Department of Computer Engineering, College of Technology, Pantnagar
College of Technology · Department

Computer Engineering

Established as a separate department in the College of Technology, offering B.Tech, M.Tech and Ph.D. programmes in computer engineering.

The Department

About the Department

The B.Tech (Computer Engineering) Programme was started in 1984 in the erstwhile department of Electrical Engineering. The separate Department of Computer Engineering came into existence in 1993 after the trifurcation of the Electrical Engineering department. The Department of Computer Engineering, College of Technology offers three programmes viz. B.Tech. (Computer Engineering), M.Tech. (Computer Engineering) and Ph.D.(Computer Engineering).

Department of Computer Engineering
Department of Computer Engineering
Department of Computer Engineering
Department of Computer Engineering
Academics

Programmes

B.Tech
Intake 60
M.Tech
Intake 18
Ph.D.
doctoral research
B.Tech (Computer Engineering) — Graduation Requirement (under NEP-2020), 2025 Batch
CategoryCredits
Humanities and Social Sciences including Management courses12
Basic Science Courses22
Engineering Science Courses including workshop, drawing, basics of electronics/electrical/mechanical/computer etc.19
Professional core courses67
Professional Elective courses relevant to chosen specialization/branch18
Open Elective courses from other technical and/or emerging subjects06
Project work, seminar and internship in industry or elsewhere22
Mandatory courses06
Total172

The courses for Semester I and Semester II have already been approved by the Academic Council. Semester-wise course structure (Semesters III–VIII):

Semester III
S. NoCourse NumberCourse TitleLTPCredits
1.TECN301Analog Electronic Circuits3024
2.TCTN201Data structure and Algorithms3024
3.TCTN202Digital Electronics3024
4.TCTN204Discrete Mathematics3104
5.TCTN215IT Workshop1022
6.BPSN228Probability & Statistics3104
7.NSSN201/NCCN201NSS / NCC001×41
TotalTotalTotalTotalTotalTotal23
Semester IV
S. NoCourse NumberCourse TitleLTPCredits
1.TCTN203Theory of Computation3104
2.TCTN207Computer Organization & Architecture2023
3.TCTN209Design & Analysis of Algorithms3024
4.TCTN302Software Engineering2023
5.TCTN208Microprocessor2023
6.BHSN286Effective Technical Communication3003
7.TIDN/ TSWN/ TPFN200Environmental Sciences3000
8.NSSN202/ NCCN202NSS / NCC001×40
9.TCTN306Computer Communication Systems2023
TotalTotalTotalTotalTotalTotal23
Semester V
S. NoCourse NumberCourse TitleLTPCredits
1.TCTN316Computer Networks3024
2.TCTN317Advanced Programming Methodologies2023
3.TCTN303Database Management Systems3024
4.TCTN308Compiler Design3024
5.TCTN307Operating Systems3024
6.TCTN…Program Elective-I3003
6.TCTN…Program Elective-I2023
7.NSSN301/NCCN301NSS / NCC001×41
TotalTotalTotalTotalTotalTotal23
Semester VI
S. NoCourse NumberCourse TitleLTPCredits
1.TCTN418Cyber Security2023
2.TCTN401Machine Learning3024
3.TIPN454Entrepreneurship Startup & Management Practices2103
4.TCTN432Artificial Intelligence3024
5.TBEN300Biology for Engineers3003
6.TCTN395Computational System Design0063
7.TCTN…Program Elective-II3003
7.TCTN…Program Elective-II2023
8.NSSN302/NCCN302NSS /NCC001×40
9.TCTN391Practical Training--4 weeks0
TotalTotalTotalTotalTotalTotal23
Semester VII
S. NoCourse NumberCourse TitleLTPCredits
1.OECOpen Elective-I3003
2.OECOpen Elective-II3003
3.TCTN…Program Elective-III3003
3.TCTN…Program Elective-III2023
4.TCTN…Program Elective-IV3003
4.TCTN…Program Elective-IV2023
5.TCTN494Minor Project00147
6.TCTN491Seminar0021
TotalTotalTotalTotalTotalTotal20
Semester VIII
S. NoCourse NumberCourse TitleCourse TitleLTPCredits
1.TCTN…/TEM…Program Elective-V/MOOCProgram Elective-V/MOOC3003
1.TCTN…/TEM…Program Elective-V/MOOCProgram Elective-V/MOOC2023
2.TCTN…/TEM…Program Elective-VI /MOOCProgram Elective-VI /MOOC3003
2.TCTN…/TEM…Program Elective-VI /MOOCProgram Elective-VI /MOOC2023
3.TCTN495Major Project*(Either Project in the college or Internship)002814
3.TCTN499Internship *(Either Project in the college or Internship)--14 weeks minimum14
TotalTotalTotalTotalTotalTotalTotal20

Total Credits: 172 credits. *MOOC course through NPTEL/SWAYAM (the courses will be decided prior to the semester in which the course has to be registered).

Note: Those students who have not taken Hindi either at the High School/equivalent level or Intermediate/equivalent level will also require to register the course BHS173 Elementary Hindi.

Professional Elective & Open Elective Courses (B.Tech Computer Engineering)
TypeCourse No.Course TitleLTPC
Professional / ElectiveTCTN411Parallel and distributed algorithms2023
Professional / ElectiveTCTN412Computational Complexity3003
Professional / ElectiveTCTN415Information Theory and Coding2023
Professional / ElectiveTCTN416Quantum Computing2023
Professional / ElectiveTCTN417Object Oriented Programming2023
Professional / ElectiveTCTN418Cyber Security2023
Professional ElectiveTCTN422Advanced Computers Architecture2023
Professional ElectiveTCTN423Distributed Systems2023
Professional ElectiveTCTN424Embedded Systems3003
Professional ElectiveTCTN425Fault Tolerant Computing2023
Professional ElectiveTCTN426Real Time System2023
Professional ElectiveTCTN427Ad-hoc & Sensor Networks2023
Professional ElectiveTCTN428Internet of Things2023
Professional ElectiveTCTN433Data Mining2023
Professional ElectiveTCTN434Soft Computing2023
Professional ElectiveTCTN435Speech and Natural Language Processing2023
Professional ElectiveTCTN436Neural Networks and Deep Learning2023
Professional ElectiveTCTN461Digital Image Processing2023
Professional ElectiveTCTN463Cloud Computing2023
Professional ElectiveTCTN464Human Computer Interaction2023
Professional ElectiveTCTN465Optimization Techniques3003
Professional ElectiveTCTN466Cryptography and Network Security2023
Professional ElectiveTCTN467Computer Graphics & Animation2023
Professional ElectiveTCTN468VLSI System Design2023
Professional ElectiveTCTN469Computer Vision2023
Open Elective (To be offered to the Students of other Departments of Engineering)TCTN381Programming for Artificial Intelligence and Machine Learning Applications3003
Open Elective (To be offered to the Students of other Departments of Engineering)TCTN382Data Science Applications3003
Open Elective (To be offered to the Students of other Departments of Engineering)TCTN481Cyber Law and Ethics3003
Open Elective (To be offered to the Students of other Departments of Engineering)TCTN482IoT Applications3003
Our people

Faculty

Each profile carries the faculty member's qualifications, research interests and publications.

