Archana Ayyar | Reproductive Biology | Best Researcher Award

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Dr. Archana Ayyar | Reproductive Biology | Best Researcher Award

University Hospitals, United States

Profile

ORCID

🧠 Early Academic Pursuits

Dr. Archana K. Ayyar began her academic journey with distinction, earning dual undergraduate degrees in Psychology (B.S.) and Finance (BBA) from The University of Texas at Austin between 2011 and 2015. During this time, she consistently earned accolades such as University Honors, College Scholar, and Dean’s Honor List recognitions. Her academic excellence led her to the prestigious Texas Tech University Health Science Center in Lubbock, where she pursued her Doctor of Medicine (M.D.) from 2015 to 2019. Her early interest in women’s health and research excellence was evident from her Outstanding Student of the Year (Ob/Gyn) award in 2019.

đŸ©ș Professional Endeavors and Clinical Training

Dr. Ayyar’s medical training includes a Residency in Obstetrics and Gynecology (2019–2023) at Baylor College of Medicine, Houston, TX, followed by her current Fellowship in Reproductive Endocrinology and Infertility (2023–present) at University Hospitals, Case Western Reserve University, Cleveland, Ohio. Her trajectory through these prestigious institutions reflects her dedication to clinical excellence in women’s reproductive health.

🧬 Research Focus and Academic Contributions

Dr. Ayyar has demonstrated a deep commitment to research and scientific advancement in reproductive medicine. Her research has been recognized through multiple awards, including the 2022 President’s Presenter’s Research Award by the Society for Reproductive Investigators, and the First Place Oral Presentation at Baylor's Resident Research Day. Her areas of research have included reproductive endocrinology, infertility, adolescent gynecology, and transplantation, with recognition such as the Poster of Distinction at the American Transplant Congress.

🏆 Honors, Awards, and Distinctions

Dr. Ayyar’s commitment to excellence is reflected in a long list of honors:

  • đŸ„‡ 2024 Society’s Research Grant Award – CLESOG

  • 🏅 2023 “Ova-Achiever” Teaching Award – Baylor College of Medicine

  • 🎓 2018 Junior AOA Inductee – Texas Tech University

  • 🧠 2016 AATS Summer Intern Scholar – American Association for Thoracic Surgery

  • đŸ’Œ Multiple REI Resident Divisional Awards – 2021, 2023

These accolades span academic, research, and teaching domains, underlining her balanced and exceptional performance.

📚 Editorial and Scholarly Activities

Dr. Ayyar has served as an Ad Hoc Reviewer for Faculty Opinions (2021–2022) and reviewed manuscripts for leading journals such as Fertility and Sterility and Journal of Pediatric and Adolescent Gynecology. Her review of “Morris RS, F S Rep 2021” was published in Faculty Opinions, showing her role in shaping the academic discourse in her field. She worked closely under the mentorship of Dr. Schutt, further refining her academic acumen.

💡 Technical and Research Skills

Dr. Ayyar possesses a diverse range of technical and clinical skills, especially in the areas of:

  • Assisted reproductive technologies (ART)

  • Female endocrine disorders

  • Clinical data analysis and presentation

  • Medical education techniques
    Her ability to merge clinical insights with data-driven research continues to inform her practice and mentorship efforts.

đŸ‘©â€đŸ« Teaching and Mentorship Excellence

A natural educator, Dr. Ayyar has received multiple teaching awards, such as the Distinguished Educator’s Award and the “Ova-Achiever” Teaching Award, both from Baylor College of Medicine in 2023. She actively mentors residents and medical students, integrating clinical practice with evidence-based education.

🌐 Professional Societies and Network

She holds active memberships in several prestigious medical societies:

  • 🔬 Alpha Omega Alpha (AOA) – Full Member (2018–present)

  • đŸ©ș American College of Obstetrics and Gynecology (ACOG) – Junior Fellow

  • đŸ§Ș Society for Reproductive Investigation

  • 🧬 American Society of Reproductive Medicine

These memberships not only enhance her access to cutting-edge research but also reflect her active engagement in advancing reproductive healthcare.

🔍 Impact and Influence

Dr. Ayyar’s contributions have significantly impacted the fields of Obstetrics, Gynecology, and Reproductive Medicine. Her work has influenced both clinical practices and educational frameworks. Through her research presentations, clinical excellence, and peer-reviewed contributions, she continues to shape the future of women’s health.

🌟 Legacy and Future Contributions

As she continues her fellowship, Dr. Ayyar is poised to become a leader in reproductive medicine, integrating innovation, compassion, and academic excellence. Her long-term vision includes mentoring future physicians, advancing ART techniques, and shaping policy and practice standards in reproductive endocrinology.

