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

    • Artificial Intelligence (AI) & Machine Learning (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, 240 in the academic year 2024-25

    The Department is chaired by Dr. G. Bindu Madhavi, she has a total experience of 13 years in Teaching and Research, She received her Doctor of Philosophy in Computer Science and Engineering from JNTUH with specialization of Digital Image Processing in the year 2020 and Master of Technology (Computer Science and Engineering) from Jawaharlal Nehru Technological University, in the year 2011. She published more than 30 research papers till now in various national, international journals and conferences. She also published a book chapter and has 3 patents to her name. Her research interests include Digital Image Processing, Machine Learning and Deep Learning. In addition, she is a skilled administrator. Her 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, 8 Associate Professors, 6 Senior Assistant Professors and 24 Assistant Professors. Among these, there are 7 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 Programmes, Conferences, Workshops, Publication of Research Papers and active involvement in R & D activities.

    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:

    • PEO-I. 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.
    • PEO-II. 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.
    • PEO-III. 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)

    A systematic, theory-based understanding of the natural sciences applicable to the discipline and awareness of relevant social sciences.

    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.

    A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline.

    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.

    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.

    Knowledge of engineering practice (technology) in the practice areas in the engineering.

    discipline.

    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.

    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.

    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:

    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

    S.No.NameDesignationQualificationFaculty Registration ID
    1Dr. V. Madhusudan RaoProfessor & Dean-School of Computer Science and InformaticsBE (CE), M.Tech. (C.S) and M.S (SE), Ph.D7900-200703-114413
    2Dr. G. Bindu MadhaviAssociate Professor & HoD (AIML) Associate Dean, Cyber Security CellMCA, M. Tech., Ph.D.78150406-160752
    3Dr. L.VenkateswarluProfessorB.Sc, MCA, M.Tech., Ph.D1793-150407-210245
    4Dr. K. ArpithaAssociate ProfessorBSc, MCA, M.Tech, Ph.D3762-230831-140634
    5Dr. P V ShaliniAssociate ProfessorBE(CSE), M.Tech(CSE), Ph.D0364-150620-140718
    6Dr. K. Pranitha KumariAssociate ProfessorB.Tech, M.Tech(CSE), Ph.D0415-210503-123242
    7G VedavyasAssociate Professor BE (Chemical), M.Tech. (CS &Tec.) (Ph.D)0492-150409-114339
    8Shaik AkbarAssociate ProfessorBE, M.Tech. (Ph.D)2878-170201-115525
    9K Siva Rama KrishnaAssociate ProfessorBSc, M.Sc, M.Tech05150403-111448
    10Dr. B. AdithyaAssociate ProfessorB.Tech, M.Tech., Ph.D6891-220920-142557
    11K. Naresh BabuSenior Assistant ProfessorB.Tech. (IT), M.Tech. (CS), (Ph.D)1179-150409-143256
    12Preeti PrasadaSenior Assistant ProfessorB.Tech. (IT), M.Tech. (Comp. Eng.), (Ph.D)5393-150409-112851
    13K. PadmajaSenior Assistant ProfessorB.Sc, MCA, M.Tech 7742-150417-153242
    14P AparnaSenior Assistant ProfessorB.Sc, MCA, M.Tech. (CSE) 5585-150417-144825
    15M.GayatriSenior Assistant ProfessorBA (Mathematics), MCA, ALCCS (IETE equivalent to M.Tech)1878-231021-160555
    16M.Suresh BabuSenior Assistant ProfessorM.Tech (CSE), (Ph.D)1653-160129-193125
    17M.Siva prasadAssistant ProfessorB.Tech., M.Tech. (Ph.D)42150407-063735
    18E. Swapna Assistant ProfessorM.Tech. (CSE)6508-210201-130534
    19D. AparnaAssistant ProfessorB.Tech., M.Tech. (CSE)3583-210714-122826
    20G.AshokAssistant ProfessorB.Tech. (IT), M.Tech (SE)2346-150408-131947
    21T. Santhosha Assistant ProfessorB.Tech., M.Tech.9984-150420-115607
    22Ch. Nageswara RaoAssistant ProfessorB.Tech., M.Tech8462-160121-145420
    23H.V Ramana RaoAssistant ProfessorB.Tech., M.Tech.95150407-113911
    24E. PravalikaAssistant ProfessorB.Tech., M.Tech.3768-221121-095821
    25N. Poornachandra Rao Assistant Professor B.Tech., M.Tech 4338-170522-164617
    26M.Supriya Assistant Professor B.Tech., M.Tech 7213-150413-173324
    27T.Kranthika Assistant Professor B.Tech., M.Tech 7037-230822-102435
    28P.Swathi Assistant Professor B.Tech., M.Tech 5166-150411-094728
    29T.Srujana Assistant Professor M.Tech. (CSE), B.Tech (CSE) 7897-190506-071622
    30K.Priyanka Assistant Professor B.Tech (CSE), M.Tech. (CSE) 0835-190204-112238
    31V.A.Prem Kumar Assistant Professor M.Tech (CSE) 2339-230413-111603
    32Ch.Naveen kumar Reddy Assistant Professor B.Sc, MCA,M.Tech.,(Ph.D) 6233-160208-214316
    33Jeevitha Assistant Professor B.E (IT), M.Tech (CSE) 9580-240213-121703
    34K.Swaroopa Assistant Professor B.Tech (CSE), M.Tech. (CSE) 6654-161217-142015
    35B.Sandhya Assistant Professor B.Tech (CSE), M.Tech. (CSE) 1215-240213-151544
    36B.Nagamani Assistant Professor B.Tech (CSE), M.Tech. (CSE) 3203-240330-120718
    37G.Rama Krishna Assistant Professor B.Tech (CSE), M.Tech. (CSE) 4267-170208-132910
    38G.Venugopal Assistant Professor B.Tech (CSE), M.Tech. (CSE) 3146-161024-142449
    39G.Venugopal Assistant Professor B.Tech (CSE), M.Tech. (CSE) 9531-230203- 112141
    40V.Rakesh Dutta Assistant Professor B.Tech (CSE), M.Tech. (CSE) 4998-200229-102931
    Non-Teaching
    41R.Srilatha Programmer MCA -
    42G.Kavya Programmer MCA -

