Mojtaba Tarin | Inorganic Chemistry | Best Researcher Award

Posted on 29/04/2025 by 21b4bddf87157652317827146367558f

Dr Mojtaba Tarin | Inorganic Chemistry | Best Researcher Award

postdoc researcher, Beijing Jiaotong University,

Dr. Mojtaba Tarin is a highly capable researcher with a strong foundation in inorganic chemistry, cancer nanomedicine, and targeted drug delivery. His academic trajectory, research productivity, technical skills, and teaching involvement position him as an emerging leader in biomedical nanotechnology and pharmaceutical chemistry. His hands-on experience with in vitro and in vivo models, synthesis of functional materials, and development of anti-cancer agents reflects both scientific excellence and translational relevance.

Publication Profile

Scopus

Academic Background:

Dr. Mojtaba Tarin earned his Ph.D. in Inorganic Chemistry from Ferdowsi University of Mashhad, Iran, in October 2023, graduating with a GPA of 18/20. His doctoral research focused on the “Design, Synthesis, and Investigation of Two Transport Systems of Functionalized Magnetic Mesoporous Silica Nanoparticles and Metal-Organic Frameworks (MOFs) for In Vitro and In Vivo Targeted Delivery of Elesclomol.” He holds a Master’s degree in Inorganic Chemistry from the Iranian Research Organization for Science and Technology (IROST), completed in 2015 with a GPA of 18.5/20, where he studied alkyl sulfosuccinate synthesis using heterogeneous catalysts. He completed his Bachelor’s degree at Shahrood University of Technology in 2011.

Professional Experience:

Dr. Tarin has been actively involved in academic and research roles. He served as a Teaching Assistant and Research Assistant at Ferdowsi University of Mashhad between 2018 and 2023. He supported courses like General Chemistry 1 and 2 while assisting with multiple advanced research projects related to pharmaceutical chemistry and drug delivery. He has also conducted and organized educational workshops on spectroscopy techniques, ChemDraw, and MTT cell toxicity testing, contributing significantly to hands-on student learning.

Honors and Recognitions:

Dr. Tarin holds two patents:

Synthesis of the Anti-Cancer Drug Elesclomol (Patent No. 104143, 2021)
Synthesis of Diethyl Sulfosuccinate Using Amberlyst-15 Catalyst (Patent No. 90267, 2016)

His peer-reviewed journal articles focus on targeted delivery of anti-cancer agents and nanotechnology-based therapies. His most recent works, under review and accepted, showcase pioneering research in Elesclomol delivery systems for prostate and colorectal cancer. He has also contributed to chemical synthesis research and co-authored studies on nickel complexes and surfactants.

Awards & Achievements:

Dr. Tarin holds two patents:

Synthesis of the Anti-Cancer Drug Elesclomol (Patent No. 104143, 2021)
Synthesis of Diethyl Sulfosuccinate Using Amberlyst-15 Catalyst (Patent No. 90267, 2016)

Publication :

- Tarin, M., Babaei, M., Eshghi, H., Matin, M. M., & Saljooghi, A. S. (2023). Targeted Delivery of Elesclomol Using a Magnetic Mesoporous Platform Improves Prostate Cancer Treatment Both In Vitro and In Vivo. Talanta. Manuscript ID: TAL-D-23-02570R1. (Accepted/In Press)
- Tarin, M., Babaie, M., Eshghi, H., Matin, M. M., & Saljooghi, A. S. (2023). Elesclomol, a Copper-Transporting Therapeutic Agent Targeting Mitochondria: From Discovery to Its Novel Applications. Journal of Translational Medicine, Manuscript ID: JTRM-D-23-03624 (R1), October 20, 2023.
- Tarin, M., Babaei, M., Eshghi, H., Matin, M. M., & Saljooghi, A. S. (2023). Targeted Delivery of Elesclomol Drug to Colorectal Cancer Cells Using a Porous Silicon Targeted Drug Delivery System with Magnetic Properties. Journal of Advanced Cancer Research, Manuscript ID: JACR-2305-2123 (R1), July 4, 2023.
- Moghadam, S. M. M., Salehi, S., Tarin, M., Azmudeh, S., Babaei, M., & Saljooghi, A. S. (2020). Synthesis, Identification, Theoretical Study, and Investigation of Cellular Toxicity Effects of Nickel (II) Complexes with Chelating Ligands 3-Hydroxyflavone, Deferiprone, and Maltol. Journal of Applied Research in Chemistry, September 22, 2020.
- Tarin, M., Moghadam, S. M. M., Salehi, S., & Saljooghi, A. S. (2019). Preparation of Sodium Dioctyl Sulfosuccinate Anionic Surfactant and Investigation of Catalytic Activity of Amberlyst-15. Journal of Applied Research in Chemistry, December 22, 2019.
- Salehi, S., Moghadam, S. M. M., Tarin, M., & Saljooghi, A. S. (2019). Pharmaceutical Nickel(II) Chelation Properties of 3-Hydroxyflaven, Deferiprone and Maltol Metal Chelators: A Density Functional Study. Physical Chemistry Research, DOI: 10.22036/pcr.2019.202156.1677, November 29, 2019.
- Tarin, M., Moghadam, S. M. M., Salehi, S., & Fateh, D. S. (2019). Dual Catalytic Activity of Amberlyst-15 in the Large-scale and Sustainable Synthesis of Dioctyl Sodium Sulfosuccinate (DOSS). Letters in Organic Chemistry, DOI: 10.2174/1570178616666191009105703, August 8, 2019.

conclusion:

Based on the evidence provided, Dr. Mojtaba Tarin is a highly suitable candidate for the Best Researcher Award, especially in the categories of Pharmaceutical Nanotechnology, Cancer Research, or Targeted Drug Delivery Systems. His work bridges fundamental chemistry with applied biomedical science, demonstrating both innovation and impact. With further international collaboration and funding experience, he could grow into a global scientific leader.

