Xingyu Zhou | Engineering | Best Researcher Award

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Prof. Dr. Xingyu Zhou | Engineering | Best Researcher Award 

Assistant Professor | Beijing Institute of Technology | China

Dr. Zhou Xingyu, Assistant Professor at the Beijing Institute of Technology, is an accomplished researcher specializing in renewable energy and electric vehicles. He earned his Ph.D. in Vehicle Engineering from Chongqing University in 2020, following a Bachelor’s degree in Mechanical Design, Manufacturing, and Automation from the same institution. Dr. Zhou has extensive professional experience, including his current role as Assistant Professor at the School of Mechanical Engineering and Vehicle Engineering, Beijing Institute of Technology since March 2023, and a postdoctoral fellowship at the same institute from 2020 to 2023, where he contributed to the National Engineering Research Center for Electric Vehicles. His research interests focus on vehicle powertrain optimization, intelligent energy management, stochastic and data-driven modeling, and electric vehicle motion planning for enhanced energy efficiency. He has demonstrated expertise in multi-objective optimization, machine learning applications for powertrain design, and integration of fuel cell and hybrid electric vehicle systems. Dr. Zhou has led and participated in multiple high-impact research projects, including a National Natural Science Foundation of China Youth Project and key provincial and national projects on electric vehicle energy optimization and system integration. He has published 27 Scopus-indexed documents with 448 citations and an h-index of 11, in reputed journals such as Applied Energy, Journal of Power Sources, Journal of Cleaner Production, and IEEE Transactions on Vehicular Technology, serving frequently as corresponding author. His awards and honors include the Best Student Paper Award at the 2018 Italian Conference on Machines and Mechanisms. In addition, he contributes to the academic community as a reviewer for top journals and Guest Editor of Sustainability. Dr. Zhou Xingyu’s strong technical expertise, leadership in research projects, international collaborations, and commitment to sustainable innovation make him a highly deserving candidate for the Best Researcher Award, reflecting both outstanding academic achievements and meaningful contributions to advancing green mobility and energy-efficient transportation solutions globally.

Profiles: Scopus | ORCID

Featured Publications

Sun, C., Zhang, C., Sun, F., & Zhou, X. (2022). Stochastic co-optimization of speed planning and powertrain control with dynamic probabilistic constraints for safe and ecological driving. Applied Energy, 35, 119874.

Zhou, X., Sun, C., Sun, F., & Zhang, C. (2022). Commuting-pattern-oriented optimal sizing of electric vehicle powertrain based on stochastic optimization. Journal of Power Sources, 545, 23178.

Zhou, X., Sun, F., Zhang, C., & Sun, C. (2022). Stochastically predictive co-optimization of speed planning and powertrain controls for electric vehicles driving in random traffic environment safely and efficiently. Journal of Power Sources, 528, 231200.

Zhou, X., Sun, F., Sun, C., & Zhang, C. (2022). Predictive co-optimization of speed planning and powertrain energy management for electric vehicles driving in traffic scenarios: Combining strengths of simultaneous and hierarchical methods. Journal of Power Sources, 523, 230910.

Zhou, X., Sun, F., & Sun, C. (2021). Machine learning aided methods for reducing the dimensionality of the comprehensive energy economy optimization of fuel cell powertrains. Journal of Cleaner Production, 327, 129250.

Subhashis Banerjee | Arts and Humanities | Best Researcher Award | 10097

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Dr. Subhashis Banerjee | Arts and Humanities | Best Researcher Award 

