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DHA Suffa University

FACULTY OF COMPUTER SCIENCE

The Faculty of Computer Science at DHA Suffa University offers a robust education in computing and technology, equipping students with the skills needed for careers in software development, data analysis, and more.

Mr. Noor Ali

HOD (Computer Science)

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Dr. Shama Siddiqui

Associate Professor

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Engr. Dr. Huma

Assistant Professor

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Dr. Ahmad Bilal

Bs Data Science Incharge

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Engr. Dr. Shahzad Ashraf

Associate Professor

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Dr. Najeeb Ur Rehman

Asst. Prof. BS AI Incharge

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Dr. Faisal Nabi

Assistance Professor

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Dr. Raazia Sosan

Assistant Professor

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Mr. Asif Rafiq

Senior Lecturer

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Ms. Urooj Waheed

Senior Lecturer

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Mr. Junaid Ali

Senior Lecturer

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Ms. Tehniat Mirza

Senior Lecturer

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Mr. Kamlesh Narwani

Senior Lecturer

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Mr. Conrad Walter D’Silva

Senior Lecturer

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Dr. M. Mobin Idrees

Assistant Professor

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Engr. Syed M. Farooq

Senior Lecturer

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Mr. Syed Imran Ali

Senior Lecturer

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Mr. Syed Saad Luqman

Senior Lecturer

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Mr. Adnan Alam Khan

Senior Lecturer

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Mr. M. Ayoub Kamal

Senior Lecturer

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Mr. Abdul Salam

Senior Lecturer

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Dr. Feroz Khan

Assistant Professor

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Engr. Umair Bin Mansoor

Assistant Professor

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Mr. Muhammad Farhan Siddiqui

Senior Lecturer

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Ms. Mashal Tariq

Senior Lecturer

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Mr. Waqas Ahmed Siddique

Senior Lecturer

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Mr. Hafiz Wahab Raza

Senior Lecturer

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Ms. Sumeera Hashmi

Senior Lecturer

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Ms. Anila Nargis

Senior Lecturer

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Mr. Arsal Ahmed

Senior Lecturer

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Mr. Usman Saeed Arab

Senior Lecturer

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Mr. Hammad Khawar

Senior Lecturer

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Ms. Syeda Tehreem Naqvi

Senior Lecturer

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Mr. Jahanzeb Khan

Senior Lecturer

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Ms. Hafsa Asif

Junior Lecturer

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Ms. Syeda Tehreem Naqvi

Junior Lecturer

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Ms. Rabbia Muhammad Qasmi

Lecturer

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Ms. Hina Urooj

Lecturer

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Engr. Muhammad Shakir khan

Junior Lecturer

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Ms. Yusra Mansoor

Senior Lecturer

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Mr. Muhammad Ajmal

Lecturer

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Mr.Afaq

Junior Lecturer

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Ms. Soohan Abbasi

Lecturer

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Mr. Asad Ullah

Lecturer

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Ms. Yusra Shahina

Lecturer

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Ms. Sumera Rounaq

Lecturer

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Ms. Durr-e-Shahwar

Lab Instructor

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Mr. Wilayat Shah

Lab Instructor

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Ms. Fiza Fayyaz

Junior Lecturer

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Ms. Tahira Ansari

Junior Instructor

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Mr. Wilayat Shah

Lab Instructor

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Mr. Noor Ali

HOD (Computer Science)

 

  • MS (Computer Engineering), Wayne State University, Detroit, Michigan, USA

  • BE (Electrical Engineering) NED University of Engineering and Technology, Karachi, Pakistan

Formerly:

  • Senior Program Manager at Cisco Systems, San Jose, California, USA

Contact Information:

  • Email: Noor.Ali@dsu.edu.pk
  • Extension: 346

Dr. Shama Siddiqui

Associate Professor

 
  • HEC Approved PhD Supervisor
  • PhD (Computer Science) Institute of Business Administration, Karachi, Pakistan
  • MS (Computer Science) Iqra University, Karachi
  • M.Sc (Applied Physics) & B.Sc (Physics) University of Karachi

Research Interests:

  • Wireless Sensor Networks
  • Design & Development of Mac Layer Protocols
  • Performance optimization of sensor networks
  • Internet of Things/Internet of Medical Things
  • Body Area Networks

Publications:

JOURNAL PUBLICATIONS

  1. Siddiqui, S., Khan, A. A., Hussain, M. Azhar, Hyder Waheeduddin & Khattak, Muazzam K. (2023). The Influence of Social Media on Purchase Decisions of Internet of Things (IoT) Devices, Journal of Hunan University Natural Sciences. 50(5).
  2. Siddiqui, S., Khan, A. A. & Ghani, S. (2023). A Road Map to Developing Energy-Efficient MAC Protocol in Wireless Sensor Networks: A Case of ADP-MAC Development & Implementation. Mehran University Research Journal of Engineering & Technology. 42 (1) 137-152.
  3. Sosan, R., Movania, M.M., Siddiqui, S. (2022). Perceptual Analysis of Distance Sampling and Transmittance Estimation Techniques in Biomedical Volume Visualization. Turkish Journal of Electrical Engineering and Computer Sciences. [I.F= 0.81]
  4. Abbasi, E., Amin, I., Siddiqui, S. (2022). Towards Developing Innovation Management Framework (IMF) for ICT Organizations at Pakistan. Journal of Innovation and Entrepreneurship. 11 (45).
  5. Siddiqui, S., Khan, A. A. & Ghani, S. (2021). Achieving Energy Efficiency in Wireless Sensor Networks using Dynamic Channel Polling and Packet Concatenation. China Communications. 18(8): 249-270 [I.F= 2.69]
  6. Siddiqui, S., Shakir, M. Z., Khan, A. A. & Dey, I. (2021). Internet of Things (IoT) enabled Architecture for Social Distancing during Pandemic. Frontiers in Communications and Networks.
  7. Siddiqui, S., Rory, N., Shakir, M. Z., Khan, A. A., Khan, A. A., Khan, K.K. & Ramzan, N. (2020). Artificial Neural Network (ANN) enabled Internet of Things (IoT) Architecture for Music Therapy. MDPI Electronics. 9 (12). [I.F= 2.41]
  8. Khan, A., Siddiqui, S. & Ghani, S. (2020). FROG-MAC: A Fragmentation based MAC Scheme for Prioritized Heterogeneous Traffic in Wireless Sensor Networks. Wireless Personal Communications. 114, 2327–2361. [I.F= 1.671]
  9. Khan, A., Ghani, S., & Siddiqui, S. (2018). A Preemptive Priority-Based Data Fragmentation Scheme for Heterogeneous Traffic in Wireless Sensor Networks. Sensors, 18(12), 4473. [I.F= 3.27]
  10. Khan, A. A, Ghani, S., Siddiqui, S. (2018). A Taxonomy for MAC Protocols in Wireless Sensor Networks based on Traffic Prioritization. Wireless Personal Communications. 1-30. [I.F= 1.671]
  11. Siddiqui, S., Ghani, S., & Khan, A. A. (2018). PD-MAC: Design and Implementation of Polling Distribution-MAC for Improving Energy Efficiency of Wireless Sensor Networks. International Journal of Wireless Information Networks. 25(2), 200-208.
  12. Khan, A. A, Ghani, S., Siddiqui, S. (2018). A Study on Channel Sharing for Congestion Control in WSN MAC Protocols. International Journal of Wireless Networks and Broadband Technologies (IJWNBT) Volume 6, Issue 1. 6(1), 15-33.
  13. Siddiqui, S., Ghani, S., & Khan, A. A. (2017). ADP-MAC: An Adaptive and Dynamic Polling based MAC Protocol for Wireless Sensor Networks. IEEE Sensors Journal. 18(2), 860-874. [I.F= 3.07]
  14. Siddiqui, S., Ghani, S., & Khan, A. A. (2015). A Study on Channel Polling Mechanisms for the MAC Protocols in Wireless Sensor Networks. International Journal of Distributed Sensor Networks, 2015. [I.F= 1.64]