    LABORATORY DETAILS

    The department has the following laboratories to meet the requirements of CSE (AI&ML) and other branches like IT, ECE, EEE. All the laboratories in the department are well equipped with the latest softwares 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

    Gallery

    sally lightfoot crab
    Object Oriented Programming & Data Base Management Systems Lab
    fighting nazca boobies
    Operating Systems & Web Technologies Lab
    otovalo waterfall
    Computer Programming Lab & Computer Networks and Cloud Computing Lab
    pelican
    AI and ML lab

    Course Files and Lab Manuals

    Compiling course files is a concept which had been there for many years in professional college. Geethanjali takes the concept of course file to a new level altogether.

    Efforts have been made to prepare course files on every subject taught in all branches altogether. This huge stack of information is specially prepared by the respective faculty members with examinations in mind. A wide variety of questions are compiled catering to the comprehension of the weakest student to challenge the mind of the brightest student.

    Not only are the efforts of Geethanjali towards compiling the best material but efforts of the same level are put into ensuring that the students access the information. Group ids are created for each class and the class representative receives this information which he/she passes it on to his/her classmates. All of them can access the information with the help of their username & password generated individually per student.

    Along with important questions and answers generated unit wise there are nearly 50 multiple choice questions per unit which will aid the student in their online internal examinations. Not just this academic matter but our faculty also includes website addresses resourceful for their subjects, references and all possible lab viva questions.

    The course files are updated every year and versions of it are released.