Assistant Professor | Nagaland University | India

Dr. Subhashis Banerjee, born on 20th April 1986, is an Assistant Professor of English at Nagaland University with a distinguished career in teaching, research, and academic leadership. He completed his Ph.D. in English Literature from Tezpur University, Assam, focusing on the travel writings of Swami Vivekananda, and holds an M.A. and B.A. in English from Rabindra Bharati University, along with a B.Ed. from NEHU, Shillong, and a Diploma in Computer Applications. Over the years, he has served as Assistant Professor at Government College Seppa, Rajiv Gandhi University, and Jawaharlal Nehru College, Pasighat, coordinating IGNOU M.A. programs and heading multiple academic initiatives, including IQAC, R&D Cells, language labs, and seminar series. His research interests encompass travel literature, postcolonial studies, comparative American literature, and Northeastern indigenous cultural studies, with a strong focus on cultural, social, and ecological dimensions. Dr. Banerjee possesses advanced research skills in methodology, ICT-enabled teaching, data analysis, and academic writing, supported by numerous national and international professional development programs. He has authored and edited multiple books, including “Charaiveti: Vivekananda’s Dialogue on People, Politics & Space” and “Research Methodology for Academic Research,” and published extensively in SCOPUS-indexed, UGC-CARE listed, and peer-reviewed journals. Recognized for his leadership and scholarly contributions, he has received awards such as the State Rank in Assistant Professor Selection, National Merit Scholarship, and research grants from MAKAIAS and the Department of Higher and Technical Education, Arunachal Pradesh. His work demonstrates a deep commitment to advancing English literature scholarship, mentoring students, organizing national and international seminars, and promoting cross-cultural understanding. With a proven record of academic excellence, research productivity, and societal impact, Dr. Banerjee is highly deserving of recognition, and his continued contributions are poised to further enhance the quality and visibility of humanities research both nationally and internationally.

Profile: Google Scholar

Featured Publications

Banerjee, S. (2020). Charaiveti: Vivekananda’s Dialogue on People, Politics & Space. Lucknow: Book Rivers Press. ISBN 978-93-89914-64-1

Banerjee, S. (2023). Simple English Pedagogy for School Teachers. Mumbai: Phoenix. ISBN 978-93-89914-64-1

Banerjee, S. (2024). Research Methodology for Academic Research. Lucknow: Book Rivers. ISBN 978-93-58423-891

Banerjee, S. (2015). Soncu Maharaj’s Dialogue with Assam: A Brief Analysis of His Travel Writings. REIMRJ, V, 23–28.

Banerjee, S. (2018). American Transcendentalism as the Precursor to Ecocriticism. IJTSRD (Multidisciplinary), 2, 2874–2877.

M M Abdullah Al Mamun Sony | Social Sciences | Best Researcher Award | 10112

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Mr. M M Abdullah Al Mamun Sony | Social Sciences | Best Researcher Award

Research Associate | ChangeMaker Nexus Ltd | Bangladesh

Mr. M.M. Abdullah Al Mamun Sony is an accomplished researcher and academic specializing in sociology, disaster management, gender studies, and social-environmental research. He is currently pursuing a Ph.D. at the University of Debrecen, Hungary, at the Géza Marton Doctoral School of Legal Studies with an outstanding grade of 4.98/5.00, reflecting his strong academic capabilities and commitment to research excellence. Sony holds a Master of Social Science in Sociology from Khulna University, Bangladesh, where he specialized in disaster management, gender policy, and sociological research methods, and a Bachelor of Social Science (Honours) in Sociology, also from Khulna University, demonstrating a solid academic foundation. His professional experience spans several significant roles, including Locally-led Action Research Consultant for the Bangladesh Preparedness Partnership, DOSZ Ambassador of Bangladesh fostering scientific collaboration with Hungary, and research associate and consultant for multiple social science and disaster management projects funded by Khulna University Research Cell, UGC Bangladesh, and international agencies. His research interests encompass social-environmental risk assessment, disaster coping mechanisms, gender-based studies, education quality, and labor market inclusion. Sony has developed strong research skills in quantitative and qualitative methods, including SPSS, NVivo, Atlas.ti, EndNote, and advanced data collection, analysis, and reporting techniques. He has an impressive publication record in Q1 and SSCI-indexed journals such as Social Sciences & Humanities Open, Sustainability, and the International Journal of Disaster Risk Reduction, with 22 citations, 7 documents, and an H-index of 3. Sony has received multiple awards and honors, including the Stipendium Hungaricum PhD Fellowship, Bangladesh Sweden Trust Fund travel grant, Best Leadership Award, Best Youth Icon Award, and recognition for outstanding presentations at international conferences. With his academic excellence, extensive research experience, international collaborations, leadership roles, and community engagement, Mr. M.M. Abdullah Al Mamun Sony demonstrates exceptional potential to contribute significantly to global social science research, making him a highly deserving candidate for recognition and awards in the field.

