Hetvi Shastri
PhD student, University of Massachusetts Amherst
hshastri [AT] umass.edu
Bio
I am a first-year Computer Science PhD student in the Manning College of Information & Computer Sciences at the University of Massachusetts Amherst. I work at LASS lab with Prof. Prashant Shenoy . Currently, I am working on secure sharing of services and resources among devices in a dynamic IoT environment. This reasearch involves topics such as distributed systems, multi-tenancy, privacy and sensing.
Prior to this, I graduated from the Indian Institute of Technology, Gandhinagar, with Btech in Electrical Engineering and a minor in Computer Science. I have worked on applied machine learning for sustainability tasks such as Non-Intrusive Load Monitoring (NILM) .
My research interests lie broadly in the areas such as Distributed Systems, IoT and Machine Learning.
News
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- August 2023: Awarded travel grant for attending ACM SIGCOMM 2023 from September 10th to 14th at New York.
- July 2023: Volunteering at UMass Turning Summer Program which is for High School students who are interested in learning about Computer Science.
- Jun 2023: GHC Scholar, scholarship offers women and non‑binary students the opportunity to attend the virtual Grace Hopper Celebration 2023
- May 2023: Awarded David W. Stemple Scholarship in Computing to provide support to a first‑year graduate student in Computer Science pursuing a Ph.D in Systems research
- May 2023: James Kurose Scholar, scholarship in Computer Science to provide support to an outstanding Computer Science graduate student
- Nov 2022: Presenting our paper on quantifying uncertainity in NILM at ACM Buildsys 2022.
- Sep 2022: Paper on quantifying uncertainity in NILM accepted at ACM Buildsys 2022 .
- Sep 2022: Started Phd at UMass Amherst computer science advised by Prof. Prashant Shenoy
- Jan 2022: Presenting our paper on Generative Adversarial Networks for fashion clothing at CODs COMAD 2022.
- Jan 2022: Started working as a Teaching Assistant for ML654 course, IITGn.
- Nov 2021: Presenting our paper on Neural network models for NILM at ACM Buildsys 2021.
- Oct 2021: Our paper on Generative Adversarial Networks for fashion clothing accepted at CODs COMAD 2022.
- Sep 2021: First paper on Neural network models for NILM accepted at ACM Buildsys 2021.
- May 2021: Started working on Non-Intrusive Load Monitoring at Sustainability Lab, IITGn advised by Prof Nipun Batra
- May 2020: Started working on ultrasound imaging at MUSE Lab, IITGn advised by Prof Himanshu Shekhar
- Jul 2018: Started Btech in Electrical Engineering at Indian Institue of Technology Gandhinagar
Publications
Most recent publications on Google Scholar.
‡ indicates equal contribution.
'I do not know' quantifying uncertainty in neural network based approaches for non-intrusive load monitoring
Hetvi Shastri‡, Vibhuti Bansal‡, Rohit Khoiwal‡, Haikoo Khandor,Nipun Batra
BuildSys 22: ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation.
Vastr-GAN: versatile apparel synthesised from text using a robust generative adversarial network
Hetvi Shastri‡, Dhruvi Lodhavia‡, Palak Purohit‡, Nipun Batra
Cods COMAD 22: International Conference on Data Science & Management of Data
Neural network approaches and dataset parser for NILM toolkit
Hetvi Shastri, Nipun Batra
BuildSys 21: ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation.
'I do not know' quantifying uncertainty in neural network based approaches for non-intrusive load monitoring
Hetvi Shastri‡, Vibhuti Bansal‡, Rohit Khoiwal‡, Haikoo Khandor,Nipun Batra
BuildSys 22: ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation.
Vastr-GAN: versatile apparel synthesised from text using a robust generative adversarial network
Hetvi Shastri‡, Dhruvi Lodhavia‡, Palak Purohit‡, Nipun Batra
Cods COMAD 22: International Conference on Data Science & Management of Data
Neural network approaches and dataset parser for NILM toolkit
Hetvi Shastri, Nipun Batra
BuildSys 21: ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation.
Vitæ
Full Resume in PDF.
Blogs
