The following students of 6^th Semester (being promoted to 7^th sem) did not appear for the group division test held on Jun 8, 2021 for placement classes despite being notified by CEC cell.

This is an important activity for the upcoming placements in 7^th Sem and such an irresponsible attitude from students is not expected.

A repeat test for these students will be conducted for allocating them a group on Saturday, Jun 26, 2021, between 5:00 PM to 7:00 PM. The test will consist of 10 MCQs and 3 programming questions of which 1 is easy, 1 is medium and 1 will be hard.

If a student does not appear in the test disciplinary actions with respect to placements will be initiated.

The List of Absentee Students is available at the following link. Click the link to download it:

http://btechcsegehu.in/wp-content/uploads/2020/12/GEHU-Group-division-test-not-attended.pdf

All the students are informed that their IV Semester Mini Project Viva will take place according to the schedule given in the Link below. Click the following Link to download the full schedule:

http://btechcsegehu.in/wp-content/uloads/2020/12/IV-Sem-Mini-Project-ScheduleInternal-Faculty-2.pdf

Dear students(4th Semester), Please click the below link to download the modified schedule for mini project viva:

http://btechcsegehu.in/wp-content/uploads/2020/12/4th-sem-mini-project-notice.pdf

Notice: Selection Test for Adobe UX Design Foundation Course on 19th June ‘2021,Saturday

As informed, the first selection test for the above program will be held on 19th June’2021,6:00pm to 07:00pm.
The link will be shared to all the registered students on the telegram group given in the registration form.
The quiz will have 60 questions on general aptitude, basic Web, UX, Data Science, etc and of 60 minutes.
For reference telegram link : https://t.me/joinchat/_6u8TqN8NOA2Mzk9

NOTE:  Only registered students will be considered for the selection process, no new entry will be entertained at this moment.

The  registration window for the above mentioned program is now closed.
Due to  huge number or responses, a test will be conducted for all the registered students next week for final selection.
The modalities and other details will be shared soon here.

Notice: Nominations Invited for Samsung’s PRISM Program

We are happy to inform that GEU & GEHU has been selected for SAMSUNG’s PRISM program.

Self-nominations are invited from current BTech students of 4^th and 6^th sem  (being promoted to 5^th and 7^th sem) and also from MTech and PhD students for the program.  BTech students will be selected on the basic of a coding test which will be conducted by Samsung in the first week of July.  MTech and PhD students will be selected based on recommendations from their supervisors/Head of the Department. While filling the form students are advised not to make mistake in their email ids as entire communication from Samsung will be done on the given email id.

The last date to fill the form for the self-nomination of students is 15/06/2021. The launch event will be organized at the end of June

The form for For B.Tech/ M. Tech./ Ph.D. students is available here: https://forms.gle/Mmywfkeqsj2MFTMa7

About Samsung PRISM:

‘Samsung PRISM – PReparing and Inspiring Student Minds’.
You can read more about it at https://www.samsungprism.com/

Samsung PRISM is a student program designed to engage Professors and Students on industry-relevant projects in cutting edge technologies along with R&D Team Mentors at Samsung. This gives students and Assistant/Associate/ Professors the opportunity to work on a unique problem statement (we call it a ‘work-let’) which directly contributes to R&D work happening in Samsung. As part of this Program, we collaborate with relevant departments/Professors on the work-lets and give an opportunity for joint publications/patents as a result of the engagement. Each team will consist of 1 Professor working with 3-4 Students. And each problem statement is designed such that you can work on the problem statement from the college campus itself with regular guidance from Samsung R&D Team mentors.

Some notable area of collaborations are as follows:

– Computer Vision

– Artificial Intelligence/ Machine Learning (Voice, On-Device &Data)

– Speech Processing (Voice)

– Internet of Things

– 5G/Communication

– Image Processing (Vision- Camera)