Dr.Rani Abdul Jabbar
Assistant Professor
Academic Qualifications Obtained
2016 | Doctorate in Engineering (Power systems), Satyabhama University, India |
2006 | Masters in Engineering (Power systems Engineering), Anna University, India |
2003 | Bachelor of Engineering (Electrical and Electronics), Madras University, India |
Professional Certifications
2021 | AI Master class using MATLAB, IEE& Pantech, India |
2020 | Certification on Artificial Intelligence & Machine Learning Using python, Finland labs, India |
2020 | Certification on Internet of Things Using Raspberry pi, Finland labs, India |
Teaching Expertise
2017-2022 | Assistant Professor, University of Technology and Applied Sciences -Al Musanna-Sultanate of Oman |
2008-2017 | Assistant Professor Sathyabama University, Chennai, India |
2007-2008 | Assistant Professor, St.Peter’s University , Chennai, India |
2006-2007 | Lecturer, Dr.M.G.R. University, Chennai, India |
Research
Areas of Research Interest
Design and Implementation of Integrated Intelligent Controller for Prevention and Detection of Accident Using IoT and VANET Assisted Communication
Project ID: BFP /RGP /ICT /19 /227
Agreement No: URG CALL 7
Year: 2019
Period: November 2019 to November 2021
Department of Engineering
University of Technology and Applied Sciences-Al Mussanah
Areas of Research Interest
Power Quality Study, Internet of Things, Communication strategy
Short description about the Oman Government research project
The advancement of microelectronics and web-based communication are making a good space in various avenues of human comfort. Though the advanced transport systems prove to be a boon to mankind, the same has also been a disaster and tragedy when it comes to fatal accidents accompanied by huge loss of life and property. This loss is predominant when medical services and family members are not getting accidental information on time. The objective of this proposal is to design a working prototype of intelligent and integrated safety system to public and private vehicles in Oman, to prevent road accidents by alerting the driver under abnormal conditions and if incase of accident, the detailed information related to the accident is shared with the nearest hospitals, ROP stations and prestored numbers very quickly through Vehicular ad-hoc networks (VANET) in IOT Platform. This early detection is possible by continuously monitoring the important parameters of the vehicle through inbuilt sensors embedded with IOT (internet of things Technology) and this data is continuously compared with the standard information, the deviated values are shared to the main server through a cloud service. The location of the vehicle will be tracked consistently through GPS system. A GSM/GPRS system is used to send an alert message, if the location is a no network area, a RF module is used to transmit the alert information and is received by the moving vehicle having this system within the range of RF Module, and this is sent to the next moving vehicle and this process will continue like a chained series until the vehicle in the network area will receive this message. As soon as the message is received by the vehicle in network area, the alert message will be transmitted to the base station of the VANET
Publications
- Fathima, K. R., & Bharathi, M. L. (2017, March). A novel grid integration scheme for the hybrid electric power generation using solar and wind energy resources. In 2017 International Conference on Computation of Power, Energy Information and Commuincation (ICCPEIC) (pp. 599-609). IEEE.
- Senthil Nayagam, V., Gopinath, D., Vetri Velmurugan, K., Fathima, R., Joy Kinol, M., Alias Surendhar, P., & Christopher, D. (2021). Liquid Crystal Display (LCD) and Organic Light Emitting Diode (OLED) Applications on Natural Fibre Reinforced Polymer Matrix Composites. Advances in Materials Science and Engineering, 2021.
- Fathima, K. R., & Raghavendiran, T. A. (2014). A novel intelligent unified controller for the management of the Unified Power Flow Controller (UPFC) using a single back propagation feed forward artificial neural network. Indian Journal of Science and Technology, 7(8), 1155-1169.
- Fathima, K. R., & Raghavendiren, T. A. (2014, March). Intelligent controller based three phase shunt active filter for THD reduction in non-linear load and capacitor voltage stability. In 2014 2nd International Conference on Devices, Circuits and Systems (ICDCS) (pp. 1-7). IEEE.
- Stalin, R., Kumar, S. S., & Fathima, K. R. (2016, March). Coordinated control of UPFC with SMES and SFCL for improvement of power system transient stability. In 2016 Second International Conference on Science Technology Engineering and Management (ICONSTEM) (pp. 276-280). IEEE.
- Iswarya, M., & Fathima, K. R. (2018, March). Enhanced Custom Power Device to Compensate Voltage and Improve Power Quality. In 2018 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC) (pp. 478-482). IEEE.
