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Important Dates (GMT +8:00)

  1. Full Paper Deadline: 20 June 2021
  2. Acceptance Notification: 1 July 2021
  3. Camera-ready Paper Deadline: 5 July 2021
  4. Participant Registration Deadline: 12 July 2021
  5. Payment Deadline: 5 July 2021

Announcement

**** UPCOMING EVENT****

The 1st International Conference on Mathematics, Statistics and Operational Research (IMSO) 2021

&

The 1st International Conference on Science and Engineering Applications (ICSEA) 2021


CALL FOR PAPERS

This invitation and call for papers are addressed to scholars, researchers, government regulators and corporations. You are invited to submit full paper online now.

CALL FOR PAPERS WITH AIP CONFERENCE PROCEEDINGS INDEXED IN SCOPUS


12 & 13 July 2021 at BAYVIEW BEACH RESORT, PENANG, MALAYSIA

(MOVED TO VIRTUAL CONFERENCE --> DUE TO COVID-19 PANDEMIC)


Conference 2021 science, mathematics and engineering

Theme

"Towards innovative research through mathematics and engineering applications"


"ALL ACCEPTED, PAID AND PRESENTED PAPERS WILL BE SUBMITTED TO A SCOPUS INDEXED PUBLICATION"




KEYNOTE SPEAKER

Massimo TISTARELLI | Full Professor in Computer Science | Phd | Università  degli Studi di Sassari, Sassari | UNISS - Page 3

Professor Dr. Massimo Tistarelli
University of Sassari, Italy


BRIEF BIOGRAPHY:

Massimo Tistarelli received the Phd in Computer Science and Robotics in 1991 from the University of Genoa. He is Full Professor in Computer Science (with tenure) and director of the Computer Vision Laboratory at the University of Sassari, Italy. Since 1986 he has been involved as project coordinator and task manager in several projects on computer vision and biometrics funded by the European Community.

Since 1994 he has been the director of the Computer Vision Laboratory at the Department of Communication, Computer and Systems Science of the University of Genoa, and now at the University of Sassari, leading several National and European projects on computer vision applications and image-based biometrics.

Prof. Tistarelli is a founding member of the Biosecure Foundation, which includes all major European research centers working in biometrics. His main research interests cover biological and artificial vision (particularly in the area of recognition, three-dimensional reconstruction and dynamic scene analysis), pattern recognition, biometrics, visual sensors, robotic navigation and visuo-motor coordination. He is one of the world-recognized leading researchers in the area of biometrics, especially in the field of face recognition and multimodal fusion. He has co-authored more than 150 scientific papers in peer reviewed books, conferences and international journals. He is the principal editor for the Springer books “Handbook of Remote Biometrics” and “Handbook of Biometrics for Forensic Science”.

Prof. Tistarelli organized and chaired several world-recognized several scientific events and conferences in the area of Computer Vision and Biometrics, and he has been associate editor for several scientific journals including IEEE Transactions on PAMI, IET Biometrics, Image and Vision Computing and Pattern Recognition Letters.

Since 2003 he is the founding director for the Int.l Summer School on Biometrics (now at the 18th edition – http://biometrics.uniss.it). He is a Fellow member of the IAPR and Senior member of IEEE, and Vice President of the IEEE Biometrics Council.


FACE RECOGNITION: LEARNING FROM BIOLOGICAL DEEP NETWORKS

ABSTRACT:

Face Recognition has been extensively studied as a mean to facilitate man-machine interaction in a variety of different applications. Due to the imaging variabilities and to the complex nature of the face shape and dynamics, analyzing and recognizing human faces from digital images is still a very complex task.

In the last decade deep learning techniques have strongly influenced many aspects of computational vision. Many difficult vision tasks can now be performed by deploying a properly tailored and trained deep network. Oxford University’s VGG-face is possibly the first deep convolutional network designed to perform face recognition, obtaining unsurpassed performance at the time it was firstly proposed. The enthusiasm for deep learning is unfortunately paired by the present lack of a clear understanding of how they work and why they provide such brilliant performance. The same applies to Face Recognition.

Over the last years, several and more complex deep convolutional networks, trained on very large, mainly private, datasets, have been proposed still elevating the performance bar also on quite challenging public databases, such as the Janus IJB-A and IJB-B. Despite of the progress in the development of such networks, and the advance in the learning algorithms, the insight on these networks is still very limited. For this reason, in this talk we analyse the neural architecture of the early stages of the human visual system to devise a biologically-inspired model for face recognition. The aim is not pushing the recognition performance further, but to better understand the representation space produced from a deep network and how it may help explaining the process undergoing a real biological neural architecture.

