Sahar Heidari | Landscape Ecology| Women Researcher Award

Dr. Sahar Heidari | Landscape Ecology| Women Researcher Award

Researcher, Iranian Forest and Rangeland Research Institute, Iran

Sahar Heidari Masteali is a distinguished environmental engineer and researcher specializing in natural resources and environmental evaluation. Born in 1987, she earned her Bachelor’s, Master’s, and PhD degrees in Natural Resources Engineering from Ferdowsi University of Mashhad and University of Tehran, Iran. With a passion for environmental sustainability, Sahar has contributed significantly to research in landscape evaluation, water quality, and biodiversity. She has authored numerous scientific articles published in prestigious journals and participated in various research projects. Sahar is recognized for her expertise in software tools such as ArcGIS, SPSS, and R. She is also an active member of the National Elite Foundation and a winner of multiple awards, including the Shahid Tehrani Moghadam Award in 2023.

Publication Profile

Google Scholar

🎓 Education

PhD: Natural Resources Engineering – Environmental Evaluation, University of Tehran, Iran (2022). Master’s: Natural Resources Engineering – Environmental Evaluation, University of Tehran, Iran (2014). Bachelor’s: Environmental Natural Resources Engineering, Ferdowsi University of Mashhad, Iran (2009) Sahar achieved outstanding academic success, ranking first in national exams for both Master’s and PhD admissions. Her thesis work has focused on environmental modeling and landscape evaluation, contributing to her expertise in environmental sustainability.

💼 Experience

Sahar’s experience includes key research roles in various environmental projects. She has worked on ecological vulnerability assessments, environmental degradation models, and biodiversity studies. She collaborated with the University of Tehran and other research institutes on projects focused on forest management, ecological restoration, and the effects of tourism on ecosystems. Sahar’s proficiency with GIS, statistical analysis, and modeling software has enabled her to contribute to impactful projects in environmental protection and sustainable resource management.

🏆 Awards & Honors

Shahid Tehrani Moghadam Award (2023) from the National Elite Foundation. Master’s Entrance Exam Rank 1. PhD Specialized Exam Rank 1. Winner of various academic honors, including a research excellence award in 2015 and funding for numerous research projects. Member of the National Elite Foundation Sahar’s academic excellence and contributions to environmental research have earned her recognition, including prestigious national awards and honors in the field of environmental sciences.

🔬 Research Focus

Sahar’s research interests lie in environmental evaluation, modeling the effects of landscape corridors on water quality, and biodiversity in natural forests. She has studied the impact of forest connectivity on river water quality and has developed models for assessing ecological vulnerability. Sahar also explores the intersection of biotic and abiotic factors in forest ecosystems, applying machine learning for biodiversity assessments. Her work aims to improve sustainable land use practices and ecological conservation, focusing on landscapes in the Caspian Sea Basin and northern Iran.

Conclusion

Sahar Heidari Masteali is a highly deserving candidate for the Women Researcher Award due to her significant contributions to environmental research and her leadership in sustainable solutions. With her continued growth in international collaboration and research visibility, she is poised to make an even more profound impact in her field. The award would not only recognize her exceptional achievements but also encourage the further development of her valuable contributions to environmental sciences.

Publication Top Notes

  • Title: Estimation of tree heights in an uneven-aged, mixed forest in northern Iran using artificial intelligence and empirical models
    Authors: M Bayat, P Bettinger, S Heidari, A Henareh Khalyani, M Jourgholami, …
    Journal: Forests
    Volume & Issue: 11 (3), 324
    Year: 2020

 

  • Title: Ten-year estimation of Oriental beech (Fagus orientalis Lipsky) volume increment in natural forests: a comparison of an artificial neural networks model, multiple linear regression, and empirical models
    Authors: M Bayat, P Bettinger, M Hassani, S Heidari
    Journal: Forestry: An International Journal of Forest Research
    Volume & Issue: 94 (4), 598-609
    Year: 2021

 

  • Title: A combination of biotic and abiotic factors and diversity determine productivity in natural deciduous forests
    Authors: M Bayat, P Bettinger, S Heidari, SK Hamidi, A Jaafari
    Journal: Forests
    Volume & Issue: 12 (11), 1450
    Year: 2021

 

  • Title: Assessing biotic and abiotic effects on biodiversity index using machine learning
    Authors: M Bayat, H Burkhart, M Namiranian, SK Hamidi, S Heidari, M Hassani
    Journal: Forests
    Volume & Issue: 12 (4), 461
    Year: 2021
  • Title: Evaluation and comparison of biodiversity indexes of tree species in Hyrcanian forests (case study: Kheyroud, Ramsar and Neka forests)
    Authors: S Heidari Masteali
    Journal: Journal of Plant Research (Iranian Journal of Biology)
    Volume & Issue: 34 (2), 315-326
    Year: 2021

 

  • Title: Modeling tree growth responses to climate change: a case study in natural deciduous mountain forests
    Authors: M Bayat, T Knoke, S Heidari, SK Hamidi, H Burkhart, A Jaafari
    Journal: Forests
    Volume & Issue: 13 (11), 1816
    Year: 2022

 

  • Title: Comparison between graph theory connectivity indices and landscape connectivity metrics for modeling river water quality in the southern Caspian sea basin
    Authors: Sahar Heidari, Pete Bettinger, Mahmoud Bayat, Bahman Jabbarian
    Journal: Journal of Environmental Management
    Volume & Issue: 328
    Year: 2023

 

  • Title: Projection matrix models: a suitable approach for predicting sustainable growth in uneven-aged and mixed Hyrcanian forests
    Authors: A Salehnasab, HE Burkhart, M Bayat, B Khaleghi, S Heidari, …
    Journal: Sustainability
    Volume & Issue: 14 (11), 6777
    Year: 2022

 

  • Title: Investigating the spatial distribution of parks and urban green space areas in Khomein using landscape approach and Sentinel-2 satellite images
    Authors: M Bagheri, A Ansari, A Kazemi, M Bayat, S Heidari Masteali
    Journal: Scientific-Research Quarterly of Geographical Data (SEPEHR)
    Volume & Issue: 30 (118), 203-216
    Year: 2021

 

  • Title: Effects of different concentrations of nitrate and ammonium in medium on growth of the green algae Scenedesmus quadricauda
    Authors: S Heidari, O Farhadian, NM Soofiani
    Journal: Journal of Fisheries
    Volume & Issue: 64 (1)
    Year: 2011

 

  • Title: Recreation potential assessment at Tamarix forest reserves: A method based on multicriteria evaluation approach and landscape metrics
    Authors: M Bayat, P Bettinger, SH Masteali, SK Hamidi, HU Masood Awan, …
    Journal: Forests
    Volume & Issue: 14 (4), 705
    Year: 2023

 

  • Title: Ten-year estimation of Fagus orientalis Lipsky increment using artificial neural networks model and multiple linear regression Ramsar forests
    Authors: M Bayat, M Hassani, S Heidari
    Journal: Forest Research and Development
    Volume & Issue: 6 (3), 381-394
    Year: 2020

 

  • Title: Investigating structure monitoring indicators for wooden species of Northern forests of Iran
    Authors: S Babaie, M Bayat, M Namiranian, S Heidari Masteali
    Journal: Journal of Wood and Forest Science and Technology
    Volume & Issue: 25 (2), 65-80
    Year: 2018

 

 

 

 

Azam Modares | Supply chain | Best Faculty Award

Dr. Azam Modares | Supply chain | Best Faculty Award

Management, Ferdowsi university of Mashhad Iran

Azam Modares is an accomplished industrial management expert with a Ph.D. in Industrial Management from Ferdowsi University of Mashhad. Specializing in Operations Research, he has developed a deep understanding of mathematical modeling, system dynamics, and supply chain management. Modares is known for his extensive expertise in areas like machine learning, inventory control, and human reliability. He is also proficient in multiple modeling languages and software tools, including UML, BPMN, Matlab, and Arena. With a passion for teaching, Modares has contributed significantly to academic development, teaching numerous courses related to industrial management, operations research, and project management.

