AI - ML Department
The Department of Artificial Intelligence & Machine Learning at VVIT, established in 2022, offers a specialized Bachelor of Technology program dedicated to preparing the next generation of AI and ML experts. With an intake of 60 students each year, the program is designed to provide students with a comprehensive foundation in computer science principles while immersing them in advanced AI technologies like machine learning, deep learning, natural language processing, image processing, and big data analytics. By fostering critical skills and hands-on experience in analyzing, designing, and managing intelligent systems, this program equips graduates to meet the high standards of the AI-driven industry. With a curriculum that emphasizes both academic rigor and practical skill-building, the course enables students to enter the competitive AI and ML fields with confidence, well-prepared for a bright and impactful career.
Our department is led by highly qualified faculty with a wealth of industry and teaching experience, which allows them to blend theoretical knowledge with real-world applications. This fusion of academic depth and practical relevance sets our students apart, giving them an edge in adapting to the rapidly evolving demands of the technology sector. We offer state-of-the-art laboratories equipped with the latest branded desktops and high-speed internet connections to support research, collaboration, and discovery. In addition to cutting-edge resources, our dedicated collection of reference books and software packages empowers students to delve deeply into their studies. With a vision that reaches far beyond local impact, the department is committed to producing graduates who contribute to global advancements in AI and ML, making VVIT a transformative hub for future leaders in this exciting field
Rapid Growth: Artificial Intelligence (AI) and Machine Learning (ML) are among the fastest-growing fields in the technology sector.
Career Upskilling: Continuous skill development is essential in IT, and AI/ML is highly relevant for those looking to advance
Data-Driven Economy: AI/ML skills are increasingly valuable in a world focused on data-driven operations.
Job Market Demand: There is significant demand for AI/ML professionals across many roles, as the field offers promising career prospects.
Educational Opportunities: Graduates in AI/ML have the option to pursue further research and advanced studies at leading institutions globally.
Diverse Applications: AI is utilized across various industries, including healthcare, transportation, security, gaming, finance, customer support, and many more.
Career Options in AI: Roles include Big Data Engineer, Data Scientist, Machine Learning Engineer, AI Analyst, and Robotics Scientist, among others.
Future-Proof Field: Despite automation concerns, there is ample opportunity in AI/ML, with automation enhancing rather than fully replacing human roles.
Scope and Opportunities of the course ?
Uncover the depths of AI & ML and unlock a world of possibilities as you delve into this comprehensive course, designed to equip you with the skills and knowledge to excel in career paths or further studies.
Syllabus & Program Outcome
Course Offered
B.E. (Artificial Intelligence & Machine Learning)
Approved Intake – 60
Department Faculty
Welcome to the Department of Artificial Intelligence & Machine Learning—a hub of innovation, excellence, and transformative education. Established with the vision of delivering world-class education in Information Technology, the department is committed to empowering students with the skills, knowledge, and creativity needed to excel in the ever-evolving landscape of AI and machine learning. Equipped with cutting-edge infrastructure, diverse computing platforms, and a dynamic curriculum, we strive to meet the growing demands of the IT industry. Under the strategic leadership of the department, we not only drive advancements in research and innovation but also shape students into forward-thinking professionals ready to tackle global challenges. Here, brilliant minds converge to collaborate on interdisciplinary projects, push the boundaries of ethical AI, and redefine what’s possible in technology. We extend our best wishes to every student, encouraging them to embrace a disciplined, innovative, and impactful future.
Faculty
Professor & HOD
Wireless Sensor Network
Email: naveen.ghorpade@gmail.com
Associate Professor
Mobile Cloud computing
Email: venkatagiri09@gmail.com
Assistant Professor
Computer Science & Engineering
Email:amala.b65@gmail.com
Assistant Professor
Computer Network Engineering
Email:gohilkywati.m23@gmail.com
Assistant Professor
Software Engineering
Email:vbsvathsala1@gmail.com
Assistant Professor
Computer Network Engineering
Email:aayushpou@gmail.com
Lab Instructor
Email:arshiyateheen80@gmail.com
In the last academic year alone, the students & staff of Department of Computer Science and Engineering have published several papers in various National & International Journals and Conferences.
Papers published by Faculty
- Prof Mangala M Patil has presented a paper “Cloud Computing for Remote Users using RSA Algorithm” in International Conference Organized by VVIT.
- Prof Prasad P S has presented a paper “Attribute based Encryption for Scalable and Secure Sharing of Personal Health Records in Cloud Computing” in International Conference.
- Prof Gowthami B S has presented a paper “Self Certified Authenticated Key Generation & Agreement Protocol for VPNS based on Certificateless Cryptography” in International Conference.
- Prof Mangala M Patil has attended the Symposium on “Women Empowerment” Organized at Visvesvaraya Technological University, Regional Office, Bangalore.
- Prof Arati M C has attended the Symposium on “Women Empowerment” Organized at Visvesvaraya Technological University, Regional Office, Bangalore.
Papers published by Student
- Suhas M has presented a paper entitled “Reducing the number of Base stations and Replacing them with SDN-controller in clouds” at the International Conference on Computer Science and Mechanical Engineering (ICCSME) held at Bengaluru on 11. September 2016.
- Vidhya Shree has presented a paper entitled “Reducing the number of Base stations and Replacing them with SDN-controller in clouds” at the International Conference on Computer Science and Mechanical Engineering (ICCSME) held at Bengaluru on 11. September 2016.
