Dr. Zahid Halim

zahid.halim@giki.edu.pk
Ext: 2263

Dr. Zahid Halim

Associate Professor (HEC Approved PhD Supervisor)

Qualifications: Ph.D. Computer Science – Computational Intelligence (2010)
Research Interests: Data Science, Machine learning and Data Mining, Intelligent Transportation Systems, Computational Intelligence

Brief

Dr. Zahid Halim holds his basic degree in Computer Science from the Department of Computer Science, University of Peshawar (2004). He holds MS degree in Computer Science from the National University of Computer and Emerging Sciences, Islamabad (2007). He is a proud Pakistani  Ph.D., who earned his Ph.D. degree from the National University of Computer and Emerging Sciences, Islamabad (2010). His Ph.D. degree was sponsored by the Foundation for Advancement of Science and Technology (FAST) under the faculty development program. During doctoral research, he worked in the domain of Computational Intelligence with the uncertain gaming environments as the test bed. Until the year 2012, he was the youngest indigenously produced Ph.D. in computer science by the country.

Prior to joining GIKI, Dr. Halim was affiliated with the National University of Computer and Emerging Sciences, Islamabad. Before joining academia, he was with Techlogix, Pakistan Pvt. (Limited) as a Software Engineer, where he worked on technologies like, PeopleSoft, IBM Lotus Workflow, and IBM Cognos. He has hands-on experience in providing e-Services-based IT solutions to enterprises. Dr. Halim is an active researcher and has several research publications, including those published in key conferences and journals of high repute. So far, he has produced one Ph.D. and 14 MS graduates. He is also a PEC certified trainer on OBE/OBA and is regularly invited as a resource person at HEC-QAA and top national universities. Dr. Halim is leading the Machine Intelligence Research Group at GIKI where numerous graduate students and undergraduate groups are working under his supervision in the domain of Data Science, Machine Learning and Data Mining, Intelligent Transportation Systems, and Affective Computing. Dr. Halim has received Training in Human Subjects Protection from the Virginia Tech.

He is a recipient of the prestigious Research Productively Award-2017 from the Pakistan Council of Science and Technology. He has also received the 6th HEC Outstanding Research Award 2015-2016 in best research paper category. For his academic performance in the year 2016, he has received the HEC Best University Teacher Award (BUTA)-2016. In addition to the abovementioned three national awards, Dr. Halim has received an intra university award, i.e., GIK Research Award for the year 2016 and secured 1st rank.

 

Research Interests

Data Science
Machine Learning and Data Mining [Probabilistic/Uncertain data mining, Graph mining]
Intelligent Transportation Systems
Computational Intelligence [Evolutionary Computation, Artificial Neural Networks]
Applications of Computational Intelligence in Games [Content generations, Enhancing user experience]

 

Awards

Representative Publications

Conference Publications Journal Publications Total Publications Cumulative Impact Factor
21 69 90 337.846

Journal articles published as first author: 28 (i.e., 40.00%)

Journal articles published as first three authors: 50 (i.e., 71.43%)

Journal articles published as corresponding author: 49 (i.e., 70.00%)

 

Link to Google Scholar profile

JCR Quartile Percentage of articles in each quartile
Q1 41.18%
Q2 19.61%
Q3 23.53%
Q4 5.88%

 

HEC JRS Medallion Category wise percentage of articles
Platinum 27.45%
Gold 5.88%
Silver 11.76%
Bronze 29.41%
Honorable mention 1.96%
Clay 9.80%

Forthcoming

  • Z. Halim, M. Sulaiman, M. Waqas, and D. Aydın, “Deep neural network-based identification of driving risk utilizing driver dependent vehicle driving features: a scheme for critical infrastructure protection,” Journal of Ambient Intelligence and Humanized Computing, Vol. –, pp. –, 202-. [ISSN: 1868-5145, Thomson Reuters JCR 2022, Impact factor 3.662, Springer] Download

  • E. Elahi and Z Halim, “Graph Attention-based Collaborative filtering for user-specific recommender system using knowledge graph and deep neural networks,” Knowledge and Information Systems, Vol. –, pp. –, 202-. [ISSN: 0219-3116, Thomson Reuters JCR 2022, Impact factor 2.531, Springer] Download

  • A. Rahman, A. Tubaishat, F. Al-Obeidat, Z Halim, M. Tahir, and F. Qayum,”Extended ICA and M-CSP with BiLSTM towards improved classification of EEG signals”, Soft Computing, vol. –, pp. –, 202-. [ISSN: 1433-7479, Thomson Reuters JCR 2022, Impact factor 3.732, Springer, Q2] – [HEC JRS Medallion= Bronze]-link

  • A. Rahman and Z Halim, “Predicting the big five personality traits from hand-written text features through semi-supervised learning”, Multimedia Tools and Applications, vol. –, pp. –, 202-. [ISSN: 1380-7501, Thomson Reuters JCR 2022, Impact factor 2.577, Springer, Q2] – in press [HEC JRS Medallion= Bronze]-Download

  • A. Rahman and Z Halim, “Identifying dominant emotional state using handwriting and drawing samples by fusing features,” Applied Intelligence, Vol. –, No. –, pp. –, 202-. [ISSN: 0924-669X, Thomson Reuters JCR 2022, Impact factor 5.019, Springer] Download

  • Aadam, A Tubaishat, F. Al-Obeidat, Z Halim, M. Waqas, and F. Qayum,”EmoPercept: EEG-Based Emotion Classification through Perceiver”, Soft Computing, vol. –, pp. –, 202-. [ISSN: 1433-7479, Thomson Reuters JCR 2022, Impact factor 3.732, Springer, Q2] – [HEC JRS Medallion= Bronze]-link

  • M. Tahir, A. Tubaishat, F. Al-Obeidat, B. Shah, Z. Halim, M. Waqas, “A novel binary chaotic genetic algorithm for feature selection and its utility in affective computing and healthcare,” Neural Computing and Applications, vol. –, 202-. [ISSN: 1433-3058, Thomson Reuters JCR 2022, Impact factor 5.102, Springer, Q1] – in press [HEC JRS Medallion= Silver]-link

  • Uzma, F. Al-Obeidat, A. Tubaishat, B. Shah, Z. Halim, “Gene encoder: a feature selection technique through unsupervised deep learning-based clustering for large gene expression data,” Neural Computing and Applications, vol. –, 202-. [ISSN: 1433-3058, Thomson Reuters JCR 2022, Impact factor 5.102, Springer, Q1] – in press [HEC JRS Medallion= Silver]-link

Journal

  • Z. Halim, S. Hussain, R.H. Ali, “Identifying content unaware features influencing popularity of videos on YouTube: A study based on seven regions,” Expert Systems With Applications, vol. 206, pp. 117836, 2022. [ISSN: 0957-4174, Thomson Reuters JCR 2022, Impact factor 8.665, Elsevier, Q1] – [HEC JRS Medallion= Platinum]-Download
  • A. Rahman and Z Halim, “A graph-based solution for writer identification from handwritten text,” Knowledge and Information Systems, Vol. 64, pp. 1501–1523, 2022. [ISSN: 0219-3116, Thomson Reuters JCR 2022, Impact factor 2.531, Springer] Download

