Dr. Adnan N. Qureshi

Dr. Adnan N. Qureshi

Dr. Adnan N. Qureshi



PhD (Philosophy) 2015. Institute for Research in Applicable Computing, University of Bedfordshire, Luton, UK.
MBA 2002. Human Resource Management, Iqra University, Karachi, Pakistan.
MS (Computer Science) 1998,  The National College, Lahore, Pakistan.
BS (Medicine and Surgery) 1997. King Edward Medical College, Lahore, Pakistan.


April 2016 to Date
Assistant Professor and Director of Research,
Faculty of IT, University of Central Punjab, Lahore, Pakistan.  
As Assistant Professor, my major responsibilities include:

  • Teaching undergraduate and postgraduate computer science courses.
  • Preparing, administering and marking the exams, quizzes and lab assignments to

evaluate students’ progress.

  • Advising undergraduate and postgraduate students on program curricula, course

selection, dissertations, theses and career decisions.
As Director of Research, my major responsibilities include:

  • Head of Centre for Healthcare Modelling and Informatics. Working on:

o  Non-invasive assessment of fracture healing in long bones using acoustic
o  Non-invasive  estimation  of  bone  density  in  osteoporotic  patients  using
acoustic conduction.
o  Non-invasive estimation of intra-ocular pressure.
o  Automatic  assessment  and  quantification  of  haematomas  in  traumatic
brain injury patients.
o  Estimation of myocardial thickness in CT thorax.
o  Detection and quantification of arrhythmia using pulse oximeter.

  • Supervising  and  coordinating   research   activities   in  Centre   for  Robotics   & Security, Centre for Game Design and Centre for Learning Design.
  • Preparing proposals for research funding opportunities.
  • Liaise between heads of research centres and industry professionals.
  • Planning,   designing   and   preparing   coursework   for   blended   learning   based

pedagogy within the Faculty.
October 2013 to November 2015 Research Assistant (part-time), CCGV University of Bedfordshire, Luton, UK.  
MyHealthAvatar  project  entails  development  of  a  4D  Digital  Avatar  Representation
for Access to Long-Term Health Status Information, EC, FP7-ICT, grant agreement no:

  1. 600929. As a researcher, my major responsibilities include:
  • Researching and analysing clinical models which incorporate users’ clinical data and lifestyle  attributes  to  identify  risk  groups  amongst  patients  of  common ailments  such  as cardiac  diseases,  diabetes,  glaucoma  and stroke  etc.  and to predict the occurrence of clinically significant events.
  • Design and  development  of  image  segmentation  techniques  to  be  used  in intracranial  haemorrhages  and  tumours.  These  methods  provide  demarcation and measurements of the regions of interest within the medical images to assist the doctors in assessing patients’ condition and treatment outcomes.
  • Manual  annotation  and  computer  aided  segmentation  of  nephroblastoma  MRI

cases in CHIC project (FP7 grant agreement No. 600841).
October 2015 to November 2015 and January 2015 to May 2015
Visiting Lecturer, CATS Faculty University of Bedfordshire, Luton, UK.
Teaching ‘Concepts and Technologies of Artificial Intelligence’ to undergraduate students
and supervising practical sessions.
October 2012 to June 2014
Lab Demonstrator (part-time), CATS Faculty University of Bedfordshire, Luton, Bedfordshire, UK.  
Major responsibilities included:

  • Demonstrating lab work of assigned courses to students
  • Providing  guidance   to  students   on  programming   skills  using  PROLOG   and MATLAB for artificial intelligence, computer vision and object recognition.

