Ana Perona-Moratalla | Medicine | Best Researcher Award

Dr. Ana Perona-Moratalla | Medicine | Best Researcher Award

Neurologist at Servicio de Salud de Castilla-La Mancha, Spain.

🌍Dr. Ana Belén Perona Moratalla, a Neurology Specialist at the Complejo Hospitalario Universitario de Albacete since 2016, is a distinguished researcher and clinician. She completed her Neurology training with excellence and pursued advanced studies, including a master’s degree in Movement Disorders and a doctoral focus on von Hippel-Lindau disease. She leads the Movement Disorders Unit and has made significant contributions to stroke protocols, deep brain stimulation in Parkinson’s disease, and dementia diagnosis through biomarkers. With over 39 conference presentations, 13 high-quality publications, and active participation in clinical trials, her work bridges clinical care and innovative research. She also teaches at the University of Castilla-La Mancha, mentoring undergraduate and postgraduate students.

Profile👤

Education 🎓

🎓Dr. Perona completed her Neurology specialization (2005-2009) at the Hospital General Universitario de Albacete, earning an excellence evaluation. She further specialized in movement disorders at London’s National Hospital of Neurology and Neurosurgery. During her residency, she pursued doctoral coursework at Universidad Autónoma de Madrid. Between 2011-2013, she obtained a Master’s in Movement Disorders from Universidad de Murcia. Currently a Ph.D. candidate at Universidad de Castilla-La Mancha, her research explores hemangioblastomas in von Hippel-Lindau disease.🎓

Experience💼

🩺Since 2009, Dr. Perona has served as Adjunct Physician at Hospital General Universitario de Albacete, with a tenure at Hospital General de Almansa (2013-2016), where she developed ischemic stroke protocols. She specializes in deep brain stimulation, advanced neurodiagnostics, and cerebrovascular interventions. Dr. Perona actively participates in functional neurosurgery for movement disorders and has guided EEG analysis, neuro-oncology research, and patient care protocols👨‍🔬🌍

Research Interests 🔬

🔬Dr. Perona’s research encompasses movement disorders, ischemic stroke, and neuro-oncology. Her work in cerebrovascular biomarker identification and deep brain stimulation efficacy for Parkinson’s disease has advanced therapeutic approaches. She also investigates hemangioblastomas linked to von Hippel-Lindau disease, collaborating on translational research and clinical trials.🌿🧪

Awards and Honors 🏆

Dr. Perona has received recognition for her groundbreaking contributions to neurology, including commendations for establishing innovative diagnostic protocols and presenting at international conferences. She has contributed to 39 congresses and authored multiple high-impact publications. Her collaborative work in clinical trials has gained widespread acclaim.

Conclusion 🔚 

Dr. Perona Moratalla demonstrates a robust portfolio of clinical excellence, research innovation, and academic dedication, making her a strong candidate for the Best Researcher Award. Her work significantly impacts neurology, with potential to grow further through enhanced research visibility and global engagement. This award would not only honor her achievements but also encourage her continued contributions to the field.

Publications Top Notes 📚

Emergency nursing staff’s well-being, burnout, and sleep on 12-hour shifts

Authors: Sánchez Onrubia, I.M., Resta Sánchez, E.J., Cabañero Contreras, T., Perona Moratalla, A.B., Molina Alarcón, M.
Year: 2024
Citations: 0

Neurologic manifestations in hospitalized patients with COVID-19: The ALBACOVID registry

Authors: Romero-Sánchez, C.M., Díaz-Maroto, I., Fernández-Díaz, E., Ahmad, J., Segura, T.
Year: 2020
Citations: 595

Isolation and Quantification of Blood Apoptotic Bodies, a Non-invasive Tool to Evaluate Apoptosis in Patients with Ischemic Stroke and Neurodegenerative Diseases

Authors: Serrano-Heras, G., Díaz-Maroto, I., Castro-Robles, B., Ayo-Martín, O., Segura, T.
Year: 2020
Citations: 23

Assessment of efficacy and safety of eslicarbazepine acetate for the treatment of trigeminal neuralgia

Authors: Sanchez-Larsen, A., Sopelana, D., Diaz-Maroto, I., Palazón-García, E., Segura, T.
Year: 2018
Citations: 32

Propranolol reduces viability and induces apoptosis in hemangioblastoma cells from von Hippel–Lindau patients

Authors: Albiñana, V., Villar Gómez De Las Heras, K., Serrano-Heras, G., De Campos, J.M., Botella, L.M.
Year: 2015
Citations: 37

Contribution of ultrasound in a patient with motor neuropathy with blocks

Authors: Pardal-Fernández, J.M., Arciniegas, A., Perona-Moratalla, A.B., García-García, J.
Year: 2014
Citations: 0

Deep brain stimulation in Parkinson’s disease

Authors: Díaz-Maroto, I., Fernández-Díaz, E., Palazón-García, E., Perona-Moratalla, A.B., García Muñozguren, S.
Year: 2012
Citations: 6

Post-electrocution delayed myelopathy

Authors: Pardal-Fernández, J.M., Perona-Moratalla, A.B., Rodríguez-Vázquez, M.
Year: 2012
Citations: 0

Non-motor disorders in Parkinson’s disease: Introduction and general features

Authors: Argandoña-Palacios, L., Perona-Moratalla, A.B., Hernández-Fernández, F., Díaz-Maroto, I., García-Muñozguren, S.
Year: 2010
Citations: 7

Utility of in situ thrombolysis in patients with cerebral venous thrombosis

Authors: Hernández-Fernández, F., Perona-Moratalla, A.B., Segura, T.
Year: 2009
Citations: 0

 

 

Renyi Liu | Genetics | Best Researcher Award

Dr. Renyi Liu | Genetics | Best Researcher Award

Haixia Institute of Science and Technology at Fujian Agriculture and Forestry University, China.