  • M. Waqas, S. Tu, Z. Halim, S. Rehman, G. Abbas, and Z. Abbas , “The role of artificial intelligence and machine learning in wireless networks security: principle, practice and challenges,” Artificial Intelligence Review, Vol. –, No. –, pp. –, 202-. [ISSN: 0269-2821, Thomson Reuters JCR 2022, Impact factor 9.588, Springer] Download

  • H. Ashraf, B. Shah, A.M. Soomro, Q. Safdar, Z. Halim, S.K. Shah, “Ambient-noise Free Generation of Clean Underwater Ship Engine Audios from Hydrophones using Generative Adversarial Networks,” Computers and Electrical Engineering, vol. 100, pp. 107970, 2022. [ISSN: 0045-7906, Thomson Reuters JCR 2022, Impact factor 4.152, Elsevier] – [HEC JRS Medallion= Platinum]-Download

  • S. Tu, M. Waqas, S.U. Rehman, T. Mir, Z. Halim, I. Ahmad, “Social Phenomena and Fog Computing Networks: A Novel Perspective for Future Networks”, IEEE Transactions on Computational Social Systems. Vol. 09, No. 01, pp. 32-44, 2022. [ISSN: 2329-924X, Thomson Reuters JCR 2022, Impact factor 4.747, IEEE] – in press [HEC JRS Medallion= Bronze]-link

  • M. Tahir, Z. Halim, A. Rahman, M. Waqas, S. Tu, S. Chen, Z. Han, “Non-Acted Text and Keystrokes Database and Learning Methods to Recognize Emotions,” ACM Transactions on Multimedia Computing Communications and Applications, vol. 18, No. 02, pp. 1-24, 2022. [ISSN: 1551-6857, Thomson Reuters JCR 2022, Impact factor 4.094, ACM, Q2] – in press [HEC JRS Medallion= Bronze]-link

  • Z. Halim, A. Khan, M. Sulaiman, S. Anwar, and M. Nawaz, “On finding optimum commuting path in a road network: A computational approach for smart city traveling,” Transactions on Emerging Telecommunications Technologies, Vol. 33, No. 01, 2021. [ISSN: 2161-3915, Thomson Reuters JCR 2022, Impact factor 3.310, Wiely, Q3] – [HEC JRS Medallion= Bronze]-link
  • T. Zhang, M. Waqas, Z. Liu, S. Tu, Z. Halim, S. Rehman, Y. Li, and Z. Han, “A Fusing Framework of Shortcut Convolutional Neural Networks,” Information Sciences, Vol. 579, 2021, pp. 685-699. [ISSN: 0020-0255, Thomson Reuters JCR 2022, Impact factor 8.233, Elsevier, Q1] – [HEC JRS Medallion= Platinum]-link

  • S. Iqbal and Z. Halim, “Orienting Conflicted Graph Edges Using Genetic Algorithms to Discover Pathways in Protein-Protein Interaction Networks,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 18, Issue 5, pp. 1970-1985, 2021. [ISSN: 1557-9964, Thomson Reuters JCR 2022, Impact factor 3.702, IEEE, Q1] – in press [HEC JRS Medallion= Silver]-link

  • M. Asad, Z. Halim, M. Waqas, S. Tu, “An In-ad contents-based viewability prediction framework using Artificial Intelligence for Web Ads ,” Artificial Intelligence Review, Vol. 54, pp. 5095–5125, 2021. [ISSN: 0269-2821, Thomson Reuters JCR 2022, Impact factor 9.588, Springer, Q1] – [HEC JRS Medallion= Platinum/Gold]-link

  • Uzma and Z. Halim, “An ensemble filter-based heuristic approach for cancerous gene expression classification”, Knowledge-Based Systems, vol. 234, pp. 107560, 2021. [ISSN: 0950-7051, Thomson Reuters JCR 2022, Impact factor 8.139, Elsevier, Q1] – [HEC JRS Medallion= Platinum]-link

