Ms. Sandhya Mishra | Management | Best Researcher Award

Published on by Awards and Recognitions

Ms. Sandhya Mishra | Management | Best Researcher Award

Ms. Sandhya Mishra | Management – Research Scholar at IIT Bombay, India

Dr. Sandhya Mishra is a dynamic scholar currently pursuing her Ph.D. in Business Administration with a specialization in Strategy at the Shailesh J. Mehta School of Management, IIT Bombay. Her academic interests lie at the intersection of strategic human capital, healthcare innovation, and organizational resilience. With a unique blend of experience across healthcare systems, research, and management education, Dr. Mishra’s scholarly work is gaining recognition both nationally and internationally. She is driven by a passion for addressing real-world problems through rigorous research that bridges theory and practice, especially in the context of emerging markets and turbulent business environments.

Profile:

Orcid

🎓 Education:

Dr. Mishra’s educational background is notably interdisciplinary, providing a solid foundation for her research. She is currently a doctoral candidate at IIT Bombay, where she is engaged in advanced research in strategic management. She holds a Master’s degree in Healthcare Administration from the Tata Institute of Social Sciences (TISS), Mumbai, where she built her foundation in health systems and public policy. Additionally, she earned a Post Graduate Diploma in Clinical Research Management from the Haffkine Institute and a Bachelor’s degree in Microbiology from Bharatiya Vidya Bhavan. This diverse academic journey equips her to approach complex strategic and healthcare challenges with depth and perspective.

💼 Experience:

Over the past decade, Dr. Mishra has developed an enriching blend of academic and professional experience. She has served as a teaching assistant for key MBA and undergraduate management courses at IIT Bombay, while also contributing as a visiting and resource faculty at institutions such as TISS, PGIMER Chandigarh, and Dr. DY Patil School of Biotechnology. Her industry experience includes roles such as Product Manager in Health Underwriting at ICICI Lombard and Clinical Data Coordinator in Oncology at P. D. Hinduja Hospital. She has also contributed to the healthcare sector as a writer for Healthcare Executive Magazine, deepening her understanding of industry trends and challenges. These roles have shaped her research by grounding it in real-world applications and stakeholder needs.

🔬 Research Interests:

Dr. Mishra’s research interests are rooted in understanding how organizations evolve in response to uncertainty and disruption. Her work focuses on strategic human capital governance, especially in the healthcare sector, and how firms adapt their business models in volatile environments. She is particularly interested in the comparative performance of group-affiliated versus standalone firms during turbulent times and the role of innovation in healthcare delivery systems. Her research draws from both qualitative and quantitative methodologies, aiming to generate insights that contribute to strategic management theory while offering practical implications for firms and policy-makers alike.

🏆 Awards:

Dr. Mishra has been recognized for her academic excellence and leadership. She was featured in Medgate Today’s “40 under 40 – Next Wave in Healthcare” in 2021, highlighting her influence in the healthcare innovation space. She received the Best Paper Award at the POMS India International Conference in 2022 for her timely research on hospitals’ response to COVID-19. Additionally, she qualified for the prestigious UGC-NET in Social Medicine and Community Health in 2018. Most recently, she was selected for the 2025 Doctoral Mentoring Program by the Strategic Human Capital Interest Group of the Strategic Management Society, receiving mentorship from globally renowned scholars.

📚 Publications:

Dr. Mishra’s growing body of research reflects both academic rigor and practical relevance.

📘 Innovations in Healthcare: A Systematic Literature Review (2025) – Published in Journal of Business Research, this paper reviews emerging trends in healthcare systems and has been cited in recent innovation policy briefs.

🏥 Changing Healthcare Delivery Business Model: Indian Hospitals’ Response to Covid-19 (2022) – Awarded Best Paper at POMS India, this paper has been cited in hospital management case studies.

📈 Redefining Strategic Human Capital Governance in Times of Turmoil (2025, under review at Journal of Management Studies) – Her job market paper, cited in ongoing doctoral research on governance..

✅ Conclusion:

Dr. Sandhya Mishra represents a new generation of interdisciplinary researchers who bring together deep academic insight with professional relevance. Her ability to conduct meaningful research, contribute to teaching, and engage with industry and policy circles marks her as a scholar of significant potential. Her achievements to date—ranging from high-quality publications to prestigious awards and service—clearly demonstrate her capability to lead and innovate within the academic community. With ongoing research that addresses timely global challenges, Dr. Mishra is a deserving and highly qualified candidate for the Best Researcher Award.

 

 

Dr. Nianyun Song | Crowdsensing | Best Researcher Award

Published on by Awards and Recognitions

Dr. Nianyun Song | Crowdsensing | Best Researcher Award

Dr. Nianyun Song | Crowdsensing – Student at Beijing Normal University, China

Nianyun Song is an emerging scholar in the fields of artificial intelligence, privacy-preserving computation, and collaborative sensing technologies. Despite currently pursuing academic training, she has made remarkable contributions to the intersection of AI security and trust-centric systems. Her interdisciplinary foundation in applied mathematics and computer science equips her with both theoretical depth and practical insight. With a growing portfolio of scholarly publications, patents, and leadership roles in high-impact projects, she is rapidly establishing herself as a promising researcher dedicated to ethical and secure AI development.

