Laboratory

Description:
The MAC Laboratory is designed to provide an industry-standard environment for iOS and macOS application development. It is equipped with modern Apple Mac systems, a whiteboard facility, and high-quality furniture. The lab supports the development and testing of Swift-based applications, as well as other Apple software. The total area of the MAC Laboratory is 66 sq. ft.

Features:
● Major Equipment:
  o 30 Apple Mac Computers
  o Internet Facility
  o Wi-Fi Facility
● Software: iMac OS, Swift, Python, Eclipse

Utilization:
Students use the laboratory to perform practical experiments and assignments related to:
● Swift Programming
● iOS Application Development
● macOS-based Software Tools

Area of Assignments:
1. Swift Laboratory
2. iOS Application Development

Name of Lab In-Charge: Prof. Swati R. Paralkar
Name of Lab Assistant: Mr. Shantanu Dhage

Description:
The Project Laboratory provides supplemental learning services and resources. It offers peer and faculty tutoring, assistance with test preparation, access to computers, printers, and online computer-assisted learning programs. The total area of the Project Laboratory is 66.73 sq. ft.

Features:
● Software: Fedora OS, Ubuntu OS, Java, gcc, NASM, Python, Eclipse
● Hardware: Printer
● Internet Facility
● Wi-Fi Facility

Utilization:
Students use the Project Lab for:
● Test Preparation
● Access to Computers and Printers
● Online Computer-Assisted Learning Programs
● Project Development and Practice Work

Name of Lab In-Charge: Prof. Aparna Tiwari
Name of Lab Assistant: Ms. Snehal Kale

Description:
The Research Laboratory provides a dedicated environment for undergraduate, postgraduate, and doctoral students to carry out academic and applied research. It supports interdisciplinary projects, experimental work, and innovation in emerging technologies.

Features:
● High-performance computing systems
● Software: MATLAB, Python, Java, Eclipse, research-oriented tools
● Hardware: Printers, Projectors
● Internet & Wi-Fi Facility
● Dedicated Research Workspace

Utilization:
Students and faculty members use this lab for research publications, project development, prototype testing, and experimental studies in computer engineering fields.

Area of Assignments:
● Research Project Development
● Thesis/Dissertation Work
● Publications and Experimental Studies

Name of Lab In-Charge: Dr. Prema Sahane
Name of Lab Assistant: Ms. Snehal Kale

Description:
The Machine Learning Laboratory provides an environment for research and development in Artificial Intelligence and Data-driven technologies. The lab focuses on supervised, unsupervised, and reinforcement learning techniques and their applications in real-world problems.

Features:
● High-performance computing systems with GPU support
● Software: Python, TensorFlow, PyTorch, MATLAB
● Internet & Wi-Fi Facility
● Smart Board/Whiteboard Facility

Utilization:
Students and researchers utilize this lab for designing, training, and deploying machine learning and deep learning models in domains like:
● Natural Language Processing
● Predictive Analytics
● Computer Vision

Area of Assignments:
1. Supervised & Unsupervised Learning
2. Deep Learning Applications
3. Predictive Analytics Projects

Name of Lab In-Charge: Prof. Rutuja G. Khedkar
Name of Lab Assistant: Ms. Pranali Patil

Description:
The Computer Vision Laboratory supports research in image processing, video analytics, and intelligent visual systems. The lab is equipped with vision-based software tools.

Features:
● High-performance Computers
● Software: OpenCV, MATLAB, Python, ROS
● Internet & Wi-Fi Facility

Utilization:
Students perform practical assignments on real-time object detection, facial recognition, and augmented reality.

Area of Assignments:
1. Image Processing
2. Object Detection & Tracking
3. Augmented and Virtual Reality Applications

Name of Lab In-Charge: Prof. Priyanka S. Sharma
Name of Lab Assistant: Ms. Pranali Patil

Description:
The Cyber Security Laboratory offers a secure environment for learning and practicing ethical hacking, digital forensics, and security testing techniques.

Features:
● Systems with Linux and Windows Dual-Boot
● Network Simulation
● Security Software: Kali Linux, Burp Suite, Snort
● Internet & Wi-Fi Facility

Utilization:
Students conduct experiments on penetration testing, cryptography, secure coding, malware analysis, and network defence mechanisms.

Area of Assignments:
1. Ethical Hacking & Penetration Testing
2. Cryptography & Secure Communication
3. Network Simulation and Security Protocols

Name of Lab In-Charge: Prof. Yashodhan V. Mane
Name of Lab Assistant: Mr. Prathmesh Dadade

Description:
The PG Laboratory caters to postgraduate students for advanced research, project development, and dissertation work. It provides computing and networking resources suitable for advanced research activities.

Features:
● High-end Computing Systems
● Software: MATLAB, Python, Eclipse, Java, Specialized Research Tools
● Printer and Internet Facility
● Wi-Fi and Project Discussion Space

Utilization:
Postgraduate students use this lab for thesis work, advanced simulations, and prototype development.

Area of Assignments:
1. Postgraduate Dissertation Work
2. Advanced Research Projects
3. Collaborative Research Activities

Name of Lab In-Charge: Prof. Ashwini U. Bhosale
Name of Lab Assistant: Ms. Sweety Patil

Description:
The Innovation Laboratory fosters creativity and entrepreneurship by providing tools and resources to design, prototype, and test innovative solutions. It integrates interdisciplinary research and industry collaboration.

Features:
● 3D Printers, Arduino, Raspberry Pi, and IoT Kits
● Software: AutoCAD, SolidWorks, MATLAB, Python
● Internet & Wi-Fi Facility

Utilization:
Students perform project-based learning, innovation challenges, hackathons, and prototype development for real-world applications.

Area of Assignments:
1. Prototype Development
2. IoT Innovations
3. Industry Collaborative Projects

Name of Lab In-Charge: Prof. Shital Nalgirkar
Name of Lab Assistant: Ms. Jyoti Lonari

Description:
The Data Science Laboratory is dedicated to big data analytics, visualization, and data-driven decision-making. It enables students to handle large datasets and perform predictive and prescriptive analysis.

Features:
● High-end Computing Systems with Big Data Support
● Software: Python, Power BI, MATLAB
● Cloud Access (AWS, Google Cloud, Azure)
● Internet & Wi-Fi Facility

Utilization:
Students use the lab to analyse datasets, build data pipelines, visualize insights, and apply machine learning for business intelligence.

Area of Assignments:
1. Big Data Analytics
2. Data Visualization and Business Intelligence
3. Machine Learning for Data Science

Name of Lab In-Charge: Prof. Shraddha Shegokar
Name of Lab Assistant: Mr. Shantanu Dhage