Jonathan Cagan is the George Tallman and Florence Barrett Ladd Professor in Engineering, in the Department of Mechanical Engineering at Carnegie Mellon University, with an appointment in the School of Design. He is an expert in product development and design methods for early stage product development.
His research focuses on design methods, theory and practice, including computational synthesis, cognitive-based design and interdisciplinary product development. Cagan serves as the Associate Dean for Strategic Initiatives for Carnegie Mellon’s College of Engineering. He also co-founded and co-directs the Integrated Innovation Institute, a joint partnership between engineering, design, and business.
Kosa Goucher-Lambert is a PhD candidate in the Department of Mechanical Engineering, advised by Dr. Jonathan Cagan. Kosa received his B.A. in Physics from Occidental College in 2011, and his M.S. in Mechanical Engineering from Carnegie Mellon University in 2014. Kosa is the recipient of the NSF Graduate Research Fellowship and 2014 ASME IDETC Design Theory and Methodology Best Paper Award. His current research explores multi-attribute decision making involving sustainability in both product preference judgments and product design using a variety of research techniques, including functional magnetic resonance imaging (fMRI).
Mark Whiting received his B.Des. in Industrial Design from the Royal Melbourne Institute of Technology (RMIT) (with first class honors), and his M.S., also in Industrial Design, from Korean Advanced Institute of Science and Technology (KAIST). From 2013 he has worked at Carnegie Mellon with Jonathan Cagan and Phil Leduc exploring the overlap between biological systems and design. Ultimately, Mark is interested in using computational and economic approaches to increase the tractability of high complexity design problems, such as those sometimes found in biology.
Dan Clymer graduated from Grove City College in May 2014 with a B.S. in Mechanical Engineering. He joined the lab group at Carnegie Mellon in January 2015. His research is focused on optimization of additive manufacturing processes.
Josh Gyory is a first year PhD candidate in the Department of Mechanical Engineering. He earned his B.S in Mechanical Engineering from the University of Pittsburgh in 2014 and his M.S. in Mechanical Engineering from Carnegie Mellon University in 2016 where he worked as a student researcher at Disney Research Pittsburgh (DRP). He is now part of the IDI Group advised by Dr. Jonathan Cagan (Professor of Mechanical Engineering) and Dr. Kenneth Kotovsky (Professor of Psychology). His research interests include studying the cognitive underpinnings associated with engineering design and design team problem solving.
Ut Na Sio is fascinated by insight. Her core research focuses on understanding how insight emerges, at individual and group levels. Her program of research examines the roles of conscious and unconscious thought in these conceptual recombination processes: how we search in long-term memory for solution and how it can be facilitated through incubation and mind wandering, and how we make use of the external information (e.g., others' ideas and the presence of examples) to achieve insight. She combines behavioral and computational modeling approaches, and applies meta-analysis methods, to address these questions. Her research initially centered on problem solving at the individual level, but has recently have expanded to include team problem solving, identifying the commonalities in the cognitive processes that occur within an individual mind and a goal-oriented group.
Shraddha Joshi is currently working as a Post-Doctoral Fellow with Professor Jonathan Cagan at Carnegie Mellon University. She is investigating the avenues of Internet of Things and Connected Products since August 2014. She is also teaching Junior Seminar class in Mechanical Engineering Department at CMU since then.
She earned her Ph.D. in Mechanical Engineering from Clemson University with her research focused on understanding the role of requirements in engineering design by novices under the guidance of Professor Joshua Summers in December 2013. She received her MS in mechanical engineering from Clemson University and her BE in mechanical engineering from Nirma University, India. Her current research interests primarily include Internet of Things, Innovation, Connected Products and Systems Design, Requirements in Engineering Design, Design Education Research and Methods for Design Research.
Chris McComb is a Post-Doctoral fellow working with Dr. Jonathan Cagan and Dr. Kenneth Kotovsky (Department of Psychology). Since beginning graduate studies he has received the Tau Beta Pi King Fellowship, the NSF Graduate Research Fellowship, and the G. Sundback Graduate Fellowship. Chris's research interests include design methodology, STEM education, design optimization, and machine learning. His current research focuses on modeling and understanding team processes in engineering design.