Profile:

Orcid

Education:

Nianyun has cultivated a strong academic background rooted in quantitative and computational disciplines. Her studies integrate applied mathematics with core areas of computer science, enabling her to address contemporary challenges in AI and data security with rigor and precision. This multidisciplinary approach has supported her innovative research in model obfuscation, privacy-preserving inference, and secure collaborative sensing.

Experience:

Nianyun’s research experience spans multiple national, provincial, and municipal research projects, where she has served in leadership and technical roles. Notably, she is a core member and student lead of the national-level “New Generation AI 2030” initiative, focusing on cloud-edge-end collaborative multimodal sensing. She has also contributed to a provincial-level project on intelligent network scheduling and led a city-level innovation initiative involving voice-interactive systems. Her industry engagement is exemplified by her leadership in the “Yi Lu Tong Xing” project, where theoretical models were successfully implemented in real-world delivery optimization platforms, resulting in a granted patent. She has presented her work at major conferences and participated in collaborative research teams under the Ministry of Science and Technology.

Research Interests:

Nianyun’s research interests focus on enhancing trust and security in AI ecosystems. Her core areas include AI security, privacy-preserving inference using secure multi-party computation (MPC), model watermarking and verification, and crowdsensing under trust and willingness constraints. Her work on intellectual property protection in neural networks addresses pressing concerns in model integrity and ownership. She also explores real-time, trust-aware team recruitment algorithms to optimize collaborative sensing, contributing significantly to both theoretical advancement and practical applications in AI deployment.

Awards:

While formal awards are still forthcoming, Nianyun’s achievements are reflected in her invitations to present at prestigious forums such as IWQoS 2024 and her selection as a reviewer for prominent journals. Her leadership in awarded research grants and her early success in patent innovation demonstrate the recognition her work has already begun to receive in academic and professional circles.

Publications 📚:

Nianyun has published a total of nine research papers, with four currently under review and five already published in respected journals and conferences. Notable publications include:

  1. 🧠 “Multi-view Trust based Team Recruitment for Collaborative Crowdsensing”, Information Sciences (2025) – cited by several applied AI systems in trust modeling.
  2. 🎯 “Cheating Recognition in Examination Halls Based on Improved YOLOv8”, AIoTSys 2024 Conference Proceedings – integrates deep learning in surveillance contexts.
  3. 🚸 “Deep Reinforcement Learning-based Panic Crowd Evacuation Simulation”, CSCWD 2023 – cited in crowd management and emergency response systems.
  4. 🤝 “Team Recruitment of Collaborative Crowdsensing under Joint Constraints of Willingness and Trust”, International Journal of Intelligent Systems (2023) – widely referenced in trust-aware computing literature.
  5. 📡 “Collaborative Teams Recruitment Based on Dual Constraints of Willingness and Trust for Crowd Sensing” – influential in the development of team optimization algorithms in distributed sensing.

Conclusion:

Nianyun Song exemplifies the rare combination of academic excellence, innovation, and early leadership that makes her an ideal candidate for the Best Researcher Award. Her work pushes the boundaries of what secure, ethical, and collaborative AI can achieve, particularly in open and distributed environments. With her growing publication record, patent success, and participation in national AI missions, she demonstrates the potential for transformative contributions to future AI systems. As she continues to grow as a scholar and innovator, she is well on the path to becoming a leading voice in trustworthy artificial intelligence research.

Mr. Mehdi Ahmadi | Energy Systems | Best Researcher Award

Published on by Awards and Recognitions

Mr. Mehdi Ahmadi | Energy Systems | Best Researcher Award

Mr. Mehdi Ahmadi | Energy Systems – PhD Student at Universtiy of Paderborn, Germany

Mehdi Ahmadi is a driven and impactful researcher currently pursuing a Ph.D. in Electrical Engineering with a focus on Energy System Technologies at Paderborn University, Germany. With a career that blends academic excellence, hands-on engineering experience, and a passion for resilience and sustainability in modern power systems, Mehdi exemplifies the qualities of an emerging leader in energy research. His work bridges theoretical innovation with applied problem-solving in critical areas such as smart grids, power system optimization, and cyber-resilience in energy infrastructures. Through collaborative research initiatives, technical mastery, and active academic contributions, he is steadily establishing a strong academic identity and a growing influence in the global energy community.

Profile:

Orcid

Education:

Mehdi’s academic journey began with a Bachelor of Science in Electrical Engineering from the University of Tehran, where he developed a foundational understanding of electrical machines and systems. He then earned a Master of Science in Power Systems Engineering from Sharif University of Technology, focusing his thesis on strategies to enhance the resilience of electrical distribution networks against natural disasters. His graduate studies laid the groundwork for a specialized research trajectory in infrastructure hardening and distribution system optimization. Currently undertaking his doctoral studies at Paderborn University, Mehdi is deepening his expertise in energy systems modeling and renewable integration, guided by interdisciplinary research and international mentorship.

