Greetings from IIIT Sri City and we hope that you are healthy and well.

 It is a matter of immense pleasure to inform you that Biosignal Analysis Lab, ECE Group at IIIT Sri City is organizing the 1st edition of a three day workshop co-sponsored by SERB, Govt. of India on “Advances in statistical data analysis and modeling (WASDAM 2022)” during 25-27 July 2022 in online mode.  

 The objectives of the workshop are highlighted as follows,

• Building awareness towards advances in statistical analysis, models, and related application areas.

• Building communities of research students, educators, R&D, and Industry persons in this trending area of research and development.

• Providing tutorial sessions, where the participants can experiment with concepts and methods.

• Building the technical capacity in the area of statistical analysis and tools. 

It is well known that the expertise in data analytics, specifically statistical analysis and  modeling  skills are in great demand nowadays. In this workshop, many leading researchers (from the top IITS, IISc, ISI, ISRO and IBM) will  share their latest experience in this important domain.

This workshop is really useful for students, faculty and professionals in the fields of statistics, data analytics, big data, spatial analysis, biosignal analysis, bioinformatics, geosciences, radar and other related areas. 

 This year WASDAM 2022 is focusing on the following topics:

• Recent advances in statistical analysis tools and techniques

• Applications of statistical modeling and analytics tools in various fields 

• Spatial modeling using statistical and machine learning (ML) methods

• Numerical prediction of geophysical/environmental variables

• Biophysical signal analysis using statistical and ML techniques 

• Statistical methods in radar and related applications 

In WASDAM-2022 12 external speakers are confirmed. The details of the workshop can be found at WASDAM-2022

Registration Fees 

Indian Participants (Student): INR 250/-

Indian Participants (Faculty): INR 1000/-

Indian Participants (Professional): INR 2000/-

Foreign Participants (Student): USD 50/-

Foreign Participants (Faculty): USD 100/-

Foreign Participants (Professional): USD 200/-

The details for the registration can be found at WASDAM-2022 Registration.

 

You are also requested to kindly circulate this invitation with your academic fraternity.

WASDAM 2022 Brochure

Note:  When you register, please include “WASDAM22” in the payment message/notes.

 

On the behalf of

Organizing Committee

Dr Anish Chand Turlapaty

(Convener, WASDAM 2022)

Associate Professor

Indian Institute of Information Technology, Sri City, Chittoor

630 Gnan Marg, Sri City, Satyavedu Mandal

Chittoor District – 517 646, Andhra Pradesh, India

https://sites.google.com/iiits.in/wasdam2022/contact

 

Assoc. Prof. Negar Kiyavash (University of Illinois at Urbana-Champaign, USA), a prominent AI researcher internationally, will deliver the e-lecture:

‘Causal Inference in Complex Networks’, on Monday 11th July 2022 17:00-18:00 CEST (8:00-9:00 am PST), (12:00 am-1:00am CST),

see details in: http://www.i-aida.org/ai-lectures/

 

You can join for free using the zoom link: https://authgr.zoom.us/j/96116246838 & Passcode: 148148

Attendance is free.

 

This is the closing keynote lecture for the ELLIS PhD and Postdoc Summit.

 

The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE, Humane AI Net, TAILOR, VISION, currently in the process of formation,

is very pleased to offer you top quality scientific lectures on several current hot AI topics.

 

Lectures will be offered alternatingly by:

Top highly-cited senior AI scientists internationally or

Young AI scientists with promise of excellence (AI sprint lectures)

 

This is the last lecture from a series of successful lectures by AIDA and the next round of lectures will start in September 2022.

 

These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels).

If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list.

 

Best regards

Profs. M. Chetouani, P. Flach, B. O’Sullivan, I. Pitas, N. Sebe, J. Stefanowski

 

we are happy to announce the Call for Papers for the 2nd International Workshop on Distributed Smart Cameras (IWDSC), which will be virtually held in conjunction with the European Conference on Computer Vision (ECCV).

All the following information is also available at https://iwdsc.github.io/

Apologies if you have received this more than once.

