James Shine | Systems Neuroscience | Research Excellence Award

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Prof. Dr. James Shine | Systems Neuroscience | Research Excellence Award

Prof. Dr. James Shine | The University of Sydney | Australia

This researcher is an influential systems neurobiologist whose work has significantly advanced the scientific understanding of whole-brain neural dynamics. With over 170 peer-reviewed publications, more than 16,000 citations, an h-index of 67, and an i10-index of 177, their scholarly contributions have shaped multiple domains within contemporary neuroscience. Their research integrates multimodal neuroimaging, computational modelling, network science, and systems-level neurobiology to uncover the principles governing cognition, attention, and consciousness. A major focus of their work involves developing biophysically informed models that link neuroanatomical organization with large-scale patterns of human brain activity, enabling the generation of testable predictions across imaging modalities. Their publications span impactful studies in neuroimaging, neurobiology, and computational science, including widely cited papers in high-profile journals. Their seminal insights into dynamic functional brain network integration have catalyzed global interest in time-resolved brain connectivity, influencing methodological developments and being adopted by more than 100 research groups across over 90 countries. Their research program also advances innovative computational frameworks for analysing complex neural signals, contributing both theoretical and practical tools that inform the study of neurodegenerative conditions and cognitive function. their work continues to shape the direction of systems neuroscience and quantitative brain research.

Profile: Google Scholar

Featured Publications

Shine, J. M., Bissett, P. G., Bell, P. T., Koyejo, O., Balsters, J. H., Gorgolewski, K. J., … (2016). The dynamics of functional brain networks: Integrated network states during cognitive task performance. Neuron, 92(2), 544–554.

Hansen, J. Y., Shafiei, G., Markello, R. D., Smart, K., Cox, S. M. L., Nørgaard, M., … (2022). Mapping neurotransmitter systems to the structural and functional organization of the human neocortex. Nature Neuroscience, 25(11), 1569–1581.

Lurie, D. J., Kessler, D., Bassett, D. S., Betzel, R. F., Breakspear, M., Kheilholz, S., … (2020). Questions and controversies in the study of time-varying functional connectivity in resting fMRI. Network Neuroscience, 4(1), 30–69.

Shine, J. M., Breakspear, M., Bell, P. T., Ehgoetz Martens, K. A., Shine, R., … (2019). Human cognition involves the dynamic integration of neural activity and neuromodulatory systems. Nature Neuroscience, 22(2), 289–296.

Poldrack, R. A., Laumann, T. O., Koyejo, O., Gregory, B., Hover, A., Chen, M. Y., … (2015). Long-term neural and physiological phenotyping of a single human. Nature Communications, 6, 8885.

Shine, J. M., Matar, E., Ward, P. B., Frank, M. J., Moustafa, A. A., Pearson, M., … (2013). Freezing of gait in Parkinson’s disease is associated with functional decoupling between the cognitive control network and the basal ganglia. Brain, 136(12), 3671–3681.

William Blumentals | Clinical Neuroscience | Excellence in Research Award

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Dr. William Blumentals | Clinical Neuroscience | Excellence in Research Award

Dr. William Blumentals | Sanofi | United States

Dr. William A. Blumentals is an accomplished epidemiologist and pharmaceutical executive recognized for his leadership in pharmacoepidemiology, real-world evidence generation, and global health outcomes research. He serves as Associate Vice President and Head of Specialty Care Pharmacoepidemiology at Sanofi in Cambridge, Massachusetts, where he oversees a multinational team of epidemiologists across the United States and Europe, driving innovation in inflammation, immunology, oncology, and rare disease research. With a Ph.D. in Epidemiology from the University of South Florida, along with advanced degrees in Statistics, Epidemiology, and Biology, Dr. Blumentals has held senior positions at leading organizations including Shire Pharmaceuticals, Shionogi Inc., and Hoffmann-La Roche. His expertise spans strategic development of large-scale observational studies, organizational leadership, and cross-functional collaboration to optimize evidence-based decision-making in healthcare. As a thought leader in real-world evidence and outcomes research, he has contributed significantly to advancing global epidemiological practices. Dr. Blumentals has authored 36 scientific documents, accumulated 1,594 citations from 1,463 documents, and holds an h-index of 23, reflecting his strong scientific influence and impact in epidemiology and pharmaceutical research.

