Computer Science and Engineering
KOMMURI PRATAP REDDY INSTITUTE OF TECHNOLOGY
Department of Computer Science and Engineering
The Department of Computer Science And Engineering was established in the year 2008. Experienced professors guide the department aiming at educating and training students with sound knowledge and awareness in the fields of Computers, Communication, and Information Technology.
The major goal of the Department of Computer Science And Engineering is to produce highly knowledgeable, competent and resourceful young engineers who can perform well in a wide variety of job profiles. To achieve this, curriculum provides a strong foundation in both the analytic, computing and technological aspects of Computer Science Engineering.
It also provides ample opportunities to students to work on mini-projects, develop communication skills, explore internship opportunities in industry and world-class universities and take part in national and international design contests.
The Department of CSE also organizes Workshops, Expert Talks, Project Expo, Poster Presentation competitions for the students. The department has established the Remote Centre in Supported with IIT Bombay.
Core Companies offering Computer Science And Engineering IMCS group , Madhees Techno Pvt Ltd, Proto Tech Solutions, SIG, ERT Technologies, Multiplier, Stealth Technologies, BYJU’s, Aliens Developers Pvt Ltd.
Vision of the Department
To produce excellent standard, quality education of professionals by imparting cognitive learning environment, ethical, research and industrial orientation to become pioneering Data Scientists
Mission of the Department
- Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge by using structured and unstructured data.
- Data science which depend on the application. More recently, full-featured, end-to-end platforms have been developed and heavily used for data science and machine learning.
- To facilitate the programming skills by imparting the qualitative technicality in theoretical and pragmatically approaches.
- Enabling students to get expertise in critical skills with data science education and facilitate socially responsive research and innovation.
Program Outcomes (POs)
Engineering Graduates will be able to:
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Understand the impact of the professional engineering solutions in societal and environmental context, and demonstrate the knowledge of, and need for sustainable development.
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Communicate effectively on complex engineering activities with the engineering community and with society at large, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
Recognize the need for, and have the preparation and able to engage in independent and life-long learning in the broadest context of technological change.
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
Program Specific Outcomes (PSO’s)
- To prepare the students ready for industry usage by providing required training in cutting edge technologies
- An Ability to use the core concepts of computing and optimization techniques to develop more efficient and effective computing mechanisms.
- An Ability to use inculcate professional, social, ethical, effective communication skills and entrepreneurial practice among their holistic growth.
Program Educational Objectives
- Data Science are becoming the hot topics of the IT industry as the entire world is relying on data.
- The data-driven operations adopted by almost every industry will increase the scopes of well-trained professionals.
- Data Science platform that provides open-source software and computing resources which Data Scientists can use and remain updated with the latest developments in the field.
Course Outcomes
Course Outcomes are statements that describe significant and essential learning that the Students have achieved, and can reliably demonstrate at the end of a course. A Course outcome makes clear the intended result of the learning rather than what form the instruction will take. A good course outcome states what a student will know or be able to do at the end of instruction. It focuses on student performance. Other synonyms are learning outcome or Course learning outcome.
The advantages of CourseOutcomes:
Benefits for the course and module designer
In terms of course and module design, the use of explicit course outcome statements can help ensure consistency of delivery across modules or programs. They can aid curriculum design by clarifying areas of overlap between existing modules, program and qualifications.
Benefits for Students and employers
Students benefit from a comprehensive set of statements of exactly what they will be able to achieve after successful study. Course outcomes provide Students with clear information that can help them with their choice of module/unit/program/qualification to study and can lead to more effective learning.
Benefits for quality assurance and standards
In terms of course and module design, the use of explicit course outcome statements can help ensure consistency of delivery across modules or programs. They can aid curriculum design by clarifying areas of overlap between existing modules, program and qualifications.
Benefits for quality assurance and standards Benefits for national and international educational transparency
Internationally, Course outcomes contribute to the mobility of students by facilitating the recognition of their qualifications and improving the transparency of qualifications and thus simplifying credit transfer.
