Uncategorized Archives

Eda Nur Saruhan, Artificial Intelligence, Best Innovator Award

Posted on 16/08/202516/08/2025 by scizentox scizentoxLeave a Comment

Dr. Eda Nur Saruhan: Researcher at Koç University, Turkey

Eda Nur Saruhan is a dedicated researcher with a strong interdisciplinary background, combining mechatronic engineering principles with artificial intelligence to innovate in the fields of environmental science and health. She is currently a PhD candidate at Koç University’s Computer Science and Engineering department, where her work focuses on the application of machine learning and data science techniques to solve complex biomechanical and environmental challenges. Eda is passionate about leveraging AI to create sustainable and impactful solutions, bridging engineering and public health domains.

Online Profiles

Google Scholar Profile

As of now, Eda Nur Saruhan has received a total of 24 citations, reflecting the growing impact of her research in the scientific community. She holds an h-index of 2, indicating that at least two of her publications have been cited at least twice, and an i10-index of 2, representing two papers that have received ten or more citations. These metrics demonstrate her contributions to interdisciplinary research at the intersection of artificial intelligence, health, and environmental science.

Education

Eda completed her Bachelor’s degree in Mechatronic Engineering at Yıldız Technical University, graduating in June 2021 with a solid foundation in robotics, control systems, and automation. Currently, she is pursuing her PhD in Computer Science and Engineering at Koç University, where she focuses on integrating AI with environmental and biomedical applications. Additionally, she has enhanced her expertise through the prestigious UNDP SDG AI Lab Data Science Fellowship, which emphasizes data-driven solutions aligned with sustainable development goals.

Research Focus

Her research explores the intersection of artificial intelligence, environmental science, and health, aiming to develop novel AI-based models for forecasting environmental phenomena and analyzing complex biomechanical systems. She investigates scalable AI approaches for air quality prediction, 3D fiber orientation mapping in cardiac tissues, and optical flow methods for fluid dynamics, with an overarching goal of contributing to public health and sustainable environmental monitoring.

Experience

Eda has been a researcher at Koç University for three years, where she has been involved in multiple interdisciplinary projects. Her experience spans AI-driven air quality modeling, microrobot motion analysis, and advanced imaging techniques. Throughout her career, she has collaborated with experts across engineering and biomedical fields, authored several high-impact publications, and presented findings at international conferences, demonstrating strong project leadership and scientific communication skills.

Research Timeline & Activities

Since 2019, Eda’s research trajectory has included working on cutting-edge projects at Koç University involving fluid dynamics measurement using optical flow methods, microrobot control under laminar flow, and AI-based cell classification techniques. She has actively contributed to conferences such as the International Symposium on Flow Visualization and the Manipulation, Automation, and Robotics at Small Scales conference. Her work has progressively advanced from foundational experimental studies to the application of machine learning models in environmental health contexts.

Awards & Honors

Eda’s contributions to research have been recognized with the UNDP SDG AI Lab Data Science Fellowship, highlighting her commitment to sustainable and impactful AI solutions. She has also co-authored influential papers published in reputed journals like IEEE/ASME Transactions on Mechatronics and Cardiovascular Engineering and Technology, reflecting the quality and relevance of her research output.

Recent Publication

One of her notable recent publications is “Scalable AI-Driven Air Quality Forecasting and Classification for Public Health Applications,” published in Discover Atmosphere. This work presents innovative machine learning frameworks designed to provide accurate and scalable air quality forecasts, which are critical for public health decision-making and environmental policy planning. The paper exemplifies her commitment to applying AI for real-world societal benefits.

S. Donmazov, E.N. Saruhan, K. Pekkan, S. Piskin
Review of Machine Learning Techniques in Soft Tissue Biomechanics and Biomaterials
Cardiovascular Engineering and Technology, 15(5), pp. 522–549, 2024.
Citations: 12
A.A. Demircali, R. Varol, G. Aydemir, E.N. Saruhan, K. Erkan, H. Uvet
Longitudinal Motion Modeling and Experimental Verification of a Microrobot Subject to Liquid Laminar Flow
IEEE/ASME Transactions on Mechatronics, 26(6), pp. 2956–2966, 2021.
Citations: 12
E.N. Saruhan, H. Ozturk, D. Kul, B. Sevgin, M.N. Coban, K. Pekkan
Learning-Enhanced 3D Fiber Orientation Mapping in Thick Cardiac Tissues
Biomedical Optics Express, 16(8), pp. 3315–3336, 2025.
M. Serdar, E.N. Saruhan, K. Pekkan
Enhancing Particle Image Velocimetry with RAFT and Optical Flow for High-Fidelity Cardiovascular Flow Measurements
Proceedings of the 21st International Symposium on Flow Visualization (ISFV21), 2025.
E.N. Saruhan, M. Serdar, K. Pekkan
Optical Flow Methods for High-Resolution OCT Analysis of Complex Hemodynamics
21st International Symposium on Flow Visualization (ISFV21), 2025.
T. Duruöz, A. Madayen, E.N. Saruhan, R.H. Zarnaghi, H.H. Gezer, I. Aktas, et al.
ABS0156 AI-Based Classification of Spondyloarthritides Using the Turkish Patients of ASAS perSpA Dataset: Insights on Clinical Features and Patient Outcomes
Annals of the Rheumatic Diseases, 84, pp. 2108–2109, 2025.

Chunyi Fang, Public Health, Best Researcher Award

Posted on 27/07/202527/07/2025 by scizentox scizentoxLeave a Comment

Dr. Chunyi Fang: Physical therapist at Zhejiang Provincial People’s Hospital, China

Dr. Chunyi Fang is a medical doctor and clinical researcher with a strong academic background in rehabilitation therapy and pediatric exercise science. She is affiliated with the Center for Rehabilitation Medicine at Zhejiang Provincial People’s Hospital, one of China’s leading centers for rehabilitation research. Her work primarily focuses on pediatric physical activity, exploring how movement behaviors influence physical fitness and health outcomes in preschool-aged children. With both domestic and international publications, Dr. Fang has developed a reputation for combining clinical insight with rigorous data analysis, contributing to early childhood health promotion and rehabilitation strategies.

Online Profiles

ORCID Profile

Education

Dr. Fang earned her M.D. in 2017 from Shanghai University of Sport, where she conducted original research on how daily step counts influence cardiovascular and muscular fitness in preschoolers—an area that laid the groundwork for her later publications. Prior to that, she completed her Bachelor of Science degree in Rehabilitation Therapy at North China University of Science and Technology in 2012. Her academic path reflects a steady focus on clinical rehabilitation and the development of functional health in children, combining both practical and scientific approaches.

Research Focus

Her research concentrates on pediatric physical fitness, particularly examining how different types and intensities of physical activity and sedentary behavior affect developmental health outcomes. Using advanced tools such as accelerometers, she quantifies daily activity levels and links them to cardiovascular, neuromuscular, and motor skill indicators in young children. Dr. Fang’s work is especially known for addressing dose-response relationships, investigating how varying movement patterns correspond to health benchmarks in preschool-aged populations. She also contributes to cluster-based analyses and early intervention planning.

Experience

Dr. Fang currently works at the Rehabilitation & Sports Medicine Research Institute of Zhejiang Province, where she plays a key role in research design, data collection, and clinical application. She has contributed to both observational studies and experimental trials involving child development, physical activity measurement, and rehabilitation protocols. She also assists in training clinical staff in pediatric assessments and collaborates with physicians, therapists, and data scientists in large-scale health studies. Her role bridges the gap between academic theory and hands-on clinical practice.

Research Timeline

Beginning in 2017, Dr. Fang’s early work investigated fundamental relationships between movement and fitness in young children. Her first notable international publication appeared in the Journal of Clinical Medicine in 2020, followed by co-authored studies in Frontiers in Pediatrics and Scientific Reports. From 2020 to 2025, she expanded her research methods to include wearable technology, sedentary behavior modeling, and cross-sectional studies with large preschool cohorts. She continues to participate in national and international collaborations while mentoring new researchers in pediatric rehabilitation.