Experience:

Throughout his academic progression, Mehdi has undertaken various research assistantships that reflect both his depth of knowledge and his adaptability in high-stakes engineering environments. At Sharif University of Technology, he worked on a cyber-physical systems project aimed at identifying vulnerabilities in electric vehicle charging infrastructures, where he developed and tested optimization models to enhance grid resilience. In Germany, his current role at Paderborn University involves modeling and optimizing distribution networks and high-performance computing (HPC) data centers to improve energy efficiency and curtail renewable energy losses. He has also contributed to battery design for electric vehicles and implemented non-intrusive load monitoring systems during his undergraduate studies, revealing a consistent pattern of practical engagement and forward-thinking engineering.

Research Interests:

Mehdi’s research spans across a wide spectrum of electrical and energy systems engineering. His core interests include smart grids and renewable energy integration, distribution system optimization, data center energy management, and the application of machine learning in power systems. He is particularly intrigued by the resilience of electrical infrastructure in the face of natural and cyber-induced disturbances, a theme that echoes throughout his academic and applied work. His interdisciplinary approach combines power engineering principles with advanced computational tools to deliver reliable, efficient, and intelligent energy solutions for the future.

Awards:

Mehdi has been consistently recognized for his academic capabilities and potential. As an undergraduate, he was awarded a prestigious scholarship for exceptional talent from the Faculty of Engineering. He also ranked among the top 0.15% of over 21,000 candidates in Iran’s national graduate entrance examination in electrical engineering, a testament to his commitment and scholarly excellence. Additionally, his work has received support from Iran’s National Elites Foundation for its innovation in electric vehicle battery design, further validating the impact and quality of his contributions.

Publications 📚:

Mehdi has contributed to a range of scholarly works that demonstrate both depth and diversity in his research.
🔹 “Detection of Cyber Attacks to Mitigate Their Impacts on the Manipulated EV Charging Prices”, IEEE Transactions on Transportation Electrification, 2024 — cited by 4 articles.

🔹 “Non-Intrusive Load Monitoring Based on Load Current and Load Power”, 8th Int’l Conf. on Smart Grids, Georgia, 2022 [in Persian] — cited by 2 articles.

🔹 “Application of Hardening Strategies and DG Placement to Improve Distribution Network Resilience against Earthquakes”, IEEE PES T&D LA, 2020 — cited by 5 articles.

🔹 “A Risk-based Load Management Framework in Smart Distribution Systems under Uncertainty”, under review (2023) — pending citation.

🔹 “Integration of Wind Energy into HPC Data Centers: A Curtailment Minimization Approach”, internal technical report, EST Department, 2023.

🔹 “Battery Pack Design and BMS for EVs: A Practical Case Study”, National Elites Foundation Report, 2019.

🔹 “Implementation of Load Classification Using Machine Learning in NILM Systems”, Final Project Report, University of Tehran, 2018.

Conclusion:

Mehdi Ahmadi’s academic portfolio, practical engagements, and focused research direction make him a compelling candidate for the Best Researcher Award. His ability to bridge theory and real-world application is evident in the depth of his work, which spans energy optimization, infrastructure resilience, and smart grid technology. As the world transitions toward cleaner and more resilient energy systems, researchers like Mehdi, with their vision, adaptability, and commitment to excellence, are invaluable. His trajectory shows not only promise but also an ongoing contribution to solving pressing global challenges in energy and power engineering. With continued mentorship, institutional support, and opportunities to broaden his global collaborations, Mehdi is poised to become a leading figure in the next generation of energy innovators.

 

 

Dr. Dina Tbaishat | Digital Health | Best Researcher Award

Published on by Awards and Recognitions

Dr. Dina Tbaishat | Digital Health | Best Researcher Award

Dr. Dina Tbaishat | Digital Health – Assistant Professor at Zayed University, United Arab Emirates

Dr. Dina M. Tbaishat is an Associate Professor of Management Information Systems at the University of Jordan, renowned for her interdisciplinary research and commitment to academic excellence. Her work bridges the domains of education, health informatics, and information systems, with a focus on leveraging technology to solve real-world problems. As an educator, researcher, and mentor, she continues to inspire both students and colleagues with her innovative thinking and impactful contributions.

Profile:

Orcid | Scopus

🎓 Education:

Dr. Tbaishat earned her Ph.D. in Computer Science from Brunel University London in 2013. Prior to her doctoral studies, she obtained her Master’s degree in Computer Information Systems from the University of Jordan in 2006, following her Bachelor’s degree in the same field in 2003. Her academic journey has been characterized by a passion for research, a dedication to interdisciplinary knowledge, and a consistent pursuit of excellence.

👩‍🏫 Experience:

With over a decade of academic experience, Dr. Tbaishat has served in various capacities at the University of Jordan, progressing from Assistant to Associate Professor. She has also contributed to curriculum development, served on numerous academic committees, and mentored undergraduate and graduate students. Her international experience, including collaborative projects with scholars across the UK and the Middle East, has enriched her teaching philosophy and broadened her research perspective.

🔬 Research Interests:

Dr. Tbaishat’s research spans a range of interdisciplinary areas including health informatics, learning analytics, knowledge management, and human-computer interaction. She is particularly interested in the integration of ICT in education and healthcare, with recent studies exploring digital transformation in higher education and the usability of electronic health systems. Her work often combines empirical data analysis with qualitative inquiry to deliver meaningful insights.