Profiles: Google Scholar | Scopus | ORCID | LinkedIn | ResearchGate

Featured Publications

  1. Yu, X., Amin, M. B., Olga, P., Rahaman, M. A., & Sony, M. M. A. A. M. (2024). Gender-based emergency response and crisis management knowledge assessment: A cross-sectional study on Chinese tertiary student. International Journal of Disaster Risk Reduction, 112, 104800. [Citations: 18]

  2. Mollah, M. A., Rana, M., Amin, M. B., Sony, M. M. A. A. M., Rahaman, M. A., & Fenyves, V. (2024). Examining the role of AI-augmented HRM for sustainable performance: Key determinants for digital culture and organizational strategy. Sustainability, 16(24), 10843. [Citations: 15]

  3. Roy, T., Chandra, D., Sony, M. M. A. A. M., & Rahman, M. S. (2021). Impact of salinity intrusion on health of coastal people: Reflections from Dacope upazila of Khulna district, Bangladesh. Khulna University Studies, 17(1 & 2), 57-66. [Citations: 14]

  4. Roy, T., Nasreen, M., Hasan, M. K., & Sony, M. M. A. A. M. (2023). Community priorities in disaster risk reduction interventions: A critical perspective from Bangladesh. In Coastal disaster risk management in Bangladesh (pp. 335-355). [Citations: 8]

  5. Hasan, M. K., & Sony, M. M. A. A. M. (2023). Covid-19, social change, and society 5.0. In The Palgrave Handbook of Global Social Change (pp. 1-19). [Citations: 8]

Sarvesh Tanwar | Computer Science | Excellence in Research Award

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Prof. Dr. Sarvesh Tanwar | Computer Science | Excellence in Research Award

Professor | Amity University | India

Dr. Sarvesh Tanwar is an accomplished researcher and academic with a strong background in cryptography, cybersecurity, blockchain, and computer network security. She earned her Ph.D. in Computer Science, where her research focused on securing IoT networks and blockchain-based systems. Over the years, she has gained extensive professional experience as a faculty member, project lead, and mentor for undergraduate and graduate students, contributing to multiple national and international research projects. Her research interests span cybersecurity, public key infrastructure, intrusion detection systems, secure communication protocols, and blockchain applications in digital security. She possesses advanced research skills in cryptographic algorithm design, network security analysis, blockchain architecture, IoT security frameworks, and data-driven cybersecurity solutions. Dr. Tanwar has an impressive record of publications in top-tier journals and conferences, including IEEE, Scopus-indexed journals, and Springer, reflecting her ability to address complex security challenges with innovative approaches. Her contributions have been recognized through multiple awards and honors, including research excellence recognitions, best paper awards, and memberships in prestigious professional organizations such as IEEE and CRSI. She has also served as a resource person, guest editor, and technical program committee member, demonstrating leadership in the academic and research community. With a strong focus on mentoring, global collaboration, and advancing secure computing research, Dr. Tanwar continues to make high-impact contributions to both academia and industry. Her work not only advances theoretical knowledge but also emphasizes practical applications in secure digital systems, demonstrating her commitment to societal and technological advancement. Overall, her educational background, professional achievements, research expertise, and recognized contributions establish her as a leading figure in cybersecurity and blockchain research, making her highly deserving of recognition and awards in the field.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Tanwar, S., & Bojarajulu, B. (2023). Intelligent IoT-BOTNET attack detection model with convolutional neural network. Computers, Materials & Continua, 70(2), 2077–2093.Citations: 44

  2. Tanwar, S., Choudhary, V., Choudhury, T., & Kotecha, K. (2024). Towards secure IoT networks: A comprehensive study of metaheuristic algorithms in conjunction with CNN using a self-generated dataset. Computational Intelligence and Neuroscience, 2024, Article ID 11107349.Citations: 11

  3. Tanwar, S., & Kumar, K. (2024). Deep-learning-based cryptanalysis through topic modeling. Engineering, Technology & Applied Science Research, 14(1), 12524–12529.Citations: 4

