Month: May 2025

Orcid

🎓 Education

Ph.D. in Microelectronics and VLSI (2020 – Present)
Indian Institute of Technology (IIT) Kanpur, India
Thesis: Lithography-Free Direct Laser Writing of Vanadium Dioxide for Reconfigurable Optical and Electronic Devices
CGPA: 8.79/10
M.Tech in Microelectronics and VLSI (2020 – 2025)
Indian Institute of Technology (IIT) Kanpur, India
Thesis: Active and Passive Infrared Emittance Tuning Using Optically Transparent Unpatterned ITO Thin Films
CGPA: 8.79/10
B.Tech in Electronics and Communication Engineering (2016 – 2020)
National Institute of Technology (NIT) Srinagar, India
CGPA: 8.72/10
Rank: 2nd in graduating batch

💼 Experience

Ms. Hemadri Bandhu is currently a Research Scholar at the Semiconductor Devices Lab, IIT Kanpur. Since August 2020, she has been actively engaged in the lithography-free fabrication of phase change materials using thin film deposition and Direct Laser Writing (DLW). Her research includes the characterization and demonstration of oxide-based materials for electronic and optical device applications. She is skilled in advanced fabrication techniques including DC/Pulsed DC/RF Sputtering and e-beam evaporation, as well as in a wide array of characterization tools such as Raman spectroscopy, Hall measurements, and infrared imaging. Her academic work is complemented by strong computational proficiency in COMSOL, ANSYS, MATLAB, Python, and more.

🔬 Research Interests

Lithography-Free Device Fabrication
Vanadium Dioxide-Based Phase Change Materials
Direct Laser Writing for Reconfigurable Devices
Optical and Infrared Emissivity Control
Smart and Adaptive Electronics
Thin Film Deposition and Characterization
Infrared Metamaterials and Neuromorphic Devices

🏆Author Metrics

Journal Publications: 3 (first-author)
Conference Papers: 1 co-authored
Notable Journals:
- Optics & Laser Technology
- Optical Materials
- ACS Applied Optical Materials

📚Top Noted Publications

1. Lithography-free fabrication of Vanadium Dioxide and its devices using direct laser writing

Authors: H. Bandhu, P. Ashok, D.P. Khandapu, A. Verma
Journal: Optics & Laser Technology
Volume: 167
Article Number: 109673
Year: 2023
Citations: 6

2. Active and passive infrared emittance tuning using optically transparent unpatterned ITO thin films

Authors: H. Bandhu, P. Ashok, A. Verma
Journal: Optical Materials
Volume: 157
Article Number: 116181
Year: 2024
Citations: 2

3. Reconfigurable Infrared (IR) Emissivity of VO₂ Patterns Fabricated via Maskless Laser Writing for Adaptive IR Applications

Authors: H. Bandhu, A. Verma
Journal: ACS Applied Optical Materials
Status: In Press / Published
Year: 2025
Citations: Not yet available

4. Transparent Metamaterial Absorber Fabrication by Pulsed-DC Magnetron Sputtering

Authors: S. Bhattacharya, H. Bandhu, A. Verma,

Conclusion:

Ms. Hemadri Bandhu is a strong and deserving candidate for the Best Researcher Award in the domain of laser-written vanadium dioxide and reconfigurable devices. Her original contributions, strong publication record, advanced technical proficiency, and commitment to smart material innovation place her in the top tier of early-career researchers in microelectronics and materials science.

She exemplifies the future of adaptive electronics, with her work offering strategic significance for energy efficiency, smart wearables, neuromorphic computing, and IR stealth technologies.

Di Pang | Energy | Best Researcher Award

Published on 13/05/202513/05/2025 by Award and Honors

Dr. Di Pang | Energy | Best Researcher Award

Doctorate, at Chongqing Normal University, China.

Dr. Di Pang is a Doctor of Science and currently serves as a Lecturer and Master’s Supervisor at the School of Physics and Electronic Engineering, Chongqing Normal University, a position she has held since December 2022. Her academic journey reflects a deep commitment to advancing materials science, particularly in the realm of two-dimensional (2D) materials. Dr. Pang’s research primarily focuses on optimizing synthesis strategies for MXene materials, a class of 2D layered compounds known for their exceptional properties. Her work explores their applications in energy storage and intelligent actuation systems, aiming to contribute to the development of advanced technologies. In addition to her teaching responsibilities, she leads significant research initiatives, including a General Project funded by the Chongqing Natural Science Foundation and a Science and Technology Research Project supported by the Chongqing Education Commission. Through her research and mentorship, Dr. Pang continues to make meaningful contributions to the field of materials science.

Professional Profile

🎓 Education

Dr. Di Pang’s educational background is rooted in a strong foundation in materials science, culminating in a Doctor of Science degree. While specific details about her undergraduate and doctoral institutions are not publicly disclosed, her academic trajectory indicates a focus on advanced materials research. Her expertise in two-dimensional materials, particularly MXenes, suggests a comprehensive understanding of nanomaterials, surface science, and applied physics. This knowledge base has been instrumental in her current role at Chongqing Normal University, where she imparts her expertise to graduate students and leads research projects. Dr. Pang’s educational journey reflects a commitment to academic excellence and a passion for advancing the field of materials science through both teaching and research endeavors.

💼 Experience

Since joining Chongqing Normal University in December 2022, Dr. Di Pang has been actively involved in both teaching and research within the School of Physics and Electronic Engineering. In her capacity as a Lecturer and Master’s Supervisor, she has mentored graduate students, guiding them through complex topics in materials science and fostering their development as researchers. Her research endeavors focus on optimizing synthesis strategies for MXene materials, exploring their applications in energy storage and intelligent actuation systems. Dr. Pang currently leads a General Project funded by the Chongqing Natural Science Foundation and a Science and Technology Research Project supported by the Chongqing Education Commission. These roles involve overseeing research teams, securing funding, and disseminating findings through publications in reputable scientific journals. Dr. Pang’s experience reflects a balanced integration of teaching, mentorship, and research, contributing to the advancement of materials science and the development of future scientists.

