Resources

Laboratories: The department has all types of modern teaching- learning resources in the department.

The department is equipped with state-of-the-art laboratories, providing students with the necessary resources for practical learning and specialized software tools.
The technical staff is appointed by the institute and allotted by the Head of the department considering their skill set, by issuing formal order letters.
Adequate technical manpower ensures smooth laboratory operations, technical support, and assistance to students and faculty for academic and research activities. The list of laboratories and technical manpower is mentioned in Table
As and when any facility is created at the department in the form of hardware or software, the support staff is given training and certification to ensure their scaling up. Refer image below.

Data Structure & Programming Lab

A Data Structures & Programming Lab is a structured, practical companion to theory courses. Over 12–14 weeks, students can implement core structures (arrays, lists, trees, graphs) in C/C++ (or Java/Python), Analyse algorithms, develop problem-solving skills, and learn memory management and file I/O.

The Programming Laboratory aims to provide students with hands-on experience in software development, problem-solving, and understanding computational logic. It equips learners with practical knowledge of programming languages, tools, and methodologies necessary for modern software development.

Resources: 1)Desktop 2) Projector 3) UPS 4)Windows + Ubuntu 5) Programming language

Knowledge Creation-

Collaborative problem-solving: Students work in pairs/small groups on challenges like sorting algorithms, sharing approaches organically.
Practice-driven mastery: Lab assignments (e.g., implement BST or graph traversal repeatedly) convert explicit templates into tacit understanding.
Mini-projects: End-of-term projects embed multiple structures (lists + trees + hash maps), reinforcing application and internalization.
Innovation: Novel programming languages, paradigms, and tools.
Enhanced Productivity: Better compilers, IDEs, and debugging tools to streamline development.
Improved Education: Comprehensive learning resources for diverse audiences.
Industry Adoption: Real-world solutions for domains like healthcare, finance, etc.

Continuous feedback: Instructors highlight optimizations/improvements during labs to help students internalize best practices.

Free & Open Source Lab

Free & Open Source Lab,” releasing powerful tools and infrastructure openly. A Free & Open Source Lab refers to a research and development environment that emphasizes open-source tools, collaboration, transparency, and accessibility. This empower anyone to use, customize, and contribute to scientific or AI-driven software and hardware.

. Resources: 1) Desktops 2) UPS 3) VScode 4) Ubuntu/Kali/CentOS

Knowledge creation in Free & Open Source (FOSS) labs is a richly collaborative, transparent, and continually evolving process.

It works as Community-Led Knowledge Sharing & Co‑creation.

Computer Networking & Web Technology Lab

The Computer Networking & Web Technology Lab blends physical and virtual network experimentation with full-stack web application development. It equips students with practical and theoretical knowledge—from wiring NICs and routing protocols to building dynamic web services—ensuring hands-on competence in both networking and web technologies .

This lab empowers students to blend theory with hands-on practice by:

Building, configuring, and managing real and virtual network devices (NICs, routers, switches)

Setting up network topologies (LAN, WAN) and protocols across OSI/TCP‑IP layers

Implementing Data Link and Network layer algorithms (framing, error detection/correction, routing, congestion control)

Hosting Web Technologies experiments: HTML/CSS/JavaScript, PHP/MySQL, XML, and server‑side scripting .

Resources: 1)Desktop 2) Projector 3) UPS 4) OS 5) NS2,NS3, Cisco packet tracer, Wire shark etc.

Microprocessor & IOT / Data Science Lab

A Microprocessor & IoT Lab is a specialized educational space designed to provide hands-on experience with microprocessors, microcontrollers, and Internet of Things (IoT) technologies. It serves as a practical environment where students can design, develop, and test embedded systems and IoT applications, bridging theoretical knowledge with real-world implementation.

The Data Science Lab is designed to provide students with hands-on experience in analysing and interpreting complex datasets. It serves as a bridge between theoretical knowledge and practical application, enabling students to:

· Competence in presenting data insights through visualization

Resources: 1) Desktop 2) Projector 3) Printers 5) OS 6) Programing Language 7) IOT kits.8) GNU simulator, Sim 85, Proteus 9) VEKA, R language, Knime etc.

Knowledge Creation-

Understand the microprocessor architecture, assembly language programming, and interfacing techniques.
Ability to design design and implement IOT system.
Enhance teamwork, communication, and project management skills in real world applications and Impact like smart home, healthcare ,industrial Automation ..
Understand the principles of data science and its real-world applications.
Develop proficiency in using data science tools and techniques.

Competence in presenting data insights through visualization.

