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Aniirudh Ramesh is listed as PhD Student at UT Knoxville | Co-founder at ASTERS (Transform Cohort 4) | Previously: Dow, Dorm Room Fund at ASTERS Inc, based in Knoxville, Tennessee, United States. AeroLeads shows a matched LinkedIn profile for Aniirudh Ramesh.
Aniirudh Ramesh previously worked as Co-Founder at Asters Inc and PhD Researcher and Student Leadership Council Member at Soft Target Engineering To Neutralize The Threat Reality. Aniirudh Ramesh holds Ph.D., Systems & Controls Engineering (Double Minors In Statistics & Computational Science) from University Of Tennessee, Knoxville.
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I'm a final-year PhD student in Mechanical Engineering at the University of Tennessee, with double minors in CS & Statistics. In my research, I use Game Theory, Controls and Decision Science to design real-time algorithms for optimizing networked dynamical systems. Previously, I was a summer R&D intern at Dow, where I worked in the Robotics team on an ML platform to accelerate a high-throughput experimentation workflow. I was also part of PhD Founder summer cohort at Dorm Room Fund, a nights-and-weekends program designed to help PhDs spin off deep tech research.I led efforts in securing funding from the Dept. of Homeland Security, and currently serve on their student leadership council. Passionate about technology commercialization, I spun off our research and co-founded ASTERS: an AI x Security startup backed by UChicago and SENTRY (a DHS COE). With my diverse background, proven track record, and core competencies, I'm confident I'm uniquely positioned to spearhead innovative solutions to some of the most pressing problems. Outside of work, I love to do pro-bono career mentorship. I also play the violin and love the great outdoors. Please feel free to reach out.
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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 on the information flow in complex networks, and how do we control this using influencers?3. Can we run Graph Optimization in real-time using a distributed edge computing architecture by leveraging Graph Neural Networks?• 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 Cascades in Cooperative Games, Social Networks, and Spatial Networks.• 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 efficiency of cooperation. • 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 - "Outstanding" grade (11 credits).
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 YC, hire teams, and build faster. Past speakers at DRF include Sam Altman, and partners from a16z, Sequoia, First Round Capital, 1517 Fund, Union Square Ventures, Bessemer Venture Partners, etc
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. References available upon request.
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.
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Aniirudh Ramesh works for ASTERS Inc.
Aniirudh Ramesh is listed as PhD Student at UT Knoxville | Co-founder at ASTERS (Transform Cohort 4) | Previously: Dow, Dorm Room Fund at ASTERS Inc.
Aniirudh Ramesh is based in Knoxville, Tennessee, United States while working with ASTERS Inc.
Aniirudh Ramesh has worked for Asters Inc, Soft Target Engineering To Neutralize The Threat Reality, University Of Tennessee, Knoxville, Dorm Room Fund, and Dow.
You can use AeroLeads to view verified contact signals for Aniirudh Ramesh at ASTERS Inc, including work email, phone, and LinkedIn data when available.
Aniirudh Ramesh holds Ph.D., Systems & Controls Engineering (Double Minors In Statistics & Computational Science) from University Of Tennessee, Knoxville.
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