Edris Hoseinzadeh | Developmental Neuroscience | Best Researcher Award

Published on by Neuroscientists

Assoc. Prof. Dr.Edris Hoseinzadeh | Developmental Neuroscience | Best Researcher Award

Assoc. Prof. Dr. Edris Hoseinzadeh | Saveh University of Medical Sciences | Iran

Dr. Edris Hoseinzadeh is an Associate Professor of Environmental Health Engineering at Saveh University of Medical Sciences, Iran. He is a highly accomplished environmental health engineer recognized for his innovative research on sustainable solutions for water and wastewater treatment, air pollution control, and waste valorization. His scientific expertise spans advanced oxidation processes, electrochemical systems, nanotechnology applications, and the integration of artificial intelligence in smart remediation technologies. Dr. Hoseinzadeh has authored over 90 research papers, holds multiple patents, and has achieved an h-index of 18 with more than 2,500 citations, reflecting his significant impact in the field. His work addresses critical global challenges such as emerging contaminants, pharmaceutical pollutants, microplastics, and antibiotic-resistant genes, with a focus on resource recovery and circular economy principles. As Head of the Department of Environmental Health Engineering at Saveh University, he has also demonstrated strong leadership and academic mentorship, guiding over 15 graduate theses and serving as Founder and Editor-in-Chief of the HOZAN Journal of Environmental Sciences. Dr. Hoseinzadeh’s research combines scientific rigor with practical innovation, contributing to the advancement of environmental sustainability and public health protection.

Profiles: Scopus | Orcid | Google Scholar | Research Gate | Linked In

Featured Publications

(2025). Factors influencing source separation intention for improving waste management in educational places: A case study for a university campus. International Journal of Environmental Health Engineering.

 (2024). Microplastics contamination in popular soft drinks and non-alcoholic beverages marketed in Iran: Quantity and characteristics. Results in Engineering.

 (2024). Soil pollution indices and health risk assessment of metal(loid)s in the agricultural soil of pistachio orchards. Scientific Reports.

 (2024). Treatment of real carwash wastewater using high-efficiency and energy-saving electrocoagulation technique. Sustainable Chemistry and Pharmacy.

(2024). Water recovery and treatment of spent filter backwash from drinking water using chemical reactor–ultrafiltration process. Journal of Water Process Engineering.

(2024). Utilization of local corn (Zea mays) wastes for bioethanol production by separate hydrolysis and fermentation. Journal of Hazardous Materials Advances.

Ricardo Osorio | Clinical Neuroscience | Best Researcher Award

Published on by Neuroscientists

Dr. Ricardo Osorio | Clinical Neuroscience | Best Researcher Award

Dr. Ricardo S. Osorio is a tenured Associate Professor of Psychiatry and Radiology at NYU Grossman School of Medicine, where he directs the Healthy Brain Aging and Sleep Center and serves as Director of the Biomarker Core within the NYU Alzheimer’s Disease Research Center. A physician-scientist, Dr. Osorio investigates the interplay of sleep, vascular, and inflammatory mechanisms in Alzheimer’s disease, integrating multimodal biomarkers, neuroimaging, and detailed clinical phenotyping. He has led several landmark studies, including trials on sleep apnea, amyloid and tau accumulation, brain energetics, and locus coeruleus dysfunction, exploring how sleep and metabolic factors influence cognitive decline and neurodegeneration. His work has significantly advanced translational biomarker development, assay harmonization, and inclusive recruitment in aging research. Dr. Osorio has published over 130 peer-reviewed articles in top journals such as JAMA Neurology, Annals of Neurology, Sleep, Alzheimer’s & Dementia, Lancet, and Brain, contributing to more than 8,369 citing documents, with a total citation count of 9,893 and an h-index of 44. He serves on multiple editorial boards, including Sleep Medicine Reports, and has provided expert peer review for leading journals worldwide. His collaborative network spans the NYU Alzheimer’s Disease Research Center, Mount Sinai, the ENIGMA-Sleep Consortium, and numerous national and international aging and sleep research initiatives, mentoring the next generation of clinician-scientists while shaping the field of sleep and neurodegeneration.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

  1. Author(s). (Year). Disordered sleep and painful diabetic neuropathy (PDN): A review of the literature on pathophysiology, pharmacologic and nonpharmacologic treatment options, and future directions. Journal Name, Volume(Issue), pages.

