Angelique Nicolas Messi | Computational Chemistry | Best Researcher Award

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Dr. Angelique Nicolas Messi | Computational Chemistry | Best Researcher Award

Department of Organic Chemistry, University of Yaoundé 1 | Cameroon

Dr. Angelique Nicolas Messi is a distinguished Cameroonian organic chemist and Senior Lecturer at the Department of Organic Chemistry, University of Yaoundé I. He also serves as the Head of the Department of Basic and Applied Fundamental Sciences at the State University of Ebolowa, where he teaches general and organic chemistry, analytical chemistry, thermodynamics, pharmacognosy, and research methodology. Dr. Messi earned his Ph.D. in Organic Chemistry from the University of Yaoundé I in 2018, focusing on the isolation, structural elucidation, and bioassay of biflavonoids from Ochna species. He expanded his expertise as a Postdoctoral Research Fellow at the University of Fribourg in Switzerland under Prof. Christian G. Bochet (2020–2021) and through research visits to the University of Free State, South Africa (2015, 2023). His research centers on pharmaceutical and natural product chemistry, emphasizing drug discovery from natural sources, including biflavonoids, flavonoids, and synthetic analogs with neuroprotective, anticancer, antimalarial, and anti-HIV properties. A prolific researcher and mentor, Dr. Messi has authored numerous peer-reviewed articles in high-impact journals such as Pharmaceutics, Molecular Neurobiology, Chemistry Africa, and Biochemical Systematics and Ecology. His scientific impact is reflected in 122 citations, an h-index of 5, and an i10-index of 4. Renowned for his expertise in chromatographic and spectroscopic techniques such as NMR, LC-MS, and HRESIMS, he has contributed significantly to the discovery of novel bioactive compounds. In recognition of his outstanding contributions, he was honored as the “Best Researcher in Organic Chemistry” in 2025 by the Research Chemistry Awards. Fluent in both French and English, Dr. Messi is an invited speaker at international conferences, a reviewer for leading scientific journals, and a strong advocate for green chemistry and sustainable drug development in Africa.

Profile: Google Scholar | Scopus

Featured Publications

  • Ndongo, J. T., Issa, M. E., Messi, A. N., Ngo Mbing, J., Cuendet, M., & Pegnyemb, D. E. (2015). Cytotoxic flavonoids and other constituents from the stem bark of Ochna schweinfurthiana. Natural Product Research, 29(17), 1684–1687.

  • Messi, A. N., Ngo Mbing, J., Ndongo, J. T., Nyegue, M. A., Tchinda, A. T., Yemeda, F. L., & Pegnyemb, D. E. (2016). Phenolic compounds from the roots of Ochna schweinfurthiana and their antioxidant and antiplasmodial activities. Phytochemistry Letters, 17, 119–125.

  • Djova, S. V., Nyegue, M. A., Messi, A. N., Afagnigni, A. D., & Etoa, F. X. (2019). Phytochemical study of aqueous extract of Ochna schweinfurthiana F. Hoffm powder bark and evaluation of their anti-inflammatory, cytotoxic, and genotoxic activities. Evidence-Based Complementary and Alternative Medicine, 2019, 8908343.

  • Messi, A. N., Bonnet, S. L., Owona, B. A., Wilhelm, A., Kamto, E. L. D., Ndongo, J. T., & Pegnyemb, D. E. (2022). In vitro and in silico potential inhibitory effects of new biflavonoids from Ochna rhizomatosa on HIV-1 integrase and Plasmodium falciparum. Pharmaceutics, 14(8), 1701.

  • Owona, B. A., Mary, A., Messi, A. N., Ravichandran, K. A., Mbing, J. N., & Pegnyemb, E. (2025). Biflavonoid methylchamaejasmin and Khaya grandifoliola extract inhibit NLRP3 inflammasome in THP-1 cell model of neuroinflammation. Molecular Neurobiology, 62(2), 1605–1619.