October 2012 to March 2013 and April 2012 to May 2012
PADPAL (parttime),
University of Bedfordshire, Luton, Bedfordshire, UK.  
Major responsibilities included:

  • Providing peer assistance to students having difficulties in studies
  • Providing  guidance  to  students  on  core  academic  skills  like  reading,  writing,

referencing and avoiding plagiarism, presentation skills and preparing for exams.
Oct. 2004 to Dec. 2011
Assistant Professor and Head of Department of Computer Science, University of South Asia, Lahore, Pakistan.  
Major responsibilities included:

  • Designing  of  curricula  and  standardisation  of  course  outlines  of  bachelors  and

masters of computer science, IT and telecommunication programs

  • Chairperson, Board of Faculty of Computer Science
  • Member, Academic Council and Board of Advanced Studies
  • Member,  Selection  Board  for  recruitment  and  management  of  permanent  and

visiting members of faculty of computer science & IT

  • Advising students on program curricula and career decisions


  • Internal Advisor and supervisor for final projects/ dissertations of bachelors and masters of computer  science  & IT students,  directing  research  programs  and advising students on research matters
  • Teaching advanced computer science courses to bachelors and masters classes
  • Preparing, administering and marking the tests and papers to evaluate students’


  • Designing of Computing, Multimedia and Hardware labs
  • Arranging academic seminars for computer science & IT students
  • Liaison Officer for Joint Higher Education Program  between UK and Pakistan’s Higher Education Commission (HEC)
  • Member,   Editorial   Board,   Pakistan   Journal   of   Research   Updates,   published

quarterly by The Academy of Research in Science, Lahore, Pakistan
Nov. 2000 to Sept. 2004
Assistant Professor / Head of Department, Computer Science & IT, Iqra University, Lahore Campus, Pakistan.
Major responsibilities included:

  • Designing   of   curricula   for   undergraduate   and   postgraduate   programs   of

computer science & IT

  • Recruitment,   selection   and   management   of   permanent   and   visiting   faculty

members of computer science & IT

  • Teaching   and   evaluating   advanced   programming   and   software   engineering


  • Internal  Advisor  for  final  projects/  dissertations  of  bachelors  and  masters  of

computer science & IT students

  • Program Manager for BTEC HND Computing and Telecommunication programs
  • Designing of Computing and Hardware labs
  • Preparation of term budget of the Department
  • Preparation of marketing plans and strategies
  • Arranging academic seminars for computer science & IT students
  • Project manager of the University web site
  • Head of the Disciplinary Committee

June 1999 to Oct. 2000
Lecturer, Department of Computer Science,
        Askari College, Lahore, Pakistan.
Major responsibilities included:

  • Designing of courser outlines of bachelors of computer science program
  • Teaching and evaluating intermediate and advanced programming, and software

engineering courses

  • Preparation of term budget of the Department
  • Arranging academic seminars for computer science & IT students
  • Head of purchase committee for library and labs
  • Supervisor of Music Society
  • Supervisor of extracurricular activities

Jan. 1999 to May 1999
Lecturer, Department of Computer Science, Govt. College of Science, Lahore, Pakistan
Nov. 1997 to Dec. 1998
Demonstrator, Department of Biochemistry, King Edward Medical College, Lahore.

Project Management and Development

June 2007 Date
Consultant Project Manager/ Senior Software Architect, Little Rhino Productions, Lahore, Pakistan.
Feb. 2000 to June 2007
Consultant Systems Analyst, Multi Core Software, Lahore, Pakistan.
Jan. 1997 to March 1999
Team Lead/ System Designer,
Association of System Designers, Lahore, Pakistan.

Achievements and Awards

Dean’s Scholarship, academic year 2013-14
University of Bedfordshire, UK.
Dean’s Scholarship, academic year 2012-13
University of Bedfordshire, UK.

Master of Computer Science – Gold Medal, 1998
The National College, Lahore, Pakistan.

  • For Securing 1st Position amongst 200 MCS candidates.

President’s National Talent Scholarship, 1991 – 1997
King Edward Medical College, Lahore, Pakistan.

  • The merit based scholarship is granted to the top ten students of the College throughout their undergraduate studies.

