurice Sect Chap, COM19
Southeastern Michigan Sec,AES10/COM19
Kolkata Section Chapter, COM19
Madras Section Chapter, COM19
Victorian Section Chapter, COM19
Huntsville Section Jt. Chapter,AP03/MTT17/COM19
Northwest Florida Section Chap,C16/COM19
Xian Section Chapter, COM19
Hong Kong Section Jt. Chapter, CAS04/COM19
Montreal Section Chapter, IT12/COM19
Kitchener-Waterloo Section Chapter,COM19
Shanghai Section Chapter, COM19
North Saskatchewan Sect. Jt. Chap,CAS04/COM19/SP01
Northern Virginia Section Chapter,COM19
North Jersey Section Chapter,COM 19
Washington Section Chapter,COM19
New Jersey Coast Section Chapter,COM19
Bangalore Section Chapter, COM19
Kansas City Section Chapter, C16
Coastal South Carolina Chapter,C16/COM19/PE31
Buffalo Section Chapter,COM19
Baltimore Section Chapter,SP01
Syracuse Section Jt Chapter,AES10/COM19/SP01
Event Agenda
07:45 PM – 08:00 PM: Connecting to the ZOOM meeting
08:00 PM – 08:05 PM: Welcoming & IEEE ComSoc Membership Promotion
08:05 PM – 08:10 PM: Speaker Introduction
08:10 PM – 09:00 PM: Presentation (50 minutes)
09:00 PM – 09:10 PM: Questions and Answers (10 minutes)
09:10 PM – 09:15 PM: Closing Remarks
Talk Title
Connecting Space Assets to the Internet: Challenges and Solutions
Abstract
Data communications between Earth and spacecrafts, such as satellites, have traditionally been carried out through dedicated links. Shared links using Internet Protocol-based communication offers a number of advantages over dedicated links. The movement of spacecrafts however gives rise to mobility management issues.
This talk will discuss various mobility management solutions for extending the Internet connection to spacecrafts. The talk with provide an overview of the network layer based solution being developed by the Internet Engineering Task Force and compare with the transport layer based solution that have been developed at University of Oklahoma in conjunction with the National Aeronautics and Space Administration. Network in motion is an extension of the host mobility protocols for managing the mobility of networks which are in motion, such as those in airplanes and trains. The application of networks in motion will be illustrated for both terrestrial and space environment.
Speaker Bio
Mohammed Atiquzzaman obtained his M.S. and Ph.D. in Electrical Engineering and Electronics from the University of Manchester (UK) in 1984 and 1987, respectively. He currently holds the Edith J Kinney Gaylord Presidential professorship in the School of Computer Science at the University of Oklahoma.
Dr. Atiquzzaman is the Editor-in-Chief of Journal of Networks and Computer Applications, the founding Editor-in-Chief of Vehicular Communications, and serves/served on the editorial boards of many journals including IEEE Communications Magazine, Real Time Imaging Journal, International Journal of Communication Networks and Distributed Systems and Journal of Sensor Networks and International Journal of Communication Systems. He co-chaired the IEEE High Performance Switching and Routing Symposium (2003, 2011), IEEE Globecom and ICC (2014, 2012, 2010, 2009, 2007, 2006), IEEE VTC (2013) and the SPIE Quality of Service over Next Generation Data Networks conferences (2001, 2002, 2003). He was the panels co-chair of INFOCOM’05, and is/has been in the program committee of many conferences such as INFOCOM, Globecom, ICCCN, ICCIT, Local Computer Networks, and serves on the review panels at the National Science Foundation.
Dr. Atiquzzaman received IEEE Communication Society’s Fred W. Ellersick Prize, IEEE Distinguished Technical Achievement Award, IEEE Satellite Communications Technical Contribution Award, and NASA Group Achievement Award for “outstanding work to further NASA Glenn Research Center’s effort in the area of Advanced Communications/Air Traffic Management’s Fiber Optic Signal Distribution for Aeronautical Communications” project. He is the co-author of the book “Performance of TCP/IP over ATM networks” and has over 350 refereed publications, available at www.cs.ou.edu/~atiq.
