• Counselling Codes:
    EAPCET-GCTC / M.Tech-GCTC1 / MBA-GCTC
    ECET-GCTC

    • Artificial Intelligence & Machine Learning (AI & ML)

    Artificial Intelligence & Machine Learning

    B.Tech "Computer Science and Engineering - Artificial Intelligence and Machine Learning" (CSE-AI&ML) department was established in the year 2020.

    It started with an intake of 60 in the academic year 2020-21. Subsequently, intake in B. Tech. (CSE-AI&ML) have increased to 180 in the academic year 2021-22, 240 in the academic year 2023-24, 300 in the academic year 2025-26.

    The Department is chaired by Dr. Angotu Nageswara Rao, he has a total experience of 25 years in Teaching and Research, he received his Doctor of Philosophy in Computer Science and Engineering from JNTU Kakinada in the year 2024 and Master of Technology (CS) from University of Hyderabad, in the year 2000. He published more than 20 research papers till now in various national, international journals and conferences. He also published 6 book chapter. His research interests include Big Data & machine Learning. In addition, he is a skilled administrator. His organizing and negotiating abilities are strong. Sets realistic objectives, carefully organizes activities to guarantee everyone's involvement, and comes to an agreement to realize desired dreams.

    Department has 2 Professors, 10 Associate Professors, 7 Senior Assistant Professors and 24 Assistant Professors. Among these, there are 9 doctorates in the department. The department has a supporting staff to assist and maintain the computer laboratories.

    The department has Programmers and System Administrator to assist and maintain the computer laboratories. All the faculty members are motivated to participate in Faculty Development Programs, Conferences, Workshops, Publication of Research Papers and active involvement in R & D activities.

    International Journal of Research in Machine Learning and Deep Learning

    International Journal of Research in Machine Learning and Deep Learning is a peer reviewed, open access journal focused on research related to machine learning and Deep learning. The journal encompasses all aspects of research and development in ML,DL including but not limited to data mining, computer vision, natural language processing (NLP)

    The scope of the journal is research in the field of Artificial Intelligence machine learning in health care & science, artificial intelligence, and advances, artificial intelligence in blockchain technology, artificial intelligence in healthcare, business, artificial neural networks, big data algorithms, big data analysis, cloud computing, computer vision, computer vision and perception, cyber defense, cyber security, data mining, data mining with big data, data science, decision management, deep learning, fleet management in Artificial Intelligence automation machine learning, humanoid robotics, image processing, perception internet of things, machine learning, machine learning, and computing, machines, and minds, mechatronics & nonlinear control systems (nolcos), multimedia technologies, natural language processing (NIP), neural system, robotic process automation (RPA), robotics, robots in security and surveillance, speech recognition, virtual intelligence, etc.

    Overview

    To produce globally competent and socially responsible computer science engineers contributing to the advancement of engineering and technology which involves creativity and innovation by providing excellent learning environment with world class facilities.

    • To be a centre of excellence in instruction, innovation in research and scholarship, and service to the stake holders, the profession, and the public.
    • To prepare graduates to enter a rapidly changing field as a competent computer science engineer.
    • To prepare graduate capable in all phases of software development, possess a firm understanding of hardware technologies, have the strong mathematical background necessary for scientific computing, and be sufficiently well versed in general theory to allow growth within the discipline as it advances.
    • To prepare graduates to assume leadership roles by possessing good communication skills, the ability to work effectively as team members, and an appreciation for their social and ethical responsibility in a global setting

    PROGRAM EDUCATIONAL OBJECTIVES:

    Program Educational Objectives (PEOs) are broad statements that describe what graduates are expected to attain within a few years of graduation. The PEOs for Computer Science and Engineering (Artificial Intelligence and Machine Learning) graduates are:

    • PEO1: To provide graduates with a good foundation in mathematics, sciences and engineering fundamentals required to solve engineering problems that will facilitate them to find employment in industry and / or to pursue postgraduate studies with an appreciation for lifelong learning.
    • PEO2: To provide graduates with analytical and problem solving skills to design algorithms, other hardware / software systems, and inculcate professional ethics, inter-personal skills to work in a multi-cultural team.
    • PEO3: To facilitate graduates get familiarized with state of the art software / hardware tools, imbibing creativity and Innovation that would enable them to develop cutting-edge technologies of multi-disciplinary nature for societal development.