    The laboratory manuals for each lab are generated with utmost care because at Geethanjali we understand the importance of applied knowledge. We realize that labs are real nests for acquiring knowledge and hence stringent measures are followed while designing them and scrutinized by the Head of the Departments before they reach the student. Along with the prescribed number of experiments, more number of experiments are added after consulting the industry requirements. The lab manuals help the student prepare their record and also come prepared for their lab sessions.

    Projects (Research Projects, Students Projects)

    In their third year, the students begin with a mini project designed to help them learn about the current trend technologies. Student groups collaborate on a problem statement using the assigned guides. Students' technical, communication, and teamwork abilities are nurtured as a result.

    The students who have completed their 3 rd year course work should undergo an industrial training for 45 days. The students in the 4 th year II semester will rigorously work for 2 months on project development.

    A group comprising of 3 members is created so as to distribute the skills of the class uniformly. The student's groups are formed by choosing one above average, one average and one below average student. This ensures that the skills of the class are uniformly distributed.

    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.

    MOU's

    S.NoOrganization NameTitleEstablished Date
    1Virtusa Consulting Services Pvt.LtdVirtusa Artificial Intelligence Management Services01-10-2021
    2SmartBridge Educational Services Pvt. Ltd. Robotics Learning and Development Centre02-12-2019
    3Redpine SignalsIoT Centre of Excellence04-03-2017
    4IBM India Pvt.LtdIBM Software Lab for Emerging Technologies18-08-2017
    5Oracle AcademyOracle Academy Training and Certification Program15-07-2015
    6Artificial Intelligence Medical and Engineering Researcher's SocietyAIMERS-INS119June 2024

    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.

    FDPs Conducted

    FDP was conducted from 11/6/24 to 15/6/24 by CSE - AIML department on "BUILDING SCALABLE DATA ENGINEERING AND MACHINE LEARNING APPLICATIONS WITH HADOOP AND SPARK"

    The programme is designed to enhance the learning and research skills of the participants, to make them aware about modern analytical tools and methodologies. It provides an opportunity to acquire knowledge about current technological developments in relevant fields. The programme mainly focuses on Big Data Analytics and the different computational approaches with primary concern and motivation for application development.

    Download Brochure


    AIML Department


    FDP attended list 21-24

    Guest Lectures

    Title:Software Testing And Quality by Dr. Srikanth Chintakindi

    Date and Time:5th June, 2024 1.30pm to 3.30pm

    Audience:III year students

    Total Participants:86

    About:The lecture aimed not only to provide an in-depth understanding of software testing but also to inspire students. Mr. Chintakindi's interactive session enthused the students, offering both theoretical knowledge and practical insights into software quality assurance and the implementation of AI tools in testing

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    Title:OS and CAALP by Dr.Shaik Khaja Sharif

    Date and Time:5th June, 2024 1.30pm to 3.30pm

    Audience:III year students

    Total Participants:172

    About:The guest lecture included discussion on the basic structure of computer systems, including the central processing unit (CPU), memory hierarchy, input/output mechanisms, and instruction sets. The lecture also covered the fundamentals of assembly language programming, providing students with hands-on knowledge of how low-level programming works and its significance in optimizing performance and understanding hardware-software interactions. The lecturer's ability to simplify complex concepts and provide real-world examples helped students appreciate the importance of computer architecture and assembly language in developing efficient and effective software.

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    Title:Workshop on Navigating the future: AI unveiled opportunities for Engineers and Innovations by Mr. Srinath

    Date and Time:27th Jan, 2023 at 10.40 am

    Audience:II year students

    Total Participants:300

    About:This session's main objective is to inspire participants by sharing real-life success stories of entrepreneurs. Explore the mindset and characteristics common among successful entrepreneurs. Emphasize the importance of collaboration and effective leadership. Explore how the entrepreneur learns from failures and adapts their strategies. Describe the passion or motivation that drives the entrepreneur to pursue their vision

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    Title:Process of innovation development, technology readiness level (TRL) by Mr. Chaitanya Shravan

    Date and Time:6th Jan, 2024 at 10.00 am

    Audience:III year students

    Total Participants:40

    About:The lecture's main objective is for to participants gain a clear understanding of what TRL is and its significance in assessing the maturity of technologies, also they become familiar with the different TRL stages and the criteria that define each stage. The participants understand how TRL can be used to assess the risk associated with the development and deployment of technologies and develop skills in using TRL information to make informed decisions regarding technology investments, funding, and project management.