Selected Publications

Authors: Archana Ayyar, Marian Khalil, Maggie Wong, Rebecca Chung, Kathryn Coyne, Joseph Findley, Rachel Weinerman, Rebecca Flyckt, Katelyn Perroz Sofaly, Sung Tae Kim
Journal: Reproductive Medicine
Year: 2025
Additional considerations for hysteroscopic morcellation versus electric vacuum aspiration
Authors: Archana Ayyar, Steven R. Lindheim, Rebecca Flyckt
Journal: Fertility and Sterility
Year: 2024
Novel intragraft regulatory lymphoid structures in kidney allograft tolerance
Authors: Ivy A. Rosales, Chao Yang, Evan A. Farkash, Tameem Ashry, Jifu Ge, Imad Aljabban, Archana Ayyar, Dorothy Ndishabandi, Rebecca White, Elena Gildner, et al.
Journal: American Journal of Transplantation
Year: 2022
Management of a Novel Autoimmune Disease, COPA Syndrome, in Pregnancy
Authors: Archana Ayyar, Rachel D. Seaman, Kalpalatha Guntupalli, Mary C. Tolcher, Daniel Martin
Journal: Case Reports in Obstetrics and Gynecology
Year: 2022

Yuxiao Gao | Big Data Science and Technology | Best Researcher Award

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Ms. Yuxiao Gao | Big Data Science and Technology | Best Researcher Award

Taiyuan University of Technology, China

Profile

Orcid

Early Academic Pursuits

Yuxiao Gao is currently an undergraduate student at Taiyuan University of Technology, majoring in Data Science and Big Data Technology. With a strong academic inclination toward cutting-edge technologies, Yuxiao has already made significant strides in the research community, especially in areas intersecting artificial intelligence and healthcare. His journey into research began with a deep interest in machine learning and its practical applications in the medical domain.

Professional Endeavors

Despite being an undergraduate, Yuxiao has demonstrated academic maturity by publishing a review article in an SCI-indexed journal focusing on deep learning-based medical image segmentation. He also showcased his work at a CCF-C level conference, presenting a novel segmentation framework, emphasizing his capability to contribute at recognized academic platforms. His technical skillset includes Python, Java, PyTorch, and proficiency in Linux environments, positioning him as a competent data science researcher.

Contributions and Research Focus

Yuxiao's research is characterized by interdisciplinary innovation. His notable contributions include developing a knowledge graph for Chinese health policy using Natural Language Processing (NLP)tools and assessing policies quantitatively via the Policy Modeling Consistency (PMC) index. This integration of NLP with healthcare and policy evaluation demonstrates his unique capability to apply data-driven approaches to real-world problems, reflecting both depth and relevance in his academic endeavors.

Collaborations and Academic Influence

Yuxiao has collaborated with faculty members involved in medical imaging and health policy analytics, enriching his interdisciplinary experience. His ability to merge computer vision, NLP, and graph databases to solve complex healthcare issues has made him a valuable contributor to collaborative research teams, even at the early stages of his career.

Academic Citations and Publications

Yuxiao has authored one SCI-indexed review paper and presented at a CCF-C conference, with future publications expected as his research matures. Although citation metrics are currently not applicable due to the early stage of his career, his work’s relevance and potential for impact are evident through the quality of publication and platforms.

Technical Skills

His core technical proficiencies span deep learning frameworks (PyTorch), programming languages (Python, Java), and Linux-based systems. Additionally, Yuxiao has hands-on experience in knowledge graph construction, policy analysis using PMC modeling, and implementing medical image segmentation frameworks, marking his expertise across both structured and unstructured data domains.

Recognition and Award Preference

Given his strong foundation in research, innovation, and interdisciplinary applications of data science, Yuxiao Gao is a deserving candidate for the Best Undergraduate Researcher Award. His achievements, despite being in the early stage of his academic career, reflect both academic rigor and real-world impact.

Legacy and Future Contributions

Looking ahead, Yuxiao aims to expand his work inintelligent healthcare systems and policy informatics, striving to build solutions that bridge the gap between machine learning technologies and societal needs. His passion for integrating science, policy, and innovation is poised to shape meaningful outcomes in both academia and applied research domains.

Selected Publications

  • Title: A Review on Deep Learning-Based Medical Image Segmentation

  • Authors: Yuxiao Gao, [Co-author Names if any]

  • Journal: [Journal Name, e.g., IEEE Transactions on Medical Imaging]

  • Year: [Year, e.g., 2024]

Is this the exact published title?
If yes, we will proceed. If there’s any change or subtitle, please specify.

Please confirm the author list as it appears in the publication.
Is it:

  • Yuxiao Gao (sole author), or

  • Yuxiao Gao plus other co-authors (please list them)?

Please provide the full journal name where this review was published (SCI-indexed).
For example:

  • IEEE Transactions on Medical Imaging

  • Medical Image Analysis

  • Elsevier’s Journal of X
    etc.









	


	

	






	
	

		


Ahmad Mahamid | Surgery | Best Researcher Award
			

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Assist. Prof. Dr. Ahmad Mahamid | Surgery | Best Researcher Award


Israel Institute of Technology, Carmel Medical Center, Haifa, Israel


Profile


Orcid


🧠 Early Academic Pursuits


Dr. Ahmad Mahamid began his distinguished academic journey at the Hebrew University in Jerusalem, where he earned a Bachelor of Medical Sciences (BMedSc, cum laude) in 2005, followed by an MD degree in 2010 from the Faculty of Medicine. These formative academic years laid a strong foundation for his future specialization in complex surgical disciplines, particularly within the fields of general surgery, surgical oncology, and hepatobiliary procedures.


đŸ©ș Professional Endeavors


Following his medical degree, Dr. Mahamid embarked on a rigorous residency and fellowship pathway across top Israeli medical centers. From internship at Rabin Medical Center (2009–2010) to residencies in general surgery at Sourasky Medical Center and Hillel Yaffe Medical Center (2010–2016), he quickly demonstrated both technical expertise and leadership. His fellowship training spanned abdominal organ transplantation and HPB (hepato-pancreato-biliary) surgery, including a prestigious international fellowship at Mount Sinai Hospital in New York City (2019–2021), sharpening his expertise in complex oncologic and transplant surgery.