    Knowledge and Attitude Profile (WK)

    • WK1: A systematic, theory-based understanding of the natural sciences applicable to the discipline and awareness of relevant social sciences.
    • WK2: Conceptually-based mathematics, numerical analysis, data analysis, statistics and formal aspects of computer and information science to support detailed analysis and modelling applicable to the discipline.
    • WK3: A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline.
    • WK4: Engineering specialist knowledge that provides theoretical frameworks and bodies of knowledge for the accepted practice areas in the engineering discipline; much is at the forefront of the discipline.
    • WK5: Knowledge, including efficient resource use, environmental impacts, whole-life cost, re-use of resources, net zero carbon, and similar concepts, that supports engineering design and operations in a practice area.
    • WK6: Knowledge of engineering practice (technology) in the practice areas in the engineering discipline.
    • WK7: Knowledge of the role of engineering in society and identified issues in engineering practice in the discipline, such as the professional responsibility of an engineer to public safety and sustainable development.
    • WK8: Engagement with selected knowledge in the current research literature of the discipline, awareness of the power of critical thinking and creative approaches to evaluate emerging issues.
    • WK9: Ethics, inclusive behavior and conduct. Knowledge of professional ethics, responsibilities, and norms of engineering practice. Awareness of the need for diversity by reason of ethnicity, gender, age, physical ability etc. with mutual understanding and respect, and of inclusive attitudes.

    PROGRAMME OUTCOMES:

    The Program outcomes of B.Tech (CSE) department are being modified with reference to Graduate Attributes given by NBA in June 2015 are as below

    Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.

    Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)

    Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)

    Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8)

    Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)

    Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7)

    Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)

    Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.

    Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences.

    Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one‟s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.

    Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)

    PROGRAM SPECIFIC OUTCOMES:

    PSO1: Demonstrate competency in Programming and problem solving skills and apply those skills in solving computing problems

    PSO2: Select appropriate programming languages, Data structures and algorithms in combination with modern technologies and apply them in developing innovative solutions

    PSO3: Demonstrate adequate knowledge in the concepts and techniques of artificial intelligence and machine learning, apply them in developing intelligent systems to solve real world problems