🌍Dr. Renyi Liu is a distinguished researcher with an extensive background in genetics, bioinformatics, and plant biology. With a Ph.D. from the University of Georgia and decades of experience spanning roles in the U.S., China, and international collaborations, Dr. Liu’s contributions are remarkable. His work focuses on bioinformatics, plant genomics, and regulatory elements that drive agronomically important traits. His impressive list of over 100 publications (many as corresponding author) highlights his global impact, particularly in plant stress biology, virus identification, and computational biology.

Profile👤

Education 🎓

🎓Ph.D. in Genetics – University of Georgia, USA (2005). Dissertation: The evolution of gene composition in Angiosperms.
Advisor: Dr. Jeffrey L. Bennetzen. M.S. in Computer Sciences – University of Georgia, USA (2001) Thesis: Strategies for improving multiple alignment of retrotransposon sequences. Advisor: Dr. Eileen T. Kraemer. M.S. in Ecology – University of Science and Technology, Beijing, China (1997) Institute of Zoology, CAS. Thesis: Genetic variation of cotton bollworm populations in China.. B.S. in Ecology and Environmental Biology – Wuhan University, China (1991) 🧬🎓

Experience💼

🩺Professor | Fujian Agriculture and Forestry University(2018–Present). Leading research in agroforestry mega-data and bioinformatics.. Principal Investigator & Director of Bioinformatics | Shanghai Center for Plant Stress Biology(2014–2017). Assistant Professor | University of California, Riverside, USA(2007–2014). Postdoctoral Researcher | University of Arizona, USA(2006–2007). Advisor: Dr. Howard Ochman.. One-Hundred Talent Program | Type A, CAS(2015)👨‍🔬🌍

Research Interests 🔬

🔬Plant Regulatory Elements: Identifying critical elements for crop traits and metabolites..High-Throughput Bioinformatics: Genomic, transcriptomic, proteomic, and metabolomics analyses. Non-Coding RNA Studies: Functional characterization and their role in plant genomes. Software Development: Creating bioinformatics tools and plant genome databases. Comparative Plant Genomics: Evolutionary analysis to enhance agricultural sustainability.🌿🧪

Awards and Honors 🏆

Recipient, One-Hundred Talent Program, Type A, Chinese Academy of Sciences (2015). Outstanding Researcher Award – University of California (2012). Best Paper Award in Bioinformatics (2011). Recognized as Top 1% Most Cited Researcher globally for Plant Genomics (2020, 2022). Young Scientist Award – Chinese Academy of Sciences (2010)

Conclusion 🔚 

Dr. Renyi Liu is an exceptional candidate for the Best Researcher Award. His groundbreaking contributions in plant genomics, bioinformatics, and virus discovery make him a leader in the field of agricultural science. His extensive publication record, leadership roles, and innovative research projects showcase his dedication to advancing knowledge and addressing global agricultural challenges.

Publications Top Notes 📚

“Identification and Characterization of Four Novel Viruses in Balclutha incisa
Authors: Xiao, J.; Yang, G.; Liu, R.; Ge, D.
Year: 2024
Citations: 0**

“Comparative Analysis of Transposable Elements in the Genomes of Citrus and Citrus-Related Genera”
Authors: Wu, Y.; Wang, F.; Lyu, K.; Liu, R.
Year: 2024
Citations: 1

“Screening and Characterization of a New Iflavirus Virus in the Fruit Tree Pest Pyrops candelaria
Authors: Lin, H.; Song, W.; Ma, D.; Xiao, J.; Zhuang, Z.
Year: 2024
Citations: 1**

“Discovery and Genomic Analysis of Three Novel Viruses in the Order Mononegavirales in Leafhoppers”
Authors: Xiao, J.; Nie, B.; Chen, M.-E.; Ge, D.; Liu, R.
Year: 2024
Citations: 0

“Comparative Analysis of Transposable Elements in Strawberry Genomes of Different Ploidy Levels”
Authors: Lyu, K.; Xiao, J.; Lyu, S.; Liu, R.
Year: 2023
Citations: 2

“Review of Konjac Glucomannan Structure, Properties, Gelation Mechanism, and Application in Medical Biology”
Authors: Sun, Y.; Xu, X.; Zhang, Q.; Liu, R.; Pang, J.
Year: 2023
Citations: 21

“Full Genome Sequence of a Novel Iflavirus from the Aster Leafhopper Macrosteles fascifrons
Authors: Xiao, J.; Zhu, K.; Ma, R.; Ge, D.; Liu, R.
Year: 2023
Citations: 1

“Structure, Merits, Gel Formation, Gel Preparation and Functions of Konjac Glucomannan and Its Application in Aquatic Food Preservation”
Authors: Sun, Y.; Xu, X.; Wu, Z.; Liu, R.; Pang, J.
Year: 2023
Citations: 13

“ROP Signaling Regulates Spatial Pattern of Cell Division and Specification of Meristem Notch”
Authors: Rong, D.; Zhao, S.; Tang, W.; Nagawa, S.; Yamamuro, C.
Year: 2022
Citations: 12

“Dysfunction of Histone Demethylase IBM1 in Arabidopsis Causes Autoimmunity and Reshapes the Root Microbiome”
Authors: Lv, S.; Yang, Y.; Yu, G.; Tang, K.; Zhang, H.
Year: 2022
Citations: 14

 

 

Satish Jaiswal | Neuroscience | Best Researcher Award

Dr. Satish Jaiswal | Neuroscience | Best Researcher Award

Postdoctoral Scholar at University of California, San Diego, United States.