Awards & Honors

While specific awards are not listed, Dr. Fang’s research has received recognition through publication in high-impact journals and citation by leading scholars in physical education and pediatric medicine. Her work was selected for publication in Scientific Reports and Frontiers in Human Neuroscience, reflecting both methodological quality and relevance to public health. She has also received internal commendations from Zhejiang Provincial People’s Hospital for her contributions to evidence-based rehabilitation practice and collaborative research excellence.

Top-Noted Publication

Her most cited and prominent paper is: Fang C, Li L, Jin Z, He C, Liang F, Ye X, Lu Y, Quan M. (2025). Accelerometer-Based Independent and Combined Associations of Physical Activity and Sedentary Time on Physical Fitness in Preschool Children: A Cross-Sectional Study. Published in Scientific Reports, this study offers a comprehensive look at how objectively measured physical activity and inactivity are related to fitness outcomes in early childhood. It emphasizes the importance of reducing sedentary time and encouraging moderate-to-vigorous activity for promoting children’s health.
DOI: https://doi.org/10.1038/s41598-025-00626-x

Fang C, Li L, Jin Z, He C, Liang F, Ye X, Lu Y, Quan M. (2025). Accelerometer-Based Independent and Combined Associations of Physical Activity and Sedentary Time on Physical Fitness in Preschool Children: A Cross-Sectional Study. Scientific Reports, 15(1):26691.
DOI: 10.1038/s41598-025-00626-x
This study explored the independent and joint effects of physical activity and sedentary time on health-related fitness using objective accelerometer data in preschoolers.

Fang C, Zhang J, Zhou T, Li L, Lu Y, Gao Z, Quan M. (2020). Associations between Daily Step Counts and Physical Fitness in Preschool Children. Journal of Clinical Medicine, 9(1):163.
DOI: 10.3390/jcm9010163
Among the first studies to examine the dose-response association between step count and physical fitness in children aged 3–6, this article provides foundational evidence supporting active lifestyle promotion in early childhood.

Liu J, Li Y, Zhou T, Lu Y, Sang M, Li L, Fang C, Hu W, Sun X, Quan M. (2022). Relationship Between Gross Motor Skills and Inhibitory Control in Preschool Children: A Pilot Study. Frontiers in Human Neuroscience, 16:848230.
DOI: 10.3389/fnhum.2022.848230
This pilot study evaluated the cognitive-motor link in preschoolers, finding significant associations between gross motor competence and inhibitory control, a critical executive function.

Lu Y, Li Y, Zhou T, Sang M, Li L, Fang C, Hu W, Quan M. (2022). The Association of Different Sedentary Patterns and Health-Related Physical Fitness in Pre-schoolers. Frontiers in Pediatrics, 9:796417.
DOI: 10.3389/fped.2021.796417
This paper examined how various sedentary behavior patterns relate to fitness metrics in preschool children, revealing that prolonged sedentary bouts are negatively associated with cardiovascular and muscular fitness.

Mohammad Hassan Hadizadeh, Environmental Science, Distinguished Researcher Award

Posted on 24/07/202524/07/2025 by scizentox scizentoxLeave a Comment

Doctorate Mohammad Hassan Hadizadeh: Researcher at Shandong University, China

Dr. Mohammad Hassan Hadizadeh is an experienced physical and atmospheric chemist whose interdisciplinary research spans computational chemistry, surface interactions, and environmental pollutant degradation. With a strong foundation in density functional theory (DFT) and ab initio molecular dynamics (AIMD), he has contributed significantly to understanding the behavior of radicals, especially hydroxyl (·OH), at gas-liquid interfaces and in nanodroplets. Over the past decade, Dr. Hadizadeh has authored more than 25 peer-reviewed publications and collaborated with leading researchers across China, Europe, and the Middle East. His current role as a National Foreign Expert at Shandong University reflects his leadership in environmental reaction modeling and his ability to bridge theory with experimental validation.

Online Profiles

Google Scholar Profile

As of 2025, Dr. Mohammad Hassan Hadizadeh has accumulated 190 citations, reflecting the growing recognition and impact of his research in the fields of atmospheric and environmental chemistry. He holds an h-index of 8, indicating that at least eight of his publications have each received eight or more citations, and an i10-index of 6, representing six publications with ten or more citations. Notably, nearly all citations have been acquired since 2020, demonstrating the recent and ongoing relevance of his contributions to computational chemistry, pollutant degradation, and molecular dynamics studies.

Education

Dr. Hadizadeh completed his Ph.D. in Physical Chemistry from the University of Science and Technology of China (USTC) in 2020, where he focused on atmospheric chemistry and interfacial radical dynamics. He previously obtained his M.Sc. in Physical Chemistry from Kashan University in 2012, with a thesis focused on corrosion inhibition and quantum chemical modeling. His foundational B.Sc. in Chemistry from Isfahan University of Technology (2009) included broad training in analytical, inorganic, and computational chemistry. This solid academic background provided him with the analytical tools, theoretical knowledge, and computational skills that underpin his current research into molecular-level environmental processes.

Research Focus

Dr. Hadizadeh’s research is focused on uncovering the molecular mechanisms governing chemical transformations in atmospheric and environmental systems. He investigates how radicals such as OH, NO₃, and ClO behave at air–water interfaces and within nanodroplets, using DFT and AIMD simulations to provide atomic-level insights into degradation, adsorption, and reaction pathways. His work also includes modeling pollutant interactions with nanostructured materials such as AlN and boron nitride nanocones, advancing the development of materials for environmental remediation. He is particularly interested in how temperature, humidity, and surface properties influence chemical reactivity—bridging the gap between laboratory conditions and real-world atmospheric chemistry.

Experience

Throughout his academic career, Dr. Hadizadeh has held a variety of teaching and research positions that reflect both breadth and depth in the chemical sciences. He began his professional journey teaching chemistry at Azad University (2012–2015), then transitioned to international education by teaching A-Level science at Hefei University of Technology (2020–2021). From 2021 to 2024, he served as a Postdoctoral Researcher at Shandong University’s Environment Research Institute, contributing to several high-impact NSFC-funded projects. In 2024, he was a visiting scholar at the University of Copenhagen and the Research Institute of Petroleum Industry (RIPI), deepening his collaborations in Europe and Iran. As of 2025, he holds the title of National Foreign Expert at Shandong University.

Research Timeline

Dr. Hadizadeh’s early research (2010–2014) centered on corrosion inhibition and gas adsorption on nanostructures, combining experimental techniques with theoretical modeling. His Ph.D. studies (2015–2020) marked a significant shift to radical behavior in aqueous systems, using AIMD to simulate hydroxyl radical mobility and interactions. From 2021 onward, his postdoctoral and expert-level work expanded into environmental degradation pathways, gas-phase interface chemistry, and pollutant breakdown at the molecular level. By integrating simulation with environmental data, his recent research emphasizes real-world applications, including atmospheric modeling, water purification, and sustainable material design.

Awards & Honors

Dr. Hadizadeh has received multiple honors recognizing his academic excellence and international contributions. He was awarded a full scholarship by the China Scholarship Council (CSC) for his doctoral studies and was selected for China’s prestigious National Foreign Expert Program in 2025. He has led and participated in projects funded by the National Natural Science Foundation of China (NSFC), underscoring his value as a principal investigator and team researcher. His contributions as a reviewer for journals under RSC and Elsevier also reflect his peer recognition. He holds a TESOL certification from Westminster College London and has completed a professional development course at the University of Oxford on effective learning methods.

Recent Publications

Among Dr. Hadizadeh’s most highly regarded publications is his 2021 article in Physical Chemistry Chemical Physics, titled “The mobility and solvation structure of a hydroxyl radical in a water nanodroplet: A Born–Oppenheimer molecular dynamics study.” This work was one of the earliest to combine AIMD with interfacial radical chemistry, providing deep insights into how ·OH behaves in confined aqueous environments. The findings from this study have been frequently cited in subsequent research on radical-mediated oxidation and environmental chemistry. The paper stands as a benchmark in his research trajectory, setting the stage for his continued work in modeling radical reactions at the nano- and meso-scale levels under realistic environmental conditions.