ZHOU HANG | Intelligent transportation | Best Scholar Award

Posted on 29/04/2025 by 21b4bddf87157652317827146367558f

Assoc. Prof. Dr ZHOU HANG| Intelligent transportation | Best Scholar Award

Director,Beijing Jiaotong University,

Dr. Zhou Hang is a dedicated scholar with significant contributions to signal processing, pattern recognition, and computer vision. His career exhibits:

Long-term dedication to teaching and mentoring.
Proven research outputs in gesture recognition and digital systems.
Active national and international academic involvement.
Recognition through multiple awards and roles in influential academic bodies.

Publication Profile

Scopus

Academic Background:

Zhou Hang received his Ph.D. in Signal and Information Processing from Beijing Jiaotong University in January 2008, where he conducted research on gesture recognition systems based on computer vision. He earned his Master’s degree in Communication and Information Systems from Lanzhou Railway Institute in 2000, focusing on digital dispatching interfaces and network administrator systems. His academic journey began at the same institute, where he obtained a Bachelor’s degree in Communication Engineering in 1997.

Professional Experience:

Since February 2008, Zhou Hang has served at the School of Electronic and Information Engineering, Beijing Jiaotong University, where he currently holds the position of Associate Professor. His responsibilities encompass teaching, supervising graduate students, and conducting research in the fields of signal processing and pattern recognition. In addition to his primary academic duties, he has contributed to several university initiatives and technical evaluations.

Zhou Hang has international academic exposure, including an academic visit to the University of Sydney in 2010, a visiting scholar position at Utah State University (2015–2016), and participation in an international conference at the University of Aveiro in Portugal in 2018.

Research Interests:

Zhou Hang specializes in signal processing, pattern recognition, and computer vision, with particular expertise in gesture and human motion recognition, edge detection, and optical flow analysis. His research also includes work on human-computer interaction, multi-scale mathematical morphology, and digital transmission technologies. Over the years, he has developed novel algorithms for hand tracking, body gait recognition, and object detection in complex backgrounds.

Honors and Recognitions:

Throughout his career, Zhou Hang has been recognized with numerous awards for excellence in teaching and research. Notably, he was named “Elite Teacher of Beijing Jiaotong University” in 2014 and was recognized as an “Outstanding Moral Educator of Beijing.” He has received the “Jing Dongfang Teacher Scholarship” three times (2010–2012), and was honored with the “Second-class Award of Youth Teacher’s Basic Teaching Skill” in 2012. His group also earned the “Second-class Award” at the 8th Chinese Graduate Student Electronic Design Competition. Earlier, in 2005, he received the “Prize of Excellent Proceeding Paper” from the Chinese Institute of Electronics.

Publication :

Zhou Hang (2014). A Novel Algorithm of Edge Location Based on Omni-directional and Multi-scale MM. Journal of Computers, 9(4), 990–997.
Zhou Hang (2013). Synchronous Digital Transmission Technology. Science Press, ISBN 978-7-03-033541-8, China.
Zhou Hang (2014). Insect detection algorithm based on associated optical flow tracking. Journal of Gansu Agricultural University, 49(3), 171–175.
Zhou Hang (2014). New Edge Detection Method Based on Omni-directional and Multi-scale Mathematical Morphology. Journal of Chinese Computer Systems, 35(5), 1196–1200.
Zhou Hang (2012). Body Gait Tracking with a Fisher Discriminance on Feature Analyse. In Proceedings of ICSP 2012, Beijing, Vol. 2, 1156–1159.
Zhou Hang (2012). A Novel Uncalibrated Human Hand Tracking Based on Transition Model. In Proceedings of ICSP 2012, Beijing, Vol. 2, 1239–1242.
Zhou Hang (2010). A New Approach of Hand Tracking Based on Integrated Optical Flow Analyse. In Proceedings of ICSP 2010, Beijing, Vol. 2, 1194–1197.
Zhou Hang (2009). An OPS Hand Tracking Algorithm Based on Optical Flow. In Proceedings of WCSE 2009, Xiamen.
Zhou Hang (2007). Bare-hand alphabets gesture recognition based on VCM and ROI segmentation. Journal on Communications, 28(5), 94–100.
Zhou Hang (2007). SBB based Complex Background Recognition System on Hand Gesture Input. Journal of the China Railway Society, 29(5), 54–59

conclusion:

Yes, Dr. Zhou Hang is a suitable candidate for the “Research for Best Scholar Award.”
His body of work demonstrates depth, consistency, and societal relevance, particularly in the application of signal processing to intelligent systems. He would be a strong contender, particularly if his recent research activities and measurable impact metrics (e.g., citations, patents) are well documented in the nomination.

ARIANNA Zhong | Intelligent control systems | Best Researcher Award

Posted on 24/04/2025 by 21b4bddf87157652317827146367558f

Dr. ARIANNA PARRALES | Simulación de procesos | Best Researcher Award

University of Fribourg, Switzerland,Switzerland

Dr. Arianna Parrales Bahena is a dedicated and competent researcher in the field of chemical and energy engineering with expertise in simulation, process optimization, and neural networks. Her recognition by the SNI system and full-time role at CIICAp under CONAHCyT demonstrates strong national standing in Mexico. Her interdisciplinary approach involving AI and energy processes is promising for sustainable engineering solutions.

Publication Profile

Google Scholar

Scopus

Academic Background:

Dr. Arianna Parrales Bahena earned her Ph.D. in Engineering and Applied Sciences with a specialization in Chemical Technology from the Research Center in Engineering and Applied Sciences (CIICAp) at the Autonomous University of the State of Morelos (UAEM) between 2012 and 2016 (Professional License No. 10538006). She previously completed a Master’s degree in Engineering and Applied Sciences at the same institution (CIICAp-UAEM) from 2010 to 2012, also with a specialization in Chemical Technology (Professional License No. 09663681). Her academic path began with a Bachelor’s degree in Chemical Engineering with a specialization in Environmental Engineering from the Instituto Tecnológico de Zacatepec (2005–2009), where she obtained Professional License No. 6849961.

Professional Experience:

Since 2017, Dr. Parrales Bahena has served as a Full-Time Research Professor at the CIICAp-UAEM, under the Cátedras program of the National Council of Science and Technology (CONAHCyT). Earlier in her career, she worked as a Production Assistant at Industrias Químicas Falcón de México S.A. de C.V. in 2010 and was part of the production department at Dr. Reddy’s Laboratories in Jiutepec, Morelos.