Dr. S. D. Samantaray
Dr. S. D. Samantaray
Professor & Head
+91-9412987200, +91-8475001563
sdsraytcpgbpuatacin
sdsraygmailcom
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Dr. Rajeev Singh
Dr. Rajeev Singh
Professor
+91-7055621242
rajeevsinghtcpgbpuatacin
rajeevpecgmailcom
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Prof. B. K. Singh
Prof. B. K. Singh
Associate Professor
+91-9411159650, +91-6395907475
bksinghtcpgbpuatacin
bhupeshkumarsinghgmailcom
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Prof. Jalaj Sharma
Prof. Jalaj Sharma
Associate Professor
+91-9412439290
jalajsharmatcpgbpuatacin
jalajsharmacsegbpuat-techacin
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Dr. P. K. Mishra
Dr. P. K. Mishra
Associate Professor
+91-9412663733
pkmishragbpuatacin
pkmishracsgmailcom
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Dr. Sunita Jalal
Dr. Sunita Jalal
Associate Professor
+91-6398276185
sunitajalaltcpgbpuatacin
sunitajalalgmailcom
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Dr. Chetan Singh Negi
Dr. Chetan Singh Negi
Associate Professor
+91-8449177755
csnegitctgbpuatacin
negichetangmailcom
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Other Permanent Staff
PhotoNameDesignationMobile No.
Dr. Subhash ChandDr. Subhash ChandSystem Manager9410580500
Smt. Nishat TarannumSmt. Nishat TarannumHead Assistant8171529811
Sri. Om Prakash GuptaSri. Om Prakash GuptaLab Assistant8439224595
Sri. Anurag SaxenaSri. Anurag SaxenaLab Assistant8218709151
Sri. Manoj SaxenaSri. Manoj SaxenaLab Assistant9412120825
Sri Anil KumarSri Anil KumarAgriculture Labor8791441523
Sri. Mahesh Chandra BhattSri. Mahesh Chandra BhattCook6397169365
Infrastructure

Facility

Departmental laboratories, computing infrastructure and software available to students and faculty.

Departmental Facilities

Following are the facilities in the department:

  • Main System & server Lab
  • Software Laboratory
  • Computer Network & Data Communication Lab
  • Internet & Web Technology Lab
  • Graphics & Multimedia Lab
  • Automation Lab
  • Microprocessor Laboratory
  • Digital Logic Laboratory
  • Software Engg. Laboratory
  • Information Technology Laboratory
  • Computer Center
  • Computer Architecture Lab
  • DBMS & Knowledge & Data Engg. Lab
  • Open Source Lab
  • PG Lab
  • Computational Intelligence and Informatics Lab
Software
  • VLSI Design Suite VHDL, Verilog
  • Specialized Equipment
  • SPSS Clementine Server
  • Oracle 8i
  • Windows NT Server
PG Lab, Department of Computer Engineering
PG Lab
Laboratories & Lab In-charge
Lab NameLab In-chargeLab Assistant
Main System & Server LabDr. Rajeev SinghSri. Manoj Saxena
Software LabDr. Sunita JalalSri. Om Prakash Gupta
Computer Network & Data Communication LabProf. Jalaj SharmaSri. Om Prakash Gupta
Internet & Web Technology LabDr. P.K. MishraSri. Om Prakash Gupta
Graphics & Multimedia LabDr. P.K. MishraSri. Om Prakash Gupta
Automation LabDr. Rajeev SinghSri. Anurag Saxena
Microprocessor LabProf. Jalaj SharmaSri. Om Prakash Gupta
Digital Logic LabProf. Jalaj SharmaSri. Om Prakash Gupta
Computer CenterDr. S.D. SamantaraySri. Anurag Saxena
Computer Architecture LabDr. P.K. MishraSri. Om Prakash Gupta
DBMS & Knowledge & Data Engg. LabDr. Rajeev SinghSri. Manoj Saxena
Open Source LabProf. B.K. SinghSri. Om Prakash Gupta
P.G. LabDr. S.D. SamantaraySri. Anurag Saxena
Computational Intelligence and Informatics LabDr. S.D. SamantaraySri. Anurag Saxena
Laboratory Photographs
Software Lab
Software Lab
Computer Network & Data Communication Lab
Computer Network & Data Communication Lab
Graphics & Multimedia Lab
Graphics & Multimedia Lab
Microprocessor Lab
Microprocessor Lab
Digital Logic Lab
Digital Logic Lab
Computer Center
Computer Center
Computer Architecture Lab
Computer Architecture Lab
DBMS & Knowledge & Data Engg. Lab
DBMS & Knowledge & Data Engg. Lab
P.G. Lab
P.G. Lab
Computational Intelligence and Informatics Lab
Computational Intelligence and Informatics Lab
Students

Student Info

B.Tech. student list and M.Tech. student rosters with thesis titles.

