Meng Wang | Neuroanatomy | Best Researcher Award

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Mr. Meng Wang | Neuroanatomy | Best Researcher Award

Mr. Meng Wang | Chongqing Medical University | China

Meng Wang is an Associate Professor at Chongqing Medical University, where he leads an innovative research program focused on unraveling the neural encoding mechanisms underlying sensory memory traces. His work employs multiscale approaches that integrate neural networks, cellular ensembles, and synaptic plasticity to advance the systematic mapping of cortical memory processes through microscale functional connectivity maps. Dr. Wang has made landmark contributions to neuroscience, including the identification of Holistic Bursting (HB) cells as putative auditory memory engram neurons characterized by superlinear integration properties, providing novel insights into how sensory memories are encoded and maintained in the brain. His research program bridges cellular neurobiology with systems neuroscience, offering a comprehensive framework for understanding memory formation at multiple organizational levels. A committed scholar, Dr. Wang has authored 15 scientific documents that have collectively received 156 citations from 149 publications, reflecting the impact and visibility of his work within the global scientific community. His h-index of 7 demonstrates a growing influence in the field, underscoring both the relevance and originality of his research. Through his pioneering efforts, Dr. Wang continues to contribute significantly to advancing the understanding of cortical mechanisms that shape memory processing and sensory cognition.

Profiles: Scopus | Research Gate

Featured Publications

Author(s). (2025). 6-Gingerol, an active compound of ginger, attenuates NASH-HCC progression by reprogramming tumor-associated macrophage via the NOX2/Src/MAPK signaling pathway. BMC Complementary Medicine and Therapies.

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.

Rezvan Ghafarzadegan | Clinical Neuroscience | Best Researcher Award

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Mrs. Rezvan Ghafarzadegan | Clinical Neuroscience | Best Researcher Award

Mrs. Rezvan Ghafarzadegan | Tarbiat Modares University | Iran

Rezvan Ghafarzadegan is a distinguished nursing scholar specializing in Medical-Surgical Education, holding an M.Sc. in Nursing from Tehran University of Medical Sciences and a B.Sc. in Nursing from Arak University of Medical Sciences, both completed with exceptional academic honors and outstanding GPAs. She is currently a Ph.D. candidate in Nursing at Tarbiat Modares University, demonstrating a strong commitment to advancing nursing education and clinical practice. Rezvan has extensive teaching experience, serving as an instructor for Medical-Surgical Nursing, Emergency Medicine, Internal Diseases, Medical Ethics, Pathophysiology, Orthopedic Surgical Technology, and Introduction to Surgical Technology. She also has broad clinical instruction expertise in Emergency, Internal Medicine (Gastroenterology & Endocrinology), Orthopedics, Neurosurgery, and General Surgery, along with operating room education. Her scholarly contributions include 9 published documents that have collectively earned 31 citations, reflecting her growing impact in the field, and she holds an h-index of 3. Recognized throughout her academic journey as an exceptional talent student, Rezvan combines clinical expertise with a deep dedication to research, striving to improve nursing education and patient care through both her teaching and scientific endeavors.

Profiles: Scopus | Orcid | Research gate

Featured Publications

Zarei, M., Norouzi, N., Teymoori, E., & Ghafarzadegan, R. (2025). Covering sterile instrument tables to prevent airborne bacterial contamination and surgical wound infections: A narrative review of operating room nursing practices. Perioperative Care and Operating Room Management, 100495.

Ghafarzadegan, R., Zarei, M., Norouzi, N., Mirbagher Ajorpaz, N., Lotfi, S. M., Rasooli Manesh, S. M., Akbari, H., & Abedi, A. (2025). Efficacy of an Iranian herbal medicine formula for postoperative constipation in trauma patients with hip and lower limb fractures: A triple-blind, placebo-controlled randomized clinical trial. International Journal of Orthopaedic and Trauma Nursing, 101163.

