Faculty Member ,Arak University, Iran

Hossein Ghaffarian has demonstrated a solid commitment to the field of computer engineering. His academic role suggests a deep expertise in the field, contributing both to research and to educating future generations of engineers. His research has the potential for substantial impact, especially within emerging areas of technology.

While his contributions are promising, further expanding his network, increasing his public engagement, and seeking more global collaborations could take his research to the next level. These efforts could not only improve his visibility but also enhance the relevance and real-world application of his work.

Publication Profile

Google Scholar

Education:

Hossein Ghaffarian has an extensive academic background in Computer Engineering. He completed his Ph.D. in Computer Systems Architecture at Iran University of Science and Technology, Tehran, Iran, in 2014. Before his Ph.D., he obtained his M.Sc. in the same field from the same institution in 2008. His educational journey began with a B.Sc. in Computer Software Engineering from Shahid Bahonar University of Kerman in 2004, followed by an A.Sc. in the same field in 2002. Additionally, he pursued research studies at the Bahan Center, University of Toronto, Canada, from August 2011 to January 2012. Hossein’s education further includes an industrial postdoctoral position at the Electric Distribution Company of Markazi Province in Iran (Dec 2019–Dec 2020).

Professional Experience:

Hossein has accumulated extensive professional experience both in academia and industry. He has been a faculty member at Arak University since 2017, where he teaches various courses, including Data Mining, Advanced Computer Networks, Cloud Computing, Fuzzy Systems, and more. He also has lectured at several other institutions, including Iran University of Science and Technology, Islamic Azad University, and International University of Imam Reza. His industry experience includes roles such as IT and Product Manager at Sanaat Yar Afzar Iranian (since January 2024) and IT and ITS Consultant at Mana-Rayka Company (Nov 2017–Mar 2018). Hossein has also worked as a consultant professor for the Computer Engineering Students Association at Arak University and as an academic consultant for the Ministry of Education in Iran.

Skills and Expertise:

Hossein possesses a wide range of technical skills, particularly in programming and software development. He is proficient in several programming languages, including C/C++, Pascal, Matlab, Python, and Visual Basic .Net. His expertise also extends to areas such as computer networks, data security, fuzzy systems, and cloud computing.

Research Focus:

Dr. Ghaffarian’s research interests span a variety of key areas in computer networks and artificial intelligence. His primary focus includes wired and wireless computer networks, quality of service, security, indoor localization, and intelligent transportation systems. He also has a strong background in data mining, fuzzy systems, artificial neural networks (ANN), and applied artificial intelligence (AI). His Ph.D. thesis focused on modeling and evaluating mobility models of vehicles on communications and planning for Infrastructured Vehicular Ad-hoc Networks (VANETs), while his M.Sc. thesis dealt with improving the quality of service in the IEEE 802.16 standard.

Awards and Recognitions:

Dr. Ghaffarian has received numerous awards and recognition throughout his career. He was awarded the Fourth Place in the first Philips Parrot Idea Contest in May 2011. In addition, his outstanding research contributions were recognized with the Best Paper Award at the 5th IEEE International Conference on Internet of Things and Applications (IoT 2021) in Isfahan, Iran.

Publication :

Ghaffarian, H., Fathy, M., & Soryani, M. (2007). Best Delay Condition Estimation on Transmission Channel in WiMAX Mesh Networks Using Distributed Scheduling. 3rd International Conference on Information and Knowledge Technology, Mashhad, Iran, November 2007 (in Farsi).
- Afzali, M., Ghaffarian, H., & Fathy, M. (2008). Maximum Utilization of Channel Bandwidth Using Maximum Likelihood in Concurrent Communication in WiMAX. 13th Computer Society of Iran Computer Conference, Kish, Iran, March 2008 (in Farsi).
- Ghaffarian, H., Fathy, M., & Soryani, M. (2008). Channel Access Delay Analysis of IEEE 802.16 Best Effort Services. INFOCOM Mobile Networks for Vehicular Environment Workshop, Phoenix, USA, April 2008.
- Ghaffarian, H., Fathy, M., & Soryani, M. (2008). Throughput Enhancement in WiMAX Mesh Networks Using Greedy Scheduling. 16th Iranian Conference on Electrical Engineering, Tehran, Iran, May 2008 (in Farsi).
- Ghaffarian, H., & Afzali, M. (2008). Investigation of Wireless Metropolitan Area Networks Effect on Information and Communication Technology Development. First Workshop on Wireless Broadband Access for Communities and Rural Developing Regions, Karlstad, Sweden, December 2008.
- Afzali, M., & Ghaffarian, H. (2009). Efficient Use of Channel Bandwidth in WiMAX Mesh Network Using Concurrent Transmission. 5th IEEE-GCC 2009-Communications and Signal Processing, Kuwait, Kuwait, March 2009.
- Ghaffarian, H., Mozayani, N., Fathy, M., & Soryani, M. (2009). Improving Performance of Weighted Round Robin Algorithm Using Fuzzy. 17th Iranian Conference on Electrical Engineering, Tehran, Iran, May 2009 (in Farsi).
- Lakani, S., Fathy, M., & Ghaffarian, H. (2009). A New Approach to Improve the Efficiency of Distributed Scheduling in IEEE 802.16 Mesh Networks. International Journal of Recent Trends in Engineering (Computer Science), 1(1), 344-348, June 2009.
- Ghaffarian, H., Parvin, H., & Minaei, B. (2009). A New Approach in Feature Subset Selection based on Fuzzy Entropy Concept. 14th International Computer Society of Iran Computer Conference, Tehran, Iran, October 2009.
- Farahani, B. J., Ghaffarian, H., & Fathy, M. (2009). A Fuzzy Based Priority Approach in Mobile Sensor Network Coverage. International Journal of Recent Trends in Engineering, 2(1), November 2009.
- Ghaffarian, H., Farahani, B. J., & Saravi, M. (2009). Designing a Movement Control System of an Autonomous Robot with Ability to Tackle the Environmental Distortion while Moving. International Journal of Recent Trends in Engineering, 2(1), November 2009.
- Omidvar Mohammadi, H., Fathy, M., & Ghaffarian, H. (2010). Reducing Sensors’ Movement Using Simple Iterative Virtual Movement. The Sixth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2010), Brisbane, Australia, December 2010.
- Lakani, S., Ghaffarian, H., Fathy, M., & Raahemi, B. (2010). A Neighbor-based Holdoff Reduction Scheme for Distributed Scheduling in Wireless Mesh Networks. IEEE 6th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Canada, October 2010.
- Parvin, H., Minaei-Bidgoli, B., & Ghaffarian, H. (2011). An Innovative Feature Selection Using Fuzzy Entropy. Lecture Notes in Computer Science, Volume 6677, Advances in Neural Networks – ISNN 2011, 576-585, China, March 2011.
- Ghaffarian, H., Fathy, M., & Soryani, M. (2012). Vehicular Ad Hoc Networks Enabled Traffic Controller for Removing Traffic Lights in Isolated Intersections Based on Integer Linear Programming. IET Intelligent Transport Systems Journal, 6(2), 115-123, June 2012.
- Pirmohammadi, F., Fathy, M., & Ghaffarian, H. (2012). TCP and UDP Fairness in Vehicular Ad Hoc Networks. International Journal of Emerging Technology and Advanced Engineering, 2(6), 111-118, June 2012.

conclusion:

Based on the available information, Hossein Ghaffarian is a strong candidate for the Best Researcher Award. His technical proficiency, coupled with his ongoing contributions to academia, make him a valuable asset to the research community. By continuing to expand his interdisciplinary connections, engaging in more public outreach, and growing his international presence, Hossein can further solidify his place as a leading researcher in the field of computer engineering.