His current research interests are in areas of transport protocols, wireless and mobile networks, ad hoc networks, satellite networks, power-aware networking, and optical communications. His research has been funded by National Science Foundation (NSF), National Aeronautics and Space Administration (NASA), U.S. Air Force, Cisco, Honeywell, Oklahoma Department of Transportation and Oklahoma Highway Safety Office.
Total Registration: 462 (as of 10/29/2021)
Peak attendance: 184
IEEE Communication Society New York Chapter, Technical Seminar Series (4)
The NY ComSoc chapter hosted a Virtual Distinguished Lecturer (VDL) talk on May 2nd. The presentation is on ” RFID for Human Activity Sensing: Challenges, Solutions and Applications”, by Prof. Shiwen Mao, with a ComSoc session number 24444. The event is co-hosted by another 26 IEEE chapters (see details below). The NY Chapter plans to release the recorded presentation video and slides to the chapter website.
Date: Sunday May 2nd, 2021
Time: 8pm – 9:15pm Eastern Time (US & Canada)
Location: New York, USA
vTool event page: https://events.vtools.ieee.org/m/265684
Primary Host: CH01082 – New York Section Chapter,COM19
Co-Hosts:
CH01082 – New York Section Chapter,COM19
CH01092 – North Jersey Section Jt Chapter,AP03/MTT17
CH06047 – Oregon Section Jt. Chap, COM19/UFFC20/PHO36
CH04053 – Southeastern Michigan Sec,AES10/COM19
CH05251 – Galveston Bay Sect Jt. Chap,IM09/BIO46/SYS45/SEN39
CH07190 – North Saskatchewan Sect. Jt. Chap,CAS04/COM19/SP01
CH06102 – Seattle Sect Jt. Chap, COM19/VT06/BT02/IT12/ITS38
CH10939 – Vizag Bay Section Jt. Chapter,COM19/SP01
CH04027 – Chicago Section Chapter, COM19
CH07016 – Montreal Section Chapter, IT12/COM19
CH07076 – Kingston Section Chapter, C16/COM19
CH02109 – Washington Section Chapter,COM19
CH10300 – Kolkata Section Chapter, COM19
CH04079 – Central Indiana Section Jt. Chapter,SP01/COM19
CH01156 – North Jersey Section Chapter,COM 19
CH10606 – Harbin Section Chapter, COM19
CH02088 – Pittsburgh Section Jt Chapter,VT06/COM19
CH01075 – Maine Section Chapter,C16/COM19
CH07045 – Vancouver Jt Chpt VT06/COM19/PHO36/BT02/IT12/ITS38
CH01072 – New Jersey Coast Section Chapter,COM19
LM70001 – Kingston Section Affinity Group,LM
CH01246 – New York Section Chapter,SMC28
CH06201 – Foothill Section Chapter,COM19
CH05005 – Central Texas Sect Jt. Chap,COM19/SP01/CT08 Austin
CH03225 – Atlanta Section Chapter, COM19
CH07093 – Canadian Atlantic Section Chapter, COM19
Event Agenda
08:00 PM – 08:05 PM Welcoming & IEEE ComSoc Membership Promotion
08:05 PM – 08:10 PM Speaker Introduction
08:10 PM – 08:55 PM Presentation
08:55 PM – 09:10 PM Questions and Answers
09:10 PM – 09:15 PM Closing Remarks
Talk Title
RFID for Human Activity Sensing: Challenges, Solutions and Applications
Abstract
With the rapid development of radio frequency (RF) sensing in the Internet of Things (IoT), human activity sensing, detection and tracking have attracted increasing attention. Among the various RF sensors, radio-frequency identification (RFID) has its unique advantages of low-cost, small form factor, battery-free, and robustness to surrounding interference. Beyond its original use of responding stored Electronic Product Code (EPC) data when interrogated by a reader, RFID tags can be used as wearable sensors on the human body. In this talk, we will investigate the various technical challenges on fully exploiting RFID for human activity recognition and tracking, such as frequency hopping, and the noisy and sparse RFID data, and examine potential solutions. We will then review several of our recently works on RFID based human vital sign monitoring, drowsy driving detection, and 3D human pose monitoring and tracking. We will conclude this talk with thoughts on future work in the area.
