2023 Invited Seminar Series - Membership Event, Final Technical Talk and Closing

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IEEE Computer Society San Diego Chapter presents


The last event as part of the IEEE Computer Society's 2023 Invited Seminar Series. We will start with a talk on IEEE CS Membership from Scott Lavine, the Membership Development Manager of IEEE Computer Society, followed by a technical talk on AI in Healthcare from renowend computer vision researcher and author Prof. Md. Atiqur Rahman Ahad from the University of East London, UK. This is the 10th and the last technical talk of this year's seminar series. Stay tuned on our announcements for next years series.

Meanwhile, enjoy our previous talks in our youtube channel: IEEE Computer Society Chapter of San Diego 2023

 

 



  Date and Time

  Location

  Hosts

  Registration



  • Date: 12 Dec 2023
  • Time: 11:30 AM to 01:30 PM
  • All times are (UTC-08:00) Pacific Time (US & Canada)
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  • Contact Event Hosts
  • charliebird@computer.org

  • Starts 28 November 2023 03:53 PM
  • Ends 12 December 2023 01:53 PM
  • All times are (UTC-08:00) Pacific Time (US & Canada)
  • No Admission Charge


  Speakers

Scott Lavine Scott Lavine of IEEE Computer Society

Topic:

Making the Best out of Your IEEE Computer Society Membership

In this presentation, we’ll review the benefits and all that the IEEE Computer Society membership has to offer. We’ll also discuss how members can maximize their benefits and resources to get the most out of their membership.

Scott Lavine is the Membership Development Manager at the IEEE Computer Society. In this role, Scott is responsible for designing and executing the Computer Society's membership recruitment and retention plans, including working with chapters to help build and sustain membership.  He is also responsible for member engagement activities including the Standards Activities Board Webinar Series and the Build Your Career Webinar Series.

Biography:

Scott has over 10 years of association experience and 18 plus years as a marketer. He spent six years at Lyons & Sucher, a boutique marketing firm specializing in residential real estate, working as a project & media manager. In those roles he worked directly with the firm's clients - regional builders & developers - building out and executing marketing plans upwards of $1,000,000. He started his association experience in February 2013 as a Marketing Manager at SHAPE America where he helped promote and market the organization's full portfolio of programs, products, and services including their annual conference & expo, membership, publications, and popular programs including Jump Rope for Heart, Hoops for Heart, Let's Move, and the Presidential Youth Fitness Program. 

Scott received a Bachelor's of Science in Business Administration from the University of Pittsburgh where he majored in marketing in 2006. He then received a certificate in Digital Marketing from Georgetown University School of Continuing Studies in 2018.

Email:

Address:United States

Prof. Md Atiqur Rahman Ahad Prof. Md Atiqur Rahman Ahad of University of East London, UK

Topic:

AI in Healthcare Based on Video & IoT Sensors

Video, skeleton joint points are widely explored for human activity recognition (HAR). On the other hand, various sensors are engaged in human activity and behavior understanding. Vision-based human action or activity recognition approaches are based on RGB video sequences, depth maps, or skeleton data – taken from normal video cameras or depth cameras. On the other hand, sensor-based activity recognition methods are basically based on the data collected from wearable sensors having accelerometers, gyroscopes, and so on. There are numerous applications on HAR, however, healthcare, elderly support, and related applications become very important arenas with huge social and financial impacts: towards the concept of Remote Patient Monitoring. Due to the advent of various IoT sensors, it becomes more competitive as well as easier to explore different applications. The keynote will cover our works related to HAR approaches, highlighting healthcare perspectives and methods. The presentation will be based on the books and our recent works.

Biography:

Md Atiqur Rahman Ahad, Ph.D. (SMIEEE, SMOPTICA) is an Associate Professor of Artificial Intelligence & Machine Learning (Champion, Research & Innovation), Dept. of Computer Science & Digital Technologies, University of East London. He is a Guest Professor at Kyushu Institute of Technology, Japan; Visiting Professor, at UCSI University, Malaysia; (TUBITAK) Visiting Professor, at Bahcesehir University, Turkey; and a Visiting Professor (former) at University of Brawijaya, Indonesia. He became a Professor at the University of Dhaka (DU) in 2018 and served as a specially appointed Associate Professor at Osaka University (2018~2022). He works on AI, ML, healthcare, IoT, well-being, vision, and biometrics. He studied at Kyushu Institute of Technology (PhD), University of New South Wales (MCompSc), and DU (BSc(Honors), MSc). He got 55+ awards/recognitions (e.g., UGC Gold Medal). He is a Top 2% researcher (as per Stanford University, 2022). He published 13 books (more to appear soon), 220+ peer-reviewed papers & book chapters. Ahad was invited as keynote/invited speaker 150+ times at different conferences/universities. He has/had over 100 PhD/Masters/UG researchers as supervisor/co-supervisor. He is an Editorial Board Member, Scientific Reports, Nature; Associate Editor, Frontiers in Computer Science; Editor, IJAC; Editor-in-Chief, IJCVSP; General Chair: 5th ABC, 11th ICIEV, 6th IVPR; Workshop Chair, 17th IEEE PiCom; Publication Chair, 2018 IEEE SMC; Vice Publication Co-chair & Vice Award Chair, 17th WC of IFSA; Guest Editor in Pattern Recognition Letters, JMUI, JHE, etc. He serves as reviewer of IEEE TPAMI, IEEE TBIOM, IJCV, Pattern Recognition, IEEE Sensors, SR Nature, JACIII, IEEE TAC, ACM IMWUT, PRL, CVIU, MVA. 

Email:

Address:United Kingdom






Agenda

- Membership development talk from Scott Lavine, Membership Development Manager, IEEE Computer Society

- Technical talk from Prof. Md. Atiqur Rahman Ahad on AI in Healthcare

- Closing remarks about the seminar series