Ahsan Kareem
Alma mater	Colorado State University University of Hawaii Massachusetts Institute of Technology West Pakistan University of Engineering and Technology
Scientific career
Institutions	University of Notre Dame Colorado State University University of Houston
Website	engineering.nd.edu/profiles/akareem

Ahsan Kareem is the Robert M. Moran Professor of Engineering in the Department of Civil & Environmental Engineering and Earth Sciences (CEEES) at the University of Notre Dame. He is Director of the Nathaz Modeling Laboratory and served as the past Chair at the Department of CEEES at the University of Notre Dame.^[1][2]

The focus of his work is on quantifying load effects caused by various natural hazards on structures and to develop innovative strategies to manage and mitigate their effects. The characterization and formulation of dynamic load effects due to wind, waves and earthquakes on tall buildings, long-span bridges, offshore structures and other structures is carried out via fundamental analytical computational methods, and experiments at  laboratory, and full-scale. He directs NatHaz Group (NatHaz Modeling Laboratory) which focuses on developments in cyberspace virtual collaborative research platforms, e.g.,  virtual organizations, crowdsourcing, computational intelligence, living laboratories, sensing and actuation, citizen sensing, web-enabled analysis and design, scientific machine learning (SciML) and cloud-based computing.

His fundamental contributions to aerodynamics and aeroelasticity has led to advances in the analysis, design and performance assessment of tall buildings and long span bridges,^{[3][4][5][6][7][8][9][10][11][12]} high speed train aerodynamics,^[13][14] and land based and floating wind turbines.^[15][16] He has conducted from wind tunnel modeling^[17] to stochastic and CFD (Computational Fluid Dynamics)^[18][19] based simulations and finally to the full-scale monitoring of some of the signature buildings^[20][21] around the world including more recently Burj Khalifa.^[22] It utilizes a novel “SmartSync” system featuring “Internet-of-Things” (IoT) concept with built in layers of intelligence for data management and analysis.^[23][24][25] He has advanced models for damping in tall buildings and motion mitigation devices like tuned liquid dampers from design, prototype testing to post installation monitoring in buildings in the US and in the Pacific-rim.^{[26][27][28][29][30]} His contributions towards database assisted design through a web-portal recommended in ASCE 7 is used worldwide for designing tall buildings.^[31] More recently, his group has embarked on shape optimization^[32][33] of tall buildings based on CFD with embedded topology optimization^[34][35] to configure efficient and optimal structural systems,super tall buildings and long span bridges.^[36] He has developed prediction methods for quantifying hydrodynamic load effects and the attendant response of offshore structures under extreme environments and service loads. He has also contributed to a wide range of topics in the areas of offshore dynamics.^[37]

He introduced the use of the Wavelet^[38][39][40] and Shapelet^[41] transforms to signal processing and feature extractions and advanced the use of Volterra systems, POD, ICA, PCA and DMD^[42][43] for data analysis and modeling.  He developed efficient simulation schemes for random vector processes: stationary/non-stationary; Gaussian/Non-Gaussian; Conditional/Un-Conditional utilizing spectral and time-series methods in conjunction with a novel scheme named “Stochastic Decomposition.^[44][45] He developed wind load models for non-synoptic winds like thunderstorms and downbursts and introduced the concept of Gust Front Factor^[46][47] and also developed models for hurricane wind field kinematics and dynamics.^[48][49] He developed safety and risk assessment schemes,^[50] performance-based design approach for wind effects and impact of climate change.^[51] In the area of Data Analytics and Machine Learning, he has contributed to data analytics, supervised, unsupervised and reinforcement learning; Bayesian Deep Convolution Neural Networks for random fields; Bayesian Deep learning; Dynamic Mode Decomposition; Surrogate Modeling with applications to structural engineering and dynamic loading; Digital Virtual Twins;  Fusion of CFD, Stochastics, Machine Learning and beyond; Autonomous morphing of structures through sensing, computations and actuation.^{[52][53][54][55][56][57][58]}

In 2009, Kareem was elected a member of the National Academy of Engineering for contributions to analyses and designs to account for wind effects on tall buildings, long-span bridges, and other structures. He currently serves as the President of the International Association for Wind Engineering. He was also the former President of the American Association for Wind Engineering.^[59][60]

Awards and honors

References