  • Z. Halim, R.U.A. Khan, M. Waqas, S. Tu, “Utilizing 3D joints data extracted through depth camera to train classifiers for identifying suicide bomber,” Expert Systems With Applications, vol. 179, pp. 115081, 2021. [ISSN: 0957-4174, Thomson Reuters JCR 2022, Impact factor 8.665, Elsevier, Q1] – [HEC JRS Medallion= Platinum]-link
  • H. Yu, Z. Yang, M. Waqas, S. Tu, Z. Han, Z. Halim, R.O. Sinnott, U. Parampalli, “Efficient dynamic multi-replica auditing for the cloud with geographic location,” Future Generation Computer Systems, Vol. 125, pp. 285-298, 2021. [ISSN: 0167-739X, Thomson Reuters JCR 2022, Impact factor 7.307, Elsevier, Q1]-[HEC JRS Medallion= Platinum]-link
  • Z. Halim, O. Ali, and G. Khan, “On the Efficient Representation of Datasets as Graphs to Mine Maximal Frequent Itemsets,” IEEE Transactions on Knowledge and Data Engineering, Vol. 33, No. 04, pp. 1674–1691, 2021. [ISSN: 1041-4347, Thomson Reuters JCR 2022, Impact factor 9.235, IEEE, Q1] [HEC JRS Medallion= Platinum]-link
  • S. Tu. M. Waqas, S. Rehman, T. Mir, G. Abbas, Z. Abbas, Z. Halim, and I Ahmad, “Reinforcement Learning Assisted Impersonation Attack Detection in Device-to-Device Communications”, IEEE Transactions on Vehicular Technology, Vol. 70, No. 02, pp. 1474 – 1479, 2021. [ISSN: 0018-9545, Thomson Reuters JCR 2022, Impact factor 6.239, IEEE, Q1] – in press [HEC JRS Medallion= Platinum]-link
  • S. Ullah, Z. Halim, “Imagined character recognition through EEG signals using deep convolutional neural network,” Medical & Biological Engineering & Computing , vol. 59, pp. 1167–1183, 2021. [ISSN: 1741-0444, Thomson Reuters JCR 2022, Impact factor 3.079, Springer, Q2] – [HEC JRS Medallion= Bronze]-link
  • Z. Halim, H. M. Sargana, Aadam, Uzma, and M. Waqas, “Clustering of Graphs Using Pseudo-Guided Random Walk,” Journal of Computational Science, Vol. 21,, pp. 101281, 2021. [ISSN: 1877-7503, Thomson Reuters JCR 2022, Impact factor 3.817, Elsevier, Q2] – in press [HEC JRS Medallion= Bronze]-link
  • M. Sulaiman, Z. Halim, M. Waqas, and D. Aydın, “A Hybrid List-based Task Scheduling Scheme for Heterogeneous Computing,” Journal of Supercomputing, Vol. 77, pp. 10252–10288, 2021. [ISSN: 0920-8542, Thomson Reuters JCR 2022, Impact factor 2.557, Springer, Q2] – [HEC JRS Medallion= Bronze]-link
  • M. Sulaiman, Z. Halim, M. Lebbah, M. Waqas, and S. Tu, “An evolutionary computing-based efficient hybrid task scheduling approach for heterogeneous computing environment,” Journal of Grid Computing, Vol. 19, pp. 1-31, 2021. [ISSN: 1570-7873, Thomson Reuters JCR 2022, Impact factor 4.674, Springer, Q2] – [HEC JRS Medallion= Bronze]-link
  • M.A. Islam, M.A. Iqbal, M. Aleem, Z. Halim, G. Srivastava, and J.C. Lin, “Evaluation of Congestion Aware Social Metrics for Centrality-based Routing”, Wireless Communications and Mobile Computing. Vol. 2021, pp. 1-14 2021. [ISSN: 1530-8669, Thomson Reuters JCR 2022, Impact factor 2.146, Wiley] – in press [HEC JRS Medallion= Bronze]-link
  • Z. Halim, M. Waqar, M. Tahir, “A machine learning-based investigation utilizing the in-text features for the identification of dominant emotion in an email,” Knowledge-Based Systems, vol. 208, pp. 106443, 2021. [ISSN: 0950-7051, Thomson Reuters JCR 2022, Impact factor 8.139, Elsevier, Q1] – [HEC JRS Medallion= Platinum]-link
  • S. Anwar, B. Mehraban, M. Ali, F. Hussain, and Z. Halim, “A Novel Framework For Generating Handwritten Datasets”, Multimedia Tools and Applications, vol. 80, pp. 9657–9669, 2021. [ISSN: 1380-7501, Thomson Reuters JCR 2022, Impact factor 2.577, Springer, Q2] – in press [HEC JRS Medallion= Bronze]-link
  • Uzma, Z. Halim, “Optimizing the DNA fragment assembly using metaheuristic-based overlap layout consensus approach,” Applied Soft Computing, Vol. 92, pp. 106256, 2020. [ISSN: 1568-4946, Thomson Reuters JCR 2022, Impact factor 8.263, Elsevier, Q1]- [HEC JRS Medallion= Platinum]-link
  • A. Rashid, M.A. Zeb, A. Rashid, S. Anwar, F. Joaquim, and Z. Halim, “Conceptualization of smartphone usage and feature preferences among various demographics,” Cluster Computing, Vol. 23, pp. 1855–1873, 2020. [ISSN: 1386-7857, Thomson Reuters JCR 2022, Impact factor 2.303, Springer, Q1] – [HEC JRS Medallion= Bronze]-link
  • S. Tu, M. Waqasa, Y. Meng, S. Rehman, I. Ahmad, A. Koubaa, Z Halim, M. Hanif, C. Changh, C. Shi, “Mobile fog computing security: A user-oriented smart attack defense strategy based on DQL”, Computer Communications, vol. 160, pp. 790-798, 2020. [ISSN: 0140-3664, Thomson Reuters JCR 2022, Impact factor 5.047, Elsevier, Q2] [HEC JRS Medallion= Silver]-link
  • S. Tu, S. Rehman, M. Waqas, O. Rehman, Z. Yang, B. Ahmad, Z. Halim, W. Zhao, “Optimisation-based training of evolutionary convolution neural network for visual classification applications,” IET Computer Vision, vol. 14, no. 05, pp. 259-267, 2020 [ISSN: 1751-9640, Thomson Reuters JCR 2022, Impact factor 1.484, IET, Q3] [HEC JRS Medallion= Honorable Mention]-link
  • Z. Halim, M. Waqas, C.A. Edwin, A. Shah, “Identifying factors for employee retention using computational techniques: an approach to assist the decision-making process,” SN Applied Sciences, vol. 2, no. 9, pp. 1-20, 2020 [ISSN: 2523-3971, Thomson Reuters JCR 2022, Impact factor 0.00, Springer] [HEC JRS Medallion= –]-link
  • M. Waqas, S. Tu, S. Rehman, Z. Halim, S. Anwar, G. Abbas, Z. Abbas, O. Rehman, “Authentication of Vehicles and Road Side Units in Intelligent Transportation System,” Computers Materials and Continua, vol. 64, no. 1, pp. 359-371, 2020. [ISSN: 1546-2226, Thomson Reuters JCR 2022, Impact factor 3.860, TSP, Q1] [HEC JRS Medallion= Bronze]-link
  • S. Haider, G. Abbas, Z.H. Abbas, S. Boudjit, and Z. Halim, “P-DACCA: A probabilistic direction-aware cooperative collision avoidance scheme for VANETs,” Future Generation Computer Systems, Vol. 103, pp. 1-17, 2020. [ISSN: 0167-739X, Thomson Reuters JCR 2022, Impact factor 7.307, Elsevier, Q1]-[HEC JRS Medallion= Platinum]-link
  • Z. Halim and M. Rehan, “On Identification of Driving-Induced Stress Using Electroencephalogram Signals: A Framework Based On Wearable Safety-Critical Scheme and Machine Learning,” Information Fusion, Vol. 53, pp. 66-79, 2020. [ISSN: 1566-2535, Thomson Reuters JCR 2022, Impact factor 17.564, Elsevier, Q1]- [HEC JRS Medallion= Platinum]-link
  • Z. Halim, M. Atif, A. Rashid, and C. A. Edwin, “Profiling Players Using Real-World Datasets: Clustering the Data and Correlating the Results with the Big-Five Personality Traits,” IEEE Transactions on Affective Computing, Vol. 10, No. 4, pp. 586-584, 2019. [ISSN: 1949-3045, Thomson Reuters JCR 2022, Impact factor 13.990, IEEE, Q1]- [HEC JRS Medallion= Gold]-link
  • G. Abbas, U. Raza, Z. Halim, and K. Kifayat, “ARCH: A dual-mode fairness-driven AQM for promoting cooperative behaviour in best effort Internet,” IET Networks, Vol. 8, No. 6, pp.372–380, 2019. [ISSN: 2047-4962, Thomson Reuters JCR 2022, Impact factor 0.0, IEEE]- [HEC JRS Medallion= Null]-link
