Srinithi Jeyachandran | Optimization Techniques | Young Researcher Award

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Dr. Srinithi Jeyachandran | Optimization Techniques | Young Researcher Award

Dr. Srinithi Jeyachandran | Optimization Techniques – Kalasalingam Academy of Research and education | India

Dr. Srinithi Jeyachandran is a dynamic academician and researcher in the field of Chemical Engineering and Ceramic Technology. With a strong foundation in advanced material development, thermochemical processes, and sustainability, she blends academic excellence with hands-on research in solving real-world industrial and environmental challenges. Her passion lies in applying innovative chemical technologies for sustainable energy, clean water systems, and environmental remediation. Currently serving as Assistant Professor and Head-in-Charge at Kalasalingam Academy of Research and Education, Tamil Nadu, she continues to influence the next generation of engineers through innovative teaching and impactful research.

Professional Profile

SCOPUS

GOOGLE SCHOLAR

Education

Dr. Jeyachandran holds a Ph.D. in Chemical Engineering from Anna University, Chennai, where her doctoral research focused on cardanol-derived thermoset hybrid-coated cotton fabrics for oil-water separation. She earned her M.Tech in Ceramic Technology from the prestigious Anna University (AC Tech Campus), exploring the synthesis and characterization of magnetic nano-materials. She began her engineering journey with a B.Tech in Chemical Engineering from Mohamed Sathak College of Engineering and Technology. Her academic career has consistently been marked by excellence, demonstrated through high CGPA scores and a focused research orientation.

Academic and Professional Experience

Dr. Srinithi brings over 6 years and 4 months of dedicated academic experience. She is currently an Assistant Professor and Head-in-Charge at Kalasalingam Academy of Research and Education. She has previously served in multiple reputed institutions such as Veltech High-tech Dr. Rangarajan & Dr. Sakunthala Engineering College and St. Michael College of Engineering and Technology. Her roles span across teaching core chemical engineering subjects, curriculum development, research mentoring, and organizing industrial collaborations. She has coordinated academic events, supervised student projects, conducted workshops, and mentored teams for national-level competitions, including Smart India Hackathon.

Research Interests

Dr. Srinithi’s research spans a wide spectrum of chemical process engineering, nanomaterial synthesis, and green technologies. Her core interests include heat and mass transfer, superhydrophobic surfaces, oil-water separation, bio-diesel production, and heterogeneous catalysis. Her doctoral and master’s research work has contributed to developing efficient materials for environmental separation technologies and fuel processing. She is particularly interested in the development of organic–inorganic hybrid materials, transesterification for biodiesel, and IoT-powered treatment systems, aligning closely with sustainable development goals.

Patents and Innovation

Demonstrating innovation in applied science, Dr. Srinithi holds two patents. One of them outlines an IoT-based solar-powered wastewater treatment system, reflecting her commitment to merging renewable energy with environmental cleanup. The second patent features a radio-controlled valve system for pasteurization, integrated with deep reinforcement learning models—an intersection of AI and chemical engineering. Her work reflects a forward-thinking approach to automation and smart manufacturing processes.

Awards and Recognition

Dr. Srinithi’s dedication to research and academic quality has earned her accolades such as the Young Researcher Award during SRM CDBEST 3.0 and a Reviewer Excellence Award from the Asian Journal of Current Research. These recognitions reflect her ongoing contributions to the scientific and academic community, both as a researcher and a peer-reviewer.

Professional Engagement and Contributions

She is an active member of the Indian Ceramic Society and has contributed significantly to various academic committees and symposiums, including CHEMZONE and CONCERT. Dr. Srinithi has organized and attended multiple Faculty Development Programs (FDPs), workshops, and guest lectures on emerging topics like smart cities, food technology, and safe plant design. She also contributes to MOOC platforms, NPTEL content, and ISO documentation, showing her multifaceted role in institutional development.

