About the Department
Artificial Intelligence is a large multidisciplinary field
encompassing Computer Science, Deep Learning, Cognitive Science, Linguistics,
Statistics, Applied Mathematics, and many other areas of study. The B.Tech. CSE
(Artificial Intelligence) program is an emerging discipline that was introduced
in the academic year 2020–21. The department's teaching approach goes beyond
the university-prescribed syllabus to meet the evolving demands of modern
industry.
The department is equipped with state-of-the-art facilities and
well-established laboratories that meet industry standards. All laboratories are
spacious, well-equipped, and maintained with a 1:1 student-to-equipment ratio,
ensuring effective hands-on learning and practical exposure for students.
Vision & Mission
Vision
"To build an ecosystem to contribute to society by producing leaders in Artificial Intelligence through quality education."
Mission
- Train the students in the state-of-the-art technologies of AI.
- Sensitize students to solve societal issues through AI techniques by inculcating values and ethics.
- Enhance employability and entrepreneurial skills in the field of AI through experiential and self-directed learning.
Program Assessment Committee (PAC)
| SNO | Name | Designation | Address |
|---|---|---|---|
| 1 | Dr. Y. Hari Prasada Reddy | Chairman | Principal |
| 2 | Dr.M.Subba Reddy | Convener | HOD |
| 3 | Mr. K. Alluraiah | Member | Senior Faculty |
| 4 | Dr.V.Lokeswara Reddy | Member | Professor, KSRM |
| 5 | Chandra Sekhar Reddy Mandli | Member | Technical Leader, Wipro |
Program Outcomes (POs), PEOs & PSOs
Program Outcomes (POs)
| PO No | Graduate Attribute | PO Statement |
|---|---|---|
| 1 | Engineering Knowledge | Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex Engineering problems. |
| 2 | 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. |
| 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 the public health and safety, and the cultural, societal, and environmental considerations. |
| 4 | Conduct Investigations of Complex Problems | Ability to review research literature, use research methods to execute project and synthesize the problem to provide valid conclusions. |
| 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. |
| 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. |
| 7 | 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. |
| 8 | Ethics | Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. |
| 9 | Individual and team work | Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. |
| 10 | 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. |
| 11 | 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. |
| 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 Educational Objectives (PEOs)
| PEO No | Statement |
|---|---|
| PEO1 | Graduates will be capable of adapting to new technologies and systems, making contributions, and innovating in the key domains of artificial intelligence. |
| PEO2 | Graduates will be ethically and socially responsible solution providers and entrepreneurs in the field of Computer Science and Engineering with AI Specialization. |
| PEO3 | Graduates will be able to successfully pursue higher education in AI Specialization. |
Program Specific Outcomes (PSOs)
| PSO No | Statement |
|---|---|
| PSO1 | Build skills to develop software applications in specialized areas of Artificial Intelligence and Machine Learning. |
| PSO2 | Apply the various AI and ML techniques for industrial applications in the areas of Deep Learning, Cloud Computing, Natural Language Processing, and emerging areas. |
Board of Studies (BoS)
| S.No | Name | Designation |
|---|---|---|
| 1 | Dr. M. Subba Reddy, Associate Professor, SVR Engineering College, Nandyal. |
BOS Chairman |
| 2 | Dr. A. Suresh Babu, Professor, Dept. of CSE, JNTUA, Ananthapuramu. |
University Nominee |
| 3 | Prof. Dr. R. B. V. Subramanyam, Professor Department of CSE, NIT Warangal. |
Academic Expert |
| 4 | Prof. Dr. C. Naga Raju, Professor, Department of CSE, YSR Engineering College of Yogi Vemana University, Proddutur. |
Academic Expert |
| 5 | M. Manohar, Associate Manager Accenture, Hyderabad, Telangana 500032 |
Industry Expert |
| 6 | Bhajantri Madhava Suresh, Senior Project Engineer. Wipro Limited, Hyderabad, Telangana 500032. |
Alumni |
Programs Offered
B.Tech-CSE(AI)
Intake: 180 seats
Academic Regulations: R23, R24, R26
HOD's Message
"As the Head of the Department, I take great pride in witnessing the remarkable achievements and contributions of our dedicated faculty and students in the field of Artificial Intelligence. Their commitment to academic excellence, innovation, and research continues to strengthen the department's reputation and drive its growth. We strive to provide a dynamic learning environment that fosters creativity, critical thinking, and technological advancement, preparing our students to meet the challenges of the rapidly evolving AI industry."