Faculty
| S.No | Name of the Staff | Designation |
| 1 | Dr. VEENA CHINTA | Professor |
| 2 | Dr. SANKAR GANESH | Professor |
| 3 | ASHOK KUMAR G | Assistant Professor |
| 4 | PANJALA VIJAY GOUD | Assistant Professor |
| 5 | SOUJANYA PERALA | Assistant Professor |
| 6 | PRAVEEN MUTHAMALA | Assistant Professor |
| 7 | KOKA PRASHANTH | Assistant Professor |
| 8 | NITHIN RAJPUT | Assistant Professor |
| 9 | KATRAVATH JAYASRI | Assistant Professor |
| 10 | GANGAM DIVYA | Assistant Professor |
| 11 | KOPPULA RAMU VENKATA | Assistant Professor |
| 12 | KARNATI SWATHI | Assistant Professor |
| 13 | BADAMONI SRINAIAH | Assistant Professor |
| 14 | AMBATI SAIKUMAR | Assistant Professor |
| 15 | MANIKARNIKA POLICE | Assistant Professor |
| 16 | AKKENAPALLY SHIRISHA | Assistant Professor |
| 17 | MANDULA NAGA KOTI BHARATH KUMAR | Assistant Professor |
| 18 | BABU NAIK BANOTH | Assistant Professor |
| 19 | MUKKONDA APARNA | Assistant Professor |
| 20 | CHINTAL KEERTHI CHANDRA | Assistant Professor |
| 21 | PRIYANKA CHIPPA | Assistant Professor |
| 22 | AMBIKA BODIGE | Assistant Professor |
| 23 | CHINNASAMY VIJAYARAJ | Assistant Professor |
| 24 | DEEPIKA TALLOJU | Assistant Professor |
| 25 | SRAVANTHI EEGA | Assistant Professor |
| 26 | VIJAYA LODE | Assistant Professor |
| 27 | NIRANJANI REDDY | Assistant Professor |
| 28 | SPANDANA KOORA | Assistant Professor |
| 29 | HEMALATHA YALAMANCHI | Assistant Professor |
| 30 | A ASHARANI | Assistant Professor |
| 31 | R JANAKIRAM | Assistant Professor |
Academic Schedule
Laboratories Department of CSE
| ACADEMIC LABS | COMPUTING FACILITIES WITHIN THE DEPARTMENT | ||||||
|---|---|---|---|---|---|---|---|
| Name of Academic Lab | Room No | Major Equipment | No.of Systems | Printers | Other if any | ||
| 1 | Python Programming lab | B203/A | computer systems | 36 | 1 | UPS,LinuxServer,Internet facility | |
| 2 | Database Lab | B203/B | computer systems | 36 | 1 | Projector, Internet facility | |
| 3 | Data Structures Lab | B204 | computer systems | 36 | 1 | Internet facility | |
| 4 | Java Programming Lab | B306 | computer systems | 36 | 1 | Internet facility | |
| 5 | IT Workshop Lab | B308 | computer systems | 36 | 1 | Internet facility | |
| 6 | Operating Systems Lab | B309 | computer systems | 36 | 1 | Internet facility | |
| 7 | Operating Systems Lab | B203/C | computer systems | 36 | 1 | Internet facility | |
| 8 | Projects Lab | A002 | computer systems | 36 | 1 | Internet facility | |
LIST OF PROJECT LAB
| Sno | Name of the Lab | Room No | No of Projects Done | |
|---|---|---|---|---|
| Major | Mini | |||
| 1 | Project Lab | A002 | 09 | 09 |
Expert Talks/ Guest Lectures/ Workshops
| Academic year | Number of Events Organized |
|---|---|
| 2018-2019 | 8 |
| 2017-2018 | 9 |
| 2016-2017 | 12 |
| 2015-2016 | 6 |
Industrial visit
| S.no | Name of the industry visited | Date of Visit |
| 1 | L&T Metro | 23-01-2019 |
| 2 | BSNL Regional Telecom Training Centre | 23-07-2018 |
| 3 | BSNL-Regional Telecom Training Centre | 23-1-2018 |
| 4 | Doordarshan Kendra | 11-08-2017 |
| 5 | Doordarshan Kendra, Ramanthapur | 06-09-2016 |
| 6 | T-Hub | 18-02-2017 |
Internships
| Academic Year:2017-18 | |||||
|---|---|---|---|---|---|
| Sno | Roll No | Name of the Student | Name of the Industry | Area | Tenure |
| 1 | 15RA1A0517 | M. Srikanth | The National Small Industries Corporation Ltd. | Tourism Management System | 28-5-2018 To 24-6-2018 |
| 2 | 15RA1A0524 | P. SaiKiran | Dynamic and Public Auditing with Fair Arbitration for Cloud Data | ||
| 3 | 15RA1A0526 | P. Dwarakanath | Sphere Soft Solution | Java | 25-5-2018 |
| 4 | 15RA1A0518 | M.Pavani | The National Small Industries Corporation Ltd. | Dynamic and Public Auditing with FairArbitration for Cloud Data | 28-5-2018 To 24-6-2018 |
| 5 | 15RA1A0518 | Ch. Rajesh | Cloud Computing | 23-5-2018 19-6-2018 | |
| 6 | 15RA1A0526 | P. Meghana | |||
| 7 | 15RA1A0528 | S. SaiShravya | Online Modelling of Proactive Moderation System for Auction Fraud Detection | ||
| 8 | 15RA1A0516 | K. Anudeep | The National Small Industries Corporation Ltd. | Tourism Management System | 14-5-2018 To 10-6-2018 |
| 9 | 15RA1A0504 | Ch. Samhith | 23-5-2018 To 19-6-2018 | ||
| 10 | 15RA1A0502 | A.Suchitra | The National Small Industries Corporation Ltd. | Privacy-Preserving Selective Aggregation of online user Behaviour Data | 23-5-2018 To 19-6-2018 |
| Academic Year:2016-17 | |||||
|---|---|---|---|---|---|
| Sno | Roll No | Name of the Student | Name of the Industry | Area | Tenure |
| 1 | 13RA1A0528 | R. Mahesgh | The National Small Industries Corporation Ltd. | Dependability and Security, Specification | 15-5-2017 |
| 2 | 13RA1A0517 | G. Mamatha | |||
| 3 | 13RA1A0509 | B. Anil | Emerging Trends in Software Engineering | ||
| 4 | 13RA1A0501 | A. Amulya | |||
Industry Sponsored Labs
The department of Computer Science and Engineering keep efforts in interacting with Industry for the development of the students as well as to strengthen the department. In this connection Cypress semiconductor has established a laboratory under the university partnership program with the facilities like Cypress Internet of Things Education Kit which works in the platform Cypress PSoC4 BLE board based on ARM Cortex-M0.
Shreejicharan Electronics is also a company which established an IoT laboratory at our institute campus with the facilities like Interfacing Board –UNO & Node MCU, Aurdino Uno Board Kits, Node MCU Kits.