Overall, Hossein demonstrates the qualities and potential required for this award, and with minor improvements in specific areas, his future contributions to the field will likely be even more impactful.

Setia Sari Girsang | Soil Science and Plant Nutrition | Best Researcher Award

Posted on 02/04/2025 by 21b4bddf87157652317827146367558f

Dr Setia Sari Girsang| Soil Science and Plant Nutrition | Best Researcher Award

Research Professor ,National Research and Innovation Agency, Indonesia

Dr. Setia Sari Br Girsang is a dedicated and accomplished researcher in the field of food crops. As a Research Professor with extensive experience, her contributions to agricultural research have been of great significance. Her expertise, leadership, and commitment to advancing knowledge in the field are worthy of recognition. However, further expanding her collaborations, public outreach, and interdisciplinary work could enhance the impact of her research.

Publication Profile

Google Scholar

Education:

Doctorate (Ph.D.)
Field of Study: Soil Science
University: Universitas Sumatera Utara
Year: 2000
Master’s Degree
Field of Study: Soil Science
University: Universitas Sumatera Utara
Year: 2007
Bachelor’s Degree
Field of Study: Soil and Environmental Science
University: University of the Philippines Los Banos
Year: 2016

Professional Experience:

September 26, 2024 – Present
Institution: National Research and Innovation Agency
Work Unit: Agricultural and Food Research Organization
Position: Professor
September 1, 2022 – Present
Institution: National Research and Innovation Agency
Work Unit: Agricultural and Food Research Organization
Position: Head of the Research Group for Location-Specific Innovation Technologies for the Management of Dry, Wet Climate, Acidic, or Other Sub-optimal Land.
November 15, 2021 – September 25, 2024
Institution: Ministry of Agriculture, Indonesian Agency for Agricultural Research and Development (IAARD)
Position: Senior Researcher
2020
Training: Agriculture Policy – Promoting Competitiveness Short Term Award
Organizer: The Australia Awards in Indonesia
Location: Brisbane, Canberra, Sydney, Melbourne, Australia
2020
Training: Training on Sustainability Standard and Performance Indicators (SRP v.2.0) in Indonesia
Organizer: International Rice Research Institute
Location: Bogor, Indonesia
Field of Expertise: Soil Science and Plant Nutrition
- 2023-2025:
  Research Topic: Precision Technology Information System for Rice Fertilization in Indonesia
- 2024:
  Research Topic: Development of Agricultural Commodities Based on Areas and Analysis of Superior Regional Products in the Agricultural Sector of Pakpak Bharat Regency.
- 2024:
  Research Topic: Optimization of Zn Content and Rice Production through the Utilization of Zn-Solubilizing Microbes and Agricultural Waste in Tidal Lands to Support the Reduction of Stunting in Indonesia.
- 2024:
  Research Topic: Phosphate Management Technology in Andisol Soil by Utilizing Rhizosphere Microbes as Biofertilizer to Support Sustainable Precision Farming of Shallots.
- 2024:
  Research Topic: Research and Utilization of Biomass Waste to Increase Corn Plant Productivity on Acidic Dry Land in Lampung Province.
- 2023:
  Research Topic: Nitrogen Efficiency of Sorghum Plants in Acidic Dry Land as an Alternative Source of Animal Feed in North Sumatra.
- 2022:
  Research Topic: Evaluation of Water Adequacy in Supporting Sorghum Growth and Production in Dry Lands.

Skills and Expertise:

Dr. Girsang is highly skilled in research methodologies related to crop production and food sustainability. Her expertise in managing agricultural studies, coupled with advanced analytical skills, positions her as a prominent figure in her field. She is also adept at overseeing large-scale research projects and collaborating with interdisciplinary teams to achieve impactful results.

Research Focus:

Her research primarily revolves around improving agricultural practices, with a specific focus on food crop production and the enhancement of food security. Her work is centered on discovering innovative solutions to boost crop yields, reduce food waste, and address the challenges faced by the agricultural sector in sustaining global food demands.

Awards and Recognitions:

Satya Lencana Karya (20 Years of Service Award): Awarded in 2023 in recognition of [outstanding service, dedication, and contributions to research and development in the field of food crops and agriculture].

Publication :

Setia Sari Br Girsang, et al. (2025). “Site-specific nutrient management for rice using soil properties to adjust phosphorus and potassium supply from compound NPK fertilizer.” Field Crops Research. DOI: 10.1016/j.fcr.2025.109864.
Setia Sari Br Girsang, et al. (2025). “Dynamics prediction of land use changes using cellular automata and artificial neural network modeling.” Global Journal of Environmental Science and Management (GJESM). DOI: 10.22034/gjesm.2025.02.042024.
Setia Sari Br Girsang, et al. (2024). “Rapid determination of site-specific N, P, and K management for rice in a tidal swampland.” Nutrient Cycling in Agroecosystems. DOI: 10.1007/s10705-024-10337-w.
Setia Sari Br Girsang, et al. (2024). “Application of chicken manure compost and the amount of water on Sorghum yield and improvement of sub-optimal soil properties.” International Journal of Recycling of Organic Waste in Agriculture (IJROWA). DOI: 10.57647/ijrowa-4wdr-v824.
Setia Sari Br Girsang, et al. (2023). “Mid-season adjustment of nitrogen fertilizer for rice with two plant spacings.” Field Crops Research. DOI: 10.1016/j.fcr.2023.109081.
Setia Sari Br Girsang, et al. (2023). “Application of Eco-Enzyme Solution as a Multipurpose Liquid Fertilizer to Enhance Performance of Sorghum Varieties.” agriTECH, 44(3), 189-196. DOI: 10.22146/agritech.86048.
Setia Sari Br Girsang, et al. (2023). “Assessing the Challenges and Opportunities of Agricultural Information Systems to Enhance Farmers’ Capacity and Target Rice Production in Sustainability.” Sustainability. DOI: 10.3390/su15021114.

conclusion:

Dr. Setia Sari Br Girsang’s qualifications, contributions, and dedication to agricultural research make her a strong candidate for the Best Researcher Award. With a few enhancements in global collaboration, public communication, and interdisciplinary approaches, her work can continue to grow in impact and influence, benefiting both local and global communities.