  2. Author(s). (2025). EEG slow oscillations and overnight spatial navigational memory performance in CPAP-treated obstructive sleep apnea. Sleep, Volume(Issue), pages.

  3. Author(s). (2025). High-frequency oscillations >250 Hz in people with Down syndrome and associated Alzheimer’s disease dementia. Alzheimer’s & Dementia, Volume(Issue), pages.

  4. Author(s). (2025). Impact of Alzheimer’s disease on sleep in adults with Down syndrome. Alzheimer’s & Dementia, Volume(Issue), pages.

  5. Author(s). (2025). Sleep-wake variation in body temperature regulates tau secretion and correlates with CSF and plasma tau. Journal of Clinical Investigation, Volume(Issue), pages.

  6. Author(s). (2025). The stability of slow-wave sleep and EEG oscillations across two consecutive nights of laboratory polysomnography in cognitively normal older adults. Journal of Sleep Research, Volume(Issue), pages.

  7. Author(s). (2025). Two-year longitudinal outcomes of subjective cognitive decline in Hispanics compared to non-Hispanic Whites. Journal of Geriatric Psychiatry and Neurology, Volume(Issue), pages.

  8. Author(s). (Year). Enhancing sleep, wakefulness, and cognition with transcranial photobiomodulation: A systematic review. Journal Name, Volume(Issue), pages.

  9. Author(s). (2024). The relationship between anxiety and levels of Alzheimer’s disease plasma biomarkers. Journal of Alzheimer’s Disease, Volume(Issue), pages.

  10. Author(s). (2024). The neutrophil to lymphocyte ratio associates with markers of Alzheimer’s disease pathology in cognitively unimpaired elderly people. Immunity and Ageing, Volume(Issue), pages.

Dipesh | Computational Neuroscience | Best Researcher Award

Published on by Neuroscientists

Assist. Prof. Dr. Dipesh | Computational Neuroscience | Best Researcher Award

Assist. Prof. Dr. Dipesh | SR University | India

Dr. Dipesh is a dedicated mathematician specializing in mathematical modeling, with extensive experience in both academic and research domains. He has made significant contributions to applied mathematics, particularly in areas intersecting numerical methods, AI/ML, and fluid dynamics. Dr. Dipesh has actively organized and coordinated multiple academic programs, including national workshops, faculty development programs, and departmental initiatives, demonstrating strong leadership in fostering educational and research excellence. His efforts in coordinating the Department of Intellectual Property Rights and successfully conducting events such as RAFAS highlight his commitment to academic growth and institutional development. Academically, he has pursued rigorous training from undergraduate to postdoctoral levels, culminating in advanced research at Harran University, Turkey. Dr. Dipesh’s scholarly output includes 30 documents that have been cited 103 times, reflecting an h-index of 7, underscoring the impact and relevance of his research contributions in applied mathematics and related interdisciplinary fields. His approach emphasizes quality teaching, student placement, institutional ranking, and enhancing the overall goodwill of the organizations he serves. Driven by a passion for tackling challenges and improving systems with limited resources, Dr. Dipesh continually seeks to connect with external environments, promote collaborative work, and advance the reach and recognition of academic institutions.

Profiles: Scopus | Orcid | Google Scholar | Research Gate | Linked In

Featured Publications

  1. Mathematical model of Cynodon Dactylon’s allelopathic effect on perennial ryegrass for exploring plant-plant interactions based upon ordinary differential equations. (2025). Partial Differential Equations in Applied Mathematics.