Sponsored Research
| Sno | Name of the Faculty | Academic year | Project Title | Approximate. Cost | Sponsored Company | Status | Duration |
| 1 | Dr. Dilip Kumar Mahapatra | 2015-16 | Novel Recommender system model for online social voting using matrix factorization and nearest neighbor approach(Data Mining) | 4.55 Lakhs | SRK Travels | Completed | 1 Year |
| Dr.K. Jagan Mohan | |||||||
| 2 | Dr. SaratChadraNayak | 2016-17 | A supervised joint topic modeling for sentiment analysis in one go(Data Mining) | 5.75 Lakhs | SAK Informatics | Completed | 2 Years |
| A.Venugopal | |||||||
| 3 | Dr.D..Eswar | 2017-18 | Archiving Efficient and secure data acquisition for cloud supported internet of things insmart grid . | 7.00 Lakhs | SAK Informatics | Completed | 2 Years |
| R.KrishnaNayak | |||||||
| 4 | Dr. Marlene Grace Verghese | 2017-18 | A network based spam detection framework for reviews in online social media(Inform ationforensics and security) | 6.10 Lakhs | HACKBOATS | In progress | 3 Years |
| K. Suparna | |||||||
| 5 | Dr. D.Eshwar | 2018-19 | Vehicle detection and classification | 7.25 Lakhs | SAK INFORMATICS | In progress | 3 Years |
| Dr. Marlene Grace Verghese | |||||||
| 6 | Dr. D.Eshwar | 2018-19 | Vehicle detection and classification | 7.75 Lakhs | SAK INFORMATICS | In progress | 3 Years |
| Dr. Marlene Grace Verghese |
Consultancy Projects : A.Y:2015-16:
| Sno | Name of the Faculty | Academic year | Project Title | Approximate. Cost | Sponsored Company | Status | Duration |
| 1 | Dr.Dileep Kumar | 2015-16 | Content Development | 4 Lakhs | HEBEON TECHNOLOGIES | Completed | 1 Year |
| Dr.Dileep Kumar |
2016-17:
| Sno | Name of the Faculty | Academic year | Project Title | Approximate. Cost | Sponsored Company | Status | Duration |
| 1 | Dr.k.kiran Kumar | 2016-17 | Design and Develop of websites, office automation | 2.9 Lakhs | SRS Technologies | Completed | 1 Year |
| Dr.k.kiran Kumarr | |||||||
| 2 | K.Suparna | Content Development | 5 Lakhs | Completed | Completed | 2 Years | |
| K.Suparna |
A Y: 2017-18
| Sno | Name of the Faculty | Academic year | Project Title | Approximate. Cost | Sponsored Company | Status | Duration |
| 1 | Dr.Sarath Chandra Nayak | 2017-18 | Content Development | 5.4 Lakhs | HEBEON Technologies | Completed | 2 Years |
| K.BalaThipuraSundari | |||||||
| 2 | A.Prakash | office automation and front office automation | 4 Lakhs | MahadweeepPharma | Completed | 2 Years | |
| R.Krishnanayak | |||||||
| 3 | A.Prakash | Bus Tracker application | 6.7 Lakhs | SRK Travels | On Going | 3 Years | |
| B.Ramesh |
2018-19:
| Sno | Name of the Faculty | Academic year | Project Title | Approximate. Cost | Sponsored Company | Status | Duration |
| 1 | Dr.Marlene Grace | 2018-19 | Third Party Project Development | 3.85 Lakhs | Code Kindle | On Going | 2 Years |
| G.Saritha | |||||||
| 2 | G.Saritha | Content Development | 6.95 Lakhs | Learn IT Hub | On Going | 3 Years | |
| A.Venugopal | |||||||
| 3 | K.BalaThripurasundari | Driver Safety Index Using Integrated Computing system | 8 Lakhs | SRK Travels | On Going | 3 Years | |
| K.Suparna |
Product Development:
| Sno | Faculty Name | Tittle | Student 1 | Student 2 | Student 3 | Student 4 | |
| 1 | 2015-2016 | Dr.Dilip Kumar Mahapatra | Dr.Dilip Kumar Mahapatra | Sneha ReddySneha Reddy | AnkitRai | Gayatri | Rahul Singh |
| 2 | 2016-2017 | K.Suparna | Rock paper scissors | K.BindhuPriya | M.Leela | Shaik AbdulSahilMajeed | Manoj Kumar |
| 3 | 2016-2017 | Dr.K.Kiran Kumar | Space Fighter | V. Anusha Reddy | Y. Shravya | B.Anil | B.Sravan |
| 4 | 2017-2018 | Dr.K.Kiran Kumar | E-Commerce Application | VikramPreek | Nawaz | Shankar | Pooja Reddy |
| 5 | 2017-2018 | G.Saritha | Space Fighter | CH.Rajesh | NishaKumari | G.Bhanava | Dwarakanath |
| 6 | 2018-2019 | Dr.D.Eshwar | Network pen testing project | Harivamshi | Lakshman | Kavitha | Anikrutha |
| 7 | 2018-2019 | Dr.D.Marlene Grace | Block chain real time voting | VikramPareek | Shanka | Swetha | Pranavi |
| 8 | 2018-2019 | Dr.D.Eshwar | A distributed publisher driven secure data sharing for information | Sushmitha | K.BindhuPriya | Ch.Samhith | Ch.Samhith |
Publications
1. Dr. D. Eshwar, DrMerlene Grace Varghese and B.Ramesh , A System Interpreting and Supervising Database Access for Detection of Anomaly Application, Universal Review, Volume VIII, Issue IV, APRIL/2019, PP- 1583-1588, ISSN NO : 2277-2723.
