Ann-marie Moiwo | Government and Public Policy Analysis | Best Research Article Award

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Ms. Ann-marie Moiwo | Government and Public Policy Analysis | Best Research Article Award

Njala University | Sierra Leone

Ann-Marie Moiwo is a dynamic professional with interdisciplinary training in international relations, public administration, and the social sciences. She holds a Master’s degree in International Relations from Renmin University and a Master of Public Administration from Njala University, supported by a strong academic foundation in History and Sociology from Fourah Bay College. Her professional experience spans administrative management, organizational coordination, research operations, and executive support across institutions in the public, private, and development sectors. She has contributed to nationwide research initiatives, supported high-level decision-making processes, and provided strategic and logistical support within academic and corporate environments. Her research interests include governance, public policy, international development, gender studies, and sociopolitical systems in West Africa. Passionate about evidence-based policy and institutional strengthening, she aims to advance impactful research and contribute to solutions addressing national and global development challenges. Ann-Marie has been recognized for her diligence, discipline, and strong work ethic, consistently demonstrating the capacity to thrive in fast-paced, multicultural, and high-responsibility environments. She remains committed to continuous learning, professional growth, and service within institutions that value integrity, innovation, and social transformation.

Profile : Orcid

Featured Publications

Genealogy as Analytical Framework of Cultural Evolution of Tribes, Communities, and Societies Ann-Marie Moiwo, Massaquoi, D., Moiwo, T. W., Sam, M., & Moiwo, J. P. (2025). Genealogy as analytical framework of cultural evolution of tribes, communities, and societies. Genealogy, 9(4).

Comparative Analysis of Neglected Attenuation and Negotiated Intervention Pathways to Conflict Resolution for Lasting Peace Juana, J., Moiwo, J. P., Challay, S., Bebeley, S. J., Mbavai, J. J., Yeganegi, K., & Sanguiné, L. (2025). Comparative analysis of neglected attenuation and negotiated intervention pathways to conflict resolution for lasting peace. Journal of Global Peace and Conflict, 12(3).

Hydro-economic Model Framework for Achieving Groundwater, Food, and Economy Trade-offs by Optimizing Crop Patterns Ma, Q., Yang, Y., Sheng, Z., Han, S., Yang, Y., & Moiwo, J. P. (2022). Hydro-economic model framework for achieving groundwater, food, and economy trade-offs by optimizing crop patterns. Water Research, 119, 119199.

Rainwater Harvesting for Supplemental Irrigation Under Tropical Inland Valley Swamp Conditions Blango, M. M., Cooke, R. A. C., Moiwo, J. P., Sawyerr, P. A., & Kangoma, E. (2020). Rainwater harvesting for supplemental irrigation under tropical inland valley swamp conditions. Irrigation and Drainage, 69(5).

Effect of Biochar Application Depth on Crop Productivity Under Tropical Rainfed Conditions Moiwo, J. P., Wahab, A., Kangoma, E., Blango, M. M., Ngegba, M. P., & Suluku, R. (2019). Effect of biochar application depth on crop productivity under tropical rainfed conditions. Applied Sciences, 9(13), 2602.

Wuzheng Zhu | Qualitative Research | Research Excellence Award

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Dr. Wuzheng Zhu | Qualitative Research | Research Excellence Award

