Alumni

MS/PhD Students

Youngkyu Kim

Physics-Informed Data Assimilation and Data-Driven Reduced Order Model

Youngkyu received his B.S. in Mechanical Engineering from POSTECH and his M.S. in Mechanical Engineering from UC Berkeley in 2017. He is currently an PhD student in the Mechanical Engineering department. Read More

His main research interest includes data-driven reduced order models, data assimilation using Kalman filter, and mesh-free methods.
About

Donghoon Kim

Toolpath optimization of additive manufacturing process using Machine Learning

Donghoon was a Ph.D. student in mechanical engineering at UC Berkeley. Read More

His main interests are Machine Learning, Deep Learning, Optimization, and their applications to the modeling and simulation of advanced manufacturing processes. Other interests include mesh-free particle methods and micro/nano-scale self-assembly. In his free time, he usually goes to the gym or shows some magic tricks to other people.

David Gabriel Alcantara

Multiscale modeling and simulation of robotic free-form electrophoretic 3D printing

David was a MS student in mechanical engineering at UC Berkeley co-advised by Profs. Tarek Zohdi and Philip Marcus. Read More

David graduated from the University of Maryland, College Park with a BS in mechanical engineering, as well as a BS in computer science. Outside of academics he enjoys hip-hop dance and video/board gaming.

Kate Edwards

Modeling of Additive Manufacturing of Bio Materials

Kate was a M.S. student in mechanical engineering at UC Berkeley with a B.S. in mechanical engineering for Louisiana State University. Read More

Her research interests are in additive manufacturing and biomechanics through computational modeling. In her spare time Kate enjoys reading, visiting art museums, and hiking.

Chang Yoon Park

Particle Based Simulation Framework for Sintered Mechanical Components

Chang yoon Park graduated from UC Berkeley in 2019.Read More

His research topic was on optimizing toolpaths via physical simulations of the nozzle extrusion process in additive manufacturing techniques. Currently, he is working in personal projects in the San Francisco Bay Area.

Shanna Hays

Modeling of Inkjet Printing with Photopolymers

Shanna got her Ph.D. in Mechanical Engineering in 2019. Read More

Research interests include investigation of material properties and behavior during additive manufacturing through computational modeling. In her spare time she enjoys jogging and hiking with her dog.

Maxwell Micali

Physical Simulation and Machine Learning for Manufacturing Toolpath Planning

Maxwell received his M.S. & Ph.D. while an NSF Graduate Research Fellow in mechanical engineering at UC Berkeley. Read More

His Ph.D. work created new methods for coupling fast physical simulation and evolutionary machine learning techniques to optimize additive manufacturing, preventing common process defects without human intervention. He is broadly interested in cybermanufacturing, production planning, human-machine interaction, machining, and sustainable manufacturing. He was also a member of the Laboratory for Manufacturing and Sustainability. Prior to Berkeley, he graduated with a B.S. in mechanical engineering from Yale University. Non-engineering interests include marine biology, skiing, and science policy.

M. Erden Yildizdag

3D Printing of Smart Materials

Erden is from Kadikoy, Istanbul. His research interests include additive manufacturing,Read More

material point method, isogeometric analysis, and level set method. He is currently working on modeling and simulation of extrusion based additive manufacturing applications.

Sasha Evans

Performance and reliability considerations in using recycled materials in consumer electronics

She is interested in advanced manufacturing technologies with the focus on innovative materialsRead More

, performance, and reliability, and is currently working as a Reliability Engineer for consumer electronics in the Bay Area. In her spare time she enjoys running, hiking, skiing, and reading a good book.

Brett Kelly

Three-Dimensional Holographic Lithography

Brett was co-advised by Prof. Hayden Taylor, working on development of new technologies for volume-at-once 3D printing. Read More

He likes to run, and he competed in Track and Field and Cross Country for Cornell University as an undergraduate. Don't worry, he enjoys playing real sports as well, and he also loves skiing and being on a mountain in general.