Speaker Bio
SHIWEN MAO received his Ph.D. in electrical engineering from Polytechnic University, Brooklyn, NY. He held the McWane Endowed Professorship from 2012 to 2015 and the Samuel Ginn Endowed Professorship from 2015 to 2020 in the Department of Electrical and Computer Engineering at Auburn University, Auburn, AL. Currently, he is a professor and Earle C. Williams Eminent Scholar Chair, and Director of the Wireless Engineering Research and Education Center (WEREC) at Auburn University. His research interest includes wireless networks, multimedia communications, and smart grid. He is a Distinguished Lecturer of IEEE Communications Society, and is on the Editorial Board of IEEE TWC, IEEE TNSE, IEEE TMC, IEEE IoT, IEEE OJ-ComSoc, IEEE/CIC China Communications, IEEE Multimedia, IEEE Networking Letters, and ACM GetMobile, among others. He received the IEEE ComSoc TC-CSR Distinguished Technical Achievement Award in 2019 and NSF CAREER Award in 2010. He is a co-recipient of the IEEE Vehicular Technology Society 2020 Jack Neubauer Memorial Award, the 2004 IEEE Communications Society Leonard G. Abraham Prize in the Field of Communications Systems, and several conference best paper awards. He is a Fellow of the IEEE.
Total Registration: 264 (as of 05/02/2021)
Peak attendance: 105
IEEE Communication Society New York Chapter, Technical Seminar Series (3)
The IEEE ComSoc New York Chapter is organizing a series of technical seminars for the New York area IEEE members and the general public. We invite researchers and professionals to share their latest work on a variety of topics in communications and related areas. This is the third seminar of the series. Together with our fellow IEEE ComSoc Chapters, we have the great pleasure to invite Dr. Fadel Adib to share his adventures into the Internet of Things.
Date: Monday, March 22, 2021
Time: 7:00 PM to 8:00 PM Eastern Time
Agenda:
07:00 PM – 07:05 PM Welcoming & IEEE membership
07:05 PM – 07:10 PM Speaker Introduction
07:10 AM – 07:55 PM Presentation
07:55 AM – 08:10 PM Presentation Questions and Answers
08:10 PM – 08:15 PM Closing Remarks
The Presentation:
Extreme IoT: Wireless & Sensor Technologies for Oceans, Health, and Robotics
Prof. Fadel Adib,
Associate Professor, MIT
Doherty Chair in Ocean Utilization
Media Lab & Electrical Engineering & Computer Science
Founding Director, Signal Kinetics
Abstract:
The evolution of communication technologies over the past 140 years has enabled ubiquitous connectivity with billions of sensors globally. However, today’s technologies still face fundamental obstacles, which prevent them from seamlessly extending to complex domains like the ocean, the human body, or supply chain environments.
In this talk, I will describe new technologies developed by my group that allow us to bring the Internet-of-Things (IoT) to extreme environments. First, I will describe a new generation of underwater sensor networks that can sense, compute, and communicate without requiring any batteries; our devices enable real-time and ultra-long-term monitoring of ocean vitals (temperature, pressure, coral reefs) with important applications to scientific exploration, underwater climate monitoring, and defense. Next, I will talk about new wireless technologies for sensing the human body, both from inside the body (via micro-implants) as well as from a distance (contactless), paving the way for novel diagnostic and treatment methods. Finally, I will describe new RFID-based micro-logistics solutions that can bring extreme visibility to supply chain processes, with applications to retail, warehousing, and manufacturing; these technologies also allow us to extend robotic perception beyond line-of-sight, enabling robots to perform complex manipulation tasks that were not possible before.
