Computer Science and Engineering
About the Department
The Department of Computer Science and Engineering was established in 2007 and offers an undergraduate program identified as B.Tech in CSE. Initially, the department admitted 60 students, but this number was later raised to 90 in 2009, 180 in 2012, 360 in 2023, and 420 in 2024. The UG-CSE program is accredited by NBA in 2016, 2019, and 2022, and it is valid until 30 June 2025.
Faculty members of the department are extremely knowledgeable and talented. They impart their expertise in a variety of UG program courses because of their varied backgrounds in computer science and engineering. In order to enhance students’ practical skills, the department keeps firm relationships with numerous industries.
MOUs are inked with industries in Hyderabad, Bangalore, and Chennai to foster industry-institution interaction. Through this contact, staffs and students participate in real-world initiatives, plan industrial trips, and receive training and internship possibilities. The students’ success rate has above 90% throughout the past three years.
Laboratories are spacious and well-equipped with advanced configuration technologies. The ratio of students to computers is maintained at 1:4. New experiments are conducted in each lab to provide the students great and impactful practical experience.
Welcome to the Department of Computer Science and Engineering at St. Peter’s Engineering College. Our department is committed to providing an exceptional learning environment where students are empowered to become Future-ready technologists, Innovators, and Problem solvers. With a curriculum that balances foundational knowledge and Emerging Technologies, we focus on areas like Artificial Intelligence, Machine Learning, Cybersecurity, Data Science, Cloud Computing, and Software Engineering. Our dedicated Faculty members guide students not just in academics but also in Research, Innovation, and Entrepreneurship. We strongly encourage student participation in Hackathons, Coding Competitions, Internships, and Industry Projects to prepare them for real-world challenges. We are proud of our vibrant student community, dynamic research initiatives, and strong placement records. We invite you to be part of this exciting journey and contribute to shaping the future of technology. |
Head of DepartmentDr. Amjan ShaikEmail: [email protected] Phone: 9866040342 |
Vision
To be a global leader in Computer Science Education, Research and Development, Innovation through industry collaboration and cultivating future-ready technologists.
Mission
DM 1: Cultivate experiential learning through state-of-the-art technologies and algorithms to address real-world interdisciplinary challenges.
DM 2: Collaborate with industry and academia to equip students with cutting-edge skills and prepare them for dynamic careers.
DM 3: Strengthen theoretical and applied research in Computer Science & Engineering, fostering innovation, impactful contributions, and instilling ethical values and social responsibility in all endeavors.
Contact Us
Head of Department
Dr. Amjan Shaik
Qualifications: M.Tech., Ph.D., PDF
Email: [email protected]
Phone: 9866040342
Program Educational Objectives
PEO 1: Innovate and contribute to research, driving technological advancements in industry and society.
PEO 2: Excel as leaders in software development, ensuring industry and government excellence.
PEO 3: Lead entrepreneurial ventures, fostering growth in computer science-driven technologies at national and global levels.
Program Outcomes
PO: 1 ENGINEERING KNOWLEDGE: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO: 2 PROBLEM ANALYSIS: Identity, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using the first principles of mathematics, natural sciences, and engineering sciences.
PO: 3 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 public health and safety, and cultural, societal, and environmental considerations.
PO: 4 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.
PO: 5 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.
PO: 6 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.
PO: 7 ENVIRONMENT AND SUSTAINABILITY: Understand the impact of professional engineering solutions in societal and environmental contexts, demonstrate the knowledge of, and need for sustainable development.
PO: 8 ETHICS: Apply ethical principles and commit to professional ethics, responsibilities, and norms of the engineering practice.
PO: 9 INDIVIDUAL AND TEAM WORK: Function effectively as an individual, and as a member or leader in diverse teams, and multidisciplinary settings.
PO: 10 COMMUNICATION: Communicate effectively on complex engineering activities with the engineering community and with society, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
PO: 11 PROJECT MANAGEMENT AND FINANCE: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
PO: 12 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.
Program Specific Outcomes
PSO-1 Design and develop computing subsystems for data storage, communication, information processing, and knowledge discovery.
PSO-2 Design algorithms for real-world problems, focusing on execution and complexity analysis while considering security, cost, quality, and privacy parameters in software development.
NBA Accreditation of Computer Science and Engineering
B.Tech Program
The details of the NBA accreditation status and the programs accredited are as follows:
| Visits | Duration | Proof of Document |
| First NBA Visit | 2 years 01-07-2016 to 01-07-2018 | View Here |
| Second NBA Visit | 3 years 2019-2020 to 2021-2022 Upto 30-06-2022 | View Here |
| Third NBA Visit | 3 years 2022-2023 to 2024-2025 upto 30-06-2025 | View Here |
Faculty Innovations
The Department of Computer Science and Engineering integrates innovative teaching strategies such as flipped classrooms, animation videos, group discussions, and MOOCs (NPTEL, Coursera) to enhance student engagement and comprehension. Techniques like poster presentations, surprise tests, and activity-based learning foster critical thinking and practical application. Digital tools like E-Class and interactive simulations enrich the learning experience by making complex concepts more accessible. These approaches collectively promote collaborative, student-centered, and technology-enhanced education tailored to modern industry needs..
| S.No | Name of the Course | Innovative Teaching Strategy | Weblink |
|---|---|---|---|
| 1 | Software Engineering | Group Activities + Flip Flop Quiz Creation | View |
| 2 | Computer Networks | Group Discussions & Poster Presentations on network models | View |
| 3 | Operating Systems | Animated Videos + NPTEL-based Flipped Classroom | View |
| 4 | Database Management Systems | Activity-Based Learning + Surprise Tests | View |
| 5 | Cloud Computing | Visual PPTs + Interactive Simulation via Digital Tools | View |
| 6 | Web Technologies | Hands-on Coding + Real-time Demonstration via E-Class | View |
| 7 | Machine Learning | Flipped Classroom + Peer Review Activities using MOOC content | View |
| 8 | Computer and Network Security | Case Study Discussions + Video-Based Demonstrations | View |
Laboratories
The Department of Computer Science and Engineering has well established laboratories with necessary hardware and software for enriching the practical knowledge of the students with creative engineering programs / exercises. Over and above the students can develop variety of applications with the support and guidance of the faculty members.
Programming for Met cognitive Lab(S47)
The Programming for Metacognitive Laboratory is aimed at enhancing students' problem-solving capabilities through metacognitive strategies, emphasizing the awareness and regulation of their thinking during programming tasks. This lab encourages students to reflect on their coding approaches, identify errors, and develop self-regulation techniques while implementing logical solutions. Through guided exercises, algorithm tracing, and code debugging sessions, students explore various ways to optimize code efficiency and improve comprehension. This lab helps foster cognitive awareness, critical thinking, and reflective learning, preparing students to become thoughtful and effective problem solvers.
Data Structures Lab(S48)
The Data Structures Laboratory is structured to provide students with hands-on experience in designing, implementing, and analyzing data structures that are fundamental to computer science. This lab complements theoretical concepts such as arrays, linked lists, stacks, queues, trees, graphs, and hashing by offering real-world programming exercises. Students learn to write efficient and optimized code using sorting, searching, and traversal algorithms. By engaging in implementation-based tasks and performance comparisons, the lab helps develop analytical thinking, coding precision, and foundational skills necessary for advanced programming and algorithm development.
Fundamentals of Python Programming Lab(S11)
The Fundamentals of Python Programming Laboratory introduces students to the basics of programming using Python, a versatile and widely-used language in modern software development and data science. This lab provides a practical environment to understand variables, control structures, functions, object-oriented programming, and file handling. With its emphasis on clean and readable code, Python allows students to focus more on problem-solving than syntax. The lab fosters creativity, logical reasoning, and confidence in programming, laying a strong foundation for further coursework in data analytics, machine learning, and web development.
Database Management systems Lab(S11A)
The Database Management Systems Laboratory offers a practical understanding of database concepts, focusing on the design, creation, and manipulation of relational databases. Students gain hands-on experience using SQL and PL/SQL to perform operations such as data definition, querying, joins, indexing, and transactions. The lab also introduces students to normalization techniques, ER modeling, and stored procedures. Through the use of database management tools like MySQL or Oracle, the lab bridges theory and practice, enabling students to design robust and efficient database systems for real-world applications.
