Welcome to the Department of AI & ML
We empower students with cutting-edge knowledge and hands-on expertise in artificial intelligence and machine learning technologies that are transforming industries worldwide.
About the Department
The Department of Artificial Intelligence and Machine Learning delivers a world-class curriculum that combines theoretical foundations with practical implementation of intelligent systems.
Established to meet the global demand for AI professionals, our department provides comprehensive training through advanced laboratories, industry collaborations, research projects, and real-world applications. We nurture students to become innovators who can design, develop, and deploy intelligent solutions across diverse domains.
Key Focus Areas:
- Artificial Intelligence Fundamentals & Algorithms.
- Machine Learning & Deep Learning.
- Computer Vision & Image Processing.
- Natural Language Processing.
- Reinforcement Learning.
- Generative AI & Large Language Models.
- Robotics & Autonomous Systems.
- AI Ethics & Responsible AI.
Vision & Mission
Vision
To be a globally recognized center of excellence in AI and ML education, research, and innovation, producing thought leaders who advance intelligent technologies for societal benefit.
Mission
- Deliver industry-relevant curriculum with emphasis on practical AI/ML implementation.
- Foster research culture in cutting-edge AI technologies and applications.
- Develop problem-solving skills through hands-on projects and industry exposure.
- Promote ethical AI practices and responsible innovation.
- Prepare students for leadership roles in the global AI ecosystem.
Program Outcomes (POs):
- Students will be able to:
- Design and implement AI algorithms and machine learning models.
- Apply deep learning techniques for computer vision and NLP tasks.
- Develop intelligent systems using modern frameworks and tools.
- Analyze and interpret complex data using statistical and ML methods.
- Work collaboratively on AI projects with ethical considerations.
- Communicate technical AI concepts effectively to diverse audiences.
Curriculum Highlights
The curriculum is designed to build knowledge progressively from fundamentals to advanced applications. Students learn subjects such as Programming for Data Science, Linear Algebra, Probability and Statistics, Database Management Systems, Data Visualization, Machine Learning, Data Mining, Big Data Analytics, Cloud Computing, Deep Learning, and Natural Language Processing.
The program also includes mini projects, laboratory work, internships, and major project work to help students gain practical exposure and industry readiness.
Laboratories & Facilities
The department provides an academic ecosystem that supports teaching, learning, and experimentation in data-centric technologies.
- Well-equipped computer laboratories.
- High-speed internet and smart classrooms.
- Software tools for AI, programming, and machine learning.
- Project guidance and technical support for research and innovation.
Student Activities
The department encourages students to take part in academic and co-curricular activities that improve technical, communication, and leadership skills.
- Workshops and seminars.
- Technical quizzes and coding competitions.
- Paper presentations and project exhibitions.
- Industrial visits and internship programs.
- Hackathons and innovation challenges.
Research & Innovation
The department promotes a culture of inquiry, experimentation, and innovation in the domain of data science and allied areas.
Major focus areas include machine learning, deep learning, data analytics, visualization, intelligent systems, and real-world data applications in healthcare, business, education, agriculture, and public systems.
Career Opportunities
Data Science graduates have opportunities in multiple sectors because organizations increasingly depend on data for planning, prediction, and decision-making.
- AI Research Scientist
- Data Scientist
- Machine Learning Engineer
- Business Intelligence Analyst
- Computer Vision Engineer
- NLP Specialist
- AI Solutions Architect
- Deep Learning Engineer
- Robotics Engineer
- MLOps Engineer
- Generative AI Specialist
- AI Ethics Consultant
Faculty
The Department of Data Science is supported by dedicated and qualified faculty members who bring academic knowledge, technical expertise, and mentoring support to students.
Our faculty team is committed to student success through quality teaching, academic guidance, project supervision, and career mentoring. The department promotes a learner-centered environment where faculty and students work together on knowledge creation and practical problem solving.
| Sr. No. | Name of the Staff | Designation | Qualifications | Subjects Taught | Experience | Photo | Contact No. | Email ID |
|---|---|---|---|---|---|---|---|---|
| 1 | Dr. Santosh Shivrajsingh Chowhan | HoD | M.Sc (CS), M.Phil, Ph.D. | AI, Machine Learning, ANN, Pattern Recognition | 25 Years |  |
9890492834 | chowhansc.studentnotes@gmail.com |
| 2 | Dr. Satish Mallappa Hallankar | Assistant Professor | M.Sc (CS), M.Phil, Ph.D. | Machine Learning, Image Processing | 15 Years |  |
8073946742 | |
| 3 | Dr. Mahendra Hiralal Kondekar | Assistant Professor | MCA (CS), M.Phil, Ph.D. | Machine Learning, Image Processing | 25 Years |  |
9822118755 | |
| 4 | Mr. Rahul Rajaram Sagar | Assistant Professor | M.Sc. (IT), NET | DBMS, Networking, Operating System | 16 Years | Photo |
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| 5 | Dr. Ujwala V. Suryawanshi | Assistant Professor | M.Sc. (CA), Ph.D. | Machine Learning, Image Processing | 23 Years | Photo |
8329789067 | |
| 6 | Mr. Shivaji Taterao Somwanshi | Assistant Professor | M. Sc. Computer Science | C, C++, Java, .NET | 11 Years |  |
9561809817 | shivajisomwanshi.ss@gmail.com |
| 7 | Mr. Nitin Shivaji Waghmare | Assistant Professor | BE, MA, NET | C, C++, Java, .NET | 10 Years |  |
8446802474 | nitinw37@gmail.com |
| 8 | Mr. Abhijeet Vaman Shinde | Assistant Professor | MCA | C, C++, Java, .NET | 3 Years |  |
7798600368 | shinde7798600@gmail.com |
| SN | Name of the Course | Eligibility | Duration |
|---|---|---|---|
| 01 | B.Sc. (AI and ML) | 12th - Science Faculty | 3/4 Years |