🌍Dr. Satish Jaiswal is a Postdoctoral Scholar at the NEATLabs, Department of Psychiatry, University of California, San Diego. His expertise lies in cognitive neuroscience, mindfulness, and anxiety research, with a strong emphasis on mental health interventions. Dr. Jaiswal holds a Ph.D. from National Central University, Taiwan, and has conducted impactful research on mindfulness-based treatments and neural dynamics. With over a decade of experience, he has authored more than 10 peer-reviewed publications in leading journals, collaborated on innovative projects like MediTMS and PERMA, and contributed to developing digital mindfulness apps. His awards, such as the NCCIH Seed Grant (2024) and the T. Denny Sanford Postdoctoral Fellowship, highlight his dedication to advancing personalized mental health solutions.

Profile👤

Education 🎓

🎓Dr. Jaiswal holds a Ph.D. in Cognitive Neuroscience from National Central University, Taiwan (2019), where he explored the interplay between mindfulness and anxiety on cognitive functions. He earned an MSc in Biotechnology from VIT University, Vellore (2012), focusing on biosciences and clinical applications. His BSc in Biotechnology from the University of Madras, Chennai (2010), laid the foundation for his academic excellence. Each step of his education reflects a focus on mental health, neurocognitive dynamics, and innovative therapeutic approaches. His academic journey showcases a commitment to interdisciplinary research, combining neuroscience, mindfulness, and biotechnological methods to address pressing psychological and cognitive challenges. 🧬🎓

Experience💼

🩺Dr. Jaiswal’s career spans roles such as Postdoctoral Scholar at NEATLabs, University of California, San Diego (2021–present), where he develops hybrid interventions for depression. As a Visiting Research Scholar at Virginia Commonwealth University (2021), he contributed to wellbeing initiatives. Previously, at the University of Wisconsin-Madison (2019–2021), he conducted research on neurocognitive mechanisms. His experience also includes impactful research during his Ph.D. and master’s studies, alongside supervising interns, managing data, and conducting EEG-based experiments. His professional trajectory highlights a deep engagement with neuroscience, mindfulness, and mental health research. 👨‍🔬🌍

Research Interests 🔬

🔬Dr. Jaiswal’s research centers on mindfulness, anxiety, and their effects on cognitive functions, integrating neurostimulation and digital interventions for mental health. His projects include MediTMS, which combines TMS therapy with meditation, and MEND, focusing on depression treatment optimization. His work on personalized therapies (PERMA) aims to tailor interventions for mental health. Through cutting-edge neuroscience and machine learning, Dr. Jaiswal addresses mental health challenges, enhancing cognitive performance and emotional wellbeing. 🌿🧪

Awards and Honors 🏆

Dr. Jaiswal has received numerous accolades, including the NCCIH Seed Grant (2024) for his innovative work in mindfulness-neurostimulation and the prestigious T. Denny Sanford Postdoctoral Fellowship (2023). His achievements include multiple travel awards from the Ministry of Science & Technology, Taiwan, for attending international conferences and a Ph.D. thesis writing grant (2019). His lifetime Lectureship Certification in Life Sciences (2013) further underscores his academic contributions. These awards recognize his global impact on cognitive neuroscience and mindfulness research. 🎉

Conclusion 🔚 

Dr. Satish Jaiswal is an exceptional candidate for the Best Researcher Award, given his substantial contributions to cognitive neuroscience and mindfulness research. His innovative projects, impactful publications, and mentoring roles set him apart as a leader in his field. While there is room for further growth in outreach and global collaborations, his current achievements demonstrate a commitment to advancing mental health research with tangible benefits to society. This makes him a highly deserving nominee for this prestigious recognition.

Publications Top Notes 📚

Better cognitive performance is associated with the combination of high trait mindfulness and low trait anxiety

Authors: S. Jaiswal, S.Y. Tsai, C.H. Juan, W.K. Liang, N.G. Muggleton

Citations: 55

Year: 2018

Low delta and high alpha power are associated with better conflict control and working memory in high mindfulness, low anxiety individuals

Authors: S. Jaiswal, S.Y. Tsai, C.H. Juan, N.G. Muggleton, W.K. Liang

Citations: 42

Year: 2019

Indices of association between anxiety and mindfulness: A guide for future mindfulness studies

Authors: S. Jaiswal, N.G. Muggleton, C.H. Juan, W.K. Liang

Citations: 22

Year: 2019

3β-Hydroxy-urs-12-en-28-oic acid confers protection against ZnONPs induced adversity in Caenorhabditis elegans

Authors: H. Negi, S.K. Saikia, R. Kanaujia, S. Jaiswal, R. Pandey

Citations: 21

Year: 2017

Meditation effects on the control of involuntary contingent reorienting revealed with electroencephalographic and behavioral evidence

Authors: S.Y. Tsai, S. Jaiswal, C.F. Chang, W.K. Liang, N.G. Muggleton, C.H. Juan

Citations: 15

Year: 2018

To go or not to go: Degrees of dynamic inhibitory control revealed by the function of grip force and early electrophysiological indices

Authors: T.V. Nguyen, C.Y. Hsu, S. Jaiswal, N.G. Muggleton, W.K. Liang, C.H. Juan

Citations: 8

Year: 2021

Studies on the dielectric properties of natural urinary stones

Authors: D. Sinha, K. Anwar, K. Kumari, S. Jaishwal, S. Madeshwaran, S. Keshari, …

Citations: 8

Year: 2012

Isolation of toxigenic mycoflora from potential edible sources and study of the susceptibility to produce aflatoxin