Operating Systems Lab(F20)
The Operating Systems Laboratory is designed to provide students with practical exposure to the core concepts of operating systems, which are central to modern computing. Through hands-on experiments, students explore process management, memory allocation, file systems, CPU scheduling algorithms, and synchronization techniques. Using C and Linux-based environments, they implement various OS modules and simulate real-time scenarios such as deadlock handling and inter-process communication. This lab reinforces theoretical learning, fosters system-level thinking, and equips students with the skills to design efficient and reliable operating systems components.
Computer Networks Lab(F17)
The Computer Networks Laboratory provides a platform for students to understand and implement networking protocols, data communication techniques, and socket programming. Through practical exercises, students configure network topologies, simulate data transfer using TCP/IP and UDP, and analyze network traffic using tools like Wireshark. The lab also includes routing and switching experiments using Packet Tracer and real-time networking hardware. This hands-on environment helps students gain a deep understanding of how networks operate, while enhancing their diagnostic and troubleshooting abilities in network configurations.
Object Oriented programming through JAVA Lab(S13)
The Object-Oriented Programming through Java Laboratory introduces students to the principles of object-oriented programming and software design using Java. Students work on creating classes and objects, applying concepts such as inheritance, polymorphism, abstraction, and encapsulation. The lab also involves exception handling, file I/O operations, and GUI application development using Java Swing. Through structured programming tasks and problem-solving activities, students develop modular and reusable code, preparing them for larger software development projects and real-world application building.
Software Engineering Lab(F14)
The Software Engineering Laboratory is focused on providing students with practical exposure to the software development life cycle (SDLC), including planning, analysis, design, development, testing, and documentation. Students engage in team-based projects that follow engineering principles, utilizing tools for creating UML diagrams, generating software requirement specifications, and managing project timelines. This lab emphasizes collaboration, version control, and quality assurance practices, thereby preparing students for professional software engineering roles and industry-standard development environments.
WAD & NLP Lab(S17)
The Web Application Development & Natural Language Processing Laboratory offers a dual-focus platform where students learn to build dynamic, responsive web applications while also exploring foundational NLP techniques. In the web development component, students use HTML, CSS, JavaScript, and server-side scripting languages such as PHP or Python (Flask/Django). The NLP segment introduces students to text processing, tokenization, stemming, and sentiment analysis using libraries like NLTK and spaCy. This lab equips students with cross-disciplinary skills needed for developing intelligent web interfaces and language-based applications.
Internet of Things Lab(G11)
The Internet of Things (IoT) Laboratory provides students with experiential learning in designing, building, and deploying IoT-enabled systems. Students use microcontrollers such as Arduino and Raspberry Pi to interface with various sensors and actuators, and implement real-time data collection and communication. Experiments include temperature monitoring, motion detection, and smart automation using Wi-Fi and Bluetooth modules. Cloud integration through platforms like ThingSpeak or Blynk is also explored. This lab nurtures innovation, hands-on circuit design, and the integration of software and hardware components for smart applications.
Automata and Compiler Design Lab(S20)
The Automata and Compiler Design Laboratory introduces students to the practical aspects of language theory and compiler construction. Students perform experiments involving lexical analysis, syntax parsing, and finite automata simulation using tools like LEX, YACC, and JFLAP. They implement modules for token generation, grammar parsing, and syntax-directed translation. The lab bridges theoretical concepts in formal languages with hands-on applications in compiler design, preparing students to understand language processors and the internal workings of programming language translation.
Data Mining Lab(S21)
The Data Mining Laboratory focuses on the extraction of useful patterns and knowledge from large datasets. Students engage in data preprocessing, transformation, and visualization, and perform classification, clustering, and association rule mining using tools such as Weka, R, or Python (scikit-learn, pandas). Through practical datasets and use-case simulations, the lab emphasizes real-world applications in business intelligence, healthcare, and social data analytics. It enhances analytical thinking and prepares students for careers in data science and big data technologies.
FML & NLP Lab(S8)
The Formal Methods and Natural Language Processing Laboratory provides a unique blend of theoretical computing and AI-based language processing. The FML component introduces students to mathematical models, propositional logic, and model checking, while the NLP section focuses on language processing tasks such as POS tagging, parsing, and named entity recognition. Tools and languages like Prolog, Python (with NLTK/spaCy), and symbolic logic simulators are used. This integrated lab fosters logical reasoning, linguistic computing, and prepares students for research and development in AI, linguistics, and formal software verification.
Faculty Achievements
Faculty Certification of MOOCs through SWAYAM
Academic Year: 2024-25
| S.No | Name of the Faculty | Name of Course | Course Offered by (agency) | Grade Obtained if any |
|---|---|---|---|---|
| 1 | Mrs. Jagatjeetha Mohanty | Bigdata Computing | NPTEL | 76% |
| 2 | Mr. M Vijay Raju | Operating Systems Fundamentals | NPTEL | 46% |
| 3 | Mr. S Satya Nagendra Rao | Problem Solving through Programming in C | NPTEL | 83% |
| 4 | Mr. Sk Md Ilias | Privacy and Security in online Social Media | NPTEL | 50% |
| 5 | Mr. Sk Md Ilias | Cloud Computing | NPTEL | 57% |
| 6 | Mr. S Veerabadraiah | Introduction to IoT | NPTEL | 76% |
| 7 | Mrs. K Madhavi | The Joy of computing usingPython | NPTEL | 71% |
Academic Year: 2023-24
| S.No | Name of the Faculty | Name of Course Passed | Course Offered by | Grade Obtained if any |
|---|---|---|---|---|
| 1 | Mr. Chennaiah K | Python for Data Science | NPTEL | 81% |
| 2 | Mrs. Madhavi K | Introduction to Machine Learning | NPTEL | 66% |
| 3 | Mr. Rama Krishna Srinivas G | Programming in Java | NPTEL | 91% |
Academic Year: 2022-23
| S.No | Name of the Faculty | Name of Course Passed | Course Offered by | Grade Obtained if any |