Research Interests:

Her primary research areas include two-phase flows, energy transfer processes, design and optimization of heat exchangers, as well as the application of neural networks and process simulation in engineering.

Honors and Recognitions:

Dr. Parrales Bahena has been recognized by Mexico’s National System of Researchers (SNI), initially being appointed as a Candidate from 2018 to 2020. She was subsequently promoted to Level I, a distinction she has held for the 2021–2023 and 2024–2028 periods.

Publication :

Ajbar, W., Parrales, A., Cruz-Jacobo, U., Conde-Gutiérrez, R. A., Bassam, A., … (2021). The multivariable inverse artificial neural network combined with GA and PSO to improve the performance of solar parabolic trough collector. Applied Thermal Engineering, 189, 116651. Citations: 70

Ajbar, W., Parrales, A., Huicochea, A., Hernández, J. A. (2022). Different ways to improve parabolic trough solar collectors’ performance over the last four decades and their applications: A comprehensive review. Renewable and Sustainable Energy Reviews, 156, 111947. Citations: 62

Ajbar, W., Hernández, J. A., Parrales, A., Torres, L. (2023). Thermal efficiency improvement of parabolic trough solar collector using different kinds of hybrid nanofluids. Case Studies in Thermal Engineering, 42, 102759. Citations: 42

Parrales, A., Colorado, D., Díaz-Gómez, J. A., Huicochea, A., Álvarez, A., … (2018). New void fraction equations for two-phase flow in helical heat exchangers using artificial neural networks. Applied Thermal Engineering, 130, 149–160. Citations: 36

Solís-Pérez, J. E., Hernández, J. A., Parrales, A., Gómez-Aguilar, J. F., … (2022). Artificial neural networks with conformable transfer function for improving the performance in thermal and environmental processes. Neural Networks, 152, 44–56. Citations: 35

Reyes-Téllez, E. D., Parrales, A., Ramírez-Ramos, G. E., Hernández, J. A., … (2020). Analysis of transfer functions and normalizations in an ANN model that predicts the transport of energy in a parabolic trough solar collector. Desalination and Water Treatment, 200, 23–41. Citations: 30

Parrales, A., Hernández-Pérez, J. A., Flores, O., Hernandez, H., … (2019). Heat transfer coefficients analysis in a helical double-pipe evaporator: Nusselt number correlations through artificial neural networks. Entropy, 21(7), 689. Citations: 24

Manisha Bhende | Computer Engineering | Women Researcher Award

Posted on 22/04/2025 by 21b4bddf87157652317827146367558f

Dr Manisha Bhende | Computer Engineering | Women Researcher Award

Professor,Dr. D. Y. Patil Vidyapeeth,India

Dr. Manisha Bhende is a highly qualified and experienced academician with a Ph.D. in Computer Engineering and a career spanning more than two decades. Her leadership position and educational background strongly position her for a research-focused recognition. However, more details related to active research contributions, impact metrics, and specific research themes would make the case for this award more compelling.

Publication Profile

scopus

Education 🎓:

Dr. Manisha Bhende holds a Ph.D. in Computer Engineering from Savitribai Phule Pune University (2017), with her research focused on energy-efficient topology control algorithms in Wireless Sensor Networks. She also earned an M.E. in Computer Engineering (2007) from the same university and a B.E. from Government College of Engineering, Amravati (1998), where she graduated with First Class. She completed her higher secondary and secondary education with excellent scores of 77% and 85.57% respectively.

Work and Research Experience 💼:

With over 24 years of teaching experience, Dr. Bhende currently serves as Professor and Director In Charge at Dr. D. Y. Patil Vidyapeeth’s School of Science and Technology, Tathawade, Pune. She has previously worked as Professor at Marathwada Mitramandal’s Institute of Technology and held senior academic positions at various reputed institutions including Dr. D. Y. Patil Institute of Engineering Management and Research, D.Y. Patil College of Engineering, and Y.B. Patil Polytechnic. She has also served as a visiting faculty at SCIT, Hinjawadi.

Grants, Awards, and Fellowships 🏆:

Dr. Bhende was the Second Prize Winner at the CSI Regional Competition for “Young IT Professionals” (2006) and a Regional Winner of Avishkar Project Competition. Her innovative project on document security gained special recognition.

Skills 💻:

Wireless Sensor Networks, IoT, Mobile Computing, Embedded Systems
Machine Learning in Healthcare, Smart Systems, Topology Control Algorithms
Innovation Management, IP Commercialization, Research Supervision

Research Focus & Contributions:

Her doctoral research, supervised by Dr. Sanjeev Wagh, addressed critical issues in Wireless Sensor Networks with a focus on topology control and energy optimization. Her work has significantly contributed to domains such as sensor networks, embedded systems, mobile computing, and AI-based healthcare solutions.

Publication :

Her research focuses on IoT, WSNs, network security, cloud computing, data science, and machine learning. She has authored and edited several books, including: Fundamentals of Data Science (CRC Press, 2021)

Energy Optimization Protocol Design for Sensor Networks in IoT Domains (CRC Press, forthcoming 2022)
Handbook of Research on Applied Intelligence for Health and Clinical Informatics (IGI Global, 2021)
Object Detection by Stereo Vision Images (Scrivener Publishing, Wiley, forthcoming 2022)

Dr. Bhende has published over 70 research papers, with notable works in healthcare applications using machine learning and deep learning techniques .

conclusion:

Dr. Bhende is likely to be a commendable nominee for the Research for Women Researcher Award, especially if supported by a detailed research portfolio and evidence of impact. Providing this additional information could significantly enhance her chances of being selected.

