Department Overview
The Department of Artificial Intelligence and Data Science program with an intake of 60 was introduced in the year 2021. Due to high demand, the department has increased the intake of B.Tech.(Artificial Intelligence and Data Science) programs from 60 to 120 in the year 2022 and from 120 to 180 in the year 2023.
The department has highly qualified faculty members with minimum M. Tech qualification with specialization in Artificial Intelligence, Computer Science and Engineering, Computer Technology, Data Science, Machine learning and Software Engineering.
The department has cutting-edge laboratories with the most up-to-date configuration systems, which aids in the development of students' programming skills.
The Department provides high-quality technical education that is based on research, to help students develop innovative skills, and to enhancing academic activities via ongoing development of the teaching and learning process. Students are nurtured with a variety of learning activities including and not restricted to classroom teaching, presentations, video lectures, experiential learning, Swayam NPTEL and other MOOC online courses by faculty in the institute and across the globe. Students are encouraged to take up industry-oriented projects, participate in hackathons and coding competitions at national and international level.
Highlights of the department
- High qualified and experienced faculty
- Conducive environment for Academic Excellence
- Effective Teaching & Learning Process
- State of the art computing facilities for R&D and innovation
- Centres of Excellence
- Industry training and campus placements
- Add-on Courses
Vision
To be a leading department in Artificial Intelligence and Data Science education, fostering innovation, critical thinking, and ethical practices to shape future leaders who drive societal progress and contribute to a sustainable, intelligent, and data-driven world.
Mission
Provide Quality Education: Deliver a rigorous, interdisciplinary curriculum that integrates core concepts in artificial intelligence, data science, machine learning, and engineering principles with real-world applications.
Foster Research and Innovation: Encourage students and faculty to engage in research that addresses complex global challenges, advancing the fields of AI and data science through creativity, collaboration, and a focus on societal impact.
Develop Industry-Ready Skills: Equip students with cutting-edge skills, hands-on experience, and ethical grounding to meet the dynamic demands of the AI and data science industries and to contribute meaningfully to technological advancements.
Promote Ethical and Responsible AI: In still in students a deep understanding of the ethical, legal, and societal implications of AI and data science, fostering a commitment to responsible and inclusive technology development.
Empower Lifelong Learners: Create a foundation for continuous learning, adaptability, and leadership, preparing graduates to thrive in a rapidly evolving technological landscape.
Program Educational Objectives
PEO 1: Career Excellence and Innovation: Graduates will excel in their professional careers in AI, data science, and related fields by applying technical expertise, innovative thinking, and problem-solving skills to address complex industry challenges, advancing both their own career trajectories and the field as a whole.
PEO 2: Lifelong Learning and Professional Growth: Graduates will engage in lifelong learning through advanced studies, professional certifications, and research, staying at the forefront of AI and data science advancements to adapt to the rapid evolution of technology and contribute to continuous personal and professional growth.
PEO 3: Ethical Leadership and Societal Impact: Graduates will demonstrate ethical decision-making, social responsibility, and leadership in their work, using AI and data science to develop solutions that benefit society, address global challenges, and adhere to principles of fairness, accountability, and inclusivity.
Programming Specific Outcomes
PSO.1: Technical Proficiency in AI and Data Science: Graduates will possess the ability to apply core principles of artificial intelligence, machine learning, data analysis, and software engineering to design, implement, and optimize datadriven and intelligent solutions for real-world applications.
PSO.2: Competency in Advanced Tools and Ethical Practices: Graduates will be adept at using modern tools and technologies relevant to AI and data science while understanding and applying ethical guidelines, ensuring responsible use of data and AI in ways that respect privacy, fairness, and societal impact.
PROGRAMME OUTCOMES
Engineering Graduate will be able to:
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: 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.
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 teamwork: 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.