|---|---|---|---|---|
| 4 | Mr. Chennaiah K | The Joy of computing using Python | NPTEL | 80% |
| 5 | Mr. Rama Krishna Srinivas G | Data Mining | NPTEL | 96% |
| 6 | Mrs. K Madhavi | Programming in Java | NPTEL | 85% |
| 7 | Mr. Rama Krishna Srinivas G | Problem Solving Through Programming in C | NPTEL | 97% |
| 8 | Mr. Chennaiah K | Data Analytics with Python | NPTEL | 60% |
| 9 | Mrs. Ch Aswini | Cloud Computing | NPTEL | 55% |
| 10 | Dr.P.Deepan | Python for DataScience | NPTEL | 65% |
Academic Year:2024-25
| S.No. | Name of the Faculty | Patent Publication /Grant | Title | National/International | Application Number | Date of Publication/Grant |
|---|---|---|---|---|---|---|
| 1 | Dr. Amjan Shaik | Design Grant | IoT Classroom Monitoring Device | National | 437609-001 | 30-01-2025 |
| 2 | Dr. Amjan Shaik | Design Grant | Data Processing Device for Generalising Image from Textual Descriptions | National | 432307-001 | 04-12-2024 |
| 3 | Dr. Amjan Shaik | Design Grant | Interactive Classroom Monitoring System | National | 437610-001 | 31-01-2025 |
| 4 | Mr.S.Veerabadraiah | Publication | Dynamic Cloud Infrastructure Optimization for Enhanced Service Reliability | National | 202441069715 A | 20/09/2024 |
| 5 | Mr.S.Veerabadraiah | Publication | Machine Learning Algorithms for Real-Time Data Processing in Autonomous Systems | National | 202441069714 A | 20/09/2024 |
| 6 | Dr. P. Deepan | Publication | A Smart Wearable Integrating Ai and IOT Based Parent Banding System for Enhanced Parental Support | National | 2024410 53190 A | 19/07/2024 |
| 7 | Mr.S.Veerabadraiah | Publication | Adaptive Neural Network Framework for Real-Time Data Analytics in Smart Cities | National | 202441069713 A | 20/09/2024 |
| 8 | Mr. M Vijaya Raju | Grant | Shopping Assistance Robot | National | 430416-001 | 13/09/2024 |
| 9 | Dr. R Venkat | Publication | Algorithmic AI-Powered Trading for Unlocking Next-Generation Market Analysis | National | 202441060596 A | 23/08/2024 |
| 10 | Dr. R Venkat | Publication | Curriculum Opportunities for Computational Thinking and Machine Learning in Mathematics | National | 202441054615 A | 02/08/2024 |
| 11 | Dr. R Venkat | Publication | Enhancing E-Service Quality on E-Commerce Platforms Through AI and Machine Learning | National | 202441064443 A | 30/08/2024 |
| 12 | Dr. R Venkat | Publication | Exploring Machine Learning Models in Mobile-Integrated Vocabulary Learning for EFL Students in Higher Education | National | 2024410 64134 A | 30/08/2024 |
| 13 | Dr. R Venkat | Publication | Identifying Therapeutic Targets of Lung Cancer Using Machine Learning and Molecular Docking | National | 2024410 64500 A | 06/09/2024 |
| 14 | Dr. R Venkat | Publication | Improving K-Means Clustering Efficiency Using Mixed Integer Linear Programming | National | 2024410 60620 A | 23/08/2024 |
| 15 | Dr. R Venkat | Publication | Machine Learning Analysis of the Impact of Technostress on Student Learning and Academic Performance | National | 2024410 57139 A | 02/08/2024 |
| 16 | Dr. R Venkat | Publication | Next-Gen Agriculture: IOT, Cloud Computing, and AI For Detecting Plant Diseases | National | 2024410 58780 A | 09/08/2024 |
| 17 | Dr. R Venkat | Publication | Predicting HR Outcomes: The Role of Marketing and Machine Learning in Human Resource Management | National | 2024410 64133 A | 30/08/2024 |
| 18 | Dr. R Venkat | Publication | Automated Kidney Stone Detection in CT scans Using Machine Learning and Image Processing | National | 2024410 96415 A | 13/12/2024 |
| 19 | Dr. R Venkat | Publication | Integrating IOT, Blockchain, And AI for Enhanced Efficiency for Smart Home Automation | National | 2024410 98672 A | 20/12/2024 |
| 20 | Dr. R Venkat | Publication | Machine Learning-Driven Exploration of Bismuth-Based Double Perovskites for Electric Solar-Powered Vehicles | National | 2024411 00451 A | 03/01/2025 |
| 21 | M.R. Nagaraju | Publication | Detection and Classification of Skin Cancer Using Back-Propagated Artificial Neural Networks | National | 2025410 01293 | 17/01/2025 |
| 22 | Dr.Amjan Shaik | Publication | Hybrid Cooling System for Improved Thermal Management in High-Performance Engines | National | 2025410 04232 A | 24/01/2025 |
| 23 | Dr.Amjan Shaik | Publication | Real-Time Vibration Monitoring Sensor for Structural Health Assessment of Bridges | National | 2025410 04234 A | 24/01/2025 |
| 24 | Dr.Amjan Shaik | Publication | Privacy-Enhancing Technologies for Secure Data Sharing in Collaborative Research Environments | National | 2025410 04235 A | 24/01/2025 |
| 25 | Dr.Amjan Shaik | Publication | Quantum Computing-Assisted Encryption System for Securing Data in Real-Time Communication Networks | National | 2025410 04334 A | 24/01/2025 |
| 26 | Dr.Amjan Shaik | Publication | Adaptive Control System for Energy Optimizing Consumption in Robotics | National | 2025410 04955 A | 31/01/2025 |
| 27 | Dr.Amjan Shaik | Publication | Autonomous Drone Swarm System for Real-Time Aerial Surveillance and Data Collection | National | 2025410 04956 A | 31/01/2025 |
| 28 | Dr. Preethi Vennam | Publication | Smart Crop Production: IOT and ML Solutions for Environmental Sustainability and Climate Change Adaptation | National | 2024210 80015 A | 06/12/2024 |
| 29 | Dr. P. Deepan | Publication | Wearable Sensor with Artificial Intelligence for Prevention of falls in elderly People | National | 2024410 84794 | 15/11/2024 |
| 30 | Dr. K. Little Flower | Publication | Dynamic Resource allocation in cloud-based machine learning infrastructures using reinforcement learning | National | 2024410 72114 A | 4/10/2024 |
| 31 | Mr. K Naresh | Publication | Smart farming: machine Learning applications for soil crop and disease analysis | National | 2024410 92775 A | 06/12/2024 |
| 32 | Ms. Rajkumari N | Publication | Apparatus for real time detection and prevention of credit card fraud through machine learning and deep Learning invention | National | 2024410 84020 A | 15/11/2024 |
| 33 | Dr. P. Deepan | Publication | Al established smart mobility assistant for visually impaired people using deep learning techniques | National | 2024410 93686 A | 06/12/2024 |
| 34 | Mr. K Chiennaiah | Grant | Brain Haemorrhage detection device based on machine learning | International | 6391550 | 27/09/2024 |
| 35 | Mr. K Chiennaiah | Grant | AI based Electronic glove for women safety | International | 6389419 | 16/09/2024 |
| 36 | Mr. K Chiennaiah | Grant | Device to determine functioning of blood circulation | National | 4290650 01 | 02/09/2024 |
| 37 | Dr. P. Deepan | Publication | An IOT -Enabled deep learning model for Realtime Driver Drowsiness Detection & Intervention systems | National | 2024410 76101 A | 18/10/2024 |
| 38 | Dr.Amja n Shaik | Publication | Secure IoT Network Architecture for Industrial Automation and Control | National | 2024410 69712 A | 20-09-2024 |
| 39 | Dr.Amja n Shaik | Publication | Intelligent Deep Learning Model for Personalized Health care Diagnosis and Treatment Prediction | National | 2024410 69717 A | 20-09-2024 |
