Radhika khanna | Chemistry | Best Researcher Award

Mrs. Radhika khanna | Chemistry | Best Researcher Award

Researcher at FRI, India

Mrs. Radhika Khanna is an accomplished researcher and educator whose career embodies a seamless blend of academic excellence and innovative scientific inquiry. Her work spans multiple disciplines, merging the realms of medical sciences, chemistry, and education to generate impactful research and practical solutions. With an impressive portfolio that includes significant research publications and a patented formulation for diabetes management, she has consistently demonstrated her ability to convert theoretical knowledge into real-world applications. In addition to her research, she has been an inspiring teacher, effectively engaging students at both TGT and PGT levels. Her active participation in national and international conferences, along with her continuous pursuit of professional development through various certification programs, reflects her unwavering commitment to advancing science and education. As she continues her Ph.D. journey at a prestigious research institute, her dynamic contributions mark her as a promising leader in the scientific community.

Professional Profile 

Education

Mrs. Radhika Khanna’s academic journey is marked by diversity and determination. She began her formal education at Shri Ram Ashram Public School, Amritsar, where she completed her SSC with commendable performance in 2010–2011. Building on this strong foundation, she pursued her HSC at Bhavans SL Public School, Amritsar in 2012–2013, securing an impressive 84%. She then obtained her Bachelor of Science in Medical from S.R. Government College, Amritsar (2013–2016), followed by a Master of Science in Chemistry from Khalsa College, Amritsar (2016–2018). Demonstrating a passion for teaching alongside scientific inquiry, she completed her B.Ed in Science at M.L.M College, Amritsar (2018–2020). Currently, she is advancing her scholarly pursuits through a Ph.D. at the Forest Research Institute, Dehradun, where her thesis has been completed and is under review, highlighting her dedication to research and academic excellence.

Professional Experience

Mrs. Radhika Khanna has built a robust professional profile that bridges high-caliber research and impactful teaching. Her early career was marked by her involvement in a research project on the design and synthesis of Schiff base-based chemosensors at Khalsa College, Amritsar (2017–2018) under the mentorship of Dr. Kuljit Kaur. She then transitioned into the field of education, serving as a TGT and PGT Chemistry teacher at Shri Ram Ashram Public School, Amritsar from 2018 to 2020, where she employed innovative and interactive teaching methods. In 2020, she furthered her research career with a project on the chemical characterization of forest genetic resources at the Forest Research Institute, Dehradun, under the guidance of Dr. V.K. Varshney. In parallel, she has actively participated in various national and international conferences, presenting her findings and earning accolades such as a best poster award, thereby enhancing her reputation as both a dedicated researcher and an influential educator.

Research Interest

Mrs. Radhika Khanna’s research interest lies at the intersection of natural product chemistry and sustainable forest resource management. She is particularly focused on the chemical characterization and pharmacological evaluation of bioactive compounds derived from lesser-known forest species. Her work encompasses the exploration of novel natural antioxidants, anti-inflammatory agents, and antidiabetic compounds, with a significant emphasis on Cupressus torulosa. By employing advanced techniques such as UPLC-QTOF-MS, LCMS, and GCMS, she aims to elucidate the metabolomic profiles of these plants and establish their potential for therapeutic applications. Her research not only contributes to the scientific understanding of plant-based bioactives but also supports the sustainable utilization of forest genetic resources. Through this work, she seeks to bridge traditional knowledge with modern analytical science, thereby paving the way for innovative drug discovery and environmental conservation strategies that can benefit both human health and biodiversity.

Awards and Honors

Mrs. Radhika Khanna has received several accolades and recognitions that underscore her commitment to scientific excellence and innovation. Among her notable honors is the best poster award, which was conferred at a national conference highlighting her exceptional presentation on the toxicity studies and hypoglycemic activity of natural extracts. In addition, she holds a patent for a formulation aimed at treating diabetes mellitus and its complications, marking a significant milestone in her research career. Her active participation and presentations at international conferences, such as those in Nepal and during the Young Scientist Conference organized by prestigious governmental bodies, further attest to her research prowess. These awards and honors not only recognize her technical expertise and innovative approach but also inspire her continuous pursuit of excellence in both academic and applied research domains.