The talk will cover how we have designed and built these technologies, and how we work with medical doctors, climatologists, oceanographers, and industry practitioners to deploy them in the real world. I will also highlight the open problems and opportunities for these technologies, and how researchers and engineers can build on our open-source tools to help drive them to their full potential in addressing global challenges in climate, health, and automation.
Speaker Bio:
Fadel Adib is the Doherty Chair of Ocean Utilization at MIT and Associate Professor in the Media Lab and the Department of Electrical Engineering and Computer Science. He is also the founding director of the Signal Kinetics group which researches wireless and sensor technologies for health, computing, and climate. Adib was named by Technology Review as one of the world’s top 35 innovators under 35 and by Forbes as 30 under 30, and his research was recognized as one of the 50 ways MIT has transformed Computer Science. Adib’s commercialized technologies have been used to monitor thousands of patients with Alzheimer’s, Parkinson’s, and COVID19, and he has had the honor to demo his work to President Obama at the White House. Adib is also the recipient of various awards including the NSF CAREER Award (2019), the ONR Young Investigator Award (2019), the ONR Early Career Grant (2020), the Google Faculty Research Award (2017) and the Sloan Research Fellowship (2021), and his research has received Best Paper/Demo Awards at SIGCOMM, MobiCom, and CHI. Adib received his Bachelors from the American University of Beirut (2011) and his PhD from MIT (2016), where his thesis won the Sprowls award for Best Doctoral Dissertation at MIT and the ACM SIGMOBILE Doctoral Dissertation Award.
IEEE Communication Society New York Chapter, Technical Seminar Series (2)
The IEEE ComSoc New York Chapter is launching a series of technical seminars for the New York area IEEE members and the general public. We will invite researchers and professionals to share their latest work on a variety of topics in communications and related areas. This is the second seminar of the series.
Date: Monday, December 28, 2020
Time: 7:00 PM to 8:00 PM Eastern Time (US & Canada)
The Presentation:
Application of Simple DSP Techniques in Practical Underwater Acoustic OFDM systems
Prof. Lei Wan, Xiamen University
Abstract:
OFDM has been a popular modulation scheme for underwater acoustic communications. Considering the practical situations in both the channel condition and the computational complexity in the receiver, two efficient approaches based on simple DSP techniques are proposed for underwater acoustic OFDM systems, to deal with the multipath channel estimation and the Doppler scale factor estimation problems respectively. It is found out that both the path delay estimation and the Doppler scale factor estimation problems can be solved by similar techniques adopted for the classical single tone frequency estimation problem, i.e., by interpolation between neighboring samples. Details about the problem formulation, derivation, simulation and field test data decoding results will be provided in the presentation. It is shown that the proposed approaches improve significantly in both performance and computational complexity.
Speaker Bio:
Lei Wan (Member, IEEE) received the B.S. degree in electronic information engineering from Tianjin University (TJU), Tianjin, China, in 2006, the M.S. degree in signal and information processing from the Beijing University of Posts and Telecommunications (BUPT), Beijing, China, in 2009, and the Ph.D. degree in electrical engineering from the University of Connecticut (UCONN), Mansfield, CT, USA, in 2014. He is currently an Associate Professor with the School of Informatics, Xiamen University (XMU), Xiamen, China. His research interests include algorithm design, system development, and performance analysis for underwater acoustic communication systems. Dr. Wan received the IEEE Communications Society’s Exemplary Reviewer Award for the IEEE Communications Letters in 2013. He served as a Technical Reviewer for many journals and conferences, and is now an Associate Editor for the IEEE Open Journal of Communications Society.