| 40 | Dr. P.V. Kishore | Publication | Integrated Smart Agriculture System Utilizing IoT and Data Analysis for Crop Monitoring | National | 2025410 04231 A | 24-01-2025 |
| 41 | C. Soumi | Publication | AI-Powered Autonomous Network Healing System for Resilient IoT Infrastructures | National | 2025410 04233 A | 24-01-2025 |
| 42 | P. Deepan | Publication | An AI-IoT Integrated Framework for Crowd Monitoring Systems and Queue Optimization in Temple Area | National | 2025410 02955 A | 31.01.2025 |
| 43 | S.Veerab adraia h | Publication | Privacy-Enhancing Technologies for Secure Data Sharing in Collaborative Research Environment | National | 2025410 04235 A | 24.01.2025 |
| 44 | V. Siva Prasad | Design Patent | IoT based Weather Monitoring Device | National | 434513 001 | 06.01.2025 |
| 45 | Mr. Chennai ah Kate | Design Patent | AI based Device for Measuring ASH value of Crude Drugs | National | 435371 001 | 06.01.2025 |
| 46 | Mr. Chennai ah Kate | Design Patent | IoT based Wearable Medical Health Monitoring Device | National | 435370 001 | 07.01.2025 |
Academic Year:2023-24
| S. No. | Name of the Faculty | Patent Publication /Grant | Title | National/ International | Application Number | Date of Publication /Grant |
|---|---|---|---|---|---|---|
| 1 | Mr. V Siva Prasad | Publication | IOT Uses a Machine Learning Approach Built on Block Sparse Coding for Accurate Device- Free Localization | National | 2024410 17146 A | 29/03/2024 |
| 2 | Mr. S Satya Nagendra Rao | Publication | AI and Machine Learning Based Approach for Predicting Shortest Path in Googlemap | National | 20232105 4448 | 14/08/2023 |
| 3 | Dr. Pragnya Poonia | Publication | Processor Scheduling Using a Contention Model in Cloud Environment | National | 2023410 36843 A | 16/06/2023 |
| 4 | Dr. P. Deepan | Publication | An Artificial Intelligence - IoT based Smart Poultry Farm Prototype for Indian Farming Sector | National | 20234104 1216 | 07/07/2023 |
| 5 | Dr. P. Deepan | Publication | An Intelligent Fish Tank Monitoring System using Internet of Things (IoT) | National | 20234105 2745 | 01/09/2023 |
| 6 | Dr. P. Deepan | Publication | An Integrated IoT and Deep Learning based Automated Real Time Pest Control System for Maize Crop | National | 20234105 2746 | 01/09/2023 |
| 7 | Dr. Amjan Shaik | Publication | Block Chain Technology for Enforcing the Payment Process in Banking | National | 2023410 56908 A | 29/12/2023 |
| 8 | Dr. P. Deepan | Publication | Sensing Crop Nutrition Health: Deep Learning with IoT for Optimal Nutrient Management and Crop Advisory | National | 20244100 4716 | 19/02/2024 |
| 9 | Dr. P. Deepan | Publication | Bridge Between Investors and Farmers using Advanced Centralized System | National | 20244101 1982 A | 08/03/2024 |
| 10 | Dr. Amjan Shaik | Design Grant | Cyber Security Enabled Medical Device | National | 392039-001 | 20-04-2024 |
| 11 | Dr. P. Deepan | Publication | Trash Talker: An Innovative Waste Management and Recycling System using IoT for Industry Sector | National | 2023410 62046 A | 06.10.2023 |
| 12 | Dr. P. Deepan | Publication | AI based Integrated Model for Generating Electricity through Non-Toxic Thermoelectric Ceramic Tiles | National | 2024410 3594 A | 17.05.2024 |
| 13 | Dr. P. Deepan | Publication | A Smart Wearable Integrating AI and IoT based Parent Banding System for Enhanced Parental Support | National | 2024410 53190 A | 19.07.2024 |
Academic Year:2022-23
| S. N. | Name of the Faculty | Patent Publication /Grant | Title | National/ Internati onal | Applicat ion Number | Date of Publication /Grant |
|---|---|---|---|---|---|---|
| 1 | Dr. Amjan Shaik | Publication | IoT based Heart Disease Prediction using Deep Neural Networks | National | 20224105 43114 A | 19-08-2022 |
| 2 | Dr. P. Deepan | Publication | An Artificial Intelligence-IoT based Smart Poultry Farm Prototype for Indian Farming Sector | National | 2023410 4126 A | 07.07.2023 |
Under Graduate Program
| S.No | Program | Total Intake |
| 1 | Computer Science and Engineering (CSE) | 420 |
Program Curriculum
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R & D Activities
Books/Book Chapters
| S.No | Academic Year | Download |
|---|---|---|
| 1 | 2024-25 | Download |
| 2 | 2023-24 | Download |
| 3 | 2022-23 | Download |
MOUs
| S.No | Academic Year | Number of MOUs | List |
|---|---|---|---|
| 1 | 2024-25 | 02 |
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| 2 | 2023-24 | 04 |
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| 3 | 2022-23 | 05 |
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E-Resources
Books/Book Chapters
| S.No | Academic Year | Download |
|---|---|---|
| 1 | 2024-25 | Download |
| 2 | 2023-24 | Download |
| 3 | 2022-23 | Download |
MOUs
| S.No | Academic Year | Number of MOUs | List |
|---|---|---|---|
| 1 | 2024-25 | 02 |
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| 2 | 2023-24 | 04 |
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| 3 | 2022-23 | 05 |
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Students Achievements
Students Participation in Events within the State (Inter Institute Events)
| S.No | Roll Number | Name of The Student | Name of the Event | Name of the Organization | Location | Date |
|---|---|---|---|---|---|---|
| 1 | 23BK1A0507 | Anand Shivam Burman Roy | IIC Regional Meet | IARE | Telangana | 11-12-2023 |
| 2 | 22BK1A05C9 | N. A. Jones | 12th IIC Regional Meet | IARE | Telangana | 11-12-2023 |
| 3 | 22BK1A05J5 | M Vikas | Project Expo | IARE | Telangana | 11-12-23 |
| 4 | 22BK1A0503 | A Sai Teja | Technical Workshop | JNTUH | Telangana | 08-03-2024 |
| 5 | 22BK5A0505 | G Abhiram | Data Analytics Workshop | JNTUH | Telangana | 08-03-2024 |
| 6 | 22BK1A0576 | J Merlyn Sunaina | Data Analytics Workshop | JNTUH | Telangana | 09-03-2024 |
| 7 | 22BK1A0576 | J Merlyn Sunaina | Cyber Security on Workshop | JNTUH | Telangana | 10-03-2024 |
| 8 | 22BK1A0583 | K Divya | Paper Presentation | MRCET | Telangana | 22-03-2024 |
| 9 | 22BK1A05J5 | M Vikas | Project Expo | MREM | Telangana | 24-03-2024 |
| 10 | 22BK1A05D8 | P Aneesh | Project Expo | MREM | Telangana | 24-03-2024 |
| 11 | 22BK1A05C9 | N Jones | Project Expo | MREM | Telangana | 24-03-2024 |
| 12 | 22BK1A05G6 | T Bhavana | Project Expo | MREM | Telangana | 24-03-2024 |
| 13 | 23BK1A05CB | Harshil Yacham | Communication Skills (Course) | TCS | Telangana | 25-04-2024 |
| 14 | 23BK1A05AL | Pavuluri Yoganand | Communication Skills (Course) | TCS | Telangana | 25-04-2024 |
| 15 | 23BK1A05CB | Harshil Yachan | Accenture, Data Analytic and Visualization | Forage | Telangana | 28-05-2024 |
| 16 | 23BK1A05AL | Pavuluri Yoganand | Redbull | Forge | Telangana | 28-05-2024 |
| 17 | 23BK1A05AA | M Pavan Kumar | Redbull | Forge | Telangana | 28-05-2024 |
| 18 | 23BK1A05Y4 | G. Sai Thilak | Redbull | Forge | Telangana | 28-05-2024 |
| 19 | 22BK5A0505 | G Abhiram | Webinar on Automation | Skill Ected | Telangana | 28-08-2024 |
| 20 | 22BK1A05H4 | V. Shambhavi | Vishesh-2K24 | MREC | Telangana | 27-28/09/2024 |
| 21 | 22BK1A05E9 | P. Sathwika | Vishesh-2K24 | MREC | Telangana | 27-28/09/2024 |
