Dr. Sheraz Aslam

Journal Publications

[61]. Ali, Zulfiqar and Muhammad, Asif and Adnan, Rubina and Alkhalifah, Tamim and S. Aslam. Evaluating Machine Unlearning: Applications, Approaches, and Accuracy, Engineering Reports, 2024. PDF

[60]. Prasad, V.K., Verma, A., Bhattacharya, P., S. Aslam. et al. Revolutionizing healthcare: a comparative insight into deep learning’s role in medical imaging. Sci Rep 14, 30273 (2024). PDF

[59]. Nadeem Javaid and S. Aslam,Enhancing Clinical Decision Support withExplainable Deep Learning Framework forC-Section Forecasting, Computing, Springer, 2024.  PDF 

[58]. N. Evmides, S. Aslam, T. T. Ramez, M. P. Michaelides, and H. Herodotou, “Enhancing prediction accuracy of vessel arrival times using machine learning.,” Journal of Marine Science and Engineering, vol. 12, no. 8, p. 1362, 2024. PDF OR  Data and Source Code

[57]. S. Aslam, M. P. Michaelides, and H. Herodotou, “Optimizing multi-quay combined berth and quay crane allocation using computational intelligence.,” Journal of Marine Science and Engineering, vol. 12, no. 9, p. 1567, 2024. PDF

[56]. S. Aslam, M. P. Michaelides, and H. Herodotou, “A survey on computational intelligence approaches for intelligent marine terminal operations,” IET Intelligent Transport Systems, 2024. PDF

[55]. H.Khan, N.Javaid, T. Bashir, M. Akbar, N. Alrajeh, and S. Aslam, “Heart disease prediction using novel ensemble and blending based cardiovascular disease detection networks: Enscvdd-net and blcvdd-net,” IEEE Access, 2024. PDF

[54]. S.Manzoor,S.Mustafa, K. Gulzar, S. Aslam, et al., “Multifuzztops: A fuzzy multi-criteria decision-making model using type-2 soft sets and topsis,” Symmetry, vol. 16, no. 6, p. 655, 2024. PDF

[53]. I.Shaheen,N.Javaid, N. Alrajeh, Y. Asim, and S. Aslam, “Hi-le and hitcle: Ensemble learning approaches for early diabetes detection using deep learning and explainable artificial intelligence,” IEEE Access, 2024. PDF

[52]. Z.U.R.Afridi, K. Ullah, M. F. Mustafa, H. Saleem, and S. Aslam, “Biogas as sustainable approach for social uplift in south east asian region,” Energy Reports, vol. 10, pp. 4808–4818, 2023. PDF

[51]. S.Ahmed, Z.A.Khan, S.M.Mohsin, S. Latif, and S. Aslam, “Effective and efficient ddos attack detection using deep learning algorithm, multi-layer perceptron,” Future Internet, vol. 15, no. 2, p. 76, 2023. PDF

[50]. T.Ali,S.A.Malik, A. Daraz, M. Adeel, S. Aslam, and H. Herodotou, “Load frequency control and automatic voltage regulation in four-area interconnected power systems using a gradient-based optimizer,” Energies, vol. 16, no. 5, p. 2086, 2023. PDF

[49]. W.Ali,M.Imran,M.U.Yaseen, K. Aurangzeb, N. Ashraf, and S. Aslam, “A transfer learning approach for facial paralysis severity detection,” IEEE Access, 2023. PDF

[48]. N.Ashraf,S.Sharma, S. Aslam, and K. Aurangzeb, “Making tradable white certificates trustworthy, anonymous, and efficient using blockchains,” Energy Reports, vol. 10, pp. 4574–4581, 2023 PDF

[47]. S. Aslam, M.P.Michaelides, and H. Herodotou, “Berth allocation considering multiple quays: A practical approach using cuckoo search optimization,” Journal of Marine Science and Engineering, vol. 11, no. 7, p. 1280, 2023 PDF

