Hire Advanced Mathematics Designers in India

I’m a PhD in Orthopedic Biomechanics from IIT Ropar and postdoctoral research at IIT Delhi and AIIMS Delhi. My expertise combines finite element simulation, biomechanics, and artificial intelligence,... Read more

I’m a PhD in Orthopedic Biomechanics from IIT Ropar and postdoctoral research at IIT Delhi and AIIMS Delhi. My expertise combines finite element simulation, biomechanics, and artificial intelligence, applied to improve human safety, medical device performance, and product reliability. For more than a decade, I’ve built and validated complex finite element (FE) and AI-driven models across biomedical, defense, industrial, and consumer domains, from human dummy simulations under blast impact to fatigue analysis of home furniture. My work integrates LS-DYNA, Abaqus, HyperMesh, and MATLAB/Python to translate physical behavior into computational insight. Key Expertise: 1. Biomedical & Implant Design • Developed FEA models of hip, shoulder (RTSA), femoral, cranial, mandibular, and dental implants to evaluate stress, fatigue, and bone-implant interactions. • Designed a novel glenoid implant for Reverse Total Shoulder Arthroplasty (RTSA), optimized for aged bone with reduced cortical density. • Conducted FEA of Total Hip Arthroplasty (THA) and Short-Stem Total Arthroplasty (STA) to study stress shielding, load transfer, and implant stability. • Simulated stent deployment and expansion behavior, studying elastic recoil, von Mises stress, and fatigue life under pulsatile pressure. • Designed surgical plates and fixation systems for midline mandibular fractures and femoral neck repairs. • Performed CT-to-CAD reconstruction of anatomical models using 3D Slicer, Materialise 3-Matic, and SolidWorks to create accurate patient-specific implants. 2. Human Dummy & Injury Simulation • Led 6 years of FEA-based trauma analysis for cricket ball impacts on pediatric head and thorax models, predicting injury indices (HIC₁₅, Nᵢⱼ, TCC, CSI). • Conducted blast simulations using human dummies in crawling, kneeling, and seated postures to assess lumbar, neck, and thoracic injury risks. • Modeled vehicle occupants (driver and passenger) with and without seatbelts to evaluate restraint effectiveness and injury reduction mechanisms. • Validated Hybrid III dummy models against experimental crash and impact data for defense and sports safety research. 3. Industrial & Structural Mechanics • Designed and analyzed pressure vessels, rotating propellers, and heat-affected components, integrating fatigue and creep modeling. • Performed FEA on chairs and home furniture to determine maximum load capacity, fatigue life, and product safety under real-use conditions. • Applied optimization and multi-physics coupling to predict failure thresholds in composite and metallic structures. 4. AI, Machine Learning & Data Modeling • Cybersecurity: Developed GAN- and Transformer-based anomaly detection systems for attack severity classification. • Agriculture/Botany: Created Soil–Crop recommendation models using SHI and CRI indices derived from PCA and z-score normalization. • Color Vision Deficiency (CVD): Built an AI-driven framework for color blindness diagnosis, simulation, and enhancement using LAB/YCbCr features and Daltonization. • EEG Signal Analysis: Implemented entropy- and complexity-based models for psychiatric disorder classification using ELM and SVM. • Integrated FEA-generated data with ML for injury prediction, material fatigue modeling, and reliability forecasting. Tools & Skills FEA: LS-DYNA, Abaqus, ANSYS, HyperMesh, SolidWorks Simulation Modeling: Rhino, SolidWorks, 3D Slicer, Materialise 3-Matic Programming & ML: MATLAB, Python, TensorFlow, Scikit-learn Specializations: Structural & Nonlinear Dynamics, Fatigue, Superelastic Nitinol Modeling, Optimization, Neural Networks, CAD-based Reconstruction Representative Research & Publications • An Invertible Mathematical Model of Cortical Bone Adaptation — Scientific Reports, 2019 • In Silico Model for Woven Bone Adaptation Under Heavy Loading — Biomechanics & Modeling in Mechanobiology, 2022 • Modeling Cortical Bone Adaptation Using Strain Gradients — Proc. IMechE Part H, 2021 • Alternating Layers of Allograft and Injectable Ceramic Bone Graft Substitute in Acetabular Reconstruction — Arthroplasty Today, 2023 • Temperature Measuring Techniques in Metal Cutting — JJMIE, 2014 (Full list: Google Scholar Profile) Professional Summary My research and consulting work unify simulation physics and intelligent data modeling. Whether simulating stent deformation, optimizing a glenoid implant, predicting crash injuries, or classifying network intrusions, the goal remains the same — translate complexity into understanding. I bring an interdisciplinary edge: deep FEA capability, clinical biomechanics experience, machine-learning fluency, and a strong design sensibility. This combination allows me to deliver scientifically robust, industry-relevant, and innovation-ready solutions.