Research Skills

Mrs. Radhika Khanna possesses a robust set of research skills that are integral to her success as a scientist and educator. Her technical proficiency spans a wide array of advanced analytical instruments including UV/IR spectroscopy, GCMS, HPLC, LCMS, and GCFID, which she utilizes to perform detailed chemical analyses and compound characterizations. She is adept at employing chromatographic techniques such as column and flash chromatography to isolate and purify complex mixtures. In addition to her laboratory skills, she is proficient in data interpretation, enabling her to draw meaningful conclusions from experimental results. Her computational skills, including proficiency in C++, HTML, and various graphic design tools like Corel Draw and Adobe Photoshop, further enhance her ability to present and communicate research findings effectively. Overall, her blend of technical expertise, analytical rigor, and innovative thinking positions her as a highly capable researcher with a significant impact on both scientific inquiry and applied research practices.

Conclusion

Radhika Khanna stands out as a strong candidate for the Best Researcher Award. Her multidisciplinary expertise, advanced technical skills, and a growing portfolio of high-quality research outputs make her well-suited for this recognition. With strategic improvements—especially in fostering collaborations, enhancing her publication profile, and strengthening grant acquisition—she has the potential to significantly elevate her research impact and contribute even more robustly to her field.

Publications Top Noted

Publication 1:
Title: In vitro and in vivo anti-inflammatory activity of Cupressus torulosa D. DON needles extract and its chemical characterization
Authors: R Khanna, K Bhadoriya, YC Tripathi, VK Varshney
Year: 2023
Citation: Journal of Ethnopharmacology, Volume 314, Article 116578 (2023).

Publication 2:
Title: Cupressus torulosa, a Source of Antioxidant Polyphenols: An Analytical and Pharmacological Study
Authors: R Khanna, HR Chitme, K Bhadoriya, VK Varshney
Year: 2025
Citation: Rapid Communications in Mass Spectrometry, Volume 39, Issue 3, Article e9945 (2025).

Publication 3:
Title: In Vitro and In Vivo Assessment of Antidiabetic Activity of Cupressus torulosa D. Don Needles, Their LCQTOFMS Assisted Metabolite Profiling, and Implications for Diabetes Management
Authors: R Khanna, HR Chitme, K Bhadoriya, YC Tripathi, VK Varshney
Year: 2025
Citation: Journal of Mass Spectrometry: JMS, Volume 60, Issue 3, Article e5117 (2025).

Publication 4:
Title: UPLC-QTOF-MS-based metabolomics and chemometrics studies of geographically diverse C. torulosa needles
Authors: R Khanna, VK Varshney, K Bhadoriya
Year: 2025
Citation: Analytical Methods (2025).

Publication 5:
Title: Toxicity studies, Hypoglycaemic activity of Cupressus torulosa needles and recognition of active molecules
Authors: R Khanna
Year: [Year not specified]
Citation: MDPI – [Further citation details not provided].

Vladislav Vasilyev | Chemistry | Best Researcher Award

Dr. Vladislav Vasilyev | Chemistry | Best Researcher Award

Computational Chemist at Australian National University, Australia

Dr. Vladislav Vasilyev is a distinguished computational chemist with over 30 years of research experience in physical and computational chemistry. He earned his Ph.D. from the Institute of Catalysis, Novosibirsk, Russia, and has held research positions at prestigious institutions in Australia, Canada, France, and Russia. Currently serving at the National Computational Infrastructure, Australian National University, he specializes in high-performance computing applications for scientific research. His expertise spans biopolymer modifications, theoretical modeling, and computational methodologies. Throughout his career, Dr. Vasilyev has contributed to interdisciplinary research, collaborating with global institutions to advance computational chemistry. While his extensive experience and international recognition make him a strong candidate for the Best Researcher Award, highlighting his publications, citations, research funding, and mentorship contributions would further strengthen his profile. His work continues to impact scientific advancements, particularly in the field of computational chemistry and its applications in biomolecular research.