IEEE Communication Society New York Chapter, Technical Seminar Series (1)
The IEEE ComSoc New York Chapter is launching a series of technical seminars for the New York area IEEE members and the general public. We will invite researchers and professionals to share their latest work on a variety of topics in communications and related areas. This is the first seminar of the series.
Date: Monday, November 30, 2020
Time: 6:00 PM to 8:00 PM Eastern Time (US & Canada)
The Presentations:
Scalable Disparity Estimation in 3D Multimedia Communications
Dr. Yun Ye, City University of New York
Abstract:
This talk introduces a scalable disparity estimation method using stereoscopic image pairs from binocular cameras. Traditional grid-based multiresolution methods consider local features of the initial supporting points on the sparse grid, and fall short of resolving spurious matches caused by similar textures, which are commonly encountered in an indoor environment with reduplicate building structures or wall decorations. This will in turn result in incorrect estimation on the finer grid. In addition, the disparity values on the finer grid estimated using the local features could not be further utilized to estimate the disparity of the neighboring pixels. Instead we performed global optimization on the initial supporting points. A best disparity for each initial supporting point is selected from multiple candidates through Iterative Conditional Mode. The disparity estimation process on the finer grid is formulated as an energy minimization problem. Both the data consistency term and the smoothness term are included in the iterative solution procedure implemented in a course-to-fine manner. Its application in delay-sensitive 3D multimedia communications will be demonstrated with the example of video object tracking.
Speaker Bio: Yun Ye (M’ 15) received the Ph.D. degree in Computer Engineering from University of Nebraska-Lincoln, NE, USA, in 2013. She is currently an Associate Professor with Department of Mathematics, Engineering and Computer Science, LaGuardia Community College at City University of New York, NY, USA. She was Chair of IEEE ComSoc NY Chapter from 2017 to 2019. Her research interests include cross-layer design in secure and energy efficient wireless communications, video surveillance, and 3D multimedia signal processing.
Approximate Bayesian Algorithms Design for Generalized Linear Models: A Modularized Point of View
Dr. Jiang Zhu, Zhejiang University
Abstract:
A signal undergoes a linear transform followed by a componentwise nonlinear transform is referred to as the generalized linear models (GLMs), and substantial examples such as image classification, parameter estimation from quantized data and phase retrieval can be formulated as a GLM problem. A well-known algorithm for solving the GLM is the generalized approximate message passing (GAMP). In this talk, designing approximate Bayesian algorithms from modularized point of view especially for the GLM is presented. Note that for the standard linear model (SLM), many existing approximate Bayesian inference algorithms such as (approximate message passing (AMP), vector approximate message passing (VAMP), sparse Bayesian learning (SBL), variational Bayesian inference (VBI) have been developed. Compared to the standard linear models (SLMs), solving the GLMs is more challenging because of the coupling of the linear and nonlinear transforms. Here an expectation propagation (EP) approach is utilized to show the relationship between the recovery algorithms of SLMs and that of GLMs, which provides insight into the designing of Bayesian algorithms for GLMs based on the existing Bayesian algorithms. According to EP, the GLM can be iteratively approximated as a sequence of SLM subproblems, and thus the standard Bayesian algorithms can be easily extended to solve the GLMs. In addition, substantial examples are also provided to demonstrate the effectiveness of the approach. This talk is based on joint work with Xiangming Meng and Sheng Wu.
Speaker Bio: Jiang Zhu received B.E. from Harbin Engineering University in 2011, Harbin, China, and Ph.D. degree in electronic engineering from Tsinghua University, Beijing, China, in 2016. From Feb. 2015 to Aug. 2015, he was a visiting student with the signal processing and communication laboratory, Lehigh University. Since 2016, he joined Ocean College, Zhejiang University as a lecturer. Dr. Zhu is a member of IEEE. His current research interests include statistical signal processing, compressed sensing and unlabeled sensing.
Student Project Presentation–Agenda
Student Project Presentation, joint LaGuardia Computer Science Undergraduate Research Colloquium