Currently, he serves as a Consultant in General and HPB Surgery across multiple health institutions including Mushlam Clalit, Meuhedet Health Services, and Ayalon Insurance Company Ltd. Since 2022, he has led the HPB Surgery Service at Carmel Medical Center, establishing it as a center of excellence for complex liver, pancreas, and biliary surgery in Israel.


🔬 Contributions and Research Focus


Dr. Mahamid’s research interests reflect his deep clinical experience and vision for innovation in surgery. His work focuses on abdominal organ transplantation, robotic HPB surgery, minimally invasive surgical techniques, and surgical oncology. He is also dedicated to advancing surgical imaging and diagnostics, with an added focus on trauma and emergency surgery. These areas form the basis of his contributions to developing safer, more precise, and patient-centric surgical practices.


🌍 Impact and Influence


Dr. Mahamid is highly active in Israel’s medical examination and professional certification systems. As a committee member and examiner for both the Israeli written and oral board exams in General Surgery, he plays a critical role in shaping future generations of surgeons. His involvement with the Israeli Society of Hepato-Pancreato-Biliary Surgery and International HPB Association underscores his leadership and commitment to advancing his field nationally and internationally. In 2023, he was appointed Secretary of the Israeli HPB Surgery Society, highlighting his influence within this highly specialized domain.


📚 Academic Appointments & Teaching Experience


A committed educator, Dr. Mahamid has taught and mentored students and residents extensively at the Technion – Israel Institute of Technology, where he has held positions ranging from tutor to director of various surgical training programs since 2011. His teaching spans pre-clinical medical school surgical rotations, TeAMS programs, and general surgery internships, as well as directing residency training at Carmel Medical Center. As of 2023, he holds the title of Clinical Senior Lecturer at the Technion’s Faculty of Medicine, reflecting his academic stature and commitment to surgical education.


đŸ› ïž Technical & Clinical Skills


Dr. Mahamid is proficient in advanced surgical techniques, particularly within HPB and transplant surgery, including robotic-assisted and minimally invasive approaches. His international training and clinical exposure have equipped him with cutting-edge knowledge in surgical oncology, trauma care, and complex abdominal interventions. His expertise ensures that patients benefit from modern, safe, and effective surgical care.


🏅 Professional Leadership & Committee Roles


Between 2016 and the present, Dr. Mahamid has been deeply engaged in shaping Israel’s surgical standards. He has held multiple roles as an examiner and committee member for both residency exams and medical student assessments. In addition, he contributes to national-level discussions on surgical education and practice through his committee roles in the Israeli Surgical Association, Israeli Medical Association, and HPB societies. These responsibilities emphasize his stature as a respected voice in the surgical community.


📈 Legacy and Future Contributions


Dr. Ahmad Mahamid’s career is defined by a blend of clinical excellence, academic leadership, and educational mentorship. His work in advancing HPB surgery techniques, particularly in robotic and minimally invasive interventions, positions him at the forefront of surgical innovation in Israel. As he continues to lead surgical services, mentor the next generation of surgeons, and contribute to national medical governance, Dr. Mahamid is poised to leave a lasting legacy in both clinical practice and academic surgery.


📚 Selected Publications


Authors: Esther Kazlow, Elias Rinawi, Eden Gerszman, Samar Mattar, Nabih Essami, Mary Nasir, Aasem Abu Shtaya, Wisam Assaf, Riad Haddad, Ahmad Mahamid
Journal: Journal of Clinical Medicine
Year: 2025


Authors: Ahmad Mahamid, Eden Gerszman, Esther Kazlow, Aasem Abu Shtaya, Natalia Goldberg, Dvir Froylich, Riad Haddad
Journal: Cancers
Year: 2025


Authors: Ahmad Mahamid, Kobi Peleg, Alexander Givon, Rafi Alfici, Oran Olsha, Isaac Ashkenazi
Journal: American Journal of Emergency Medicine
Year: 2017


Authors: Ahmad Mahamid, Isaac Ashkenazi, Michal Shapira-Rootman, Oran Olsha, Rafi Alfici, Eyal Y. Bekhor, Isaac A. Mouch, Anwar R. Zeina
Journal: Journal of Gastrointestinal Cancer
Year: 2017


Author: Ahmad Mahamid
Journal: Harefuah
Year: 2017


 


 




	


	

	






	
	

		


Assoc. Prof. Dr. Lei Wang | Automatic Control Systems | Best Researcher Award
			

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Assoc. Prof. Dr. Lei Wang | Automatic Control Systems | Best Researcher Award


Wuxi University, China.


Dr. Wang Lei is an Associate Professor at Wuxi University, specializing in intelligent control systems. With a strong background in artificial intelligence applications in automation, he has led over 10 major research projects, published more than 30 peer-reviewed papers, and holds 20+ patents and 11 software copyrights. He has international training experience in Thailand, Taiwan, Poland, and the UK, enriching his global academic perspective.


Profile


Scopus


Orcid


🎓 Education


Dr. Wang Lei pursued extensive academic training, including joint doctoral programs funded by China’s national “111 Plan”, conducting research in institutions like Green Mountain University (Poland) and the University of Southampton (UK). His master's studies included training at Prince Songkhla University (Thailand) and Yunlin University of Science and Technology (Taiwan).


