Multimodal Digital Media Analysis (MIDAS) Research

MIDAS is a group of researchers headed by Dr. @ratnrajiv at @IITKanpur who study, analyze, and build different AI-based multimedia systems for societal virtue.

[Multimodal Digital Media Analysis (MIDAS) Research @midasIITK]

Great to see the media coverage of our MOU with @GS1India to establish the DataKart Centre of Excellence. We are excited to serve daily #business using #AI #MachineLearning.

See more details at https://t.co/wCzgU05n31

Cc @RatnRajiv @IIITDelhi @cseiiitd @hcdiiitd @iiitdcdnm

[Multimodal Digital Media Analysis (MIDAS) Research @midasIITK]

@ashishk7475 @RatnRajiv @Hitkul_ @_shiivangii @koiRitwikHai @mohitsharmaj29 @mohitban47 @AICTE_INDIA @EduMinOfIndia @ai4bharat We are processing all applications. We will try to get back soon.

[Multimodal Digital Media Analysis (MIDAS) Research @midasIITK]

Last Call for @midasIIITD Summer Internship Drive 2022.

Considering many requests, we are going to have our last online test to select interns/students for this summer.

Date: May 21, 2022
Time: 6:30 - 7:30 pm

Apply through https://t.co/WXnJFQfhSG

#MIDAS #SummerInternship

[CODS @ikddcods]

To get regular updates from #CODSCOMAD2023, kindly follow us on different platforms.

@LinkedIn https://t.co/C62arP7SRt
@Meta https://t.co/53WRr32jUi
@Twitter https://t.co/WdjYqDw9o1
Website: https://t.co/gvs3wO4EXu

#CODSCOMAD #SocialMedia

[CODS @ikddcods]

The Applied Data Sciences (ADS) track invites both full (8 pages) as well as short (4 pages) papers (unlimited references) describing the design, implementation and results of solutions and systems for application of data science techniques to real-world problems.

[CODS @ikddcods]

We invite the submission of papers describing innovative and original research contributions in the areas of data management, data science, machine learning and AI. Papers can range from theoretical contributions to systems and algorithms to experimental research and benchmarking

[CODS @ikddcods]

CODS-COMAD is a premier international conference focusing on scientific work in Databases, Data Sciences and their applications. Being held for the 6th time as a common conference bringing together the COMAD and the CODS communities.

#CODSCOMAD #CODSCOMAD2023 #Conference #AI

[CODS @ikddcods]

Get to know the General Chairs of #CODSCOMAD2023.

Prof Pushpak Bhattacharyya from Indian Institute of Technology, Bombay and Prof Amr El Abbadi from UC Santa Barbara.

#OrganizationCommitee #CODSCOMAD

[Center for Design and New Media (CDNM), IIIT-Delhi @iiitdcdnm]

Inviting 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 - 𝐏𝐡.𝐃. 𝐇𝐂𝐃 𝐩𝐫𝐨𝐠𝐫𝐚𝐦
Details: 𝐡𝐭𝐭𝐩𝐬://𝐢𝐢𝐢𝐭𝐝.𝐚𝐜.𝐢𝐧/𝐚𝐝𝐦𝐢𝐬𝐬𝐢𝐨𝐧/𝐩𝐡𝐝/𝐚𝐩𝐫𝟐𝟎𝟐𝟐
Register@ 𝐡𝐭𝐭𝐩𝐬://𝐰𝐰𝐰.𝐢𝐢𝐢𝐭𝐝.𝐞𝐝𝐮.𝐢𝐧/𝐩𝐡𝐝𝐚𝐩𝐫𝟐𝟎𝟐𝟐/
#Phdadmission #opportunity #phdposition #research #phd

[Mehar Bhatia @bhatia_mehar]

@midasIIITD will always remain close to my heart💛. Huge shoutout to my peers @YamanKSingla, @mohitsharmaj29, @ramitsawhney @raotnameh, @Hitkul_ @manrajsgrover & collaborators @debanjanbhucs @jessyjli all of whom have enabled me to learn and grow so much in the past years (3/n)

[Mehar Bhatia @bhatia_mehar]