Venu Mankad | Density Functional Theory | Best Researcher Award

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Assoc. Prof. Dr. Venu Mankad | Density Functional Theory | Best Researcher Award

Associate Professor at GITAM University, India

Assoc. Prof. Dr. Venu Mankad is a distinguished physicist specializing in nanomaterials and computational physics. His earned his Ph.D. in Physics from M.K. Bhavnagar University in 2013, focusing on nanoscale phonon engineering. his completed a prestigious postdoctoral fellowship at the Institute of Physics, Karl-Franzens University, Graz (Austria), in collaboration with CNR, Pisa (Italy). Currently serving as an Assistant Professor at GITAM (Deemed to be University), Hyderabad, Dr. Mankad has received several accolades, including the DST-SERB Fast Track Young Scientist Award and the IUPAP Travel Grant. His research integrates density functional theory (DFT) to study ultrathin oxides and heterogeneous nanocatalysts. An active member of several scientific societies, his also serves as a reviewer for reputed journals and mentors young researchers.

Professional Profile:

SCOPUS

ORCID

Suitability of Assoc. Prof. Dr. Venu Mankad for the “Best Researcher Award”

Assoc. Prof. Dr. Venu Mankad demonstrates strong eligibility and is a highly suitable candidate for the Best Researcher Award based on a multi-faceted record of academic excellence, research innovation, and scholarly contributions. His credentials align with the award’s core evaluation pillars: academic achievement, research originality, impact, leadership, and community engagement.

🎓 Education

Ph.D. in Physics (2013) – M.K. Bhavnagar University, Gujarat, India
Thesis: “Engineering Nanoscale Phonon and Phonon Assisted Properties of Nanoparticles and Nanofluidics”
🎓

Postdoctoral Fellowship (2014) – Institute of Physics, Karl-Franzens University, Graz (Austria), jointly with CNR, Pisa (Italy)
🧪🌍

M.Sc. in Physics (2009) – Bhavnagar University 🧠

B.Sc. in Physics (2007) – Bhavnagar University 📘

💼 Professional Experience

Assistant Professor (Aug 2017–Present) – GITAM (Deemed to be University), Hyderabad Campus 🏫

Lecturer (2013–2014) – CIPET, Ahmedabad

Teaching Assistant (2013) – SVNIT, Surat

🏆 Major Achievements, Awards & Honors

🥇 DST-SERB Fast Track Young Scientist Award (2015–2018) – ₹31 lakh project grant

✈️ IUPAP Travel Grant (2015) – For conference on Women in Physics at ICTP, Italy

🎖️ Senior Research Fellowship (SRF-Direct) – CSIR, India (2012–2013)

🧪 Junior Research Fellow (JRF) – DST-SERC project (2010–2011)

🧫 Project Fellow – UGC Project (2009–2010)

🥇 Gold Medalist – Topper in M.Sc. Physics (2009) 🏅

🧑‍🔬 First Prize – Poster Presentation at CSMCRI (2007)

📚 Research Focus & Contributions

Specialization in:

Density Functional Theory (DFT) 🧠💻

Heterogeneous Nanocatalysts ⚗️

Ultrathin Oxides & Phonon Engineering

Reviewer for:

Chemical Physics Letters, Journal of Nanomaterials, DAE-SSPS (AIP)

Mentoring Ph.D. scholars and undergraduate research projects 🎓

🧩 Professional Memberships

  • 🔬 Society for Materials Chemistry (SMC) – Life Member

  • 📘 Indian Physics Association (IPA) – Life Member

  • 🌍 Organization for Women in Science in Developing Countries (OWSD) – Life Member

🧠 Workshops & Conferences

  • Participated in 20+ national and international conferences and workshops on nanoscience, materials chemistry, high-pressure physics, and spectroscopy

  • Delivered invited talks in India and abroad (e.g., Erlangen-Nuremberg University, Germany)

  • Organized national webinars on Research Skill Development and Blended Learning 🗣️📡

