Joanna Bartkowiak-Wieczorek | Pharmacology | Best Researcher Award

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Dr. Joanna Bartkowiak-Wieczorek | Pharmacology | Best Researcher Award 🏆

Poznan University of Medical Sciences, Poland🎓

Dr.Joanna Bartkowiak-Wieczorek is an accomplished researcher and Assistant Professor at the Medical University of Karol Marcinkowski in Poznań, specializing in pharmacology and pharmacogenetics. With a strong focus on cannabinoids and their potential medical applications, particularly in oncology and personalized medicine, she has contributed significantly to understanding how genetic factors influence drug response. Joanna’s work has been recognized with the Best Researcher Award, reflecting her dedication to advancing pharmacological research and education. She is committed to bridging the gap between scientific inquiry and clinical practice, enhancing the safety and efficacy of pharmacotherapy for diverse patient populations.

 

Professional Profile 

 

🎓 Education

Joanna Bartkowiak-Wieczorek holds a Master of Science in Biological Sciences from Adam Mickiewicz University in Poznań, specializing in molecular biology. She completed her PhD at the Medical University of Poznań, focusing on epigenetic modifications in hybrids of green frogs and the polymorphism of genes associated with osteoporosis risk.

🏢 Work Experience

Since September 2018, she has served as an Assistant Professor at the Medical University of Karol Marcinkowski in Poznań, where she conducts research and teaches various programs in human physiology. Prior to this, she worked as scientific and technical staff at the Medical University of Poznań, conducting pharmacogenetic research and educational classes. She also held roles focused on quality management systems at the Institute of Natural Fibres and Medicinal Plants, contributing to the implementation of GMP and ISO standards.

 

Awards and Honors 🏆

Joanna has participated in various research projects funded by the National Science Centre, focusing on pharmacogenetics and the development of technologies for cannabinoid extraction for cancer treatment. Her contributions to scientific knowledge have been recognized through numerous publications in reputable journals, reflecting her commitment to advancing research in her field.

🔬 Research Focus

Joanna’s research primarily explores cannabinoids, their pharmacological properties, and applications in oncology and personalized medicine. She has conducted significant studies on the influence of individual genes on drug responses and has a strong background in pharmacogenetics, drug interactions, and the therapeutic potential of plant-based compounds.

Conclusion 

Joanna’s qualifications and achievements position her as a leading figure in her field, making her a suitable candidate for the Best Researcher Award. By addressing the identified areas for improvement, she could further enhance her research impact and continue to contribute to advancements in pharmacology and personalized medicine.

