Rajesh Kumar Chaudhary | Artificial Intelligence | Best Researcher Award

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Mr. Rajesh Kumar Chaudhary | Artificial Intelligence | Best Researcher Award

Thapar Institute of Engineering and Technology | India

Mr. Rajesh Kumar Chaudhary is a dedicated and result-oriented academician, serving as an Assistant Professor in the Department of Computer Science and Engineering. With over five years of academic and research experience, he has established expertise in clustered federated learning, wireless sensor networks, nature-inspired optimization algorithms, and privacy-preserving distributed artificial intelligence. His professional journey reflects a blend of strong teaching acumen, impactful research contributions, and a commitment to student mentorship. By integrating cutting-edge research with pedagogical innovation, he has significantly contributed to both the academic and practical realms of computer science. His scholarly work has been published in leading international journals, positioning him as an emerging voice in the domain of distributed and intelligent systems.

Education

Mr. Chaudhary holds a solid academic foundation in Computer Science and Engineering. He is currently pursuing a doctoral degree in the discipline from a reputed institute, with his research focusing on advancing clustered federated learning through nature-inspired optimization techniques and privacy-preserving mechanisms. Prior to his doctoral studies, he completed a Master of Technology in Computer Science and Engineering from a recognized university, where he specialized in developing optimization-based solutions for networked systems. His undergraduate studies in Computer Science and Engineering laid the groundwork for his expertise in networking, algorithms, and distributed computing. His academic trajectory has been characterized by consistent excellence, deep engagement with emerging technologies, and a passion for continuous learning.

Experience

Mr. Chaudhary has served as an Assistant Professor in the Department of Computer Science and Engineering at a well-regarded university, where he played a pivotal role in both academic delivery and extracurricular technical initiatives. He has taught core and advanced subjects including Computer Networks, Cryptography, Theory of Automata, and Operating Systems. Beyond classroom teaching, he has supervised multiple student research projects in clustered federated learning, wireless sensor networks, and optimization algorithms, guiding them toward impactful academic outputs. He has also organized workshops, industrial training programs, and technical seminars to bridge the gap between academic knowledge and industry expectations. Recognized for his commitment to institutional development, he has twice received the Best Training Coordinator award for his exceptional coordination of student training and placement activities.

Research Interest

Mr. Chaudhary’s research interests encompass a range of advanced computing topics, with a central focus on clustered federated learning (CFL) — an emerging paradigm in distributed artificial intelligence. He is particularly interested in integrating nature-inspired optimization algorithms, such as grey wolf optimization, real-coded genetic algorithms, and artificial bee colony optimization, to enhance the performance, scalability, and efficiency of CFL systems. His work also delves into privacy-preserving machine learning frameworks, aiming to ensure data security while maintaining high accuracy in distributed environments. Additionally, his research contributions to wireless sensor networks include the development and optimization of energy-efficient communication protocols, making significant strides toward sustainable IoT deployments. His scholarly output in reputed IEEE and Springer journals reflects both depth and breadth in these domains, combining theoretical rigor with practical applicability.

Awards

In recognition of his professional excellence, Mr. Chaudhary has been honored with multiple accolades. He was awarded the Best Training Coordinator on two occasions for his outstanding contributions to student training programs. His postgraduate studies were marked by top academic performance, earning him institutional recognition for his achievements. He has also been acknowledged for his contributions to sports, having represented his district in senior state-level football championships. Furthermore, his research dissemination activities, including paper presentations at national conferences, highlight his active engagement with the wider academic community.

Publications

Review paper on energy-efficient protocols in wireless sensor networks

Authors: R Chaudhary, S Vatta, P No
Journal: IOSR Journal of Engineering 4 (02), 01-07
Year: 2014

A tutorial of routing protocols in wireless sensor networks

Authors: R Chaudhary, DS Vatta
Journal: International Journal of Computer Science and Mobile Computing 3 (6), 971-979
Year: 2014

Performance optimization of WSN using deterministic energy efficient clustering protocol: A review

Authors: R Chaudhary, S Vatta
Journal: International Organization of Scientific Research Journal of Engineering 4 …
Year: 2014

A systematic review on federated learning system: a new paradigm to machine learning

Authors: RK Chaudhary, R Kumar, N Saxena
Journal: Knowledge and Information Systems 67 (2), 1811-1914
Year: 2025

Enhancing clustered federated learning using artificial bee colony optimization algorithm for consumer IoT devices

Authors: RK Chaudhary, R Kumar, K Aurangzeb, J Bedi, MS Anwar, A Choi
Journal: IEEE Transactions on Consumer Electronics
Year: 2024

Ameliorating clustered federated learning using real-coded genetic algorithm

Authors: RK Chaudhary, R Kumar, N Saxena
Journal: Cluster Computing 28 (6), 1-18
Year: 2025

Ameliorating clustered federated learning using grey wolf optimization algorithm for healthcare IoT devices

Authors: RK Chaudhary, R Kumar, N Saxena
Journal: The Journal of Supercomputing 81 (8), 976
Year: 2025

Conclusion

Mr. Rajesh Kumar Chaudhary exemplifies the qualities of a committed educator, innovative researcher, and proactive mentor. His expertise in clustered federated learning, optimization algorithms, and privacy-preserving distributed AI positions him at the forefront of technological advancements in distributed computing systems. With a career that blends academic excellence, impactful research, and active student engagement, he continues to contribute to the development of intelligent, secure, and efficient computing frameworks. His vision aligns with the future of intelligent systems, where collaborative machine learning and optimization strategies will play a crucial role in shaping secure and high-performance applications across domains.

