Multi-Day Horizon Solar Power Forecasting
Chowdhury, M. R., Imam, T., Mamun, M. A., Sifat, A. I. & Ferdaus, F. (2026, October). "Multi-Day Horizon Solar Power Forecasting." In 2026 IEEE 58th North American Power Symposium (NAPS). IEEE.
CV
Education
- Ph.D. in Electrical and Computer Engineering, Florida International University, December 2022
- M.Sc. in Electrical and Computer Engineering, University of New Hampshire, December 2018
- B.Sc. in Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, September 2015
Work experience
- Spring 2024: Academic Pages Collaborator
- GitHub University
- Duties includes: Updates and improvements to template
- Supervisor: The Users
- Fall 2015: Research Assistant
- GitHub University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
- Summer 2015: Research Assistant
- GitHub University
- Duties included: Tagging issues
- Supervisor: Professor Git
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
Residential Net-Load Forecasting with Statistical and Learning-Based Models
Imam, T., Sifat, A. I., Chowdhury, M. R. & Ferdaus, F. (2026, October). "Residential Net-Load Forecasting with Statistical and Learning-Based Models." In 2026 IEEE 58th North American Power Symposium (NAPS). IEEE.
Evaluating Energy Efficiency of AI Accelerators Using Two MLPerf Benchmarks
Ferdaus, F., Wu, X., Taylor, V., Lan, Z., Shanmugavelu, S., Vishwanath, V., & Papka, M. E. (2025, May). "Evaluating Energy Efficiency of Ai Accelerators Using Two Mlperf Benchmarks." In 2025 IEEE 25th International Symposium on Cluster, Cloud and Internet Computing (CCGrid). (pp. 549-558). IEEE.
LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators
Chitty-Venkata, K. T., Raskar, S., Kale, B., Ferdaus, F., Tanikanti, A., Raffenetti, K., Taylor, V., Emani, V., Vishwanath, V. (2024). "LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators." In SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis. (pp. 1362-1379). IEEE.
Hiding Information for Secure and Covert Data Storage in Commercial ReRAM Chips
Ferdaus, F., Talukder, B. B., & Rahman, M. T. (2024). "Hiding Information for Secure and Covert Data Storage in Commercial ReRAM Chips." IEEE Transactions on Information Forensics and Security. 19, 3608-3619.
A Non-invasive Technique to Detect Authentic/Counterfeit SRAM Chips
Bahar Talukder, B. M. S., Ferdaus, F., & Rahman, M. T. (2023). "A Noninvasive Technique to Detect Authentic/Counterfeit SRAM Chips." ACM Journal on Emerging Technologies in Computing Systems. 19(2), 1-25.
Watermarked ReRAM: A Technique to Prevent Counterfeit Memory Chips
Ferdaus, F., Bahar Talukder, B. M. S., & Rahman, M. T. (2022, June). "Watermarked ReRAM: A technique to prevent counterfeit memory chips." In Proceedings of the Great Lakes Symposium on VLSI 2022 (pp. 21-26).
Approximate MRAM: High-Performance and Power-Efficient Computing With MRAM Chips for Error-Tolerant Applications
Ferdaus, F., Talukder, B. B., & Rahman, M. T. (2022). "Approximate MRAM: High-Performance and Power-Efficient Computing With MRAM Chips for Error-Tolerant Applications." IEEE Transactions on Computers. 72(3), 668-681.
Memory-Based PUFs are Vulnerable as Well: A Non-Invasive Attack Against SRAM PUFs
Bahar Talukder, B. M. S., Ferdaus, F., & Rahman, M. T. (2021). "Memory-Based PUFs are Vulnerable as Well: A Non-Invasive Attack Against SRAM PUFs." IEEE Transactions on Information Forensics and Security. 16, 4035-4049.
True Random Number Generation using Latency Variations of Commercial MRAM Chips
Ferdaus, F., Talukder, B. B., Sadi, M., & Rahman, M. T. (2021, April). "True Random Number Generation using Latency Variations of Commercial MRAM Chips." In 2021 22nd International Symposium on Quality Electronic Design (ISQED). (pp. 510-515). IEEE.
Security of Emerging Memory Chips
Ferdaus, F., Rahman, M.T. (2021). "Security of Emerging Memory Chips." In: Tehranipoor, M. (eds) Emerging Topics in Hardware Security. Springer, Cham.
True Random Number Generation Using Latency Variations of FRAM
Rashid, M. I., Ferdaus, F., Talukder, B. B., Henny, P., Beal, A. N., & Rahman, M. T. (2020). "True Random Number Generation Using Latency Variations of FRAM." IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 29(1), 14-23.
Use of single bin Fourier transform algorithm for high speed tone detection and parallel processing
Sakib, S. K., Ferdaus, F., & Rahman, M. S. (2016). "Use of single bin Fourier transform algorithm for high speed tone detection and parallel processing." In 2016 9th International Conference on Electrical and Computer Engineering (ICECE). (pp. 214-217). IEEE.
Talks
Conference Proceeding talk 3 on Relevant Topic in Your Field
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA
Talk 2 on Relevant Topic in Your Field
Talk at London School of Testing, London, UK
Tutorial 1 on Relevant Topic in Your Field
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA
Talk 1 on Relevant Topic in Your Field
Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA
Teaching
Service and leadership
- Currently signed in to 43 different slack teams