Technologies: C++, Python, VTK, OpenCascade, Linux
Projects We Offer
Research-Oriented Analysis Projects:
We provide valuable insights through simulations based on specific project objectives defined by you
Design Validation & Testing Projects:
We provide simulation analysis reports on whether a design passes your specific parameters
Our Team
Dr. Jaydeep Deshpande
Researcher | Entrepreneur | Winner of Prime Minister's Fellowship for Doctoral Research (2013) | Reaction engineering | FEM/CFD | Nanotechnology | Applied Math | Fluid mechanics | Flow Chemistry | Teaching | Sustainability
Recommendations for Dr. Jaydeep Deshpande
"It was a great experience working with Jaydeep during our coursework in 2012 at NCL. We spent almost a year together in the Engineering Science Scholar cabins(front of SSB lecture hall. Jaydeep consistently showed self-motivation and passion topics of Numerical Methods and Computational Fluid Dynamics (CFD). I still remember how, from the very first day of our coursework, he set his sights on a project about multiphase microfluidics, focusing on dynamic interface boundaries of bubble. He was also a dedicated collaborator, particularly in Fluid Mechanics and Flow Chemistry. His interdisciplinary work was remarkable, as seen in his synthesis of silver nanoparticles—spanning experiments, theory, simulations in CFD, and even molecular-level studies through collaborations. Jaydeep is an excellent teacher, thinker, and researcher in CFD and numerical programming for UG, PG and Advanced level engineering students. His deep understanding of the subject and his ability to explain complex concepts in a clear and engaging way make him a fantastic choice for this role."
— Nilesh Choudhary | Assistant Professor – IIT Tirupati
"Dr Jaydeep…. a hard core scientist who puts his knowledge to the best advantages of the clients. His expertise has been of immense use to Niranjan Biotech while creating a product that never existed in the market. His constant endeavour for putting the clients first approach helped Niranjan Biotech to commercialise the product we had in mind…"
— Shailesh Deshpande | Niranjan Biotech
"Jaydeep & I were PhD students together at CSIR-NCL Pune. Despite working in different fields, we had numerous discussions and brainstorming sessions, due to which my work benefited greatly. He is very inquisitive and resourceful in his research, and has an excellent academic record to back it up. Overall, it was a pleasure working alongside him, and I would highly recommend him to any potential collaborators."
— Krishnaroop Chaudhuri | Postdoc at CU Boulder
"Jaydeep served as an industry mentor for two of my research projects, dedicating two years to training students through campus visits and sessions at his office. His genuine and attentive nature, along with his expertise, was instrumental in shaping the research methodology and ensuring the successful completion of both projects. Notably, Jaydeep was my student during his graduation and is now a trained scientist from CSIR-NCL, Pune. I highly recommend him as a scientific contributor and collaborator in the field of nanotechnology."
— Vasi Shaikh, Ph.D. | Professor | Associate Dean
"Jaydeep is a very technically sound, proactive and service oriented Entrepreneur who keeps clients interest above all. It’s been more than 5 years since I had known him and met in person few times. His speed to execute things while being honest, fair and genuine with clients has helped him win confidence trust including mine. I wish him all the best in his endeavours and all success!"
— Vivek Mishra | Founder and CEO @ Fibroheal
Shubhankar Patki
Industrial Designer | 10 years of exp. working with NURBS & parametric modelling tools | Rhino3D + Grasshopper3D | SolidWorks | Fusion360 | FEA/CFD | 3D printing | Python | Linux
Numerical experiments on Face enriched P1/P0 or Q1/Q0 FEM function space For incompressible flow, the familiar numerical tension is between velocity-pressure stability, local mass balance, robustness at high Reynolds number, and cost. A collocated finite-volume method is attractive because both the velocity and pressure unknowns…
INTRODUCTION Modern GPUs have transformed machine learning and scientific computing by enabling massive computational throughput. Computational Fluid Dynamics (CFD), however, remains one of the more demanding applications because practical engineering simulations often require solving millions of coupled equations over complex geometries. While CPUs have traditionally…
For engineers and researchers in CFD, FVM solvers like OpenFOAM are the natural reference point. They are mature, widely trusted, fast and memory efficient across a wide range of industrial flow problems. It is reasonable to ask: if such tools already exist, why spend time…