Dr. Hai Xue | Edge computing | Best Researcher Award

Dr. Hai Xue | Edge computing | Best Researcher Award

University of Shanghai for Science and Technology,

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🎓 Early Academic Pursuits

Dr. Hai Xue embarked on his academic journey in the field of computer engineering with a Bachelor of Science in Information and Communication Engineering from Konkuk University, Seoul, South Korea, in 2014. Driven by an insatiable curiosity for software and computing, he pursued his Master’s degree at Hanyang University, Seoul, where he specialized in Computer and Software under the guidance of Prof. Inwhee Joe. This period was crucial in shaping his foundational knowledge and research skills, which later fueled his contributions to edge computing and network science. Dr. Xue culminated his formal education with a Ph.D. in Computer Engineering from Sungkyunkwan University, Suwon, in 2020, where he worked under the mentorship of Prof. Hee Yong Youn. His doctoral research laid the groundwork for his future breakthroughs in dynamic resource allocation and federated learning.

🌟 Professional Endeavors

Dr. Xue’s professional career is marked by a series of prestigious positions that reflect his growing influence in the field of computer engineering. After earning his Ph.D., he served as a Research Professor at Korea University, Seoul, from September 2020 to September 2021. During this tenure, he collaborated with renowned researcher Prof. Sangheon Pack, contributing significantly to the domains of edge computing and network optimization. In September 2021, he transitioned to his current role as an Assistant Professor at the University of Shanghai for Science and Technology (USST), Shanghai, China. Here, he continues to engage in high-impact research, mentoring young scholars, and advancing cutting-edge technological solutions.

🔮 Contributions and Research Focus

Dr. Xue’s research interests are deeply rooted in dynamic resource allocation, federated learning, and edge computing. His contributions have led to substantial advancements in these areas, including:

  • Dynamic Pricing in Edge Offloading: His recent work on dynamic pricing-based near-optimal resource allocation is set to redefine how computational resources are distributed efficiently across networks.
  • Energy Harvesting in Edge Computing: His paper on dynamic differential pricing-based edge offloading systems with energy harvesting devices has been accepted by IEEE Transactions on Network Science and Engineering, highlighting his expertise in sustainable and energy-efficient computing.
  • Federated Learning Incentive Mechanisms: His study on Yardstick-Stackelberg pricing-based incentive mechanisms for federated learning in edge computing, accepted by Computer Networks, sheds light on optimizing collaborative learning models.
  • Neural Network Optimization: His work on dynamic pseudo-mean mixed-precision quantization (DPQ) for pruned neural networks, published in Machine Learning, underscores his ability to push the boundaries of artificial intelligence efficiency.

🏆 Accolades and Recognition

Dr. Xue’s contributions have not gone unnoticed. His publications in high-impact journals such as IEEE Transactions, Computer Networks, and Machine Learning underscore his academic excellence. His research has been classified under prestigious rankings, including CAS Q2 and JCR Q1, affirming its significance within the scientific community. These accolades reflect his unwavering commitment to innovation and the quality of his scholarly output.

🌐 Impact and Influence

Dr. Xue’s research has far-reaching implications in both academia and industry. His work in dynamic pricing mechanisms is influencing how network providers optimize their resource allocation, while his advancements in federated learning are paving the way for more secure and efficient decentralized AI applications. His insights into energy harvesting in edge computing hold promise for sustainable technological solutions, a pressing need in today’s energy-conscious world.

🌟 Legacy and Future Contributions

Looking ahead, Dr. Xue is poised to make even more significant contributions to computer engineering. His ongoing projects aim to refine the synergy between AI and edge computing, ensuring smarter, more adaptive network solutions. As an educator, he remains dedicated to nurturing the next generation of computing professionals, equipping them with the knowledge and skills necessary to tackle future challenges in technology.

📝Notable Publications

Dynamic load balancing of software-defined networking based on genetic-ant colony optimization

Author(s): H. Xue, K.T. Kim, H.Y. Youn
Journal: Sensors
Year: 2019

 Detection of falls with smartphone using machine learning technique

Author(s): X. Chen, H. Xue, M. Kim, C. Wang, H.Y. Youn
Journal: 2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)
Year: 2019

Packet Scheduling for Multiple‐Switch Software‐Defined Networking in Edge Computing Environment

Author(s): H. Xue, K.T. Kim, H.Y. Youn
Journal: Wireless Communications and Mobile Computing
Year: 2018

 Dynamic pricing based near-optimal resource allocation for elastic edge offloading