Publication Profile

Scopus

Google Scholar

🎓 Education

Ph.D. in Industrial Management – Ferdowsi University of Mashhad (Specialization: Operations Research). Master’s in Industrial Management – University of Guilan (Specialization: Production). Bachelor’s in Industrial Management – University of Tehran His academic journey reflects a profound commitment to research and practical application in the field of industrial management, with particular focus on optimizing operations and systems using mathematical and computational methods.

💼 Experience

Azam Modares has an extensive career in both academia and industry. He has taught various courses in industrial management, operations research, and business process management at the undergraduate level. His work also spans the design and implementation of quantitative models and the application of machine learning to solve complex industrial problems. Modares has worked in the development of rule-based inference systems and the analysis of supply chain dynamics. He is proficient in using software like GAMS, Lingo, and SPSS for modeling and statistical analysis.

🏆 Awards & Honors

Modares has received several prestigious awards, including the Best Paper Award in Operations Research, Research Excellence Award for outstanding contributions in academic research, and Best Educator awards for his exceptional teaching in industrial management. He also earned recognition for his leadership in project management and excellence in quantitative modeling and simulation. His accomplishments highlight his deep impact on both academic and practical advancements in industrial management.

🔬 Research Focus

Azam Modares’s research primarily focuses on system dynamics, inventory control, machine learning applications in industrial settings, and equipment and human reliability. He explores business process management and aims to optimize supply chain systems through mathematical and computational modeling. His work addresses real-world industrial challenges, particularly in the design of efficient decision-making systems and the integration of AI technologies into operations research. Modares also investigates rule-based inference systems to improve management processes.

Conclusion

Azam Modares exhibits a well-rounded profile that highlights significant strengths in teaching, technical skills, and research. His robust academic qualifications, coupled with a comprehensive understanding of industrial management and operations research, position him as a strong candidate for the Best Faculty Award. However, improving his research output and enhancing international collaborations could further elevate his standing in the academic community and broaden the impact of his work.

Publication Top Notes

  • Title: A new supply chain design to solve supplier selection based on internet of things and delivery reliability
    Authors: A Modares, M Kazemi, VB Emroozi, P Roozkhosh
    Journal: Journal of Industrial and Management Optimization
    Volume & Issue: 19 (11), 7993-8028
    Year: 2023

 

  • Title: A vendor-managed inventory model based on optimal retailers selection and reliability of supply chain
    Authors: A Modares, NM Farimani, VB Emroozi
    Journal: Journal of Industrial and Management Optimization
    Volume & Issue: 19 (5), 3075-3106
    Year: 2023

 

  • Title: A new model to design the suppliers portfolio in newsvendor problem based on product reliability
    Authors: A Modares, NM Farimani, VB Emroozi
    Journal: Journal of Industrial and Management Optimization
    Volume & Issue: 19 (6), 4112-4151
    Year: 2023

 

  • Title: Selecting green suppliers by considering the internet of things and CMCDM approach
    Authors: V Bafandegan Emroozi, P Roozkhosh, A Modares, F Roozkhosh
    Journal: Process Integration and Optimization for Sustainability
    Volume & Issue: 7 (5), 1167-1189
    Year: 2023

 

  • Title: Developing a newsvendor model based on the relative competence of suppliers and probable group decision-making
    Authors: A Modares, N Motahari, V Bafandegan Emroozi
    Journal: Industrial Management Journal
    Volume & Issue: 14 (1), 115-142
    Year: 2022

 

  • Title: Application of particle swarm optimization algorithm to aggregate production planning
    Authors: M Ramazanian, A Modares
    Journal: Asian Journal of Business Management Studies
    Volume & Issue: 2 (2), 44-54
    Year: 2011

 

  • Title: A new vendor-managed inventory four-tier model based on reducing environmental impacts and optimal suppliers selection under uncertainty
    Authors: A Modares, NM Farimani, F Dehghanian
    Journal: Journal of Industrial and Management Optimization
    Volume & Issue: 20 (1), 188-220
    Year: 2024

 

  • Title: Evaluate and control the factors affecting the equipment reliability with the approach Dynamic systems simulation, Case study: Ghaen Cement Factory
    Authors: A Modares, V Bafandegan Emroozi, Z Mohemmi
    Journal: Journal of Quality Engineering and Management
    Volume & Issue: 11 (2), 89-106
    Year: 2021

 

  • Title: A new dynamic model to optimize the reliability of the series-parallel systems under warm standby components
    Authors: AMF Saghih, A Modares
    Journal: Journal of Industrial and Management Optimization
    Volume & Issue: 19 (1), 376-401
    Year: 2022

 

  • Title: Applying a multi-criteria group decision-making method in a probabilistic environment for supplier selection (Case study: Urban railway in Iran)
    Authors: A Modares, N Motahari Farimani, V Bafandegan Emroozi
    Journal: Journal of Optimization in Industrial Engineering
    Volume & Issue: 16 (1), 129-140
    Year: 2023

 

  • Title: A new model to optimize the human reliability based on CREAM and group decision making
    Authors: V Bafandegan Emroozi, A Modares, P Roozkhosh
    Journal: Quality and Reliability Engineering International
    Volume & Issue: 40 (2), 1079-1109
    Year: 2024

 

  • Title: Improving quality and reducing costs in supply chain: The developing VIKOR method and optimization
    Authors: VB Emroozi, M Kazemi, A Modares, P Roozkhosh
    Journal: Journal of Industrial and Management Optimization
    Volume & Issue: 20 (2), 494-524
    Year: 2024

 

 

 

 

 

 

 

 

 

Nidhi Sinha | Cognitive Psychology | Young Scientist Award

Ms. Nidhi Sinha | Cognitive Psychology | Young Scientist Award

PhD in Psychology, Indian Institute of Technology Hyderabad (IITH), India

Nidhi Sinha is a Cognitive Psychologist pursuing a Ph.D. at IIT Hyderabad, specializing in emotion perception using virtual reality and physiological measures. Her academic journey began with an M.Phil. in Psychology at IIT Hyderabad, where she earned the Institute Silver Medal. Nidhi has worked as a visiting research scholar and research volunteer, contributing to cognitive science projects at IIIT Hyderabad and the University of Hyderabad. She has extensive experience working on emotional perception, cognitive development, and mental health, with a focus on psychosis, emotion recognition, and VR applications. Nidhi’s research aims to explore the intersection of cognitive processes and mental health using innovative tools like VR and EDA. She has also contributed to various publications and conferences on mental health, attention networks, and cognitive biases.

Publication Profile

Google Scholar

🎓 Education

Nidhi Sinha holds a Ph.D. in Cognitive Psychology from IIT Hyderabad, where she conducted research on emotion perception using virtual reality and physiological measures. She also earned an M.Phil. in Psychology from IIT Hyderabad, securing an impressive CGPA of 9.75 and receiving the Institute Silver Medal. Nidhi’s journey in higher education began with a Master of Arts in Applied Psychology from Lovely Professional University (LPU), where she achieved a CGPA of 9.96 and was awarded the University Gold Medal. Her academic pursuits have revolved around cognitive sciences, emotion recognition, and mental health. Nidhi has also contributed to various research projects and gained hands-on experience through internships and collaborations with renowned institutions like the University of Hyderabad and IIIT Hyderabad. This strong academic foundation has paved the way for her innovative research and publications in the field of cognitive psychology.

💼 Experience

Nidhi Sinha’s research and teaching experience spans multiple esteemed institutions. As a Ph.D. candidate at IIT Hyderabad, Nidhi has focused on emotion perception and attentional control, collaborating with leading scientists in the field. Her role as a visiting research scholar at IIIT Hyderabad’s Cognitive Science Lab allowed her to delve deeper into understanding the cognitive aspects of emotional processing. Nidhi’s experience also includes internships at the University of Hyderabad’s Center for Neural and Cognitive Sciences, where she honed her skills in experimental techniques like eye tracking. She has worked on projects involving mental health at ASHA Hospital and has contributed to clinical research at NIMHANS, where she provided Cognitive Behavioral Therapy (CBT). Additionally, Nidhi has volunteered for research projects in user engagement at IIT Hyderabad’s Department of Computer Science and has served as a teaching assistant, assisting in preparing lectures and academic assessments for postgraduate courses.

