About Us

Computational modeling helps to represent and augment our understanding of the world around us. With the passage of time the world is becoming more and more complex place to live. The key scientific and technological objectives of the ACM Lab are to design, analyze, and validate an agent-based model, namely humanistic driver agent (HDA), entailing cognition and behavior of human driver by using agent-based modeling techniques and human-based experiments. Recently, computational modeling and simulations has emerged as a third way of doing scientific study besides induction and deduction. Computational modeling is to represent and augment our understanding of the world around us. With the passage of time, the world is becoming more and more complex place, to live. To deal with this complexity, we are building systems that are in fact leading to a further increase in the complexity of the world.

Research Areas

Ground Surveillance

Our multi-camera object tracking tracks an individual/vehicle using multiple cameras, i.e., the identity of the person/vehicle has to be retrieved from the second camera based on the information obtained from the first camera. 

Aerial Surveillance

Our aim is to develop drones that detect and track objects, in particular, persons and vehicles both during day and night with the aid of optical/infrared sensors

Data Surveillance

As we know, monitoring of telephone calls and handwritten letters is expensive and labour intensive. Automation of these tasks can reduce the staffing requirement, reliance on human vigilance and allowing quick response.



The challenge of understanding transportations dynamics could not be dealt without being addressed on multiple levels through cross disciplinary research and development. Computational artifact would be designed that would be able to represent and learn a human driver's behavior and reproduce his/her behavior in different scenarios


Human drivers may face many challenging situations while driving which could not be produced on real roads however such situation could be modeled in virtual environment. Training and assessment of drivers can also be provided by developing virtual reality powered driving training and assessment infrastructure.


The VTS would include a scenario building tool for domain experts.VTS could be used in an integrated manner to build and experiment novel traffic infrastructures and policies.Readily usable vts tool for various decision-making purposes in the process of public policy making.


Driving is a safety critical task that requires a high level of attention and workload from the driver. In this project, a driver support infrastructure would be developed that would augment sources of information with intelligent computational supports to make a driver's task more convenient, risk free, cost effective and informative.

Our Team

Dr. Syed Waqar ul Qounain Jaffry


 PhD in Computer Science (Vrije University, Amsterdam, The Netherlands)
Expert in Computational Modelling, Artificial Intelligence, Data Mining and Machine Learning, Multi-Agent Systems.  Email:       

Dr. Shahzad Sarwar


 PhD in Electrical Engineering and IT, Vienna University of Technology Austria, 2008
Expert in Computer Networks, Topics in Internet Research, Optical Communications, Performance Modeling.

Dr. Muhammad Murtaza Yousaf


PhD in Computer Science, University of Innsbruck, Austria, 2008
Expert in Computer Networks, Distributed and Parallel Systems, Data
Structures, Automata Theory. Email:

Mian Muhammad Mubasher


 PhD in Computer Science (In progress) PUCIT 
 Expert in Ambient Intelligence, Computational Modeling, , Mobile Computing, Computational Modeling, Artificial Intelligence. Email:

Husnain Haider


Muhammad Furqan Khan



Waqar Hussain


Abdullah Mansoor


Aqsa Chaudary



Muhammad Afzaal


Usama Hasan


Wajiha Batool