Departmental Advisory Board
| S. No | Role in Board of Studies | Name and Designation |
|---|---|---|
| 01 | Chairman, BOS | Dr. Sheetal Kundra, Professor & Head, AI & DS, GNIT |
| 02 | JNTUH Nominee | Dr. S. Viswanadha Raju, Senior Professor CSE, JNTUH University College of Engineering, Jagityal |
| 03 | Academic Council Nominee | Prof. P. V. Sudha Professor and Head, CSE, University College of Engineering, O U |
| 04 | Academic Council Nominee | Dr. M. Swami Das Professor CSE & Joint Director-Academics (Informatics) Chaitanya Bharathi Institute of Technology, Hyderabad |
| 05 | Industry Representative | Mr. Meka Venkata Chalapathy Senior Director & Head of Talent Management, Virtusa, India |
| 06 | Alumni | Mrs. Gowravaram Rashmi |
| 07 | Members | Dr. Sanjeev Shrivastava, Dean Academics and R & D Mrs. Chlestina G , Associate Professor |
Departmental Academic Committee
| S. No | Name | Designation | Role |
|---|---|---|---|
| 01 | Dr. Sheetal Kundra | Professor & Head | Chair Person |
| 02 | Mrs. G Celestina | Associate Professor | Academic Coordinator |
| 03 | Mr. K.Surendra | Assistant Professor | Exam Coordinator |
| 04 | Mr. K. Naveen Kumar | Assistant Professor | R&D Coordinator |
| 05 | Mr. Rohit Jain | Assistant Professor | Infrastructure Coordinator, PPT Coordinator |
| 06 | Ms. Asha Simon | Assistant Professor | Time Table Coordinator |
| 07 | Mr. Mohammad Ummer Chopan | Assistant Professor | ERP Coordinator |
| 08 | Mr. Anzar Iqbal | Assistant Professor | Student Related Coordinator, Website Coordinator |
| 09 | Mr. Aatif Bashir | Assistant Professor | Training & Placement Coordinator |
| 10 | Mr. Rahil Hussain | Assistant Professor | Documentation Coordinator, AICTE and NAAC Coordinator |
| 11 | Mr. G.S.Nilavarasan | Assistant Professor | Project Coordinator |
| 12 | Ms. Megha Karil | Assistant Professor | Student Related Coordinator |
Programs
UG Program (B.Tech.) B.Tech.
Artificial Intelligence and Data Science - 180 intake
| Program Structure | |
|---|---|
| Programme | B.Tech |
| Duration | 4 years |
| Eligibility Criteria | 10+2 Science stream (Physics ,Chemistry & Mathematics) |
| Selection Procedure | TGEAPCET |
About the Program
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving. Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. Artificial Intelligence and Data Science is an interdisciplinary branch of science, engineering and technology creating a complete ecosystem and a paradigm shift in virtually every sector of the technical industry, academics and research. B-Tech Computer Science and Engineering with specialization in Artificial Intelligence and Data Science is a 4 years undergraduate degree program which emphasizes comprehensive knowledge of programming, machine learning, artificial intelligence, network security, database management system and many other recent fields of Artificial Intelligence and Data Science which are required by any Software and IT companies. B.Tech. Computer Science and Engineering with specialization in Artificial Intelligence and Data Science is designed to address the industry’s increasing demand for skilled professionals in the public and private sectors. This specially designed program helps to bridge the gap between industry and academia so as to create an employable workforce ready to take on challenging roles in the domain of Artificial Intelligence and Data Science.
Scope of the Program
Data Science and Artificial Intelligence are amongst the hottest fields of the 21st century that will impact all segments of daily life by 2025, from transport and logistics to healthcare and customer service.
"The rise of Data Science needs will create roughly 11.5 million job openings by 2026" US Bureau of Labour Statistics.
"By 2022, Data Scientists and Analysts will become the number one emerging role in the world." World Economic Forum
The global artificial intelligence market size is expected to reach $169,411.8 million in 2025.
AI and Data Science are becoming the hot topics of the IT industry as the entire world is relying on data. The data-driven operations adopted by almost every industry will increase the scopes of well-trained professionals.
The scope of Data Scienceis growing with every passing year. From 2008 to 2020, people across the globe have stepped on the digitalization age. The massive growth of data provides a glimpse of the future scope of Data Science in India and Abroad.
The market size of Data Science platforms is expected to reach 178 billion US Dollars by 2025. And this is just the Data Science platform that provides open-source software and computing resources which Data Scientists can use and remain updated with the latest developments in the field.
Highlights of the Program:
One of the top colleges in Telangana and first one to offer the best B.Tech Program in Computer Science and Engineering with specialization in Artificial Intelligence and Data Science.
