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Mid-Term Lab Exams Notice for 3rd and 5th Semester (Updated Timings)

Mid-Term Lab Exams Notice for 3rd and 5th Semester The Regular Mid-Term Lab Exams of 3rd and 5th Semester Students will held as per the following schedule. The Exams are for 25 marks. The break up of marks is: 10 Marks MCQ and 15 Marks Writeup. Due to current situation the exams will be held online through Exam Process and Time Information: You will login to the exam portal with your username and password at the given start time as in the schedule (9AM in morning and 2PM in afternoon) You will first attempt the MCQ test. You will get 15 minutes for the MCQ test. So, for an exam in the morning session the MCQ will end at 9.15 AM and for the afternoon session the MCQ will end at 2.15 PM. The writeup part will start immediately after the MCQ, i.e., at 9.15 AM for the morning session and 2.15 PM at the evening session. You will get 40  minutes for writeup and 20 minutes for uploading. This means you should upload your answer script in the morning session by 10.15 AM and in the evening session by 3.15 PM. No other mode of submission will be entertained under any circumstances. Click Here for the Exam Schedule

30 Immediate Openings for AWS Solution Architect Certified Students

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 (, 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 - 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 7th Semester Students

Final Year Major Project Initiation for 7th Semester Students The Final Year Students currently in 7th 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 20th October, 2020), a complete Design Document after End-Term Exams of 7th semester, a progress report/presentation at around Feb 2021, and a final demonstration with complete report submission at the end of 8th
  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 :
  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 20th Oct, 2020. For group projects please ensure that only one of you is submitting, DONOT submit multiple entries. Link:
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

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 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 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
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
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

Departmental Nodal Team for Examinations

Departmental Nodal Team for Examinations The mid term exams 2020 for 3rd and 5th semester students are commencing on 14th September, 2020 as per schedule already displayed. You must have already received the rules and regulations regarding the exam modalities from your class coordinators. If you have any question regarding the modalities you should contact on any of the number given in the rules and regulations document. The Department has constituted the following Nodal Team to look into any last-minute problem arising on the days of exam. You may contact any of the following members if you encounter any significant issues. However, keep in mind that you should contact the committee member(s) only if your issue remains unresolved by contacting any of the grievance handling numbers in the Rules and Regulations document.   CSIT Nodal Committee for Exam Related Issues:
  1. Ankur Choudhary (Nodal Officer)-9760316521
  2. Sumit Pundir (Member)-9997219039
  3. Parul Madan (Member)-9557840852
  4. Hemant Pokhriya (Member) -9634749537
  5. Noor Mohd. (Member) -9897404423
You may contact the specific subject Nodal Facilitator for issues arising of the particular subject:
  1. Logic Design-Hemant Pokhriya(9634749537)
  2. OOPS with C++: Ashwini Kumar(9999248007)(9999022385)
  3. Fundamentals of Cloud Computing and Bigdata: Dr Preeti Mishra(8218061127)
  4. Fundamentals of Cyber Security: Dr. Mohd Wazid(8886789560)
  5. Fundamentals of IoT: Dr. Sourabh Jain(9837629011)
  6. Discrete Structures and Combinatorics: Manish Mahajan(9953320255)
  7. Fundamentals of Data Science: Vikas Tomer(7060734224)
  8. Fundamentals of Machine Learning: Akshay Rajput(8076310017)
  9. Software Engg Fundamentals: Neha Garg (9897738782)
  10. Introduction to Web Technology: Manish Sharma(9634432297)
  11. Data Structures: Upendra Aswal(9410712790)
  12. System Software: Piyush Agarwal(7829983490)
  13. Operating Systems: Prabhjot Singh(7755057882)
  14. DBMS: Ankur Choudhary(9760316521)
  15. Software Engg: Garima(9958177157)
  16. Machine Learning: Dr. Rahul Nijhawan(7900283321)(8791758262)
  17. Computer System Security: Dr. Mohd Wazid(8886789560)
  18. Cloud Based App Development: Dr. Sachin Sharma(8319682981)
  19. Bigdata Storage and Processing: Garima(9958177157)
  20. Hadoop Fundamentals: Dr. Vijay SIngh(9760322316)
  21. SCALA Programming: Garima(9958177157)
  22. Data Science: Dr. Vikas Tripathi(9634596042)
  23. Virtualization and Cloud Computing: Dr. Preeti Mishra(8218061127)
  24. Mobile Application Development: Manish Sharma(9634432297)
  25. Artificial Intelligence: Dr. Vikas Tripathi(9634596042)
  26. Design and Analysis of Algorithms: Ankit Tomar(9917200087)
  27. Software Engg: Garima(9958177157)
  28. Java: Priyank Pandey(9560950771)

Mini Project Notice for 3rd Semester Students CE,CST and CE&CSE Specializations

Mini Project Notice for 3rd Semester Students CE,CST and CE&CSE Specializations The following lists mini-project topics for the students of BTech-CSE(All Specializations) & CE(Software Engineering) 3rd semester. Along with the project list, name(s) of faculty members are given who would act as the resource person for the topic. Note that you are required to understand, study and implement the topic on your own. The Resource person may only be contacted if you need advice on things like dataset, suitable tools etc. Resource persons will NOT advice you in any way in the coding part, they will also NOT evaluate your projects. For CSE Core students there is a separate notice. Mini Projects will be done individually. No group work is allowed. Expected Evaluation Date: First week of November. Exact dates of evaluation will be subsequently notified. Evaluation Panel(s): Will be notified
Specialization List of Topics
Computer Engineering (CE) Click Here
CE(Software Engineering) Click Here
Computer Science and Technology (CST) Click Here
CSE(Cloud Computing) Click Here
CSE(Data Science) Click Here
CSE(Machine Learning) Click Here
CSE(Cyber Security) Click Here