Computer Science and Engineering

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Computer Science and Engineering
About Department:

The Computer Science and Engineering is more sought degree with a wide scope for employment, research and entrepreneurship. The Department of CSE understand the need of ever-changing technology that industry looks for trained professionals. CSE graduates have a wider scope to work in IT and IT enable service industry and sectors as Data Scientist, Data management expert, Data Security Engineers, Embedded Engineers, Mobile Application Developers, Gaming Technologist, Web Developers and software developers/quality Assurance/Testing. CUTMAP is one of the best engineering colleges in, Andhra Pradesh based on placement records, especially in Computer Science Engineering.

CSE department offers B. Tech in Computer Science and Engineering which follows Choice Based Curriculum Systems (CBCS) with a domain focused curriculum that leads to produce technology expert and get awarded certification from industry..

Domain:

  • Software Engineering
  • Computer Networking
  • Computer Science and Biosciences
  • Internet of Things & Cyber Security with Block Chain Technology
  • Data Science
  • Amazon Web Service
  • Artificial Intelligence and Machine Learning

The Curriculum of CSE is quite dynamic and it gets updated as and when required with industry support and feedback from Alumni. The department has collaboration with leading industry viz; AWS, IBM, Red Hat, UNITY and Dassault Systems in developing curriculum, course delivery and industry certification. The programme has a structure to undertake multiple projects enable the learner to gain programming skill and to learn & apply current technology.

The Department also offers M. Tech in Data Analytics that enhances the employability of a graduate for better career in industry and academics. It also offers Doctoral Programme (Ph. D.)  to work on real-time problem.

Vision:

To develop a spirit of inquiry, art of thinking, problem solving and the joy of programming while creating an environment of learning for students to grow into next generation nation builders who are responsible, fair, happy and inspired citizens.

 Mission:

  • Enable students to seek fulfilling careers in industry, research, government or as entrepreneurs.
  • Enable alumni to be respected in society for their positive energy, responsible attitude and expertise.
  • Empower faculty to have impact on society for their contributions and achievements.
  • Create teaching models and a learning culture which could be emulated by other institutions.

Program Educational Objectives:

  • PEO-1:Prepare students to build competency in current technology and its application to meet the industry need for skilled Engineer
  • PEO-2:Provide students with strong foundational concepts and also domain knowledge to pursue research to build solutions or systems of varying complexity to solve the problems identified
  •  PEO-3: Enable graduates to innovate, bring new idea and become an entrepreneur

Program Specific Outcomes: 

  • PSO-1.Graduate will be able work on high-end technology at IT Services industries.
  • PSO-2.Graduate can acquire industry certified level of competency and work on real time IT application projects viz; Infrastructure /Health/Agriculture/Security/Data Management etc.
  • PSO-3. Graduate can start its own IT service company to provide technical solution

Achievements:


AR-VR Students receiving 1st Runner-Up prize of Unity Gaming Hackathon, India 2018 from Honorable Chief Minister of Andhra Pradesh at Tech 2018, Vizag. This hackathon is organized by Unity, APITA, and UNESCO.
Centurion University is awarded as Center of Excellency in using Unity in diverse Engineering areas

Student project selected in IoT Challenge 2020 organized by Aakaar IIT Bombay and i3indyatechnologies.
Student project selected in Odisha Skill 2019

Academic Achievements:

  • Dr. Sujata Chakravarty also chaired a session in Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology (ODICON-2021), on 9th January 2021.
  • Prof. Raj Kumar Mohanta has AWS Certified as Cloud Practitioner in the month of February 2020. Link
  • Prof. Raj Kumar Mohanta has AWS Certified as Solutions Architect – Associate in the month of March 2020. Link
  • Prof. Raj Kumar Mohanta has AWS Certified as DevOps Engineer – Professional in the month of January 2021. Link
  • Prof. Suvendu Nayak has AWS Certified as Cloud Practitioner in the month of February 2020. Link