Software Engineering Lab

Software Engineering Lab equips students with practical skills essential for a career in software development, fostering a deep understanding of the complexities involved in building and maintaining software systems.

Resources: 1) Desktop 2) Projector 3) Printers 5) OS 6) Programing Language

Knowledge Creation-

Collaborative Learning and Problem-Solving :
Students engage in group projects, such as developing software applications, where they collaboratively define problems, solutions, and implement code.
Industry-Academia Collaboration: By collaborating on real-world projects, students gain practical experience, and researchers receive valuable insights into industry challenges, leading to mutually beneficial knowledge exchange.

Software Engineering lab is a multifaceted process that combines individual learning with collaborative efforts. By leveraging tools, methodologies, and industry partnerships, this lab foster an environment where knowledge is continuously generated, shared, and refined. This dynamic process not only enhances students’ technical skills but also prepares them for the complexities of the software industry.

Project Lab

The Innovation and Project Laboratory is designed to foster creativity, problem-solving, and hands-on experience in building real-world projects. This lab aims to provide students with the tools, resources, and mentorship required to turn innovative ideas into functional prototypes or fully developed projects. The lab focuses on developing interdisciplinary skills, with a strong emphasis on collaborative project-based learning, research, and product development.

Resources: 1) Desktop 2) Smartboard 3)OS 4)MS office 5) Programming language etc.

Knowledge Creation-

Problem-Solving and Creativity: Ability to generate and implement innovative solutions for real-world problems.
Hands-on Experience: Gain practical experience in various interdisciplinary technologies, such as IoT, robotics, AI, and embedded systems.
Collaborative Skills: Develop teamwork, communication, and leadership skills through collaborative project work.
Entrepreneurial Skills: Understand the principles of turning ideas into marketable products and building a business around technology.

The Project Laboratory offers students an environment where they can take their ideas from concept to prototype, with access to cutting-edge tools, technology, and mentorship. This hands-on experience prepares them for careers in technology development, product design, entrepreneurship, and research.

PG Research Laboratory

The PG Research Laboratory is designed to support postgraduate students in conducting advanced research across various fields of technology, engineering, and applied sciences. The lab provides an environment conducive to deep academic exploration, allowing students to engage in both theoretical research and practical experiments. The goal is to foster innovative research, develop new technologies, and contribute to scientific advancements.

Resources: 1) Desktop 2) Smartboard 3)OS 4)MS office 5) Programming language etc.

Knowledge Creation-

Research Competence: Gain proficiency in conducting high-quality research in various domains of technology and engineering.
Problem-Solving Skills: Develop advanced problem-solving skills to tackle real-world challenges through innovative solutions.
Advanced Technical Knowledge: Deepen expertise in specific research areas such as AI, IoT,Data science.
Academic Publishing: Ability to write and publish research papers in reputable conferences and journals.
Collaboration: Work collaboratively in research teams, both within the lab and with external stakeholders.

The PG Research Laboratory provides an ideal environment for postgraduate students to deepen their expertise, engage in cutting-edge research, and contribute to advancements in science and technology. It equips students with the tools and experience necessary to pursue successful careers in research, academia, or industry.

Computers and Equipment

The department has a large number of computers and equipment, including servers, routers, and software tools.

Sr.No.

Name of Hardware

Name of Components

IOT Kit

· RFID tag

· CMOS Camera

· Ultrasonic Sensor

· Butane Hydrogen Sensor

· Ethanol Gas Sensor

· Gas Sensor

· GSM GPRS sim 900A with Antena

· PIR Motion Sensor

· IR Proximity Sensor

· 16*4 Cahracter LCD Display

· LDR Module

· Soil Sensor

· Water Detector

· BMP 280 I2C

· Digital Touch Sensor

· Temprature Sensor

· HC-05 Bluetooth RF

· ESP8266

· Snap Power Cable

· 5V 4 Chaneel Relay Module

· CDMA Trainer Kit

· X-Bee Module-Pervicom-WCNADK_EK

· Scientech Optical ST2502-
Along with Power supply/Cables/ Mic Communicatiion)

AR – VR related hardware

In the aim of building a center of excellence in immersive technologies the department has invested in the hardware related to AR and VR.

Software: The department has a range of software tools, including programming languages, databases, and operating systems.

Sr.No.	Names of Software
1	Windows 10 Pro
2	Ubuntu v22

Licensed copies / subscription to software

The institution has procured a wide range of licensed software packages to support both teaching and research activities in various disciplines.
These tools are available in all laboratories, providing students and faculty with legal, uninterrupted access to industry-standard software required for their academic and research work.

