Rescheduling of Mid Lab Exams All the Mid-Tern Lab Exams scheduled on Friday, 30 Oct 2020 are shifted and now rescheduled on Tuesday, 03 Nov 2020 due to Adobe Test. Time of Exam will remain same. Data Science using Scala Lab for 5^th Sem DS and ML students scheduled on 29^thOct, 2020 is rescheduled on 2^nd November, 2020. Start Time is 10 AM

30 Immediate Openings for AWS Solution Architect Certified Students

The following has been offered by our Industry Partner for the benefit of GEU students: Empowering the next generation of cloud computing professionals is a priority at AWS, and we are thrilled to bring the following position to your attention. Virtusa (www.virtusa.com), an AWS APN Premier Consulting Partner, is seeking 30 (Thirty) Certified Associate Solutions Architects. This is a full time IMMEDIATE opportunity with Virtusa. Please share information about this role with your AWS Certified Academy graduates: • Job Description: BE (IT, CSE, E&C, E & C) OR MCA OR MSc – should be definitely AWS Solution Architect – Associate certified • Location: Chennai, Hyderabad • Application deadline – 15th Oct Students who meet the criterion (only Solutions Architect – Associate certified) can directly apply for the position at the following url - https://tinyurl.com/y27s4l37 Please note that the hiring is Immediate a) Students who cannot join the organization in the next 1-2 months (ideally 2020 graduates and students who will graduate in 2021) should not apply b) DO NOT submit CV’s who are not Solutions Architect – Associate certified

Final Year Major Project Initiation for 7^th Semester Students The Final Year Students currently in 7^th Semester are to initiate their final year major project. While the final year project is a core essential part of your BTech degree, it is also highly valued for future career, since it supports students engaging in realistic activities which reinforce their understanding of the discipline, and draws on skills acquired in different modules throughout their degree.

1. Choose a topic which where you will apply knowledge and skills you have gained from the courses taught and the skills you have gained through internships, self-study etc. Students are expected to apply good practice they have already learned during previous semesters, as well as learning any new technologies and other material which may be necessary to progress their work.
2. Try to choose a topic which will be a great value addition to your career.
3. Each student will work under a supervisor, who would normally be from the Computer Science Department, but supervisors from other departments or premier institutes/Industry are acceptable on case-to-case basis (see point no 7). Broad areas in which Department Supervisors will offer guidance is enlisted in the following table.
4. Talk with your supervisor to choose topics that solve real world problems, society problems, technical problems and topics that aims to handle current and future industry trends
5. A Final year project has to have a major implementation part, either in code or hardware or both. It cannot be a completely theoretical topic.
6. There are four “deliverables” — an initial formal title and abstract of their project (by 20^th October, 2020), a complete Design Document after End-Term Exams of 7^th semester, a progress report/presentation at around Feb 2021, and a final demonstration with complete report submission at the end of 8^th
7. The Department also encourages Inter-disciplinary, Inter-University, Industry-collaborative projects. For Inter-Disciplinary Projects (for example Biotechnology-Computer Science, Electronics-Computer Science etc.) you can have two or more supervisors from all the concerned Departments For Inter-University projects you can have supervisors from GEHU or from Premiere Institutes (IITs , NITs and IIITs only). A co-supervisor from the Department can be taken. For Industry Collaborative Projects you can have supervisors from Prominent Industries (Major organizations only like IBM, Oracle, Amazon etc). A co-supervisor from the Department can be taken. For Inter-Disciplinary, Inter-University and Industry-Collaborative projects you need to take prior permission. Send a mail to : indialorATgmail.com
8. Projects can be done individually or in groups. Maximum four students is allowed in a group.
9. Please fill up the initial details and abstract in the given link by 20^th Oct, 2020. For group projects please ensure that only one of you is submitting, DONOT submit multiple entries. Link: https://forms.gle/bRTzUieppMDryGkd9

 