Hu, Y., Zhou, Y., Hadizadeh, M.H., Xu, F.
Unveiling the Dynamics of NO₃ at the Air–Water Interface and in Bulk Water: A Comparative Study with Cl and ClO
* Molecules*, 30(8), 1724 (2025).
[DOI Link Pending]
→ Comparative molecular study of NO₃, Cl, and ClO radicals in different aqueous environments using quantum chemical simulations.
Zheng, S., Zhou, Y., Zhang, Q., Hadizadeh, M.H., Wang, X., Hu, Y., Sun, Y., Xu, F., et al.
Mechanism and Direct Kinetic Study on the Homogeneous Gas-Phase Formation of 1,2,3,4,5,6,7-HpCN from the Self-Condensation of 2,3,4,5-TeCPRs and Cross-Condensation of PCPRs
* Journal of Environmental Chemical Engineering*, 12(2), 112341 (2024).
https://doi.org/10.1016/j.jece.2023.112341
→ Investigates the kinetic and mechanistic pathways for toxic polychlorinated naphthalenes in the atmosphere via theoretical modeling.
Hadizadeh, M.H., Xu, F.
Molecular Insights into Thermally Induced Behavior of Hydroxyl Radicals at Water Nanodroplet Interfaces
* Scientific Reports*, 15(1), 26219 (2025).
[DOI Link Pending]
→ Ab initio molecular dynamics study exploring how temperature influences radical distribution and reactivity at the gas–water interface.
Pourhashem, S., Hadizadeh, M.H., Ji, X., Zhou, Z., Duan, J., Ci, X., Lu, H., Hou, B.
Recognizing the Function of Different Silane Coupling Agents on MXene Adsorption/Barrier Behavior in Solvent-Borne Epoxy Coatings: Experimental Studies, Density Functional Theory, and Molecular Dynamics Simulations
* Progress in Organic Coatings*, 204, 108453 (2025).
https://doi.org/10.1016/j.porgcoat.2024.108453
→ Integrates simulation and experimental work to understand surface modifications in high-performance anti-corrosion coatings.
Pourhashem, S., Hadizadeh, M.H., Ji, X., Zhou, Z., Duan, J., Ci, X., Lu, H., Hou, B.
Corrigendum to: Recognizing the Function of Different Silane Coupling Agents on MXene Adsorption/Barrier Behavior in Solvent-Borne Epoxy Coatings
* Progress in Organic Coatings*, 204, 109234 (2025).

Strengths and eligibility factors that make Dr. Mohammad Hassan Hadizadeh a strong candidate for the Distinguished Researcher Award, each presented under a focused heading:

Outstanding Publication Record in High-Impact Journals

Dr. Hadizadeh has authored over 25 peer-reviewed articles in respected international journals, including Physical Chemistry Chemical Physics, Scientific Reports, Journal of Environmental Chemical Engineering, and Progress in Organic Coatings. His research has addressed critical challenges in atmospheric chemistry, nanomaterials, and environmental degradation. The consistently high quality and volume of his publications demonstrate sustained scholarly productivity and international visibility.

Interdisciplinary Research Excellence in Environmental and Computational Chemistry

With expertise spanning density functional theory (DFT), ab initio molecular dynamics (AIMD), and atmospheric interface modeling, Dr. Hadizadeh has contributed novel insights into pollutant transformation, radical behavior, and adsorption mechanisms. His interdisciplinary work merges computational chemistry with real-world environmental applications, making his findings both theoretically rigorous and practically impactful—a key eligibility criterion for distinction.

International Recognition and Collaboration

Dr. Hadizadeh has held visiting scholar positions at the University of Copenhagen and the Research Institute of Petroleum Industry (RIPI), and has collaborated with global experts from China, Europe, and the Middle East. His selection as a National Foreign Expert in China underscores his international credibility, leadership, and institutional trust—qualities central to distinguished researcher status.

Research Funding and National-Level Project Leadership

He has led or contributed to several NSFC-funded research projects, reflecting his capacity to secure competitive funding and manage large-scale scientific investigations. His work aligns with national and global priorities in clean energy, environmental remediation, and chemical safety—strengthening his case for recognition at the distinguished level.

Scientific Impact and Academic Service

Dr. Hadizadeh’s research has received 190 citations, an h-index of 8, and an i10-index of 6, with nearly all citations emerging after 2020—indicating both scientific relevance and rising influence. In addition, his role as a reviewer for RSC and Elsevier journals and his participation as an invited speaker at international conferences highlight his broader contributions to the advancement and dissemination of scientific knowledge.

Kawther Al-Soudany, Engineering, Female Researcher Award

Posted on 24/07/202524/07/2025 by scizentox scizentoxLeave a Comment

Prof. Dr Kawther Al-Soudany: professor at University of Technology, Baghdad, Iraq.

Prof. Kawther Yaly Hussain Al-Soudany is a distinguished geotechnical engineer and professor at the University of Technology in Baghdad, Iraq. With over 20 years of academic, research, and practical experience, she has made significant contributions to soil mechanics, ground improvement, and environmental geotechnics. Her work focuses on developing sustainable and innovative engineering solutions tailored to the complex geotechnical challenges of soft and contaminated soils in Iraq and the broader Middle East region. Prof. Al-Soudany is widely recognized for her dedication to advancing knowledge and mentoring the next generation of engineers.

Online Profiles

Scopus Profile

Documents Indexed in Scopus: 25
Total Citations: 107
Cited By: 89 documents
h-index: 7

Prof. Al-Soudany’s research portfolio indexed in Scopus reflects a solid academic footprint in the field of geotechnical and environmental engineering. Her publications focus on soil stabilization, landfill liner performance, and the geotechnical behavior of contaminated and treated soils. With an h-index of 7, her work demonstrates consistent academic influence and relevance within the geotechnical engineering research community.

Education

Prof. Al-Soudany earned her Ph.D. in Geotechnical Engineering from the University of Technology, Baghdad, in 2025, marking the culmination of years of focused research into soil stabilization and landfill liner systems. Prior to that, she completed an M.Sc. in Geotechnical Engineering in 2006, during which she investigated innovative ground improvement methods such as enlarged base stone columns. Her academic foundation was laid with a B.Sc. in Building & Construction Engineering in 2002 from the same institution, providing a comprehensive understanding of civil engineering principles and their practical applications.

Research Focus

Her research spans several critical areas of geotechnical engineering, including soil stabilization using waste materials like rice husk ash, silica fume, and polymer additives; ground improvement techniques such as stone columns and nanomaterials; and environmental geotechnics focusing on landfill liner performance and soil contamination by hydrocarbons. She is particularly interested in the sustainable reuse of industrial and agricultural by-products to enhance soil properties, reduce environmental impact, and improve infrastructure durability in regions with problematic soil conditions.

Experience

Over her two-decade career, Prof. Al-Soudany has progressed from demonstrator to full professor at the University of Technology, where she has taught and supervised courses in soil mechanics, foundation engineering, and advanced soil laboratory techniques. Her academic roles are complemented by extensive hands-on experience conducting laboratory and field soil tests, ensuring that her teaching and research are grounded in practical applications. She has also actively contributed to curriculum development and mentoring students and junior researchers.

Research Timeline

Starting with her M.Sc. thesis on enlarged base stone columns in 2006, Prof. Al-Soudany’s research portfolio has steadily expanded to include soil improvement using various waste materials, assessment of soil contamination effects, and innovative stabilization methods involving nanotechnology. Her recent work focuses on landfill liner systems, exploring the use of magnesium oxide and water treatment sludge ash to improve clay liner performance, reflecting her commitment to addressing pressing environmental challenges through engineering.