Tian Tian | Data Analysis | Best Researcher Award

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Dr. Tian Tian | Data Analysis | Best Researcher Award

The Affiliated Hospital of Qingdao University | China

Dr. Tian Tian is an accomplished Associate Professor of Obstetrics and Gynecology, recognized for her expertise in gynecologic oncology, pelvic floor disorders, and inflammatory diseases affecting women’s health. Combining extensive clinical acumen with a strong foundation in translational research, she bridges the gap between patient care and innovative medical science. Her career reflects a deep commitment to improving surgical outcomes, refining treatment algorithms, and guiding evidence-based protocols in complex gynecologic conditions. She is known for mentoring residents and fellows, fostering the next generation of specialists in women’s health.

Professional Profile

SCOPUS

Education

Dr. Tian Tian earned her Doctor of Philosophy in a specialized field of obstetrics and gynecology, equipping her with advanced scientific, clinical, and analytical skills. Her education included rigorous training in translational medicine, surgical innovation, and data-driven clinical research, enabling her to tackle intricate challenges in gynecologic oncology and pelvic floor disorders. This strong academic foundation provided the tools to integrate cutting-edge technology, such as minimally invasive surgical approaches and predictive analytics, into her medical practice.

Experience

With extensive academic and clinical experience, Dr. Tian serves as an Associate Professor of Obstetrics and Gynecology, leading both patient care and research initiatives. In her role, she oversees surgical and systemic management of gynecologic cancers, incorporating advanced laparoscopic and robotic-assisted procedures. She has pioneered techniques in pelvic floor reconstruction, focusing on improving quality of life for patients suffering from prolapse and incontinence. Her experience extends to the development of clinical pathways for managing recurrent infections and inflammatory gynecologic conditions. Dr. Tian is equally committed to teaching, supervising residents and fellows, and promoting excellence in surgical skill acquisition and patient-centered care.

Research Interest

Dr. Tian’s research lies at the intersection of clinical practice and translational science. She specializes in utilizing large-scale clinical datasets to optimize oncology treatment algorithms, particularly identifying biomarkers and predictors of therapeutic response, such as those for PARP inhibitor efficacy in ovarian cancer. Her research also incorporates cost-effectiveness analyses of novel therapies, ensuring that innovative treatments are not only clinically effective but also economically viable for broader healthcare systems. She maintains a strong interest in refining surgical interventions for pelvic floor disorders and in developing evidence-based guidelines for managing chronic inflammatory conditions in gynecology.

Awards

Dr. Tian’s contributions to women’s health have been recognized through academic honors, professional awards, and invitations to present at leading medical conferences. Her innovative approaches in gynecologic oncology and pelvic floor reconstruction have earned her accolades from both clinical and research communities. Her role as a mentor has also been acknowledged through teaching awards, reflecting her dedication to education and leadership in her field.

Publications

Comparative effectiveness and safety of treatment regimens for recurrent advanced ovarian cancer: a systematic review and network meta-analysis

  • Authors: Xingfa Huo, Tian Tian, Xiaochun Zhang, Na Zhou

  • Journal: World Journal of Surgical Oncology

  • Year: 2025

Clinical characteristics and prognosis of rhabdomyosarcoma in the female reproductive system: a population-based analysis using SEER data

  • Authors: Xinyan Gao, Yan Kong, Ying Ning, Zhumei Cui, Ke Lei, Tian Tian

  • Journal: International Journal of Gynecological Cancer

  • Year: 2025

Conclusion

Dr. Tian Tian’s career embodies a rare balance of surgical excellence, scientific rigor, and compassionate care. Her impact extends beyond the operating room and research laboratory, shaping the future of obstetrics and gynecology through innovation, mentorship, and dedication to patient outcomes. By integrating data science, precision medicine, and advanced surgical techniques, she continues to push the boundaries of women’s healthcare. Her work not only transforms individual patient journeys but also influences clinical guidelines and healthcare policy, leaving a lasting legacy in the field.

Bipasha Das | Laser Surface Engineering | Best Researcher Award

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Ms. Bipasha Das | Laser Surface Engineering | Best Researcher Award

Indian Institute of Technology Kharagpur | India

Bipasha Das is a dedicated researcher in the field of nanoscience and technology, specializing in surface engineering of titanium alloys for biomedical applications. Her academic journey and research pursuits reflect a strong commitment to advancing the performance of bio-implant materials through innovative laser-based surface modification techniques. With a robust foundation in chemical engineering and environmental engineering, she bridges the gap between materials science and biomedical engineering. Bipasha’s work combines deep theoretical knowledge with extensive experimental expertise, contributing significantly to the improvement of tribological, corrosion, and biocompatibility properties of titanium-based alloys. She has shared her research at prestigious international conferences and published in high-impact journals, gaining recognition for her scientific contributions.

Professional Profile

SCOPUS

GOOGLE SCHOLAR

Education

Bipasha holds a Ph.D. in Nanoscience and Technology from the Indian Institute of Technology Kharagpur, where her thesis focuses on the “Surface Engineering of Titanium Alloys for Biomedical Applications.” Her doctoral research involves diverse laser processing techniques, including laser surface melting, composite surfacing, shock peening, and hybrid laser processing of Ti6Al4V alloy. She also earned a Master’s degree in Chemical Engineering with a specialization in Environmental Engineering from the University of Calcutta, where she conducted research on photocatalytic degradation of nanocomposite films. Her academic foundation was laid with a Bachelor’s degree in Chemical Engineering from Maulana Abul Kalam Azad University of Technology, West Bengal. This multidisciplinary education has equipped her with strong technical knowledge, analytical skills, and the ability to address challenges at the intersection of materials science, environmental sustainability, and biomedical engineering.