Santiago Miret

Multi-scale and Multi-physics Modeling

Santiago got his PhD in Materials Science & Engineering co-advised by Prof. Tarek Zohdi in the Mechanical Engineering Department and Mark Asta in the Materials Science & Engineering Department. Read More

Santiago's research focuses on creating a design tool for composite materials in exigent environments by using numerical methods to compute their properties and behavior.

Marc Russell

Multi-physics Modeling of Additive Manufacturing Processes

Ph.D.(ME): 05/2018. While at the CMMRL, Marc researched the use of Mesh-Free numerical methods to simulate Additive Manufacturing Processes. Read More

Marc is currently serving as an engineering consultant. Outside of work, he is interested in space exploration and promoting science and engineering in his community. In his spare time, he enjoys trail running, cycling, watching soccer, cooking, and eating ice cream. Go Bears!

David Fernández-Gutiérrez

Delta Voronoi Smoothed Particle Hydrodynamics, ẟ-VSPH

Ph.D. (ME): 05/2018. Prior to come to Berkeley, David worked in the R&D department of Seaplace, an offshore consulting company in Spain. Read More

His research interests include numerical hydrodynamics, structural design, and advanced control systems. Outside the university, he loves soccer, biking, hiking and reading. He's part of the Mechanical Engineering Athletics Team, so go MEAT!

Zeyad Zaky

Particle-laden fluid for manufacturing and industrial processes

Ph.D.(ME): 12/2017. Zeyad is currently at Apple Inc. working on display processes. His expertise is in computational modeling, scientific computing, and numerical techniques. Read More

Namely, his thesis work used Lattice Boltzmann models to simulate infiltration into permeable porous media as applied to CMC manufacturing. Zeyad also has passions in applying optimization models and methods to simulations in order to hone in on the most desirable parameter spaces for a desired output, and he has used Genetic Algorithms and Simulated Annealing to this end. He also has a passion for Sensitivity Analysis in order to perform dimension reduction for simulations, thereby optimizing around the most important inputs. In his free time he enjoys spending time with family, playing sports and being active, reading, learning, talking, and eating.

Matthew W. Kury

Beam Based Modeling of Open-Celled Foams Soil Simulations in Subterranean Blasts

He is an avid dancer, in his undergraduate years he was a member of various dancing organizations, from the competitive ballroom team to the social tango club. Read More

In recent years, he mostly dances socially, namely hustle and swing. He has even helped a couple prepare for their wedding dance. In addition, he enjoys playing board games and seeing movies.

Mickey Clemon

Statistical modeling and experimentation for manufacturing

Ph.D.(ME): 5/2017. Mickey is currently a Partner and Consultant at Taylor & Clemon Consulting LLC (9/2017). He is a design expert and additive manufacturing researcher. Read More

He investigates material defect formation in, material reuse and recycling for, and real-time monitoring of powder-based additive manufacturing processes. In addition, he explores environmental impacts of manufacturing and design engineering for hazardous waste processing. His primary methods involve statistical modeling and experimentation.

Atrin Sarmadi

Multi-physics modeling

Ph.D.(ME): 12/2015. He is currently an Engineering analyst and computational mechM.S.: 5/2017. He is currently a Manufacturing Engineer at ODMS LLC. Read More

His interests include Additive Manufacturing, Sustainable Manufacturing, Manufacturing Systems and Renewable energy technologies. Atrin's hobbies include playing and watching sports, and he is a certified open scuba diver.anics code developer at Lawrence Livermore National Lab (01/2016 - present). Interests include 3D printing and novel additive manufacturing technologies. Also deeply interested in renewable energy technologies, energy efficiency, and environmental policy. Some hobbies include hiking, running, music, and reading.