VIPIN PACHOURI | Continuum Robotics | Best Researcher Award

Posted on 02/04/202502/04/2025 by 21b4bddf87157652317827146367558f

Dr. VIPIN PACHOURI | Continuum Robotics | Best Researcher Award

Dr.VIPIN PACHOURI ,IIT Roorkee, India

Dr. Vishal Pachouri is a highly suitable candidate for the Best Researcher Award, given his exceptional contributions in robotics, control systems, and medical device technology. His patents, research funding, industrial experience, and leadership in academia set him apart. To further solidify his candidacy, expanding high-impact publications, industry collaborations, and patent commercialization would enhance his research legacy.

Publication Profile

Google Scholar

Education:

Dr. Vishal Pachouri has an extensive academic background in mechanical and robotics engineering. He completed his Ph.D. (submitted in 2024) at the Indian Institute of Technology (IIT) Roorkee with a CGPA of 7.8/10, focusing on model-based development of robotic systems. Prior to this, he obtained his M.Tech in Machine Design from the National Institute of Technology (NIT) Uttarakhand in 2018 with a CGPA of 8.2/10. His undergraduate studies were in Mechanical Engineering at Uttar Pradesh Technical University, Lucknow, where he graduated in 2014 with an 80% score.

Professional Experience:

Dr. Pachouri has a robust industrial and research background. Currently, he serves as a Specialist and Configuration Controller at Tata Elxsi’s Healthcare and Life Science Business Unit (HLSBU), where he leads robotic development for medical devices, including AI-integrated nursing robots and robotic medical beds. His responsibilities encompass product ownership, DFMEA, risk assessment, and software development under the V-model framework.Previously, as a Doctoral Researcher at the Robotics & Control Laboratory, IIT Roorkee (2018-2023), he worked extensively on Model-Based Design (MBD) of robotic systems, focusing on inverse kinematic control, stiffness-based flexible arm control, and developing a patented soft robotic arm. Additionally, he has held research positions at CRIStAL UMR-CNRS, University de Lille, France, conducting workspace evaluation and Hardware-In-Loop (HIL) simulations for robotic manipulators.

Skills and Expertise:

Dr. Pachouri specializes in robotic system kinematics, dynamics, and control, mechatronic systems, model-based development (MBD), and medical robotics. He is proficient in computational tools such as MATLAB, Simulink, SimScape, Python, and SolidWorks, along with project management tools like JIRA and Gerrit. His expertise extends to design, risk analysis (DFMEA), system architecture, and control algorithms for robotic applications.

Research Focus:

His research centers on the design and control of robotic and mechatronic systems, including soft robotics, tendon-driven manipulators, and mobile bionic robots. He has contributed significantly to inverse kinematics, workspace optimization, and AI-driven robotic applications. His patented work includes a tendon-driven continuum robotic arm and an AI-based tomato harvesting mobile bionic robot for uneven terrains.

Awards and Recognitions:

Dr. Pachouri has received numerous accolades, including:DST NIDHI PRAYAS Grant of INR 10 Lakh for innovative robotic solutions.,Mitacs Globalink Research Award (2023) worth $6000 CAD.,Runner-up in Poster Presentation at the MIED Department Research Scholar Day (2022).,MHRD scholarships during his Master’s (2 years) and Ph.D. (5 years).,GATE-qualified in 2015 and 2016.

Publication :

Kinematics Model of Bionic Manipulator by Using Elliptic Integral Approach
- Authors: MK Mishra, AK Samantaray, G Chakraborty, V Pachouri, PM Pathak, R Merzouki
- Published In: Machines, Mechanism and Robotics
- Pages: 319-325
- Citations: 5
- Year: 2022
Inverse Kinematic Model of a Cable-Driven Continuum Manipulator
- Authors: V Pachouri, PM Pathak
- Published In: Advances in Industrial Machines and Mechanisms
- Pages: 553-564
- Citations: 4
- Year: 2021
Design and Modeling of a Planar-to-Spatial Tendon-Driven Continuum Manipulator Subjected to Uncertain Forces
- Authors: V Pachouri, PM Pathak
- Published In: Robotics and Autonomous Systems
- DOI: 170, 104551
- Citations: 2
- Year: 2023
Workspace Evaluation of Robotino-XT Under Reconfiguration
- Authors: V Pachouri, PM Pathak, MK Mishra, AK Samantaray, R Merzouki
- Published In: Machines, Mechanism and Robotics
- Pages: 281-288
- Citations: 2
- Year: 2022
Active Vibration Suppression of Smart Plate Structure with Fractional-Order PID Controller
- Authors: V Pachouri, A Sharma
- Published In: International Journal of Mechanical and Production Engineering Research and Development
- Citations: 2
- Year: 2018
Controlling Tendons to Modulate Stiffness of a Planar-to-Spatial Tendon-Driven Continuum Manipulator Under External Uncertain Forces
- Authors: V Pachouri, PM Pathak
- Published In: Journal of Bionic Engineering
- Volume: 21 (2), 821-841
- Citations: 1
- Year: 2024
Dynamic Modeling of Planar Multi-Section Tendon-Driven Continuum Manipulator (TDCM) Using Euler–Lagrange Formulation
- Authors: V Pachouri, PM Pathak
- Published In: Recent Advances in Machines and Mechanisms: Select Proceedings
- Year: 2022
Kinematics Model of Bionic Manipulator by Using Elliptic Integral Approach
- Authors: V Pachouri, PM Pathak, R Merzouki
- Published In: Machines, Mechanism and Robotics: Proceedings of iNaCoMM 2019
- Page: 319
- Year: 2021

conclusion:

Sadjad’s overall profile is well-rounded with strengths across research, academia, technical skills, and professional experience.
Continued focus on expanding publication reach, collaboration, and public speaking could further elevate his visibility and impact in the research community.
With his dedication and achievements, Sadjad is well-positioned for recognition in research excellence.

In conclusion, Sadjad is a strong candidate for the award, and with a few adjustments in outreach and collaboration, he could continue to make significant strides in the research world.

Sajad Rezvani | Computer vision | Excellence in Research

Posted on 29/03/2025 by 21b4bddf87157652317827146367558f

Mr Sajad Rezvani | Computer vision | Excellence in Research

Shahrood University of Technology , Iran

Sadjad Rezvani is a highly qualified candidate for the Research for Excellence in Research award. His impressive academic achievements, impactful research contributions, technical expertise, and leadership in mentoring make him a strong contender. His work in masked face recognition, medical image analysis, and image segmentation reflects both the depth and relevance of his research in today’s rapidly evolving tech landscape.