- Ramadevi, N., & Fathima, K. R. (2013). A Novel ZCS DC–DC Full–Bridge Boost Converter with Secondary Resonance. In International Conference on Engineering and Technology (p. 51).
- Bharathi, M. L., Basha, R. F. K., Ramanathan, S. K., & Harikrishnan, R. (2020). Fuzzy Logic controlled Maximum Power Point Tracking for SEPIC converter fed DC drive-A Hybrid Power Generation System. Microprocessors and Microsystems, 103371.
- FATHIMA, K. R., & RAGHAVENDIRAN, T. (2014). AN EXTENDED ARTIFICIAL IMMUNE SYSTEM FOR VOLTAGE PROFILE OPTIMIZATION USING UNIFIED POWER FLOW CONTROLLER. Journal of Theoretical & Applied Information Technology, 65(1).
- Fathima, K. R. (2006). A PARTICLE SWARM OPTIMIZED PI CONTROLLERS FOR THE MANAGEMENT OF THE UNIFIED POWER FLOW CONTROLLERS IN A SINGLE MACHINE INFINITE BUSBAR SYSTEM.
- Basha, R. F. K., & Venusamy, K. (2020, December). A Detailed Study Of Effective Online Technical Teaching Aids For Augmented Learning in Covid’19 Pandemic. In 2020 Sixth International Conference on e-Learning (econf) (pp. 267-270). IEEE.
- Basha, R. F. K., Bharathi, M. L., & Venusamy, K. (2021, May). Dynamic prediction of energy and power usage cost using linear regression-machine learning analysis. In Journal of Physics: Conference Series (Vol. 1921, No. 1, p. 012067). IOP Publishing.
- Basha, R. F. K., Bharathi, M. L., & Venusamy, K. (2021, May). Dynamic prediction of energy and power usage cost using linear regression-machine learning analysis. In Journal of Physics: Conference Series (Vol. 1921, No. 1, p. 012067). IOP Publishing.
- Venusamyand, K., & Basha, R. F. K. (2020). An enhanced, contactless, IoT based operation of power appliances for COVID-19 isolation zone. J. Green Eng, 10, 4577-4583.
- Ramanathan, S. S. K., Basha, R. F. K., & Banu, A. (2021). A novel face recognition technology to enhance health and safety measures in hospitals using SBC in pandemic prone areas. Materials Today: Proceedings, 45, 2584-2588.
- Basha, R. F. K., & Venusamy, K. (2021, December). IoT Enabled Solar Powered Water Purification System for Rural Areas. In 2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) (pp. 1-6). IEEE.
- Fathima, K. A., & Raghavendiran, T. A. (2014). Augmentation of Real Power from Renewable Energy Sources across the DC Link of the UPFC using Fuzzy Logic Control scheme. In Applied Mechanics and Materials (Vol. 573, pp. 66-71). Trans Tech Publications Ltd.
- Ramya, D., Basha, R., & Bharathi, M. L. (2021). Fault diagnosis of induction motor drive using motor current signature analysis.
- Basha, R. F. K. (2021). DESIGN AND IMPLEMENTATION OF INTEGRATED INTELLIGENT CONTROLLER FOR PREVENTION AND DETECTION OF ACCIDENT USING IoT AND VANET ASSISTED COMMUNICATION. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(14), 4271-4281.
- Venusamy, K., & Basha, R. F. K. (2021). Design and Implementation of FAQ Chabot in Higher Education Institutions web portal-Sultanate of Oman.
- Ramya, D., Basha, R., & Bharathi, M. L. (2021). HYDROGEN HYBRID MACHINE.
- Bharathi, M. L., Basha, R., & Ramya, D. (2021). Intelligent Maximum Power Point Tracking for PV Powered Converter.
- Basha, R. F. K., & Bharathi, M. L. (2019, June). A Wind Energy Supported DSTATCOM for Real and Reactive Power Support for a Linear Three-Phase Industrial Load. In International Conference on Intelligent Computing and Communication (pp. 755-767). Springer, Singapore.
Patents
- Dr. Rani Fathima, Prashant Kumar, Dr. Neelam Choudhary, , ”A Novel Intelligent Software based Cardiovascular Monitoring System” ,Indian patent no. 202011035976,18th September 2020
- Dr. Bharathi M. L., Dr. Rani Fathima , Dr J Femila Roseline”, Mouse Holder,” Indian Patent No. 335981-001,29/01/2021.
Boards, Advisory committees, Professional organizations
- Reviewer in the Journal– Renewables: Wind, Water, and Solar Springer Open
- Reviewer in the Journal – Journal of Energy Research and Reviews-Reviewed one research paper