================================================================
About IWDSC
================================================================
Smart camera networks are becoming a fundamental piece of our intelligent cities, buildings, and homes, progressively inserting themselves into our lives. From smart surveillance systems composed of many smart camera nodes to small wearable cameras able to render a visual log of our daily experience, these devices interact with each other and with a wealth of other smart things, and of course the internet. Their rapid development is possible thanks to the convergence of several technologies. From advanced image sensors and vision chips to embedded vision systems capable of efficient feature extraction, image encoding, and wireless transmission of the relevant visual content: This technology opens the door to new application domains, where video analytics and the extraction of semantic information from the scene is performed in a distributed fashion, implementing a new type of cooperative and/or collaborative vision.

The IWDSC team has previously organized 12 editions of the International Conference on Distributed Smart Cameras (ICDSC) with ACM as an international forum to discuss recent advances and open issues on these topics.

================================================================
Papers are invited in the following and related areas:
================================================================
=> Smart cameras in the Internet of Things (IoT), Industry 4.0, and smart transport
– Smart cameras as IoT sensors
– Intelligent traffic cameras
– Smart IoT security camera for smart homes
– Smart cameras for Industry 4.0
– Vision sensors in Vehicular Ad- hoc Networks (VANETs)

=> Mobile Vision, 3D, and Robotics
– 3D reconstruction of everything
– Driver assistance, autonomous driving
– Social robot
– Drone distributed smart cameras
– Structure-from-motion in mobile devices
– Visual landmark localization
– Active vision and mobile/body-worn cameras
– Position discovery and middleware apps

=> Smart image sensors and vision chips
– Circuits and systems for image sensing
– Parallel processing hardware
– Camera beyond the visual spectrum
– HW/S W codesign for embedded vision
– Reconfigurable vision processing architectures
– High-performance image sensors
– Neuromorphic cameras and networks

=> Machine learning in distributed camera networks
– Deep learning on smart cameras
– Transforming embedded vision through deep learning
– Distributed learning algorithms in visual sensor networks
– Novel machine learning technology implementation on smart cameras
– Machine learning for low-powered sensors
– Artificial intelligence and deep learning at the edge

=> Distributed smart cameras and network architectures
– Camera system designs and architectures
– Architectures for camera networks
– Embedded vision programming
– Distributed video coding
– Self-reconfiguring camera networks
– Self-organizing smart cameras
– Wireless and mobile image sensor network s
– Context-aware networks
– Distributed video analytics
– Resource management and task allocation
– Data aggregation and information fusion
– Collaborative object recognition and extraction

=> Emerging applications
– Process splitting in-camera vs cloud
– Virtual reality and augmented reality
– Smart cameras and semantic information
– Smart cities and smart cameras
– Camera-based health and wellness monitoring  
– AI and video analytics for smart cameras
– Social media and big data
– Smart cameras for situational intelligence and interaction

================================================================
Submission
================================================================
The submission site is open, and accessible at: https://cmt3.research.microsoft.com/IWDSC2022/  

Each paper will be reviewed by at least two members of the Scientific Program Committee, in a double-blind fashion. The submitted papers should present original work, not currently under review elsewhere, and should have no substantial overlap with already published work. Submissions should be submitted in PDF and should be no more than 14 pages (additional pages containing only cited references are allowed) following the ECCV main Conference paper format and guidelines (https://iwdsc.github.io/submissions/).

================================================================
Important Dates
================================================================
Paper Submission Deadline: July 10, 2022 (11:59 PM Pacific Time)
Reviews Released to Authors: August 11, 2022 (11:59 PM Pacific Time)
Camera-ready due: August 22, 2022 (11:59 PM Pacific Time)
In case of rejection from ECCV, authors can submit their work to the workshop. Authors should address all ECCV reviewers’ comments in the submitted paper and submit the ECCV reviews as supplementary material.

================================================================
Proceedings and Special Issue
================================================================
Accepted papers will be published in the ECCV Workshop Proceedings. Authors of high-quality papers will be invited to extend their work and submit it for a special issue in a JCR-indexed journal.

