Dr. Imtiaz Parvez earned his Ph.D. in Electrical Engineering from Florida International University in December 2018. He earned his B.Sc. in Electrical and Electronics Engineering (EEE) from Bangladesh University of Engineering and Technology (2008), and M.Sc. from the University of North Texas (2013). Currently, he is working as a postdoctoral associate in the Center for Proactive ANalytics and Data-Oriented Research on Availability & Security (PANDORAS) of Florida International University.
He worked as a Specialist Engineer in Robi Axiata Ltd. for 3 years. He also worked for T mobile (through 3S network Inc.) in Summer 2013. His research interests include 5G and other Wireless Communications and Networks (e.g. WiFi, ZigBee), Cyber-Physical Systems security, and Machine Learning Applications in the Smart grid and IoT.
Email: email@example.com Link: Google Scholar
Dr. Ahmed Hasnain Jalal is a Postdoctoral Associate at the “Center for Proactive ANalytics and Data-Oriented Research on Availability & Security (PANDORAS)” lab under Energy, Power & Sustainability Group in Electrical and Computer Engineering of Florida International University (FIU). He completed his Ph.D. in Electrical Engineering from FIU in the year 2018. He earned his MS degree from Purdue University Northwest in 2010 and received his BS in Engineering from Chittagong University of Engineering and Technology (CUET) in 2007. After his MS, he was occupied as a Lecturer in the department of ‘Electronics and Communication Engineering’ of the University of Liberal Arts Bangladesh (ULAB) during 2012 – ‘14. Before joining this group, he worked as a Postdoctoral Associate at the “Biomolecular Sciences Institute” and “Adjunct Lecturer” at FIU for the year 2019 and a Visiting Assistant Professor at the University of North Florida in Spring 2020, respectively.
His research interest includes sensors (bio and environmental), sensor calibration, IoT, electrochemistry, thin-film fabrication, and optics. Meanwhile, he holds one US patent, one patent application (pending), and has published more than 25 articles, book chapters, and conference proceedings
Dr. Haneen Aburub received the B.Sc. degree in mechatronics engineering from Hashemite University, Zarqa, Jordan, in 2012, the M.Sc. degree in electrical engineering from Wichita State University, Wichita, Kansas, USA, in 2013, and the PhD. Degree in electrical engineering from Wichita State University, Wichita, Kansas, USA, in 2016. She is currently working as a Postdoctoral research associate at Florida International University in developing solutions that keeps the future smart grid to be resilient, reliable, and stable under the high penetration of renewable resources.
During her Ph.D. studies, she was working on a research project funded by the National Renewable Energy Laboratory (NREL) that focuses on developing sub- and full- optimized algorithms for operating adjustable speed pumped hydro storage in the current and future day-ahead and real-time US energy markets. In the summer of 2014, she gained a great deal of industry experience in the market optimization area while working on a day-ahead ISO-NE market project with the Market Management Systems (MMS) team at Alstom Grid. In 2013, she was a part of a Power Systems Engineering Center (PSERC) funded project, in which she assessed the use of the California ISO (CAISO) wholesale grid state indicator to enable price-responsive demand. This assessment was based on system and economic analyses for using the indicator to manage the operation of various smart grid technologies and applications. In 2012, she built with her team a self balanced two-wheeled human transportation system similar to the well- known Segway. She improved her control systems background during her internship period at the maintenance section of airplanes at RJAA.
Her current research interests are power systems economics and markets, energy storage optimization, renewable energy Integration, demand response, and smart grid development.
Open Post Doc Position at EPS Lab, FIU
Project Title: Data-Oriented research for high penetration renewable system to improve efficiency.
Location: Florida International University, Miami, Florida, USA
Starting Date: The position is available immediately. Initial contract duration is for one year, with potential extension for two more years.
Description: Energy Power & Sustainability (EPS) group at FIU invites application for a postdoctoral data-oriented research position in the EPS lab, FIU. Applicants must have knowledge of machine learning, deep learning, Artificial Intelligence and big data analysis. The selected candidate will work on applications of large-scale data in power systems and development and deployment of machine learning models. Moreover, the candidates with prior domain knowledge and an interest in working on electric vehicles, high penetration renewable systems, grid resiliency, smart grid cybersecurity and battery management system are also encouraged to apply.
As a postdoctoral researcher you will have many opportunities to conduct novel research to find new and better solutions to some of the most complex problems. Also, this appointment will provide the opportunity to collaborate with top researchers in the field and publish research in reputable conferences and journals.
Required Qualifications: The successful candidate must have the following:
- Ph.D. degree in Electrical Engineering or closely related field
- Established track-record of academic publications in top journals and conference proceedings
- Experience with machine learning and deep learning frameworks
- Exceptional written and verbal science communication skills
Submit your application: CV, a Google Scholar link, and a list of three references must be submitted to Dr Arif Sarwat at firstname.lastname@example.org