Publications

🧪 Layer-by-layer silica and cardanol epoxy modified cotton fabric for oil–water separation – Silicon (2023) 📘 | SCI | IF: 2.8 | Cited in works on durable superhydrophobic textiles.
🌊 Silica-assisted superhydrophobicity using cardanol polybenzoxazine coatings – Silicon (2023) 📘 | SCI | IF: 3.2 | Referenced in oil–water separation and surface engineering research.
⚗️ Experimental & simulation analysis to predict biodiesel yield using heterogeneous catalysts – IJRASET (2023) 🔬 | Scopus | Cited in biodiesel process modeling studies.
🌱 Biodiesel: Review on production techniques and raw material economics – IJSREM (2022) 📚 | Scopus | Quoted in renewable energy and economic feasibility research.
🧲 Synthesis of (Ni, Cu, Zn) ferrite composites by ball milling – Journal of Chemical and Pharmaceutical Sciences (2016) 🔍 | IF: 0.4 | Cited in nanostructured ferrite material analysis.

 

Xinyu Dou | Real-world Case Studies | Best Researcher Award

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Dr. Xinyu Dou | Real-world Case Studies | Best Researcher Award

Dr. Xinyu Dou | Real-world Case Studies – The University of Hong Kong | China


Dr. Xinyu Dou is a dynamic scholar in the field of educational research, specializing in the intersection of dance education, creative thinking, and digital pedagogy. Currently a PhD student at the Faculty of Education, The University of Hong Kong, Dr. Dou is deeply engaged in advancing research that bridges traditional performing arts with contemporary educational technologies. Her work is recognized for its interdisciplinary approach, integrating creativity, AI tools, and media processing technologies to foster innovation in education. Her dedication to both theoretical and applied research in education makes her a rising figure in international academic circles.

Professional Profiles

GOOGLE SCHOLAR

Education

Dr. Dou’s academic journey began with a Bachelor of Fine Arts in Musicology (2015–2019) at Zhengzhou University, where she cultivated a strong foundation in musical and cultural aesthetics. This was followed by a Master of Fine Arts in Choreography (2020–2023), also from Zhengzhou University, where she explored the artistic and cognitive aspects of dance creation. In 2024, she commenced her doctoral studies at The University of Hong Kong, one of Asia’s leading institutions, where she continues to deepen her expertise in educational theory, digital pedagogy, and curriculum studies, with a special focus on arts education.

Experience

Dr. Dou has a balanced portfolio of teaching and research experience. From 2025 to 2026, she served as a part-time lecturer at The University of Hong Kong, co-teaching the postgraduate-level course Project Management for the Master of Library and Information Management program. Her role involved delivering lectures, leading seminars, developing assessment rubrics, grading, and aligning the curriculum with both theoretical frameworks and real-world applications. Additionally, her research roles include contributions to several major funded projects in China, such as studies on value-added music education, ideological-political curriculum integration in the arts, and the impact of digital technology on university-level ideological training. These roles demonstrate her capacity for teamwork, data analysis, and theoretical modeling in complex education environments.

Research Interests

Dr. Dou’s research interests are broad yet interconnected. She focuses on AI in education, particularly its implications for creative pedagogy and student engagement. She also explores digital media processing technology, analyzing how tools such as free-view video and ChatGPT can enhance classroom performance and learning creativity. Her commitment to developing creative thinking and innovative teaching methods, especially in the context of choreography and dance education, positions her work at the cutting edge of interdisciplinary education. Additionally, she has a strong interest in project evaluation, particularly in the higher education context, where she has worked with regression models and other quantitative tools to assess educational effectiveness.

Awards and Recognition

While specific awards are not mentioned in the current record, Dr. Dou has received recognition for her research expertise through peer reviewer roles for multiple high-impact international journals. These include Psychological Reports, Journal of Educational Technology & Society, and Technology, Pedagogy & Education, all of which are indexed in SSCI. These responsibilities highlight her academic credibility and the trust placed in her by the global research community to evaluate scholarly work in her areas of expertise.