  4. Tanwar, S., & Kumar, K. (2024). MAN-C: A masked autoencoder neural cryptography based encryption scheme for CT scan images. Engineering, Technology & Applied Science Research, 14(1), 12524–12529.Citations: 4

  5. Tanwar, S., & Kumar, K. (2024). Generation and evaluation of datasets for anomaly-based intrusion detection systems in IoT environments. Engineering, Technology & Applied Science Research, 14(1), 12524–12529.Citations: 4

Mr. MD Shadman Soumik | Computer Science | Best Researcher Award

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Mr. MD Shadman Soumik | Computer Science | Best Researcher Award

Graduate Student | Washington University of Science & Technology | United States

MD Shadman Soumik is a dedicated IT Support and Data Security professional and researcher with extensive expertise in cybersecurity, data analytics, cloud computing, and enterprise IT systems, combining practical experience with innovative research contributions. He earned his Master of Science in Information Technology from Washington University of Science and Technology, Virginia (2025) and a Bachelor of Science in Electrical and Electronic Engineering from North South University, Bangladesh (2017), establishing a strong academic foundation for both technical and analytical proficiency. Over his career, he has worked with organizations including Reliable Home Care Services Corp, Frontier Semiconductor Bangladesh Ltd, and Poran Agro Products Ltd, where he provided comprehensive IT support, implemented cybersecurity protocols, conducted security audits, managed secure data integration, and optimized IT operations to ensure operational efficiency and data protection. His research interests encompass artificial intelligence applications in cybersecurity, network intrusion detection, secure and usable system design, early disease diagnosis using healthcare data, and AI-based financial market prediction. Soumik’s research skills include machine learning, neural networks, cybersecurity operations, database management, cloud computing, data analysis, technical writing, and project management, allowing him to bridge applied IT work and academic research effectively. He has contributed to high-impact publications in journals and conferences such as IEEE ICDSIS, International Journal of Computer Applications (IJCA), International Journal of Scientific Research and Applications (IJSRA), and International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), and he actively participates in professional organizations including the International Society for Data Science and Analytics (USA) and the Institute of Engineers, Bangladesh. His achievements have been recognized through research awards and professional honors that highlight his contributions to cybersecurity, IT management, and applied analytics. In conclusion, MD Shadman Soumik exemplifies a researcher and professional whose combined expertise, leadership, publications, and dedication to innovation make him highly deserving of recognition, with significant potential to advance IT security, artificial intelligence applications, and data analytics on a global scale.

Profile: LinkedIn

Featured Publications

  1. Soumik, M. S., Mahmud, M. R., Sami, S. I., & Tanim, M. K. B. S. (2025). Designing secure and usable systems: The intersection of human-computer interaction, cybersecurity, and machine learning. International Journal of Computer Applications (IJCA).

  2. Tarafdar, R., Soumik, M. S., & Venkateswaranaidu, K. (2025). Applying artificial intelligence for enhanced precision in early disease diagnosis from healthcare dataset analytics. IEEE International Conference on Data Science and Information Systems (ICDSIS).

  3. Soumik, M. S. (2024). A comparative analysis of network intrusion detection (NID) using artificial intelligence techniques for increased network security. International Journal of Scientific Research and Applications (IJSRA).

  4. Tanim, M. K. B. S., Parash, M. H., Soumik, M. S., & Shakib, M. (2024). Enhanced network anomaly detection using convolutional neural networks in cybersecurity operations. International Journal of Computer Applications (IJCA).

  5. Soumik, M. S. (2024). Prediction of the financial stock market: A comprehensive analysis of artificial intelligence. International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), 4(2).