The final year students of Computer Science & Information Technology Department have published, Four papers under International Journal of Computing and Technology, in October 2014 Volume 1, Issue 9, ISSN: 2348-6090. The details of the publication are:

  • A New Approach of Data Aggregation in Wireless Sensor Networks – by D. Bhargav Reddy (110101CSR007 ) and Bitu Kumar (110101ITR011)
  • Improvising Security Issues Using Quantum Cryptography – by Abhishek Pradhan (110101CSR029 ) and Sushree Soujanya Padhi (110101CSR027)
  • Deep Web Technologies – by Sagar Kumar Choudhury (110101CSR023) and Rajesh Kumar Padhi (110101CSR006)
  • Integration of Quantum Cryptography – by Santosh Kumar Das (110101CSR033) and Hari Ram Swamy(110101CSR020)
    Web Address: https://ijcat.org/publications.html

Final year students attaining certification of completion of AWS – Technical Essentials under the Amazon Web Services training and certification program.

Machine Learning domain students have pitched a project, “Automated Elephant Detection System to Desist Uncertain Railway Accidents by Unifying AI and IoT “ which has been selected for the Finale in the National Level IoT Challenge , organized by Aakaar, IIT Mumbai in March 15 – 2020

Patents
  • Payal Bhadra, Avijit Balabantaray, S. Chakravarty, “Multi-Level Security and Detection System to Avert Elephant Accidents at Railway Tracks” Application number –202031035660, Publication date - 04/09/2020, Grant Date – 22nd March 2021, Patent number - 362391
  • S. Chakravarty, Smart Attendance and Body Temperature Monitoring System at Working Site, Application number – 202131001373, (Published 12th February 2021)
  • S. Chakravarty, System and Method for Health Care data Processing through IoT by using Block chain Technology, Application number – 202031048523, (Published 11th December 2020).
  • S. Chakravarty, Method and Automated Safety Equipment for quick Detection of Biological Events of Hospitalized Patients for COVID Thereof, Application number – 202031039046, (Published 16th October 2020)
  • S. Chakravarty, Automated Portable Diagnostic System and Method for the Patient in COVID Hospital, Application number – 202031035686 (Published 11th September 2020)
  • S. Chakravarty, “Machine Learning Based Computer implemented method for managing production from a Hydrocarbon Reservoir”, Application number – 201941040224, Publication date - 25/10/2019.
Research and Publications (Faculty)
  • Dr. Sujata Chakravarty, an improved harmony searched based extreme learning machine for illusion detection system, Materials Today: Proceedings,2021.
  • Dr. Sujata Chakravarty, A novel approach to CAD for the detection of small cell and non-small cell lung cancers            Materials, Materials Today: Proceedings, Elsevier, 2021.
  • Dr. Sujata Chakravarty, Reversible selective Embedding for DISCOM Image Security and Integrity using Visual Cryptography, International Journal of Electronic and Security and Digital Forensics, 2021.
  • S. Chakravarty, COVID-19 Outbreak in Orissa: MLR and H-SVR Based Modelling and Forecasting, International journal of Computer application in technology, 2021.
  • Mamata Garanayak, Agricultural Recommendation System for Crops using different machine learning regression methods, International journal of agricultural and environmental information system, 2021.
  • Suvendu Kumar Nayak, A novel secure framework for user data Leakage prevention using IOT-Fog enable smart home, 2021.
  • Suvendu Kumar Nayak, Recommendation System for music based on Content and Popularity, International Journal on Computer Application in Technology (IJCAT), 2021.
  • Nayak, S. K., & Panda, C. S. (2021). Dynamic task scheduling using nature inspired algorithms. J. Math. Comput. Sci., 11(1), 893-913..
  • Shreela Das, Adaptive difference expansion image stenography for increasing capacity, ICIC Express Letters (Accepted), 2021.
  • Shreela Das, High Capacity Multi-level Image Stenography Model Using Neural network, (To be Submitted), 2021.
  • Raj Kumar Mohanta, Discover insights and relationships in text using AMAZON comprehend, 2021.
  • Raj Kumar Mohanta, AMAZON KUBERNETES-An Open Source Container Management and Orchestration, 2021.
  • Shivani Nanda, Indoor Vehicle Navigation in Smart Parking using IoT Enabled WI-Fi Plat form,To be submitted, 2021.
  • Shivani Nanda, Precision Local Positioning in L-shaped Smart Parking Lots Using Wi-Fi Enabled IoT Platform, To be submitted, 2021.
Student Placement Highlights