Anju Toor

Nanoparticle-Polymer Composite Dielectric Materials for High Performance Energy Storage

Anju Toor is currently a postdoc in the Materials Sciences Division at Lawrence Berkeley National Lab. She completed her PhD in May 2017 under the guidance of Prof. Albert Pisano and Prof. Tarek Zohdi. Read More

Her research interests include Nanomaterials Self-assembly, Polymers, Thin Films and Nanocomposites. She has developed solid state dielectric materials with high dielectric permittivity and low dielectric loss properties. She is currently working on generating structured liquids employing nanoparticle-polymer self-assemblies at the liquid interfaces.

Syd Hashemi

Multiscale and Multiphysics Modeling of Heat Transfer

He enjoys playing tennis, squash, and soccer.

Maria Pace

Silicon Nanowires for Chemical Sensors, True pH Measurement and Species Identification

Now a post-doc at UCSF, she conducted her PhD research under the supervision of Dean Albert P. Pisano and Professor Tarek I. Zohdi. Read More

Some of her research interests include design, modeling and characterization of MEMS nanowire electrochemical sensors, resonators, harsh environment MEMS, modeling and design of transducers and investigation of mechanical and electrical properties of 2D materials. Maria received the National Science Foundation Fellowship in 2010.

Daniel Driver

EM Simulations of Laser Ablation for Roll-to-Roll Manufacturing of Flexible Electronics 

Ph.D.(ME): 12/2015. He is an Engineering Analyst at Lawrence Livermore National Lab (1/2016~). He is a North American Unicycle Basketball Champion.

Aashish Ahuja

Developing Energy Efficient Facades for Buildings

Prior to working on this project, he helped Applied Materials in developing an API between Siemens NX and Simulink as a part of his Master's thesis at UC, Berkeley. Read More

He completed his undergraduate degree from BITS, Pilani, India in Mechanical Engineering. His hobbies include ballroom dancing, table tennis, and windsurfing.

John Stevens

Operational Analysis of Artificial Photosynthetic Systems

Interests include renewable energy technology, energy policy, and CO2 sequestration. Hobbies include the outdoors and bicycling.

Rishi Ganeriwala

Multiphysical Modeling and Simulation of Selective Laser Sintering

Ph.D.(ME): 12/2015. He is currently an Engineering analyst and computational mechanics code developer at Lawrence Livermore National Lab (01/2016 - present). Read More

Interests include 3D printing and novel additive manufacturing technologies. Also deeply interested in renewable energy technologies, energy efficiency, and environmental policy. Some hobbies include hiking, running, music, and reading.

Alejandro Queiruga

Simulation of Electromagnetically Sensitive Ballistic Fabric

His research interests include Electromagnetic Structure Interaction, Impact Phenomena, Numerical modelling of multiphysics problems.  Read More

His personal hobbies include Go, Electronics, FPGA programming.

Bhavesh Patel

Modeling and Simulation of Particle Doped Materials under an Electromagnetic Field

Ph.D.(ME): 12/2015. Job title: Assistant Research Professor. Hailing from France, he received his “Diplôme d’Ingénieur” Arts et Métiers from ParisTech, France. Read More

His hobbies include soccer, Bollywood movies, and music.

Debanjan Mukherjee

Discrete Particle Simulation Techniques for the Analysis of Colliding and Flowing Particulate Media

Ph.D.(ME): 12/2013. He is currently a Post-doctoral Scholar UC Berkeley Mechanical Engineering. Read More

In his free time Dr. Mukherjee likes to pursue his interests in music and to try his hand at cooking new recipes.

Ilker Temizer

FEM Composites, Multi-Scale Modeling, Homogenization and Modeling of Fabrics

M.S.: 2003, Ph. D.(ME): 12/2005. He is currently an assistant professor at Bilkent University, Turkey. Read More

He leads Computational Multiscale Mechanics Laboratory where the research efforts are focused on the theoretical and numerical aspects of computational mechanics that are associated with multiscale-multiphysics modeling strategies for heterogeneous materials and interfaces.