  2. Modelling the role of delay in blood flow dynamics in human body using delay differential equations. (2025). Physica A: Statistical Mechanics and Its Applications.

  3. On the modeling the impact of delay on stock pricing fluctuations using delay differential equations. (2025). Physica A: Statistical Mechanics and Its Applications.

Noreen Kamal | Translational Neuroscience | Best Researcher Award

Published on by Neuroscientists

Assoc. Prof. Dr. Noreen Kamal | Translational Neuroscience | Best Researcher Award

Assoc. Prof. Dr. Noreen Kamal | Dalhousie University | Canada

Dr. Noreen Kamal, Ph.D., P.Eng., is an Associate Professor of Industrial Engineering at Dalhousie University, Canada, with cross-appointments in the Departments of Community Health and Epidemiology and Medicine (Neurology). Her research lies at the intersection of health systems engineering and clinical neuroscience, focusing on the optimization of stroke care systems, development of data-driven quality improvement frameworks, and evaluation of biomedical devices for stroke rehabilitation. Dr. Kamal has played a pivotal role in advancing integrated approaches to enhance the efficiency, safety, and accessibility of acute stroke services across Canada. Prior to joining Dalhousie University, she held academic and leadership positions at the University of Calgary and the University of British Columbia, contributing extensively to clinical research and health technology innovation. Her work bridges engineering, medicine, and health policy, emphasizing interdisciplinary collaboration and patient-centered outcomes. With 107 scientific publications, 8,033 citations, and an h-index of 22, Dr. Kamal has established herself as a recognized scholar in healthcare systems improvement and translational neuroscience. Her scholarly and professional contributions continue to drive evidence-based innovation in stroke systems of care, supporting better clinical outcomes and sustainable health service delivery.

Profiles: Scopus | Google Scholar | Research Gate | Linked In

Featured Publications

Author(s). (2025). Exploring differences in stroke treatment between urban and rural hospitals: A thematic analysis of practices in Canada. Canadian Journal of Neurological Sciences.

Author(s). (2025). Designing a patient outcome clinical assessment tool for modified Rankin Scale: “You feel the same way too”. Informatics.

Author(s). (2025). Predicting ischemic stroke patients to transfer for endovascular thrombectomy using machine learning: A case study. Healthcare (Switzerland).

Author(s). (2025). Incident prescriptions for common cardiovascular medications: Comparison of recent versus pre-2020 medication adherence and discontinuation in three universal health care systems. BMC Cardiovascular Disorders.

Author(s). (2025). Rising out-of-hospital mortality in Canada during 2020–2022: A striking impact observed among young adults. Canadian Journal of Public Health.

Author(s). (2025). Discrete event simulation model of an acute stroke treatment process at a comprehensive stroke center: Determining the ideal improvement strategies for reducing treatment times. Journal of the Neurological Sciences.

Author(s). (2025). Validation of the Passive Surveillance Stroke Severity Score in three Canadian provinces. Canadian Journal of Neurological Sciences.

Author(s). (2025). A stochastic optimization model for designing disaster relief networks with congestion, disruption and distributional ambiguity. Infor.

Author(s). (2025). Improving access and efficiency of acute ischemic stroke treatment across four Canadian provinces: A stepped-wedge trial. Frontiers in Neurology.

Author(s). (2025). The acute stroke system of treatment across Canada: Findings from a national stroke centre survey. Canadian Journal of Neurological Sciences.