Publications

🧠 The linkage cultivation of creative thinking and innovative thinking in dance choreography – Thinking Skills and Creativity (2021), Cited by 54
🕺 Improvisational dance-based psychological training of college students’ dance improvement – Frontiers in Psychology (2021), Cited by 22
🌀 Interactive association of negative creative thinking and malevolent creative thinking – Frontiers in Psychology (2022), Cited by 5
📚 Can free-view media processing technology improve classroom performance? – Technology Pedagogy and Education (2024), Cited by 3
🤖 The aid of ChatGPT to dance education: a theoretical exploration based on TPACK – Research in Dance Education (2024), Cited by 1
🎓 Evaluating the research quality of dance education articles in China: implications for internationalization of dance education in peripheral countries – Research in Dance Education (2025)
🇨🇳🎨 Chinese dance curriculum politics and students’ creativity – Research in Dance Education (2025)

 

Martin Hegen | Human Dose Predictions | Best Researcher Award

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Dr. Martin Hegen | Human Dose Predictions | Best Researcher Award

Pfizer | United States

PUBLICATION PROFILE

Scopus

🧑‍🔬 INTRODUCTION

Dr. Martin Hegen is a highly accomplished Research Fellow at Pfizer, widely respected for his leadership and scientific expertise in immunology and inflammation. With more than 20 years of experience in the pharmaceutical industry, Dr. Hegen has made substantial contributions to drug discovery and development, driving projects from portfolio entry to clinical proof-of-concept. His work bridges rigorous scientific research with strategic leadership, ensuring high-quality results and consistent compliance with regulatory and ethical standards.

🎓 EARLY ACADEMIC PURSUITS

Dr. Hegen began his academic journey in Germany, earning a Ph.D. in Immunology magna cum laude from Johannes Gutenberg-University of Mainz in 1993, after receiving an M.Sc. in Biology in 1988. He then undertook a postdoctoral fellowship at the Dana-Farber Cancer Institute, Harvard Medical School, where he explored critical signaling mechanisms in T cell activation involving CD26 and CD45 isoforms. This foundational research into immune system regulation shaped his scientific perspective and laid the groundwork for a successful career in translational immunology.

🧪 PROFESSIONAL ENDEAVORS

Dr. Hegen’s professional career spans over two decades of increasing responsibility and impact. He joined Wyeth Research in 2001, focusing on inflammatory diseases and advancing several therapeutic antibody programs. Following Pfizer’s acquisition of Wyeth in 2009, Dr. Hegen transitioned into the Inflammation & Immunology Research Unit at Pfizer, where he held several key roles including Senior Principal Scientist, Associate Research Fellow, and currently, Research Fellow. Throughout these positions, he provided scientific and managerial leadership for autoimmune disease models, led project teams, and mentored research scientists, including Ph.D.-level staff. He has directed collaborative programs across international sites and partnered with academic and biotech institutions to accelerate therapeutic innovation.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Hegen’s scientific contributions are focused on autoimmune and inflammatory diseases, such as rheumatoid arthritis, lupus, psoriasis, inflammatory bowel disease, and multiple sclerosis. His expertise includes the use of gene-deficient mice and other advanced preclinical models to validate therapeutic targets. He has led efforts in both biologic and small molecule programs, guiding lead molecule selection and supporting successful clinical trials. His deep understanding of disease pathogenesis and experience with regulatory filings has been vital in bringing investigational drugs like Tofacitinib through the pipeline.

🌍 IMPACT AND INFLUENCE

Throughout his career, Dr. Hegen has left a lasting impact through both scientific contributions and leadership. Under his supervision, multiple scientists have received Individual Performance Awards. His strategic guidance and scientific rigor have influenced key decision-making processes, from target prioritization to portfolio entry and in-licensing evaluations. His work on clinical programs such as Ozoralizumab and other Janus kinase inhibitors has directly shaped Pfizer’s therapeutic portfolio in immunology.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Hegen has a strong publication record and has served on editorial boards for leading journals such as The Journal of Immunology, Inflammation Research, and Journal of Leukocyte Biology. He has contributed peer reviews and editorial oversight for decades, influencing scholarly standards in immunology and inflammation research. His expertise is frequently sought after in reviewing cutting-edge scientific findings, and he has held roles as associate editor and invited chairman at international immunology conferences.