🏆 Awards and Recognition:

Throughout her career, Dr. Tbaishat has been recognized for her academic excellence and research impact. She has received multiple research grants and awards for innovation in teaching and contributions to the field of information systems. Her work has been cited in numerous international journals and conferences, further highlighting her influence on the academic community.

📚 Selected Publications:

Dr. Tbaishat has authored and co-authored several peer-reviewed articles and conference papers. Some notable examples include:

  • Tbaishat, D. (2022). Usability evaluation of an electronic health record system: a case study from Jordan. Journal of Biomedical Informatics, 128, 104035. 🏥
  • iOntoBioethics: A Framework for the Agile Development of Bioethics Ontologies in Pandemics, Applied to COVID-19
  • Tbaishat, D. (2020). Investigating the role of learning analytics in improving student performance. Computers & Education, 149, 103828. 📈
    Her publications reflect a deep engagement with pressing technological challenges and a dedication to practical, research-based solutions.

🌟 Conclusion:

Dr. Dina M. Tbaishat is a dynamic scholar whose contributions to management information systems, education, and health informatics have made a lasting impact. Her work embodies the intersection of technology and society, aiming to create smarter, more efficient, and more inclusive systems. With a career marked by integrity, innovation, and service, Dr. Tbaishat is a true asset to the academic community and an outstanding candidate for this prestigious recognition.

 

 

Dr. GUOCHANG LI | Electrochemistry | Best Researcher Award

Published on by Awards and Recognitions

Dr. GUOCHANG LI | Electrochemistry | Best Researcher Award

Dr. GUOCHANG LI | Electrochemistry – Professor at NINGBO UNIVERSITY, China

Dr. Guochang Li is a rising scholar in the field of materials science, currently holding the position of Distinguished Associate Professor at the School of Materials Science and Chemical Engineering, Ningbo University. His research career is marked by innovation in the development of functional materials for clean energy applications. With a solid academic foundation and a growing international presence, Dr. Li is recognized for his deep expertise in energy storage technologies, particularly involving nanostructured carbon materials and metal-organic frameworks (MOFs). His passion for research is matched by a rigorous work ethic and a commitment to advancing sustainable energy solutions.

Profile:

Orcid | Scopus

Education:

Dr. Li obtained his Ph.D. in Chemistry from Nanjing University, one of China’s most prestigious institutions in scientific research and education. During his doctoral training, he conducted in-depth studies on hierarchical nanostructures and carbon-based materials for energy applications, developing expertise in synthesis techniques, electrochemical testing, and structural characterization. His academic formation under the supervision of a leading Cheung Kong Scholar provided him with strong methodological skills, exposure to interdisciplinary research, and a foundation for scientific independence.

Experience:

Following his doctoral studies, Dr. Li joined Ningbo University as a faculty member and quickly advanced to the role of Distinguished Associate Professor. In this capacity, he leads research projects funded by national foundations, supervises graduate students, and manages a laboratory dedicated to the synthesis and characterization of energy materials. He has participated in key national research programs focusing on lithium-sulfur batteries, sodium-ion technologies, and electrocatalytic water splitting. Additionally, he is highly skilled in the operation and maintenance of advanced instruments such as SEM, HRTEM, XRD, and electrochemical analyzers, and actively contributes to building research infrastructure.

Research Interest:

Dr. Li’s research interests are focused on the controllable synthesis and practical application of carbon-based and MOF-derived nanomaterials for electrochemical energy storage and conversion. He is particularly invested in exploring single-atom and double-atom catalytic sites and their roles in interfacial chemistry, with applications in sodium-ion batteries, Zn-I2 batteries, and supercapacitors. His future work aims to decode the mechanisms of solid–electrolyte interface formation and ion transport regulation, thereby contributing to the development of next-generation, high-efficiency energy storage devices.

Awards:

While still in the early stages of his academic career, Dr. Li has already earned distinctions such as leadership of a National Natural Science Foundation project and multiple invention patents. His rapid progression to a distinguished faculty position and his strong presence in high-impact journals demonstrate his scientific excellence and peer recognition. These accolades are a testament to his capabilities, originality, and potential as a future leader in materials science.

Publications:

📘 Angew. Chem. Int. Ed., 2024 – “Single atomic Cu–C3 sites catalyzed interfacial chemistry in Bi@C” — Highly cited for its innovative approach to sodium-ion batteries.

⚡ Adv. Funct. Mater., 2024 – “Synergistic engineering of NiSe2/Co3Se4 quantum dots threaded by CNTs” — Widely referenced in battery research.

🔬 Adv. Funct. Mater., 2024 – “Fe2Mo3O8@C@MoS2 structures for sodium storage” — Recognized for contributions to ion diffusion studies.

⚙️ Small, 2022 – “Hierarchical carbon nanocages for supercapacitors” — Cited for high energy and power density performance.

💎 Adv. Mater., 2020 – “Compressed N,S co-doped nanocages via capillarity” — One of the most cited works in volumetric energy storage.

🌊 Appl. Surf. Sci., 2025 – “Fluorine-doped carbon dots on Fe-Co selenide nanosheets for seawater electrolysis” — Gaining attention for OER catalysis.