📚Publication Top Notes

Toxic gas whisperers: Sensing dynamics of pristine and alloyed Cu nanoclusters

Dressing of Cu Atom over Nickel Cluster Stimulating the Poisoning-Free CO Oxidation: An Ab Initio Study

Incisive study on stability and vibrational properties of NO<inf>x</inf> (x = 1 to 3) over Pt surfaces: A comparative analysis

Interaction mechanism of CO with Pd-rich copper clusters

O-assisted and pristine Au-Pt(100) surfaces: A platform for adsorption and decomposition of H<inf>2</inf>O

 

Prof. Gresky Gutiérrez Sánchez | Analysis | Best Researcher Award

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Prof. Gresky Gutiérrez Sánchez | Analysis | Best Researcher Award

Prof. Gresky Gutiérrez Sánchez, Pnud/Senacyt, Panama.

Gresky Gutiérrez Sánchez is an accomplished statistician with extensive expertise in multivariate analysis, data modeling, and applied research 📊. He specializes in R and Python programming for advanced statistical solutions and has contributed significantly to bibliometric studies and innovation impact assessments. Currently pursuing a Ph.D. in Multivariate Statistics at the University of Salamanca 🎓, his research explores the application of Bootstrap techniques in sparse solutions. With a background in academia and governmental organizations, he has played a key role in national research projects in Panama 🇵🇦. His passion lies in transforming data into actionable insights for science and policy 📈.

Professional Profile:

Orcid

Suitability for Best Researcher Award: Gresky Gutiérrez Sánchez

Gresky Gutiérrez Sánchez is a distinguished statistician with extensive expertise in multivariate analysis, bibliometric research, and innovation impact assessment. His work spans both academic research and governmental applications, making significant contributions to data-driven decision-making in policy and scientific development. His research on Bootstrap techniques for sparse statistical solutions is advancing high-dimensional data modeling, while his machine learning and Big Data expertise enhances predictive analytics across multiple disciplines. Given his scientific contributions, international collaborations, and research excellence, he is a strong candidate for the Best Researcher Award.

🎓 Education & Experience

  • Ph.D. (In Progress, 2025) – Multivariate Statistics, University of Salamanca, Spain 🇪🇸

    • Thesis: “Bootstrap como Nuevo Enfoque para Estabilizar Soluciones Sparse”

  • M.Sc. (2021) – Advanced Multivariate Data Analysis & Big Data, University of Salaman

  • ca 🎓

  • B.Sc. (2017) – Statistical Engineering, University of Panama 🇵🇦

💼 Work Experience:

  • Statistical Expert, SENACYT (Current) 🏛️

    • Leading data-driven research on innovation and scientific development.

  • Data Analyst & Researcher, University of Salamanca (2020-2023) 🧪

    • Conducted bibliometric studies and statistical modeling for research projects.

  • Visiting Professor, University of Milagro, Ecuador (2022-2023) 🎓

    • Taught courses in multivariate analysis and applied statistics.

  • Statistical Consultant, Auditsa Panamá (2018-2019) 📊

    • Developed analytical tools for financial audits and operational reviews.

🚀 Professional Development

Gresky Gutiérrez Sánchez is a dedicated statistician and researcher passionate about leveraging data science for innovation and policy-making 🔍📈. His expertise in multivariate analysis, machine learning, and bibliometrics has enabled him to contribute to impactful research in academia and government sectors. He has designed statistical strategies for national innovation projects, collaborated on international studies, and trained professionals in statistical modeling and data analysis 🎓. As a speaker and educator, he actively shares knowledge on emerging trends in statistics and Big Data. His work bridges the gap between theory and real-world applications, fostering data-driven decision-making across disciplines.

