PhD students
Jaejin Cho
Jaejin Cho is a Ph.D. student since Fall 2016 in CLSP at JHU working with Najim Dehak, Jesus Villalba, Laureano Moro-Velazquez, and Piotr Zelasko. Nowadays, he is interested in and works on self-supervised learning techniques for different speech applications. His previous works include speech applications using end-to-end (sequence) modeling and neural networks. He got his B.S. degree in EE at UTD in 2015 and KNU (in South Korea) in 2016.
Saurabh Kataria
Saurabh Kataria is currently a 5th year PhD student at Johns Hopkins. His research interests include speaker recognition, speech enhancement, domain adaptation, and deep learning. He completed his masters and bachelors degree in Electrical Engineering from IIT Kanpur, India where he focused on emotion recognition using machine learning. In his free time, he likes to do yoga and try to learn something new every day.
Saurabhchand Bhati
Saurabhchand Bhati is a fourth-year Ph.D. student working with the Center for Language and Speech Processing (CLSP) at Johns Hopkins University. His research interests are unsupervised spoken term discovery and unsupervised representation learning. Recently he has been working on jointly learning the segmentation and feature representations. He received B.tech and M.tech in Electrical Engineering from IIT Hyderabad, India, in 2017.
Sonal Joshi
Sonal Joshi is a third-year PhD candidate with a research interest in developing countermeasures against adversarial attacks on speech technologies. She also fiddles in some challenges in medical applications of speech processing. Earlier, Sonal received her Master’s degree in Electrical Engineering from the Indian Institute of Technology Jodhpur and worked at TCS Research and Innovation. In her free time, she loves to travel, cook, paint, and volunteer for GirlsWhoML (though not necessarily in that order!).
Olorundamilola "Dami" Kazeem
Olorundamilola Kazeem is a first-year Ph.D. student. He is a 2021 DOE Computational Science Graduate Fellowship recipient, a 2021 NSF GRFP Honorable Mentionee, and a 2021 GEM Fellowship recipient. He received his M.Eng in Computer Engineering from Stevens Institute of Technology (2014); and received his dual-degrees a B.Sc. in Mathematics from New York University and a B.Eng. in Electrical Engineering from Stevens Institute of Technology (2007). His current research interests are in the areas of accent and emotion recognition. He enjoys cooking, traveling, and watching sci-fi movies.
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Anna Favaro
Anna Favaro is a first-year PhD student. Anna received her bachelor’s degree in philosophy of language and formal logic at University Vita e Salute San Raffaele (Milano), and her master’s degree in Language and Multimodal Interaction at CiMeC (University of Trento). In the last year, at Politecnico di Milano, she worked on Italian Text to Speech Synthesis and, following this experience, she decided to spend my PhD working on speech and language processing. Her current research revolves around the automatic detection and assessment of neurological diseases using speech and language technologies.
Maliha Jahan
Maliha Jahan graduated from Bangladesh University of Professionals, Dhaka, Bangladesh in 2020. Her major was Information and Communication Engineering. She joined Johns Hopkins University as a Ph.D. student in Fall 2020. Her research mainly involves Natural Language Processing and Speech Processing.
Amir Hussein
Amir Hussein is a first-year PhD student. Amir got a Master in Machine Intelligence from the American University of Beirut (AUB). His research interest is mainly in Transfer learning and low resourced ASR including Multilingual, Multidialectal, and Code-Switching.
Master's students
Hyun Joo Rosalyn Shin
Hyun Joo Rosalyn Shin is a Computer Science master's student and research assistant at Center for Language and Speech Processing at Johns Hopkins University. Her main research interest is focused on analysis of impact of AI/ML on people's life at home and work. This includes from investigating gender bias in ML algorithms or AI tools to making suggestions in policy-making practices for both governments and corporates. My ultimate goal is to create a personalized AI assistant with a unique personality that can benefit the end users without any harm. Rosalyn lives with two cats: Sirius and Eleanora. Feel free to visit Rosalyn's website (thisisrosalyn.com) to see their photos!
Yi-Ting Tsai
Yi-Ting Tsai is a Master's student from the Electrical & Computer Engineering department at Hopkins. Her areas of interest are speech processing and audio signal processing. Yi-Ting has been working on and collaborating with the speech and handwriting analysis of Parkinson’s and other neurodegenerative diseases project in the lab. Yi-Ting likes to play table tennis.
Prabha Sahiti Mandaleeka
Prabha is a Master's Student in the Department of Biomedical Engineering. Prabha works on developing Machine Learning techniques to detect Parkinson's Disease using Handwriting data. She enjoys exploring Data Analysis, Machine Learning and Deep Learning tools for Biomedical Signals and Images along with understanding how these can be implemented in products. On the days she is not at the lab, she on on her feet, either at a museum or out for a run.
Undergraduate students
Alex Ozbolt
Alex is a fourth-year undergraduate student majoring in both electrical and computer engineering, as well as a minor in pure mathematics. Joining in the spring of 2019, his research is focused on the detection of Parkinson’s Disease from sustained vowel phonations. Alex grew up in Lutherville, just north of Baltimore, so coming to Hopkins let him stay close to his parents, grandparents, and three younger siblings. In his free time, Alex plays the french horn, and runs for the JHU track and field team, competing mostly in middle-distance events.
Lauren Siu
Lauren Siu is currently a sophomore studying Electrical and Computer Engineering at Johns Hopkins University and has been working on extracting patient data in accessible and user-friendly formats for analysis. In her free time, she has been trying to improve her cooking and exploring more of Baltimore.
Casey Chen
Casey Chen is a second year undergraduate majoring in electrical engineering and minoring in robotics. Her research currently focuses on vocal analysis of Parkinson’s patients and testing a wearable eye tracker that could potentially be used in future projects. In her free time, she enjoys crocheting, watching tv, and hanging out with friends and family.
Visiting students
Magdalena Rybicka
Magdalena Rybicka is a PhD candidate at AGH University of Science and Technology in Krakow, Poland, advised by Konrad Kowalczyk. She collaborates with the CLSP team since 2020, in the fall semester of 2021 she was a Visiting PhD Student in the lab.
She received the B.Eng. and M.Sc. degrees in Electronics and Telecommunications from AGH in 2018 and 2019. Her current research is into the application of machine learning methods to speaker recognition and diarization tasks.
Apart from research, she enjoys playing the violin, in particular Carpathian folk music.