Our Faculty
| S.NO | Name | Designation | Qualification |
|---|---|---|---|
|
1 |
Dr. SUBBAREDDY MERUVA |
ASSOCIATE PROFESSOR |
Ph.D. |
|
2 |
Dr MUNI SANKAR D |
PROFESSOR |
Ph.D. |
|
3 |
Dr. PRABHAKARAN N |
ASSOCIATE PROFESSOR |
Ph.D. |
|
4 |
Dr RAGHU C |
ASSOCIATE PROFESSOR |
Ph.D. |
|
5 |
Dr. NARENDER KUMAR J |
PROFESSOR |
Ph.D. |
|
6 |
Dr. MADHURI G |
ASSOCIATE PROFESSOR |
Ph.D. |
|
7 |
Dr. NELLEPALLI VASANTHAKUMAR |
PROFESSOR |
Ph.D. |
|
8 |
Mr. SHAIK ASADULLA |
ASSISTANT PROFESSOR |
M.Tech |
|
9 |
Mrs. NARLA PRASANNA LAKSHMI |
ASSISTANT PROFESSOR |
M.Tech |
|
10 |
Mr. YENDURI MANOJ KUMAR |
ASSISTANT PROFESSOR |
M.Tech |
|
11 |
Mr. KUMMARI ALLURAIAH |
ASSOCIATE PROFESSOR |
M.Tech |
|
12 |
Mr. B JOSEPH HUDSON |
ASSISTANT PROFESSOR |
M.Tech |
|
13 |
Ms. KARUNA VALISAMMAGARI |
ASSISTANT PROFESSOR |
M.Tech |
|
14 |
Ms VEMULAPATI VASANTHI |
ASSISTANT PROFESSOR |
M.Tech |
|
15 |
Mr. BOLLAVARAM KIRAN BABU |
ASSISTANT PROFESSOR |
M.Tech |
|
16 |
Mrs. K MANIKYAMMA |
ASSISTANT PROFESSOR |
M.Tech |
|
17 |
Mr. PULA SEKHAR |
ASSISTANT PROFESSOR |
M.Tech |
|
18 |
Miss MUDIYAM SIVANI |
ASSISTANT PROFESSOR |
M.Tech |
|
19 |
Mr. AKUMALLA HARIPRASAD REDDY |
ASSISTANT PROFESSOR |
M.Tech |
|
20 |
Mr. MANDLA RAMACHANDRUDU |
ASSISTANT PROFESSOR |
M.Tech |
|
21 |
Mr. SHAIK MAHABOOB BASHA |
ASSISTANT PROFESSOR |
M.Tech |
|
22 |
Mr. SUDHAKAR RAMAYANAM |
ASSISTANT PROFESSOR |
M.Tech |
|
23 |
Mr. RAMAKRISHNA REDDY BIJJAM |
ASSISTANT PROFESSOR |
M.Tech |
CSE (Artificial Intelligence) Labs
The Department consists of three laboratories and Internet facility with 15 Mbps bandwidth. These computer labs are used to enhance programming ability in various languages and packages.
Machine Learning Lab
Total No. of Systems:72
SYSTEM CONFIGURATION
- Intel Core i5 Processor (8th Generation)
- 256 GB SSD + 500 GB HDD
- 8 GB RAM
- 23" LED Monitor
Data Science Lab
Total No. of Systems:72
SYSTEM CONFIGURATION
- Intel Core i5-13420H Processor
- 512 GB PCIe Gen 4 SSD
- 8 GB RAM
- ASUS 22" IPS Monitor
Curriculum Labs:
Research Publications
AY (2022-2023)
- Mr K.ALLURAIAH, "DETECTION OF NON HELMET RIDERS AND EXTRACTION OF LICENSE PLATE NUMBER USING YOLO V2 AND OCR METHOD”, JES Vol 14 Issue 04, 2023.
- Mrs V KARUNA, "DATA ANALYSIS BY WEB SCRAPING USING PYTHON”, Industrial Engineering Journal Volume 52, Issue 4, April 2023.
- Mrs V KARUNA, "INTELLIGENT VIDEO SURVELLENCE USING DEEPLEARNING”, Industrial Engineering Journal Volume 52, Issue 4, April 2023.