David Powell

FEM Composites, Multi-Scale Modeling, Homogenization and Modeling of Fabrics

M.S.: 2005, Ph. D.(ME): 2008. He is currently an Engineer with Baker Engineering and Risk Consultants. Read More

He was once a staff scientist at the Army Research Labs (ARL). In his free time, David likes to paint and attend art competitions. He also enjoys learning about history, especially ancient history, and traveling.

Diego Arbelaez

Computational Modeling of Granular Flows for Industrial Applications

M.S.: 2005, Ph. D.(ME): 5/2008, and was co-supervised with D. Dornfeld. Post-Doctoral Scholar: UC Berkeley (5/2008-5/2009).

Jonathan Wenk

FEM Composites, Multi-Scale Modeling, Homogenization and Modeling of Fabrics

M.S.: 2005, Ph. D.(ME): 5/2008, and was co-supervised with P. Papadopoulos. Currently an assistant professor at the University of Kentucky.

George Mseis

FEM Composites, Multi-Scale Modeling, Homogenization and Modeling of Fabrics

Ph.D.(ME): 12/2010. He is currently a product design engineer at Apple.

Tim Kostka

FEM, Ductile Fracture, Material Localization

Ph.D.(ME): 5/2010. He is currently a Principal Member of the Technical Staff at Sandia National Laboratories (2010-present).

Lik Chuan Lee

Coupling of Cardiac Electrophysiology with Cardiac Mechanics

Ph.D.(ME): 06/2010. Post-Doctoral Scholar: UC Berkeley/UCSF(with Prof. J. Guccione), 07/2010-12/2012. He is currently an assistant professor at Computational BiomechanicsRead More

Research Group at Michigan State University since 08/2014. Previous research included study of grain boundary diffusion in polycrystalline solids, and its effects on seismic wave attenuation.

Doron Klepach

Computational Mechanics, Continuum Mechanics, Bio-Mechanics, Multiphysics Modeling, FEM

Ph.D.(ME): 12/2010. Post-Doctoral Scholar: UC Berkeley/UCSF(with Prof. J. Guccione), (12/2010-8/2012). He is currently a lecturer at Tel-Aviv University, Israel.

Ryan Krone

FEM, Composites, Multi-Scale Modeling, Homogenization and Modeling of Fabrics

Ph.D.(ME): 12/2010 and was co-supervised with D. Steigmann. Post-Doctoral Scholar: Stanford University, (8/2013-7/2014). Post-doctoral fellowship in the BiodesignRead More

program at Stanford 2012-13. He is currently a Co-Founder and Chief Technology Officer of Madorra Inc.. Ryan spends his working hours on his medical device start-up (Madorra) and another medtech company focused on changing the paradigm for interventional stroke care in the Bay Area. His free time he spends with his wife and kids being active where they live in Portland, OR.

Sun Choi

Particulate Flow in Channels

Ph.D.(ME): 5/2012 and was co-supervised with A. Pisano. Post-doc fellow at LBNL (06/2012-05/2014). He is currently a Senior Research Scientist at Korea Institute of Science and Technology (06/2014~).

Brett Collins

Particulate Flow in Channels

Ph.D.(ME): 5/2013. He is a Senior Member of Technical Staff at Sandia National Laboratories - Livermore CA.

Hiroyuki Minaki

Multiscale Modeling

Ph.D.(ME): 5/2013 and was co-supervised with S. Li. Currently works for a tire manufacturer in Japan.

Peter Minor

Discrete Element Modeling of Impact Damage on Thermal Barrier Coatings

Ph.D.(ME): 12/2013. He is currently a Partner of CITRIS Foundry at UC Berkeley. His hobbies and interests include technology, energy affairs, environmentalism, and current events.

