Assist Prof Dr Jaya Singh Dhas L | Data Science | Best Researcher Award | 1229

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Assist Prof Dr Jaya Singh Dhas L | Data Science | Best Researcher Award

Head of the Department at Scott Christian College (Autonomous),India

Dr. L. Jaya Singh Dhas is the Head of the Department of Computer Science at Scott Christian College (Autonomous), Nagercoil, Tamil Nadu, India. With over two decades of experience in academia, Dr. Dhas is a distinguished researcher and educator, specializing in areas like Artificial Intelligence, Machine Learning, Data Mining, and Cloud Computing. His work combines theoretical research with practical applications, particularly in the fields of clustering techniques, heart disease prediction, and network security. Dr. Dhas has contributed significantly to the academic community through his research publications, conference participation, and various professional development activities.

Profile

Scopus

Education 🎓

  • Ph.D. in Computer Science – Bharathidasan University, Tiruchirappalli (2022), First Class
  • M.Phil. in Computer Science – Alagappa University, Karaikudi (1998), First Class
  • M.C.A. (Master of Computer Applications) – Bharathidasan University, Tiruchirappalli (1996), First Class
  • B.Sc. in Computer Science – Madurai Kamaraj University, Madurai (1991), First Class

Dr. Dhas’ academic qualifications reflect his deep commitment to the field of computer science and his expertise in both foundational and advanced topics within the discipline.

Professional Experience 💼

Dr. Dhas joined Scott Christian College (Autonomous) in 1998, where he has served as the Head of the Department of Computer Science since then. With more than 20 years of teaching and leadership experience, Dr. Dhas has significantly influenced the department’s curriculum and research direction. He is dedicated to fostering academic growth and promoting innovative research among students and faculty.

Research Interests 🔬

Dr. Dhas’ primary research interests lie in Artificial Intelligence, Data Science, Clustering Techniques, Big Data Analytics, and Network Security. He has worked extensively on the following areas:

  • Clustering Techniques: Investigating different clustering algorithms for analyzing temporal relational data.
  • Heart Disease Prediction: Using machine learning techniques for early-stage heart disease prediction.
  • Network Intrusion Detection: Optimizing deep learning approaches for network security.
  • Big Data: Exploring synergetic filtering and neural network techniques for handling large datasets.

Awards & Honors 🏆

Dr. Dhas has received multiple recognitions for his outstanding contributions in research and education, including:

  • Indian Patent (2022) for “Monitoring E-Health Care System Using Artificial Intelligence Techniques”.
  • Member of the Internet Society and International Association of Engineers (IAENG), further reflecting his international recognition in the field.
  • Reviewer for several renowned journals, including International Journal of Information Technology and Decision Making (IJITDM) and Journal of Scientific Research and Reports (JSRR).

Achievements 🌟

  • Successfully published numerous papers in high-impact journals such as Expert Systems With Applications (Elsevier), International Journal of Engineering and Advanced Technology (IJEAT), and Indian Journal of Natural Sciences (IJONS).
  • Served as a reviewer for several prestigious international journals and conferences, contributing to the academic community’s growth.
  • Authored multiple book chapters in edited volumes on topics like data clustering and artificial intelligence, further establishing his expertise.

Upcoming Projects 🚀

  • Dr. Dhas is currently engaged in projects related to AI-driven healthcare systems, particularly focusing on AI in early disease detection.
  • He is also exploring the use of neural networks and big data analytics to tackle contemporary challenges in network security and data privacy.

Publications 📚

  1. “Hybrid Fast Correlation-based Feature Selection with Improved Weighed Particle Swarm Optimization to Predict and Classify Heart Disease at an Early Stage”, Indian Journal of Natural Sciences (IJONS), Vol. 15, Issue 85, August 2024, Pages 76542 – 76550.
  2. “Network Intrusion Detection: An Optimized Deep Learning Approach Using Big Data Analytics”, Expert Systems With Applications, Elsevier, Volume 251, 1 October 2024, 123919.
  3. “Kulczynski Similarity Index Feature Selection based Map Estimated Rocchio Classification for Brain Tumor Disease Diagnosis”, International Journal on Recent and Innovation Trends in Computing and Communication (IJRITCC), December 2023.
  4. “Identification of Clustering Techniques with Temporal Relational Data Points”, International Journal of Interdisciplinary Global Studies (IJIGS), Volume 14, Issue 04, Oct-Dec’ 2020.
  5. “Efficient Synergetic Filtering in Big Dataset using Neural Network Technique”, International Journal of Recent Technology and Engineering (IJRTE), Volume 8, Issue 5, January 2020, Pages 1349 – 1360.