| 22 | 22BK1A05F6 | Shahina Mougli | Vishesh-2K24 | MREC | Telangana | 27-28/09/2024 |
| 23 | 22BK1A05D2 | Nisha U | Vishesh-2K24 | MREC | Telangana | 27-28/09/2024 |
| 24 | 22BK1A05E5 | T Prateek Reddy | Vishesh-2K24 | MREC | Telangana | 27-28/09/2024 |
| 25 | 22BK1A0503 | A Sai Teja | Online Hackathon | Chandigarh University | Telangana | 22-10-2024 |
| 26 | 23BK1A05AC | M. Sarala | Hackthon | BITS | Telangana | 09-11-2024 |
| 27 | 23BK1A05BP | T. Amulya | Hackthon | BITS | Telangana | 09-11-2024 |
| 28 | 22BK1A05H4 | V. Shambhavi | Zignasa-2K24 | MLRIT | Telangana | 05-06/12/2024 |
| 29 | 22BK1A05F6 | Shahina Mougli | Zignasa-2K24 | MLRIT | Telangana | 05-06/12/2024 |
| 30 | 22BK1A05F4 | S. Vishal | Zignasa-2K24 | MLRIT | Telangana | 05-06/12/2024 |
| 31 | 22BK1A0568 | G. Haritha | Zignasa-2K24 | MLRIT | Telangana | 05-06/12/2024 |
| 32 | 22BK1A0503 | A Sai Teja | Technical Quiz | Unstop | Telangana | 16-12-2024 |
| 33 | 22BK1A0597 | K. Prabhakar | UI/UX Workshop | NXTWAVE | Telangana | 22-12-2024 |
| 34 | 23BK1A05AU | Rahul Kumar | Java Database Connectivity | Udemy Scaler School | Telangana | 01-01-2025 |
| 35 | 23BK1A05BY | N. Vyshnavi | ARANI/DEBATE Hackthon | GNITS | Telangana | 20-01-2025 to 24-01-2025 |
| 36 | 23BK1A05Y3 | G. Kavya Sree | ARANI/DEBATE Hackthon | GNITS | Telangana | 20-01-2025 to 24-01-2025 |
| 37 | 23BK1A05BY | N. Vyshnavi | Film Festival | GNITS | Telangana | 23-01-2025 |
| 38 | 23BK1A05Y3 | G. Kavya Sree | Film Festival | GNITS | Telangana | 23-01-2025 |
| 39 | 22BK5A0505 | G Abhiram | CMR Hackfest-2.0 Hackthon | CMRIT | Telangana | 31-01-2025 to 01-02-2025 |
| 40 | 22BK1A0526 | B. Lavanya | Hackfest 2.0 | CMREC | Telangana | 31-01-2025 to 01-02-2025 |
| 41 | 22BK1A0531 | B. Ramya | Hackfest 2.0 | CMREC | Telangana | 31-01-2025 to 01-02-2025 |
| 42 | 22BK1A0553 | D. Swathi | Hackfest 2.0 | CMREC | Telangana | 31-01-2025 to 01-02-2025 |
| 43 | 22BK1A0523 | B Abhinaya | Hackfest 2.0 | CMREC | Telangana | 31-01-2025 to 01-02-2025 |
| 44 | 22BK1A05C9 | N. A. Jones (2nd Prize) | Techsphere | MREC | Telangana | 22-23/03/2025 |
Students Participation in Events Outside the State
| S.No | Roll Number | Name of The Student | Name of the Event | Name of the Organization | Location | Date |
|---|---|---|---|---|---|---|
| 1 | 22BK1A0585 | K Preetham | Smart India Hackthon 2K24 | VidyaVardaka college of Engineering (Mysore) | Karnataka | 11-12-12-2024 |
| 2 | 22BK1A0506 | A. Chareeshma | Smart India Hackthon 2K24 | VidyaVardaka college of Engineering (Mysore) | Karnataka | 11-12-12-2024 |
| 3 | 22BK1A05A7 | M Sai Teja | Smart India Hackthon 2K24 | VidyaVardaka college of Engineering (Mysore) | Karnataka | 11-12-12-2024 |
| 4 | 22BK1A05B9 | M. Harshan. K | Smart India Hackthon 2K24 | VidyaVardaka college of Engineering (Mysore) | Karnataka | 11-12-12-2024 |
| 5 | 22BK1A0574 | K. Jayanth | Smart India Hackthon 2K24 | VidyaVardaka college of Engineering (Mysore) | Karnataka | 11-12-12-2024 |
| 6 | 22BK1A05H4 | V Shambhavi | VISAI Hackthon | Vel Tech University | Tamilnadu | 22-25/02/2025 |
| 7 | 22BK1A05E9 | P Sathwika | VISAI Hackthon | Vel Tech University | Tamilnadu | 22-25/02/2025 |
| 8 | 23BK5A0519 | S Srikar | VISAI Hackthon | Vel Tech University | Tamilnadu | 22-25/02/2025 |
| 9 | 21BK1A0563 | G Lakshmi Anusha | VISAI Hackthon | Vel Tech University | Tamilnadu | 22-25/02/2025 |
| 10 | 21BK1A0569 | G Yagna Bharathi | VISAI Hackthon | Vel Tech University | Tamilnadu | 22-25/02/2025 |
Prizes/Award Received in Events
| S.No | Roll Number | Name of the Student | Name of the Event | Name of the Organization | Location | Date | Achievement |
|---|---|---|---|---|---|---|---|
| 1 | 23BK1A05BY | N. Vyshnavi | Basketball | Mahindra | Telangana | 13-02-2024 | 3rd Position |
| 2 | 22BK1A05J5 | M Vikas | Project Expo | MREM | Telangana | 24-03-2024 | 2nd Position |
| 3 | 22BK1A05D8 | P Aneesh | Project Expo | MREM | Telangana | 24-03-2024 | 2nd Position |
| 4 | 22BK1A05C9 | N Jones | Project Expo | MREM | Telangana | 24-03-2024 | 2nd Position |
| 5 | 22BK1A05G6 | T Bhavana | Project Expo | MREM | Telangana | 24-03-2024 | 2nd Position |
| 6 | 22BK1A0583 | K Divya | Ideathon 2.0 | GRIET | Telangana | 15-04-2024 | 1st Position |
| 7 | 22BK1A05C9 | N. A. Jones | Techsphere | MREC | Telangana | 22-23/03/2025 | 2nd Position |
Academic Year (2024-25)
| S. No. | Name of the Faculty | Title of the Paper | Journal Name | Vol, Issue, PP | ISBN/ ISSN No. | DOI |
|---|---|---|---|---|---|---|
| 1 | Begamvati Bhavana, S. Veerabh, V. Sujiva Prasad, C. Venuopal, A. Senthil Murugan | Agriculture Crop Recommendation System using Machine Learning | Shodhsamhita: Journal of Fundamental & Comparative Research | Vol. XI, Issue-II, Nov.‘24, pp.659–665 | ISSN: 2277-7067 | DOI Link |
| 2 | Gaddam Sathvika, Venkata Kishore Puli, Janapriya Naspuri, G. Prabhakar Reddy, S. Veerabhadrachari | Enhancing Traffic Sign Recognition Using Deep Learning Techniques: An Object Detection Approach | Shodhsamhita: Journal of Fundamental & Comparative Research | Vol. XI, Issue-II, Nov.‘24, pp.666–676 | ISSN: 2277-7067 | DOI Link |
| 3 | Chatla Spandana, P. Deepan, Mohd Arshad, Sujib Rama Krishnamurthi, G. Karunya Sai | Common Toxicity Detection Using Deep Learning | Shodhsamhita: Journal of Fundamental & Comparative Research | Vol. XI, Issue-II, Nov.‘24, pp.686–692 | ISSN: 2277-7067 | DOI Link |
| 4 | Kemburu Somidara, K. Rajkumarpandit, L. Shaik Sameer, V. Sai Kishore, A. S. V. Sai Lavanya | Music Generation using Recurrent Neural Network | Journal of Nonlinear Analysis and Optimization | Vol. 15, Issue 2, Dec.‘24 | ISSN: 1906-9685 | DOI Link |
| 5 | Chinnamvaya Raju, V. Sai Kishore, K. Little Flower, T. Saroj Reddy | Real-Time Driver Drowsiness Detection System using Fuzzy Logic and Landmark Analysis | Journal of Nonlinear Analysis and Optimization | Vol. 15, Issue 2, Dec.‘24 | ISSN: 1906-9685 | DOI Link |
Academic Year (2023-24)
| S. No. | Name of the Faculty | Title of the Paper | Journal Name | Vol, Issue, PP | ISBN/ISSN No. | DOI |
|---|---|---|---|---|---|---|
| 1 | Narusu Sujitha, Ch. Aswini, D. Haritha Reddy, Janapathi Nagaraju, G. Prabhakar Reddy | Modernizing loan approval: a data-driven approach to credit decisions | Journal of Nonlinear Analysis and Optimization | Vol. 14, Issue. 2 : 2023 | ISSN: 1906-9685 | Link |
| 2 | Saripalli Lohitha, Reshma. C, Vemulapool, V. Shiva Prasad, D. Sreekanth | Smile craft laboratory a dental lab application developed using MEAN stack | Journal of Nonlinear Analysis and Optimization | Vol. 14, Issue. 2 : 2023 | ISSN: 1906-9685 | Link |
| 3 | Neela Nikhita, R. Venkat, M. Dinesh Kumar, Mohd Arshad, Sujha Rama Krishnamma | Forecasting Diabetes Onset Using Machine Learning Techniques: A Comparative Analysis of Models | Journal of Fundamental & Comparative Research | Vol. X, Issue-II October 2023 | ISSN: 2277-7067 | Link |
| 4 | Mallepula Divulatha, Prema Popuri, Maseddy Gouthami, R. Sunil Gavaskar, M. Vijay Raju | Chronic kidney disease prediction using machine learning and python | Journal Of The Asiatic Society of Mumbai | Vol. XCVI, (Pt. 1), 2023 | ISSN: 0972-0766 | Link |
