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<head>
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<title>My Portfolio Website</title>
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<h2 class="subtitle">Shehzeen Samarah Hussain</h2>
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Email: shehzeensh@gmail.com
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Download Resume</a>
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<div class="hero-right" style="text-align: justify;">
<p><strong>Research Scientist in Conversational AI at NVIDIA</strong></p>
<p>I am currently investigating robust LLMs for speech generation, developing efficient learning algorithms that scale up to diverse speakers and languages.</p>
<p>I received my Ph.D. in Computer Engineering from UC San Diego, at the <a href="http://aceslab.org/">Adaptive Computing and Embedded Systems Lab</a> advised by Professor <a href="https://jacobsschool.ucsd.edu/people/profile/farinaz-koushanfar">Farinaz Koushanfar</a>. During the Ph.D, my research centered on machine learning, speech and natural language processing, generative AI, adversarial learning, systems security and vulnerability analysis of deep learning models. I have been awarded the <a href="https://ece.ucsd.edu/awards/student">William S.C. Chang Best Ph.D. Dissertation Award</a> in Electrical and Computer Engineering (ECE) Department at UC San Diego for my doctoral dissertation on <a href="https://escholarship.org/content/qt9tb3096r/qt9tb3096r.pdf">Robust and Efficient Deep Learning for Multimedia Generation and Recognition</a>.</p>
<p>I completed my B.Sc. in Electrical Engineering from University of Massachusetts, Amherst and B.A in Physics from Mount Holyoke College in 2015 and 2014, respectively. Prior to pursuing my research interests, I worked as an Applications Engineer at Global Foundries New York. I’m a recipient of <a href="https://ucsdnews.ucsd.edu/pressrelease/charles_lee_powell_foundation_three_decades_of_giving_to_uc_san_diego_jacobs_school_of_engineering">Charles Lee Powell Foundation Fellowship</a>.</p>
</div>
</div>
</section>
<section data-scroll-index="1">
<div class="process" id = "news">
<div class="header">
<h1 class="title">News!</h1>
</div>
<div class="process-wrapper">
<div class = "publicationlist" style="padding-top: 50px;">
<ul>
<li><h2 style="padding-bottom: 10px;">August 2025: Our paper Koel-TTS: Enhancing LLM based Speech Generation with Preference Alignment and Classifier Free Guidance got accepted at EMNLP 2025!</h2></li>
<li><h2 style="padding-bottom: 10px;">August 2025: Our papers HiFiTTS-2 and NanoCodec got accepted at Interspeech 2025!</h2></li>
<li><h2 style="padding-bottom: 10px;">July 2024: Our paper Improving Robustness of LLM-based Speech Synthesis Models by Learning Monotonic Alignment got accepted at Interspeech 2024!</h2></li>
<li><h2 style="padding-bottom: 10px;">June 2024: I received the William S.C. Chang Best Ph.D. Dissertation Award in Electrical and Computer Engineering (ECE) Department at UC San Diego!</h2></li>
<li><h2 style="padding-bottom: 10px;">May 2024: Our paper SelfVC got accepted at ICML 2024!</h2></li>
<li><h2 style="padding-bottom: 10px;">March 2024: Our paper REMARK-LLM got accepted at USENIX Security 2024!</h2></li>
<li><h2 style="padding-bottom: 10px;">January 2024: Our paper FaceSigns: Semi-Fragile Watermarks for Media Authentication got accepted at ACM Transactions on Multimedia Computing, Communications, and Applications!</h2></li>
<li><h2 style="padding-bottom: 10px;">July 2023: I joined Nvidia as a Research Scientist after successfully defending my Ph.D!</h2></li>
</ul>
</div>
</div>
</div>
</section>
<section data-scroll-index="3">
<div class="process" id = "publications">
<div class="header">
<h1 class="title">Publications</h1>
</div>
<div class="process-wrapper">