Dr. K. C. Chatterji Gold Medal, 1991
Forman Christian College, Lahore, Pakistan.

  • For  Securing  First  Position  amongst  the  600  college  candidates   in  the Intermediate examination.

Silver Medal, 1991
Board of Intermediate & Secondary Education, Lahore, Pakistan.

  • For  Securing  3rd  Position  amongst  more  than  100,000  candidates  in  the Intermediate examination and 1st Position in the Pre-Medical Group.

Participation Certificate, 1990
The   Summer   School   in   Science   for   Talented   Students   of   Intermediate  Classes organized by Board of Intermediate & Secondary Education, Lahore, Pakistan.

  • The workshop/ Summer school was arranged by the Board of Intermediate and Secondary  Education,  Lahore,  and had over  40  participants  from  the leading  institutions  of  province  of  Punjab,  Pakistan.  The  certificate  was awarded in recognition of participation and presentation of a concept paper on “Nano Machines and Biotechnology”.


  • Qureshi, A. N. & Schetinin, V. (2013). Helping clinicians to read brain scans. University of Bedfordshire Research Conference 2013, Bedfordshire, UK.
  • Maple, C., Prakash, E., Huang, W., & Qureshi, A. N. (2014). Taxonomy of optimisation techniques and applications. International Journal of Computer Applications in Technology, 49(3):251-262.
  • Qureshi, A. N. & Schetinin, V. (2014). Computer-aided segmentation and estimation of indices in brain CT scans. Medical Image Understanding and Analysis 2014, City University London, pp. 161-166.
  • Soltaninejad, M., Lambrou, T., Qureshi, A. N., Allinson, N. & Ye, X. (2014). A hybrid method for haemorrhage segmentation in trauma brain CT. Medical Image Understanding and Analysis 2014, City University London, pp. 99-104.
  • Qureshi, A. N. (2014). A framework for segmentation and estimation of intracranial measurements in CT scans. In Biomedical Engineering Conference (CIBEC), 2014 Cairo International, pp. 129-132, IEEE.
  • Qureshi, A. N. (2015). Semi-automated Classification of CT Scans in Traumatic Brain Injury Patients. International Journal of Computer Applications, 113(9):1-8.