  • Z. Halim and J.H. Khattak, “Density-based clustering of big probabilistic graphs,” Evolving Systems, Vol. 10, No. 03, pp. 333-350, 2019. [ISSN: 1570-7873, Thomson Reuters JCR 2022, Impact factor 2.347, Springer] – [HEC JRS Medallion= Clay]-link
  • A. Shah and Z. Halim, “On Efficient Mining of Frequent Itemsets from Big Uncertain Databases,” Journal of Grid Computing, Vol. 17, No. 04, pp.831-850, 2019. [ISSN: 1570-7873, Thomson Reuters JCR 2022, Impact factor 4.674, Springer, Q2] – [HEC JRS Medallion= Bronze]-link
  • Z. Halim and S. Khan, “A data science-based framework to categorize academic journals,” Scientometrics, Vol. 119, No. 01, 2019, pp. 393–423 [ISSN: 0138-9130, Thomson Reuters JCR 2022, Impact factor 3.801, Springer, Q1] – [HEC JRS Medallion= Silver/Platinum]-link
  • A. Rashid, M. Kamran, and Z. Halim, “A top down approach to enumerate α-maximal cliques in uncertain graphs,” Journal of Intelligent & Fuzzy Systems, Vol. 36, No. 04, 2019. pp. 3129-3141. [ISSN: 1064-1246, Thomson Reuters JCR 2022, Impact factor 1.737, IOS, Q3] – [HEC JRS Medallion= Bronze]-link
  • Z. Halim and Uzma, “Optimizing the minimum spanning tree-based extracted clusters using evolution strategy,” Cluster Computing, Vol. 21, No. 01, 2018, pp. 377-391 [ISSN: 1386-7857, Thomson Reuters JCR 2022, Impact factor 2.303, Springer, Q1] – [HEC JRS Medallion= Bronze]-link
  • ​Z. Hussain, G. Abbas, and Z. Halim, “A Lightweight Fairness-Driven AQM for Regulating Bandwidth Utilization in Best-Effort Routers,” Journal of Network and Systems Management, Vol. 26, No. 2, 2018, pp. 486-517. [ISSN: 1064-7570, Thomson Reuters JCR 2022, Impact factor 2.198, Springer, Q3] – [HEC JRS Medallion= Honorable mention/ Bronze]-link
  • Z. Halim, M. Waqas, A.R. Baig and Ahmar Rashid, “Efficient Clustering of Large Uncertain Graphs Using Neighborhood Information,” International Journal of Approximate Reasoning, Vol. 90, 2017, pp. 274-291. [ISSN: 0888-613X, Thomson Reuters JCR 2022, Impact factor 4.452, Elsevier, Q2] – [HEC JRS Medallion= Bronze/Silver]-link
  • ​T. Muhammad, Z. Halim, and M. A. Khan, “Visualizing Trace of Java Collection APIs by Dynamic Bytecode Instrumentation,” Journal of Visual Languages and Computing, Vol. 43, 2017, pp. 15-29. [ISSN: 1045-926X, Thomson Reuters JCR 2022, Impact factor 1.171, Elsevier, Q3] – [HEC JRS Medallion= Silver]-link
  • Z. Halim and T. Muhammad, “Quantifying and Optimizing Visualization: An Evolutionary Computing-Based Approach,” Information Sciences, Vol. 385, 2017, pp. 284-313. [ISSN: 0020-0255, Thomson Reuters JCR 2022, Impact factor 8.233, Elsevier, Q1] – [HEC JRS Medallion= Platinum]-link
  • Z. Halim, A. R. Baig, G. Abbas and M. A. Islam, “Computational Intelligence Based Search of Entertaining Rules in the Space of Predator/Prey Games,” Journal of Multiple-Valued Logic and Soft Computing, Vol. 28, No. 06, 2017, pp. 643-663. [ISSN: 1542-3980, Thomson Reuters JCR 2022, Impact factor 0.780, OCP Science, Q2] – [HEC JRS Medallion= Null]-link
  • ​T. Muhammad and Z. Halim, “Employing Artificial Neural Networks for Constructing Metadata-Based Model to Automatically Select an Appropriate Data Visualization Technique,” Applied Soft Computing, Vol. 49, 2016, pp. 365-384. [ISSN: 1568-4946, Thomson Reuters JCR 2022, Impact factor 8.263, Elsevier, Q1] – [HEC JRS Medallion= Platinum]-link
  • Z. Halim, R. Kalsoom, S. Bashir, and G. Abbas, “Artificial intelligence techniques for driving safety and vehicle crash prediction,” Artificial Intelligence Review, Vol. 46, No. 03, 2016, pp. 351–387. [ISSN: 0269-2821, Thomson Reuters JCR 2022, Impact factor 9.588, Springer, Q1] – [HEC JRS Medallion= Platinum/Gold]-link
  • Z. Halim, R. Kalsoom, and A. R. Baig, “Profiling drivers based on driver dependent vehicle driving features,” Applied Intelligence, Vol. 44, No. 03, 2016, pp. 645-664. [ISSN: 0924-669X, Thomson Reuters JCR 2022, Impact factor 5.019, Springer, Q2] – [HEC JRS Medallion= Bronze]-link
  • ​G. Abbas, Z. Halim, and Z. H. Abbas, “Fairness-Driven Queue Management: A Survey and Taxonomy,” IEEE Communications Surveys & Tutorials, Vol. 18, No. 01, 2016. [ISSN: 1553-877X, Thomson Reuters JCR 2022, Impact factor 33.840, IEEE, Q1] – [HEC JRS Medallion= Platinum]-link
  • Z. Halim, A. R. Baig, and G. Abbas, “Computational Intelligence-based Entertaining Level Generation for Platform Games,” International Journal of Computational Intelligence Systems, Vol. 08, No. 06, 2015. [ISSN: 1875-6883, Thomson Reuters JCR 2022, Impact factor 2.259, Taylor & Francis, Q3] – [HEC JRS Medallion= Bronze]-link
  • Z. Halim, M. Waqas and S. F. Hussain, “Clustering large probabilistic graphs using multi-population evolutionary algorithm,” Information Sciences, Vol. 317, 2015, pp. 78-95. [ISSN: 0020-0255, Thomson Reuters JCR 2022, Impact factor 8.233, Elsevier, Q1] – [HEC JRS Medallion= Platinum]-link
  • Z. Halim and G. Abbas, “A Kinect-Based Sign Language Hand Gesture Recognition System for Hearing- and Speech-Impaired: A Pilot Study of Pakistani Sign Language,” Assistive Technology, Vol. 27, No. 01, 2015, [ISSN: 1040-0435, Thomson Reuters JCR 2022, Impact factor 1.834, Taylor & Francis, Q3] – [HEC JRS Medallion= Clay]-link
  • ​M. A. Shah, G. Abbas, A. B. Dogar and Z. Halim, “Scaling hierarchical clustering and energy aware routing for sensor networks,” Complex Adaptive Systems Modeling, Vol. 3, No. 5, 2015, pp. 1–23. [ISSN: 2194-3206, ISI-indexed, Springer]​ – [HEC JRS Medallion= Null]-link
  • S. F. Hussain , M. Mushtaq and Z. Halim, “Multi-View Document Clustering via Ensemble Methods,” Journal of Intelligent Information Systems, Vol. 43, No.1, August 2014. [ISSN: 1573-7675, Thomson Reuters JCR 2022, Impact factor 2.504, Springer, Q3] – [HEC JRS Medallion= Bronze]-link
  • Z. Halim, A. R. Baig, K. Zafar, “Evolutionary Search in the Space of Rules for Creation of New Two-Player Board Games,” International Journal on Artificial Intelligence Tools, Vol. 23, No. 2, April 2014. [ISSN: 0218-2130, Thomson Reuters JCR 2022, Impact factor 1.059, World Scientific, Q4] – [HEC JRS Medallion= Null]-link
  • Z. Halim, A. R. Baig and H. Mujtaba, “Evolutionary Search for Entertainment in Computer Games,” Intelligent Automation and Soft Computing, Vol. 18, No. 1, pp. 33-47, January 2012. [ISSN: 1079-8587, Thomson Reuters JCR 2022, Impact factor 3.401, Taylor & Francis, Q3] ​ – [HEC JRS Medallion= Clay]-link
  • K. Zafar, A. R. Baig, N. Bukhari and Z. Halim, “Route planning and optimization of route using Simulated ant agent system,” Journal of Circuits, Systems, and Computers, Vol.20, No.30, pp. 457-478, May 2011. [ISSN: 0218-1266, Thomson Reuters JCR 2022, Impact factor 1.278, World Scientific, Q3] – [HEC JRS Medallion= Honorable mention/Clay]-link

