Arsalan Mosenia

I'm currently an Adjunct Faculty at New York University (NYU), while working on state-of-the-art Recommender Systems at Google. I am an enthusiastic hands-on researcher/engineer with extensive experience in Machine Learning (ML) and Security & Privacy. My interests lie at the intersection of ML, Recommendation Systems, Information Security, and User Privacy.

Experience

Adjunct Professor [2022-Present]
Department of Electrical and Computer Engineering, New York University (NYU)
Spring 2022: Advanced Machine Learning (ECE-GY 7123/CS-GY 6953: Deep Learning)

Software Engineer [2019-Present]
Google Search and Assistant, Google Inc

ML Research Associate [2017-2019]
Princeton University

ML Research Associate [2017-2019]
Purdue University

Technical Advisor: ML for Distributed Applications [2016-2018 Part-time]
OpenFog Consortium (now combined with the IIC)

Research Assistant (PhD Candidate): ML for Security & Privacy [2012-2016]
Princeton University

ML SWE/Researcher: ML for Medical Image Processing [2010-2012]
Image Processing Lab, Tehran, Iran

Education

Ph.D., Computer Engineering (2012-2016)
Advisor: Professor Niraj K Jha, Princeton University
Dissertation: Addressing Security and Privacy Challenges in IoT [ML for Security & Privacy]

B.Sc., Computer Engineering (2008-2012)
Sharif University of Technology, Tehran

Publications   [Scholar]

  Got an award: 🎖
  Received major press coverage: 📸
  Among the journal's popular papers for 2+ years: ⭐

Books

1. Smart Healthcare [Machine Learning and Security Challenges]   
   Hongxu Yin, Ozge Akmandor, A. Mosenia, and N. K. Jha
   Free E-book 📖 Buy on Amazon

Journal Papers

1. A Comprehensive Study of Security of Internet-of-Things ⭐
   A. Mosenia and N. K. Jha
   IEEE Trans. Emerging Topics in Computing (TETC)
2. CABA: Continuous Authentication Based on BioAura 🎖 📸 ⭐
   A. Mosenia, S. Sur-Kolay, A. Raghunathan, and N. K. Jha
   IEEE Trans. Computers (TC)
3. PinMe: Tracking a Smartphone User around the World 🎖 📸
   A. Mosenia, X. Dai, P. Mittal, and N. K. Jha
   IEEE Trans. Multi-Scale Computing Systems (TMSCS)
4. Physiological Information Leakage: A New Frontier in Health Information Security   
   A. Mosenia, S. Sur-Kolay, A. Raghunathan, and N. K. Jha
   IEEE Trans. Emerging Topics in Computing (TETC)
5. An Energy-efficient System for Long-term Continuous Personal Health Monitoring 🎖
   A. Mosenia, M. Mozaffari-Kermani, S. Sur-Kolay, A. Raghunathan, and N. K. Jha
   IEEE Trans. Multi-Scale Computing Systems (TMSCS)
6. Wearable Medical Sensor-based System Design: A Survey ⭐
   A. Mosenia, S. Sur-Kolay, A. Raghunathan, and N. K. Jha
   IEEE Trans. Multi-Scale Computing Systems (TMSCS)
7. DISASTER: Dedicated Intelligent Security Attacks against Sensor-triggered Emergency Responses
   A. Mosenia, S. Sur-Kolay, A. Raghunathan, and N. K. Jha
   IEEE Trans. Multi-Scale Computing Systems (TMSCS)
8. OpSecure: A Secure Unidirectional Optical Channel for Implantable Medical Devices
   A. Mosenia and N. K. Jha
   IEEE Trans. Multi-Scale Computing Systems (TMSCS)

Conference Proceedings

1. DARTS: Deceiving Autonomous Cars with Toxic Signs 📸  
   C Sitawarin, AN Bhagoji, A Mosenia, M Chiang, P Mittal
   Code on Github
2. OpenFog Security Requirements and Approaches  
   B. A. Martin, F. Michaud, D. Banks, A. Mosenia, R. Zolfonoon, S. Irwan, S. Schrecker, and J. K. Zao
   Fog World Congress
3. Not All Pixels are Born Equal: An Analysis of Evasion Attacks under Locality Constraints  
   CV Sehwag, C Sitawarin, AN Bhagoji, A Mosenia, M Chiang, P Mittal
   ACM SIGSAC Conference on Computer and Communications
4. ProCMotive: Bringing Programmability and Connectivity into Isolated Vehicles 🎖  
   A. Mosenia, J. F. Bechara, T. Zhang, P. Mittal, and M. Chiang
   ACM Int. Joint Conf. Pervasive and Ubiquitous Computing (Ubicomp'18)
5. Artesian: Acoustic Denial of Service Attacks on HDDs 📸  
   M. Shahrad, A. Mosenia, L. Song, M. Chiang, D. Wentzlaff, and P. Mittal
   ACM Attacks and Solutions in Hardware Security
6. Rogue Signs: Deceiving Traffic Sign Recognition with Malicious Ads and Logos 📸  
   C Sitawarin, AN Bhagoji, A Mosenia, M Chiang, P Mittal
   
7. Anonymizing Masses: Practical Light-weight Anonymity at the Network Level  
   HM Moghaddam, A Mosenia
   

Teaching

• Spring 2022: ECE-GY 7123: Advanced Machine Learning (Deep Learning), NYU
• Spring 2016: ELE 464: Embedded Computing, Princeton University
• Spring 2016: COS/ELE 432: Information Security, Princeton University
• Fall 2013: COS 306/ELE 206: Contemporary Logic Design, Princeton University