🏆 Awards & Honors

Nidhi Sinha has earned numerous accolades for her outstanding academic achievements and contributions to research. She was awarded the Institute Silver Medal for her exceptional performance in M.Phil. Psychology at IIT Hyderabad. Nidhi also received the University Gold Medal during her Master’s in Applied Psychology at LPU, where she achieved the highest CGPA of 9.96. In recognition of her groundbreaking work, Nidhi was honored with the “Early Career Research Award” from the Science and Engineering Research Board (SERB) in 2017. Her significant contributions to mental health research have earned her several opportunities to collaborate internationally. Nidhi’s research has been featured in prestigious journals, and she has presented her work at multiple conferences. Her dedication to advancing knowledge in cognitive psychology and mental health earned her recognition as an expert reviewer for various academic platforms, including APS, Psychosis, and IGI Publishers.

🔬 Research Focus

Nidhi Sinha’s research focuses on emotion perception, cognitive processes, and mental health, particularly within the realms of cognitive psychology and affective computing. Her Ph.D. research at IIT Hyderabad explores how virtual reality (VR) and physiological measures, such as electrodermal activity (EDA) and photoplethysmogram (PPG), can assess emotional responses in individuals. She is particularly interested in how attention networks are disrupted in mood disorders like depression and how these cognitive networks influence emotional regulation. Nidhi’s work has also extended to understanding the experiences of individuals with auditory verbal hallucinations (AVH), a common symptom in psychiatric conditions like schizophrenia. By using tools like VR, EDA, and eye tracking, Nidhi investigates how cognitive biases and attentional control mechanisms contribute to mental health disorders. Her research aims to innovate psychological assessments and improve mental healthcare by integrating modern technologies, such as VR, with traditional diagnostic tools. Nidhi has contributed to various interdisciplinary research projects, focusing on improving cognitive assessments in clinical settings.

📝Conclusion

Nidhi Sinha’s strong academic and research credentials, coupled with her interdisciplinary approach and innovative contributions to cognitive psychology and technology, make her an excellent candidate for the Young Scientist Award. Her research has the potential to significantly impact the fields of mental health and emotion recognition, particularly in integrating virtual reality and physiological measures. With continued growth in interdisciplinary collaborations and global research visibility, she is poised to make even more significant contributions to the scientific community.

Publication Top Notes

  • Title: Stress and worry in the 2020 coronavirus pandemic: Relationships to trust and compliance with preventive measures across 48 countries in the COVIDiSTRESS global survey
    Authors: A Lieberoth, SY Lin, S Stöckli, H Han, M Kowal, R Gelpi, S Chrona, et al.
    Journal: Royal Society Open Science
    Volume & Issue: 8 (2), 200589
    Year: 2021
  • Title: COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak
    Authors: Y Yamada, DB Ćepulić, T Coll-Martín, S Debove, G Gautreau, H Han, et al.
    Journal: Scientific Data
    Volume & Issue: 8 (1), 3
    Year: 2021
  • Title: Introducing gamification for advancing current mental healthcare and treatment practices
    Author: N Sinha
    Book Title: IoT in Healthcare and Ambient Assisted Living, 223-241
    Year: 2021
  • Title: What networks of attention are affected by depression? A meta-analysis of studies that used the attention network test
    Authors: N Sinha, S Arora, P Srivastava, RM Klein
    Journal: Journal of Affective Disorders Reports
    Volume & Issue: 8, 100302
    Year: 2022
  • Title: Affective computing and emotion-sensing technology for emotion recognition in mood disorders
    Author: N Sinha
    Book Title: Enhanced Telemedicine and e-Health: Advanced IoT Enabled Soft Computing
    Year: 2021
  • Title: Understanding the effects of unemployment in Indian graduates: Psychological, financial and social perspectives
    Author: N Sinha
    Journal: Psychological Studies
    Volume: 63, 315-324
    Year: 2018
  • Title: Using virtual reality in college student mental health treatment
    Author: N Sinha
    Book Title: Current and Prospective Applications of Virtual Reality in Higher Education
    Year: 2021
  • Title: Living with voices: A thematic analysis of individuals’ experiences of voice-hearing in India
    Authors: N Sinha, S Ranganathan
    Journal: Psychosis
    Volume & Issue: 12 (2), 115-127
    Year: 2020
  • Title: Global Mental Health Movement: Need for a cultural perspective
    Author: N Sinha
    Journal: Indian Journal of Medical Ethics
    Year: 2023
  • Title: Affective Computing in Mood Disorders: Beyond Conventional Diagnostic Tools to Modern Technologies
    Authors: N Sinha, P Srivastava, MP Ganesh
    Book Title: Affective Computing for Social Good: Enhancing Well-being, Empathy, and …
    Year: 2024
  • Title: Student Notebook: Beginning Your Collaborative Writing Journey
    Author: N Sinha
    Journal: APS Observer
    Volume: 36
    Year: 2023
  • Title: An evaluation on existential crisis of Filipinos during the COVID-19 pandemic crisis
    Authors: Y Yamada, DB Ćepulić, T Coll-Martín, S Debove, G Gautreau, H Han, et al.
    Journal: Frontiers in Psychology
    Year: 2021
  • Title: Political Cognition: The Unconscious Mechanisms Underlying Political Beliefs and Action
    Author: N Sinha
    Book Title: The Psychology of Political Behavior in a Time of Change, 235-246
    Year: 2021
  • Book Review: J. Bargh: Before You Know It: The Unconscious Reasons We Do What We Do
    Author: N Sinha
    Journal: Psychological Studies
    Volume & Issue: 65 (1), 97-99
    Year: 2020
  • Title: Women in the asylum: Understanding the medicalization and kinship in Indian psychiatric care
    Author: N Sinha
    Journal: Journal of Community & Applied Social Psychology
    Volume & Issue: 28 (5), 378-381
    Year: 2018
  • Title: Listening To The Voices: A Qualitative Study Of The Experiences Of Hearing Voices In Individuals With Auditory Hallucinations
    Authors: N Sinha, S Ranganathan
    Institution: Indian Institute of Technology Hyderabad
    Year: 2018

 

 

 

 

 

 

Nüveyre Canbolat | Inorganic | Best Researcher Award

Ms. Nüveyre Canbolat | Inorganic | Best Researcher Award

Research Assistance, Gazi Üniversity Turkey

Nuveyre Canbolat is a Research Assistant in Inorganic Chemistry at Gazi University, with expertise in both theoretical and synthetic chemistry. Her research spans various domains, from Quantum Chemistry to Biophysics, and she has developed an interest in computational chemistry and machine learning applications. In 2021, she founded RIASEARCH, a chemical software company, aiming to advance these areas. She was awarded a government scholarship in 2024 for her PhD in hydrogen and fuel cell research, building on her master’s thesis. With diverse experiences in industry and academia, she is committed to bridging the gap between theoretical research and practical applications.

Publication Profile

Orcid

🎓 Education

Nuveyre Canbolat holds an MSc in Chemistry from Bilkent University (2016-2018), with a thesis on the synthesis and characterization of silver phosphate as a photocatalyst. She earned a BS in Chemistry from the same university in 2016, graduating second in her class with a GPA of 3.79/4.00. During her academic journey, she also received financial support for research projects, including work on metal phosphates for energy storage and sulfonylureas as ALS enzyme inhibitors, under renowned professors at Bilkent.

💼 Experience

Nuveyre Canbolat is the founder of RIASEARCH Chemical Software Company (2021-present), specializing in chemical software and algorithms. She has served as a Research and Teaching Assistant at Gazi University since 2018, teaching General Chemistry, Inorganic Chemistry, and Analytical Chemistry, while conducting research in the same areas. Previously, she worked as a Research Assistant at Bilkent University (2016-2018), where she focused on Quantum Chemistry and Inorganic Chemistry courses. Her summer internships included research at Greifswald University’s Department of Biophysics and TAI, Turkish Aerospace Industry, where she studied material properties.