M.Tech. — Completed Theses (2016–2022)
Batch: 2021-2022
Sl.No.Student NameID No.Name of AdvisorBatchThesis Title
1.Akash Arya57990-2022-
2.Rajneesh Kumar57233-2022-
3.Geetanjali Pandey57982-2022-
4.Prakriti Semwal57964-2022-
5.Risabh Kushawah57979-2022-
6.Akanksha Gautam58036-2022-
7.Arshi Khan58039-2022-
8.Meenal Joshi58409-2022-
Batch: 2020-2021
Sl.No.Student NameID No.Name of AdvisorBatchThesis Title
1.Nimesh Maheswari56989Prof. Sunita Jalal2021-
2.Jyoti Ratna56992Dr. Rajeev Singh2021-
3.Jyoti Pokhariya57079Prof. P.K. Mishra2021-
Batch: 2019-2020
Sl.No.Student NameID No.Name of AdvisorBatchThesis Title
1.Yash Kumar Goel55541Dr. S.D. Samantaray2020Multi Label Classification of News Titles Using Bidirectional Long Short- Term Memory Model
2.Shweta Agarwal55556Prof. B.K. Singh2020Stock Price Prediction using LSTM Approach
3.Kritika Joshi55613Dr. Rajeev Singh2020Cloud-based Real-Time Soil-Moisture Content Monitoring Using loT and Unmanned Aerial Vehicles"
4.Garima Pandey55310Prof. P.K. Mishra2020A Hybrid Artificial Bee Colony Genetic Algorithm (ABCGA) Approach for Energy Efficiency in Wireless Sensor Network Communication
5.Lakshita Agarwal55610Prof. Jalaj Sharma2020Evaluation of Controller Placement Approaches in SDN-Based 5G Networks
6.Mithilesh Pandey55316Prof. Sunita Jalal2020Using Ensemble and TOPSIS with AHP for Classification and Selection of Web Services
Batch: 2018-2019
Sl.No.Student NameID No.Name of AdvisorBatchThesis Title
1.Abhay Singh Bisht53885Dr. S.D. Samantaray2019In silico prediction of amino acid sequence of known genes of chicory using computational techniques
2.Dheeraj Kumar54121Dr. S.D. Samantaray2019Identification of Nutritionally Important Proteins in Amaranth us Genes using Sequence Mining
3.Neema Bhandari54100Prof. B.K. Singh2019Music Genre Classification using Convolution Neural Network
4.Lokesh Kumar54126Prof. B.K. Singh2019Music Genre Classification using RNN-LSTM Approach
5.Dinesh Bafila54101Dr. Rajeev Singh2019Field Boundary Detection using Drone
6.Neha54134Dr. Rajeev Singh2019Use of Drone in Disease Identification from Leaves by Deep Learning through YOLO v3 and CNN Architecture
7.Dhirendra54108Prof. P.K. Mishra2019Clustering Using Firefly Algorithm for the Wireless Sensor Network
Batch: 2017-2018
Sl.No.Student NameID No.Name of AdvisorThesis Title
1.Bhavna Chilwal52792Prof. P.K. MishraA Fuzzy Logic Based Model for Detecting Leaf Blast Disease in Rice Crop with ANFIS and Linear Regression Technique.
2.Anukriti Pandey52775Prof. B.K. SinghAlternate Approach of Design of S-Boxes and their Evaluation.
3.Sunayana Arya52827Dr. Rajeev SinghDeep Learning Approaches for Detection of Disease in Potato and Mango Leaves.
4.Pratima Tiwari52820Prof. B.K. SinghClimate based Factor Analysis and Epidemiology Prediction for Potato Late Blight using Machine Learning Approaches.
5.Nikhilesh Kumar52796Prof. B.K. SinghExtreme Learning Machine Approach for Prediction of Forest Fires using Topographical and Metrological Data of Vietnam.
6.Bhavna Agarwal52818Dr. S.D. SamantarayAn Integrated Approach for Cyber Attack Prediction Using Honeynet and Socialnet Data, Applying Improved Association Rule Mining Technique.
7.Mahesh Banerjee52471Dr. S.D. SamantarayNetwork Traffic Analysis Based IoT Botnet Detection Using Honeynet Data, Applying Classification Techniques.
8.Rakesh Kumar52784Dr. Rajeev Singh---
Batch: 2016-2017
Sl.No.Student NameID No.Name of AdvisorThesis Title
1.Krishanveer Gangwar51113Prof. C.S. NegiImage classification using Convolutional Neural Network with Tensorflow.
2.J. Rohan43456Dr. Rajeev SinghApplication of FCM, GLCM & DWT and SVM for Disease Identification in Mango.
3.Shweta Kharayat42438Prof. B.K. SinghClassification of Liver Disorder from Serum Profile Using Extreme Learning Machine.
4.Gaurav Rawat50891Prof. P.K. MishraAdaptive MIMO-OFDM to evaluate the performance of wireless multimedia sensor network.
5.Shivangi Awasthi51225Prof. P.K. MishraPerformance Evaluation of Fuzzy C Mean and Simulated Annealing based Clustering in WSN.
6.Ashish Tyagi51132Dr. S.D. SamantarayContent based image retrieval system using HSV color space to support take new analysis.
7.Geetika Jodhani42438Dr. S.D. SamantarayFake news detection using test similarity approach.
Research

Sponsored Projects

Externally funded and ongoing research projects in the department.