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    Title:Software testing overview using AI by Mr.TejoRaghuram Ch

    Date and Time:14th Dec, 2023 from 1.00 pm to 3.00 pm

    Audience:III year students

    Total Participants:101

    About:The aim of this lecture is to deepen the knowledge of the participants in the field of Software testing. The real time examples made the lecture relatable and understandable. The lecture aimed not only to deepen our understanding of software testing overviewing and also enlightened the students enthusiastically.

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    Title:AI tool for Software Testing and Applications of Generative AI by Dr.A.Pranaynath Reddy

    Date and Time:14th Dec, 2023 from 1.00 pm to 3.00 pm

    Audience:III year students

    Total Participants:86

    About:The session enlightened the students with the basics of Generative AI and its applications. An online tool demonstration helped the students understand the concept better. The practical applications currently used in the industry were also introduced.

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    Title:Web Technologies by Mr. B Anil Kumar

    Date and Time:20th July, 2023 from 10.00 am to 3.00 pm

    Audience:II year students

    Total Participants:21

    About:The session is aimed to give the students the insights of the Internet programming and how to design and implement complete applications over the web. Create an immersive user experience by providing faster and more reliable service. Increase user engagement by providing a more native app-like experience and conversion rates.

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    AIML publications

    AIML Publication Sheet

    Faculty Achievements

    S.NoFACULTY NAMEACHIEVEMENTMONTHYEARLINK TO THE PROOF
    1 K.PADMAJA WIPRO CERTIFIED FACULTY MARCH 2022 click on
    2 K.NARESH BABU WIPRO CERTIFIED FACULTY MARCH 2022 -
    Authorised instructor CCNA Exploration: Network Fundamentals April 2013 -
    Authorised instructor CCNA Exploration: Routing Protocols and Concepts April 2013 -
    Authorised instructor CCNAv7: Bridging April 2020 -
    Authorised instructor CCNAv7: Enterprise Networking, Security, and Automation April 2020 -
    Five years of active participation and service in Cisco Networking Academy JAN 2024 -
    3 Dr. B. Adithya Awarded Ph.D JAN 2023 click on
    4 Dr. B. Adithya IEEE ICAIT 2024- Best Paper Award JULY 2024 click on
    5 Dr L.Venkateswarulu Guest lecture given in the college BVRIT, Narsapur. - - -
    6 Dr. B. Adithya IEEE ICBDS 2024-Reviewer Certificate JULY 2024 click on
    7 Malyala Gayatri Certified under Virtusa technology orientation for faculty( VTOF) training program-Fluttter java MAY 2024 click on
    8 JEEVITHA Certified in full stack development MARCH 2024 click on
    9 Dr. B. Adithya ABCD Journal- Reviewer Certificate DEC 2023 click on
    10 Ch Naveen Kumar Reddy Programming Essentials in C by Cisco Networking Academy JULY 2024 click on
    11 Dr. B. Adithya Springer ICICC-2024- Reviewer Certificate SEP 2024 click on
    12 Dr. B. Adithya AIP ICCIDT- 2K24- Reviewer Certfificate MAY 2024 click on
    13 M Siva Prasad Organised 7 student industrial visits in last 2 Acedemic Years 2022-2023 2023-24 click on
    14 M Siva Prasad A+ grade Certificate by JNUTH for Two -Week Refresher Course on "Machine Learning and Data Science Algorithms" JULY 2024 click on
    15 T Kranthika Professional Scrum Master certification JAN 2023 click on