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Explore comprehensive information about our department's structure, vision, faculty, resources, and activities
Organizational framework and academic hierarchy of our department
Established in 2005, the Department of Engineering at Knowledge Group has grown to become a premier center of excellence in technical education and research. We follow a well-defined hierarchical structure that promotes efficient management, academic growth, and student development.
Our department operates on a collaborative model where faculty, students, and administrative staff work together to create an environment conducive to learning, innovation, and research.
Total Students: 450+ enrolled across all programs (Undergraduate and Postgraduate)
Faculty Members: 25+ experienced academicians with diverse specializations
Laboratory Facilities: 8 state-of-the-art laboratories with modern equipment
Research Publications: 150+ papers in reputed national and international journals
Placement Rate: 95% success rate in campus placements with top companies
Industry Collaborations: 15+ active MoUs with leading industries
Our guiding principles and objectives for educational excellence
To become a globally recognized center of excellence in engineering education and research that produces innovative, ethical, and socially responsible professionals who contribute significantly to technological advancement and societal development through quality education, cutting-edge research, and innovation.
We are committed to continuous improvement in all academic and administrative processes to achieve excellence in education, research, and innovation. Our quality policy focuses on:
We regularly review and update our processes to meet national and international standards, ensuring that our graduates are well-prepared to face global challenges and contribute meaningfully to society.
Educational objectives and specific outcomes of our academic programs
Our Program Educational Objectives describe what our graduates are expected to achieve within 3-5 years after graduation. These objectives are regularly reviewed and updated based on stakeholder feedback and industry requirements.
Program Specific Outcomes are what our students should be able to do by the time of graduation. These outcomes are assessed through various evaluation methods and continuous improvement processes.
We employ multiple assessment methods to ensure continuous improvement in achieving PEOs and PSOs:
Assessment results are analyzed by the Department Academic Committee, and necessary improvements are implemented in the curriculum and teaching-learning processes.
Meet our distinguished faculty members and their expertise
Our faculty members are highly qualified professionals with extensive experience in both academia and industry. They are committed to providing quality education, mentorship, and research guidance to our students. Our faculty regularly participate in professional development programs, conferences, and collaborative research projects.
Head of Department
Ph.D. in Computer Science, IIT Delhi
Specialization: Artificial Intelligence & Machine Learning
Experience: 15+ years in academia and research
Senior Professor
Ph.D. in Electronics, NIT Surat
Specialization: Embedded Systems & IoT
Experience: 12+ years in teaching and industry
Assistant Professor
M.Tech in Mechanical Engineering
Specialization: Thermal Engineering
Experience: 8+ years in teaching and research
State-of-the-art laboratories and research facilities
Our Advanced Research Laboratory is equipped with the latest research instruments and computing facilities. It supports advanced research projects in emerging technologies with 24/7 access for researchers and scholars.
The modern computer lab features 50+ high-end systems, licensed software packages, and high-speed internet connectivity. It includes dedicated servers for programming and development projects.
Features industrial robots, PLC systems, automation kits, and simulation software. Provides hands-on training in robotics and industrial automation technologies.
Latest updates and announcements from the department
Dr. Sharma's research paper on "AI Applications in Healthcare Diagnosis" has been accepted for publication in IEEE Transactions on Medical Imaging, a top-tier journal with high impact factor.
Impact: This research contributes to early disease detection using machine learning algorithms.
Department signs Memorandum of Understanding with TechCorp India for joint research projects, internship opportunities, and faculty exchange programs.
Benefits: Students will get industry exposure and hands-on training on live projects.
Third-year student Rahul Verma wins gold medal in Robotics Competition at National Technical Fest 2024 held at IIT Bombay.
Achievement: Designed and programmed autonomous robot that completed all challenges in record time.
Schedule of upcoming workshops, seminars, and events
Full-day workshop on Artificial Intelligence, Machine Learning, and IoT conducted by industry experts from Google India.
Time: 10:00 AM - 4:00 PM
Venue: Department Seminar Hall
Registration: Open for all students and faculty
Three-day technical festival featuring competitions, exhibitions, seminars, and cultural events. Theme: "Technology for Sustainable Future"
Duration: 25th - 27th December 2024
Venue: College Auditorium and Department Labs
Annual alumni gathering and networking event with career guidance sessions, industry insights, and placement preparation workshops.
Time: 11:00 AM onwards
Special Session: "Career Opportunities in AI" by alumni working at Microsoft
Download academic resources and study materials
Access comprehensive study materials, notes, and resources for all subjects. All materials are regularly updated by our faculty members to ensure alignment with the latest curriculum and industry requirements.
Complete notes for all subjects in Semester 1 including Mathematics, Physics, Chemistry, and Programming.
Format: PDF files with diagrams and examples
Recorded lectures by faculty members covering all topics in detail with practical examples.
Duration: 50+ hours of video content
Practical manuals for all laboratory courses with experiment procedures, codes, and expected outputs.
Includes: Sample codes and troubleshooting guides
Current semester schedule and class timings
Below is the detailed timetable for the current odd semester. Please note that this schedule is subject to change based on academic requirements, faculty availability, and special events. Regular updates will be communicated through the department notice board and online portal.
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