Nasar Ata | Neurology | Best Researcher Award

Published on by Neuroscientists

Mr. Nasar Ata | Neurology | Best Researcher Award

Dr. S. M. Nasar Ata is a researcher in the Department of Neurology at Henry Ford Hospital, Detroit, USA, specializing in artificial intelligence applications in neuroscience. His work focuses on developing machine learning and soft computing–based algorithms such as CNN, ANN, SVM, and MLR for detecting and predicting brain-based disorders, including Multiple Sclerosis. He integrates metabolomics and imaging clinical data to identify biomarkers and construct predictive models for neurological and metabolic diseases. Dr. Ata collaborates with research centers such as JNMC and IBRC AMU on brain tumor prediction from MRI data and with RCDR AMU on diabetes-related model development. His research contributions include several submitted papers on metabolite prediction, deep learning in brain tumor detection, and molecular mechanisms underlying neurodegeneration and cancer. He has also authored the textbook Basics of Bio-Sciences and actively participates in scientific discussions and editorial work. With 3 published documents, 7 citations, and an h-index of 2, Dr. Ata’s growing research profile reflects his commitment to advancing data-driven neurological diagnostics through AI and biostatistical innovation.

Profiles: Scopus | Research Gate

Featured Publication

Corrigendum to “Artificial neural network-based prediction of multiple sclerosis using blood-based metabolomics data” [Multiple Sclerosis and Related Disorders, 92, 105942 (2024)]. (2024). Multiple Sclerosis and Related Disorders, 95, 106321.

Mansoor Showkat | Computational Neuroscience | Best Researcher Award

Published on by Neuroscientists

Mr. Mansoor Showkat | Computational Neuroscience | Best Researcher Award

Mr. Mansoor Showkat | SKUAT-Kashmir | India

Mansoor Showkat is a researcher in Plant Biotechnology with an M.Sc. from the University of Agricultural Sciences, Bangalore, and a B.Sc. (Hons.) in Horticulture from Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir. His research expertise spans molecular biology, computational biology, bioinformatics, and tissue culture, with particular emphasis on antifungal compound analysis, gene transformation, and plant-pathogen interactions. Mansoor has contributed to several peer-reviewed publications and book chapters, focusing on the in-silico and in-vitro evaluation of bioactive compounds such as cordycepin, molecular mechanisms of stress responses, and secondary metabolite profiling in plants. His research projects include genetic transformation studies, metabolomics-based investigations, and the use of omics tools for crop improvement. He has actively participated in numerous international workshops, conferences, and webinars related to biotechnology, bioinformatics, and genomics. Mansoor has achieved significant academic recognition, including national rankings in competitive examinations by the Indian Council of Agricultural Research. His scientific impact is reflected by a citation count of 15, an h-index of 2, and an i10-index of 0, highlighting his growing contribution to molecular and agricultural biotechnology research.

Profiles: Google Scholar| Research Gate | Linked In

Featured Publications

  1. Showkat, M., Narayanappa, N., Umashankar, N., & Saraswathy, B. P., et al. (2024). Optimization of fermentation conditions of Cordyceps militaris and in silico analysis of antifungal property of cordycepin against plant pathogens. Journal of Basic Microbiology, 64(10), e2400409.

  2. Fatimah, N., Ashraf, S., R. U., K. N., Anju, P. B., Showkat, M., Perveen, K., Bukhari, N. A., et al. (2024). Evaluation of suitability and biodegradability of the organophosphate insecticides to mitigate insecticide pollution in onion farming. Heliyon, 10(12).

  3. Margay, K. A. A. A. R., Ashraf, S., Fatimah, N., Jabeen, S. G., & Showkat, M., et al. (2024). Plant circadian clocks: Unravelling the molecular rhythms of nature. International Journal of Plant and Soil Science, 36(8), 596–617.

  4. Margay, A. R., Ashraf, S., Fatimah, N., Jabeen, S. G., Showkat, M., R. U., K. N., Gani, A., et al. (2024). Harnessing brassinosteroids for heat resilience in wheat: A comprehensive study.

  5. Showkat, M., Nagesha, N., Ashraf, S., Nayana, K., Bashir, S., Nair, A. S., et al. (2024). Cordycepin: A molecular Trojan horse against Fusarium oxysporum f. sp. cubense—A computational perspective.