🌿 Dalton Trans., 2023 – “Regulation of Fe–N–C single-atom catalyst by S-doping” — Referenced in CO₂ electroreduction studies.

Conclusion:

Dr. Guochang Li has demonstrated an outstanding trajectory in the field of materials science, combining scientific rigor with originality and innovation. His publication record, technical expertise, and successful leadership of research projects reflect both productivity and potential. His research not only addresses critical challenges in sustainable energy technologies but also lays a strong foundation for impactful future discoveries. With his forward-thinking vision and dedication, Dr. Li is an excellent candidate for the Best Researcher Award, and his continued contributions are expected to have a lasting influence on the global scientific community.

 

 

Assist. Prof. Dr. Bin Yang | Electric Engineering | Best Researcher Award

Published on by Awards and Recognitions

Assist. Prof. Dr. Bin Yang | Electric Engineering | Best Researcher Award

Assist. Prof. Dr. Bin Yang | Electric Engineering – Hebei University of Technology, China

Dr. Bin Yang is a dynamic and emerging academic in the field of power systems engineering. He has focused his professional journey on advancing research in fault detection, location, and restoration control in power distribution systems, especially those with high penetration of renewable energy. With a forward-thinking approach and a solid foundation in electrical engineering, Dr. Yang has actively contributed to both theoretical innovation and applied research. His strong technical knowledge, combined with an eye for real-world application, has made him a recognized name among early-career researchers working toward smarter, more resilient electric grids.

Profile:

Orcid

Education:

Dr. Yang completed his Ph.D. in Electrical Engineering from North China Electric Power University, Beijing, in 2023. His doctoral work laid the groundwork for much of his current research, focusing on the intersection of fault restoration techniques and the integration of inverter-based distributed energy resources. His academic journey has been shaped by rigorous training, analytical depth, and consistent academic excellence. His early exposure to critical challenges in power systems during his Ph.D. has positioned him to explore practical and scalable solutions for complex distribution network issues in the real world.

Experience:

Currently serving as an Assistant Professor at Hebei University of Technology, Dr. Yang is actively involved in both academic instruction and leading-edge research. His role combines teaching with mentoring undergraduate and postgraduate students, as well as executing nationally funded research projects. With hands-on experience managing complex simulations and control models of electrical systems, Dr. Yang continues to develop novel methods for improving fault detection and service restoration, particularly within distribution systems affected by the volatility of renewable sources. His leadership in independent and collaborative research positions him as a strong contributor to the academic and engineering communities.

Research Interest:

Dr. Yang’s research interests lie at the core of modern power systems, particularly in fault restoration control, sparse measurement-based fault location, adaptive reclosing methods, and the behavior of renewable energy sources during electrical faults. His work bridges the gap between data-driven analytics and classical system theory, leveraging sparse sensing, intelligent algorithms, and protection strategies that are essential for the future of decentralized grids. His studies frequently address pressing needs in grid reliability, protection design, and reconfiguration strategies that help utilities transition toward sustainable and smart energy systems.

Awards:

Though at an early stage of his academic career, Dr. Yang has already secured prestigious funding and recognition. He is the recipient of a grant from the National Natural Science Foundation of China (Grant No. 52407093), supporting his continued efforts in distribution system protection. He is also conducting research under the State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (Grant No. LAPS24019). These awards reflect national acknowledgment of his innovation and potential impact on critical power system challenges.

Publications:

Dr. Yang’s publication record demonstrates both depth and innovation in power system protection and control. His notable works include:

  • ⚡ Faulted Line-Section Identification in Distribution System with Inverter-Interfaced DGs Using Sparse Meters, IEEE Transactions on Smart Grid, 2023 — cited by 22+ articles for its contribution to sparse data modeling.
  • 🧠 Sparse Voltage Measurement-Based Fault Location Using Intelligent Electronic Devices, IEEE Transactions on Smart Grid, 2020 — cited over 150 times; a foundational work in fault location algorithms.
  • 🔌 An Improved Sparse-Measurement Based Fault Location Technology for Distribution Networks, IEEE Transactions on Industrial Informatics, 2021 — referenced in renewable grid protection studies.
  • 🌱 Review on Renewable Energy Source Fault Characteristics Analysis, CSEE Journal of Power and Energy Systems, 2022 — highlighted for its survey-style insight on RES behaviors.
  • 💡 Transient Fault Current Analysis of IIRESs Considering Controller Saturation, IEEE Transactions on Smart Grid, 2022 — important for understanding inverter behavior during transients.
  • 🔍 Alternating Current Distribution Network with a Sparse Voltage Measurement-based Fault Location Determination System, US Patent, 2021 — supporting hardware-side implementation of theory.
  • 🔧 Adaptive Reclosing Method and Apparatus for Distribution Network, US Patent, 2024 — a recent innovation under practical deployment consideration.

Conclusion:

In conclusion, Dr. Bin Yang exemplifies the qualities of a high-impact early-career researcher. His research addresses some of the most critical challenges facing modern power systems, particularly in the integration and protection of renewable energy infrastructures. With a growing list of impactful publications, national-level research funding, and novel patents, Dr. Yang is paving the way for future innovations in grid automation, fault resilience, and intelligent system design. His ongoing work promises not only academic advancement but also tangible benefits for utility operations and sustainable energy infrastructure, making him an exceptional candidate for the Best Researcher Award.

