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.

Carmen Berenguer | Behavioral Neuroscience | Women Researcher Award

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Assoc. Prof. Dr. Carmen Berenguer | Behavioral Neuroscience | Women Researcher Award

Assoc. Prof. Dr. Carmen Berenguer | Universitat de Valencia | Spain

Dr. Carmen Berenguer is an Associate Professor in the Department of Developmental and Educational Psychology at the University of Valencia. She holds a degree in Psychology, a Master’s in Cognitive Neuroscience and Special Educational Needs, and a Ph.D. in Psychology with the distinction of Cum Laude and International Doctorate from the same university. Her research has consistently focused on neurodevelopmental disorders, particularly Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD), exploring cognitive, social, communication, and learning dimensions. In recent years, she has extended her work to examine comorbid conditions such as sleep difficulties and to design psychosocial intervention programs for families of children with ASD and ADHD. Dr. Berenguer has completed or participated in nine research projects and authored 20 books. She holds two patents related to psychosocial programs and augmented reality applications for educational and therapeutic purposes. With 54 published documents, her work has been cited in 994 scientific papers, accumulating a total of 1,077 citations and achieving an h-index of 17, reflecting her significant impact in developmental psychology and neurodevelopmental research.

Profiles: Scopus | orcid | Google Scholar

Featured Publications

(2025). Characteristics, motivations and attitudes of students using ChatGPT and other language model-based chatbots in higher education. Education and Information Technologies.

(2025). Parenting stress in autistic and ADHD children: Implications of social support and child characteristics. Journal of Autism and Developmental Disorders.

(2025). Sleep disturbances in autistic children and adolescents: A systematic review and meta-analysis of randomized controlled trials.

(2025). Augmented reality and learning-cognitive outcomes in autism spectrum disorder: A systematic review.

(2025). Occupational stress, burnout, and job satisfaction amongst Spanish speech-language pathologists. International Journal of Speech Language Pathology.

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.

Chun-An Cheng | Translational Neuroscience | Lifetime achievement Award

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Assist. Prof. Dr. Chun-An Cheng | Translational Neuroscience | Lifetime achievement Award

Assist. Prof. Dr. Chun-An Cheng | Tri-Service General Hospital | Taiwan

Assistant Professor Dr. Chun-An Cheng is a distinguished researcher affiliated with the Tri-Service General Hospital, Taiwan, known for his significant contributions to medical and clinical research. He has authored 73 scholarly documents, which have collectively garnered 658 citations across 620 publications, reflecting the wide impact and recognition of his scientific work. With an h-index of 14, Dr. Cheng has demonstrated consistent research productivity and influence within his field. His research encompasses multidisciplinary areas in clinical medicine, focusing on advancing diagnostic methodologies, therapeutic innovations, and patient-centered healthcare strategies. Through his collaborations and publications, Dr. Cheng has contributed to improving the understanding of complex medical conditions and enhancing evidence-based clinical practices. His dedication to translational research bridges the gap between laboratory findings and clinical applications, reinforcing his role as a key figure in the Taiwanese medical research community. Dr. Cheng continues to drive impactful studies that promote innovation, patient safety, and improved health outcomes, positioning him as a leading voice in contemporary clinical science.

Profiles: Scopus | Orcid | Research Gate

Featured Publications

  • (2025). Effects of exposure to air pollution and cold weather on acute myocardial infarction mortality. Atmosphere.

  • (2025). The risk of ischemic stroke in patients with chronic obstructive pulmonary disease and atrial fibrillation. Life.

  •  (2024). Increased risk of psychiatric disorder in patients with hearing loss: A nationwide population-based cohort study. Journal of Translational Medicine.

  • (2024). Diabetes mellitus and gynecological and inflammation disorders increased the risk of pregnancy loss in a population study. Life.

  • (2024). The influence of fine particulate matter and cold weather on emergency room interventions for childhood asthma. Life.

  • (2024). Impact of foodborne disease in Taiwan during the COVID-19 pandemic. Medicina (Lithuania).

  • (2024). Analyzing COVID-19 and air pollution effects on pediatric asthma emergency room visits in Taiwan. Toxics.

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.