- Paul Egan, Emergent Computational and Cognitive Model of Multi-Scale BioMechanics Design
- Bryony DuPont, Exploring the Application of an Advanced Extended Pattern Search Algorithm within a Multi-Agent System to Wind Farm Optimization
- Brian Sylcott, Understanding the Role of Aesthetic Judgment in Consumer Choice and Preference Modeling
- Matthew Wood, Problem Representation and Team Mental Model Development in Individual and Team Problem Solving Performance
- Katherine Fu, Design Team Convergence, Finding Design Analogies
- Ian Tseng, Unification of Stylistic Form and Function
- Manish Agarwal, Supporting Automated Design Generation: Function Based Shape Grammars and Insightful Optimization - now Senior Vice President at AXA Equitable Life Insurance Co
- Chandankumar Aladahalli, Improved Pattern Search Algorithm Using an Objective Function Effect Based Move Schedule for 3D Component Layout– now Engineer at GE India
- Matthew Campbell, A-Design: An Agent-Based Conceptual Design Methodology – now Associate Professor at University of Texas at Austin
- Lindsay Hanna, Combinatory Adaptive Optimization with Multi-Agent Systems – now engineering at Veryst Engineering
- Jay McCormick, Implementing Parametric Shape Grammars to Capture and Explore Product Languages) – now Assistant Professor at U Idaho
- Jarrod Moss, The Role of Open Goals in Noticing Relevant Information in Problem Solving – now Assistant Professor at Mississippi State University
- Jesse Olson, The Collective Potential: Achieving Organizational Potential by Design – now engineer at Northrop Grumman
- Seth Orsborn, Quantifying Aesthetic Preference Through Statistics Applied to an Agent-based Shape Grammar Implementation – now Assistant Professor at Bucknell University
- Linda Schmidt, An Implementation Using Grammars of an Abstraction-Based Model of Mechanical Design for Design Optimization and Design Space Characterization – now Associate Professor at University of Maryland at College Park
- Kristina Shea, Essays of Discrete Structures: Purposeful Design of Grammatical Structures by Directed Stochastic Search – now Professor at Technische Universitaet Muenchen, Germany.
- Simon Szykman, Optimal Product Layout Using Simulated Annealing (5/95) – now Chief Information Officer at U.S. Dept. of Commerce
- Hubert Vasseur, Manufacturing Quality and Process Capability: a Cost-Based Analysis – now Engineer at Renault
- Xiangyang Xin, Product Innovation in A Cultural Context - A Method Applied To Chinese Product Development – now Assistant Professor and Hong Kong Polytechnic University
- Su Yin, A Pattern Search-Based Algorithm for Automated Product Layout – now Engineer at Smiths Aerospace
- Steven (Pinzhi) Chen, fMRI Studies and Data Mapping of Form-Function Reasoning
- Ashwini Asokan, Design Languages for Cultural Context
- Hillary Carey, A Corporate Decision Model of the Product Design Process
- Drew Degentesh, Effective Computational Structural Design and Analysis
- Saurabh Deshpande, Agent-Based Optimal Process Planning
- Quan Ding, Optimal Packing of Automobile Trunks
- Ashish Kolli, Layout of Non-linear Shapes
- Gyuho Kwak, A User-Interactive Optimizing Routing Algorithm
- Rosa Lopez, Quality Estimation Through Neural Networks
- Luis Oms, Investigation of Hip Fractures in the Elderly and Hip Pad Solution
- Shashvat Prakash, Hierarchical Method for Approximating MEMS Analysis
- Giridhar Reddy, Topological Generation of Truss Structures
- Julie Reyer, Computer Aided Systems Simulation
- Jamie Rugnetta, Innovative Design of Walkers for Elders
- Erika Wetzel, Understanding Chaos in the Design Process
- Andrew Whittam, Formal Criteria for Robust Optimality