Sl.No.TitlePIFunding AgencyAmount
1.“North-Western Himalayan Bioinformatics Grid”One of the PIs: / Dr. S.D. Samantaray, Prof. & Head (Computer Engineering)Department of Bio-Technology (DBT)99.99 lakhs
2.“Development of process, systems and digital infrastructure for online-open access version of Pantnagar Journal of Research”Dr. S.D. Samantaray, / Prof. & Head (Computer Engineering)Directorate of Experiment Station8.5 lakhs
3.“Scalable Attack Data Capturing and Analysis / framework for Cyber Threat Intelligence Generation”Dr. S.D. Samantaray, / Prof. & Head (Computer Engineering)CERT-IN in collaboration with CDAC-MohaliServers, Systems and Technology
4.A student project entitled “Location specific malware prediction using data mining approach”Mahesh Banerjee (52471) / Bhavna Agarwal (52818) / Dr. S.D. SamantarayTEQIP-III40,000
5.Development of a Drone Protection System for Hill Farms (DPS-HF)PI: Dr. Rajeev Singh / Professor / Computer EngineeringDesign Innovation Centre2,50,000
6.Enhanced Neural Network for classification of Hyperspectral Imagery using ensemble modelsPI: Dr. Rajeev Singh / Professor / Computer EngineeringIndian Space Research Organization, Department of Space, Government of India21,82,800
7.Online Kisan Mela Portal Development and Mela ConductionPI: Dr. Rajeev Singh / Professor / Computer EngineeringDirectorate of Extension Education, GBPUA&T50,000
Research Papers Published (2022–24)
Name of FacultyTitleJournalYear
Dr. S.D. SamantarayMulti-Label Classification Using Bi-LSTMJournal of Creative Research2022
Dr. S.D. SamantarayCanine Vertebral Column Segmentation with UNet Models: A Positive Approach to Radiographic Image AnalysisInternational Journal of Scientific Research in Engineering and Management (IJSREM)2023
Dr. S.D. SamantarayComparative Analysis of Pre-Trained CNN Architectures for Apple Foliar Disease ClassificationInternational Journal of Scientific Research in Engineering and Management (IJSREM)2023
Dr. Rajeev SinghSmart Border Surveillance System using Wireless Sensor NetworksInternational Journal of Systems Assurance Engineering and Management (IJSA)2022
Dr. Rajeev SinghApplication of drones for protection against animalsJournal of Xidian University2024
Dr. Rajeev SinghMalware Detection and Classification using Generative Adversarial NetworkInternational Journal of Computer Science & Information Technology (IJCSIT)2024
Dr. P.K. MishraABCRF: Atomic Bond Connectivity Based Range Optimized Fuzzy Clustering Algorithm for WSN.Journal2022
Dr. P.K. MishraEEFMCP: Energy efficient fuzzy logic based multi-clustering protocolJournal2023
Dr. P.K. MishraMobileNetV2‑Incep‑M: a hybrid lightweight model for the classification of rice plant diseases. Multimedia Tools and ApplicationsJournal2024
Prof. B.K. SinghDeep Learning Techniques for Brain Lesion Classification Using Various MRI (from 2010 to 2022): Review and ChallengesMed informatics Journal2024
Prof. B.K. SinghProportion Estimation and Multi-Class Classification of Abnormal Brain CellsMed informatics Journal2024
Dr. C. S. Negi, Dr. Sunita JalalA Texture Features-Based Robust Facial Expression RecognitionInternational Journal of Computer Vision and Image Processing2022
Dr. C. S. Negi, Dr. Sunita JalalWatermarking Flat HDR images using SymletInternational Journal of Creative Research Thoughts2022
Dr. C. S. Negi, Dr. Sunita JalalCovid-19 Prediction based on Symptoms using Machine Learning.International Journal of Engineering Research & Technology2022
Dr. C. S. Negi, Dr. Sunita JalalUsing Ensemble and TOPSIS with AHP for Classification and Selection of Web ServicesVietnam Journal of Computer Science2022
Dr. C. S. Negi, Dr. Sunita JalalWeb service discovery with incorporation of web services clusteringInternational Journal of Computers and Applications2023
Dr. C. S. Negi, Dr. Sunita JalalModified Sand Cat Swarm Optimization (MSCSO) based Feature Selection for Classification of Diseases in Tomato LeavesInternational Journal of Computer Science, Engineering, and Information Technology,2024
Dr. C. S. Negi, Dr. Sunita JalalVerification of transaction-aware web services composition through formal methodsInternational Journal System Assurance Engineering and Management2024
Dr. C. S. Negi, Dr. Sunita JalalModified Grey Wolf Optimization based Feature Selection for Tomato Plant Disease ClassificationInternational Conference2024
Dr. C. S. Negi, Dr. Sunita JalalFeature Selection using Modified PSO with Mutual Information for Tomato Leaf Disease IdentificationInternational Conference2024
Dr. C.S. NegiEfficient Malware Classification Using 1D-CNN and Stacked Ensemble TechniquesInternational Conference2024
Dr. C.S. NegiA Unified Framework for Image Denoising using Enhanced Super-Resolution Generative Adversarial NetworksInternational Journal of Intelligent Engineering Informatics2024
Dr. Sunita JalalA deep learning approach for the early diagnosis of Parkinson's disease using brain MRI scansInternational Journal of Applied Pattern Recognition2022
Patents
Sl.No.Name of FacultyTitleApplication No.YearStatus
1.Prof. Chetan Singh NegiMETHOD AND SYSTEM TO CLASSIFY THE IMAGES AS A GENUINE IMAGE AND A FRAUD IMAGE202111042340A2021Filed
2.Prof. Chetan Singh NegiA system for mirror list query architecture of multi-architecture cloud platform mirror warehouse.2022210205122022Filed
3.Prof. Chetan Singh NegiDetection of covid-19 using x-ray images with deep learning based saliency approach202211041508A2022Filed
4.Prof. Sunita JalalMETHOD AND SYSTEM TO CLASSIFY THE IMAGES AS A GENUINE IMAGE AND A FRAUD IMAGE202111042340A2021Filed
5.Prof. Sunita JalalA system for mirror list query architecture of multi-architecture cloud platform mirror warehouse.2022210205122022Filed
6.Prof. Sunita JalalA face identification method based on the combination dct-svm.2022110049542022Filed
Memoranda of Understanding (MoU)

MoU with ITDA, Dehradun — Drone Training & Research.

Felicitation of singing of MoU between College of Technology and ITDA Dehradun regarding Drone Training & Research activities in the College.

Memorandum of Understanding (MoU) is signed between the information Technology Development Agency (ITDA) and College of Technology, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar on 5th December 2022 at ITDA, Dehradun.

Dr. Alaknanda Ashok, Dean COT Pantnagar and Amit Kumar Sinhg (IPS), Director ITDA signed this MoU to initiate drone training for students, faculty members and Researchers of Collge of Technolgy, Pantnagar.

MoU with KOKUMI Technologies Pvt. Ltd., Gurugram.

Felicitation of singing of MoU between KOKUMI TECHNOLOGIES PRIVATE LIMITED, MR 1, JMD Empire Square, MG Road Sikanderpur Ghosi, Sector 28, Gurugram, Haryana and G.B. PANT UNIVERSITY OF AGRICULTURE AND TECHNOLOGY, Pantnagar, Uttarakhand

Preamble

KOKUMI TECHNOLOGIES PRIVATE LIMITED (hereinafter referred to as “KOKUMI” or the Company, a private limited company specializing in advanced technology research and development, and G.B. PANT UNIVERSITY OF AGRICULTURE AND TECHNOLOGY (hereinafter referred to as “GBPUAT” or “the University”), a premier institution of higher learning and research, recognize the mutual benefits or collaboration in pushing the frontiers of technological innovation.

Both Parties wish to establish a framework for high-impact research collaboration to leverage their complementary strengths in artificial intelligence, computer vision, and data sciences to solve complex technological challenges.

Objectives and Scope

The primary objectives of this MOU is to foster a deep-tech research collaboration and product development partnership focused on advancing state-of-the-art computational technologies. The collaboration will strictly focus on fundamental and applied research in the following domains:

Duration

This MOU shall be effective from the date of signing and remain valid for two years, subject to extension by mutual written consent upon successful achievement of research milestones. Either Party may terminate with 60 days written notice, without prejudice to ongoing research commitments.

Roles and Responsibilities

GBPUAT Responsibilities:

KOKUMI Responsibilities:

Joint Responsibilities:

Deliverables and Milestones
Intellectual Property (IP) Rights
Financial Terms
Confidentiality

Both parties agree to maintain strict confidentiality regarding all technical data, codebases, research methodologies, and proprietary information exchanged. This obligation shall survive the termination of this MOU for a period of three (3) Years.

Governing Law and Dispute Resolution

This MOU shall be governed by the laws of India. Any disputes arising under this agreement shall be resolved amicably by the Technical steering committee. If unresolved, disputes shall be referred to arbitration in Gurugram, Haryana.

IN WITNESS WHEREOF, the parties have executed this MOU on the date first above written.

Outreach

Events

Trainings, tech talks, webinars and events organised by the department.

INTERFACE — Branch Chapter of Computer Engineering

Interface, the branch chapter of Computer Engineering, serves as a vibrant hub for students, bringing together a community passionate about technology, innovation, and learning. It offers a unique platform for students to connect with peers, faculty, and industry experts, fostering an environment of collaboration and mutual growth.

