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Dr. Akram Hussain

Assistant Professor

  • PhD (Computer Science and Technology), Shanghai Jiao Tong University, Shanghai,
    China – 2025
  • MSc (Computer Science and Technology), Shanghai Jiao Tong University, Shanghai,
    China – 2018
  • BE (Computer System Engineering), Hamdard University, Karachi, Pakistan – 2014

About

Dr. Akram Hussain is currently working as an assistant professor in Department of Computer Science since Feb. 2025. He received PhD and MSc degrees in Computer Science and Technology from Shanghai Jiao Tong University, Shanghai, China, availing Shanghai Government Scholarship and University Scholarship, respectively. He also worked at KIET University, DHA Suffa Univeristy, and Sukkur IBA University, Sukkur. His teaching interests include Data Structures, Analysis of Algorithms, Artificial Intelligence, and Data Science.

Area of Expertise

Internet of Things, AI, Reinforcement Learning for Wireless Communications, Integrated
Sensing and Communications (ISAC), Learning from Noisy Data.

Awards and Honors

Research Publications

1. A. Hussain and M. Fahad, S. Siddiqui, and M. S. Siddiqui, “Detecting malicious clients
based on autoencoders in federated learning for indoor localization,” IEEE Access, vol.
14, pp. 45648 – 45657, March 2026.

2. A. Hussain and M. Fahad, “Semi-supervised clustered federated learning based indoor
localization with Non-IID data,” The Journal of Supercomputing, vol. 81, no. 8, article
no. 962, June 2025.
3. A. Hussain and Y. Luo, “Spatial Correlations Based Fault Tolerant Source Localization
using Wireless Sensor Networks,” ACM Transactions on Sensor Networks, vol. 21, no. 2,
article no. 20, 2025.

4. H. Beenish, T. Javid, M. Fahad, and A. Hussain, “Driver Behavior Detection and
Automatic Brake Assistance for Intelligent Transportation Systems,” Pakistan Journal of
Engineering Technology and Science (PJETS), vol. 12, no. 2, pp. 116-124, December,
2024.
5. A. Hussain and Y. Luo, “Decentralized Fault Tolerant Source Localization without
Sensor Parameters in Wireless Sensor Networks,” Performance Evaluation, vol. 163,
article no. 102395, January, 2024.

Conference Papers:
1. A. Hussain and Y. Luo, “Privacy aware contact tracing by exploiting social networks in
viral disease outbreaks,” IEEE Global Communication Conference (GLOBECOM),
December 7 – 11, Taipei, Taiwan, China, 2020.

2. A. Hussain, X. Yu, and Y. Luo, “Generalized bidirectional limited magnitude error
correcting code for MLC Flash memories,” 11th Annual International Conference on
Combinatorial Optimization and Applications (COCOA’17), December 16 – 18,
Shanghai, China, pp. 450-461, 2017.

 

Publications & Research Work

Dr. Muhammad Shahnawaz Adil

Dr. Muhammad Shahnawaz Adil is an Associate Professor of Leadership and Strategic Management at Iqra University, Karachi. He holds more than 17 years of full-time university teaching, research, mentorship, and graduate thesis supervision experience. Additionally, he has been serving as the Cluster Head (Management) since January 2020 at the Main Campus. He is currently a member of the advisory and review boards of 18 national and international scholarly journals. 

He has presented various research ideas at international conferences abroad and has published over 25 research papers in national and international journals with 700+ Google citations. He has also authored a monograph on Leadership and Strategy published in Germany. He is an HEC-approved PhD supervisor and five Ph.D. candidates are going to complete their doctoral thesis under his sole supervision. In addition to supervising several industrial projects, 32 MPhil and hundreds of MBA students have successfully passed their research thesis in the Management discipline under his sole supervision. His research interests include the dark side of leadership, workplace mistreatment, multilevel modeling, and creative performance in higher education. He completed a ten-day comprehensive Training of Trainers conducted by Sindh HEC in May 2023.

Dr. Shahnawaz earned his Ph.D. degree in Management from an AACSB and AMBA-accredited business school of Malaysia in 2021. Earlier, he received his MPhil from Iqra University, a ‘triple-crown’ (AACSB, AMBA, and EQUIS-accredited) MBA from Newcastle University (UK), Postgraduate Diploma from Stratford College London (UK), and B.Sc. (Honours) with Distinction from London Metropolitan University, UK. He has secured seven consecutive distinctions in his academic career and has clinched First Class First Position at Sindh Board of Technical Education. He has been associated with Iqra University as a permanent faculty member in the Department of Business Administration since August 2008. His main hobbies include horse-riding, playing scrabble, cooking, bird-farming, and long driving.

1. A. Hussain and M. Fahad, S. Siddiqui, and M. S. Siddiqui, “Detecting malicious clients
based on autoencoders in federated learning for indoor localization,” IEEE Access, vol.
14, pp. 45648 – 45657, March 2026.

2. A. Hussain and M. Fahad, “Semi-supervised clustered federated learning based indoor
localization with Non-IID data,” The Journal of Supercomputing, vol. 81, no. 8, article
no. 962, June 2025.
3. A. Hussain and Y. Luo, “Spatial Correlations Based Fault Tolerant Source Localization
using Wireless Sensor Networks,” ACM Transactions on Sensor Networks, vol. 21, no. 2,
article no. 20, 2025.

4. H. Beenish, T. Javid, M. Fahad, and A. Hussain, “Driver Behavior Detection and
Automatic Brake Assistance for Intelligent Transportation Systems,” Pakistan Journal of
Engineering Technology and Science (PJETS), vol. 12, no. 2, pp. 116-124, December,
2024.
5. A. Hussain and Y. Luo, “Decentralized Fault Tolerant Source Localization without
Sensor Parameters in Wireless Sensor Networks,” Performance Evaluation, vol. 163,
article no. 102395, January, 2024.

Conference Papers:
1. A. Hussain and Y. Luo, “Privacy aware contact tracing by exploiting social networks in
viral disease outbreaks,” IEEE Global Communication Conference (GLOBECOM),
December 7 – 11, Taipei, Taiwan, China, 2020.

2. A. Hussain, X. Yu, and Y. Luo, “Generalized bidirectional limited magnitude error
correcting code for MLC Flash memories,” 11th Annual International Conference on
Combinatorial Optimization and Applications (COCOA’17), December 16 – 18,
Shanghai, China, pp. 450-461, 2017.