🏆 Awards & Honors

Nuveyre Canbolat has received various honors during her academic career, including a full government scholarship in 2024 to pursue PhD research on hydrogen and fuel cells. She ranked second in her graduating class at Bilkent University and received financial support for several research projects, including one from TUBITAK. Additionally, her research work, including the synthesis of metal phosphates and sulfonylureas, has been recognized at national and international conferences, with several published articles in peer-reviewed journals.

🔬 Research Focus

Nuveyre Canbolat’s research focuses on inorganic chemistry, computational chemistry, and machine learning applications. She has worked on the synthesis and characterization of metal phosphates for energy storage, photocatalysis, and hydrogen-related technologies. Her current research includes the development of sulfonylureas as ALS enzyme inhibitors and the exploration of hydrogen fuel cells. She also conducts molecular docking studies to understand enzyme inhibition and drug design. As a founder of RIASEARCH, she aims to integrate software development with chemical research for more effective simulations and solutions.

Conclusion

Nuveyre Canbolat is a highly skilled and promising researcher whose background in inorganic chemistry, machine learning, and computational applications positions him as a valuable contributor to the field. His innovative research, entrepreneurial efforts, and academic achievements make him an excellent candidate for the Best Researcher Award. With continued dedication to expanding his international collaborations and enhancing his research output, Canbolat is poised to become a leading figure in his field, driving forward advancements in both scientific discovery and applied technologies.

Publication Top Notes

Title: Sulfonyl hydrazone derivatives containing acetonaphthone as anticholinesterase inhibitors for the treatment of Alzheimer’s: X-ray single-crystal analysis, and multifaceted theoretical calculations
Journal: Journal of Molecular Structure
Publication Date: December 2024
DOI: 10.1016/j.molstruc.2024.139311
Contributors: Ümmühan Özdemir Özmen, Saliha Alyar, Esra Bilen Ayan, Nüveyre Canbolat, Fatma Hamurcu, Hamit Alyar, Sinan Mithat Muhammet, Kerem Kaya

 

 

Larisa Dunai | biotechnology | Best Researcher Award

Prof. Larisa Dunai | biotechnology | Best Researcher Award

Professor, Universitat Politècnica de València Spain

Prof. Larisa Dunai is a renowned academic at the Universitat Politècnica de València, specializing in graphical engineering. She has been a Professor Titular (Associate Professor) since 2006. Her academic journey began at the Universitatea Tehnică a Moldovei, where she earned degrees in Radioelectronics and Telecommunications. With a passion for advancing the field, Prof. Dunai has made significant contributions to education and research in engineering. Her work spans various aspects of graphical engineering, and she is an active member of IEEE. She has consistently engaged in academic leadership, focusing on innovative approaches in her field.

Publication Profile

Scopus

Orcid

Google Scholar

🎓 Education

Prof. Larisa Dunai holds a Doctorate in Graphic Engineering from the Universitat Politècnica de València (2010). She earned a Master’s degree in Radioelectronics and Telecommunications from the Universitatea Tehnică a Moldovei (2004), following her undergraduate degree in the same field (2003). Her academic foundations in telecommunications and graphic engineering have led to an exceptional career dedicated to teaching, research, and technological advancement in these domains.

💼 Experience

Prof. Dunai has been a Professor Titular (Associate Professor) in the Department of Graphic Engineering at the Universitat Politècnica de València since 2006. Her expertise encompasses radioelectronics, telecommunications, and graphical engineering. She has made significant contributions through her research and teaching, focusing on innovative techniques in engineering design and graphic visualization. Prof. Dunai is also a prominent member of IEEE, contributing to the academic community and working to advance the field of engineering through education, publications, and professional involvement.

🏆 Awards & Honors

Throughout her career, Prof. Larisa Dunai has been recognized for her excellence in teaching and research. She has received numerous academic awards and honors, including recognition for her contributions to the field of graphic engineering. As an active member of IEEE, she is respected for her leadership in the engineering community. Prof. Dunai’s dedication to education and research has had a lasting impact on her students and the broader scientific community.

🔬 Research Focus

Prof. Dunai’s research is centered on the integration of graphic engineering, telecommunications, and radioelectronics. She is particularly interested in the application of graphic techniques to solve complex engineering problems and enhance technological advancements. Her research explores innovative methods in graphical visualization, as well as the development of new systems and applications in telecommunications. Prof. Dunai’s work has been instrumental in advancing the practical application of engineering principles in various industries.

Conclusion

Professor Larisa Dunai is a highly accomplished and influential researcher whose expertise in engineering, particularly graphic engineering and telecommunications, positions her as a strong contender for the Best Researcher Award. Her academic achievements, professional experience, and involvement in global research networks make her an outstanding candidate. By expanding her collaborative efforts and enhancing her international profile, Professor Dunai has the potential to make even greater strides in her field, contributing to the advancement of technology and engineering on a global scale.

Publication Top Notes

  • Dispositivo de navegación para personas invidentes basado en la tecnología time of flight
    • Year: 2013
    • Authors: I Lengua, L Dunai, G Peris Fajarnés, B Defez
    • Citation: 21*
  • Automatic classification of winding asymmetries in wound rotor induction motors based on bicoherence and fuzzy C-means algorithms of stray flux signals
    • Year: 2021
    • Authors: MEI Martínez, JA Antonino-Daviu, PF de Córdoba, JA Conejero, L Dunai
    • Citation: 19
  • Virtual sound localization by blind people
    • Year: 2015
    • Authors: L Dunai, I Lengua, G Peris-Fajarnés, F Brusola
    • Citation: 16
  • E-learning in industrial electronics during covid-19
    • Year: 2021
    • Authors: L Dunai, J Martins, K Umetani, O Lucia, Y Ibrahim, GK Appuhamillage
    • Citation: 15
  • Data fusion system for electric motors condition monitoring: an innovative solution
    • Year: 2023
    • Authors: RA Osornio-Rios, I Zamudio-Ramírez, AY Jaen-Cuellar, J Antonino-Daviu, …
    • Citation: 13
  • Face detection and recognition application for Android
    • Year: 2015
    • Authors: M Chillaron, L Dunai, GP Fajarnes, IL Lengua
    • Citation: 13
  • Velocity vector (3D) measurement for spherical objects using an electro-optical device
    • Year: 2011
    • Authors: E Lluna, V Santiago, B Defez, L Dunai, G Peris-Fajarnes
    • Citation: 12
  • Diseño de un exoesqueleto de extremidades inferiores
    • Year: 2019
    • Authors: L Dunai, I Lengua, G Peris Fajarnes, B Defez Garcia
    • Citation: 10
  • Interaural time difference thresholds as a function of frequency
    • Year: 2013
    • Authors: WM Hartmann, L Dunai, T Qu
    • Citation: 10
  • Detection of uniform gearbox wear in induction motors based on the analysis of stray flux signals through statistical time-domain features and dimensionality reduction techniques
    • Year: 2022
    • Authors: I Zamudio-Ramirez, JJ Saucedo-Dorantes, J Antonino-Daviu, …
    • Citation: 9
  • Tracking of high-order stray-flux harmonics under starting for the detection of winding asymmetries in wound-rotor induction motors
    • Year: 2021
    • Authors: I Zamudio-Ramirez, JA Antonino-Daviu, RA Osornio-Rios, L Dunai
    • Citation: 9
  • Sound map generation for a prototype blind mobility system using multiple sensors
    • Year: 2008
    • Authors: NO Araque, L Dunai, F Rossetti, L Listi, M Mirmehdi, JLG Mora, …
    • Citation: 9
  • Stray flux analysis for the detection of rotor failures in wound rotor induction motors
    • Year: 2019
    • Authors: J Antonino-Daviu, I Zamudio-Ramírez, RA Osornio-Ríos, V Fuster-Roig, …
    • Citation: 8
  • Electronic travel aid systems for visually impaired people
    • Year: 2011
    • Authors: L Dunai, G Peris Fajarnes, S Praderas
    • Citation: 8
  • Cognitive aid system for blind people (CASBliP)
    • Year: 2009
    • Authors: VS Praderas, N Ortigosa, L Dunai, GP Fajarnes
    • Citation: 8
  • Automatic Classification of Field Winding Faults in Synchronous Motors based on Bicoherence Image Segmentation and Higher Order Statistics of Stray Flux Signals
    • Year: 2023
    • Authors: MEI Martínez, JG Carmenate, J Antonino-Daviu, L Dunai, CA Platero, …
    • Citation: 7