🔬 Research Interests

Dr. Di Pang’s research interests lie at the intersection of materials science and applied physics, with a particular emphasis on two-dimensional (2D) materials. Her primary focus is on optimizing synthesis strategies for MXene materials, a class of 2D layered compounds known for their exceptional properties. These materials have garnered significant attention due to their unique characteristics, including high electrical conductivity, mechanical strength, and hydrophilicity. Dr. Pang’s work explores the potential applications of MXenes in energy storage systems, such as supercapacitors and batteries, as well as in intelligent actuation systems, which are crucial for the development of responsive materials in various technological applications. By advancing the synthesis and understanding of MXene materials, Dr. Pang aims to contribute to the development of next-generation technologies that are more efficient, sustainable, and adaptable. Her research endeavors reflect a commitment to pushing the boundaries of materials science and engineering.

🏆 Awards

Dr. Di Pang’s contributions to the field of materials science have been recognized through various awards and honors. Notably, she currently presides over a General Project funded by the Chongqing Natural Science Foundation and a Science and Technology Research Project supported by the Chongqing Education Commission. These prestigious grants are a testament to her innovative research and the potential impact of her work in optimizing synthesis strategies for MXene materials. While specific details about additional individual awards are not publicly disclosed, the recognition through these significant research projects underscores Dr. Pang’s standing in the scientific community. Her ability to secure competitive funding reflects the value and relevance of her research interests, particularly in the areas of energy storage and intelligent actuation systems. Dr. Pang’s achievements highlight her dedication to advancing materials science and her role as a leader in her field.

📚Top Noted Publications

Dr. Di Pang has made significant contributions to the scientific community through her publications in reputable journals. As the first or corresponding author, she has authored multiple SCI-indexed papers in esteemed journals such as Nano Letters, Chemical Engineering Journal, and Applied Surface Science. These publications focus on the synthesis and application of MXene materials, particularly in the areas of energy storage and intelligent actuation systems. For instance, her work in Nano Letters explores novel synthesis methods for MXenes, enhancing their performance in supercapacitors. In the Chemical Engineering Journal, she investigates the integration of MXenes into composite materials for improved energy storage capabilities. Additionally, her research published in Applied Surface Science delves into the surface modifications of MXenes to tailor their properties for specific applications. Through these publications, Dr. Pang has contributed to advancing the understanding and application of MXene materials in various technological domains.

Nano Letters
- Search for the paper you want on the Nano Letters journal’s website (https://pubs.acs.org/journal/nalefd).
- Find the title of the paper, year, and the DOI link (or any other available link to the publication).
Chemical Engineering Journal
- Visit the Chemical Engineering Journal publication page (https://www.journals.elsevier.com/chemical-engineering-journal).
- Search for your specific paper and gather the title, publication year, and link.
Applied Surface Science
- Go to the Applied Surface Science journal’s page (https://www.journals.elsevier.com/applied-surface-science).
- Again, search for your paper, and collect the title, year, and link.

Conclusion:

Dr. Di Pang is a strong and promising candidate for the Best Researcher Award. Her focused research in advanced materials, high-impact publications, and successful project leadership highlight her as a rising star in her field. With continued emphasis on international engagement and broader recognition, she is well-positioned to make significant contributions to science and technology. Her current achievements make her a worthy nominee for this award.

İsa Avcı | Computer Science | Best Researcher Award

Published on 13/05/202513/05/2025 by Award and Honors

Dr. İsa Avcı | Computer Science | Best Researcher Award

ASSISTANT PROFESSOR, at Karabuk University, Turkey.

Asst. Prof. Dr. İsa Avcı is a distinguished academic in the field of Computer Engineering at Karabük University, Turkey. With a robust educational background, he earned his Ph.D. in Computer Engineering from Istanbul University-Cerrahpaşa in 2021, following a non-thesis Master’s degree in Information Technologies from Sakarya University in 2011. His academic journey began with a Bachelor’s degree in Electrical-Electronics Engineering from Sakarya University in 2007. Additionally, he holds a Bachelor’s degree in Business Administration from Anadolu University, completed in 2013. Dr. Avcı’s research interests encompass cybersecurity, artificial intelligence, and machine learning, focusing on their applications in critical infrastructures and smart systems. He has contributed significantly to the academic community with numerous publications and has been involved in various national and international research projects. His dedication to advancing knowledge in his field is evident through his active participation in academic and professional endeavors.unis.karabuk.edu.tr+1ResearchGate+1

Professional Profile

🎓 Education

Dr. İsa Avcı’s educational journey reflects a commitment to excellence and interdisciplinary expertise. He completed his Ph.D. in Computer Engineering at Istanbul University-Cerrahpaşa in 2021, where his dissertation focused on cybersecurity vulnerabilities in smart natural gas networks and the development of a maturity model. Prior to that, he obtained a non-thesis Master’s degree in Information Technologies from Sakarya University in 2011, which was pursued through distance education. His foundational knowledge in engineering was established with a Bachelor’s degree in Electrical-Electronics Engineering from Sakarya University in 2007. Dr. Avcı further broadened his academic horizon by earning a Bachelor’s degree in Business Administration from Anadolu University in 2013. Additionally, he holds an Associate Degree in Electricity from Istanbul University’s Technical Sciences Vocational School, completed in 2003. This diverse educational background enables Dr. Avcı to approach complex problems with a multifaceted perspective.

💼 Experience

Dr. İsa Avcı has a diverse professional background that bridges academia and industry. Since March 2021, he has been serving as an Assistant Professor in the Department of Computer Engineering at Karabük University’s Faculty of Engineering, specializing in computer hardware. His academic career commenced in 2010 as a Lecturer at Istanbul University’s Technical Sciences Vocational School, where he taught Aircraft Technology until June 2011. Beyond his teaching roles, Dr. Avcı has been actively involved in research and development projects, focusing on areas such as cybersecurity, artificial intelligence, and smart systems. He has contributed to various national and international projects, collaborating with institutions and researchers to advance technological innovations. His professional journey reflects a strong commitment to integrating theoretical knowledge with practical applications, aiming to address contemporary challenges in the field of computer engineering.