Author(s): Y. Xia, H. Xue, D. Zhang, S. Mumtaz, X. Xu, J.J.P.C. Rodrigues
Journal: arXiv preprint arXiv:2409.18977
Year: 2024

DPQ: dynamic pseudo-mean mixed-precision quantization for pruned neural network

Author(s): S. Pei, J. Wang, B. Zhang, W. Qin, H. Xue, X. Ye, M. Chen
Journal: Machine Learning
Year: 2024

Dr. Candis Morello| Innovative Leadership | Best Researcher Award

Dr. Candis Morello| Innovative Leadership | Best Researcher Award

University of California Skaggs School of Pharmacy and Pharmaceutical Sciences, United States

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Early Academic Pursuits 🎓

Dr. Candis M. Morello’s academic journey began at the University of California, Davis, where she earned her Bachelor’s degree in Chemistry with a minor in Socio-Cultural Anthropology (1987-1991). Her passion for patient care and pharmaceutical sciences led her to the University of California, San Francisco (UCSF), where she pursued and obtained her Doctor of Pharmacy degree (1992-1996). Following her doctorate, she further honed her clinical expertise through an ASHP-accredited Pharmacy Practice Residency with a geriatric emphasis at the Veterans Affairs San Diego Healthcare System (1996-1997).

Professional Endeavors 💊

Dr. Morello has built an illustrious career as a professor and administrator at the Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego (UCSD). Currently serving as the Associate Dean for Student Affairs and a Professor of Clinical Pharmacy (Step VI OS) in the Division of Clinical Pharmacy, she has dedicated herself to academic excellence and student mentorship. Throughout her career, she has played a significant role in shaping pharmacy education by introducing innovative curricula and fostering a culture of evidence-based practice.

Her contributions extend beyond academia into clinical practice, where she holds multiple pharmacy licenses in California (since 1996) and Nevada (since 1996). Her advanced certifications, including the Advanced Practice Pharmacist (APh) License (2018-present) and the Certified Diabetic Care and Educator Specialist (CDCES) (1999-present), have positioned her as a leader in diabetes education and patient management.

Contributions and Research Focus 🔬

Dr. Morello’s research primarily revolves around diabetes care, pharmaceutical education, and optimizing therapeutic outcomes. She has been a key advocate for integrating pharmacists into primary care teams to enhance diabetes management. Her work emphasizes patient-centered pharmaceutical care, insulin therapy education, and continuous glucose monitoring.

Beyond diabetes, her research includes innovations in pharmacy education, addressing implicit bias in healthcare, and improving interdisciplinary collaboration in patient management. Her involvement in training programs such as the UC San Diego Health Sciences Faculty Mentor Training Program and the Building a Respectful, Inclusive Culture (BRIC) NIH-supported training program reflects her commitment to fostering a more inclusive and effective healthcare environment.

Accolades and Recognition 🏆

Dr. Morello’s exemplary contributions have been widely recognized. She is a Fellow of the California Society of Health-System Pharmacists (FCSHP) and the American Society of Health-System Pharmacists (FASHP), prestigious designations that acknowledge her outstanding professional achievements and contributions to the field.

Her leadership abilities have been further honed through participation in elite programs such as the UC San Diego Faculty Leadership Academy and the Academic Leadership Training Workshop at the National Conflict Resolution Center. Additionally, she was selected for the UC San Diego National Center of Leadership in Academic Medicine (NCLAM), solidifying her reputation as a transformative leader in pharmacy education.

Impact and Influence 🌍

Dr. Morello’s impact extends to patient care, student mentorship, and professional training. She has trained countless pharmacists, shaping the next generation of healthcare professionals with a strong emphasis on evidence-based practice and patient advocacy. Her expertise in diabetes management and pharmaceutical care for chronic diseases has led to improved patient outcomes and has influenced healthcare policies at institutional and national levels.

Additionally, her work in implicit bias training and mental health advocacy has contributed to creating more inclusive, empathetic, and culturally competent pharmacy practices. Her role as an Implicit Bias Trainer at UC San Diego Health Sciences (2018-present) highlights her dedication to addressing disparities in healthcare.

Legacy and Future Contributions 🔮

Looking ahead, Dr. Morello remains committed to advancing pharmacy education, enhancing interdisciplinary healthcare collaboration, and advocating for pharmacists as essential members of healthcare teams. Her continued involvement in training programs, leadership workshops, and patient education initiatives will further solidify her legacy as a pioneer in clinical pharmacy and diabetes care.

Her latest certification in Mental Health First Aid Training (2025) underscores her dedication to addressing mental health challenges within pharmacy practice. With her unwavering passion and expertise, she is poised to continue making significant contributions to the field, shaping future pharmacists, and improving patient care standards across the nation.