Profile: Scopus

Featured Publications

Multiple sclerosis and the association with inflammatory bowel disease: Results from a retrospective cohort study. (2025). Multiple Sclerosis and Related Disorders.


Cytokine release syndrome risk model with T-cell engaging therapies. (2025). Cytotherapy.


Evaluating the accuracy of responses by large language models for information on disease epidemiology. (2025). Pharmacoepidemiology and Drug Safety.

Siphokazi Gatyeni | Systems Neuroscience | Best Researcher Award

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Dr. Siphokazi Gatyeni | Systems Neuroscience | Best Researcher Award

Dr. Siphokazi Gatyeni | University of Johannesburg | South Africa

Dr Siphokazi Princess Gatyeni is a Lecturer in the Department of Mathematics and Applied Mathematics at the University of Johannesburg, having progressed through roles as Assistant Lecturer and Marker. She earned her PhD in Applied Mathematics with a thesis on the long-term dynamics of COVID-19 in South Africa under the supervision of Prof Farai Nyabadza and Prof Faraimunashe Chirove. Prior to that she completed an MSc in Mathematics studying modelling of in- and out-patient rehabilitation for substance abuse, and an Honours in Biomathematics modelling substance abuse dynamics. Her research focuses on infectious-disease modelling (COVID-19, TB, malaria), optimal control theory and social behaviour in epidemic systems, with demonstrated expertise in MATLAB, Python, Mathematica, LaTeX, R-Studio, Excel and SPSS. According to Google Scholar she has been cited 41 times. Her h-index is currently not publicly listed on that profile but the citation count reflects an active early-career research trajectory. Her work includes recent journal articles on meningitis transmission and the impact of vaccination strategies, as well as modelling the effects of stigma on COVID-19 transmission. In the classroom she emphasises real-world applications and technology-assisted instruction, teaching courses from Engineering Mathematics through Numerical Analysis and Special Topics, and is committed to mentoring postgraduate students in interdisciplinary mathematical modelling.

Profile: orcid

Featured Publications

Gatyeni, S. P. (2025). Mathematical modeling of meningitis transmission dynamics and the impact of vaccination strategies. Scientific African, e03048.

Mbalilo, V. M., Nyabadza, F., & Gatyeni, S. P. (2025). Modelling the potential impact of TB-funded prevention programs on the transmission dynamics of TB. Infectious Disease Modelling.

Gatyeni, S. P., Chirove, F., & Nyabadza, F. (2022). Modelling the potential impact of stigma on the transmission dynamics of COVID-19 in South Africa. Mathematics, 10(18), 3253.

Gatyeni, S. P. (2022). Application of optimal control to the dynamics of COVID-19 disease in South Africa. Scientific African, e01268.

Seyyed Ali Zendehbad | Clinical Neuroscience | Best Researcher Award

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Dr. Seyyed Ali Zendehbad | Clinical Neuroscience | Best Researcher Award

Dr. Seyyed Ali | Zendehbad University of Mazandaran | Iran

Dr. Seyyed Ali Zendehbad is a multidisciplinary researcher specializing in biomedical signal processing, cognitive computational neuroscience, and neurorehabilitation technologies. His research integrates deep learning, pattern recognition, and multimodal biological data modeling to enhance fatigue detection and neurorehabilitation systems. He has authored several peer-reviewed papers in reputable journals such as Scientific Reports, IEEE Access, Sensing and Bio-Sensing Research, and Healthcare Technology Letters, focusing on hybrid AI frameworks, EMG signal processing, and muscle synergy-based biofeedback mechanisms. Dr. Zendehbad’s work on developing intelligent rehabilitation systems, including his models like TraxVBF and FatigueNet, contributes to advancing telemonitoring and assistive technologies for neurological recovery. His scholarly output includes more than 25 documents, over 600 citations, and an h-index of 12, reflecting his growing impact in computational neuroscience and biomedical engineering. Recognized for innovation, he has achieved first-place awards in multiple national startup competitions and was honored with the Best Poster Award at the Congress of Neurology and Clinical Electrophysiology of Iran. As a postdoctoral researcher at the University of Mazandaran, his ongoing work emphasizes integrating trustworthy AI into telehealth systems, promoting equitable and efficient digital healthcare delivery through interdisciplinary research and technological innovation.

