R e z a   S h a h i d i
ASSISTANT PROFESSOR

ACADEMIC LIFE

MY PUBLICATIONS

Two new methods for the extraction of significant wave heights from received HF-radar time series

IEEE Geoscience and Remote Sensing Letters

Journal Paper
RESEARCH PAPERS
Explore my research papers, where each entry reflects my dedication to in-depth research and a profound passion for knowledge
JANUARY 2020

Two new methods for the extraction of significant wave heights from received HF-radar time series

For close to half a century, the usual procedure to determine ocean surface information from HF-radar data has been to first form the Doppler spectrum from the received time series, and then process the result to extract important wave parameters, such as significant wave height, primary wave period, principal wave direction, or even the full directional ocean wave spectrum. In the current work, we bypass the calculation of the Doppler spectrum and still calculate the significant wave height (H s ) from the received radar data using two related proposed methods. The first calculates H s from the variances of the short-time Fourier transform coefficients of the first-order received field. The second uses the estimated variance of the received electrical field signal to determine H s . Both methods require an initial external calibration stage, which can be either performed analytically from the data or by deploying a wave buoy 

MARCH 2009

The role of technology in education and its effects on student learning outcomes

Within the educational landscape, our research endeavors to unravel the multifaceted role of technology in shaping modern learning experiences. The first segment scrutinizes the integration of technology in educational settings, examining its influence on pedagogical approaches and classroom dynamics. By exploring the synergies between traditional teaching methods and technological innovations, we aim to shed light on the evolving nature of education in the digital age.

Transitioning to the second phase, our research meticulously assesses the impact of technology on student learning outcomes. Through comprehensive analysis and empirical studies, we aim to delineate the nuanced effects technology has on cognitive development, academic achievement, and overall educational attainment. Join us in this exploration of how technology is not merely a tool but a transformative force, redefining the very essence of learning and paving the way for a technologically enriched educational future.

JANUARY 2010

Exploring the use of artificial intelligence and machine learning in fraud detection and prevention.

Embark on a journey through the intricate landscape of fraud detection and prevention with our research papers, as we delve into the transformative potential of artificial intelligence (AI) and machine learning. The first segment scrutinizes the foundational principles of AI and machine learning algorithms, revealing their capacity to discern patterns and anomalies within vast datasets. Unveiling the synergistic alliance between technology and the fight against fraud, our exploration underscores the dynamic capabilities that AI brings to the forefront of security strategies.

As we navigate deeper into the realm of fraud prevention, the subsequent papers unravel the practical applications of AI and machine learning in real-world scenarios. From adaptive fraud models to predictive analytics, our research showcases the efficacy of these technologies in staying one step ahead of evolving fraudulent tactics. Join us in deciphering how AI and machine learning stand as powerful allies in the ongoing battle against fraud, reshaping the landscape of security protocols with their proactive and adaptive capabilities.

LABORATORY TEAM & ALUMNI

MASOUD TORABI

PHD STUDENT

SONDOS OMAR

M. ENG. STUDENT

MASOUD SALMANI ARANI

PHD STUDENT

ABDULKAREEM

M. ENG. STUDENT