Jane Paulsen | Clinical Neuroscience | Best Researcher Award

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Prof. Dr. Jane Paulsen | Clinical Neuroscience | Best Researcher Award

Prof. Dr. Jane Paulsen | University of Wisconsin Madison | United States

Dr. Jane S. Paulsen, Ph.D., is a Professor of Neurology and Vice Chair for Research at the University of Wisconsin–Madison, where she also contributes to the Department of Neurosciences Graduate Program. Her expertise lies in cognitive, psychiatric, and imaging correlates of neuropsychiatric disorders, with a strong focus on the early detection of brain diseases and the development of innovative methods for clinical trials. She has significantly advanced the understanding of genetic discrimination and the discovery and validation of biological and clinical markers of brain disease, incorporating neuroimaging and omics-based outcomes into her research. Dr. Paulsen completed her Ph.D. in Counseling Psychology at the University of Iowa, followed by postdoctoral training in Neuropsychology at the University of California, San Diego, where she worked on Alzheimer’s and geriatric psychiatry research. Over her career, she has held key positions including Director of the Huntington’s Disease Clinical Research Program at UCSD and has contributed extensively to advancing neuropsychological research and clinical applications. Her scholarly impact includes 4 published documents, 78 citations from 77 documents, and an h-index of 3, reflecting her influence in the fields of neurology, neuropsychology, and cognitive neuroscience.

Profiles: Scopus | Google Scholar | Reserach Gate | linked In

Featured Publications

Sachdev, P. S., Blacker, D., Blazer, D. G., Ganguli, M., Jeste, D. V., Paulsen, J. S., & Petersen, R. C. (2014). Classifying neurocognitive disorders: The DSM-5 approach. Nature Reviews Neurology, 10(11), 634–642.

Ross, C. A., Aylward, E. H., Wild, E. J., Langbehn, D. R., Long, J. D., Warner, J. H., & Paulsen, J. S. (2014). Huntington disease: Natural history, biomarkers and prospects for therapeutics. Nature Reviews Neurology, 10(4), 204–216.

Paulsen, J. S., Langbehn, D. R., Stout, J. C., Aylward, E., Ross, C. A., Nance, M., & Shoulson, I. (2008). Detection of Huntington’s disease decades before diagnosis: The Predict-HD study. Journal of Neurology, Neurosurgery & Psychiatry, 79(8), 874–880.

Langbehn, D. R., Brinkman, R. R., Falush, D., Paulsen, J. S., Hayden, M. R., & International Huntington’s Disease Collaborative Group. (2004). A new model for prediction of the age of onset and penetrance for Huntington’s disease based on CAG length. Clinical Genetics, 65(4), 267–277.

Levy, M. L., Cummings, J. L., Fairbanks, L. A., Masterman, D., Miller, B. L., Craig, A. H., & Paulsen, J. S. (1998). Apathy is not depression. The Journal of Neuropsychiatry and Clinical Neurosciences, 10(3), 314–319.

Sachdev, P., Kalaria, R., O’Brien, J., Skoog, I., Alladi, S., Black, S. E., Blacker, D., & Paulsen, J. S. (2014). Diagnostic criteria for vascular cognitive disorders: A VASCOG statement. Alzheimer Disease & Associated Disorders, 28(3), 206–218.

Palmer, B. W., Heaton, R. K., Paulsen, J. S., Kuck, J., Braff, D., Harris, M. J., & Zisook, S. (1997). Is it possible to be schizophrenic yet neuropsychologically normal? Neuropsychology, 11(3), 437–446.

Plis, S. M., Hjelm, D. R., Salakhutdinov, R., Allen, E. A., Bockholt, H. J., Long, J. D., & Calhoun, V. D. (2014). Deep learning for neuroimaging: A validation study. Frontiers in Neuroscience, 8, 229.

Mohamed, S., Paulsen, J. S., O’Leary, D., Arndt, S., & Andreasen, N. (1999). Generalized cognitive deficits in schizophrenia: A study of first-episode patients. Archives of General Psychiatry, 56(8), 749–754.

Paulsen, J. S., Ready, R. E., Hamilton, J. M., Mega, M. S., & Cummings, J. L. (2001). Neuropsychiatric aspects of Huntington’s disease. Journal of Neurology, Neurosurgery & Psychiatry, 71(3), 310–314.

Kareem Al-Khalil | Cognitive Neuroscience | Best Researcher Award

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Dr. Kareem Al-Khalil | Cognitive Neuroscience | Best Researcher Award

Dr. Kareem Al-Khalil | University of Wisconsin – Madison | United States

Kareem I. Al-Khalil is a Multimodal Imaging Scientist at the Institute on Aging, University of Wisconsin-Madison, with extensive expertise in human development, family sciences, and neuroscience. He earned his Ph.D. in Human Development & Family Sciences, focusing on differences in brain activation and connectivity among college students with varying mathematical abilities, and holds dual M.Sc. degrees in Psychology and Experimental Psychology, as well as a B.Sc. in Biology. His professional trajectory spans postdoctoral research and associate positions at Duke University School of Medicine and the Mind Research Network, where he contributed to understanding neurocognitive processes in psychiatric and behavioral contexts. He has also served as a research analyst, teaching assistant, and graduate instructor, gaining substantial experience in experimental design, psychometrics, and cognitive neuroscience. Al-Khalil’s research contributions include peer-reviewed publications on connectomics, brain network disruption in HIV and substance use, and structural connectivity alterations associated with chronic cannabis use. His work has garnered a total of 201 citations, with an h-index of 8 and an i10-index of 7, reflecting his influence in the fields of cognitive neuroscience and neuroimaging. Through his research, he advances understanding of brain function, network connectivity, and cognitive processes in health and disease, integrating behavioral science with multimodal imaging approaches.