Naghi Rostami | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Naghi Rostami | Engineering | Best Researcher Award 

Faculty of Electrical and Computer Engineering | University of Tabriz | Iran

Dr. Naghi Rostami is an accomplished academic and researcher in electrical power engineering, currently serving as Associate Professor and Head of the Electric Power Engineering Department at the University of Tabriz, Iran, where he has held leadership responsibilities from 2018 to 2024. He completed his B.Sc. in Electrical Engineering at K. N. Toosi University of Technology in 2006, his M.Sc. at the University of Tehran in 2008, and earned his Ph.D. from the University of Tabriz in 2013. He also gained international exposure through a research opportunity at Lappeenranta University of Technology, Finland, in 2012 under the supervision of Prof. Juha Pyrhönen. His primary research interests include permanent magnet machine design, particularly axial flux and radial flux configurations, hybrid electric vehicle energy management, modeling and optimization of electrical machines, and the integration of renewable energy systems with electric vehicles and storage technologies. Dr. Rostami’s research skills span analytical and numerical design methods, genetic algorithms, particle swarm optimization, and advanced co-simulation approaches, which he has applied to the design and performance improvement of permanent magnet machines and energy systems. He has an impressive record of publications in reputable journals such as IEEE Transactions on Magnetics, IET Electric Power Applications, Sustainable Cities and Society, and COMPEL, with many works indexed in Scopus and IEEE Xplore. His Google Scholar profile records more than 1,500 citations with an H-index of 19, highlighting the international recognition of his work. While his CV does not list specific awards and honors, his achievements in leadership, international collaborations, and sustained scholarly contributions stand as testaments to his professional excellence. In conclusion, Dr. Rostami is a dedicated scholar whose expertise, impactful publications, and leadership in academia and research make him a strong candidate for recognition through distinguished awards and honors in the field of electrical power engineering.

Profiles: Google Scholar | LinkedIn | ResearchGate

Featured Publications

  1. Jalilzadeh, T., Rostami, N., Babaei, E., & Maalandish, M. (2018). Nonisolated topology for high step-up DC–DC converters. IEEE Journal of Emerging and Selected Topics in Power Electronics, 11(1), 137–150.(Cited 137 times)

  2. Rostami, N., Feyzi, M. R., Pyrhonen, J., Parviainen, A., & Niemela, M. (2012). Lumped-parameter thermal model for axial flux permanent magnet machines. IEEE Transactions on Magnetics, 49(3), 1178–1184.(Cited 136 times)

  3. Zeynali, S., Rostami, N., Ahmadian, A., & Elkamel, A. (2020). Two-stage stochastic home energy management strategy considering electric vehicle and battery energy storage system: An ANN-based scenario generation methodology. Sustainable Energy Technologies and Assessments, 39, 100722.(Cited 104 times)

  4. Marzang, V., Hosseini, S. H., Rostami, N., Alavi, P., & Mohseni, P. (2020). A high step-up nonisolated DC–DC converter with flexible voltage gain. IEEE Transactions on Power Electronics, 35(10), 10489–10500.(Cited 96 times)

  5. Zeynali, S., Rostami, N., & Feyzi, M. R. (2020). Multi-objective optimal short-term planning of renewable distributed generations and capacitor banks in power system considering uncertainties. International Journal of Electrical Power & Energy Systems, 119, 105885.(Cited 93 times)

Quan Zhou | Energy | Best Researcher Award

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Prof. Quan Zhou | Energy | Best Researcher Award

Full Professor | Hunan University | China

Prof. Quan Zhou is a leading academic and Full Professor at Hunan University, China, with a strong background in power systems, communication technologies, and cyber-physical system resilience. He obtained his Ph.D. in Electrical Engineering from the Illinois Institute of Technology in 2019, where his research focused on resilient and distributed control strategies for hybrid AC/DC microgrids, laying the foundation for his pioneering contributions to next-generation smart energy systems. His professional journey includes extensive international research experience and collaborations with globally recognized scholars, resulting in more than 70 publications in top-tier journals such as IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid, and IEEE Communications Surveys and Tutorials, collectively earning him over 2,800 citations, 2,469 citing documents, and an h-index of 31. His current research interests center on satellite Internet applications in modern power systems, integrated satellite-terrestrial communication frameworks, secure terminal access technologies, and coordinated communication-control mechanisms for resilient and sustainable grids. Prof. Zhou possesses advanced research skills in distributed control, cyber-security for energy systems, satellite communication design, and predictive modeling for energy management. In recognition of his scholarly excellence, he has been invited to deliver lectures at Stanford University, the Chinese Academy of Engineering, and several international conferences, while also serving as Associate Editor for IEEE Transactions on Smart Grid and Special Issue Editor for leading journals in power and energy systems. His professional honors include multiple Best Reviewer Awards from IEEE journals and prestigious fellowships such as the Paul D. McCoy Family Fellowship. A Senior Member of IEEE and an active contributor to task forces and editorial boards, Prof. Zhou combines technical innovation with leadership, mentoring, and community service. With his outstanding academic contributions, international recognition, and vision for advancing secure, intelligent, and sustainable energy infrastructures, he exemplifies the qualities of a best researcher deserving of global recognition.