Sl No	Faculty	Areas for Supervision / Projects
1	Akanksha Kapurwan	Programming Languages, Web Technologies
2	Akansha Gupta	Machine learning, Artificial Intelligence, Soft Computing
3	Akshay Rajput	Machine learning, social media data mining, NLP, Artificial Intelligence
4	Ankit Tomar	Social distancing alert based system in deep learning using crowd density estimation./ Deep Learning, Crowd emotions recognition using advanced deep learning algorithms./ Deep Learning, People anomaly detection using advanced deep learning algorithms./ Deep Learning
5	Ankur Choudhary	Broad Area : Routing protocols for Wireless Sensor Networks   Sample Project Topics: Expected - basic understanding of Wireless Sensor Networks. Task- Work out a well established hierarchical routing protocol, preferably using MATLAB (not restricted),  further the student is expected to extend this worked out implementation.   Expected - basic understanding of Wireless Sensor Networks. Task- Work out any two well established classical flat routing protocols, preferably using MATLAB (not restricted),  further the student is expected to carry out a relative study between the worked out implementations.
6	Ashish Garg	Machine Learning, Data Analytics, Machine Learning
7	Ashwini Kumar	Natural Language Processing, Speech Recognition, Deep Learning
8	Deepak Uniyal	Natural Language Processing, Twitter Data Analysis, Information Retrieval
9	Devyani Rawat	Programming Languages, Data Analytics
10	Dibyahash Bordoloi	Superscalar Processor Architectures, Speculation in Processors, Virtual Scene Generation
11	Dr. Bhaskar Pant	Machine Learning, Artificial Intelligence, Bioinformatics, Data Mining
12	Dr. Devesh Pratap Singh	Wireless Sensor Networks, System Programming
13	Dr. Durgaprasad Gangodkar	Computer Vision, Cloud Computing, Multicore Computing, Big Data Storage
14	Dr. Manoj Diwakar	Medical Image denoising, Image Enhancement using fusion approach, Image Security using encryption/watermarking
15	Dr. Mohammad Wazid	ML security, Blockchain based security protocols, Security and privacy protocols in healthcare informatics
16	Dr. Preeti Mishra	Cloud Security, Android Security, Docker Security, IoT Security
17	Dr. Sachin Sharma	IoT, Cloud Computing, VANET
18	Dr. Santosh Kumar	Ubiquitous Computing, Software Engineering
19	Dr. Sharad Gupta	Image Processing, Machine Learning
20	Dr. Sourabh Jain	IOT based Manhole Detection and Monitoring System, IOT Based Automatic Vehicle Accident Detection and Rescue System, IOT Based Toll Booth Manager System
21	Dr. Vijay Singh	IoT, Recommender Systems, Data Analytics, Cloud Computing, Web Technologies
22	Dr. Vikas Tripathi	Computer Vision , Machine learning, Image Processing
23	Garima Sharma	Data Mining, Machine Learning, Data Analysis
24	Hemant Singh Pokhariya	Land cover classification of remote sensing data, Optimized machine learning scheme of land cover Classes, LANDSAT  data, Effect of Urbanisation on other land cover classes
25	Himanshu Rai Goyal	Wireless Sensor Networks, IoT
26	Kireet Joshi	Data Mining, Machine Learning, Software Engineering
27	Manish Mahajan	Anomaly Analysis, Cryptography
28	Manish Sharma	Web Technologies, Artificial Intelligence, Mobile Applications
29	Neha Tripathi	Software Engineering
30	Nisha Chaube	Programming Languages
31	Noor Mohd	Intrusion Detection System,Mobile Adhoc Networks, Wireless Sensor Networks,Self Configurable Networks
32	Palak Agarwal	Web Technologies, Programming Languages
33	Pankaj Kumar	Systems Programming, Programming Languages
34	Parul Madan	Databases, Web Technology, Wireless Sensor Networks
35	Piyush agarwal	IoT, Big Data Analytics
36	Prabhjot Singh	Crowd counting  using deep learning , Deep learning, Computer Vision , Natural Language Processing
37	Priyank Pandey	Databases, Web Technologies, Machine Learning, Natural Language Processing
38	Ramesh Singh Rawat	IoT, Multimedia
39	Ruchira Rawat	Programming Languages, Algorithms
40	Sanjeev Kukreti	Web Technologies
41	Sarishma	Blockchain, Cloud security, Docker
42	Saurabh Kumar Mishra	Algorithms, Data Mining , Sentiment Analysis
43	Siddharth Gupta	Machine Learning, Deep Learning, Mobile Communications(4G Volte)
44	Sumit Pundir	Computer Networks
45	Swati Devliyal	IOT,ITS,ML
46	Upendra Ashwal	Data Structures
47	Vikas Tomer	Data Science, Machine Learning
48	Vishan Kumar Gupta	Data Science, Artificial Intelligence
49	Vishu Tyagi	Opinion Mining, Information Retrieval, Recommender System

