Ashutosh K Giri | Engineering | Best Researcher Award

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Dr. Ashutosh K Giri | Engineering | Best Researcher Award

Government Engineering College Bharuch | India

Dr. Ashutosh K. Giri is an Assistant Professor in the Department of Electrical Engineering at Government Engineering College, Bharuch, Gujarat, India, with over 20 years of teaching and research experience. He earned his Ph.D. from Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, focusing on control algorithms for power quality issues in wind-based distributed power generation systems. He also holds an M.E. in Electrical Engineering from L.D. College of Engineering, Gujarat University, and a B.Tech in Electrical Engineering from G.B. Pant University of Agriculture and Technology, Pantnagar. Dr. Giri’s research interests include renewable energy power converters, microgrid topology, operation and control, power quality enhancement, electric vehicle technologies, and adaptive control algorithms. He has published extensively in leading journals including IEEE, IET, Springer, Wiley, Elsevier, and Taylor & Francis, authored and edited multiple international books, and contributed to state- and national-level funded research projects. His work has been cited 478 times across 234 documents, with an h-index of 14, reflecting his significant impact in the field. Recognized among the top 2% of scientists globally, Dr. Giri continues to advance research and innovation in distributed generation systems and renewable energy, mentoring students and contributing to the scientific community through high-quality research and academic leadership.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Joshi, D., Deb, D., & Giri, A. K. (2025). “Metaheuristic adaptive input output feedback linearization control for BLDC motor drive” in IEEE Transactions on Consumer Electronics.

Kanojia, S. S., Suthar, B. N., & Giri, A. K. (2025). “Hybrid optimization approach for optimal location of electric vehicle charging station (EVCS) in distribution network considering voltage stability” in Smart Grids and Sustainable Energy.

Kundu, S., Giri, A. K., & Kadiyan, S. (2025). “An adaptive mixed-step size normalized least means fourth control approach for stand-alone power generation system considering dynamic conditions” in IEEE Journal of Emerging and Selected Topics in Power Electronics.

Bhatt, K. A., Bhalja, B. R., & Giri, A. K. (2024). “Controlled single-phase auto-reclosing technique for shunt reactor compensated lines in electrical energy systems transmission lines” in International Journal of Ambient Energy.

Parmar, D. B., & Giri, A. K. (2024). “Integration of field-oriented and steady-state linear Kalman filter control in PMSG-based grid-connected system for improving voltage control and power balance operation” in Electrical Engineering.

Modafar Ati | Machine Learning and AI Applications | Best Researcher Award

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Assoc. Prof. Dr. Modafar Ati | Machine Learning and AI Applications | Best Researcher Award

Abu Dhabi University | United Arab Emirates

Assoc. Prof. Dr. Modafar Ati is an accomplished academic and researcher in Computer Science and Information Technology with extensive experience in teaching, curriculum development, and leadership. He holds a BSc in Electrical & Communication Engineering and a PhD in Electrical & Computing Engineering from Newcastle upon Tyne, UK. Dr. Ati has over three decades of experience in both academia and industry, serving in senior roles including Associate Professor at Abu Dhabi University, Acting Dean at Sohar University, and Assistant Dean at multiple institutions in Oman. His professional expertise spans software development, systems integration, networking, ICT, project management, Service-Oriented Architecture (SOA), Artificial Intelligence, Big Data, Cybersecurity, and eHealth smart systems. He has published numerous research articles focusing on AI-driven Chronic Disease Management and smart healthcare systems and has led research groups in eGovernment and ICT. Dr. Ati has received multiple grants and awards, including the Chancellor Innovation Award, and serves on editorial boards and as a senior reviewer for international journals and conferences. His teaching portfolio covers programming, network security, project management, human-computer interaction, and mobile application development. Dr. Ati’s contributions to education, research, and innovation reflect a strong commitment to advancing technology-driven solutions in healthcare, smart cities, and digital systems.

Profile : Google Scholar

Featured Publications

Hussein, A. S., Omar, W. M., Li, X., & Ati, M. (2012). “Efficient chronic disease diagnosis prediction and recommendation system” in 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, 209–214.

Mohamed, O., Kewalramani, M., Ati, M., & Al Hawat, W. (2021). “Application of ANN for prediction of chloride penetration resistance and concrete compressive strength” in Materialia, 17, 101123.

Mohamed, O. A., Ati, M., & Najm, O. F. (2017). “Predicting compressive strength of sustainable self-consolidating concrete using random forest” in Key Engineering Materials, 744, 141–145.

Hussein, A. S., Omar, W. M., Li, X., & Ati, M. (2012). “Accurate and reliable recommender system for chronic disease diagnosis” in Global Health, 3(2), 113–118.

