The Department of Artificial Intelligence and Machine Learning (AI&ML) is dedicated to academic excellence, research, and technological advancement. We are proud to announce the establishment of a Centre for Research and Innovation, reinforcing our commitment to fostering cutting-edge research and development.
Our department provides state-of-the-art infrastructure and computational resources to support the diverse needs of students and researchers in AI&ML. Through a dynamic learning environment, we aim to equip students with the knowledge and skills necessary to drive innovation and solve complex real-world challenges.
The Department of Artificial Intelligence and Machine Learning (AI&ML) at JPNCE is committed to providing students with a strong foundation in the theoretical and practical aspects of AI and ML. Our mission is to develop future leaders in industry and academia, both nationally and globally, by fostering innovation, critical thinking, and ethical AI practices. Additionally, we strive to address the evolving challenges and technological advancements in AI&ML to contribute meaningfully to national and global progress.
Our vision is to uphold and enhance our rigorous 4-year full-time Professional Program in Artificial Intelligence and Machine Learning, a flagship initiative since 2022. Designed for aspiring professionals, this program aims to cultivate expertise in AI&ML through a comprehensive curriculum, hands-on learning, and industry-aligned training. Graduates of the program will earn a prestigious professional certification, equipping them to excel in the rapidly evolving AI landscape.
The Department of Artificial Intelligence and Machine Learning (AI&ML) has established a dynamic ecosystem focused on cutting-edge pedagogy and research, offering a comprehensive B.Tech program in AI&ML. Our distinguished faculty, specializing in diverse AI&ML domains, ensures a multidisciplinary learning experience that prepares students for impactful careers in AI-driven innovation.
This program equips students with advanced problem-solving skills and research acumen, fostering expertise in specialized areas such as Computer Vision, Natural Language Processing, Generative AI, Explainable AI, Robotics, and Autonomous Systems. Additionally, students explore interdisciplinary fields including Neuroscience, Edge Computing, Quantum Machine Learning, and the Internet of Things (IoT), positioning them at the forefront of AI advancements.
The Department of Artificial Intelligence and Machine Learning (AI&ML) at JPNCE is dedicated to advancing AI&ML education, research, and innovation. Recognizing the transformative role of AI&ML in modern technology, we offer a comprehensive B.Tech program designed to equip students with the expertise required to develop cutting-edge AI solutions. With a strong emphasis on interdisciplinary research and industry collaboration, our department remains at the forefront of AI advancements.
Our state-of-the-art infrastructure fosters an enriching learning environment, featuring dedicated seating areas, classrooms, and conference rooms. Additionally, our advanced computational labs are equipped with high-performance GPU servers and deep learning workstations, capable of supporting up to 240 students. These facilities enable faculty and students to conduct groundbreaking research, both independently and in collaboration with government and industry partners.
As part of our continued expansion, we have recently established an AI&ML Research Center, equipped with high-performance GPU-based servers to support advanced research initiatives. Furthermore, our department has forged strategic partnerships to launch an Artificial Intelligence Technology Centre, reinforcing our commitment to excellence in AI&ML education and research.
| S.NO | Name of the Lab | Room No. | Equipments |
|---|---|---|---|
| 1 | IT Workshop Lab | 120 | 60 Systems(1 GB RAM, 500GB Hard Disk, Pentium Core Processor) |
| 2 | C Language Lab | 121 | 60 Systems(1 GB RAM, 500GB Hard Disk, Pentium Core Processor) |
| 3 | Systems Lab | 122 | 60 Systems(1 GB RAM, 500GB Hard Disk, Pentium Core Processor) |
| 4 | Programming Lab | 123 | 60 Systems(1 GB RAM, 500GB Hard Disk, Pentium Core Processor) |
| 5 | OS Lab | 125 | 60 Systems(1 GB RAM, 500GB Hard Disk, Pentium Core Processor) |
| 6 | Online Lab - 1 | 126 | 60 Systems with Thin Clients (4 GB RAM, 1 TB Hard Disk, Core2DUO Processor) |
| 7 | Online Lab - 2 | 176 | 60 Systems with Thin Clients (4 GB RAM,1 TB Hard Disk, Core2DUO Processor) |
I – II Laboratories
CP Lab
II – II Laboratories
CO Lab
DBMS Lab
OS Lab
GS Lab
III – II Laboratories
CT & WT Lab
ACS Lab
Projects
14 Batch Projects
Our department is fully equipped with good internet speed, where
students have a privilege of learning through online courses.
will be updated soon....