    Faculty List

    Click on Name for Profile

    NameDesignationQualificationFaculty Registration ID
    Dr. V. Madhusudan RaoProfessor & Dean - School of CS and InformaticsBE (CE), M.Tech. (C.S) and M.S (SE), Ph.D7900-200703-114413
    Dr. Angotu Nageswara RaoAssociate Professor & HoDBE, M.Tech. (CS), Ph.D4337-161210-131412
    Dr. L. VenkateswarluProfessorB.Sc, MCA, M.Tech., Ph.D1793-150407-210245
    Dr. C.V.P.R PrasadProfessorB.Sc, M.Tech. MCA, Ph.D6213-161022-184405
    Dr. G. Bindu MadhaviAssociate ProfessorB.Sc, M.Tech. MCA, Ph.D78150406-160752
    Dr. K. ArpithaAssociate ProfessorB.Sc, MCA, M.Tech., Ph.D3762-230831-104634
    Dr. P V ShaliniAssociate ProfessorB.E (CSE), M.Tech. (CSE), Ph.D0364-150620-140718
    Dr. B. AdithyaAssociate ProfessorB.Tech. (IT), M.Tech. (IT), Ph.D6891-220920-142557
    Dr. Sujit DasAssociate ProfessorB.Sc with Honours, MCS, M.Tech. (CSE), Ph.D9927-220324-063847
    Dr. K. Satish KumarAssociate ProfessorBE, M.Tech. (SE), Ph.D, PDF7332-171214-192349
    G VedavyasAssociate ProfessorBE (Chemical), M.Tech. (CS & Tech.)0492-150409-004339
    P. ManoharAssociate ProfessorB.Tech., M.Tech. MBA6267-191113-140020
    Shaik AkbarAssociate ProfessorB.Tech. (IT), M.Tech. (AI)2878-170201-115525
    K. Naresh BabuSr. Assistant Professor & Dept. Coord. - IQACB.Tech. (IT), M.Tech. (CS)1179-150409-143256
    Prasada. PreethiSr. Assistant Professor & I/C - Alumni CellB.Tech. (IT), M.Tech. (Comp. Eng.)5393-150409-112851
    P AparnaSr. Assistant ProfessorB.Sc, M.Tech. (CSE), MCA5585-150417-144825
    M. GayatriSr. Assistant ProfessorBA (Maths), ALCCS & MCA1878-231021-160555
    M. Suresh BabuSr. Assistant Professor & Dept. Coord. - IIIBE, M.Tech. (CSE)1653-160129-193125
    Ch. SushmaSr. Assistant ProfessorB.Tech., M.Tech. (SE)39150404-165734
    M. Siva PrasadAssistant Professor & Dept. Coord. - IQACB.Tech., M.Tech.42150407-063735
    E. SwapnaAssistant ProfessorB.Tech. (CSE), M.Tech. (CSE)6508-210201-130534
    P. Rahul DasAssistant ProfessorB.Tech., M.Tech. (CSE)8794-210709-145612
    B. NaliniAssistant ProfessorB.Tech. (IT), M.Tech. (CSE)6145-220510-143343
    Ch. Nageswara RaoAssistant ProfessorB.Tech. (CSE), M.Tech. (CSE)8462-160121-145420
    H V Ramana RaoAssistant ProfessorB.Tech. (CSIT), M.Tech. (CSE)95150407-113911
    E. PravalikaAssistant ProfessorB.Tech. (CSE), M.Tech. (CSE)3768-221121-095821
    N. Poornachandra RaoAssistant ProfessorB.Tech. (CSIT), M.Tech. (SE)4338-170522-164617
    M. SupriyaAssistant ProfessorB.Tech. (CSE), M.Tech. (CSE)7213-150413-173324
    T. KranthikaAssistant ProfessorB.Tech. (CSIT), M.Tech. (SE)7037-230822-102435
    P. SwathiAssistant ProfessorB.Tech. (IT), M.Tech. (CSE)5166-150411-094728
    T. SrujanaAssistant ProfessorB.Tech., M.Tech. (CSE)7897-190506-071622
    K. PriyankaAssistant ProfessorB.Tech. (CSE), M.Tech. (CSE)0835-190204-112238
    Prem Kumar V AAssistant ProfessorB.Com, MCA, M.Tech. (CSE)2339-230413-111603
    JeevithaAssistant ProfessorB.Tech. (Inf.Sci. & Eng.), M.Tech. (CSE)9580-240213-121703
    K. SwaroopaAssistant ProfessorB.Tech., M.Tech. (CSE)6654-161217-142015
    B. NagamaniAssistant ProfessorB.Tech., M.Tech. (CSE)3203-240330-120718
    B. SrivaniAssistant ProfessorB.Tech. (CSE), M.Tech. (CSE)9531-230203-112141
    G. RamakrishnaAssistant ProfessorB.Tech., M.Tech. (CSE)4267-170208-132910
    G. Venu GopalAssistant ProfessorB.Tech., M.Tech. (CS), NET3146-161024-142449
    V. Rakesh DattaAssistant ProfessorB.Tech., M.Tech. (CSE)4998-200229-102931
    B. Lakshmi LavanyaAssistant ProfessorB.Sc, M.Sc, M.Tech. (CSE)1795-250605-104451
    V LathaAssistant ProfessorB.Tech., M.Tech. (CSE)9258-250919-115241
    T. SanthoshaAssistant ProfessorB.Tech. (CSE), M.Tech. (CSE)9984-150420-115607
    G. RajuSr. Assistant ProfessorB.Tech., M.Tech. (Transport Eng.)8061-150408-143108
    NameQualificationDesignation
    Non-Teaching
    G. KavyaProgrammerB.Sc, MCA,
    R. SrilathaProgrammerB.Sc, MCA,

    Laboratory Details

    The department has the following laboratories to meet the requirements of CSE and other branches like IT,ECE, EEE. All the laboratories in the department are well equipped with the latest software's and technologies so as to provide required infrastructures to carry in-house projects for final year students as well as R&D activities.

    Curriculum Laboratories

    • Advanced Data Structures Lab
    • IT Workshop(Including Sci Lab)
    • Object Oriented Programming Through Java Lab
    • Design and Analysis of Algorithms Lab
    • Computer Organization and Assembly Language Programming Lab
    • Database Management Systems Lab
    • Operating Systems Lab
    • Computer Networks Lab
    • Artificial Intelligence Lab
    • Web Technologies Lab
    • Software Engineering Lab
    • Advanced English Communication Skills Lab
    • Mobile Application Development and Compiler Design Lab
    • Computer Networks and Cloud Computing Lab
    • Machine Learning Lab
    • Cryptography and Network Security Lab
    • Internet of Things Lab
    • Advanced Algorithms Lab
    • Digital Forensics Lab
    • Data Analytics Lab
    • Parallel Computing Lab
    Image

    Object Oriented Programming & Data Base Management Systems Lab

    Image

    Operating Systems & Web Technologies Lab

    Image

    Computer Programming Lab & Computer Networks and Cloud Computing Lab

    Image

    Advanced Data Structures & Mobile Application Development and Compiler Design Lab

    Projects (Research Projects, Students Projects)

    The students who have completed their III year course work should undergo Industrial training for 45 days. The students in IV year IIsem will undergo 2 months regorows project development. The college has move with companies like ECIL, Ordinary solutions etc.