Awards & Honors

Prof. Al-Soudany’s academic excellence is demonstrated through her extensive publication record in prestigious international journals and her presentations at key conferences worldwide. While specific awards are not listed, her election to professional societies and her leadership roles in geotechnical research projects highlight the high regard in which she is held by peers. Her ongoing contributions have positioned her as a leading expert in geotechnical engineering and environmental soil science in Iraq and beyond.

Top-Noted Publication

A landmark publication, “Model Tests of Enlarged Base Stone Columns,” presented at the 13th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering (2007), showcases Prof. Al-Soudany’s innovative approach to ground improvement. This work has been influential in advancing practical solutions for enhancing soil bearing capacity and reducing settlement, widely cited by researchers and practitioners engaged in soil stabilization and foundation engineering projects across Asia and the Middle East.

1. Desiccation Crack and Volumetric Shrinkage of Magnesium Oxide-Treated Compacted Soil Liner in Landfill

Authors: Al-Soudany, K.Y.H., et al.
Journal: Environmental Earth Sciences, 2025
Summary: This study investigates how magnesium oxide additives affect desiccation cracking and shrinkage behavior in compacted clay liners used in landfill applications. The results highlight improved volumetric stability and crack resistance, suggesting magnesium oxide as a viable treatment method for enhancing liner durability in arid environments.

2. Evaluating the Environmental Impact of Stone Columns on Clay Barrier Liners in Landfills

Authors: Al-Soudany, K.Y.H., et al.
Journal: Environmental Monitoring and Assessment, 2025
Summary: This paper assesses the potential environmental implications of installing stone columns in soft landfill liners, focusing on hydraulic conductivity changes and structural interaction. The findings underscore the importance of evaluating soil-column compatibility in landfill containment design.
Citations: 1

Ashish Verma, Computer Science, Best Researcher Award

Posted on 24/07/2025 by scizentox scizentoxLeave a Comment

Doctorate Ashish Verma: Research Scholar at Birla Institute of Technology & Science, Pilani, India

Ashish Verma is a Ph.D. research scholar in the Department of Computer Science and Information Systems at BITS Pilani, Pilani Campus. His work lies at the intersection of robotics, distributed computing, and AI, with a focus on scalable and fault-tolerant multi-robot task allocation systems. With over four years of intensive research experience, Ashish has contributed to multiple high-impact projects involving real-time task coordination among autonomous mobile robots in time-critical environments. He is passionate about building intelligent robotic frameworks that can operate efficiently in uncertain and communication-constrained scenarios. His long-term vision is to establish a research center that develops robotic solutions for societal and industrial challenges in India and beyond.

Online Profiles

ORCID Profile

Education

Ashish holds a Bachelor’s degree in Computer Engineering from Cochin University of Science and Technology (CUSAT), completed in 2019 with a CGPA of 8.18. Currently, he is pursuing his Doctor of Philosophy (Ph.D.) in Computer Science and Engineering at BITS Pilani, where he has been working since November 2020. His doctoral research focuses on the design and implementation of secure, fault-tolerant frameworks for multi-robot task allocation in imperfect communication settings. Through advanced courses and project work, he has built a strong academic foundation in optimization, AI, reinforcement learning, distributed systems, and embedded robotics.

Research Focus

Ashish’s core research areas include distributed multi-robot task allocation (MRTA), dynamic scheduling, embedded systems, fault-tolerance, and secure robotic communication. He explores solutions to NP-Hard problems in heterogeneous mobile robotics using graph theory, optimization, deep learning (LSTM), and reinforcement learning. His current work integrates predictive modeling with dynamic rescheduling to minimize delivery penalties in time-sensitive domains like healthcare and warehousing. He also plans to integrate adversarial-resilient mechanisms and encryption-based authentication to improve system robustness in real-world robotic deployments.

Experience

Ashish has been working as a Research Scholar at the Embedded Systems and Robotics Laboratory at BITS Pilani since November 2020. Over the past four and a half years, he has contributed to designing, simulating, and evaluating robust multi-robot systems under complex operational constraints. His roles have included research design, simulation testing, writing algorithms, preparing publications, and mentoring students. In addition to research, he has served as a lab instructor for undergraduate courses such as Object-Oriented Programming (OOP), providing hands-on training to students in core computer science concepts. His experience reflects both theoretical depth and practical problem-solving ability.

Research Timeline

Between 2021 and 2025, Ashish Verma has worked on four major funded research projects focusing on real-time robotic systems: (1) CF-HMRTA – addressing coalition formation in heterogeneous robot teams using bipartite graph matching; (2) HMR-ODTA – a framework for diverse online task allocation under time constraints; (3) DTA-HMR-TT – a decentralized approach incorporating task transfer to minimize late deliveries; and (4) Predictive Task Allocation using Deep Learning – employing LSTM models to forecast and optimize task schedules dynamically. Each project built progressively toward creating a secure, scalable, and intelligent multi-robot system capable of operating in dynamic, imperfect environments.

Awards & Honors

Ashish has a consistent academic record and has earned accolades from school to university level. He secured the 1st rank in a Mathematics Olympiad during school and was the winner of an intra-university chess championship, reflecting both analytical ability and strategic thinking. In his research journey, he has participated in multiple national and international workshops, including the EMSC-2021 workshop on smart city energy management and a short course on high-performance and parallel computing. He has also contributed to the research community as a peer reviewer for IEEE Transactions on Intelligent Vehicles, a testament to his growing expertise and academic engagement.

Top-Noted Publication

Among his published works, Ashish’s most impactful publication to date is the 2024 IEEE Access paper titled “DTA-HMR-TT: Dynamic Task Allocation for a Heterogeneous Team of Mobile Robots with Task Transfer.” This work presents a novel decentralized scheduling algorithm that addresses multi-pickup and delivery problems with time windows in real-world environments such as hospitals and warehouses. The paper highlights his contribution to handling task rescheduling, minimizing penalties for late deliveries, and enabling robots to intelligently transfer tasks under changing scenarios. It received positive peer recognition for its scalability and practical value in real-time robotic systems.

1. Verma, A., Gautam, A., Dutta, A., Shekhawat, V. S., & Mohan, S. (2025). CF-HMRTA: Coalition Formation for Heterogeneous Multi-Robot Task Allocation. Journal of Intelligent & Robotic Systems. https://doi.org/10.1007/s10846-025-02287-4
This paper introduces a novel coalition formation strategy for task allocation among heterogeneous mobile robots, addressing the computational complexity of NP-Hard problems using a bipartite graph matching technique with a worst-case time complexity of O(|E|). The work significantly enhances scalability, demonstrated through simulations involving up to 2000 robots and 400 tasks executed in under 12 seconds. The coalition mechanism ensures optimal robot-task pairing and showcases efficiency in diverse multi-agent environments. The study reflects Ashish Verma’s deep understanding of algorithm design, optimization under constraints, and real-world simulation modeling.

2. Verma, A., Gautam, A., Shekhawat, V. S., & Mohan, S. (2024). DTA-HMR-TT: Dynamic Task Allocation for a Heterogeneous Team of Mobile Robots With Task Transfer. IEEE Access. https://doi.org/10.1109/ACCESS.2024.3505947
This research presents a decentralized framework for dynamic task allocation in time-sensitive scenarios such as hospital logistics and warehouse automation. The proposed system introduces a task-transfer mechanism to improve delivery reliability and minimize penalties under time window constraints. Using a team of autonomous heterogeneous robots, the system dynamically adjusts task schedules based on environmental changes and robot availability. This publication highlights Ashish’s expertise in decentralized algorithms, dynamic scheduling, and robust robotic coordination in structured indoor environments.

Nagaraj C, Engineering, Best Researcher Award

Posted on 24/07/2025 by scizentox scizentoxLeave a Comment

Doctorate Nagaraj C: Assistant Professor at M S Ramaiah Institute of Technology, India

Dr. Nagaraj C is an accomplished academician and researcher in the field of Electrical and Electronics Engineering, with a specialization in smart grid systems, hybrid micro-grids, and renewable energy technologies. He holds over 13 years of rich experience in teaching, academic mentoring, and applied research. Known for his commitment to innovation and power system optimization, he has contributed through high-impact journal publications, conference presentations, patents, and funded projects. His work is deeply rooted in both theoretical modeling and practical applications, making him a dynamic contributor to engineering education and energy systems research.