<div class = "publicationlist" style="padding-top: 50px;">
<ul>
<li><h2 id="koel-tts-enhancing-llm-based-speech-generation-with-preference-alignment-and-classifier-free-guidance">Koel-TTS: Enhancing LLM based Speech Generation with Preference Alignment and Classifier Free Guidance</h2>
<p><strong>Shehzeen Hussain</strong>, Paarth Neekhara, Xuesong Yang, Edresson Casanova, Subhankar Ghosh, Mikyas T Desta, Roy Fejgin, Rafael Valle, Jason Li<br />
Conference on Empirical Methods in Natural Language Processing <a href="https://2025.emnlp.org/">EMNLP</a> 2025, ICML 2025 Workshop on Machine Learning for Audio AI Heard That!<br />
[ <a href="https://arxiv.org/pdf/2502.05236">paper</a>, <a href="https://icml.cc/virtual/2025/52884">ICML Workshop</a>, <a href="https://koeltts.github.io/">audio examples</a> ]</p></li>
<li><h2 id="nanocodec-towards-high-quality-ultra-fast-speech-llm-inference">NanoCodec: Towards High-Quality Ultra Fast Speech LLM Inference</h2>
<p>Edresson Casanova, Paarth Neekhara, Ryan Langman, <strong>Shehzeen Hussain</strong>, Subhankar Ghosh, Xuesong Yang, Ante Jukić, Jason Li, Boris Ginsburg<br />
<a href="https://www.interspeech2025.org/home">Interspeech</a> 2025<br />
[ <a href="https://www.isca-archive.org/interspeech_2025/casanova25_interspeech.pdf">paper</a>]</p></li>
<li><h2 id="hifitts-2-a-large-scale-high-bandwidth-speech-dataset">HiFiTTS-2: A Large-Scale High Bandwidth Speech Dataset</h2>
<p>Ryan Langman, Xuesong Yang, Paarth Neekhara, <strong>Shehzeen Hussain</strong>, Edresson Casanova, Evelina Bakhturina, Jason Li<br />
<a href="https://www.interspeech2025.org/home">Interspeech</a> 2025<br />
[ <a href="https://www.isca-archive.org/interspeech_2025/langman25_interspeech.pdf">paper</a>]</p></li>
<li><h2 id="low-frame-rate-speech-codec-a-codec-designed-for-fast-high-quality-speech-llm-training-and-inference">Low frame-rate speech codec: a codec designed for fast high-quality speech LLM training and inference</h2>
<p>Edresson Casanova, Ryan Langman, Paarth Neekhara, <strong>Shehzeen Hussain</strong>, Jason Li, Subhankar Ghosh, Ante Jukić, Sang-gil Lee<br />
IEEE International Conference on Acoustics, Speech and Signal Processing <a href="https://2025.ieeeicassp.org/">(ICASSP)</a> 2025<br />
[ <a href="https://ieeexplore.ieee.org/abstract/document/10888202">paper</a>]</p></li>
<li><h2 id="improving-robustness-of-llm-based-speech-synthesis-models-by-learning-monotonic-alignment">Improving Robustness of LLM-based Speech Synthesis Models by Learning Monotonic Alignment</h2>
<p>Paarth Neekhara*, <strong>Shehzeen Hussain*</strong>, Subhankar Ghosh, Jason Li, Rafael Valle, Rohan Badlani, Boris Ginsburg<br />
<a href="https://interspeech2024.org/">Interspeech</a> 2024<br />
[ * Equal Contribution ]<br />
[ <a href="https://arxiv.org/pdf/2406.17957">paper</a>, <a href="https://developer.nvidia.com/blog/addressing-hallucinations-in-speech-synthesis-llms-with-the-nvidia-nemo-t5-tts-model/">blog</a>, <a href="https://t5tts.github.io/">audio examples</a> ]</p></li>
<li><h2 id="selfvc-voice-conversion-with-iterative-refinement-using-self-transformations">SelfVC: Voice Conversion With Iterative Refinement using Self Transformations</h2>
<p>Paarth Neekhara*, <strong>Shehzeen Hussain*</strong>, Rafael Valle, Boris Ginsburg, Rishabh Ranjan, Shlomo Dubnov, Farinaz Koushanfar, Julian McAuley<br />
International Conference on Machine Learning <a href="https://icml.cc/">(ICML)</a> 2024<br />
[ * Equal Contribution ]<br />
[ <a href="https://proceedings.mlr.press/v235/neekhara24a.html">paper</a>, <a href="https://research.nvidia.com/labs/conv-ai/publications/2024/2024-selfvc/">blog</a> ]</p></li>
<li><h2 id="remark-llm-a-robust-and-efficient-watermarking-framework-for-generative-large-language-models">REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models</h2>