Whether through coding challenges, gaming contests, or open-stage performances, the branch chapter bridges the gap between academia and industry, helping students stay updated with the latest trends and technologies. It also allows students to unwind, recharge, and build lasting friendships, making their academic journey both productive and enjoyable.

By being part of this chapter, students gain access to a network that encourages interaction beyond the classroom. The events conducted by Interface, led by experienced faculty and industry professionals, expose students to real-world problem-solving, teamwork, and leadership, all while creating a supportive environment to share knowledge and experiences.

Events Summary — April 2026
Event NameDateVenueFormatParticipants
StageCraft 20263 April 2026114BN Hall NCTOpen Stage / Talent Show60+
Battle-O-Drome 20264 April 2026Respective Hostel (online)Team / Individual (Gaming)50+(Teams=21+)
Code Connoisseur 20263 April 2026Computer Engineering DepartmentIndividual (Coding)35+
TOTAL=145+TOTAL=145+TOTAL=145+TOTAL=145+TOTAL=145+

Event 1 — StageCraft 2026

StageCraft is INTERFACE's premier open-stage talent competition, designed to celebrate the diverse artistic abilities of the student community. The event provides a platform for performers to showcase their skills in dance, singing, drama, stand-up comedy, and other creative disciplines. Beyond technical achievement, StageCraft aims to build confidence, encourage expression, and bring a sense of celebration to campus life.

Date: 3 April 2026  •  Venue: 114BN Hall NCT  •  Participants: 40+  •  Format: Open-Stage Talent Competition (Individual / Group)

Objectives
  • Provide a creative outlet and platform for students to showcase performing arts talent.
  • Foster campus cultural engagement and community spirit.
  • Build confidence, stage presence, and communication skills among participants.
  • Celebrate interdisciplinary talents beyond the technical domain.
Activities & Highlights
  • Live performances across multiple art forms — dance, singing, drama, instrumental music.
  • Energetic audience participation and applause-based appreciation.
  • Special recognition for standout performances by a panel of faculty judges.
  • Interactive backstage management and production experience for volunteers.
Impact

StageCraft provided 40+ students with an opportunity to express themselves creatively, reducing academic stress and building a more holistic campus environment. The event strengthened bonds between students across batches and departments, reinforcing INTERFACE's role as a community-driven chapter.

Coordinator(s), Diksha Singh — 6397245239, Ayush Chhetri — 78189 10379  |  Co-Coordinator(s), Anshika Varshney — 7668389404, Shivansh Bisht — 95281 48846

StageCraft 2026
StageCraft 2026
StageCraft 2026
StageCraft 2026
StageCraft 2026
StageCraft 2026

Event 2 — Battle-O-Drome 2026

Battle-O-Drome is INTERFACE's high-energy e-sports tournament that brings the competitive gaming community to the forefront of campus culture. The event featured three thrilling gaming titles — FIFA (Football simulation), Free Fire (Battle Royale), and BGMI (Battlegrounds Mobile India) — attracting gaming enthusiasts from across the department. With cash prizes and hampers on offer, the event created an electrifying competitive atmosphere.

Date & Time: 4th April 2026, 2:00 PM – 5:00 PM  •  Venue: Department of Computer Engineering  •  Participants: 25+  •  Format: Team & Individual (E-Sports Tournament)  •  Prize: Cash & Crazy Hampers

Games Featured
  • FIFA - Football simulation game; individual/team matches showcasing sportsmanship.
  • Free Fire - Battle royale shooter emphasising quick thinking and team strategy.
  • BGMI (Battlegrounds Mobile India) - Mobile battle royale encouraging collaboration and tactical gameplay.
Objectives
  • Promote strategic thinking and teamwork through competitive gaming.
  • Create a fun, stress-relieving environment to complement academic pressures.
  • Build an inclusive gaming community within the department.
  • Recognise and reward gaming talent with tangible incentives.
Impact

Battle-O-Drome successfully attracted 25+ participants and created a lively, engaging atmosphere in the Computer Engineering department. The event celebrated gaming as a legitimate competitive skill and helped students form new connections and friendships across batches. The cash prizes and hampers added an exciting competitive dimension that motivated high participation.

Coordinator(s), Rujula Singh — +91 7017683971, Priyam Joshi — +91 76681 12875  |  Co-Coordinator(s), Akshita Verma — +91 7454823769, Kuldeep Singh — +91 70888 41687

Battle-O-Drome 2026
Battle-O-Drome 2026

Event 3 — Code Connoisseur 2026

Code Connoisseur, themed "Where Logic Meets Victory", is INTERFACE's flagship competitive coding contest for 2026. The event challenged students to demonstrate problem-solving prowess, algorithmic thinking, and coding efficiency under timed conditions. With 50+ participants, it stands as the highest-participation event of the April 2026 series, reflecting the strong coding culture within the Computer Engineering department.

Date: 3 April 2026  •  Venue: Computer Engineering Department  •  Participants: 50+  •  Format: Individual Competitive Coding  •  Tagline: "Where Logic Meets Victory"

Focus Areas
  • Data Structures — Arrays, Linked Lists, Trees, Graphs, Heaps.
  • Algorithms — Sorting, Searching, Dynamic Programming, Greedy techniques.
  • Problem-Solving — Analytical thinking, edge-case handling, optimised code writing.
  • Competitive Programming — Time-bound execution under real contest conditions.
Objectives
  • Enhance students' competitive programming skills and interview readiness.
  • Foster a culture of algorithmic thinking and code quality.
  • Identify and encourage top coders within the department for national-level contests.
  • Prepare students for coding rounds in campus placements and tech company interviews.
Impact

Code Connoisseur 2026 attracted 50+ participants — the largest participation of all April 2026 INTERFACE events — reflecting the department's strong enthusiasm for competitive coding. The event provided hands-on practice in problem-solving under pressure and served as excellent preparation for placement coding rounds and national competitive programming platforms.

Coordinator(s), Shubhrat Shailwal — +91 63961 41449, Riya Choudhary — +91 84758 35776  |  Co-Coordinator(s), Anurag Chauhan — +91 78198 34107, Divya Sharma — +91 94105 76650

Code Connoisseur 2026
Code Connoisseur 2026
Code Connoisseur 2026
Code Connoisseur 2026
Code Connoisseur 2026
Code Connoisseur 2026

Future Aims of INTERFACE

1. Embracing Emerging Technologies

The industry is experiencing rapid advancements in areas such as artificial intelligence, machine learning, blockchain, quantum computing, and cybersecurity. To remain at the forefront of innovation, the branch chapter will focus on integrating these technologies into its curriculum and events. Organizing workshops, hackathons, and seminars on cutting-edge topics will equip students with the necessary skills to thrive in the future job market.