🏆 HONORS & AWARDS

Dr. Hegen’s achievements have been recognized by prestigious organizations. He received a postdoctoral fellowship from the German Research Society and was honored with Wyeth’s “Above and Beyond Award” in 2003. He was selected for elite leadership training programs at Wyeth (Eagles Program) and Pfizer (Cornerstones of Management), highlighting his commitment not only to science but also to cultivating leadership excellence.

🧬 PATENTS

Dr. Hegen is listed as an inventor on multiple patents, emphasizing his role in therapeutic innovation. These include methods for using antibodies against IL-22, anti-M-CSF antibodies for treating inflammatory disorders, and the development of modified single-domain antibody molecules targeting TNF-α. His patents contribute to the intellectual property backbone supporting Pfizer’s clinical development programs.

🔮 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Martin Hegen’s legacy is defined by scientific excellence, impactful leadership, and the successful advancement of multiple therapeutic programs. His work has significantly contributed to the understanding and treatment of complex autoimmune diseases. As an active member of the American College of Rheumatology and American Association of Immunologists, he continues to shape the future of immunology research. Dr. Hegen remains committed to mentoring the next generation of scientists and driving forward innovations that will improve patient care worldwide.

📝 FINAL NOTE

Dr. Martin Hegen represents the highest standard of professionalism, scientific insight, and collaborative leadership in biomedical research. His career reflects a rare combination of deep academic training, pharmaceutical innovation, and strategic execution. As immunology continues to evolve, Dr. Hegen’s enduring influence will be felt in both clinical outcomes and the growing body of scientific knowledge advancing human health.

 📚 TOP NOTES PUBLICATIONS

Cure as a treatment target in rheumatoid arthritis and systemic sclerosis—achievable aim or mission impossible? FOREUM stimulates new industry-academia collaboration

    • Authors: Kenneth F. Baker, J. Spierings, Martin Brom, Stephen Oliver, Richard Veselý

    • Journal: Rheumatology (exact journal not specified, likely from context)

    • Year: (Not explicitly provided, but likely 2023 or 2024)

RORγt inhibition ameliorates IL-23 driven experimental psoriatic arthritis by predominantly modulating γδ-T cells

    • Authors: Céline Mortier, Eric Gracey, Julie Coudenys, Dirk Elewaut, Koen J.T. Venken

    • Journal: Rheumatology

    • Year: 2023

A Novel C-C Chemoattractant Cytokine (Chemokine) Receptor 6 (CCR6) Antagonist (PF-07054894)…
(Truncated title: “…Distinguishes between Homologous Chemokine Receptors, Increases Basal Circulating CCR6⁺ T Cells, and Ameliorates Interleukin-23-Induced Skin Inflammation”)

    • Authors: Wei Li, Kimberly K. Crouse, Jennifer Alley, Michael S. Vincent, Gabriel Berstein

    • Journal: Journal of Pharmacology and Experimental Therapeutics

    • Year: 2023

Studies with neutralizing antibodies suggest CXCL8-mediated neutrophil activation is independent of C-C motif chemokine receptor-like 2 (CCRL2) ligand binding function

    • Authors: Zhenwei Su, Jonathan M. Brooks, Jeffrey W. Pelker, Alfredo Darmanin Sheehan, Joseph J. Brennan

    • Journal: PLoS ONE

    • Year: 2023

Jinpeng Chen | recommendation systems | Best Researcher Award

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Assoc Prof Dr. Jinpeng Chen | recommendation systems | Best Researcher Award