Experience

Throughout her academic and research career, Bipasha has engaged in extensive laboratory work, mastering advanced characterization and testing methods for engineering materials. Her expertise spans metallographic sample preparation, optical microscopy, surface profilometry, X-ray diffraction, X-ray photoelectron spectroscopy, scanning electron microscopy, microhardness testing, nanoindentation, electrochemical evaluation, wear testing, and tribocorrosion studies. She has also acquired proficiency in various software tools, data analysis methods, and programming languages, enabling her to interpret experimental results with precision. Her professional experience includes industrial training at reputed companies, where she developed practical knowledge of chemical process operations. Additionally, she has contributed as a speaker at multiple national and international conferences, showcasing her findings to a global scientific community.

Research Interest

Bipasha’s primary research interest lies in enhancing the functional performance of titanium-based alloys for biomedical applications through advanced surface engineering. She focuses on laser-assisted techniques to improve wear resistance, corrosion protection, and biocompatibility of Ti6Al4V alloy implants. Her studies investigate the kinetics and mechanisms of tribo-corrosion, the development of in situ carbide-reinforced titanium matrix composites, and the optimization of surface treatments for long-term implant stability. She is also keenly interested in hybrid laser processing methods that combine mechanical, chemical, and thermal effects to create superior surface properties. Beyond biomedical applications, her background in environmental engineering provides her with an interdisciplinary approach, enabling her to explore sustainable and eco-efficient materials processing.

Awards

Bipasha’s research excellence has been recognized through various academic and professional achievements. She received the Journal of Bio and Tribo-Corrosion (JBTC) award for the best presentation and scientific contribution at the 6th International Conference on Tribo-Corrosion. Her selection as a speaker at numerous international symposia and conferences, including events in the United Kingdom and collaborative Indo-Austrian programs, further demonstrates her prominence in the scientific community. She has also been a recipient of government scholarships in recognition of her academic merit, which has supported her advanced studies and research pursuits.

Publications

Mechanically tailored surface of titanium-based alloy (Ti6Al4V) by laser surface treatment

Authors: Das, B., Srivastava, S. K., Manna, I., & Majumdar, J. D.

Journal: Surface and Coatings Technology

Year: 2024

Studies on Kinetics and Mechanism of Tribo-corrosion of in situ Laser Composite Surfaced Ti6Al4V using diode laser

Authors: Das, B., Srivastava, S. K., Manna, I., & Majumdar, J. D.

Journal: Tribology International

Year: 2025

Conclusion

Bipasha Das exemplifies the qualities of a forward-thinking researcher dedicated to innovation in biomedical materials engineering. Her work in laser-based surface engineering has the potential to significantly impact the design and durability of next-generation bio-implants, offering improved performance and patient outcomes. With her strong academic foundation, cross-disciplinary expertise, and growing international presence, she stands as a promising contributor to both scientific advancement and practical applications in healthcare materials. Her future endeavors are poised to build on her current successes, further bridging the gap between advanced materials processing and biomedical innovation.

Zakiyeh azdanshenas | Qualitative Research | Best Researcher Award

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Dr. Zakiyeh azdanshenas | Qualitative Research | Best Researcher Award

University of Tehran | Iran

Dr. Zakiyeh Yazdanshenas is an accomplished scholar and academic leader specializing in International Relations, Regional Studies, and China–Middle East dynamics. She currently serves as an Assistant Professor at the University of Tehran’s Faculty of World Studies, Department of East and South Asian Studies, where she designs and delivers graduate-level courses on politics, China’s foreign policy, and global cultural transitions. Alongside her academic post, she is a Research Fellow at the Center for Applied Research in Partnership with the Orient (Germany) and the Director of the China–MENA Relations Research Group at the Center for Scientific Research and Middle East Strategic Studies (Iran). With a blend of academic, policy, and research expertise, Dr. Yazdanshenas plays a pivotal role in fostering dialogue and knowledge exchange on geopolitical developments, regional integration, and cross-cultural engagement.

Professional Profile

ORCID

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Education

Dr. Yazdanshenas holds a Ph.D. in Regional Studies from the University of Tehran, where her doctoral research explored the “Pivot to Asia Strategy” and its implications for the Middle East’s regional order under the guidance of distinguished professors. She earned her Master’s degree in International Relations from Shahid Beheshti University, focusing on China’s position in the international system and its strategic opportunities and challenges. Her academic journey began with a Bachelor’s degree in Political Science from the University of Shiraz, where she developed the foundational knowledge that would later underpin her scholarly focus on Asia–Middle East relations.

Experience

Dr. Yazdanshenas has an extensive academic and research portfolio. At the University of Tehran, she is responsible for graduate modules such as Introduction to Politics, China’s Foreign Policy, and Culture and Identity in a World in Transition. She has also served as Visiting Assistant Professor at the University of Tehran’s Faculty of Law and Political Science, Allameh Tabataba’i University, and the University of Bojnord, teaching subjects including U.S. foreign policy, theories of regional studies, and international negotiations.
Her research experience spans roles as Researcher at the Islamic Parliament Research Center of Iran, where she produced policy reports on China’s foreign policy in Central and West Asia, and as a long-term Research Fellow at the Center for Scientific Research and Middle East Strategic Studies. She has actively engaged in project-based research funded by prestigious institutions, covering topics such as China’s antitrust laws, Iran–China strategic partnerships, and U.S. governmental foreign policy strategies. Beyond academia, she has contributed to the public discourse as a journalist and columnist for leading Iranian and international platforms.

Research Interests

Her research interests lie at the intersection of International Relations, Regional Studies, and comparative foreign policy, with a primary focus on China–Middle East relations, U.S.–China strategic rivalry, and geopolitical transitions in the MENA region. She is particularly engaged in examining how China’s expanding role affects regional connectivity, security dialogue, and economic integration. Other interests include identity politics in global affairs, international negotiations, and the influence of major power competition on regional orders. Her work blends theoretical analysis with policy-relevant insights, aiming to contribute both to academic scholarship and to informed policymaking.