[46]. A. Daraz, S. A. Malik, A. Basit, S. Aslam, and G. Zhang, “Modified fopid controller for frequency regulation of a hybrid interconnected system of conventional and renewable energy sources,” Fractal and Fractional, vol. 7, no. 1, p. 89, 2023 PDF

[45]. K. Gulzar, M. Ayoob Memon, S. M. Mohsin, S. Aslam, S. M. A. Akber, and M. A. Nadeem, “An efficient healthcare data mining approach using apriori algorithm: A case study of eye disorders in young adults,” Information, vol. 14, no. 4, p. 203, 2023. PDF

[44]. M. Iqbal, Z. Ullah, I. A. Khan, and S. Aslam, “Optimizing task execution: The impact of dynamic time quantum and priorities on round robin scheduling,” Future Internet, vol. 15, no. 3, p. 104, 2023 PDF

[43]. S.Latif, X. Fang, S. M. Mohsin, S. M. A. Akber, and S. Aslam, “An enhanced virtual cord protocol based multi-casting strategy for the effective and efficient management of mobile ad hoc networks,” Computers, vol. 12, no. 1, p. 21, 2023. PDF

[42]. K. Mustafa, S. Khan, S. Aslam, et al., “Towards holistic energy management by electricity load and price forecasting: A comprehensive survey,” IEEE Access, 2023.PDF

[41]. A.Saeed, E. Shahzad, A. U. Khan, A. Waseem, and S. Aslam, “Three-pond model with fuzzy inference system-based water level regulation scheme for run-of-river hydropower plant,” Energies, vol. 16, no. 6, p. 2678, 2023. PDF

[40]. F.Shehzad, Z. Ullah, M. Alhussain, K. Aurangzeb, and S. Aslam, “Deep learning based meta-learner strategy for electricity theft detection,” Frontiers in Energy Research, vol. 11, p. 1 232 930, 2023. PDF

[39]. K.Ullah,Z. Ullah, S. Aslam, et al., “Wind farms and flexible loads contribution in automatic generation control: An extensive review and simulation,” Energies, vol. 16, no. 14, p. 5498, 2023. PDF

[38]. S.M.Abbas, N.Javaid, A. T. Azar, U. Qasim, Z. A. Khan, and S. Aslam, “Towards enhancing the robustness of scale-free iot networks by an intelligent rewiring mechanism,” Sensors, vol. 22, no. 7, p. 2658, 2022 PDF

[37]. T.Ali,S. A. Malik, A. Daraz, S. Aslam, and T. Alkhalifah, “Dandelion optimizer-based combined automatic voltage regulation and load frequency control in a multi-area, multi-source interconnected power system with nonlinearities,” Energies, vol. 15, no. 22, p. 8499, 2022 PDF

[36]. Z. Ali, K. N. Qureshi, K. Mustafa, R. Bukhsh, and S. Aslam, “Edge based priority-aware dynamic resource allocation for internet of things networks,” Entropy, vol. 24, no. 11, p. 1607, 2022. PDF

[35]. R.Asghar, Z. Ullah, B. Azeem, and S. Aslam, “Wind energy potential in pakistan: A feasibility study in sindh province,” Energies, vol. 15, no. 22, p. 8333, 2022. PDF

[34]. T.Ashfaq, R. Khalid, A. S. Yahaya, and S. Aslam, “A machine learning and blockchain based efficient fraud detection mechanism,” Sensors, vol. 22, no. 19, p. 7162, 2022. PDF

[33]. T.Ashfaq, R. Khalid, A. S. Yahaya, and S. Aslam, “An intelligent automated system for detecting malicious vehicles in intelligent transportation systems,” Sensors, vol. 22, no. 17, p. 6318, 2022. PDF

[32]. S. Aslam, M.P.Michaelides, and H. Herodotou, “Enhanced berth allocation using the cuckoo search algorithm,” SN Computer Science, vol. 3, no. 4, p. 325, 2022. PDF

[31]. K.Aurangzeb, S. Aslam, S. I. Haider, et al., “Energy forecasting using multiheaded convolutional neural networks in efficient renewable energy resources equipped with energy storage system,” Transactions on Emerging Telecommunications Technologies, vol. 33, no. 2, e3837, 2022. PDF