Beijing University of Posts & Telecommunications | China

Publication Profile

Google Scholar

Biography of Assoc Prof Dr. Jinpeng Chen 👨‍💻

🎓 Education & Global Experience

Assoc. Prof. Dr. Jinpeng Chen began his academic journey with a Ph.D. in Computer Science from Beihang University (2011–2016). During his doctoral studies, he expanded his research horizons internationally—spending a year as a Visiting Ph.D. scholar at Aalborg University in Denmark (2014–2015), and also working as a Research Assistant at the University of Sydney in Australia (2013–2014). These global experiences laid the foundation for his collaborative and cross-cultural approach to research. 🌍📘

👨‍🏫 Academic Positions

Dr. Chen currently serves as an Associate Professor at the Beijing University of Posts and Telecommunications (BUPT), a position he has held since December 2018. Prior to that, he was an Assistant Professor at BUPT from 2016 to 2018. Over the years, he has been actively involved in teaching, mentoring graduate students, and leading innovative research projects. 🏫🔬

🔬 Research Interests & Projects

His research primarily focuses on Data Mining, Social Network Analysis, Crowdsourcing-based Data Processing, Machine Learning, and Artificial Intelligence. Dr. Chen has led and contributed to numerous high-impact research projects, including the Beijing Natural Science Foundation (2023–2026) and multiple grants from the National Natural Science Foundation of China. He also participated in the National Key R&D Program of China, contributing to the development of algorithms for user profiling, recommendations, traffic analysis, and intelligent marketing. 📊🤖

🧠 Academic Service & Community Contribution

Dr. Chen is a dedicated member of the global research community. He has served as a reviewer for prestigious journals such as ACM TOIS, TKDD, IEEE TNNLS, IEEE TFS, and TCC, among others. He is also a frequent external reviewer and program committee member for leading conferences like KDD, WWW, DASFAA, IJCAI, and BigData. His expert insights and evaluations have helped maintain the high standards of academic publishing. 📝🌐

🎤 Talks & Presentations

As a recognized thought leader in his field, Dr. Chen has been invited to speak at major academic events. Notable presentations include his talk at the KDD China 2023 Summer School on “Mandari: Multi-Modal Temporal Knowledge Graph-aware Sub-graph Embedding”, and his keynote at ICAIBD 2023 on “Sequential Intention-aware Recommender based on User Interaction Graph”. He has also shared his research at CGCM 2014 and during a special invitation to the School of Information Technologies at the University of Sydney. 🗣️📢

🚀 Impact & Vision

Assoc. Prof. Dr. Jinpeng Chen continues to drive innovation at the intersection of data science and artificial intelligence. His research not only contributes to academic advancement but also influences real-world applications in technology, business, and social platforms. With a passion for AI and a strong foundation in collaborative research, he is shaping the future of intelligent systems, one algorithm at a time. 🌟📈

📚 Top Notes Publications

Title: Automatic tagging by leveraging visual and annotated features in social media

Authors: J. Chen, P. Ying, X. Fu, X. Luo, H. Guan, K. Wei
Journal: IEEE Transactions on Multimedia
Year: 2021

Title: Inferring tag co-occurrence relationship across heterogeneous social networks

Authors: J. Chen, Y. Liu, G. Yang, M. Zou
Journal: Applied Soft Computing
Year: 2018

Title: Sequential intention-aware recommender based on user interaction graph

Authors: J. Chen, Y. Cao, F. Zhang, P. Sun, K. Wei
Journal: Proceedings of the 2022 International Conference on Multimedia Retrieval
Year: 2022

Title: From tie strength to function: Home location estimation in social network

Authors: J. Chen, Y. Liu, M. Zou
Journal: 2014 IEEE Computers, Communications and IT Applications Conference
Year: 2014

Title: FePN: A robust feature purification network to defend against adversarial examples

Authors: D. Cao, K. Wei, Y. Wu, J. Zhang, B. Feng, J. Chen
Journal: Computers & Security
Year: 2023