Authors: K. Anwar, K. Kumari, S. Jaiswal, S. Keshari, A. Menta

Citations: 7

Year: 2013

Design and Implementation of a Brief Digital Mindfulness and Compassion Training App for Health Care Professionals: Cluster Randomized Controlled Trial

Authors: S. Jaiswal, S.R. Purpura, J.K. Manchanda, J. Nan, N. Azeez, D. Ramanathan, …

Citations: 6

Year: 2024

Exploring the impact of a brief mindfulness induction on motor inhibitory control

Authors: S. Jaiswal, S.Y. Tsai, C.H. Juan, W.K. Liang, N.G. Muggleton, E. Aminoff

Citations: 5

Year: 2020

Resting State Dynamics in People with Varying Degrees of Anxiety and Mindfulness: A Nonlinear and Nonstationary Perspective

Authors: S. Jaiswal, S.L. Huang, C.H. Juan, N.E. Huang, W.K. Liang

Citations: 2

Year: 2023

Modulation of Posterior Default Mode Network Activity During Interoceptive Attention and Relation to Mindfulness

Authors: D. Ramanathan, J. Nan, G. Grennan, S. Jaiswal, S. Purpura, J. Manchanda, …

Citations: Not yet cited

Year: 2024

A Personalized Machine Learning Approach for Targeting Behavioral Health in Adolescent Depression

Authors: J.M. Jason Nan, Satish Jaiswal, Suzanna R. Purpura, James K. Manchanda, Houtan …

Citations: Not yet cited

Year: 2024

 

 

Nitesh Kauahal | Agricultural | Research and Development Achievement Award

Dr. Nitesh Kauahal | Agricultural | Research and Development Achievement Award

Senior project associate at Council of Scientific and Industrial Research – Institute of Himalayan Bioresource Technology, India.

🌍Nitesh Kaushal’s contributions to agricultural science, particularly in floriculture and sustainable practices, demonstrate his strong candidacy for the Research and Development Achievement Award. His work includes innovative propagation methods for ornamental plants, sustainability-focused research on Jeevamrit, and hydroponics in floriculture. With numerous awards for poster presentations, research publications in high-impact journals, and participation in national and international conferences, Kaushal showcases a commitment to advancing agricultural knowledge. His interdisciplinary approach to promoting sustainable farming practices aligns with the core objectives of the award.

Profile👤

Education 🎓

🎓Nitesh Kaushal holds a Ph.D. in Agricultural Sciences, with a focus on sustainable farming techniques and ornamental horticulture. His education journey began with an undergraduate degree in Agriculture followed by a master’s degree in the same field, where he specialized in floriculture and sustainable agricultural practices. Nitesh gained valuable research experience during his doctoral studies at the Dr. YS Parmar University of Horticulture and Forestry, Nauni-Solan, Himachal Pradesh. His academic pursuits have been further enriched by participation in international training programs, workshops, and conferences, where he gained exposure to the latest advancements in agricultural technology and natural farming. Nitesh’s educational background is complemented by practical research experiences, where he worked under renowned mentors and contributed to the advancement of the agricultural sector. His commitment to improving the agricultural landscape continues as he remains dedicated to innovating and promoting sustainable farming practices.🧬🎓

Experience💼

🩺Nitesh Kaushal’s research experience spans a diverse range of topics within sustainable agriculture, floriculture, and innovative farming methods. His Ph.D. research focused on standardizing propagation methods for temperate ornamental trees, particularly during his tenure at the RHR&TS, Mashobra, where he worked under the mentorship of Dr. J.S. Wazir. Additionally, Nitesh’s involvement in hydroponics research and the development of sustainable fertilizers like Jeevamrit showcases his commitment to sustainable farming practices. He has presented at several prestigious national and international conferences and has authored numerous research papers in reputed journals. Nitesh has also collaborated with agricultural universities and ICAR institutes, contributing to agricultural extension services and the development of farming practices for small and marginal farmers. His experience also extends to practical fieldwork, where he has been involved in the direct application of research findings to improve agricultural productivity and sustainability in local communities.👨‍🔬🌍

Research Interests 🔬

🔬Nitesh Kaushal’s primary research focus is on sustainable agricultural practices, particularly within the fields of floriculture, hydroponics, and natural farming. He has dedicated significant research efforts towards developing and promoting sustainable fertilizer alternatives like Jeevamrit, which is crucial for reducing chemical dependency in agriculture. His work in ornamental plant propagation, particularly in temperate trees, contributes to the advancement of floriculture. Nitesh has also worked on the impact of various farming techniques, such as hydroponics, on the productivity of floriculture crops. His research includes cost-benefit analyses of natural farming methods versus conventional chemical fertilizers, which highlight the environmental and economic advantages of sustainable practices. Additionally, Nitesh’s work emphasizes the promotion of innovative farming methods to enhance food security and sustainable farming practices for small and marginal farmers, aiming to improve their livelihoods. His interdisciplinary research aims to merge traditional farming techniques with modern agricultural innovations for sustainable development. 🌿🧪

Awards and Honors 🏆

🏆Nitesh Kaushal has received numerous accolades for his outstanding contributions to agricultural research and innovation. His award-winning work on sustainable hydroponic practices in floriculture earned him the Best Poster Presentation Award at the National Conference on Precision Farming for Sustainable Agriculture (PFSA 2024). He also received the Best Poster Presentation Award for his research on Jeevamrit as a sustainable fertilizer alternative for marigold cultivation at the International Conference on Advances in Agriculture Technology and Allied Sciences (ICAATAS 2024). His innovative approach to edible flowers also garnered recognition at the International Conference on Protected Cultivation of Horticultural Crops, Post Harvest Handling, and Digital Agriculture in 2023. These awards are a testament to his dedication to sustainable farming and his ability to communicate complex agricultural innovations effectively. Nitesh continues to be recognized for his contributions to the agricultural sciences, and his work remains highly influential in the field of sustainable agriculture.🏆🎉

Conclusion 🔚 

Nitesh Kaushal stands as an exemplary candidate for the Research and Development Achievement Award due to his innovative contributions to floriculture and sustainable farming practices. His research and outreach activities have the potential to transform agricultural practices, benefiting farmers and fostering sustainable development. Addressing suggested improvements would further elevate his profile and impact.

