Reza Hosseini | Remote Sensing | Best Researcher Award

Posted on by Best Paper Award

Mr. Reza Hosseini | Remote Sensing | Best Researcher Award

Assistant Professor at Tarbiat Modares University, Iran

Summary:

Reza Hosseini is a geospatial scientist and GIS developer with extensive experience in applying GIS and WebGIS technologies in transportation and urban planning. With a focus on open geospatial data and GeoAI, his work addresses both practical and theoretical challenges in routing, navigation, and environmental sustainability. His research on urban mobility has been recognized in the geospatial community, and his ongoing projects contribute to advancements in GIS technology and urban accessibility frameworks.

Professional Profile:

👩‍🎓Education:

Mr. Reza Hosseini earned his M.Sc. in Remote Sensing and GIS from Tarbiat Modares University in Tehran, Iran, in 2014, where he studied under the supervision of Prof. Abbas Alimohammadi and co-advisor Prof. Seyedehsan Seyedabrishami, graduating with an overall GPA of 17.08/20. His coursework included topics such as Earth Digital Models, Thermal Remote Sensing, and Advanced GIS, demonstrating his comprehensive grounding in geospatial science. Prior to his master’s, Mr. Hosseini completed his B.Sc. in Geography-Urban Planning at Ferdowsi University of Mashhad, where he maintained a GPA of 15.56/20, marking his entry into the field of geographic information systems (GIS).

🏢 Professional Experience:

Mr. Hosseini has built a strong career as a GIS and WebGIS specialist, with a current position as a WebGIS Developer at Iranab Consulting Engineers in Tehran since 2022. He also served as a Research Assistant at York University in Canada, where he contributed to projects involving urban accessibility and GIS-based mobility solutions. His previous roles include GIS Analyst positions at Nika Rayan Pouya Engineers Company and Ario Sazeh Shegarf Company in Iran, where he honed his skills in spatial data analysis and urban planning support.

Research Interests:

Mr. Hosseini’s research interests focus on Geographic Information Systems (GIS) with specializations in Routing & Navigation, GeoAI in Transportation, and Geospatial Data Science. His work extends to Open-Source GIS Development, Open Geospatial Data, and the application of GIS in transportation planning. His research emphasizes leveraging GIS and geospatial data for sustainable urban mobility, enhanced navigation systems, and open-source GIS frameworks for improved accessibility.

Author Metrics:

Mr. Hosseini has authored several notable publications, including journal articles in Annals of GIS, Computers, Environment and Urban Systems, and ISPRS International Journal of Geo-Information. His work spans topics from data performance analysis in navigation applications to specialized road datasets for pedestrian navigation. Additionally, he has co-authored two books on web-based spatial decision support systems and web GIS applications in transportation. His research and projects have contributed significantly to the development of sustainable GIS solutions and geospatial analytics in the transportation sector.

Top Noted Publication:

  • Title: An efficient method for isolation of murine bone marrow mesenchymal stem cells
    Authors: R. Nadri, S. Soleimani, R. Haji Hosseini, M. Massumi, A. Atashi, …
    Journal: Cells
    Volume: 51
    Pages: 723
    Citations: 260
    Year: 2007
  • Title: An update on human papilloma virus vaccines: history, types, protection, and efficacy
    Authors: Z. Yousefi, H. Aria, F. Ghaedrahmati, T. Bakhtiari, M. Azizi, R. Bastan, …
    Journal: Frontiers in Immunology
    Volume: 12
    Article Number: 805695
    Citations: 120
    Year: 2022
  • Title: Association between hypoadiponectinemia and low serum concentrations of calcium and vitamin D in women with polycystic ovary syndrome
    Authors: S. Mazloomi, F. Sharifi, R. Hajihosseini, S. Kalantari, S. Mazloomzadeh
    Journal: International Scholarly Research Notices
    Year: 2012
    Article Number: 949427
    Citations: 100
  • Title: Suitable conditions for liquid-phase microextraction using solidification of a floating drop for extraction of fat-soluble vitamins established using an orthogonal array …
    Authors: H.R. Sobhi, Y. Yamini, A. Esrafili, R.H.H.B. Abadi
    Journal: Journal of Chromatography A
    Volume: 1196
    Pages: 28-32
    Citations: 86
    Year: 2008
  • Title: Extraction and determination of trace amounts of chlorpromazine in biological fluids using hollow fiber liquid phase microextraction followed by high-performance liquid …
    Authors: H.R. Sobhi, Y. Yamini, R.H.H.B. Abadi
    Journal: Journal of Pharmaceutical and Biomedical Analysis
    Volume: 45
    Issue: 5
    Pages: 769-774
    Citations: 81
    Year: 2007

Conclusion:

Mr. Reza Hosseini is a highly qualified candidate for the Best Researcher Award due to his expertise in GIS and geospatial science, strong educational background, diverse professional experience, and contributions to urban mobility research. His notable publications highlight the significance of his work in advancing GIS technologies and addressing challenges in transportation planning. By fostering interdisciplinary collaborations, expanding research outreach, and developing open-source applications, Mr. Hosseini can further amplify his contributions to the field. His dedication to enhancing urban accessibility and sustainability makes him a deserving candidate for this prestigious award.

 

 

Ivo Draganov | Numerical modeling | Best Researcher Award

Posted on by Best Paper Award

Mr. Ivo Draganov | Numerical modeling | Best Researcher Award

Assistant Professor at University of Ruse, Bulgaria

Summary:

Dr. Ivo Draganov is an accomplished mechanical engineer and academic with over 15 years of experience in both industry and academia. Currently an Assistant Professor at the University of Ruse “Angel Kanchev,” he combines his extensive knowledge of solid mechanics and structural analysis with a passion for teaching and advancing mechanical engineering research. Dr. Draganov’s expertise in the finite element method and his industrial experience contribute to his reputation as a leading specialist in applied mechanics in Bulgaria.

Professional Profile:

👩‍🎓Education:

Dr. Ivo Draganov earned his Ph.D. in Solid Mechanics from the University of Ruse “Angel Kanchev” in 2005, with his research focusing on the Application of Finite Element Method for Investigation of Stress and Strain State in Helical Bodies. He also holds a Master of Science degree in Mechanical Engineering from the same institution (2001), where he specialized in the finite element method, dynamics of machinery, and structural analysis. His master’s thesis focused on the Calculation of Bus Suspension by the Finite Element Method.

🏢 Professional Experience:

Since 2008, Dr. Draganov has been serving as an Assistant Professor at the University of Ruse “Angel Kanchev” in Bulgaria, where he teaches courses in Applied Mechanics, Mechanics of Materials, Finite Element Method, and Applied Theory of Elasticity and Plasticity. Prior to his academic role, he gained substantial experience in industry at Sparky AD in Ruse, Bulgaria, where he held various positions including Department Manager of Industrial Outsourcing, Outsourcing Coordinator, and Designer-Technologist. His responsibilities ranged from managing subcontractor activities and coordinating outsourcing efforts to preparing technological documentation and introducing new technological solutions for production.