Conference Publications

  1. Siddiqui, S. & Khan, A. A. (2022). Evaluation of Packet Concatenation Mechanisms for Low Power Devices in Industrial Internet of Things. 24th Multi-topic Conference (INMIC 22).
  2. Khan, A. A. & Siddiqui, S. (2022). Performance Evaluation of Priority Mechanisms for Industrial Wireless Sensor Networks. 24th Multi-topic Conference (INMIC 22).
  3. Siddiqui, S., Abdes Salam, N.F., Khan, A. A. & Dey, I. (2021). Enabling Real-Time Dashboards for Anxiety Risk Classification Using the Internet of Things. IEEE Global Communications conference (GLOBECOM 2021).
  4. Siddiqui, S., Khan, A. A., Abdes Salam, N.F. & Dey, I. (2021). A Bayesian Game Model for Dynamic Channel Sensing Intervals in Internet of Things. IEEE Global Communications conference (GLOBECOM 2021).
  5. Siddiqui, S., Khan, A. A., Dev, Kapal, Dey, I. (2021). Integrating Federated Learning with IoMT for Managing Obesity in Smart City. ACM Proceedings on 27th Annual International Conference on Mobile Computing and Networking. (MobiCom 2021).
  6. Khan, A. A, Siddiqui, S., Shah, S. M, Abdes Salam, N.F., Dey, I. (2021). Comparing ANN and SVM Algorithms for Predicting Exercise Routines of Diabetic Patients. IEEE Int. Wireless Communications & Mobile Computing Conference (IWCMC 2021).
  7. Siddiqui, S., Khan, A. A, Abdes Salam, N.F., Dey, I. (2021). Anxiety and Depression Management for Elderly Using Internet of Things and Symphonic Melodies. IEEE International Conference on Communications (ICC)-2021.
  8. Khan, A. A, Siddiqui, S. & Ghani, S., (2020). Optimizing MAC Layer Performance for Wireless Sensor Networks in eHealth. IEEE Proceedings on International Conference on Computers, Software & Applications: Staying Smarter in a Smartening World”. COMPSAC 2020. Madrid, Spain.
  9. Siddiqui, S. & Khan, A. A. (2019). Achieving Energy Efficiency for Bursty Traffic in Wireless Sensor Networks. IEEE Proceedings on 22nd International Multi Topic Conference 2019 (IEEE INMIC 2019). Pakistan.
  10. Siddiqui, S., Khan, A. A. & Ghani, S. (2018). A Comparison Study on Dynamic Duty Cycle and Dynamic Channel Polling Approaches for Wireless Sensor Networks. IEEE Proceedings on International Conference on Computers, Software & Applications: Staying Smarter in a Smartening World”. COMPSAC 2018. (pp. 790-793). Japan.
  11. Siddiqui, S., Khan, A. A. & Ghani, S. (2017). Investigating Dynamic Polling Intervals for Wireless Sensor Network Applications with Bursty Traffic. Proceedings of International Conference on Multi-sensor Fusion and Integration for Intelligent Systems (MFI 2017). (pp. 448-451). Daegu. South Korea.
  12. Khan, A. A, Ghani, S., Siddiqui, S. (2017). Design & Implementation of Distributed

Congestion Control Scheme for Heterogeneous Traffic in Wireless Sensor Networks. Proceedings of International Conference on Multi-sensor Fusion and Integration for Intelligent Systems (MFI 2017). (pp. 581-585). Daegu. South Korea.

  1. Siddiqui, S., Khan, A. A. & Ghani, S. (2017). Dynamic Polling for Rare Events in Wireless Sensor Networks. Proceedings of Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2017. (pp. 425-428). Nanjing, China.
  2. Khan, A. A, Jamal, S., Siddiqui, S. (2017). Dynamic Duty-Cycle Control for Wireless Sensor Networks using Artificial Neural Network (ANN). Proceedings of Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2017. ( 420-424). Nanjing, China.
  3. Siddiqui, S., Ghani, S., & Khan, A. A. (2017). Effect of Polling Interval Distributions on the Performance of MAC Protocols in Wireless Sensor Networks. ACM Proceedings on International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (pp. 573-579). Springer, Cham. Turin, Italy.
  4. Khan, A. A, Ghani, S., Siddiqui, S. (2017). Contention Window Prioritization for Heterogeneous Traffic in Wireless Sensor Networks. ACM Proceedings on International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (pp. 676-685). Springer, Cham. Turin, Italy.
  5. Siddiqui, S., Ghani. (2016), Towards Dynamic Polling: Survey and Analysis of Channel Polling Mechanisms for Wireless Sensor Networks, IEEE Proceedings on ICISE 2016, January 2016, Islamabad.
  6. Siddiqui, S., Khan, A. A & Ghani, S. (2015). A Survey on Data Aggregation Mechanisms in Wireless Sensor Networks, IEEE Proceedings on ICICT 2015, December 2015, Karachi, Pakistan.
  7. Wajid, A., Khan, A.A., Basit, A., Siddiqui, S., Salam, A. (2015), Achieving Energy Efficiency in Body Area Networks (BAN’s) through Avoiding Spatially Correlated Contention, IEEE Proceedings on ICICT 2015, Karachi, Pakistan.
  8. Siddiqui, S., & Ghani, S. (2013). Analytical Model for Delay Distribution of PRMAC. IEEE Proceedings on 11th International Conference on Frontiers of Information Technology (FIT), (pp. 1-6). Islamabad, Pakistan.
  9. Siddiqui, S., & Ghani, S. (2013). ES-MAC: Energy Efficient Sensor-MAC protocol for Wireless Sensor networks. IEEE Proceedings on 10th International Conference on Networking, Sensing and Control (ICNSC) (pp. 28-33). Paris, France.
  10. Siddiqui, S., Abbas, V. U., & Ali, M. A. (2010, September). Analysis and Simulation of Propagation Model for Wireless Communication of Bio-Sensors. IEEE Proceedings of 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM), 2010 (pp. 1-4). Chengdu, China.

BOOKS

  1. Indrakshi Dey, Shama Siddiqui, Anwar Ahmed Khan & (2024). Enabling techniques for IoT: An Information Processing Perspective. Cambridge Scholars Publishing. (In process)
  2. Shama Siddiqui, Anwar Ahmed Khan & Indrakshi Dey (2023). Emerging Sensing Applications & Protocols for the Internet of Things. Cambridge Scholars Publishing.

BOOK CHAPTERS

  1. Shama Siddiqui, Anwar Ahmed Khan & Indrakshi Dey (2022). Internet Technologies for Personalized Care. Information and Communication Technology (ICT) Frameworks in Telehealth. Springer.
  2. Shama Siddiqui & Anwar Ahmed Khan (2022). Challenges & Privacy Concerns Related to Use of Information Technology in Mental Healthcare. In Predictive Analytics of Psychological Disorder on Health. Lecture Notes on Data Engineering and Communications Technologies.
  3. Shama Siddiqui, Anwar Ahmed Khan & Indrakshi Dey (2022). Body Sensor Networks – Recent Advances and Challenges. In Wireless Mesh Networks.
  4. Indrakshi Dey and Shama Siddiqui. (2021). Wavelet Transform for IoT networks: Denoising Sensor Signals. In Wavelet Theory. IntechOpen. DOI: 10.5772/intechopen.95384

Significant Achievements:

  • HEC fellowship for MS leading to PhD
Publications Impact Factor Citations i10-Index
33
17.23
231
7

Contact Information:

Email: shama.siddiqui@dsu.edu.pk

Engr. Dr. Huma Jamshed

Associate Professor

 
  • PhD (Computer Science: Algorithm to predictfuture of Internet Technologies), University of Karachi, Pakistan, 2019.
  • ME (Computer Networks), NED University of Engineeringand Technology 2012
  • BE (Computer Information and SystemEngineering), NED University of Engineering and Technology 2008

Research Interests:

  • Web Technologies
  • Data Management System
  • Big Data and Big Data Analytics
  • Internet of Things
  • Artificial Intelligence and Machine Learning

Publications:

  1. Jamshed,H., Ali Khan, M. S., Khurram, M., Inayatullah, S. y Athar, S.(2019). Data Preprocessing: Apreliminary step for web data mining Citaciónsugerida: Data Preprocessing: A preliminary step for web datamining. 3C Tecnología. Glosasdeinnovaciónaplicadas a la pyme. Edición Especial,Mayo 2019, pp. 206–221. doi: http://dx.doi.org/10.17993/3ctecno.2019.specialissue2.206–221

  2. M. Sadiq and H. Jamshedand S.Mustafa and S.Iqbal, “Data Extraction using Professional WebScraping”, Automatic Control and System Engineering  ACSE, September 2018

  3. M. Sadiq Ali Khan, HumaJamshed,SumreenaBano and Muhammad Navaid Anwar, “Big Data Management in Connected Worldof Internet of Things”, Indian Journal of Science and Technology, August 2017

  4. M. Sadiq Ali Khan*, Khaliq Khanzada and Huma Jamshed, “Realization of Aggregate Applications using DynamicBehaviour of Cellular Automata”, Indian Journal of Science and Technology,Vol 10 (3), DOI: 10.17485/ijst/2017/v10i3/110621, January 2017

  5. Sadiq Ali Khan,HumaJamshed,“Analysisof Formal Methods for Specification of E-Commerce Applications”, MehranUniversity Research Journal of Engineering & Technology, January 2016

  6. M.Sadiq Ali Khan and HumaJamshed,“Challengesin Handling Big Data”, International Journal of Application orInnovation in Engineering & Management (IJAIEM), December 2015

Technical Skills:

Contact Information:

Email: Huma.jamshed@dsu.edu.pk

Dr. Ahmad Bilal

Bs Data Science Incharge

 

Profile:

Academic Background:

  • Ph.D. (Computer Science), Nanjing University of Aeronautics. Nanjing, China
  • MS (Computer Science), U.A.F. Faisalabad
  • BS(Information Technology), A.I.O.U. Islamabad

Research Interests:

  • Artificial Intelligence
  • Machine Learning
  • Data Analytics
  • Deep learning
  • Intrusion detection system for WSN

Publications:

  1. Bilal, A., Hasany, S.M.N.,Pitafi, A.H.: Effective modelling of sinkhole detection algorithm for edge-based Internet of Things (IoT) sensing devices. IET Commun. 1–11 (2022).

  2. Ahmad, Bilal; Jian, Wang, “Classification of DoS Attacks in Smart Underwater Wireless Sensor Network” Wireless Personal Communications,2019

  3. Bilal Ahmad, Wang Jian “Role of Machine Learning and Data mining for Internet Security – Standing State with Future Directions” Hindawi, Journal of Computer Networks and Communications, 2018

  4. Ahmad, Bilal; Jian, Wang; Ali, “Hybrid Anomaly Detection by Using Clustering for Wireless Sensor Network” Wireless Personal Communications, p 1-13, April 16, 2018

  5. Ahmad, Jian, Wang; Shafiq, Muhammad “Intrusion detection by using hybrid of decision tree and K-nearest neighbor” International Journal of Hybrid Information Technology, 2016

  6. Ahmad, Bilal Jian, Wang; Hassan, Bilal “Hybrid intrusion detection method to increase anomaly detection by using data mining techniques” International Journal of Database Theory and Application, 2016

Experience:

  • SSUET, Karachi (Asst. Professor 2 Years)
  • NUAA China (Lecturer 1 Year)
  • Beaconhouse (IT Teacher 4.5 Years)

Contact Information:

Email: ahmad.bilal@dsu.edu.pk

Engr. Dr. Shahzad Ashraf

Associate Professor

 
  • Academic Background:
  • Ph.D. (Information and Communication Engineering, Hohai University Changzhou, China
  • ME (Computer Communications and Networks), Mehran UET, Jamshoro Pakistan
  • BE(Computer Systems Engineering), Mehran UET, Jamshoro Pakistan Research Interests:
  • Wireless Communication
  • Underwater Sensors
  • Artificial Intelligence
  • Computer Vision
  • Computer Networks Research Journal Editorial role
  • KSII Transactions on Internet and Information Systems
    Frontiers in Computer Science
    IEICE Electronics Express
    Journal of Information Analysis
    BOHR Journal of Computational Intelligence and Communication Network
    Green and Environmentally Friendly New Technologies (GEFNT)
    Microsystem Technologies
    Wireless personal communication
    Electrical Science and Engineering
    i-manager’s Journal on Wireless Communication Networks (JWCN)
    Cognitive Studies | Etudes Cognitives
    Software Engineering and Applications (JSEA)
    Computational Research Progress in Applied Science & Engineering
    Intellectual Advancements and Research in Engineering Computations
    Journal of Computational and Cognitive Engineering
  • Research Profile:
  • Research Gate: https://www.researchgate.net/profile/Shahzad_Ashraf3
    Google Scholar: https://scholar.google.com/citations?user=6sMp4-cAAAAJ&hl=en
    Web of Science:   AAD-1652-2020
    Scopus:   57193631627
    ORCID:  0000-0002-7637-7870
  • Technical Skills:
  • Computer hardware, network deployment and administration, Windows Server Configuration and Administration, Office automation, PhotoshopEmail :
  • nfc.iet@hotmail.com
  • shahzad.ashraf@dsu.edu.pk
  • Journal Publications
    1. Shahzad Ashraf, Furqan Memon, Fouzia Akram, Zeeshan Rasheed, Shahzad Sarwar Bhatti, and Inam Ullah. “Development of Sustainable Wireless Resource Model through Shrewd Neural Network.” Data Intelligence. China Science Publishing & Media Ltd., August 1, 2024. https://doi.org/10.3724/2096-7004.di.2024.0034.
    2. Shahzad Ashraf, Mingsheng Gao, Zhengming Chen, Hamad Naeem, Arshad Ahmad and Tauqeer Ahmed, (2020). “Underwater Pragmatic Routing Approach Through Packet Reverberation Mechanism,” IEEE Access, vol. 8, pp. 163091-163114, doi:  https://doi.org/10.1109/ACCESS.2020.3022565
    3. Shahzad Ashraf, Syed Haider Aqeel, Raja Masood Larik, Nusrat Husain, Hafiz Abdul Muqeet, Usman Humayun, Ashraf Yahya, Zeeshan Ahmad Arfeen, and Muhammad Farhan Khan. 2023. “An Improved Multimodal Biometric Identification System Employing Score-Level Fuzzification of Finger Texture and Finger Vein Biometrics” Sensors 23, no. 24: 9706. https://doi.org/10.3390/s23249706
    4. Shahzad Ashraf, Syed Kanza Mehak, Zeeshan Rasheed, Naeem Ahmed Ibupoto.(2024). Machine Learning Algorithms For Prediction Of Thyroid Syndrome At Initial Stages In Females. In Kurdish Studies (pp. 466–470). Green Publication. https://doi.org/10.53555/ks.v12i5.3247
    5. Shahzad Ashraf, Tauqeer Ahmed, Asif Raza, Hamad Naeem, (2020). “Design of Shrewd Underwater Routing Synergy Using Porous Energy Shells” MDPI: Smart Cities, 3, no. 1: 74-92. doi: https://doi.org/10.3390/smartcities3010005
    6. Shahzad Ashraf, Tehseen Mazhar, Rizwana N. Asif, M. Amir Malik, M. Asgher Nadeem, Inayatul Haq, Muhammad Iqbal, and Muhammad Kamran. Electric Vehicle Charging System in the Smart Grid Using Different Machine Learning Methods. Sustainability 2023, 15(3), 2603. https://doi.org/10.3390/su15032603
    7. Shahzad Ashraf, Zeeshan Rasheed, Naeem Ahmed Ibupoto, Pinial Khan Butt, and Emad Hussen Sadiq. 2022. “SDS: Scrumptious Dataflow Strategy for IoT Devices in Heterogeneous Network Environment” Smart Cities 5, no. 3: 1115-1128. https://doi.org/10.3390/smartcities5030056
    8. Shahzad Ashraf, Rabbani, Muhammad Junaid, Attaullah Y. Memon, Muhammad Farhan, Raja Masood Larik, Muhammad Burhan Khan, and Zeeshan Ahmad Arfeen. 2024. “Robust Output Feedback Stabilization and Tracking for an Uncertain Nonholonomic Systems with Application to a Mobile Robot” Sensors 24, no. 11: 3616. https://doi.org/10.3390/s24113616
    9. Shahzad Ashraf, Arshad Ahmad, Ayaz Ullah, Chong Feng, Muzammil Khan, Muhammad Adnan, Shah Nazir, and Habib Ullah Khan. (2020), “Towards an Improved Energy Efficient and End-to-End Secure Protocol for IoT Healthcare Applications”, Security and Communication Networks, vol. 2020, 10 pages, doi: https://doi.org/10.1155/2020/8867792
    10. Shahzad Ashraf, Mingsheng Gao, Zhengming Chen., Tauqeer Ahmed, Asif Raza, & Hamad Naeem, (2020). USPF: Underwater Shrewd Packet Flooding Mechanism through Surrogate Holding Time. Wireless Communications and Mobile Computing, 1–12, doi:  https://doi.org/10.1155/2020/9625974
    11. Shahzad Ashraf, Omar Alfandi, Arshad Ahmad, Asad Masood Khattak, Bashir Hayat, Kyong Hoon Kim, and Ayaz Ullah, “Bodacious-Instance Coverage Mechanism for Wireless Sensor Network”, Wireless Communications and Mobile Computing, (2020), 11 pages, 2020. https://doi.org/10.1155/2020/8833767
    12. Shahzad Ashraf, Obaid, Hafiz Muhammad, Muhammad Asgher Nadeem, Hifsa Shahid, Adeel Akram, and Muhammad Zafrullah. “Performance Analysis of a Hybrid Optical Amplifier Based 480-Gbps DWDM-FSO System under the Effect of Different Atmospheric Conditions.” Frontiers in Computer Science. Frontiers Media SA, February 7, 2024. https://doi.org/10.3389/fcomp.2024.1348024
    13. Shahzad Ashraf, Mingsheng Gao, Zhengming Chen, Hamad Naeem, and Tauqeer Ahmed, (2022). “CED-OR Based Opportunistic Routing Mechanism for Underwater Wireless Sensor Networks”, Wireless Personal Communications (2022). https://doi.org/10.1007/s11277-022-09561-w
    14. Shahzad Ashraf, Muhammad Ashfaq Khan, Fayaz Ali Dharejo, Farah Deeba, Juntae Kim, and Hoon Kim. (2021), “Toward developing tangling noise removal and blind inpainting mechanism based on total variation in image processing”, Electronics Letters, doi: https://doi.org/10.1049/ell2.12148
    15. Shahzad Ashraf, Sehrish Saleem, Tauqeer Ahmed, Zeeshan Aslam and Durr Muhammad. Conversion of adverse data corpus to shrewd output using sampling metrics. Visual Computing for Industry Biomedicine and Art 3, 19 (2020). doi: https://doi.org/10.1186/s42492-020-00055-9
    16. Shahzad Ashraf, Sehrish Saleem, Tauqeer Ahmed, & Zeeshan A. Arfeen, (2022). Succulent link selection strategy for underwater sensor network. International Journal of Computing Science and Mathematics (Vol. 15, Issue 3, p. 224). Inderscience Publishers. https://doi.org/10.1504/ijcsm.2022.10049407
    17. Shahzad Ashraf, Zeeshan Ahmad Arfeen, Usman Ullah Sheikh, Mehreen Kausar Azam, Rabia Hassan, Hafiz Muhammad Faisal Shehzad, Md Pauzi Abdullah, and Lubna Aziz, (2020). “A comprehensive review of modern trends in optimization techniques applied to hybrid microgrid systems”, Concurrency and Computation: Practice and Experience, doi: https://doi.org/10.1002/cpe.6165
    18. Shahzad Ashraf, Muhammad Zuhair, Mahnoor Iqbal, Syed Zain Raza, Alief  khokhar, & Muhammad Asgher Nadeem (2023). BROACHING UNCOUTH WATER LEVEL SNAG IN UNDERGROUND AGRICULTURE FIELD THROUGH WIRELESS SENSORS. Suranaree Journal of Science and Technology (Vol. 30, Issue 4, p. 010248(1-16)). Suranaree University of Technology. https://doi.org/10.55766/sujst-2023-04-e0855
    19. Shahzad Ashraf, Asif Raza, Zeeshan Aslam, Hamad Naeem, and Tauqeer Ahmed, (2020), Underwater Resurrection Routing Synergy using Astucious Energy Pods. Journal of Robotics and Control (JRC), 1(5). doi: https://doi.org/10.18196/jrc.1535
    20. Shahzad Ashraf, Arshad Ahmad, Adnan Yahya, and Tauqeer Ahmed, (2020). “Underwater Routing Protocols: Analysis of Link Selection Challenges” AIMS Electronics and Electrical Engineering. 4, no. 3: 234–248. doi: https://doi.org/10.3934/electreng.2020.3.234
    21. Rizwan Tariq, Rao M. Asif, Ateeq Ur Rehman, Muhammad Abu Bakar Siddique, Adeel Asad, Shahzad Ashraf (2020), Organic Power Generation and Utilization Using Anaerobic Digestion Process” Journal of Applied and Emerging Sciences, Vol (10), Issue (02), PP-126–132. doi: https://doi.org/10.36785/buitems.jaes.408
    22. Shahzad Ashraf, Mingsheng Gao, Zhengming Chen, Syed Kamran Haider and Zeeshan Raza, (2017). “Efficient Node Monitoring Mechanism in WSN using Contikimac Protocol” International Journal of Advanced Computer Science and Applications (IJACSA), 8(11), doi: https://doi.org/10.14569/IJACSA.2017.081152
    23. Shahzad Ashraf. (2021). A Proactive role of IoT devices in building Smart Cities. Internet of Things and Cyber-Physical Systems. https://doi.org/10.1016/j.iotcps.2021.08.001
    24. Shahzad Ashraf, Tauqeer Ahmed and Sehrish Saleem, NRSM: Node redeployment shrewd mechanism for wireless sensor network, (2020), Iran Journal of Computer Science doi: https://doi.org/10.1007/s42044-020-00075-x
    25. Shahzad Ashraf, Tauqeer Ahmed, Zeeshan Aslam, Durr Muhammad, Adnan Yahya, Muhammad Shuaeeb, (2020). Depuration‎ based Efficient Coverage Mechanism for ‎Wireless Sensor Network. Journal of Electrical and Computer Engineering Innovations (JECEI), 8(2), 145-160. doi: https://doi.org/10.22061/jecei.2020.6874.344
    26. Shahzad Ashraf, and Durr Muhammad,(2024) Time based Meticulous analysis of pandemic spreading ratio using Simpy framework. COMMICAST, 5(1), 136–147. https://doi.org/10.12928/commicast.v5i1.10044
    27. Shahzad Ashraf, Sehrish Saleem, Tauqeer Ahmed, “Sagacious Communication Link Selection Mechanism for Underwater Wireless Sensors Network”, International Journal of Wireless and Microwave Technologies (IJWMT), (2020), Vol.10, No.4, pp. 22-33, doi: https://doi.org/10.5815/ijwmt.2020.04.03
    28. Shahzad Ashraf. (2020), “Culminate Coverage for Sensor Network through Bodacious-Instance Mechanism”, i-manager’s Journal on Wireless Communication Networks, 8(3), 1-9, doi: https://doi.org/10.26634/jwcn.8.3.17310
    29. Shahzad Ashraf and Tauqeer Ahmed, (2020). “Dual-nature biometric recognition epitome”, Trends in Computer Science and Information Technology, 5(1): 008-014. doi: https://doi.org/10.17352/tcsit.000012
    30. Shahzad Ashraf and Zeeshan Aslam, “Data leakage analysis in wireless networks using Super-vised and Unsupervised Testing”, Innovation y Software., vol. 4, no. 2, pp. 52-62, Sep. 2023. doi:  https://doi.org/10.48168/innosoft.s12.a108
    31. Shahzad Ashraf. (2020), “Towards Shrewd Object Visualization Mechanism” Trends in Computer Science and Information Technology 5(1): 097-102. doi: https://doi.org/10.17352/tcsit.000030
    32. Shahzad Ashraf, Zeeshan Aslam, Adnan Yahya, and Adnan Tahir, (2020). “Underwater Routing Protocols Analysis of Intrepid Link Selection Mechanism, Challenges and Strategies”, International Journal of Scientific Research in Computer Science and Engineering, 8(2), 1–9. doi: https://doi.org/10.26438/ijsrcse/v8i2.19
    33. Shahzad Ashraf, Tauqeer Ahmed, Sehrish Saleem, and Zeeshan Aslam. (2020), “Diverging Mysterious in Green Supply Chain Management”, Orient. Journal of Computer Science and Technology, 13(1). doi: https://doi.org/10.13005/ojcst13.01.02
    34. Shahzad Ashraf and Tauqeer Ahmed, (2020). “Machine Learning Shrewd Approach for an Imbalanced Dataset Conversion Samples” Journal of Engineering and Technology (JET), vol. 11, no. 1, Available:  https://jet.utem.edu.my/jet/article/view/5896
    35. Shahzad Ashraf, Zeeshan Aslam, Sehrish Saleem, Syed Afnan and Muhammad Aamer. (2020), “Multi-biometric Sustainable Approach for Human Appellative”, Computational Research Progress in Applied Science & Engineering, CRPASE: Transactions of Electrical, Electronic and Computer Engineering, 6, pp-146–152. Availablehttp://www.crpase.com/viewmore.php?pid=165&title=Multibiometric%20Sustainable%20Approach%20for%20Human%20Appellative
    36. Shahzad Ashraf, Zeeshan Rasheed, Muhammad Arbaz. (2022), Adopting proactive results by developing the Shrewd model of pandemic COVID-19. Archives of Community Medicine and Public Health 8(2): 062-067. doi:  https://doi.org/10.17352/2455-5479.000175
    37. Shahzad Ashraf, Zeeshan A. Arfeen, Muhammad A. Khan, & Tauqeer Ahmed, (2020). “SLM-OJ: Surrogate Learning Mechanism during Outbreak Juncture”, International Journal for Modern Trends in Science and Technology, 6(5), 162–167. doi: https://doi.org/10.46501/ijmtst060525
    38. Shahzad Ashraf. Avoiding Vulnerabilities and Attacks with a Proactive Strategy for Web Applications. Advances in Robotics & Mechanical Engineering, 3(2)- 2021. ARME.MS.ID.000157. doi: https://doi.org/10.32474/ARME.2021.03.000157
    39. Shahzad Ashraf, Sehrish Saleem and Syed Afnan. (2020), “FTMCP: Fuzzy based Test Metrics for Cosmetology Paradigm”, Advanced Computational Intelligence: An International Journal (ACII), 7(4), 01–13. doi: https://doi.org/10.5121/acii.2020.7401
    40. Shahzad Ashraf, Sehrish Saleem, Syed Afnan, and Muhammad K. Basit. (2020), “CMBA – A Candid Multi-Purpose Biometric Approach”, ICTACT Journal on Image and Video Processing, vol. 11, no. 01, pp-2211-2216, doi: https://doi.org/10.21917/ijivp.2020.0317Available onlinehttps://ictactjournals.in/ArticleDetails.aspx?id=4534
    41. Shahzad Ashraf, Durr Muhammad, Muhammad A. Khan, and Tauqeer Ahmed. (2020), “Fuzzy based efficient Cosmetology Paradigm” International Journal of Multidisciplinary and Current Research, vol. 8, pp-513-520, doi: https://doi.org/10.14741/ijmcr/v.8.4.3Available onlinehttp://ijmcr.com/fuzzy-based-efficient-cosmetology-paradigm
    42. Shahzad Ashraf, Emad Hussen Sadiq, Zeeshan Aslam, Durr Muhammad. Fuzzy based multi-line Power Outage Control System.  Journal of Critical Reviews (JCR). 2021; 8(2): 1421-1431. doi: https://doi.org/10.31838/jcr.08.02.143Available onlinehttps://www.jcreview.com/paper.php?slug=fuzzy-based-multi-line-power-outage-control-system
    Conference Proceedings
    01 Shahzad Ashraf and Tauqeer Ahmed, “Sagacious Intrusion Detection Strategy in Sensor Network,” (2020) International Conference on UK-China Emerging Technologies (UCET), Glasgow, United Kingdom, 2020, pp. 1-4,doi: https://doi.org/10.1109/UCET51115.2020.9205412
    02 Shahzad Ashraf, Sehrish Saleem, Tauqeer Ahmed, Zeeshan Aslam and Muhammad Shuaeeb, “Iris and Foot based Sustainable Biometric Identification Approach,” (2020) International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Split, Hvar, Croatia, 2020, pp. 1-6, doi: https://doi.org/10.23919/SoftCOM50211.2020.9238333
    03 Shahzad Ashraf, Zeeshan Raza, Kamran Liaquat and Hasnain Kashif. (2016), “Monitoring of soldier’s health and transmission of secret codes”, 2016 Sixth International Conference on Innovative Computing Technology (INTECH), Dublin,  Ireland. doi: https://doi.org/10.1109/INTECH.2016.7845019
    04 Shahzad Ashraf, Syed Haider, Min Jiang and Inam Ullah. (2017), “Study on Detection of P300 ERP Component in EEG Signals and Algorithms”, Proceedings of the 3rd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2017) doi: https://doi.org/10.2991/eeeis-17.2017.49
  • Book Chapter
  • 01 Shahzad Ashraf, Irshad Khalil,  Inam Ullah, Ijaz Khan. Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science. Taylor & Francis.