đŸ’Œ Experience


Currently an Associate Professor at Wuxi University, Wang Lei has spearheaded numerous provincial and national research projects, including collaborations with the Ministry of Education, Wuxi Science and Technology Bureau, and the National Natural Science Foundation of China. His editorial roles include reviewing for journals like International Journal of Robust and Nonlinear Control and Security and Communication Networks.


🔬 Research Interests


His research focuses on the application of artificial intelligence in automatic control systems, covering areas such as iterative learning control, dynamic observers, fuzzy systems, and actuator fault tolerance.


🏆 Awards & Patents


Principal investigator of 10+ funded projects including Jiangsu Provincial Natural Science and Wuxi “Light of Taihu Lake” programs.


Holder of 20+ patents, including “A trajectory tracking method for non-repetitive time-varying systems”.


Recognized with support from national initiatives such as the “111 Plan”.


📚 Notable Publications


🆕 2025


Output feedback based PD-type iterative learning fault-tolerant control for uncertain discrete systems with actuator faults
📘 Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
🔗 DOI: 10.1177/09596518241263003
đŸ‘„ Yanxia Shen, Wei Zou, Lei Wang


🔬 2024


An innovative dynamic observer for nonlinear interconnected systems with uncertainties
📘 Transactions of the Institute of Measurement and Control
🗓 Published: 2024-10-23
🔗 DOI: 10.1177/01423312241274007
đŸ‘„ Nan Ji, Lei Wang, Xinggang Yan, Dezhi Xu


Iterative learning control with parameter estimation for non-repetitive time-varying systems
📘 Journal of the Franklin Institute
🗓 Published: 2024-02
🔗 DOI: 10.1016/j.jfranklin.2024.01.011
đŸ‘„ Lei Wang, Ziwei Huangfu, Ruiwen Li, Xiewen (Sitman) Wen, Yuan Sun, Yiyang Chen


📊 2023


Design of robust fuzzy iterative learning control for nonlinear batch processes
📘 Mathematical Biosciences and Engineering
🔗 DOI: 10.3934/mbe.2023897
đŸ‘„ Wei Zou, Yanxia Shen, Lei Wang


A Soft Actor-Critic Approach for a Blind Walking Hexapod Robot with Obstacle Avoidance
📘 Actuators
🗓 Published: 2023-10-21
🔗 DOI: 10.3390/act12100393
đŸ‘„ Lei Wang, Li Ruiwen, Ziwei Huangfu, Yishan Feng, Yiyang Chen


Fully Distributed, Event-Triggered Containment Control of Multi-Agent Systems
📘 Applied Sciences
🗓 Published: 2023-10-07
🔗 DOI: 10.3390/app131911039
đŸ‘„ Lei Wang, Guanwen Chen, Tai Li, Ruitian Yang


Slowness or Autocorrelation? A serial correlation feature analysis method
📘 Journal of Process Control
🗓 Published: 2023-01
🔗 DOI: 10.1016/j.jprocont.2022.11.010
đŸ‘„ Qinghua Li, Zhonggai Zhao, Lei Wang








	


	

	






	
	

		


Mr. Chibuzo Nwabufo Okwuosa | Fault Detection | Best Researcher Award
			

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Mr. Chibuzo Nwabufo Okwuosa | Fault Detection | Best Researcher Award


Kumoh National Institute of Technology, South Korea.


Okwuosa Chibuzo Nwabufo is a Research Ph.D. Scholar at Kumoh National Institute of Technology đŸ‡°đŸ‡·, South Korea, specializing in Mechanical Engineering. With a strong foundation in machine learning, deep learning, and real-time fault diagnostics, his work emphasizes bridging theoretical innovation with industrial application. Chibuzo is passionate about Prognostics and Health Management (PHM), Explainable AI (XAI), and digital twin technologies, aiming to create smart, AI-driven maintenance systems for next-generation industries.


Profile


Scopus


Orcid


Google Scholar


🎓 Education


Chibuzo earned both his Master’s and is currently pursuing his Ph.D. in Mechanical Engineering from Kumoh National Institute of Technology, South Korea. His academic focus has been consistently rooted in intelligent fault diagnostics, predictive maintenance, and real-time monitoring technologies.


đŸ’Œ Experience


With over four completed and two ongoing research projects, Chibuzo has hands-on experience in both academia and industry. Notable projects include real-time diagnostics for diaphragm pumps, fault analysis in induction motors, and zinc phosphating coating processes. He has collaborated on industry-sponsored projects and led initiatives involving advanced data-driven solutions for predictive maintenance.


🔬 Research Interests


His key research domains include:


🔧 Prognostics and Health Management (PHM)


đŸ€– Machine Learning & Deep Learning


🧠 Explainable AI (XAI)


🌐 Digital Twin Technologies


⚙ Real-time Fault Diagnostics


🏆 Awards & Grants


Chibuzo’s research has been supported by prestigious Korean government grants:


IITP Innovative Human Resource Development for Local Intellectualization


ITRC Program (MSIT, Korea)
These grants facilitated collaborations with industry leaders and funded cutting-edge research in diagnostics and manufacturing innovation.


📚 Selected Publications


🆕 Optimizing Defect Detection on Glossy and Curved Surfaces Using Deep Learning and Advanced Imaging Systems


📅 2025-04-13 | Sensors
🔗 DOI: 10.3390/s25082449
👹‍🔬 Contributors: Joung-Hwan Yoon, Chibuzo Nwabufo Okwuosa, Nnamdi Chukwunweike Aronwora, Jang-Wook Hur
📌 Application of deep learning and high-resolution imaging for defect detection on challenging industrial surfaces.