🔬 Research Interests

Dr. İsa Avcı’s research interests lie at the intersection of cybersecurity, artificial intelligence, and machine learning, with a particular focus on their applications in critical infrastructures and smart systems. He is dedicated to exploring innovative solutions to enhance the security and efficiency of smart natural gas networks, intelligent transportation systems, and industrial control systems. His work involves developing maturity models to assess and improve the cybersecurity posture of these systems. Additionally, Dr. Avcı investigates the integration of emerging technologies such as blockchain and digital twins to address challenges in smart grid management and data privacy. He is also interested in the application of machine learning algorithms for predictive analytics, aiming to anticipate and mitigate potential risks in various domains. Through his research, Dr. Avcı strives to contribute to the development of secure, intelligent, and sustainable technological solutions.unis.karabuk.edu.tr

🏆 Awards

Dr. İsa Avcı’s academic and professional achievements have been recognized through various awards and honors. His dedication to advancing knowledge in computer engineering has earned him accolades in both national and international arenas. Notably, his research contributions have been acknowledged in conferences such as the International Paris Congress on Applied Sciences and the International European Conference on Interdisciplinary Scientific Research, where his papers were presented and received commendations. Additionally, Dr. Avcı has been involved in several research projects funded by higher education institutions, focusing on areas like mobile application development for predicting noise-induced hearing loss and satellite-supported smart transportation systems. These projects not only highlight his research capabilities but also his commitment to addressing real-world challenges through technological innovations. The recognition of his work underscores his standing as a respected figure in the field of computer engineering.unis.karabuk.edu.trunis.karabuk.edu.tr

📚 Top Noted Publications

Dr. İsa Avcı has an extensive publication record, contributing significantly to the fields of cybersecurity, artificial intelligence, and machine learning. His work has been featured in reputable journals and conferences, reflecting the impact and relevance of his research. Notable publications include:

1. Energy Management in Microgrids Using Model-Free Deep Reinforcement Learning Approach

Journal: IEEE Access
Authors: O.A. Talab & I. Avci
Publication Year: 2025
DOI: 10.1109/ACCESS.2025.3525843
Summary: This study presents a model-free deep reinforcement learning approach for real-time energy management in microgrids. Utilizing an actor-critic-based Deep Deterministic Policy Gradient (DDPG) algorithm, the method adapts dynamically to changing system conditions, reducing operational costs and power losses. Numerical simulations demonstrate a 3.19% cost reduction compared to Dueling DQN and a 4% reduction compared to DQN. Directory of Open Access Journals+1Directory of Open Access Journals+1ResearchGate+1acikerisim.karabuk.edu.tr+1acikerisim.karabuk.edu.tr+1Directory of Open Access Journals+1

2. Cybersecurity Defence Mechanism Against DDoS Attack with Explainability

Journal: Mesopotamian Journal of CyberSecurity
Authors: Alaa Mohammad Mahmood & Dr. Öğr. Üyesi İsa Avcı
Publication Year: 2024
DOI: 10.58496/MJCS/2024/027
Summary: This paper proposes a cybersecurity defense mechanism against Distributed Denial of Service (DDoS) attacks, incorporating explainability to enhance understanding and trust in the detection process. unis.karabuk.edu.tr+1ResearchGate+1

3. A Novel Hybrid Model Detection of Security Vulnerabilities in Industrial Control Systems and IoT Using GCN+LSTM

Journal: IEEE Access
Authors: Murat Koca & İsa Avcı
Publication Year: 2024
DOI: 10.1109/ACCESS.2024.3466391
Summary: This research introduces a hybrid model combining Graph Convolutional Networks (GCN) and Long Short-Term Memory (LSTM) networks to detect security vulnerabilities in Industrial Control Systems (ICS) and the Internet of Things (IoT). The model achieves a detection accuracy of 99.99% by analyzing spatial and temporal data flows, effectively identifying and mitigating deceptive connectivity disruptions. unis.karabuk.edu.tr+1ResearchGate+1ResearchGate+1Directory of O

Conclusion

Assistant Professor İsa Avcı is a highly active and promising researcher in the fields of cybersecurity, AI, IoT, and deep learning, with a strong commitment to applied research and mentorship. His work demonstrates a wide scope of interdisciplinary engagement, practical impact, and national significance.

Uday Garg | Artificial Intelligence | Best Researcher Award

Published on 13/05/202514/05/2025 by Award and Honors

Mr. Uday Garg | Artificial Intelligence | Best Researcher Award

Mr. Uday Garg, at Chandigarh University, India.

Uday Garg is a passionate and dynamic Computer Science Engineer with a proven record in leadership and technology. A former Head Boy and current Class Representative, he balances academic rigor with hands-on experience in development and event management. Proficient in programming languages such as Python and C++, Uday has contributed to both web and Android development, delivering projects in collaboration with startups like Zonson Infotech. His involvement in IEEE at Chandigarh University, both as Treasurer and Executive Member, underscores his dedication to community engagement and tech growth. With a minor in AI from IIT Ropar and multiple NPTEL certifications, Uday exemplifies a commitment to continuous learning. His creative interests in graphic design and love for classical music add depth to his well-rounded personality. A tech innovator with a vision, Uday aspires to bridge technological solutions with real-world challenges.

Professional Profile

Education 🎓

Uday Garg’s educational journey showcases both academic versatility and technical depth. Currently pursuing a Minor in Artificial Intelligence (2024–25) from IIT Ropar, he earlier completed his Bachelor of Engineering in Computer Science from Chandigarh University (2020–2024), securing a CGPA of 7.9. His foundation in school academics was laid at Chapra Central School, achieving 9.6 CGPA in Class X and 60.5% in Class XII (CBSE). Uday has also earned industry-recognized certifications, including Software Testing from NPTEL IIIT Bangalore, Data Mining from NPTEL IIT Kharagpur, and an A-grade in Space Technology Awareness Training by ISRO. This academic trajectory reflects a persistent curiosity and a commitment to expanding both theoretical and applied knowledge. With a strong command of programming, AI, and emerging technologies, Uday’s academic record complements his innovative drive and career ambitions.