Dr. Najeeb Ur Rehman Malik

Assistant Professor BS AI Incharge

 

Profile:

Academic Background:

  • PhD. (Computer Vision and Deep Learning), Universiti Teknologi Malaysia.
  • ME (Communication Systems and Networks), M.U.E.T. Jamshoro.
  • BE (Electronics Engineering), M.U.E.T. Jamshoro.

Research Interests:

  • Artificial Intelligence
  • Machine Learning
  • Computer Vision
  • Deep Learning
  • Image Processing

Publications:

  1. Malik, Najeeb ur Rehman, Usman Ullah Sheikh, Syed Abdul Rahman Abu-Bakar, and Asma Channa. 2023. “Multi-View Human Action Recognition Using Skeleton Based-FineKNN with Extraneous Frame Scrapping Technique” Sensors 23, no. 5: 2745.

  2. Malik, Najeeb ur Rehman, Syed Abdul Rahman Abu-Bakar, Usman Ullah Sheikh, Asma Channa, and Nirvana Popescu. 2023. “Cascading Pose Features with CNN-LSTM for Multiview Human Action Recognition” Signals 4, no. 1: 40-55.

  3. Malik, N.U.R., Abu Bakar, S.A.R., Sheikh, U.U. (2022). Multiview Human Action Recognition System Based on OpenPose and KNN Classifier. Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications. Lecture Notes in Electrical Engineering, vol 829. Springer, Singapore

  4. Malik, N.U.R., Bakar, S.A.R.A., Sheikh, U.U., Airij, A.G. (2022). Convolutional Neural Network Architecture for Detecting Facemask and Social Distancing: A Preventive Measure for COVID19. Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications. Lecture Notes in Electrical Engineering, vol 829. Springer, Singapore.

  5. U. R. Malik, S. A. R. Abu Bakar and U. U. Sheikh, “A Simplified Skeleton Joints Based Approach For Human Action Recognition,” 2021 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), Kuala Terengganu, Malaysia, 2021, pp. 72-76.

  6. U. Rehman Malik, A. G. Airij, S. A. Memon, Y. N. Panhwar, S. A. R. Abu-Bakar and M. A. El-Khoreby, “Performance Comparison Between SURF and SIFT for Content-Based Image Retrieval,” 2019 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), Kuala Lumpur, Malaysia, 2019, pp. 214-218.