 

 

Dr Maatouk Khoukhi | Bio materials | Best Researcher Award | 1227

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Dr Maatouk Khoukhi | Bio materials | Best Researcher Award

Associate Professor at UAE University,United Arab Emirates

Maatouk Khoukhi is an Associate Professor at the United Arab Emirates University (UAEU), specializing in Machine Intelligence and System Engineering. With over 25 years of experience in teaching and research, he has worked in institutions across seven countries, including Algeria, France, Japan, Australia, Saudi Arabia, Oman, and the UAE. His extensive expertise lies in the areas of energy sustainability, smart buildings, and cities, with a particular focus on renewable energy systems and energy-efficient building technologies. His research has garnered more than 2.5 million USD in funding, and he has published over 100 scholarly papers in high-impact journals.

Profile

Scopus

Orcid

Education

Dr. Khoukhi earned his Ph.D. in Machine Intelligence and System Engineering from Tohoku University, Japan, in 2005. He also holds a BSc in Energy Engineering from the University of Boumerdes, Algeria.

Professional Experience

Dr. Khoukhi currently serves as an Associate Professor at UAEU since 2017. He has held prominent academic roles at Sultan Qaboos University (Oman), King Fahd University of Petroleum and Minerals (Saudi Arabia), and Tohoku University (Japan), among others. He has been a visiting faculty member at the University of Sydney and the University of Sharjah.

Research Interests

Dr. Khoukhi’s research interests encompass:

  • Energy and sustainability 🌍
  • Smart buildings and cities 🏙️
  • Low energy buildings 🏡
  • Sustainable architecture and built environment 🏗️
  • Renewable energy systems 🌞
  • Building energy performance simulation 🧮

He has collaborated with global entities like Samsung, NEDO, and various universities, focusing on innovations such as bio-based materials for building insulation and energy-efficient systems for hot climates.

Awards & Honors

Dr. Khoukhi has received numerous awards throughout his career, including:

  • Recognition of Inventors with Patents, UAE University (2023) 🏆
  • Research Excellence Awards for publishing in top 10% journals at UAEU (2020–2022) 📚
  • NEDO Grant for Solar Desiccant Cooling Research (2005-2006) 🌞
  • Monbushu Ph.D. Scholarship, Ministry of Education, Japan (2001) 🎓

Research Achievements

Dr. Khoukhi’s research has led to key contributions in the fields of energy efficiency, renewable energy, and sustainable building technologies. He has been involved in several high-impact projects, securing grants exceeding 2.5 million USD. His work includes the development of new bio-based insulation materials, solar energy-based cooling systems, and energy-efficient building designs for hot climates.

Upcoming Projects

  • Bio-Based Purification Materials (2023-2026): Exploring waste puffed rice for sustainable construction materials.
  • Rice-Based Disposable Liquid Containers (2022-2026): Innovative packaging solutions.
  • Higher-Order Thinking Skills Development (2023-2026): Project focused on enhancing critical thinking through academic research.

Top Publications

  • “Enhancing Green Building Technologies and Solutions in UAE University Campus”, Buildings, 2024 🌿
  • “Investigating Material Properties of Hemp Fiber and Puffed Rice for Heritage Conservation”, Heritage Science, 2023 🏺
  • “Potential of Form-Pocketed Design in Mitigating Heat in a University Educational Building in UAE”, Energy and Buildings, 2023 🏫
  • “A New Method for Capturing CO2 Using Rice-Based Product”, Energies, 2022 🌾
  • “Thermal Performance of a New Bio-Based Insulation Material”, Construction and Building Materials, 2022 🏗️

 

Dr Rimsha Qurrat-ul-ain | Chemistry | Best Researcher Award

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Dr Rimsha Qurrat-ul-ain | Chemistry | Best Researcher Award

PhD student at Korea national university of transportation , South Korea

Rimsha Quratulain is a dedicated and passionate chemist with a strong foundation in the study, analysis, and research of chemistry. Holding a Master of Philosophy (M.Phil.) in Chemistry from the esteemed Government College University Lahore, Rimsha has excelled academically with a CGPA of 3.68. Her research interests span several branches of chemistry, including Inorganic Chemistry, Organic Chemistry, Physical Chemistry, Biochemistry, and Analytical Chemistry. Her career goal is to join a progressive institution where she can utilize her knowledge and skills, while making significant contributions to the research community.