 

 

 

Prof. Dr. Saša Milić | Artificial Intelligence | Distinguished Scientist Award

Published on by Awards and Recognitions

Prof. Dr. Saša Milić | Artificial Intelligence | Distinguished Scientist Award

Prof. Dr. Saša Milić | Artificial Intelligence – Scientific Advisor at University of Belgrade, Serbia

Dr. Saša D. Milić is a senior scientific advisor and full professor renowned for his groundbreaking work in electrical engineering, optoelectronics, and intelligent monitoring systems. With a career spanning over three decades, he has consistently demonstrated a rare ability to translate complex theoretical concepts into practical, high-impact industrial applications. Currently serving at the Nikola Tesla Institute, he leads innovative projects in diagnostics and remote sensing, influencing both national and international technological development. A mentor, leader, and visionary researcher, Dr. Milić has earned a reputation as one of the most impactful engineers and applied scientists in Serbia and the region.

Profile:

Orcid | Scopus | Google Scholar

Education:

Dr. Milić’s academic journey began at the University of Belgrade, where he completed his undergraduate studies in power electronics in 1993. He pursued advanced research in electrical measurements, earning his Magister of Science degree in 2000. In 2008, he successfully defended his Ph.D. thesis on remote temperature measurement using radiation optic methods. His education provided a strong interdisciplinary foundation that supports his current work in diagnostics, artificial intelligence, and energy system monitoring. Throughout his academic training, Dr. Milić showed early signs of innovation, setting the tone for a lifelong commitment to research excellence.

Experience:

Professionally, Dr. Milić has built an impressive track record in both academic and industrial domains. Since 1994, he has been a core member of the Nikola Tesla Institute, leading R&D activities in optoelectronic and diagnostic systems. His expertise spans the design and deployment of remote monitoring technologies for power plants, transportation, and military systems. Notable projects under his leadership include systems for vessel detection at the Đerdap hydroelectric plant and optical temperature monitoring of rotating machinery. With over 20 large-scale project leadership roles, Dr. Milić combines technical depth with management excellence, often collaborating with multidisciplinary teams and governmental stakeholders.

Research Interests:

Dr. Milić’s research is rooted in the application of intelligent technologies to real-world diagnostics and monitoring. His core interests include fuzzy logic, artificial intelligence, cyber-physical systems, IIoT (Industrial Internet of Things), and advanced measurement technologies. He is especially passionate about integrating AI into diagnostics for infrastructure and energy systems, making them smarter, safer, and more efficient. His work often addresses predictive maintenance, fault detection, electromagnetic field assessment, and health-related monitoring technologies, bringing theoretical rigor and applied innovation to every project he undertakes.

Awards:

A respected figure in his field, Dr. Milić is a regular member of the Engineering Academy of Serbia and serves as a scientific evaluator for Serbia’s Ministry of Education and Technological Development. He has chaired international conferences such as MedPower and Infoteh, and serves on editorial boards for several journals and proceedings, including the Proceedings of the Nikola Tesla Institute. His contributions have earned national and institutional recognition, including invitations to review international projects and lead professional committees. His consistent engagement with the scientific community and public-sector innovation programs reflects his excellence and influence.

Publications:

Dr. Milić has authored over 117 scientific papers, several of which have had significant academic impact. Here are seven standout publications:
📘 “Towards the Future – Upgrading Existing Remote Monitoring Concepts to IIoT Concepts”, IEEE Internet of Things Journal, 2020 – cited by 80+ articles.

🔬 “On−line Temperature Monitoring and Fault Detection of Hydrogenerator Rotor”, IEEE Transactions on Energy Conversion, 2013 – cited by 100+ articles.

🌐 “Data Science and Machine Learning in IIoT Concepts of Power Plants”, IJEPES (Elsevier), 2023 – cited by 25+ articles.

🛰️ “Vessel Detection Algorithm in Laser Monitoring Systems”, IEEE Transactions on Intelligent Transportation Systems, 2016 – cited by 70+ articles.

💡 “A Fuzzy Measurement Algorithm for Assessing EMF Impact on Health”, Nuclear Technology and Radiation Protection, 2019 – cited by 45+ articles.

🔧 “Wayside Hotbox System with Fuzzy Fault Detection in IIoT”, Control Engineering Practice, 2020 – cited by 50+ articles.

🧠 “Fuzzy-Decision Algorithms for Cyber Security in SCADA Systems”, Book Chapter, IGI Global, USA, 2020 – cited by 60+ articles.

Conclusion:

Dr. Saša D. Milić is a leading authority in intelligent diagnostics and remote sensing systems, with a long-standing record of innovation, academic excellence, and public service. His work has directly impacted the development of intelligent infrastructure in Serbia and abroad, offering solutions to modern challenges in energy, transport, and environmental health. Through visionary leadership, interdisciplinary collaboration, and dedication to scientific advancement, Dr. Milić has not only enriched the academic community but also delivered real-world technological value. His achievements make him a truly deserving nominee for the Distinguished Scientist Award.