Contact Information:

Email: najeeb.malik@dsu.edu.pk

Dr. Faisal Nabi

Assistant Professor

PhD Information and Cyber Security IEEE Australia

Dr. Raazia Sosan Waseem

Assistant Professor

 

Academic Background:

  • PhD(Computer Science), DHA Suffa University

  • MS (Computer Science), Hamdard University

  • BS (Telecommunication & Networks), Hamdard University

Research Interest:

  • Computer Graphics and Visualization
  • High Performance Computing
  • Image Processing
  • 5G/6G Networks

Significant Achievements:

  • Won ACM-W scholarship to attend SIGGRAPH 2020
  • Gold Medal, First Positon Holder, MS(CS)
  • Gold Medal, Best Graduate of the Year 2012, BS(TN)
  • Gold Medal, First Positon Holder, BS(TN)

Publication:

Sosan, Raazia, Muhammad Mobeen Movania, and Shama Siddiqui. “Perceptual analysis of distance sampling and transmittance estimation techniques in biomedical volume visualization.” Turkish Journal of Electrical Engineering and Computer Sciences 30.6 (2022): 2109-2123.

Formerly:

  • Assistant Professor, Hamdard University (Dec 2015 – August 2016)
  • Lecturer, Hamdard University (Dec 2014 – Dec 2015)
  • Lab Instructor, Hamdard University (Oct 2012 – Dec 2014)

Contact Information:

Email: raazia.sosan@dsu.edu.pk

Extension: 344

Mr. Asif Rafiq

Senior Lecturer

 

  • MS(IT) – Computer Networks from KTH, Royal Institute of Technology Sweden

  • BE-Computer Engineering from Sir Syed University of Engineering & Technology Karachi

Formerly:

Phoenix Armour (Pvt.) LTD

Research Interests:

  • WSN & Network Security

Contact Information:

Email: asif.rafiq@dsu.edu.pk

Extension: 211

Ms. Urooj Waheed

Senior Lecturer

 

  • MS (Computer Science), IBA

  • BS (Computer Science), University of Karachi

Contact Information:

Email: urooj.waheed@dsu.edu.pk

Mr. Junaid Ali

Senior Lecturer

 

MASTER OF SCIENCE | COMPUTER ENGINEERING POLITECNICO DI TORINO | TURIN ITALY

BACHELOR OF ENGINEERING| SOFTWARE ENGINEERING MEHRAN UNIVERSITY OF ENGG AND TECHNOLOGY | JAMSHORO PAKISTAN

Contact Information:

Email: junaid.ali@dsu.edu.pk

Ms. Tehniat Mirza

Senior Lecturer

 

  •  MS (Computer Science), PAF-KIET

  • BS (Computer Science), University of Karachi

  • BS (Applied Mathematics), University of Karachi

Contact Information:

Email: t.mirza@dsu.edu.pk
Extension: 191

Mr. Kamlesh Narwani

Senior Lecturer

 

Academic Background:

  • BE (Telecommunications), Mehran University of Engineering and Technology

  • MS Electronic Information and Communication Engineering, University of Science and Technology Beijing

Experience: 5+ years

Contact Information:

Email: kamlesh.narwani@dsu.edu.pk

Mr. Conrad Walter D’Silva

Senior Lecturer

 

Academic Background:

  • MS (Software Engineering), Bahria University, Karachi

  • BE (Software Engineering), Bahria University, Karachi

Research Interest:

  • Software Engineering
  • Software Project Management
  • Software Quality Assurance

Significant Achievements:

  • HEC Certified Master Trainer (FPDP)

Contact Information:

Email: conrad.dsilva@dsu.edu.pk

Extension: 163

Dr. Muhammad Mobin Idrees

Assistant Professor

 
  • PhD in Computer Science, University of Reading, United Kingdom
  • M.Sc.(Disctinction) Advanced Software Engineering, University of Leicester, United Kingdom
  • M.Sc. Information Technology, Preston University Pakistan
  • Post-Graduation, Information Sciences, University of Karachi, Pakistan
  • B.Sc, University of Karachi, Pakistan
  • Researcher Development Program, University of Reading (UoR), UK
  • Developing Professional Researcher Networks by (Dr Margaret Collin)
  • Prepare to Teach by (Academic Development and Enhancement (ADE) and (Centre for Quality, Support and Development)
  • Running and Interactive Session Online by (Daniel Barker; Moderator: Matt Jones)
  • Basic Statistics Refresher by (James Gallagher)
  • Time & energy management by (Dr Margaret Collin)
  • Writing up your data analysis by (Alessandro Leidi)

Research Publications:

  • Idrees, M. M., Frederic T. S., Atta B. “Adaptive Learning in Extreme Verification Latency and Non-Stationary Environments (VLANSE)” In Progress
  • Idrees, M. M, Leandro L. M., Frederic T. S., Atta B. “A Heterogeneous Online Learning Ensemble for Non-Stationary Environments” Knowledge-Based Systems, Volume 188, 5 January 2020 DOI: 10.1016/j.knosys.2019.104983
  • Jadid, M. N., and Idrees, M., M., “Cost Estimation of Structural Skeleton Using an Interactive Automation Algorithm: A Conceptual Approach”, 2007 Automation in Construction, Vol. 16, pp. 797-805.
    DOI: 10.1016/j.autcon.2007.02.007
  • Jadid, M. N., and Idrees, M., M., “A Geographic Interactive Supply Chain Management System for Construction Projects” World Congress on Engineering and Computer Science. WCECS 2013, October 23 – 25, 2013, San Francisco, USA.
    http://www.iaeng.org/publication/WCECS2013/WCECS2013_pp1076-1080.pdf
  • Idrees, M. M. and Jadid, M. N, “Implementation of a Web-Based Multi- User Task Management System. Fourth International Conference in the 21st Century (CITCIV), “Accelerating Innovation in Engineering, Management and Technology”. July 11-13, 2007, pp. 673-683, Gold Coast, Australia.
  • Jadid, M. N., and Idrees, M., M., “A Strategy for Collecting and Evaluating Information on Engineering Consultant Offices Using Neural Networks: A Case Study”, The Joint International Conference on Computing and Decision Making in Civil and Building Engineering, Montreal, Canada. June 14-16, 2006, pp. 2311-2322 (ISSN: 2706-6568)
    http://itc.scix.net/data/works/att/w78-2006-tf351.pdf

University Funded Projects:

Participated in the following funded University projects:

  • Classification of the Consultants Engineering Offices for the Private Sectors Using Artificial Neural Networks. “A Funded Project by King Abdulaziz City for Research & Science (KACST), under Grant No AB-25-28”.
  • Collecting and Evaluating Information on Engineering Consultant Offices Using Neural Networks.
  • Overcoming Obstacles Facing Contractors in Saudi Arabia “A Funded Project by the Deanship of Graduate Studies and Research of the University of Dammam.

Contact Information:

Email: mobin.idrees@dsu.edu.pk

Engr. Syed Muhammad Farooq Shibli

Senior Lecturer

 

  • MS (Software Engineering), Bahria University, Karachi

  • BS (Computer System Engineering), Bahria University, Karachi

Contact Information:

Email: farooq.shibli@dsu.edu.pk

Extension: 129

Mr. Syed Imran Ali

Senior Lecturer

 
  • PhD (Scholar) (Information Technology) Universiti Kuala Lumpur, Kuala Lumpur, Malaysia
  • MS (Computer Science) Department of Computer Science, Mohammad Ali Jinnah University, Karachi, Pakistan
  • Master of Computer Science (MCS) Department of Computer Science, Mohammad Ali Jinnah University, Karachi, Pakistan

Research Interests:

  •  Software Engineering
  • Machine Learning
  • Internet of Things (IoT) Security

Publications:

Contact Information:

Email: Imran.ali@dsu.edu.pk

Mr. Syed Saad Luqman

Senior Lecturer

 
  • MSCS (Software Engineering), Hamdard University
  • BSCS, Hamdard University

Contact Information:

Email: saad.luqman@dsu.edu.pk

Mr. Adnan Alam Khan

Senior Lecturer

 
  •  MS Software Engineering from PAF-KIET
  • MS Information Technology from Hamdard University
  • Bachelor’s in Science from Karachi University
  • He is a full time Faculty member/Researcher in the field of Artificial Intelligence, Computer Science & Software Engineering. He has worked in Government & University level projects. He has a strong hold on academic related matters like NCEAC, PEC, CIEC etc. He has published 40 Research published papers in local & internationals journals/conferences.