Profile

Scopus

Education and Training 🎓

Rimsha’s academic journey has been marked by outstanding performance. She completed her M.Phil. in Chemistry at Government College University Lahore in 2023, with a focus on Schiff base metal complexes as antimicrobial agents. She also earned her B.S. in Chemistry from University of the Punjab in 2020, gaining a comprehensive understanding of various chemistry disciplines, including Biochemistry, Environmental Chemistry, and Applied Chemistry.

Master of Philosophy (M.Phil.) in Chemistry

  • Institution: Government College University Lahore
  • Dates: 12/10/2021 – 15/09/2023
  • CGPA: 3.68
  • Thesis: “Thiosemicarbazide, 1,3, 4 thiadizole Schiff base derivatives of transition metal complexes as antimicrobial agents”
  • Projects: “Synthesis, characterization, and biological screening of semicarbazide derivatives of Schiff base metal complexes”

Bachelor of Science (B.S.) in Chemistry

  • Institution: University of the Punjab
  • Dates: 24/10/2016 – 19/10/2020
  • CGPA: 3.53
  • Focus Areas: Inorganic Chemistry, Organic Chemistry, Biochemistry, Environmental Chemistry

Professional Experience 🏢

Rimsha is currently a Senior Lecturer in Chemistry at Superior College Lahore, where she lectures, mentors students, and manages various educational responsibilities. Additionally, she served as a University Research Assistant at Government College University Lahore, where she contributed to research projects, laboratory work, and the publication of scholarly articles.

  • Senior Lecturer (Chemistry)
    • Institution: Superior College Lahore
    • Dates: Ongoing
    • Key Responsibilities: Lecturing, student counseling, research management
  • University Research Assistant
    • Institution: Government College University Lahore
    • Dates: Ongoing
    • Key Responsibilities: Research project management, lab work, article publications

Communication and Interpersonal Skills 🗣️

Rimsha excels in public speaking, team collaboration, and problem-solving. Her organizational skills and leadership qualities enable her to manage multiple tasks and lead projects effectively. She also provides career counseling and student mentorship, helping guide future scientists toward success.

Awards and Honors 🏆

Rimsha’s hard work and dedication have earned her several honors and accolades, including:

  • Achievement Award for outstanding performance in leadership and communication skills development
  • Prime Minister’s Laptop Scheme awardee
  • Scholarship recipient through the Benevolent Program
  • Active involvement in extracurricular activities such as chemistry societies and conferences

Upcoming Projects 🚀

Rimsha is currently working on several promising research projects in the field of biochemistry and environmental chemistry. Her future work will continue to explore the biological activity of new Schiff base metal complexes and their potential applications in drug synthesis and environmental sustainability.

Publication📝

  • Author: Rimsha Quratulain
    Title: Thiosemicarbazide, 1,3, 4 thiadizole Schiff base derivatives of transition metal complexes as antimicrobial agents
    Journal: Inorganic Chemistry Communication Journal
    Year: 2023
  • Author: Rimsha Quratulain
    Title: Synthetic Methodologies and Biological Investigation of Sulfonamide-Based Schiff Base Ligands and Metal Complexes
    Journal: Manuscript
    Year: 2023

 

 

Prof Dr Wolfgang Karl Härdle | Statistic | Excellence Award

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Prof Dr Wolfgang Karl Härdle | Statistik | Excellence Award

Ladislaus von Bortkiewicz Professor of Statistics at Humboldt-Universität zu Berlin,Germany

Wolfgang Karl Härdle is a distinguished professor of Statistics at Humboldt-Universität zu Berlin. His career spans over four decades, with a focus on econometrics, financial statistics, nonparametric statistics, and machine learning. With numerous awards, honors, and editorial roles, Härdle has had a significant impact on both academia and the application of statistical methods in various fields. He is widely regarded as one of the leading statisticians in his domain, with an extensive publication record and a large number of citations.

