Simulations that reveal how the body responds to impact.
CAE Specialist | Researcher










Hi, I’m Kalishwar, a Computer-Aided Engineering (CAE) specialist with over 7 years of experience solving complex engineering challenges into actionable solutions using advanced simulation and data driven predictive methods. My core expertise includes Crash & Explicit Dynamics, Biomechanics as well as Structural Analysis and Optimization.
I focus on integrating simulation early in the product development cycle to help teams adopt efficient CAE workflows that streamline design, optimize processes, and deliver measurable results. With deep technical expertise and strong customer-facing experience, I deliver impactful engineering solutions and support teams in adopting them through mentoring and tailored training.
Interested in simulation, CAE workflows, or engineering collaboration? Let’s connect and exchange ideas.
“I’ve had the pleasure of working with Kalish Gunasekaran over the past three years and can confidently say he’s one of the most forward-thinking engineers I’ve come across. His expertise in simulation, FEA, and AI-driven tools is matched by a genuine passion for solving complex technical challenges. Kalish brings both depth and creativity to the table—whether he’s refining a crash model or exploring new ways to integrate AI into simulation workflows. He’s also a great communicator and team player, always willing to share knowledge and support others. Highly recommended for any role where innovation and technical excellence are key”.
“Kalish is an exceptionally talented, innovative and tenacious young engineer. He has a broad experience in FEA as it applies to many engineering problems. I am impressed by the depth and breadth of the engineering problems that Kalish has tackled during his academic work and professional career. It is a testament to his deep understanding of complex engineering problems and his ability to provide practical and reliable solutions to these problems. I am impressed by his relentless pursuit of any projects or engineering challenges that he is working on. He never lets go until the projects’ objectives are achieved. Beside his technical knowledge and expertise, he has exceptional personal qualities. He is reliable, friendly, and trustworthy. He is well rounded on the technical and personal levels”.
“I had the pleasure of hiring and managing Kalish in 2022. While much of our work together focused on high tech business activities, it was always grounded in strong technical insight. Kalish has deep expertise in LS-DYNA, Ansys, Hypermesh and optimization, and his research contributions, including published papers and conference presentations, demonstrate his advanced knowledge in simulation, design, and human body modeling. He tackles complex problems effectively and communicates solutions clearly to both engineers and clients. With this combination of technical excellence and practical skills, Kalish is a very valuable contributor to any technical team”.
“I had the pleasure of working with Kalish. He brought deep technical expertise in LS-DYNA, OptiSLang, and Ansys tools. He was proactive in leveraging AI-driven techniques to enhance simulation workflows and consistently impressed with his ability to turn complex engineering challenges into practical, effective solutions. He also delivered highly effective webinar training sessions, clearly explaining how ANSYS tools can be integrated to provide solutions aligned with customer needs. His strong communication skills and instructional clarity reflect both his deep technical knowledge and his talent for teaching”.
“During the time that I worked with Kalish I really appreciated his diligence towards the tasks that he undertook. I also would like to commend his efforts in going above and beyond the remit of his job description in his quest to learn all round about many things that were relevant to his job”.

Understanding Head Injury Risks during Car-to-Pedestrian Collisions Using Realistic Vehicle and Detailed Human Body Models – Stapp Car Crash Journal 2023

Understanding Head Injury Risks during Car-to-Pedestrian Collisions Using Realistic Vehicle and Detailed Human Body Models – Stapp Car Crash Journal 2023

Modeling small remotely piloted aircraft system to head impact for investigating craniocerebral response – Journal of Biomechanics 2021

Investigating small RPAS ground impact injury severity criteria (Phase 1) – National Research Council Canada 2022

Investigating small RPAS ground impact injury severity criteria (Phase 2) – National Research Council Canada 2024

Significance of the vehicle front design and gait postures on TBIs sustained during car-to-pedestrian collisions (CPCs) – 2021

Analysis of the National Highway Traffic Safety Administration’s 2009 Update to FMVSS 216a – University of Western Ontario 2022

Evaluating ML/DL Algorithms and Instantaneously Predict Injury Metrics Based on Head Impact Kinematics
Coming soon

Development of detailed integrated seat assembly and validation against PMHS for whiplash rear impact collision
Coming soon
Enabling Simulation-Driven Engineering | CAE Specialist | Structural Analysis & Optimization | Crash & Explicit Dynamics| Biomechanical Researcher