Saeed Ahmed

Hardworking Postdoctoral Research Fellow with demonstrated record of research success in. Self-directed and motivated professional with highly-ethical, meticulous and thorough approach. Committed postdoctoral researcher with 2 years of experience using cutting edge technology to generate and share important information with the academic community. Networked with elite research teams from Lund University institutions to develop and improve research protocols for field. Conducted complicated research with integrity and great attention to detail.

• Date of Birth: 02/02/87
• Gender: Male
• Nationality: Pakistani

Blidvädersvägen 4H, lgh 1703, Lund, Skåne, 22275, Sweden

• Mobile, (+92) 03443820531
• Mobile, (+46) 0736412410

saeedbuner

• Postgraduate Full Scholarship, Awarded by the Chinese Government via the Chinese Scholarship Council (CSC) for Ph.D. in Computer Science and Technology at Nanjing University of Science & Technology, China., 09/01/16, 06/30/20
• International Postdoctoral Fellowship Fund 2021, Received from the Faculty of Medical Technology, University of Mahidol, Bangkok, Thailand., 06/01/21, 02/28/22
• Merit Scholarship, During M.S. at Abdul Wali Khan University Mardan.
• Merit Scholarship, At B.S. University of Science and Technology, Bannu.

• 2024, A Deep Learning Model for Detecting Fake Medical Images to Mitigate Financial Insurance Fraud, M A Arshed, S Mumtaz, S tefan C Gherghina, N Urooj, S Ahmed, and C Dewi; Computation 2024, 12, 173.
• 2024, A novel deep learning identifier for promoters and their strength using heterogeneous features, A Amjad, S Ahmed, MKabir, M Arif, T Alam, 19 August 2024, Methods.
• 2024, A Computational Predictor for Accurate Identification of Tumor Homing Peptides by Integrating Sequential and Deep BiLSTM Features, R Arif, S Kanwal, S Ahmed & MKabir, 11 May 2024, Vol 16, pages 503-518, Computational Life Sciences.
• 2024, A Comparative Review and Analysis of Computational Predictors for Identification of Enhancer and their Strength, M Gill, M Kabir, S Ahmed, M A Subhani, and MHayat; Current Bioinformatics, xxxx, xx, x-x.
• 2024, An explainable stacking-based approach for accelerating the prediction of antidiabetic peptides, F Arshad, S Ahmed, A Amjad, and M Kabir; 25 April 2024, 115546; Analytical Biochemistry.
• 2024, A novel stacking-based predictor for accurate prediction of antimicrobial peptides, S Kanwal, R Arif, S Ahmed and M Kabir; Journal of Biomolecular Structure and Dynamics [J], 1-12.
• 2024, A 16 × 16 Patch-Based Deep Learning Model for the Early Prognosis of Monkeypox from Skin Color Images, M A Arshed,H A, Rehman, S Ahmed, C Dewi, and H J Christanto; Computation 2024, 12(2), 33.
• 2024, Multiclass AI-Generated Deepfake Face Detection Using Patch-Wise Deep Learning Model, M. A. Arshed, S. Mumtaz,M. Ibrahim,C. Dewi ,M. Tanveer and S. Ahmed.
• 2023, A Novel Predictor for the Analysis and Prediction of Enhancers and Their Strength via Multi-View Features and Deep Forest, M Gill,S Ahmed,M Kabir, and M Hayat; Information 14.12 (2023): 636.
• 2023, Chem2Side: A Deep Learning Model with Ensemble Augmentation (Conventional+Pix2Pix) for COVID-19 Drug Side-Effects Prediction from Chemical Images, M A Arshed,M Ibrahim,S Mumtaz, M Tanveer and S Ahmed, Information 14.12 (2023): 663.
• 2023, Multi-class skin cancer classification using vision transformer networks and convolutional neural network-based pre-trained models, Arshed, M. A., Mumtaz, S., Ibrahim, M., Ahmed, S., Tahir, M., & Shafi, M..Information,14(7), 415.
• 2023, IoT Based Smart Baby Monitoring System with Emotion Recognition Using Machine Learning, Hina Alam, Muhammad Burhan, Anusha Gillani, Ihtisham ul Haq, Muhammad Asad Arshed, Muhammad Shafi, and Saeed Ahmad.
• 2022, PredAoDP: Accurate Identification of Antioxidant Proteins by Fusing Different Descriptors Based on Evolutionary Information with Support vector machine., S Ahmed, M. Kabir
• M. Arif, K. Khan, Y. D Khan; Accepted, [J] Chemometrics and Intelligent Laboratory Systems.
• 2022, AMY-FRL: a novel sequence-based approach for accurate prediction of amyloid proteins by using feature representation learning., P Charoenkwan, S Ahmed, C Nantasenamat, W Shoombuatong
• ; [J] Scientific Report.
• 2022, SCORPION is a stacking-based ensemble-learning framework for accurate prediction of phage Virion proteins., S Ahmed, P Charoenkwan, J M.W. Quinn, M A Moni, Md Mehedi Hasan, Pietro Lio' and W Shoombuatong; [J] Scientific Report.
• 2022, StackACPred: prediction of anticancer peptides by integrating optimized multiple feature descriptors with stacked ensemble approach., M Arif, S Ahmed, M Kabir, and D-J Yu
• ; [J] Chemometrics and Intelligent Laboratory Systems.
• 2021, DeepCPPred: a deep learning framework for discrimination of cell-penetrating peptides and their uptake efficiencies., M Arif, M Kabir
• S Ahmed, A Khan, G Feng, A Khelifi, DJ Yu; [J] IEEE/ACM Transactions on Computational Biology and Bioinformatics.