Javaheri, J., Asgari, M., & Ghafarzadegan, R. (2023). The effect of Nigella sativa powder on blood sugar and lipid profiles in type 2 diabetic patients. Jundishapur Journal of Natural Pharmaceutical Products, e135757.

Aikaterini Sousamli | Behavioral Neuroscience | Best Researcher Award

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Dr. Aikaterini Sousamli | Behavioral Neuroscience | Best Researcher Award

Dr. Aikaterini Sousamli | University of West Attica | Greece

Aikaterini Sousamli, Midwife, MSc, PhD Candidate at the University of West Attica, is a dedicated healthcare professional and researcher specializing in perinatal health, reproductive medicine, and family planning. She graduated with distinction from the University of Thessaly with an MSc in Primary Health Care and holds a degree in Midwifery from the TEI of Athens. Her doctoral research focuses on perinatal factors associated with the occurrence of Autism Spectrum Disorder (ASD) in children and its impact on family dynamics. Alongside her academic pursuits, she has extensive professional experience as a midwife at the Larissa Health Center and as a research associate in national and international health projects addressing antimicrobial resistance, perinatal care, and global health indicators. She has authored and co-authored numerous peer-reviewed publications in high-impact journals, covering topics such as maternal mental health, menopause, perinatal risk factors for ASD, and sexual health in women with chronic conditions. Her research has been widely cited, with an h-index of 5, 15 scientific documents, and 120 total citations, reflecting her growing academic influence. Active in scientific conferences across Europe, Africa, and Asia, she also serves as a reviewer for the Journal of Gynecology and Obstetrics, contributing to advancing evidence-based midwifery practice globally.

Profiles: Orcid | Research Gate

Featured Publications

Sousamli, A., Vidali, M., Dourou, P., Sarantaki, A., Deltsidou, A., & Vivilaki, V. (2025). Crafting kinship beyond biology: Maternal experiences in non-genetic family formation – A systematic review. MAEDICA – A Journal of Clinical Medicine.

Sousamli, A., Patronidou, D., Taskou, C., Athanasiadou, C.-R., Dourou, P., & Sousamli, A. (2025). The role of the maternal gut microbiome in regulating endocrine function during pregnancy and postpartum: Implications for neonatal health. World Journal of Advanced Research and Reviews, 27(1).

Sousamli, A., Malli, F., Tsaras, K., Dourou, P., Sarantaki, A., & Malliarou, M. (2025). Psychological burden, stress, depression, and resilience among midwives: An epidemiological study in Thessaly, Greece. Journal of Clinical & Basic Psychosomatics.

Sousamli, A., Malliarou, M., Sarantaki, A., Dourou, P., Malli, F., & Tsaras, K. (2025). Psychological burden and burnout among midwives: An epidemiological study in Thessaly, Greece. Journal of Clinical & Basic Psychosomatics.

Sousamli, A. E., & Dourou, P. D. (2025). The impact of menopause on sexual health: A cross-sectional study using data from women living in Northern Greece. World Journal of Advanced Research and Reviews, 26(3).

Sousamli, A. E., & Dourou, P. D. (2025). Association between menopause and quality of life: A cross-sectional study using data from women living in Northern Greece. World Journal of Advanced Research and Reviews, 25(3).

Sousamli, A. E., & Dourou, P. D. (2024). Relationship between episiotomy and dyspareunia: A narrative review of the most recent literature. World Journal of Advanced Research and Reviews, 24(3).

Sousamli, A., Dragioti, E., Metallinou, D., Lykeridou, A., Dourou, P., Athanasiadou, C.-R., Anagnostopoulos, D., & Sarantaki, A. (2024). Perinatal and demographic risk factors associated with autism spectrum disorder: A national survey of potential predictors and severity. Healthcare, 12(20).