2. R. Krishna Nayak, A. Hareesha and A. ShirishContent Based Image Retrieval System Using Integrated FeatureExtraction Approach, Universal Review, Volume VIII, Issue III, MARCH/2019, PP- 920-925,ISSN NO : 2277-2723.
3. E. Raghu, A. Shirisha, A. Prakash, Knowledge based Propagation for Query Facets, International Journal of Research, Volume 7, Issue IX, September/2018, PP-1396-1401,ISSN NO: 2236-6124.
4. K. Suparna, B. Ramesh, G.Divya, An Efficient Particle Swarm Optimization for Positioning ofMultiple Sinks in WSNs, International Journal of Research, Volume 7, Issue X, October/2018, PP-1363-1368, ISSN NO:2236-6124.
5. Dr. D. Eshawr , P. Manikarnika , DrMerlene Grace Varghese, Segmentation based Biomedical Image Retrieval with Low-level Feature Extraction, International Journal of Management, Technology And Engineering, Volume VIII, Issue VII, JULY/2018, PP-2248-2252, ISSN NO : 2249-7455.
6. BalaThripuraSundari, R. Krishna Nayak, K. Suparna, A Novel Hybrid Model for Stress Detection with Convolutional Neural Networks, International Journal of Management, Technology And Engineering, Volume VIII, Issue VII, JULY/2018, PP-2253-2257,ISSN NO : 2249-7455.
7. Dr. Marlene Grace Varghese, G. Divya , E. Raghu, Remote Data Unity Checking with Seclusion Enhancement for Stored Cloud Data, International Journal of Research, Volume VIII, Issue II, February/2019, PP-1731-1737, ISSN NO:2236-6124.
8. K. Suparna, K. BalaThripuraSundari , K. VenataRamu, A New Thresholding based Approach for Wormhole Attack Prevention in MANETs,International Journal of Research, Volume 7, Issue 11, November/2018, PP-2231-2236,ISSN NO: 2236-6124.
9. Dr. D. Eshwar, R. Krishna Nayak,K. Suparna, Profitable Routing for Packet Investigation and Recognize Method in Wireless Sensor Networks, Universal Review, Volume VII, Issue VI, JUNE/2018, PP- 203-209, ISSN NO : 2277-2723.
10. K. BalaThripuraSundari , K. Suparna , A. Shirisha , A Composition of Process Genetic to Cloud Service Reporter , Universal Review , Volume VII, Issue VI, JUNE/2018 ,PP-210-217 , ISSN NO : 2277-2723 .
11. P. Manikarnika , E. Raghu , B. Ramesh, Improving Search Technique for Searching Data in the Encrypted Cloud Storage , International Journal of Management, Technology And Engineering , Volume IX, Issue I, JANUARY/2019 , PP- 4053-4058 , ISSN NO : 2249-7455 .
12. Dr. D. Eshawr , B. Ramesh , K. BalaThripuraSundari ,A Power Efficient Network Layer Routing Protocol Using Cross Layer Design with Ant Colony Optimization , International Journal of Management, Technology And Engineering ,Volume VIII, Issue XII, DECEMBER/2018 ,PP- 6351-6356 ,ISSN NO : 2249-7455.
13. K. Venkataramu , E. Raghu , A. Hareesha ,An Effective Processing of Query with Predictive Energy Saving Online Scheduling Approach ,International Journal of Management, Technology And Engineering , Volume IX, Issue V, MAY/2019 , PP- 6525-6531,ISSN NO : 2249-7455.
14. Dr. Marlene Grace Varghese , R. Krishna Naik , A. VenuGopal ,A Novel and Efficient Secure Scheme for Cloud Storage Data with Key Vulnerability ,Universal Review ,PP- 662-668 , ISSN NO : 2277-2723
1. Dr.Sarat Chandra Nayak, Artificial Chemical Functional Link Network for Prediction of Stock Market Index”, Evolving Systems,Springer,ISSN 1868-6478.
2. K. BalaThripuraSundari , A. Venugopal , B. Ramesh,Compatibility Encryption Scheme with Function Key Revocation Technique in Cloud Computing ,International Journal of Advanced in Management, Technology and Engineering,Volume 7, Issue 8, AUGUST/2017,PP- 64-68,ISSN NO : 2249-7455 .
3. B. Saida , M. Praveen, K. Suparna,A Robust Detection of Packet Dropping Attacks in Mobile Ad-hoc Networks,International Journal of Research,Volume 6, Issue 7, July /2017,PP- 62-69,ISSN NO:2236-6124.
4. P. Janaki , P. Manikarnika, K. BalaThipuraSundari,Finding Node Collapse in Mobile Wireless Networks: A Feasibility Model,Universal Review,Volume VI, Issue VIII, AUGUST/2017,PP- 68-71,ISSN NO : 2277-2723.
5. K. Venaktaramu, A. Hareesha , Dr. Sarat Chandra Nayak,Load Balancing and Efficient Cloud Analysis Service in Social Networks,Universal Review,Volume VI, Issue VI, JUNE/2017,PP- 83-88,ISSN NO : 2277-2723.
6. K. Venkatramu, Prof. K. Jagan Mohan, A. Venugopal,A Novel Heterogeneous Framework for Public Cloud Storage,International Journal of Advanced in Management, Technology and Engineering Sciences,Volume 7, Issue 5, MAY/2017,PP- 74-78,ISSN NO : 2249-7455.
7. R. Krishna Nayak , K. BalaThripuraSundari , G. Divya,Assured Data in Cloud using Cryptographic Methods,Universal Review,Volume VI, Issue VI, JUNE/2017,PP- 89-92,ISSN NO : 2277-2723.
