Rakesh Podder - Researcher in Cybersecurity, AI & ML

About Me

I have received the B.Tech. degree in Electrical Engineering from the Indian Institute of Technology (IIT), Patna, India, in 2017, and the M.E. degree in Control System and Robotics from Jadavpur University (JU), Kolkata, India, in 2020. I am currently pursuing the Ph.D. degree in Computer Science at Colorado State University (CSU), Fort Collins, CO, USA. My research interests include cybersecurity, firmware security, AI planning, and machine learning. I have contributed to the development of secure frameworks like the Hardware Root of Trust (HRoT) and has actively participated in projects such as Microsoft Project Cerberus. I have published in various international conferences and journals, and he received the Best Paper Awards at the IEEE QRS 2024 and IEEE TPS 2024 Conference. I am also a member of IEEE.

Achievements

Best Paper Award - IEEE TPS 2024

Awarded the ''Best Paper Award'' at the IEEE TPS 2024 conference for my research on Resiliency Graphs: Modelling the Interplay between Cyber Attacks and System Failures through AI Planning. Paper Link

Best Paper Award - IEEE QRS 2024

Awarded the ''Best Paper Award'' at the IEEE QRS 2024 conference for my research on ''The PIT-Cerberus Framework: Preventing Device Tampering During Transit'''. Paper Link

Protection in Transit (PIT) Open-sourced

Open-sourced "pit" libraries to Microsoft Project Cerberus, becoming a key contributor among 20+ contributors.

Job Experiences

Foreign Research Scientist

National Institute of Standard Technology (2024 - Present)

Using Bugs Framework (BF) to identify causal classification of security bugs and related faults, featuring a formal language for unambiguous specification of security weaknesses. Creating a BF CVE labeled dataset (for more than 100+ CVEs \& 200+ CWEs) to formally structure the vulnerabilities..

Graduate Research Assistant

Colorado State University (2022 - Present)

AMI US Holdings Inc. (2022 - Present)

Working on firmware security, AI planning, and machine learning for cybersecurity applications. Contributing to projects like Microsoft Project Cerberus and Hardware Root of Trust (HRoT).

System Engineer

Infosys Ltd. (2020 - 2022)

Transformed data between formats (30+ mapping tree) using IBM WebSphere, led team to optimize data handling efficiencies. Delivered more than 100 client requests of customised maps for various data formats.

Programmer Analyst

Cognizant (2017 - 2020)

Worked as a Quality Assurance Engineer, specialized in Selenium with Java to perform automation test planning and, managing the quality assurance program in the organization..