• 2021, DeepPPSite: A deep learning-based model for analysis and prediction of phosphorylation sites using efficient sequence information., S Ahmed, M Kabir, M Arif, Z U Khan and D.J Yu
• ; [J] Analytical Biochemistry.
• 2020, TargetCPP: accurate prediction of cell-penetrating peptides from optimized multiscale features using gradient boost decision tree., M Arif, S Ahmad, F Ali, G Fang, M Li, DJ Yu; [J] Journal of Computer-Aided Molecular Design.
• 2020, HPhosPPred: Prediction of human phosphorylated proteins by extracting discriminative features from the evolutionary profile and physicochemical properties through LFDA., S Ahmad
• M Kabir
• M Arif, Z Ali and ZNK Swati; [J] Chemometrics and Intelligent Laboratory Systems.
• 2020, Pred-BVP-Unb: Fast Prediction of Bacteriophage Virion Proteins Using Un-Biased Multi-Perspective Properties with Recursive Feature Elimination., M. Arif, F Ali, S Ahmad, M Kabir, Z Ali and M Hayat; [J] Genomics.
• 2020, iNR-2L: a two-level sequence-based predictor developed via Chou's 5-steps rule and general PseAAC for identifying nuclear receptors and their families., M Kabir, S Ahmad, M Iqbal, and M Hayat; [J] Genomics.
• 2020, SDBP-Pred: Prediction of single-stranded and double-stranded DNA-binding proteins by extending consensus sequence and K-segmentation strategies into PSSM., F Ali, S Ahmad, M Kabir, M Arif, ZU Khan, and DJ Yu; [J] Analytical Biochemistry.
• 2019, DP-BINDER: machine learning model for prediction of DNA-binding proteins by fusing evolutionary and physicochemical information., F Ali, S Ahmed, ZNK Swati, S Akbar; [J] Journal of Computer-Aided Molecular Design.
• 2019, Content-Based Brain Tumors Retrieval for MR Images Using Transfer Learning., ZNK Swati, QH Zhao, M Kabir, Z Ali, F Ali, S Ahmad, and JF Lu; [J] IEEE Access.
• 2019, Brain Tumor Classification for MR Images using Transfer Learning and Fine-Tuning., ZNK Swati, QH Zhao, M Kabir, S Ahmad, Z Ali, and JF Lu; [J] Computerized Medical Imaging and Graphics.
• 2019, Prediction of membrane protein types by exploring local discriminative information from evolutionary profiles., M Kabir, M Arif, S Ahmad, F Ali, ZNK Swati, and DJ Yu; [J] Analytical Biochemistry.
• 2019, iDTi-CSsmoteB: identification of drug-target interaction based on drug chemical structure and protein sequence using XGBoost with over-sampling technique., SMH Mahmud, W Chen, H Jahan, Y Liu, NI Sujan, S Ahmed.
• 2018, An Integrated Feature Selection algorithm for Cancer Classification using Gene Expression Data., S Ahmad, M Kabir, Z Ali, M Arif, DJ Yu; [J] Combinatorial Chemistry & High Throughput Screening.
• 2018, Improving secretary proteins prediction in Mycobacterium tuberculosis using oversampling technique with combination of support vector machine., S Ahmad, M Kabir, M Arif, Z Ali, F Ali, and ZNK Swati; [J] International Journal of Data Mining and Bioinformatics.
• 2018, Intelligent computational method for discrimination of anticancer peptides by incorporating sequential and evolutionary profiles information., M Kabir, M Arif, S Ahmad, Z Ali, ZNK Swati, and DJ Yu; [J] Chemometrics and Intelligent Laboratory Systems.
• 2018, Improving prediction of extracellular matrix proteins using evolutionary information via a grey system model and asymmetric under-sampling technique., M Kabir, M Iqbal, S Ahmad, ZNK Swati, Z Liu, and DJ Yu; [J] Chemometrics and Intelligent Laboratory Systems.
• 2017, Bi-PSSM: Position specific scoring matrix based intelligent computational model for identification of mycobacterial membrane proteins., M Khan, M Hayat, SA Khan, S Ahmad, N Iqbal; [J] Journal of theoretical biology.
• 2015, Identification of heat shock protein families and J-protein types by incorporating Dipeptide composition into Chou's general PseAAC., S Ahmad, M Kabir, and M Hayat; [J] Computer Methods and Programs in Biomedicine.
• 2015, iTIS-PseKNC: Identification of Translation Initiation site in human genes using pseudo k-tuple Nucleotides Composition., M Kabir, M Iqbal, S Ahmad, and M Hayat; [J] Computers in Biology and Medicine.

• Prof. Dr. Mauno Vihinen, Full Professor, +46725260022, mauno.vihinen@med.lu.se, Faculty of Medicine, Department of Experimental Medical Science, https://portal.research.lu.se/en/persons/mauno-vihinen
• Dr. Watshara Shoombuatong, Associate Professor, +66 939384256, watshara.sho@mahidol.ac.th, Center of Data Mining and Biomedical Informatics, University of Mahidol, Bangkok, Thailand
• Prof. Dong-Jun Yu, Professor, +86-136-01456676, njyudj@njust.edu.cn, School of Computer Science and Engineering, Nanjing University of Science & Technology, P.R. China, http://csbio.njust.edu.cn/djyu/
• Dr. Maqsood Hayat, Associate Professor, +92-308-5598123, m.hayat@awkum.edu.pk or Maqsood.hayat@gmail.com, Department of Computer Science, Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa, Pakistan, https://www.awkum.edu.pk/Departments/Computer_Science/CS_Faculty_Maqsood_Hayat.html