Post-Doctorates & Visiting Scholars

Simon Schmidt

Phase Field Modelling of Transformation and Failure Mechanisms

Simon graduated from the University of Kaiserslautern with a Dipl.-Ing. in theoretical fundamentals of mechanical engineering. Read More

He is a PhD student in Kaiserslautern, working on modelling the martensitic transformation in metastable austenitic steels using a phase field approach. In his spare time he enjoys running, swimming and cycling.

Lukas Bante

Adapted Solver Methods for the Simulation of Additive Manufacturing

Lukas received B.S. degrees in Mechanical Engineering and Business Administration and a M.S. in Aerospace from the Technical University of Munich.Read More

He is a visiting student here at the CMMRL as part of his graduate studies. Further research interests are aerospace applications of additive manufacturing, space robotics and flight data analysis. He spends his spare time biking, hiking or climbing in the mountains and singing as a classical baritone.

Christoph Schreiber

Phase field modeling of fracture

Christoph received his B.Eng. and M.Eng. degrees in his Bavarian home at HAW Landshut before he moved to Kaiserslautern to start his Ph.D studies at TUK.Read More

Currently, he enjoys his second scholar visit to the CMMR Lab. His research is focused on modeling different aspects of fracture, as e.g. fracture of anisotropic materials or fatigue crack growth utilizing the phase field method. When there is time, he likes to travel, go hiking, running, or snowboarding.

Timo Schmidt

Modeling and simulation of SLS-3D printing process

Timo received his B.Sc. in Mechanical Engineering at the Technical University of Hamburg (Germany), and he is currently in a Master’s program in Hamburg. Read More

In the framework of a one year exchange program between the Technical University of Hamburg and UC Berkeley, Timo works in the Computational Manufacturing and Materials Research Lab. His main interests are various particle based multiphysics simulations. Moreover, he is interested in Additive Manufacturing and robotics. In his free time, he plays a European sport called team handball and he enjoys skiing and hiking.

Takashi Maeshima

Ultra-fast laser-patterning computation for advanced manufacturing of powdered materials

Dr. Maeshima started studying here as a visiting researcher. He is from Japan. Read More

He is working for TOYOTA CENTRAL R&D Labs as a researcher. His major is materials science and engineering. He will study prediction of the deposition of mixed powder material and of selective melting phenomenon of the mixed powder. He likes to play golf and go camping, and used to play the guitar.

Christian Zeller

Adaption of Numerical Methods, Laser Beam Melting

He was a visiting PhD student from the Institute for Machine Tools and Industrial Management of Technical University of Munich, Germany. Read More

He got a bachelor degree in mathematics and a master degree in mathematic in science and engineering. His research is on the adaption of numerical methods to the specific requirements of the additive manufacturing technology laser beam melting. In his spare time, he enjoys doing every kind of sport.

Anna Rehr

Finite Elements, Contact Mechanics, Error Estimation and Mesh Adaptivity

Anna is a graduate student in Computational Mechanics at TU Munich. Read More

She was a visiting student at UC Berkeley in the Computational Manufacturing and Materials Research Lab, where she wrote her Master Thesis in the field of Error Estimation and Adaptive Refinement for Contact Mechanics. In her spare time, she enjoys hiking, traveling and playing soccer.

Henning Wessels

Meshfree Methods, Selective Laser Melting

Henning was a visiting PhD student from the group of Prof. Wriggers in Hannover, Germany. Read More

His research focuses on the development of mesh free methods to enhance simulation of additive manufacturing processes, especially Selective Laser Melting. He is a passionate outdoor activist who enjoys swimming, cycling and hiking.