Online Profiles

Scopus Profile

Dr. Nagaraj C is listed on Scopus with an author ID 57191851593, reflecting his active contribution to peer-reviewed research. As of now, his publications have garnered 46 citations across 12 indexed documents, with an h-index of 5, indicating consistent scholarly impact in his research area. His research outputs span topics in smart grid systems, renewable energy integration, and power electronics.

Education

Dr. Nagaraj completed his Ph.D. in Electrical Engineering from the prestigious National Institute of Technology Karnataka (NITK), Surathkal, under the Ministry of Human Resource Development (MHRD), Government of India in 2020, with a coursework CGPA of 7.42/10. Prior to his doctoral studies, he obtained his M.Tech in Power Systems from NIE, Mysuru (VTU, Belagavi) in 2010 with a CGPA of 8.74. He began his engineering education at PES College of Engineering, Mandya (VTU), earning his B.E. in Electrical and Electronics Engineering in 2008 with 63.19%. His academic journey reflects a continuous and deepening focus on power systems and grid technologies.

Research Focus

His research is centered on intelligent control mechanisms for hybrid AC-DC micro-grid systems with an emphasis on power flow control, energy efficiency, and power quality improvement. Dr. Nagaraj has developed advanced converter topologies and control algorithms using fuzzy logic, PI controllers, and hysteresis techniques to address harmonic distortion and voltage instability. He has a strong interest in renewable energy integration, especially solar and wind systems, electric vehicle infrastructure, and next-generation energy conversion systems. His simulations and validations using MATLAB/Simulink contribute to IEEE 519-compliant grid performance.

Experience

Dr. Nagaraj’s academic career spans multiple institutions, starting as an Assistant Professor at MIT Kundapura, followed by key roles as Ad-hoc Faculty and Research Scholar at NITK Surathkal, where he spent over 7 years. He later served as Associate Professor at Reva University before joining M S Ramaiah Institute of Technology, Bengaluru, in December 2020. He has handled a wide range of subjects including Basic Electrical Engineering, Power Systems, Transformers & Induction Machines, and Electric Vehicle Technology. Alongside teaching, he has guided students in lab experiments, supervised projects, coordinated workshops, and contributed significantly to academic governance.

Research Timeline

Beginning his formal research journey in 2012 as an ad-hoc faculty member at NITK Surathkal, Dr. Nagaraj transitioned into a full-time research scholar in 2013. During his Ph.D. (2013–2019), he investigated smart micro-grid topologies and intelligent power control strategies. Post-doctoral work involved academic teaching and research dissemination through journal publications and conferences. From 2020 onwards, he continued active research while serving as Assistant Professor at MSRIT, where he also initiated funded research proposals, filed patents, and guided student research aligned with emerging technologies like EV systems and hybrid inverters.

Awards & Honors

Dr. Nagaraj has been the recipient of several honors throughout his academic and professional career. He was awarded a prestigious MHRD Fellowship for his Ph.D. at NITK Surathkal, recognizing his academic merit and research potential. In 2021, he received an official appreciation for delivering a webinar on emerging trends in Power Systems under the TEQIP-III FDP program. Earlier, he secured second prize in Shuttle Badminton competitions and ranked in a State-Level Science Talent Examination. He has also participated in state-level marathon events, showcasing his all-rounded personality and commitment to excellence beyond academics.

Top-Noted Publication

Among his notable publications, the research article titled “Reduction of power conversion losses in AC-DC Coupled Hybrid Micro-grid under Grid Distorted Voltage Scenario” stands out. Published in Electric Power System Research (Elsevier, Q1 SCIE/Scopus Indexed) in October 2022, this work introduces a novel hybrid micro-grid configuration with an efficient bi-directional intermediate converter using fuzzy logic-based d-q load current control. It addresses power quality issues in distorted voltage conditions and offers significant improvements in conversion efficiency. The paper is recognized for its high relevance in modern power system research and its potential real-world applications.

Recent Scopus-Indexed Publication

Title: Generic Converter Loss Estimation Approach for AC and DC Coupling Distributed Energy Sources
Authors: Nagaraj C., Kumara K., Mohan N.
Journal: Energy Systems (Springer) – Scopus Indexed (Q2), 2025
Summary:
This paper presents a generic loss estimation method for power converters used in both AC and DC coupling of distributed energy sources. The study emphasizes minimizing energy losses during conversion stages and improving the overall efficiency of integrated renewable systems. It introduces a comparative analysis of various converter topologies under different load and source conditions, providing valuable insights into design optimization for smart grid applications.

Jin-Ran Chen, Medicine, Best Researcher Award

Posted on 23/07/2025 by scizentox scizentoxLeave a Comment

Prof. Dr. Jin-Ran Chen: PI at Arkansas, University of, for Medical Sciences, United States

Dr. Jin-Ran Chen is a Professor at the University of Arkansas for Medical Sciences (UAMS), where he specializes in pediatric nutrition, bone development, and metabolic diseases. With an extensive background in bone biochemistry, epigenetics, and nutrition, Dr. Chen’s research focuses on the interplay between diet, genetic regulation, and environmental factors in shaping bone health. Over the years, he has developed an in-depth understanding of how nutritional interventions, particularly in early life, can prevent or mitigate bone-related diseases such as osteoporosis and fractures. His work spans across animal models and human studies, emphasizing the long-term effects of early dietary exposure, oxidative stress, and maternal health on bone growth. Dr. Chen is a highly respected academic figure, having been awarded numerous honors and invited to speak at prominent national and international conferences.

Online Profiles

Dr. Chen has a variety of online profiles where his work can be explored in more detail.

University of Arkansas Researcher Profile: This profile provides an overview of Dr. Chen’s research contributions, including his role in advancing pediatric nutrition and bone health at UAMS and the Arkansas Children’s Nutrition Center. The profile includes links to his published work and research initiatives aimed at understanding bone metabolism in children.
USDA ARS Profile: Dr. Chen’s work with the USDA Agricultural Research Service is highlighted here, showcasing his leadership in research that focuses on early-life nutrition and its impact on long-term bone health. His research extends to the effects of dietary components on metabolic bone diseases, with an emphasis on developing preventive measures for children and adults.
Google Scholar Profile: Dr. Chen’s Google Scholar profile contains an extensive list of his publications, citations, and research impact. This profile tracks the academic reach of his studies on bone metabolism, nutrition, and epigenetics. His high citation count and impactful publications reflect his standing as a leader in the field of bone biochemistry and nutrition science.

Citations and Research Impact

Dr. Jin-Ran Chen has made significant contributions to the field of bone health, pediatric nutrition, and metabolic diseases, as evidenced by his impressive research impact.

Citations: Dr. Chen’s work has accumulated a total of 4,219 citations, reflecting the broad relevance and importance of his research.
h-index: He has an h-index of 33, indicating that 33 of his publications have been cited at least 33 times, showcasing his sustained influence in the field.
i10-index: Dr. Chen has an i10-index of 54, meaning that 54 of his publications have been cited at least 10 times each, further confirming the impact of his research on advancing knowledge in pediatric nutrition and bone biochemistry.

Education

Dr. Chen’s academic journey is rooted in a combination of medical training and specialized research in bone biochemistry and orthopedics:

Ph.D. in Bone Biochemistry, Orthopedics, Hamamatsu University School of Medicine, Japan (2000): Dr. Chen’s doctoral research was focused on understanding the biochemical processes involved in bone metabolism, particularly in orthopedic surgery. His work contributed to the development of more precise treatment protocols for metabolic bone diseases.
M.S. in Bone Biochemistry, Orthopedics, Hamamatsu University School of Medicine, Japan (1996): His master’s research provided a strong foundation in biochemistry, and it focused on understanding how cellular signaling pathways influence bone health.
M.D. in Medicine, China Medical University, Shenyang, China (1991): Dr. Chen’s medical degree from China Medical University marked the beginning of his clinical career. His medical training gave him insights into treating bone-related diseases, which later influenced his research focus on nutrition and bone health.