State of the art infrastructure and well qualified faculty
Learn through real time industry projects sponsored by global leaders in Artificial and Data Science industry and regular live sessions by industry experts.
Builds solid theoretical and strong practical skills in the fields of programming, machine learning, artificial intelligence, network security, database management system and many other areas of Artificial Intelligence and Data Science.
Regular Tech-Talks, webinars, and Seminars by experts.
Empower with skills that enable you to lead with an intelligence-led approach in Artificial Intelligence and Data Science.
Placement & Internship support.
Career Opportunities in Artificial Intelligence and Data Science:
Data Engineer
Decision-Maker
Data Analyst
Expert Analyst
Statistician
Machine Learning Engineer
Analytics Manager
Data Science Leader
Qualitative Expert
Social Scientist
Domain Expert
UX designer
Data Product Manager
Software Engineer
Information Security Analyst
System Analyst
Artificial Intelligence Engineer
Product Analyst
Machine Learning Architect
Leading Recruiters in Artificial Intelligence and Data Science:
IBM
Facebook
Unilever
PwC
Oracle
Amazon
Infosys
Apple
Boeing
General Motors
Accenture
Flipkart
Myntra
Intel
Microsoft
LinkedIn
Deloitte
Mya Systems.
Wade & Wendy.
AllyO
HiredScore
Hiretual
Textio
HireVue
Fractal Analytics
HOD Message
It is my pleasure to welcome you to the Department of Artificial Intelligence and Data science at Guru Nanak Institute of Technology. As the Head of the Department, I am excited to share our vision and commitment to excellence in education, research, and innovation.
At Guru Nanak Institute of Technology, we believe in empowering our students to become the next generation of computer scientists and engineers who will shape the future of technology. Our department is dedicated to providing a dynamic and nurturing learning environment that fosters creativity, critical thinking, and problem-solving skills.Our accomplished faculty members bring a wealth of knowledge and expertise in various areas of computer science and engineering.
They are passionate about teaching and mentoring students to excel in their academic pursuits. Our curriculum is designed to stay up-to-date with the rapidly evolving field of technology, ensuring that our graduates are well-prepared to meet the challenges of the digital age.Our department is committed to promoting diversity and inclusivity, and we value the unique perspectives and backgrounds that each student brings. We believe that a diverse student body and faculty contribute to a richer learning experience and foster innovation.
Explore our site to discover our programs, faculty, and the exciting opportunities we offer. Feel free to connect with us if you have any questions or wish to join our dynamic community.
Best regards,
Dr Sheetal Kundra
Head of Department
Artificial Intelligence and Data Science
Guru Nanak Institute of Technology
Dr Sheetal Kundra
Head of Department
Artificial Intelligence and Data Science
Guru Nanak Institute of Technology
HOD Profile
Dr. Sheetal Kundra is working as Head of Department in Artificial Intelligence & Data Science Department at Guru Nanak Institute of Technology, Hyderabad. She completed her B.Tech CSE from Punjab Technical University, in 2003, MTech CSE from Punjab Technical University in 2010, and Ph.D. in CSE from Punjab Technical University in April 2018. She has 18 years of teaching experience. She has published 10 international journals and published 2 patents. Her research interests include Social Networks and Artificial Intelligence. She is a member of ISTE.
