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Rajasthan Institute of Engineering and Technology Jaipur Faculty: Reviews, Experience, Qualification & Teaching Methodology 2026

  • Jaipur,Rajasthan
  • AICTE, NBA
  • 7.7 /10 (61 Students Review)
  • Private
  • Est. 2000
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Last Updated On:08 Apr, 2026

Rajasthan Institute of Engineering and Technology Faculty

RIET Jaipur boasts a team of highly qualified, experienced, and dedicated faculty members who blend strong academic credentials with industry exposure. The faculty focuses on outcome-based education, practical learning, research, and skill development to prepare students for successful careers. Many faculty members hold PhDs and have published research papers in reputed journals.

Faculty List:

  • Prof. Dalbir Dahiya - HOD, Department of Artificial Intelligence & Data Science

  • Dr. Sachin Sharma - HOD, Department of Information Technology (also served as Vice Principal in past)

  • Dr. Sonika Sharma - Associate Professor & HOD, Department of Applied Sciences / Chemistry

  • Dr. Monika Shekhawat - HOD, MBA & Training & Placement Officer

  • Prof. Kapil Dev Sharma - Dean Academics & Administration

  • Mr. Mahesh Jangid - Faculty Member

  • Mr. R.S. Takhar - HOD, Department of Civil Engineering (as per earlier records)

  • Dr. Vishnu Sharma - Professor

  • Mr. Ravi Kumar Jain - Assistant Professor

  • Mr. Vikas Kumar - Assistant Professor

📘 Explore Faculty Details

Understand faculty qualifications, teaching experience, research focus and student support before you choose a course.

Rajasthan Institute of Engineering and Technology Facilities

  • AuditoriumAuditorium
  • BanksBanks
  • CafeteriaCafeteria
  • ClassroomsClassrooms
  • Comp LabsComp Labs
  • SportsSports
  • MedicalMedical
  • LibraryLibrary
  • HostelHostel
  • TransportTransport
  • GymGym

👩‍🏫 Faculty Overview

Get quick access to faculty expertise and teaching strength for faster admission decisions.

Faculty strength
20+
(based on available college profile stats)
Avg teaching exp
8 yrs
(estimated from college profile)
PhD / Research
65%
(in top departments)
Faculty list improvements included:
  • Clear teaching and research callouts for each profile.
  • Filtered search by department / experience / qualification.
  • Fast actions for consultation, mentorship and course compatibility.

Rajasthan Institute of Engineering and Technology Rating

  • AcademicAcademicstar8/10
  • AccommodationAccommodationstar8/10
  • FacultyFacultystar7/10
  • InfrastructureInfrastructurestar8/10
  • PlacementsPlacementsstar8/10
  • SocialSocialstar7/10
  • ThroughoutThroughoutstar8/10

Rajasthan Institute of Engineering and Technology Address/Contact

  • Address:Bhankrota, Ajmer Road, Jaipur – 302026, Rajasthan, Pin-302026, Rajasthan

Commonly Asked Questions

The curriculum emphasises hands-on projects, well-equipped labs, and industry-aligned assignments to ensure strong technical exposure.

Yes, the institute has an active Entrepreneurship Development Cell with incubation support, mentoring, and activities to encourage innovation and startups.

RIET offers merit-based management scholarships plus AICTE TFWS and state government schemes for high scorers.

Yes, the campus hosts techno-cultural fests, sports competitions, guest lectures, and club activities for a vibrant student life beyond academics.

The placement cell conducts regular aptitude training, personality development sessions, group discussions, mock interviews, and resume-building workshops.

Faculty are experienced, PhD-qualified, and approachable, offering mentorship, extra classes, and research guidance to help students excel.

Absolutely, through the AICTE Tuition Fee Waiver Scheme and Rajasthan Government scholarships.

Yes, the institute arranges regular industrial visits, internships, and workshops through its strong industry connections to give practical experience.

The Training & Placement Cell achieves around an 80% placement rate with an average package of INR 6-8 LPA and highest up to INR 45-70 LPA from companies like TCS, Infosys, Wipro, Oracle, and Microsoft.

Yes, the program covers machine learning algorithms, neural networks, data analytics, and hands-on projects that build strong practical skills for tech roles.

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Placement Highlights

Placement %
80%
Placement Year Wise
Avg. Package
INR 8 LPA


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