ARTIFICAL INTELLIGENCE AND MACHINE LEARNING

About the department :

The Department of Artificial Intelligence and Machine Learning (AI&ML) proudly announces the establishment of a dedicated Centre for Research and Innovation. Our department is committed to serving the diverse computing and resource requirements of students enrolled in AI&ML programs at our esteemed institution.

The Department of Artificial Intelligence and Machine Learning (AI&ML) proudly announces the establishment of a dedicated Centre for Research and Innovation. Our department is committed to serving the diverse computing and resource requirements of students enrolled in AI&ML programs at our esteemed institution.



Mission

The Department of Artificial Intelligence and Machine Learning (AI&ML) at JPNCE is dedicated to equipping students with a comprehensive grasp of the fundamental theories and practical applications of AI&ML. Our mission extends to nurturing students into future leaders in both industry and academia, both nationally and globally. Additionally, we are committed to addressing the critical needs of our nation in the rapidly evolving fields of Artificial Intelligence and Machine Learning.

Vision

Our vision is to continue offering a rigorous 4-year full-time Professional Program in Artificial Intelligence and Machine Learning, a cornerstone of our academic offerings since 2022. Tailored for aspiring Young Professionals, this program is designed to cultivate unparalleled expertise in AI&ML, culminating in professional certification conferred by our esteemed institution.


Educational Objectives

The Department of Artificial Intelligence and Machine Learning (AI&ML) has cultivated a robust ecosystem dedicated to pedagogy and research in AI&ML, offering a comprehensive B.Tech program in the field. Our distinguished faculty members specialize in various facets of AI&ML, facilitating a multifaceted learning experience. This program not only primes students for a plethora of career prospects in innovative problem-solving leveraging AI&ML but also amplifies the scope of research in these domains. Additionally, students have the opportunity to delve into specialized areas such as Computer Vision, Natural Language Processing, Robotics and Autonomous Systems, alongside interdisciplinary fields including Neuroscience, Edge Computing, and the Internet of Things.


Department Overview

In recognition of the integral role that Artificial Intelligence and Machine Learning (AI&ML) play in modern technology, the Department of AI&ML at JPNCE offers a comprehensive B.Tech program tailored to equip students with the knowledge and skills necessary to understand and develop AI&ML solutions. With a steadfast commitment to innovation and interdisciplinary research, our department is at the forefront of pioneering efforts in AI&ML. Our department provides a conducive learning environment, boasting dedicated seating areas, classrooms, and conference rooms for students. Moreover, our well-equipped labs feature state-of-the-art computational facilities, including numerous GPU servers and deep learning computers, capable of accommodating up to 240 students. These facilities are utilized by both faculty and students to conduct cutting-edge research in AI&ML, both independently and in collaboration with government and industry partners.

As the Department of AI&ML @ JPNCE continues to expand, we have recently enhanced our infrastructure with the procurement of new state-of-the-art technology, including an AI&ML center equipped with various GPU-based servers for advanced research endeavors. Furthermore, we have forged strategic partnerships to establish an Artificial Intelligence Technology Centre, further solidifying our commitment to excellence in AI&ML education and research.




Faculty & Staff

Dr. T. Aditya Sai Srinivas
Assistant Professor
JNTUH REG ID: 8501-231020-140140
Qualification: B.Tech(CSE), M.Tech(CS), Ph.D.(VIT, Vellore)
Experience: 12+ Years
Contact:taditya@jpnce.ac.in
Research Publications: 40+
Goodle Scholar: Click Here
Subjects Taught: C, Web Technologies, CN, OS, Mobile Computing, IPR, DBMS.
Area of Interest: Internet of Things(IoT), Data Science, Machine Learning(ML).


Munnuru Bharathi
Assistant Professor
JNTUH REG ID: 0371-150413-164602
Qualification: B.E (CSE), M.Tech(SE)
Experience: 6+ Years
Contact:bharathi@jpnce.ac.in
Research Publications: 20+
Goodle Scholar: Click Here
Subjects Taugh`t:
COA, FLAT, CD, DCCN, DM, PPL
Area of Interest: Deep Learning(DL), Data Science, Machine Learning(ML).


SYEDA HIFSA NAAZ
Assistant Professor
JNTUH REG ID: 5201-211218-162040
Qualification: M.Tech
Experience: 2+Years
Contact: hifsa.naaz@jpnce.ac.in
Research Publications: 1
Goodle Scholar: Click Here

Subjects Taught: SPPM , Machine Learning .
Area of Interest: Edge Computing, Data Science, Machine Learning(ML).


M. Bhuvaneswari
Assistant Professor
JNTUH REG ID: 4945-161220-143237
Qualification: M.Tech
Experience: 3+ Years
Contact: bhuvana.maram@jpnce.ac.in
Research Publications: 6
Goodle Scholar: Click Here

Subjects Taught: SPPM , Machine Learning .
Area of Interest: Edge Computing, Data Science, Machine Learning(ML).


M. Hanmanthu naik
Assistant Professor
JNTUH REG ID: 0240-150411-164227
Qualification: M.Tech
Experience: -
Contact: hmtnaik@gmail.com
Research Publications: -
Goodle Scholar: Click Here

Subjects Taught:
Area of Interest: Machine Learning(ML).


LABS & INFRASTRUCTURE

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.

EVENTS

will be updated soon....

ACHIEVEMENTS/PLACEMENTS

Professional Achievements by AIML Staff

Year 2024

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