The main source and strength of the department is its faculty, the department maintains the faculty as per the ratio , the main focus of the faculty members is to provide in-depth knowledge to the students in the respective course. The undergraduate program is emphasized on theoretical and practical aspects, apart from these the students are nurtured to participate in online coding competitions like TCS Hack Quest, Microsoft Imagine Cup, etc., the department has taken an initiation to expose the student towards the online coding platforms like Hackerrank, Code Chef. The department possesses computer labs with high end configuration and also CM Skill Excellence Center and also possesses a good placement record. Department of Information Technology organizes various workshops and seminars to the students to get an exposure in par with the trends in technology. Current industry needs a student with an exposure and skill set in Database Management, Artificial Intelligence, Web Development, Cloud Architecture, Project Management, etc., So the program driven by the department is managed to make the student industry ready.
Today the branch of Information Technology is becoming pervasive as technology is changing rapidly in the field of computer science. So the process of learning should not end with the acquisition of a degree.
Under Graduate | Intake |
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B.Tech. (Information Technology) | 60 |
S.No | Name of the faculty | Title | Reference | Journal |
1 | Regella Venkata Satya Lalitha | Smart Surveillance with Smart Doorbell | https://www.ijitee.org/wp-content/uploads/papers/v8i8/H6864068819.pdf | International Journal of Innovative Technology and Exploring Engineering (IJITEE) |
2 | Kovvuri N Bhargavi | Exploiting Ensemble Learning for Rainfall Prediction using Meta Regressors and Meta Classifiers | https://www.ijeat.org/wp-content/uploads/papers/v9i3/C5806029320.pdf | International Journal of Engineering and Advanced Technology (IJEAT) |
3 | Ch V Raghavendran | House Price Prediction Using Machine Learning | https://www.ijitee.org/wp-content/uploads/papers/v8i9/I7849078919.pdf | International Journal of Innovative Technology and Exploring Engineering |
4 | Ch V Raghaendran | Preventing Intrusions into Networks using Honeypot Servers | http://www.ijsrcsams.com/index.php/past-issues/volume-9/v9-issue-3 | International Journal of Scientific Research in Computer Science Applications and Management Studies |
5 | Thiruveedula Srinivasulu | Enhancing Clinical decision support systems using supervised learning methods | DOI:18.0002.IJAEMA.2020.V12I5.200001.0156695 | The International Journal of Analytical and Experimental modal analysis |
6 | Regella Venkata Satya Lalitha | Air Pollution Analysis using Linear Regression | http://mantechpublications.com/admin/index.php/JoCSE/issue/view/2738 | Journal of Artificial Intelligence, Machine Learning and Soft Computing |
7 | Kovvuri N Bhargavi | Identifying drowning Objects in Flood water and classifying using Deep Convolution Neural Networks | https://imanagerpublications.com/article/18451 | Journal on Image Processing (JIP |
8 | Kovvuri N Bhargavi | Internet of Things Flood Prediction Architecture using Naive Bayes, Non-Linear Support Vector Machines (SVM) and Multi-Layer Perceptron (MLP) Classifiers | http://sersc.org/journals/index.php/IJAST/article/view/30311/16751 | International Journal of Advanced Science and Technology |
9 | R V V N Bheema Rao | Advanced Link Prediction Technique for Social Networking Techniques | https://www.turcomat.org/index.php/turkbilmat/article/download/8297/6477/14884 | Turkish Journal of Computer and Mathematics Education |
10 | Thiruveedula Srinivasulu | QABA: A privacy model to reduce adversary attacks for cloud storage | https://doi.org/10.1016/j.matpr.2020.11.483 | Materials today: Proceedings |
11 | Ch V Raghavendran | Predicting Rise and Spread of COVID-19 Epidemic using Time Series Forecasting Models in Machine Learning | https://www.researchtrend.net/ijet/current_issue_ijet.php?taxonomy-id=81 | International Journal on Emerging Technologies |
12 | Ch V Raghavendran | Predicting Coronary Heart Disease: A Comparison between Machine Learning Model | http://sersc.org/journals/index.php/IJAST/article/view/30385 | International Journal of Advanced Science and Technology |
13 | Ch V Raghavendran | Building Time Series Prognostic Models to Analyze the Spread of COVID-19 Pandemic | http://sersc.org/journals/index.php/IJAST/article/view/31524 | International Journal of Advanced Science and Technology |