Ati, M., Kabir, K., Abdullahi, H., & Ahmed, M. (2018). “Augmented reality enhanced computer aided learning for young children” in 2018 IEEE Symposium on Computer Applications & Industrial Electronics.

David Almorza | Statistical Analysis | Best Researcher Award

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Dr. David Almorza | Statistical Analysis | Best Researcher Award

University of Cádiz | Spain

Dr. David Almorza Gomar is a Profesor Titular in the Department of Statistics and Operational Research at the University of Cádiz, Spain. He earned his Ph.D. in Mathematics from the University of Cádiz in 1998, with a doctoral thesis on the characterization of the Pólya distribution. Over his academic career, he has authored more than 85 publications. According to Google Scholar, his work has been cited 379 times, and he holds an h-index of 11. His early research focused on environmental statistics, probability distributions and genetics, while more recently he has explored applied statistics in education, well‑being (happiness), and sports, particularly university football. Among his notable contributions is a 2022 study evaluating an experience of “academic happiness” through football, published in the International Journal of Environmental Research and Public Health, showing how rule changes promoted fair play and reduced disciplinary sanctions. He has also applied multivariate statistical techniques to maritime safety in a recent work on the Paris MoU inspections. For his scientific achievements, he has been recognized by the Genetic Society of Argentina with a medal. In sum, Dr. Almorza is a versatile statistician whose interdisciplinary research spans mathematics, genetics, education, and sport, contributing both theoretical insight and practical societal impact.

Profiles : Scopus | Orcid

Featured Publications

Bazco Nogueras, E., Sanagustín-Fons, V., & Almorza-Gomar, D. (2025). “Job stress in industrial company: The impact of gender, age and seniority on tension levels” in Anduli.

Almorza Salas, D. (2025). “La imprenta en Cádiz: 1960, 1961 y 1962” in Gaditana-Logía.

Prieto, J. M., Almorza, D., Amor-Esteban, V., & Endrina, N. (2025). “Review of ship risk analyses through deficiencies found in port state inspections” in Journal of Marine Science and Engineering.

Prieto, J. M., Almorza, D., Amor-Esteban, V., Muñoz-Perez, J. J., & Jigena-Antelo, B. (2025). “Identification of risk patterns by type of ship through correspondence analysis of port state control: A differentiated approach to inspection to enhance maritime safety and pollution prevention” in Oceans.

Almorza, D., Prieto, J. M., Amor-Esteban, V., & Piniella, F. (2024). “Port state control inspections under the Paris Memorandum of Understanding and their contribution to maritime safety: Additional risk classifications and indicators using multivariate techniques” in Journal of Marine Science and Engineering.

Hisao Nakai | Public Health Analytics | Best Researcher Award

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Dr. Hisao Nakai | Public Health Analytics | Best Researcher Award

Faculty of Nursing, University of Kochi | Japan

Dr. Hisao Nakai is an Associate Professor in the Faculty of Nursing at the University of Kochi, specializing in disaster nursing, disaster management, and GIS‑based risk assessment. Holding a Ph.D. in Health Sciences from Kanazawa University, he has published 28 documents, which have been cited 107 times by 96 documents, resulting in an h-index of 7. His research centers on vulnerable populations—such as medically dependent children, older adults, and people with mental illness—and uses participatory ICT/IoT systems like K‑DiPS, which he helped develop, to support personalized disaster readiness, evacuation planning, power backup, and business continuity. He has applied GIS to simulate evacuation routes (e.g., for tsunamis) and assess environmental risks, especially for those with special needs. Academically, he has held roles at Kanazawa Medical University and Kochi University and has received awards including a Japanese Public Health Society poster prize. He has also led national surveys on disaster information sharing among caregivers of children requiring medical care. Through his interdisciplinary, community‑oriented work, Dr. Nakai is advancing equitable disaster resilience for people often overlooked in traditional emergency planning, combining practical applications with innovative research in disaster preparedness and nursing science.

Profile : Scopus

Featured Publications

Nakai, H., Oe, M., Nagayama, Y., Tokuoka, M., Yamaguchi, C., & Tanaka, K. (2025). “A retrospective study on evacuation and long-term displacement among home-visit psychiatric nursing service users in the aftermath of the 2024 Noto Peninsula Earthquake” in International Journal of Environmental Research and Public Health.

Oe, S., Nakai, H., Nagayama, Y., Oe, M., & Yamaguchi, C. (2025). “Factors associated with worsening post-earthquake psychiatric symptoms in patients receiving psychiatric visiting nurse services during the 2024 Noto Peninsula Earthquake: A retrospective study” in Psychiatry International.