================================================================
Organizing Team
================================================================
Niki Martinel, University of Udine, Italy
Ehsan Adeli, Stanford University, USA
Rita Pucci, University of Udine, Italy
Caifeng Shan, Shandong University of Science and Technology, China
Anima Anandkuma, Caltech/NVidia, USA
Yue Gao, Tsinghua University, China
Hamid Aghajan, Gent University, Belgium
Christian Micheloni, University of Udine, Italy
Fei-Fei Li, Stanford University, USA

Estimados/as,

Les acercamos información sobre el curso* *”Introducción al
Análisis Forense de Evidencias Digitales e Incidentes de
Ciberseguridad” que se dictará virtualmente en el campus de SADIO.

Esperamos que sea de su interés y agradecemos la difusión que pueda
darle.

Saludos cordiales.

¡Seguinos en nuestras redes sociales para enterarte de más
novedades!

 <http://www.sadio.org.ar/lists/lt.php?id=Y00PBwoHAQUKDkVTVFcASVQPU1xX>
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Curso virtual “Introducción al Análisis Forense de Evidencias
Digitales e Incidentes de Ciberseguridad”

Fecha de inicio: 8 de Agosto de 2022

Docente: Dra. Ing. Beatriz P. de Gallo. Especialista en Informática
Forense

Descripción: Propone capacitar a los asistentes dotándolos de
conocimientos, metodologías y herramientas que le permitan iniciarse
en el análisis forense digital, tanto en el ámbito de las pericias
informáticas como en el contexto de los incidentes de
ciberseguridad.

Fundamentos: La Forensia Digital se aplica principalmente en dos
áreas: en el ámbito de la justicia mediante las pericias
informáticas con la inclusión de las evidencias digitales, y en el
ámbito empresarial cuando se analizan incidentes de seguridad
informática y/o ciberseguridad. En ambos casos, es sustancial el
proceso de recolección de evidencias digitales, así como el rigor
procedimental y científico de la actuación del analista forense.

Si bien la Informática Forense se inicia en los 90 cuando desde el
ámbito de la justicia se requieren Peritos Informáticos con la
aparición de las primeras evidencias digitales, hoy en día, el
grado de avance de la inseguridad informática requiere de la
formación de especialista en el abordaje e investigación de
incidentes de ciberseguridad.

Con la intención de iniciar al asistente en la realización del
Análisis Forense Digital, se presenta el contexto de la Forensia
Digital y se lo capacitará dotándolos de conocimientos,
metodologías y herramientas que les permitan comprender acerca del
rol, alcance y responsabilidades de quienes deseen actuar como Perito
Informático y/o Analista Forense Digital.

Se abordarán cuestiones pluridisciplinarias que promueven un
análisis forense más eficiente cuando se aborda desde el campo
judicial, conformando equipos de trabajo con profesionales del área
del derecho, la criminalística y las fuerzas de seguridad. Y
también se brindará una base de conocimiento adecuada y suficiente
sobre gestión de incidentes de ciberseguridad.

Objetivos:

Al finalizar el curso, se pretende que el asistente sea capaz de:

•Conocer acerca del estado del arte de la Forensia Digital

•Conocer acerca de las cuestiones básicas del Derecho Procesal
aplicable a la realización de pericias informáticas

•Desarrollar y explicar las características básicas del contexto
de las Pericias Informáticas y de los incidentes de Ciberseguridad

•Comprender las fases del análisis forense digital

•Comprender y desarrollar las guías metodológicas más usuales
para realizar el análisis forense digital.

•Identificar y aplicar el proceso de tratamiento de la evidencia
digital en todas sus etapas.

•Utilizar y evaluar diferentes herramientas forenses.

Dirigido a: Profesionales informáticos, Peritos informáticos,
Responsables del área de Seguridad TI, Abogados, Lic. en
Criminalística, Fuerzas de Seguridad responsables de obtención y
análisis de evidencia digital.