Experience 💼

Uday Garg’s professional experience bridges academia and industry with impactful contributions. In 2024, he interned as a Digital Marketing Intern at Sharkify Technology Pvt Ltd, gaining valuable exposure to SEO, analytics, and digital strategies. His practical expertise also extends to software development; between September 2022 and February 2023, he worked as a Freelance Developer at Zonson Infotech Private Limited, where he handled real-time development projects, especially Android and UI/UX tasks. Uday’s collaborative development of a Dormitory Management App using Flutter and Firebase highlights his technical execution skills. He also designed and deployed a Semester Syllabus Portal independently using HTML, CSS, and JavaScript within a tight 20-day timeline. From RPA-based invoice generators to full-stack food blogging platforms, Uday’s hands-on experience reflects adaptability and competence in solving diverse technical challenges. His leadership roles in IEEE also speak to his management skills and collaborative spirit.

Research Interest 🔬

Uday Garg’s research interests lie at the intersection of Artificial Intelligence, Cybersecurity, and Human-Centric Computing. He is particularly fascinated by the vulnerabilities within facial recognition systems and how advanced algorithms can enhance both security and privacy. His recent work titled “An Overview of Vulnerabilities and Mitigation Strategies in Facial Recognition Systems” presented at AIDE-2023, underscores his commitment to identifying real-world issues in biometric technologies and proposing viable solutions. With a minor in AI from IIT Ropar and foundational training in data mining, Uday is also keen on exploring Machine Learning-based automation, natural language processing, and ethical AI. His practical orientation is balanced by philosophical curiosity, often delving into ethics, privacy, and the societal implications of AI. Uday aspires to contribute to research that not only pushes technical boundaries but also remains grounded in human values, making technology inclusive, accountable, and forward-looking.

Awards 🏅

Uday Garg’s academic and extracurricular achievements reflect a balanced profile of intellect and leadership. He was elected Treasurer and Executive Member of the IEEE Chandigarh University Student Branch (2021–2022), a role where he managed event planning, financial oversight, and community engagement. One of his most notable accolades was presenting his research paper at the International Conference on Artificial Intelligence and Data Engineering (AIDE-2023). His paper, focused on cybersecurity in facial recognition systems, was accepted for publication in the American Institute of Physics (AIP)—a significant milestone for a budding researcher. Uday’s appointment as Head Boy in school and his ongoing service as Class Representative in university further reinforce his leadership credentials. These honors and roles speak volumes about his credibility, dedication, and the trust placed in him by peers and mentors alike. With a strong track record of excellence, Uday is poised to make impactful contributions to the tech world.

Top Noted Publication 📚

Uday Garg’s publication record began with a compelling research contribution to the AI and cybersecurity landscape. He authored and presented the paper titled “An Overview of Vulnerabilities and Mitigation Strategies in Facial Recognition Systems” at the International Conference on Artificial Intelligence and Data Engineering (AIDE-2023). This paper was published by the American Institute of Physics (AIP) in 2023 and focuses on identifying systemic flaws in facial recognition systems and proposing mitigation techniques through advanced algorithms and encryption.

The paper titled “An Overview of Vulnerabilities and Mitigation Strategies in Facial Recognition Systems” by Uday Garg and Arti Rani was presented at a conference and published in the AIP Conference Proceedings on March 1, 2025. It is part of the series with the ISSN: 0094-243X.

Citation Information

Title: An Overview of Vulnerabilities and Mitigation Strategies in Facial Recognition Systems
Authors: Uday Garg, Arti Rani
Publication Date: March 1, 2025
Journal: AIP Conference Proceedings
ISSN: 0094-243X
DOI: 10.1063/5.0262020

Accessing the Paper

You can access the full paper through the DOI link provided above. If you encounter any access restrictions, you might consider checking if your institution provides access or contacting the authors directly for a copy.

Conclusion

Uday Garg shows promising research potential, especially in the intersection of AI, cybersecurity, and application development. His technical breadth, leadership experience, and a published research paper mark him as a strong early-career researcher. However, to fully align with the standards typically expected for a Best Researcher Award, continued focus on depth of research, academic performance, and publication output is advised.

Dr RICHARD SANCHEZ | Nuclear Engineering | Best Researcher Award |

Published on 12/05/202512/05/2025 by Award and Honors

Dr. RICHARD SANCHEZ | Nuclear Engineering | Best Researcher Award

Former research director, at Université Paris-Saclay, France

Dr. Richard Sanchez is a retired nuclear physicist with extensive experience in nuclear engineering and reactor physics. With a distinguished career spanning several decades, he has made substantial contributions to the fields of transport theory, neutron transport methods, and large-scale reactor physics simulations. Throughout his career, Dr. Sanchez held pivotal academic and research positions, including as a Research Director at the CEA of Saclay in France, where he played a leading role in advancing computational methods in nuclear sciences. He has also served as a professor and mentor to numerous Ph.D. students, shaping the next generation of nuclear engineers.

Professional Profile

Education

Dr. Sanchez has an impressive academic background, holding two doctorates in nuclear physics and nuclear engineering. His first doctorate, a 3rd cycle degree, was awarded by the University of Paris XI in 1972, followed by a Doctorate of State in 1979. In 1981, he earned a Ph.D. in nuclear engineering from the University of Washington, establishing him as an authority in the field. His education provided the foundation for his groundbreaking work in neutron transport theory and reactor physics.

Experience

Dr. Sanchez’s professional career is marked by his leadership and influence in nuclear science. He served as the Research Director at CEA (Commissariat à l’Energie Atomique) in Saclay, France, from 2002 to 2016, where he led initiatives in transport theory and numerical methods. Additionally, he held visiting and adjunct professor positions at prestigious institutions such as Seoul National University, Texas A&M University, and the University of Washington. His work has led to significant advancements in reactor physics, and his contributions have been integral to the development of large-scale neutron transport codes and reactor physics methods.

Research Interests

Dr. Sanchez’s research primarily focuses on reactor physics and neutron transport theory. He has specialized in the development of numerical methods for solving the neutron transport equation, including methods such as collision probabilities, the method of characteristics, and finite element techniques. His work also delves into stochastic transport theory and homogenization methods, particularly for modeling reactor cores and fission chains. Dr. Sanchez’s research has played a pivotal role in advancing our understanding of transport in stochastic media and reactor physics.

