We are excited to welcome Dr Aditya Joshi and Dr Hammond Pearce to the School of Computer Science and Engineering.

Dr Joshi received his PhD from the Indian Institute of Technology in Bombay, India and Monash University, Australia in 2018. Prior to joining UNSW, he was a data scientist at SEEK in the AI Platform & Services team where he worked on generation of multilingual explanations for candidate shortlisting in online recruitment marketplaces.

His postdoc project at CSIRO Data61 was on social media-based epidemic intelligence, and done in collaboration with the Kirby Institute at UNSW. He has also worked at startups in Australia (Notiv acquired by Dubber) and India (Cuddle incubated at Fractal Analytics).

“Despite my roles in these diverse sectors, my work has always involved NLP-related innovation and deployment. I hope to bring this intersectoral perspective to my current role at UNSW,” says Dr Joshi.

Dr Joshi’s research interested lie in the broad area of sentiment analysis. Sentiment analysis encompasses several sub-areas such as hate speech detection and sarcasm detection and can be effectively applied to interdisciplinary areas like epidemic intelligence and responsible AI.

Dr Joshi’s publications are in conferences such as ACL, EMNLP, COLING, and CONLL, and in journals such as ACM Computing Surveys and PLOS One. He has been acknowledged as an outstanding reviewer at ICML, ACL and EACL. He also has presented tutorials at EMNLP, AACL, ALTA and ICON. In 2018, he presented a TEDx talk entitled 'Detecting sarcasm, combating hate', which interleaved his PhD thesis with his personal journey.

Dr Pearce joins UNSW from NYU where he worked in the NYU Department of Electrical and Computer Engineering / NYU Center for Cybersecurity as a Research Assistant Professor.

His research interests lie in cybersecurity and hardware and embedded systems design, as well as the intersection of AI and industrial informatics in this area. In particular, Dr Pearce is passionate about exploring the future of the design process in the hardware and firmware spaces, which involves the investigation of tools like ChatGPT and other Large Language Models and how they impact the development lifecycle.

As part of his research work, he recently won the inaugural Efabless AI Generated Open-Source Silicon Design Challenge. He also previously won the Distinguished Paper Award at IEEE Symposium on Security and Privacy in 2022. He has 25+ publications in top venues.

Previously, Dr Pearce has worked at NASA Ames on a research internship on the SUPERBall tensegrity robot. He also worked as a contractor on Li-ion battery management and as a full-stack web developer. He obtained his Ph.D. in 2020 from the University of Auckland, New Zealand, with his thesis “Model Driven Engineering for Safety and Security in Industry 4.0”.