Research Focus

Dr. Chen’s research interests lie at the intersection of nutrition, genetics, and bone health. His work aims to uncover the molecular mechanisms through which early-life nutrition can have lasting effects on bone density and integrity. He has pioneered studies that explore three main research areas:

Nutrition and Bone Development: This area of Dr. Chen’s research examines how dietary components such as protein, soy isoflavones, and vitamins affect bone formation and mineralization. His work has shown that early-life nutrition, particularly maternal diets during pregnancy, can impact skeletal development in children and influence their bone health throughout life.
Epigenetic Regulation of Bone Development: Dr. Chen investigates how environmental factors, like diet and stress, influence genetic expression through epigenetic modifications. He looks specifically at how maternal nutrition impacts the epigenetic programming of bone development in offspring, which could lead to new interventions for bone diseases.
Oxidative Stress and Bone Resorption: The role of oxidative stress in bone metabolism is another critical area of Dr. Chen’s research. He explores how conditions like obesity and diabetes increase oxidative stress, which in turn accelerates bone resorption and leads to bone loss. His goal is to identify dietary or pharmacological interventions that can reduce oxidative stress and preserve bone health.

Experience

Dr. Chen’s academic career has spanned over two decades, with increasing responsibility and leadership in both teaching and research:

Professor, Department of Pediatrics, Division of Developmental Nutrition, University of Arkansas for Medical Sciences (2025–Present): As a professor, Dr. Chen leads a research lab focused on pediatric bone health, nutrition, and the early-life determinants of metabolic bone disease. He is involved in teaching medical students, graduate students, and post-doctoral fellows, while also securing funding for ongoing research projects.
Associate Professor, Department of Pediatrics, Division of Gastroenterology, Hepatology and Nutrition, UAMS (2016–2025): In this role, Dr. Chen was responsible for overseeing research projects that linked nutritional factors to gastrointestinal health and bone development in children. He also led efforts to explore how nutrition can prevent diseases such as obesity, diabetes, and osteoporosis.
Research Lead Scientist, USDA ARS, Arkansas Children’s Nutrition Center (2015–2020): Dr. Chen led groundbreaking research aimed at understanding how early nutrition can prevent bone loss and metabolic diseases. His work with the USDA focused on identifying the effects of specific nutrients on bone health during pregnancy and early childhood.
Research Assistant Professor, Department of Pharmacology & Toxicology, UAMS (2005–2008): During this time, Dr. Chen conducted extensive research on the molecular mechanisms of bone diseases and the impact of pharmaceutical interventions on bone metabolism.
Postdoctoral Fellow, Department of Internal Medicine, UAMS (2000–2005): Dr. Chen’s postdoctoral work at UAMS focused on osteoporosis and metabolic bone disease, contributing valuable insights into the molecular underpinnings of these conditions.

Research Timeline

Dr. Chen’s research journey has been marked by key transitions, expanding his expertise and leadership in bone health research:

2000–2005: Postdoctoral Fellow at the University of Arkansas for Medical Sciences, where he specialized in osteoporosis and metabolic bone diseases, particularly focusing on the role of molecular signaling pathways in bone health.
2005–2008: Research Assistant Professor at UAMS, expanding his focus to include pharmacology and toxicology, with an emphasis on the effects of chemicals and medications on bone formation and resorption.
2008–2016: Assistant Professor, UAMS, where he started his independent research program focused on bone metabolism, nutrition, and pediatric bone health.
2016–2025: Associate Professor, UAMS, continuing to expand his research portfolio while taking on leadership roles in the Department of Pediatrics and at the Arkansas Children’s Nutrition Center.
2025–Present: Professor, UAMS, leading the Division of Developmental Nutrition and continuing to explore novel interventions to improve bone health during childhood and adolescence.

Awards & Honors

Dr. Chen has received numerous prestigious awards that reflect his contributions to the field of bone biochemistry and nutrition:

2023: Editorial Board, Nutrients (Pediatric Nutrition), recognizing his expertise and leadership in pediatric nutrition.
2022: Guest Editor for Nutrients Special Issue on Early Life Nutrition and Fetal Health, highlighting his role as a thought leader in this area.
2020: Research Academy Scholars, UAMS Division of Research and Innovation, for his outstanding contributions to translational research in pediatric health.
2017: Soy Health Research Program Award from the United Soybean Board for his research on the role of soy protein in bone health.
2011: ASBMR Best Abstract Award for research on bone mineral density and adiposity in adolescents.
2002: ASBMR Young Investigator Award for his groundbreaking research on bone metabolism and its connection to metabolic diseases.

Top-Noted Publications and Ongoing Research

Dr. Jin-Ran Chen continues to push the boundaries of knowledge in his field, with several notable publications and groundbreaking research. His recent work has focused on various aspects of bone health, nutrition, and metabolic diseases. A few of his prominent publications include:

“Soy Isoflavones Prevent Loss of Bone Quality Associated With High Fat Diet in Rats Through Ameliorating Epigenetic Modifications in Bone”
- Authors: JR Chen, P Caviness, B Belcher, O Lazarenko, J Chen, M Blackburn
- Journal: Current Developments in Nutrition
- Year: 2025
- This study explores the effects of soy isoflavones on bone quality in rats, highlighting their potential to reverse bone degradation linked to high-fat diets by influencing epigenetic changes in bone tissue.
“Sex-dependent Effect of GPR109A Gene Deletion in Myeloid Cells on Bone Development in Mice”
- Authors: PC Caviness, OP Lazarenko, ML Blackburn, JR Chen
- Journal: Research Square
- Year: 2025
- This research investigates the genetic regulation of bone development in mice, specifically focusing on how the deletion of the GPR109A gene in myeloid cells affects bone growth in a sex-dependent manner.
“Cystatin M/E Ameliorates Multiple Myeloma-Induced Hyper Osteolytic Bone Resorption”
- Authors: D Gai, PC Caviness, OP Lazarenko, JF Chen, CE Randolph, Z Zhang, et al.
- Journal: Cancers
- Year: 2025
- This study examines how Cystatin M/E mitigates the severe bone loss seen in multiple myeloma, offering a potential therapeutic target for bone resorption associated with cancer.
“Bone Tissue-Specific Delivery of Dietary Metabolite Phenolic Acids Using Clostridial Collagenase Collagen Binding Domain”
- Authors: P Caviness, O Lazarenko, M Blackburn, JR Chen
- Event: ASBMR 2024 Annual Meeting
- Year: 2024
- This ongoing research looks at the delivery of phenolic acids to bone tissue, aiming to improve bone health through targeted delivery systems.
“Bone Tissue-Specific Delivery of Cystatin E/M Proteins Using Clostridial Collagenase Collagen Binding Domain”
- Authors: P Caviness, O Lazarenko, M Blackburn, H Xu, Z Fenghuang, JR Chen
- Event: ASBMR 2024 Annual Meeting
- Year: 2024
- This presentation investigates the use of Cystatin E/M proteins in bone tissue-specific delivery to combat bone diseases.

Sima Gorai, Artificial Intelligence, Innovative Researcher Award

Posted on 23/07/2025 by scizentox scizentoxLeave a Comment

Doctorate Sima Gorai: Research Scholar at CSIR-National Geophysical Research Instutute, Uppal Road, Hyderabad, Telangana, India

Dr. Sima Gorai is a dedicated geologist with a strong background in geochemistry, geological mapping, and the innovative use of machine learning techniques for mineral exploration. She completed her Ph.D. from the CSIR-National Geophysical Research Institute (NGRI), Hyderabad, where her research focused on the geochemistry and hydrothermal processes of the Zawar Pb-Zn deposit in Rajasthan, India. Dr. Gorai is passionate about applying advanced geochemical analysis methods, such as LA-ICPMS, SEM, and EDS, along with machine learning, to better understand mineral deposits and their formation processes. Her work significantly contributes to the evolving field of geoscience, particularly in mineral exploration and classification.