Complete list of publications

Funded Projects

Research projects-Large

  • Project title: Online Identification of Driving-Induced Stress Using Electroencephalogram Signals: A Complete Framework Based On Wearable Safety-Critical Scheme for Safer Roads
    • Funding agency: HEC under National Research Program for Universities
    • Duration: 2019-2021
    • Budget: 5.238907 million PKR.
  • Project title: Machine learning-based driver assessment and early warning system for accident avoidance
    • Funding agency: HEC under Pak-Turk Researchers’ Mobility Grant Program (Phase I)
    • Duration: 2018-2020
    • Budget: 1000,000 PKR (both Pakistani and Turkish sides combined).
  • Project title: Automatic Algorithm Generation for Solving Environmental Economic Dispatch Problems
    • Funding agency: Council of Higher Eduction, Turkey
    • Duration: 2019-2021
    • Budget: 3 million PKR

External equipment grants-Small

  • Title: Qualsure ad Data Crypt
    • Funding Agency: Ignite-NGIRI
    • Duration: 2017-2018
    • Amount: 70,000 PKR
  • Title: Voicemetrics
    • Funding Agency: Ignite-NGIRI
    • Duration: 2017-2018
    • Amount: 80,000 PKR
  • Title: Arduino controlled swarm robotics
    • Funding Agency: Intel Foundation grant
    • Duration: 2014-2015
    • Amount: 150,000 PKR
  • Title: Augmented reality-based wearable gaming
    • Funding Agency: National ICT, R&D Fund, Pakistan
    • Duration: 2013-2014
    • Amount: 73,000 PKR
  • Title: BCI-based assistive technology and allied applications
    • Funding Agency: National ICT, R&D Fund, Pakistan
    • Duration: 2014-2015
    • Amount: 90,000 PKR
  • Title: IoT Bins
    • Funding Agency: National ICT, R&D Fund, Pakistan
    • Duration: 2018-2019
    • Amount: 68,000 PKR

Funding To Organize Conferences

  • Title: Second International Pak-Turk Conference on emerging Technologies in the Field of Science and Engineering
    • Funding Agency: HEC, Pakistan
    • Dates: 11-13 March 2019
    • Amount: 7.61800 million PKR
Courses Taught

          -Graduate Courses (Average course teaching evaluation 90%)
Advanced Algorithms and Computational Techniques
Graph Theory
Data Science and Big Data Analytics
Knowledge Engineering and Expert System
Machine Learning
Data Mining

          -Undergraduate Courses (Average course teaching evaluation 92.5%)
Computer Programming
Programming Techniques
Databases
Analysis of Algorithms
Data Structures
Computer Graphics
Introduction to Computing
Mobile Computing 

Professional Memberships

Institute of Electrical and Electronics Engineers (IEEE), Senior member

 

IEEE Computational Intelligence Society, Professional member

 

