In the Faculty of Engineering we have nearly 9000 students and ~ 350 dedicated engineering and basic science faculty members. Each one brings their own individuality, interest and skills. Their collective dedication and passion weaves a beautiful academic tapestry that characterizes our values and aspirations, and propels us forward. For this I am most grateful to each member of this FOE family.
From the Faculty of Engineering, we offer nineteen BTech courses, six MTech courses, and a robust PhD program. These provide a comprehensive educational platform catering to a diverse student community. To stay at the forefront of emerging fields and technologies, we recently introduced new BTech programs in BioTechnology, Computer Science & BioSciences, and Electronics and Communications Engineering with specialization in VLSI. These program have been well received from our students. This academic year, we are excited to introduce BTech in CSE (Cyber Security) and BTech in Robotics & AI.
Crores Scholarships
Acre Modern Green Campus
Star Rating from GRIHA & LEED's
Faculty Members Hold PhD
Hostel Blocks with 4 for Girls
Cyber Security , Cloud Computing
Appreciation Letter from IG Provision for working for CCTNS and DIAL 100 Project, Cleared 2 times Olympiad in 2003 and 2004.
obe
A. Kumar, S. Dutta, and Prashant Pranav, "Analysis of SQL injection attacks in the cloud and in WEB applications," Security and Privacy, Jan. 2024, doi: https://doi.org/10.1002/spy2.370.
A. Kumar, S. Dutta, and Prashant Pranav, "FQBDDA: fuzzy Q-learning based DDoS attack detection algorithm for cloud computing environment," International Journal of Information Technology, Oct. 2023, doi: https://doi.org/10.1007/s41870-023-01509-y.
A. Kumar, S. Dutta, and Prashant Pranav, "Prevention of VM Timing side-channel attack in a cloud environment using randomized timing approach in AES - 128," International journal of experimental research and review, vol. 31, no. Spl Volume, pp. 131-140, Jul. 2023, doi: https://doi.org/10.52756/10.52756/ijerr.2023.v31spl.013.
A. Kumar, S. Dutta, and Prashant Pranav, "Supervised learning for Attack Detection in Cloud," International journal of experimental research and review, vol. 31, no. Spl Volume, pp. 74-84, Jul. 2023, doi: https://doi.org/10.52756/10.52756/ijerr.2023.v31spl.008.
A. Kumar, S. Dutta, and Prashant Pranav, "A Comparative Study of DDoS Attack in Cloud Computing Environment," SSRG international journal of electronics and communication engineering, vol. 10, no. 7, pp. 87-96, Jul. 2023, doi: https://doi.org/10.14445/23488549/ijece-v10i7p109.
AI,Machine learning, Deep Learning
IEEE
Human Cognition and Artificial Intelligence: A Survey
10.1109/ICAEECI58247.2023.10370816
https://turcomat.org/index.php/turkbilmat/article/view/13200
Database Management Systems,
Operating Systems, Computer Networks
1. Member of CSE Exam Cell
2. Member of CSE Time Table
Successfully conducted IoT Workshop Sep 25-27, 2023
Computer Vision, Deep learning
Teacher Gardian L1 section (1st Year)
Minor Project Batch Coordinator
Distributed and Cloud Computing
Algorithm Design
Graph Theory
Web Technology, Computer vision
CSI
Information Security, Cryptography
Qualified Gate-2011, BE-Honours
Time Table
Dr. Rawat is associated at various committees such Manipal Research Board (MRB) as members, Vice Chairman of Library Advisory Committee (LAC).Additionally, Dr. Rawat has worked in various administrative activities at department level i. e. Coordinator of OBE Assessment, Member of IQAC, Coordinator of Board of Studies (Mechatronics) from last 3 years. He has published various research articles in international journals with and conferences of repute. His research interests are Reliability Engineering, Fleet Maintenance Planning, Simulation and Optimization and Reliability of Cyber-Physical System. He is actively associated with Industrial System Engineering Research Group at Indian Institute of Technology Indore. Dr. Rawat is also associated as editorial member and reviewer in various reputed international journals. Additionally, He has published one patent in the field of Biomedical engineering.
