Liao Jinfeng | Biological Networks | Research Excellence Award

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Prof. Liao Jinfeng | Biological Networks | Research Excellence Award

Sichuan University | China

Liao Jinfeng, a Young Yangtze River Researcher and Doctoral Supervisor, currently serves as a Researcher at the West China School of Stomatology, Sichuan University. He completed his undergraduate studies at the West China School of Pharmacy, Sichuan University (2006–2010), followed by a direct PhD at the State Key Laboratory of Biotherapy, Sichuan University (2010–2015) under the supervision of Professor Qian Zhiyong. He began his academic career as a Lecturer at the West China School of Stomatology (2015–2017), completed postdoctoral research under Professor Li Bei through the Hong Kong Polytechnic University “Hong Kong Scholars” Program (2017–2019), and subsequently served as an Associate Professor at the same institution (2017–2021). His major scientific contributions lie in the development of materials for maxillofacial bone tissue repair, leading 7 research projects including 3 funded by the National Natural Science Foundation of China. Dr. Liao has published 52 SCI papers as corresponding or first author in top-tier journals such as Bone Res, Nano Lett, Bioact Mater, Int J Oral Sci, and J Nanobiotech, with 12 publications having an impact factor above 10, 2 cover articles, 6 highly cited papers, and 3 hot papers. His work has been cited 3605 times in prestigious journals including Chem. Rev., Chem. Soc. Rev., Adv. Drug Delivery System, and Adv. Mater., with 5 papers surpassing 100 citations and an outstanding H-index of 36. He has applied for 5 Chinese invention patents and was selected as a “Hong Kong Scholar” by the Ministry of Human Resources and Social Security in 2016.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

"Bilayer hydrogel microneedles with mild photothermal effect promote infectious skin regeneration", Journal of Materials Chemistry, Gu, W.; Ye, X.; Xie, X.; Tan, B.; Qi, T.; Liao, J, 2025

"Development of a novel hyaluronic acid/alginate/RANKL degradable microneedle patch for accelerating bone remodeling and orthodontic tooth movement through promoting osteoclastogenesis", Shan, Y.; Jin, Y.; Zhang, X.; Tang, Y.; Lai, W.; Liao, J.; Wu, M.; Long, H.,  Journal article, 2025.

"Injectable Hydrogel as Intracanal Medication for Root Canal Disinfection", Cao, M.; Wu, D.; Tu, H.; Mou, B.; Kang, J.; Liao, J.; Yang, J, Journal of Dental Research, 2025.

"Photothermal sensitive nanocomposite hydrogel for infectious bone defects", Wu, Y.; Xie, X.; Luo, G.; Xie, J.; Ye, X.; Gu, W.; Mo, A.; Qian, Z.; Zhou, C.; Liao, J, Bone Research, 2025.

"Self-degradable nanoparticles hybrid hydrogel with cascade thermal control and spontaneous ion release for complex bone defect regeneration", Yang, S.; Zheng, Z.; Zhang, M.; Tan, B.; Zhang, X.; Chen, W.; Liao, J, Chemical Engineering Journal, 2025.

Sarah Miller | Biological Network | Best Researcher Award

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Dr. Sarah Miller | Biological Network | Best Researcher Award

Medical University of South Carolina | United States

Dr. Sarah Miller is an accomplished respiratory neurophysiologist and nurse educator whose career spans advanced research, academic leadership, and clinical excellence. She earned her PhD in Respiratory Neurophysiology from the University of Florida in 2007, where she studied perceptual responses to respiratory load under the mentorship of Distinguished Professor Paul Davenport, and previously completed a Bachelor of Science in Health Sciences Education at the same institution. She later expanded her clinical and pedagogical expertise by earning an Associate of Science in Nursing, followed by a Master of Science in Nursing Education from Western Governors University. A licensed Registered Nurse in South Carolina and formerly in Florida, she has complemented her clinical training with specialized certifications in end-of-life care and COPD education. Dr. Miller currently serves as Assistant Dean of the PhD Program in the College of Nursing at the Medical University of South Carolina (MUSC), where she also holds a tenured Associate Professorship, following earlier faculty appointments at the University of Memphis, Western Governors University, Colorado Technical University, and the College of the Florida Keys. Her research and professional impact are reflected in numerous honors, including the Palmetto Gold Excellence in Nursing Award, recognition among South Carolina’s Best Nurses, MUSC teaching awards, and national distinctions such as the DAISY Award for Excellence in Nursing Education. A highly engaged member of the research community, Dr. Miller serves repeatedly as Co-Chair and reviewer for multiple NIH Study Sections in cardiovascular and pulmonary sciences, contributes as an external scientific expert to major industry-sponsored respiratory health studies, and maintains longstanding service on the Editorial Board of Frontiers in Physiology while acting as an ad hoc reviewer for leading journals in respiratory and pulmonary science.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

"Reporting of asthma mobile health data for clinical practice: a qualitative study of pediatric provider perspectives", MD McDonald, D Dantzler, M Nichols, S Miller, E Dawley, M Walgrave, Journal of Asthma, 2024.