8. T. Aswani , P. Janaki , B. Ramesh,A Robust and Secure Multi-keyword Ranked Search over Encrypted Cloud Data,International Journal of Research,Volume 6, Issue XII, December/2017,PP- 95-98,ISSN NO : 2236-6124.
9. G. Divya, G. Saritha , A. Venugopal,Topic-Based Recommendation with User-Product Subgroup Model,International Journal of Research,Volume 7, Issue II, February/2018,PP- 122-129,ISSN NO:2236-6124.
10. K. BalaThripuraSundari , K. Venkataramu , Dr. K. Kiran Kumar,Supervise Data Service in Multi-Cloud Storage Using Cryptographic Model,International Journal of Advanced in Management, Technology and Engineering,Volume VIII, Issue V, MAY/2018,PP- 2045-2050,ISSN NO : 2249-7455.
11. K. Suparna , R. Krishna Nayak , B. Saida,A Static Approach for Routing Inquiries in Amorphous Peer-to-Peer Networks,Universal Review,Volume VI, Issue XI, NOVEMBER/2017,PP- 182-186,ISSN NO : 2277-2723.
12. G. Saritha , G. Divya , Prof. K. Jagan Mohan,Assignment Seclusion Secure Location Proof Updates for Mobile Application,Universal Review,Volume VI, Issue XII, DECEMBER/2017,PP- 204-208,ISSN NO : 2277-2723.
13. B. Ramesh , Prof. K. Jagan Mohan , A. Hareesha,Two-Cloud Secure Database for Numeric-Related SQL Range Queries with Privacy Preserving,Universal Review,Volume VII, Issue III, MARCH/2018,PP- 218-221,ISSN NO : 2277-2723.
14. M. Praveen , B. Saida , Krishna Nayak,A Robust Framework for Spying of Malicious Apps in Online Social Network,International Journal of Advanced in Management, Technology and Engineering,Volume 7, Issue 12, DECEMBER/2017,PP- 395-398,ISSN NO : 2249-7455.
15. Krishna Nayak , K. Suparna, Prof. K. Jagan Mohan,Identify Node Clones in Mobile Wireless Networks Using Fuzzy Based Implementation,International Journal of Advanced in Management, Technology and Engineering Sciences,Volume VIII, Issue 1, JANUARY/2018,PP- 495-499,ISSN NO : 2249-7455.
16. Prof. K. Jagan Mohan , K. Venkataramu , G. Divya,An Innovative Mechanism for Optimal Profit of Cloud Supplier and Its Users,International Journal of Advanced in Management, Technology and Engineering Sciences ,Volume VIII, Issue 1, JANUARY/2018,PP- 500-503,ISSN NO : 2249-7455.
17. A. Venugopal , Krishna Nayak, P. Manikarnika,An Efficient and Secure Scheme for Multi Keyword Ranked Searching,International Journal of Research,Volume 7, Issue IV, APRIL/2018,PP- 353-356,ISSN NO: 2236-6124.
18. A. Venugopal , K. Suparna , G. Saritha,Empower Updation of Ensured Location in Geosocial Applications,Universal Review,Volume VI, Issue IX, SEPTEMBER/2017,PP- 51-55,ISSN NO : 2277-2723.
19. Dr.Sarat Chandra Nayak, Development and Performance Evaluation of Adaptive Hybrid Higher Order Neural Networks for Exchange Rate Prediction, I.J. Intelligent Systems and Applications, Volume IX, Issue 8, PP- 71-85.
20. Dr.Sarat Chandra Nayak,Artificial chemical reaction optimization based neural net for virtual data position exploration for efficient financial time series forecasting, Ain Shams Engineering Journal, Volume 8. Issue 3, PublisherElsevier.
1. Dr.Sarat Chandra Nayak,Fluctuation prediction of stock market index by adaptive evolutionary higher order neural networks, International Journal of Swarm Intelligence, Volume 2, Issue 2-3, PP-229-253.
2. Dr.Sarat Chandra Nayak, Efficient forecasting of financial time series data with virtual adaptive neuro-fuzzy inference system, International Journal of Business Forecasting and Marketing Intelligence, Volume2, Issue 4, PP-379-402.
3. A. Venugopa, Krishna Nayak , P. Manikarnika, Online Tweet Summarization and Ranking for Named Institution Impression, Universal Review, Volume V, Issue II, DECEMBER/2016, PP-84-88, ISSN NO : 2277-2723.
3. A. Venugopa, Krishna Nayak , P. Manikarnika, Online Tweet Summarization and Ranking for Named Institution Impression, Universal Review, Volume V, Issue II, DECEMBER/2016, PP-84-88, ISSN NO : 2277-2723.
5. K. VenkataRamu, A. Hareesha , Dr. Sarat Chandra Nayak, An Efficient and Dynamic Path Reconstruction in Wireless Networks, International Journal of Research, Volume 5, Issue I, January-June /2016, PP-173-177, ISSN NO: 2236-6124.
6. BalaThripuraSundari , K. Venkataramu , Dr. K. Kiran Kumar, An Efficient Secure System for Data Integrity and Replication in Cloud, International Journal of Advanced in Management, Technology and Engineering Sciences, Volume VII, Issue IV, APRIL/2017, PP-60-63, ISSN NO : 2249-7455.
7. Krishna Nayak , K. Suparna, Prof. K. Jagan Mohan, Content based File Sharing System with Dynamic Peer-to-Peer Networks, Universal Review, Volume VI, Issue II, FEBRUARY/2017, PP-43-48, ISSN NO : 2277-2723.