Temario:

Ï UNIDAD I – FORENSIA DIGITAL Y DELITOS INFORMÁTICOS: conceptos
fundamentales vinculados a la Seguridad de la Información, Seguridad
Informática, Ciberseguridad y Auditoría Forense. Antiforensia.
Principios del Derecho y legislación relacionada con la Forensia
Digital. Los delitos informáticos. Legislación Nacional e
Internacional. Tipificación de los Delitos Informáticos.

Ï UNIDAD II – METODOLOGÍAS DE LA FORENSIA DIGITAL: Protocolos y
Normas de uso internacional. Familia de Normas ISO/IEC 27000:2015.
Metodologías propias de la Forensia Digital. Metodologías para la
gestión de incidentes de Ciberseguridad.

Ï UNIDAD III – ACTUACIÓN FORENSE: Roles del Experto Informático
en la Forensia Digital. La Ética del Analista Forense y el
desempeño profesional. La actuación judicial del perito
informático. Los puntos de pericia. Informe Pericial / de Análisis
Forense. La Contrapericia. Escenarios delictivos en los entornos
virtuales. Escenarios Forenses Complejos.

Ï UNIDAD IV – EVIDENCIA DIGITAL Y DISPOSITIVOS SOPORTE: Evidencia y
Prueba Digital. Tipos de evidencia digital. La Cadena de Custodia.
Dispositivos Digitales (H+S+D). Estructura interna de la Evidencia
Digital: memoria, disco, artefactos, redes, correo electrónico,
imágenes. Nuevos soportes: Drones, entornos IoT.

Ï UNIDAD V – HERRAMIENTAS FORENSES: Taxonomía NIST. Herramientas
Forenses propias de cada tipo de evidencia. Herramientas Forenses
Integradas. Kits de herramientas del Analista Forense. Triage
Forense.

Ï UNIDAD VI – TALLERES DE HERRAMIENTAS FORENSES: Operatividad de
herramientas forense de acceso libre. Prácticas en modalidad taller
de:

 Recuperación de Archivos Borrados
 Volcado de Memoria
 Forensia de Correos Electrónicos
 Forensia de Teléfonos Celulares
 Forensia de Imágenes
 Forensia de Incidentes de Seguridad

Duración total del curso: 48 (cuarenta y ocho) horas distribuidas en
6 (seis) semanas.

Distribución semanal de las actividades: el curso requiere de la
disponibilidad de 8 (ocho) horas semanales, distribuidas en 1 (un)
encuentro sincrónico de 2 (dos) horas y del desarrollo de
actividades asincrónicas equivalentes a 6 (seis) horas. La clase
sincrónica semanal se desarrolla los miércoles de 19 a 21 hs.

Modalidad: Las clases son virtuales a través del campus de SADIO
incluyendo una clase semanal de actividades virtuales sincrónicas.

El material bibliográfico del curso, las presentaciones y los
enunciados de las ejercitaciones y trabajos prácticos se colocarán
a disposición de los asistentes en el campus virtual de SADIO.

Requisitos y Procedimientos de Evaluación: Los asistentes deberán
registrar un 80% de asistencia, presentar y defender un trabajo
práctico final con una calificación superior o igual a 60/100, y
aprobar un examen final escrito individual que se entregará después
de finalizado el curso, con una calificación superior o igual a
60/100. Quienes no puedan asistir a los webinarios semanales pueden
recurrir a la clase virtual (que quedará grabada) y luego certificar
la asistencia mediante un cuestionario a responder para cada clase
ausente.

Aranceles (en pesos argentinos)

Inscripción temprana (hasta el 01/08/2022): $22.900

Inscripción tardía (desde 02/08/2022): $25.300

Descuento para socios de SADIO 50%

Formulario de inscripción:
*http://www.sadio.org.ar/lists/lt.php?id=Y00PBwoHAQULBUVTVFcASVQPU1xX
*

Antecedentes de los docentes:

Dra. Ing. H. Beatriz P. de Gallo