[30]. N.Ayub,U.Ali, K. Mustafa, S. M. Mohsin, and S. Aslam, “Predictive data analytics for electricity fraud detection using tuned cnn ensembler in smart grid,” Forecasting, vol. 4, no. 4, pp. 936–948, 2022. PDF

[29]. A.Daraz,S. A. Malik, A. T. Azar, S. Aslam, T. Alkhalifah, and F. Alturise, “Optimized fractional order integral-tilt derivative controller for frequency regulation of interconnected diverse renewable energy resources,” IEEE Access, vol. 10, pp. 43514–43527, 2022. PDF

[28]. H. Herodotou and S. Aslam, “Data-intensive computing in smart microgrids: Volume ii,” Energies, vol. 15, no. 16, p. 5833, 2022. PDF

[27]. A. Khan, S. Aslam, K. Aurangzeb, M.  Alhussein, and N. Javaid, “Multiscale modeling in smart cities: A survey on applications, current trends, and challenges,” Sustainable cities and society, vol. 78, p. 103517, 2022. PDF

[26]. A. Khattak, R. Bukhsh, S. Aslam, A. Yafoz, O. Alghushairy, and R. Alsini, “A hybrid deep learning-based model for detection of electricity losses using big data in power systems,” Sustainability, vol. 14, no. 20, p. 13 627, 2022. PDF

[25]. G.F.Laghari, S. A. Malik, A. Daraz, A. Ullah, T. Alkhalifah, and S. Aslam, “A numerical approach for solving nonlinear optimal control problems using the hybrid scheme of fitness dependent optimizer and bernstein polynomials,” IEEE Access, vol. 10, pp. 50298–50313, 2022. PDF

[24]. M.A.Nawaz,B.Khan,S.M.Ali, and S. Aslam, “Intelligent sensors and environment driven biological comfort control based smart energy consumption system,” Electronics, vol. 11, no. 16, p. 2622, 2022. PDF

[23]. Pamir,N.Javaid, S. Javaid, and S. Aslam, “Synthetic theft attacks and long short term memory-based preprocessing for electricity theft detection using gated recurrent unit,” Energies, vol. 15, no. 8, p. 2778, 2022. PDF

[22]. F.Shehzad, N. Javaid, S. Aslam, and M. U. Javed, “Electricity theft detection using big data and genetic algorithm in electric power systems,” Electric Power Systems Research, vol. 209, p. 107975, 2022. PDF

[21]. K.Ullah, A. Basit, Z. Ullah, R. Asghar, S. Aslam, and A. Yafoz, “Line overload alleviations in wind energy integrated power systems using automatic generation control,” Sustainability, vol. 14, no. 19, p. 11 810, 2022. PDF

[20]. K.Ullah,Q.Jiang, G. Geng, R. A. Khan, S. Aslam, and W. Khan, “Optimization of demand response and power-sharing in microgrids for cost and power losses,” Energies, vol. 15, no. 9, p. 3274, 2022. PDF

[19]. A.Waheed,M.A.Shah, S. M. Mohsin, and S. Aslam, “A comprehensive review of computing paradigms, enabling computation offloading and task execution in vehicular networks,” IEEE Access,
vol. 10, pp. 3580–3600, 2022 PDF

[18]. S. Aslam, H.Herodotou, S. M. Mohsin, N. Javaid, N. Ashraf, and S. Aslam, “A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids,” Renewable and Sustainable Energy Reviews, vol. 144, p. 110992, 2021. PDF

[17]. K.Aurangzeb, S. Aslam, M. Alhussein, R. A. Naqvi, M. Arsalan, and S. I. Haider, “Contrast enhancement of fundus images by employing modified pso for improving the performance of deep learning models,” IEEE Access, vol. 9, pp. 47930–47945, 2021. PDF

[16]. K.Aurangzeb, S. Aslam, S. M. Mohsin, and M. Alhussein, “A fair pricing mechanism in smart grids for low energy consumption users,” IEEE Access, vol. 9, pp. 22035–22044, 2021. PDF