2. Smoothly Conducting Events

The success of any branch chapter lies in its ability to organise and execute events that engage and benefit its members. Effective event management — through structured planning, clear delegation, and leveraging digital tools for registration and communication — ensures that students gain maximum value from every event conducted.

3. Enhancing Students' Skill Levels

One of the primary goals of the branch chapter is to foster continuous learning and skill development among its members. Workshops, technical bootcamps, and hands-on coding sessions form the backbone of this initiative. Beyond technical expertise, the chapter focuses on enhancing soft skills equally important in today's job market.

4. Expanding Global Collaboration Opportunities

In an increasingly interconnected world, global collaboration is becoming a vital skill. The branch chapter can facilitate international collaborations, allowing students to work on global projects or participate in exchange programs with partner universities. Cross-border hackathons and joint research projects will expose students to diverse perspectives and global trends.

5. Focusing on Sustainable and Ethical Technology

As the world becomes more conscious of sustainability and ethics in technology, the chapter can play a leading role in promoting responsible tech development. Events focusing on green computing, ethical AI, and data privacy can help students understand the importance of creating technology that benefits society and minimises environmental impact.

Executive Members of INTERFACE

Batch — 2022
  • Shubhrat Shailwal
  • Riya Chaudhary
  • Akshat Kumar Singh Jina
  • Diksha Singh
  • Niharika Pandey
  • Ayush Chhetri
  • Nitin Rawat
  • Nandini Rana
  • Rujula Singh
  • Manish Mehra
  • Anushka Katariya
  • Priyam Joshi
  • Aaditya Kapurvan
Batch — 2023
  • Akshita Verma
  • Anmol Deewan
  • Ansh Mani Tiwari
  • Anshika Varshney
  • Anurag Chauhan
  • Arunima Joshi
  • Divya Sharma
  • Krishna Gupta
  • Kuldeep Singh
  • Rippen Jot Kaur
  • Shivansh Bisht
  • Siddharth Raj Porwal
BIS Quiz — BIS Student Chapter

विश्वविद्यालय के प्रौद्योगिकी महाविद्यालय स्थित संगणक अभियंत्रण विभाग में बीआईएस स्टूडेन्ट चैप्टर “BIS Standards on Computers and Networks” विषय पर एक क्विज प्रतियोगिता का सफल आयोजन 18 मार्च 2026 को किया गया। इस प्रतियोगिता में लगभग 100 छात्रों ने उत्साहपूर्वक भाग लिया। जिसका मुख्य उद्देश्य छात्रों को कम्प्यूटर्स एण्ड नेटवर्क्स के मानकीकरण एवं गुणवत्ता से संबंधित बीआईएस मानकों के प्रति जागरूक करना था। प्रतियोगिता में उत्कृष्ट प्रदर्शन करने वाले प्रतिभागियों को नकद पुरस्कार प्रदान किये गये। पुरस्कार वितरण समारोह के मुख्य अतिथि प्रौद्योगिकी महाविद्यालय के अधिष्ठाता, डा0 एस-एस- गुप्ता रहे। इस अवसर पर डा0 लोकेश वार्ष्णेय, अधिष्ठाता, पोस्ट ग्रेजुऐट स्टडीज़, डा0 एस-डी- सामन्तराय, प्राध्यापक एवं विभागाध्यक्ष, डा0 राजीव सिंह, बीआईएस मेंटर, प्रो0 भूपेश कुमार सिंह, प्रो0 जलज शर्मा तथा डा0 सी-एस- नेगी, सह-प्राध्यापक, संगणक अभियंत्रण विभाग उपस्थित रहे।

BIS Quiz competition
BIS Quiz competition
BIS Quiz competition
BIS Quiz competition
BIS Quiz competition
BIS Quiz competition
BIS Quiz competition
BIS Quiz competition
UDBHAV 2025 — AI Idea Pitch Competition (Uttarakhand AI Mission, UKAIM)

UDBHAV 2025 is Uttarakhand’s flagship Artificial Intelligence (AI) idea pitch competition conducted under the Uttarakhand AI Mission (UKAIM). The initiative aims to encourage innovation, promote AI-based solutions, and provide students a platform to present their visionary concepts at a state level.

Our College, Govind Ballabh Pant University of Agriculture & Technology Pantnagar, College of Technology conducted the Level–1 Round of UDBHAV 2025 from 13 to 15 November 2025. The competition consisted of idea submission, presentation rounds, and final evaluation. Selected teams further proceeded to participate in Level–2 at University of Petroleum and Energy Studies (UPES), Dehradun.

Day 1 — Registration & Inaugural Session (13 November 2025)

The event commenced at 10:00 AM with the registration of participating teams at the Multipurpose Building of the College of Technology. Teams were required to provide their:

  • Team Name
  • Team Leader Name
  • Team Members
  • Proposed AI Idea Title

A total of __21_ teams registered for the event.

Registered Teams (21)
Sl No.Team NameLeader Name
1.AdhirathRahul Bhatt
2.ByteMindsAyushman Nautiyal
3.Code SentinalsDeepanshu Pargain
4.Fusion 4Akshita Verma
5.ControllersNaman Agarwal
6.MCodersPratyush Chandra Joshi
7.Mind MatrixKhwaish
8.NebulaLovely Bisht
9.Neuro TechRashmi Durgapal
10.NovaKongposh Saraf
11.PionerraAditya Singh Bisht
12.PseudonerdsNatasha Kandpal
13.Return_ZeroHarsh Kumar
14.Runtime TerrorsTanishka Saini
15.SyntaxsquadHarshit Bisht
16.Tapovan XNandini Chauhan
17.Team DevlokAditiya Aswal
18.Ridgeline InnovatorsAditiya Kapruwan
19.Uttara AIAkash Arya
20.Voice2ActionOm Walia
21.CodeDivasAnushka Kannoja
UDBHAV 2025 — Day 1
UDBHAV 2025 — Day 1
UDBHAV 2025 — Day 1
UDBHAV 2025 — Day 1
UDBHAV 2025 — Day 1
UDBHAV 2025 — Day 1
UDBHAV 2025 — Day 1
UDBHAV 2025 — Day 1

After registration, all teams assembled in the hall and interacted with each other, faculty coordinators, and volunteers. A positive and enthusiastic environment was observed among all participants.

The inaugural session began with a welcome address by Dr. S. D. Samantaray(Head of Computer Engineering Department), who briefed the participants about:

  • The objectives of UDBHAV 2025
  • Competition guidelines
  • Idea presentation rules
  • Evaluation criteria
  • Schedule for the next two days
Day 2 — Evaluation & Idea Presentations (14 November 2025)

The evaluation round was held in the Electronics and Communication Engineering Department’s Seminar Hall from 13:00 PM onward.