Student Progression

Centurion University, Dept. of CSE, has a well-designed curriculum that is flexible enough to meet the diverse needs of the students. The industries driven pedagogy and the dynamic course structure along with the infrastructure available at Centurion University, Dept. of CSE, our students are ready to take on the challenges that emerge in the volatile industry. We aim at the all-round personality development of the student along with 100% placement support for all eligible students.
Placement Details for the academic year 2017-2021: DOC PDF
Placement Details for the academic year 2016-2020: DOC PDF
Placement Details for the academic year 2015-2019: DOC PDF
Placement Details for the academic year 2014-2018: DOC PDF

Placements

We have a track record of achieving nearly 100% placement for all eligible and registered students that have enrolled for placements. Our students are placed in the top Companies of national reputation. The total no. of placements 2016 - 2020 batch students is 183 out of 219 students appeared.

School Of Engineering And Technology (2016-20)
Sl.No Name of the Student Gender Branch Program Company CTC
1 GOURAV MOHAPATRA M CSE B.Tech BYJUS 900,000.00
2 ANANYA SEN F CSE B.Tech Dassault Systemes 550,000.00
3 ANKITA SINGH F CSE B.Tech Dassault Systemes 550,000.00
4 DEBIPRASAD SAHOO M CSE B.Tech Dassault Systemes 550,000.00
5 MANASHREE MANASWINEE F CSE B.Tech Dassault Systemes 550,000.00
6 MITALI MADHUSMITA DAS F CSE B.Tech Dassault Systemes 550,000.00
7 NIWASH KUMAR TIWARY M CSE B.Tech Dassault Systemes 550,000.00
8 PURNIMA LAL F CSE B.Tech Dassault Systemes 550,000.00
9 SHIBANI PANDA F CSE B.Tech Dassault Systemes 550,000.00
10 MEDHA PATEL F CSE B.Tech Lido Learning 550,000.00
11 SAI PRASAD PATTNAIK M CSE B.Tech Lido Learning 550,000.00
12 CHANDAN KESHRI M CSE B.Tech BYJUS 1,000,000.00
13 KAUSHIK DAS M CSE B.Tech BYJUS 1,000,000.00
14 ANANYA ANKITA CHHOTARAY F CSE B.Tech BYJUS 1,000,000.00
School Of Engineering And Technology (2017-21)
Sl.No Campus School Name Name of the Student Gender Branch Program Offers CTC
18 BBSR SoET Gayatri  Biswas F CTIS B.Tech JARO EDUCATION 600,000.00
23 BBSR SoET Preeti Chhanda Rout F CSE B.Tech Cognizant 450,000.00
38 BBSR SoET Aashirbad  Maharana M CSE B.Tech ACCENTURE 450,000.00
39 BBSR SoET Nitish Mahanand M CSE B.Tech ACCENTURE 450,000.00
40 BBSR SoET Puspa Karmakar F CSE B.Tech ACCENTURE 450,000.00
42 BBSR SoET Abdul  Raheman M CSE B.Tech Planet Spark 700,000.00
Research and Publications (Student)
  • Mamata Gadanayak, Gautam Sahoo, Chakravarty (2020), Indian COVID - 19 time series prediction using Facebook prophet model, International Journal of Computer Application in Technology, Inderscience, Accepted
  • Avijit Balabantaray, Payal Bhadra, Rakesh Kumar Ray, Sujata Chakravarty (2020), Genetic Algorithm based Feature Selection and Random Forest Model for Rice Yield Prediction, International Journal of Modern Agriculture, Volume 9, No.4, 2020, pp 182-196
  • Rakesh Kumar Ray, Manjeet Bhardwaj, Rohit Kumar, Sujata Chakravarty, Support Vector Machine Based Classification for Tomato Leaves Diseases, (2020), International Journal of Modern Agriculture, Volume 9, No.4, 2020, pp 210-215
  • Rupali Jena, Sujata Chakravarty, (2020), Flower Identification & Classification Based on Efficient Deep Learning Technique, International Journal of Modern Agriculture, Volume 9, No.3, 2020, pp 1045-1057
  • Prashant Kumar, Tamal Datta, Sujata Chakravarty, (2020), Fruit Detection using Convolution Neural Network, International Journal of Modern Agriculture, Volume 9, No.3, 2020, pp 1069-1075.
  • Gopal Ghosh, Sujata Chakravarty, (2020), Grapes Leaf Disease Detection Using Convolutional Neural Network, International Journal of Modern Agriculture, Volume 9, No.3, 2020, pp 1058-1068
  • Prangyan Paramita Das, Sujata Chakravarty, (2020), Breast Cancer Classification using Deep Learning, Communicated