⚙ A Spectral-Based Blade Fault Detection in Shot Blast Machines with XGBoost and Feature Importance


📅 2024-10-09 | Journal of Sensor and Actuator Networks
🔗 DOI: 10.3390/jsan13050064
👹‍🔬 Contributors: Joon-Hyuk Lee, Chibuzo Nwabufo Okwuosa, Baek Cheon Shin, Jang-Wook Hur
📌 Fault detection in mechanical components using spectral features and XGBoost.




🔍 Transformer Core Fault Diagnosis via Current Signal Analysis with Pearson Correlation Feature Selection


📅 2024-02-29 | Electronics
🔗 DOI: 10.3390/electronics13050926
👹‍🔬 Contributors: Daryl Domingo, Akeem Bayo Kareem, Chibuzo Nwabufo Okwuosa, Paul Michael Custodio, Jang-Wook Hur
📌 Intelligent transformer fault diagnosis using statistical signal analysis and feature engineering.




⚡ Enhancing Transformer Core Fault Diagnosis and Classification through Hilbert Transform Analysis of Electric Current Signals


📅 2024-01-18 | Preprint
🔗 DOI: 10.20944/preprints202401.1371.v1
👹‍🔬 Contributors: Daryl Domingo, Akeem Bayo Kareem, Chibuzo Nwabufo Okwuosa, Paul Michael Custodio, Jang-Wook Hur
📌 Preprint focusing on enhanced signal processing for electrical fault classification.




🧠 An Intelligent Hybrid Feature Selection Approach for SCIM Inter-Turn Fault Classification at Minor Load Conditions Using Supervised Learning


📅 2023 | IEEE Access
🔗 DOI: 10.1109/ACCESS.2023.3266865
👹‍🔬 Contributors: Chibuzo Nwabufo Okwuosa, Jang-Wook Hur
📌 Machine learning-based fault classification in squirrel cage induction motors under low-load conditions.


 


 


 




	


	

	






	
	

		


Assoc. Prof. Dr. Jessica Fleming | Molecular Biomarkers | Best Researcher Award
			

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Assoc. Prof. Dr. Jessica Fleming | Molecular Biomarkers | Best Researcher Award


The Ohio State University, United States.


Dr. Jessica L. Fleming, PhD, is an accomplished radiobiologist at the James Comprehensive Cancer Center, The Ohio State University. With over a decade of experience in translational oncology research, she specializes in molecular biomarkers and radiation therapy innovations. Dr. Fleming plays a key role in collaborative clinical and research initiatives, especially in glioma and FLASH radiotherapy. She is also a co-founder and former CEO of the Cap City Biohackers, demonstrating her entrepreneurial edge in biomedical innovation.


Profile


Scopus


🎓 Education


Dr. Fleming earned her PhD in Molecular, Cellular, and Developmental Biology from The Ohio State University in 2012, following a BS in Biology, Cum Laude, from Ashland University in 2006. Her strong academic foundation was supported by multiple fellowships and research opportunities during her undergraduate and graduate studies.


đŸ§Ș Experience


Dr. Fleming currently serves as an Associate Radiobiologist at OSU, working with Dr. Arnab Chakravarti. Her journey at OSU began as a graduate student, advancing through postdoctoral research and senior research associate roles. She has led cutting-edge radiobiological studies and was integral to several major clinical protocols. Beyond academia, she was the CEO and Co-Founder of Cap City Biohackers, reflecting her commitment to science outreach and innovation.


🔬 Research Interests


Radiation oncology and molecular oncology, particularly adult gliomas and biomarkers


FLASH radiotherapy, clinical translation, and toxicity modeling


Tumor heterogeneity and resistance mechanisms


Translational research bridging lab discoveries and patient care


🏆 Awards & Honors


đŸ„‡ 2024 ASTRO Annual Meeting Abstract Award


🏅 Columbus CEO Future 50 Award (2020)


🎖 Best of ASTRO & Basic/Translational Science Abstract Award (2018)


🎓 Alumni Grants for Graduate Research (2012)


🧬 NSF REU Fellow (2005)


🌟 Track & Field Athletic Scholar and Presidential Scholar (2002–2006)


📚 Selected Publications


Here are some of Dr. Fleming’s key publications, with citation and access details:


Fleming JL et al. (2025) – Comprehensive Molecular Analysis in NRG Oncology/RTOG 9813 – Int J Radiat Oncol Biol Phys (Accepted)


Manring HR, Fleming JL et al. (2025) – FLASH Radiotherapy: From In Vivo Data to Clinical Translation – Hematol Oncol Clin N Am (PMID: 39828472)


Fleming JL, Chakravarti A. (2025) – Molecular Biomarkers in Adult Lower-Grade Gliomas – Cancer J, 31(1): e0758. (PMID: 39841423)
➀ Cited by: 2 articles


Kotecha R, Schiff D, Chakravarti A, Fleming JL et al. (2024) – Management of IDH-Mutated Gliomas – J Clin Oncol, 42(21): 2588-2598. (PMID: 38833641)
➀ Cited by: 15 articles


Becker AP, Becker V, McElroy J, Fleming J et al. (2024) – HMGB2 as Biomarker in Astrocytomas – Cancers (Basel), 16(8): 1516. (PMID: 38672598)
➀ Cited by: 7 articles










	


	

	






	
	

		


Dr. Ali Saleh | Transportation | Best Researcher Award
			

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Dr. Ali Saleh | Transportation | Best Researcher Award


Széchenyi Istvån University, Germany.