Optimization of Active Contours
Ph.D. Thesis, implemented in Matlab
The problems  of under-  or over-segmentation  by active  contours  in brain CT scans occur mainly due to low contrast edges within the parenchyma, pathologies and traumatic manifestations.  The  proposed  approach  uses  cognitive  polyrepresentation  of  clinical  and image data, feedforward backpropagation artificial neural networks and anisotropic contrast enhancement  to automatically  seed the initial contour and then regulate  the internal and eternal image energies to optimize the evolution of the active contours without edges.  The applicability  of  the  approach  on  segmentation  of  intracranial  haematomas  is  evaluated against the experts’ intuition and Jaccard Similarity Index of >0.87 is achieved.
Automated Estimation of Brain Ratios and Indices on Axial CT Scans
Research Publication, implemented in Matlab
Linear  measurements  on  brain  CT  scans  provide  clinicians  and  surgeons  opportunity  to estimate clinically significant ratios and indices. The automated algorithm, using feedforward backpropagation artificial neural networks and modified active contours, estimates these on the input axial CT slices with an Intraclass Correlation Coefficient (ICC) of > 0.97. Integration of   automated   systems   in   clinical   and   research   settings   can   significantly   reduce   the radiologists’ workload and inter-observer and intra-observer variability.
Realtime Registration of Medical Images
Role Principal Investigator, Algorithm Designer
The surgical  planning  is usually  performed  on pre-surgical  medical  images  (CT). However, during the surgery, the effects of gravity and surgeon’s intervention can displace the region of interest. The system performs a real-time registration of the pre-surgical medical images (CT)  with  the  ultrasound  images  during  surgery  to  assist  the  surgeon  in  accessing  the planned  region  of  interest   with  minimal  damage  to  surrounding   viscera  and  tissues. Evaluation of algorithm, designed in Matlab with GPU acceleration for real-time registration, is being done for brain and abdominal surgery.
Estimation of Size of Infarction and Hypertrophic Changes in Cardiac MRI
Role Principal Investigator, Algorithm Designer
The cardiac MRI cine sequences  present the physicians  with significant  information  about the  myocardium.  The  system  analyses  the  thickness  of chamber  walls  and  identifies  any infarction  using  modified  active  contours.  The  measurements  also  provide  analyses  of hypertrophic changes and any septal defects. Implementation is in Matlab.
Safe Campus Surveillance using Drones
Role CoInvestigator, Algorithm Designer (computer vision and machine learning)
The system comprises of autonomous drones capable of segmentation, recognition and identification  of personnel within the given perimeter. The video streams from the drones are centrally analysed using image processing and machine learning with Gabor Wavelets, HOG and HAAR Wavelets as pertinent features and feedforward backpropagation  ANN and PCA for pattern matching. Motion estimation is achieved through Lucas-Kanade method and Kalman   Filters,   once  the  subject   is  identified.   The  flight   control   is  then  accordingly transmitted  to  the  ASIC  in  drones  to  follow  unidentified  persons.  The  research  is  being carried out on DGI Phantom 4, ERLE and 3DR Solo drones. Implementation is in Matlab, C++, OpenCV  and  ROS  with  respective  SDK’s.  GPU  acceleration  is  also  being  evaluated  for enhanced efficiency using nVidia CUDA library.
Hypermedia based English language Assessment and Learning (HEAL)
Role Project Director, Algorithm Designer (machine learning), Technical TeamLead
The  challenges  faced  by  the  L2  learners  of  English  language  arise  from  the  intricacies concurrent  with the absorption  of meta-linguistic  skills such as rules of syntax,  grammar, vocabulary  and  morphology,  limited  practice  time,  lack  of  teachers’  attention,  introversion
or shyness of learners in the presence of their peers and delivering identical course contents to pupils in the same class but with different  levels of language  proficiency.  The adaptive algorithm  uses  machine  learning  to  classify  the  students  based  on  their  demographic, cognitive,    learning   and   knowledge    profiles   and   presents   them   with   personalized, hypermedia content. The ubiquitous system is adaptable for applicability in school, college and undergraduate courses of English. Development platform is PHP, Java and Matlab.
Student Information Management System (SMS Based)
Role Project Manager, Software Architect, Designer
The  system  is  a  three-tiered  Web  Application  developed  using  MS  C#.Net  and  MS  SQL Server. The system is capable of push and pull notifications using SMS service on GSM. The Setup is a grid of 12 workstations each connected to 4 GSM modules, and a central server running the database server.
Learning Management System
Role Project Manager, Software Architect,  
The  system  is  a  three-tiered  Web  Application  developed  using  MS  C#.Net  and  MS  SQL Server. The system is capable of handling tasks ranging from online information about the courses to scheduling of lectures and human resource management.  The reporting engine can provide comprehensive reports of students’ transcripts, attendance and class schedules. The system is administered through a Content Management System (CMS).
Electronic Health Records Management System
Role Project Manager/ Designer,  
This comprehensive  Patient Care System provides complete  resource planning, scheduling and distribution across different departments within a medical facility starting from patient registration till the discharge slip is printed. Implemented in C#.
Inventory Control System with POS (CMS Based)
Role Project Manager, Software Architect,
The  system  is  a  three-tiered  Web  Application  developed  using  MS  C#.Net  and  MS  SQL Server.  Being  an  online  application,  it  requires  only  thin  clients  and  can  be  configured through CMS to cater for a small to medium sized company. The system is flexible to handle multiple   categories   and   variations   of   products   and   it   is   administered    through   a comprehensive Content Management System (CMS).

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