College of Life Sciences | China

Dr. Wuzheng Zhu is a regenerative medicine researcher, specializing in mitochondrial biology, cellular repair, and stem‑cell therapies. He earned his Ph.D. in Biochemistry and Molecular Biology from Sichuan University’s Regenerative Medicine Research Center (West China Hospital). Currently based in the Laboratory of Animal Nutrition and Human Health, College of Life Sciences, Changsha, his work delves into the molecular mechanisms underlying mitochondrial homeostasis, particularly in the context of acute kidney injury and cardiovascular diseases. His lab combines biochemistry, molecular and cellular biology, drug screening, and mouse models to identify and manipulate mitochondrial regulation and repair pathways. Dr. Zhu has published extensively, with 5 documents, 306 citations, and an h‑index of 5, including influential studies on mesenchymal stem cell–mediated protection via mitophagy, mitochondrial dynamics in endothelial injury, lysosomal dysfunction in macrophage polarization, and suppression of ER stress in vascular cells. He has also investigated dietary intervention in piglet gut development. He is a recipient of the prestigious TTS‑CTRMS Scientific Congress Award in 2017. His research offers significant translational potential, aiming to harness mitochondrial modulation and stem-cell strategies for therapeutic intervention in metabolic and cardiovascular conditions.

Profile : Scopus

Featured Publications

Wei, J., Mao, R., Chen, Y., Si, K., Li, Y., Li, J., & Zhu, W. (2025). “MSCs ameliorates hyperglycemia-induced endothelial injury through modulation of mitochondrial dynamics” in Cell Death & Disease, 16(1), 832.

Mao, R.W., He, S.P., Lan, J.G., & Zhu, W.Z. (2022). “Honokiol ameliorates cisplatin‐induced acute kidney injury via inhibition of mitochondrial fission” in British Journal of Pharmacology.

Zhu, W., Yuan, Y., Liao, G., Li, L., Liu, J., Chen, Y., et al. (2018). “Mesenchymal stem cells ameliorate hyperglycemia-induced endothelial injury through modulation of mitophagy” in Cell Death & Disease, 9(8), 1–17.

Yuan, Y., Chen, Y., Peng, T., Li, L., Zhu, W., Liu, F., et al. (2019). “Mitochondrial ROS-induced lysosomal dysfunction impairs autophagic flux and contributes to M1 macrophage polarization in a diabetic condition” in Clinical Science, 133(15), 1759–1777.

Luo, R., Li, L., Liu, X., Yuan, Y., Zhu, W., Li, L., et al. (2020). “Mesenchymal stem cells alleviate palmitic acid-induced endothelial-to-mesenchymal transition by suppressing endoplasmic reticulum stress” in American Journal of Physiology-Endocrinology and Metabolism, 319(6), E961–E980.

Samaneh Saeedinia | Engineering | Best Researcher Award

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Prof.Dr. Samaneh Saeedinia | Engineering | Best Researcher Award

Iran University of Science and Technology | Iran

Dr. Samaneh Alsadat Saeedinia is an accomplished researcher and engineer specializing in Control Electrical Engineering, Computational Neuroscience, Robotics, and Artificial Intelligence. She earned her Ph.D. from Iran University of Science and Technology (IUST), where her thesis focused on designing and stabilizing intelligent decision-making systems to support the treatment of adult focal epilepsy, receiving an excellent grade. She also holds a Master’s degree in Control Electrical Engineering from IUST and a Bachelor’s degree from Imam Khomeini International University. Dr. Saeedinia has extensive experience in signal processing, machine learning, spiking neural networks, EEG and MRI data analysis, and adaptive control systems. She has contributed to numerous high-impact publications in IEEE Transactions, Scientific Reports, and other international journals. Her research interests include computational modeling, intelligent control, data fusion, robotics path planning, and neuroinformatics. Beyond academia, she has led industrial projects in electrical power systems, automation, and instrumentation. She has received multiple awards, including the Khwarizmi International Award and top ranks in academic performance. Dr. Saeedinia is also an experienced educator and mentor, guiding students in advanced control systems, neural networks, and data analysis. Her work bridges engineering, neuroscience, and artificial intelligence, aiming to develop innovative solutions for healthcare and robotic applications.

Profile : Google Scholar

Featured Publications

Saeedinia, S.A., Jahed-Motlagh, M.R., Tafakhori, A., & Kasabov, N.K. (2024). “Diagnostic biomarker discovery from brain EEG data using LSTM, reservoir-SNN, and NeuCube methods in a pilot study comparing epilepsy and migraine” in Scientific Reports, 14(1), 10667.