Alex Alves Bandeira

Computational Modeling of Solid Mechanics

Post-Doctoral Scholar: UC Berkeley (6/2015-7/2016). Associate Professor of Civil Engineering at the Federal University of Bahia (Brazil). Holds MSc (1997) and Ph.D. (2001) degrees in Civil Engineering from the University of São Paulo, Brazil. Read More

Since 1997, has been working in computational mechanics applied to structural engineering, optimization, non-linear analysis, finite element method, contact mechanics, impact problems, elastoplasticity, reinforced concrete and concrete structures reinforced with carbon fiber. Developed part of his Ph.D. research with Prof. Peter Wriggers at the Institute for Computational Mechanics in the Leibniz University of Hannover, Germany (1999-2001), and with Prof. Giorgio Zavarise, at the University of Padua, Italy (1999-2000). Developed a Post-Doctoral Scholar (2015-2016) at the University of California, Berkeley, with Prof. Tarek Ismail Zohdi, in the Computational Manufacturing and Materials Research Lab. Since 2015, has been developing research in Discrete Element Method, particle methods, computational materials, granular materials and structural fabric.

Semion Shaul

Kidney Stones: Fluid Dynamics Modeling and ESWL Treatment

Post-Doctoral Scholar: UC Berkeley (01/2015-09/2016). He is currently a Solid State Research Scientist at Perrigo API. Semion received his PhD from BGU, Israel. Read More

He enjoys finding solutions to problems in areas of mechanical, chemical and bio system engineering. He believes that the source for innovation is finding simple and creative solutions to challenging problems.

Philipp Glösmann

Post-Doctoral Scholar: Hamburg, Germany (8/2007-8/2008)

Gilles Lubineau

Composite and Heterogeneous Materials Analysis and Simulation

Visiting Researcher: 2007-2008. He is currently a professor of Mechanical Engineering at KAUST and a principal investigator of Composite and Heterogeneous Materials Analysis and Simulation Laboratory (COHMAS).

Ercan Degirmenci

Discrete Multi-Scale Network Modeling of Fabric Undergoing Ballistic Impact

He was a visiting scholar in CMMRL (2013-2014). He is currently an associated Professor at Turkish National Defense Ministry. Read More

Previous research focused on experimental, theoretical and numerical aspects of impact phenomena that are mostly associated with the design and simulation of high-strength isotropic and anisotropic materials.

Eduardo M.B. Campello

DEM Formulations for the Modeling of Particulate Materials and Biological Membranes and FEM Formulations for the Analysis of Thin Structures

Associate Professor at the Department of Structural and Geotechnical Engineering, University of São Paulo, Brazil. Read More

Was a post-doctoral researcher at the Institute for Computational Mechanics in the Leibniz University of Hannover, Germany (2006), and a Visiting Scholar at the University of California at Berkeley, USA (2012-2014, Department of Mechanical Engineering). Holds MSc and DSc degrees in Civil Engineering from the University of São Paulo (2000 and 2005), and Habilitation in Solid Mechanics from the Polytechnic School, University of São Paulo (2016). Has research efforts focused on theoretical and numerical aspects of computational mechanics that are associated with three main subjects: (1) thin flexible structures, (2) steel structures, and (3) granular materials and discrete media. Member of the Editorial Board of the scholarly journal Computational Particle Mechanics (Springer) and President (elected, since 2016) of the Brazilian Association for Computational Methods in Engineering (ABMEC - an IACM affiliated).

Konrad Linnemann

Post-Doctoral Scholar: UC Berkeley (01/2009-06/2009). He is currently a Scientific Employee at the BAM Bundesanstalt für Materialforschung und -prüfung, 12200 Berlin, Germany.

Master of Engineering Students

2019-2020

Large Scale Floating Solar Farms

We are designing and analyzing an improved module for floating solar to be used on human-made bodies of water.