Dr Sheetal Kundra
Head of Department
Artificial Intelligence and Data Science
Guru Nanak Institute of Technology
Faculty Profiles
List of Faculty
| S. No | Name of the Faculty | Qualification | Designation |
|---|---|---|---|
| 01 | Dr. Sheetal Kundra | Ph. D | Professor and Head of the Department |
| 02 | Mrs. G Celestina | M.Sc CS | Associate Professor |
| 03 | Mr. K.Surendra | M. Tech | Assistant Professor |
| 04 | Ms. D. Swetha | M.C.A | Assistant Professor |
| 05 | Mr. K. Naveen Kumar | M. Tech | Assistant Professor |
| 06 | Mr. Mahesh Kumar K | M. Tech | Assistant Professor |
| 07 | Mr. Rohit Jain | ME (CSE) | Assistant Professor |
| 08 | Ms. Asha Simon | M. Tech | Assistant Professor |
| 09 | Mr. Mohammad Ummer Chopan | M. Tech | Assistant Professor |
| 10 | Mr. Anzar Iqbal | M. Tech | Assistant Professor |
| 11 | Mr. Aatif Bashir | M. Tech | Assistant Professor |
| 12 | Mr. Rahil Hussain | M. Tech | Assistant Professor |
| 13 | Mr. G.S.Nilavarasan | M. Tech | Assistant Professor |
| 14 | Ms. Megha Karil | M. Tech | Assistant Professor |
| 15 | Mr. N Sai Babu | B. Tech | Lab Programmer |
| 16 | Mr. Syed Aijaz Mumtaz | B. Tech | Lab Programmer |
| 17 | Mr.V.Sridhar Reddy | M. Tech | Lab Programmer |
Dr. Sheetal Kundra is the esteemed Head of the Department of Artificial Intelligence and Data Science at Guru Nanak Institute of Technology. With a robust academic background and extensive experience of 19 years in academics. Dr. Sheetal Kundra completed her Ph.D. in Computer Science & Engineering from IKGPTU, Punjab where she specialized in Artificial Intelligence. Her research interests include machine learning, deep learning, natural language processing, and big data analytics. Dr. Sheetal Kundra has published numerous papers in prestigious international journals and conferences, contributing significantly to the advancement of AI and Data Science. Dr. Sheetal Kundra has designed and delivered courses at both undergraduate and graduate levels, supervised student research projects and thesis, and provided guidance on academic and career-related matters. She is highly committed to advancing the state of the art in the field of Artificial Intelligence and Data Science and preparing the next generation of computer scientists and engineers for successful careers in industry and academia.
Mrs. G Celestina is working as an Associate Professor of the Department of Emerging Technologies at Guru Nanak Institute of Technology, Hyderabad. She completed her B.Sc CS from St. Pious X Degree and PG college ,Hyderabad in 2001, M.Sc CS from A.V College , Hyderabad in 2003, and M Tech . CS from T R R College of Engineering, Hyderabad in 2010. She has 15 years of teaching experience.
Mr. K.Surendra is currently working as Assistant Professor in Gurunanak Institute of Technology. He completed hisB.Tech from Pondicherry Central University in 2005 and M.Tech from JNTU College of engineering Hyderabad in 2009.He has qualifiedGATE examin 2006 and is having 15+ years of experience in reputed engineering colleges in Andhra Pradesh and Telangana.He is having morethan 10 publications in conferences and journals with ISSN and ISBN Numbers.
Ms. D. Swetha is currently working as Assistant Professor in the Department of Artificial Intelligence and Data Science (Emerging Technologies) at Guru Nanak Institute of Technology(Autonomous) Hyderabad. She did her M.C.A from St.Ann’s College for Women(Osmania University) and completed her M.Tech in Computer Science, from JNTUH College of Engineering (Autonomous) Hyderabad. She is parsuing Ph.D. in the specialization of Machine Learning at Bhartiya Engineering Science and Technology Innovation University, Anantapur. She has 8 years of Professional teaching experience at St. Francis College for Women, Begumpet, Hyderabad
Mr. K. Naveen Kumar is currently working as an Assistant Professor in the Department of Artificial Intelligence and Data Science at Guru Nanak Institute of Technology (Autonomous) Hyderabad. He did his B.Tech from JNTU-ANANTHAPUR and completed his M.Tech in Software Engineering, from Sree Vidyanikethan Engineering College (JNTUA). He is pursusingPh.D in Mohan Babu University and has 6.8 years of experience as Data Scientist and Data Analyst in various IT Industries and 2.2 years of professional teaching experience in Engineering college in Telangana and Andhra Pradesh.
Mr. Mahesh Kumar K is working as Assistant Professor in the Department of Artificial Intelligence and Data Science at Guru Nanak Institute of Technology, Hyderabad. He holds a B.Tech in Computer Engineering from JNTUH and M-Tech in Computer Sciences from Sri Indu Engineering College-JNTUH. His research interests include Machine Learning and Deep Learning.7.2 years of professional teaching experience in Engineering College in Telangana.