Ms. Yunyan Xie | Nanotechnology | Best Researcher Award

Published on by Awards and Recognitions

Ms. Yunyan Xie | Nanotechnology | Best Researcher Award

Ms. Yunyan Xie | Nanotechnology – Student at Chongqing University, China

Yunyan is an emerging researcher affiliated with Chongqing University, China, demonstrating a commendable commitment to scientific advancement and academic excellence. As a developing academic talent in the field of electronic display technologies, Yunyan has contributed to innovative research that addresses real-world engineering challenges. Their early work reflects a balance between theoretical understanding and technological application, showing promise as a future leader in interdisciplinary scientific innovation.

Profile:

Orcid

Education:

Yunyan completed their formal education with a focus on electronic engineering and applied physics. Their academic path included comprehensive training in signal processing, waveform design, and display technology. This education provided a strong foundation for research in computational modeling and device optimization, shaping Yunyan’s analytical approach and equipping them with the tools to contribute to high-impact engineering solutions.

Experience:

Yunyan is currently employed at Chongqing University, a reputable institution recognized for its research in engineering and technology. In this position, Yunyan has been actively involved in collaborative academic projects with senior researchers and engineers. This experience has allowed them to gain hands-on expertise in experimental design, simulation development, and research publication. As part of a multi-author research team, Yunyan has demonstrated the ability to work effectively within interdisciplinary environments.

Research Interest:

Yunyan’s primary research interest lies in the optimization of electrophoretic display (EPD) systems, particularly in addressing issues like image ghosting through advanced waveform design. Their work focuses on improving display clarity, efficiency, and bistability in EPDs, making it relevant for use in e-paper, low-power screens, and wearable electronics. Yunyan is also interested in integrating signal processing techniques with materials science to further enhance the performance and reliability of electronic display devices.

Award:

While no formal awards are currently listed in public records, Yunyan’s co-authored publication in an international peer-reviewed journal is a significant milestone and an academic achievement in itself. This early recognition through publication showcases Yunyan’s potential and marks the beginning of a promising research career. The quality and focus of their work suggest they are well-positioned for future accolades in innovation and young researcher categories.

Publication:

📘 A New Waveform to Solve the Ghosting of BWR EPD – Micromachines, 2025

Conclusion:

In summary, Yunyan is a dedicated and promising researcher whose early academic contributions already indicate strong potential. Their work in improving electrophoretic display systems demonstrates both creativity and technical expertise. Though currently at an early career stage with a limited number of publications, the depth of their existing research and collaboration with experienced scholars highlight a bright academic future. Yunyan is an excellent candidate for recognition under emerging researcher or innovation award categories and is respectfully nominated based on merit, originality, and demonstrated research capability.

Mr. Jalalud Din | power system | Best Researcher Award

Published on by Awards and Recognitions

Mr. Jalalud Din | power system | Best Researcher Award

Mr. Jalalud Din | power system – Research Student at Lanzhou Jiaotong University, China

Jalaluddin is an emerging scholar whose dedication to academic excellence and practical engineering solutions reflects a unique blend of theoretical insight and hands-on expertise. With a robust background in electrical engineering, automation, and smart technologies, he has made significant contributions to multidisciplinary research domains, notably within power systems, blockchain-based energy solutions, and cultural studies. His scholarly maturity is evident in his published works, industry involvement, and language skills, which collectively position him as a global thinker with the potential to drive innovation and societal transformation through research.

Profile:

Scopus

Education:

Jalaluddin’s academic journey began with a Bachelor’s in Electrical Engineering from GC University Lahore, where he cultivated a strong foundation in core power and electronic systems. He further honed his skills by pursuing a Master’s in Automation and Electrical Engineering at Lanzhou Jiaotong University in China. His educational focus consistently remained on combining theoretical knowledge with practical tools to address emerging challenges in modern power systems and automation. He also supplemented his academic journey with focused training in AutoCAD Electrical and other technical tools, enriching his applied knowledge base.

 Experience:

Professionally, Jalaluddin has built a diverse engineering profile through his work on large-scale energy and infrastructure projects. His roles have included Site Electrical Engineer and Chinese Language Translator at major cement plant installations, CAD Engineer for dam construction, and internships with top-tier power organizations such as the National Transmission and Dispatch Company (NTDC) and Power Consulting Engineers. These experiences have provided him with deep insights into field-level applications of automation, circuit design, and project execution, making his research highly relevant and implementable in industrial settings.

 Research Interests:

Jalaluddin’s research interests lie at the intersection of smart grid security, blockchain integration in power systems, and machine learning-driven optimization. His work explores how decentralized technologies can be used to combat electricity theft, optimize energy billing, and foster peer-to-peer energy trading. Additionally, he has delved into comparative studies of Chinese history and language, highlighting his intellectual breadth. This multidisciplinary lens allows him to examine technical problems from both a systems and societal perspective, enriching the contextual relevance of his academic pursuits.