 

Niko Nagengast| Sustainable Product (Systems) Engineering | Young Scientist Award

Mr. Niko Nagengast| Sustainable Product (Systems) Engineering | Young Scientist Award

Phd candidate, University Bayreuth, Germany

Niko David Nagengast is a Ph.D. candidate specializing in sports technology, complex systems engineering, and sustainable design. He is currently pursuing joint Ph.D. research at Deakin University and the University of Bayreuth, focusing on biomechanical optimization, sustainability, and additive manufacturing. Niko has a background in sports engineering and has gained practical experience through various research assistant roles, including material scaling and product development. He is passionate about creating functional, environmentally sustainable products and systems, applying his technical expertise to engineering, design, and social innovation. Niko is also an active participant in charitable events and initiatives supporting global communities.

Publication Profile

Scopus

Google Scholar

🎓 Education

Niko’s education includes a Bachelor of Sports Engineering from Otto-von-Guericke University, followed by a Master’s in Sports Technology at the University of Bayreuth. He is currently a Ph.D. candidate at both Deakin University and the University of Bayreuth. His studies emphasize complex system engineering, sustainable product design, and mechatronics. Niko has also participated in various specialized programs, such as a parametric design course in Madrid and model-based system engineering training.

💼 Experience

Niko has a diverse professional background, including roles as a research assistant at multiple universities and in the technology sector. He has worked on projects related to sustainable product development, additive manufacturing, and biomechanics. His freelance work includes collaboration with companies like Headis GmbH and Aevolution. Niko has also contributed to product designs in various industries, including fitness equipment, material scaling, and sensor system development for chairs. Additionally, he has worked as a technical assistant for the Austrian Ski Association and supported the Austrian Alpine World Cup team.

🏆 Awards & Honors

Niko has earned recognition for his work, including 2nd place in the Red Bull Basement innovation challenge and head organizing charity events raising significant funds for global causes. His contributions have extended to charity projects focused on disaster relief, such as a bicycle ride after an earthquake in Mozambique and resource acquisition efforts in Ecuador and Germany. Niko’s dedication to social responsibility complements his academic and professional pursuits.

🔬 Research Focus

Niko’s research focuses on sustainable engineering, additive manufacturing, and biomechanical optimization. He is developing algorithmic workflows for designing optimized hand ortheses, sustainable product design tools, and evaluating component recycling. His work also includes assessing mechatronic systems in sports technology and the environmental impact of products. Niko explores integrating parametric design principles to create functional and eco-friendly solutions, with an emphasis on material efficiency, system engineering, and sustainable development in sports-related applications.

Conclusion

Niko Nagengast is a promising young scientist whose academic and professional endeavors have already made meaningful contributions to sustainable product design, sports technology, and biomechanics. His innovative approach, combined with his strong technical skills and commitment to sustainability, makes him a strong candidate for the Young Scientist Award. By continuing to expand his interdisciplinary collaborations and engaging more with international research communities, Niko has the potential to become a leading figure in the fields of engineering and sustainable design.

Publication Top Notes

  1. A Combined Reverse Engineering and Multi-Criteria Decision-Making Approach for Remanufacturing a Classic Car Part
    • Year: 2023
    • Authors: AC Kyaw, N Nagengast, C Usma-Mansfield, FK Fuss
    • Citation: 11
  2. Thermo-mechanical recyclability of additively manufactured polypropylene and polylactic acid parts and polypropylene support structures
    • Year: 2023
    • Authors: N Nagengast, C Bay, F Döpper, HW Schmidt, C Neuber
    • Citation: 9
  3. A Review of Biomechanical and Physiological Effects of Using Poles in Sports
    • Year: 2023
    • Authors: M Saller, N Nagengast, M Frisch, FK Fuss
    • Citation: 6
  4. Design for sustainable additive manufacturing (DfsAM): preparation and validation of a transversely isotropic simulation model for FFF components made from virgin and recycled materials
    • Year: 2023
    • Authors: N Nagengast, T Scharl, M Frisch, C Neuber, H Ruckdäschel, HW Schmidt, …
    • Citation: 3
  5. Environmental Assessment of Recycled Petroleum and Bio-Based Additively Manufactured Parts via LCA
    • Year: 2022
    • Authors: C Bay, N Nagengast, HW Schmidt, F Döpper, C Neuber
    • Citation: 2
  6. Multi-Domain Assessment of Thermomechanical Recycling Based on Bio-Based and Petroleum-Based Additively Manufactured Components
    • Year: 2025
    • Authors: N Nagengast, N Mandel, C Bay, F Döpper, C Neuber, HW Schmidt, …
    • Citation: Not yet cited
  7. A Multi-Criteria Decision-Making Approach to Implement Renewable Energy System into Sport Facilities
    • Year: 2024
    • Authors: N Nagengast, C Usma-Mansfield, A Kopf, FK Fuss, W Schellong
    • Citation: Not yet cited
  8. A Product-Driven Sustainability Guideline–Methodological Conception and Implementation Based on a Lifestyle Sports Shoe
    • Year: 2024
    • Authors: N Nagengast, L Tapprich, FK Fuss
    • Citation: Not yet cited
  9. An Explorative Study on Sustainable Surfboard Technology: From State-of-the-Art Literature to Interdisciplinary Integration
    • Year: 2024
    • Authors: N Nagengast, C Usma-Mansfield, FK Fuss
    • Citation: Not yet cited
  10. Vibration Analysis of Various Wooden Ski Cores Using Laser Vibrometry
    • Year: 2024
    • Authors: M Frisch, N Nagengast, FK Fuss
    • Citation: Not yet cited
  11. Detection of Muscle Contractions Using Pressure Sensor Arrays
    • Year: 2024
    • Authors: T Scharl, N Nagengast, L Rheinheimer, K Schmitt, R Wegner, FK Fuss
    • Citation: Not yet cited

 

Ferdib Al Islam | Machine Learning | Excellence in Research

Mr. Ferdib Al Islam | Machine Learning | Excellence in Research

Assistant Professor, Northern University of Business and Technology Khulna Bangladesh

Ferdib-Al-Islam is an Assistant Professor at Northern University of Business and Technology Khulna, Bangladesh. He holds a Master’s and Bachelor’s degree in Computer Science and Engineering from Khulna University of Engineering & Technology (KUET) and Bangabandhu Sheikh Mujibur Rahman Science and Technology University (BSMRSTU), respectively. His research expertise encompasses Machine Learning, Deep Learning, IoT, Data Science, and Computer Vision. Ferdib’s career includes experience as a software engineer in IoT R&D and lecturer roles, contributing significantly to academic and research pursuits.

Publication Profile

Google Scholar

🎓 Education

M.Sc. Eng. in Computer Science and Engineering from KUET (2023) – GPA: 3.50. B.Sc. Eng. in Computer Science and Engineering from BSMRSTU (2018) – GPA: 3.55. HSC in Science from Govt. PC College, Bagerhat (2012) – 5.00. SSC in Science from Bagerhat Govt. Secondary School (2010) – 5.00

💼 Experience

Ferdib has progressed from an intern to a Senior Lecturer, and now an Assistant Professor at Northern University of Business and Technology Khulna. He served as a Lecturer in Computer Science and Engineering from March 2020 to January 2024. His career also includes a Jr. Software Engineer role at W3 Engineers Ltd. in the IoT R&D sector. Ferdib brings practical industry experience into his academic roles, fostering innovation and research.