Publications Top Notes 📚

Title: Research on cuttings and flower yield improvement of marigold cv. Siracole for sustainable production through Jeevamrit application
Journal: Heliyon
Year: 2024-12
DOI: 10.1016/j.heliyon.2024.e40567
Source: Crossref

Title: Jeevamrit: A Sustainable Alternative to Chemical Fertilizers for Marigold (Tagetes erecta cv. Siracole) Cultivation under Mid-Hills of Himachal Pradesh
Journal: Horticulturae
Year: 2024-08
DOI: 10.3390/horticulturae10080846
Source: Multidisciplinary Digital Publishing Institute

Title: Natural Farming: A Sustainable Alternative to Chemical Fertilizers for Marigold (Tagetes erecta cv. Siracole) Cultivation under Mid-Hills of Himalayan Region
Type: Preprint
Year: 2024-07-08
DOI: 10.20944/preprints202407.0563.v1
Source: Crossref

Julian Santiago-Moreno | Agricultural | Excellence in Research

Dr. Julian Santiago-Moreno | Agricultural | Excellence in Research

Research Professor at NSpanish National Research Council (CSIC) Consejo Superior de Investigaciones Científicas, Spain.

🌍Dr. Julián Santiago Moreno is a distinguished Research Professor at CSIC’s Animal Reproduction Department, specializing in comparative spermatology, cryobiology, and conservation. His pivotal contributions include pioneering sperm cryopreservation techniques for endangered species, establishing germplasm banks for wild and domestic breeds, and leading reproductive programs resulting in the successful birth of giant pandas in captivity. With over 200 peer-reviewed publications, an h-index of 30, and numerous international collaborations, his work bridges academic research and practical conservation efforts. He has secured significant funding, trained 12 Ph.D. students, and serves as an advisor to governments and conservation organizations globally.

Profile👤

Education 🎓

🎓Dr. Moreno began his academic journey with a veterinary degree, followed by a Ph.D., which focused on reproductive physiology. His expertise expanded during his Ph.D. fellowship at INIA and subsequent academic roles, including postdoctoral research at INRA, France. Over his career, Dr. Moreno has contributed to bridging veterinary science and conservation biology, bringing innovative solutions to wildlife and livestock reproductive challenges.🧬🎓

Experience💼

🩺Dr. Moreno’s extensive experience includes leading research teams, developing conservation programs, and advising governments and zoological institutions worldwide on reproductive technologies. His innovative cryopreservation methods have supported the survival of endangered species.👨‍🔬🌍

Research Interests 🔬

🔬Dr. Moreno’s research bridges the gap between fundamental reproductive biology and practical conservation efforts, with achievements like creating Spain’s first national chicken sperm bank and optimizing assisted reproduction techniques for wild animals. 🌿🧪

Awards and Honors 🏆

🏆Dr. Moreno’s accolades highlight his global influence in animal conservation and reproductive technology.Editor, Animal and Spanish Journal of Agricultural Research. Adviser to the Chinese Government on Black Silky Chicken conservation. Multiple international keynote speaker invitations, including at the International Ruminant Reproduction Symposium. Recognition for pioneering cryopreservation of wild and domestic species 🏆🎉

Conclusion 🔚 

Dr. Santiago Moreno’s career exemplifies excellence in reproductive biology and conservation. His pioneering techniques and leadership have significantly advanced biodiversity preservation, particularly for endangered species. While his scientific and professional achievements are remarkable, expanding public engagement and interdisciplinary collaborations would further elevate his contributions. He is an outstanding candidate for the Excellence in Research Award, deserving recognition for his impactful and innovative work.

Publications Top Notes 📚

Effect of exogenous lactoferrin and phosphoglycerate mutase 2 on the cryopreservation of wild ruminant epididymal/ejaculated sperm and testicular tissue

Authors: Santiago-Moreno, J., Peris-Frau, P., Toledano-Díaz, A., Prieto, P., Martínez-Madrid, B.

Citations: 0

Year: 2025

Detection of Androgen Receptors in Spermatozoa of Small Ruminants: A Putative Modulation Pathway for Cryoresistance Through AQP3

Authors: Alba, E., Castaño, C., Toledano-Díaz, A., Rodriguez-Martinez, H., Santiago-Moreno, J.

Citations: 0

Year: 2024

Effective use of artificial insemination as an ex situ conservation method for the capercaillie

Authors: O’Brien, E., Sabater, A.S., Toledano-Díaz, A., Łukaszewicz, E., Santiago-Moreno, J.

Citations: 0

Year: 2024

High cooling rate of 60°C/min around ice nucleation during cryopreservation compromises chicken sperm viability

Authors: Toledano-Díaz, A., Robledo, R., Alba, E., Rauw, W.M., Santiago-Moreno, J.

Citations: 0

Year: 2024

Editorial

Authors: Lorenzo, P.L., Santiago-Moreno, J.

Citations: 0

Year: 2024

The role of TEAD4 in trophectoderm commitment and development is not conserved in non-rodent mammals

Authors: Pérez-Gómez, A., González-Brusi, L., Flores-Borobia, I., Ramos-Ibeas, P., Bermejo-Álvarez, P.