Arthur Labarre

Gina Myers

Priyaj Mehta

Roger Chen

Weiheng Lu

WildFire Technologies–Geographic Data Analysis, Multi-UAV ML Path Planning, and Computer Vision Efficiency Enhancement

Our team project is basically divided into three parts. In the first part, the team will dive into wildfire geographic data collection and analysis. Annually burned area size and locations of each state will be calculated and analyzed by pixel computation. We will also visualize the data and provide solid supports for following multi-UAV path planning. In the second part, after selecting one or several specific high-risk locations as examples, we employ machine learning/GE Algorithm to multi-UAV path planning model, aiming to minimize various kinds of cost, like energy and human resources, by modifying parameters including domain, location weight, UAVs’ mass, speed, and initial distribution. In the third part, we focus on flash-based ToF and Lidar-based body scanning process by enhancing its performance on the speed and accuracy of simulation, enlarging scanning scope, and applying to real occasions including wildfire emergency.

Jingtong Zhao

Rui Sun

Rui Xu

Wei Huang

Fire Technologies in the Era of Climate Change – Digital Twin Between UAV Controlled Mapping and Deployable Fire Simulations

The Fire Technologies Capstone strives to provide a comprehensive solution to wildfire risk reduction. Our team will focus on pairing fire simulations and real-life environments through controlling swarms of UAVs in a mapping effort. Through this digital twin, we look to produce a simulation method to predict fire propagation through digitally recreated terrain and identify how to distribute that information primarily for mobile fire fighting decision-making purposes.

Carlos Núñez

Jeremy Hamlin

Mikio LaCapra

2018-2019

Simulation and Optimization of Fused Deposition Modeling(FDM) Process

The market of Additive Manufacturing process has grown dramatically from 5 billions to 7 billions by 40% in 2018. However, this process is hard to simulate because of its transient(time-depending) model. In order to model this process, I had utilized Star-CCM+ and its API in Java to generate a simulation model. Further, optimizations and several parameter studies regarding to printing environment are conducted with the simulation model.

Zhi-Wei Lin

Lei Zhou

Yucao Ji

Ismail Breiwish

2017-2018

WorkOutimal (Smart Exercise Machine)

The goal of WorkOutimal is to create a stationary exercise bike that is able to passively guide the rider through an efficient workout. An efficient workout, for our purposes, is one in which the combination of force applied by the user and the velocity of pedalling results in a maximum power output. Therefore, the workout is able to burn the most amount of calories per unit time. We will be simulating an ideal control system, while building the hardware to implement a simplified version of the system. Additionally, our team has done market research and created a business plan for bringing this technology to market.

Abdulaziz Alfaris

Rex Chen

Bradley Los

Meredith Meyer

Ming-Hsueh Wu

Shican Zheng

Next Generation 3D Printing Materials

We are working to create new 3D printer materials that have properties that are determinable by the customer. The printing process should be user-friendly, cost efficient, and maintain the integrity of the material, as well as, be easy to produce. Accordingly, our value proposition focuses on customizable 3D printer material, which users are able to choose the properties they want and we will make it for them.

Apoorva Sooranahalli

Jiayun Shao

Xiao Liu

Nagapratik Mundla

Tsung-Ying Tsai

Johann Chow

Modeling the Design of a Specialized Lubricant for Rotating Machinery

We are a bunch of Master of Engineering graduate, working on creating a mathematical model for additive based lubricants. The definition of success or the aim for the project is to build a mechanistic model of the heat generation within a bearing, as a function of the properties of the lubricant and the additives. We will formulate a numerical technique to integrate the model and solve the inverse problem of computing lubricant additives to obtain a given heat generation limit.

Kshitij Verma

Mayur Birari

Gaurav Vijay Shende

Modeling the Dynamics of a Swarm

A swarm is a system composed of a large amount of simple and identical agents which interact locally among themselves without any central control, allowing complex group behavior and emergent collective intelligence. It involves population based algorithms that can generate fast and robust solutions to complicated optimization problems which traditional approaches cannot solve. The main algorithm used in our project, Particle Swarm Optimization, is a population based, stochastic optimization technique. Our capstone project objective is to create simulation software in MATLAB that reproduces the mathematical models of interaction, or “swarm behavior” using the PSO algorithms.

Wendy Siu

Liang Fan