Association for Computing Machinery (ACM), Professional member

Scholarly Contributions

Journal Reviewer Panel
  • Knowledge and Information Systems, Springer
  • Expert Systems with Applications, Elsevier
  • Applied Soft Computing, Elsevier
  • Assistive Technology, Taylor & Francis
  • Journal of Experimental & Theoretical Artificial Intelligence, Taylor & Francis
  • Journal of Intelligent Systems, De Gruyter
  • Neurocomputing, Elsevier
  • Systems Journal, IEEE
  • Behaviour & Information Technology, Taylor & Francis
  • Neural Computing and Applications, Springer
MS/PhD. Thesis Examined
  • Context Driven Aspect based Citation Sentiment Analysis, PhD thesis by Muhammad Tauseef Ikram, Capital University of Science & Technology, Islamabad, 2021.
  • Automated Test Data Generation for Model Transformation Testing, Ph.D. thesis by Atif Aftab Ahmed Jillani, National University of Computer and Emerging Sciences, Islamabad, 2018.
  • Research paper recommendation by exploiting co-citation occurrences in section of scientific papers, Ph.D. thesis by Riaz Ahmad, Capital University of Science & Technology, Islamabad, 2018.
  • Numerical Solutions for Differential Equations by Haar Wavelets, Ph.D. thesis by Abdul Ghafoor, Faculty of Engineering Sciences, GIK Institute, 2018.
  • Evaluation of Hidden Markov Model for Malware Behavioral Classification, Ph.D. thesis by Mohammad Imran, Capital University of Science & Technology, Islamabad, 2016.
  • Routing Self-Organized Management of Non-Cooperative Services in Cognitive Sensor Networks, Ph.D. thesis by Shah Nawaz Khan, GIK Institute of Engineering Sciences and Technology, 2012.
  • Multi View Clustering via Ensemble Methods, M.S. thesis by Muhammad Mushtaq, GIK Institute of Engineering Sciences and Technology, 2012.
  • Encrypted Jade-S with Multi S-Box, M.S. thesis by Basit Ali, National University of Computer and Emerging Sciences, Islamabad, 2014.
  • Probabilistic Fuzzy Cognitive Agent Architecture, M.S. thesis by Rehama Khalid, National University of Computer and Emerging Sciences, Islamabad, 2014.
  • CHOKe with Recent Drop History, M.S. thesis by Zawar Hussain, GIK Institute of Engineering Sciences and Technology, 2015.
  • Rational Coordination in Cognitive Agents: A Decision Theoretic Approach Using ERMM, M.S. thesis by Noushin Mazhar, National University of Computer and Emerging Sciences, Islamabad, 2015.
  • Application of Computational Intelligence: Adaptive Learning in Games, M.S. thesis by Kamran Khan, National University of Computer and Emerging Sciences, Islamabad, 2015.
  • Hierarchical Hourly Load Forecasting and Back Casting Using Genetic Programming, M.S. thesis by Badar Munir, National University of Computer and Emerging Sciences, Islamabad, 2015.
  • SNAPP: Social Network Analysis & Privacy Protection using Statistical Semantics Corpus-Based Sentiment Lexicon Approach, M.S. project by Kanwal Batool, National University of Computer and Emerging Sciences, Islamabad, 2015.
  • Feature entropy based technique for reducing data imbalance, M.S. thesis by Raja Ali Asad, National University of Computer and Emerging Sciences, Islamabad, 2015.
  • Multi-Agent based Distributed Hierarchical Planning Framework for Constraint Satisfaction Problem Solving, M.S. project by Khadija Ahsan, National University of Computer and Emerging Sciences, Islamabad, 2015.
  • Spam Detection in Online Social Networks, M.S. thesis by Muhammad Mateen, National University of Computer and Emerging Sciences, Islamabad, 2016.
  • Study of Assessment Evaluation Schemes Using Pattern Mining, M.S. thesis by Rubab Khushal, Bahria University, Islamabad, 2016.
  • Sentiment Analysis on Pashto Scripts, M.S. thesis by Uzair Kamal, Bahria University, Islamabad, 2016.
  • Community Detection in Social Networks, M.S. thesis by Muhammas Salman, Bahria University, Islamabad, 2016.
  • Consensus in Multi-Agents System Using Partial Oder Planning and STRIPS notation, M.S. thesis by Qurat Ul Ain, National University of Computer and Emerging Sciences, Islamabad, 2016.
  • Creating Autonomous Adaptive Agent Teams in a Real-Time FPS Computer Game, M.S. project by Syed Haseeb Sajjad, National University of Computer and Emerging Sciences, Islamabad, 2017.
  • An Investigation into Financial Forecasting Using Hyper-heuristic, M.S. thesis by Muhammad Usman, National University of Computer and Emerging Sciences, Islamabad, 2017.
  • Identification of Important Citations by Exploiting Research Articles Metadata, MS thesis by Faiza Qayyum, Capital University of Science & Technology, Islamabad, 2017.
  • Comprehensive Evaluation of In-Text Citation Count, n-gram-Based Phrases and Similarity Measures for Citation Classification, MS thesis by Nadeem Iqbal, Capital University of Science & Technology, Islamabad, 2017.
  • Classification of scientific literature using twitter mining, MS thesis by Fauzia Jabeen, Capital University of Science & Technology, Islamabad, 2017.
  • Prediction of h-index and its variants using centrality metrics on paper citation network, MS thesis by Ayeza Zubair, Capital University of Science & Technology, Islamabad, 2018.
  • Evaluating the Effect of Preferential Voting Methods in Bagging Classifier, MS thesis by Rizwan Yasin, Capital University of Science & Technology, Islamabad, 2018.
  • Evaluation of Textual and Topological Similarity Measures for Citation Recommendation, MS thesis by Abdul Samad, Capital University of Science & Technology, Islamabad, 2018.
  • Evaluation of Researchers Ranking Parameters Based on Primitive Citation Intensity and Publication Age, MS thesis by Qurat-ul-Ain, Capital University of Science & Technology, Islamabad, 2019.
  • Utilizing the Extractions of Bio-Medical named Entities from Unstructured Data with Deep Neural Networks, MS thesis by Muhammad Sajid Ali, National University of Computer and Emerging Sciences, 2020.
  • Semantic Based Knowledge Extraction From Hadith In Urdu Language, MS thesis by Ahmad Hassan Awan, National University of Computer and Emerging Sciences, 2021.
  • Hierarchical Text Classification of Urdu News using Deep Neural Network, MS thesis by Taimoor Ahmed Javed, National University of Computer and Emerging Sciences, 2021.
  • Electroencephalogram Based Diagnosis of Schizophrenia using ML, MS thesis by Talha Anwar, National University of Computer and Emerging Sciences, 2021.
  • Identification of Disease Comorbidity Patterns, MS thesis by Ramsha Ahmad, National University of Computer and Emerging Sciences, 2021.
 
Curriculum and Evaluations

 