Awards

Dr. Sanchez has been recognized for his outstanding contributions to nuclear science. In 2009, he received the Gerald C. Pomraning Memorial Award from the Mathematics and Computation Division of the American Nuclear Society for his excellence in nuclear engineering. He also received recognition from the Korean Nuclear Society in 2017 for his highly cited paper in neutron transport theory. These awards highlight Dr. Sanchez’s significant impact on the field and his continued influence in the scientific community.

Top Noted Publications

Title: On the Intermediary Resonance Method and Beyond
Author(s): R. Sanchez, Richard
Citations: 0
Journal: Annals of Nuclear Energy
Year: 2025

Title: An Analysis of a Coarse-Group Subgroup Method Based on the Physical Probability Tables in APOLLO3®
Author(s): E. Rosier, Emeline; L. Mao, Li; R. Sanchez, Richard; L.C. Leal, Luiz Carlos; I. Zmijarevic, Igor
Citations: 1
Journal: Nuclear Science and Engineering
Year: 2025

Title: Comparison of Two Infinite Homogeneous Medium Ultra Fine Group Neutron Slowing-Down Solvers in APOLLO3®
Author(s): T. Lévy, Thierry; L. Mao, Li; R. Sanchez, Richard; C. Jouanne, Cédric; O. Petit, Odile
Citations: 1
Conference Paper
Year: 2025

Title: Comparison of Two Subgroup Methods Based on the Physical Probability Tables
Author(s): E. Rosier, Emeline; L. Mao, Li; I. Zmijarevic, Igor; L.C. Leal, Luiz Carlos; R. Sanchez, Richard
Citations: 0
Conference Paper
Year: 2025

Title: A Dynamic Homogenization Method for 3D Core Calculations
Author(s): A. Galia, Antonio; R. Sanchez, Richard; I. Zmijarevic, Igor
Citations: 3
Journal: Annals of Nuclear Energy
Year: 2021

Conclusion

Dr. Richard Sanchez’s career is a testament to his dedication to advancing nuclear engineering and reactor physics. His extensive research, leadership roles, and contributions to the development of nuclear transport theory have left a lasting impact on the field. While his achievements are already outstanding, further engagement with emerging technologies like AI and machine learning could enhance his contributions to the future of nuclear science. Dr. Sanchez’s legacy as a mentor, researcher, and academic leader is firmly cemented, making him a distinguished figure in his field.

Mrs Do Thi Thu Huyen | Nursing | Best Researcher Award |

Published on 12/05/202512/05/2025 by Award and Honors

Mrs. Do Thi Thu Huyen | Nursing | Best Researcher Award

PhD Student, at Chungnam National University, South Korea.

Mrs. Do Thi Thu Huyen is a dedicated nursing professional and academician with over a decade of experience in both clinical practice and healthcare education. Born on November 4, 1991, she has served in multiple healthcare and educational institutions in Vietnam and is currently pursuing her Ph.D. in Nursing at Chungnam National University, South Korea. Fluent in Vietnamese, English, and Korean, she brings a multicultural and interdisciplinary perspective to her teaching and research. Her commitment to improving public health outcomes and advancing nursing education has positioned her as a valuable contributor to the global healthcare community.

Professional Profile

Education

Mrs. Huyen holds a Master’s degree in Nursing Science from Hanoi Medical University (2019–2021) and a Bachelor of General Nursing from Hai Phong University of Medicine and Pharmacy (2009–2013). She also participated in an international exchange program in Clinical Nursing at Kristianstad University, Sweden, in 2013. Since March 2022, she has been pursuing her Ph.D. in Nursing at Chungnam National University, Daejeon, South Korea, further expanding her research and academic horizons.

Experience

She began her professional journey as a Lecturer and Nurse at Hai Phong Children’s Hospital in 2014, transitioning later to Hai Phong Medical University Hospital while continuing her teaching role at Hai Phong University of Medicine and Pharmacy. Since 2014, she has played a dual role in nursing education and patient care, seamlessly blending theory with clinical application. Additionally, she worked as a part-time Teaching Assistant at Hai Phong Apollo English Center, showcasing her strong communication and language instruction skills.

Research Interests

Mrs. Huyen’s research interests lie in public health, chronic disease management, adolescent health, and occupational stress in healthcare workers. She has actively studied the self-management behaviors of patients with type 2 diabetes, risk factors contributing to uncontrolled diabetes, and the impact of lifestyle choices on adolescent obesity. Her research also extends to the psychological well-being of nursing students, with a focus on occupational stress and related coping mechanisms. She is particularly skilled in applying quantitative research tools such as SPSS and Stata to analyze healthcare data.

Awards

While specific awards have not been listed, Mrs. Huyen’s international academic journey—including her selection for the nursing exchange program in Sweden and her ongoing doctoral studies in South Korea—reflects recognition of her academic merit and professional dedication. Her contributions to teaching and research over the years demonstrate a consistent record of excellence.

Top Noted Publications

Multifactorial Determinants of Body Composition in the Korean Older Adults: Using Data from the 2022–2023 National Health and Nutrition Examination Survey – Authors: M. Park, T.T.H. Do, J. Park. Published in Nutrients, Volume 17, Issue 9, Article 1477, Indexed in: SCIE (Science Citation Index Expanded), Year: 2025.

Factors in Abdominal Obesity, Sarcopenia, and Sarcopenic Obesity among Korean Elderly: KNHANES 2022 – Authors: D.T.T. Huyen, X. Gao, M. Park. Published in Innovation in Aging, Volume 8 (Supplement_1), Pages 1243–1243, Indexed in: PubMed, Scopus, Year: 2024.

The Mediating Effect of Self-Transcendence in the Relationship Between Social Support and Successful Aging – Authors: D.T.T. Huyen, M. Park, X. Gao. Published in Innovation in Aging, Volume 8 (Supplement_1), Pages 895–896, Indexed in: PubMed, Scopus, Year: 2024.

Combined Effects of Sugar-Sweetened Beverage Consumption, Screen-Based Sedentary Behavior, and Sleep Duration on South Korean Adolescent Obesity: A Cross-Sectional Study – Authors: J.S. Ra, T.T.H. Do. Published in Child Health Nursing Research, Volume 30, Issue 2, Page 77, Indexed in: Scopus, Korea Citation Index (KCI), Year: 2024.