In this talk we analyse a hybrid model network trying to better understand the role of the different layers, including the retino-cortical mapping simulated by a log-polar image resampling. The following issues will be addressed:



ABOUT OUR CONFERENCE:

We are proud to announce that the 1st International Conference on Mathematics, Statistics and Operational Research (IMSO) 2021 and the 1st International Conference on Science and Engineering Applications (ICSEA) 2021 in collaboration with University of Sassari, Italy and Amity University Network (AUN) Research Labs - Amity Institute of Information Technology, Amity University Uttar Pradesh, Noida, India are held in conjunction with the 1st Joint International Conference on Mathematics, Statistics and Engineering (J-CoMSE 2021). This conference is organised by Faculty of Applied and Human Sciences (FSGM), Universiti Malaysia Perlis (UniMAP), Malaysia. It will be held on 12 & 13 July 2021. The aim is to bring together academic scientists, researchers and research scholars to exchange their knowledge in Mathematics, Statistics, Sciences and Engineering.

As concerns increased over the pandemic of Corona Virus Disease (COVID-19) and The Malaysian National Security Council (NSC) had also instructed that there should be NO SOCIAL ACTIVITIES (at the time of the conference), the organising committee therefore HAS DECIDED to move IMSO & ICSEA 2021 from a physical to VIRTUAL Conference.


1) The 1st International Conference on Mathematics, Statistics and Operational Research (IMSO) 2021

Topics of interest for submission include, but are not limited to:


2) The 1st International Conference on Science and Engineering Applications (ICSEA) 2021

Topics of interest for submission include, but are not limited to:

TRACK 1 – TELECOMMUNICATIONS, COMPUTER SCIENCE, INSTRUMENTATION AND CONTROL, ELECTRICAL AND ELECTRONIC ENGINEERING


TRACK 2 – SIGNAL, IMAGE AND BIO-MEDICAL ENGINEERING

TRACK 3 – MATERIALS SCIENCE AND ENGINEERING, NANOTECHNOLOGY
  • Biomaterials and carbon-based materials
  • Theoretical and computational science of materials
  • Nanomaterial and applications
  • Energy and environment materials
  • Sensors, sensing materials and related devices
  • Materials for health science
  • Optical and electronic materials
  • Metal alloys and composite materials
  • Material process and manufacturing
  • Materials Characterization
  • Materials Degradation
  • Nanotechnology


Publication:

J-CoMSE 2021 proceedings will be published in the American Institute of Physics (AIP). It is indexed in Scopus and Google Scholar.

All accepted, paid and presented papers will be submitted to the publisher. For publication, it will require a final review by the publisher’s editorial team.



Paper Preparation:

Please download the Word template for extensive guidelines on formatting your paper. As a summary, please ensure the following:

  • The number of pages are between 6-12 pages.
  • Paper size is European A4.
  • Margins are 4cm (top), 2.5cm (left and right) and 2.7cm (bottom).
  • The paper includes the author name and affiliation (full address including country).
  • There are no page numbers, or headers and footers, within the paper.
  • The PDF is free of formatting errors (e.g. corrupt equations, missing or low-resolution figures), since conversion from Word to PDF can introduce formatting errors.
  • Text is single spaced, not double spaced.
  • The PDF file is editable and not password protected.
  • All pages are portrait (landscape pages should be rotated).
  • Reference lists are checked for accuracy. References can only be linked via Crossref if they are correct and complete.
  • Figures are placed within the text, not collected at the end of the document.
  • A thorough proofread is conducted to check the standard of English and ensure wording is clear and concise.

Important Dates:

Full Paper Deadline: 20th June 2021 (Final Extension)
Acceptance Notification: 1st July 2021
Camera-ready Paper Deadline: 5th July 2021
Payment Deadline: 5th July 2021
Conference Dates: 12th & 13th July 2021


Registration and Submission


All submissions must be made through the Conference Management System (ConfBay).

Participant/Presenter Registration
•    If you have not registered with Confbay before, click Register. Follow the instructions listed on the screen.
•    If you have registered with Confbay before, you may Log In.

Online Paper Submission
•    After logging in, you will be able to submit your paper through the Online Submission System.
•    Click on the “My Submission” menu. Follow the instructions listed.
•    Notification emails will be sent to you as a confirmation of the submission.



Organizer

MAIN ORGANISER:


CASH 2021 Secretariat

Faculty of Applied and Human Sciences (FSGM)

Universiti Malaysia Perlis (UniMAP)

Perlis, Malaysia

Email: cash@unimap.edu.my



STRATEGIC PARTNERS:


   


           

Conference 2021 science, mathematics and engineering