Contact Information:

Email: adnan.alam@dsu.edu.pk

Mr. Muhammad Ayoub Kamal

Senior Lecturer

 

EDUCATION

PhD Scholar, September 2019 – current

University of Kuala Lumpur, Malaysia

Masters of Engineering in Information Technology    2015

Mehran University of Engineering and Technology, Jamshoro, Sindh

Bachelor of Engineering in Computer System Engineering      2012

Mehran University of Engineering and Technology, Jamshoro, Sindh

Senior Lecturer in Computer Science Department, DHA Suffa University

Author of 12 peer-reviewed research publications, two of them      are in HEC W category with Impact

Factor 3.576 Scopus Q1, and 3.120 Scopus Q1, and 05 articles are in HEC X, Y category.

MAJOR COURSES

  • Computer Networks
  • Internet of Things
  • Wireless Networks
  • Computer Concepts and Applications
  • Technology Management
  • Information and Communication Technology
  • Information Technology-II

RESEARCH INTEREST

  • Internet of Things,
  • Long-Range Technology
  • M2M Communication
  • 5G Communication
  • Artificial Intelligence
  • Cloud Computing
  • Computer Networks
  • Industrial IoT

RESEARCH PUBLICATIONS

  1. Muhammad Ayoub Kamal, Muhammad Mansoor Alam, M.S Mazliham, Aznida binti Abu Bakar Sajak, “Requirements, Deployments, and Challenges of LoRa Technology: A Survey”, Computational Intelligence and Neuroscience 2023, 10.1155/2023/5183062. (HEC W Category, IF 3.120 Q1)

  2. Muhammad Ayoub Kamal, Muhammad Mansoor Alam, Mazliham Mohd Su’ud, “Impact of LoRA and 5G on Smart Manufacturing from Automation Perspective.” Journal of Mobile Multimedia (2022): 1355-1378. (HEC X Category Q2)

  3. Muhammad Ayoub Kamal, Hafiz Wahab Raza, Muhammad Mansoor Alam, M.S Mazliham, Aznida binti Abu Bakar Sajak, “Resource Allocation Schemes For 5G Network: A Systematic Review”, Sensors 2021, 21(19), 6588; doi.10.3390/s21196588. (HEC W Category IF 3.576-Q1)

  4. Muhammad Ayoub Kamal, Muhammad Karar Kamal, Muhammad Mansoor Alam, M.S Mazliham, “Context-Aware Perspective Analysis working of RFID Anti-Collision Protocols”, Journal of Independent Studies and Research-Computing, Volume-16, Issue-2, December 2019, pp 1-7. (HEC Y Category)

  5. 5. Muhammad Ayoub Kamal, Hammad Khawar, Muhammad Mansoor Alam, M.S Mazliham, “Play and Learn Case Study on Learning Abilities Through Effective Computing in Games”, 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS), Karachi, Pakistan, 2019, pp. 1-6. IEEE. (Scopus Indexed)

  6. Muhammad Ayoub Kamal, Muhammad Mansoor Alam, M. S. Mazliham “Routers perspective simulation-based analysis of EIGRP and OSPF routing protocol for an organizational model” Int. J. Innov. Technol. Explor. Eng, Volume-9, Issue-4,2020.

  7. Khalid Bin Muhammad, Muhammad Ayoub Kamal, Muhammad Asghar Khan, Laiq Muhammad Khan, “Online Examination System for Higher Education Institutes” Journal of Information & Communication Technology, Volume 16, Issue 1, 2022, pp 26-37. (HEC Y Category)

  8. Muhammad Shahid, Hammad Khawar, Muhammad Ayoub Kamal, “The Mathematical Model for searching the Shortest Route for TB Patients with the help of Dijkstra’s Algorithm.” Sukkur IBA Journal of Computing and Mathematical Sciences 5.2 (2021): 41-48. (HEC Y Category)

  9. Hafiz Wahab Raza, Muhammad Ayoub Kamal, Muhammad Mansoor Alam, M.S Mazliham, “A Review of Middleware Platforms in Internet of Things A Non–Functional Requirements Approach” Journal of Independent Studies and Research-Computing, Volume-18, Issue-1, December 2020, pp 1-8. (HEC Y Category)

  10. Nasir Karim, Muhammad Ayoub Kamal, Mohsin Maknojia, Saifan Rafique, “Arduino Controlled Spy Robo Car using Wireless Camera with Live Streaming” Journal of Information Communication Technology, Volume-13, Issue-1, 1, May, 2019, pp 6-9. (HEC Y Category)

  11. Attra Ali, Muhammad Ayoub Kamal, Laiq Muhammad Khan “Role and Effectiveness of IOT in E-Learning: A Digital Approach for Higher Education” Innovative Computing Review, Volume-3, Issue-1, 6, June, 2023.

  12. Hammad Khawar, Tariq Rahim Soomro, Muhammad Ayoub Kamal, “Machine Learning for Internet of Things-Based Smart Transportation Networks.” Machine Learning for Societal Improvement, Modernization, and Progress. IGI Global, 2022. 112-134. (Book Chapter)

Contact Information:

Email: ayoub.kamal@dsu.edu.pk

Mr. Abdul Salam

Senior Lecturer

 
  • PhD (CS)- in progress. University of Karachi
  • MS(CS) – Federal Urdu University of Arts, Sciences & Technology
  • BS(CS) – Bahria University Karachi

Formerly:

  • Ziauddin University of Engineering, Science, Technology and Management

RESEARCH INTEREST

  • Blockchain
  • Internet of Things
  • WSN (Wireless Sensor Networks)
  • WBASN(Wireless Body Area Sensor Networks)

RESEARCH PUBLICATIONS

  1. Paper title” Evaluating network layer selfish behavior and a method to detect and mitigate its effects on MANETs”, publication in IEEE 15th International Multi Topic Conference INMIC 2012,  Pakistan.

  2. Paper title “Assistive technology for night blindness: a mobile application approach”, published in International Journal of Mobile Learning and Organization, 2013 Vol.7, No.2, pp.140 – 157

  3. Paper title “A class based QoS model for Wireless Body Area Sensor Networks (WBASN)”, published in Research Journal of Recent Sciences, vol. 3, issue 7, July 2014.

  4. Paper title “A novel QoS algorithm for Health Care applications of Body Area Sensor Networks”, published in Journal of Basic and Applied Scientific Research (JBASR),Vol. 4, No. 7, in July, 2014.

  5. Paper title “Assistive technology for Night Blind Tourist: a mobile application approach ” ,IGI, International Journal of E-Services and Mobile Applications (IJESMA) Vol. 6, No. 4, 2014

  6. Paper title” Application Specific Study, Analysis and Classification of Body Area Wireless Sensor Network Applications”, ELSEVIER  Computer Networks(2015)

Contact Information:

Email: abdul.salam@dsu.edu.pk
Extension: 163

Dr. Feroz Khan

Assistant Professor 

 

Hec Approved supervisor

Qualification:
PhD. (Central South University, China), AFHEA

Specialization:
Numerical Analysis, Mathematical Modeling.