Awards/Honors

Research Students

  • Dr.  Tufail Muhammad (tufail@giki.edu.pk) – Ph.D.
    • Selecting, Quantifying, Optimizing, and Understanding Visualization Techniques: A Computational Intelligence-Based Approach
    • Graduated November 2016
    • Foreign Evaluators:
    • Prof. Dr.  Keith C.C. Chan, Big Data Lab, Department of Computing, The Hong Kong Polytechnic University, HONG KONG.
    • Prof. Dr. Ivan Viola, The Institute of Computer Graphics and Algorithms, Vienna University of Technology, AUSTRIA.
    • Prof. Dr. Michael John Watts, Academic Head of Programme, Information Technology, Auckland Institute of Studies, NEW ZEALAND.
    • Working as HoD CS Air University.
  • Dr.  Uzma (uzma.1415@gmail.com) – Ph.D.
    • A Soft Computing Perspective for DNA Fragment Assembly and Gene Expression Data Analysis
    • Graduated November 2020
    • Foreign Evaluators:
    • Prof. Dr. Zhu Han, John and Rebecca Moores Professor in the Electrical and Computer Engineering,  University of Houston, Texas, USA
    • Prof. Dr. Andrea Bondavalli, Full Professor in Computer Science, Dept. of Mathematics and Informatics,    University of Florence, Italy
  • Dr.  Madiha Tahir (madiha.tahir@giki.edu.pk) – Ph.D.
    • Supervised Learning Models To Identify Affective States From Short Texts
    • Thesis writing in progress, Graduated January 2021
    • Foreign Evaluators:
    • Prof. Dr. Zhu Han, John and Rebecca Moores Professor in the Electrical and Computer Engineering, University of Houston, Texas, USA
    • Prof. Dr. Shanshan Tu, Beijing University of Technology, China
  • Dr. Attau Rahman (attacs9@gmail.com) – Ph.D.
    • Topic: Towards Development of Computational Methods for Handwriting Analysis with Focus on Writer Identification, Personality Prediction, and Emotion Detection, Expected Graduation: Fall 2022
    • Graduated June 2022
    • Foreign Evaluators:
    • Prof. Dr. Zhu Han, John and Rebecca Moores Professor in the Electrical and Computer Engineering, University of Houston, Texas, USA
    • Prof. Dr. Iftekhar Ahmad, Edith Cowan University, Australia
  • Mr. Abdur Razzaq (razaq.cs@gmail.com) – Ph.D.
    • Topic: NLP for digital libraries, Expected Graduation: Fall 2023
  • Mr. Ehsan Elahi (ehsan.elahi43@gmail.com) – Ph.D.
    • Topic: Mining constructs from software engineering data, Expected Graduation: Fall 2024
  • Engr. Jalees Ur Rahman (jalees@giki.edu.pk) – Ph.D. [in co-supervision with Dr. M. Hanif]
    • Topic: Brain Activation based Alzheimer’s Disease Detection using Deep Learning Techniques: Expected Graduation: Fall 2024
  • Mr. Bacha Rehman (bachapk@gmail.com)- M.S.
    • Novel Methodologies for Urdu Interface Design and Speech Recognition
    • Graduated 2012
    • Working at Assistant Professor of CS at Namal Institute.
  • Ms. Rizwana Kalsoom (rizwana.kalsoom@giki.edu.pk)- M.S.
    • Early Warning System for Accident Prediction
    • Graduated 2013
    • Research Associate at GIK Institute of Engineering Sciences and Technology, Topi.
  • Mr. Muhammad Waqas (m.waqas@nu.edu.pk)- M.S.
    • Clustering Algorithms for Large Probabilistic Graphs
    • Graduated 2014
    • Working towards his PhD from University of Nottingham.
  • Mr. Omer Ali (omerali.0191@gmail.com)- M.S.
    • Mining Maximal Frequent Itemsets Using Graph-Based Representation
    • Graduated 2016
    • Working as towards his PhD from University of Oslo, Norway.
  • Mr. Muhammad Atif (gcs1416@giki.edu.pk)- M.S.
    • Data mining-based profiling players using StarCraft data for verifying dispositional theory
    • Graduated 2016
    • Working towards his PhD from University of Florence, Italy.
  • Mr. Jamal Hussain Khattak (gcs1418@giki.edu.pk)- M.S.
    • Density-based clustering of probabilistic data using graphs
    • Graduated 2016
    • Working as AM at National Engineering and Scientific Commission.
  • Ms. Uzma (gcs1415@giki.edu.pk)- M.S.
    • Optimizing MST-based extracted clusters using genetic programming
    • Graduated 2016
  • Ms. Mahma Rehan (gcs1501@giki.edu.pk)- M.S.
    • Intelligent transportation systems and human behavior
    • Graduated 2016
  • Mr. Shahid Iqbal (shahid.awkum@gmail.com)- M.S.
    • Evolutionary computation for bioinformatics
    • Graduated 2016
    • Working towards his Ph.D. from Monash University, Australia.
  • Mr. Ahsan Shah (ahxanshah007@gmail.com)- M.S.
    • Mining association rules from uncertain data
    • Graduated 2017
    • Working as Lecturer at GIK.
  • Mr. Muhammad Kamran (mkamran.mwi@gmail.com)- M.S. [in co-supervision with Dr. Ahmar Rashid]
    • On finding cliques in a graph
    • Graduated 2017
    • Working as Lecturer at KF University of Engineering and Information Technology, RYK.
  • Mr. Aamir Zeb ( aamirzeb@gmail.com)- M.S. [in co-supervision with Dr. Ahmar Rashid]
    • Smart phones a HCI perspective to increase usability
    • Graduated 2017
  • Ms. Maria Memon (maria.omer@hotmail.com)- M.S.
    • Employing Frequent Items for assisting management decisions
    • Graduated 2017
    • Project Manager and Graphic Designer at Lead 360
  • Ms. Aqsa Khan (gcs1603@giki.edu.pk)- M.S.
    • Extracting interesting features from the ITS-Big Data for traffic safety
    • Graduate 2018
    • Working as Lab. Engr. at GIK Institute of Engineering Sciences and Technology, Topi.
  • Mr. Hussain Sargana (hussain.sargana@gmail.com)- M.S.
    • Random walk-based clustering of graphs
    • Graduated 2018
    • Working as Lecturer at KF University of Engineering and Information Technology, RYK.
  • Mr. Raja Usman Ahmed Khan (rajausmanahmed.786@gmail.com)- M.S.
    • Multimodal activity recognition to identify suicide bomber
    • Graduated 2019
    • Working as Senior Business Intelligence Engineer, at DevNatives, Islamabad.
  • Ms. Shafaq Khan (shafaqkhan10se16@gmail.com)- M.S.
    • Machine learning for ranking scientific repositories
    • Graduated 2019
    • Working as Lecturer at University of Management and Technology
  • Ms. Mehwish Waqar (mehviaru@gmail.com)- M.S.
    • Emotion recognition from small text samples
    • Graduated 2019
    • Working as Lecturer at Superior University, Lahore.
  • Mr. Muhammad Sulaiman (gcs1704@giki.edu.pk)- M.S.
    • On selecting optimum schedule using hard and soft computing methods
    • Graduated 2019
    • Working as Lecturer at CUST, Islamabad.
  • Mr. Muhammad Asad (gcs1708@giki.edu.pk)- M.S.
    • Utilizing machine learning to identify ads viewability
    • Graduated 2019
    • Working as Lecturer at IST, Islamabad.
  • Mr. Sajjad Khan (gcs1707@giki.edu.pk)- M.S.
    • Correlating features and popularity statistics of contents at YouTube
    • Graduated 2019
    • Working at Research Assistant (Data Analyst) at Precision Medicine Lab.
  • Ms. Aqsa Zouq (aqsa.zouq@gmail.com)- M.S.
    • Predicting personality using choice of images in real-world setting
    • Graduated 2019
    • Working at NCGSA, IST, Islamabad.
  • Mr. Muhammad Ghufran Khan (ghufrankhattak29@gmail.com)- M.S.
    • Extracting patterns from uncertain data
    • Graduated 2019
    • Working towards his PhD from TU Dresden, Germany
  • Ms. Rabia Naseer (rrabianaseer@gmail.com)- M.S.
    • Utilizing deep learning to identify factors causing autism spectrum disorder
    • Graduated 2019
    • Working as Lecturer at UoL, Lahore.
  • Mr. Muhammad Nadeem Yousaf (gcs1814@giki.edu.pk)- M.S.
    • Intrusion detection using machine learning
    • Graduated 2020
    • Working as Lecturer at Bahria University, Islamabad.
  • Mr. Sadiq Ullah (gcs1812@giki.edu.pk)- M.S.
    • Classification via utilization of human intervention
    • Graduated 2020
    • Working as Lecturer at Namal Institute.
  • Mr. Nisar Ali (nisarali4465@gmail.com)- M.S.
    • Learning from data to rank scientists
    • Graduated 2021
  • Mr. Usama Manzoor (uzamamanzoor1271996@gmail.com)- M.S.
    • Knowledge retrieval from Biological databases
    • Graduated 2020
  • Mr. Aadam (aadimator@gmail.com)- M.S.
    • Stress identification using EEG data while driving LTVs
    • Graduated 2021
  • Ms. Nadia Ali (engrnadiaali@gmail.com)- M.S.
    • Emotion identification from roman Urdu text
    • Graduated 2021
  • Mr. Obaidullah (gcs1947@giki.edu.pk)- M.S.
    • Reinforcement learning
    • Graduated 2021
  • Ms. Hajira Saadat (hajirasaadat3@gmail.com)- M.S.
    • On mining drug reviews data
    • Graduate 2022
  • Mr. Itezaz-M.S.
    EEG controlled UAVs
  • Ms. Fasiha Imtiaz- M.S.
    Graph-based classification model to predict ASD
  • Natiqa Gul-M.S.
    3D scene generation utilizing computational methods
Administrative Experience