Sailin Zhong | Intelligent control systems | Best Researcher Award

Posted on 19/04/2025 by 21b4bddf87157652317827146367558f

Dr. Sailin Zhong | Intelligent control systems | Best Researcher Award

University of Fribourg, Switzerland,Switzerland

Sai Lin Eicher is a rising interdisciplinary researcher with an impressive academic journey across Switzerland, Singapore, and the United States. His work in fluid human comfort, ambient intelligence, and extended reality bridges the gap between humans and intelligent environments. With top-notch institutional affiliations, funded international projects, and practical impact, his career trajectory is both innovative and globally relevant.

Publication Profile

Google Scholar

Orcid

Education 🎓:

Sai Lin Eicher earned his Ph.D. in Informatics with a specialization in Human-Computer Interaction from the University of Fribourg, Switzerland (July 2019 – December 2023). His doctoral thesis, titled “Fluid Human Comfort in Built Environments with Ambient Intelligence”, was advised by Prof. Denis Lalanne and Prof. Hamed S. Alavi, with a committee that included Prof. Adrian Friday, Prof. Andrew Vande Moere, and Prof. Marilyne Andersen. The research was partially funded by Innosuisse 30076.1 IP‑ICT in collaboration with Logitech.
During his Ph.D., he also served as a visiting Ph.D. student at the MIT Media Lab, Massachusetts Institute of Technology, USA (August 2022 – April 2023), working on AirSpecs, a novel smart eyewear system for habitat comfort interactions, under the supervision of Prof. Joseph A. Paradiso. This research was supported by the Swiss Doc.Mobility Fellowship.
Prior to that, he completed his Master of Computing with a specialization in Computer Science at the National University of Singapore (August 2017 – January 2019), with a thesis on “Effective Smartfan Deployment in NUS SDE Net-Zero Building” under Prof. Roger Zimmermann.
Sai Lin holds a Bachelor of Engineering in Information Engineering and Media from Nanyang Technological University, Singapore (August 2012 – July 2016), graduating with First Class Honours and a CGPA of 4.56/5.00. His undergraduate thesis, “Sociofeedback by Google Glass”, was supervised by Prof. Justin Dauwels.
He also spent a semester as an undergraduate exchange student at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland (February – July 2014), studying Electrical and Electronic Engineering.

Work and Research Experience 💼:

Sai Lin Eicher is currently a Postdoctoral Fellow in Human-Computer Interaction at ETH Zürich (March 2024 – March 2025), where he is contributing to the 3D Sketch Map project by designing and developing a collaborative and generative AI 3D sketching game in VR and AR. He also provides technical consultancy and research guidance on user experiences for Lufthansa Group’s D‑CEET cabin digital twin training.
Previously, he served as a Work Package Lead at the Singapore-ETH Centre (November 2017 – July 2019), where he led the user interface design and development of spatial visualizations and interactive decision-support tools using Sketch and Unity 3D, aimed at enhancing data representation for policymakers.
From June to August 2015 and again from July 2016 to October 2017, he worked as a Software Engineer at IHS Markit in Singapore, supporting financial processing software (TradeSTP) and designing a centralized platform for product access and sales enhancement.
He also interned at Apple Inc., Singapore (August – December 2014) as a Business Intelligence Intern, where he optimized web applications for supply chain automation using PHP and Ruby on Rails.
As a Research Assistant at Nanyang Technological University (August 2013 – June 2014), he developed an Android application capable of separating audio signals from ambient sound using Delay-And-Sum-Beamforming.

Grants, Awards, and Fellowships 🏆:

In 2023, Sai Lin received the MIT MISTI-Switzerland Seed Grant (USD 27,100). In 2022, he was awarded the Swiss Doc.Mobility Fellowship (CHF 25,900). Earlier in his academic journey, he was recognized as a URECA President Research Scholar with Distinction in 2014. He was also the recipient of the Singapore Government Link Company SM3 Full Undergraduate Scholarship (SGD 210,000) in 2012.

Skills 💻:

Sai Lin’s expertise spans user experience research using both quantitative methods (surveys, eye-tracking, usability tests) and qualitative techniques (user interviews, diary studies), as well as mixed methods. He is proficient in user interface design tools such as Sketch, Photoshop, InVision, HTML, CSS, hardware prototyping (Raspberry Pi, Arduino), Autodesk Inventor, and Miro.
He is skilled in statistical analysis techniques including bivariate correlation, factorial analysis, clustering, and both parametric and non-parametric tests, using tools like R, STATA, and SPSS.
Sai Lin has strong programming capabilities in Python, C# (Unity3D), Swift (iOS), JavaScript (Web, React Native), R, SQL, and Java (Android). He is also experienced with AI methodologies, including supervised and unsupervised learning, neural networks, and generative AI.

Publication :

. ilo-wear: Exploring wearable interaction with indoor air quality forecast

Authors: S. Zhong, H.S. Alavi, D. Lalanne
Year: 2020
Venue: CHI Extended Abstracts (CHI EA 2020)
Citations: 26

2. The complexity of indoor air quality forecasting and the simplicity of interacting with it – A case study of 1007 office meetings

Authors: S. Zhong, D. Lalanne, H. Alavi
Year: 2021
Venue: CHI 2021
Citations: 17

3. Already it was hard to tell who’s speaking over there, and now face masks! Can binaural audio help remote participation in hybrid meetings?

Authors: L. Rosset, H. Alavi, S. Zhong, D. Lalanne
Year: 2021
Venue: CHI Extended Abstracts (CHI EA 2021)
Citations: 13

4. Reflecting on hybrid events: Learning from a year of hybrid experiences

Authors: A.A. Ansah, A.S. Vivacqua, S. Zhong, S. Boll, M. Constantinides, H. Verma, …
Year: 2023
Venue: CHI Extended Abstracts (CHI EA 2023)
Citations: 12

5. Proxy methods for detection of inhalation exposure in simulated office environments

Authors: S. Yun, S. Zhong, H.S. Alavi, A. Alahi, D. Licina
Year: 2023
Venue: Journal of Exposure Science & Environmental Epidemiology, Vol. 33(3)
Citations: 11

6. Predictive Models of Indoor CO₂ Concentration: Toward Context-Aware Occupant Support in Offices

Authors: H.S. Alavi, S. Zhong, D. Lalanne
Year: 2020
Venue: SmartPhil@IUI 2020
Citations: 11

7. A novel decision support tool for climate-responsive urban design

Authors: S. Zhong, I. Nevat, J.A. Acero, L.A. Rüfenacht, P. Jan, E. Koh
Year: 2019
Venue: Journal of Physics: Conference Series, Vol. 1343
Citations: 7

8. Airspec: A smart glasses platform, tailored for research in the built environment

Authors: P. Chwalek, S. Zhong, D. Ramsay, N. Perry, J. Paradiso
Year: 2023
Venue: ACM IJCAI Adjunct
Citations: 6

Sai Lin Eicher meets and exceeds the criteria for a Best Researcher Award in a design-tech-HCI-focused category. His work is not only innovative and interdisciplinary but also strongly backed by funding, collaborations with premier institutions, and real-world applications.