Publication Profile

scopus

Education :

Sadjad Rezvani holds a Master of Science in Computer Engineering with a specialization in Artificial Intelligence from Shahrood University of Technology, Iran. He completed his master’s degree between September 2020 and September 2022, graduating with a GPA of 4/4 (18.59/20). His thesis was titled “Masked Face Recognition Using Deep Learning,” under the guidance of Professor Mansoor Fateh. Prior to this, Sadjad earned his Bachelor of Science in Computer Engineering, specializing in Software Engineering, from Shahrood University of Technology, completing his degree between September 2015 and September 2019 with a GPA of 3.53/4 (16.92/20). His undergraduate thesis was titled “Profiling Web Applications to Improve Intrusion Detection,” supervised by Professor Mohsen Rezvani.

Professional Experience:

Sadjad has practical experience as a Computer Vision Software Engineer in several industries. He worked at Hookan Salt Factory in Shiraz, Iran, from November 2020 to September 2021, where he contributed to the development of a Salt Crack Sorting Machine. In this role, he employed advanced image processing techniques to detect salt impurities in real-time, utilizing tools such as OpenCV, Python, C#, and C++. Additionally, he worked at Shahaab, CO from June 2019 to December 2023 on a Plate Recognition Software project, where he contributed to a system that recognized license plates using CCTV camera data. His work involved maintaining and improving the software using C#, SQL, and other related technologies.

Research Skills:

Sadjad is highly skilled in programming languages such as Python, C++, and C#, and has a strong background in Machine Learning frameworks including PyTorch, TensorFlow, and Scikit-Learn. He is proficient in Computer Vision tools like OpenCV and has experience with databases such as Microsoft SQL Server and MySQL. His technical expertise also extends to advanced image processing, AI for medical diagnosis, and deep learning-based solutions for real-world applications.

Research Focus :

Sadjad’s research interests include Machine Learning (ML), Deep Learning (DL), Generative AI (GenAI), Medical Image Analysis, Limited Data Solutions, and Domain Adaptation. He has contributed to several journal publications, such as the development of ABANet: Attention Boundary-Aware Network for Image Segmentation (2024) and a paper on Single Image Denoising via a New Lightweight Learning-Based Model (2024), among others. His academic research also includes the application of deep learning models for lung CT image segmentation and innovations in masked face recognition using deep learning.

Awards :

Sadjad has received recognition for his achievements, including being a member of Iran’s National Elites Foundation in 2023 and being the third-ranked student in his Master of Science program. His certifications include AI for Medical Diagnosis from DeepLearning.AI (Coursera, 2023), Python Project for Data Science from IBM (Coursera, 2022), and specialization courses in Generative Adversarial Networks (GANs) and Machine Learning from Stanford University.

Honours and Awards

Member of Iran’s National Elites Foundation, 2023
Third-ranked student in the Master of Science in Computer Science program, 2022

Publication :

- Rezvani, S., Fateh, M., & Khosravi, H. (2024). ABANet: Attention Boundary-Aware Network for Image Segmentation. Expert Systems, e13625. [Published May 2024]
- Rezvani, S., Soleymani Siahkar, F., Rezvani, Y., Alavi Gharahbagh, A., & Abolghasemi, V. (2024). Single Image Denoising via a New Lightweight Learning-Based Model. IEEE Access, August 2024.
- Rezvani, S., Fateh, M., Fateh, A., & Jalali, Y. (2024). FusionLungNet: Multi-scale Fusion Convolution with Refinement Network for Lung CT Image Segmentation. Biomedical Signal Processing and Control, Revised Sep 2024.

conclusion:

Sadjad’s overall profile is well-rounded with strengths across research, academia, technical skills, and professional experience.
Continued focus on expanding publication reach, collaboration, and public speaking could further elevate his visibility and impact in the research community.
With his dedication and achievements, Sadjad is well-positioned for recognition in research excellence.

In conclusion, Sadjad is a strong candidate for the award, and with a few adjustments in outreach and collaboration, he could continue to make significant strides in the research world.

Hasnain Moavia| Life Sciences | Best Researcher Award

Posted on 29/03/2025 by 21b4bddf87157652317827146367558f

Mr Hasnain Moavia| Life Sciences | Best Researcher Award

Junior Research Assistant, Nanjing Forestry University, Pakistan

Hasnain Moavia is a promising researcher with strong technical expertise and a deep commitment to advancing our understanding of plant physiology and environmental issues. His academic achievements, research experience, leadership in mentoring, and publications highlight his significant potential. His current research interests in plant-microbe interactions and the molecular biology of abiotic stresses show promise in addressing crucial environmental challenges, particularly in regions impacted by heavy metal contamination.

Publication Profile

scopus

Education :

Master of Science (MS) in Botany
10/09/2022 – Current
Nanjing Forestry University, Nanjing, China
Field of Study: Botany
Final Grade: 3.97/5
Thesis: Investigation on Plant Diversity in Heavy Metal Contaminated Sites in Northern Jiangsu Province

Bachelor of Science (BS) in Botany
20/11/2016 – 21/12/2020
Government College University Faisalabad, Pakistan
Field of Study: Botany
Final Grade: 3.50/4

Professional Experience:

M.Phil. Research
20/03/2021 – 10/05/2023
Department of Botany, Nanjing Forestry University

Designed and executed a comprehensive fieldwork study to assess the growth and health of plants under different stress conditions.
Utilized various physiological and biochemical laboratory techniques to analyze soil and plant samples.
Assisted in supervising and training junior researchers and students in lab techniques, fostering a collaborative and supportive research environment.
Gathered, compiled, and analyzed data using statistical software like IBM SPSS and Microsoft Excel to draw meaningful conclusions from experimental results.

Research Skills:

Microsoft Office
Google Docs
IBM SPSS (IBM Analytics)
Microsoft Excel
Endnote
Reference Management Software (Zotero, EndNote)
Origin Lab

Research Focus :

Soil Ecology
Plant Physiology and Molecular Biology of Abiotic Stresses (petroleum hydrocarbons, metals, drought, etc.)
Plant-Microbe Interactions

Publication :

Zhang, K., Cen, R., Moavia, H., Shen, Y., Ebihara, A., Wang, G., Yang, T., Sakrabani, R., Singh, K., & Feng, Y. (2024).
The role of biochar nanomaterials in the application of environmental remediation and pollution control.
Liu, G., Ke, D., Moavia, H., Ling, C., Zhang, Y., & Shen, Y. (2024).
Ecological Concrete-Based Modular System for Heavy Metal Removal in Riparian Transition Zones: Design, Optimization and Performance Evaluation.

conclusion:

Hasnain Moavia’s research experience, academic performance, technical skills, and contributions to environmental science position him as a strong candidate for the Best Researcher Award. His ongoing focus on environmental sustainability, combined with his international exposure and proficiency in multiple languages, gives him a unique edge in contributing to global environmental solutions. With further emphasis on expanding his research network and leadership roles, he has the potential to continue making significant contributions to the field of botany and environmental science.