🏆 Awards & Honors

Ferdib has earned notable accolades, including the Gold Award at Semarak International Research Article Competition III 2024 for his work on Autism Spectrum Disorder detection. He also received the Best Paper Award at ICETIS 2021 for his research on Diabetes Mellitus prediction and the Honorable Mention Award at BDML 2020 for his IoT-based health monitoring tool.

🔬 Research Focus

Ferdib’s primary research interests are in Machine Learning, Deep Learning, IoT, Large Language Models, and Computer Vision. His work focuses on the application of AI techniques to healthcare, predictive modeling, and intelligent systems. His aim is to leverage machine learning for real-world applications like healthcare diagnostics, smart monitoring systems, and data-driven insights in various fields.

Conclusion

Ferdib Al-Islam is an exceptional researcher with notable accomplishments in machine learning, deep learning, and IoT. His commitment to advancing knowledge in these areas, demonstrated by his numerous awards and research contributions, marks him as a leading figure in his field. However, fostering greater interdisciplinary collaborations and increasing his global academic presence will be beneficial for his continued growth as a researcher. He is undoubtedly a deserving candidate for the Excellence in Research award, given his dedication, achievements, and potential for further contributions to the scientific community.

Publication Top Notes

  • Prediction of Cervical Cancer from Behavior Risk Using Machine Learning Techniques
    • Year: 2021
    • Authors: L Akter, Ferdib-Al-Islam, MM Islam, MS Al-Rakhami, MR Haque
    • Citation: 73
  • An IoT Enabled Health Monitoring Kit Using Non-Invasive Health Parameters
    • Year: 2021
    • Authors: A Das, SD Katha, MS Sadi, Ferdib-Al-Islam
    • Citation: 31
  • Hepatocellular Carcinoma Patient’s Survival Prediction Using Oversampling and Machine Learning Techniques
    • Year: 2021
    • Authors: Ferdib-Al-Islam, L Akter, MM Islam
    • Citation: 21
  • An Enhanced Stroke Prediction Scheme Using SMOTE and Machine Learning Techniques
    • Year: 2021
    • Authors: Ferdib-Al-Islam, M Ghosh
    • Citation: 20
  • Early Identification of Parkinson’s Disease from Hand-drawn Images using Histogram of Oriented Gradients and Machine Learning Techniques
    • Year: 2020
    • Authors: Ferdib-Al-Islam, L Akter
    • Citation: 19
  • Dementia Identification for Diagnosing Alzheimer’s Disease using XGBoost Algorithm
    • Year: 2021
    • Authors: L Akter, Ferdib-Al-Islam
    • Citation: 17
  • COV-VGX: An automated COVID-19 detection system using X-ray images and transfer learning
    • Year: 2021
    • Authors: P Saha, MS Sadi, OFMRR Aranya, S Jahan, FA Islam
    • Citation: 9
  • Detection of Hepatitis C Virus Progressed Patient’s Liver Condition Using Machine Learning
    • Year: 2022
    • Authors: Ferdib-Al-Islam, L Akter
    • Citation: 6*
  • Diabetes Mellitus Prediction and Feature Importance Score Finding Using Extreme Gradient Boosting
    • Year: 2021
    • Authors: L Akter, Ferdib-Al-Islam
    • Citation: 4
  • COV-Doctor: A Machine Learning Based Scheme for Early Identification of COVID-19 in Patients
    • Year: 2022
    • Authors: Ferdib-Al-Islam, M Ghosh
    • Citation: 3*
  • Breast Cancer Risk Prediction Using Different Clustering Techniques
    • Year: 2022
    • Authors: L Akter, M Raihan, M Raihan, M Sarker, M Ghosh, N Alvi, Ferdib-Al-Islam
    • Citation: 3
  • Crop-RecFIS: Machine Learning Classifiers for Crop Recommendation and Feature Importance Scores Calculation
    • Year: 2023
    • Authors: MS Sanim, KM Hasan, MM Alam, MAA Walid, MR Islam
    • Citation: 2
  • Prediction of Dementia Using SMOTE Based Oversampling and Stacking Classifier
    • Year: 2023
    • Authors: Ferdib-Al-Islam, MS Sanim, MR Islam, S Rahman, R Afzal, KM Hasan
    • Citation: 2*
  • An Ensemble Learning Model to Detect COVID-19 Pneumonia from Chest CT Scan
    • Year: 2022
    • Authors: PC Shill
    • Citation: 2

 

 

 

Ahmet Ozen | Pediatric Allergy and Immunology | Best Researcher Award

Prof. Ahmet Ozen | Pediatric Allergy and Immunology | Best Researcher Award

Professor, Marmara University Turkey

Dr. Ahmet Özen is the Chief of the Division of Allergy and Immunology in Pediatrics at Marmara University and Director of the Istanbul Jeffrey Modell Center for Primary Immune Deficiencies. A distinguished researcher, he is renowned for discovering genetic mutations linked to immune dysregulation and CHAPLE disease, leading to FDA approval of pozelimab. With a career dedicated to translational medicine, Dr. Özen founded the Marmara University Işıl Berat Barlan Center for Translational Medicine and plays an active role in the NIAID-MENAT Strategy for Enhanced Research Engagement Program. His groundbreaking work on monogenic IBD networks in Türkiye has shaped new therapeutic pathways, benefiting countless patients globally.

Publication Profile

Google Scholar

🎓 Education

M.D. in Medicine, Marmara University, Istanbul (2000) Residency: Pediatrics, Marmara University (2005) Fellowship: Pediatric Allergy and Immunology, Yeditepe University (2012). Postdoctoral Research: Lab of Immunology, NIAID, NIH, Bethesda, MD (2016) Dr. Özen’s educational journey spans prestigious institutions, where he developed expertise in immunology, pediatrics, and translational medicine. His NIH fellowship catalyzed significant research in immune dysregulation and CHAPLE disease.

💼 Experience

2016–Present: Chief, Division of Allergy & Immunology, Marmara University. 2016–Present: Director, Istanbul Jeffrey Modell Center. 2020–Present: Founder, Işıl Berat Barlan Center for Translational Medicine Dr. Özen’s professional roles reflect leadership in clinical care, research, and education. His transformative contributions to pediatric immunology, particularly through international collaborations, have advanced global health initiatives.

🏆 Awards & Honors

2021: EFIS Diversity Task Force Publication Award. 2021: Turkish Council of Higher Education Award for Excellence in International Collaborations. 2022: Aziz Sancar Award, Health Institutes of Türkiye. 2024: EFIS Eastern Star Award Dr. Özen’s accolades recognize his outstanding achievements in immunological research, collaborations, and pioneering clinical applications.

🔬 Research Focus

Dr. Özen specializes in immune dysregulation, monogenic IBD, and CHAPLE disease. His work includes identifying gene mutations (e.g., CD55, IL37, ST6Galnac1), exploring complement hyperactivation pathways, and developing targeted therapies. His contributions to translational medicine and precision therapy have set benchmarks in pediatric allergy and immunology.

Conclusion

Dr. Özen’s unparalleled achievements in pediatric immunology, combined with his visionary leadership, make him an exemplary researcher deserving of recognition. His commitment to translating complex immunological findings into therapeutic innovations underscores his profound influence on the field. Recognizing Dr. Özen with the Best Researcher Award would not only honor his past accomplishments but also inspire continued excellence and advancement in pediatric allergy and immunology research.