"RESP-FIT: a technology-enhanced combined inspiratory and expiratory muscle strength training intervention for adults with COPD", SN Miller, M Mueller, M Nichols, Chronic Obstr Pulm Dis, 2024.

"Exploring the Unmet Care Needs of Women With Advanced Chronic Obstructive Lung Disease (COPD)", J Madiraca, KO Lindell, S Phillips, P Coyne, S Miller, B26. IT'S TIME TO ADVANCE THE CARE OF PATIENTS WITH COPD, 2023.

"Social Isolation Among Adults Living With Cystic Fibrosis in the United States: A Single-Center Experience", A Gulledge, S Miller, SD Newman, M Mueller, L Christon, PA Flume, The Journal for Nurse Practitioners 19 (5), 2023.

"Identifying Comorbid Subtypes of Patients With Acute Respiratory Failure", KM Potter, H Dunn, A Krupp, M Mueller, S Newman, TD Girard, S Miller, American Journal of Critical Care 32 (4), 2023.

Monti Chiara Carla | Technological Networks | Top Researcher Award

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Dr. Monti Chiara Carla | Technological Networks | Top Researcher Award

University of Insubria | Italy

Dr. Monti Chiara Carla is an accomplished medical professional with extensive experience in clinical governance, healthcare management, and quality control within Italy’s social-healthcare sector. Since March 2020, she has served as the Medical Director and Quality Control Lead for the RSA Area at KOS Care Srl, overseeing 56 facilities across eight Italian regions with over 6,000 beds. Her work focuses on clinical process optimization, risk management, accreditation, staff training, and the development of innovative healthcare services. Previously, from 2017 to 2020, she held key responsibilities in medical and quality management at KOS Care’s Central Health Directorate for Anni Azzurri Residences, managing 40 facilities and 4,000 beds, where she contributed to ethical clinical pathways, pharmaceutical governance, and healthcare compliance. Dr. Monti also served with the Don Pozzoli Onlus Foundation as Facility Doctor and Supervisory Body Member, and led the HALT2 Study promoted by the European Centre for Disease Prevention and Control, focusing on infection control in long-term care. Earlier in her career, she gained significant clinical experience in geriatric, rehabilitative, and neurological care through roles at several nursing homes including Foscolo, Carducci, and Vivaldi facilities, and in the Department of Plastic, Reconstructive, and Aesthetic Surgery at the Macchi Foundation Hospital in Varese. Her career reflects a strong commitment to advancing patient care quality, medical ethics, and organizational excellence within the healthcare system.

Profiles: Scopus

Featured Publications

"Shared and Unique Disease Pathways in Amyotrophic Lateral Sclerosis and Parkinson’s Disease Unveiled in Peripheral Blood Mononuclear Cells", ACS Chemical Neuroscience, 2023", 143 Citations by 127 documents 7 Documents 5 h-index.

Mahdieh Azizian | Machine Learning | Best Researcher Award

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Dr. Mahdieh Azizian | Machine Learning | Best Researcher Award

Kerman University of Medical Sciences | Iran

Dr. Mahdieh Azizian is an accomplished scholar in Applied Mathematics with a Ph.D. in Numerical Analysis from Shahid Bahonar University of Kerman, where her doctoral research focused on optimizing dynamical models of tumor control using fuzzy dynamical systems. Building on her earlier M.Sc. and B.Sc. degrees in Applied Mathematics from the same university, she has developed a strong expertise in mathematical modeling, bioinformatics, epidemiology, and cancer research. Over the years, Dr. Azizian has actively contributed as a lecturer and workshop instructor in numerous national and international academic forums, covering topics such as cancer mathematical modeling, numerical methods, data mining, and interdisciplinary applications of mathematics in medical sciences. She has also held key academic and administrative roles, including membership in the Research Council of the School of Medicine and serving as Superintendent of the Statistics Department at Kerman University of Medical Sciences. Recognized for her teaching excellence, she was honored as a Superior Instructor in 2014, in addition to receiving distinctions as a top student during her academic studies. Through her extensive teaching, research, and administrative experiences, Dr. Azizian has established herself as a dedicated educator and researcher at the intersection of mathematics and medical sciences.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

"An interval version of Black–Scholes European option pricing model and its numerical solution"

"Time Series Model for Forecasting the Prevalence of Some Important Parasitic Infections in Slaughtered Sheep in North-Central Iran"

"Estimating the Number of COVID-19 Cases and Impact of New COVID-19 Variants and Vaccination on the Population in Kerman, Iran: A Mathematical Modeling Study"

"A Brief History of Listening Comprehension in Second Language Teaching and Learning"

"An Empirical Study on the Effects of Using Kahoot as a Game-Based Learning Tool on EFL Learners’ Vocabulary Recall and Retention"

Fahimeh Dabaghi Zarandi | Community Detection | Women Researcher Award

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Assist. Prof. Dr. Fahimeh Dabaghi Zarandi | Community Detection | Women Researcher Award

Assistant Professor, at Vali-e-Asr University of Rafsanjan, Iran📖

Dr. Fahimeh Dabaghi-Zarandi is an accomplished researcher and academic in software engineering, specializing in data mining, green communication, and IoT. With a Ph.D. from the Iran University of Science and Technology, she brings a rich academic background and a passion for leveraging technology to address complex problems. As an Assistant Professor at Vali-e-Asr University, she continues to inspire students and contribute to the field through innovative research and collaboration.