Ashiq Ali| Pathology | Best Researcher Award

Posted on 29/03/202529/03/2025 by 21b4bddf87157652317827146367558f

Dr. Ashiq Ali| Pathology | Best Researcher Award

Postdoctoral Fellow, Shantou University Medical College, China

Dr. Ashiq Ali is a highly qualified researcher with expertise in pathology, immunology, and molecular biology. His research spans cancer epigenetics, immunoproteomics, and molecular diagnostics, supported by hands-on experience in advanced laboratory techniques. His teaching experience, international postdoctoral work, and academic excellence position him as a strong candidate. However, strengthening his publication record, research funding, and leadership roles would make his profile even more compelling for the award.

Publication Profile

scopus

Education :

Dr. Ashiq Ali holds a Ph.D. in Immunopathology from the University of Agriculture Faisalabad, Pakistan (2016-2022). His doctoral research focused on advanced immunological techniques and disease diagnosis. He also earned an M.Phil. in Pathology (2014-2016) and a Doctor of Veterinary Medicine (DVM) degree (2009-2014) from the same institution, laying a strong foundation in veterinary sciences and pathology.

Professional Experience:

Dr. Ali is currently a Postdoctoral Fellow at Shantou University Medical College, China (June 2023 – present), where he engages in high-impact research in immunology, pathology, and medical microbiology. Previously, he served as an Assistant Professor at Superior University, Lahore, Pakistan (June 2022 – June 2023), where he taught courses such as Immunology, Medical Virology, Medical Bacteriology, and Medical Microbiology while mentoring students.He also worked as a Teaching Assistant at the University of Agriculture Faisalabad (2018-2019), where he played a key role in delivering lectures, supervising laboratory sessions, and guiding undergraduate and graduate research projects. His earlier experience as a Research Assistant (2016-2020) involved extensive laboratory work in molecular biology, microbiology, and immunology.

Technical & Research Skills:

Dr. Ali possesses expertise in,Molecular Biology & Immunology: PCR, RT-qPCR, gene expression analysis, and B and T cell determination.,Pathological & Clinical Techniques: Histopathology, immunohistochemistry, hematological analysis, and antigen studies.Microbiological & Virological Research: Isolation and identification of bacteria, antimicrobial susceptibility testing, virus cultivation in embryonated eggs, and vaccine development.,Toxicology & Biodegradation Studies: DNA damage assessment, mycotoxin quantification, and probiotic-based detoxification strategies.,Biological & Immunological Assays: ELISA, flow cytometry, and serological techniques for disease diagnosis.

Academic Awards :

Dr. Ali has received several prestigious scholarships and fellowships, including:,Merit Scholarship during his M.Phil. at the University of Agriculture Faisalabad (2014-2016).Indigenous Ph.D. Fellowship awarded by the Higher Education Commission (HEC) of Pakistan (2018-2022).

Research Focus :

Dr. Ali’s research primarily revolves around immunopathology, molecular diagnostics, and disease prevention. His key research contributions include:Cancer Epigenetics & Tumor Identification using histopathology and immunohistochemistry.Development of Vaccines & Immunogenic Studies, including Newcastle disease vaccine development.Therapeutic Potential of Interferons against viral infections in poultry models.Probiotic-Based Mycotoxin Degradation to mitigate aflatoxin toxicity.Nanoparticle-Antibiotic Synergy in combating antibiotic-resistant bacterial strains.

Publication :

Immune watchdogs: Tissue-resident lymphocytes as key players in cancer defense”**
Authors: Ashiq Ali, Khadija Younis, Aisha Khatoon, Bilal Murtaza, Ziyi Jia, Kaynaat Akbar, Qaisar Tanveer, Sami Ullah Khan Bahadur, Zhongjing Su
Journal: Critical Reviews in Oncology and Hematology
Year: 2025
Citations: Not availableAD Scientific Index+1Goodreads+1
**”Novel yeast Pichia kudriavzevii alleviates aflatoxins induced toxicopathology in broiler chickens through immunomodulation and antioxidant enhancement”**
Authors: Ashiq Ali, Aisha Khatoon, Muhammad Kashif Saleemi, Rao Zahid Abbas, Bilal Murtaza, Kaynaat Akbar, Qaisar Tanveer, Sami Ullah Khan Bahadur, Hissah Abdulrahman Alodaini, Mai Ahmad Alghamdi
Journal: Ecotoxicology and Environmental Safety
Year: 2025
Citations: Not availableAD Scientific IndexGoodreads+5PIDE Thesis+5The University of Texas at Dallas+5
**”Molecular Insights into RNA Modifications and Their Role in Shaping Immune Responses and Tumor Microenvironments”**
Authors: Ashiq Ali, Tehreem Ajmal, Aisha Khatoon, Kaynaat Akbar, Urooj Irshad, Bilal Murtaza, Ziyi Ji, Abdullah Ali, Qaisar Tanveer, Zhongjing Su
Journal: Current Gene Therapy
Year: 2025
Citations: Not availablePIDE Thesis+5Personal Website+5The University of Texas at Dallas+5
**”Inhibition of Shiga Toxin 2 for E. coli O157 Control: An In-Silico Study on Natural and Synthetic Compounds”**
Authors: Ashiq Ali, Isra Noor, Maleeha Shaukat, Warda Waheed, Kaynaat Akbar, Ziyi Jia, Zhongjing Su
Journal: Current Medicinal Chemistry
Year: 2025
Citations: Not availableAD Scientific IndexAD Scientific Index
**”Beyond Genes: Epiregulomes as Molecular Commanders in Innate Immunity”**
Authors: Ashiq Ali, Urooj Azmat, Ziyi Ji, Aisha Khatoon, Bilal Murtaza, Kaynaat Akbar, Urooj Irshad, Rameen Raza, Zhongjing Su
Journal: International Immunopharmacology
Year: 2024
Citations: Not available

conclusion:

Dr. Ashiq Ali is a strong contender for the Best Researcher Award, particularly in medical and veterinary pathology research. To enhance his nomination, he should provide details on publications, citations, funded projects, and the real-world impact of his research. If these aspects are well-documented, he would be a top candidate for the award.