<p>Ruisi Zhang, <strong>Shehzeen Hussain</strong>, Paarth Neekhara, Farinaz Koushanfar<br />
USENIX Security Symposium <a href="https://www.usenix.org/conference/usenixsecurity24">(USENIX)</a> 2024<br />
[ <a href="https://www.usenix.org/conference/usenixsecurity24/presentation/zhang-ruisi">paper</a> ]</p></li>
<li><h2 id="facesigns-semi-fragile-watermarks-for-media-authentication">FaceSigns: Semi-Fragile Watermarks for Media Authentication</h2>
<p>Paarth Neekhara*, <strong>Shehzeen Hussain*</strong>, Xinqiao Zhang, Ke Huang, Julian McAuley, Farinaz Koushanfar<br />
ACM Transactions on Multimedia Computing, Communications, and Applications <a href="https://dl.acm.org/journal/tomm">(TOMM)</a> 2024<br />
[ * Equal Contribution ]<br />
[ <a href="https://dl.acm.org/doi/10.1145/3640466">paper</a> ]</p></li>
<li><h2 id="netflick-adversarial-flickering-attacks-on-deep-learning-based-video-compression">NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression</h2>
<p>Jung-Woo Chang, Nojan Sheybani, <strong>Shehzeen Hussain</strong>, Mojan Javaheripi, Seira Hidano, Farinaz Koushanfar
IEEE International Conference on Learning Representations <a href="https://iclr.cc/Conferences/2023">(ICLR)</a> Workshop on ML4IoT 2023<br />
[ <a href="https://arxiv.org/abs/2304.01441">paper</a>, <a href="https://iclr.cc/media/iclr-2023/Slides/14755.pdf">poster</a> ]</p></li>
<li><h2 id="ace-vc-adaptive-and-controllable-voice-conversion-using-explicitly-disentangled-self-supervised-speech-representations">ACE-VC: Adaptive and Controllable Voice Conversion using Explicitly Disentangled Self-supervised Speech Representations</h2>
<p><strong>Shehzeen Hussain</strong>, Paarth Neekhara, Jocelyn Huang, Jason Li, Boris Ginsburg<br />
IEEE International Conference on Acoustics, Speech and Signal Processing <a href="https://2023.ieeeicassp.org/">(ICASSP)</a> 2023<br />
[ <a href="https://ieeexplore.ieee.org/document/10094850">paper</a>, <a href="https://paarthneekhara.github.io/ace/">audio examples</a> ]</p></li>
<li><h2 id="reface-adversarial-transformation-networks-for-real-time-attacks-on-face-recognition-systems">ReFace: Adversarial Transformation Networks for Real-time Attacks on Face Recognition Systems</h2>
<p><strong>Shehzeen Hussain</strong>, Todd Huster, Chris Mesterharm, Paarth Neekhara, Farinaz Koushanfar<br />
IEEE International Conference on Dependable Systems and Networks <a href="https://dsn2023.dei.uc.pt/">(DSN)</a> 2023<br />
[ <a href="https://ieeexplore.ieee.org/abstract/document/10202615">paper</a> ]</p></li>
<li><h2 id="faststamp-accelerating-neural-steganography-and-digital-watermarking-of-images-on-fpgas">FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs</h2>
<p><strong>Shehzeen Hussain</strong>, Nojan Sheybani, Paarth Neekhara, Xinqiao Zhang, Javier Duarte, Farinaz Koushanfar<br />
International Conference On Computer Aided Design <a href="https://iccad.com/">(ICCAD)</a> 2022<br />
[ <a href="https://dl.acm.org/doi/abs/10.1145/3508352.3549357">paper</a> ]</p></li>
<li><h2 id="multi-task-voice-activated-framework-using-self-supervised-learning">Multi-task Voice Activated Framework using Self-supervised Learning</h2>
<p><strong>Shehzeen Hussain</strong>, Van Nguyen, Shuhua Zhang, Erik Visser<br />
IEEE International Conference on Acoustics, Speech and Signal Processing <a href="https://2022.ieeeicassp.org/">(ICASSP)</a> 2022<br />
[ <a href="https://ieeexplore.ieee.org/document/9746409">paper</a> ]</p></li>
<li><h2 id="cross-modal-adversarial-reprogramming">Cross-modal Adversarial Reprogramming</h2>
<p>Paarth Neekhara*, <strong>Shehzeen Hussain*</strong>, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian McAuley<br />
IEEE Winter Conference on Applications in Computer Vision <a href="https://wacv2022.thecvf.com/">(WACV)</a> 2022<br />
[ * Equal Contribution ]<br />
