About Department

The Department of Computer Science and Engineering(Artificial Intelligence & Machine Learning) was established in the year of 2020,with excellent laboratory facilities and dedicated facultywith an annual intake of 120 students. The Department’s main objective is not only make the students excel in theory but also in experimental research through academic projects in various fields.

Artificial intelligence and Machine Learning will impact all segments of daily life by 2025, with applications in a wide range of industries such as healthcare, transportation, insurance, transport and logistics, and customer service. A role in this domain places you on the path to an exciting, evolving career that is predicted to grow sharply into 2025 and beyond.

What you achieve through AI & ML

*Develop expertise in popular AI & ML technologies and problem-solving methodologies

*Develop expertise in popular AI & ML technologies and problem-solving methodologies

*Learn to use popular AI & ML technologies like Python, Tensorflow, Jupiter Notebook etc., to develop applications

Skills Gained

The world has been evolving rapidly with technological advancements, so the demand for AI &ML engineers is also Increasing.

• Intelligent thinking

• Applied Math and algorithms

• Neural Network architectures

• Programming Languages

• Linear Algebra, Calculus & statistics

• Signal processing techniques


To acknowledge quality education and instill high patterns of discipline making the students technologically superior and ethically strong which involves the improvement in the quality of life in human race.


To prepare Computer Science and Engineering graduates to be a lifelong learner with competence in basic science & engineering and professional core, multidisciplinary areas, with continuous update of the syllabus, so that they can succeed in industry as an individual and as a team or to pursue higher studies or to become an entrepreneur.


Dr. N. Chandra Mouli

Assoc.Professor &HOD

Mobile: +91 – 9849750204


It is a great privilege for me to be part of the Vaageswari College of Engineering. Welcome all the students & their parents to the Department of Computer Science and Engineering. Department of Computer Science & Engineering commits to work towards developing Engineers with a rich blend of competent, technical, managerial and social skills and contribute to nation building. Our Department has produced hundreds of professionals and has established a name for itself in the country and abroad. To meet the objectives, department focus special emphasis on teaching and hands on practical work. The excellent infrastructure, teaching faculty of the best kind of the Department ensuring quality education such as interaction among students, parents and staff, along with a Training and Placement Cell ensures a bright future to the students. I invite you to be part of our efforts as we propel the department of Computer Science & Engineering to ever-greater heights. I congratulate to the team of faculty members and the students for their brilliant and original efforts.

Outcome Based Education (OBE)

Programme Educational Objectives of CSE Department (PEOs):

PEO-1 : Graduates shall have the ability to apply knowledge across the disciplines and in emerging areas of Computer Science and Engineering for higher studies, research, employability, product development and handle the realistic problems.

PEO-2: Graduates shall have good communication skills, possess ethical conduct, sense of responsibility to serve the society and protect the environment

PEO-3 Graduates shall possess academic excellence with innovative insight, soft skills, managerial skills, leadership qualities, Knowledge of contemporary issues and understand the need for lifelong learning for a successful professional career.

Program Specific Outcomes (PSO):

PSO-1:To enable the graduates to use modern tools, design and create novelty based products required for the society and communicate effectively with professional ethics

PSO-2:To achieve and impart holistic technical education using the best of infrastructure, outstanding technical and teaching expertise to establish the students into competent and confident engineers.

program outcomes of CSE department (PO's)

PO# Graduate Attributes PO Statements
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 Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using 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 the public health and safety, and the 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 modelling 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 the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
po 8 Ethics Apply ethical principles and commit to professional ethics and 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 in multidisciplinary settings.
po 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.
po 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.
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.

Courses Offered

Courses Duration Eligibility criteria
B.Tech CSE 4 years (8 SEMESTERS) Admissions to regular B.Tech programmes are made based on the rank secured in Engineering, Agriculture & Medicine common entrance test (EAMCET) conducted by Telengana State Council of Higher Education, Hyderabad. Three year diploma holders, with engineering common entrance test (ECET) ranking are eligible for admission into B.Tech Programmes.


Students Achievements

Department E-Resources

AI: Click Here

Machine Learning:Click Here

Python Programming:Click Here

Data Structures:Click Here

Internet Technologies:Click Here

DBMS: Click Here

CN:Click Here

Computer Algorithms:Click Here

DSA:Click Here

SE:Click Here

NLP:Click Here

CS Educational Resources NASA: Click Here

Co:Click Here

Faculty Achievements

List of Faculty Registered for Ph.D Degree in 2018


Faculty Research publications

S.NO Name of The Journal Title of The Paper ISSN Number Month and Year of The Publication
1 Journal of university of shanghai for science and technology Capable mechanism for high elevation utility groups, 1007-6735 VOL 22-ISSUE 13-2020
2 Journal of Telecommunication, Electronic and Computer Engineering (JTEC) A Modified X Torus Topology for Interconnection Network 9(3-6), 49-54. (Scopus Indexed) 2019
3 Journal of Telecommunication, Electronic and Computer Engineering (JTEC Center Concentrated X Torus Topology 9 (3-6), 55-60. (Scopus Indexed) 2019
4 International Journal of Pure and Applied Mathematics Increasing the life span of Wireless sensor networks Using improved leach Protocol 1314-3395 June 2018
5 International Journal of Ethics in Engineering and Management education An Implementation of Algorithm Based on Backpressure in Wireless - Network 2348-4748 October 2017
6 International Journal of Innovative Research in Science, Engineering and Technology Energetic Network Throughput Optimization and Attack Prevention over Wireless Sensor Networks 2347-6710 August 2017
7 International Journal of Engineering Research in Computer Science and Engineering An Implementation of Algorithm Based on Backpressure in Wireless Ad Hoc Network 2394-2320 February 2017
8 International Journal of Innovative Research in Science, Engineering and Technology Energy Efficient Architecture Using Cluster Based Multipath Routing in Large Scale Wireless Sensor Networks 2319-8753 June 2016

Placements & Internships

The Department has maintained good placement record in recent years. Many of the Department students are employed at prestigious organizations in India and abroad. Many students get a choice of jobs. The Department also arranges campus interviews.


Telangana Academy for Skills and Knowledge was established by the Government of Telangana to enable a platform between Government, Academia and Industry to enhance employability quotient of students in the state.

Vaageswari college of Engineering has MoU with Telangana Academy for Skill and Knowledge. This promotes to support for conducting workshops, internships & training programs to enhance student’s technical skills. Thus, improving the success rate of employability

ICT academy



* Faculty Development programmes

* Training Programs

* Skill Development Initiatives

* Research

* Industry - Institute Interaction

* Nurturing Innovation




• Programming for Problem Solving Lab

• Data structures lab

• Python Programming Lab

• Operating Systems lab

• Data Base Management lab

• Java Programming lab


S.No Name of the Faculty Designation Highest Qualification Photo Research Area(s)
1 Mrs.YELDANDI SUSHEELA Assistant Professor M.Tech(P.hD) Social Network Analysis, Machine Learning, Deep Learning, Computer Vision.
2 Mr.S.SATEESH REDDY Assistant Professor M.Tech Artificial Intelligence and Machine Learning
3 Mr.AKOJU MAHENDER Assistant Professor M.Tech Java, HTML5, CSS3, Bootstrap, PHP, Angular10, UML, Java Script
4 Mrs.P.MAMATHA Assistant Professor M.Tech Big Data,Data Science & Deep Learning