  • Manoj Kumar Behera, Rutuparnna Mishra, Anshit Ransingh, Sujata Chakravarty(2020), Prediction of different stages in Diabetic retinopathy from retinal fundus images using radial basis function based SVM, Indian Journal of Science and Technology, 13(20): 2030-2040. WoS
  • Manoj Kumar Behera, Rutuparnna Mishra, Anshit Ransingh, Chakravarty (2020), Segmentation of Hard Exudates in Retinal Fundus Images using Deep Convolutional Neural Network, International Journal of Advanced Science and Technology, Volume. 29, No. 6, pp-5192-5199. Scopus
  • Ankita Singh, Jatindra Kumar Dash, Biswajit Behura, Chakravarty (2020) Teaching Learning Based Optimized Support Vector Regression Model for Prediction of Indian Stock Market, International Journal of Advanced Science and Technology, Vol. 29, No. 5, (2020), pp. 3002 – 3015
  • Purnima Lal, Puja Kumari, Soumya Samar Brahma, Chakravarty (2020), Detecting Malicious URLs Using Machine Learning Techniques, Indian Journal of Natural Sciences, Vol 10, Issue 60, pp 19898- 19903.
  • Payal Bhadra, Avijit Balabantaray, S. Chakravarty (2020) Automated Elephant Detection System to desist uncertain Railway accidents by unifying AI and IoT, Indian Journal of Natural Sciences, Vol 10, Issue 60, pp 19917- 19929.
  • Chinmayee Chaini, Chakravarty (2020), ANT Colony Optimization based Artificial Neural Network for Classification of Breast Cancer Dataset Indian Journal of Natural Sciences, Vol 10, Issue 60, pp 19954- 19963
  • Anshuman Khuntia, Chinmayee Chaini, Chakravarty (2020), Anomaly Based Intrusion Detection System Using Machine Learning Techniques Indian Journal of Natural Sciences, Vol 10, Issue 60, pp 19981- 19990
  • Shanti Darshan Ray, Satya Naryan Pati, Prashant Kumar, Chakravarty (2020), Prediction of Glaucoma from Retinal Fundus Images using Support Vector Machine Indian Journal of Natural Sciences Vol 10, Issue 60, pp 20081-20089
  • Goutam Sahu, Manoj Kumar Behera, Rakesh Ray, Chakravarty (2020), Random Forest Frame Work for Crop Yield Prediction Indian Journal of Natural Sciences, Vol 10, Issue 60, pp 20036-20043
  • Rohit Kumar, Manjeet Bhardwaj, Manoj Kumar Behera, Debases Das, Chakravarty (2020), Classification of Tomato Leaf Diseases using Image Processing and Machine Indian Journal of Natural Sciences, Vol 10, Issue 60, pp 20018-20024
  • Swati Sucharita Barik, Chakravarty (2020) Rainfall Prediction using Computational Intelligence Techniques: A Review Vol 10, Issue 60, pp 25596- 25600
  • Mrutyunjoy Murmu, Aashirbad Maharan, Manoj Kumar Behera and S. Chakravarty (2020) Prediction of Cataract from Retinal Fundus Images using Gradient Boosting Algorithm Indian Journal of Natural Sciences, Vol 10, Issue 60, pp 23908- 23912
  • Satya Ranjan Prusty, Debasish Das and S. Chakravarty (2020), Air Quality Prediction by Machine Learning Technique Indian Journal of Natural Sciences,Vol 10, Issue 60, pp 23918- 23922
  • Manoj Kumar Behera and S. Chakravarty (2020), An Image based Glaucoma Detection Technique using Support Vector Machine Indian Journal of Natural Sciences, Vol 10, Issue 60, pp 23928 – 23933
  • Manoj Kumar Behera and S. Chakravarty (2020), An Image based Glaucoma Detection Technique using Support Vector Machine Indian Journal of Natural Sciences, Vol 10, Issue 60, pp 23928 – 23933
  • Tamal Datta, Manoj Kumar Behera and S. Chakravarty (2020), Customer Churn Prediction in Banking using Naïve-Bayes Algorithm, Indian Journal of Natural Sciences,Vol 10, Issue 60, 23952-23956
  • Swagat Choudhury, Jayadev Das, Debasish Das and S. Chakravarty, (2020) Drowsiness Detection System by using Viola Jones and Haar Cascade Algorithm, Indian Journal of Natural Sciences,Vol 10, Issue 60 23965-23970
  • Mamata Garanayak, Goutam Sahu and S. Chakravarty (2020), Prediction of Breast Cancer using Machine Learning Techniques, Indian Journal of Natural Sciences, Vol 10, Issue 60,pp 23975-23982
  • Stitiprajna Panda , Soumya samar Brahma, Poulomi Maji1 and S. Chakravarty (2020), Odia Handwriting Recognition: Way to find the Identity Indian Journal of Natural Sciences,Vol 10, Issue 60, pp 23988- 23996
