Ravishekar Kannan Email and Phone Number
Ravishekar Kannan work email
- Valid
- Valid
Ravishekar Kannan personal email
- Valid
- Valid
Ravishekar Kannan phone numbers
An IITian, Computational Scientist and a CFD Engineer with decades of research experience, software development & deployment, with a passion for solving real life problems. Out of the box thinking and problem solving abilities demonstrated by peer-reviewed international publications, citations from 31 countries, 200+ times invited reviews for research manuscripts/grants, 20+ times aiding investors (predict drug approval chances using modeling), and multiple research grants from the government/private companies. Extensive cross disciplinary research skills like from CFD to HPC, CFD to Computational Drug Delivery (CDD), and CFD to computational hypersonics.CDD: I have developed multiscale models of drug delivery and absorption (using CFD, compartmental modelling and my Quasi-3D:Q3D schemes), while collaborating with the FDA/NIH. I have jointly published these with the FDA; my models are used in FDA, NIH, Phillip-Morris, Merck. I have provided simulation support to (a) generic companies (e.g. Lupin, Amneal), for their ANDA applications (guided them in attaining bioequivalence for their test anti-asthmatic drugs) & (b) large pharma (e.g. Merck) for their new drugs. Let me know if you need similar help: for orally inhaled drugs and orally delivered drugs. I have represented generic pharma during the FDA telecons, to further their regulatory approval process using modeling schemes.CFD: I have developed several algorithms in the areas of high order methods (spectral volume/difference methods, DG methods) , parallelization (MPI, OpenMP, multicore based parallelization), and Fluid Structure interaction. In addition, I have developed and implemented mesh adaptation/generation algorithms (OctTree, Unstructured meshes), various solvers (implicit methods, p/h multigrid methods, density/pressure based solvers for second order finite volume methods), overset methods, hypersonic heating correlation methods (Zoby's method, MEIT method, x-based method, fin heating), optimization, reduced order and surrogate models.
Self-Employed
View-
Private Consultant: For Computational Drug Delivery (Inhalation, Oral And Rectal And Anal Deliveries)Self-EmployedHuntsville, Al, Us
-
Aeronautical Engineer 5Kratos Defense & Rocket Support Services Inc Aug 2022 - PresentDeveloping variable fidelity algorithms for hypersonic aeroheating• Developed a 21st century equivalent of the ATAC suite for hypersonic heating and ablation (analytical integration along the streamlines).• Developed an aero optics module to obtain the different wavefront errors for hypersonic flows.• Developed a module for computing the heating on the fins for hypersonic flows.• Developed a high order Spectral Volume (SV) Stack solver to replace the 2nd order stack models in the Aerotherm Charring Material Thermal Response and Ablation (CMA) suite. Demonstrated a speedup of ~5X using my high order stack model compared to 2nd order CMA nodelet models for real life hypersonic ablation problems. Advanced VTK-Based Post-Processing Suite Development• Innovative Development: Spearheaded the creation of a cutting-edge cross-platform VTK-based post-processing suite, designed to seamlessly read and integrate CFD solutions from leading suites, including Plot3D, Kestrel-Ensight, and Fun3D.• Data Extraction Expertise: Engineered sophisticated algorithms to extract critical data from specified zones, optimizing the workflow for aerooptics analysis and enhancing data accuracy and reliability.• Interoperability & Efficiency: Achieved significant improvements in data interoperability and streamlined processes, resulting in faster and more efficient aerooptics suite operations.
-
Private Consultant: For Computational Drug Delivery (Inhalation, Oral And Rectal/Anal Deliveries)Self-Employed Jan 2020 - PresentAiding CROs, generic companies (with their ANDA applications), investors (predict drug approval chances using modeling), Universities & Large-Pharma using my multiscale, physiologically and anatomically consistent (unlike 0D compartmental models like GastroPlus, Simcyp or SimulationsPlus) Q3D-based Computational Drug Delivery models. I have saved ~1B$ for a large pharma company: Using my multiscale toxicity analyses, the new drug was found to be exhibit regional toxicity! 1. Inhalation delivery: a. Predicting the bioequivalence of orally inhaled test drugs, against their REFERENCE counterparts (e.g. anti-asthmatic TEST drugs to match REFERENCE drugs like ADVAIR, DULERA, QVAR, etc.). b. Providing (i) visualizable, spatially-resolved deposition and associated metrics (regional depositions, C:P ratios, mouth depositions, exhaled ratios). These are essential to proving bioequivalence of test drugs (ANDA applications) c. Possess a variety of complete 24 generations of spatially resolved models : several male, female, pediatric and geriatric models, different diseased models with varying levels of disease progression (asthma, COPD) . d. A full inhalation framework with integrated detailed models of “device to dose to deposition to clearance to pharmacokinetic”. Provide the final PK metrics (+ Cmax, AUC, Tmax) for the parent & metabolites. 2. Oral delivery:a. Have modelled variations from (i) clearance rates in the population, (ii) chewing rates, (iii) food-effects (including food-composition), (iv) formulations (IR, CR, solutions, MR).b. Have predicted Regional Toxicity (max and average) in the different Gastro Intestinal segments. 3. Provide tailor-made solutions, writing reports as part of FDA submission, knows potential original/ANDA submission issues/follow-up-questions and provide proactive guidance through M&S. 4. Reasonable charge rates, and extremely rapid project turn-over time-frame. 5. Continuous guidance to address FDA queries.