Programming languages : C, C++ , Java and Python. Software Engineering
Exam Cell and Training classes
Software Engineering, Health Informatics, Machine Learning, Deep Learning
Gate Qualified-2015, 2020, MUJ Researcher of Month- December 2023
Nucleus Member IQAC
R. Saha, L. Malviya, A. Jadhav, and R. Dangi, "Early stage HIV diagnosis using optimized ensemble learning technique," Biomedical Signal Processing and Control, vol. 89, p. 105787, 2024.
A. Jadhav, S. K. Shandilya, I. Izonin, and M. Gregus, "Effective Software Effort Estimation enabling Digital Transformation," in IEEE Access, 2023.
A. Jadhav and S. K. Shandilya, "Towards effective feature selection in estimating software effort using machine learning," J. Software: Evolution and Process, vol. 2023, no. e2588, 2023.
A. Jadhav and S. K. Shandilya, "Reliable machine learning models for estimating effective software development efforts: A comparative analysis," Journal of Engineering Research, vol. 11, no. 4, pp. 362-376, 2023.
R. Dangi, A. Jadhav, G. Choudhary, N. Dragoni, M. K. Mishra, and P. Lalwani, "ML-based 5G network slicing security: A comprehensive survey," Future Internet, vol. 14, no. 4, p. 116, 2022.
Machine Learning, Deep Learning, Image Processing
Qualified: GATE-2013, GATE-2015
Involved in BoS
IETE
O. Singh, Kanchan Lata Kashyap, and Koushlendra Kumar Singh, "Mesh-free technique for enhancement of the lung CT image," vol. 81, pp. 104452-104452, Mar. 2023
O. Singh and K. K. Singh, "An approach to classify lung and colon cancer of histopathology images using deep feature extraction and an ensemble method," Int. J. Inf. Technol., vol. 15, no. 8, pp. 4149-4160, Dec. 2023
O. Singh, K. L. Kashyap, and K. K. Singh, "Lung and Colon Cancer Classification of Histopathology Images Using Convolutional Neural Network," SN Comput. Sci., vol. 5, no. 2, p. 223, Jan. 2024
N. Kumar, R. Kumar, and O. Singh, "An Effective Voting and Priority based Technique for Deadlock Prevention in Distributed & Cloud Systems," SSRN Electronic Journal, 2019,
Software Engineering, Operation Research, Machine Learning
GATE-2011
ACM
NLP, Machine Learning, Deep Learning, MIR
Teacher Gardian (1st Year)
Cloud and Devops , AWS specialist
VLSI Design
IETE,
IET,
ISTE
Data science, AI , Machine learning,Deep learning
AI,Machine learning, Image Processing, Deep Learning
GATE Scholarship and Invitation to Visit THM Germany for collaborative work.
Machine Learning , soft Computing
Registration Cordinator
Theory of Computation, Compiler Design, Design & Analysis of Algorithms, Machine Learning
ISTE, IAENG
Data Analytics, Information Retrieval, Software Engineering, Networks
Nucleus member Examination section
BoS Coordinator, Admission Coordinator, Alumni Coordinator, Faculty Coordinator Student Club
ACM
Mahajan, G., & Chaudhary, N. (2022). Design and development of novel hybrid optimization-based convolutional neural network for software bug localization. Soft Computing, 26(24), 13651-13672.
Mahajan, G., & Chaudhary, N. (2020). Improving Bug Localization using IR-based Textual Similarity and Vectorization Scoring Framework. Int. J. Advance Soft Compu. Appl, 12(2).
Mahajan, G., & Chaudhary, N. (2022). Bug Classifying and Assigning System (BCAS): An Automated Framework to Classify and Assign Bugs. In Smart Systems: Innovations in Computing: Proceedings of SSIC 2021 (pp. 537-547). Springer Singapore.