Mohaghegh, M., Saeedinia, S.A., & Roozbehi, Z. (2023). “Optimal predictive neuro-navigator design for mobile robot navigation with moving obstacles” in Frontiers in Robotics and AI, 10, 1226028.

Roozbehi, Z., Narayanan, A., Mohaghegh, M., & Saeedinia, S.A. (2024). “Dynamic-structured reservoir spiking neural network in sound localization” in IEEE Access, 12, 24596–24608.

Saeedinia, S.A., & Tale Masouleh, M. (2022). “The synergy of the multi-modal MPC and Q-learning approach for the navigation of a three-wheeled omnidirectional robot based on the dynamic model with obstacle collision” in Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science.

Roozbehi, Z., Narayanan, A., Mohaghegh, M., & Saeedinia, S.A. (2025). “Enhanced Multiple Sound Event Detection and Classification Using Physical Signal Properties in Recurrent Spiking Neural Networks” in IEEE Access.

A. A. Bidokhti | Data Analysis | Best Researcher Award

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Prof. Dr. A. A. Bidokhti | Data Analysis | Best Researcher Award

University of Tehran | Iran

A.A. Aliakbari Bidokhti is a professor of environmental and geophysical fluid dynamics whose work spans atmospheric and oceanic processes, turbulence, aerosols, climate modeling, and numerical simulation of complex environmental flows. He earned a Ph.D. in Geophysical Fluid Dynamics with specialization in the dynamics of the atmosphere and ocean, followed by postdoctoral research in the United Kingdom at Newcastle and Cambridge. Since 1992, he has served as a faculty member at the Institute of Geophysics, University of Tehran, contributing extensively to research and education in fluid mechanics, environmental physics, oceanography, and atmospheric sciences. His research interests cover turbulence with rotation and stratification, convection, atmospheric pollution, ozone dynamics, ocean currents, mesoscale eddies, and computational fluid dynamics. He is skilled in experimental fluid mechanics, hot-wire anemometry, SODAR studies, and numerical modeling of environmental systems. His publication record includes impactful journal articles and several books, among them Fundamentals of Fluid Dynamics and An Introduction to the Atmospheric Boundary Layer, the latter recognized as a distinguished science book in 2023. As a scientific member of national geophysical and marine societies, he contributes to advancing environmental research. His work continues to support understanding of climate, ocean processes, and atmospheric dynamics.

Profile : Orcid

Featured Publications

Bafandeh, B., Bidokhti, A.A., Lari, K., & Ezam, M. (2022). “Experimental and numerical study of gas to liquid ratio in stratified gas-saturated liquid blowouts’ plumes” in International Journal of Environmental Science and Technology.

Gholami, Z., Lari, K., Aliakbari Bidokhti, A., & Javid, A. (2021). “Revisiting the derivation of bulk longshore sediment transport rates using meta-heuristic algorithms” in Ocean and Coastal Research.

Mogaddam, S.F., Bidokhti, A.A., Givi, F.A., & Ezam, M. (2020). “Evaluation of physical changes (temperature and salinity) in the Persian Gulf waters due to climate change using field data and numerical modeling” in International Journal of Environmental Science and Technology.

Tajfirooz, B., Ezam, M., Bidokhti, A.A., & Lari, K. (2020). “Evaluation of probabilistic and deterministic methods for estimating energy potential of tidal currents in the Khuran Strait, the Persian Gulf” in International Journal of Environmental Science and Technology.

Arghavani, S., Malakooti, H., & Ali Akbari Bidokhti, A.-A. (2020). “Numerical assessment of the urban green space scenarios on urban heat island and thermal comfort level in Tehran Metropolis” in Journal of Cleaner Production.