Research Interests:

Dr. Draganov’s primary research interests lie in solid mechanics, particularly the application of the finite element method (FEM) for analyzing stress, strain, and structural behavior in complex materials and mechanical systems. His work includes investigating stress distributions and optimizing mechanical components using FEM, as well as exploring applied theory in elasticity and plasticity.

Author Metrics:

Dr. Draganov has authored and co-authored several research papers and technical reports in solid mechanics, primarily focused on FEM applications and structural optimization. His publications contribute to advancements in stress analysis methodologies and the development of practical solutions for mechanical design. Specific author metrics and publication details can be provided upon request.

Top Noted Publication:

Multi-Criteria Calibration of a Thermo-Mechanical Model of Steel Plate Welding in Vacuum

  • Journal: Journal of Manufacturing and Materials Processing
  • Date: 2024-10-05
  • DOI: 10.3390/jmmp8050225
  • Contributors: Ivo Draganov, Venko Vitliemov, Yuliyan Angelov, Stiliyana Mileva, Nikolay Ferdinandov, Danail Gospodinov, Rossen Radev
  • Description: This study presents a calibrated thermo-mechanical model for steel plate welding under vacuum conditions, using a multi-criteria approach to enhance prediction accuracy and application reliability.

Finite Element Modeling and Verification of the Plunge Stage in Friction Stir Welding

  • Journal: Materials Science Forum
  • Date: 2023-08-28
  • DOI: 10.4028/p-x4FWYY
  • Contributors: Ivo Draganov, Danail Gospodinov, Rossen Radev, Nikolay Ferdinandov
  • Description: This paper explores finite element modeling of the plunge stage in friction stir welding, providing insights into the thermal and mechanical behaviors during the initial welding process.

Comparison of Two Numerical Models for Friction Stir Welding

  • Journal: Defect and Diffusion Forum
  • Date: 2022-05-27
  • DOI: 10.4028/p-xbmg1c
  • Contributors: Ivo Draganov, Nikolay Ferdinandov
  • Description: This study compares two numerical models for friction stir welding, evaluating their efficacy in simulating temperature distribution and material flow during the welding process.

Finite Element Modeling of Laser Aluminum Marking

  • Journal: Journal of Physics: Conference Series
  • Date: 2021
  • DOI: 10.1088/1742-6596/1859/1/012017
  • Contributors: Lazov, L., Angelov, N., Draganov, I., Atanasov, A., Lengerov, A., Teirumnieks, E., Balchev, I.
  • Description: This conference paper focuses on the finite element modeling of laser marking on aluminum surfaces, with an emphasis on optimizing marking quality through controlled parameters.

Conclusion:

Dr. Ivo Draganov’s research achievements and academic contributions make him a strong candidate for the Best Researcher Award. His expertise in finite element modeling, particularly in welding and material behavior, addresses key challenges in mechanical engineering and has significant implications for industrial processes. His unique combination of industry experience and academic leadership adds further value to his contributions, positioning him as an influential researcher in applied mechanics. By continuing to expand his research scope and increase his international visibility, Dr. Draganov can enhance his standing as a leading expert in his field, making him a highly deserving candidate for this award.

 

 

Abu Md. Mehdi Hassan | Energy from Waste | Best Researcher Award

Posted on by Best Paper Award

Mr. Abu Md. Mehdi Hassan | Energy from Waste | Best Researcher Award

Professor at Directorate of Secondary and Higher Education, Dhaka, Bangladesh

Summary:

Abu Md. Mehdi Hassan is an accomplished academic and administrator with a deep commitment to advancing science education and renewable energy research in Bangladesh. With decades of experience in teaching and educational leadership, he has influenced countless students and contributed to national research initiatives. His work in renewable energy aims to address Bangladesh’s energy challenges through innovative waste-to-energy conversion processes.

Professional Profile:

👩‍🎓Education:

Mr. Abu Md. Mehdi Hassan completed his Bachelor of Science (B.Sc.) and Master of Science (M.Sc.) degrees in Physics from Chittagong University in Bangladesh, achieving a second-class ranking in both. His secondary education includes a Higher Secondary Certificate (HSC) from Government City College and a Secondary School Certificate (SSC) from Agrabad Government Colony High School, with notable achievements in the sciences.

🏢 Professional Experience:

With over 30 years of experience, Mr. Hassan has made significant contributions to the educational sector in Bangladesh. He currently serves as the Vice Principal at Government City College, Chittagong, where he leads educational planning, administration, and faculty coordination. Prior to this, he held roles including Professor, Associate Professor, Assistant Professor, and Lecturer in Physics under the Ministry of Education, Government of Bangladesh. His expertise lies in delivering lectures, guiding students, and advancing academic strategies for effective teaching and learning. Mr. Hassan also gained early experience as an Executive at Multiport Limited, where he managed sales, client relations, and documentation.

Research Interests:

Mr. Hassan’s research is focused on clean energy solutions and environmental sustainability, with an emphasis on renewable energy sources. His recent studies explore the conversion of agricultural and municipal waste into viable energy sources through processes such as pyrolysis and thermal decomposition. His work provides valuable insights into the kinetics and thermodynamics of solid waste and biomass fuel, contributing to the development of sustainable energy alternatives in Bangladesh.

Top Noted Publication:

  • “A Model Fitting Approach for the Investigation of Thermo-Kinetic Parameters of Rice Straw: A Viable Renewable Energy Resource in Bangladesh”
    Journal: Sustainable Energy Research, 2024.
    DOI: [10.1186/s40807-024-00126-y]
    Contributors: Abu Md. Mehdi Hassan, Bushra Sharf, Md. Ripaj Uddin, Mohammad Nazim Zaman, Md. Nuruzzaman, Hassan Zeb, Farzana Yasmin, Mayeen Uddin Khandaker.
  • “Pyrolysis of Municipal Solid Waste: Kinetics and Thermodynamic Parameters via Coats-Redfern Method”
    Journal: Applied Chemical Engineering, 2024.
    DOI: [10.59429/ace.v7i2.1872]
    Contributors: Abu Hassan, Muhammad Asif, Tariq Hussain, Rida Sajjad, Farzana Yasmin, Mayeen Uddin Khandaker.
  • “Assessing the Potentials of Rice Straws as a Solid Fuel for the Production of Clean Energy”
    Journal: Applied Chemical Engineering, 2024.
    DOI: [10.24294/ace.v7i1.3097]
    Contributors: Abu Md. Mehdi Hassan, Chengxi Yao, Muhammad Asif, Md. Ripaj Uddin, Muhammad Abdullah Al-Mansur, Mayeen Uddin Khandaker, Farzana Yasmin.
  • “Characterization of Municipal Solid Waste for Effective Utilization as an Alternative Source for Clean Energy Production”
    Journal: Journal of Radiation Research and Applied Sciences, 2023.
    DOI: [10.1016/j.jrras.2023.100683]
    Contributors: Abu Md Mehdi Hassan, Muhammad Asif, Muhammad Abdullah Al-Mansur, Md Ripaj Uddin, Sultan J Alsufyani, Farzana Yasmin, Mayeen Uddin Khandaker.
  • “Role of Blended Teaching in Enhancing Effectiveness of Quality of Teaching-Learning Process: An Empirical Study”
    Journal: Journal of Positive School Psychology, 2022.
  • “A Review on Particulate Matter and Heavy Metal Emissions; Impacts on the Environment, Detection Techniques, and Control Strategies”
    Journal: MOJ Ecology & Environmental Sciences, 2021.
    DOI: [10.15406/mojes.2022.07.00239]
    Contributors: Muhammad Asif, Sayyaf Yousuf, Anyiam Ngozi Donald, Abu Md. Mehdi Hassan, Asif Iqbal, Muhammad Adnan Bodlah, Bushra Sharf, Noshaba Noshia.

