Dr. Samira Mavaddati | Signal Processing | Excellence in Research

Dr at Signal Processing, Signal Processing, Iran

👨‍🎓She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Dr. Samira Mavaddati has a Ph.D. in Electronics Engineering, Major in Digital Electronics, from the Department of Electrical Engineering, Amirkabir University of Technology, Tehran Polytechnic, in 2016. She achieved a GPA of 18.61/20. Her thesis focused on “Noise reduction of speech signals based on sparse representation methods” and received a score of 19.5/20. She also holds an M.Sc. in Electronics Engineering from the Department of Electrical Engineering, Babol University of Technology, Babol, Iran, earned in 2010, with a GPA of 18.50/20. Her thesis was on “Blind source separation using evolutionary algorithms for speech and image signals,” which received a score of 19.9/20. Furthermore, Dr. Mavaddati has a B.Sc. in Electronics Engineering from the Department of Electrical Engineering, Babol University of Technology, Babol, Iran, obtained in 2007, with a GPA of 18.05/20. Her thesis focused on “Designing IR transceiver using AVR microcontroller” and received a perfect score of 20/20. She completed her High School Diploma in Mathematics and Physics at Osveh High School, Babol, Iran, in 2002, with a GPA of 18.55/20.

Honors:

Dr. Samira Mavaddati was accepted as a Ph.D. student in Amirkabir University of Technology in 2011 due to her outstanding educational background in M.Sc. and B.Sc. She ranked 1st among M.Sc. students in the Department of Electrical Engineering, Babol University of Technology, in 2008 and 2009, and was recognized as the distinguished student of the M.Sc. degree in the same department for these years. Additionally, she ranked 1st among B.Sc. students in the Department of Electrical Engineering, Babol University of Technology, in 2006, 2007, and 2008, and was recognized as the distinguished student of the B.Sc. degree in the same department for 2007 and 2008.

Research Interest:

Dr. Samira Mavaddati’s research interests encompass a wide range of topics in the field of electronics engineering and signal processing. She is particularly interested in dictionary learning-based methods, sparse representation techniques, and compressive sensing. Her research also focuses on speech processing, enhancement, and recognition, as well as biomedical signal processing. Additionally, she is involved in research on image processing, voice or music processing, blind source separation approaches, and the application of soft computing, evolutionary computing, and swarm-based algorithms. Dr. Mavaddati is also interested in single-objective optimization and multi-objective optimization methods, artificial intelligence, artificial neural networks, machine vision, and fuzzy logic.

Teaching Experience:

Dr. Samira Mavaddati has extensive experience teaching various courses in electronics engineering. She has taught courses such as digital signal processing, engineering mathematics, basic electrical engineering, communication systems, signals and systems, logic circuit, electrical circuits lab, and logic circuit-computer architecture lab. Since 2016, she has been serving as an Assistant Professor at the University of Mazandaran, Babolsar, Iran. As a teacher assistant at the Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran, from 2012 to 2013, Dr. Mavaddati taught the speech processing course for MSc students. She has also been an instructor at Aryan Institute of Higher Education and Technology, Babol, Iran, since 2015, teaching courses such as evolutionary computing, soft computing, neural network, fuzzy logic, and digital signal processing for MSc students.

Academic Activities:

Dr. Samira Mavaddati has been serving as a supervisor, advisor, and referee for MSc students’ theses in the fields of electrical engineering-electronic integrated circuits and computer engineering-artificial intelligence and robotics at Aryan Institute of Higher Education and Technology, Babol, Iran, since 2015. She has also contributed as a reviewer for conferences and journals, including the 2nd and 3rd International Conferences on Signal Processing and Intelligent Systems (ICSPIS) at Amirkabir University of Technology, Tehran, in December 2016 and December 2017, respectively. Dr. Mavaddati has also served as a reviewer for the Journal of Iranian Association of Electrical and Electronics Engineers (JIAEEE) and the Journal of Information Systems and Telecommunication (JIST).

Professional Experience & Skills:

Dr. Samira Mavaddati’s professional experience includes:

Co-Founder and Board of Directors of Abar Rayane Tabarestan High Tech Startup Company 🚀
Member of the Innovation Center of Babol Noshirvani University of Technology 💡
Researcher and Scientific Programmer in AI Team at Abar Rayane Tabarestan Company 🧠

Her computer skills include proficiency in programming languages such as VHDL, Verilog, C++, Matlab, Simulink, Assembly, Pascal, Assembly X86, Microprocessor 8051, AVR, PIC, and Z80. She is also adept at using technical software like the HTK toolbox, Optimization toolbox, PSpice, Hspice, Orcad, Proteus professional, Codevision, and Bascom. Additionally, Dr. Mavaddati is familiar with operating systems like Windows and applications including the MS Office collection and Mathtype.

Publications:

“A novel speech enhancement method by learnable sparse and low-rank decomposition and domain adaptation” (2016) – S Mavaddaty, SM Ahadi, S Seyedin – Speech Communication, 76, 42-60 (Citations: 36)

“Modified coherence‐based dictionary learning method for speech enhancement” (2015) – S Mavaddaty, SM Ahadi, S Seyedin – IET Signal Processing, 9 (7), 537-545 (Citations: 21)

“Blind signals separation with genetic algorithm and particle swarm optimization based on mutual information” (2011) – S Mavaddaty, A Ebrahimzadeh – Radioelectronics and Communications Systems, 54 (6), 315-324 (Citations: 21)

“Speech enhancement using sparse dictionary learning in wavelet packet transform domain” (2017) – S Mavaddaty, SM Ahadi, S Seyedin – Computer Speech & Language, 44, 22-47 (Citations: 19)

“A novel technique for blind source separation using bees colony algorithm and efficient cost functions” (2014) – A Ebrahimzadeh, S Mavaddati – Swarm and Evolutionary Computation, 14, 15-20 (Citations: 18)

“Voice-based Age and Gender Recognition Based on Learning Generative Sparse Models” (2018) – S Mavaddati – International Journal of Engineering, 31 (9), 1529-1535 (Citations: 10*)

“A comparative study of bees colony algorithm for blind source separation” (2012) – S Mavaddaty, A Ebrahimzadeh – 20th Iranian Conference on Electrical Engineering (ICEE2012), 1172-1177 (Citations: 9)

“A novel singing voice separation method based on a learnable decomposition technique” (2020) – S Mavaddati – Circuits, Systems, and Signal Processing, 39 (7), 3652-3681 (Citations: 7)

“Rice classification and quality detection based on sparse coding technique” (2018) – S Mavaddati – International Journal of Engineering, 31 (11), 1910-1917 (Citations: 7)

“A Novel Singing Voice Separation Method Based on Sparse Non-Negative Matrix Factorization and Low-Rank Modeling” (2018) – S Mavaddati – Iranian Journal of Electrical and Electronic Engineering, 15 (2), 161-171 (Citations: 5)