Ali Saleh is a dedicated Syrian đŸ‡žđŸ‡Ÿ Civil Engineer and Ph.D. researcher specializing in road engineering and sustainable asphalt technology. With years of hands-on experience in both academia and infrastructure development, Ali blends practical engineering skills with cutting-edge research. He is particularly focused on asphalt mixture optimization using AI and neural networks. Currently based in Germany đŸ‡©đŸ‡Ș, Ali seeks to contribute to advanced civil engineering innovations worldwide.


Profile


Orcid


🎓 Education


Dr. Ali Saleh holds a Ph.D. in Engineering Sciences from SzĂ©chenyi IstvĂĄn University, Hungary (2020–2024), where he engaged in cutting-edge research within the field of civil engineering. Prior to his doctoral studies, he completed both a Master of Science in Civil Engineering (2015–2019) and a Bachelor of Science in Civil Engineering (2007–2013) at Tishreen University, Syria. Dr. Saleh’s academic background showcases a strong foundation in structural analysis, a deep commitment to infrastructure development, and a progressive trajectory in engineering sciences.


đŸ’Œ Experience


In addition to his academic achievements, Dr. Ali Saleh brings valuable professional and teaching experience in the field of civil engineering. He worked as a Civil Engineer at Latakia Port, Syria (2014–2020), where he managed and supervised major infrastructure projects from design through execution, ensuring strict adherence to deadlines and quality standards. Alongside his engineering role, he served as a Lecturer at Tishreen University (2016–2019), where he delivered core civil engineering lectures and guided students academically. He also contributed to technical education as an Instructor at Omega Institute (2018–2019), teaching AutoCAD and Civil 3D to aspiring engineers, bridging theoretical knowledge with practical application.


🔬 Research Interests


♻ Reclaimed Asphalt Pavement (RAP)


🧠 Machine Learning & Neural Networks in Civil Engineering


đŸŒ± Sustainable Road Construction


đŸ›Łïž Bitumen Foaming and Asphalt Performance


📊 Pavement Testing and ITS/HWTT Data Modeling


🏆 Awards & Innovations


đŸ› ïž Invention: Designed a bitumen foaming machine


🏅 Recognized for contributions in road project sustainability and environmental research at various international conferences.


📚 Selected Publications


đŸ›Łïž Warm Mix Asphalt (WMA) & Reclaimed Asphalt Pavement (RAP) Research


1. Machine Learning Modelling the Rut Depth of WMA Mixtures with Variable RAP and Foamed Bitumen Content


Journal: Dorogi i mosti (October 9, 2024)
DOI: 10.36100/dorogimosti2024.30.138
Highlights:


Utilizes machine learning models to predict rutting behavior in WMA.


Investigates performance effects of variable RAP and foamed bitumen levels.


Promotes data-driven pavement design and performance prediction.




2. Modelling Indirect Tensile Strength of Warm Mix Asphalt with Variable RAP Content


Journal: Dorogi i mosti (October 9, 2024)
DOI: 10.36100/dorogimosti2024.30.157
Highlights:


Focuses on indirect tensile strength (ITS) behavior of WMA mixtures.


Models mechanical performance under different RAP inclusion rates.


Supports RAP optimization for maintaining structural integrity.




3. Environmental Impacts of Using Foamed Asphalt


Journal: Dorogi i mosti (April 25, 2023)
DOI: 10.36100/dorogimosti2023.27.296
Highlights:


Evaluates environmental implications of foamed asphalt in road construction.


Considers emissions, energy savings, and recyclability.


Lays groundwork for greener road-building practices.










	


	

	






	
	

		


Prof. Dr. Javier Ruiz-del-Solar | Robotics | Best Researcher Award
			

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Prof. Dr. Javier Ruiz-del-Solar | Robotics | Best Researcher Award


Universidad de Chile, Chile.


Javier Ruiz-del-Solar S. is a Chilean Full Professor at the Department of Electrical Engineering, Universidad de Chile, and Director of the Advanced Mining Technology Center. With a deep passion for robotics, AI, and mining tech, he has made remarkable contributions to academia and industry, mentoring the next generation of engineers and researchers.


Profile


Scopus


Orcid


🎓 Education


Prof. Dr. Javier Ruiz-del-Solar is a distinguished academic with a strong foundation in electrical and electronic engineering. He earned his Doctor-Engineer degree from the Technical University of Berlin, Germany in 1997. Prior to that, he obtained his M.Sc. in Electrical Engineering in 1992 and his undergraduate degree in Electrical Engineering in 1991 from the Universidad TĂ©cnica Federico Santa MarĂ­a, Chile. His academic trajectory reflects a solid commitment to excellence in engineering and research.


🧑‍🔬 Experience


Prof. Dr. Javier Ruiz-del-Solar has held numerous prominent academic and editorial positions throughout his career. He serves as a Full Professor at the Universidad de Chile, where he also directs the Advanced Mining Technology Center. His editorial contributions include being an Associate Editor for the IEEE Transactions on Cognitive and Developmental Systems (2017–2023) and a current Advisory Board Member of the Journal of Field Robotics (2022–2024). He also served as an Associate Editor for the Journal of Intelligent and Robotic Systems (2008–2017). In addition, Prof. Ruiz-del-Solar has been the Chairman of the IEEE Latin American Robotics Council since 2003, contributing significantly to the development of robotics research and collaboration across the region.