Nitta, Y., Hashimoto, R., Shimizu, Y., Nakai, Y., & Nakai, H. (2025). “Adherence to outpatient care among individuals with pre‐existing psychiatric disorders following the 2024 Noto Peninsula Earthquake: A retrospective study” in Psychiatry and Clinical Neurosciences Reports.

Nakai, H., Oe, M., & Nagayama, Y. (2024). “Factors related to evacuation intention when a Level 4 evacuation order was issued among people with mental health illnesses using group homes in Japan: A cross-sectional study” in Medicine.

Nakai, H., Ishii, K., & Sagino, T. (2024). “Turnover intention among staff who support older adults living alone in Japan: A cross-sectional study” in Social Sciences.

Hongyan Jin | Bioinformatics | Young Researcher Award

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Ms. Hongyan Jin | Bioinformatics | Young Researcher Award

Tarim University | China

Ms. Hongyan Jin dedicated and accomplished biologist with a strong foundation in plant molecular biology, bioinformatics, and physiological research. Holds a Master’s degree in Biology from Tarim University, with a cumulative GPA of 87.64, earning recognition as an Outstanding Graduate and recipient of multiple university-level scholarships. Academic training includes advanced courses in plant physiology, molecular and cell biology, biochemistry, bioinformatics, and biostatistics. Experienced in genome-wide identification and analysis of gene families, particularly the SnRK2 gene family in Populus euphratica, and proficient in total RNA extraction and qRT-PCR techniques. Research focuses on plant responses to abiotic stresses, integrating computational and experimental approaches to explore stress-responsive gene functions. Published research in the International Journal of Molecular Sciences, highlighting expertise in genome-wide bioinformatics analysis and molecular plant biology. Fluent in English (CET-6) and holds a Mandarin proficiency certificate, demonstrating strong communication skills. Recognized for academic excellence, diligence, and integrity, with a proactive and detail-oriented approach to research and professional responsibilities. Committed to continuous learning and tackling scientific challenges with rigor and persistence. Possesses a clear understanding of professional knowledge, strong integrative abilities, and a collaborative mindset, making significant contributions to plant biology and stress response research.

Profile : Scopus

Featured Publications

(2025). The identification and characterization of the PeGRF gene family in Populus euphratica Oliv. heteromorphic leaves provide a theoretical basis for the functional study of PeGRF9. International Journal of Molecular Sciences.

(2025). Genome-Wide Identification of the SnRK2 Gene Family and Its Response to Abiotic Stress in Populus euphratica

(2024).Comparative Genomics Analysis of the Populus Epidermal Pattern Factor (EPF) Family Revealed Their Regulatory Effects in Populus euphratica Stomatal Development

Abdelouahad Achmamad | Engineering | Best Researcher Award

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Dr. Abdelouahad Achmamad | Engineering | Best Researcher Award

Universite De Mans | France

Dr. Abde Louahad Achmamad is an embedded software engineer and researcher specializing in intelligent systems, AI algorithms, biomedical signal processing, and advanced embedded technologies for electrical, biomedical, and IoT applications. He holds a PhD in Electrical Engineering, complemented by master’s degrees in biomedical engineering and electrical/electronic engineering, supported by earlier qualifications in electromechanics and electronics. His professional experience spans biomedical R&D, embedded system design, AI-based medical diagnostics, MRI segmentation, IoT health monitoring, wearable sensor development, and security applications for STM32 microcontrollers. He has worked with leading institutions and companies across France and Morocco, including STMicroelectronics, Akkodis, Diabtech, Université de Rouen, ENSIAS, and multiple research laboratories. His scientific output includes 102 citations by 95 documents, 16 publications, and an h-index of 6, reflecting contributions in EMG-based diagnostics, phonoangiography, neuromuscular disorder detection, sensor fusion, and few-shot learning for medical imaging. He has also reviewed more than 200 scientific manuscripts for major journals from Springer, Elsevier, and MDPI, demonstrating recognized expertise in signal processing and embedded systems. His research interests include embedded AI, biomedical instrumentation, wearable sensors, IoT-based healthcare, security-focused embedded design, and intelligent diagnostic systems. Dr. Achmamad remains dedicated to advancing high-impact engineering solutions that enhance healthcare, sensing technologies, and intelligent embedded platforms.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Achmamad, A., & Jbari, A. (2020). A comparative study of wavelet families for electromyography signal classification based on discrete wavelet transform. Bulletin of Electrical Engineering and Informatics.