Profile: Orcid

Featured Publications

1. Mazrooei Rad, E., Mazinani, S. M., & Zendehbad, S. A. (2025). Diagnosis of Alzheimer’s disease using non-linear features of ERP signals through a hybrid attention-based CNN-LSTM model. Computer Methods and Programs in Biomedicine Update, 5, 100192.

2. Zendehbad, S. A., Sharifi Razavi, A., Tabrizi, N., & Sedaghat, Z. (2025). A systematic review of artificial intelligence techniques based on electroencephalography analysis in the diagnosis of epilepsy disorders: A clinical perspective. Epilepsy Research, 207, 107582.

3. Mazrooei Rad, E., Zendehbad, S. A., & Hosseinzadeh, V. (2025). Fetal QRS complex detection based on adaptive filters and peak detection. Research on Biomedical Engineering, 41(3), 424–438.

4. Zendehbad, S. A., Ghasemi, J., & Samsami Khodadad, F. (2025). FatigueNet: A hybrid graph neural network and transformer framework for real-time multimodal fatigue detection. Scientific Reports, 15(1), 640.

5. Safdel, A., Zendehbad, S. A., & Ghasemi, J. (2025). Advanced deep learning approaches for accurate and efficient suspicious behavior detection in surveillance videos. Computational Sciences and Engineering, 21(2), 1099.

Victoria Carter | Emerging Areas in Neuroscience | Best Researcher Award

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Dr. Victoria Carter | Emerging Areas in Neuroscience | Best Researcher Award

Dr. Victoria Carter | VCA West Coast Vet Hospital | United States

Victoria Carter is a highly skilled small-animal internal-medicine clinician and researcher whose diverse training and leadership reflect her commitment to veterinary excellence. After earning a BSc (Hons) in Biological Science from the University of Guelph in Canada, followed by a DVMS (Bachelor of Veterinary Medicine & Surgery) from the Royal (Dick) School of Veterinary Studies in Edinburgh (where she received multiple awards including the CEVA Dermatology Prize and the Outstanding Student Leadership Award), she completed internships, a residency in Small Animal Internal Medicine at the University of Pennsylvania – Matthew J. Ryan Veterinary Hospital, and now serves as one of the lead internal medicine clinicians at the VCA West Coast Specialty & Emergency Animal Hospital in Fountain Valley, CA. Her clinical repertoire includes advanced endoscopic procedures (gastroduodenoscopy, ileocolonoscopy, bronchoscopy, rhinoscopy, cystoscopy/vaginoscopy and tracheoscopy) and she is experienced in high-volume inpatient and outpatient settings, collaborating across hospital services to tailor diagnostics and care plans for complex cases. Her research interests include immune-mediated diseases, such as primary immune-mediated neutropenia in the context of an earlier-diagnosed Evans syndrome in dogs (Carter & Silvestrini, Vet Rec Case Rep) and a retrospective international study on hypercobalaminaemic cats in progress under mentor Paolo Silvestrini MSc, PhD, DECVIM(CA). She has authored [DOCUMENTS-COUNT] publications, amassed [CITATIONS-COUNT] citations, and holds an h-index of [H-INDEX]. A native Canadian, fluent in English and French, she brings strong leadership, communication and interpersonal skills — especially in high-pressure environments — and fosters a positive, collaborative veterinary team culture while building excellent relationships with clients and patients.

Profile: Orcid

Featured Publication

Carter, V., & Silvestrini, P. (2025, September 24). Primary immune‐mediated neutropenia as part of a relapse of previously diagnosed Evans syndrome in a dog. Veterinary Record Case Reports.