Citations: 1

Year: 2024

PPARG is dispensable for bovine embryo development up to tubular stages

Authors: Pérez-Gómez, A., González-Brusi, L., Flores-Borobia, I., Ramos-Ibeas, P., Bermejo-Álvarez, P.

Citations: 0

Year: 2024

Cooling rate modifies the location of aquaporin 3 in spermatozoa of sheep and goat

Authors: Pequeño, B., Millán de la Blanca, M.G., Castaño, C., Rodriguez-Martinez, H., Santiago-Moreno, J.

Citations: 2

Year: 2024

Thyroxine administration at the end of the rutting season does not affect testosterone secretion or horn growth in the Iberian ibex (Capra pyrenaica)

Authors: Rodríguez-Luis, A., Toledano-Díaz, A., Velázquez, R., Mogedas-Moreno, M., Santiago-Moreno, J.

Citations: 0

Year: 2024

A single administration of carbetocin before electroejaculation increases the insemination doses produced from each ejaculate in rams

Authors: Orihuela, J.C., Freitas-de-Melo, A., Pinto-Santini, L., Silveira, P., Ungerfeld, R.

Citations: 1

Year: 2024

 

 

Amin Jafari-Ramiani | Materials Science | Best Researcher Award

Dr. Amin Jafari-Ramiani | Materials Science | Best Researcher Award

Assistant Professor at Amirkabir University of Technology (Tehran Polytechnic), Materials and Metallurgical Engineering, Iran.

🌍Amin Jafari-Ramiani is an Assistant Professor at Amirkabir University of Technology with a focus on computational materials engineering (CME), multiphase transport phenomena, non-equilibrium thermodynamics, and magnetohydrodynamics. He has been a certified scholar since 2002, with expertise in mathematical modeling and simulation of metallurgical processes such as casting, welding, and solidification. His research contributions extend to the development of software and tools like SENSE for industrial problem-solving, along with numerous publications and patents. His academic background and continuous drive for innovation position him as a strong candidate for the Best Researcher Award.

Profile👤

Education 🎓

🎓Amin Jafari-Ramiani completed his academic journey with a strong foundation in computational materials engineering. He earned his degrees from reputable institutions, with a particular focus on mathematical modeling and simulation in the context of industrial applications. His academic career has been marked by significant contributions to fields such as non-equilibrium thermodynamics and multiphase transport phenomena. His education equips him with the technical skills to address complex challenges in metallurgical processes and material engineering. Additionally, his interest in the philosophy of science and computational thinking enhances his approach to research and education, offering interdisciplinary insights to his students and collaborators.🧬🎓

Experience💼

🩺Amin Jafari-Ramiani has over two decades of experience in both academic and industrial projects. As an Assistant Professor at Amirkabir University of Technology, he has designed and delivered lectures in computational materials engineering, focusing on advanced topics such as casting, welding, solidification, and thermodynamics. He has led numerous research projects, resulting in the development of industrial solutions and publications in prestigious journals. His experience also extends to consulting in Computational Materials Engineering (CME), where he has worked on high-impact projects addressing real-world engineering challenges. In addition, he has contributed to the development of software tools like SENSE, which aids in solving complex metallurgical and material engineering problems. He is also active in various professional societies and has editorial responsibilities in academic journals.👨‍🔬🌍

Research Interests 🔬

🔬Amin Jafari-Ramiani’s research focuses on advancing Computational Materials Engineering (CME), with particular attention to the modeling and simulation of metallurgical processes such as casting, welding, and solidification. He also specializes in multiphase transport phenomena, non-equilibrium thermodynamics, and magnetohydrodynamics. His work seeks to improve the efficiency and accuracy of mathematical models in engineering applications, contributing to the development of innovative solutions for industrial problems. Jafari-Ramiani’s research aims to bridge the gap between theory and practical implementation, addressing complex challenges in materials engineering and supporting the development of more sustainable and efficient industrial processes. His contributions have significant implications for various sectors, including the metallurgical, energy, and manufacturing industries. 🌿🧪

Awards and Honors 🏆

🏆Amin Jafari-Ramiani has received various accolades for his work in Computational Materials Engineering. His contributions to the field of metallurgical process modeling, thermodynamics, and magnetohydrodynamics have been recognized through both academic and industry awards. His research papers have been widely cited, further cementing his status as a leading expert in his field. In addition to these academic honors, Jafari-Ramiani holds a patent for an industrial solution that addresses critical engineering challenges. His continuous collaboration with international scholars and professional organizations like the Iranian Society of Engineering Education, Iran Iron & Steel Society, and Iranian Foundrymen Society underscores his ongoing commitment to advancing the field of engineering. 🏆🎉

Conclusion 🔚 

Amin Jafari-Ramiani’s research excellence, diverse expertise, and innovative approach to computational materials engineering make him a remarkable candidate for the Best Researcher Award. His continuous contributions to academia and industry highlight his commitment to pushing the boundaries of scientific knowledge and technological advancement.

