The Department of Artificial Intelligence and Machine Learning (AI & ML) started in 2021, offers a vibrant learning environment. With a team of well-qualified faculty and best-in-class infrastructure to deliver an outstanding educational experience that empowers students to develop a strong foundation in Artificial Intelligence and Machine Learning. The department remains at the forefront of innovation by hosting various events, including international and national conferences, faculty development programs, workshops, learnathons, and hackathons that provide valuable learning opportunities for students and faculty. This network opens doors for internships, placements and collaboration by ensuring the students stay connected to the ever-evolving world of technology. Artificial Intelligence and Machine Learning focus on shaping the next generation of software engineers through quality education and research.
- Value-based, Activity-based and Need-based (VAN) Education.
- Entrepreneurship and Start-Up.
- Outside World communication.
- Incubation Centre
- Student Development Programs.
- NSS Camp.
- Adoption of School as a Social Connect Responsibility.
- Industry and Academic Visit.
- Project Based Learning.
- Mentoring System.
- Certification Courses.
- Add-On courses.
To be the frontiers of AIML and to nurture ethically grounded professionals who can contribute innovatively to society while cultivating global competency through research, entrepreneurship and innovation.
Mission 1: Provide top-notch AIML education that includes ethics, preparing professionals to use technology for good.
Mission 2:Support innovative and entrepreneurial thinking in AIML, turning ideas into impactful solutions.
Mission 3:Promote teamwork across disciplines and cultures to solve global challenges with AIML.
To conceptualize, analyze, design and develop IT Solutions of varying complexities by leveraging advances in computer technology.
To apply standard practices and strategies in software project development and management using industry-wide bench marked framework to deliver a sustainable quality product.
To work as a team player in a cross-cultural environment with a passion for entrepreneurship and a zest for higher studies.
Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization for the solution of complex engineering problems.
Problem analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
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 public health and safety and cultural, societal, and environmental considerations.
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.
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.
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.
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.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communication: Communicate effectively on complex engineering activities with the engineering community and with the 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.
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.
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.
Build skills to develop software applications in specialized areas of Computer Science and Engineering such as Artificial Intelligence, Machine Learning, Data Science, Web Development, Gaming, Augmented Reality / Virtual Reality (AR/VR).
Focus on exploring supervised, unsupervised and reinforcement learning and apply them to a range of AI problems.
Develop an understanding of the evolution of AI and future developments in the AI revolution.
Faculty
Dr. Likewin Thomas
Associate Professor & HOD
Mr. Sandeep Telkar R
Assistant Professor
Mrs. Poornima BP
Assistant Professor
Mrs. Tejaswini N D
Assistant Professor
Mrs. Shilpa K C
Assistant Professor
Mamata C B
Office Assistant
Facilities / Labs
Incubation Cente
The Incubation center aims to provide a key technology milestone in AI and Robotics that will lead to societal impact by executing research in healthcare,agriculture,infrastructure,retail,and business and many more.
Machine Learning Lab is to develop autonomous decision-making systems, which close the perception-action-learning loop while learning from small amounts of data.
- Digital IC Trainer kit
- Decade resistance box
- Ammeter 0-25ma
- Voltmeter 0-30v
- Potentiometer-20k
- Resister1/2wcer
- Capacitoro.1
- Capacitoro.47
- Capacitor 100mf
- MOSFETIRF 740
- Bread board
- D.C multi output power supply
- 0-300/2a,+/-5v
- Digital IC Tester DIT-2040 make MINMax, Digital Multimeter Model 92A
- Power supply/-12V
- ALS-NIFC-01A
- Steppermotor(I/Fcard+motor)
- Power supply(5v,1A)
Research and Development
Artificial intelligence and Machine Learning research aims at building intelligent algorithms/systems that learns from real data to form predictive models that can make predictions and decisions.
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Research Grants:
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Memberships/MOU
Memberships
| Professional Membership | ISTE, IE |
| Student Membership Chapters | IEEE, Google Developers |
| Institutional Membership | ICT Academy |
MOU’s
| #No | Collaboration | Address | Year of Collaboration |
| 1 |  |
5th Floor, 91Springboard #175, Bannerghatta Rd Dollars Colony, Phase 4 J. P. Nagar, Bengaluru | 2022-2023 |
Department Achievements
| #No. | Description |
|---|---|
| 1 | Mr. Samartha M J, Sakib and Prabhanjan secured first place at the center level and second place in National Level for 36 hours IEEE CodeXpress Hackathon held at PESITM by IEEE Bangalore during 29-30, April 2023. |
| 2 | Mr. Prajwal & Mr Farhan Khan K A secured First place in Vistara-Technical paper presentation conducted under Sankalpa-A state level Technical Fest during 21-June-2023. |
| 3 | Mr. Harsha of Second year and Mr Bhuvan & Mr Pavan Bindre of first year secured 4th place in Evolve- 36 Hours Hackathon sponsored by IBM and conducted by BMSIT Bangalore during 15 th to 17 th 2023. |
| 4 | Mr. Surya S R of 4th Semester student participated in VTU state level BEST Physique (Men) and Weight lifting (Men and Women) championship and selection trials held at Vemana Institute of Technology, Bengaluru on 1st and 2nd September, 2023. |
| 5 | Mr. Vaibhav U R of 4th Semester student participated in VTU Power lifting held at Gotge Institute of Technology, Belgaum on 7th and 8th September, 2022. |
| 6 | Mr. Prajwal of 4th semester was selected for one-week completely sposnored AICTE sponsored YUVA SANGAM program to Assam on 24th of Febrauary, 2023 and Madhya Pradesh on May 2nd 2023. |
| 7 | Mr. Samarth & Rahul Bilki of 4th semester was selected to final round of Manthan 2023 for establishing their business ideas on Bio Fuel. |
| 8 | Ms. Nidhi of first semester was selected to final round of Manthan 2023 for establishing their business ideas on Assistive technology for Blind. |
News and Events
News Letter
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Contact Us
Dr. Likewin Thomas
Associate Professor and Head,
Artificial Intelligence and Machine Learning
PES Institute of Technology and Management
NH 206, Sagar Road, Shivamogga – 577 204
Office- 9620567222
Email- hodaiml@pestrust.edu.in
Dr. Likewin Thomas
Associate Professor and Head, Artificial Intelligence and Machine Learning
PES Institute of Technology and Management
NH 206, Sagar Road, Shivamogga – 577204
Office- 9483503377
Email- hodaiml@pestrust.edu.in