Mei-Yung Chen | Machine Vision | Best Academic Researcher Award

Posted on 28/03/202528/03/2025 by 21b4bddf87157652317827146367558f

Prof. Mei-Yung Chen | Machine Vision | Best Academic Researcher Award

Distinguished Professor , National Taiwan Normal University, Taiwan

Prof. Mei-Yung Chen is a highly accomplished researcher in mechatronics and control engineering, with a strong academic background and recognition as a Distinguished Professor. His work in magnetic levitation, positioning, and tracking is crucial for robotics, automation, and precision engineering. While his credentials are impressive, providing more quantitative data on publications, patents, collaborations, and research funding would further enhance his profile for the Best Researcher Award.

Publication Profile

scopus

Education :

Prof. Mei-Yung Chen obtained his B.S. degree from Tamkang University in 1992, followed by an M.S. degree from Chung Yuan Christian University in 1994. He later pursued a Ph.D. degree at National Taiwan University, completing his doctoral studies in 2003.

Experience:

Currently, Prof. Chen serves as a Professor in the Department of Mechatronic Engineering at National Taiwan Normal University, Taiwan. With years of academic and research experience, he has made significant contributions to the field of mechatronics. His expertise extends to both teaching and mentoring students, advancing knowledge in engineering and control systems.

Research Focus:

Prof. Chen’s research interests encompass a wide range of areas, including engineering education, magnetic levitation, precise positioning and tracking, mechatronic system development, and advanced control theory with its applications. His work has significantly contributed to the advancement of control mechanisms in modern engineering, enhancing precision and efficiency in automation and mechatronic systems.

Skills:

Prof. Chen possesses extensive expertise in mechatronics, magnetic levitation systems, positioning and tracking technologies, and advanced control theory. His technical proficiency includes designing and implementing precise control systems, integrating mechatronic principles, and developing innovative solutions for engineering challenges.

Awards:

In recognition of his outstanding contributions, Prof. Chen was honored with the Distinguished Professorship from National Taiwan Normal University in 2012. His research excellence and dedication to academia have earned him a respected reputation in his field.

Publication :

Simulation and Experiment of a Boost Converter With Four-Layer Voltage Multipliers
- Authors: W. Lin, Weicheng; M. Chen, Meiyung; K. Pai, Kaijun
- Year: Not specified
- Citations: 0
- Type: Article
- Source: Not available
Design of an Adaptive T–S Fuzzy Sliding Mode Controller for Robot Arm Tracking
- Authors: Z. Yang, Zhixiang; M. Chen, Meiyung
- Year: 2024
- Citations: 0
- Type: Article
- Source: International Journal of Fuzzy Systems
A Real-Time Path Planning Algorithm Based on the Markov Decision Process in a Dynamic Environment for Wheeled Mobile Robots
- Authors: Y. Chen, Yuju; B.G. Jhong, Bing Gang; M. Chen, Meiyung
- Year: 2023
- Citations: 4
- Type: Article (Open Access)
- Source: Actuators
Controller with the PID Parameters Optimization by PSO for a 6-DOF Robotic Arm
- Authors: K. Wu, Kunjui; M. Chen, Meiyung
- Year: Not specified
- Citations: 0
- Type: Conference Paper
- Source: Not available
Vector Model-Based Robot-Assisted Control System for a Wheeled Mobile Robot
- Authors: B.G. Jhong, Bing Gang; M. Chen, Meiyung
- Year: 2023
- Citations: 0
- Type: Article
- Source: Chung Kuo Kung Ch’eng Hsueh K’an
An Enhanced Navigation Algorithm with an Adaptive Controller for Wheeled Mobile Robot Based on Bidirectional RRT
- Authors: B.G. Jhong, Bing Gang; M. Chen, Meiyung
- Year: 2022
- Citations: 4
- Type: Article (Open Access)
- Source: Actuators
A TD-RRT∗ Based Real-Time Path Planning of a Nonholonomic Mobile Robot and Path Smoothening Technique Using Catmull-Rom Interpolation
- Authors: Jyotish; M. Chen, Meiyung
- Year: Not specified
- Citations: 2
- Type: Conference Paper
- Source: Not available
Apply Adaptive Neural Network PID Controllers for a 6DOF Robotic Arm
- Authors: M. Wu, Mengchien; B.G. Jhong, Bing Gang; M. Chen, Meiyung
- Year: Not specified
- Citations: 0
- Type: Conference Paper
- Source: Not available

Bin Zou | automation | Best Researcher Award

Posted on 25/03/2025 by 21b4bddf87157652317827146367558f

Prof. Bin Zou | automation | Best Researcher Award

Researcher , Shandong University, China

Zou Bin is a highly accomplished researcher and academic who has made significant contributions to the field of mechanical engineering, particularly in additive manufacturing technologies and advanced cutting methods. His achievements are marked by numerous high-impact papers, patents, awards, and leadership roles in prestigious research projects. His innovative research has direct applications in industries such as aerospace, materials engineering, and manufacturing technologies.

Publication Profile

scopus

Education :

Zou Bin has an extensive academic background in mechanical engineering. He completed his Bachelor’s degree in Mechanical Manufacturing and Automation from Shihezi University (211) in 2001. He then pursued his postgraduate studies at Shandong University, where he earned both his Master’s and Ph.D. degrees in Mechanical Manufacturing and Automation between 2001 and 2006.

Experience:

Zou Bin has held various prestigious academic and research positions throughout his career. After completing his Ph.D., he conducted postdoctoral research at the Mechanical Engineering Postdoctoral Research Station of Shanghai Jiao Tong University (2006-2008). He then served as a Lecturer at Shandong University from 2008 to 2010. Since 2011, he has been an Associate Professor and, as of 2016, a Professor at Shandong University, where he has also been guiding Ph.D. students.

Research Focus:

Zou Bin’s research primarily focuses on 3D printing technology and additive-subtractive composite manufacturing technology. He has led several major research projects including National Key R&D projects on photocuring additive continuous forming technology for ceramic materials, and the development of high-performance tools and efficient machining processes. His work in additive manufacturing and cutting technologies plays a key role in advancing mechanical engineering practices, especially in material processing and manufacturing techniques.

Skills:

Zou Bin has received numerous prestigious awards for his contributions to scientific research and technological advancements:,First Prize for Technological Invention Award of Outstanding Scientific Research Achievements in Higher Education Institutions by the Ministry of Education (2019).,Second Prize in the China Machinery Industry Science and Technology Award for Technological Invention (2019).,Second Prize for Scientific and Technological Progress Award for Outstanding Scientific Research Achievements in Higher Education Institutions (2022).