Zia-ur-Rehman | Neuroimaging | Best Researcher Award

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Mr. Zia-ur-Rehman | Neuroimaging | Best Researcher Award

Mr. Zia-ur-Rehman | University of Sultan Zainal Abidin | Pakistan

Dr. Zia-ur-Rehman is a dedicated Computer Science researcher and Ph.D. scholar at Universiti Sultan Zainal Abidin (UniSZA), Malaysia, specializing in deep learning, image processing, and computer vision, with a focus on Alzheimer’s disease diagnosis through advanced neuroimaging techniques. He has contributed significantly to the field with publications in high-impact journals such as Ain Shams Engineering Journal, Health Science Reports, and PLoS ONE, with a total of 8 published articles and 5 more under review in reputed international journals. His research outputs are well-recognized in the global academic community, reflected by his Scopus profile showing an h-index of 3, with 105 citations across 12 documents. Beyond publishing, Dr. Zia-ur-Rehman serves as a reviewer for indexed journals including Biomedical Signal Processing and Control and the International Computing and Digital Systems Journal, and as a Technical Program Committee member in international IEEE conferences in Lebanon, UAE, and Bahrain. He has also earned multiple international certifications in machine learning, research methods, and data science from leading institutions including Johns Hopkins University, Duke University, University of London, University of Amsterdam, and IBM. With a blend of teaching, research, and global academic collaborations, he continues to advance innovative solutions in artificial intelligence for healthcare applications.

Profiles: Orcid | Research Gate

Featured Publications

  • Rehman, Z.-u., Awang, M. K., Ali, G., Hamza, M., Ali, T., Ayaz, M., & Hijji, M. (2025). 3D-MobiBrainNet: Multi-class Alzheimer’s disease classification using 3D brain magnetic resonance imaging. Ain Shams Engineering Journal.

  • Rehman, Z.-u., Awang, M. K., Ali, G., & Faheem, M. (2025). Recent advancements in neuroimaging-based Alzheimer’s disease prediction using deep learning approaches in e-health: A systematic review. Health Science Reports, 8(5).

  • Rehman, Z.-u., Awang, M. K., Ali, G., & Faheem, M. (2024). Deep learning techniques for Alzheimer’s disease detection in 3D imaging: A systematic review. Health Science Reports, 7(9).

  • Rehman, Z.-u., Awang, M. K., Rashid, J., Ali, G., Hamid, M., Mahmoud, S. F., Saleh, D. I., & Ahmad, H. I. (2024). Classification of Alzheimer disease using DenseNet-201 based on deep transfer learning technique. PLOS ONE, 19(9).

  • Rehman Bathla, Z.-u. (2017). Formal specification and verification of web semantic design methodology (WSDM). International Review of Basic and Applied Sciences.

  • Rehman Bathla, Z.-u. (2017). Object oriented paradigm vs. agent oriented paradigm. International Review of Basic and Applied Sciences.

  • Rehman Bathla, Z.-u. (2017, August). Audio watermarking by hybridization of DWT-DCT. International Journal of Computer Science and Network Security (IJCSNS).

  • Rehman Bathla, Z.-u. (2015). Consumers’ trust on multinational brand (A quantitative research on Microsoft products in Sahiwal, Pakistan). Global Journal of Research in Business & Management.

Abbas Shahsavani | Cognitive Neuroscience | Best Researcher Award

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Assoc. Prof. Dr. Abbas Shahsavani | Cognitive Neuroscience | Best Researcher Award

Assoc. Prof. Dr. Abbas Shahsavani | Shahid Beheshti University of Medical Sciences| Iran