Marco Gaiotti | Shipbuilding | Best Researcher Award

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Mr. Marco Gaiotti | Shipbuilding | Best Researcher Award

Università di Genova | Italy

Marco Gaiotti is an associate professor in ship structures and marine engineering whose work focuses on the structural behavior, fabrication effects, and ultimate strength of ships and offshore structures. Holding a Bachelor (2005), Master (2008), and PhD (2012) in Naval Architecture and Marine Engineering from the Università degli Studi di Genova, he has developed expertise in composite materials, fabrication-induced imperfections, and advanced simulation techniques. His academic career includes progressive research appointments leading to his current professorship, along with coordination roles for the Nautical Engineering and Yacht Design programs. Gaiotti has contributed internationally as a visiting researcher at NAOE–Osaka University and through long-standing service within the ISSC, where he has served as specialist member, award-winning expert, and Chairman of Committee III.1 on Ultimate Strength. He has led competitive research initiatives, notably the EU-funded LeaderSHIP project (2023–2027), promoting innovation, skills development, and collaboration in the maritime sector. His work also extends to technology transfer, including a patented method for validating robotic inspection technologies in naval environments. With 454 citations by 341 documents, 67 documents, and an h-index of 12, his research continues to advance materials, structural performance, and safety in marine engineering.

Profiles : Scopus | Orcid

Featured Publications

Gaiotti, M., Brubak, L., Chen, B.-Q., Darie, I., Georgiadis, D., Shiomitsu, D., Kõrgesaar, M., Lv, Y., Nahshon, K., Paredes, M., et al. (2026). “Evaluating numerical simulation accuracy for full-scale high-strength steel ship structures: Insights from the ISSC 2025 Ultimate Strength Committee benchmark on transversely stiffened panels” in Marine Structures.

Aguiari, M., Gaiotti, M., & Rizzo, C.M. (2022). “Ship weight reduction by parametric design of hull scantling” in Ocean Engineering.

Aguiari, M., Gaiotti, M., & Rizzo, C.M. (2022). “A design approach to reduce hull weight of naval ships” in Ship Technology Research.

Poggi, L., Gaggero, T., Gaiotti, M., Ravina, E., & Rizzo, C.M. (2022). “Robotic inspection of ships: inherent challenges and assessment of their effectiveness” in Ships and Offshore Structures.

Ringsberg, J.W., Darie, I., Nahshon, K., Shilling, G., Vaz, M.A., Benson, S., Brubak, L., Feng, G., Fujikubo, M., Gaiotti, M., et al. (2021). “The ISSC 2022 Committee III.1–Ultimate strength benchmark study on the ultimate limit state analysis of a stiffened plate structure subjected to uniaxial compressive loads” in Marine Structures.

Farouk Rizk | Electromagnetic Theory | Best Researcher Award

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Dr. Farouk Rizk | Electromagnetic Theory | Best Researcher Award

Lightning Electrotechnologies Inc | Canada

Dr. Farouk A. M. Rizk is a leading figure in high-voltage and lightning engineering, holding B.Sc. and M.Sc. degrees from Cairo University and a Ph.D. from the Royal Institute of Technology in Stockholm, followed by a Doctor of Technology from Chalmers University of Technology. His career includes senior research and leadership roles at the Hydro-Québec Research Institute, adjunct and invited professorships, and his current work as president of engineering and lightning-technology firms in Montreal. He has authored influential research on arc dynamics, polluted insulators, long-air-gap breakdown, lightning attachment, and ultra-corona applications, earning an h-index of 27, 95 documents, and 2,657 citations by 1,801 documents. His contributions include pioneering models of insulator flashover, desert pollution performance, rain-impact behavior, and switching-impulse breakdown. Recognized as an IEEE Fellow, he has received multiple IEEE prize paper awards, the Herman Halperin Award, the CIGRE Technical Committee Award, and the 2021 ICLP Lifetime Achievement Award. He has chaired major international high-voltage forums and consulted globally on lightning protection and power transmission. His work has significantly shaped modern insulation coordination and lightning engineering, establishing him as one of the field’s most influential contributors.