Army veteran, CAD designer, problem solver. From a lifetime of challenges and experiences, I possess the skills necessary to solve any problem and create any product you can imagine. Main focuses are... Read more

Army veteran, CAD designer, problem solver. From a lifetime of challenges and experiences, I possess the skills necessary to solve any problem and create any product you can imagine. Main focuses are Automotive, Defense, and Drone industries, blending mechanical, electronic, and cutting-edge tech to deliver modern solutions.

I’m a PhD in Orthopedic Biomechanics from IIT Ropar and postdoctoral research at IIT Delhi and AIIMS Delhi. My expertise combines finite element simulation, biomechanics, and artificial intelligence,... Read more

I’m a PhD in Orthopedic Biomechanics from IIT Ropar and postdoctoral research at IIT Delhi and AIIMS Delhi. My expertise combines finite element simulation, biomechanics, and artificial intelligence, applied to improve human safety, medical device performance, and product reliability. For more than a decade, I’ve built and validated complex finite element (FE) and AI-driven models across biomedical, defense, industrial, and consumer domains, from human dummy simulations under blast impact to fatigue analysis of home furniture. My work integrates LS-DYNA, Abaqus, HyperMesh, and MATLAB/Python to translate physical behavior into computational insight. Key Expertise: 1. Biomedical & Implant Design • Developed FEA models of hip, shoulder (RTSA), femoral, cranial, mandibular, and dental implants to evaluate stress, fatigue, and bone-implant interactions. • Designed a novel glenoid implant for Reverse Total Shoulder Arthroplasty (RTSA), optimized for aged bone with reduced cortical density. • Conducted FEA of Total Hip Arthroplasty (THA) and Short-Stem Total Arthroplasty (STA) to study stress shielding, load transfer, and implant stability. • Simulated stent deployment and expansion behavior, studying elastic recoil, von Mises stress, and fatigue life under pulsatile pressure. • Designed surgical plates and fixation systems for midline mandibular fractures and femoral neck repairs. • Performed CT-to-CAD reconstruction of anatomical models using 3D Slicer, Materialise 3-Matic, and SolidWorks to create accurate patient-specific implants. 2. Human Dummy & Injury Simulation • Led 6 years of FEA-based trauma analysis for cricket ball impacts on pediatric head and thorax models, predicting injury indices (HIC₁₅, Nᵢⱼ, TCC, CSI). • Conducted blast simulations using human dummies in crawling, kneeling, and seated postures to assess lumbar, neck, and thoracic injury risks. • Modeled vehicle occupants (driver and passenger) with and without seatbelts to evaluate restraint effectiveness and injury reduction mechanisms. • Validated Hybrid III dummy models against experimental crash and impact data for defense and sports safety research. 3. Industrial & Structural Mechanics • Designed and analyzed pressure vessels, rotating propellers, and heat-affected components, integrating fatigue and creep modeling. • Performed FEA on chairs and home furniture to determine maximum load capacity, fatigue life, and product safety under real-use conditions. • Applied optimization and multi-physics coupling to predict failure thresholds in composite and metallic structures. 4. AI, Machine Learning & Data Modeling • Cybersecurity: Developed GAN- and Transformer-based anomaly detection systems for attack severity classification. • Agriculture/Botany: Created Soil–Crop recommendation models using SHI and CRI indices derived from PCA and z-score normalization. • Color Vision Deficiency (CVD): Built an AI-driven framework for color blindness diagnosis, simulation, and enhancement using LAB/YCbCr features and Daltonization. • EEG Signal Analysis: Implemented entropy- and complexity-based models for psychiatric disorder classification using ELM and SVM. • Integrated FEA-generated data with ML for injury prediction, material fatigue modeling, and reliability forecasting. Tools & Skills FEA: LS-DYNA, Abaqus, ANSYS, HyperMesh, SolidWorks Simulation Modeling: Rhino, SolidWorks, 3D Slicer, Materialise 3-Matic Programming & ML: MATLAB, Python, TensorFlow, Scikit-learn Specializations: Structural & Nonlinear Dynamics, Fatigue, Superelastic Nitinol Modeling, Optimization, Neural Networks, CAD-based Reconstruction Representative Research & Publications • An Invertible Mathematical Model of Cortical Bone Adaptation — Scientific Reports, 2019 • In Silico Model for Woven Bone Adaptation Under Heavy Loading — Biomechanics & Modeling in Mechanobiology, 2022 • Modeling Cortical Bone Adaptation Using Strain Gradients — Proc. IMechE Part H, 2021 • Alternating Layers of Allograft and Injectable Ceramic Bone Graft Substitute in Acetabular Reconstruction — Arthroplasty Today, 2023 • Temperature Measuring Techniques in Metal Cutting — JJMIE, 2014 (Full list: Google Scholar Profile) Professional Summary My research and consulting work unify simulation physics and intelligent data modeling. Whether simulating stent deformation, optimizing a glenoid implant, predicting crash injuries, or classifying network intrusions, the goal remains the same — translate complexity into understanding. I bring an interdisciplinary edge: deep FEA capability, clinical biomechanics experience, machine-learning fluency, and a strong design sensibility. This combination allows me to deliver scientifically robust, industry-relevant, and innovation-ready solutions.