🔍 Research Interests


His work lies at the intersection of:


đŸ€– Robotics & Autonomous Systems


🧠 Artificial Intelligence & Deep Learning


⛏ Mining Technology and Automation


🏆 Awards & Honors


🏅 Member, Chilean Academy of Engineering (since 2009)


đŸ„‡ Best Paper Award, RoboCup Symposium (2004, 2015, 2017)


🚀 RoboCup @Home Innovation Award (2007, 2008)


đŸŽ€ IEEE Distinguished Lecturer (2008–2009)


đŸ‘šâ€đŸ« Best Teacher Award, Universidad de Chile (2007)


📚 Selected Publications


đŸ› ïž Autonomous & Collaborative Mining Systems


1. The Road to the Mine of the Future: Autonomous Collaborative Mining


Journal: Mining (April 2025)
DOI: 10.3390/mining5020025
Key Themes:


Vision of fully autonomous, cooperative mining systems.


Integrates robotic systems, multi-agent collaboration, and intelligent decision-making.


Emphasis on safety, productivity, and sustainability in future mining operations..




đŸ€– Reinforcement Learning in Mining


2. Autonomous Loading of Ore Piles with Load-Haul-Dump Machines Using DRL


Journal: Expert Systems with Applications (March 2025)
DOI: 10.1016/j.eswa.2024.125770
Highlights:


Application of deep reinforcement learning to optimize ore loading in underground mining.


Demonstrates efficiency gains and reduced human intervention.


3. Control of Heap Leach Piles Using Deep Reinforcement Learning


Journal: Minerals Engineering (July 2024)
DOI: 10.1016/j.mineng.2024.108707
Highlights:


Uses DRL to optimize irrigation and aeration in heap leaching.


Potential for smarter, real-time process control in hydrometallurgy.




🍒 AI and Robotics Beyond Mining


4. Cherry CO Dataset: Detection, Segmentation, and Maturity Recognition


Journal: IEEE Robotics and Automation Letters (June 2024)
DOI: 10.1109/LRA.2024.3393214
Focus:


High-quality dataset for precision agriculture using computer vision.


Supports cherry detection and ripeness classification.


 


 


 




	


	

	






	
	

		


Dr. Ali Altuntepe | Hydrogen Energy | Best Researcher Award
			

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Dr. Ali Altuntepe | Hydrogen Energy | Best Researcher Award


Sivas of Science and Technology university, Turkey.


Dr. Ali Altuntepe is a Turkish researcher and materials scientist specializing in experimental condensed matter physics, thin film technology, and two-dimensional materials. With a Ph.D. in Mechanical Engineering, his work focuses on hydrogen storage, graphene synthesis, and solar cell enhancement. He is passionate about integrating nanomaterials in renewable energy applications and continues to contribute significantly to the scientific community through numerous high-impact publications and collaborative projects.


Profile


Scopus


Orcid


🎓 Education


Dr. Ali Altuntepe has pursued his entire academic journey in Mechanical Engineering at Niğde Ömer Halisdemir University, where he demonstrated a consistent dedication to advanced research in materials science and energy systems. He recently completed his Ph.D. in Mechanical Engineering (2019–2024) with an outstanding GPA of 9.74/10.00. His doctoral thesis focused on the "Investigation of Hydrogen Storage Potential of Two-Dimensional Materials, Metal Hydrides, and Their Compositions," reflecting his deep engagement with sustainable and cutting-edge energy technologies. Prior to this, he earned his Master’s degree in Mechanical Engineering (2017–2019), achieving a GPA of 90.09/100, with a thesis centered on the "Synthesis of Doped and Pristine Graphene." His academic foundation was laid with a Bachelor's degree in the same field (2012–2017), where he graduated with a GPA of 3.35/4.00. Throughout his academic career, Dr. Altuntepe has cultivated expertise in nanomaterials, hydrogen storage systems, and graphene synthesis, positioning him as a strong contributor to both academic and applied research in clean energy and material innovation.


đŸ§‘â€đŸ« Experience


Dr. Altuntepe has extensive experience in thin film synthesis and characterization. His work includes growing doped and pristine graphene, investigating 2D materials like MoS₂, WS₂, LiH, and NaH, and applying these materials in PEM fuel cells and solar cells. He has presented at international conferences and co-authored a book chapter on sustainable materials in solar technology.


🔬 Research Interests


Graphene and TMDs (MoS₂, WS₂) synthesis


Hydrogen storage materials


Solar cell enhancement using 2D materials


Thin film deposition techniques (CVD, PVD, E-beam)


Materials characterization (XRD, SEM, Raman, XPS, etc.)


Transparent conductive oxides (TCOs)


Integration of nanomaterials into composite and optoelectronic systems


🏆 Awards & Achievements


Co-authorship in a prestigious Elsevier publication:
Sustainable Materials Solutions for Solar Energy Technologies (2021)


Oral presentations at international conferences including ICSM and MSNG


High citation record with over 20 peer-reviewed journal articles


📚 Selected Publications


☀ Advanced Solar Cell Materials


1. Boron Doped Graphene and MoS₂-Based Ultra-Thin Schottky Junction Solar Cell


Journal: Optical Materials (May 2025)
DOI: 10.1016/j.optmat.2025.116828
Highlights:


Integrates boron-doped graphene with MoS₂ to form an ultra-thin Schottky junction.


Aims to enhance charge transport and light absorption.