Publication Top Notes

  1. Coronavirus disease 2019 in patients with inborn errors of immunity: an international study
    • Year: 2021
    • Authors: I Meyts, G Bucciol, I Quinti, B Neven, A Fischer, E Seoane, …
    • Citation: 369
  2. Disease evolution and response to rapamycin in activated phosphoinositide 3-kinase δ syndrome: the European Society for Immunodeficiencies-activated phosphoinositide 3-kinase δ study
    • Year: 2018
    • Authors: ME Maccari, H Abolhassani, A Aghamohammadi, A Aiuti, O Aleinikova, …
    • Citation: 320
  3. Heterozygous splice mutation in PIK3R1 causes human immunodeficiency with lymphoproliferation due to dominant activation of PI3K
    • Year: 2014
    • Authors: CL Lucas, Y Zhang, A Venida, Y Wang, J Hughes, J McElwee, M Butrick, …
    • Citation: 303
  4. Long-term follow-up of IPEX syndrome patients after different therapeutic strategies: an international multicenter retrospective study
    • Year: 2018
    • Authors: F Barzaghi, LCA Hernandez, B Neven, S Ricci, ZY Kucuk, JJ Bleesing, …
    • Citation: 284
  5. Clinical and metabolic features of urolithiasis and microlithiasis in children
    • Year: 2009
    • Authors: H Alpay, A Ozen, I Gokce, N Biyikli
    • Citation: 239
  6. A recessive form of hyper-IgE syndrome by disruption of ZNF341-dependent STAT3 transcription and activity
    • Year: 2018
    • Authors: V Béziat, J Li, JX Lin, CS Ma, P Li, A Bousfiha, I Pellier, S Zoghi, S Baris, …
    • Citation: 185
  7. CD55 deficiency, early-onset protein-losing enteropathy, and thrombosis
    • Year: 2017
    • Authors: A Ozen, WA Comrie, RC Ardy, C Domínguez Conde, B Dalgic, ÖF Beser, …
    • Citation: 183
  8. Abatacept as a long-term targeted therapy for LRBA deficiency
    • Year: 2019
    • Authors: A Kiykim, I Ogulur, E Dursun, LM Charbonnier, E Nain, S Cekic, …
    • Citation: 160
  9. Mucus sialylation determines intestinal host-commensal homeostasis
    • Year: 2022
    • Authors: Y Yao, G Kim, S Shafer, Z Chen, S Kubo, Y Ji, J Luo, W Yang, SP Perner, …
    • Citation: 156
  10. A novel approach in allergen-specific immunotherapy: combination of sublingual and subcutaneous routes
    • Year: 2011
    • Authors: S Keles, E Karakoc-Aydiner, A Ozen, AG Izgi, A Tevetoglu, T Akkoc, …
    • Citation: 151

 

Resham Thapa| Soil Science & Agronomy | Best Researcher Award

Dr. Resham Thapa| Soil Science & Agronomy | Best Researcher Award

Belize-Mexico Program Manager, Bonefish & Tarpon Trust, Belize

Resham B Thapa is a dedicated researcher and professional in the field of soil sciences, specializing in sustainable crop production and soil health. He is currently a research professional at the University of Wyoming, where he investigates the use of coal char and biochar as soil amendments to enhance plant growth and soil properties. With a diverse academic background, including a Ph.D. in Soil Sciences and an M.S. in Agricultural Economics, Resham has actively contributed to projects involving sustainable agriculture and environmental management. His interdisciplinary approach integrates environmental sustainability, economic analysis, and scientific innovation.

Publication Profile

Scholar

🎓 Education

Ph.D., Soil Sciences (Minor in Statistics), University of Wyoming, USA (2023): Focus on soil health and sustainable crop production, using coal char and biochar for soil amendment. M.S., Agricultural Economics (Minor in Statistics), University of Wyoming, USA (2020): Analyzed economic risk and return for using pyrolyzed coal as soil amendment. M.A., NGO Studies, Ajou University, South Korea (2010): Focus on community-based development. M.B.S., Master in Business Studies, Tribhuvan University, Nepal (2005): Specialization in financial analysis. B.B.S., Bachelor in Business Studies, Tribhuvan University, Nepal (2001): Focus on financial management.

💼 Experience

Research Professional, School of Energy Resources, University of Wyoming (2023-present): Leads research on soil amendments and plant growth, including experimental setups, data analysis, and publication of results. Graduate Research Assistant, Department of Ecosystem Science & Management, University of Wyoming (2015-2023): Spearheaded agricultural and soil research projects, conducting field experiments and data analysis to improve crop yield. Lecturer, Nagarguna College of Information Technology and Management & Apollo International College, Nepal (2011-2015): Taught and supervised undergraduate students in IT and management fields. Social Mobilization Expert, Renewable Energy Project, Nepal (2007-2008): Conducted feasibility studies and capacity building for solar PV system use in rural communities.

🏆 Awards & Honors

Research Excellence Award, University of Wyoming (2022): Recognition for outstanding research in soil science. Graduate Fellowship, University of Wyoming (2020-2023): Awarded for exceptional academic performance and research contributions. Best Paper Presentation, International Conference on Sustainable Agriculture (2019): Awarded for innovative research on biochar and coal char in agriculture. Young Researcher Award, International Conference on Soil Health (2018): Acknowledged for contributions to sustainable agriculture research. Distinguished Lecturer Award, Apollo International College (2014): Recognized for teaching excellence and student engagement.

🔬 Research Focus

Resham’s research centers on improving soil health and sustainable crop production through innovative approaches like coal char and biochar as soil amendments. His work focuses on enhancing plant growth, increasing crop yields, and improving soil properties in semiarid dryland ecosystems. By studying the effects of these materials on soil’s water-holding capacity, nutrient retention, and bulk density, his research promotes sustainable and climate-smart agriculture. His interdisciplinary studies bridge soil science with economic analysis to optimize agricultural productivity while minimizing environmental impact.

🏅Conclusion

Dr. Addiel U. Perez is an exemplary researcher whose interdisciplinary approach has had a profound impact on fisheries and environmental management in Belize and Mexico. His extensive publication record, coupled with his practical contributions to conservation efforts and stakeholder engagement, make him a standout candidate for the Best Researcher Award. Dr. Perez’s ability to bridge the gap between science, policy, and local communities sets him apart as a leader in the field of socio-ecological research. With continued efforts to expand his research’s reach and impact, Dr. Perez has the potential to further elevate the quality of coastal ecosystem management on an international scale.

Publication Top Notes

  1. Use of stratified cluster sampling for efficient estimation of solid waste generation at household level
    • Year: 2008
    • Authors: MB Dangi, MA Urynowicz, KG Gerow, RB Thapa
    • Citation: 60
  2. An Assessment of Plant Growth and Soil Properties Using Coal Char and Biochar as a Soil Amendment
    • Year: 2024
    • Authors: RB Thapa, RH Coupal, MD Dangi, PD Stahl
    • Citation: 7
  3. Enhancing Corn Yield and Soil Quality in Irrigated Semiarid Region with Coal Char and Biochar Amendments
    • Year: 2024
    • Authors: RB Thapa, S Budhathoki, C Shilpakar, D Panday, B Alsunuse, SX Tang, …
    • Citation: 2
  4. Use of Pyrolyzed Coal as a Soil Amendment: Effect on Plant Growth, Crop Yield, and Soil Health
    • Year: 2023
    • Author: RB Thapa
    • Citation: 1
  5. Effect of coal char concentrations on soil bulk density and soil water-holding capacity
    • Year: 2024
    • Authors: RB Thapa, P Shrestha
  6. UW Researchers Publish Results Assessing Coal Char as a Soil Amendment
    • Year: 2024
    • Author: RB Thapa
  7. Mycorrhizal Fungal Inoculum Potential in Crop Rotation Soil With Different Levels of Irrigation
    • Year: 2024
    • Authors: BTB Alsunuse, N Al-Awwal, S Budhathoki, RB Thapa, M Baidoo, F Zaid, …
  8. Initial greenhouse observations on use of coal char as a soil amendment: Influences on plant growth and soil water holding capacity
    • Year: 2024
    • Authors: RB Thapa, SX Tang, PD Stah
  9. Field Tests of Coal-Derived Soil Amendments Yield Promising Results for UW Researchers
    • Year: 2022
    • Author: PDS Resham B. Thapa

 

Addiel Perez | Conservation and Management | Best Researcher Award

Dr. Addiel Perez | Conservation and Management | Best Researcher Award

Belize-Mexico Program Manager, Bonefish & Tarpon Trust, Belize

Dr. Addiel U. Perez is a Belizean interdisciplinary scientist with over 20 years of experience in socio-ecological research, education, conservation, and fisheries management. His work primarily focuses on Belize and southern Mexico, particularly on coastal communities. He has worked extensively on projects like the recreational-sport fishing of Belize and bonefish migration patterns. Dr. Perez has established strong collaborations with scientists, business owners, fishers, guides, co-managers, NGOs, and governmental departments across Belize, Mexico, and the wider region. His contributions include interdisciplinary studies aimed at improving conservation strategies and sustainable management of fisheries and protected areas. He is dedicated to advancing socio-ecological approaches to conservation with a focus on community engagement and stakeholder collaboration.