8. A.Prakash, Advanced Security Mechanism at ATM Centers, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 5, Issue 10, PP-197-199, ISSN (Online) 2278-1021.
9. KarthikJilla, An Novel Approach to Determine Misbehaving Nodes in MANETs, Journal of Research in Science, Technology, Engineering and Management (JoRSTEM), PP-69-72, ISSN: 2456-0197.
1. Dr.Sarat Chandra Nayak,An adaptive second order neural network with genetic-algorithm-based training (ASONN-GA) to forecast the closing prices of the stock market, International Journal of Applied Metaheuristic Computing (IJAMC), Volume 7 Issue 2, PP- 39-57, ISSN.2016040103.
2. Dr.Sarat Chandra Nayak , Artificial chemical reaction optimization of neural networks for efficient prediction of stock market indices,Ain Shams Engineering Journal, Volume 7 Issue 2,PP-371-390, ISSN 2090-4479.
3. B. Ramesh, K. VenkatRamu , Dr. K. Kiran Kumar, Semantic Image Retrieval Approach with Hidden Markov Model on Content Sharing Sites, Universal Review, Volume IV, Issue II, AUGUST/2015, PP-61-67, ISSN NO : 2277-2723.
4. K. Suparna, Dr. Dilip Kumar Mohapatra, G. Saritha, Appreciate Disagreeable Facebook Model in Online Social Network, International Journal of Advanced in Management, Technology and Engineering Sciences, Volume VI, Issue I, MARCH/2016, PP-68-71, ISSN NO : 2249-7455.
5. BalaThripuraSundari, Prof. K. Jagan Mohan, A. Venugopal, Development and Analysis of Anomaly Detection Approaches, International Journal of Research, Volume 5, Issue II, July-December /2016, PP-147-152,ISSN NO: 2236-6124.
Departmental Library
The department of CSE has established the Department library where in the access for previous projects and books will be made available for the faculty.
Best Projects
Best projects for the Academic Year 2020-21
Department | Project No. | Title of Project | Roll No. | Name of Student | Name of Guide |
| Computer Science & Engineering | Project 1 | Securing Data With Block Chain Technology | 17RA1A0520 | A Pavithra | Dr.C.Veena |
17RA1A0509 | Thatikonda Dinesh | ||||
17RA1A0502 | GopagoniAmisha | ||||
| Project 2 | Deep Learning Convolution Neural Networks For Pneumonia Detection Using Lung Images | 17RA1A0537 | G.SaikamalTeja | Ch.Shailaja | |
17RA1A0514 | G.Mahesh | ||||
17RA1A0527 | P.SairamRedddy |
Project Lab
The department is equipped with project laboratory with an area of 100 SQM. which has been established with well equipped systems of latest hardware configuration and modern open source software technologies. The facilities provided in the project laboratory are as following:
S. No | Name of the equipment | Specification | Qty |
1 | Computer Systems | Intel Core2 Processor 2.40 GHz; RAM 2.00 GB | 36 |
2 | EPSON UPS | Capacity 10KVA/192 VDC Amaron SMF Batteries, Capacity:26AH/12V Batterystand ,cables and links | 1 |
3 | Software’s | 1.My Eclipse, Net beans IDE | _ |
Following free and open source Software’s are available in the Project Lab:
- UBUNTU, Red Mat – Linux Programming
- Python IDLE 2.6.4 - Python programming language
- MySQL, PostgreSQL, SQLite – OO / RDMS
- TextMaker (IDE for LaTeX) – Technical Documentation
- Winrunner,Testlink,Bugzilla, Selenium IDE,Test Director – Automated Testing
- XAMPP Stack, Apache Tomcat – Web Development
- StarUML – Technical Diagrams
- MS Office – Document Processing
- Weka ,Pentaho Integration tool-Data Mining
- BlueJ IDE-OOPS through Java
- Additional Softwares: C/C++ Compilers, JDK 1.7, PERL, LEX, YACC (Bison), Oracle 11i.
Utilization
S. no. | Name of the Facilities | Utilization |
1 | MsOffice | 2nd ,3rd semester students |
2 | APACHE TOMCAT 8 | 6th semester students, PG students, Research |
3 | STAR UML,IBM Rational Rose Enterprise | 5th semester students, Research scholars & faculty members. |
4 | RED HAT 5.1.19.6, | 6th semester students, Research scholars and Faculty members. |
5 | JDK 1.8 | 2nd, 3rd and 4th semester students, UG students, Research |
6 | Adobe suite | 6th ,8th semester students, UG students, Research scholars |
7 | Microsoft Windows 7 O.S | 3rd,4th,5,6.7 and 8 semester students, PG |
- The Project laboratory offers students an opportunity to gain valuable hands-on experience with modern software technologies to develop various innovative software prototypes.
- The Project Laboratory has a key role in promoting practical learning experience, where they develop innovative proposals. The Project Laboratory has a key role in promoting practical learning experience, where they develop innovative proposals.
- It is useful for carrying out students major and minor project work and faculty’s research work.
- Internet facility is provided to the students. Lab Instructors assist students to set up the required environment in Systems/laptops for doing their project work.
- Open source software is provided to students according to their requirements.
- Digital library facility is provided to the students and faculty to assist their Research activities.