Conclusion:

Mr. Abu Md. Mehdi Hassan’s dedication to advancing renewable energy research and his impressive background in educational leadership make him a commendable candidate for the Best Researcher Award. His pioneering work in waste-to-energy conversion, coupled with his commitment to education and sustainability, demonstrates his strong potential for future contributions to renewable energy solutions. By continuing to broaden his international collaborations and publishing in high-impact journals, Mr. Hassan could further establish his position as a leading researcher in the field of renewable energy and sustainability. His significant contributions make him an excellent choice for this award.

 

 

Parekh Namrata | Physiotherapy | Research Advancement Paper Award

Posted on by Best Paper Award

Dr. Parekh Namrata | Physiotherapy | Research Advancement Paper Award

Assistant professor at AIMS College of Physiotherapy, India

Summary:

Dr. Namrata Parekh is an accomplished physiotherapist and academician specializing in cardiopulmonary physiotherapy with a strong foundation in clinical practice, academic instruction, and research. She is recognized as an Emerging Researcher, having received the award in 2023 for her contributions to physiotherapy at an international conference. Additionally, she has been awarded a Certificate of Excellence in Peer Reviewing by B.P. International. Beyond her clinical and academic work, Dr. Parekh is certified in multiple advanced techniques, including Pilates, kinesiology taping, and dry needling, underscoring her commitment to holistic and evidence-based physiotherapy practices.

Professional Profile:

👩‍🎓Education:

Dr. Namrata Parekh completed her Bachelor of Physiotherapy (BPT) in 2014 from Government Physiotherapy College, Civil Hospital, Ahmedabad, Gujarat, graduating with 63.33%. She pursued her Master’s in Cardio-Pulmonary Physiotherapy from S.B.B. College of Physiotherapy, V.S. Hospital, Ahmedabad, Gujarat, in 2017, achieving 56.25%. Additionally, Dr. Parekh holds a Diploma in Yoga from Shree Somnath Sanskrit University, Gujarat, earned in 2020, and she is a Certified International Yoga Teacher (200-hour certification).

🏢 Professional Experience:

Dr. Parekh’s teaching career began in 2017 as an Assistant Professor at B.N. Patel College of Physiotherapy, Anand, Gujarat, where she served for over three years. She then joined Aims Physiotherapy College in Thane, Mumbai, in August 2023, where she continues as an Assistant Professor. In clinical practice, she has extensive experience as a Clinical Therapist, working at Mande Physiotherapy and Ayurvedic Clinic in Navi Mumbai and Fortis Hiranandani Hospital, also in Navi Mumbai. Dr. Parekh is currently a full-time Physiotherapy Consultant at Aims Hospital, Dombivali, Mumbai. Her clinical expertise spans cardiopulmonary rehabilitation, musculoskeletal physiotherapy, and neurological physiotherapy, providing comprehensive care across various health settings.

Research Interests:

Dr. Parekh’s research focuses on cardiopulmonary physiotherapy, exercise physiology, obesity management, and rehabilitation techniques, particularly in individuals with distinct body mass indices. She is also interested in exploring innovative physiotherapy interventions to improve functional outcomes in patients with chronic conditions and enhancing physiological assessments in clinical practice.

Top Noted Publication:

“Comparison in Physiological Cost Index in Individual Having Different Body Mass Index”

  • Author: N. Parekh
  • Published in: Advancement and New Understanding in Medical Science, Volume 4
  • Year: 2024
  • Overview: This study explores how body mass index (BMI) affects the physiological cost index (PCI) during physical activities, providing insights into the energy expenditure differences in individuals with varying BMI levels.

“Effect of Cardiac Rehabilitation in Percutaneous Transluminal Coronary Angioplasty (PTCA)”

  • Authors: N. Parekh, C. Badgujar, S. Patel
  • Published in: Indian Journal of Physiotherapy & Occupational Therapy, Volume 16, Issue 4
  • Year: 2022
  • Overview: This research focuses on the role of cardiac rehabilitation in patients undergoing PTCA, analyzing the rehabilitation’s effectiveness in enhancing recovery and functional capacity in post-angioplasty patients.

“Correlation Study Between Body Anthropometric Measurements with Body Fat in Adults”

  • Author: N. Parekh
  • Year: 2020
  • Overview: This study examines the relationship between body measurements and body fat composition in adults, offering valuable data on how anthropometric parameters can predict body fat levels.

“Long Stick Exercise to Reduce Arm and Chest Girth in Obese Female Individuals”

  • Author: N. Parekh
  • Year: 2019
  • Overview: Dr. Parekh investigates the effectiveness of long stick exercises in reducing arm and chest girth in obese women, aiming to identify simple, effective exercise methods for managing obesity-related body measurements.

“Comparison of Blood Pressure in Sitting with Different Arm Positions”

  • Author: N. Shah
  • Published in: International Journal of Therapies and Rehabilitation Research, Volume 5, Issue 4
  • Year: 2016
  • Overview: This article compares blood pressure readings taken in different arm positions while sitting, aiming to standardize protocols for accurate blood pressure measurements.

Conclusion:

Dr. Namrata Parekh’s expertise in cardiopulmonary physiotherapy, dedication to research, and contributions to evidence-based practice make her a strong candidate for the Research Advancement Paper Award. Her focused research on exercise physiology, obesity management, and rehabilitation techniques for chronic conditions addresses critical healthcare needs. By broadening her research scope and publishing in high-impact journals, Dr. Parekh could further establish herself as a thought leader in physiotherapy research. Her achievements and innovative approach position her well to advance the field, making her an excellent contender for this award.