Publication Profile

Scopus

Orcid

🎓 Education

Dr. Perez holds a Ph.D. in Ecology and Sustainable Development with an emphasis on Biodiversity Conservation from El Colegio de la Frontera Sur (2019). He also earned a Master of Science in Natural Resources and Rural Development with a specialization in Management and Conservation of Natural Resources (2012) from the same institution. His Bachelor’s degree in Biology was completed at the University of Belize (2005). His academic background is bolstered by advanced seminars in ecology, conservation genetics, statistical methods, and coastal ecosystem management. He has two theses that explore fish migration and recreational fishing in Belize. His interdisciplinary education combines natural and social sciences, providing a broad foundation for his research and conservation work in the region.

💼 Experience

Dr. Perez is currently the Belize-Mexico Program Manager at Bonefish & Tarpon Trust, where he manages socio-ecological research and develops strategic plans for fisheries and conservation management. He has worked with stakeholders across 28 coastal communities in Belize and Mexico, focusing on flats fisheries and the health of coastal habitats. He previously served as a researcher at El Colegio de la Frontera Sur, where he investigated the connectivity of bonefish migration between Mexico and Belize. He has also held roles such as Standards Development Officer at the Belize Tourism Board, Research Assistant at ECOSUR, and Manager/Biologist at the Belize Fisheries Department. His diverse career has involved interdisciplinary methods, community engagement, and strategic planning for sustainable resource management.

🏆 Awards & Honors

Dr. Perez has received several prestigious honors and awards throughout his career. These include recognition from Bonefish & Tarpon Trust, where he has led key strategic initiatives. He also contributed to the development of a regional strategic plan for flats fishery conservation in Belize and Mexico. His work on socio-environmental assessments has been critical in shaping policy decisions in both countries. Notable achievements include presenting his research at regional conferences and leading groundbreaking studies on bonefish migration. He has been instrumental in founding the Belize Flats Fishery Association, furthering efforts for improved conservation and management practices in the region.

🔬 Research Focus

Dr. Perez’s research focuses on socio-ecological studies related to fisheries conservation, particularly the migration of bonefish (Albula spp.) between the Caribbean Sea and tropical estuaries. His work blends biological, ecological, social, and economic approaches to understand and improve fisheries management in Belize and Mexico. Key areas of his research include fishery system assessments, stakeholder engagement, and the development of strategic conservation plans. His interdisciplinary approach integrates natural and social sciences to enhance coastal community resilience, sustainable fisheries practices, and the preservation of marine ecosystems. Dr. Perez’s work aims to foster collaboration among stakeholders for better conservation outcomes in the region’s fishery sectors.

🏅Conclusion

Dr. Addiel U. Perez is an exemplary researcher whose interdisciplinary approach has had a profound impact on fisheries and environmental management in Belize and Mexico. His extensive publication record, coupled with his practical contributions to conservation efforts and stakeholder engagement, make him a standout candidate for the Best Researcher Award. Dr. Perez’s ability to bridge the gap between science, policy, and local communities sets him apart as a leader in the field of socio-ecological research. With continued efforts to expand his research’s reach and impact, Dr. Perez has the potential to further elevate the quality of coastal ecosystem management on an international scale.

Publication Top Notes

  • Evaluation of the Flats Fishery to Formulate and Propose a Regional Strategic Plan to Improve Fisheries and Protected-Area Conservation and Management in the Yucatan Peninsula of Belize and Mexico
    Fisheries Management and Ecology
    Published: December 11, 2024
    DOI: 10.1111/fme.12774
    Contributors: Addiel U. Perez; Aaron Adams

 

  • Stakeholder Engagement as a Core Component of Recreational Marine Fisheries Research, Education, and Conservation
    Fisheries
    Published: August 27, 2024
    DOI: 10.1002/fsh.11166
    Contributors: Aaron J. Adams; Ross Boucek; Justin P. Lewis; Steven M. Lombardo; Addiel U. Perez; JoEllen K. Wilson; Jacob W. Brownscombe; Lucas P. Griffin

 

  • Understanding Pharmaceutical Exposure and the Potential for Effects in Marine Biota: A Survey of Bonefish (Albula vulpes) Across the Caribbean Basin
    Chemosphere
    Published: February 2024
    DOI: 10.1016/j.chemosphere.2023.140949
    Contributors: N.A. Castillo; W.R. James; R.O. Santos; R. Rezek; D. Cerveny; R.E. Boucek; A.J. Adams; T. Goldberg; L. Campbell; A.U. Perez et al.

 

  • Gill Microbiomes Accurately Predict the Geographic Origin of Bonefish (Albula vulpes) When Combined with Machine Learning Models
    Environmental Biology of Fishes
    Published: August 17, 2023
    DOI: 10.1007/s10641-023-01462-6
    Contributors: Lewis J. Campbell; Nicholas A. Castillo; Christopher D. Dunn; Shimana M. Bose; Addiel U. Perez; Juan J. Schmitter-Soto; Sahar Mejri; Ross E. Boucek; Rolando Santos Corujo; Aaron J. Adams et al.

 

  • Cascading Effects of Climate Change on Recreational Marine Flats Fishes and Fisheries
    Environmental Biology of Fishes
    Published: February 2023
    DOI: 10.1007/s10641-022-01333-6
    Contributors: Andy Danylchuk; Lucas P. Griffin; Robert Ahrens; Mike Allen; Ross Boucek; Jacob Brownscombe; Grace A. Casselberry; Sascha Clark Danylchuk; Alex Filous; Tony Goldberg et al.

 

  • Correction to: Cascading Effects of Climate Change on Recreational Marine Flats Fishes and Fisheries
    Environmental Biology of Fishes
    Published: February 2023
    DOI: 10.1007/s10641-022-01349-y
    Contributors: Andy Danylchuk; Lucas P. Griffin; Robert Ahrens; Mike Allen; Ross Boucek; Jacob Brownscombe; Grace A. Casselberry; Sascha Clark Danylchuk; Alex Filous; Tony Goldberg et al.

 

  • Correction to: Viruses of Atlantic Bonefish (Albula vulpes) in Florida and the Caribbean Show Geographic Patterns Consistent with Population Declines
    Environmental Biology of Fishes
    Published: February 2023
    DOI: 10.1007/s10641-022-01342-5
    Contributors: Lewis J. Campbell; Nicholas A. Castillo; Christopher D. Dunn; Addiel Perez; Juan J. Schmitter-Soto; Sahar C. Mejri; Ross E. Boucek; Rolando Santos Corujo; Aaron J. Adams; Jennifer S. Rehage et al.

 

  • The First Examination of the Movements of Flats Fishes to Evaluate the Effectiveness of Marine Protected Areas in Cuba
    Environmental Biology of Fishes
    Published: February 2023
    DOI: 10.1007/s10641-022-01343-4
    Contributors: Fabián Pina-Amargós; Tamara Figueredo-Martin; Addiel Pérez; Yunier Olivera-Espinosa; Aaron Adams

 

  • Viruses of Atlantic Bonefish (Albula vulpes) in Florida and the Caribbean Show Geographic Patterns Consistent with Population Declines
    Environmental Biology of Fishes
    Published: February 2023
    DOI: 10.1007/s10641-022-01306-9
    Contributors: Lewis J. Campbell; Nicholas A. Castillo; Christopher D. Dunn; Addiel Perez; Juan J. Schmitter-Soto; Sahar C. Mejri; Ross E. Boucek; Rolando Santos Corujo; Aaron J. Adams; Jennifer S. Rehage et al.