Profile : Scopus

Featured Publications

(2022). “Novel Solution to Back Flashovers on High Voltage Transmission Lines: The Embedded Ground Conductor.” IEEE Transactions on Power Delivery.

(2022). “Negative Impulse Ground Wire Corona Parameters for Backflash Evaluation of High Voltage Transmission Lines.” IEEE Transactions on Power Delivery.

(2020). “New approach for assessment of positive streamer penetration of long air gaps under impulse voltages.” IEEE Transactions on Dielectrics and Electrical Insulation.

(2018). “A simplified approach for assessment of exposure of EHV and UHV lines to direct lightning strikes.” IEEE Transactions on Power Delivery.

(2017). “Modeling of UHV & double-circuit EHV transmission-line exposure to direct lightning strikes.” IEEE Transactions on Power Delivery.

John Theodoropoulos | Sports Analytics | Best Researcher Award

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Dr. John Theodoropoulos | Sports Analytics | Best Researcher Award

University of Toronto | Canada

Dr. John Theodoropoulos is an orthopedic surgeon, academic leader, and sports medicine specialist recognized for his contributions to cartilage regeneration, arthroscopic surgery, and athlete injury management. With a BSc from McGill University, an MD from Queen’s University, and an MSc in Cartilage Regeneration from the University of Toronto, he completed orthopedic surgery residency training at McGill and a sports medicine fellowship at the University of Illinois at Chicago. He currently serves as an Assistant Professor at the University of Toronto and staff surgeon at Mount Sinai Hospital, Women’s College Hospital, and the University Health Network. His research output includes 95 documents, 2,856 citations by 2,662 documents, and an h-index of 30, reflecting his strong academic impact in orthopedic and sports medicine research. His interests span cartilage repair, bioengineered tissues, ACL reconstruction outcomes, and high-performance athlete care. Dr. Theodoropoulos has earned numerous awards for research excellence, innovation, and teaching, including distinctions for clinical research, regenerative medicine, and sports medicine education. Professionally, he has served as Medical Director for elite sports organizations, including the Toronto Blue Jays and Toronto Maple Leafs, contributing significantly to musculoskeletal care in professional athletics. Overall, his career integrates clinical expertise, impactful scholarship, and leadership in advancing orthopaedic sports medicine.

Profiles : Scopus | Orcid

Featured Publications

Honoki, K., Wengle, L., Burkhart, T.A., Peters, S., & Theodoropoulos, J. (2025). Timing of Surgery in Professional Baseball – An Analysis of Major League Baseball Pitchers Who Underwent Ulnar Collateral Ligament Reconstruction. In JSES Reviews, Reports, and Techniques.

Betsch, M., Darwich, A., Chang, J., Whelan, D., Ogilvie-Harris, D., Chahal, J., & Theodoropoulos, J. (2022). Wide Variability in Return-to-Sport Criteria Used by Team Physicians After Anterior Cruciate Ligament Reconstruction in Elite Athletes—A Qualitative Study. In Arthroscopy, Sports Medicine, and Rehabilitation.

Dwyer, T., Hoit, G., Sellan, M., Gopinath, R., Whelan, D., Theodoropoulos, J., & Chahal, J. (2022). Six Percent Incidence of Graft-Tunnel Mismatch in Anatomic Anterior Cruciate Ligament Reconstruction Using Bone-Patella Tendon-Bone Autograft and Anteromedial Portal Drilling. In Arthroscopy, Sports Medicine, and Rehabilitation.

Dwyer, T., Hoit, G., Lee, A., Watkins, E., Henry, P., Leroux, T., Veillette, C., Theodoropoulos, J., Ogilvie-Harris, D., & Chahal, J. (2021). Injection of Bone Marrow Aspirate for Glenohumeral Joint Osteoarthritis: A Pilot Randomized Control Trial. In Arthroscopy, Sports Medicine, and Rehabilitation.