Profiles: Google Scholar | Linked In

Featured Publications

Al-Khalil, K., Vakamudi, K., Witkiewitz, K., & Claus, E. D. (2021). Neural correlates of alcohol use disorder severity among nontreatment‐seeking heavy drinkers: An examination of the incentive salience and negative emotionality domains of the … Alcoholism: Clinical and Experimental Research, 45(6), 1200–1214.

Hou, J., Rajmohan, R., Fang, D., Kashfi, K., Al-Khalil, K., Yang, J., & Westney, W. (2017). Mirror neuron activation of musicians and non-musicians in response to motion captured piano performances. Brain and Cognition, 115, 47–55.

Niehuis, S., Reifman, A., Al-Khalil, K., Oldham, C. R., Fang, D., & O’Boyle, M. (2019). Functional magnetic resonance imaging activation in response to prompts of romantically disillusioning events. Personal Relationships, 26(2), 209–231.

Gonzales, J. U., James, C. R., Yang, H. S., Jensen, D., Atkins, L., & Thompson, B. J. (2016). Different cognitive functions discriminate gait performance in younger and older women: A pilot study. Gait & Posture, 50, 89–95.

Calderon-Delgado, L., Barrera-Valencia, M., Noriega, I., & Al-Khalil, K. (2020). Implicit processing of emotional words by children with post-traumatic stress disorder: An fMRI investigation. International Journal of Clinical and Health Psychology, 20(1), 46–53.

Noriega, I., Trejos-Castillo, E., Chae, Y., & Calderon-Delgado, L. (2021). Emotional memory processing in post‐traumatic stress disorder affected Colombian youth. International Journal of Psychology, 56(3), 387–393.

Kashfi, K., Al-Khalil, K., Hou, J., Fang, D., Anderson, R., Rajmohan, R., & Syapin, P. (2017). Hyper-brain connectivity in binge drinking college students: A diffusion tensor imaging study. Neurocase, 23(3–4), 179–186.

Kashfi, K., Fang, D., Hou, J., Al-Khalil, K., Anderson, R., Syapin, P. J., & O’Boyle, M. W. (2017). Spatial attention in binge-drinking and moderate-drinking college students: An fMRI investigation. Alcoholism Treatment Quarterly, 35(3), 260–278.

Swartz, M., Burton, F., Vakamudi, K., Al-Khalil, K., Witkiewitz, K., & Claus, E. D. (2021). Age dependent neural correlates of inhibition and control mechanisms in moderate to heavy drinkers. NeuroImage: Clinical, 32, 102875.

Zhou Yu | Behavioral Neuroscience | Best Researcher Award

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Dr. Zhou Yu | Behavioral Neuroscience | Best Researcher Award

Dr. Yu Zhou is a postdoctoral researcher at Army Engineering University, specializing in the intersection of neuroscience, computer vision, and target detection. His research primarily focuses on deceptive visual design for both human and machine perception, exploring how visual stimuli can influence detection, recognition, and cognitive processing. Zhou has conducted pioneering studies on camouflage and optical deception, utilizing EEG-based brain functional network analysis to evaluate target visibility and cognitive responses. His work integrates principles from weapon science, biomedical engineering, and computer science to develop comprehensive models of visual perception and deception. Representative publications include investigations into neural responses to camouflage targets with varying exposure signs, the impact of color differences on brain activation patterns, and feasibility assessments of optical camouflage effects. Through these studies, he contributes to a deeper understanding of how visual designs can manipulate human attention and computer vision systems, providing actionable insights for defense technology applications. Zhou’s research emphasizes rigorous quantitative evaluation methods, leveraging neurophysiological data to inform the design of effective deceptive visual patterns. With an h-index of 2 and multiple citations, his work demonstrates a growing influence in fields spanning neuroscience-informed computer vision, perceptual deception, and applied optical camouflage.

Profiles: Scopus | Reasearch Gate

Featured publication

Author(s). (2024). Neural responses to camouflage targets with different exposure signs based on EEG. Neuropsychologia.

Dipesh | Computational Neuroscience | Best Researcher Award

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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.

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.