Alireza Kamali-Asl | Neuroimaging | Best Researcher Award

Published on by Neuroscientists

Prof. Dr. Alireza Kamali-Asl | Neuroimaging | Best Researcher Award

Prof. Dr. Alireza Kamali-Asl | Freelance organization | United Kingdom

Professor Alireza Kamaliasl is a distinguished expert in medical radiation engineering and serves as the Director of the Medical Imaging Instruments Laboratory and Head of Molecular Imaging Modality. With over two decades of experience in healthcare technology and molecular imaging, he has made pioneering contributions to the design, simulation, and manufacture of advanced medical imaging instruments across modalities such as SPECT, PET, CT, and radiography. His interdisciplinary research integrates mathematical modeling, computational analysis, and clinical collaboration to enhance diagnostic and theranostic imaging systems. Professor Kamaliasl has authored more than 150 publications in top-tier international journals and conferences, achieving an h-index of 28, with over 3,800 citations and 160 research documents indexed in global databases. He has successfully supervised more than 45 postgraduate research projects, fostering innovation and leadership in radiological sciences. His expertise spans radio-isotopic imaging, system performance optimization, radiation shielding, device calibration, and preventive maintenance management. Recognized for his role as a visionary mentor and strategic planner, Professor Kamaliasl continues to advance multimodality molecular imaging and medical instrumentation, bridging the gap between engineering innovation and clinical application to improve diagnostic precision and therapeutic outcomes.

Profiles: Scopus | Orcid | Google Scholar | Research Gate | Linked In

Featured Publications

  1. Habibzadeh, M. A., Ay, M. R., Kamali-Asl, A. R., Ghadiri, H., & Zaidi, H. (2012). Impact of miscentering on patient dose and image noise in X-ray CT imaging: Phantom and clinical studies. Physica Medica, 28(3), 191–199.

  2. Aghakhan Olia, N., Kamali-Asl, A., Hariri Tabrizi, S., Geramifar, P., et al. (2022). Deep learning–based denoising of low-dose SPECT myocardial perfusion images: Quantitative assessment and clinical performance. European Journal of Nuclear Medicine and Molecular Imaging, 49(5), 1508–1522.

  3. Arefan, D., Talebpour, A., Ahmadinejhad, N., & Kamali-Asl, A. (2015). Automatic breast density classification using neural network. Journal of Instrumentation, 10(12), T12002.

  4. Poorbaygi, H., Aghamiri, S. M. R., Sheibani, S., Kamali-Asl, A., et al. (2011). Production of glass microspheres comprising 90Y and 177Lu for treating hepatic tumors with SPECT imaging capabilities. Applied Radiation and Isotopes, 69(10), 1407–1414.

  5. Khazaee Moghadam, M., Kamali-Asl, A., Geramifar, P., & Zaidi, H. (2016). Evaluating the application of tissue-specific dose kernels instead of water dose kernels in internal dosimetry: A Monte Carlo study. Cancer Biotherapy and Radiopharmaceuticals, 31(10), 367–379.*

Musawer Hakimi | Systems Neuroscience | Best Researcher Award

Published on by Neuroscientists

Mr. Musawer Hakimi | Systems Neuroscience | Best Researcher Award

Mr. Musawer Hakimi | Samangan University | Afghanistan

Mr. Musawer Hakimi is an accomplished Assistant Professor at Samangan University, specializing in Computer Science. He holds a Bachelor’s degree in Computer Science from India and a Master’s degree in Information Technology from Kabul University. Demonstrating a strong commitment to lifelong learning, he has earned 25 professional certificates in Computer Science from India, along with two specialized certifications in Ethical Hacking and Oracle Database from the United States. His academic excellence and research contributions have positioned him as a respected scholar with 3 published documents, 13 citations, and an h-index of 1. Mr. Hakimi’s scholarly work has been featured in reputable international journals across the United Kingdom, the United States, Turkey, Sweden, and Indonesia, reflecting his active engagement in global research networks. Beyond his research achievements, he is dedicated to nurturing future computer scientists through his teaching and mentorship at the Public University of Afghanistan, where he plays an instrumental role in advancing computer science education. His interdisciplinary expertise, international collaborations, and consistent scholarly output underscore his impact as an educator, researcher, and thought leader in the evolving field of computer science, contributing to the growth of academic excellence and innovation within Afghanistan and the broader global academic community.