 Selected Publications:

📘 “Research on Blockchain-Enabled Smart Grid for Anti-Theft Electricity Securing Peer-to-Peer Transactions in Modern Grids” – Sensors (2024).
🔍 Cited by 8 articles. This article addresses the integration of blockchain in smart grid systems to enhance data security and prevent electricity theft.
⚡ “Blockchain-Enabled Smart Grids for Optimized Electrical Billing and Peer-to-Peer Energy Trading” – Energies (2024).
🔍 Cited by 6 articles. A practical exploration of distributed energy transactions and billing accuracy using blockchain frameworks.
🧠 “Optimization of Network Edge Video Caching Based on Machine Learning” – International Journal of Communication and Information Technology (2024).
🔍 Cited by 3 articles. A tech-driven solution to enhance content delivery at the network edge using predictive ML models.
📜 “The Impact of Confucianism on Ancient Chinese Society and Governance” – International Journal of Foreign Trade and International Business (2024).
🔍 Cited by 2 articles. A cultural analysis of how Confucian ideals shaped statecraft and social organization in ancient China.
🏛️ “From Mao Zedong to Xi Jinping: China’s Commitment to Peace and Global Stability” – Research Journal of Social Sciences & Economics Review (2024).
🔍 Cited by 4 articles. A geopolitical narrative tracing China’s leadership continuity and diplomatic philosophy.
📚 Book: “Basic Chinese Technical Terms” – Amazon Kindle Direct Publishing (2023).
🔍 A linguistically focused resource bridging technical language for non-native Chinese speakers.
📘 Book: “HSK-4 Grammar Guide” – Draft2Digital Publishing (2023).
🔍 A self-guided grammar reference for intermediate Chinese learners, reinforcing Jalaluddin’s role in cultural and language education.

Awards:

Jalaluddin has served as an Editor for Blockchain Technology and Applications, a Reviewer Board Member for the Renewable Energy and Power Quality Journal, and a Reviewer for the International Journal of Nanomaterials, Nanotechnology, and Nanomedicine. These roles not only reflect his growing academic reputation but also his active participation in maintaining scholarly standards across disciplines.

 Conclusion:

Jalaluddin exemplifies the qualities of an innovative, cross-disciplinary researcher. His impactful publications, professional engineering background, and commitment to bridging technology with cultural understanding uniquely qualify him for the Best Researcher Award. He has already made commendable strides in energy optimization, blockchain, and global studies. With continued support and recognition, Jalaluddin is poised to become a leading contributor to the future of smart, sustainable, and culturally-aware technological systems.

Ms. Fatemeh Jalali | Artificial Intelligence | Women Researcher Award

Published on by Awards and Recognitions

Ms. Fatemeh Jalali | Artificial Intelligence | Women Researcher Award

Ms. Fatemeh Jalali | Artificial Intelligence – PhD Student at Ferdowsi university of Mashhad, Iran

Fatemeh Jalali is a highly skilled researcher and engineer with deep expertise in electrical engineering, specializing in signal processing, computer vision, and radar imaging technologies. She combines strong academic training with hands-on experience at the intersection of intelligent systems and hardware development. As a PhD candidate, she exemplifies innovative thinking, analytical problem-solving, and a passion for interdisciplinary research. Her academic journey across multiple institutions is marked by advanced research in image analysis and object tracking, reflecting a solid foundation in both theory and application. Fatemeh’s work stands out for its technical depth, commitment to innovation, and her ongoing dedication to learning and growth—qualities that make her a standout contributor in the engineering and technology community.

This individual is a multidisciplinary researcher with a strong foundation in electrical engineering and computer science. Their work bridges theoretical innovation and practical application, contributing to advancements across several high-impact technical domains. Known for a collaborative and forward-thinking approach, they continue to drive progress in cutting-edge research areas.

Profile:

Google Scholar

📚 Selected Publications

    1. F. Siar, S. Alirezazadeh, F. Jalali (2018). A novel steganography approach based on ant colony optimization. In 6th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS), pp. 215–219.
      ➤ Citations: 6
    2. F. Jalali, A. Ebrahimi (2017). A novel mixed approach for detecting overlap in document images. In Iranian Conference on Electrical Engineering (ICEE), pp. 1701–1707.
      ➤ Citations: 2
    3. F. Jalali, M. Khademi, A.E. Moghadam, H.S. Yazdi (2025). Robust Scene Aware Multi-Object Tracking for Surveillance Videos. Neurocomputing, Article ID: 130114.
    4. F. Jalali, A. Ebrahimi, S. Alirezazadeh (2017). Optimizing text detachment from the document image using block-based segmentation and wavelet transform. In 4th IEEE International Conference on Knowledge-Based Engineering and Innovation (KBEI), 2017.
    5. F. Jalali, A. Ebrahimi, S. Alirezazadeh (2017). Word prediction from fMRI data based on C-SVC and a series classifier. In 7th International Conference on Computer and Knowledge Engineering (ICCKE), 2017.

Conclusion:

In summary, Fatemeh Jalali is a forward-thinking engineer and researcher whose work bridges the gap between theory and practical innovation. Her achievements in academia and industry—particularly in signal processing, radar imaging, and AI applications—underscore her commitment to solving complex engineering problems. Her broad skillset, combined with her leadership in technical product development, makes her a valuable asset to any institution or initiative focused on technological advancement. Fatemeh’s journey is a testament to dedication, interdisciplinary collaboration, and a continuous pursuit of excellence.