The invited judges for the Level-1 assessment were:

  • Dr. S. D. Samantaray
  • Dr. Sanjay Mathur
  • Dr. Sudha Arora

Each team presented their proposed AI-based solutions through PowerPoint presentations followed by a question–answer interaction with the judges.

A total of _10_ teams presented their ideas. Teams were evaluated based on:

  • Originality of Idea
  • Technical Feasibility
  • Relevance to AI Applications
  • Problem Understanding and Solution Design
  • Pitching Quality & Clarity of Presentation

The detail of final 10 teams participated for presentation and pitching are following:

Final 10 Teams (Presentation & Pitching)
Sl No.Team NameLeader Name
1.AdhirathRahul Bhatt
2.Code SentinalsDeepanshu Pargain
3.Fusion 4Akshita Verma
4.PionerraAditya Singh Bisht
5.Return_ZeroHarsh Kumar
6.Team DevlokAditiya Aswal
7.Ridgeline InnovatorsAditiya Kapruwan
8.Uttara AIAkash Arya
9.Voice2ActionOm Walia
10.CodeDivasAnushka Kannoja
UDBHAV 2025 — Day 2
UDBHAV 2025 — Day 2
UDBHAV 2025 — Day 2
UDBHAV 2025 — Day 2
UDBHAV 2025 — Day 2
UDBHAV 2025 — Day 2
Day 3 — Final Evaluation & Team Selection (15 November 2025)

The final evaluation was conducted to shortlist the best-performing team for participation in the Level–2 Round at UPES University, Dehradun.

Selected Team: Fusion 4  •  Team Leader: Akshita Verma

Team Members: Anshika Goyal, Kavya Upadhyay, Anurag Kushwaha

Idea Title: “Kaushal Setu”: AI-backed WhatsApp integrated chatbot for empowering rural livelihoods of Uttarakhand.

The selected team was formally announced and congratulated.

Level–2 Participation at UPES, Dehradun

The selected team departed from Pantnagar on 23 November 2025 and reached Dehradun on the same day. Students utilized the travel time for revision and practice of their pitch.

The Level–2 round commenced at 11:00 AM at UPES, Dehradun. Teams from various districts of Uttarakhand participated. The registration process of the event started there from 9:00 am for the teams and their respective SPOC.

  • Opening ceremony
  • Address by UKAIM officials
  • Technical briefings
  • Idea presentation sessions
  • Certificate Distribution for participation
UDBHAV 2025 — Level 2 (UPES Dehradun)
UDBHAV 2025 — Level 2 (UPES Dehradun)
UDBHAV 2025 — Level 2 (UPES Dehradun)
UDBHAV 2025 — Level 2 (UPES Dehradun)
UDBHAV 2025 — Level 2 (UPES Dehradun)
UDBHAV 2025 — Level 2 (UPES Dehradun)
Conclusion

The UDBHAV 2025 competition provided students with exposure to AI-based innovation, problem-solving methodologies, and state-level competitive platforms. The event strengthened students' presentation skills, teamwork, and analytical thinking abilities.

The Department acknowledges the support of the Uttarakhand AI Mission (UKAIM), faculty members, student coordinators, and all participating teams for making the event a successful academic endeavor.

Expert Talk on Industry 4.0 & Student's Career

Department of Computer Engineering organized an expert talk on Industry 4.0 & Student’s Career on 30.03.2024 by Mr. Rajesh Pahadi, Head of Operations, Innovations, iFactory & Digital Transformation projects at center for Industry 4.0 (SAMARTH Udyog Technology Forum) under the aegis of Ministry of Heavy Industries.

Expert talk on Industry 4.0
Expert talk on Industry 4.0
Expert talk on Industry 4.0
Expert talk on Industry 4.0
SENSEnuts Pro Lab Kit training organized in the Seminar of the Department of Computer Engineering on 24.03.23 and 25.03.23

A technical training on SENSEnuts Pro Lab Kit was organized in the Seminar Room of the Department of Computer Engineering on 24.03.23 and 25.03.23. Mr. Rajeshwar Singh and Mr. Kumar Aniket from Eigen Technologies Pvt. Ltd. provided the training on day 1 (24.03.23). In the First session Mr. Rajeshwar Singh delivered the lecture on Introduction of Wireless Sensor Networks (WSNs), Internet of Things (IoT), IEEE 802.15.4, Adhoc Networks, Routing Protocols and applications of WSNs. In the session 2, he concentrated upon topics including Introduction to SENSEnuts kit, Applications of SENSEnuts Platform, Directory Structure of SENSEnuts setup, Code Structure of SENSEnuts platform, Libraries and their functionality and Introduction to SENSEnuts GUI.

On day 2 (24.03.23) Mr. Kumar Aniket and Ms. Pragya Jaiswal from Eigen Technologies Pvt. Ltd. provided the training. In their sessions, they targeted practical oriented approach in which they demonstrated before the participants - the compiling of application codes, implementation of SENSEnuts Demos, LED Blinking example, reading sensor values, Wireless broadcast, connecting SENSEnuts platform to WiFi, controlling Radio Modules using WiFi, connecting SENSEnuts platform to cloud etc. The student participants also tried these experiments using SENSEnuts Pro Lab Kit modules.

Around 40 students and faculty members from Computer Engineering Department, E&C Department, EE Department and IT Department attended the training.

SENSEnuts Pro Lab Kit training
SENSEnuts training
SENSEnuts Pro Lab Kit training
SENSEnuts training
SENSEnuts Pro Lab Kit training
SENSEnuts training
SENSEnuts Pro Lab Kit training
SENSEnuts training
One Day Seminar on “Tech Talks: Scaling Education To Industries. How universities can be a breathing space for innovation”
Report On Webinar With Tripti Agarwal (Computer Engineering, Batch-1996)

On 23rd December 2022, members of Alumni Cell Computer Engineering Department, Pantnagar organized a webinar with Tripti Agarwal, an alumna of the Computer Engineering batch of 1996 under the guidence of Dr. S.D. Samantaray, Head of Department, Computer Engineering. Tripti Agarwal is the co-founder of Go Bud Go, an intelligence-driven learning platform. She also holds three patents at the United States Patent and Trademark Office (USPTO) and works for Cisco and Hughes Software Systems. The seminar was attended by students, faculty and staff members of the Computer Engineering Department.

The seminar began with an introduction to the Tripti Agarwal. She shared her journey from being a student to a successful entrepreneur. She discussed the latest trends in technology, such as artificial intelligence, machine learning, and the Internet of Things (IoT). She talked about how these technologies are revolutionizing the industry and creating new opportunities for innovation.

She also discussed the challenges faced by companies in adopting new technologies, such as lack of expertise, resistance to change, and high costs. She provided examples of companies that successfully adopted new technologies and reaped the benefits.

