माधव प्रौद्योगिकी एवं विज्ञान संस्थान, ग्वालियर (म.प्र.), भारत
Madhav Institute of Technology & Science, Gwalior (M.P.), INDIA

Deemed University

(Declared under Distinct Category by Ministry of Education, Government of India)

NAAC ACCREDITED WITH A++ GRADE

माधव प्रौद्योगिकी एवं विज्ञान संस्थान, ग्वालियर (म.प्र.), भारत

Deemed to be University

(Declared under Distinct Category by Ministry of Education, Government of India)

NAAC ACCREDITED WITH A++ GRADE

Gola Ka Mandir, Gwalior (M.P.) - 474005, INDIA
Ph.: +91-751-2409300, E-mail: director@mitsgwalior.in, Website: www.mitsgwalior.in

Centre for Artificial Intelligence

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Research Areas

 

Research Area Specific Domains Faculty Name
  • Artificial Intelligence
  • Data Science
  • Machine Learning
  • Deep Learning
  • Optimization Algorithms 
  • Imbalanced Learning
  • Image Processing using AI Techniques
  • Statistical Data Analysis and Visualization 
  • Real-Time Data Analysis and Predictions
  • Feature Engineering
  • Exploratory Data Analysis
  • Dr. Saumil Maheshwari
  • Dr. Vikram Rajpoot
  • Ms. Bulbul Agrawal
  • Data Mining
  • Social Network
  • Big Data
  • Terrorist Network Mining
  • Data Mining and Analytics
  • Social Network Analysis
  • Hesitation Mining
  • Speech Recognition
  • Dr. Sanjiv Sharma
  • Dr. Punit Kumar Johari
  • Dr. Saumil Maheshwari
  • Dr. Abhishek Dixit
  • Dr. Vikram Rajpoot
  • Ms. Tanuja Sharma
  • Computer Vision
  • Image Processing 
  • Biometrics
  • Application on Digital images Processing 
  • Signal Processing
  • Neural Networks
  • Satellite Image Processing
  • Medical Image Processing
  • Remote Sensing/Drone Image Processing
  • Dr. Punit Kumar Johari
  • Mr. Rajeev Kumar Singh 
  • Dr. Nidhi Saxena
  • Ms. Bulbul Agrawal
  • Ms. Akanchha Tiwari
  • Computer Networks
  • Information Security
  • Ad-hoc Networks
  • Wireless Sensor Networks
  • Mobile Computing
  • Analysis  and Evaluation Wired Networks
  • Analysis and Evaluation Wireless Networks, 5G networks
  • Malicious activity detection and prevention in network
  • Security in Ad-Hoc Networks
  • Mr. Vikas Sejwar
  • Dr. Abhilash Sonkar
  • Ms. Neha Bhardwaj
  • AI and Robotics
  • Human-Robot interactions
  • Autonomous and connected smart vehicles
  • Robotics Motion Planning
  • Robot Perception and Manipulation
  • Dr. Nidhi Saxena

Downloads

 

1.

Department of Information Technology

2.

B.Tech in Information Technology

 

Laboratories

Data Science Lab 1

Data Science Lab provides a computing platform for novel languages like Python and R for building a coherent set of ideas, fundamentals of Machine Learning, Artificial Intelligence, and Deep Learning models and algorithms and it facilitates students to practice basic programming in C, C++, and JAVA. Each lab session is aimed to translate the theory lectures into practical implementation through programming paradigms, tools, and platforms provided in the data science lab. 


Data Science Lab 2

Data Science Lab welcomes students, researchers, interns, faculties, newbies, and everyone from a broad range of disciplines who are fascinated with the possibilities of turning big and complex data into knowledge. Members of the data science lab seek cutting-edge problem-based solutions to data mining, computer vision, and machine learning problems arising in numerous application areas involving data analytics.

 


Computing Lab

The Computing Lab brings together researchers interested in developing fast, reliable, and robust numerical algorithms needed for modeling and simulation in a variety of fields including database management, Numerical linear algebra, Optimization, etc. The requirement of modern days is to have an automated system that manages, modifies, and updates data accurately. The lab aims at practicing and achieving this aim by using various software. All these require “hands-on” training in programming through practical projects.


Computational Intelligence Lab

Computational Intelligence Lab intends to deliver practical exposure towards mathematical background in linear algebra, analysis, probability, and optimization to develop the knowledge of machine learning to gain a deeper understanding of models and tools of a great practical impact. it provides “hands-on” training in programming through practical projects.  The goal of the laboratory is to enable students to independently apply the learned skills to models and topics not covered.

 

Microprocessor and Hardware Lab

The microprocessor is a multipurpose, programmable device that accepts digital data as input, processes it according to instructions stored in its memory, and provides results as output. The objective of the Microprocessor and Microcontroller Laboratory is to familiarize with the 8086 Microprocessor & 8051 Microcontroller Assembling language programming and interfacing with various modules. It helps the student to do any type of industrial and real time applications by understanding the concepts of Microprocessor and Microcontrollers.

 


Attainment of Program Outcomes

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