Profiles: Scopus | Orcid | Google Scholar | Research Gate

Featured Publications

Quraishi, T., Ulusi, H., Muhid, A., Hakimi, M., & Olusi, M. R. (2024). Empowering students through digital literacy: A case study of successful integration in a higher education curriculum. Journal of Digital Learning and Distance Education, 2(9), 667–681.

Fazil, A. W., Hakimi, M., Shahidzay, A. K., & Hasas, A. (2024). Exploring the broad impact of AI technologies on student engagement and academic performance in university settings in Afghanistan. RIGGS: Journal of Artificial Intelligence and Digital Business, 2(2), 56–63.

Hakimi, M., Katebzadah, S., & Fazil, A. W. (2024). Comprehensive insights into e-learning in contemporary education: Analyzing trends, challenges, and best practices. Journal of Education and Teaching Learning (JETL), 6(1), 86–105.

Hakimi, N., Hakimi, M., Hejran, M., Quraishi, T., Qasemi, P., Ahmadi, L., & others. (2024). Challenges and opportunities of e-learning for women’s education in developing countries: Insights from Women Online University. EDUTREND: Journal of Emerging Issues and Trends in Education, 1(1), 57–69.

Hasas, A., Hakimi, M., Shahidzay, A. K., & Fazil, A. W. (2024). AI for social good: Leveraging artificial intelligence for community development. Journal of Community Service and Society Empowerment, 2(2), 196–210.

Fazil, A. W., Hakimi, M., Sajid, S., Quchi, M. M., & Khaliqyar, K. Q. (2023). Enhancing internet safety and cybersecurity awareness among secondary and high school students in Afghanistan: A case study of Badakhshan Province. American Journal of Education and Technology, 2(4), 50–61.

Alam, M. I., Khatri, S., Shukla, D. K., Misra, N. K., Satpathy, S., & Hakimi, M. (2025). Blockchain-based coal supply chain management system for thermal power plants. Discover Computing, 28(1), 1–32.

Priyadharshini Veeralakshmanan | Clinical Neuroscience | Best Researcher Award

Published on by Neuroscientists

Ms. Priyadharshini Veeralakshmanan | Clinical Neuroscience | Best Researcher Award

Ms. Priyadharshini Veeralakshmanan | Amrita Vishwa Vidyapeetham | India

Ms. Priyadharshini Veeralakshmanan is a dedicated PhD scholar at Amrita Vishwa Vidyapeetham, specializing in Medical Oncology with a focus on Breast Cancer Immunology and the immunosuppressive tumour microenvironment (TME), particularly in Triple-Negative Breast Cancer (TNBC). Her doctoral research involves a Phase 2/3 open-label pilot clinical trial to evaluate neoadjuvant metronomic chemotherapy for modulating the TME and enhancing chemo- and immunotherapy responses, quantifying immunosuppressive cells and tumour-infiltrating lymphocytes from blood and tumour tissue. She holds an M.Sc. in Physician Assistant (Medical Oncology) and a B.Sc. in Physician Assistant (General Medicine), with extensive clinical training in oncology, hematology, surgical oncology, radiation oncology, and palliative care. Priyadharshini has strong expertise in flow cytometry, cell culture, in vitro drug testing, cytotoxicity assays, systematic reviews, meta-analysis, and clinical trial design, using advanced analytical tools such as FlowJo, SPSS, and GraphPad Prism. She has authored several publications, with an h-index of 3, over 7 documents, and more than 50 citations. A member of ESMO, ASCO, and I-OSI, she is committed to advancing cancer research, translating innovative findings into clinical practice to improve patient outcomes globally.