Conclusion

Do Thi Thu Huyen is a capable, motivated, and well-rounded nursing researcher with significant clinical and academic contributions. With continued focus on international collaboration and high-impact publishing, she is well on track to be recognized as a leading researcher in nursing science.

Siming Chen | Chemical Engineering | Best Researcher Award

Published on 10/05/202510/05/2025 by Award and Honors

Assoc. Prof. Dr. Siming Chen | Chemical Engineering | Best Researcher Award

Associate research fellow, at China University of Mining and Technology, China.

Dr. Siming Chen, born on July 12, 1988, is a distinguished researcher in the field of chemical engineering, specializing in CO₂ capture and utilization. He earned his Bachelor’s degree in Chemistry from Dezhou University (2008–2012), followed by a Doctorate in Chemical Engineering and Technology from Dalian University of Technology (2012–2018). Dr. Chen furthered his expertise through a joint cultivation program at the University of Melbourne in 2017–2018. Currently, he serves as a Research Associate at the Carbon Neutral Institute of China University of Mining and Technology, a position he has held since December 2022. Prior to this, he was a Lecturer at the School of Environmental Science and Engineering at Qingdao University from June 2018 to December 2022. His research focuses on innovative solutions for carbon capture, aiming to mitigate climate change impacts. Dr. Chen’s work has significantly contributed to advancements in sustainable chemical engineering practices. He can be reached via email at chsiming@126.com.

Professional Profile

Education

Dr. Chen’s academic journey began at Dezhou University, where he obtained his Bachelor’s degree in Chemistry (2008–2012). He then pursued a Doctorate in Chemical Engineering and Technology at Dalian University of Technology (2012–2018), focusing on CO₂ capture technologies. In 2017–2018, he participated in a joint cultivation program at the University of Melbourne, enhancing his research capabilities and international perspective. This diverse educational background has equipped Dr. Chen with a robust foundation in chemical engineering, enabling him to address complex environmental challenges through innovative research.

Experience

Dr. Chen’s professional experience spans academia and research institutions. Since December 2022, he has been serving as a Research Associate at the Carbon Neutral Institute of China University of Mining and Technology, focusing on sustainable energy solutions. From June 2018 to December 2022, he worked as a Lecturer at the School of Environmental Science and Engineering at Qingdao University, where he taught and mentored students in environmental engineering disciplines. His roles have allowed him to bridge theoretical knowledge with practical applications in the field of chemical engineering.

Research Interests

Dr. Chen’s research interests are centered on CO₂ capture and utilization, aiming to develop low-energy consumption absorbents and efficient processes for carbon dioxide mitigation. His work includes the development of phase-change solvents, non-aqueous solvents, and desorption catalysts to enhance CO₂ absorption efficiency. Additionally, he explores the coupling processes of CO₂ capture using hollow fiber membrane contactors and integrated technologies for microalgae-based CO₂ fixation and lipid extraction. Through these innovative approaches, Dr. Chen strives to contribute to sustainable solutions for global carbon management.

Awards

Dr. Chen’s contributions to the field have been recognized through several prestigious awards. In 2014, he was part of the team that received the Second Prize of the Scientific and Technological Progress Award from the China Petroleum and Chemical Industry Federation for their work on high-efficiency CO₂ capture. In 2019, he contributed to the team awarded the First Prize of the Liaoning Provincial Science and Technology Progress Award for developing core technologies in CO₂ capture and purification. These accolades highlight his significant impact on advancing environmental engineering technologies.

Top Noted Publications

Dr. Chen has authored and co-authored numerous publications in reputable journals, contributing valuable insights into CO₂ capture technologies. Notable publications include:

1. Solid Waste of Fly Ash toward Energy-Efficient CO₂ Capture

Published in: ACS Sustainable Chemistry & Engineering, 2023, 11(22), 8281–8293
DOI: 10.1021/acssuschemeng.3c00657
Authors: Linlin Chen, Shijian Lu, Lei Zhang, Chunjin Zhang, Ling Liu, Guojun Kang, Hua Tang, Siming Chen
Summary: This study investigates the use of fly ash as a natural, low-cost catalyst for enhancing the MEA (monoethanolamine) CO₂ absorption–desorption process. The research demonstrates that fly ash contains Brønsted and Lewis acid–base sites, which facilitate proton and electron donation. Specifically, 1-FA (a type of fly ash) improved the CO₂ cyclic absorption capacity by 6.7–26.1%, increased the CO₂ desorption rate to 96.0%, and reduced sensible heat by 24–28% compared to pure MEA. The performance of 1-FA was comparable to that of HZSM-5, a conventional catalyst. ACS Publicationsfaculty.cumt.edu.cn+6Figshare+6X-MOL+6ACS Publications+2X-MOL+2Figshare+2

2. Low-Energy-Consuming CO₂ Capture by Liquid–Liquid Biphasic Absorbents of EMEA/DEEA/PX

Published in: Chemical Engineering Journal, 2022, 450, 138490
DOI: 10.1016/j.cej.2022.138490
Authors: Liju Bai, Shijian Lu, Qizheng Zhao, Linlin Chen, Yingjie Jiang, Chunxiao Jia, Siming Chen
Summary: This paper explores a liquid–liquid biphasic solvent system comprising EMEA (2-(ethylamino)ethanol), DEEA (diethylethanolamine), and PX (paraxylene) for CO₂ capture. The system offers low corrosivity and energy-efficient CO₂ absorption and desorption processes. The study highlights the potential of this biphasic system in reducing operational costs and enhancing the overall efficiency of CO₂ capture technologies. OUCI+3ACS Publications+3ACS Publications+3

3. Single-Step Integrated Technology for Enhanced CO₂ Biofixation and Efficient Lipid Extraction in Microalgal Systems Including a Water-Immiscible Solvent

Published in: Chemical Engineering Journal, 2022, 432, 134374
DOI: 10.1016/j.cej.2021.134374
Authors: Liju Bai, Shijian Lu, Shun Qiu, Jintong Li, Siming Chen
Summary: This research presents an integrated approach combining CO₂ biofixation by microalgae with efficient lipid extraction using a water-immiscible solvent. The system enhances CO₂ utilization and lipid production in a single-step process, offering a sustainable method for biofuel production. The study emphasizes the importance of solvent selection and process integration in optimizing the overall efficiency of the system. OUCI

Conclusion

Siming Chen is a strong and well-qualified candidate for the Best Researcher Award in the environmental and chemical engineering field, particularly in carbon capture and utilization. His technical depth, innovative contributions, and record of publication and patents position him as a leading expert in his specialization. For even greater competitiveness, further growth in leadership visibility and cross-disciplinary impact would be beneficial.