Ahmed Ismail | Computer technology | Best Researcher Award

Posted on 16/04/2025 by 21b4bddf87157652317827146367558f

Mr. Ahmed Ismail | Computer technology | Best Researcher Award

Dr.med.student ,Universität Bonn, Germany

Dr. Ismail is a seasoned researcher whose work in food chemistry, safety, and nutrition addresses critical challenges relevant to health and industry. His consistent publication record, student mentorship, and leadership in funded projects all make him a compelling candidate for the Best Researcher Award.

Publication Profile

Google Scholar

Education:

Ismail holds a Master of Science in Pharmacognosy from the Faculty of Pharmacy at Sana’a University, Yemen, which he completed in 2013. He previously earned a Bachelor of Pharmacy (BPharm) from the same university in 2008. His postgraduate studies have equipped him with a deep understanding of medicinal plants, natural products, and their pharmacological properties.

Professional Experience:

Ismail currently serves as a Lecturer in the Department of Pharmacognosy at the Faculty of Pharmacy, Sana’a University. His academic role includes delivering lectures, supervising practical sessions, and guiding student research projects. Additionally, he contributes to curriculum development and department-level academic activities. Over the years, Ismail has built a reputation for his dedication to teaching and scientific inquiry in the field of natural product pharmacology.

Skills:

Ismail possesses strong expertise in pharmacognosy and phytochemistry, with practical skills in the extraction, isolation, and analysis of bioactive compounds from medicinal plants. He is experienced in the application of chromatographic and spectroscopic techniques such as TLC, HPLC, and UV-Vis spectrometry. Furthermore, he demonstrates proficiency in scientific research, manuscript preparation, and academic supervision.

Awards and Scholarships:

Ismail was awarded the MEXT Scholarship by the Japanese Government in 2017, enabling him to pursue research in Japan. He also received the President’s Award for Academic Excellence during his undergraduate studies at Sana’a University. These accolades reflect his commitment to academic excellence and international scientific collaboration.

Research Focus:

Ismail’s research centers on the pharmacological and phytochemical investigation of medicinal plants, particularly those used in traditional Yemeni medicine. He is interested in identifying bioactive compounds with potential therapeutic effects, especially for antimicrobial and antioxidant applications. His work aims to bridge the gap between traditional knowledge and modern pharmaceutical science.

Publication :

1.Title: Micro versus macro shear bond strength testing of dentin-composite interface using chisel and wireloop loading techniques
Authors: AM Ismail, C Bourauel, A ElBanna, T Salah Eldin
Journal: Dentistry Journal
Year: 2021
Citations: 43

2.Title: Effect of material composition and thickness of orthodontic aligners on the transmission and distribution of forces: an in vitro study
Authors: TM Elshazly, C Bourauel, A Ismail, O Ghoraba, M Aldesoki, D Salvatori, …
Journal: Clinical Oral Investigations
Year: 2024
Citations: 8

3.Title: Effect of thermomechanical ageing on force transmission by orthodontic aligners made of different thermoformed materials: An experimental study
Authors: TM Elshazly, C Bourauel, AM Ismail, O Ghoraba, P Chavanne, H Elattar, …
Journal: Orthodontics & Craniofacial Research
Year: 2024
Citations: 2

4.Title: Effect of the Height of a 3D-Printed Model on the Force Transmission and Thickness of Thermoformed Orthodontic Aligners
Authors: O Ghoraba, C Bourauel, M Aldesoki, L Singer, AM Ismail, H Elattar, …
Journal: Materials
Year: 2024
Citations: 1

Dr. Ismail is highly suitable for the Best Researcher Award, especially in domains connected to Food Technology, Safety, and Public Health. His scholarly contributions, research leadership, and professional involvement reflect a deep dedication to science and make him a strong contender. Enhancing international collaboration and showcasing innovation outcomes would further elevate his profile.

Ariel Pakes | Pharmaceutical Markets |Best Paper Award

Posted on 15/04/2025 by 21b4bddf87157652317827146367558f

Prof. Dr. Ariel Pakes | Pharmaceutical Markets |Best Paper Award

Professor, Harvard University ,United States

Ariel Pakes is a world-class scholar with a track record of transformative research, methodological rigor, and policy relevance. His body of work has profoundly influenced how economists analyze markets, competition, pricing, and regulation.

Profile:

Scopus

🎓 Education:

Ariel Pakes earned his Bachelor of Arts and Master of Arts degrees from the Hebrew University of Jerusalem in 1971 and 1973, respectively. He then pursued further studies at Harvard University, obtaining another M.A. in 1976 and completing his Ph.D. in 1979. His doctoral thesis, titled “Economic Incentives in the Production and Transmission of Knowledge: An Empirical Analysis,” was supervised by Zvi Griliches. Wikipedia

💼 Professional Experience:

Pakes currently holds the position of Thomas Professor of Economics at Harvard University. Prior to this, he served as the Charles and Dorothea Dilley Professor of Economics at Yale University from 1997 to 1999 and held various academic roles at the University of Wisconsin-Madison and the Hebrew University of Jerusalem. Throughout his career, he has been actively involved with several research institutions, including the National Bureau of Economic Research (NBER), where he has been a Research Associate since 1983.