Rohit Jain is working as Assistant Professor in Department of Emerging Technologies at Guru Nanak Institute of Technology. He completed his BE CSE from BIST-RGPV Bhopal in 2010 and ME CSE from UIT-RGPV Bhopal in 2015. He has 07 years of teaching experience and qualified GATE exam multiple times. He has presented and published one paper in international conference published by Mc Graw Hill Education. His research interest includes Metaheuristic Techniques for NP hard problems, Soft Computing Techniques and interdisciplinary areas.
Ms. Asha Simon is currently working as Assistant Professor in the Department of Artificial Intelligence and Data Science (Emerging Technologies) at Guru Nanak Institute of Technology (Autonomous) Hyderabad. She did her B.Tech from Government Engineering College Trissur (APJ Abdul Kalam Technical University) and completed her M.Tech in Computer Science, First from TKM College of Engineering Kollam (APJ Abdul Kalam Technical University). She has 2 years of professional teaching experience.
Mr. Mohammad Ummer Chopan is working as Assistant Professor in the Department of Artificial Intelligence and Data Science at Guru Nanak Institute of Technology, Hyderabad. He holds a B-tech degree in Information technology and telecommunication Engineering from BGSBU Rajouri, J&K and M-Tech in Computer Sciences Engineering from Sharda University Greater Noida. His research interests include Machine Learning and Deep Learning. He has 1 year of professional teaching experience.
Mr. Anzar Iqbal is working as Assistant Professor in the Department of Artificial Intelligence and Data Science at Guru Nanak Institute of Technology, Hyderabad. He holds a B-tech degree in Information technology and telecommunication Engineering from BGSBU Rajouri, J&K and M-Tech in Computer Sciences Engineering from Sharda University Greater Noida. His research interests include Machine Learning and Deep Learning. He has published couple of research papers in reputed journals in the field of Machine learning. He has 1 year of professional teaching experience.
Mr. Aatif Bashir is working as Assistant Professor in the Department of Artificial Intelligence and Data Science at Guru Nanak Institute of Technology, Hyderabad. He holds a B-tech degree in Computer Science Engineering from BGSBU Rajouri, J&K and M-Tech in Computer Sciences Engineering from Uttarakhand Technical University, Dehradun. His research interests include Cloud Computing and DevOps. He has 1 year of professional teaching experience.
Mr. Rahil Hussain is working as Assistant Professor in the Department of Artificial Intelligence and Data Science at Guru Nanak Institute of Technology, Hyderabad. He holds a BE in Computer Engineering fromUniversity of Jammu and M-Tech in Computer Sciences fromUniversity of Kashmir. His research interests include Machine Learning and Deep Learning. He has 1 year of professional teaching experience.
Mr. G.S.Nilavarasan is currently working as Assistant Professor in the Department of Artificial Intelligence and Data Science (Emerging Technologies) at Guru Nanak Institute of Technology (Autonomous) Hyderabad. he did his Bachelor of technology from SRM INSTITUTE OF technology (Ramapuram) and completed his Master of technology in information security and cyber forensics in SRM institute of technology (katankulathur) . he has 6 months experience as an network engineer and 5 months experience in teaching . And also going to pursue cyber psychology in upcoming years
Megha Karil is working as an Assistant Professor at Guru Nanak Institute of Technology Hyderabad , she completed M. Tech with CSE from RGPV University Bhopal in 2019 with 80% .
She has 6 months teaching experience at Ujjain Government college and 4 years Industrial Experience as a SEO specialist at campfire media & A2digital solution. Her area of interest includes cms website development, networking, compiler, theory of computation, search engine optimisation
Mr. N Sai Babu is working asLab Programmer in the Department of Artificial Intelligence and Data Science at Guru Nanak Institute of Technology, Hyderabad. He holds a B.Tech in Computer Engineering fromScient Instituteof Engineering and technologyand pursuing M-Tech in Computer Sciences fromJNTUH. His research interests include Machine Learning and Deep Learning.
Mr. Syed Aijaz Mumtaz is working as a Lab Programmer in the Department of Artificial Intelligence and Data Science at Guru Nanak Institute of Technology, Hyderabad. He holds a B.tech in Computer Science and Engineering from the Baba Ghulam Shah Badshah University, Rajouri , Jammu and Kashmir. His research interests include Cloud Computing and DevOps.