 

 

Dagne Dinagde | Nurse | Best Researcher Award

Posted on by Best Paper Award

Mr. Dagne Dinagde | Nurse | Best Researcher Award

Lecturer at Mattu University Ethiopia

Summary:

Dagne Deresa is a highly accomplished Lecturer at Mattu University, with expertise in midwifery and clinical nursing. He holds a BSc in Health Science (Midwifery) and an MSc in Clinical Midwifery Nursing. With a strong academic background and a commendable record of research, he has authored 16 publications, served as the corresponding author on 12 research projects, and maintains an H-index of 2. His research work has contributed to the understanding of maternal health and midwifery, positioning him as an emerging leader in the field of healthcare.

Professional Profile:

👩‍🎓Education:

Dagne Deresa Dinagde completed his Bachelor of Science (BSc) in Health Science, specializing in Midwifery, from Mattu University on June 27, 2019, graduating with a remarkable CGPA of 3.95. He later pursued a Master of Science (MSc) in Clinical Midwifery Nursing from Arba Minch University, which he successfully completed with distinction on May 11, 2023, achieving a CGPA of 3.58 and receiving a “Very Good” rating for his research work.

🏢 Professional Experience:

Dagne Deresa currently serves as a Lecturer at Mattu University, where he plays an active role in academic and research initiatives in health sciences. As a dedicated educator, he has contributed to the university through teaching, mentoring students, and advancing health-related research. His significant contribution includes serving as the principal investigator or corresponding author in 12 research projects, reflecting his deep commitment to advancing midwifery and health science.

Research Interests:

Dagne’s research primarily focuses on health science, with a special interest in midwifery, maternal health, and clinical midwifery nursing. He is also involved in exploring various other healthcare issues, striving to enhance healthcare outcomes through evidence-based practices. He has demonstrated a strong passion for research, which is evident from his 16 publications in reputable journals.

Author Metrics:

  • H-index: 2
  • Publications: 16
  • Principal Investigator: 12 research projects

Dagne’s continued dedication to advancing health science research and education is supported by his collaborative efforts within the academic community. He remains committed to contributing to healthcare through impactful research and teaching.

Top Noted Publication:

Post COVID-19 Vaccination Side Effects and Associated Factors among Vaccinated Clients in East Africa Region: A Systematic Review and Meta-Analysis

  • Journal: Scientific African (2024, Vol. 26, e02399)
  • Authors: D.D. Dinagde, G.T. Feyisa, B.K. Lahole, M.W. Negash, S.N. Marami
  • Description: This article systematically reviews and analyzes the side effects observed after COVID-19 vaccinations in East Africa, identifying associated factors based on evidence from various studies.

Comparative Study of Neonatal Hypothermia and Associated Factors among Neonates in Rural and Urban Areas of the Shebadino Woreda, Sidama Region, Southern Ethiopia: A Community-Based Comparative Cross-Sectional Study

  • Journal: BMC Public Health (2024, Vol. 24, Issue 1, Article 1945)
  • Authors: G.T. Feyisa, S.N. Marami, D.D. Dinagde, G.W. Kitil, A.K. Biratu
  • Description: This study compares the prevalence of neonatal hypothermia in rural and urban areas, shedding light on associated factors affecting neonatal care in Southern Ethiopia.

Hidden Cost of Hospital-Based Delivery and Associated Factors among Postpartum Women Attending Public Hospitals in Gamo Zone, Southern Ethiopia

  • Journal: BMC Health Services Research (2024, Vol. 24, Issue 1, Article 495)
  • Authors: M.T. Chewaka, G. Ayele, G.Y. Tessema, B.M. Biwota, H.W. Wada
  • Description: This article explores the hidden costs incurred during hospital-based deliveries and the factors influencing these costs, with a focus on postpartum women in Southern Ethiopia.

Geographical Distribution of Emergency Obstetric and Neonatal Care Signal Functions in Ethiopian Health Facilities: 2021–2022 Ethiopian Service Provision Assessment (SPA)

  • Journal: BMC Health Services Research (2024, Vol. 24, Issue 1, Article 409)
  • Authors: D.D. Dinagde, H.W. Wada
  • Description: This research provides an analysis of the geographical distribution of emergency obstetric and neonatal care services in Ethiopia, assessing health facility readiness.

Household Food Insecurity and Associated Factors among Postpartum Women in Southern Ethiopia: A Community-Based Cross-Sectional Study

  • Journal: Scientific Reports (2024, Vol. 14, Issue 1, Article 4003)
  • Authors: D.D. Dinagde, H.W. Wada, M.T. Chewaka
  • Description: This study evaluates the extent of household food insecurity among postpartum women and its contributing factors in Southern Ethiopia.
  • Citations: 1

Conclusion:

Mr. Dagne Dinagde has demonstrated remarkable promise as a healthcare researcher with a strong focus on maternal health and midwifery. His growing publication record, leadership in research projects, and commitment to healthcare education position him as a deserving candidate for the Best Researcher Award. While his research impact is still in its early stages, with targeted improvements in research impact, global collaborations, and policy engagement, Mr. Dinagde has the potential to make substantial contributions to global healthcare and solidify his place as a leading researcher in the field.

 

 

Kent Condie | geochemistry | Best Researcher Award

Posted on by Best Paper Award

Prof. Kent Condie | geochemistry | Best Researcher Award

Emeritus professor at New Mexico Institute of Mining and Technology, United States

Summary:

Dr. Kent C. Condie is a renowned geologist and professor emeritus at the New Mexico Institute of Mining and Technology. With a career spanning over six decades, Dr. Condie is recognized for his pioneering research in geochemistry, plate tectonics, and Precambrian geology. He earned his B.S. and M.A. in geology and mineralogy from the University of Utah and completed his Ph.D. in geochemistry from the University of California, San Diego.

Dr. Condie has made significant contributions to understanding Earth’s early crustal evolution and mantle processes, publishing extensively, including several books and numerous research papers. He has been involved in international research collaborations and editorial roles, including as the chief editor for the Geological Society of America’s book series. His work has earned him numerous accolades, including the prestigious Geological Society of America Penrose Medal in 2018 and an honorary doctorate from the University of Pretoria in 2007.

Professional Profile:

👩‍🎓Education:

  • B.S. in Geology – University of Utah, 1959
  • M.A. in Mineralogy – University of Utah, 1960
    • Thesis: Petrogenesis of the Mineral Range Pluton, Southwestern Utah
  • Ph.D. in Geochemistry – University of California, San Diego, 1965
    • Thesis: Petrology and Geochemistry of the Late Precambrian Rocks of the Northeastern Great Basin

🏢 Professional Experience:

  • University of Utah: Mineralogy Laboratory Instructor, 1957-60
  • Geologist: Utah Geological Survey, 1959; Utah Mining and Construction Company, 1960
  • Washington University: Assistant Professor (1964-1969); Associate Professor (1969-1970)
  • New Mexico Institute of Mining and Technology: Associate Professor (1970-1977); Professor (1977-present), Department of Earth & Environmental Science

Research Interests:

Dr. Condie is renowned for his research on Precambrian geochemistry, crustal evolution, and mantle processes. He has extensively studied trace-element distributions to understand the origins of Earth’s continental crust, with significant contributions to understanding plate tectonics through time.