[ <a href="https://openaccess.thecvf.com/content/WACV2022/html/Neekhara_Cross-Modal_Adversarial_Reprogramming_WACV_2022_paper.html">paper</a> ]</p></li>
<li><h2 id="expressive-neural-voice-cloning">Expressive Neural Voice Cloning</h2>
<p>Paarth Neekhara*, <strong>Shehzeen Hussain*</strong>, Shlomo Dubnov, Farinaz Koushanfar, Julian McAuley<br />
Asian Conference on Machine Learning <a href="http://www.acml-conf.org/2021/">(ACML)</a> 2021<br />
[ * Equal Contribution ]<br />
[ <a href="https://proceedings.mlr.press/v157/neekhara21a.html">paper</a>, <a href="https://expressivecloning.github.io/">audio examples</a> ]</p></li>
<li><h2 id="waveguard-understanding-and-mitigating-audio-adversarial-attacks">Waveguard: Understanding and Mitigating Audio Adversarial Attacks</h2>
<p><strong>Shehzeen Hussain*</strong>, Paarth Neekhara*, Shlomo Dubnov, Julian McAuley, Farinaz Koushanfar<br />
USENIX Security Symposium <a href="https://www.usenix.org/conference/usenixsecurity21">(USENIX)</a> 2021<br />
[ * Equal Contribution ]<br />
[ <a href="https://www.usenix.org/conference/usenixsecurity21/presentation/hussain">paper</a>,<a href="https://github.com/shehzeen/waveguard_defense">code</a>, <a href="https://waveguard.herokuapp.com/">audio examples</a> ]</p></li>
<li><h2 id="adversarial-deepfakes-evaluating-vulnerability-of-deepfake-detectors-to-adversarial-examples">Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples</h2>
<p><strong>Shehzeen Hussain*</strong>, Paarth Neekhara*, Malhar Jere, Farinaz Koushanfar, Julian McAuley<br />
IEEE Winter Conference on Applications in Computer Vision <a href="http://wacv2021.thecvf.com/">(WACV)</a> 2021<br />
[ * Equal Contribution ]<br />
[ <a href="https://openaccess.thecvf.com/content/WACV2021/html/Hussain_Adversarial_Deepfakes_Evaluating_Vulnerability_of_Deepfake_Detectors_to_Adversarial_Examples_WACV_2021_paper.html">paper</a>, <a href="https://adversarialdeepfakes.github.io/">video examples</a> ]</p></li>
<li><h2 id="universal-adversarial-perturbations-for-speech-recognition-systems">Universal Adversarial Perturbations for Speech Recognition Systems</h2>
<p>Paarth Neekhara*, <strong>Shehzeen Hussain*</strong>, Prakhar Pandey, Shlomo Dubnov, Julian McAuley, Farinaz Koushanfar<br />
<a href="https://interspeech2019.org/">Interspeech</a> 2019<br />
[ * Equal Contribution ]<br />
[ <a href="https://www.isca-speech.org/archive/interspeech_2019/neekhara19b_interspeech.html">paper</a>, <a href="https://universal-audio-perturbation.herokuapp.com/">audio examples</a> ]</p></li>
<li><h2 id="adversarial-reprogramming-of-text-classification-neural-networks">Adversarial Reprogramming of Text Classification Neural Networks</h2>
<p>Paarth Neekhara, <strong>Shehzeen Hussain</strong>, Shlomo Dubnov, Farinaz Koshanfar<br />
Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing 2019 <a href="https://www.emnlp-ijcnlp2019.org/">(EMNLP)</a><br />
[ <a href="https://aclanthology.org/D19-1525/">paper</a>, <a href="https://github.com/paarthneekhara/rnn_adversarial_reprogramming">code</a> ]</p></li>
<li><h2 id="fastwave-accelerating-autoregressive-convolutional-neural-networks-on-fpga">FastWave: Accelerating Autoregressive Convolutional Neural Networks on FPGA</h2>
<p><strong>Shehzeen Hussain</strong>, Mojan Javaheripi, Paarth Neekhara, Ryan Kastner, Farinaz Koushanfar<br />
International Conference On Computer Aided Design 2019 <a href="https://iccad.com/">(ICCAD)</a><br />
[ <a href="https://ieeexplore.ieee.org/document/8942122">paper</a>]</p></li>
<li><h2 id="overlay-optimization-for-1x-node-technology-and-beyond-via-rule-based-sparse-sampling">Overlay optimization for 1x node technology and beyond via rule based sparse sampling</h2>
<p>Nyan Lynn Aung, Woong Jae Chung, Lokesh Subramany, <strong>Shehzeen Hussain</strong>, Pavan Samudrala, Haiyong Gao, Xueli Hao, Yen-Jen Chen, Juan-Manuel Gomez<br />