📝Notable Publications

Long-Term Impact of Sustained Knowledge, Confidence, and Clinical Application Following a First-Year Student Pharmacist Diabetes Self-Care Education Program

Author: Candis M. Morello et al.
Journal: Pharmacy
Year: 2025

 Sodium-Glucose Cotransporter-2 Inhibitors versus Glucagon-Like Peptide 1 Receptor Agonists Effects on Kidney and Clinical Outcomes in Veterans with Type 2 Diabetes

Author: Candis M. Morello et al.
Journal: Kidney360
Year: 2024

Comparison between in-person, telehealth, and combination visits among veterans treated in a pharmacist-led diabetes management clinic

Author: Candis M. Morello et al.
Journal: Journal of the American Pharmacists Association
Year: 2024

Predictive Modeling of Factors Influencing Adherence to SGLT-2 Inhibitors in Ambulatory Care: Insights from Prescription Claims Data Analysis

Author: Candis M. Morello et al.
Journal: Pharmacy
Year: 2024

Improved Glycemic Control Outcomes Regardless of Mental Health Disorders in a Pharmacist-Endocrinologist Diabetes Intense Medical Management (DIMM) “Tune Up” Clinic

Author: Candis M. Morello et al.
Journal: Annals of Pharmacotherapy
Year: 2020

 

Aizan Zafar-AI in HealthCare-Best Scholar Award

Professional Profile 

Early Academic Pursuits:

Aizan Zafar embarked on his academic journey with a Bachelor's degree in Information Technology from Guru Ghasidas Central University, Chhattisgarh, graduating with distinction and a commendable CGPA of 8.71 in 2016. This early academic success laid the foundation for his subsequent pursuits in the field of computer science.

He continued his educational journey by pursuing a Master's degree in Information Technology at the University of Hyderabad, Telangana. During this period (2017-2019), Aizan engaged in research on machine learning, focusing on an efficient approach for effective clustering using validity index. His dedication and scholarly pursuits earned him a CGPA of 8.1 in the first division with distinction.

Professional Endeavors:

Following his Master's degree, Aizan Zafar transitioned into a Ph.D. program at the prestigious Indian Institute of Technology Patna, commencing in July 2019. As a Ph.D. scholar, he delved into the realm of Natural Language Processing, particularly concentrating on Medical Question Answering and Dialogue Systems.

In the course of his doctoral journey, Aizan showcased exceptional research prowess by contributing to various projects and initiatives. His experience as a Teaching Assistant for courses such as Artificial Intelligence, Natural Language Processing, and Computer Network reflects his commitment to academic responsibilities.

Contributions and Research Focus:

Aizan's research endeavors have been prolific, spanning diverse areas within Natural Language Processing and Conversational AI. His notable contributions include the development of "Sevak," an intelligent Indian language chatbot, and "PERCURO," a holistic solution for clinical text employing conversational data for Question Answering systems.

Aizan's research has culminated in several published and accepted papers, demonstrating his expertise in knowledge-infused abstractive question answering systems, medical dialogue generation, and knowledge graph-assisted medical dialog generation. He has also showcased his commitment to advancing the field through organizing workshops and courses on Deep Learning for NLP.

Accolades and Recognition:

Aizan Zafar's academic prowess is underscored by his qualification in AIEEE (2012), GATE in 2017 (for M.Tech.), and GATE in 2019 (for Ph.D.). These achievements underscore his consistent dedication to academic excellence.

Impact and Influence:

Aizan's influence extends beyond his individual achievements. His organizational roles in workshops and courses, such as the GIAN Workshop on Deep Learning Techniques for Conversational AI and the CEP course on Deep Learning for NLP, highlight his commitment to knowledge dissemination and community building.

Legacy and Future Contributions:

As an emerging scholar in the field of Natural Language Processing and Conversational AI, Aizan Zafar's legacy is shaped by his significant contributions to medical question answering systems. With ongoing works focusing on enhancing abstractive question answering through first-order logic, Aizan is poised to leave a lasting impact on the intersection of AI and healthcare.

Looking forward, Aizan's dedication to learning, collaborative spirit, and leadership qualities position him as a future leader in the field, with the potential to shape the trajectory of Conversational AI and Natural Language Processing. His multifaceted approach, from research to teaching and organizational roles, signifies a holistic commitment to the advancement of knowledge in the realm of computer science and AI.

Notable Publications

 

Citation

A total of 14 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations     14           14
  • h-index       3              3
  • i10-index    0             0