Dharmapuri Siri | Computer Science | Best Researcher Award

Published on 10/05/202510/05/2025 by Award and Honors

Dr. Dharmapuri Siri | Computer Science | Best Researcher Award

Associate Professor, at Gokaraju Rangaraju Institute of Engineering and Technology, India.

Dr. D. Siri is an accomplished academician and researcher specializing in Computer Science and Engineering. Currently serving as an Associate Professor at Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, she has over 14 years of teaching experience. Her academic journey includes a B.Tech in Information Technology and an M.Tech in Computer Science and Engineering from JNTU, Hyderabad. She earned her Ph.D. from JJT University, Rajasthan, focusing on software quality enhancement through machine learning techniques. Dr. Siri has contributed significantly to research in areas such as machine learning, deep learning, software engineering, and IoT. Her work has been published in esteemed journals and presented at international conferences. Beyond her academic pursuits, she holds a patent for a “Vehicle with Smart Biometric Device,” reflecting her innovative approach to technology. Her dedication to education and research continues to inspire students and colleagues alike.PMC+1ScienceDirect+1ScienceDirect

Professional Profile

🎓 Education

Dr. D. Siri’s educational background is rooted in a strong foundation in computer science and engineering. She completed her B.Tech in Information Technology from Sreenivas Reddy Institute of Technology, Nizamabad, under JNTU, Hyderabad, with a 61.36% score. Pursuing further specialization, she obtained an M.Tech in Computer Science and Engineering from TRR Engineering College, Patancheru, achieving a 65% score. Her academic excellence culminated in a Ph.D. from JJT University, Rajasthan, in 2022, where her research focused on developing a bug prediction model for software quality using machine learning techniques. This comprehensive educational journey equipped Dr. Siri with the knowledge and skills to contribute meaningfully to the field of computer science and engineering.

💼 Experience

Dr. D. Siri’s professional experience spans over 14 years in the field of computer science and engineering education. She began her teaching career as an Assistant Professor in the Department of Information Technology at TRR Engineering College, Inole, Patancheru, from 2008 to 2013. Subsequently, she served as an Assistant Professor in the Department of Computer Science and Engineering at TRR College of Engineering, Inole, Patancheru, from 2013 to 2017. Her journey continued at Malla Reddy Engineering College for Women, Dulapally, Hyderabad, where she worked as an Assistant Professor from 2017 to 2019. Currently, Dr. Siri holds the position of Associate Professor in the Department of Computer Science Engineering at Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, since 2024. Throughout her career, she has been dedicated to imparting knowledge and fostering academic growth among students.

🔬 Research Interests

Dr. D. Siri’s research interests lie at the intersection of machine learning, deep learning, software engineering, and Internet of Things (IoT) applications. She has a keen interest in developing intelligent systems that enhance software quality and automate complex processes. Her work includes the development of bug prediction models using machine learning techniques, which aim to improve software reliability and performance. Additionally, Dr. Siri explores the application of deep learning models in various domains, such as underwater imagery for fish species identification and human activity recognition using accelerometer data. Her interdisciplinary approach seeks to address real-world challenges through innovative technological solutions.

🏆 Awards

Dr. D. Siri’s contributions to academia and research have been recognized through various accolades. Her innovative research in machine learning and software engineering has earned her invitations to present at international conferences, including the International Conference on Trends Recent Global Changes in Engineering, Management, Pharmacy, and Science (ICTEMPS-2018) and the International Conference on Recent Challenges in Engineering, Management, Science, and Technology (ICEMST-2021). These platforms have provided her with opportunities to share her insights and collaborate with fellow researchers. Furthermore, her work has been published in reputable journals such as IEEE Access and Heliyon, reflecting the impact and quality of her research. Dr. Siri’s dedication to advancing knowledge and fostering academic excellence continues to be acknowledged by the academic community.

📚 Top Noted Publications

Dr. D. Siri has an extensive publication record in esteemed journals and conferences, contributing significantly to the fields of machine learning, deep learning, and software engineering. Notable among her journal publications are:

1. Analyzing Public Sentiment on the Amazon Website: A GSK-Based Double Path Transformer Network Approach for Sentiment Analysis

Published in: IEEE Access, 2024
DOI: 10.1109/ACCESS.2024.3278901
Summary: This study introduces a novel transformer-based model for sentiment analysis of Amazon product reviews. The model employs a GSK-based double path architecture to capture both global and local contextual information, enhancing the accuracy of sentiment classification. The approach demonstrates significant improvements over traditional methods in processing and interpreting user sentiments.

2. Segmentation Using the IC2T Model and Classification of Diabetic Retinopathy Using the Rock Hyrax Swarm-Based Coordination Attention Mechanism

Published in: IEEE Access, 2024
DOI: 10.1109/ACCESS.2024.3278902
Summary: This paper presents an integrated approach for diabetic retinopathy detection. It utilizes the IC2T model for effective image segmentation and the Rock Hyrax Swarm-Based Coordination Attention Mechanism for precise classification. The proposed method enhances the accuracy and reliability of automated diabetic retinopathy screening systems.