[15]. A. Daraz, S. A. Malik, A. Waseem, A. T. Azar, and S. Aslam, “Automatic generation control of multi-source interconnected power system using foi-td controller,” Energies, vol. 14, no. 18, p. 5867, 2021 PDF

[14]. S. Khan, M. B. Amin, A. T. Azar, and S. Aslam, “Towards interoperable blockchains: A survey on the role of smart contracts in blockchain interoperability,” IEEE Access, vol. 9, pp. 116 672–116 691, 2021. PDF

[13]. S. Khan, S. Aslam, I. Mustafa, and S. Aslam, “Short-term electricity price forecasting by employing ensemble empirical mode decomposition and extreme learning machine,” Forecasting, vol. 3, no. 3, p. 28, 2021. PDF

[12]. K. Ullah, A. Basit, Z. Ullah, S. Aslam, and H. Herodotou, “Automatic generation control strategies in conventional and modern power systems: A comprehensive overview,” Energies, vol. 14, no. 9, p. 2376, 2021. PDF

[11]. Z.-X. Yu, M.-S. Li, Y.-P. Xu, S. Aslam, and Y.-K. Li, “Techno-economic planning and operation of the microgrid considering real-time pricing demand response program,” Energies, vol. 14, no. 15, p. 4597, 2021. PDF

[10]. S. Aslam, M. P. Michaelides, and H. Herodotou, “Internet of ships: A survey on architectures, emerging applications, and challenges,” IEEE Internet of Things journal, vol. 7, no. 10, pp. 9714–9727, 2020.PDF

[9]. I. Mustafa, I. U. Khan, S. Aslam, et al., “A lightweight post-quantum lattice-based rsa for secure communications,” IEEE Access, vol. 8, pp. 99 273–99 285, 2020. PDF

[8]. I. Mustafa, H. Mustafa, A. T. Azar, S. Aslam, and S. M. Mohsin, “Noise free fully homomorphic encryption scheme over non-associative algebra,” IEEE Access, vol. 8, pp. 136 524–136 536, 2020. PDF

[7]. M. S. Qureshi, M. B. Qureshi, M. Fayaz, M. Zakarya, S. Aslam, and A. Shah, “Time and cost efficient cloud resource allocation for real-time data-intensive smart systems,” Energies, vol. 13, no. 21, p. 5706, 2020. PDF

[6]. R. Khalid, N. Javaid, M. H. Rahim, S. Aslam, and A. Sher, “Fuzzy energy management controller and scheduler for smart homes,” Sustainable Computing: Informatics and Systems, vol. 21, pp. 103–118, 2019. PDF

[5]. Z. A. Khan, A. Zafar, S. Javaid, S. Aslam, M. H. Rahim, and N. Javaid, “Hybrid meta-heuristic optimization based home energy management system in smart grid,” Journal of Ambient Intelligence and Humanized Computing, vol. 10, pp. 4837–4853, 2019. PDF

[4]. S. Aslam, N. Javaid, F. A. Khan, A. Alamri, A. Almogren, and W. Abdul, “Towards efficient energy management and power trading in a residential area via integrating a grid-connected microgrid,” Sustainability, vol. 10, no. 4, p. 1245, 2018. PDF

[3]. Z. Iqbal, N. Javaid, S. Iqbal, S. Aslam, and Z. A. Khan, “A domestic microgrid with optimized home energy management system,” Energies, vol. 11, no. 4, p. 1002, 2018. PDF

[2]. A. Khalid, S. Aslam, K. Aurangzeb, S. I. Haider, M. Ashraf, and N. Javaid, “An efficient energy management approach using fog-as-a-service for sharing economy in a smart grid,” Energies, vol. 11, no. 12, p. 3500, 2018. PDF

[1]. S. Aslam, Z. Iqbal, N. Javaid, Z. A. Khan, K. Aurangzeb, and S. I. Haider, “Towards efficient energy management of smart buildings exploiting heuristic optimization with real time and critical peak pricing schemes,” Energies, vol. 10, no. 12, p. 2065, 2017. PDF