Publication :

Title: Recent Advancements in the Additive Manufacturing of Mullite Ceramic Filter Elements for High-Temperature Melt Filtration
Authors: S. Wei, H. Xing, Y. Lv, X. Wang, B. Zou
Year: No specific year listed
Citations: 0
Title: Tailored Microstructure and Enhanced High-Temperature Behavior of TiC/Inconel 718 Composites Through Dual-Gradient Printing Strategy in Direct Energy Deposition
Authors: W. Liu, B. Zou, X. Wang, C. Huang, P. Yao
Journal: Journal of Materials Processing Technology
Year: 2025
Citations: 0
Title: Construction of Bilayer Biomimetic Periosteum Based on SLA-3D Printing for Bone Regeneration
Authors: X. Zhou, B. Zou, Q. Chen, Q. Lai, X. Wang
Journal: Colloids and Surfaces B: Biointerfaces
Year: 2025
Citations: 0
Title: Study on Anti-Interference Detection of Machining Surface Defects Under the Influence of Complex Environment
Authors: W. Chen, B. Zou, T. Lei, L. Li, J. Liu
Journal: Journal of Intelligent Manufacturing
Year: 2025
Citations: 0
Title: Enhanced High-Temperature Mechanical and Oxidation Behavior of Direct Energy Deposited TiC/Inconel 718 Gradient Coatings
Authors: W. Liu, B. Zou, X. Wang, S. Ding, L. Li
Journal: Applied Surface Science
Year: 2025
Citations: 0
Title: Multi-Material Ceramic Hybrid Additive Manufacturing Based on Vat Photopolymerization and Material Extrusion Compound Process
Authors: H. Sun, B. Zou, T. Quan, S. Wei, C. Huang
Journal: Additive Manufacturing
Year: 2025
Citations: 0
Title: 3D-Printed Laponite Bioceramic Triply Periodic Minimal Surface Scaffolds with Excellent Bioactivity for Bone Regeneration
Authors: S. Guo, H. Zhao, Q. Chen, H. Xing, Q. Lai
Journal: Ceramics International
Year: 2025
Citations: 0
Title: Effects of Surface-Modified Hap on the Properties of Bioceramic Paste for SLA-3D Printing
Authors: S. Li, B. Zou, Q. Chen
Journal: Coatings
Year: 2024
Citations: 0
Title: Study on Liquid-Phase Sintering and Magnetic Properties of SLA-Printed Mn-Zn Ferrite Ceramics
Authors: G. Yang, B. Zou, X. Wang, Q. Lai, C. Huang
Journal: Ceramics International
Year: 2024
Citations: 0
Title: Stereolithography Printing and Mechanical Properties of Polyethylene Glycol Diacrylate/Hexagonal Boron Nitride Ceramic Composites
Authors: G. Yang, B. Zou, X. Wang, Q. Lai, C. Huang
Journal: Advanced Engineering Materials
Year: 2024
Citations: 0

conclusion:

Zou Bin’s combination of academic prowess, innovative research, and leadership in both national and international projects positions him as an outstanding candidate for the Best Researcher Award. His impactful contributions, particularly in the fields of 3D printing and cutting-edge manufacturing technologies, are highly commendable. With some expansion in public engagement and international collaboration, Zou Bin could continue to lead and shape future research in his field.

Francisco Javier Lima Florido | Artificial Intelligence | Best Researcher Award

Posted on 21/03/2025 by 21b4bddf87157652317827146367558f

Mr Francisco Javier Lima Florido | Artificial Intelligence | Best Researcher Award

Researcher in training , University of Malaga , Spain

Francisco Javier Lima Florido is an accomplished researcher whose work in Machine Learning, Deep Learning, and Natural Language Processing has significant practical and academic merit. His focus on multilingual dialogue systems, health applications, and automatic interpretation solutions speaks to his expertise and potential to impact society through technology. As a PhD student, he is still developing his academic career but has already made noteworthy contributions to the field through participation in significant projects.

Publication Profile

scopus

Education :

Francisco Javier Lima Florido holds a Bachelor’s degree in Software Engineering from the University of Málaga (2016). He also earned a Master’s degree in Software Engineering and Artificial Intelligence from the same institution in 2019. Currently, Francisco is pursuing a PhD in the Translation and Interpreting Department at the University of Málaga, where his research is primarily focused on the intersection of technology and language.

Experience:

Francisco has actively participated in various research projects throughout his academic career. Notably, he was involved in the VIP: Integrated Voice-Text System for Interpreters project. This project explored the integration of voice and text systems for interpreters. Presently, he is contributing to cutting-edge projects like the Neural-based multilingual dialogue systems for the development of health apps (focusing on triage in Spanish, English, and Arabic) and the MI4ALL – Automatic Interpretation for All Using a Deep Learning-based API transfer project. These initiatives demonstrate his extensive experience in developing machine learning models for natural language processing (NLP).

Research Focus:

His primary research interests lie in the application of Machine Learning and Deep Learning techniques to Natural Language Processing (NLP). He is particularly focused on the development of multilingual dialogue systems and automatic interpretation technologies. His work aims to enhance the functionality and accessibility of tools for interpreters and healthcare applications, with a special interest in bridging communication gaps in multilingual settings.

Skills:

Francisco is highly skilled in several areas within Software Engineering and Artificial Intelligence, with a strong emphasis on Machine Learning and Deep Learning. His technical expertise spans:

- Natural Language Processing (NLP)
- Multilingual Dialogue Systems
- Deep Learning Algorithms
- Machine Learning Model Development
- Speech-to-Text Technologies
- Python Programming and related frameworks (e.g., TensorFlow, PyTorch)

Publication :

Francisco Javier Lima Florido has contributed to several research projects and publications in the fields of Machine Learning, Deep Learning, and Natural Language Processing. Notably:

“Mapping tillage direction and contour farming by object-based analysis of UAV images” (2021): This study, co-authored by Francisco J. Lima-Cueto, Rafael Blanco-Sepúlveda, María L. Gómez-Moreno, José Dorado, and José M. Peña, was published in Computers and Electronics in Agriculture.
“Using Vegetation Indices and a UAV Imaging Platform to Quantify the Density of Vegetation Ground Cover in Olive Groves (Olea Europaea L.) in Southern Spain” (2019): Authored by Francisco J. Lima-Cueto, Rafael Blanco-Sepúlveda, María L. Gómez-Moreno, and Federico B. Galacho-Jiménez, this paper appeared in Remote Sensing.

Additionally, Francisco Javier Lima Florido has been involved in research projects such as “VIP: Integrated Voice-Text System for Interpreters” and is currently participating in “Neural-based multilingual dialogue systems for the development of health apps: triage (Spanish – English/Arabic)” and the transfer project “MI4ALL – Automatic Interpretation For All Using a Deep Learning-based API”.

conclusion:

Francisco is highly deserving of consideration for the “Best Researcher Award.” His expertise in cutting-edge AI technologies, especially in the context of language translation and interpretation, holds immense potential for positive social impact. While there are areas for improvement, such as enhancing his publication record and broadening his collaborative network, his current research trajectory shows great promise. His ongoing contributions to AI research and application indicate that he is on a path to becoming a leading figure in the field.