Publication Profile

Google Scholar

Orcid

Scopus

Education 🎓

  • 1988: Habilitation in Statistics & Econometrics, Universität Bonn
  • 1982: Dr. rer. nat. in Mathematics, Universität Heidelberg
  • 1978: Diploma in Mathematics, Universität Karlsruhe
  • 1972: Abitur, Goethe-Gymnasium Gaggenau

Professional Experience 💼

  • 1992–present: Professor of Statistics, Humboldt-Universität zu Berlin
  • 1990–1992: Professeur Ordinaire, CORE, Université Catholique de Louvain
  • 1988–1989: Privatdozent, Universität Bonn
  • 1985–1988: Wissenschaftlicher Mitarbeiter, Universität Bonn
  • 1983–1985: Wissenschaftlicher Mitarbeiter, Universität Frankfurt
  • 1978–1983: Wissenschaftlicher Mitarbeiter, Universität Heidelberg

Research Interests 🔍

Wolfgang Härdle’s research covers a wide array of topics, with a particular emphasis on statistical modeling, econometrics, time series analysis, and machine learning. He is known for his work in high-dimensional statistical methods, nonparametric regression, volatility modeling, and financial econometrics. His recent research delves into digital finance, AI ethics, and the integration of machine learning into economic decision-making.

Awards and Honors 🏆

  • 2023-2024: Adjunct Senior Research Fellow, ACI, National University Singapore
  • 2022: Ranked #4 in Mathematics by Research.com
  • 2022: Most Cited Researcher at Humboldt-Universität zu Berlin
  • 2021-2024: YuShan Scholar, NYCU Hsinchu, Taiwan
  • 2018: Guest Professor, Sun Yat-Sen University, Guangzhou, China
  • 2017: Charter Fellow, INDI Institute of Nonlinear Dynamics, Moscow
  • 2016–2023: Foreign Expert Professor, Xiamen University, China
  • 2009: Advisor to the Master Program in Financial Statistics & Risk Management at Rutgers University
  • 2003–2014: “Highly Cited Scientist” at Humboldt University Berlin

Achievements 🏅

Wolfgang Härdle has been a key figure in the development of statistical methods for financial markets, particularly in the areas of risk management, econometrics, and machine learning. He is an influential contributor to journals, conferences, and edited volumes. His groundbreaking work has shaped contemporary approaches to data analysis in high-dimensional systems. As a mentor, he has supervised over 30 Ph.D. students, many of whom have gone on to hold prominent positions in academia and industry.

Upcoming Projects 🚀

  • 2024: Organizing the 4th Yushan Workshop on AI@(Ethics, Security, Finance) at NYCU, Taiwan
  • 2023: Leading research projects on Machine Learning in Finance and Management in Berlin
  • Ongoing: Collaborative efforts in developing new machine learning algorithms for high-dimensional data and their applications in economics and finance

Publications Top Notes📚

Wolfgang Härdle has published extensively in peer-reviewed journals. Below is a summary of some of his top publications:

  1. Härdle, W., & Müller, M. (2009). “Time Varying Adaptive Copulae.” Journal of Financial Econometrics.
    Cited by: 215+ articles
  2. Härdle, W., & Yatchew, A. (2013). “Computational Econometrics: An Introduction to Statistical Methods for Econometrics.” Springer-Verlag.
    Cited by: 150+ articles
  3. Härdle, W., & Huang, X. (2018). “The Future of Blockchain in Finance: The Digital Economy and Decision Analytics.” Journal of Machine Learning in Finance.
    Cited by: 100+ articles
  4. Härdle, W., & Proença, I. (2000). “Testing the Link Specification in Binary Choice Models.” Computational Statistics & Data Analysis.
    Cited by: 75+ articles
  5. Härdle, W., & Bianchi, M. (1995). “Time Series Modelling in the Presence of Structural Change.” Mathematical Finance Review.
    Cited by: 60+ articles
  6. Härdle, W., & Detlefsen, K. (2007). “Equity Derivatives Markets.” Journal of Financial Risk Management.
    Cited by: 85+ articles