Email: feroz.khan@ dsu.edu.pk

Engr. Umair Bin Mansoor 

 Assistant Professor

 • MSc, King Fahd University of Petroleum & Minerals, Saudi Arabia

Research Interests:

• Signal Processing
• Adaptive filters
• Machine learning

Publications:
• Umair bin Mansoor, Syed Muhammad Asad & Azzedine Zerguine, Stochastic Gradient Algorithm Based on an Improved Higher Order Exponentiated Error Cost Function, 48th IEEE Asilomar Conference on Signals, Systems and Computers, 2014
• Quasi-Newton Least Mean Fourth Adaptive Algorithm: Steady-State, Tracking and Transient Analysis, VDM Verlag Dr. Müller (June 16, 2010), ISBN-13: 978-3639262964

Contact Information:
Email: umair.mansoor@dsu.edu.pk
Extension: 110

Mr. Muhammad Farhan Siddiqui

Senior Lecturer

 

PhD Scholar (Electrical Engineering) (Research Area: Software Defined Networks) from Hamdard University
Research Interest: AI, ML, Cyber Security, Computer Networks
ME (Electrical Engineering ) Specialization in Communication Systems and Networks from Hamdard University
BE (Electrical Engineering) majors in Telecommunication Engineering from Hamdard University

Mr. Hafiz Wahab Raza

Senior Lecturer

 

MS-CS (Institute of business and technology, Karachi)

Ms. Mashal Tariq

Senior Lecturer

Mr. Waqas Ahmed Siddique

Senior Lecturer

 

PhD Scholar (Hamdard University)
MS (Sir Syed University of Engineering & Technology)

Ms. Sumeera Hashmi

Senior Lecturer

 
  • MS(SE) Bahria University
  • BCIT-NED University

Contact Information:

Email: sumeera.hashmi@dsu.edu.pk

Ms. Anila Nargis

Senior Lecturer

 
  • MS. Computer Science

Contact Information:

Email: a.nargis@dsu.edu.pk

Mr. Arsal Ahmed

Senior Lecturer

 
  • MS SE
  • Experience: 6.5 years

Contact Information:

Email: arsal.ahmed@dsu.edu.pk

Mr. Usman Saeed Arab

Senior Lecturer

 

Lecturer in KIET in Department of College if Computing and Information Sciences from 2018 to 2024
Cooperative Teacher in NED in Department of Physics University of Engineering and Technology from 2015 to 2016
MS(EE) Automation And Control Bahria University.
M.Sc Applied Physics University of Karachi.
B.Sc (Hons) Applied Physics University of Karachi.
Research Interests IOT and Image Processing

Mr. Hammad Khawar

Senior Lecturer

 

PhD Student (Hamdard University),
MS (Bahria University – Karachi campus)

Engr. Mehran M. Memon

Senior Lecturer

 

Mr. Jahanzeb Khan

Senior Lecturer

 

BS (Computer Engineering) , MS (Computer Networks)
Phd in progress from DSU.

Ms. Hafsa Asif

Junior Lecturer

 

Education :
BS (Software Engineering)from Sir Syed University

Experience:
2023-2024 work at aptech as a faculty member
2022: Work at iortex as a web developer

Research Interest:
Data Science
AI
VR

Research paper: HRTS Repairing Game environment

Contact information:
Email: hafsa.asif@dsu.edu.pk

Ms. Syeda Tehreem Naqvi

Junior Lecturer

 

 Bachelors in Computer Science from DHA Suffa University 2020-2024

Engr. Rabbia M Qasmi

Lecturer

Qualification:

  • MS Electrical Engineering (Control Systems), NUST Pakistan Navy Engineering College
  • B.E. Electrical Engineering, NED University

Contact Information:

Email: rabbia.qasmi@dsu.edu.pk
Extension: 185

Ms. Hina Urooj

Lecturer

–

Engr. Muhammad Shakir khan

Junior Lecturer

 

Bachlors in Software Engineering from sir syed University of Engineering and Teechnology Karachi

Formerly:
2021-Work in Crop2x Company as a intern of flutter developer
2022-2023 work in Techibits Company as PHP and wordpress CMS developer
2023-2024 Work in Aptech North Nazimabad as a faculty and Computer programming Trainer

Research Interests:
* Software Product
* Design & Development of Software
* Virtual Reality Games
* Internet of Things
Research Paper: COMPARISON OF HRTS VR GAME Vs NON-VR BASED GAME TRAINING APPROACH

Ms. Yusra Mansoor

Senior Lecturer

 

Education:

  • MS Computer Science , FAST National University of Computer and Emerging Sciences
  • BS Software Engineering, KIET (Karachi Institute of Economics and Technology)

Areas of interest:

  • Internet of Things
  • Blockchain
  • Network & Security

Contact Information:

Email: yusra.mansoor@dsu.edu.pk

Mr.Muhammad Ajmal

Lecturer

 

 

I have done MS in Computer Science from Bahria University in 2023. I have done BS in Computer Science from Sindh Madressatul Islam University in 2021. I have Seven Years of Teaching experience in different Schools and Colleges including Bahria Foundation College,Happy Palace Grammar School and College.

 

Mr.Afaq

Junior Lecturer

 

Ms. Soohan Abbasi

Lecturer

 

Education:

  • MS (CS), FAST-NUCES, Karachi
  • BE (Computer Systems Engineering), Mehran University Jamshoro.

Contact Information:

Email: soohan.abbasi@dsu.edu.pk
Extension: 205

Mr. Asad Ullah

Lecturer

 

Academic Background:

  1. PhD (computer science) in progress, University of Malakand.
    Research Area: Network System and Security
  1. MS (computer science), Abasyn University Peshawar.
    Research Area: Network System and Security.

  2. BS (Telecommunication and Networking), COMSATS Islamabad (Abbottabad)
  1.  

Research Interests:

  • Network security

  • Cyber security

  • Fog computing

  • Cloud computing

Contact Information:

Email: asadullah@dsu.edu.pk

Ms. Yusra Shahina

Lecturer

 
  1. MS (Computer Science), MAJU
  2. BE (Computer and Information Systems Engineering), NEDUET
  3.  

Contact Information:

Email: yusra.shahina@dsu.edu.pk

Ms. Sumera Rounaq

Lecturer

 

Academic Background:

  • MS (Computer Science), Bahria University, Karachi Campus
  • BS(Software Engineering), UBIT, Karachi University

Research Interests

  • Artificial Intelligence
  • Machine Learning
  • Data Analytics
  • Deep learning
  • Computer Vision
  • Generative AI

Publications:

  • Rounaq, Sumera and Muhammad Shaikh, Dr.Ghulam and Siddiqui, Dr.
    Raheel, Detection of Covid-19 Cases Using Gan (Generative Adversarial
    Network).
    Available at SSRN: https://ssrn.com/abstract=4427075
  •  Rounaq, Sumera, and Muhammad Iqbal. “Vision, Challenges and
    Future Perspectives of Low Constrained Devices IOT Operating Systems: A
    Systematic Mapping Review.” *European Journal of Engineering and Technology
    Research *5.12 (2020): 107-115.

Experience:

  1. Indus University, Karachi (Lecturer 1 year)

  2. Tameer Microfinance Bank (Assistant Manager- Core Banking
    Developer  2 Years)

  3. Verticity (Software Engineer 1 Year)

Contact Information:

Email:  sumera.rounaq@dsu.edu.pk

Ms. Durr-e-Shahwar

Lab Instructor

 

Academic Background:

  • MSc. (Computer Science), KASBIT

Contact Information:

Email: durre.shehwar@dsu.edu.pk

Mr. Wilayat Shah

Lab Instructor

 
  • BS Telecom and Networking (COMSATS Abbottabad)

Contact Information:

Email: wilayat.shah@dsu.edu.pk

Ms. Fiza Fayyaz

Junior Lecturer

 

currently enrolled in masters in Computer science from dha suffa
– graduated from dha suffa in 2024 ,did Bachelors in cs ,dha suffa
– ⁠A levels from whales college
– ⁠o levels from beacon house school system
– ⁠ fizzafayyaz801@gmail.com

Ms. Tahira Ansari

Junior Lecturer

 

Tahira Ansari is a dedicated junior lecturer in the Department of Computer Science. Holding a Bachelor of Science in Information Technology degree and a Master’s degree in Computer Science from DHA Suffa University, she teaches programming, C, C++, Java, assembly language, and carries out research in computer vision and artificial intelligence. With over two years of teaching experience at the Institute of Business Management, Ms. Ansari is famous for blending of theoretical and practical learning concepts.