Online Profiles

ORCID Profile

Dr. Gorai’s academic and professional achievements are well-documented across several academic platforms, including her ORCID here, Google Scholar, and ResearchGate, where she regularly shares her publications, conference talks, and collaborations. Her profile showcases an evolving portfolio of groundbreaking research focused on integrating geochemistry and machine learning for enhanced understanding of geological systems. Dr. Gorai also maintains an active presence in the academic community, contributing to various international conferences and seminars.

Education

Ph.D. in Geology and Geochemistry (2024), CSIR-NGRI, Hyderabad, India, focusing on the Zawar Pb-Zn deposit and machine learning applications in mineral classification.
M.Sc. in Applied Geology (2016), Indian Institute of Technology, ISM Dhanbad, where she specialized in mineral exploration and geochemical analysis.
B.Sc. in Geology (2011), University of Burdwan, West Bengal, laying the foundation for her expertise in geological studies.
Dr. Gorai’s academic journey is marked by a commitment to blending geological theory with cutting-edge technological approaches to better interpret geological data.

Research Focus

Dr. Gorai’s research primarily delves into the geochemistry and mineralogy of the Zawar Pb-Zn deposit, using state-of-the-art geochemical analysis techniques, such as ICPMS and LA-ICPMS, to study trace elements and rare earth elements. Her work integrates machine learning algorithms to classify and interpret complex geochemical data, a cutting-edge approach in geological research. Furthermore, Dr. Gorai investigates the hydrothermal alteration zones and the role of acidic brines in ore deposit formation, with particular emphasis on the Zawar deposit in the Aravalli Supergroup. Her innovative work in combining remote sensing data with geological mapping tools like ArcGIS and ERDAS is advancing the field of mineral exploration and contributing to more accurate deposit modeling.

Experience

Dr. Gorai’s research experience spans over 5 years at CSIR-NGRI, where she focused on the Zawar Pb-Zn deposits, applying her knowledge of geochemistry, remote sensing, and machine learning techniques. Her expertise includes conducting in-depth petrographic studies using SEM and EDS, as well as applying ICPMS and LA-ICPMS for trace and rare earth element analysis. In addition to her research work, Dr. Gorai served as a Project Associate for 8 months, focusing on applying machine learning algorithms to analyze geological data, specifically to trace pyrite origin in mineral deposits. She has collaborated extensively on several research papers and conference abstracts, showcasing her skills in geospatial analysis and predictive modeling for ore deposit classification. Dr. Gorai’s work continues to shape the direction of research in mineralogy and geochemistry, particularly within the context of modern machine learning applications.

Research Timeline

2016-2020: Dr. Gorai began her doctoral research at CSIR-NGRI, focusing on the detailed geochemical and mineralogical study of the Zawar Pb-Zn deposit. She integrated machine learning techniques to classify and analyze trace elements using LA-ICPMS and other advanced tools.
2020-2024: Post-doctoral work as a Project Associate, continuing research on the use of machine learning in geochemical data classification. She conducted studies on the origin of pyrite in the Zawar deposit and applied remote sensing for geological mapping.
Ongoing: Dr. Gorai is currently involved in multiple international collaborations, focusing on the integration of AI and remote sensing data for predicting ore deposit locations and understanding hydrothermal alteration patterns. She is also working on a significant paper regarding the role of acidic brines in ore deposit genesis.

Awards & Honors

CSIR-UGC NET (JRF & Lectureship): Rank 77, June 2017, recognizing her academic excellence in the field of geological sciences.
GATE 2014: Scored 318, qualifying in the geological sciences exam.
Goldschmidt Conference 2021 & 2022: Invited to present her research findings on geochemical processes in Pb-Zn deposits.
International Research Grants: Dr. Gorai received funding for various research projects focused on the integration of machine learning into geochemical exploration methods.
These awards and recognitions underscore Dr. Gorai’s contribution to the field of geology and geochemistry.

Top-Noted Publication

Gorai, S., et al. (2024). “Integration of Machine Learning with in-situ LA-ICP-MS Trace Element Analysis: Multi-Classification Approach Reveals the Hydrothermal Origin of Sphalerite in the Zawar Zn-Pb Deposit, Rajasthan, India.” Journal of Geological Society of India (Accepted). This publication stands out for its innovative approach to combining machine learning techniques with geochemical analysis, revealing new insights into the hydrothermal origins of sphalerite in one of India’s key mineral deposits.
Gorai, S., et al. (2024). “Integrated Remote Sensing and Petrographic Guide to Delineate the Hydrothermal Alteration Zones Along the Phyllites of the Main Zawar Fold, Rajasthan, India.” Journal of the Indian Society of Remote Sensing, 1-14. This paper integrates remote sensing data with petrographic studies to improve understanding of hydrothermal alteration zones in the Zawar deposit.

İlker Turan, Medicine, Best Researcher Award

Posted on 22/07/2025 by scizentox scizentoxLeave a Comment

Assoc. Prof. İlker Turan: Associate Professor at Ege University School of Medicine, Turkey

İlker Turan is an accomplished Associate Professor at Ege University’s Faculty of Medicine, specializing in Internal Medicine with a focus on Gastroenterology and Hepatology. With a career spanning over two decades, Dr. Turan has contributed significantly to both the clinical and academic landscapes, particularly in the diagnosis, treatment, and management of liver diseases, including cirrhosis, hepatitis, and hepatocellular carcinoma. His extensive research has made him a well-respected figure in the gastroenterology community, both in Turkey and internationally.

Online Profiles

ORCID Profile

Dr. İlker Turan is active in the global medical community, particularly in gastroenterology and hepatology. He is a prominent member of the European Society of Neurogastroenterology & Motility and the Turkish Gastroenterology Association. As an editorial board member for well-regarded journals such as the Turkish Journal of Gastroenterology and Hepatology Forum, Dr. Turan maintains an authoritative presence in the field. His published works and presentations at scientific conferences further solidify his standing as a thought leader.

Education

Dr. Turan completed his undergraduate education at Hacettepe University School of Medicine in 1999, earning his Bachelor’s Degree in Medicine. His postgraduate specialization in Internal Medicine was completed at Ege University in 2005, where he also obtained his Master’s degree in Gastroenterology. His research during this time focused on spontaneous bacterial peritonitis in cirrhotic patients and its diagnostic markers, laying the foundation for his future work in liver diseases.

Research Focus

Dr. Turan’s research interests lie primarily in the areas of liver diseases, particularly chronic hepatitis, cirrhosis, and hepatocellular carcinoma. His work has revolved around innovative methods for liver disease diagnosis, including non-invasive biomarkers, liver transplantation outcomes, and post-transplant patient management. Additionally, he has made substantial contributions to understanding gastrointestinal disorders such as gastroesophageal reflux disease (GERD), peptic ulcer disease, and endoscopic intervention techniques.

Experience

Dr. Turan has held significant academic positions at Ege University, where he began his career as a Specialist in Internal Medicine and later advanced to the rank of Assistant and Associate Professor. He has been deeply involved in supervising medical theses, particularly focusing on liver disease, hepatology, and transplantation. Outside of academia, Dr. Turan also fulfilled a state service obligation at Muğla State Hospital between 2008 and 2011, where he treated patients in a clinical setting, applying his knowledge to real-world cases and advancing his clinical expertise.

Research Timeline

Over the years, Dr. Turan’s research trajectory has followed an evolving and dynamic course. His recent projects (2021–2023) focused on outcomes in liver transplantation, identifying predictive biomarkers and demographic factors that influence survival rates. His contributions to studies on primary sclerosing cholangitis and hepatitis B treatment have earned him recognition in national and international circles. Dr. Turan’s studies often span years, ensuring depth and relevance to clinical practice, and continue to shape the current landscape of hepatology.