Tripti Agarwal then shared her experience of starting her own company and the challenges she faced. She talked about the importance of having a strong team, building a network, and being passionate about the idea. She emphasized that entrepreneurship is not easy and requires a lot of hard work, perseverance, and patience.

The seminar was interactive, and concluded with a Q&A session, where the attendees asked the alumna questions related to entrepreneurship, higher education, internships, placements and their experience as an alumni of our college. The questions ranged from the trending technologies in the job market to the best degree to pursue after graduation. The co-founder provided valuable insights and advice to the audience, inspiring them to pursue their dreams and make a positive impact on society.

In conclusion, the web seminar with Tripti Agarwal was a great success. It provided an opportunity for the participants to learn from an accomplished technologist and gain insights into the latest trends in technology. Tripti's knowledge, experience, and insights will undoubtedly inspire and motivate the participants to pursue their careers in technology.

Events Organised

On the occasion of Diamond jubilee Celebration (65th anniversary) of Govind Ballabh Pant University of Agriculture and Technology, the Computer Engineering Department organised two events namely The Gamers League and Technovation, a technical quiz and coding competition.

TECHNOVATION, a technical quiz and coding competition. The first round was the preliminary round where participants were tested based on their general aptitude, logical reasoning and basics of programming and the second round was a coding round.

GAMER'S LEAGUE, was a fun gaming event that consisted of 2 exciting games namely, Counter Strike- Global Offensive and Tekken 3. On 26th November at 3pm, the event was inaugurated by Dr. Devendra Kumar, Dr. P.S. Mehar, Dr Ajeet Kumar, Dr. Vinod Baliyaan, by cutting the ribbon, which filled the atmosphere with zest and enthusiasm.

These events were organized on two consecutive days, i.e. 26th and 27th of November 2022. Yash Rastogi,Computer Engineering(3rd year) secured first position, Rahul Kumaiya,Information technology (2nd year) was second while Yash Karakoti,Computer Engineering(3rd year) was third in Technovation.

The finalists of Tekken were Vikas Mehra and Divyanshu Semwal and they had a very intense match in which Vikas Mehra was the winner. The finals of Counter Strike Global Offensive was between the teams, One MS and Fast Fraggers in which One MS emerged out as the winner.

At the end of the event the Head of Department, Dr. S.D Samantharay, Staff Counsellor of Interface Dr. P.K Mishra presented the award to the winners.

Diamond Jubilee events — Technovation and Gamer's League
Events Organised
Diamond Jubilee events — Technovation and Gamer's League
Events Organised
Diamond Jubilee events — Technovation and Gamer's League
Events Organised
Diamond Jubilee events — Technovation and Gamer's League
Events Organised
Achievements

Student Achievements

Student performance in competitive examinations and placement records.

Students Achievements 2022-23
Performance of students in CAT
Sl.No.Student NameIDCAT Percentile
1.Suryansh Dev5491284
Performance of students in GATE
Sl.No.Student NameIDGAT Score
1.Ayush Pratap Singh56068634
2.Shashank Nautiyal54907634
3.Arjun Parasar56072617
4.Shivansh Budakoti54909615
5.Karisma Kuria56095607
6.Mohd. Rehan56116603
7.Naresh Chandra54900603
8.Akash Rawat54884540
9.Vikas Negi54914498
10.Ekansh Agarwal56113498
11.Rishabh Srivastava56167401
12.Shailesh Chauhan54906401
13.Garima Papnai56084397
14.Shivam Rana56092389
15.Hritik Gupta56067356
Student Placement
Sl.No.Student NameIDCompanyPackage(LPA)
1.Anjali Pandey54886TORC AI18 LPM
2.Milind Joshi54896TORC AI18 LPM
3.Shreya Jain54910M/s Reliance Retail5.00-6.00 LPM
4.Vijay Makholiya54913M/s Reliance Retail5.00-6.00 LPM
5.Isha Tomar54894M/s Indegene Ltd.5.50 LPM
6.Ritik Kushwaha54904M/s Indegene Ltd.5.50 LPM
7.Suryansh Dev54912M/s Indegene Ltd.5.50 LPM
8.Abhishek Chandra54881M/s Indegene Ltd.5.50 LPM
9.Akansha Rawat54883M/s Indegene Ltd.5.50 LPM
10.Pranav Dimri56063M/s Indegene Ltd.5.50 LPM
11.Deep Chandra Mathpal54890L&T6.00 LPM
12.Malay Bisht54895L&T6.00 LPM
13.Shruti Singh54911M/s Indegene Ltd.5.50 LPM
14.Gayatri Singh56384M/s Indegene Ltd.5.50 LPM
15.Darshan Prashad54889M/s Bharat Electronics LTd., A Govy. Of India(Ministry of Defence)11.00 LPM
16.Harshit Maini54891M/s Bharat Electronics LTd., A Govt. Of India(Ministry of Defence)11.00 LPM
17.Shailesh Chauhan54906M/s Bharat Electronics LTd., A Govt. Of India(Ministry of Defence)11.00 LPM
18.Vikas Negi54914M/s Bharat Electronics LTd., A Govt. Of India(Ministry of Defence)11.00 LPM
19.Naresh Chandra54900M/s Bharat Electronics LTd., A Govt. Of India(Ministry of Defence)11.00 LPM
Students Achievements 2021-22
Performance of students in CAT
Sl.No.Student NameIDCAT Percentile
1.Sanjana Goswami5352398.99
2.Aditya Kumar5349698.62
3.Aayush Tyagi5349598.61
4.Muskan Goel5351692.60
Performance of students in GATE
Sl.No.Student NameIDGAT Score
1.Lakshya53512802
2.Sachin Chandola53522613
3.Dhruv Kharkwal53509600
4.Simran Chandna53525420
Student Placement
Sl.No.Student NameIDPlacement
1.Muskan Kalra535171. BNY Mellon, India
2. Walmart Global Tech India
2.Jitendra Singh Rana53511Capgemini
3.Sanjana Goswami53523Larsen & Toubro
4.Mayank Joshi53514Larsen & Toubro
5.Dev Aditya Sati53505Infosys
6.Garima Raj53510Ericsson
7.Anajali Bisht54915Ericsson
8.Lakshya53512Industry Buying
9.Aayush Tyagi53495Wipro and TCS
10.Arushi53500TCS
11.Lokesh Negi53513Virtusa
12.Aditya Kumar53496OPTUM UnitedHealth Group
13.Devesh Singh Dashila53508OPTUM UnitedHealth Group
14.Simran Chandna53525OPTUM UnitedHealth Group, Indegene Pvt. ltd
15.Mohammad Aakif53515OPTUM UnitedHealth Group
16.Vipul Raj53527OPTUM UnitedHealth Group
17.Priyanka Kumari54918OPTUM UnitedHealth Group
College of Technology