Awards & Recognitions

While her academic career is defined more by scholarly contributions and leadership roles than formal awards, Dr. Yazdanshenas’s recognition comes through her international invitations to speak at high-profile conferences and panels. She has been a guest speaker at globally respected institutions and forums, including Princeton University, the Middle East Institute (Singapore), CARPO, and the Arab Center for Research and Policy Studies. These invitations reflect the global relevance of her research and the esteem in which she is held by peers in academia and policy circles.

Publication

From Engaging to Containing China: US Attempts to Fill Power-role Gaps (2000–2018)

Authors: Zakiyeh Yazdanshenas
Journal: The International Spectator
Year: 2025

China-Iran Strategic Partnership and the Future of US Hegemony in the Persian Gulf Region

Authors: Alam Saleh, Zakiyeh Yazdanshenas
Journal: British Journal of Middle Eastern Studies
Year: 2024

Economic Diplomacy and China’s Strategy in Regulating Relations with Iran and Saudi Arabia

Authors: Zakiyeh Yazdanshenas
Journal: Strategic Studies of Public Policy
Year: 2022

International Institutions of the Middle East: The GCC, Arab League, and Arab Maghreb Union

Authors: Zakiyeh Yazdanshenas
Journal: British Journal of Middle Eastern Studies
Year: 2021

Conclusion

Dr. Zakiyeh Yazdanshenas stands out as a leading voice in analyzing and shaping the discourse on China–Middle East relations and broader geopolitical transformations. Her multidisciplinary expertise, teaching excellence, and extensive research engagements position her as both a scholar and a bridge-builder between academic research and policy application. Through her roles in academia, research institutes, and international platforms, she has contributed significantly to understanding the dynamics of regional orders and the interplay of global powers. Her ongoing work continues to influence scholarly debates, policy formulation, and cross-regional collaboration, underscoring her role as an influential figure in the evolving landscape of international relations.

Lianhong QIU | Data Analysis | Best Researcher Award

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Assoc Prof Dr. Lianhong QIU | Data Analysis | Best Researcher Award

Guangdong Provincial Party School of the CPC | China

Assoc. Prof. Dr. Lianhong Qiu is a distinguished scholar and academic at the Guangdong Provincial Party School of the Communist Party of China (CPC). With a firm grounding in economics and governance, he has cultivated an academic profile that blends theoretical rigor with practical application. His scholarly work addresses the intersections of climate risk, industrial development, and technological transformation, particularly within the context of China’s evolving energy and policy landscape. His research reflects a commitment to exploring actionable solutions that align economic growth with environmental sustainability and energy security.

Professional Profile

SCOPUS

Education

Dr. Qiu earned his Ph.D. in Economics from the prestigious Party School of the Central Committee of the CPC, now recognized as the National Academy of Governance. His academic journey was grounded in comprehensive training in macroeconomics, industrial policy, and state governance, equipping him with the tools to dissect complex systemic interactions within China’s socio-economic framework. This background provided the foundation for his interdisciplinary approach to economic research, incorporating advanced econometric methods, risk analysis, and policy impact evaluation.

Experience

As an Associate Professor at the Guangdong Provincial Party School of the CPC, Dr. Qiu plays a pivotal role in shaping the intellectual discourse on economic transformation and governance. He is actively involved in training government officials and contributing to the academic development of future policy leaders. His teaching covers subjects related to industrial economics, climate economics, and innovation policy, while his administrative contributions support academic research and institutional collaboration. His experience extends beyond academia into policy consultancy, where he offers insights into the real-world implications of emerging economic trends.

Research Interest

Dr. Qiu’s primary research interest lies in industrial economic development, with a strong emphasis on the interface between environmental risks and technological advancement. His recent work addresses the dynamic interactions among climate physical risk (PRI), transition risk (TRI), and new energy vehicle (NEV) adoption in China. By applying time-varying parameter vector autoregression models with stochastic volatility, he introduces innovative tools for quantifying the evolving relationships between these variables. This methodological approach allows for a nuanced understanding of the cause-effect mechanisms underpinning industrial and environmental shifts, especially within the energy and transportation sectors.

He also explores asymmetric impacts and feedback loops—for instance, while physical climate risks may suppress consumer uptake of NEVs, transition-related regulatory pressures tend to encourage their adoption. Additionally, his findings highlight that while NEV growth mitigates physical climate risk, it may also exacerbate transition risk under certain conditions. These insights have significant implications for balancing industrial policy, environmental sustainability, and energy strategy.

Award

Dr. Qiu’s contributions have been recognized within academic and policy-making circles for their methodological sophistication and relevance to contemporary governance challenges. His research has been acknowledged for its impact on policy design and strategic planning in the field of green transition and industrial transformation. By offering empirical insights that align with China’s dual-carbon goals, his work is instrumental in shaping regional and national strategies for green innovation, energy resilience, and climate adaptation.

Publication

How do climate risks intersect with the rise of new energy vehicles in China?

  • Authors: Qiu, LH; Wong, XQ; (…); Song, YB

  • Journal: Economic Analysis and Policy

  • Year: 2025

The essential role of big data: Could it effectively mitigate non-performing loans?

  • Authors: Qiu, LH; Su, HD; (…); Qin, M

  • Journal: Romanian Journal of Economic Forecasting

  • Year: 2024

Are there digital tech bubbles in China?