Dr. Abbas Shahsavani is an Associate Professor and Lecturer in the Department of Environmental Health Engineering at the School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran, and also serves as Head of the Air Health and Climate Change Department at the Ministry of Health of the Islamic Republic of Iran. He holds a Ph.D., M.Sc., and B.Sc. in Environmental Health Engineering from Tehran University of Medical Sciences. His research expertise encompasses air pollution, indoor air pollution, dust storms, climate change, toxicology, microplastics, biofuels, health impact assessment, risk assessment, and the health effects of environmental exposures. He has supervised and consulted more than 38 master’s theses and 10 Ph.D. dissertations in air pollution and its health consequences. Dr. Shahsavani has authored over 130 peer-reviewed publications, including journal articles, book chapters, and an edited volume, with significant contributions to environmental and public health sciences. According to Scopus, he has published 129 documents with more than 2,400 citations and holds an h-index of 27, while his Google Scholar profile shows over 4,200 citations with an h-index of 34. His impactful research and academic leadership continue to advance understanding of environmental health risks and policy development globally.

Profiles: Scopus | Orcid | Google Scholar | Research Gate | Staff page

Featured Publications

  • Shahsavani, A., et al. (2025). Investigating the inflammatory effect of microplastics in cigarette butts on peripheral blood mononuclear cells. Scientific Reports.

  • Shahsavani, A., et al. (2025). Environmental heavy metal exposure and altering anti-Mullerian hormone levels in women. BMC Women’s Health.

  • Shahsavani, A., et al. (2025). Investigating the influence of urban land use on asbestos concentration and identifying the most vulnerable areas in Shiraz, Iran. Scientific Reports.

  • Shahsavani, A., et al. (2025). Assessment of disease burden and mortality attributable to air pollutants in northwestern Iran using the AirQ+ software. Scientific Reports.

  • Shahsavani, A., et al. (2025). Health outcomes attributed to inhalation of microplastic released from mask during COVID-19 pandemic: A systematic review. [Journal name missing].

  • Shahsavani, A., et al. (2025). Promoting environmental sustainability and climate change resilience at healthcare facilities: A pilot study in Iran. International Journal of Environmental Science and Technology.

  • Shahsavani, A., et al. (2025). Seasonal variation of airborne fungal diversity and community structure in Urmia Lake, Iran. International Journal of Environmental Health Research.

  • Shahsavani, A., et al. (2025). Metal organic framework-based photocatalyst-assisted peroxone process for formaldehyde and acetaldehyde removal from waste air stream: Intermediates and mineralization. International Journal of Environmental Analytical Chemistry.

  • Shahsavani, A., et al. (2024). Spatiotemporal estimation of black carbon concentration in Tehran using aerosol optical depth remote sensing data and meteorological parameters: Health risk assessment and relationship with green spaces. Sustainable Cities and Society.

  • Shahsavani, A., et al. (2024). Extensive investigation of seasonal and spatial fluctuations of BTEX in an industrial city with a health risk assessment. Scientific Reports.

Thais Reis Lage Nunes | Stroke | Best Researcher Award

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Ms. Thais Reis Lage Nunes | Stroke | Best Researcher Award

Universidade Federal de Minas Gerais | Brazil

Thais Aparecida Reis Lage is a Brazilian physician and neurologist with a background in clinical cardiology and stroke in Chagas disease, and expertise in internist medicine. She earned her medical degree from the Universidade Federal de Minas Gerais and completed specialization in neurology, followed by a master’s in Infectious and Tropical Medicine where she studied factors associated with ischemic stroke in patients with Chagas cardiomyopathy. Her professional experience includes roles as internist, emergency clinician, and neurologist at various institutions in Belo Horizonte, and she is also active in hospital work via public service and part-time positions. She has contributed to scientific literature, including a paper on a murine model studying brain, behavior, and immunity during hepatic encephalopathy. According to available bibliometric sources, she has 8 documents and 1 citation, with an h-index of 5. She is fluent in Portuguese and English, with functional proficiency in Spanish, and is involved in medical and academic activities including teaching, research, and hospital practice. She lives in Belo Horizonte and conducts her professional work primarily tied to Universidade Federal de Minas Gerais and associated hospitals.

