Smart and Connected World

As the world is becoming more interconnected, and embedded computing devices, e.g. as in the Internet of Things, an intelligent computing and communication network is emerging. To run this new connected electronic world, ECE members are developing smart algorithms for the next generation infrastructure.


Headshot of ​​​​​​​Shamsnaz S. Virani

                Shamsnaz S. Virani

                ​​​​​​​Assistant Professor

Systems Modeling and Engineering Research Lab (SMERL)

The Systems Modeling and Engineering Research Laboratory (SMERL) focuses on two key research areas –

1.Policy Modeling

2.Model based Safety Analysis for complex systems

We primarily work on – 1) Building evidence-based policy analysis and demonstrating the value of using systems engineering methods in policy design, development and implementation, and 2) Leveraging model based systems engineering to integrate system design with safety analysis and automate the generation of safety artifacts.

Research Areas:

  • Model Based Systems Engineering
  • Policy Modeling


  • Model Based System Safety


Headshot of Sergey Makarov

                Sergey Makarov


Center for Bioelectromagentic Modeling & Design

Our research (jointly with Mass General Hospital, A. A. Martinos Ctr. for Biomed. Imaging) is in bioelectromagnetics of the brain in application to neurostimulation and neurophysiological recordings. It includes both computational modeling at mesoscale and multiscale, and experiment.

Research Areas:

  • Boundary element fast multipole method (BEM-FMM)
  • Modeling transcranial magnetic and electrical stimulation, experiment
  • Modeling EEG &MEG. Experiment
  • Modeling microwave imaging, experiment


Headshot of ​​​​​​​Kaveh Pahlavan

                Kaveh Pahlavan


Center for Wireless Information Network Studies

Established in 1985 as the world's first academic research program in wireless indoor networks, the Center for Wireless Information Network Studies (CWINS) is a renowned wireless research laboratory focused on development of cyberspace applications based on multipath RF propagation characteristics of the indoor radio channel.

Research Areas:

  • Intelligent Spectrum Monitoring for 5G and Beyond


  • Cyberspace Applications with RF Cloud
  • Indoor Geolocation Science and Technology


Headshot of ​​​​​​​Alexander Wyglinski

                Alexander Wyglinski

                Associate Dean of Graduate                 ​​​​​​​              ​​​​​​​Studies


Wireless Innovation Lab

The Wireless Innovation Laboratory (WILab) conducts fundamental and applied research in wireless communication systems engineering and vehicular technology. Consisting of over 1500 sq ft of prime research space as well as state-of-the-art software tool and experimentation equipment, this facility focuses on devising new solutions and new knowledge in the areas of cognitive radio, 5G/6G, connected vehicles, software-defined radio, autonomous vehicles, spectrum coexistence, vehicular security, prototype wireless systems, satellite communications, millimeter wave communications, and GPS/GNSS. WILab has been extensively funded via numerous sponsors from both government and industry, including the National Science Foundation, MathWorks, Office of Naval Research, Toyota InfoTechnology Center USA, and the MITRE Corporation.

Research Areas:

  • Cognitive Radio
  • 5G/6G
  • Connected Vehicles
  • Software-defined Radio
  • Autonomous Vehicles
  • Spectrum Coexistence
  • Vehicular Security
  • Prototype Wireless Systems
  • Satellite Communications
  • Millimeter Wave Communications


Headshot of Bashima Islam

                Bashima Islam

                Assistant Professor


Bringing Awareness through Systems for Humans (BASH) Lab

The Bringing Awareness through Systems for Humans Lab (BASH Lab) focuses on understanding and enhancing the usability, intelligence, and processing capabilities of tiny low-power edge computing devices to realize their full potential in our daily lives.

We aim to develop a new set of artificially intelligent edge computers that provide sustainable and scalable sensing solutions in various application domains ranging from health wearable to environment monitoring.

Research Areas:

  • Machine Learning
  • Mobile and Ubiquitous Computing
  • Embedded and Sensor Systems
  • Cyber-Physical systems