Major Honors:

  • Distinguished Research Award – New Mexico Tech, 1987
  • Honorary Doctorate – University of Pretoria, South Africa, 2007
  • Penrose Medal – Geological Society of America, 2018
  • Earth Science Achievement Award – New Mexico Bureau of Geology and Mineral Resources, 2023

Professional Societies:

  • Fellow, Geological Society of America
  • Member, American Geophysical Union, Geochemical Society, and American Scientific Affiliation

Top Noted Publication:

Episodic Continental Growth Models: Afterthoughts and Extensions

  • Author: KC Condie
  • Journal: Tectonophysics
  • Volume/Issue: 322 (1-2)
  • Pages: 153-162
  • Year: 2000
  • Citations: 534

Episodic Zircon Age Spectra of Orogenic Granitoids: The Supercontinent Connection and Continental Growth

  • Authors: KC Condie, RC Aster
  • Journal: Precambrian Research
  • Volume/Issue: 180 (3-4)
  • Pages: 227-236
  • Year: 2010
  • Citations: 513

Evolution of the Kaapvaal Craton as Viewed from Geochemical and Sm-Nd Isotopic Analyses of Intracratonic Pelites

  • Authors: BM Jahn, KC Condie
  • Journal: Geochimica et Cosmochimica Acta
  • Volume/Issue: 59 (11)
  • Pages: 2239-2258
  • Year: 1995
  • Citations: 459

Sr, Nd, and Pb Isotopic Systematics in the Archean Low-to High-Grade Transition Zone of Southern India: Syn-Accretion vs. Post-Accretion Granulites

  • Authors: JJ Peucat, P Vidal, J Bernard-Griffiths, KC Condie
  • Journal: The Journal of Geology
  • Volume/Issue: 97 (5)
  • Pages: 537-549
  • Year: 1989
  • Citations: 404

Behavior of Rare Earth Elements in a Paleoweathering Profile on Granodiorite in the Front Range, Colorado, USA

  • Authors: KC Condie, J Dengate, RL Cullers
  • Journal: Geochimica et Cosmochimica Acta
  • Volume/Issue: 59 (2)
  • Pages: 279-294
  • Year: 1995
  • Citations: 403

Conclusion:

Prof. Kent Condie’s distinguished career in geochemistry and geology, marked by his pioneering research, extensive publications, and significant contributions to the understanding of Earth’s crustal evolution, positions him as a strong candidate for the Best Researcher Award. His accomplishments reflect not only personal excellence but also a commitment to advancing the field of geochemistry through education, collaboration, and research. With targeted improvements in interdisciplinary engagement and public outreach, Dr. Condie could further enhance his already impressive legacy and influence in the scientific community.

 

 

Jean-Michel Thurin | psychotherapy | Best Researcher Award

Posted on by Best Paper Award

Dr. Jean-Michel Thurin | psychotherapy | Best Researcher Award

Jean-Michel Thurin at CESP Inserm 1018, GHU psychiatry and neurosciences – Ste Anne, School of psychosomatics, Federation of psychiatry, Society for psychotherapy research, France

Summary:

Dr. Jean-Michel Thurin is a distinguished psychiatrist and psychotherapist with over four decades of experience. His expertise lies in psychodynamic therapy, trauma, and stress-related mental health disorders. He has made significant contributions to psychiatric education and research, particularly in evaluating psychotherapeutic outcomes and understanding the mechanisms of therapeutic change. Dr. Thurin has been an influential figure in psychiatric research coordination and has authored several studies that have shaped the field’s approach to trauma, mental health, and psychotherapy. He is widely regarded for his pioneering work in integrating psychotherapeutic practices with cognitive and clinical sciences.

Professional Profile:

👩‍🎓Education:

  • Doctorate in Cognitive Sciences (2014-2017)
    Thesis on “Characterizing and Understanding the Process of Change in Complex Psychotherapies” focused on 66 children and adolescents with autism spectrum disorders.
    Institution: Université Paris-Descartes, Paris, France
    Doctoral School: Cerveau, Cognition, Comportement (ED 3C)
  • Medical Training
    Internships and residencies in psychiatric services for both children and adults at various institutions, including Hôpital Navarre (Évreux), where he trained in psychiatric clinical practice and legal psychiatry. His training also included experience in emergency medical services such as trauma surgery and cardiac resuscitation.

🏢 Professional Experience:

  • Psychiatrist and Psychotherapist (1977-2024)
    Dr. Thurin has worked in private practice as a psychiatrist and psychotherapist with a psychodynamic orientation, focusing on individual psychotherapies. He also served as a consultant, educator, and supervisor for mental health professionals.
  • Academic and Teaching Roles
    He held multiple educational leadership positions, including:

    • Director of University Diplomas at Paris VI – PitiĂ©-SalpĂŞtrière and Paris V – Paris Descartes, focusing on “Stress, Trauma, and Pathologies” and “Psychotherapies: From Theories to Practices” (2002-2024).
    • Teaching Roles in Psychotraumatology, evaluation of psychotherapeutic practices, and training programs across various institutions, including Paris V, Paris VI, and CrĂ©teil.
  • Research and Coordination Roles
    Dr. Thurin co-coordinated multiple research networks, including the “RĂ©seau Recherches FondĂ©es sur les Pratiques PsychothĂ©rapiques” (Inserm U669, CESP Inserm 1013). His work spanned both theoretical and empirical studies on stress, trauma, and psychosocial adjustment, as well as evaluations of psychotherapies. He also conducted intensive case study research to assess psychotherapeutic processes and outcomes in natural clinical settings.Additionally, he was involved in organizing numerous interdisciplinary conferences and symposia, including those under Inserm’s auspices, and served as editor-in-chief of Pour la Recherche, the journal of the FĂ©dĂ©ration Française de Psychiatrie, from 1994 to 2024.
  • Public Sector and Community Work
    Dr. Thurin contributed to the establishment and coordination of community mental health services, including therapeutic family programs and centers for psychosis and substance abuse treatment. He helped launch a family-centered experimental therapeutic community for psychotic patients in the early 1980s.

Research Interests:

Dr. Thurin’s research is centered around two main axes:

  1. Stress and Biopsychosocial Adjustment
    He explores the mechanisms through which stress and trauma affect mental health, leading to various pathologies.
  2. Evaluation of Complex Psychotherapies
    His work focuses on identifying the factors and mechanisms underlying change in psychotherapeutic treatments for complex mental health disorders. He has conducted significant research on the process of change in psychotherapies for children and adolescents with autism spectrum disorders.