Katarina Čolić | Structural integrity |Best Research Article Award

Posted on 21/03/2025 by 21b4bddf87157652317827146367558f

Dr Katarina Čolić | Structural integrity |Best Research Article Award

Senior research associate, Innovation Center, Faculty of Mechanical Engineering , Serbia

Katarina Čolić is a distinguished senior research associate who has made significant contributions to the fields of mechanical and biomedical engineering, particularly in the analysis and design of biomedical implants, material behavior, and structural integrity. Her expertise in fracture mechanics and laser material treatment, combined with her extensive experience in experimental research and numerical methods, positions her as a leader in the field.

Her involvement in mentoring, international collaborations, and successful research coordination further amplifies her professional standing. Katarina’s work is highly impactful within the scope of orthopaedic implants and biomaterials, making her a strong candidate for the Research for Best Research Article Award.

Publication Profile

scopus

Education :

Katarina Čolić completed her primary education at “Kralj Petar I” Elementary School and the Third Belgrade Gymnasium. She then graduated from the Faculty of Mechanical Engineering at the University of Belgrade, specializing in the Department of Hydropower. In 2006, she defended her master’s thesis on “Pneumatic transport systems and the calculation of systems with a downstream increase in diameter.” Katarina continued her academic journey by enrolling in doctoral studies at the same faculty, where she passed all exams with the highest grades. She successfully defended her doctoral dissertation titled “Fracture Behaviour Analysis of Artificial Hip Biomaterials” on October 29, 2012, and earned the degree of Doctor of Science in Mechanical Engineering.

Experience:

Since 2006, Katarina Čolić has been employed at the Innovation Centre of the Faculty of Mechanical Engineering, University of Belgrade, where she has actively engaged in scientific research. Her research focuses on the mechanical and biomedical engineering fields, particularly analyzing the mechanical behavior of materials, laser processing, and the application of numerical methods. Katarina has managed and conducted numerous experimental studies, utilizing advanced measuring equipment like GOM-Aramis for non-contact measurement of displacement and deformation fields. Her work extends to laser material treatment, fracture mechanics, structural integrity assessment, and modern testing methods in welding. She is also dedicated to mentoring master’s students and participating in doctoral dissertation committees, particularly in the fields of orthopedic implants and biomedical structures.

Research Focus:

Katarina’s research is primarily centered on the mechanical behavior of materials, with a specific focus on biomedical engineering applications. Her work in laser material treatment, fracture mechanics, and structural integrity has been crucial in understanding the behavior of artificial biomaterials, such as those used in hip implants. Additionally, she has a strong interest in the use of numerical methods to design and analyze biomedical implants, contributing to the advancement of the field of orthopedic implants and biomedical structures.

Skills:

Material Testing: Expertise in the application of mechanical testing methods, particularly in the field of biomedical engineering.
Numerical Methods: Extensive knowledge and practical application of numerical methods, including fracture mechanics and structural integrity assessment.
Laser Processing: Experience in the laser treatment of materials, focusing on enhancing material properties.
Experimental Research: Proficient in planning, managing, and conducting experimental research using advanced equipment such as GOM-Aramis.
Mentoring: Active in supervising and guiding master’s students, with a focus on biomedical engineering and numerical analysis of implants.

Publication :

Smoljanić, T., Milović, L., Sedmak, S., Milovanović, A., Čolić, K., Radaković, Z., Sedmak, A. (2024). Numerical Investigation of Fatigue Behavior in Ti-6Al-4V Orthopedic Hip Implants Subjected to Different Environments. Materials, 17(15). https://doi.org/10.3390/ma17153796

Sedmak, A., Vučetić, F., Čolić, K., Grbović, A., Bozić, Ž., Sedmak, S., & Lozanović Šajić, J. (2022). Fatigue crack growth in locking compression plates. International Journal of Fatigue, 157, 106727. https://doi.org/10.1016/j.ijfatigue.2022.106727

Smoljanić, T., Milović, L., Sedmak, S., Milovanović, A., Čolić, K., Radaković, Z., & Sedmak, A. (2024). Numerical investigation of fatigue behavior in Ti-6Al-4V orthopedic hip implants subjected to different environments. Materials, 17(15). https://doi.org/10.3390/ma17153796

Sedmak, A., Vučetić, F., Čolić, K., Grbović, A., Sedmak, S., Kirin, S., & Berto, F. (2022). Fatigue life assessment of orthopedic plates made of Ti6Al4V. Engineering Failure Analysis, 137, 106259. https://doi.org/10.1016/j.engfailanal.2022.106259

Rajcić, B., Petronić, S., Čolić, K., Stević, Z., Petrović, A., Mišković, Ž., & Milovanović, D. (2021). Laser Processing of Ni-Based Superalloy Surfaces Susceptible to Stress Concentration. Metals, 11(5), 750. https://doi.org/10.3390/met11050750

Petronić, S., Čolić, K., Đorđević, B., Milovanović, D., Burzić, M., & Vučetić, F. (2020). Effect of laser shock peening with and without protective coating on the microstructure and mechanical properties of Ti-alloy. Optics and Lasers in Engineering, 129, 106052. https://doi.org/10.1016/j.optlaseng.2020.106052

Vučetić, F., Čolić, K., Grbović, A., Petrović, A., Sedmak, A., Kozak, D., Sedmak, S. (2020). Numerical Simulation of Fatigue Crack Growth in Titanium Alloy Orthopaedic Plates. Tehnički vjesnik / Technical Gazette, 27(6). DOI: 10.17559/TV20200617192027

Sedmak, A., Čolić, K., Grbović, A., Balac, I., Burzić, M. (2019). Numerical Analysis of Fatigue Crack Growth of Hip Implant. Engineering Fracture Mechanics, 216, 106492. https://doi.org/10.1016/j.engfracmech.2019.106492

Tatić, U., Čolić, K., Sedmak, A., Mišković, Ž., Petrović, A. (2018). Evaluation of the Locking Compression Plates Stress-Strain Fields. Tehnički vjesnik – Technical Gazette, 25(1), DOI: 10.17559/TV-20170420121538

Čolić, K., Sedmak, A., Legweel, K., Milošević, M., Mitrović, N., Mišković, Ž., Hloch, S. (2017). Experimental and Numerical Research of Mechanical Behaviour of Titanium Alloy Hip Implant. TECHNICAL GAZETTE, 24(3), 709-713. DOI: 10.17559/TV-20160219132016

conclusion:

Katarina Čolić’s work reflects not only a high level of technical proficiency but also a commitment to advancing the field through both practical research and global collaboration. While there are opportunities for greater dissemination of her findings and an expanded research focus, her contributions are undeniable. Her continued success in mentoring and guiding new researchers ensures that her work will have lasting impact on the fields of biomedical and mechanical engineering.