Professional Profile 

Education

Dr. Vladislav Vasilyev holds a strong academic background in physical and computational chemistry. He earned his Ph.D. in Physical Chemistry from the Institute of Catalysis, Novosibirsk, Russia, in 1993, where he focused on advanced research in catalysis and molecular interactions. Prior to that, he completed his Master of Science in Physical Chemistry at the Faculty of Natural Sciences, Novosibirsk State University, Russia, from 1982 to 1987. His education provided a solid foundation in theoretical and experimental chemistry, equipping him with expertise in computational modeling and high-performance computing applications. His academic training, combined with extensive postdoctoral research in France and Canada, has shaped his career as a leading computational chemist. His strong educational background has enabled him to make significant contributions to biopolymer modifications, molecular simulations, and computational chemistry, furthering advancements in high-performance computing and scientific research methodologies.

Professional Experience

Dr. Vladislav Vasilyev has an extensive professional career spanning over three decades in computational and physical chemistry. Since 2001, he has been a Computational Chemist at the National Computational Infrastructure, Australian National University, where he specializes in high-performance computing applications for scientific research. Before this, he worked as a Research Associate at the Biotechnology Research Institute, NRC, Canada (1998-2001), and as a Post-Doctoral Fellow at the same institute (1996-1998), contributing to biopolymer research. His international experience includes a postdoctoral position at the Ecole Nationale Supérieure de Chimie de Montpellier, France (1995-1996), and research associate roles at the Institute of Bioorganic Chemistry, Novosibirsk, Russia (1994-1995). His early career involved positions as a Junior Research Associate and Postgraduate Research Assistant in Russia, focusing on physico-chemical methods for studying biopolymers. His diverse experience across prestigious institutions has established him as a leader in computational chemistry and molecular modeling.

Research Interest

Dr. Vladislav Vasilyev’s research interests lie at the intersection of computational chemistry, physical chemistry, and high-performance computing. He specializes in molecular modeling, biopolymer modifications, and theoretical simulations, focusing on understanding the structural and dynamic properties of complex molecular systems. His expertise extends to developing and optimizing computational methodologies for studying chemical interactions at the atomic and molecular levels. As a Computational Chemist at the National Computational Infrastructure, Australian National University, he is involved in large-scale scientific computing, contributing to advancements in quantum chemistry, catalysis, and biomolecular simulations. His research also explores the application of computational techniques in drug discovery, material science, and nanotechnology. With a strong background in interdisciplinary collaborations, Dr. Vasilyev continues to push the boundaries of computational modeling, enhancing the accuracy and efficiency of chemical simulations, and driving innovation in computational approaches to solving complex scientific problems.

Award and Honor

Dr. Vladislav Vasilyev’s curriculum vitae does not explicitly mention awards and honors, but his distinguished career and contributions to computational chemistry suggest recognition within the scientific community. As a Computational Chemist at the National Computational Infrastructure, Australian National University, his work in high-performance computing and molecular modeling has likely contributed to significant advancements in the field. His international research experience in Canada, France, and Russia highlights his expertise and impact across multiple scientific institutions. While specific accolades, grants, or fellowships are not listed, his long-standing position at a leading research institution and involvement in large-scale scientific computing projects indicate professional recognition. To further strengthen his profile, it would be beneficial to highlight any awards, honors, or distinctions received throughout his career, such as research grants, keynote invitations, or contributions to high-impact publications. His extensive contributions to computational chemistry and interdisciplinary research undoubtedly position him as a respected figure in his field.

