Research Associates and Postdoctoral Fellows
Jonathan Grinham, DDes, Research Associate »
Jonathan's research interests range from paper robots to thermal monocoques. He received a Doctor of Design degree at the Harvard University Graduate School of Design, where his dissertation developed novel fabrication and design methods for milli- to micro-scale fluid-flow systems for thermal control in buildings. His past research agendas track themes in advanced materials, interactive and responsive environments, embedded computation, computational design, and automated fabrication workflows. Jonathan has taught technology seminars and led design studios at the Harvard University Graduate School of Design, the Massachusetts Institute of Technology, the Catholic University of America, and Virginia Tech. His professional practice ranges from super-tall mixed-use to single-family residential buildings to facade consulting. Jonathan holds a BArch and an MsArch from Virginia Tech.
Xu Han, PhD, Postdoctoral Fellow »
Xu’s primary research areas are building performance simulation and building system optimal control. His research interests include fast simulation of the indoor environment, coupled simulation of building systems and indoor environment, simulation-based optimization, model predictive control and learning-based optimal control. One of his papers was selected for a Best Paper Award by the journal Building and Environment. Xu received his Bachelor and Master of Engineering degrees from Harbin Institute of Technology and Tianjin University in China. He received his PhD from the University of Colorado Boulder, where he conducted a dissertation on “Holistic Optimization of Data Center Cooling Systems and Airflow Management.”
Saurabh Mhatre, MDes, Research Associate »
Saurabh Mhatre is a Research Associate in the Material Processes and Systems Group (MaP+S) and the Center for Green Buildings and Cities at the Harvard Graduate School of Design. He holds a Master's in Design Technology from the Harvard Graduate School of Design, where he graduated with distinction. His dissertation was titled "Embedded Materiality: Super Absorbent Polymers in Architecture.” He received a Bachelor of Architecture from BSSA, NMIMS University in Mumbai. He has worked on projects dealing with the 3d printing of ceramic and concrete, deployable mechanisms, smart materials and folding robots in collaboration with Harvard SEAS, Wyss Institute of Biological Engineering and the Autodesk Build Space.
Shide Salimi, PhD, Research Associate »
Shide’s primary research explores how energy-efficient building design and operation is influenced by building occupants’ behavior and their thermal comfort. She is interested in the applications of data analytics and optimization techniques, coupled with building simulation to incorporate building performance optimality within early-stage design and operational decision-making. Her doctoral research focused on the development of a data-oriented occupant behavior prediction model, which contributed near real-time optimized control strategies to analyze building performance. Her current research projects are centered around thermal comfort with an emphasis on sleep comfort conditions as well as a parametric study of building energy performance for the purpose of energy efficiency improvement. Shide holds a Ph.D. degree from Concordia University, Montreal, Canada for her work on “Simulation-Based Optimization of Energy Consumption and Occupants Comfort in Open-Plan Office Buildings Using Probabilistic Occupancy Prediction Model.” She received a Master of Science in Building Engineering from Concordia University, a Master of Science in Civil Engineering with Distinction from University of Mohaghegh Ardebili (UMA), Ardebil, Iran, and Bachelor of Science in Civil Engineering from Imam Khomeini International University (IKIU), Qazvin, Iran. She was a recipient of Alexander Graham Bell Canada Graduate Scholarship-Doctoral (CGS D) from the Natural Sciences and Engineering Research Council of Canada (NSERC), and Stand-Out Graduate Research Award as well as Merit Scholarship in Concordia University.
Yujie Tang, PhD, Postdoctoral Fellow »
Yujie Tang received his Bachelor of Science degree in Electronic Engineering from Tsinghua University in 2013 and his PhD degree in Electrical Engineering from the California Institute of Technology in 2019. He is a postdoctoral fellow in the School of Engineering and Applied Sciences at Harvard University. His research interest lies in distributed and real-time/online optimization and control, and their applications in cyber-physical networks.
Yu Xue, PhD, Postdoctoral Fellow »
Yu’s primary research areas are fast computational fluid dynamics, indoor/outdoor built environment optimization and air pollution control. His research interests focus on real-time CFD solver development for the built environment, genetic algorithm-based indoor ventilation system optimization, adjoint method-based indoor/outdoor air pollution source inverse identification and sensor network optimization, the impact of building layout on natural ventilation, infiltration, and energy consumption. One of his papers was awarded the Best Paper of Journal Building Simulation in 2017. Yu received both his Bachelor's and PhD degrees of Engineering from Tianjin University, where he conducted a doctoral dissertation on “Research on Inverse Problems of Air Quality in Human Living Environment with Genetic Algorithm and Adjoint Method.” He also has research experience from his time at Purdue University and University of Colorado at Boulder, and obtained a Bachelor's degree in Finance from Nankai University.