Achmamad, A., Belkhou, A., & Jbari, A. (2020). Fast automatic detection of amyotrophic lateral sclerosis disease based on Euclidean distance metric. In 2020 International Conference on Electrical and Information Technologies .

Belkhou, A., Achmamad, A., & Jbari, A. (2019). Classification and diagnosis of myopathy EMG signals using the continuous wavelet transform. In 2019 Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science .

Belkhou, A., Achmamad, A., & Jbari, A. (2019). Myopathy detection and classification based on the continuous wavelet transform. Journal of Communications Software and Systems.

Abdelouahad, A., Belkhou, A., Jbari, A., & Bellarbi, L. (2018). Time and frequency parameters of sEMG signal–force relationship. In 2018 International Conference on Optimization and Applications .

Federica Ciminelli | Healthcare Data Analysis | Women Researcher Award

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Dr. Federica Ciminelli | Healthcare Data Analysis | Women Researcher Award

Ospedale sacro cuore don Calabria | Italy

Dr. Federica Ciminelli is an Italian physician specialized in Infectious and Tropical Diseases, holding a postgraduate degree from the Second University of Naples after completing her medical training with distinction at the University of Bologna. She has worked extensively in primary care, infectious diseases, global health, and migrant health, serving in roles such as USCA physician, medical coordinator for migrant reception programs, and clinician in continuity-of-care services across Tuscany and Veneto. Her international experience includes Erasmus-based clinical rotations in Lisbon and a clinical research internship at St. Kizito Hospital in Uganda, where she contributed to data collection for her thesis on community-acquired pneumonia in low-resource settings. Her academic output includes 18 citations, 18 documents, 4 indexed documents, and an h-index of 2. She has collaborated with global health institutions, participated in congress organization on conflicts of interest in medicine, and engaged in long-term volunteer work with homeless communities and survivors of trafficking. Her research interests span infectious diseases, global health, health inequities, migrant access to care, and community medicine. She has received top-level academic evaluations in both her medical degree and specialization. Dr. Ciminelli remains committed to evidence-based medicine, equitable healthcare, and international collaboration.

Profile : Scopus

Featured Publications

Effectiveness of dihydroartemisinin-piperaquine for treating Plasmodium falciparum malaria from sub-Saharan Africa: a retrospective study, 2025

Prognostic Value of Creatinine Levels at Admission on Disease Progression and Mortality in Patients with COVID-19—An Observational Retrospective Study, 2023

Saralah Devi Mariamdaran Chethiyar | Smarter Analytics With Ai | Best Researcher Award

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Assoc. Prof. Dr. Saralah Devi Mariamdaran Chethiyar | Smarter Analytics With Ai | Best Researcher Award

Universiti Utara Malaysia | Malaysia

Prof. Madya Dr. Saralah Devi A/P Mariamdaran is an Associate Professor at the School of Applied Psychology, Social Work, and Policy, Universiti Utara Malaysia, specializing in counselling, psychology, and correctional science. She holds a Ph.D. in Correctional Counselling from Universiti Utara Malaysia, a Master’s in Counselling from Universiti Malaya, and a Bachelor’s degree with Honours in Industrial and Organisational Psychology from Universiti Malaysia Sabah. Her academic and professional experience spans counselling for children, adolescents, women, and prison inmates, with a focus on social psychology, violence, aggression, and psychotherapy. Dr. Saralah Devi has an extensive publication record in both national and international journals and has presented at numerous conferences, earning recognition for innovative teaching, research, and community engagement. She has received multiple awards including Best Innovative Research, Best Conference Presenter, and accolades from governmental and educational institutions for her contributions to education, research, and social development. Actively involved in professional associations such as PERKAMA and APECA, she also serves as a state judge for archery and is recognized for her social activism. Her work bridges academic research, applied psychology, and community development, reflecting a commitment to advancing mental health, counselling, and social well-being in diverse populations.

Profile : Google Scholar

Featured Publications

Asad, M., Chethiyar, S.D.M., & Ali, A. (2020). Total quality management, entrepreneurial orientation, and market orientation: Moderating effect of environment on performance of SMEs. Paradigms, 14(1), 102–108.

Chethiyar, S.D.M., Asad, M., Kamaluddin, M.R.U., Ali, A., & Sulaiman, M.A.B.A. (2019). Impact of information and communication overload syndrome on the performance of students. Opción: Revista de Ciencias Humanas y Sociales, 390–405.

Asad, M., Muhammad, R., Rasheed, N., Chethiyar, S.D., & Ali, A. (2020). Unveiling antecedents of organizational politics: An exploratory study on science and technology universities of Pakistan. International Journal of Advanced Science and Technology, 29(6s), 2057–2066.