  • Authors: Qin, M; Su, CW; (…); Lobont, OR

  • Journal: Technological and Economic Development of Economy

  • Year: 2024

Climate policy uncertainty, oil price and agricultural commodity: From quantile and time perspective

  • Authors: Wang, KH; Kan, JM; (…); Xu, SL

  • Journal: Economic Analysis and Policy

  • Year: 2023

The inevitable role of El Nino: A fresh insight into the oil market

  • Authors: Qin, M; Qiu, LH; (…); Jiao, W

  • Journal: Economic Research – Ekonomska Istraživanja

  • Year: 2020

Conclusion

Assoc. Prof. Dr. Lianhong Qiu stands out as a dynamic scholar whose interdisciplinary expertise contributes to the evolving discourse on sustainable industrial development in China. Through innovative methodological approaches, empirical rigor, and a strong commitment to real-world impact, he addresses pressing challenges at the nexus of climate change, economic transition, and technological innovation. His work not only advances academic thought but also provides actionable guidance for policymakers navigating the complexities of green growth and energy transformation. As China and the world face intensifying climate and energy challenges, Dr. Qiu’s research continues to offer vital pathways for aligning economic prosperity with environmental stewardship.

Dugki Min | Machine Learning and AI Applications | Best Researcher Award

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Prof Dr. Dugki Min | Machine Learning and AI Applications | Best Researcher Award

Konkuk University | South Korea

Prof. Dr. Dugki Min is a distinguished academic and thought leader in the field of computer science and artificial intelligence. Currently serving as a Full Professor at the Department of Computer Science and Engineering, College of Engineering, and Department Head of Artificial Intelligence at the General Graduate School of Konkuk University, Seoul, South Korea, he has dedicated nearly three decades to education, research, and innovation. His multidisciplinary expertise, encompassing software engineering, intelligent systems, distributed computing, and AI-based smart city applications, positions him as a pioneer in shaping Korea’s digital transformation and global technology collaborations.

Professional Profiles

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ORCID

GOOGLE SCHOLAR

Education

Prof. Min holds a Ph.D. and M.S. in Computer Science from Michigan State University, USA, where he developed a strong foundation in systems architecture and distributed computing. He completed his undergraduate studies in Industrial Engineering at Korea University. His education spans both technical and applied domains, enabling a balanced approach to both theoretical advancements and practical innovations.

Experience

Since joining Konkuk University in 1995, Prof. Min has held several leadership roles, including Research Director of the Distributed Multimedia Lab and Department Head for multiple programs in both the College of Engineering and the General Graduate School. His international academic footprint includes appointments as Visiting Professor at Pacific State University, USA, and Vanderbilt University. Beyond academia, he has significantly influenced industry practices through advisory roles at Samsung Electronics, national IT committees, and standardization bodies such as OASIS and the National Information Society Agency. His longstanding contributions to Korea’s software and simulation societies have solidified his reputation as a key figure in technological policymaking and industry collaboration.

Research Interest

Prof. Min’s research focuses on secure, intelligent, and scalable computing systems. His work spans artificial intelligence, distributed multimedia systems, digital twin technologies, edge-cloud computing, disaster-resilient smart cities, and cyber-physical systems. He leads major government-funded projects including AI-based public safety frameworks and digital twin applications for smart urban air mobility (UAM). His current projects emphasize the convergence of AI, bio-inspired frameworks, and real-time urban analytics to develop resilient, adaptive systems for modern cities. He has also delved into IPFS, blockchain, and biometric authentication, driving forward novel approaches in cybersecurity and information infrastructure.

Awards and Recognition

Prof. Min’s contributions have been recognized through numerous research grants and leadership roles in prestigious international conferences, including the International Conference on IT Promotion in Asia and the International Semantic Web Conference. His role as Program Chair and Steering Committee Member across multiple academic and government platforms highlights his global impact. Additionally, his collaborations with government ministries such as the Ministry of Science and ICT have resulted in pivotal national R&D programs, affirming his status as a trusted thought leader in AI and future mobility solutions.

Publications

Enhancing data harvesting systems: Performance quantification of Cloud–Edge-sensor networks using queueing theory

Authors: Jose Wanderlei Rocha, Eder Gomes, Vandirleya Barbosa, Arthur Sabino, Luiz Nelson Lima, Gustavo Callou, Francisco Airton Silva, Eunmi Choi, Tuan Anh Nguyen, Dugki Min et al.
Journal: ICT Express
Year: 2025

DDS-P: Stochastic models based performance of IoT disaster detection systems across multiple geographic areas

Authors: Israel Araújo, Luis Guilherme Silva, Carlos Brito, Dugki Min, Jae-Woo Lee, Tuan Anh Nguyen, Erico Leão, Francisco A. Silva
Journal: ICT Express
Year: 2025

Transactional dynamics in hyperledger fabric: A stochastic modeling and performance evaluation of permissioned blockchains

Authors: Carlos Melo, Glauber Gonçalves, Francisco Airton Silva, Iure Fé, Ericksulino Moura, André Soares, Eunmi Choi, Dugki Min, Jae-Woo Lee, Tuan Anh Nguyen
Journal: ICT Express
Year: 2025

Multi-head Fusion-based Actor-Critic Deep Reinforcement Learning with Memory Contextualisation for End-to-End Autonomous Navigation

Authors: Seunghyeop Nam, Tuan Anh Nguyen, Eunmi Choi, Dugki Min
Journal: TechRxiv (Preprint)
Year: 2025

Aerial computing: Enhancing mobile cloud computing with unmanned aerial vehicles as data bridges—A Markov chain based dependability quantification

Authors: Francisco A. Silva, Iure Fé, Carlos Brito, G. Araujo, L. Feitosa, Tuan Anh Nguyen, K. Jeon, J.-W. Lee, Dugki Min, Eunmi Choi
Journal: ICT Express
Year: 2024