AY (2021-2022)
- Mrs A.SWETHA, "CRYPTOCURRENCY PRICE ANALYSIS WITH ARTIFICIAL INTELLIGENCE”, Journal of MSU Baroda, Jan 2022.
- Mr B.RAMASUBBAIAH, "MACHINE LEARNING FOR WEB VULNERABILITY DETECTION”, Journal of Fundamental & Comparative Research, June-July 2022.
NPTEL Achievements
Mentors List
Mentoring Overview
Each mentor is assigned with 15 students. Students are mentored at regular intervals twice in a semester. Parents are informed about attendance and marks via SMS.
15
Mentors15
Students/Mentor2/Sem
Frequency| Year | Mentor Name | Roll Numbers | Count |
|---|---|---|---|
| IV-CSE(AI) | Mr.B.RAMA SUBBAIAH | 20AM1A3101-20AM1A3116 | 15 |
| III-CSE(AI) | Mr.T.MAHAMMAD SHARIEF | 21AM1A3101-21AM1A3116 | 15 |
| II-CSE(AI) | Mrs.K.MANIKYAMMA | 22AM1A3101-22AM1A3115 | 15 |
Department Events Calendar
SEMESTER WISE LECTURER NOTES
FIRST YEAR (R24 Regulation)
| Semester-I | Semester-II | ||||
|---|---|---|---|---|---|
| S.NO | Course Code | Course Name | S.NO | Course Code | Course Name |
| 1 | 24CS1001 | Introduction to Programming | 1 | 24CS2001 | Data Structures |
| 2 | 24CS1002/24CS2002 | IT Workshop | 2 | 24CS2003 | Data Structures Lab |
| 3 | 24CS1003 | Computer Programming Lab | |||
SECOND YEAR (R24 Regulation)
| Semester-I | Semester-II | ||||
|---|---|---|---|---|---|
| S.NO | Course Code | Course Name | S.NO | Course Code | Course Name |
| 1 | 24AI3001 | Artificial Intelligence | 1 | 24AI4001 | Machine Learning |
| 2 | 24CS3001 | Advanced Data Structures & Algorithms Analysis | 2 | 24CS4002 | Database Management Systems |
| 3 | 24CS3002 | Object-Oriented Programming Through JAVA | 3 | 24AI4002 | AI & ML Lab |
| 4 | 24CS3003 | Advanced Data Structures and Algorithms Analysis Lab | 4 | 24CS4005 | Database Management Systems Lab |
| 5 | 24CS3004 | Object-Oriented Programming Through JAVA Lab | 5 | 24CS4006 | Full Stack Development-1 |
| 6 | 24CS3005 | Python Programming | |||
THIRD YEAR (R24 Regulation)
| Semester-I | Semester-II | ||||
|---|---|---|---|---|---|
| S.NO | Course Code | Course Name | S.NO | Course Code | Course Name |
| 1 | 24AI5001 | Natural Language Processing | 1 | 24AI6001 | Cloud Computing for AI |
| 2 | 24AI5002 | System Software Programming | 2 | 24AI6002 | Big Data Analytics & AI Applications |
| 3 | 24AI5003 | Computer Vision & Image Processing | 3 | 24AI6003 | Full Stack AI Development |
| 4 | 24CS5003 | Introduction To Quantum Technologies and Applications | 4 | 24AI6006 | Blockchain for AI |
| 5 | 24AI5005 | Exploratory Data Analysis with Python | 5 | 24AI6007 | AI for Finance |
| 6 | 24AI5007 | Computer Vision & NLP Lab | 6 | 24AI6010 | Big Data & Cloud Computing Lab |
| 7 | 24AI5008 | AI & System Programming Lab | 7 | 24AI6011 | Full Stack AI Lab |
| 8 | 24CS5012 | Skill Enhancement Course (Full Stack Development-II) | |||
FINAL YEAR (R24 Regulation)
| Semester-I | Semester-II | ||||
|---|---|---|---|---|---|
| S.NO | Course Code | Course Name | S.NO | Course Code | Course Name |
| 1 | 24AI7001 | Generative AI & Prompt Engineering | |||
| 2 | 24AI7002 | Explainable AI & Model Interpretability | |||
| 3 | 24AI7009 | Healthcare AI | |||
| 4 | 24CS7009 | Skill Enhancement Course Prompt Engineering | |||