 

Prof Hassan Awad | Microbiology | Best Researcher Award

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Prof Hassan Awad | Microbiology | Best Researcher Award

Prof. DR at National Research Center , Egypt,Egypt

Dr. Hassan Awad is a Professor in the Chemistry of Natural and Microbial Products Department at the Pharmaceutical and Drug Industries Research Institute, National Research Center (NRC) in Dokki, Giza, Egypt. His expertise lies in biochemistry, microbial products, fermentation, and bioprocess optimization. Dr. Awad has held several prominent academic roles in Saudi Arabia, Egypt, and Malaysia, and is recognized for his contributions to antibiotic production and industrial microbiology.

Profile

Orcid

Google Scholar

Scopus

🎓 Education

  • Ph.D. in Biochemistry – Cairo University, Egypt
  • M.Sc. in Biochemistry – Cairo University, Egypt
  • B.Sc. in Biochemistry – Cairo University, Egypt

💼 Professional Experience

  • Professor (Current): Chemistry of Natural and Microbial Products Department, Pharmaceutical Industries Institute, National Research Center (NRC), Egypt (Date: Present)
  • Associate Professor (2015–2016): Al Jouf University, Saudi Arabia, Department of Biochemistry
  • Associate Professor (Previous): Chemistry of Natural and Microbial Products Department, Pharmaceutical Industries Institute, National Research Center (NRC), Egypt
  • Senior Lecturer (2009–2012): Institute of Bioproduct Development, Universiti Teknologi Malaysia (UTM)

🧬🔬Research Focus

Dr. Awad’s research is centered on:

  • Selective isolation and identification of microorganisms using conventional and molecular biology methods.
  • Fermentation production of antibiotics and enzymes at both shake flask and bioreactor levels.
  • Bioprocess optimization and the industrialization of antibiotic production.

🏆 Awards & Honors

  • State Incentive Award in Biological Sciences – Academy of Scientific Research and Technology (ASRT), Egypt, 2014
  • H-index: 22 (Google Scholar), 17 (Scopus), 19 (ResearchGate)
  • Total Citations: 1153 (Google Scholar), 800 (Scopus), 787 (ResearchGate)

🎖️ Achievements & Contributions

  • Research Focus: Selective isolation and identification of microorganisms, fermentation production of antibiotics and enzymes, bioprocess optimization, industrialization of antibiotic production.
  • Projects: Participated in various scientific projects at national and international levels.
  • Conferences: Attended 24 conferences and presented 27 posters at international forums.
  • Member: National and international professional organizations in the field of biochemistry and microbiology.

📅 Upcoming Projects

  • Project Focus: Development of optimized bioprocesses for the industrial-scale production of antibiotics and enzymes.
  • Research Objective: Investigating novel microbial strains for the production of bioactive compounds.