Profiles: Google Scholar | Scopus

Featured Publications

Zhang, Z., Ding, T., Zhou, Q., Sun, Y., Qu, M., Zeng, Z., Ju, Y., Li, L., Wang, K., & Chi, F. (2021). A review of technologies and applications on versatile energy storage systems. Renewable and Sustainable Energy Reviews, 148, 111263.

Zhou, Q., Shahidehpour, M., Paaso, A., Bahramirad, S., Alabdulwahab, A., & Abusorrah, A. M. (2020). Distributed control and communication strategies in networked microgrids. IEEE Communications Surveys & Tutorials, 22(4), 2586–2633.

Zhou, Q., Shahidehpour, M., Alabdulwahab, A., & Abusorrah, A. M. (2020). A cyber-attack resilient distributed control strategy in islanded microgrids. IEEE Transactions on Smart Grid, 11(5), 3690–3701.

Shao, C., Feng, C., Shahidehpour, M., Zhou, Q., Wang, X., & Wang, X. (2021). Optimal stochastic operation of integrated electric power and renewable energy with vehicle-based hydrogen energy system. IEEE Transactions on Power Systems, 36(5), 4310–4321.

Zhou, Q., Tian, Z., Shahidehpour, M., Liu, X., Alabdulwahab, A., & Abusorrah, A. M. (2019). Optimal consensus-based distributed control strategy for coordinated operation of networked microgrids. IEEE Transactions on Power Systems, 35(3), 2452–2462.

 

Kevin Patel | Engineering | Best Industrial Research Award

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Mr. Kevin Patel | Engineering | Best Industrial Research Award

Quality Engineer – Lead | Futaba North America Engineering & Marketing Corp | United States

Kevin Patel is a research-driven quality innovation leader with over a decade of expertise in advanced automotive systems, high-reliability electronics, and cyber-physical manufacturing ecosystems, with a strong focus on AI-enhanced diagnostics, robotic automation, IoT-integrated quality informatics, and adaptive process control for next-generation industrial engineering. He earned his Bachelor of Engineering in Mechanical Engineering from Gujarat Technological University in 2017, followed by a Master of Engineering in Mechanical Engineering from the Illinois Institute of Technology, Chicago, in 2019, where he strengthened his foundations in design, manufacturing, and applied research. Professionally, he has contributed significantly across leading organizations including Futaba North America, Electronic Interconnect, Machined Products Co., and Hindustan Door Oliver, where he led initiatives in AI-driven defect detection, predictive scrap reduction, supplier quality systems, lean manufacturing, and digital process optimization. His research interests lie in the integration of artificial intelligence, IoT, and blockchain for predictive quality, defect prevention, and smart manufacturing ecosystems, with publications in reputed and indexed platforms covering topics such as self-healing production lines, generative quality networks, PCB optimization, and autonomous supplier ecosystems. He possesses strong research and technical skills including CAD and CAE tools (AutoCAD, SolidWorks, CATIA, Abaqus, Ansys), manufacturing quality tools (SPC, CAPA, DoE, DMAIC, Kaizen, GD&T), and advanced industry standards (ISO 9001, IATF 16949, AS9100). His certifications include IATF 16949/ISO 9001 Lead Auditor, Lean Six Sigma Green Belt, SolidWorks CSWA, and Autodesk AutoCAD Professional, reflecting his commitment to continuous professional growth. Kevin has also been recognized for his ability to bridge academic research with industrial application, authoring multiple Scopus and IEEE-indexed papers that demonstrate global relevance. With his multidisciplinary expertise, impactful publications, leadership roles, and future potential in advancing intelligent manufacturing, Kevin Patel stands out as an outstanding candidate for recognition, embodying both academic rigor and industrial innovation.