Mr.V.Sridhar Reddy is working as a Lab Programmer in the Department of Artificial Intelligence and Data Science at Guru Nanak Institute of Technology, Hyderabad. He holds a B.Tech in ECE from the JNTUH And MTech in Embedded System from the JNTUH. His research interests include VLSI andARM microcontrollers.
Laboratories
Data Structures Lab
This lab is dedicated for students to practice data structures like stacks, queues and linked lists, implement searching and sorting algorithms, and acquire knowledge about applications of data structures. Students are made familiar with C, C++, JAVA programming and its applications. The latest platforms/compilers are provided to the students to run the programs.
Object Oriented Programming through Java Lab
This lab is dedicated for students to practice to develop programs with reusability Develop programs for file handling, handle exceptions in programming, develop applications for a range of problems using object-oriented programming techniques. This lab reinforces the understanding of basic object-oriented programming concepts (objects, classes and subclasses, methods) and their expressions in Java. Students get trained to analyse and design solutions for real world problems based on object-oriented principles and write simple Graphical User Interface (GUI) interfaces. This lab imparts hands on experience on abstract.
Operating Systems Lab
This lab has provided a platform to the students to study different operating systems such as windows 98/ME/XP, Unix & Linux. The objective of this lab is to provide practical exposure to students to simulate and implement operating system concepts such as scheduling, deadlock management, file management and memory management. Students also get trained on the implementation of various operating system concepts such as scheduling, deadlock management, file management and memory management. The latest platforms/compilers are provided to the students to run the programs.
Database Management Systems Lab
This lab is dedicated for students to work on practical experiments, projects and research work, related to courses such as Database Management Systems, Big Data Analysis. etc. The requirement of modern days is to have an automated system that manages, modifies and updates data accurately. This is achieved by a Database Management System in robust, correct and non redundant way. Through DBMS laboratory, students will get knowledge about the database environment, a way to manage data and access the data quickly and efficiently. The latest platforms and MySQL are provided to the students to run the programs.
Software Engineering Lab
This lab is dedicated for students to get hands on experience in developing a software project by using various software engineering principles and methods in each of the phases of software development. Students will be trained to translate end-user requirements into system and software requirements, generate a high-level design of the system from the software requirements and develop a simple testing report. The latest platforms and Star UML are provided to the students to run the programs.
Machine Learning Lab
This lab is dedicated for students to get hands on experience in Understand the concepts of computational intelligence like machine learning Ability to get the skill to apply machine learning techniques to address real-time problems in different areas Understand the Neural Networks and their usage in machine learning applications.
Software Testing Methodologies Lab
The lab is dedicated to provide a practical exposure to learn the concepts The students should be able to: Gain knowledge of phases in the life cycle of software development, project organization, project control and process instrumentation Analyze the major and minor milestones, artifacts and metrics from management and technical perspective Design and develop software product using conventional and modern principles of software project management.
Roll of Honour
Topper’s List (2023-2024)
| S. No | Name | Branch | Year | Position |
|---|---|---|---|---|
| 01 | SRIRAM RAMYA | AIDS | II | I |
| 02 | CHOURE SANGAMKAR ABHINAY | AIDS | III | I |
Topper’s List (2022-2023)
| S. No | Name | Branch | Year | Position |
|---|---|---|---|---|
| 01 | MANEKARI YESHWANTH | AIDS | II | I |
| 02 | THOKALA SRAVAN | AIDS | II | II |
Student Achievements
Felicitation of students from AI&DS for being runner up in Gusto state level Hyderabad tournament 2024
Avinash Reddy and his teamfromIV Year AI&DS has stood up as a runner up position in the cricketevent in Gusto 2024 Inter University Sports Tournament which was conducted on 13-15 March at GITAM, Hyderabad.