Profile

Scopus Profile

Google Scholar Profile

Education Background🎓

Dr. Fahimeh Dabaghi-Zarandi holds a Ph.D. in Software Engineering from the Iran University of Science and Technology, Tehran, Iran, which she completed in September 2018. She earned her Master’s degree in Software Engineering from the prestigious Sharif University of Technology, Tehran, Iran, in August 2010, and her Bachelor’s degree in the same field from Ferdowsi University of Mashhad, Iran, in August 2008. Her academic journey reflects a consistent focus on software engineering, laying a strong foundation for her expertise in data mining, graph processing, and Internet of Things applications.

Professional Experience🌱

Dr. Fahimeh Dabaghi-Zarandi is an Assistant Professor at the Department of Engineering, Vali-e-Asr University of Rafsanjan, where she contributes to the advancement of computer engineering through teaching and research. She has actively participated in several national conferences on topics such as data mining and computational geometry, including the 16th CSI Computer Conference in Tehran (2011) and the Winter School on Computational Geometry at Amirkabir University (2009). Her involvement in these events reflects her commitment to staying at the forefront of developments in computer science and engineering.

Research Interests🔬

Dr. Dabaghi-Zarandi’s research focuses on:

  • Green Communication: Enhancing energy efficiency in communication systems.
  • Community Detection: Identifying clusters and patterns in large networks.
  • Data Mining: Extracting meaningful insights from large datasets.
  • Graph Processing: Algorithms and applications for analyzing graph structures.
  • Internet of Things (IoT): Developing intelligent solutions for interconnected systems.

Author Metrics 

Dr. Dabaghi-Zarandi’s publications have made significant contributions to her fields of interest, with her work cited by researchers worldwide. Her expertise in graph processing and community detection has been recognized in peer-reviewed journals and conferences, where she has shared her findings on the applications of data mining and IoT in sustainable technology

Publications Top Notes 📄

1. A survey on green routing protocols using sleep-scheduling in wired networks

  • Authors: F. Dabaghi, Z. Movahedi, R. Langar
  • Journal: Journal of Network and Computer Applications
  • Volume: 77
  • Pages: 106-122
  • Year: 2017
  • Citations: 47
  • Abstract: This paper provides a detailed survey of green routing protocols in wired networks, focusing on energy-saving methods achieved through sleep-scheduling mechanisms. The study reviews various techniques and evaluates their effectiveness, contributing valuable insights to the field of green networking.

2. Community detection in complex networks based on an improved random algorithm using local and global network information

  • Authors: F. Dabaghi-Zarandi, P. KamaliPour
  • Journal: Journal of Network and Computer Applications
  • Volume: 206
  • Article: 103492
  • Year: 2022
  • Citations: 11
  • Abstract: This work presents an enhanced random algorithm for community detection in complex networks. By integrating both local and global network information, the proposed method achieves higher accuracy and robustness compared to traditional approaches.

3. An energy‐efficient algorithm based on sleep‐scheduling in IP backbone networks

  • Authors: F. Dabaghi-Zarandi, Z. Movahedi
  • Journal: International Journal of Communication Systems
  • Volume: 30, Issue 13
  • Article: e3276
  • Year: 2017
  • Citations: 11
  • Abstract: This paper introduces an energy-efficient algorithm for IP backbone networks leveraging sleep-scheduling techniques. The algorithm optimizes energy consumption while maintaining network performance.

4. A dynamic traffic-aware energy-efficient algorithm based on sleep-scheduling for autonomous systems

  • Authors: F. Dabaghi-Zarandi, Z. Movahedi
  • Journal: Computing
  • Volume: 100, Issue 6
  • Pages: 645-665
  • Year: 2018
  • Citations: 7
  • Abstract: The study proposes a dynamic traffic-aware algorithm that enhances energy efficiency in autonomous systems by incorporating adaptive sleep-scheduling.

5. Local traffic-aware green algorithm based on sleep-scheduling in autonomous networks

  • Authors: F. Dabaghi-Zarandi
  • Journal: Simulation Modelling Practice and Theory
  • Volume: 114
  • Article: 102418
  • Year: 2022
  • Citations: 2
  • Abstract: This paper introduces a localized green algorithm tailored for autonomous networks. By integrating sleep-scheduling and traffic awareness, the proposed approach reduces energy consumption without compromising network performance.

Conclusion

Dr. Fahimeh Dabaghi-Zarandi is a highly deserving nominee for the Women Researcher Award due to her pioneering research in green communication, community detection, and energy-efficient algorithms. Her contributions address global challenges such as energy conservation and sustainable technology, making her work both impactful and timely.

With a clear trajectory of excellence and continuous innovation, Dr. Dabaghi-Zarandi exemplifies the qualities of a distinguished researcher. Addressing the identified areas for improvement would further amplify her achievements, but her existing body of work strongly supports her candidacy for this award.