Deep learning methods for high-level control using object tracking

Authors: Kanmani P., Yuvaraj N., Karthic S., Sri Preethaa K.R., Dugki Min
Journal: Book Chapter in Urban Air Mobility: Intelligent, Safe and Sustainable Systems for Future Transportation
Year: 2024

Efficient Strategies for Unmanned Aerial Vehicle Flights: Analyzing Battery Life and Operational Performance in Delivery Services using Stochastic Models

Authors: Francisco A. Silva, Vandirleya Barbosa, Luiz Nelson Lima, Arthur Sabino, Paulo Rego, Luciano F. Bittencourt, J. Lee, Dugki Min, Tuan Anh Nguyen
Journal: IEEE Access
Year: 2024

Energy Consumption in Microservices Architectures: A Systematic Literature Review

Authors: Gabriel Araújo, Vandirleya Barbosa, Luiz Nelson Lima, Arthur Sabino, Carlos Brito, Iure Fé, Paulo Rego, Eunmi Choi, Dugki Min, Tuan Anh Nguyen et al.
Journal: IEEE Access
Year: 2024

Conclusion

Prof. Dr. Dugki Min exemplifies academic excellence, innovative research, and impactful leadership in computer science and artificial intelligence. His ability to merge theory with application has led to the creation of intelligent systems that address real-world challenges—from traffic prediction and public safety to accessibility and secure computing. With a prolific record of publications, patents, and technology transfer initiatives, he continues to push the boundaries of smart system design and AI integration in urban and industrial ecosystems. His forward-thinking vision, combined with strong collaboration across academia, government, and industry, ensures his enduring influence in Korea and beyond.

Jia Liang | Neuroscience Data Analysis | Best Researcher Award

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Prof. Jia Liang | Neuroscience Data Analysis | Best Researcher Award

Jinzhou Medical University | China

Prof. Jia Liang, Ph.D., is a distinguished neuroscientist and professor-level senior experimentalist at the Life Science Institute of Jinzhou Medical University, China. With over a decade of focused research in the field of neurobiology, her scientific journey has been defined by groundbreaking contributions to the understanding of cerebral ischemic injury and neuroprotection. Her work is widely recognized both nationally and internationally, marked by a robust portfolio of funded research projects, prolific publications, and collaborative engagements in translational neuroscience.

Professional Profile

SCOPUS

Education

Prof. Liang began her academic pursuit with a Bachelor’s degree in Clinical Medicine from Jinzhou Medical College. She further specialized in Physiology with a Master’s degree from Liaoning Medical University. Demonstrating a deep commitment to neurological sciences, she later completed her Ph.D. in Neurobiology from Capital Medical University in Beijing, where she developed her foundational expertise in molecular and cellular mechanisms underlying stroke-related brain injury.

Experience

Her professional career commenced as an Assistant Experimentalist at the Central Laboratory of Jinzhou Medical University, where she quickly ascended the ranks to become a Senior Experimentalist and eventually a Professor-level Senior Experimentalist at the university’s Life Science Institute. She also broadened her international exposure during her post-doctoral fellowship at the Health Science Centre of the University of New Mexico in the United States, where she engaged in advanced neuroscience research. Throughout her tenure, Prof. Liang has been deeply involved in mentoring students, managing laboratory operations, and leading numerous high-impact research projects on stroke and neural injury.

Research Interest

Prof. Liang’s primary research interests lie in the molecular mechanisms of brain injury and neuroprotection, especially within the context of cerebral ischemia. Her work explores the role of zinc in brain-to-spleen immune pathways, blood-brain barrier integrity, autophagy, ferroptosis, and the application of stem cell-derived exosomes in stroke therapy. A key focus of her research is understanding the neurovascular unit’s dynamics and identifying new biomarkers and therapeutic targets for ischemic injury. Her innovative use of nanotechnology, exosome biology, and targeted gene/protein modulation has significantly contributed to modern stroke therapeutics and regenerative neurology.

Award and Funding

Prof. Liang has received consistent research funding from prestigious sources, including the National Natural Science Foundation of China and the Natural Science Foundation of Liaoning Province.  She has also secured institutional and educational department grants focused on neuroprotection through mesenchymal stem cell-derived exosomes and the modulation of oxidative stress pathways. Her funding portfolio reflects both her scientific credibility and the practical relevance of her research in addressing pressing neurological health issues.

Publications

Brain Targeting Bacterial Extracellular Vesicles Enhance Ischemic Stroke Therapy via Efficient ROS Elimination and Suppression of Immune Infiltration

  • Authors: [Names not provided – please insert from source]

  • Journal: ACS Nano

  • Year: 2025

Indoleamine 2,3-dioxygenase-1 Involves in CD8⁺ T Cell Exhaustion in Glioblastoma via Regulating Tryptophan Levels

  • Authors: [Names not provided – please insert from source]

  • Journal: International Immunopharmacology

  • Year: 2024

β-1,4-Galactosyltransferase 1 Protects Against Cerebral Ischemia Injury in Mice by Suppressing Ferroptosis via the TAZ/Nrf2/HO-1 Signaling Pathway

  • Authors: [Names not provided – please insert from source]

  • Journal: CNS Neuroscience and Therapeutics

  • Year: 2024

Conclusion

Prof. Jia Liang stands at the forefront of experimental neurobiology with her comprehensive, multidisciplinary approach to stroke research. Her expertise spans molecular biology, immunology, stem cell therapy, and nanomedicine, allowing her to tackle complex neurovascular disorders with innovation and precision. With an extensive publication record in high-impact journals and an ever-expanding research network, she continues to influence the global neuroscience community through her discoveries, mentorship, and scientific leadership. Her future work promises to further unravel the intricacies of brain injury and recovery, ultimately paving the way for more effective treatments for stroke and related neurological conditions.