Sharma, M. S., Sharma, D. P., & Mahajan, G. (2023). EXPLORING THE ROLE OF GENERATIVE MODELS IN NATURAL LANGUAGE UNDERSTANDING. Chelonian Research Foundation, 18(2), 1525-1533.
Mahajan, G., Saini, B., & Anand, S. (2019, February). Malware classification using machine learning algorithms and tools. In 2019 Second international conference on advanced computational and communication paradigms (ICACCP) (pp. 1-8).IEEE.
Machine Learning, deep learning, robotics and automation
Information Retrieval, Data-Mining, Machine Learning, Programming Languages
1. Best Faculty Award By SRIJAN in 2019 and 2020
2. Faculty Mentor Honored by SIH-2019 and SIH-2020
ACM
Cloud and DevOps
software engineering in machine learning
Computer Vision, Deep learning
IEEE
S. Paul and T. K. Dey, "Energy efficient routing in cluster based wireless sensor networks," 2015 2nd International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA), Chonburi, Thailand, 2015, pp. 1-5
Rajesh Kumar Tiwari, Ajay Kumar Pathak, and Tapan Kumar Dey, "A Novel Approach for Analysis of Air Quality Index Before and After Covid-19 Using Machine Learning," Lecture notes in electrical engineering, pp. 139-149, Jan. 2022
J. Kumar, T. kumar Dey, R. K. Tiwari, and A. K. Singh, "Routing Recovery Protocol for Wireless Sensor Network Based on PSO-ACO and Neural Network", In Fuzzy Optimization Techniques in the Areas of Science and Management, Boca Raton, S. K. Das, M. Giacalone, Florida: Taylor and Francis, pp.20, Oct. 17, 2022.
J. Kumar,R. K. Tiwari,T. kumar Dey,and A. K. Singh, "Cluster-Based Routing Protocol for WSN Using Fusion of Swarm Intelligence and Neural Network", In Fuzzy Optimization Techniques in the Areas of Science and Management, Boca Raton, S. K. Das, M. Giacalone, Florida: Taylor and Francis, pp.17, Oct. 17, 2022.
Optoelecxtronic Devices
Marie Curie Sparkle Researcher at Tyndall National Institute
FIRST-PRINCIPLES CALCULATION OF STRUCTURAL, ELECTRONIC, AND OPTICAL PROPERTIES OF INP1-XSBX USING WC-mBJ FOR NANOSCALE IR APPLICATIONS, Priya ChaudharyAmit RathiAmit Kumar Singh. Nanoscience and Technology An International Journal
Theoretical investigation of electronic and optical properties of doped and defective MoSe2 monolayers Vinturaj, V.P., Yadav, A.K., Jasil, T.K., ...Garg, V., Pandey, S.K. Bulletin of Materials Science, 2023, 46(3), 121
Optical biosensors: a decade in review Singh, A.K., Mittal, S., Das, M., Saharia, A., Tiwari, M. Alexandria Engineering Journal, 2023, 67, pp. 673-691
NLP,IR,Machine translation
Manipal University Jaipur has a diverse pool of students from all across the country. MUJ provides the opportunities for the students to participate in multidisciplinary technical projects which gives them hands- on practical skills as required by the industry. In addition, there are various clubs which help them to develop all round personalities.
Directorate of International and Collaborations (DoIC) is headed by a team of dedicated staff and supported by the advisory council with a group of faculty and administrators representing key academic units are functional under this office.
Manipal University Network aims to create centres of excellence for research and innovation through its various campuses in India and abroad. The network has established hubs for cutting-edge research and innovation in emerging subjects like Nanotechnology, Wireless Network, Nuclear Engineering, etc.
Read moreComfortable, well-furnished hostels that help students feel at home
Top-notch infrastructure for a superior learning experience
Well-equipped labs aid hands-on learning for students
The library provides easy access to e-resources and the latest editions of books and journals
Facilities for sports give a well-rounded education experience