Roozbeh Sadeghian, Ph.D. Associate Professor of Analytics
Upon graduating with a degree in electrical engineering (control field), Dr. Sadeghian worked for seven years in several industries as a Senior Industrial Automation Engineer. Later, he pursued his PhD in signal processing and speech recognition.
During PhD. Dr. Sadeghian worked on speech features as the baseline to diagnose the speech delay in children and Alzheimer’s disease in elderly people. To address the issues properly, he conducted deep learning networks and has published several papers that proved his hypothesis of using speech recognition in diagnosing health disorders in early stages.
He is currently the lead instructor of Machine learning II (deep learning) course whereas he can share his enthusiasm and expertise with young researchers. He has published several papers on incorporating deep learning techniques to address health disorders.
Teaching and Research Interests:
Dr. Sadeghian’s teaching interests include graduate courses such as Machine learning, Pattern recognition, Analytics, Big Data, and Signal Processing.
His research is founded at the nexus of science and engineering of clinical diagnosis and early notice and assessments of healthcare disorders, analytics and data science. Specific topics include:
– Machine learning applications, Analytics, Big data and data science
– Modeling, detection and tracking of paralinguistic information, such as health state, and traits from human speech signal
– Acoustic and Language Modeling and analyzing the speech signals with applications to recognition and clinical assessments of speech
– Developing new and improving the current speech features to improve ASR accuracy.
Courses Taught at HU:
ANLY 500 – Analytics I
ANLY 530 – Machine Learning I
ANLY 535 – Machine Learning II ANLY 545 – Analytical Methods II
ANLY 560 – Functional programming in analytics
Ph.D. in Electrical Engineering, State University of New York at Binghamton, Binghamton, NY, USA.
M.Sc. In Electrical Enginieering, Shiraz University, Shiraz, Iran.
B.Sc. In Electrical Engineering, Isfahan University of Technology, Isfaha, Isfahan, Iran.
HU professor to serve as ‘AI in a Post-Covid World” conference panelist
Harrisburg University Analyitics Professor, Dr. Roozbeh Sadeghian, will serve as a panelist in a virtual conference that will focus on...
HU professors to discuss tech careers with Panamanian students
Education USA Panama City will host a Virtual Tech Summer Camp Career Showcase featuring five Harrisburg University professors at 4:15...
Harrisburg University to award first doctoral degree
Maria Vaida is about to make history at Harrisburg University as she will become the first student to earn a...
HU Susquehanna River research receives Best Paper award at international conference
A paper resulting from groundbreaking research being conducted by Harrisburg University faculty and students in partnership with the Susquehanna River...
HU Susquehanna River research accepted for publication
A paper featuring the groundbreaking research being conducted by Harrisburg University faculty and students, and in collaboration with the Susquehanna River...
HU team helps lead state Covid-19 Health Equity Response Team
A group of Harrisburg University professors and staff have joined the state Department of Health’s COVID-19 Health Equity Response Team...
Professors win computer science ‘Outstanding Achievement Award’
Four Harrisburg University professors took home the “Outstanding Achievement Award” as they presented their co-authored research paper, “Diagnosing Heart Disease...
HU Professors’ Research Accepted for Publication
Professors Siamak Aram, Roozbeh Sadeghian, Stanley Nwoji, and Iheb Abdellatif, whose team paper, titled “Diagnosing Heart Disease Types From Chest X-Rays Using...
HU’s dementia testing tool selected for Proof-of-Concept Program
The University City Science Center in Philadelphia has selected a dementia testing tool proposed by a Harrisburg University of Science...