Author Metrics:

Dr. Thurin’s publications include numerous research articles on psychotherapy evaluation, stress, trauma, and the therapeutic process. He has contributed to the development of clinical guidelines and research methodologies within psychiatric and mental health research communities. His work has been cited in various scholarly papers related to psychodynamic therapies, psychosocial stress, and psychiatric treatments, reflecting his significant influence in both academic and clinical psychiatry

Top Noted Publication:

Psychotherapeutic Approaches for Autism: Preliminary Results from 50 Intensive Case Studies

  • Authors: Thurin, J.-M., Thurin, M., Cohen, D., Falissard, B.
  • Journal: Neuropsychiatrie de l’Enfance et de l’Adolescence
  • Year of Publication: 2014
  • Volume and Issue: 62(2)
  • Pages: 102–118
  • Citations: 16

Does Participation in Research Lead to Changes in Attitudes among Clinicians? Report on a Survey of Those Involved in a French Practice Research Network

  • Authors: Thurin, J.-M., Thurin, M., Midgley, N.
  • Journal: Counselling and Psychotherapy Research
  • Year of Publication: 2012
  • Volume and Issue: 12(3)
  • Pages: 187–193
  • Citations: 10

Psychoanalysis and Systemic Therapy: Distance and Complementarity

  • Authors: Thurin, J.-M., Thurin, M.
  • Journal: Cahiers Critiques de ThĂ©rapie Familiale et de Pratiques de RĂ©seaux
  • Year of Publication: 2010
  • Volume and Issue: 45(2)
  • Pages: 67–89
  • Citations: 1

Research on Psychotherapies for the Addictions: How to Take Part in It?

  • Authors: Thurin, J.-M., Thurin, M.
  • Journal: Psychotropes
  • Year of Publication: 2010
  • Volume and Issue: 16(2)
  • Pages: 49–62

Using Specific Instruments of Research to Characterize a Psychotherapy within the Natural Framework of Practice

  • Authors: Thurin, M., Thurin, J.-M.
  • Journal: Psychotropes
  • Year of Publication: 2010
  • Volume and Issue: 16(2)
  • Pages: 63–83
  • Citations: 3

Conclusion:

Dr. Jean-Michel Thurin is a highly qualified candidate for the Best Researcher Award, with strengths in psychotherapy research, academic leadership, and clinical practice. His work on stress, trauma, and the evaluation of psychotherapeutic processes has had a significant impact, particularly within the French psychiatric community. Enhancing his international research presence and increasing his output of high-impact publications could further solidify his standing as a leading figure in the field. Given his deep expertise and contributions, he is well-suited for consideration for this award.

 

 

Tarik El Moudden | AI | Best Researcher Award

Posted on by Best Paper Award

Mr. Tarik El Moudden | AI | Best Researcher Award

Tarik El Moudden at Ibn Tofail University, Kenitra, Morocco, Morocco

Summary:

Dr. Tarik El Moudden is a Moroccan-based data scientist and AI specialist, currently serving as a Senior Web Application Developer and Data Analyst at Zenithsoft and a lecturer at Ibn Tofail University. He has extensive experience in neural network frameworks, computer vision, and predictive analytics, leveraging tools such as Python, TensorFlow, and Keras. In addition to his research, he is dedicated to mentoring the next generation of AI professionals and data scientists. He combines a strong academic background with hands-on industry experience, working on complex problems in machine learning, AI integration, and big data analytics.

Professional Profile:

👩‍🎓Education:

Dr. Tarik El Moudden earned his Doctorate in Predictive Modeling using AI and Big Data Analysis from the Computer Science Research Laboratory at Ibn Tofail University, Kenitra, Morocco, in 2024. He holds a DESA (DiplĂ´me d’Études SupĂ©rieures Approfondies) in Advanced Study in Telecommunication and Informatics from the same university, completed in 2008. Dr. El Moudden has also pursued a number of professional certifications, including specialized skills in Power BI, Artificial Intelligence (AI), Python, Data Science, Machine Learning, Deep Learning, and Big Data, powered by IBM Developer Skills Network (2024). He holds certifications from NASA’s Applied Remote Sensing Training (ARSET) program, covering large-scale machine learning applications for agriculture solutions and spectral indices for land and aquatic applications. Additionally, he is certified as a Professional Drone Pilot and in Project Management with AI.

🏢 Professional Experience:

Dr. El Moudden has been a Senior Web Application Developer and Senior Data Analyst and AI Models Integration Specialist at Zenithsoft, Rabat, Morocco, from 2020 to 2024. During his tenure, he developed expertise in neural networks, deep learning, and machine learning models for predictive analytics and data-driven solutions. At Ibn Tofail University, he has taught various modules across different levels, such as Power BI, Data Science, Applied Mathematics, Python Programming, and Machine Learning. He has been involved in teaching these subjects at the Master’s and Professional License levels in fields like Big Data, Artificial Intelligence (AI), Engineering, and Applied Mathematics from 2019 to 2024. His teaching portfolio extends to subjects like Numerical Methods with Python for Master’s students in Partial Differential Equations and Complex Geometry, as well as Applied Mathematics and Optimization for Engineering students.

Research Interests:

Dr. El Moudden’s research primarily focuses on AI integration in predictive modeling, machine learning applications for large-scale agriculture solutions, computer vision, neural networks (CNNs, RNNs, GANs), and data analysis. His work spans image classification, object detection, and image segmentation using Python, TensorFlow, Keras, and PyTorch. He is also passionate about exploring AI’s potential in various industry-specific applications, particularly Big Data, deep learning models, and cloud-based solutions through platforms like Microsoft Azure.

Author Metrics:

  • ORCID: 0000-0002-6963-6686
  • Published Articles: Dr. El Moudden has contributed to scientific publications and is a regular reviewer in the fields of AI, predictive analytics, and machine learning. His research focuses on enhancing AI’s impact on real-world applications, particularly in agriculture and big data. He continues to publish research papers in both local and international conferences.

Top Noted Publication:

Artificial intelligence for assessing the planets’ positions as a precursor to earthquake events

  • Authors: T.E. Moudden, M. Amnai, A. Choukri, Y. Fakhri, G. Noreddine
  • Journal: Journal of Geodynamics, 2024, Volume 162, Article 102057
  • This article explores the use of artificial intelligence to analyze planetary positions in relation to earthquake occurrences, contributing valuable insights into the role of celestial mechanics in earthquake prediction.

New unfreezing strategy of transfer learning in satellite imagery for mapping the diversity of slum areas: A case study in Kenitra city—Morocco

  • Authors: T.E. Moudden, M. Amnai, A. Choukri, Y. Fakhri, G. Noreddine
  • Journal: Scientific African, 2024, Volume 24, Article e02135
  • This open access research focuses on a novel transfer learning approach to analyze satellite imagery for detecting slum areas in Kenitra, Morocco. It highlights advancements in AI and satellite technology for urban mapping.