1. M. Bharathi reviewed the paper "Automation, Artificial Intelligence And The Future Of Work In Key Industries In Rivers State" for the Journal of Basic and Applied Research International (WoS Indexed).
2. Dr. T. Aditya Sai Srinivas served as a reviewer for the International Conference on Health Informatics, Intelligent Systems and Networking Technologies (HINT’24) organized by Manipal Institute of Technology on March 14th and 15th, 2024.
3. Dr. T. Aditya Sai Srinivas served as a reviewer for the Algorithms and Computational Theory for Engineering Applications (ICACTEA-2024) international conference, hosted by Aditya Engineering College on February 2nd and 3rd, 2024.
4. M. Bhuvaneswari reviewed the textbook "Unlocking the Complexity of the Mind: A Comprehensive Statistical Exploration of Network Neuroscience and Brain Connectivity" for BP International Publications.
Name of the faculty:Mrs. M. Bharathi
Patent
Application number: 202411002822.
Patent Title: Exploring The Role Of Machine Learning In Human Addictive Behavior
Prediction Among College Students In India.
Status: Published.
Name of the faculty:Dr. T. Aditya Sai Srinivas
Reviewer
1. Acted as a reviewer for international conference on “Algorithms and Computational Theory
for Engineering Applications (ICACTEA-2024)” organized by Aditya Engineering College
on February 2nd &3rd 2024.
2. Acted as reviewer for five Web of Science(WoS) Journals
i. Journal: Advances in Research; Paper Title: Exploring the Challenges of Artificial
Intelligence in Data Integrity and Its Influence on Social Dynamics.
ii. Journal: International Journal of Environment and Climate Change; Paper Title:
Geospatial Interpolative Analytics of Gauged Rainfall in Network under Semi-arid
Situation of Krishna Basin on a Watershed Scale.
iii. Journal: Asian Journal of Medicine and Health; Paper Title: The Pros and Cons of the
Impact of Artificial Intelligence in Anesthesia: Remote Pre-operative Assessment and
Perioperative Care.
iv. Journal: IGI Global; Paper Title: Power-Aware Virtualization: Dynamic Voltage
Frequency Scaling Insights and Communication-Aware Request Stacking.
v. Journal: IGI Global; Paper Title: AI Solutions for Green Computing and Digital Waste
Management.
Certificate of Excellence in Reviewing Journal
Journal: Journal of Cancer and Tumor International
Paper Title: Recent Progress and Current Status of Artificial Intelligence and Machine Learning in Gastric Cancer: A Systematic Review
Patents
1. Application number: 202411002924;
Patent Title: “Deep Learning Based Approaches
For Student Performance Prediction And Education Based Outcome
Improvement”.
Status: Published.
2. Application number: 202441000552;
Patent Title: “Deep Learning Framework For
Image-Based Breast Cancer Detection”.
Status: Published.
Editorial board membership
Editorial board member in following journals
1. Advancement Of Computer Technology And Its Applications:-
http://hbrppublication.com/Advancement_of_Computer_Technology_and_its_Applic
ations_Editors.htm
2. Recent Trends In Information Technology And Its Application:-
http://hbrppublication.com/Recent_Trends_in_Information_Technology_and_its_App
lication_Editors.htm
3. Journal Of Network Security And Data Mining:-
http://hbrppublication.com/Journal_of_Network_Security_and_Data_Mining_Editors.
htm
4. Journal Of Advancement In Software Engineering And Testing:-
http://hbrppublication.com/Journal_of_Advancement_in_Software_Engineering_and_
Testing_Editors.htm
5. Journal of Intelligent Data Analysis and Computational Statistics:-
https://matjournals.com/Editorial-Journal-of-Intelligent-Data-Analysis-andComputational-Statistics.html
6. Journal of Knowledge in Data Science and Information Management:-
https://matjournals.com/Editorial-Journal-of-Knowledge-in-Data-Science-andInformation-Management.html
7. Journal of Artificial Neural Networks and Learning System:
https://matjournals.com/Editorial-Journal-of-Artificial-Neural-Networks-and-Learning-System.html
8. Journal of IoT-based Distributed Sensor Networks:
https://matjournals.com/Editorial-Journal-of-IoT-based-Distributed-Sensor-Networks.html
Certifications
1. Web of Science Essentials, by Clarivate for both M. Bharathi and T. Aditya Sai Srinivas
2. Fundamentals of manuscript preparation, by Elsevier for both M. Bharathi and T. Aditya Sai Srinivas
