The WSPML 2020 conference is now in the process of soliciting submissions of original and innovative papers. Authors are encouraged to submit original and previously unpublished papers. The submitted papers must not be previously published or accepted for publication elsewhere.
***Kindly notice that if you are planning to submit a full paper for publishing, you do not need to submit the abstract firstly, and you can submit the full paper once you finished it.
Please pay attention to the following deadlines and submit your paper in time.
Full Submission: Oct. 1, 2020
Abstract Submission: Sept. 10, 2020
Author Notification: Oct. 15, 2020
Final Version: Oct. 25, 2020
Registration: Oct. 25, 2020
Main Conference: Nov. 20-22, 2020
2020 2nd International Workshop on Signal Processing and Machine Learning (WSPML 2020) will be held in Kuala Lumpur, Malaysia during November 20-22, 2020.
WSPML 2020 welcomes researchers, engineers, scientists and industry professionals to an open forum where advances in the field of Signal Processing and Machine Learning can be shared and examined. The conference is dedicated to providing the platform for keeping up with advances and changes to a consistently morphing field. Leading researchers and industry experts from around the globe will present the latest studies through papers and oral presentations.
The WSPML 2020 conference committee is excited to invite authors and scholars from all over the world to participate in this significant conference, to enhance our knowledge and create new knowledge to help promote the advances and changes of the joint academic researches.
WSPML 2020 is organized by HKSRA.
All accepted and registered papers of WSPML 2020 will be published in the digital conference proceedings which will be sent to be indexed by all major citation databases such as Ei Compendex, Scopus, CPCI, Google Scholar, Cambridge Scientific Abstracts (CSA), Inspec, SCImago Journal & Country Rank (SJR), EBSCO, CrossRef, Thomson Reuters (WoS), etc.
A selection of papers will be recommended to be published in journals.
The detailed conference program will be updated when it is available. Please find the following brief version of the timetable for your reference and make your schedule in advance.
Nov. 20, 2020: Registration+Materials collection
Nov.21, 2020: Keynote Session+Parallel Sessions
Nov.22, 2020: Parallel Sessions+Social Network Event
We sincerely welcome professors, associate professors, teachers and other experts in the areas of Signal Processing and Machine Learning to join the conference as a scientific committee member for helping review the papers submitted to our WSPML 2020 conference.
If you are interested in joining us, please kindly send your latest CV to firstname.lastname@example.org. Your request will be processed in 5 working days.
Dr. Farhad Memarzadeh
The National Institutes of Health (NIH), United States
Dr. Memarzadeh is the Director, Division of Technical Resources at the National Institutes of Health (NIH) in the United States. NIH is one of the world’s foremost medical research centers. He has been the Principal Investigator on many groundbreaking research and chaired several American National Standards Committee. He is a lecturer at the Harvard School of Public Health. Authored 4 books and over 65 scientific papers. He has been a keynote/guest speaker at over 50 scientific conferences. Some of his awards include the following; 8 NIH Director's and 5 Merit Awards, 3 NSPE-Top Ten Engineer of the year award, 6 Literary awards for outstanding scientific publications, 2 Public Health Service Engineer of the Year award, 2015 nominee for Samuel J. Heyman Service to America Medals, 2010 Howard Fawcett Award, and several commendations from the US Senate.
The WSPML is a global event focused on Signal Processing and Machine Learning. It is a good chance and an effective platform to meet many renowned experts and researchers in the common research fields. If you just want to attend the conference to communicate with other scholars and listen to their speeches, without publishing papers or doing presentations, you can join us as a listener.