Building an efficient convolution neural network from scratch: A case study on detecting and localizing slums

  • Authors: T.E. Moudden, M. Amnai
  • Journal: Scientific African, 2023, Volume 20, Article e01612
  • This article presents a case study on developing an effective convolutional neural network (CNN) from scratch, specifically designed for slum detection and localization.

Slum image detection and localization using transfer learning: a case study in Northern Morocco

  • Authors: T. El Moudden, R. Dahmani, M. Amnai, A.A. Fora
  • Journal: International Journal of Electrical and Computer Engineering, 2023, Volume 13(3), Pages 3299–3310
  • This article applies transfer learning techniques to detect and localize slums using satellite imagery, focusing on Northern Morocco as a case study.

Nutrient removal performance within the biological treatment of the Marrakech wastewater treatment plant and characterization of the aeration and non-aeration process

  • Authors: M. Tahri, T. El Moudden, B. Bachiri, M. El Amrani, A. Elmidaoui
  • Journal: Desalination and Water Treatment, 2022, Volume 257, Pages 117–130
  • This article investigates the efficiency of nutrient removal during the biological treatment processes at the Marrakech wastewater treatment plant, providing key insights into water treatment technologies.

Conclusion:

Dr. Tarik El Moudden is a deserving candidate for the Best Researcher Award due to his significant contributions to the field of AI, data science, and machine learning, with a strong focus on practical applications in agriculture, urban development, and disaster prediction. His academic achievements, coupled with his industry expertise, reflect a researcher who is poised to make transformative impacts in the AI landscape. With a bit more focus on expanding his international collaborations and enhancing the visibility of his work, Dr. El Moudden’s research can become even more influential in shaping AI’s future in solving complex, real-world problems.

 

 

Cinzia Bandiziol | Mathematics | Best Researcher Award

Posted on by Best Paper Award

Ms. Cinzia Bandiziol | Mathematics | Best Researcher Award

Cinzia Bandiziol at University of Padua, Italy

Summary:

Cinzia Bandiziol is a passionate mathematician with a focus on applying mathematical tools in industrial contexts. Currently a Ph.D. student at the University of Padova, her work involves the use of topological data analysis, particularly Persistent Homology, to solve complex problems in Industry 4.0. She brings a deep analytical mindset, precision, and perseverance to her research, traits that have defined her academic and professional journey. With prior experience as a Data Analyst at Texa Spa, Cinzia blends her love for mathematics with practical applications, striving to bridge the gap between theory and industry. In addition to her research, she enjoys volunteering and tutoring students, helping them overcome challenges in mathematics.

Professional Profile:

👩‍🎓Education:

  • Ph.D. in Mathematical Sciences
    University of Padova (2022 – Ongoing)
    Research focus on the application of topological tools such as Persistent Homology in the context of Industry 4.0, data analysis, and machine learning.
  • M.Sc. in Mathematics
    University of Padova (2015 – 2018)
    Final Score: 110/110 cum laude
    Thesis: “An extension of FHRI to two-dimensional domains”
  • B.Sc. in Mathematics
    University of Padova (2011 – 2015)
    Final Score: 93/110

🏢 Professional Experience:

  • Ph.D. Student, Mathematical Sciences
    University of Padova (2022 – Present)
    Currently focusing on the application of topological tools, such as Persistent Homology, in industrial applications, including Industry 4.0 and machine learning. Extensive experience in programming, numerical approximation, and optimization techniques.
  • Data Analyst
    Texa Spa, Monastier (2018 – 2021)
    Worked on fleet management reports, analyzing statistical and operational data before presenting findings to clients. This role involved significant work in data management, quality control, and statistical analysis.
  • Academic Tutor
    Supported undergraduate students in Matlab-based courses and assisted professors in grading exams, fostering strong connections with students and encouraging academic success in mathematics.

Research Interests:

Cinzia Bandiziol’s research revolves around the application of advanced mathematical methods in real-world industry scenarios. Her primary interests include:

  • Topological Data Analysis (TDA), specifically the use of Persistent Homology in classification and machine learning.
  • Application of numerical approximation techniques and optimization in industrial systems.
  • Development of adaptive gradient methods for training neural networks.
  • Mathematical techniques in Industry 4.0, focusing on data-driven decision-making and automation.

Author Metrics:

Publications:

  • Bandiziol, C., De Marchi, S. (2019). “On the Lebesgue constant of the trigonometric Floater-Hormann rational interpolant at equally spaced nodes.” Dolomites Research Notes on Approximation, 12.6, 51–67. URL
  • Bandiziol, C., De Marchi, St. (2024). “Persistence Symmetric Kernels for Classification: A Comparative Study.” Symmetry, 16.1236. doi: 10.3390/sym16091236.

Conferences:

  • Presented at several national and international conferences, including seminars in Napoli, Torino, and the University of Padova, on topics such as topological layers in neural networks and classification using TDA.

Top Noted Publication:

1. Persistence Symmetric Kernels for Classification: A Comparative Study

  • Authors: Cinzia Bandiziol, Stefano De Marchi
  • Journal: Symmetry
  • Year: 2024
  • Volume and Issue: 16(9)
  • Article ID: 1236
  • DOI: 10.3390/sym16091236
  • Citations: 0
  • Abstract: This paper conducts a comparative study on the use of Persistence Symmetric Kernels for classification tasks in machine learning, emphasizing the benefits of topological methods.

2. On the Lebesgue Constant of the Trigonometric Floater-Hormann Rational Interpolant at Equally Spaced Nodes

  • Authors: Cinzia Bandiziol, Stefano De Marchi
  • Journal: Dolomites Research Notes on Approximation
  • Year: 2019
  • Volume: 12
  • Pages: 51–67
  • Citations: 2
  • Abstract: The paper analyzes the behavior of the Lebesgue constant in the context of trigonometric Floater-Hormann rational interpolation, providing insights into the accuracy and efficiency of this approximation method.

Conclusion:

Ms. Cinzia Bandiziol is a highly promising candidate for the Best Researcher Award due to her advanced research in the field of Topological Data Analysis and its applications to Industry 4.0. Her strong academic foundation, practical industry experience, and innovative research make her a valuable contributor to both mathematics and industrial problem-solving. Enhancing the impact of her publications and engaging in broader interdisciplinary work will help her establish a stronger presence in the global research community. Nevertheless, her current accomplishments demonstrate significant promise and merit recognition.