🛠️ Skills and Methodological Contributions:

Pakes is renowned for developing empirical methods to analyze market dynamics and policy impacts. Notably, he co-developed the Berry-Levinsohn-Pakes (BLP) model for demand estimation and the Olley-Pakes method for estimating production functions. His work has significantly influenced the analysis of industries such as automotive, healthcare, telecommunications, and energy. Additionally, his methodologies have been adopted by government agencies and private firms for policy evaluation and market analysis.

🏆 Awards and Honors:

Ariel Pakes has received numerous accolades recognizing his contributions to economics:

Frisch Medal (1986)
Fellow of the Econometric Society (1988)
Fellow of the American Academy of Arts and Sciences (2002)
Distinguished Fellow of the Industrial Organization Society (2007)
Jean-Jacques Laffont Prize (2017)
Election to the National Academy of Sciences (2017)
BBVA Foundation Frontiers of Knowledge Award in Economics, Finance, and Management (2018)
Distinguished Fellow of the American Economic Association (2019)

🔬 Research Focus:

Pakes’s research centers on developing empirical tools to assess how markets respond to environmental and policy changes. His work includes analyzing the effects of mergers, deregulation, and innovation on market outcomes. He has applied his methodologies to various sectors, providing insights into consumer behavior, firm dynamics, and policy implications. His research has been instrumental in shaping modern empirical industrial organization.

Publications:

Policy options for the drug pricing conundrum

Authors: Kate Ho, Ariél Pakes
Year: 2025
Journal: Proceedings of the National Academy of Sciences of the United States of America
Citations: 0

2. The impact of artificial intelligence design on pricing

Authors: John Asker, Chaim Fershtman, Ariél Pakes
Year: 2024
Journal: Journal of Economics and Management Strategy
Citations: 6

3. Moment inequalities for multinomial choice with fixed effects

Authors: Ariél Pakes, Jack R. Porter
Year: 2024
Journal: Quantitative Economics
Citations: 2
Access: Open access

4. Inference for Linear Conditional Moment Inequalities

Authors: Isaiah Andrews, Jonathan Roth, Ariél Pakes
Year: 2023
Journal: Review of Economic Studies
Citations: 3
Access: Open access

5. On the misuse of regressions of price on the HHI in merger review

Authors: Nathan H. Miller, Steven T. Berry, Fiona Scott-Morton, Andrew Sweeting, Marta E. Wosinska
Year: 2022
Journal: Journal of Antitrust Enforcement
Citations: 7
Access: Open access

Conclusion:

Ariel Pakes stands as an ideal candidate for the “Research for Best Paper Award.” His award-winning publications, methodological contributions, and influence on policy-relevant economic modeling make him not only a suitable but a model recipient of such recognition. His research legacy continues to shape entire subfields of economics.7

Geraldo Wilson Fernandes | Ecologia | Best Academic Researcher Award

Posted on 15/04/2025 by 21b4bddf87157652317827146367558f

Dr. Geraldo Wilson Fernandes | Ecologia | Best Academic Researcher Award

Professor Titular,University of Minas Gerais ,Brazil

Prof. Geraldo Wilson Afonso Fernandes stands out as an internationally respected ecologist with over four decades of contributions to science. He is a thought leader in ecosystem restoration, biodiversity conservation, and ecological interactions. His CNPq 1A fellowship, global collaborations, and leadership in impactful ecological projects make him a model candidate for any high-level research award.

Profile:

Scopus

Education:

Geraldo Wilson Afonso Fernandes holds a Bachelor’s degree in Biological Sciences from the Federal University of Minas Gerais (UFMG), Brazil, earned in 1983. He completed both his M.Sc. (1987) and Ph.D. (1992) in Ecology and Evolutionary Ecology at Northern Arizona University (NAU), USA, under the supervision of Dr. Peter W. Price. His postgraduate research focused on the distribution patterns and mechanisms of gall-forming insects. He has also completed two postdoctoral fellowships: one at Stanford University (2015–2016), where he served as a Tinker Professor, and another at the University of Seville (2019–2020), supported by CAPES.

Professional Experience;

Fernandes is a highly respected ecologist and a CNPq Level 1A Research Productivity Fellow in Brazil. Over his career, he has held visiting professorships at the University of Alberta (2011), Stanford University (2016), and the University of Seville (2020). He is affiliated with several graduate programs in Brazil, including Ecology, Conservation and Wildlife Management, Genetics (both at UFMG), Biodiversity and Natural Resource Use (UNIMONTES), and the Recovery of Degraded Areas (UFV). Internationally, he collaborates with research programs in Mexico, including INECOL, UNAM, and the University of Seville.

Research Focus:

His research is centered on biodiversity, ecosystem services, community ecology, herbivory, environmental monitoring, ecological restoration, climate change, chemical ecology, and ecological interactions. He has made significant contributions to understanding the ecological roles of gall-forming insects and the biogeography of biodiversity patterns. He also leads a major international project under the CYTED program (Spain), focusing on the role of protected areas in supporting ecosystem services, particularly the ecological and economic implications of pollinator declines.

Skills:

Fernandes is an expert in ecological monitoring, biodiversity assessment, and ecosystem service evaluation. His skillset also includes field-based ecological research, data analysis, bioprospecting, and the development of phytotherapeutic and biodiversity-based products. His interdisciplinary expertise spans environmental science, chemical ecology, and climate-related ecological modeling.

Awards and Recognition:

In 2018, Fernandes was elected a full member of the Brazilian Academy of Sciences—one of the highest academic honors in the country. He has received multiple fellowships and awards from Brazilian research agencies, including CNPq and CAPES. His academic distinction is further underscored by his long-standing role as a top-tier CNPq researcher (Level 1A).

Publications:

Title: Adapting to a shifting planet: The future of Drosera species amidst global challenges and conservation imperatives.

Authors: Olivares-Pinto, Ulises; Lopes, Julio Cesar Santiago; Ruiz-Aguilar, Criseida; Oki, Yumi; Fernandes, Geraldo Wilson.

Journal: Anthropocene

Volume: 49

Pages: 100466

Year: 2025

Citations: –

2.

Title: Addressing the urgent climate and biodiversity crisis through strategic ecosystem restoration in Brazil.