  • Satabdi Swain, Chinmayee Chaini and S. Chakravarty (2020), Short Term Electricity Price Forecasting For Deregulated Energy Market, Indian Journal of Natural Sciences, Vol 10, Issue 60, pp 24012- 24019
  • Nitish Mahanand, Nitesh Kumar , Manoj Kumar Behera and S. Chakravarty (2020), Soil Health Monitoring using Machine Learning Techniques, Indian Journal of Natural Sciences,Vol 10, Issue 60, pp 24020- 24024
  • Malini Patel , Simran Subudhi , Debasish Das and S. Chakravarty (2020), Twitter Sentiment Analysis using Computational Intelligence Techniques, Indian Journal of Natural Sciences,Vol 10, Issue 60, pp 24025- 24032
  • Rutuparnna Mishra, Anshit Ransingh, Manoj Kumar Behera and S. Chakravarty (2020), Face Recognition Based Smart Door Lock Using Raspberry Pi, Indian Journal of Natural Sciences,Vol 10, Issue 60, pp 24506-24512
Seminars & Workshops:
    1. One day FDP on “ Good Scientific Paper Writing” held on 12.10.2019 at CIT campus which hosted special contribution from Dr. Sujata Chakravarty ( HoD CSE) was attended by the department faculty.
    2. Dr. Sujata Chakravarty was an invited speaker for seminar conducted at Utkal University Bhubaneswar on 30th October and 1st November on “Research Methodology and Thesis Writing”.
    3. A one-day workshop on Introduction to CLOUD Computing and its application for 1st year CSE students was organized by Rajkumar Mohanta on 1st Feb 2019.
    4. A Summer Immersion Program was organized for the students exposing them to training on soft skills like mock interviews, resume building, resume formatting, group discussion etc taken by the external trainer Mr. Yogendra Singh.
    5. A one-week faculty development program was attended by Shivani Nanda from 27th May to 1st June on “Problem Solving and Programming in Python” organized by Computer Science and Engineering department JNTUA, College of Engineering( Autonomous ), Ananthapuramu.
    6. As a short-term capsule industry preparative Technical Training classes were imparted to students on C by Industry Experts Mr. Chakraborty  and Mr. Chatterjee.
    7. The department arranged two days of AWS technical essential training for the students ( both 5th and 7th semester) The training was attended by 109(Day 1) and students attributing to the three different campuses of the University.
    8. A workshop was arranged by the department on Web Services Using Advanced JAVA delivered by the Industry Consultant Mr. P.K.Dikshit.
    9. One of our student Avijit Balabantaray from the fina lyear now currently in the 7th semester participated in the MOST GASE ( Global Affairs and Science Engagement)  Summer Program in partial fulfilment of his Summer Internship at National Taiwan Normal University( NTNU ) to work on the eye function of  a robot using AI and robotics with processing done through ROSS Operating system.
    10. As an initiative of Industry exposure Induction programme the third year students were introduced to Monoplane and Drone making.
    11. Dr. Sujata Chakravarty attended meeting on 13th July 2019, IEEE Bhubaneswar Sub-Section Executive Committee meeting at ITR Chandipur.
    12. Dr. Sujata Chakravarty gave a talk on “Application of Machine Learning”, Utkal University Vanivihar, 25th January 2020.
    13. Dr. Sujata Chakravarty chairing a session in International Conference on Intelligent Computing and Advances in Communication ICAC-2019 on 16th November 2019.
    14. The first year CSE students of the batch 2019-2023 participated in a skiit on the occasion of Teacher’s day celebration in the Jatni Campus.
    15. A 10days workshop on “Image Processing and Machine Learning” was organized from 11th to 20th February 2020 at CUTM, Bhubaneswar campus. 70 faculty members and 2 faculties of different campuses of University were participated. Resource Person: Dr. Sujata Chakravarty, Manoj Ku Behera, Debasish Das, Department of Computer science & engg., CUTM.
    16. Dr. Sujata Chakravarty ( HoD CSE) attended by the department faculty. Dr. Sujata Chakravarty on 8th February 2020, IEEE Bhubaneswar Sub-Section AGM meeting at Silicon