14 | Ch V Raghavendran | Coordinate Access System for Live Video Acquisition | DOI:10.1088/1742-6596/1712/1/012034 | Journal of Physics: Conference Series |
15 | Ch V Raghavendran | Proposing a reliable method of securing and verifying the credentials of graduates through blockchain | https://doi.org/10.1186/s13635-021-00122-5 | EURASIP J. on Info. Security |
16 | Ch V Raghavendran | Cyber Defense in the Age of Artificial Intelligence and Machine Learning for Financial Fraud Detection Application | https://ijeer.forexjournal.co.in/archive/volume-10/ijeer-100206.html | International Journal of Electrical and Electronics Research (IJEER) |
To be a department with high repute and focused on quality education |
To provide an environment for the development of professionals with knowledge and skills. |
To promote innovative learning. |
To promote innovative ideas towards society. |
To foster trainings with institutional collaborations. |
To involve in the development of software applications for societal needs. |
PEO1: | Graduates will be skilled in Mathematics, Science &modern engineering tools tosolve real life problems. |
PEO2: | Excel in the IT industry with the attained knowledge and skills or pursue higher studies to acquire emerging technologies and become an entrepreneur. |
PEO3: | Accomplish a successful career and nurture as a responsible professional with ethics and human values. |
PO1: Engineering knowledge |
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. |
PO2: Problem analysis |
Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences. |
PO3: Design/development of solutions |
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. |
PO4: Conduct investigations of complex problems |
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. |
PO5: Modern tool usage |
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. |
PO6: The engineer and society |
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. |
PO7: Environment and sustainability |
Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development. |
PO8: Ethics |
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. |
PO9: Individual and team work |
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. |
P10: Communication |
Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions. |
P11: Project management and finance |
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 |
P12: Life-long learning |
Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change. |
PSO's
PSO1: | Apply mathematical foundations, algorithmic and latest computing tools and techniques to design computer-based systems to solve engineering problems. |
PSO2: | Apply knowledge of Engineering and develop software-based applications for research and development in the areas of relevance under realistic constraints. |
PSO3: | Apply standard practices and strategies in software project development using open-ended programming environments to deliver a quality product. |
R20 | ||
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S.No | Course | Syllabus |
1 | B.Tech | View |
2 | M.Tech | View |
R19 | ||
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S.No | Course | Syllabus |
1 | B.Tech | View |
2 | M.Tech | View |
R13 | ||
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S.No | Course | Syllabus |
1 | B.Tech | View |
2 | M.Tech | View |
S.No | NAME OF THE STAFF | QUALIFICATION | DESIGNATION | EXPERIENCE | PHOTO |
---|---|---|---|---|---|
1 | T.Srinivasulu | M.TECH(Ph.D) | Assistant Professor | 8 | ![]() |
2 | ChaluvadiVRaghavendran | Ph.D | Professor | 12 | ![]() |
3 | Kovvuri Naga Bhargavi | M.TECH(Ph.D) | Assistant Professor | 10 | ![]() |
4 | Nagireddi Surya Kala | M.Tech | Assistant Professor | 8 | ![]() |
5 | Darisi Haritha | M.TECH(Ph.D) | Assistant Professor | 8 | ![]() |
6 | R V V N Bheema Rao | M.TECH(Ph.D) | Assistant Professor & HOD | 9 | ![]() |
7 | Meriga Kiran Kumar | M.Tech | Assistant Professor | 6 | ![]() |
8 | Juvvala Sailaja | M.Tech | Assistant Professor | 6 months | ![]() |
9 | Bhattiprolu Srinivas | Ph.D | Associate Professor | 15 | ![]() |
S.No | Name of the faculty | Research Area | Title |
1 | Dr. Ch. V. Raghavendran | Networks | Study on two node tandem communication network models with feedback under dynamic bandwidth allocation having homogeneous and non homogeneous poisson arrivals |
2 | Mrs. K.Naga Bhargavi | Data Mining | Disaster Management System using GIS |