- UBUNTU
Project Development Process
- Grouping of students (maximum of 3 or 4 in a group)
- Allotment of projects and project guides
- Project monitoring at regular intervals to improve the output
- Periodical project review process
- Establishing common norms for final documentation
List of activities/ projects done in this project lab:
A.Y: 2018-19
Sr.No. | HALL TICKET NUMBER | NAME OF THE STUDENT | PROJECT TITLE | NAME OF THE GUIDE |
1 | 15RA1A0521 | M.Leela | DiploCloud: An efficient and scalable management of RDF Data | Dr.D.Marlene Grace |
2 | 15RA1A0535 | V.Srikanth | Getitbazaar | Mrs.K.B.T. Sundari |
3 | 15RA1A0512 | G.Sushmitha | Audit Free Cloud Storage via Denaiable Attribute Based Encryption | Mr.E.Raghu |
4 | 15RA1A0504 | C.Samhith | A Hybrid Cloud Approach for Secure Authorised DeDuplication | Mr.A.Venu Gopal |
5 | 15RA1A0506 | D.Manoj Kumar | Android Control Marketing Drone | A.Shirisha |
6 | 15RA1A0513 | K.Bindu Priya | Privacy Preserving Selective Aggregation of Online User Behaviour Data | Mr.B.Ramesh |
7 | 15RA1A0505 | Ch.Rajesh | Dynamic and Public Auditing with Fair Arbitration of Cloud Data | Mr.R.Krishna Nayak |
8 | 15RA1A0526 | P.Dwarakanth | Cryptographic Tamper Evidence | Mr.A.Prakash |
9 | 15RA1A0522 | Nisha Kumari B | Online Auction Fraud Detection | Mrs.K.Suparna |
Project Expo: Project expo is organized by KPRIT which provides the platform to the students to showcase their project work. Projects are evaluated by experts appointed by the University.
Internal Quality of Question Paper
A sample of mid semester question paper is specified below.
Academic Year: 2017-18
Content beyond the syllabus
Delivery details of the Content beyond syllabus:
Academic Year: 2018-19
| Sno | Curricular Gap Identified | Action Taken | Name of the Event | Name of the resource person & Designation | Date of the Event |
| 1 | Ontology Engineering | Ontology Engineering | Seminar | Dr. K. Sunil Manohar Reddy, Assoc. Prof., Matrusri Egg College | 23-03-2019 |
| 2 | Data abstraction Instances & Schemas | Data abstraction Instances & Schemas | Guest Lecture | Mrs. D.Padmaja, Assoc Prof. | 20-03-2019 |
| 3 | Virtual Machine Dispatcher | Virtual Machine Dispatcher | Guest Lecture | Dr.K.Vijaypal Reddy, Professor, Matrusri Egg College | 25-03-2019 |
| 4 | Splay Tree | Splay Tree | Guest Lecture | Mr.K.Sudhakar Reddy Assoc. Prof. | 18-08-2018 |
| 5 | Agile Process Models | Agile Process Models | Guest Lecture | Mr.Kranthi, DBA, Amplisoft, Hyderabad | 10-08-2018 |
| 6 | Support Vector Machine | Support Vector Machine | Guest Lecture | Dr. K.M.V. Madhan Kumar, | 22-09-2018 |
| 7 | Introduction to Cyber Security | Introduction to Cyber Security | Guest Lecture | Dr. P. Vijaypal Reddy, Professor &HOD, Matrusri Engineering College, Saidabad, Hyderabad | 09-01-2018 |
| 8 | Programming using Context Free Grammar | Programming using Context Free Grammar | Seminar | Mr.M. Narayana Engineer in Mapper | 27-02-2018 |
| 9 | Discussion of Programming Language basics like C#, PASCAL, Ada | Discussion of Programming Language basics like C#, PASCAL, Ada | Seminar | Mr. B Subha Rayudu Jr.Software Developer | 04-10-2017 |
| 10 | RIP- Routing Information Protocol | RIP- Routing Information Protocol | Guest lecture | Mr. D.Chandra Shekar, Program Developer, Infosys | 23-09-2017 |
| 11 | LL(0) Parsing- A Top Down Parsing | LL(0) Parsing- A Top Down Parsing | Seminar | Dr. S. SureshKumar, JNTUH | 13-10-2017 |
| 12 | Improve Quality OffServices in networks related to integrated and ifferentiated | Improve Quality OffServices in networks related to integrated and ifferentiated | Seminar | Dr.ChalumuriSuresh | 25-10-2017 |
Teaching Methods
Faculty Name | Teaching Method used |
| Prof. K.Jagan Mohan | NPTEL, Whiteboard and PPT, Khan Academy |
| Dr. Sarat Chandra Nayak | Visual Based NPTEL, PPT, Whiteboard, Actual Objects |
| G. Saritha | Virtual-labs.ac.in supported by MHRD, Govt of India, Whiteboard , Additional Experiments |
| B. Saida | Virtual-labs.ac.in supported by MHRD, Govt of India, Whiteboard , Additional Experiments, Presentations |
| Mr.B.Ramesh | White Board, overhead projector, Demonstration, charts |
| Mr.A.VenuGopal | Whiteboard, PPT, Pictures, Plickers |
| Mr. Krishna Nayak | Whiteboard, Demonstration and Roll play |
| Mrs.K.Bala Tripura Sundari | Whiteboard, PPT, Plickers, Roll play, Charts |
| Mrs. T. Aswani | White Board, PPT, Plickers |
| Ms.P.Janaki | Spoken Tutorial, Whiteboard, Seminars, NPTEL videos |
| Mrs.K.Suparna | Whiteboard, Group tasks, Role play, Maps, PPT |
| Ms.G.Divya | White Board and PPT, Interactive based, |
| M.Praveen | White board, PPT, Charts, Group Tasks. |
| A.Hareesha | Whiteboard, PPT, Charts |
| P.Manikarnika | Whiteboard, PPT, Group Tasks |
| Mr.K.VenkataRamu | Virtual-labs.ac.in supported by MHRD, Govt of India, Whiteboard , Whiteboard, PPT, Online experiments thru Internet |