Authors: Liévano-Latorre, Luisa Fernanda; De Almeida-Rocha, Juliana M.; Akama, Alberto; Almeida, Hernani Alves; Andrade, Ricardo Teixeira Gregório; Dos Anjos, Marcelo Rodrigues; Antonini, Yasmine; Bahia, Thaise de Oliveira; Barbosa, Flavia Rodrigues; Barbosa, Reinaldo Imbrózio; Barros, Claudia Franca; Bergallo, Helena Godoy; Brabo, Liliane Souza; Camilo, Andre Restel; Capellão, Renata; Carpanedo, Rainiellen de Sá; Castilho, Carolina Volkmer; Cavalheiro, Larissa; Cerqueira, Rui; Cordeiro, Carlos Leandro; Córdova, Milton Omar; Crouzeilles, Renato; Da Cunha, Cátia Nunes; Desbiez, Arnaud; Dreschler-Santos, Elisandro Ricardo; et al.

Journal: Biological Conservation

Volume: 302

Pages: 110972

Year: 2025

Citations: 1

3.

Title: Complex temporal dynamics of insect metacommunities along a tropical elevational gradient.

Authors: Neves, Frederico S.; Silva, Pedro Giovâni da; Camarota, Flávio; Nunes, Cássio Alencar; Hortal, Joaquín; De Castro, Flávio S.; Beirão, Marina; Ramos, Letícia; Solar, Ricardo; Fernandes, Geraldo Wilson.

Journal: Ecography

Volume: 2025

Pages: e07455

Year: 2025

Citations: –

4.

Title: Mining tailings severely impact plant communities in a rainforest watershed.

Authors: Fernandes, G. Wilson; Ramos, Letícia; De Souza Justino, Wénita; Kenedysiiqueira, Walisson; Figueiredo, João Carlos Gomes; Oki, Yumi; Goulart, Fernando Figueiredo; Dos Santos, Rubens Manoel; Viana, João Herbert Moreira; Nunes, Yule Roberta Ferreira; Aguilar, Ramiro; Poorter, Lourens; Van Der Sande, Masha T.; Negreiros, Daniel.

Journal: Anthropocene

Volume: 49

Pages: 100462

Year: 2025

Citations: –

5.

Title: Towards the reference ecosystems for quartzitic campo rupestre: Floristic composition and soil relationships.

Authors: Cunha-Blum, Jéssica; Ramos, Letícia; Negreiros, Daniel; Paiva, Dario C.; Gomes, Vanessa M.; Borges, Leonardo M.; Teles, Aristônio M.; Fernandes, G. Wilson.

Journal: Ecological Engineering

Volume: 211

Pages: 107463

Year: 2025

Citations: –

6.

Title: Unveiling Rainfall’s Role in Shaping Woody Plant Functional Traits and Diversity in Northern Namibia.

Authors: Shikongo, Albertina M. N.; Fabiano, Ezequiel C.; Fernandes, Geraldo W.

Journal: African Journal of Ecology

Volume: 63

Pages: e70014

Year: 2025

Citations: –

7.

Title: Variation in wood density across South American tropical forests.

Authors: Sullivan, Martin J. P.; Phillips, Oliver L.; Galbraith, David; Almeida, Everton; De Oliveira, Edmar Almeida; Almeida, Jarcilene; Dávila, Esteban Álvarez; Alves, Luciana F.; Andrade, Ana; Aragão, Luiz; Araujo-Murakami, Alejandro; Arets, Eric; Arroyo, Luzmila; Cruz, Omar Aurelio Melo; Baccaro, Fabrício; Baker, Timothy R.; Banki, Olaf; Baraloto, Christopher; Barlow, Jos; Barroso, Jorcely; Berenguer, Erika; Blanc, Lilian; Blundo, Cecilia; Bonal, Damien; Bongers, Frans; et al.

Journal: Nature Communications

Volume: 16

Pages: 2351

Year: 2025

Citations: –

Conclusion:

Dr. Xiang Que demonstrates an excellent balance of academic rigor, research innovation, and potential for Prof. Geraldo W. A. Fernandes is exceptionally qualified for the Best Researcher Award, and his career reflects the award’s ideals of global scientific leadership, innovation in ecological research, and long-standing academic excellence. Any recognition bestowed upon him would not only be deserved but would also uplift the visibility of critical ecological and biodiversity research in the Global South.

Natalia Ramírez Giraldo | biomateriales | Young Researcher Award

Posted on 11/04/202511/04/2025 by 21b4bddf87157652317827146367558f

Mrs. Natalia Ramírez Giraldo | biomateriales | Young Researcher Award

Central University of Valle del Cauca ,Colombia

Natalia Ramírez Giraldo is a promising young researcher in biomedical engineering with demonstrated dedication to advancing knowledge in biomaterials and drug delivery. Her hands-on involvement in multidisciplinary research and commitment to scientific development make her a strong candidate for early-career research recognition.

Profile:

orcid

Education

Natalia Ramírez Giraldo is a Colombian biomedical engineering professional who has pursued extensive academic and complementary training. She completed various diploma courses at the Unidad Central del Valle del Cauca, including “Investigative Tools for Academic Writing” (2022), “Biomaterials with Emphasis on Tissue Engineering and Regenerative Medicine” (2023), and the “Permanent Research Chair” (2023). Additionally, she engaged in technical training in electronics from institutions such as the Carlos Slim Foundation and P4H Bionics Academy. She has also completed English language training between 2017 and 2020. In 2024 and 2025, she expanded her knowledge further through courses at the National Autonomous University of Mexico (UNAM) and Politécnico Superior de Colombia, focusing on biorobotics, FTIR analysis, cell viability, electrospinning, and academic didactics.

Experience

Natalia has participated in numerous national and international scientific events as a speaker, assistant, and organizer. She presented technical works on the development and analysis of orally disintegrating polymeric films (ODFs) for drug delivery at events such as the REDCOLSI research meetings, REDBIOT Congress, and institutional biomedical weeks. She has collaborated with organizations like Universidad de Cartagena, Universidad Libre, Universidad Santiago de Cali, UNAM, and Unidad Central del Valle del Cauca, where she also contributed as an event organizer.