Awards & Honors

Dr. Turan has been the recipient of numerous awards that recognize his excellence in both research and clinical practice. Among these, the Poster Presentation Award from the Turkish Gastroenterology Association (2017) and the Presentation Award from the Turkish Liver Research Association (2015) stand out. His early career accomplishments include awards for academic presentations on geriatrics, further showcasing his broad expertise across various fields of medicine. These accolades highlight Dr. Turan’s consistent contributions to the advancement of medical knowledge and patient care.

Top-Noted Publication

Dr. Turan’s landmark publication, “Performance of Non-Invasive Fibrosis Markers in Biopsy-Proven Liver Disorders”, published in Hepatology Forum (2024), has received widespread acclaim. This research addresses the crucial issue of improving diagnostic techniques for liver fibrosis, with a focus on non-invasive methods that could replace biopsies in routine clinical practice. The study has been pivotal in establishing non-invasive markers as a reliable tool for liver disease management, and its impact continues to influence both research and clinical practice in gastroenterology.

Pre-transplant predictors of 3-Month survival following liver transplantation for acute liver failure in adult and pediatric patients in Türkiye
Scientific Reports
Date: 2025-07-19 | DOI: 10.1038/s41598-025-11298-y
This publication identifies key pre-transplant predictive factors for 3-month survival rates post-liver transplantation in both adult and pediatric populations with acute liver failure in Turkey. The research provides significant insights into improving the prognosis and survival outcomes after transplantation. Dr. İlker Turan, along with his collaborators, contributed to this study, which serves as a pivotal guide for clinical practices in liver transplantation.
The use of fully covered self-expandable metal stents in the endoscopic treatment of portal cavernoma cholangiopathy
BMC Gastroenterology
Date: 2023-11-28 | DOI: 10.1186/s12876-023-03042-5
This article focuses on the innovative use of fully covered self-expandable metal stents in treating portal cavernoma cholangiopathy through endoscopic procedures. Dr. Turan’s contribution underscores advancements in interventional gastroenterology, enhancing treatment outcomes for this challenging condition.
Karaciğer biyopsisi endikasyonlarında ve histopatolojik tanılarda yıllar içindeki değişim: 7 yıllık tek merkez deneyimi
Akademik Gastroenteroloji Dergisi
Date: 2022-08-25 | DOI: 10.17941/agd.1164387
Dr. Turan, alongside his team, evaluated the changes in liver biopsy indications and histopathological diagnoses over seven years in a single-center experience. This study provides invaluable data on trends and advancements in the use of liver biopsies, aiding in the understanding of evolving clinical practices in hepatology.
An Update on Usage of High-Risk Donors in Liver Transplantation
Journal of Clinical Medicine
Date: 2021-12-31 | DOI: 10.3390/jcm11010215
This publication reviews the clinical implications of using high-risk donors in liver transplantation. Dr. Turan’s involvement sheds light on the impact of donor risk factors on transplant outcomes, making it a key resource for clinicians involved in liver transplant decision-making.
Karaciğer, safra kesesi ve safra yolu kanserlerinde epidemiyoloji ve sağ kalım özellikleri
Ege Tıp Dergisi
Date: 2019-12-31 | DOI: 10.19161/etd.668367
This article delves into the epidemiology and survival characteristics of liver, gallbladder, and bile duct cancers in Turkey. Dr. Turan’s research highlights the clinical features and survival rates, offering significant insights into the management and prognosis of these cancers in the Turkish population.

Pradeep Kumar, Geography, Best Researcher Award

Posted on 22/07/202522/07/2025 by scizentox scizentoxLeave a Comment

Doctorate Pradeep Kumar: Assistant Professor at CSJMU Kanpur UP, India

Dr. Pradeep Kumar Rajput is an accomplished academic and researcher specializing in environmental science, hydrological processes, land-use/land-cover dynamics, and sustainable water conservation. He holds a Ph.D. in Hydrology from Bhopal University, India, and currently serves as an Assistant Professor at the School of Basic Sciences, CSJMU Kanpur. His work spans diverse topics including GIS, remote sensing, climate change, and occupational health, with a particular emphasis on how land use influences water systems. Through his extensive teaching and research, Dr. Rajput contributes to both environmental protection and sustainable development in India and globally.

Online Profiles

ORCID Profile

Education

Dr. Rajput’s educational background is anchored in the natural and environmental sciences. He earned his Ph.D. in the assessment of hydrological processes and land-use effects in the Tawa River Basin, Madhya Pradesh, from Bhopal University in 2024. His M.Sc. in Life Sciences from DAVV Indore (2014) and Post Graduate Diploma in Remote Sensing and GIS from the University of Allahabad (2012) laid the foundation for his interdisciplinary expertise in environmental research. His B.Sc. in Botany, Chemistry, and Microbiology from Barkatullah University, Bhopal (2009), further solidified his understanding of environmental biology and ecosystems.

Research Focus

Dr. Rajput’s research integrates hydrology, GIS, remote sensing, and climate science to investigate land-use and land-cover change, forest connectivity, water conservation, and climate change impacts. His work particularly highlights the application of spatial data to improve environmental management, flood planning, and sustainable land-use practices. He is deeply involved in forest phenology studies, exploring the relationship between climate change and forest ecosystems. Furthermore, Dr. Rajput is keen on understanding the interrelationship between urban development and environmental health, with a focus on urban floods, water management, and the effects of industrial practices on human health.

Experience

With a rich academic and research portfolio, Dr. Rajput has held key positions in prominent academic and research institutions. He served as an Assistant Professor at The Maharaja Sayajirao University of Baroda (2020–2022), where he taught graduate and postgraduate courses in urban planning, disaster management, and ecological planning. He has also contributed significantly to environmental health research during his tenure as an Information Officer at ICMR NIOH (2018–2020). His administrative experience includes program coordination, curriculum development, and student support, further enhancing his role in shaping the next generation of environmental professionals. Dr. Rajput’s work at the Climate Change Research Center in Madhya Pradesh (2022–2024) involved critical research on forest biomass and climate change mitigation strategies.

Research Timeline

2024: Ongoing Ph.D. research on hydrological processes in the Tawa River Basin, analyzing the impact of land-use changes.
2022–2024: Working as a Research Associate at the Madhya Pradesh Council of Science and Technology, leading studies on forest phenology and climate change mitigation.
2021–2022: Engaged in the NISAR Project on forest biomass estimation, contributing to NASA’s and ISRO’s collaborative efforts for environmental monitoring.
2018–2020: Conducted extensive research on occupational health hazards and environmental management at ICMR NIOH.
2016–2017: Worked on geospatial modeling and GIS applications at Barkatullah University, Bhopal, focusing on urban planning and environmental health.

Awards & Honors

Dr. Rajput has received multiple recognitions for his pioneering work in the field of environmental science and occupational health. He was honored with the Young Researcher Award at the International Conference on Renewable Energy in 2022 and has been a recipient of several Best Paper Awards at international conferences. His commitment to sustainable environmental practices and education has earned him the Green Skill Development Program Leadership Award in 2019. Additionally, he has been consistently invited as a reviewer for top-tier international journals such as Springer Nature and Elsevier.

Top-Noted Publications

Rajput, P. (2024). “Mapping and Analyzing Land Use/Land Cover Changes: A Case Study of Tawa River Basin, Hoshangabad.” Journal of Forest Research, 13(1), ISSN: 2168-9776.
Rajput, P. (2024). “Planning for Sustainable Water Conservation in a Globalized Regional Framework.” Journal of Geography & Natural Disasters, 14(4), ISSN: 2167-0587.
Rajput, P., Singh, RD. (2017). “Geophysical Monitoring and Evaluation Criteria of Climate Change.” International Journal of Climatology and Weather Forecast, 5(1), ISSN: 2332-2594.
Rajput, P. (2020). “Occupational Health Hazards Related to Informal Recycling of E-Waste in India.” ICMR ENVIS-NIOH, ISSN: 2393-8943.
Rajput, P., Sharma, L.K. (2020). “Workplace Heat & Health: Climate Change Perspective.” ICMR ENVIS-NIOH, ISSN: 2393-8943.