    The students have to undergo development training and as well they have to produce individual or group projects.

    The students groups will be formed consisting of 3 members, where one should be best, one is Average and the last is below Average intelligent students.

    The companies will be assessed by quality control team formed by college Q.C. in charge and based on the feedback the company either be allowed for future relationship or blacklisted.

    Continuous Professional Developement

    List of Faculty Development Programs, Guest Lectures, Short term courses, Student Development Programs and Workshops

    Employability Skills Imparted

    • Programming Skills classes are being conducted for all the 3rd year students in addition to their course work.
    • Class room training for analytical, aptitude and reasoning skills for students by external experts.
    • NPTEL classes conducted as part of the curriculum

      The National Programme on Technology Enhanced Learning (NPTEL) is a Government of India sponsored collaborative educational programme. By developing curriculum-based video and web enabled courses the programme aims to enhance the quality of engineering education in India. It is being jointly carried out by 7 IITs and IISc Bangalore, and is funded by the Ministry of Human Resources Development, Government of India.

      The video courses in the programme comprises of approximately 40 one-hour lectures for each course and the web supplements contain sufficient information and knowledge that a teacher normally covers in approximately 40 lecture-hours. The contents are based on the model curriculum suggested by All India Council for Technical Education (AICTE) and the syllabi of major affiliating Universities such as Jawaharlal Nehru Technological University, Hyderabad (Andhra Pradesh), Anna University (Tamil Nadu) and Visvesvaraya Technological University (Karnataka)

      The main objective of NPTEL program is to facilitate students with supplemental information, more so in this era of non availability of quality teachers for some of the subjects there by providing them with good quality engineering education.

    • Innovative and Creative projects are being designed and developed by the students in inter-disciplinary teams.
    • Centre for Advancement of Career and Human Excellence (CACHE) is the department of the college responsible for Career Guidance, Training, Placement and Entrepreneurship development. It is a unique initiative of Geethanjali. Its features are
      1. Was started in 2005
      2. Deals with Career Guidance, Training, Placements and Entrepreneurship
      3. With the intention of enhancing the students understanding of employability.
      4. Training imparted to students from their freshman year.
      5. Trained to be an asset to their employers.
      6. Various innovative methods of teaching are implemented
      7. A special syllabus is planned keeping in view the industry requirements and constraints of regular syllabus.
      8. Focus is on Communication Skills, Aptitude, and Soft Skills, developing the Confidence of Students, improving their Body Language, inculcating Creativity and into making them responsible individuals.
      9. A special collection of books is maintained at CACHE to draw students to books and the healthy habit of reading.
      10. Forging fruitful and mutually beneficial linkages with industries and professional organizations.
      11. Getting live projects as well as providing placement assistance to its students.
      12. By organizing key guest lectures and seminars.
    • The College gives utmost importance to improving the quality of the graduate student as this is an important aspect of the mission of the college. To that end, we spend considerable amount of time talking with students about their career and professional goals, concerns, and suggestions for improving their learning experience. Since its inception, the college has been continuously striving its best in working towards enhancing the professional culture to serve the needs of an ever-changing and dynamic learning community in an exemplary manner. The college has a Training & Placement cell (T&P cell) which guides the students on all aspects of career planning, job searching, and post-graduate studies. The objective of the cell, inter alia, are:
      1. To offer career guidance programs and to provide assistance and resources to support students in making real life connections to academic learning.
      2. To enable students to gain the skills, ability and confidence to transit successfully to further studies/work/self-employment or any other activity in which he/she lands deliberately or unwittingly.
      3. To provide services which expose students to infinite possibilities available in their future; to equip them with the tools they need to plan for future endeavors and to provide continued support and encouragement that they need to be successful in career as well as life.
      4. To enable students to evaluate various career options and embark on their career path to meet their interests by showing them how to assess their interests and talents.
      5. To help find answers to the following questions which pester students:
        1. What am I going to do when I leave college?
        2. Do I meet the entrance requirements of places of higher education?
        3. Can I afford to study further?
        4. Will I find a job in my chosen field and place?
        5. Should I take a gap/break after college?
        6. Are some places better to study than others?
        7. Is my degree internationally recognized?
        8. Will my job earn me the money to live the lifestyle I desire?

    Finding answers to these questions is easy if one has a good understanding of himself/herself and his/her choice of careers. It is possible to find a career path for each individual which draws on their strengths and builds on areas requiring improvement.