Manit Shah | Risk-informed performance-based approach | Best Researcher Award

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Dr. Manit Shah | Risk-informed performance-based approach | Best Researcher Award

Oak Ridge National Laboratory | United States

Manit Shah is a nuclear engineer and research scientist specializing in radiation detection, nuclear safeguards, and advanced reactor technologies. With significant experience across leading research institutions and regulatory agencies, his career spans critical domains such as nuclear security, reactor safety, material control and accounting, and chemical security. He currently serves at Oak Ridge National Laboratory, leading multi-disciplinary teams and serving as a Principal Investigator on several U.S. Department of Energy and National Nuclear Security Administration (NNSA) initiatives. Manit has contributed extensively to the development of safeguards methodologies, verification tools, and policy-relevant assessments, making impactful contributions to global nuclear security and reactor safety.

Professional Profile

ORCID

scopus

Education

Manit Shah holds a Ph.D. in Nuclear Engineering from Texas A&M University, where his dissertation focused on the development of novel radiation detectors using integrated circuits. His work included simulation analyses with MCNP(X) and GEANT4 to optimize detector designs for a broad spectrum of radiological particles. Prior to this, he earned his M.Tech. in Nuclear Engineering from Pandit Deendayal Petroleum University, where his thesis dealt with fault detection and fault-tolerant controller design for nuclear steam generators using MATLAB. He began his academic journey with a B.E. in Electronics Engineering from the University of Mumbai, where he contributed to industrial retrofit projects that enhanced machine performance in manufacturing environments.

Experience

Currently, Manit Shah is employed as a Verification Technologies Engineer at Oak Ridge National Laboratory. In this capacity, he leads U.S. and international projects on nuclear safeguards, microreactor security, and advanced reactor designs. He spearheads initiatives related to nondestructive verification tools, conversion time assessments, seal verification systems, and design information evaluations for next-generation nuclear reactors. Additionally, he has held the role of Specialist at the Canadian Nuclear Safety Commission, where he performed safety reviews for CANDUs and small modular reactors (SMRs) and contributed to emergency response exercises and compliance verification activities.

Previously, he worked as a Research Scientist at Canadian Nuclear Laboratories, focusing on reactor safety modeling and remote monitoring systems for SMRs in remote areas. As a faculty member at Virginia Commonwealth University, he delivered lectures and led workshops in nuclear security and nonproliferation, while also generating research grants in nuclear safeguards and chemical security. His early career also includes roles at Tetra Tech HEI and Texas A&M University, where he contributed to transit matching improvements under international nuclear safeguards and radiological emergency response training exercises.

Research Interests

Manit’s research interests span a wide range of topics within nuclear engineering and security. His core focus areas include reactor safety analysis, safeguards technology, radiation detection, molten salt reactor holdup assessments, and microreactor sabotage scenario modeling. He is also interested in advancing tools and strategies for physical protection systems, emergency response planning, and unattended monitoring systems for isolated or remote nuclear facilities. His innovative modeling efforts have provided valuable insights into safeguards approach development and radiological consequence assessments, using platforms like MELCOR, MAAP-CANDU, and FATE.

Awards

Over the years, Manit Shah has received multiple awards in recognition of his innovative contributions and dedication to advancing nuclear science. Notable among them is the Early Career Award presented at the Institute of Nuclear Materials Management (INMM) Annual Meeting in 2024. He also received best student paper awards from both the Education and Training and the Nonproliferation and Arms Control Divisions of INMM. Throughout his academic career, he secured multiple student travel grants from Texas A&M University and the Health Physics Society to attend leading conferences and workshops. Additionally, he received an educational grant from the J. R. D. Tata Trust earlier in his career.

Publications

Fault Tolerant Control in a Nuclear Steam Generator

  • Authors: Shah, M.D.; Detroja, K.; Parikh, N.

  • Journal/Source: SSRN

  • Year: 2025

Capacity Expansion Analysis of Small Modular Reactors

  • Authors: Shah, M.D.; Westphal, G.; Williams, W.C.; Grappone, J.M.; Signorotti, M.; Cameron-Smith, P.; Watson, J.P.

  • Journal/Source: Transactions of the American Nuclear Society

  • Year: 2024

Fault Tolerant Control in a Nuclear Steam Generator (duplicate with different year)

  • Authors: Shah, M.D.; Detroja, K.; Parikh, N.

  • Journal/Source: SSRN

  • Year: 2024

Assessment of Filtered Containment Venting Strategies for Mitigating Severe Accident Consequences at a Generic Single-Unit CANDU

  • Authors: Shah, M.D.; Morreale, A.C.; Lebel, L.S.

  • Journal/Source: Journal of Nuclear Engineering and Radiation Science

  • Year: 2023

Sensitivity Analysis of Severe Accident Calculations for the Estimation of CANDU-Specific OILs

  • Authors: Morreale, A.C.; Shah, M.D.; Lebel, L.S.; Brown, M.J.

  • Journal/Source: Annals of Nuclear Energy

  • Year: 2023

Conclusion

Manit Shah is a dedicated nuclear engineer whose multidisciplinary expertise bridges the gap between technical innovation and policy implementation in the nuclear sector. With a strong academic foundation, practical regulatory experience, and a passion for teaching and mentorship, he continues to play a critical role in shaping the future of nuclear safety, safeguards, and security. His work has influenced domestic and international approaches to advanced nuclear reactor deployment, material control strategies, and emergency preparedness. As both a leader and contributor in key technical and policy-driven projects, he exemplifies the qualities of a forward-thinking researcher committed to global nuclear nonproliferation and safety.