 

Projects

The CBCS curriculum provides opportunity for students to undertake multiple minor projects and a Domain project. All projects follow GATE process from Idea to testing and implementation.

Smart Door Lock and Attendance System Based on Face Recognition
Automated Elephant Detection System to desist uncertain Railway accidents by unifying AI and IoT

Machine Learning Based Eye Health Care System
Title- Money instant Transfer (MINT) Project

Project on designing and hosting of a travel website using AWS Service
CT-Scan Visualization using ARVR

Designing of Various Machine Parts using ARVR
Virtual_Vernier Calliper using ARVR

Research Center

The department has created multidisciplinary research centres for capacity building and conduct research in in real-time problem and finding solution in collaboration with Industry and Research Organisations. It also creates value based education for students to pursue industry oriented skill and Domain courses.

AI & ROBOTICS

Focus Area:

  • Hyperspectral Image Processing
  • Plant Disease detection using Image segmentation based on Convolutional neural network
  • NLP on Odia Corpora (iNLTK and indic NLP Library)

FinTech

Focus Area:

  • Developing Software Applications for Financial Institutions/Groups.

Edutech & Skilltech

Focus Area:

  • LMS – Learning Management System
  • ERP
  • AR-VR Application Development
  • Skill-Tech Content Development
  • Web and Digital Publishing

 

Infrastructure:
Programming Lab Programming Lab Machine Learning Lab
Cloud Technology Software Technology Lab ARVR Lab

Programme

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