Profiles: Orcid | Linked In

Featured publications

Veeralakshmanan, P., Jose, W. M., Udayakumaran, S., Bindhu, M. R., Dutta, D., Rajesh, K., Kavalagunta, S., Bhaskaran, R., Haridas, N. K., Rakesh, M. P., et al. (2025). Multimodal management and outcome of pediatric and adolescent malignant central nervous system tumors: A single‐center retrospective study. Malignancy Spectrum.

Surendran, H. P., Sah, S. K., Veeralakshmanan, P., Nair, P., Ashok, H. P., Unnikrishnan, M. K., Kalavagunta, S., Sasidharan, A., Chandran, D., Poornachary, N. M., et al. (2025). Efficacy of hippocampal avoidance whole brain radiotherapy to preserve the cognitive functions among brain metastasis patients: Systematic review and meta-analysis. Neurology India, 73(5), 715–725.

Masoud Kargar | Computational Neuroscience | Best Researcher Award

Published on by Neuroscientists

Assist. Prof. Dr. Masoud Kargar | Computational Neuroscience | Best Researcher Award

Assist. Prof. Dr. Masoud Kargar | Islamic Azad University | Iran

Dr. Masoud Kargar is an Assistant Professor in the Department of Computer Engineering at Islamic Azad University, Tabriz Branch, specializing in artificial intelligence, machine learning, reinforcement learning, and software system engineering. He earned his bachelor’s degree in applied mathematics, master’s degree in software engineering, and Ph.D. in software engineering with a focus on modularization of multi-programming software systems. Dr. Kargar has extensive academic experience, having taught a wide range of undergraduate, master’s, and doctoral courses in advanced programming, algorithms, software engineering, data mining, big data, project management, and natural language processing across multiple universities. He also serves as the Director of Information and Communication Technology and leads the development of various software systems. Dr. Kargar is a member of the editorial board of the Iranian Journal of Computer Science (Springer) and has published 19 documents, which have been cited 89 times, giving him an h-index of 6. His research contributions have significantly advanced the fields of machine learning and software engineering, and his academic leadership continues to inspire both students and colleagues. Dr. Kargar remains committed to fostering innovation and excellence in computer engineering education and research.

Profiles: Scopus | Google Scholar | Orcid | Research Gate

Featured Publications

Karegar, M., Isazadeh, A., Fartash, F., Saderi, T., & Navin, A. H. (2008). Data-mining by probability-based patterns. Proceedings of the 30th International Conference on Information Technology Interfaces, 28.

Kargar, M., Isazadeh, A., & Izadkhah, H. (2019). Multi-programming language software systems modularization. Computers & Electrical Engineering, 80, 106500.

Kargar, M., Isazadeh, A., & Izadkhah, H. (2017). Semantic-based software clustering using hill climbing. 2017 International Symposium on Computer Science and Software Engineering.

Kargar, M., Isazadeh, A., & Izadkhah, H. (2020). Improving the modularization quality of heterogeneous multi-programming software systems by unifying structural and semantic concepts. Journal of Supercomputing, 76(1), 17.

Navin, A. H., Fesharaki, M. N., Mirnia, M., & Kargar, M. (2007). Modeling of random variable with digital probability hyper digraph: Data-oriented approach. Proceedings of World Academy of Science, Engineering and Technology, 25, 25.

Bayani, A., & Kargar, M. (2024). LDCNN: A new arrhythmia detection technique with ECG signals using a linear deep convolutional neural network. Physiological Reports, 12(17), e16182.

Karegar, M., Saderi, T., Isazadeh, A., & Fartash, F. (2008). Electronic consulting in marketing. 2008 3rd International Conference on Information and Communication Technology, 5.