Publications Top Notes 📚

Efficient energy absorption of functionally-graded metallic foam-filled tubes under impact loading
Authors: M Salehi, SMH Mirbagheri, A Jafari-Ramiani
Citations: 41
Year: 2021

Contribution of forced centreline convection during direct chill casting of round billets to macrosegregation and structure of binary Al–Cu aluminium alloy
Authors: DG Eskin, A Jafari-Ramiani, L Katgerman
Citations: 29
Year: 2011

Deformation Behavior and Crashworthiness of Functionally Graded Metallic Foam-Filled Tubes Under Drop-Weight Impact Testing
Authors: M Salehi, SMH Mirbagheri, A Jafari-Ramiani
Citations: 10
Year: 2020

Numerical modeling of macrosegregation during the direct-chill casting of an Al alloy billet
Authors: A Jafari-Ramiani, SH Seyedein, MR Aboutalebi, DG Eskin, L Katgerman
Citations: 10
Year: 2010

Numerical investigation of heat, flow and particle trajectory in A-TIG welding pool of 304L-SS
Authors: S Pourmand, A Jafari-Ramiani, A Ebrahimi
Citations: 8
Year: 2020

Experimental, theoretical, and numerical investigations into the compressive behavior of multi-layer metallic foam filled tubes
Authors: M Salehi, SMH Mirbagheri, A Jafari Ramiani
Citations: 7
Year: 2022

Modeling of heat transfer and solidification of droplet/substrate in microcasting SDM process
Authors: A Jafari-Ramiani, SH Seyedein, M Haghpanahi
Citations: 7*
Year: 2008

Phase change modelling with flexible source-based kinetics for non-equilibrium transitions
Authors: A Jafari-Ramiani
Citations: 6*
Year: 2020

Semi-implicit method for thermodynamically linked equations in phase change problems (SIMTLE)
Authors: A Jafari-Ramiani, SH Seyedein, MR Aboutalebi
Citations: 6
Year: 2011

Iterative standard strategy for non-linear optimization in melting furnace charge calculations
Authors: A Jafari-Ramiani, D Yousefi, M Mohajeri
Citations: 4
Year: 2021

 

 

Rajeevan Arunthavanathan | Engineering | Best Researcher Award

Dr. Rajeevan Arunthavanathan | Engineering | Best Researcher Award

Postdoctoral Researcher at Texas A&M University, United States.

🌍Dr. Rajeevan Arunthavanathan is a distinguished researcher and educator specializing in AI safety, process safety, and ICS cybersecurity. With a Ph.D. in Process Engineering and over a decade of academic and industrial experience, he has developed groundbreaking methods for risk evaluation and safety in critical infrastructures. His prolific publication record includes high-impact journals and book chapters on AI-human conflict, machine learning applications, and process fault diagnosis. Dr. Arunthavanathan has contributed significantly to curriculum development, student mentorship, and project management in academia and industry, positioning himself as a leader in the intersection of AI and process safety.

Profile👤

Education 🎓

🎓Dr. Arunthavanathan completed his Ph.D. in Process Engineering at Memorial University, Canada, in 2022, focusing on AI-driven fault diagnosis in process systems. He earned his MSc in Microelectronics and Communication from Northumbria University, UK, in 2010, graduating with distinction, and a B.Eng. in Electrical and Electronics Engineering from the same institution in 2007. His academic mentors included renowned professors, under whom he honed expertise in AI, control systems, and microelectronics. Throughout his education, he demonstrated excellence through research on AI-human interaction and advanced microelectronics, laying the foundation for his impactful career.🧬🎓

Experience💼

🩺Dr. Arunthavanathan has extensive experience in academia and industry. At Texas A&M University, he researches AI safety and mentors graduate students. Previously, at C-CORE, Canada, he developed ML models for data noise cleaning and smart ice management. He served as a senior lecturer at SLIIT, Sri Lanka, revising engineering curricula to meet international accreditation standards. His industrial experience includes work as a trainee engineer at Perry Slingsby Systems, UK, where he contributed to advanced underwater surveillance systems. His teaching spans multiple institutions, offering courses in process safety, microelectronics, and programming, blending theory with practical applications.👨‍🔬🌍

Research Interests 🔬

🔬Dr. Arunthavanathan’s research lies at the nexus of AI safety, process safety, and industrial control systems (ICS) cybersecurity. He develops innovative models to evaluate AI efficiency and mitigate risks in human-AI collaboration. His work on fault diagnosis, risk assessment, and operational technology cybersecurity addresses pressing challenges in critical infrastructure. His focus extends to integrating machine learning for noise cleaning in data systems and applying AI in Industry 4.0 technologies. With a commitment to enhancing process safety and addressing cyber threats, his research bridges theoretical advancements with practical applications for safer industrial operations. 🌿🧪

Awards and Honors 🏆

🏆Dr. Arunthavanathan has received numerous accolades, including being named a Fellow of the School of Graduate Studies at Memorial University (2022). His MSc degree was conferred with distinction by Northumbria University (2010). He serves as an editor for leading journals like Sensors and AI and reviews manuscripts for high-impact publications, including IEEE Access. His professional memberships with IEEE and AIChE reflect his standing in the academic community. These achievements underscore his dedication to advancing AI, process safety, and engineering education through impactful research and professional service. 🏆🎉

Conclusion 🔚 

Dr. Rajeevan Arunthavanathan is a strong contender for the Best Researcher Award, given his impactful contributions to AI safety, process fault diagnosis, and industrial control systems. His expertise, combined with a commitment to education and industry applications, exemplifies the qualities of an outstanding researcher. Recognizing his achievements will inspire further advancements in safety and AI-driven solutions for critical infrastructure.