Arjun Prakash | Social Impact | Best Researcher Award

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Mr. Arjun Prakash | Social Impact | Best Researcher Award

Indian Institute of Technology Kharagpur | India

Arjun Prakash is an emerging scholar in labour economics and development policy, currently based at the Indian Institute of Technology (IIT) Kharagpur. Having submitted his PhD thesis and awaiting his defence, he has already demonstrated a strong research orientation and academic maturity. His scholarship is deeply rooted in understanding social structures and institutional dynamics that shape labour market outcomes in contemporary India. Arjun’s work interrogates issues of wage inequality, employment stratification, and workforce segmentation through rigorous empirical methods. With a growing publication record, conference participation across national and international venues, and involvement in teaching and peer-review processes, Arjun brings a balanced profile of research, pedagogy, and academic engagement. His academic journey reflects a commitment to social justice, empirical accuracy, and policy relevance—values that consistently underpin his intellectual contributions.

Professional Profile

ORCID

GOOGLE SCHOLAR

Education

Arjun completed his doctoral studies at the Department of Humanities and Social Sciences, IIT Kharagpur, specializing in labour market economics. His PhD research, titled Gender and Caste Disparity on Employment and Wages: Evidence from Formal Labor Markets in India, was supervised by Dr. Inder Sekhar Yadav and drew on extensive datasets and econometric techniques. Prior to this, he earned a Master of Arts in Economics from the University of Hyderabad, where he began exploring themes around inequality and structural exclusion. His foundational training in economics was acquired during his undergraduate studies at Kerala University. Through these institutions, he developed a robust understanding of economic theory, research methodology, and socio-political frameworks necessary for interpreting complex labour issues.

Experience

During his time at IIT Kharagpur, Arjun worked as a Teaching Assistant for undergraduate and postgraduate courses, including Econometrics, Public Policy, and Financial Management. In this capacity, he contributed to curriculum support, conducted tutorial sessions, clarified concepts in doubt-clearance classes, and graded student assignments. Additionally, he mentored students and helped foster analytical thinking. Beyond IIT, he also served as a Resource Person at Sree Narayana College, Kollam (affiliated with Kerala University), where he conducted a seminar on research methodology for postgraduate economics students. His experience further extends into academic peer reviewing, having evaluated manuscripts for interdisciplinary journals under the Nature Portfolio, thereby contributing to scholarly quality assurance and editorial processes.

Research Interests

Arjun’s research interests lie at the intersection of labour economics, development studies, and public policy. His work critically examines wage inequality, employment outcomes, and access disparities across gender, caste, and educational qualifications. He employs advanced econometric tools and original datasets to explore these issues, particularly within India’s formal and rapidly digitizing sectors. Additionally, he investigates how social identities and institutional frameworks affect labour market dynamics and the quality of employment. His broader research also spans human capital formation, the impact of technological change on work structures, and the role of education in shaping equitable economic development. Recent work also delves into scientometrics and gender disparities in academic publishing.

Awards and Achievements

Arjun has several notable achievements to his credit. He qualified for the UGC-NET for Assistant Professorship in December 2018. His scholarly contributions have been recognized through publications in reputable journals such as Labour & Industry, Review of Social Economy, Equality, Diversity and Inclusion, Humanities and Social Sciences Communication, and Scientometrics. His paper presentations at prominent academic forums include the American Economic Association (AEA) Annual Meeting, the Indian Statistical Institute (ISI), the India Management Research Conference (IMRC) at IIM Ahmedabad, and the Young Scholar Initiative (YSI) Festival at IIT Bombay. He has also presented at globally recognized platforms like the University of California Berkeley-Oxford Human Rights Hub Conference and the Sixth IGIDR Conversation on Research (CoRe), further affirming his engagement with both domestic and international academic communities.

Publications

Writing without Borders: AI and Cross-Cultural Convergence in Academic Writing Quality

Authors: Arjun Prakash, Shruti Aggarwal, Jeevan John Varghese, Joel John Varghese
Journal: Humanities and Social Sciences Communications
Year: 2025

Breaking Barriers or Reinforcing Stereotypes? A Comprehensive Analysis of the Gender Pay Gap and Glass Ceiling in the Indian Tech Industry

Authors: Arjun Prakash, Inder Sekhar Yadav
Journal: Labour and Industry
Year: 2025

What’s in a Name? Examining the Impact of Upper Caste Surnames on Wages and Employment in the Indian Information Technology Sector

Authors: Arjun Prakash
Journal: Equality, Diversity and Inclusion: An International Journal
Year: 2025

Disparity in Employment in India: Evidence from Engineering Graduates across Social Groups and Gender

Authors: Arjun Prakash, Inder Sekhar Yadav
Journal: Review of Social Economy
Year: 2024

Gender of Gender Studies: Examining Regional and Gender-Based Disparities in Scholarly Publications

Authors: Arjun Prakash, Jeevan John Varghese, Shruti Aggarwal
Journal: Scientometrics
Year: 2024

Conclusion

Arjun Prakash exemplifies the qualities of a socially conscious and empirically grounded economist. His academic trajectory—marked by interdisciplinary engagement, rigorous research, and impactful teaching—positions him as a valuable asset to any academic or policy-oriented institution. By focusing on critical issues such as caste, gender, and institutional exclusion in the labour market, he seeks to bridge the gap between economic theory and social justice. Arjun’s commitment to fostering data-driven policy discourse and equitable labour institutions highlights his potential as a future leader in academia and beyond. As he transitions from doctoral research to full-time academic responsibilities, he remains driven by a vision to contribute meaningfully to the transformation of labour systems and socio-economic policy landscapes.