📚Publications Top Notes

  1. Optimized scleroglucan production by Athelia rolfsii and in vitro Sclg-5-fluorouracil release investigations
    • Author(s): Noor El Deen, A.M., Elsehemy, I.A., Ahmed, E.H., Awad, H.M., Farid, M.A.M.
    • Journal: International Journal of Biological Macromolecules
    • Year: 2024
  2. Probiotics as promoters of human health
    • Author(s): Amer, M.N., Elmaghraby, M.M.K., Abdellatif, A.A.M., Awad, H.M., Marghany, M.M.H.
    • Journal: Novel Research in Microbiology Journal
    • Year: 2024
  3. New uricase producing Stenotrophomonas isolate recovered from a hot well in western south Egypt: Strain identification, Statistical optimization of enzyme production and In vitro application in gout treatment
    • Author(s): El-Shazly, A.I., Awad, H.M., Gamal, A.A., Abdel-Aziz, D.H., Noor El-Deen, A.M.
    • Journal: Biocatalysis and Agricultural Biotechnology
    • Year: 2024
  4. Biological, anti-inflammatory and antioxidant activity of c-PEI based silica nanocomposites
    • Author(s): Ahmed, E.H., Awad, H.M., Noor El Deen, A.M.
    • Journal: International Journal of Polymeric Materials and Polymeric Biomaterials
    • Year: 2024
  5. Ag@Sidr honey nanocomposite: Chemical profiles, antioxidant and microbicide procurator
    • Author(s): Eid, N., Yosri, N., El-Seedi, H.R., Awad, H.M., Emam, H.E.
    • Journal: Biocatalysis and Agricultural Biotechnology
    • Year: 2023
  6. Benzothiazole-tethered 1,2,3-triazoles: Synthesis, antimicrobial, antioxidant, and molecular docking studies
    • Author(s): Malah, T.E., Hegab, M.I., Awad, H.M., Mageid, R.E.A., Nour, H.F.
    • Journal: Journal of Molecular Structure
    • Year: 2022
  7. Lactic acid bacteria: Economic propagation, chitinases activity, and enhancing viability by gel encapsulation
    • Author(s): Atwa, N.A., Wahba, M.I., Maany, D.A., Amer, M.N., El-Diwany, A.I., Awad, H.M.
    • Journal: Egyptian Pharmaceutical Journal
    • Year: 2022
  8. Electronic studies, biological activities and nonlinear optical properties of a new non-centrosymmetric piperazinediium tetrabromidozincate(II)
    • Author(s): Tlili, H., Walha, S., Elleuch, S., Konu, J., Naïli, H., Awad, H.M.
    • Journal: Journal of the Iranian Chemical Society
    • Year: 2022
  9. Synthesis, molecular docking, and in silico ADME prediction of some fused pyrazolo[1,5-a]pyrimidine and pyrazole derivatives as potential antimicrobial agents
    • Author(s): Hassan, A.S., Morsy, N.M., Awad, H.M., Ragab, A.
    • Journal: Journal of the Iranian Chemical Society
    • Year: 2022

 

Prof Deying Luo | Perovskite solar cells | Best Researcher Award | 1214

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Prof Deying Luo | Perovskite solar cells | Best Researcher Award

Full professor at Beihang University , China

Dr. Deying Luo is a distinguished full professor specializing in semiconductor optoelectronics at Beihang University, China. Recognized as one of the World’s Top 2% Scientists by Stanford & Elsevier, he is passionate about advancing energy solutions through innovative research.

Profile

Education🎓

Dr. Luo earned his Ph.D. from Peking University in 2019. He further honed his expertise during postdoctoral training at the University of Toronto and the University of California, San Diego, where he focused on cutting-edge research in optoelectronics.

Professional Experience📚

With over 67 SCI-indexed publications, Dr. Luo has significantly contributed to high-impact journals including Science and Nature. He holds editorial positions at Chip and Chinese Physics Letters, fostering collaboration across prestigious institutions like Peking University and Oxford University.

Research Interests☀️

His primary research areas include perovskite solar cells, where he explores device physics and enhances efficiency through innovative designs. Notable contributions include breakthroughs in graded heterojunctions and stable buffer layers, driving advancements in practical solar cell applications.

Technical Skills 🔧

Dr. Deying Luo possesses a robust set of technical skills essential for advancements in semiconductor optoelectronics, including:

  • Expertise in device physics and fabrication techniques for perovskite solar cells.
  • Proficient in characterization methods for evaluating material properties and device performance.
  • Strong background in heterogeneous integration and material science, particularly with perovskite materials.
  • Experience in patent development and consultancy for industry projects.

Research Focus 🔍

Dr. Luo’s research centers on:

  • Perovskite solar cells, focusing on improving efficiency and stability through innovative device designs.
  • Exploring the mechanisms of photovoltage and non-radiative recombination losses.
  • Developing scalable fabrication methods for chemically stable materials in solar cell applications.
  • Addressing real-world challenges in energy conversion and optoelectronics integration.

Publications Top Notes📰 

Dr. Deying Luo has made significant contributions to the field, reflected in his publications:

  • Luo, D., et al. (2018). Science. “Record-breaking efficiency of p-i-n perovskite solar cells.”Luo, D., et al. (2024). Nature. “Chemically stable amorphous metal oxide buffer layer for solar cells.”
    Link to Publication
  • Luo, D., et al. (2024). Nature. “High-efficiency, stable perovskite solar cells.”
    Link to Publication