 

 

Raihan Riaz | Geography and Environment | Best Researcher Award

Posted on by Best Paper Award

Mr. Raihan Riaz | Geography and Environment | Best Researcher Award

Research Associate at Jagannath University, Bangladesh

Summary:

Mr. Raihan Riaz is an emerging researcher in the field of Geography & Environment with a focus on climate change-induced migration, natural hazards, and disaster risk management in Bangladesh. He completed his MSc from Jagannath University with distinction, achieving the first position in his thesis group. With extensive research experience, Mr. Riaz has contributed to several notable projects on riverbank erosion, forced migration, and environmental hazards across various regions of Bangladesh. His skill set includes GIS-based modeling, statistical analysis, and field data collection, and he has published in several reputable journals. He is also actively involved in academia and environmental awareness initiatives, holding leadership roles in student organizations.

Professional Profile:

👩‍🎓Education:

  • Master of Science (MSc) in Geography & Environment, Jagannath University, Dhaka, Bangladesh (2022; Exam held 2024)
    GPA: 3.99/4.00 | 1st Position in Thesis Group
  • Bachelor of Science (BSc) in Geography & Environment, Jagannath University, Dhaka, Bangladesh (2021; Exam held 2023)
    CGPA: 3.84/4.00

🏢 Professional Experience:

  • Research Assistant (RA), Dr. Md. Mohiuddin (2024-25)
    Project: Determining the Factors of Migration during Flash Flood in Haor Area, Northeastern Bangladesh
  • Research Fellow, Ministry of Science & Technology, Dhaka (2023-24)
  • Research Assistant (RA), University Grants Commission of Bangladesh
    Projects: Consequences of River Bank Erosion Induced Forced Migration at Char Land in Bangladesh (2019-2020), Climate Change Induced Forced Migration in Southeast Bangladesh (2021-22)
  • Assistant Project Manager (APM), Asiatic Society of Bangladesh (2020-21)
    Project: Perceptions Towards Climate Change-Induced Hazards and Resettlement Preferences in Coastal Bangladesh
  • Data Enumerator, Worked on multiple surveys, including the baseline survey of Rohingya refugee impact, livelihood status of the Dublarchar fisherman community, and land use assessment in Sylhet and Sunamganj districts.

Research Interests:

Mr. Raihan Riaz’s research interests include climate change impacts, forced migration, natural hazards, and geospatial modeling. He has a particular focus on climate-induced migration, disaster risk reduction, and geographic information systems (GIS)-based modeling for environmental planning and hazard susceptibility mapping. His work often intersects with understanding the socio-economic effects of environmental changes and the resilience of affected populations.

Author Metrics:

Publications:

  • Neegar Sultana and Raihan Riaz., Knowledge, Attitude and Practices towards Flash Flood in Sunamganj District, Bangladesh, Natural Hazards, Springer [1st review complete]
  • Raihan Riaz and Neegar Sultana., Location-specific Heterogeneity in Landslide Resilience Index: A Household-based Comparative Study in Rangamati Hill District, Bangladesh, Ecological Indicators, Elsevier [Under Review]
  • Raihan Riaz and Mohiuddin, Md., Application of GIS-Based Multi-Criteria Decision Analysis of Hydro-Geomorphological Factors for Flash Flood Susceptibility Mapping in Bangladesh, Water Cycle, Elsevier [Accepted]
  • Neegar Sultana, Md. Farhad Hossain, Raihan Riaz., Landslide Risk Assessment in Bandarban Hill District of Bangladesh Using GIS and RS Techniques, Physical Geography, Taylor and Francis [1st Review Complete]
  • Raihan Riaz and N.M. Refat Nasher., Urban Expansion and Land Use Changes of a Fringe Area in the Southern Part of Dhaka City (Bangladesh) using Geo-Spatial Techniques, Journal of Geophysics, 27(6), 462-475 (2023)

Awards and Achievements

  • National Science & Technology Award for MSc Thesis (2023)
  • Dean’s List Scholarship for maintaining a CGPA above 3.75/4.00
  • University Merit Scholarship (2018-2021)
  • Mr. Riaz continues to make significant contributions to the study of environmental challenges and migration in Bangladesh, with several promising research outputs under review and in press.

Top Noted Publication:

Application of GIS-Based Multi-Criteria Decision Analysis of Hydro-Geomorphological Factors for Flash Flood Susceptibility Mapping in Bangladesh

  • Authors: R. Riaz, M. Mohiuddin
  • Journal: Water Cycle
  • Year: 2024
  • Summary: This paper uses GIS-based Multi-Criteria Decision Analysis (MCDA) to evaluate hydro-geomorphological factors and their contributions to flash flood susceptibility in Bangladesh. It emphasizes the integration of spatial data and analytical models to improve hazard mapping and risk management strategies for flood-prone areas.
  • Status: Accepted

Building Responsiveness through Community-based Adaptation to Climate Change: Lesson Learned from Coastal Zone of Bangladesh

  • Author: R. Riaz
  • Conference: BCSIR Congress-2023
  • Volume: 50 (1), pp. 367-371
  • Year: 2024
  • Summary: This conference paper highlights community-based adaptation strategies to address the adverse impacts of climate change in Bangladesh’s coastal zones. It discusses the lessons learned from local initiatives that enhance resilience and responsiveness among vulnerable communities.
  • Status: Presented at BCSIR Congress

Assessment of Riverbank Erosion-Deposition Trend Using Geospatial Techniques in the Padma River, Bangladesh

  • Author: R. Riaz
  • Conference: 9th International Conference on Water and Flood Management (ICWFM)
  • Volume: 2
  • Year: 2023
  • Summary: This paper presents a geospatial analysis of riverbank erosion and deposition trends along the Padma River. By applying remote sensing and GIS tools, it offers an understanding of the river’s morphological changes over time, providing insights into erosion mitigation and river management.
  • Status: Presented at ICWFM 2023

Urban Expansion and Land Use Changes of a Fringe Area in the Southern Part of Dhaka City (Bangladesh) Using Geo-Spatial Techniques

  • Authors: R. Riaz, N.M.R. Nasher
  • Journal: The Journal of Indian Geophysical Union
  • Volume: 27 (6), pp. 462-475
  • Year: 2023
  • Summary: This research explores urban expansion and land use dynamics in the southern fringes of Dhaka city. Utilizing geospatial techniques, the paper analyzes land use changes over time, highlighting the environmental and planning challenges associated with rapid urbanization.
  • Status: Published

Conclusion:

Mr. Raihan Riaz is a strong candidate for the Best Researcher Award, especially considering his early career stage and already substantial contributions to environmental and disaster risk research. His focus on climate change-induced migration and disaster risk reduction in Bangladesh addresses pressing local and global issues, making his work highly relevant and impactful. With his technical expertise, growing publication record, and recognition through national awards, Mr. Riaz is well-positioned for further success.

To maximize his candidacy for this award, Mr. Riaz could continue to expand his publication portfolio, seek international collaborations, and enhance the global applicability of his research. Given his strong foundation and ongoing projects, he holds significant potential to be recognized as an outstanding researcher in his field.