Profiles: Scopus

Featured Publications

“Predictors of ischemic stroke in Chagas disease: Insights into mechanisms beyond cardiomyopathy severity”

Juan Pablo Appendino | Pediatric Neurology | Best Researcher Award

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Prof. Juan Pablo Appendino | Pediatric Neurology | Best Researcher Award

Jim Pattison Children’s Hospital – University of Saskatchewan | Canada

Juan Pablo Appendino is a highly accomplished pediatric neurologist and epileptologist currently serving at the Jim Pattison Children’s Hospital in Saskatoon, Canada, where he specializes in pediatric epilepsy and child neurology. He obtained his medical degree and pediatric specialization from the Universidad Nacional de Córdoba in Argentina before advancing his training in pediatric neurology and epilepsy at The Hospital for Sick Children, University of Toronto. His professional development includes certification as a Diplomate in Electroencephalography, licensure with the Medical Council of Canada, and recognition as a Fellow of the American Epilepsy Society and the Royal College of Physicians and Surgeons of Canada. Over the course of his career, Dr. Appendino has made substantial contributions to the academic and clinical understanding of childhood epilepsy, with a strong emphasis on EEG diagnostics, treatment strategies for refractory epilepsy, and pediatric neurological disorders. His scholarly output includes 54 published documents, garnering around 264 citations and an h-index of 7, underscoring the impact of his research within the medical community. With a professional background that bridges Argentina and Canada, Dr. Appendino continues to integrate clinical expertise with academic scholarship, advancing the field of pediatric epilepsy through patient care, mentorship, and research.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

  • “Characterization of a real-world population with pediatric epilepsy point-of-care standardized data collection as a tool for healthcare quality improvement and disparities research in Canada”

  • “Successful Treatment of Pediatric Neurosarcoidosis With Corticosteroids, Infliximab, and Methotrexate”

  • “Chikungunya virus infection: A scoping review highlighting pediatric systemic and neurologic complications”

  • “Cortical Stimulation for brain mapping and seizure stimulation, pediatric practices throughout Canada: A national survey and systematic literature review”

  • “Detecting somatic variants in purified brain DNA obtained from surgically implanted depth electrodes in epilepsy”

 

Gang Cao | Behavioral Neuroscience | Best Researcher Award

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Mr. Gang Cao | Behavioral Neuroscience | Best Researcher Award

Anhui University of Finance and Economics | China

Gang Cao (Ph.D.) is a Lecturer at the International Business School, Anhui University of Finance and Economics, with academic training in Business Administration and Management Science and Engineering from Shanghai University and Anhui University of Finance and Economics. His research focuses on AI capabilities, entrepreneurship, and innovation, and he has published in leading international journals such as the Journal of Business Research, Management and Organization Review, R&D Management, Plos One, and the International Journal of Conflict Management, as well as in top Chinese journals including Journal of Management Sciences in China and Journal of Economic Management. He has authored and co-authored multiple high-impact studies addressing themes such as entrepreneurial well-being, entrepreneurial failure and reentry, bricolage and disruptive innovation, digital identity change, impression management, and the integration of artificial intelligence with entrepreneurship and business model innovation. His work combines quantitative, qualitative, and computational methodologies, offering both theoretical contributions and practical insights into entrepreneurial behavior and firm evolution. Gang Cao has achieved an h-index of 5, with 11 documents and 102 citations, reflecting his growing academic impact and recognition in the fields of entrepreneurship, innovation management, and digital transformation. Through his interdisciplinary and collaborative research, he continues to advance understanding of the complex dynamics driving entrepreneurial success and organizational performance.

Profiles: Google Scholar

Featured Publications

“Exploring the relationship between entrepreneurial failure and conflict between work and family from the conservation of resources perspective.”

“Entrepreneurial Bricolage and Disruptive Innovation: The Joint Effect of Learning From Failure and Institutional voids.”

“Striking the balance: Configurations of causation and effectuation principles for SME performance.”