Atinga, A., Dwyer, T., Theodoropoulos, J., Dekirmendjian, K., Naraghi, A.M., & White, L.M. (2021). Pre-Operative MRI Imaging Accurately Detects the Arthroscopic Comma Sign in Subscapularis Tears. In Arthroscopy: The Journal of Arthroscopic & Related Surgery.

Necla Koralay | Environmental Data Analysis | Best Researcher Award

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Assist. Prof. Dr. Necla Koralay | Environmental Data Analysis | Best Researcher Award

Karadeni̇z Technical University | Turkey

Assist. Prof. Dr. Necla Koralay is an environmental scientist and forest engineer whose academic work focuses on watershed management, soil erosion, hydrology, and water quality. She completed her undergraduate studies in Forest Engineering at Ankara University and later earned her postgraduate and doctoral degrees from Karadeniz Technical University, where she specialized in watershed management, erosion modeling, and hydrological assessment. She also continues undergraduate education in geography to broaden her interdisciplinary expertise. Over her academic career, she has served as a research assistant, research assistant (PhD), and currently as an assistant professor in the Faculty of Forestry. Dr. Koralay has contributed extensively to the scientific literature through articles published in SCI, SCI-Expanded, ESCI, and peer-reviewed journals, focusing on RUSLE-based erosion modeling, morphometric analysis, and the effects of hydropower plants and forestry activities on water quality. She has presented numerous papers at national and international conferences and has been involved in funded research projects related to erosion–flood risk mapping and sediment dynamics. In addition to her research, she serves as an editor for the Ormancılık Araştırma Dergisi. Her academic achievements have been recognized with notable awards for outstanding performance during her undergraduate education, reflecting her long-standing dedication to environmental and forestry sciences.

Profile : Orcid

Featured Publications

Koralay, N., & Kara, Ö. (2025). “Risk assessment of soil erosion with RUSLE using geographic information system and organic carbon and total nitrogen loadings of suspended sediment in Sogutlu Stream Watershed of Trabzon, Turkey” in Environmental Earth Sciences.

Koralay, N., & Kara, Ö. (2024). “Assessment of flood risk in Söğütlü Stream Watershed of Trabzon Province in Turkey using geographic information systems and analytic hierarchy process approach” in Natural Hazards.

Koralay, N. (2024). “An Investigation into the Carbon and Total Nitrogen Content of Suspended Sediments in Değirmendere Watershed and Its Implications for Erosion Risk” in Forestist.

Koralay, N., & Kara, Ö. (2023). “Effects of morphometric characteristics on flood in Degirmendere sub-watersheds, Northeastern Turkey” in International Journal of River Basin Management.

Koralay, N., & Kara, Ö. (2022). “Trabzon Değirmendere Çatak alt havzasının erozyon risk haritasının oluşturulması ve sediment iletim oranının belirlenmesi” in Ormancılık Araştırma Dergisi.

Piotr Porwik | Machine Learning and AI Applications | Best Researcher Award

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Prof. Dr. Piotr Porwik | Machine Learning and AI Applications | Best Researcher Award

University of Silesia | Poland

Prof. Dr. Piotr Porwik is a full professor in the Institute of Computer Science at the University of Silesia in Katowice, specializing in engineering and technical sciences. He earned his M.Sc. in computer science from the University of Silesia in 1978, his Ph.D. in 1985, and completed his habilitation in 2006 at AGH University of Science and Technology in Krakow. His research spans machine learning, biometrics, image processing, biomedical imaging, and spectral methods for Boolean functions. Across his career, he has authored 81 scientific documents that have attracted 1,003 citations from 783 citing documents, and he holds an h-index of 17. He has published extensively in journals, international conferences, books, and book chapters, while also supervising Master’s and Ph.D. students. Prof. Porwik has served in major academic leadership roles, including Deputy Dean and Director of the Institute, and played a key role in shaping academic publishing as Editor-in-Chief of the Journal of Medical Informatics and Technologies. His achievements have been recognized through numerous distinctions, including the Bronze Cross of Merit and multiple awards from the President of the University of Silesia for scientific accomplishments. His work continues to advance biometric security, classifier development, and biomedical informatics, underscoring his long-standing academic influence and research innovation.