  • Dean, Faculty of Computer Science and Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology. August 2018 – August 2021.
  • Focal person (from GIK)Standing Committees of the National Assembly of Pakistan for Science & Technology. 13th October 2020 – to date.
  • Coordinator (Quality Enhancement Cell), Ghulam Ishaq Khan Institute of Engineering Sciences and Technology. 1st January 2013 — 16 May 2016. [3.5 Years]
  • Acting (Officiating) Dean, Faculty of Computer Science and Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology. June 2013 – April 2014.
  • Mentor (Advisor) ACM Students Society, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology. November 2011 — 2017.
  • Mentor (Advisor) Graduate Students Society, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology. December 2014 — 2015.
  • Convener Accreditation Support Committee (ASC), Ghulam Ishaq Khan Institute of Engineering Sciences and Technology. April 2015 — June 2018.
Presentations/Talks and Other Activities

  • Quality Assurance Practices for Outcome Based Learning Education, Fatima Jinnah Women University, Rawalpindi, 3-Jan. 2019. (-link)
  • Invited Talk on Complex Engineering Problem Solving an OBE Perspective, SEECS, National University of Science and Technology (NUST), Islamabad, August 31, 2016.
  • One-day Workshop on Bloom’s Taxonomy and Its Implementation Using the Outcome-Based Education, HEC-QAA, Islamabad, April 28, 2016.
  • One-day Workshop on Bloom’s Taxonomy, HEC Regional Center, Peshawar, April 20, 2016.
  • Workshop on Research Methodologies, Graduate Students Society-GIK Institute, April 13, 2016.
  • Learning from Large Scale Graph with MapReduce for Big Data Analytics, IEEE 10th International Conference on Emerging Technologies (ICET), Islamabad, Pakistan, December 9–12-2014.
  • Computational Intelligence, Analytics and Computer Games, Workshop on Data Mining, Machine Learning, Information Management, Mohammad Ali Jinnah University (M.A.J.U), Islamabad, Tuesday 4–02-2014.
  • Computational Intelligence in Games: An Overview , Technical talk at FCSE G.I.K Institute, Topi, 19th December 2012. Download
  • Artificial Intelligence based Automatic generation of Entertaining Gaming Engines, Technical talk at Namal College Mianwali, 18th June 2012.
  • Member Program Committee, AWICT 2015, Tunisia.
  • Member Program Committee, National Conference on Software Engineering 2014 (NSEC 2014), 11-12 Nov 2014, Rawalpindi, Pakistan.
  • Member Program Committee, IEEE International Conference on Open Source Systems and Technologies, Lahore, Pakistan, December 18-20, 2014.
  • Member Program Committee, IEEE 6th International Conference on Emerging Technologies (ICET), Islamabad, Pakistan, December 1-2, 2014.
  • Member Program Committee, 12th International Conference on Frontiers of Information Technology (FIT’ 14), Islamabad, Pakistan, December 17-19, 2014
  • Member Program Committee, 10th International Conference on Data Mining (DMIN 14), Las Vegas, Nevada, USA, July 21-24, 2014.
  • Member Program Committee, IEEE International Conference on Open Source Systems and Technologies, Lahore, Pakistan, December 16-18, 2013.
  • Member Program Committee, 11th International Conference on Frontiers of Information Technology (FIT’ 13), Islamabad, Pakistan, December 16-18, 2013.
  • Member Program Committee, 9th International Conference on Data Mining (DMIN 13), Las Vegas, Nevada, USA, July 22-25, 2013.
  • Member Technical Program Committee, 2012 International Conference on Emerging Technologies (ICET2012), Islamabad, Pakistan, October 8-9, 2012.
  • Member Program Committee, 10th International Conference on Frontiers of Information Technology (FIT’ 12), Islamabad, Pakistan, December 17-19, 2012.
  • Member Program Committee, 8th International Conference on Data Mining (DMIN 12), Las Vegas, Nevada, USA, July 16-19, 2012.
  • Member Program Committee, 7th International Conference on Data Mining (DMIN 11), Las Vegas, Nevada, USA, July 18-21, 2011.
  • Consultancy for Game AI (Moobila Pakistan Pvt. Ltd Islamabad).
  • Local Arrangement Chair, IEEE 6th International Conference on Emerging Technologies (ICET), Islamabad, Pakistan, October 18-19, 2010.
  • Public Relations Co-Chair, IEEE 5th International Conference on Emerging Technologies (ICET), Islamabad, Pakistan, October 19-20, 2009.
Projects (GIKI Seed funding)-Small Funding

Driver Profiling:The driver profiling system consists of two main modules i.e. Software & Hardware. The hardware part of the system consists of different vehicle components such as driving seat, steering wheel, a gear assembly, indicator, accelerator and brake pedals etc. These components have switches connected to them to identify any activity on these components. The data coming from all these switches are fed to the micro-controller which in turn serially transmits it to the Software part. The software simulator environment serially receives the data from the micro-controller and controls the vehicle dynamics based on this data. The profiler records the data sets, coming from the micro-controller, and compares it with the standardized patterns of different profiles and categorizes the driver accordingly. 

Gesture Recognition System for Hearing and Speech Impaired: Many normal people do find difficulty to communicate with deaf or hearing impaired individuals. Commonly people do not understand the gestures performed by the deaf or hearing impaired person. This project aim to give hearing or speech impaired people a new hope, a hope in shape of a user friendly system that helps them to communicate effectively. 

Modular Interactive Tiles: This project deals with the evolution of entertaining games using the concept of tangible tiles. Here, tangible tiles are used to construct an interactive playground where the player can play different games and also give feedback related to each game. The games implemented are predator/prey games which demand physical activity amongst the users and therefore act as a tool to be used against obesity. 

Smart home application for energy conservation & security “Smart Home” is the term commonly used to define a residence that has appliances, lighting, heating, air conditioning, TVs, computers, entertainment audio & video systems, security, and camera systems that are capable of communicating with one another and can be controlled remotely by a time schedule, from any room in the home, as well as remotely from any location in the world by phone or internet. In a nutshell, it’s you having the ability to control your home’s lighting, thermostat, security, appliances and more –from almost anywhere. 

Brain Computer Interfacing-Based Computer Gaming: This study assessed the possibility of implementing a brain computer interface (BCI) based software solution for people with motor disabilities. The traditional use of mouse or keyboard for interaction with the computer is not applicable in this case so the basic theme of the project is to help them communicate easily with computers using brain signals. The aim was to use BCI devices like the NeuroSky MindWave to discover hidden patterns of the brain signals that are accurate and reliable to be used as real-time input of interactive multimedia applications.  


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