Ā Ms. MANISHA RAJORIYA | Software Solutions | Women Researcher Award
Profile Summary
A dedicated researcher and educator in the field of Computer Science & Engineering, currently pursuing a Ph.D. with a focus on Computer Networks and Software Defined Wireless Sensor Networks (SDWSN). With over 12 years of teaching experience, including roles as an Assistant Professor and thesis supervisor, I have contributed significantly to academia. My research interests span optimization algorithms, energy-aware scheduling, and the application of machine learning in SDWSN. Notable achievements include publications in esteemed journals and conferences, along with participation in workshops and training programs, demonstrating a commitment to continuous learning and professional development.
šAcademic Qualification
Ph.D. (Pursuing) in Computer Science & Engineering, Rajasthan Technical University, Kota Specialization: Computer Networks Thesis Title: Clustering Based Distributed Controller Placement in Software Defined Wireless Sensor Networks Advisor: Dr. Chandra Prakash Gupta (2020-present) M. Tech in Computer Science & Engineering, Rajasthan Technical University, Kota (2017) Specialization: Computer Science & Engineering Thesis Title: ETC Based Resource Allocation to Minimize Makespan Time in Heterogeneous Computing System Advisor: Dr. Rohitash Baniyal B. Tech in Computer Science & Engineering, Rajasthan Technical University, Kota (2014)
š¬Ph.D. Research Statement
In my doctoral studies, I am working on the controller placement problem in Software Defined Wireless Sensor Networks (SDWSN). Specifically, I am utilizing the Sailfish Optimization based Controller Selection (SFO-CS) approach for selecting optimal nodes as Control Nodes (CNs) in SDWSN. This solution aims to address the challenge of selecting optimal CNs efficiently in SDWSN, considering factors such as energy consumption and computing power. Additionally, I am exploring Machine Learning (ML) based techniques to enhance the intelligence and robustness of SDWSNs, particularly focusing on Deep Learning (DL) to minimize transmission distance and energy consumption.
Ā Work Experience
- Assistant Professor, Department of Computer Science & Engineering, R N Modi Engineering College, Kota (Rajasthan) (August 2017-September 2018)
š»Skills
- Programming Languages: C/C++
- Simulation Software: Mininet, MATLAB, NS3, Cooja
Ā Journal
- Rajoriya, Manisha Kumari, and Chandra Prakash Gupta. “Sailfish optimization-based controller selection (SFO-CS) for energy-aware multi-hop routing in software defined wireless sensor network (SDWSN).” International Journal of Information Technology (2023): 1-14.
- Rajoriya, Manisha Kumari, and Chandra Prakash Gupta. “SO-CPP: Sailfish Optimization based Controller Placement in IoT-Enabled Software-Defined Wireless Sensor Networks.” International Journal of Communication Systems (Accepted).
Conferences
Rajoriya, Manisha Kumari, and Chandra Prakash Gupta. “A Taxonomy on Distributed Controllers in Software Defined Networking.” In 5th International Conference on Computing Methodologies and Communication (2021). (pp. 120-126). Rajoriya, Manisha Kumari, and Chandra Prakash Gupta. “Performance of Ryu and Pox Controllers for Software Defined Networking using Mininet Emulator.” 2nd International Conference on Recent Advances in Computational Techniques: IC-RACT 2022, AIP Conference Proceedings.
Book
- Rajoriya, Manisha Kumari. “Resource Allocation in Heterogeneous Computing System.” LAP LAMBERT Academic Publishing, Germany (July 13, 2023). ISBN-13: 978-6206740261
šResearch Area
Software Defined Networking, Wireless Sensor Network, Software Defined Wireless Sensor Network Controller Placement Problem, Optimization Algorithms, Energy Aware Scheduling