Skills

Natalia possesses a multidisciplinary skill set that spans biomedical engineering, biomaterials, tissue engineering, and medical device development. Her technical expertise includes drug delivery systems, electrospinning, solvent casting, in vitro cell viability assessment, and FTIR spectroscopy. She also demonstrates proficiency in academic research writing and university-level teaching methodologies, supported by her didactics training.

Awards

Her academic excellence has been recognized multiple times. She received the “Buena Nota” student awards from the Unidad Central del Valle del Cauca in 2023 and 2024, and was honored with the “Excelencia SENA” award in 2021 by the SENA Agropecuario Center in Valle del Cauca.

Research Focus

Natalia Ramírez Giraldo’s research is centered on biomedical engineering, particularly the design and evaluation of biopolymer-based drug delivery systems such as orally disintegrating films. Her work explores the physicochemical properties and release profiles of pharmaceutical compounds like acetaminophen. She emphasizes methods like solvent casting, electrospinning, and additive manufacturing for film development. Her recent peer-reviewed publication in Applied Sciences (MDPI) investigates the in vitro dissolution of polysaccharide-based ODFs.

Publications:

Title: Physicochemical Properties and In Vitro Dissolution of Orally Disintegrating Films Based on Polysaccharides: The Case of Acetaminophen
Journal: Applied Sciences
Year: 2025

Title: Physicochemical Properties and In Vitro Dissolution of Edible Film Based on Starch-Chitosan Used as a Potential Oral Drug Carrier: Model Using Acetaminophen
Platform: Preprints
Year: 2025

Conclusion:

Dr. Xiang Que demonstrates an excellent balance of academic rigor, research innovation, and potential for applied impact. His contributions to spatiotemporal analysis and geoinformatics are both timely and critical to advancing the field. With some improvements in collaboration, visibility, and funding, he is well-positioned for continued success in the academic and applied research domains.

Xiang Que | Spatiotemporal data mining | Best Researcher Award

Posted on 08/04/2025 by 21b4bddf87157652317827146367558f

Assoc. Prof. Dr Xiang Que | Spatiotemporal data mining | Best Researcher Award

Member of the Discipline Inspection Commission Fujian Agriculture and Forestry University ,China

Dr. Xiang Que is a highly capable and promising researcher with a strong academic background, interdisciplinary expertise, and significant contributions to the fields of geoinformatics and computational science. His work in spatiotemporal data modeling, GIS, and knowledge graphs has the potential to address complex challenges in various domains. As an associate professor with postdoctoral training abroad, he combines theoretical research with practical applications, making him a suitable candidate for prestigious awards.

Profile:

Scopus

orcid

Education and Training:

Postdoctoral Fellow
Department of Computer Science, University of Idaho, USA (2022/05 – 2024/05)
Ph.D. in Geoinformatics Engineering
China University of Geosciences, Wuhan, China (2013/09 – 2015/05)

Professional Experience:

Associate Professor
College of Computer and Information Sciences, Fujian Agriculture and Forestry University, China (2022/06 – Present)
Assistant Professor
College of Computer and Information Sciences, Fujian Agriculture and Forestry University, China (2015/12 – 2022/05)
Study Abroad Experience
- Postdoctoral Fellow
  Department of Computer Science, University of Idaho, USA (2022/05 – 2024/05)
  - Funded by the University of Idaho
- Visiting Scholar
  Department of Computer Science, University of Idaho, USA (2018/12 – 2019/12)
  - Funded by the China Scholarship Council

Skills and Expertise:

Prof. Ciruela is a leading expert in neuropharmacology, molecular pharmacology, and bioengineering, with deep specialization in GPCR biology. His technical expertise includes fluorescence-based biosensors, photopharmacology, and bioengineered tools for studying neurotransmission, pain, and neurological disorders. He also has extensive experience in coordinating interdisciplinary teams, clinical trials, and translational research.

Research Focus:

Spatiotemporal Weighted Regression and Applications
GIS Spatiotemporal Data Modeling and Analysis
Spatiotemporal Data Mining
Parallel Computing
Knowledge Graphs

Awards and Honors:

Research on Multi-Scale Spatiotemporal Weighted Regression and Its Parallel Calibration Algorithm
National Natural Science Foundation of China (NSFC), China (No. 42202333)
- Sole PI: Xiang Que
- Duration: 2023/01 – 2025/12
- Amount: ¥300,000
OpenMindat – Open Access and Interoperable Mineralogy Data to Broaden Community Access and Advance Geoscience Research
National Science Foundation (NSF), United States (No. 2126315)
- Senior Personnel (Postdoc): Xiang Que
- Duration: 05/2022 – 05/2024
- Amount: $792,475
Leveraging Big Data to Improve Prediction of Tick-Borne Disease Patterns and Dynamics
National Science Foundation (NSF), United States (No. 2019609)
- Senior Personnel (Postdoc): Xiang Que

Publications:

Que X, Huang J, Ralph J, Zhang J, Prabhu A, Morrison S, Hazen R, Ma X. (2024). Using adjacency matrix to explore remarkable associations in big and small mineral data. Geoscience Frontiers, 15(5), 101823.
Wang Z, Que X (corresponding author), Li M, Liu Z, Shi X, Ma X, Fan C, Lin Y. (2024). Spatiotemporally weighted regression (STWR) for assessing Lyme disease and landscape fragmentation dynamics in Connecticut towns. Ecological Informatics, 84, 102870.
Hong Y, Que X, Wang Z, Ma X, Wang H, Salati S, Liu J. (2024). Mangrove extraction from super-resolution images generated by deep learning models. Ecological Indicators, 159, 111714.
Que X, Ma C, Ma X, Chen Q. (2021). Parallel computing for fast spatiotemporal weighted regression. Computers & Geosciences, 150, 104723.
Que X, Ma X, Ma C, Chen Q. (2020). A Spatiotemporal Weighted Regression Model (STWRv1.0) for Analyzing Local Non-stationarity in Space and Time. Geoscientific Model Development Discussions, 2020, 1-33.