| 5 | Dr. Amjan Shaik, Bhavesh Bharadwaj, J. Ramesh Babu | Online Banking System Using Cloud Computing | Industrial Engineering Journal | Vol. 52 (6), p. 420-423, June: 2023 | ISSN: 0970-2555 | Link |
| 6 | Dr. Meera Alphy, YMR Gunadhar, J. Ramesh Babu, Amjan Shaik | Ensembling Deep Neural Networks for Multi-Class Plant Pathology Diagnosis | Industrial Engineering Journal | Vol. 52 (6), p. 430-434, June: 2023 | ISSN: 0970-2555 | Link |
| 7 | V. Vani, V. Sumanth Goud, Amjan Shaik, J. Ramesh Babu | Automatic Shadow Detection in Image Using Adaptive Threshold segmentation | Industrial Engineering Journal | Vol. 52 (6), p. 437-439, June: 2023 | ISSN: 0970-2555 | Link |
| 8 | Amandeep Kaur, V. Vishal, Amjan Shaik, J. Ramesh Babu | Backdoor Entrance to A Windows System | Industrial Engineering Journal | Vol. 52 (6), p. 438–441, June: 2023 | ISSN: 0970-2555 | Link |
| 9 | J. Ramesh Babu, Sivasrutha Tumati, Amjan Shaik | Weapon Recognition Using Images of Sword Patterns | Industrial Engineering Journal | Vol. 52 (6), p. 442–446, June: 2023 | ISSN: 0970-2555 | Link |
| 10 | Mrs. C. Sowjanya, L. Sujitha, Amjan Shaik, J. Ramesh Babu | Machine Learning Based Road Sign Recognition using CNN Algorithm | Industrial Engineering Journal | Vol. 52 (6), p. 470–476, June: 2023 | ISSN: 0970-2555 | Link |
| 11 | P. Teja, Amjan Shaik, Ramesh Babu J | Utilizing Heterogeneous Graph Transformer for unmasking fraud in Online Product Reviews | Industrial Engineering Journal | Vol. 52 (6), p. 525–530, June: 2023 | ISSN: 0970-2555 | Link |
Academic Year (2022-23)
| S. No. | Name of the Faculty | Title of the Paper | Journal Name | Vol., Issue, PP | ISBN/ ISSN No. | DOI |
|---|---|---|---|---|---|---|
| 1 | Dr Amjan Shaik, Kunduru Sai Asritha, Neelam Lahre, Bollu Joshua, Velagapudi Sri Harsha | Customer Loan Eligibility Prediction using Machine Learning | Journal of Algebraic Statistics | Vol. 13(2), 2022, p.2053-2062. | 1309-3452 | Customer Loan Eligibility Prediction using Machine Learning |
| 2 | G Prabhakar Reddy, Mohammed Afraaz, Amit Ranjan Bej, Y. Lokesh Kumar, Bandaru Chintha | Image Deblurring using Repeating Gradient Descent Model | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2043-2052 | 1309-3452 | View of Image Deblurring using Repeating Gradient Descent Model |
| 3 | G. Sudha, Thumma VidyaShiny, C. Ramesh Reddy, Shaik Irfan, K N Dhana Ranjan, I Vinod Kumar | Stock Price Prediction Using Machine Learning | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2080-2086 | 1309-3452 | View of Stock Price Prediction Using Machine Learning |
| 4 | Dr Amjan Shaik, Nitin Bisht, Vijay Kumar, Nihar Raghvendra, Rohit Gupta | Prediction of Stock Index Pattern via three-stage architecture of TICC, TPA-LSTM and Multivariate LSTM-FCNs | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2063-2079 | 1309-3452 | View Article |
| 5 | Dr. A. Anipajhan, Abdul Aziz Syed, Manasa Thagirinacha, Manasa Namala, Anusha Nayini | Plant Leaf Disease Detection Using Machine Learning | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2096-2104 | 1309-3452 | Plant Leaf Disease Detection Using Machine Learning |
| 6 | Kommireddi Madhavi, Guda Pravalika, Rathlavath Jaya, Sandeep Sharan Ganesh, Konda Gowtham | Music Recommendation System Based On Emotion Recognition | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2105-2112 | 1309-3452 | Music Recommendation System Based On Emotion Recognition |
| 7 | Md. Ilyas K., Santosh Kumar, K. Nandini, Md. Arief, M. Rishikesh, K. Kavya | Biometric Authentication for Cloud Services | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2132-2142 | 1309-3452 | Biometric Authentication for Cloud Services |
| 8 | Dr. A. Anjaiah, Yamsani Sowmya, Chaganti Kusumitha, Kushal Tirmale, Begari Aravind Kumar | Food Quality Auditing and Surveillance System by Using Internet of Things | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2124-2131 | 1309-3452 | Food Quality Auditing and Surveillance System by Using Internet of Things |
| 9 | Dr. Amjan Shaik, Puli Sai Laxmi, Fluri Anusree, Shaik Abbas, Sangem Rajesh, A. Teja | Forecast Bitcoin Price Prediction Using Time Series Analysis through Machine Learning | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2113-2123 | 1309-3452 | Forecast Bitcoin Price Prediction Using Time Series Analysis through Machine Learning |
| 10 | Dr. Anjaiah Adepu,Yedugani Akanksha, Dasari Gokul Pavan, Lakkarsu Aneesh Varma, Kethavath Devendher | Network Malware Detection for Cloud Infrastructure | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2151-2157 | 1309-3452 | Network Malware Detection for Cloud Infrastructure | JOURNAL OF ALGEBRAIC STATISTICS (publishoa.com) |
| 11 | Dr. A. Anjaiah, Padala Pushpa Lakshmi Latha Reddy, Varagala Keerthika, Nunavath Srikanth Nayak, Kathegari Rakesh | Automatic Number Plate Detection for Motorcyclists Riding Without Helmet | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2158-2165 | 1309-3452 | Automatic Number Plate Detection for Motorcyclists Riding Without Helmet |
| 12 | Dr. A. Anjaiah, Kareti Sai Naga Lokesh, Sethala Jayashree, Nethella Rakesh, Kammari Meghana | Smart Automatic Irrigation System for Cotton Crop Using IoT | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2166-2174 | 1309-3452 | Smart Automatic Irrigation System for Cotton Crop Using IoT |
| 13 | J. Sagar Babu, S. Rishitha Reddy, S. Archana, D. Sathwik, D. Sumanth Reddy, G. Ganesh | Spotting and Reporting Garbage in Urban Streets Using Mobile Edge Computing | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2183-2189 | 1309-3452 | Spotting and Reporting Garbage in Urban Streets Using Mobile Edge Computing |
| 14 | Shaik Mohammed Ilias, Javvaji Niharika, Gaddam Harshavardhan Reddy, Gopu Srujan | Prediction of Software Quality Using Machine Learning | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2175-2182 | 1309-3452 | Prediction of Software Quality Using Machine Learning |
| 15 | Dr. Anjaiah Adepu,Pedada Sirisha, Kashuvajjala Vikas, Thakur Vaishnavi Singh, Naresh Vajjala, M. Sriya Reddy | A Study of Blockchain Technology in Farmer’s Portal | Journal of Algebraic Statistics | Vol. 13(3), 2022, p.2035-2042 | 1309-3452 | A Study of Blockchain Technology in Farmer’s Portal | JOURNAL OF ALGEBRAIC STATISTICS (publishoa.com) |
| 16 | Chirag Samal, Stephen Siril J, Patha Vandana, Bommapalla Manoj, G. Prabhakar Reddy | A I Virtual Mouse (using Hand Gestures and Deep Learning) | International Journal of Early Childhood Special Education (INT-JECSE) | Vol 14(5), 2022, p.1519-1526 | ISSN: 1308-5581 | DOI: 10.9756/INTJECSE/V1415.153 |
| 17 | Mr. G. Prabhakar Reddy, Sujku Keerthi Reddy, Konda Ashrith Reddy, B.S. Kavya, M. Sai Sankeerth, B. Pavan Kumar | Systematic Analysis of Healthcare using Blockchain and Machine Learning | International Journal of Early Childhood Special Education (INT-JECSE) | Vol 14(5), 2022, p.1536-1545 | ISSN: 1308-5581 | DOI: 10.9756/INTJECSE/V1415.155 |
