Aniirudh Ramesh Email & Phone Number

Remote, US

Agentic AI-based digital twin simulations for homeland security applications. Backed by The University of Chicago AI accelerator Transform (Cohort 4) and supported by SENTRY (a Dept. Homeland Security Center of Excellence).

SENTRY is one of 9 Dept. of Homeland Security Centers of Excellence, specializing in multi-layered solutions for public safety and soft targets protection.

Knoxville, TN, US

• My PhD research addresses three open research problems:1. How do we design Graph Optimization Algorithms, while simultaneously optimizing risk and guaranteeing performance?2. What is the effect of the Graph Structure.
• Conducting research on Sequential Decision Problems under uncertainty in Networked Dynamical Systems. Leveraging Mathematical models and Computational tools for the Optimization/Control of Influence and Information.
• Conducted human experiments to study Cooperative Decision making under imperfect information with the Distributed Graph Coloring Game. Analyzed the cost of decentralization and the effect of influencers on the.
• Work led to winning a competitive grant from SENTRY - a DHS Centre of Excellence to productize our IP.

Knoxville, TN, US

• Preparation for PhD - Literature Survey, Research on Pursuit-Evasion Games, Weekly meeting with advisor, Writing Reports, Revising advanced coursework, Improving skillsets

Knoxville, TN, US

• Completed Bachelor's Thesis at the Complex Systems Monitoring, Optimization, and Stability (COSMOS) Lab under the guidance of Dr. Subhadeep Chakraborty. Work led to securing a PhD offer, and received the highest.

New York, NY, US

Part of an exceptional cohort consisting of 14 PhD founders from MIT, Stanford, Berkeley, Columbia, Duke, UCLA, Northwestern, participating in a weekends & nights program that helps PhDs spin off their research into scalable deep tech companies. Taught by industry giants, this program has helped graduates raise venture capital, navigate grants, get into.

Midland, Michigan, US

Worked on a Machine Learning platform to accelerate a high throughput experimentation workflow as part of the highly selective ADISE program (Advanced Digital Internship for Scientists and Engineers). Gave a lightning talk about my PhD research to VPs and senior executives at an invite-only symposium. Presented work to global R&D FAMS audience to conclude..

Tanjore, Tamilnadu, IN

• Worked with Dr. Anjan Kumar Dash on designing and Developing a low-cost exoskeleton apparatus to assist people with lower limb motor disabilities to have independent movement without the need for a caretaker.
• Collaborated to build the first version using Aluminum along with load sensors, HX711 and controlled with Arduino. FEA and Gait analysis were conducted to tune the apparatus.
• Work published in the 2020 Congress on Intelligent Systems Conference, where it won the best paper award
• This work was the foundation for an eventual finished product that was later developed by a succeeding team - "A mobile device for Hemiplegic Patients" which won a patent from the Govt. of India in March 2024.

Tanjore, Tamilnadu, IN

• Worked with Dr. Ramkumar Kannan, where I implemented Reinforcement learning algorithms for the autonomous navigation of mobile robots. Simulations in unknown and uncertain environments were performed on V-REP software.

Tanjore, Tamilnadu, IN

• Worked with Dr. Raja Purushothaman. Built a mechanical platform for the acquisition of crop data and images, which were used to build a database of crop images.
• Developed machine learning models using this database for disease classification and prediction in new agricultural crops.
• Co-authored 3 papers, which have 400+ citations among them.

Guwahati, Assam, IN

• Worked at the Robotics Lab with Dr. Surajit Panja, and a PhD student on developing Multiagent Consensus algorithms using Reinforcement Learning.
• Expanded my theoretical and algorithmic knowledge in graph theory, multiagent consensus dynamics, optimal control, and RL algorithms.
• Simulations of the algorithm were performed using MATLAB and the results were presented.

Allahabad, Uttarpradesh, IN

• Worked at the Computer Vision and Biometrics Laboratory with Dr Satish Kumar Singh and a PhD student on developing Computer Vision algorithms for Whole Slide Imaging.
• Implemented a Mask R-CNN based deep learning model that was trained with images of cancer cells and subsequently used it for early-stage breast cancer detection, grading, segmentation and classification.
• Assisted a PhD scholar in writing a review paper.

Ph.D., Systems & Controls Engineering (Double Minors In Statistics & Computational Science)

B.Tech, Mechatronics Engineering (Concentration In Robotics & Controls)

High School Diploma, Science And Engineering