Promising for lightweight and high-efficiency PV applications.


2. Nitrogen Doped Single Layer Graphene for CZTS-Based Thin Film Solar Cells


Journal: Optical Materials (2024)
DOI: 10.1016/j.optmat.2024.115167
Highlights:


Uses nitrogen doping to tune electronic properties of graphene.


Applied in CZTS (Copper Zinc Tin Sulfide) solar cells — known for being earth-abundant and non-toxic.




💹 Hydrogen Storage and Fuel Cells


3. Optimizing Hydrogen Storage and Fuel Cell Performance Using Carbon-Based Materials


Journal: Hydrogen (March 2025)
DOI: 10.3390/hydrogen6020022
Highlights:


Studies effects of surface area and pressure on carbon-based hydrogen storage.


Bridges material design with real-world performance in fuel cells.


4. Hydrogen Storage Capacity of Two-Dimensional MoS₂


Journal: International Journal of Hydrogen Energy (2024)
DOI: 10.1016/j.ijhydene.2023.12.120
Highlights:


Focus on MoS₂ for reversible hydrogen storage.


Explores adsorption behavior on 2D surfaces.


5. Investigating Surface Area and Hydrogen Pressure Effects on LiH and NaH


Journal: Journal of Solid State Chemistry (2024)
DOI: 10.1016/j.jssc.2023.124483
Highlights:


Dives into metal hydrides (LiH and NaH).


Correlates structural properties with storage performance under different pressures.


 


 




	


	

	






	
	

		


Prof. Dr. LĂĄszlĂł GĂĄspĂĄr | Road Engineering | Best Researcher Award
			

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Prof. Dr. LĂĄszlĂł GĂĄspĂĄr | Road Engineering | Best Researcher Award


KTI Non-profit Ltd, Hungary.


Dr. habil. Låszló GÁSPÁR is a distinguished Hungarian civil engineer, researcher, and professor emeritus renowned for his expertise in road engineering, pavement and bridge management, and sustainability in infrastructure. He has made an exceptional impact in academia and research through decades of groundbreaking contributions to transport engineering and infrastructure sustainability. He currently serves as a research professor at the KTI Hungarian Institute for Transport Sciences and Logistics and an emeritus professor at Széchenyi Istvån University. Fluent in five languages, Dr. Gåspår has dedicated his life to advancing civil engineering, mentoring PhD students, and contributing to international collaborations.


Profile


Orcid


🎓 Education


Dr. Gåspår earned dual Master of Science degrees from the Technical University of Budapest, first in Civil Engineering (1966) and then in Economic Engineering within the Transport Faculty (1970). His academic journey continued with a Technical University Doctorate (1972), followed by a PhD (Candidate of Technical Sciences, 1979) and a Doctor of Technical Sciences (DSc, 1991). He achieved his habilitation in 1997 and was promoted to full university professor in 2000. He also holds a Euro-engineer diploma (1992) and received an honorary doctorate from Széchenyi Istvån University in 2019.


đŸ’Œ Experience


With over five decades of professional engagement, Dr. GĂĄspĂĄr's roles span across academia, industry, and public policy. He led soil stabilization and asphalt groups in the 1960s and later directed road laboratories and conducted pioneering research in pavement condition evaluation. His international experience includes study tours in Germany and the USA (Darmstadt, Stuttgart, Berkeley, Ann Arbor). Since 1990, he has chaired or participated in numerous global conferences, led or reviewed 12+ EU-funded projects, and served on scientific committees and doctoral councils. His dedication to research mentoring is evidenced by supervising both Hungarian and international PhD candidates.


🔬 Research Interests


Dr. Gáspár’s research encompasses a wide range of civil engineering domains:
đŸ›Łïž Pavement and bridge management, đŸ§Ș asphalt and cement concrete technology, 🧭 road maintenance, 🔬 quality control, 📊 road condition forecasting, and 🌍 climate change impacts on infrastructure. He is especially recognized as an early advocate for lifetime engineering in Hungary and for integrating BIM and sustainability assessment frameworks into road and bridge design.


🏆 Awards & Honors


His numerous accolades include being an official candidate for the Hungarian Academy of Sciences (2003, 2006, 2009) and receiving the Doctor honoris causa (Dr. h.c.) from Széchenyi Istvån University in 2019. He has also held significant roles such as non-academic representative in the Technical Sciences Section of the Hungarian Academy and project leader of cutting-edge research on climate-resilient roads and innovative rubber-bitumen technology.


📚 Selected Publications 


“Optimizing Foamed Bitumen Mixtures: AI-Based Determination of Ideal RAP and FBC Percentages Using HWTT and ITS Data”, Applied Sciences, 2025 — 🔗 DOI:10.3390/app15073780
đŸ§Ÿ Cited by: forthcoming


“Optimizing Sustainability in Bridge Projects: A Framework Integrating Risk Analysis and BIM with LCSA According to ISO Standards”, Applied Sciences, 2025 — 🔗 DOI:10.3390/app15010383
đŸ§Ÿ Cited by: forthcoming


“The Role of BIM in Managing Risks in Sustainability of Bridge Projects: A Systematic Review with Meta-Analysis”, Sustainability, 2024 — 🔗 DOI:10.3390/su16031242
đŸ§Ÿ Cited by: 3+


“Optimizing Sustainability in Bridge Projects”, Preprint, 2024 — 🔗 DOI:10.20944/preprints202411.1625.v1
đŸ§Ÿ Cited by: pending review