- One day workshop on ‘Internet of Things’ was organized by department of CSE in association with department of E&C on 4th April 2017
- Sonia Alice George, student of Computer Science has secured 90% aggregate in VTU examinations.
- Sushant Sharma, Shreyas G of VI Sem CSE and Sudhanshu Sharma, Yogesh Sharma of VIII Sem CSE has participated in “South Zone(Handball)” held at Vijaya Vittala Institute of Technology on March 2014-2015 and Secured Runner-ups in Hand Ball Torunament.
- Sushant Sharma of VI Sem CSE and Sudhanshu Sharma, Yogesh Sharma, Kirthi H of VIII Sem CSE has participated in “South Zone(Basketball)” held at Nitte Meenakshi Institute of Technology, Bangalore.
- Shashi Kumar of VI Sem CSE has participated in “National level Documentary Movie making Competation” held at Oxford college of Engineering, Bangalore & Secured 2nd prize.
- Shashi Kumar of VI Sem CSE has participated in “Inter college level cultural Competition” held at CMRIT college fest, Secured 2nd prize in “Pakka Kannadiage Competition”.
B.E
Name of Laboratory with Subject Code
- Object Oriented Programming with JAVA Laboratory (PCC 21CSL35)/(BCS306A)
- Data Structures Laboratory (IPCC 21CS32)/(PCCLBCSL305)
- Analog and Digital Electronics(IPCC 21CS33)/Digital Design & Computer Organization(IPCCBCS302)
- Design and Analysis of Algorithm Laboratory (IPCC 21CS42)
- Microcontroller and Embedded Systems Laboratory (IPCC 21CS43)
- Python Programming Laboratory(PCC 21CSL46)
- Computer Network Laboratory (IPCC 21CS52)
- DBMS Laboratory with mini project (PCC 21CSL55)
- C# and Net Framework Laboratory(21CSL582)
- Data Science and its Applications(IPCC 21AD62)
- Machine Learning Laboratory (PCC21AIL66)
- Operating Systems(IPCCBCS303)
Workshop
Machine Learning and Its Imapct on Natural Language Processing and Information Retrieval
Date: 24-04-2018
Time: 10:30 AM to 12:00 PMKeynote Speaker
Mr. Arjun Atreya V., Artificial Intelligence Specialist, AL Lab, Accenture Operations, Bengaluru.
Mr. Syam Kakumani, Founder of Peppy Learning Solutions, Bengaluru.
Mr. Prabhavathi M. Member(Research Staff), Central Research Laboratory, Bharath Electronics Limited, Bengaluru.
USN | NAME | SEM | PERCENTAGE | CLASS |
---|---|---|---|---|
1VJ13CS022 | Rashmi M N | 8th(pass out) | 82.2 | FCD |
1VJ13CS024 | S Vinutha | 8th(pass out) | 80 | FCD |
1VJ14CS040 | Rashmi H R | 7th sem | 70 | FCD |
1VJ14CS002 | Akash Gupta | 7th sem | 67 | FC |
1VJ14CS040 | Rashmi H R | 6th sem | 77.4 | FCD |
1VJ14CS050 | Tellur Neeharika | 6th sem | 72.4 | FCD |
1VJ15CS052 | Sheethal C G | 5th sem | 76.6 | FCD |
1VJ15CS025 | Lavanya N C | 5th sem | 74 | FCD |
1VJ15CS052 | Sheethal C G | 4th sem | 75.25 | FCD |
1VJ15CS038 | Priyanka H | 4th sem | 70.5 | FCD |
1VJ16CS027 | Irum Hussain | 3rd sem | 74.3 | FCD |
1VJ16CS011 | Arindam Paul | 3rd sem | 67.3 | FC |
1VJ16CS018 | Chandresh K S | 3rd sem | 67.3 | FC |
1VJ16CS027 | Irum Hussain | 2nd sem | 9.83 | FCD |
1VJ16CS039 | Nishmitha G | 2nd sem | 8.33 | FCD |
1VJ17CS037 | Umesh Rokaya | 1st sem | 8.58 | FCD |
1VJ17CS012 | Ashwini G | 1st sem | 8.33 | FCD |
1VJ16CS027 | Irum Hussain | 1st sem | 9.42 | FCD |
1VJ16CS009 | Anshu Kumar | 1st sem | 7.92 | FC |
- Miss Irum Hussain has scored 91 in Eng-Mathematics_ I, 94 in Programming in C and Data Structures and 93 in Electronics in I sem.
- And also Miss Irum has secured a grade S+(10) in Eng-Mathematics _ II and Engineering Physics.
NAME | SEMESTER | USN | PERCENTAGE | CLASS |
---|---|---|---|---|
Mtech | ||||
Praveen K S | III | 1VJ14SCN01 | 94% | FCD |
Patil Bhagyashree | I | 1VJ15SCN01 | 65% | FCD |
B.E | ||||
Sonia Alice George | VIII | 1VJ12CS037 | 83% | FCD |
Chandana N | VIII | 82.4% | FCD | |
VidhyaLakshmi k S | VI | 1VJ13CS034 | 73.4% | FCD |
Rashmi M N | VI | 1VJ13CS022 | 73% | FCD |
Manisha J | IV | 76% | FCD | |
Kriti Raushan | IV | 67% | FCD | |
Sheetal | II | 1VJ15CS052 | 8.5 CGPA | FCD |
Nikhita Y | II | 1VJ15CS063 | 8.17 CGPA | FCD |