| S. No. | Name | Achievement | Certificates |
|---|---|---|---|
| 01 | Bejjanki Aishwarya | Certificate of IBM Skill Build Mastering Data with Machine Learning Internship |  |
| 02 | Aishwarya B | Certificate of Data Analytics and Visualization Job Simulation |  |
| 03 | Panyala Sathwik Reddy | Certificate of Virtual Internship program at Bharat intern |  |
| 04 | Drakshayani Orem | Certificate of Virtual Internship program at Bharat intern |  |
| 05 | Shaik Sheerin Tabassum | Certificate of Virtual Internship program at Bharat intern |  |
| 06 | Tejas Pawar | Certificate of Virtual Internship program at Bharat intern |  |
| 07 | Thokala Sravan | Certificate of International Level Student workshop on data science using python |  |
| 08 | Choutapally Abhinav | Certificate of International Level Student workshop on data science using python |  |
| 09 | Manekari Yeshwanth | Certificate of International Level Student workshop on data science using python |  |
Departmental Clubs
The Department of AI&DSestablished a Club named as “Data Pioneer Club”
Faculty Coordinators:
| S. No. | Name | Designation | Role |
|---|---|---|---|
| 01 | Dr. Sheetal Kundra | Associate Professor & HOD | Convenor |
| 02 | Yanda Sailaja | Assistant Professor | Coordinator |
| 03 | Mr. Rahil Hussain | Assistant Professor | Member |
| 04 | Mr. Anzar Iqbal | Assistant Professor | Member |
| 05 | Mr. Ummer Chopan | Assistant Professor | Member |
Student Coordinators:
| S. No. | Student Name | Roll Number |
|---|---|---|
| 01 | Sujith Sai | 22831A7266 |
| 02 | P. Rishik | 22831A7298 |
| 03 | Pawan sathvik | 22831A7295 |
| 04 | Vijaya Lakhshmi | 22831A7206 |
Data pioneers is an innovative technical club that focus on innovation and collaboration. It organizes events for skill development to empower the members to standout in the tech world.
Departmental Events
THE DEBUGGING GAUNTLET - 2025
The Data Pioneers Club of Artificial Intelligence and Data Science proudly presents THE DEBUGGING GAUNTLET, a premier event designed to test and enhance your debugging skills. Whether you are an aspiring programmer or a seasoned developer, this competition provides a platform to refine your problem-solving abilities, improve your logical thinking, and gain hands-on experience in identifying and fixing errors efficiently.
Participants were given real-world coding scenarios with bugs, and their task was to debug and optimize the code within the given time frame. This event not only challenged technical expertise but also enhanced analytical thinking and efficiency under pressure—crucial skills for any software developer or data scientist.
The event witnessed enthusiastic participation, with a total of 90+ participants competing from the 1st, 2nd, and 3rd-year students. The competition was judged by Ms. Sheetal Kundra (HOD) and Ms. Celestina (Associate Lecturer). The event coordinator was Mr. Anzar Iqbal.
Event Format
- Participants were given a set of coding problems containing intentional bugs.
- The challenge ran for 2 hours, during which participants had to debug and optimize the code.
- Each correct solution earned points. Winners were determined based on the highest scores achieved within the time limit.
- The difficulty level increased progressively, testing adaptability and advanced debugging skills.
- Speed and accuracy were key—participants who debugged efficiently had the edge.
Exciting Cash Prizes for Winners
To recognize and reward the best problem-solvers, the top three performers received cash prizes as follows:
- 1st Place – ₹1200
- 2nd Place – ₹800
- 3rd Place – ₹600
This challenge served as an excellent platform to test debugging expertise, compete with talented peers, and win exciting rewards. If you have a keen eye for spotting errors and a passion for coding, this was the perfect opportunity to showcase your skills!
Results
Winners from CSM 3rd Year:
- Dinesh Kumar Bottu
- Katipalli Rishith
2nd Place Winners from AIDS 3rd Year:
- K Krishna Vinayaka
- Gajula Nagaraju
3rd Place Winners from AIDS 3rd Year:
- Abhiram Manepalli
- Mohammad Sohail
Department conducted Hack-arena:
Quiz Mania:
Quiz Competition Organized By AI&DS Departments
*QuizMania: The Ultimate Trivia Extravaganza!*
QuizMania is an electrifying quiz event designed to challenge minds and spark excitement. Packed with a wide range of categories—from pop culture and history to science, sports, and beyond—it offers something for everyone. Whether you're a trivia pro or just looking for a fun time, QuizMania brings people together for a thrilling experience. Compete solo or team up with friends to tackle brain-teasing questions, enjoy lively competition, and stand a chance to win amazing prizes. With its engaging atmosphere and endless entertainment, QuizMania is the perfect event for knowledge seekers and fun lovers alike! 🎉