Rathakrishnan, M., Raman, A., Haniffa, M.A.B., Mariamdaran, S.D., & Haron, A.B. (2018). The drill and practice application in teaching science for lower secondary students. International Journal of Education, Psychology and Counseling, 3(7), 100–108.

Kashif, M., Asif, M.U., Ali, A., Asad, M., Chethiyar, S.D.M., & Vedamanikam, M. (2020). Managing and implementing change successfully with respect to COVID-19: A way forward for SMEs. PEOPLE: International Journal of Social Sciences, 6(2), 609–624.

Osama Sawalha | Healthcare Data Analysis | Best Researcher Award

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Dr. Osama Sawalha | Healthcare Data Analysis | Best Researcher Award

Universidad de Granada | Spain

Dr. Osama Sawalha is a dedicated researcher and registered nurse with a PhD in Public Health and Clinical Medicine from the University of Granada, Spain. His academic background also includes a Master’s degree in Health Care for the Promotion of Personal Autonomy and End-of-Life Care Processes and a Bachelor’s degree in Nursing. With extensive clinical experience across Spain and Palestine, Dr. Sawalha has worked in diverse healthcare environments, including hospitals, Alzheimer’s care facilities, and emergency medical services. His research focuses on psychological well-being, particularly depression, anxiety, and stress among patients undergoing coronary artery bypass grafting (CABG) and their caregivers. He has authored and co-authored several peer-reviewed publications in high-impact journals, addressing mental health outcomes, cardiac recovery, and family functioning in chronic illness contexts. Dr. Sawalha has presented his work at international conferences and participated in numerous professional development programs on research methodologies, scientific writing, and biomedicine. His work aims to improve the integration of psychological care within clinical and community health systems. Through his dedication to patient-centered research and compassionate nursing practice, Dr. Sawalha continues to contribute meaningfully to advancing public health and evidence-based care.

Profile : Orcid

Featured Publications

Sawalha, O., Ariza-Vega, P., Alhalaiqa, F., Pérez-Rodríguez, S., & Romero-Ayuso, D. (2024). Psychological discomfort in patients undergoing coronary artery bypass graft (CABG) in West Bank: A cohort study. Journal of Clinical Medicine, 13(7), 2027.

Sawalha, O., Ariza-Vega, P., Alhalaiqa, F., Dabbour, R., & Romero-Ayuso, D. (2025). Comparison of pre- and post-surgery cardiac depression and perceived stress levels in heart patients undergoing different types of surgery. Geriatric Nursing.

Pérez-Rodríguez, S., Sawalha, O., & Romero-Ayuso, D. (2025). ECogFun-Virtual Reality program for improving planning and organization skills in daily life in children and adolescents with ADHD: A study protocol for a randomized controlled trial. Research in Developmental Disabilities.

Sven Marc Henri Colen | Qualitative Research | Best Researcher Award

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Mr. Sven Marc Henri Colen | Qualitative Research | Best Researcher Award

Technical University Munich | Germany

Mr. Sven Marc Henri Colen PhD candidate in Sustainable Corporate Management at the Technical University of Munich, Sven Marc Henri Colen focuses his research on the green relocation of industrial production to developing countries, with a publication in Business Strategy and the Environment and academic engagements at UC Berkeley and international conferences. He holds a Master’s degree in Market-oriented Management (Top 5%) from the Catholic University of Eichstätt-Ingolstadt and a Bachelor’s degree in Law and Economics from the University of Augsburg, complemented by study experiences in Japan and South Korea. Professionally, he served as a Senior Consultant at Roland Berger, leading large-scale sustainability and decarbonization projects across the steel, energy, aviation, and automotive sectors. His consulting work emphasized green hydrogen, carbon reduction strategies, and sustainable business transformations. Actively involved in social entrepreneurship and mentoring, he co-founded a personal development start-up and supports student consultancies across Germany. His research and professional interests lie in corporate sustainability, industrial decarbonization, and green technology transitions. Recipient of several international scholarships, including the DAAD Green Hydrogen Fellowship, he combines academic rigor with practical impact, aiming to foster sustainable industrial transformation and global climate action through interdisciplinary and evidence-based management approaches.

Profile : Orcid

Featured Publications

Colen, S., & Mohnen, A. (2025, November). Between sunlight and sales: Market access constraints and conceptualizing the renewables pull effect.

Colen, S., & Mohnen, A. (2025, May). Unpacking the Renewable Pull Effect: Conditions for Green Industrial Relocation.

Colen, S. (2021, March). NTT International — Transforming a Japanese Keiretsu into a Tech Giant.