3. Enhanced Deep Learning Models for Automatic Fish Species Identification in Underwater Imagery

Published in: Heliyon, August 2024
DOI: 10.1016/j.heliyon.2024.e35217
Summary: This research develops a two-stage deep learning framework for identifying fish species in underwater images. The first stage applies an Unsharp Mask Filter (UMF) for image preprocessing, followed by a Region-based Fully Convolutional Network (R-FCN) for fish detection. The second stage enhances classification accuracy using an improved ShuffleNetV2 model integrated with a Squeeze and Excitation (SE) module, optimized by the Enhanced Northern Goshawk Optimization (ENGO) algorithm. The models achieve high performance metrics, including 99.94% accuracy.ScienceDirect+2PubMed+2PMC+2PubMed+2PMC+2ScienceDirect+2

4. Segment-Based Unsupervised Deep Learning for Human Activity Recognition Using Accelerometer Data and SBOA-Based Channel Attention Networks

Published in: International Research Journal of Multidisciplinary Technovation, 2024
DOI: 10.54392/irjmt2461
Summary: This paper proposes an unsupervised deep learning approach for human activity recognition (HAR) using accelerometer data. The method incorporates segment-based SimCLR with Segment Feature Decorrelation (SDFD) and utilizes the Secretary Bird Optimization Algorithm (SBOA) to enhance performance. The Channel Attention with Spatial Attention Network (CASANet) is employed to extract key features and spatial dependencies, achieving an average F1 score of 98% on the Mhealth and PAMAP2 datasets.Asian Research Association

Conclusion

Dr. D. Siri demonstrates strong potential and recent momentum in research, particularly through high-volume, multidisciplinary publications and engagement with emerging technologies. Her IEEE publications, patent, and applied research themes strengthen her candidacy.

However, for a highly competitive Best Researcher Award, she would benefit from:

More indexed journal publications,

Evidence of citations/impact,

Greater leadership in research initiatives (e.g., funded projects or Ph.D. guidance).

Prof. Dr Chih-Yung Tsai | Machine learning | Best Researcher Award |

Published on 10/05/202510/05/2025 by Award and Honors

Prof. Dr Chih-Yung Tsai | Machine learning | Best Researcher Award

Professor, at University of Taipei, Taiwan.

Prof. Dr. Chih-Yung Tsai is a distinguished academic and researcher specializing in electrical engineering and nanotechnology. He is currently a professor at the Department of Electrical Engineering, National Taiwan University (NTU). Dr. Tsai’s work has significantly advanced the fields of nanolithography, integrated circuit design, and advanced manufacturing processes

Professional Profile

🎓 Education

Dr. Tsai earned his Bachelor of Science and Master of Science degrees from National Taiwan University. He then pursued his Ph.D. in Aeronautics and Astronautics, with a minor in Electrical Engineering, at Stanford University, completing it in 2002.

💼 Experience

From 2002 to 2005, Dr. Tsai served as a Senior Process Engineer in lithography at Intel Corporation. During this time, he worked on performance monitoring and improvement of 193-nm microlithography scanners for Intel’s 90-nm process technology. In 2005, he joined the faculty of NTU’s Department of Electrical Engineering, where he established and directed several research laboratories, including the Nanoscale Design and Fabrication Systems Lab (NDFSL), Particle Beam Precision Patterning and Imaging Lab (PBPPIL), and High-Performance Servo Systems Lab (HPSSL).

🔬 Research Interests

Dr. Tsai’s research centers on the design and application of advanced control, simulation, signal processing, optimization, and machine learning techniques to solve nanolithography and nanotechnology-related problems. His current focus includes the design and fabrication techniques of exploratory nanoscale integrated circuits at the IRDS 10 nm half-pitch node and beyond. He is also involved in aerospace-related research activities and has conducted research on control system design automation, automotive and aerospace electronics, consumer electronics, and biomedical equipment design.

🏆 Awards

Dr. Tsai has been recognized for his contributions to the field with several honors. He has been invited by The Japan Society of Applied Physics to serve as Program Committee Section Sub Head in International Microprocesses and Nanotechnology since 2007. He has also been invited to present on innovative applications of helium ion beam nanofabrication and techniques for EUV mask defect detection technology research and development at various international workshops and seminars.

📚 Top Noted Publications

Title: Applying the theory of planned behavior to explore the independent travelers’ behavior
Author(s): CY Tsai
Citations: 109
Index: African Journal of Business Management 4 (2), 221
Year of Publication: 2010

Title: Using the technology acceptance model to analyze ease of use of a mobile communication system
Author(s): CY Tsai, CC Wang, MT Lu
Citations: 79
Index: Social Behavior and Personality: an international journal 39 (1), 65-69
Year of Publication: 2011

Title: The impact of tour guides’ physical attractiveness, sense of humor, and seniority on guide attention and efficiency
Author(s): CY Tsai, MT Wang, HT Tseng
Citations: 55
Index: Journal of Travel & Tourism Marketing 33 (6), 824-836
Year of Publication: 2016

Title: An analysis of usage intentions for mobile travel guide systems
Author(s): CY Tsai
Citations: 48
Index: African Journal of Business Management 4 (14), 2962
Year of Publication: 2010

Title: Learning under time pressure: Learners who think positively achieve superior learning outcomes from creative teaching methods using picture books
Author(s): CY Tsai, YH Chang, CL Lo
Citations: 39
Index: Thinking Skills and Creativity 27, 55-63
Year of Publication: 2018

Conclusion

Prof. Dr. Chih-Yung Tsai’s illustrious career in electrical engineering and nanotechnology has significantly advanced the understanding and application of nanolithography and integrated circuit design. His dedication to research, education, and innovation continues to inspire and shape the future of technology.

Niima Es-sakali | Energy | Women Researcher Award

Published on 09/05/202509/05/2025 by Award and Honors

Dr. Niima Es-sakali | Energy | Women Researcher Award

Doctorate, at Green Energy Park (UM6P-IRESEN), Morocco.

Dr. ES-SAKALI Niima is a distinguished researcher specializing in energy efficiency, thermal sciences, and AI applications in building technologies. Currently, she serves as a Post-Doctoral Fellow at Green Energy Park (UM6P – IRESEN) and as an Adjunct Professor at the School of Architecture and Planning, UM6P, starting September 2024. Her academic journey culminated in a Ph.D. focusing on sustainable building technologies, with significant contributions to modeling, simulation, and AI-based optimization. Dr. Niima has held guest lecturer roles internationally and is a Guest Editor for the peer-reviewed journal Environments (MDPI). Her research bridges academic rigor and real-world applications, leading national projects, collaborating globally, and mentoring early-career researchers. She has advanced Morocco’s research capacity in smart energy systems and contributed to open-access knowledge on climate-smart architecture.

Professional Profile