Edris Hoseinzadeh | Developmental Neuroscience | Best Researcher Award

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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.

Mansoor Showkat | Computational Neuroscience | Best Researcher Award

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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.

Musawer Hakimi | Systems Neuroscience | Best Researcher Award

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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.

Mahmoodreza Azghani | Computational Neuroscience | Best Researcher Award

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Assoc. Prof. Dr. Mahmood Reza Azghani | Computational Neuroscience | Best Researcher Award

Assoc. Prof. Dr. Mahmood Reza Azghani | Tabriz university of Technology | Iran

Mahmood-reza Azghani is an Associate Professor in the Department of Biomechanics at the Faculty of Biomedical Engineering, Tabriz University of Technology (Sahand). He earned his Ph.D. in robotics and biomechanics from Sharif University of Technology, Tehran, and has since established himself as a recognized scholar in biomechanics, robotics, and medical simulation technologies. His research interests include robotic-assisted systems, biomechanical modeling, and the development of innovative healthcare technologies. He has authored more than 90 papers in high-impact international journals, contributing substantially to the advancement of his field. His research influence is reflected in his academic metrics, with over 738 citations on Google Scholar and 458 on Scopus, an h-index of 13 and 12 respectively, and an i10-index of 22 and 16, highlighting both the breadth and depth of his scholarly contributions. Alongside publications, he has registered several innovations at the Iranian Patent Center and founded a start-up company dedicated to robotic simulators for medical examination, underscoring his entrepreneurial vision and translational impact. His outstanding academic achievements have been acknowledged with multiple awards for research excellence and innovative projects, positioning him as a leading figure in the integration of engineering and medicine within the field of biomedical engineering.

Profiles: Google Scholar | Research Gate

Featured Publications

Manshadi, F. D., Parnianpour, M., Sarrafzadeh, J., & Azghani, M. R. (2011). Abdominal hollowing and lateral abdominal wall muscles’ activity in both healthy men and women: An ultrasonic assessment in supine and standing positions. Journal of Bodywork and Movement Therapies, 15(1), 108–113.

Ghorbanpour, A., Azghani, M. R., Taghipour, M., Salahzadeh, Z., Ghaderi, F., & others. (2018). Effects of McGill stabilization exercises and conventional physiotherapy on pain, functional disability and active back range of motion in patients with chronic non-specific low back pain. Journal of Physical Therapy Science, 30(4), 481–485.

Aghazadeh, J., Ghaderi, M., Azghani, M. R., Khalkhali, H. R., Allahyari, T., & others. (2015). Anti-fatigue mats, low back pain, and electromyography: An interventional study. International Journal of Occupational Medicine and Environmental Health, 28, 1–9.

Karimi, Z., Allahyari, T., Azghani, M. R., & Khalkhali, H. (2016). Influence of unstable footwear on lower leg muscle activity, volume change and subjective discomfort during prolonged standing. Applied Ergonomics, 53, 95–102.

Azghani, M. R., Farahmand, F., Meghdari, A., Vossoughi, G., & Parnianpour, M. (2009). Design and evaluation of a novel triaxial isometric trunk muscle strength measurement system. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 223(7), 879–889.

Mirakhorlo, M., Azghani, M. R., & Kahrizi, S. (2014). Validation of a musculoskeletal model of lifting and its application for biomechanical evaluation of lifting techniques. Journal of Research in Health Sciences, 14(1), 29–35.

Dehghan Manshadi, F., Parnianpour, M., Sarrafzadeh, J., & Azghani, M. (2011). Abdominal hollowing and lateral abdominal wall muscle activity in both healthy men and women: An ultrasonic assessment in supine and standing positions. Journal of Bodywork & Movement Therapies, 15(1), 108–113.

Salehi-Pourmehr, H., Rahbarghazi, R., Mahmoudi, J., Roshangar, L., & others. (2019). Intra-bladder wall transplantation of bone marrow mesenchymal stem cells improved urinary bladder dysfunction following spinal cord injury. Life Sciences, 221, 20–28.

Masoud Kargar | Computational Neuroscience | Best Researcher Award

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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.