-
Cfd EngineerFlexcompute Apr 2022 - Jun 2022Boston, Massachusetts, Us• Developed a massively parallel post-processing module that linked the in-house Flow360 code to the external aeroacoustics code WopWop• Validated the XV-15 rotor (80M DOF) acoustic fluctuations using my module. -
Senior Principal ScientistCfd Research Corporation Jul 2019 - Apr 2022Huntsville, Al, UsPI /Co-PI of government and private research projects on CFD and Computational Drug Delivery : (i) LEAD: Development of multiscale computational tools to simulate the PK of orally-administered drugs in the human GI tract : using my MAT suite (NIH)(ii) LEAD : Modelling the biological effects of directed energy using multiscale/multiphysics tools (DoD) : (I was responsible for implementing the different forms of Radiation Transport equation on the AirForce suite (Diffusion Approximation for Laser transport, Maxwell equations for RF waves)(iii) Co-Investigator : Computational PK and PD effects of pulmonary hypertension (PAH), for Merck drugs. (iv) Co-investigator: For surrogate modelling: (a) For guided weapon design, (b) For fast running Multiphysics and Surrogate models for analyzing Directed Energy (DE) Bioeffects(v) LEAD : Modelling the performance of Dry Powder Inhalers (Merck)(vi) Co-Investigator: Using my Q3D models, to predict the deposition and the subsequent PK of reference and test (generic) anti-asthmatic drugs. Funded by multiple generic companies (for e.g. Lupin, Amneal), and used by them in their ANDA application.(vii) Co-Investigator: Using my Q3D models for pediatric asthma modelling (NIH)(vii) LEAD: Developing Multiscale Toolkits for Predicting Clinical Pharmacological Response of Antibody Therapeutics (NIH) -
Principal ScientistCfd Research Corporation Dec 2014 - Jul 2019Huntsville, Al, UsPI /Co-PI of government and private research projects on Computational Drug Delivery : (i) LEAD: Computational prediction of the asthma drug deposition and absorption to the blood stream in the human lungs (FDA), (ii) LEAD: Optimizing the transport, deposition and absorption into the blood stream of the RSV vaccine in the human and monkey nasal tract (MERCK), (iii) LEAD: Development of Quasi-3D models for simulating air flow in the human lungs (NIH), (iv) Lung personalization and Quasi-3D model development for simulating cigarette smoke transport in humans (Phillip Morris International)(v) LEAD: Development of multiscale computational tools to simulate the PK of orally-administered drugs in the human GI tract (NIH)
-
Senior ScientistCfd Research Corporation Dec 2011 - Dec 2014Huntsville, Al, UsPI/Co-PI of several government and private research projects on(i) HPC/parallelization and particle transport on areas like architecture based mesh partitioning (KHL algorithm, mRCM algorithm) for CFD/FEM/FSI problems, (ii) optimal communication strategies for CFD, FEM simulations involving multicore processors, (iii) high fidelity particle transport formulations on dirty geometries to simulate dust inhalation during human breathing and design of DPI inhalers. (iv) LEAD for parallelization and HPC efforts for CFDRC's CoBi simulation suite(v) Co-Investigator. Overset and Cartesian mesh and solver generation for areas of close proximity. By using my adaptive Cartesian grid technology, I was able to temporally remove the body fitted grids around the surface meshes, and use region-adapted Cartesian grid. As the two surfaces separate far, the user can switch to the original body-fitted grid and overset grid
-
Research EngineerCfd Research Corporation May 2008 - Dec 2011Huntsville, Al, UsInvestigator in many research projects, sponsored by government and industry on (i) development of an unstructured Chimera, parallelization, (ii) High Performance Computing. (iii) Bio-computational tomography for prediction and quantification of blast injuries (hemorrhage) on organs like lung and the brain. (iv) Developed a whole body multi-scale multi-compartmental model of a human and rat comprising of hemodynamics and respiration
Ravishekar Kannan Skills
Ravishekar Kannan Education Details
-
Indian Institute Of Technology, MadrasAerospace Engineering -
Iowa State UniversityAerospace Engineering
-
Michigan State UniversityMechnical Engineering
-
Indian Institute Of Technology, MadrasAerospace Engineering
Frequently Asked Questions about Ravishekar Kannan
What company does Ravishekar Kannan work for?
Ravishekar Kannan works for Self-Employed
What is Ravishekar Kannan's role at the current company?
Ravishekar Kannan's current role is Private Consultant: for Computational drug Delivery (inhalation, oral and rectal and anal deliveries).
What is Ravishekar Kannan's email address?
Ravishekar Kannan's email address is su****@****ail.com
What is Ravishekar Kannan's direct phone number?
Ravishekar Kannan's direct phone number is +125672*****
What schools did Ravishekar Kannan attend?
Ravishekar Kannan attended Indian Institute Of Technology, Madras, Iowa State University, Michigan State University, Indian Institute Of Technology, Madras.
What are some of Ravishekar Kannan's interests?
Ravishekar Kannan has interest in Higher Order Methods, Fluid Structure Interaction (Fsi), Elastohydrodynamics, High Speed Flows, Computational Drug Delivery, Modelling Of Semiconductor Devices, Education, Heat Transfer, Environment, Compressible Flows.
What skills is Ravishekar Kannan known for?
Ravishekar Kannan has skills like Cfd, Heat Transfer, Finite Element Analysis, Simulations, Turbulence, Matlab, Fluid Dynamics, Fortran, Numerical Analysis, Modeling, Optimization, Fluid Mechanics.
Free Chrome Extension
Find emails, phones & company data instantly
Aero Online
Your AI prospecting assistant
Select data to include:
0 records × $0.02 per record
Download 750 million emails and 100 million phone numbers
Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.
Start your free trial