| 18 | Dr. A. Anjaiah, K. Krishna Chaitanya, NVLN Ramakrishna, Thota Bhavani | Prediction of Graduate Admission using Machine Learning | International Journal of Early Childhood Special Education (INT-JECSE) | Vol. 14, 2022, p.1583-1590 | E-ISSN: 1308-5581 | DOI: 10.9756/INTJECSE/V1415.160 |
| 19 | Mrs. G. Sudha Reddy, S. Lavanya, Shaik Subhani Siddiqua, K. Sai Manikanta, B. Dileep Kumar | Missing Children Identification using Deep Learning | International Journal of Early Childhood Special Education (INT-JECSE) | Vol. 14, 2022, p.1591-1603 | E-ISSN: 1308-5581 | DOI: 10.9756/INTJECSE/V1415.161 |
| 20 | Mr. Gangi Reddy Prabhakar, Kalpana Kumari, Nayini Sai Chethan Reddy, Keerthi Tejaswini, M. Sai Kumar | Pandemic Impact of Financial Prediction using Hierarchical Cluster Analysis and Boosted Random Forest | International Journal of Early Childhood Special Education (INT-JECSE) | Vol. 14, 2022, p.1401-1408 | E-ISSN: 1308-5581 | DOI: 10.9756/INTJECSE/V1415.138 |
| 21 | V. Reshma, Chatla Deekshitha, Gangarapu Keerthi, Buddala Anitha Joy, Kanukuntla Chakravarthy | Behavior Analysis For Mentally Affected People Through Face Emotion Detection | International Journal of Early Childhood Special Education (INT-JECSE) | Vol. 14, 2022, p.1418–1426 | E-ISSN: 1308-5581 | DOI: 10.9756/INTJECSE/V1416.140 |
| 22 | Dr. Amjan Shaik, Karthi Rayala, Ravi Rahul Kosuru, Divya Solanke | Agriculture-Crop Recommendation System based on Productivity and Season | International Journal of Early Childhood Special Education (INT-JECSE) | Vol. 14, 2022, p.1409–1417 | E-ISSN: 1308-5581 | DOI: 10.9756/INTJECSE/V1416.139 |
| 23 | Mr. Siva Prasad, Sirikonda Mounika, Mula Vaishnavi, Mosalakanti Krishna Vamsi, Ure Shrujipachava Damodhar | Drug Recommended System based on Sentimental Analysis of Drug Reviews using Machine Learning | International Journal of Early Childhood Special Education (INT-JECSE) | Vol. 14, 2022, p.1427–1443 | E-ISSN: 1308-5581 | DOI: 10.9756/INTJECSE/V1416.141 |
| 24 | Dr. Anjaiah Adepu, Lakshmi Manaswini, Gade Sindhuja, Bavikadi Hemant h Maddie | Hand Gesture Recognition Using Media Pipe and Convolutional Neural Network | International Journal of Early Childhood Special Education (INT-JECSE) | Vol. 14, 2022, p.1341–1351 | E-ISSN: 1308-5581 | DOI: 10.9756/INTJECSE/V1416.133 |
| 25 | Amandeep Kaur, Ananth Akash G, Divya Methari Rajesh, Mantha Avinash | Detecting Fake News with Python and Machine Learning Approaches (Based on Text) | NeuroQuantology | Vol. 20(9), 2022, p.805–813 | ISSN: 1303-5150 | DOI: 10.14704/nq.2022.20.7.NQ33101 |
| 26 | Amjan Shaik, Ayush Jain, Suryaprakash Reddy, Gunnala Tarunath, Raja Shekar | AI & COVID-19: Deep Learning Approaches for 820 Diagnosis and Treatment | NeuroQuantology | Vol. 20(9), 2022, p.820–827 | ISSN: 1303-5150 | DOI: 10.14704/nq.2022.20.7.NQ33103 |
| 27 | Dr. Anjaiah Adepu, Nuthula Swetha, Gaggara Pavan Kumar, Bandlamudi Sandeep, Akula SaiPrasad | Classification Algorithms based Mental Health Prediction using Data Mining | NeuroQuantology | Vol. 20(9), 2022, p.828–833 | ISSN: 1303-5150 | 10.14704/nq.2022.20.7.NQ33104 |
| 28 | Mr. Gangereddy Prabhakar Reddy, Dubattiva Vaishali, Chandupatla Sandeep, Yendamuri Gokulesh, Waghmare Mahipal | Suspicious Activity Detection | NeuroQuantology | Vol. 20(9), 2022, p.834–840 | ISSN: 1303-5150 | 10.14704/nq.2022.20.7.NQ33105 |
| 29 | D. Harith Reddy, Thummaiahgari Pranay, Waldodde Sakshi, Cheekutthi Adithya, Devuuri Aravind | Remote Health Monitoring System For Indian Based Scenario Using IOT | NeuroQuantology | Vol. 20(9), 2022, p.841–848 | ISSN: 1303-5150 | 10.14704/nq.2022.20.7.NQ33106 |
| 30 | Dr. A. Anjaiah, V. Sravya, E. Vikas Reddy, K. Vidya, B. V. R. Ankit | Health Disease Prediction based on Symptoms using Machine Learning | NeuroQuantology | Vol. 20(9), 2022, p.849–856 | ISSN: 1303-5150 | 10.14704/nq.2022.20.7.NQ33107 |
| 31 | Amandeep, Sabbithi Keerthi, Alladi Divya, Velluri Sudheer, Bandari Subhash | Life Style Disease Prediction | NeuroQuantology | Vol. 20(9), 2022, p.857–862 | ISSN: 1303-5150 | 10.14704/nq.2022.20.7.NQ33108 |
| 32 | Amjan Shaik, Ganduri Sameer, Medarametla Pratima Chowdary, Majji Tarun, Erugu Sai Praneeth | DNA ANALYSIS TO PREDICT GENETIC DISEASES USING AI AND ML | NeuroQuantology | Vol. 20(9), 2022, p.863–869 | ISSN: 1303-5150 | DOI: 10.14704/nq.2022.20.7.NQ33109 |
| 33 | Dr. Anjaiah Adepu, Aanchal Jain, Beathnabotla, Girish Naidu B, Gopu Rishitha | Heart Failure Detection using Sound Signals | NeuroQuantology | Vol. 20 (9), 2022 p. 870 - 878 | ISSN: 1303-5150 | DOI: 10.14704/nq.2022.20.7.NQ33110 |
Content for Tab 3
This is the third tab’s content.
Faculty Innovations
Online Content Development
E-Resources
Projects
Roll of Honour
Academic Year: 2023
Academic Year: 2022
Academic Year: 2021
Academic Year: 2020
Academic Year: 2019
Academic Year: 2018
Professional societies/chapters and organizing engineering events
OBE
CO - PO Mapping A.Y-2022-23
CO - PO Mapping A.Y-2021-22
CO - PO Mapping A.Y-2020-21
CO - PO Mapping A.Y-2019-20
CO - PO Mapping A.Y-2018-19
Placements
| S.No | Academic Year | No. of Companies Visited | No. of Students Placed |
| 1 | 2023-24 | 26 | 119 |
| 2 | 2022-23 | 33 | 120 |
| 3 | 2021-22 | 29 | 125 |
Newsletter
About the Department
The Department of Computer Science and Engineering was established in 2007 and offers an undergraduate program identified as B.Tech in CSE. Initially, the department admitted 60 students, but this number was later raised to 90 in 2009, 180 in 2012, 360 in 2023, and 420 in 2024. The UG-CSE program is accredited by NBA in 2016, 2019, and 2022, and it is valid until 30 June 2025.
Faculty members of the department are extremely knowledgeable and talented. They impart their expertise in a variety of UG program courses because of their varied backgrounds in computer science and engineering. In order to enhance students’ practical skills, the department keeps firm relationships with numerous industries.
MOUs are inked with industries in Hyderabad, Bangalore, and Chennai to foster industry-institution interaction. Through this contact, staffs and students participate in real-world initiatives, plan industrial trips, and receive training and internship possibilities. The students’ success rate has above 90% throughout the past three years.
Laboratories are spacious and well-equipped with advanced configuration technologies. The ratio of students to computers is maintained at 1:4. New experiments are conducted in each lab to provide the students great and impactful practical experience.
Vision
To be a global leader in Computer Science Education, Research and Development, Innovation through industry collaboration and cultivating future-ready technologists.
Mission
DM 1: Cultivate experiential learning through state-of-the-art technologies and algorithms to address real-world interdisciplinary challenges.
DM 2: Collaborate with industry and academia to equip students with cutting-edge skills and prepare them for dynamic careers.
DM 3: Strengthen theoretical and applied research in Computer Science & Engineering, fostering innovation, impactful contributions, and instilling ethical values and social responsibility in all endeavors.