Profile: ORCID

Featured Publications

  1. Patel, K. (2025). AI-driven defect detection in PCB manufacturing: A computer vision approach using convolutional neural networks. European Journal of Advances in Engineering and Technology.

  2. Patel, K. (2025, July 29). AI+IoT+Blockchain triad for smart traceability in the automotive industry. International Journal of Research and Scientific Innovation.

  3. Patel, K. (2025, June 1). Agentic AI for self-healing production lines: Autonomous root cause analysis & correction. Journal of Information Systems Engineering and Management.

  4. Patel, K. (2025, June 1). Process optimization of multilayer PCB fabrication using statistical design of experiments (DoE). Journal of Information Systems Engineering and Management.

  5. Patel, K. (2025, April 12). Generative quality networks (GQNs): Leveraging GenAI to predict unprecedented defects in automotive manufacturing. International Journal of Science and Research (IJSR).

Homa Rasoolijazi | Medicine and Dentistry | Fast Cited Article Award

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Prof. Homa Rasoolijazi | Medicine and Dentistry | Fast Cited Article Award

Researcher | Iran University of Medical Sciences | Iran

Dr. Homa Rasoolijazi, PhD, is a distinguished Professor at the Iran University of Medical Sciences, specializing in anatomical sciences and neuroscience with a strong focus on neurodegenerative diseases, neuroprotection, and aging research. She earned her PhD in Anatomical Sciences from Iran University of Medical Sciences (2007) following her MSc in Anatomy from Isfahan University of Medical Sciences (1995) and her BSc in Physiotherapy from Tehran University of Medical Sciences (1987). She also completed international research training as a pre-doctoral research associate at Linköpings University, Sweden, where she expanded her expertise in biomedicine and neuroanatomical methods. Professionally, she has served for decades as an educator, researcher, and mentor, teaching anatomy, neuroanatomy, and embryology to medical, PhD, and allied health students while also supervising research projects and contributing to international scientific forums. Her research interests lie in Alzheimer’s disease, Parkinson’s disease, cerebellar ataxia, neuroprotection through antioxidants, and the cellular mechanisms of brain aging. Her diverse research skills include advanced neuroscience methods such as HRP tracing, stereotaxic surgery, histological and immunohistochemical techniques, molecular biology methods including PCR and electrophoresis, tissue culture, and electron microscopy. She has authored and co-authored numerous research papers in high-impact journals indexed in Scopus, PubMed, and IEEE, as well as several academic books on anatomy and neuroanatomy in Persian, which are widely used in medical education. Her contributions have been recognized through active participation in national and international congresses, scientific editorial roles, and collaborative projects addressing key issues in neurodegeneration. She has further enriched the academic community by training the next generation of researchers and clinicians, while also engaging in community-oriented educational initiatives. In conclusion, Dr. Rasoolijazi’s outstanding academic background, long-standing professional service, significant publication record, and dedication to advancing neuroscience research and education position her as a highly accomplished scholar whose work continues to impact science, medicine, and society.

Profiles: Google Scholar | ORCID

Featured Publications

  1. Ghorbani, Z., Sani, M., Aghighi, Z., Moghaddam, M. H., Eskandari, N., Mohammadbagheri, E., Fathi, M., Shenasandeh, Z., Fotouhi, F., Abdollahifar, M. A., Salehi, M., Bayat, A. H., Meftahi, G. H., Aliaghaei, A., & Rasoolijazi, H. (2024). 3-acetylpyridine induced behavioral dysfunction and neuronal loss in the striatum and hippocampus of adult male rats. Annals of Anatomy – Anatomischer Anzeiger, 252, Article 152185.

  2. Eslami Farsani, M., Razavi, S., Rasoolijazi, H., Esfandiary, E., Seyedebrahimi, R., & Ababzadeh, S. (2023). Neuroprotective effects of rosemary extract on white matter of prefrontal cortex in old rats. Iranian Journal of Basic Medical Sciences.

