PESITM -PES Insititute of Technology & Management

About Department & Course

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.

Salient Features:

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.

Outcome Based Education

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.

As Defined by National Board of Accreditation (NBA):-

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.

Dr. Likewin Thomas

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

Ms. Shilpa M I

Assistant Professor

Mrs. Akhila C V

Assistant Professor

Ms. Ruchitha M

Assistant Professor

Mrs. Afshan Mohammadi

Assistant Professor

Ms. Mamata C B

Office Assistant

Mr. Vinay Gowda S R

Programmer

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.

LAB-1
LAB-2

Machine Learning Lab

Machine Learning Lab is to develop autonomous decision-making systems, which close the perception-action-learning loop while learning from small amounts of data.

Micro Controller & ADE Laboratory

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

Focus of Research-
Research Grants

Artificial intelligence and Machine Learning research aims at building intelligent algorithms/systems that learn from real data to form predictive models that can make predictions and decisions.

Deep Learning and Neural Networks.
Natural Language Processing (NLP)
Reinforcement Learning
Explainable AI (XAI)
Human-AI Collaboration
AI for Healthcare
AI and IoT (Internet of Things)

Research Grants:

Dr Likewin Thomas has been awarded with Rs 25,00,000/- (Rupees Twenty-Five Lakh) VGST grant for the topic “Facial Attendance System, Emotion Recognition and Interest/ Disinterest Recognition” under CISEE Scheme and GRD No 857.
Received Rs 2 Lakhs from VTU Competitive Research Funding Scheme, under TEQIP 3 (VTU TEQIP Cell) with the order number VTU/TEQIP 3/ 2019/321 for the project End-to-end Verifiable and Preferential Strategy based Electronic Voting System Using Delegated Proof of Stake on Blockchain.
Received Rs 25 Lakhs from VGST CISEE Scheme with order number VGST/GRD-857/2019-20/2020-21/250 for the project Facial Attendance System, Emotion Recognition and Interest/ Disinterest Recognition.
Received AICTE SPICES grant fund of Rs1,00,000/- from AICTE.

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

Student Achivements

#No.	Description
1	Dhanya R represented the PESITM, Shivamogga and has secured Runner up place in the VTU central Karnataka division inter collegiate Throw ball women tournament competition held at SIET, Tumkur from 12-12-2024 to 13-12-2024.
2	Mr. Supraj S Sheeryada and Mr. Darshan G M has been awarded the consolation prize in HackTechFusion 2.0 event held on 06-06-2024 and 07-06-2024 organized by department of ISE and CSBS at BIET, Davanagere in collaboration with IEE, NAIN, ISTE and IEI.
3	Mr. Rahul Bilki, Mr. Prabhanjana K, Mr. Farhan Khan K A and Mr. Harsha T R has been awarded the second place in HackTechFusion 2.0 event held on 06-06-2024 and 07-06-2024 organized by department of ISE and CSBS at BIET, Davanagere in collaboration with IEE, NAIN, ISTE and IEI.
4	Gagandeep of 7th semester won first place in VTU cricket tournament held at PESITM, Shivamogga.
5	Mr. Srinivasa Somayaji secured 6th place in Manthan is an annual business plan competition organized by the Federation of Karnataka Chambers of Commerce & Industry (FKCCI) to foster entrepreneurship and innovation among students and startups.
6	Mr. Eeshan V C, Mr. Harsha T R, , Mr. Prabhanjana K for recognizing as one of the best performing team in idea pitching session in innovation, design and entrepreneurship (IDE) bootcamp from 23-09-2024 to 27-09-2024 at NITK, Surthakal organised by AICTE and MIC.
7	Mr. Surya S R represented PESITM, Shivamogga and first place in weight lifting (102 KG) inter collegiate VTU state level tournament held at Alvas Institute of Engineering and Technology on 12-11-2024.
8	Mr. Vishwakiran C S, Mr. Rahul C S, Mr. Yogeshwar Gowda, Mr. Rahul Bilki, Mr. Supraj S Sheeryada, Mr. Darshan G M, Mr. Rajath R Pai, Ms. Priyanka, Ms. Varshini T Naik and Mr. Siddanna M D were participated in 24 hours National Level hackathon “WAVE-2.0”, organized by BEC-AICTE IDEA laboratory, Basaveshwar Engineering College, Bagalkote on 01-07-2024 and 02-01-2024.
9	Mr. Gagan K I stood 4th place in the 2024 region finals of tcs Techbytes an inter college quiz on IT organized by TATA consultancy services and board for IT education standard, Government of Karnataka.
10	Ms. Sneha P actively participated in Yuva Sangam youth exchange program, an intiative by the Government of India under the aegis of Ek Bharat Shreshta Bharat held at Indian Institute of Technology Kanpur from 03-03-2024 to 07-03-2024.