Bin Yan, PhD, Senior Research Associate »
Bin’s primary research areas are energy modeling and HVAC system simulation. Her recent research projects include developing a web platform for smart building applications, quantifying uncertainties in HVAC system operations, and developing data-oriented models to predict building energy demand and HVAC system performance for the purpose of decision-making. Bin received both her Bachelor and Master of engineering degrees from Tsinghua University. She received her PhD from the University of Pennsylvania, where she conducted a dissertation on “A Bayesian Approach for Predicting Building Cooling and Heating Consumption and Applications in Fault Detection.”
Doctor of Design and PhD Students
Spyridon Ampanavos »
Spyridon is a doctor of design studies student at the Harvard University Graduate School of Design. His research interest is centered around the synergy of artificial intelligence with human designers and he is exploring the influence of digitally mediated collaborative environments in the design process. His past research at the GSD includes fabrication workflows with industrial robots, interactive data visualization, VR applications, and web and software development for environmental data, water strategies and coastal simulations. Spyridon holds a Master of Design in Technology with Distinction from the Harvard Graduate School of Design and a Diploma of Architectural Engineering from the National Technical University of Athens, Greece.
Elence Xinzhu Chen
Elence Xinzhu Chen is a doctoral student at the Harvard Graduate School of Design. She is searching for strategies from both engineering and design-centric approaches to redefine building design in the domain of sustainability and energy efficiency. Her research interest lies in integrating artificial intelligence (AI) into building energy modeling, simulation, and system control. Elence holds a Master in Design Studies with a concentration on Energy and Environment from the Harvard Graduate School of Design and a Bachelor of Science in Project and Facilities Management from the National University of Singapore. Her master’s thesis, which investigated the use of phase change materials in heating buildings to reduce building energy consumption through a passive manner, was awarded the Daniel L. Schodek Award for Technology and Sustainability 2020 from the Harvard Graduate School of Design.
Jung Min Han »
Jung Min Han is a doctor of design studies student at the Harvard University Graduate School of Design. Her research interest lies in energy-efficient building design and its underlying theories from diverse disciplines such as architecture, building physics and computer science. She navigates interoperable building simulation software for architects to use in creating flexibilities between building performance analysis and early design decision-making. Her doctoral research focused on tool development for environmental analysis and building performance simulation. She uses statistical inference as her primary methodology for advancing the feasibility of software with manifold sets of building data. Jung Min holds a Bachelor of Architecture degree from Korea National University of Arts, a Master of Science in Building Performance and Diagnostics from Carnegie Mellon University, and a Master in Design Studies with a concentration in Energy and Environments from the Harvard University Graduate School of Design.
Sabrina Osmany »
Sabrina is a PhD student in architectural technology at the Harvard University Graduate School of Design and Harvard Graduate School of Arts and Sciences. Her research explores how agency is mediated by digital interfaces. Her interdisciplinary work is divided between the development of tools to study decision-making in interactive systems as well as the development of experimental frameworks to study choice behavior. During her time at Harvard, Sabrina is particularly excited to explore machine learning and multi-agent simulation as tools to study human dynamics in the forthcoming age of consumer virtual reality, which promises real-time human avatars aplenty. She is a recent graduate of NYU’s Interactive Telecommunications Program (MPS) where she prototyped interfaces for tangible and social computing. Her work includes the development of a programming language in Urdu, a mobile application that uses computer vision to identify and connect with network devices, and a one-hundred-and-twenty-foot video installation at InterActiveCorp headquarters in New York City.
Xiaoshi Wang »
Xiaoshi Wang is a PhD student exploring the potential integration of traditional architectural design and relevant engineering disciplines to improve building energy efficiency and indoor comfort. His research focuses on creating instant and straightforward connections between spatial layout and qualified natural ventilation scenarios with the intent to equip early stage design with quantifiable consideration of indoor environment and sustainability. He’s also interested in creating self-optimization mechanisms for space morphology that seek preferred indoor flow conditions by using learning algorithms. Xiaoshi holds a Master of Design degree with a concentration in Energy and Environments from the Harvard University Graduate School of Design; a Master of Science Advanced Architectural Design degree from Columbia University and a Bachelor of Architecture degree from Tongji University in Shanghai, China.
Wei Zhang »
Wei is a PhD student at the Harvard Graduate School of Design and the Harvard Graduate School of Arts and Sciences. He was awarded the title of European Engineer (Eur Ing) in 2017. His research interests are to develop artificial intelligence in the context of green architecture and to apply machine learning in building science. As a senior professional engineer, he was in charge of confinement systems design and HVAC&R systems design, in addition to complex system analysis and modeling for the next generation of energy infrastructure in France. He holds a DPEA post-master’s degree in architectural studies from ENSA Paris-La Villette, a Diplôme d'Ingénieur in mechanical engineering from INSA Toulouse, and a BEng degree from Southeast University in China. He also has research experience in science, architecture and history at the University of Toronto, ETH Zurich, Aarhus School of Architecture and Université Paris X – Nanterre.