  3. Sabaei, M., Rahimian, S., Ketabforoush, A. H. M. E., Rasoolijazi, H., Zamani, B., Hajiakhoundi, F., Soleimani, M., Shahidi, G., & Faramarzi, M. (2023). Salivary levels of disease-related biomarkers in the early stages of Parkinson’s and Alzheimer’s disease: A cross-sectional study. IBRO Neuroscience Reports, 14, 285-292.

  4. Bavi, S., Navazesh, A., Rasoolijazi, H., Zavvari, F., Soleimani, M., & Karimzadeh, F. (2023). Modulatory effect of exercise on reactive astrocytes in the somatosensory cortex of epileptic rats. Sport Sciences for Health, 1-8.

  5. Navazesh, A., Rasoolijazi, H., Rahmani, G., Bavi, S., Vahabzadeh, G., Soleimani, M., & Karimzadeh, F. (2023). Modulatory effect of neurotrophic factors on the TRPV1 expression: Possible mechanisms involved in the antiepileptic effect of exercise. Archives of Neuroscience, 10(1).

Nimra Mubeen | Agricultural and Biological Sciences | Pioneer Researcher Award

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Ms. Nimra Mubeen | Agricultural and Biological Sciences | Pioneer Researcher Award

PhD Student | University of Veterinary and Animals Sciences | Pakistan

Nimra Mubeen is an emerging researcher in the field of Fisheries and Aquaculture, dedicated to advancing sustainable aquatic health through innovative scientific contributions. She is currently pursuing her Ph.D. (2021–2025) in Fisheries and Aquaculture at the University of Veterinary and Animal Sciences (UVAS), Lahore, focusing on the development of feed-based vaccines against Aeromonas spp. in culturable carps, after completing her M.Phil. (2021) and M.Sc. (2018) in the same discipline, both with distinction. She has served as a research associate on a Pakistan Science Foundation-funded project on the isolation and molecular characterization of fish pathogens and vaccine development, which allowed her to gain practical expertise and contribute to applied solutions for the aquaculture industry. Her research interests include fish immunology, aquatic disease diagnostics, vaccine development, aquaculture sustainability, molecular biology, and innovative feed formulations. She has strong technical skills in bacterial vaccine preparation, molecular identification of pathogens, immunological assays, microbial culturing, and nutritional interventions in aquaculture systems. Nimra has co-authored six peer-reviewed publications in Scopus and ISI-indexed journals such as Microorganisms and Aquaculture Research, a book chapter with CABI, and multiple abstracts in conference proceedings. She has also presented her work at national and international conferences in Pakistan and Turkey, reflecting her global scientific engagement. Her academic achievements include top positions in model competitions, poster presentation awards, and certifications from Elsevier Researcher Academy, Wiley, and international aquaculture societies. With over 35 citations and an h-index of 3, her growing research footprint reflects her academic impact. She is actively involved in organizing scientific seminars, workshops, and World Fisheries Day activities, showcasing her leadership and community engagement. In conclusion, Nimra Mubeen’s blend of academic excellence, innovative research, technical expertise, and international collaboration makes her a promising young scientist and a deserving candidate for recognition through the Pioneer Researcher Award.

Profile: ORCID

Featured Publications

  1. Mubeen, N., Ashraf, M., Ahmad, S., Aslam, M. S., & Kalhoro, H. (2022). Growth performance and immune response of Labeo rohita fed with feed-based vaccine against Aeromonas hydrophila. Microorganisms, 10(9), 1852. [Citations: 15]

  2. Mubeen, N., Ashraf, M., Ahmad, S., Kalhoro, H., & Jabeen, F. (2022). Molecular identification and pathogenicity of Aeromonas hydrophila in major carps. Aquaculture Research, 53(13), 4761–4772. [Citations: 10]

  3. Mubeen, N., Ashraf, M., Ahmad, S., Kalhoro, H., & Memon, A. (2021). Vaccine development approaches against bacterial pathogens in aquaculture. Pakistan Journal of Zoology, 53(5), 1767–1774. [Citations: 5]

  4. Mubeen, N., Ashraf, M., & Ahmad, S. (2021). Application of immunostimulants in aquaculture health management: A review. Turkish Journal of Fisheries and Aquatic Sciences, 21(9), 447–456. [Citations: 3]

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