| A.Prakash | White board,PPT, Group Tasks, Charts |
| Dr. K. Kiran Kumar | Khan Academy, Whiteboard, NPTEL, Workshop |
| Mr. B. Pavan Kumar | PPT,-Lecture, White board, Industry Visit to BSNL, Hyderabad to acquire practical knowledge and mechanism of GSM related concept |
| Ms.B.Divya chowdary | NPTEL, Whiteboard, Seminars, PPT |
| Mrs.D.Mythili | Virtual-labs.ac.in supported by MHRD, Govt of India, Whiteboard , PPT, Online experiments thru Internet, Viva |
| Mr.J.Karthik | NPTEL, Whiteboard, Spoken Tutorial |
| Dr. Dillip Kumar Mohapatra | Digital Library inflibnet , NPTEL, Whiteboard, Seminars, PPT. |
| Mallareddy Kishore Babu | Spoken Tutorial , Assignments, NPTEL |
| Mr.S.Thirupathi | Virtual-labs.ac.in supported by MHRD, Govt of India, Whiteboard , Students discussion |
| Mr.T.Thirupathi | Virtual-labs.ac.in supported by MHRD, Govt of India, Whiteboard ,PPT, Online experiments thru Internet, |
| Mr.B.Naveen | Group activities, Virtual-labs.ac.in supported by MHRD, Govt of India, Whiteboard, PPT, |
| Mr. N.Santhosh Kumar | Virtual-labs.ac.in supported by MHRD, Govt of India, Whiteboard , Additional Experiments, Students discussion |
| Dhruva JyotiGhosh | Digital Library inflibnet , NPTEL, Whiteboard, |
| K. Sampath | Digital Library inflibnet , NPTEL, Whiteboard,. |
Course file
Course File Contents
Sr. No. | Contents |
1 | Institute V & M , Department V&M, PEO’s, PO’s, PSO’s |
2 | University Syllabus |
3 | Course Outcomes |
4 | CO-PO mapping with Justification |
5 | Is Syllabus Changes Listed? |
6 | Gaps Identified during Mapping if any |
7 | Topics beyond syllabus |
8 | Evidence of (Seminar/ Guest lecture/ Workshop, etc.) conducted for fulfilment of Gap |
9 | Revised CO-PO Mapping if any |
10 | Student Customization based on previous year/ semester result |
11 | Student Customization based on Mid-I & Mid-II |
12 | Course outcome assessment sheet |
13 | Lecture notes |
14 | PPT’s, Videos (in CD), Self Learning Material |
15 | Web references |
16 | Charts |
17 | Assignments |
18 | Tutorial evidence |
19 | Unit wise Question bank |
20 | Is Gate Question bank present? |
21 | Mid 1- Question papers |
22 | Mid 1 – Question paper – Key |
23 | Mid 1 – Question paper – Scheme of Evaluation |
24 | Mid 2- Question papers |
25 | Mid 2 – Question paper – Key |
26 | Mid 2 – Question paper – Scheme of Evaluation |
27 | University Question papers (Last three years) |
28 | Remedial Classes |
29 | Result Analysis (After Completion of course ) |
30 | Student Feedback Analysis |
31 | Lesson plan |
32 | Time table |
33 | Department Calendar |
34 | University Calendar |
35 | Attendance Register -Teacher Log updated with signature of faculty and HOD |
36 | Internal, Assignment Marks entry in Attendance Register |
37 | Sample Answer Sheets |
38 | Sample Assignment Sheets |
39 | Sample Tutorial Sheets |
40 | Audited by IQAC |
Signature of the faculty
Improvements in Placements, Higher Studies & Entrepreneurs
1.Percentage of Students Placed:
| Academic year | % of students placed |
|---|---|
| 2015-16 | 50 |
| 2016-17 | 50 |
| 2018-19 | 60 |
2.Number of Companies Visited:
| Academic year | % of students placed |
|---|---|
| 2015-16 | 4 |
| 2016-17 | 5 |
| 2018-19 | 7 |
3.Number of students in Higher Studies:
| Academic year | % of students placed |
|---|---|
| 2015-16 | 0 |
| 2016-17 | 0 |
| 2018-19 | 2 |
Patents filed
Dr. D Marlene Grace applied for a patent on Eyewear with Earphone set.
Scheme for slow learners and Bright Students
The department has a well defined process of monitoring, guiding and assisting the students and to identify them as weak or bright students and providing them necessary support in improving their performance.
Process of identification of students as weak/ bright students:
- Appropriate care has taken by the faculty in monitoring the performance of a student in the class, attendance, assignment, mid semester and external examination results.
- The mentors regularly conduct meeting with the students and identify weak and bright students.
- The mentors regularly conduct meeting with the students and identify weak and bright students.
- Faculty will analyze and identify the weak students and bright students based on their previous performance before the start of the semester.
- After the 3rd week of classes based on the observation and previous semester result the identification of weak and bright students will be done.
Scheme:
Students who got below 60% or less than or equal to 14/25 marks in mid semester are considered as weak students, Students who scored above 72 % or more than 18/25 Marks are considered as bright students.
Contact Us
DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING,
Kommuri Pratap Reddy Institute of Technology,
DR.D.MARLENE GRACE
Email: csehod@kpritech.ac.in,
Ghanpur [V], Near NTPC, Ghatkesar [M],
Medchal [D], Telangana, India. Pin: 500088.
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