Metrology, Inspection, and Process Control for Microlithography 2016 <a href="https://www.spiedigitallibrary.org/">SPIE</a><br />
[ <a href="https://www.spiedigitallibrary.org/conference-proceedings-of-spie/9778/97782G/Overlay-optimization-for-1x-node-technology-and-beyond-via-rule/10.1117/12.2218161.short?SSO=1">paper</a> ]</p></li>
</ul>
</div>
</div>
</div>
</section>
<section data-scroll-index="4">
<div class="process" id = "experience">
<div class="header">
<h1 class="title">Relevant Experience</h1>
</div>
<div class="process-wrapper">
<div class = "publicationlist" style="padding-top: 50px;">
<ul>
<li><h2 id="nvidia-corporation">NVIDIA Corporation</h2>
<p>July 2023 - Present<br />
<strong>Santa Clara, California</strong></p>
<p>Senior Research Scientist - Conversational AI<br />
Investigating Large Language Models for multi-lingual voice conversion and robust text-to-speech synthesis.</p></li>
<li><h2 id="nvidia-corporation-1">NVIDIA Corporation</h2>
<p>June 2022 - September 2022<br />
<strong>Santa Clara, California</strong></p>
<p>Research Intern - Deep Learning<br />
Designed deep neural networks for multi-lingual voice conversion and text-to-speech synthesis. Developed state-of-the-art zero-shot voice conversion framework with speaker-adaptive pitch and duration controllability
[ <a href="https://arxiv.org/abs/2302.08137">paper</a> ]</p></li>
<li><h2 id="qualcomm-technologies-research">Qualcomm Technologies Research</h2>
<p>June 2021 - September 2021<br />
<strong>San Diego, California</strong></p>
<p>Deep Learning R&D Intern<br />
I was a part of the Qualcomm Audio R&D team working on self-supervised learning, using Transformer+CNN architectures for effective keyword spotting and speaker verification. Our work achieved new state-of-the-art.
[ <a href="https://ieeexplore.ieee.org/document/9746409">paper</a> ]</p></li>
<li><h2 id="facebook-ai-research">Facebook AI Research</h2>
<p>June 2020 - September 2020<br />
<strong>Menlo Park, California</strong><br />
<br>
Research Intern<br />
I was a member of the Text-to-Speech Synthesis team within Applied AI Speech. I developed deep neural network models for multi-speaker and multi-style controllable speech synthesis. I also designed end-to-end pipeline for joint training of speaker encoder model with text-to-speech synthesis (Tacotron2) model. Additionally, I developed a voice cloning toolkit for synthesizing speech of unseen speakers from a few reference audio samples.</p></li>
<li><h2 id="intel-corporation">Intel Corporation</h2>
<p>July 2019 - October 2019<br />
<strong>Santa Clara, California</strong><br />
<br>
Graduate Machine Learning Intern<br />
I was a part of the Non-Volatile Memory Systems Group, working on reinforcement learning for memory and SSD applications.</p></li>
<li><h2 id="qualcomm-technologies-research-1">Qualcomm Technologies Research</h2>
<p>June 2018 - September 2018<br />
<strong>San Diego, California</strong></p>
<p>Deep Learning R&D Intern<br />
I was a part of Qualcomm Research optimizing power and performance management on Qualcomm chipsets using reinforcement learning with deep neural networks. I was advised by Shankar Sadasivam, Manu Rastogi, Guillaume Sautière and Rajeev Jain.</p></li>
<li><h2 id="globalfoundries">GlobalFoundries</h2>
<p>July 2015 - August 2017<br />
<strong>Malta, New York</strong></p>
<p>Process Engineer<br />
Among other responsibilities, I was a member of the applications team and assisted in design of algorithms to model advanced wafer level corrections.<br />
[ <a href="https://www.spiedigitallibrary.org/conference-proceedings-of-spie/9778/97782G/Overlay-optimization-for-1x-node-technology-and-beyond-via-rule/10.1117/12.2218161.short?SSO=1">paper</a> ]</p></li>
</ul>
</div>
</div>
</div>
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