     

Mid-Term Make Up Practical Exam Schedule The Odd Semester Mid Sem Make Up Practical will be held according to the following schedule. Only those students who have filled the forms are eligible to appear for the exams. The list of students who have filled the forms can be seen here: Click Here Due to the prevailing pandemic situation, the exams will be held online. The exams will consist of two parts- One MCQ/Viva (10 Marks) and other Write Up (15 Marks). You will login to exam.geu.in on the designated day and time with your login and password. Wherever Viva is taken in place of MCQ the concerned faculty member will call you for viva on the number given by you during form fill-up. If you gave a number which is currently not working, it is your responsibility to contact the faculty member within the given time slot. If you are a pass-out student and do not have a login in exam.geu.ac.in contact the concerned faculty member at least one day before the exam for alternate modalities. Note: This is a notice for Make Up exam only. Regular Lab Exams will be notified later.  

Mid Term Make Up Practical  Schedule
Sn	Subject Name(Subject Code)	Branch	Date/Time	Name of the faculty	Contact No.
1.	Data Structures Lab (PCS302)	CSE	17 Oct, 2020 2PM-5PM	Mr. Upendra Aswal	9410712790
2.	Database Management System Lab (PCS362)	CSE	14 Oct, 2020 10AM-1PM	Ms. Parul Madan	9557840852
3.	Logic Design Lab (PCS301)	CSE,IT	15 Oct, 2020 10AM-1 PM	Mr. Hemant Singh Pokharyia	9634749537
4.	OOPS with  C++ Lab (PCS307)	CSE,IT	14 Oct, 2020 2PM-5PM	Mr. Kireet Joshi	7500275404
5.	Unix & Shell Programming Lab (PCS303)	CSE,IT	15 Oct, 2020 2PM-5PM	Mr. Sanjeev Kukreti	9997226690
6.	Mini Project (CSP301)	CSE	Deadline 15 Oct, 2020, 5 PM	Mr. Piyush Agarwal	piyush221292 AT gmail.com
7.	Operating Systems Lab (PCS506)	CSE,IT	14 Oct, 2020 10AM-1PM	Dr. Vikas Tripathi	7060734224
8.	Operating System Lab +Unix (PCS506)	CSE	14 Oct, 2020 10AM-1PM	Mr. Ankur Chaudhary	9760316521
9.	Data Base Management Systems Lab (PCS503)	CSE,IT	15 Oct, 2020 10 AM-1PM	Ms. Vishu Tyagi	9990456207
10.	Bigdata Storage and Processing  Lab (PCS551)	CSE	15 Oct, 2020 2 PM-5PM	Dr. Vijay Singh	9760322316
11.	Cloud Based Application Development & Management Lab (PCS552)	CSE	15 Oct, 2020 2 PM-5PM	Dr. Sachin Sharma	8319682981
12.	Computer System Security Lab (PCS591)	CSE	15 Oct, 2020 2 PM-5PM	Dr. Mohammad Wazid	8886789560
13.	Design and Analysis of Algorithms Lab (PCS505)	CSE,IT	17 Oct, 2020 10AM-1PM	Mr. Prabhjot Singh	7755057882
14.	Java Programming Lab (PIT508)	IT	17 Oct, 2020 2PM-5PM	Dr. Vishan Kumar	9650405854
15.	Mini project (ITP501)	IT	Deadline 15 Oct, 2020, 5 PM	Mr. Piyush Agarwal	piyush221292 AT gmail.com
16.	OOAD & Computer Networks Lab (PCS707)	CSE	17 Oct, 2020 2 PM-5PM	Mr. Sumit Pundir	9997219039
17.	Project (Phase-I) (CSP701)	CSE	Deadline 14 Oct, 2020, 5 PM	Mail Document to: indialor AT gmail.com