Publications Top Notes 📚

An analysis of process fault diagnosis methods from safety perspectives

Authors: R. Arunthavanathan, F. Khan, S. Ahmed, S. Imtiaz

Citations: 126

Year: 2021

A deep learning model for process fault prognosis

Authors: R. Arunthavanathan, F. Khan, S. Ahmed, S. Imtiaz

Citations: 120

Year: 2021

Fault detection and diagnosis in process system using artificial intelligence-based cognitive technique

Authors: R. Arunthavanathan, F. Khan, S. Ahmed, S. Imtiaz, R. Rusli

Citations: 76

Year: 2020

Autonomous fault diagnosis and root cause analysis for the processing system using one-class SVM and NN permutation algorithm

Authors: R. Arunthavanathan, F. Khan, S. Ahmed, S. Imtiaz

Citations: 52

Year: 2022

Industry 4.0-based process data analytics platform

Authors: T.R. Wanasinghe, M.G. Don, R. Arunthavanathan, R.G. Gosine

Citations: 10

Year: 2022

Machine Learning for Process Fault Detection and Diagnosis

Authors: R. Arunthavanathan, S. Ahmed, F. Khan, S. Imtiaz

Citations: 9

Year: 2022

Vehicle monitoring controlling and tracking system by using Android application

Authors: A. Rajeevan, N.K. Payagala

Citations: 8

Year: 2016

Artificial intelligence–Human intelligence conflict and its impact on process system safety

Authors: R. Arunthavanathan, Z. Sajid, F. Khan, E. Pistikopoulos

Citations: 7

Year: 2024

Process safety 4.0: Artificial intelligence or intelligence augmentation for safer process operation?

Authors: R. Arunthavanathan, Z. Sajid, M.T. Amin, Y. Tian, F. Khan, E. Pistikopoulos

Citations: 7

Year: 2024

Statistical approaches and artificial neural networks for process monitoring

Authors: M. Alauddin, R. Arunthavanathan, M.T. Amin, F. Khan

Citations: 6

Year: 2022

 

Nordine Quadar | Energy | Best Researcher Award

Mr. Nordine Quadar | Energy | Best Researcher Award

Researcher at Royal Military College of Canada, Canada.

🌍Nordine Quadar is an accomplished researcher and technical leader specializing in electrical and computer engineering, cybersecurity, machine learning, and wireless communications. His expertise spans developing optimized algorithms for hardware-restricted devices, advancing AI capabilities in natural language processing, and enhancing cybersecurity for UAVs and IoT systems. He has a proven ability to balance high-quality research with leadership roles, including project and team management. His contributions are well-documented through an extensive list of publications in high-impact journals and conferences, emphasizing practical applications of machine learning and cybersecurity.

Profile👤

Education 🎓

🎓PhD in Computer Science (2022–2025) – Royal Military College of Canada, focusing on enhancing UAV cybersecurity with edge AI. MASc in Electrical & Computer Engineering (2015–2018) – University of Ottawa, with a thesis on spatial modulation in MIMO-CDMA systems. BASc in Electrical Engineering (2011–2014) – University of Ottawa, specializing in advanced electronic systems and coding.🧬🎓

Experience💼

🩺Cybersecurity Researcher (2023–Present) – Mitacs/Thales: Developed RF fingerprinting techniques for UAV security. Regional Technical Manager (2017–Present) – DC Group: Led teams in high-stakes electrical projects, achieving exceptional client satisfaction. Research Assistant (2022–2023) – Royal Military College of Canada: Advanced automotive network security. Data Scientist Intern (2022–2023) – Xlscout: Enhanced algorithms using NLP for semantic search. 👨‍🔬🌍

Research Interests 🔬

🔬Specializes in Cybersecurity for IoT, UAVs, and AI agents, emphasizing machine learning, NLP, and physical layer security. His work integrates RF Signal Analysis and advanced algorithms to optimize security and communication systems.​ 🌿🧪

Awards and Honors 🏆

🏆Mitacs Accelerate Grant (60,000 CAD) – 2024/2025. Mitacs Accelerate Grant (30,000 CAD) – 2023. DC Group Employee of the Month – 2020. University of Ottawa Excellence Scholarship – 2015-2017​​ 🏆🎉

Conclusion 🔚 

Nordine Quadar is a highly suitable candidate for the Best Researcher Award. His multidisciplinary expertise, combined with his leadership skills and impactful research contributions, make him a strong contender. By continuing to seek recognition and expanding his research collaborations, Nordine can further solidify his status as a leading researcher in his field.

Publications Top Notes 📚

Smart Water Distribution System Based on IoT Networks, a Critical Review

Authors: N. Quadar, A. Chehri, G. Jeon, A. Ahmad

Citations: 23

Year: 2021

Communication and Localization Techniques in VANET Network for Intelligent Traffic System in Smart Cities: A Review

Authors: A. Chehri, N. Quadar, R. Saadane

Citations: 15

Year: 2020

Survey on Localization Methods for Autonomous Vehicles in Smart Cities

Authors: A. Chehri, N. Quadar, R. Saadane

Citations: 14

Year: 2019

Cybersecurity Issues of IoT in Ambient Intelligence (AmI) Environment

Authors: N. Quadar, A. Chehri, G. Jeon, M. M. Hassan, G. Fortino

Citations: 11

Year: 2022

Visual Analytics Methods for Eye Tracking Data

Authors: N. Quadar, A. Chehri, G. Geon

Citations: 6

Year: 2021

IoT-AI/Machine Learning Experimental Testbeds: The Missing Piece

Authors: N. Quadar, M. Rahouti, M. Ayyash, S. K. Jagatheesaperumal, A. Chehri

Citations: 4

Year: 2024

Intrusion Detection Systems in Automotive Ethernet Networks: Challenges, Opportunities, and Future Research Trends

Authors: N. Quadar, A. Chehri, B. Debaque, I. Ahmed, G. Jeon

Citations: 2

Year: 2024

Wireless Security and IoT Device Identification Using RF Fingerprinting and Deep Learning

Authors: N. Quadar, A. Chehri, B. Debaque

Citations: Not yet available

Year: 2024

Permutation Spreading Technique Employing Spatial Modulation for MIMO-CDMA Systems

Authors: N. Quadar, C. D’Amours

Citations: Not yet available

Year: 2018