Special Resources

The department has special resources such as :

S.N.

Name of the Laboratory

Industry Supported Lab AR-VR Lab

Collaborations and Partnerships:

A) IIT Bombay vLabs

Mission

To achieve above Vision, all stakeholders of this programme are committed to following missions-

M1: Adopting vibrant curricula and teaching practices to equip graduates with strong foundations in Artificial Intelligence and Machine Learning.
M2: Providing opportunities to develop professional skills through academic excellence, industry exposure and interdisciplinary collaborations.
M3: Empowering students with critical thinking and problem-solving skills to develop innovative solutions.
M4: Inculcating lifelong learning and ethical responsibility towards society and the environment

Strength

The Department of Artificial Intelligence and Machine Learning stands out for its key strengths, which include:

Industry-Aligned Curriculum
Experienced and Research-Oriented Faculty
Advanced Laboratory Infrastructure
Strong Research and Innovation Culture
Emphasis on Experiential Learning
Robust Industry Collaboration
Focus on Ethical and Responsible AI
Holistic Student Development
Global Exposure Opportunities
Supportive Alumni Network

These strengths collectively position the department as a leader in AIML education, research, and innovation.

Areas of Expertise

The Department of Artificial Intelligence and Machine Learning excels in the following areas of expertise:

Artificial Intelligence & Intelligent Systems
Machine Learning & Deep Learning
Natural Language Processing (NLP)
Computer Vision & Image Processing
Data Science & Big Data Analytics
Cybersecurity & AI for Security
Edge AI & Embedded Intelligence
Computer Networks and Distributed Systems
Cloud Computing & AI Deployment
Blockchain and Decentralized Applications
Open-Source Development and Contributions
High Performance Computing

These areas of expertise enable the department to provide students with advanced knowledge and practical skills, preparing them for leadership roles in the ever-evolving technology landscape.

Silent Department Features

The Department of Artificial Intelligence and Machine Learning at Walchand College of Engineering stands out for its unique features and strengths, including:

Academic Excellence:
- Industry-aligned curriculum focusing on foundational and advanced topics.
- Highly qualified faculty with expertise in cutting-edge technologies. Nearly 90% of faculties are PhD registered.
State-of-the-Art Infrastructure:
- Modern computer labs are equipped with high-performance systems.
- Access to advanced tools, software, and cloud computing platforms.
Research and Innovation:
- Active research in emerging fields like AI, machine learning, data science, and IoT.
- Regular publications in reputed journals and conference participations with scopus and SCI indexing.
Strong Industry Interface:
- Collaborations with leading tech companies for internships, placements, and projects.
- Industry-expert guest lectures, workshops, and certifications.
Skill Development Opportunities:
- Emphasis on hands-on learning through hackathons, coding challenges, and projects.
- Active technical clubs and student organizations fostering innovation.
Global Competence:
- Alumni placed in top organizations and pursuing higher education globally.
- Exposure to international competitions and exchange programs.
Student-Centric Environment:
- Personalized mentoring by faculty for academic and professional growth.
- Focus on holistic development through extracurricular and co-curricular activities.
Placement Excellence:
- High placement rates with opportunities in top companies like Google, Amazon, Microsoft.
- Dedicated training for technical interviews, coding tests, and soft skills.
Continuous Improvement:
- Regular updates to the curriculum and teaching methodologies.
- Feedback-driven enhancements for a superior learning experience.

These features collectively position the department as a leader in producing highly skilled, innovative, and socially responsible engineers.

Leadership

Dr. RATHOD RAVINDRA RAMKISHAN is the Head of the Department of Artificial Intelligence and Machine Learning at Walchand College of Engineering, Sangli. He joined the institution in 2004 and has since made significant contributions to the field of IT, computer science, Artificial Intelligence education and research. Dr. Rathod holds a Ph.D. in Computer Science and Engineering from Indian Institute of Technology Roorkee.. he also earned his M.E.. degrees in Computer Science and Engineering from Walchand College of Engineering and B.E MGM’s College of Engineering, Nanded. Swami Ramanand Teerth Marathwada University, Nanded.

His research interests include Data Mining, GIS, AI, Image Processing and Applications. Dr. Rathod has published numerous papers in national and international journals and conferences. He has also been involved in several sponsored projects. Dr. R.R. Rathod’s published patent stands as a testament to his contribution toward technological innovation and the promotion of research-driven academic excellence.

He has been awarded with Padmashree S.M.Annasaheb Behare “Ideal Teacher Commendable Prize-2009” at Walchand College of Engineering, Sangli.