Research Skill

Dr. Vladislav Vasilyev possesses advanced research skills in computational chemistry, physical chemistry, and high-performance scientific computing. His expertise lies in molecular modeling, quantum chemistry, and the theoretical simulation of complex chemical systems. With extensive experience in biopolymer modifications, catalysis, and molecular interactions, he applies computational methodologies to analyze chemical structures and reactions at the atomic level. His proficiency in high-performance computing allows him to develop and optimize algorithms for large-scale simulations, enhancing the accuracy and efficiency of chemical modeling. Throughout his career at the National Computational Infrastructure, Australian National University, he has contributed to cutting-edge research in computational science, collaborating with interdisciplinary teams. His strong analytical skills, programming expertise, and deep understanding of molecular dynamics simulations enable him to solve complex scientific problems. Dr. Vasilyev’s ability to integrate computational tools with experimental chemistry makes him a valuable contributor to advancements in computational chemistry and material science.

Conclusion

Dr. Vladislav Vasilyev is a highly qualified and experienced computational chemist with a strong background in physical and computational chemistry. His long-standing research contributions and international collaborations make him a strong candidate for the Best Researcher Award. However, to improve his nomination, he should provide more details on his publications, citations, research impact, funding, and recognitions. If these areas are well-documented, he would be an excellent choice for the award.

Publications Top Noted

  • Online complete basis set limit extrapolation calculator

    • Author(s): V. Vasilyev
    • Year: 2017
    • Citations: 68
    • Journal: Computational and Theoretical Chemistry 1115, 1-3
  • A combined quantum chemical/molecular mechanical study of hydrogen‐bonded systems

    • Author(s): V.V. Vasilyev, A.A. Bliznyuk, A.A. Voityuk
    • Year: 1992
    • Citations: 65
    • Journal: International Journal of Quantum Chemistry 44 (5), 897-930
  • Tetrahedral intermediate formation in the acylation step of acetylcholinesterases. A combined quantum chemical and molecular mechanical model

    • Author(s): V.V. Vasilyev
    • Year: 1994
    • Citations: 64
    • Journal: Journal of Molecular Structure: THEOCHEM 304 (2), 129-141
  • Modeling of adsorption properties of zeolites: correlation with the structure

    • Author(s): A. Goursot, V. Vasilyev, A. Arbuznikov
    • Year: 1997
    • Citations: 53
    • Journal: The Journal of Physical Chemistry B 101 (33), 6420-6428
  • Methylation of zebularine: a quantum mechanical study incorporating interactive 3D pdf graphs

    • Author(s): L. Selvam, V. Vasilyev, F. Wang
    • Year: 2009
    • Citations: 48
    • Journal: The Journal of Physical Chemistry B 113 (33), 11496-11504
  • Application of semiempirical quantum chemical methods as a scoring function in docking

    • Author(s): V. Vasilyev, A. Bliznyuk
    • Year: 2004
    • Citations: 46
    • Journal: Theoretical Chemistry Accounts 112, 313-317
  • Effect of cholesterol on the physical properties of pulmonary surfactant films: atomic force measurements study

    • Author(s): Z. Leonenko, E. Finot, V. Vassiliev, M. Amrein
    • Year: 2006
    • Citations: 37
    • Journal: Ultramicroscopy 106 (8-9), 687-694
  • Relationships between the structure of a zeolite and its adsorption properties

    • Author(s): A. Arbuznikov, V. Vasilyev, A. Goursot
    • Year: 1998
    • Citations: 36
    • Journal: Surface Science 397 (1-3), 395-405
  • Towards interactive 3D graphics in chemistry publications

    • Author(s): V. Vasilyev
    • Year: 2010
    • Citations: 18
    • Journal: Theoretical Chemistry Accounts 125, 173-176
  • Determination of the effective dielectric constant from the accurate solution of the Poisson equation

    • Author(s): V. Vasilyev
    • Year: 2002
    • Citations: 18
    • Journal: Journal of Computational Chemistry 23 (13), 1254-1265
  • Ferrocene orientation determined intramolecular interactions using energy decomposition analysis

    • Author(s): F. Wang, S. Islam, V. Vasilyev
    • Year: 2015
    • Citations: 14
    • Journal: Materials 8 (11), 7723-7737
  • A fast pairwise evaluation of molecular surface area

    • Author(s): V. Vasilyev, E.O. Purisima
    • Year: 2002
    • Citations: 10
    • Journal: Journal of Computational Chemistry 23 (7), 737-745