Program Educational Objectives
PEO 1: Innovate and contribute to research, driving technological advancements in industry and society.
PEO 2: Excel as leaders in software development, ensuring industry and government excellence.
PEO 3: Lead entrepreneurial ventures, fostering growth in computer science-driven technologies at national and global levels.
Program Outcomes
PO: 1 ENGINEERING KNOWLEDGE: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO: 2 PROBLEM ANALYSIS: Identity, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using the first principles of mathematics, natural sciences, and engineering sciences.
PO: 3 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 public health and safety, and cultural, societal, and environmental considerations.
PO: 4 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.
PO: 5 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.
PO: 6 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.
PO: 7 ENVIRONMENT AND SUSTAINABILITY: Understand the impact of professional engineering solutions in societal and environmental contexts, demonstrate the knowledge of, and need for sustainable development.
PO: 8 ETHICS: Apply ethical principles and commit to professional ethics, responsibilities, and norms of the engineering practice.
PO: 9 INDIVIDUAL AND TEAM WORK: Function effectively as an individual, and as a member or leader in diverse teams, and multidisciplinary settings.
PO: 10 COMMUNICATION: Communicate effectively on complex engineering activities with the engineering community and with society, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
PO: 11 PROJECT MANAGEMENT AND FINANCE: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
PO: 12 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.
Program Specific Outcomes
PSO-1 Design and develop computing subsystems for data storage, communication, information processing, and knowledge discovery.
PSO-2 Design algorithms for real-world problems, focusing on execution and complexity analysis while considering security, cost, quality, and privacy parameters in software development.
Under Graduate Program
| S.No | Program | Total Intake |
| 1 | Computer Science and Engineering (CSE) | 420 |
NBA Accreditation of Computer Science and Engineering
B.Tech Program
The details of the NBA accreditation status and the programs accredited are as follows:
Program Curriculum
Faculty Profiles
E-Resources
Projects
R & D Activities
MOUs
| S.No | Academic Year | Number of MOUs | List |
|---|---|---|---|
| 1 | 2024-25 | 02 |
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| 2 | 2023-24 | 04 |
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| 3 | 2022-23 | 05 |
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Roll of Honour
Placements
Newsletter
Head of Department
Computer Science and Engineering
Overview and Program Outcomes
The field of Computer Science and Engineering (CSE) has been pushing the envelope of almost all other disciplines, which use computing as a fundamental means of inquiry and tool for discovery. CSE offers exciting, intellectually challenging, and rapidly growing career opportunities. It is the least of where the action is, whether this means intelligent game playing, mobile applications, smart robots, cloud computing, data security, social networks, or bioinformatics. The fast-changing technological scenario poses to the institute, a challenge of continuously updating its curriculum and faculty, to be able to provide state-of-the-art education and technology to the students. Changes, both major and subtle, have been made by the department of CSE to be well-prepared for a better tomorrow. The department of CSE was established in 2007 with an intake of 60, enhanced to 120 in 2009 and further to 180 in the year 2012, besides an additional 36 seats under the lateral entry scheme.
Computer Science and Engineering have two primary processes:
- Computer Hardware Design which includes an understanding of Design Methodologies for Electronic circuits, digital systems, and computer architecture of integrated circuits.
- Computer software design which includes an understanding of design methodologies for programming, algorithms of data structures, operating systems, large-scale software development & the principles of computing as a wide variety of software applications across various computer languages.
The teaching-learning process is given at most priority in the pursuit of improving the quality of technical education. Innovative teaching aids and methodologies are used by the department toward this goal. The efficiency of the Teaching-Learning process is reflected in the consistently excellent results being achieved every year.
The department has been striving hard to inculcate conceptual and technical skills in students through a scientific teaching methodology based on lectures, case studies, seminars, group discussions, project works, assignments, quiz programs, coding clubs, etc. The systematic and well-planned approach to problem-solving is emphasized in the classrooms and laboratories through course projects and additional computer training beyond the scope of the syllabus. Teaching aids such as LCD Projector, OHP, CD demos, equipment demonstrations, models, charts, etc are regularly used to enhance better understanding.
The department has modern laboratories and is also well-equipped with LCD projectors in each lab to serve the teaching and research needs of the student and faculty. All systems are connected to the department LAN through fiber optic which is a part of the Institute-wide area network.
The CSE department exclusively holds a Library for UG course. The department takes an active role in arranging expert lectures from Industry, Guest Lectures through eminent faculty from external colleges, and Industrial Visits for the benefit of students. Students are encouraged to take up Industry Oriented projects. The students are highly motivated towards research to build up various projects using upcoming technologies. Besides these students are also motivated to present papers in various publications, journals, seminars, etc.
The department organizes student counseling by the members of the faculty to monitor regularity and discipline among students. A disciplinary committee comprising the senior faculty is constituted for maintaining discipline and the dress code of the students. The department consists of a First and Second person under HOD to take care of the overall activity, discipline, etc of the department.
Vision and Mission
- To be a vibrant nodal center for Computer Science & Engineering Education, Research that makes the students contribute to technologies for IT, IT-Enabled Services; to involve in innovative research on thrust areas of industry and academia; to establish start-ups supporting major players in the industry.
- DM1: Emphasize project-based learning by employing state-of-art technologies, and algorithms in software development for the problems in interdisciplinary avenues.
- DM2: Involve stakeholders to make the students industry ready with training in skill-oriented computer application software.
- DM3: Facilitate learning the theoretical nuances of Computer Science, and Computer Engineering courses and motivate to carry out research in both core and applied areas of CSE.
PEO's , PO's and PSO's
- PEO 1: Graduates shall involve in research & development activities in industry and government arenas to conceive useful products for society.
- PEO 2: Graduates shall be entrepreneurs contributing to national development in the fields of Computer Science based technologies.
- PEO 3: Graduates shall be team leaders working for software development, and maintenance in the fields of the software industry and government agencies
- PO: 1 ENGINEERING KNOWLEDGE: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- PO: 2 PROBLEM ANALYSIS: Identity, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using the first principles of mathematics, natural sciences, and engineering sciences.
- PO: 3 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 public health and safety, and cultural, societal, and environmental considerations.
- PO: 4 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.
- PO: 5 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.
- PO: 6 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.
- PO: 7 ENVIRONMENT AND SUSTAINABILITY: Understand the impact of professional engineering solutions in societal and environmental contexts, demonstrate the knowledge of, and need for sustainable development.
- PO: 8 ETHICS: Apply ethical principles and commit to professional ethics, responsibilities, and norms of the engineering practice.
- PO: 9 INDIVIDUAL AND TEAM WORK: Function effectively as an individual, and as a member or leader in diverse teams, and multidisciplinary settings.
- PO: 10 COMMUNICATION: Communicate effectively on complex engineering activities with the engineering community and with society, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
- PO: 11 PROJECT MANAGEMENT AND FINANCE: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
- PO: 12 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-1 Design and develop computing subsystems for data storage, communication, information processing, and knowledge discovery.
- PSO-2 Design algorithms for real-world problems focusing on execution, and complexity analysis considering the security, cost, quality, and privacy parameters in software development.
Faculty Details
Courses
Syllabus
E-Resources
Projects
Research and Development
Events
Academic Excellence
Infrastructure
Academic Facilities
OBE
CO - PO Mapping A.Y-2022-23
CO - PO Mapping A.Y-2021-22
CO - PO Mapping A.Y-2020-21
CO - PO Mapping A.Y-2019-20
CO - PO Mapping A.Y-2018-19
Newsletter
Supportive Faculty & Industry Exposure
“The faculty at St. Peter’s Engineering College is incredibly supportive, guiding us not only in academics but also in career planning. Regular industry interactions, workshops, and internships helped me gain real-world experience and prepare for my future.”
Vibrant Campus Life & Extracurricular Activities
“Beyond academics, St. Peter’s Engineering College offers a vibrant campus life. From technical fests to cultural events, every student gets a chance to showcase their talents. The college truly believes in all-round development.”
Excellence in Academics & Infrastructure
“St. Peter’s Engineering College provides the perfect blend of academic excellence and state-of-the-art infrastructure. The faculty is highly knowledgeable, always encouraging students to explore beyond textbooks. The campus facilities, from well-equipped labs to a vast library, make learning an enjoyable experience.”
