I'm a first year Computer Science PhD student at the University of Michigan, Ann Arbor and will be working under the guidance of Prof. Reetuparna Das. I'm primarily working in the computer architecture area.
I have worked on Secure Systems (Acceleration using Assisted Parallelism), Runtime Verification (Design and Development of Runtime monitor processors) and Computer Architecture (Extending the Tejas architectural simulator with power (McPAT) and temperature (Hotspot) modeling capabilities, Hardware Prefetching and Branch Prediction Techniques) during the course of my undergraduation at Indian Institute of Technology (IIT) under the guidance of Prof. Rajshekar K
I have also worked as a research intern at Polytechnic University of Catalonia (UPC), Hong Kong University of Science and Technology (HKUST), Arizona State University(ASU), Tata Consultancy services (TCS) Banglore , IIT Dharwad, IIT Ropar in the domains of GPU architectures for Graphics, hardware implementation of a prefetcher architecture, ML in EDA, TinyML, Task Scheduling algorithms, and Cache Replacement and Partitioning Policies. My journey as a researcher reflects a dynamic blend of theoretical knowledge, hands-on experimentation, and collaborative spirit. My passion continues to drive my pursuit of innovative solutions and breakthroughs in these domains.
Project Collaboration Opportunity
I'm currently working on a project focused on Stock Price Prediction using Machine Learning models. I'm passionate about pushing the boundaries of this field and exploring new avenues for advancement. That's why I'm actively seeking collaborations with other students and faculty members who share a similar interest in extending the scope of research in this domain. If you're intrigued by my work and have ideas to contribute or if you simply want to connect and discuss potential collaborations, feel free to drop me a message or email me at akashpt@umich.edu or akashpoptani17@gmail.com . Link to the Recent Papers: here and here.
NEWS:
Aug 12 2024: Joined University of Michigan as a PhD student under the guidance of Prof. Reetuparna Das
Apr 02 2024: Third Author Paper titled "LCM: LLM-focused Hybrid SPM-cache Architecture with Cache Management for Multi-Core AI Accelerators" was accepted at ACM International Conference on Supercomputing (ICS'24).
Apr 02 2024: Third Author Paper titled "CASH: Criticality-Aware Split Hybrid L1 Data Cache" was accepted at ACM Great Lakes Symposium on VLSI (GLSVLSI'24).
Feb 11 2024: Single Author Paper titled "Enhancing Intraday Trading through Machine Learning: A NSE Nifty 50 Analysis" was accepted at International Conference on Innovative Trends in Information Technology (ICITIIT) 2024. I presented this work on 17th March 2024.
Feb 02 2024: Single Author Paper titled "Precision Balancing: Machine Learning Models and Selective Strategies for Intraday Trading Success" was accepted at International Conference on Innovative Practices in Technology and Management (ICIPTM), 2024. I presented this work on 22nd Februray 2024.
Jan 01 2024: Awarded Best Student Presenter along with another Collegemate Sayali Lokhande, for the paper presented at AGERS, 2023.
Dec 20 2023: First Author Paper titled "Decoding Drought: Embracing Simplicity in Effective Predictive Models" was accepted at IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS), 2023. This work is presented by us on 20th December 2023.
Jan 10 2023: First Author Paper titled "SANNA: Secure Acceleration of Neural Network Applications" was accepted at International Conference on VLSI Design (VLSID,23). This work was presented by me on 10th January 2023.
Look at the Projects and Publications Section for more details.