Profiles : Scopus | Orcid

Featured Publications

Wrobel, K., Porwik, P., & Orczyk, T. (2025). “Evaluation of the Effectiveness of Ranking Methods in Detecting Feature Drift in Artificial and Real Data” in (Book) / Lecture Notes in?

Mensah Dadzie, B., & Porwik, P. (2025). “Feature-Based Drift Detection in Non-stationary Data Streams Using Multiple Classifiers: A Comprehensive Analysis” in (Book)

Porwik, P., Orczyk, T., Wrobel, K., & Mensah Dadzie, B. (2025). “A Novel Method for Drift Detection in Streaming Data Based on Measurement of Changes in Feature Ranks” in Journal of Artificial Intelligence and Soft Computing Research, (DOI: 10.2478/jaiscr-2025-0008).

Porwik, P., Orczyk, T., & Japkowicz, N. (2024). “Supervised and Unsupervised Analysis of Feature Drift in a New Type of Detector” in Preprint (Research Square)

Porwik, P., Orczyk, T., & Doroz, R. (2022). “A Stable Method for Detecting Driver Maneuvers Using a Rule Classifier” in Lecture Notes in Computer Science

Mebarka Allaoui | Machine Learning and AI Applications | Best Paper Award

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Dr. Mebarka Allaoui | Machine Learning and AI Applications | Best Paper Award

Bishop’s University | Canada

Dr. Mebarka Allaoui dedicated computer science researcher with a strong background in machine learning, manifold learning, and computer vision, this scholar holds a PhD in Computer Science focused on embedding techniques and their applications to visual data analysis. Their academic journey includes a master’s degree in industrial computer science and a bachelor’s degree in information systems, all completed with high distinction. Professionally, they have served as a Postdoctoral Fellow contributing to industry-funded research on anomaly detection, developing novel embedding, deep learning, and clustering methods to enhance the interpretability of latent representations and improve fraud detection in real-world financial datasets. Prior experience includes working as a computer engineer supporting system administration, software development, data analysis, and network configuration, alongside several teaching appointments delivering practical courses in software engineering, algorithmics, and web development. Their research contributions span dimensionality reduction, clustering, optimization, document analysis, and scientific information retrieval, with publications in reputable journals and conferences. Collaborative work further extends to studies on optimizers, object detection, and embedding initialization strategies. Recognized for high-quality academic performance and impactful research outputs, they continue to advance data-driven methodologies, aiming to bridge theoretical innovation with practical applications in intelligent systems and decision-support technologies.

Profile : Google Scholar

Featured Publications

Allaoui, M., Kherfi, M. L., & Cheriet, A. (2020). “Considerably improving clustering algorithms using UMAP dimensionality reduction technique” in International Conference on Image and Signal Processing, 317–325.

Drid, K., Allaoui, M., & Kherfi, M. L. (2020). “Object detector combination for increasing accuracy and detecting more overlapping objects” in International Conference on Image and Signal Processing, 290–296.

Allaoui, M., Belhaouari, S. B., Hedjam, R., Bouanane, K., & Kherfi, M. L. (2025). “t-SNE-PSO: Optimizing t-SNE using particle swarm optimization” in Expert Systems with Applications, 269, 126398.

Allaoui, M., Kherfi, M. L., Cheriet, A., & Bouchachia, A. (2024). “Unified embedding and clustering” in Expert Systems with Applications, 238, 121923.

Allaoui, M., Kherfi, M. L., & Cheriet, A. (2020). “International Conference on Image and Signal Processing” in Springer.