🔬 Research Focus 

Gresky’s research centers on multivariate statistics, computational methods, and bibliometric analysis 📊. His Ph.D. work explores Bootstrap methodologies to enhance sparse statistical models, optimizing predictive accuracy for high-dimensional datasets. He is also deeply involved in scientometric studies, assessing scientific collaboration and innovation trends globally 🌍. Additionally, his expertise in machine learning and Big Data analytics allows him to develop predictive models for economic and scientific impact assessments 📉. His work integrates statistical theory with real-world applications, particularly in policy research, helping governments and institutions make data-driven decisions to foster sustainable development and research growth.

🏆 Awards & Honors

  • Research Fellowship, University of Salamanca (2021-2023) 🎓

  • Best Statistical Paper Presentation, VI National Congress of Statistics, Panama (2024) 📜

  • Government Recognition for Contributions to Innovation Research, SENACYT (2023) 🏅

  • Scientific Collaboration Award, Bibliometric Analysis in the Andean Region (2022) 🌎

  • Merit Scholarship for Master’s Studies, University of Salamanca (2019-2021) 🎖️

Publication Top Notes:

Scientific Collaboration and Sustainable Development: A Bibliometric Analysis of the Andean Region, Panama, and Spain

SUSAM BORAL | Computational Nanotechnology | Best Researcher Award

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Dr. SUSAM BORAL | Computational Nanotechnology | Best Researcher Award

Research Fellow at Trinity College Dublin, Ireland.

📌 Dr. Susam Boral is a Research Fellow at Trinity College Dublin, specializing in mathematical modeling, wave interactions, and hydroelasticity. He earned his Ph.D. in Hydroelasticity from IIT Kharagpur (2022) and has held research positions at Harbin Engineering University and IIT Kharagpur. His expertise includes two-point boundary value problems, dissipative nonlinear Schrödinger equations, and potential flow analysis. Dr. Boral has organized international workshops, collaborated with esteemed institutions like Cambridge University and the University of Newcastle, and published extensively in high-impact journals.

Professional Profile:

Google Scholar

Education 🎓

  • 📍 Executive PG Certification in Data Science & AI – IIT Roorkee & Intellipaat (2024–Present)
  • 📍 Ph.D. in Hydroelasticity – IIT Kharagpur (2022)
  • 📍 M.Sc. in Applied Mathematics – University of Calcutta (2018)
  • 📍 B.Sc. in Mathematics (Hons.) – University of Calcutta (2016)

Experience 🏆

  • 🔬 Research Fellow, Trinity College Dublin, Ireland (Nov 2024 – Present)
  • 🏗️ Postdoctoral Fellow, Harbin Engineering University, China (June 2023 – Oct 2024)
  • 🔍 Research Associate, IIT Kharagpur, India (March 2023)

Professional Development & Achievements 📚

  • 🏅 CSIR Senior Research Fellowship, India (2020–2022)
  • 🏅 CSIR Junior Research Fellowship, India (2018–2020)
  • 🏆 First Rank in M.Sc. & B.Sc. Mathematics, University of Calcutta
  • 🌍 Visiting Researcher, Isaac Newton Institute, Cambridge University (2023)
  • 🌏 SPARC Visiting Scholar, University of Newcastle, Australia (2020)
  • 🎓 Workshop Organizer, International Workshop on Mathematics of Sea Ice and Ice Sheets (MOSSI) (2023–2024)

Publication Top Notes

📖 The role of viscoelastic foundation on flexural gravity wave blocking in shallow water –📑 16 citations | 📅 2021

🌊 Bragg scattering of long flexural gravity waves by an array of submerged trenches and the analysis of blocking dynamics –  📑 15 citations | 📅 2021

🧊 Bragg scattering of flexural-gravity waves by a series of polynyas in the context of blocking dynamics – 📑 12 citations | 📅 2023

🌊 Time-dependent flexural gravity wave scattering due to uneven bottom in the paradigm of blocking dynamics – 📑 9 citations | 📅 2023

🔍 Gravity wave interaction with an articulated submerged plate resting on a Winkler foundation – 📑 9 citations | 📅 2022