Work Experience

• Scientist, Data4Life Asia, Singapore | Sep 2024 – Present
  
  • Network studies empower data-driven decision-making in healthcare research. However, conducting these studies often requires writing complex code - a task many clinical researchers may not be equipped to handle. Domain-specific agentic AI systems can bridge this gap by providing intelligent, accurate, and highly customized code suggestions based on natural language instructions, enabling clinical researchers to focus on insights rather than implementation.
  • Integrating LLMs for mapping non-standard, noisy datasets to standard OMOP CDM datasets. Currently, this process is manual and cosumes a lot of time. Using language models can save upto 40% of time.
• Research Scientist, Bosch Research, Singapore | Dec 2021 - Sep 2024
  
  • Automated Disassembly for End-of-Life Products: Designed and implemented AI systems to automatically analyze the state-of-health of components, including defect detection, classification, and severity estimation. This analysis enables accurate estimation of the component’s residual value for recycling.
    This work led to 8 internal invention reports, 6 of which were converted into international patent applications.
  • AI-based Prediction of End-of-Life for Vehicle Air Filters: Developed machine learning algorithms to predict the remaining useful life of air filters in vehicles using optical sensor data.


• Founder-in-Residence, Entrepreneur First Singapore | Feb 2021 – Dec 2021
  
  
• Member of Technical Staff, Mojo Networks, India | Jun 2014 – July 2015
  
  
• Research Intern, Xerox Research Center, India Dec 2013 – May 2014
  
  
• Research Intern, IBM Research Lab, India May 2013 – Aug 2013
  

International Patents

1. Amit S, Archan M, Vengateswaran S, Youngki L. System for object identification and content quantity estimation through use of thermal and visible spectrum images. [Link]
2. Tridib M, Amit K, Deepthi C, Koustuv D, Anirban M. Methods and systems for transmitting information generated for events. [Link]
3. Amit S, Sidharta A, Trung C. System and method for object identification [Link]
4. Amit S, Sidharta A. Wear & tear Framework: An AI-based framework to analyze defects in used products.
5. Amit S, Trung C, Jin Han. System and method for augmenting data to estimate a state of a product [Link]
6. Amit S, Bruce L, Kevin O. System and method for estimating a state-of-health value of a product for a disassembly process. [Link]
7. Amit S, Toan M, Vinh P. Method and system for generating datasets for training a DNN. [Link]

Peer-Reviewed Publications

1. Amit Sharma, Vithurson Subasharan, Manoj Gulati, Dhanuja Wanniarachchi, and Archan Misra. 2025. CollabCam: Collaborative Inference and Mixed-Resolution Imaging for Energy-Efficient Pervasive Vision. ACM Trans. Internet Things (May 2025). [pdf]
2. Amit Sharma, Archan Misra, Vengateswaran Subramaniam, and Youngki Lee. 2019. SmrtFridge: IoT-based, user interaction-driven food item & quantity sensing. In Proceedings of the 17th Conference on Embedded Networked Sensor Systems (SenSys ’19). ACM, New York, NY, USA, 245-257 [core A* | acceptance rate 18%] [pdf] [video]
3. Amit Sharma and Youngki Lee. 2017. AudioSense: sound-based shopper behavior analysis system. In Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers (UbiComp ’17). ACM, Maui, Hawaii. [pdf]
4. Amit Sharma and Youngki Lee. 2016. Demo: Sound Localization using Smartphone. In Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion (MobiSys ’16 Companion). Association for Computing Machinery, Singapore, 119. [pdf]
5. Yadav Kuldeep, Kumar Amit, Naik Vinayak, “Characterizing mobility patterns of people in developing countries using their mobile phone data,“ Communication Systems and Networks (IEEE COMSNETS), 2014 Sixth International Conference. [pdf]
6. Tridib Mukherjee, Amit Kumar et al “Benchmark based Performance Characterization and Scalable Design of Sensing-as-a-Service Platform” poster in ACM/USENIX MIDDLEWARE 2014 [pdf]
7. Tridib Mukherjee, Amit Kumar et al “Benchmark based Performance Characterization and Scalable Design of Sensing-as-a-Service Platform” in ACM SAC 2014 Mobile Computing and Applications track. [pdf]
8. Tridib Mukherjee, Amit Kumar et al, “CityZen: A Cost-Effective City Management System with Incentive-driven Resident Engagement”, IEEE Mobile Data Management (MDM) 2014 15th International conference [pdf]
9. Vigneshwaran S, Amit Kumar, Vinayak Naik, Dipanjan Chakraborty, Archan Misra et al “ConferenceSense: monitoring of public events using phone sensors” in UbiComp ’13 Adjunct [pdf]
10. Kuldeep Y, Amit K, Vinayak N et al “A tale of people’s movement patterns in developing countries”, Poster at Third International Conference on the Analysis of Mobile Phone Datasets (NetMob 2013) at MIT. [pdf]

Teaching Experience

• Graduate Instructor, SMU | Aug 2019 – Dec 2019
  Research Topics in Information Systems (ART)
• Research Assistant, SMU | Sep 2020 – Dec 2020
  Living Analytics Research Center (LARC)
• Teaching Assistant, SMU
  • Jan 2017 – Apr 2017: Computational Thinking (IS-1702)
  • Aug 2017 – Dec 2017: Interaction Design & Prototyping (IS-306)
• Teaching Assistant, IIIT Delhi
  • Aug 2012 – Dec 2012: System Management (CS 131)
  • Jan 2013 – May 2013: Computer Organization (CS 121)
  • Aug 2013 – Dec 2013: Operating Systems (CS 231)