It's been a long, tiring journey but now as I introspect, I might not like to do it differently
Alot of people to thank - I'm immensely grateful to Prof. @RatnRajiv, my most inspirational presence, who shaped my research development & tirelessly supported me for many years (2/n)

[Dept of Human-Centered Design, IIIT Delhi @hcdiiitd]

Inviting 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 - 𝐏𝐡.����. 𝐇𝐂𝐃 𝐩𝐫𝐨𝐠𝐫𝐚𝐦, Details: 𝐡𝐭𝐭𝐩𝐬://𝐢𝐢𝐢𝐭𝐝.𝐚𝐜.𝐢𝐧/𝐚𝐝𝐦𝐢𝐬𝐬𝐢𝐨𝐧/𝐩𝐡𝐝/𝐚𝐩𝐫𝟐𝟎𝟐𝟐
Register@ 𝐡𝐭𝐭𝐩𝐬://𝐰𝐰𝐰.𝐢𝐢𝐢𝐭𝐝.𝐞𝐝𝐮.𝐢𝐧/𝐩𝐡𝐝𝐚𝐩𝐫𝟐𝟎𝟐𝟐/
#PhdAdmission #opportunity #PhDposition #research

[Dept of Human-Centered Design, IIIT Delhi @hcdiiitd]

Wishes from Dr. Indrani De Parker (Faculty HCD, IIIT Delhi) to the incoming batch of CSD 2021-25.
Induction 2021
#Inductioniiitd #iiitd #hcd #hcdiiitd

[Dept of Human-Centered Design, IIIT Delhi @hcdiiitd]

Wishes from Dr. Rajiv Ratn Shah (HoD, HCD IIIT Delhi) to the incoming batch of CSD 2021-25.
Induction 2021
#Inductioniiitd #iiitd #hcd #hcdiiitd

[Multimodal Digital Media Analysis (MIDAS) Research @midasIITK]

Immediate opening for a Teaching Fellow in @hcdiiitd, @IIITDelhi. Candidates having good sense of design and experience with UI/UX/HCI etc may apply.

Feel free to reach @RatnRajiv for any further details.

#Opening #TF #HCD #UI #UX #HCI #Design

[Dept of Human-Centered Design, IIIT Delhi @hcdiiitd]

Amazing Opportunity: Full-time Job Opportunity
Position: Teaching Fellow
Last date extended: 15th December 2021
Eligibility and details : https://t.co/TygQM3O2jQ
To Apply : https://t.co/RD9rxcPswG
Hurry-up and apply...
#HCDIIITD #IIITD #HCD #opportunity #jobalert #vacancy

[Multimodal Digital Media Analysis (MIDAS) Research @midasIITK]

More details at https://t.co/hCFnF8MJJv

#AAAI #EAAI #Blog #Publication #Research

[Multimodal Digital Media Analysis (MIDAS) Research @midasIITK]

An interesting blog by @sriramsk99 based on our paper with @YamanKSingla @RatnRajiv and Prof Changyou Chen: "Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees" at EAAI @RealAAAI 2022.

https://t.co/gcy9LpuBtk

[Multimodal Digital Media Analysis (MIDAS) Research @midasIITK]

1. Human Vehicle Interface using Android Development/Flutter Development (More details at https://t.co/2SRmn4nMp5)

2. Driver state monitoring using Machine learning/Deep learning (More details at https://t.co/Oca8OnP5xq)

[Multimodal Digital Media Analysis (MIDAS) Research @midasIITK]

Multiple openings in our project on autonomous vehicle project.

More details at https://t.co/3kJpkRLRKo

#RA #Intern #AutonomousDriving

[Somesh @someshsingh22]

No need for data to craft adversaries anymore! �� Check our paper "MINIMAL: Mining Models for Data Free Universal Adversarial Triggers" @RealAAAI #AAAI2022. Extremely grateful for the 4 accept reviews as this will be my first A* publication in #NLProc!

https://t.co/pDkDCyWNfI

[Somesh @someshsingh22]

Recent work in adversarial NLP has shown impressive results in trigger-based attacks, however these approaches are data intensive. MINIMAL a novel data-free approach mines input-agnostic adversarial triggers from models using the impressions produced with our data-free algorithm.