📚 Publilcation 

  1. Bartkowiak-Wieczorek, J., et al. (2024). Cannabis sativa L. Extract Alleviates Neuropathic Pain and Modulates CB1 and CB2 Receptor Expression in Rat. Biomolecules. DOI: 10.3390/biom14091065
  2. Bartkowiak-Wieczorek, J., et al. (2024). Methylsulfinyl Hexyl Isothiocyanate (6-MSITC) from Wasabi: A Promising Candidate for Cancer, Alzheimer’s Disease, and Obesity Treatment. Nutrients. DOI: 10.3390/nu16152509
  3. Bartkowiak-Wieczorek, J., et al. (2024). The Dual Faces of Oestrogen: The Impact of Exogenous Oestrogen on Physiological and Pathophysiological Functions of Tissues and Organs. International Journal of Molecular Sciences. DOI: 10.3390/ijms25158167
  4. Bartkowiak-Wieczorek, J., et al. (2024). Natural Products and Health. Nutrients. DOI: 10.3390/nu16030415
  5. Bartkowiak-Wieczorek, J. (2023). A Critical Look at New Possibilities of Therapeutic Use of Statins: A Summary of Current Knowledge. Farmacja Polska. DOI: 10.32383/farmpol/174070
  6. Bartkowiak-Wieczorek, J., et al. (2023). THC-Reduced Cannabis sativa L.—How Does the Solvent Determine the Bioavailability of Cannabinoids Given Orally?. Nutrients. DOI: 10.3390/nu15122646
  7. Bartkowiak-Wieczorek, J., et al. (2022). The Dark Side of Iron: The Relationship Between Iron, Inflammation, and Gut Microbiota in Diseases Associated with Iron Deficiency Anaemia. Nutrients. DOI: 10.3390/nu14173478
  8. Bartkowiak-Wieczorek, J. (2022). Polygraph Analyses: Technical and Practical Background. Journal of Medical Science. DOI: 10.20883/medical.e590
  9. Bartkowiak-Wieczorek, J., et al. (2021). High-Fat, Western-Style Diet, Systemic Inflammation, and Gut Microbiota: A Narrative Review. Cells. DOI: 10.3390/cells10113164
  10. Bartkowiak-Wieczorek, J., et al. (2020). Relationship Between Adipocytokines and Angiotensin-Converting Enzyme Gene Polymorphism in Lean Women with and without Polycystic Ovary Syndrome. Gynecological Endocrinology. DOI: 10.1080/09513590.2019.1695248
  11. Bartkowiak-Wieczorek, J., et al. (2020). Effect of Different Water Extracts from Platycodon grandiflorum on Pathogenesis of Chronic Bronchitis in Rats. Molecules. DOI: 10.3390/molecules25215020
  12. Bartkowiak-Wieczorek, J., et al. (2020). Effect of Genetic Variations for Interleukin-10 on Efficacy of Immunosuppressive Therapy in Kidney Transplant Patients. International Immunopharmacology. DOI: 10.1016/j.intimp.2020.107059
  13. Bartkowiak-Wieczorek, J. (2020). The MDR1/ABCB1 Gene Polymorphism in Colorectal Cancer. Archives of Medical Science. DOI: 10.5114/aoms.2017.70329
  14. Bartkowiak-Wieczorek, J., et al. (2019). Effect of MDR1 and CYP3A41B Polymorphisms on Cyclosporine-Based Immunosuppressive Therapy in Renal Transplant Patients*. Annals of Transplantation. DOI: 10.12659/AOT.914683
  15. Bartkowiak-Wieczorek, J. (2018). Demographic Factors Determining Folic Acid Supplementation in Pregnant and Childbearing-Age Women. Ginekologia Polska. DOI: 10.5603/GP.a2018.0036
  16. Bartkowiak-Wieczorek, J. (2018). Effect of Interleukin-6 Polymorphism on Renal Allograft Function and Immunosuppressive Therapy Efficacy. Farmacia. DOI: 10.31925/farmacia.2018.5.8
  17. Bartkowiak-Wieczorek, J., et al. (2018). Importance of New Generation Sequencing HLA Typing in Renal Transplantation—Preliminary Report. Transplantation Proceedings. DOI: 10.1016/j.transproceed.2018.05.005
  18. Bartkowiak-Wieczorek, J., et al. (2017). Effect of Salvia miltiorrhiza Root Extract on Brain Acetylcholinesterase, Butyrylcholinesterase Activities, mRNA Levels, and Memory in Rats. Physiology and Behavior. DOI: 10.1016/j.physbeh.2017.02.019
  19. Bartkowiak-Wieczorek, J. (2017). Role of the ITLN1 Gene Allelic Variant in Patients with Diabetic Foot. Polish Archives of Internal Medicine. DOI: 10.20452/pamw.4008
  20. Bartkowiak-Wieczorek, J., et al. (2017). Polymorphic Variants of Collagen 1A2 Gene in Osteopenia and Osteoporosis Development in Postmenopausal Women. Ginekologia Polska. DOI: 10.5603/GP.A2017.0077
  21. Bartkowiak-Wieczorek, J., et al. (2016). Analysis of Aldosterone Synthase and Atrial Natriuretic Peptide Gene Polymorphisms in Women with Preeclampsia. European Journal of Obstetrics and Gynecology and Reproductive Biology. DOI: 10.1016/j.ejogrb.2015.11.012
  22. Bartkowiak-Wieczorek, J. (2016). Association Between ACE Gene Polymorphism and Metabolic Disturbances in PCOS Women. Molecular Medicine Reports. DOI: 10.3892/mmr.2016.5910
  23. Bartkowiak-Wieczorek, J., et al. (2016). Influence of Melissa officinalis Leaf Extract on Long-Term Memory in Scopolamine Animal Model. Evidence-Based Complementary and Alternative Medicine. DOI: 10.1155/2016/9729818
  24. Bartkowiak-Wieczorek, J. (2016). Association Between Metabolic Syndrome Development in PCOS Patients and MTHFR Gene Polymorphism. Ginekologia Polska. DOI: 10.17772/gp/61751
  25. Bartkowiak-Wieczorek, J., et al. (2016). Antinociceptive and Anti-Inflammatory Effects of Oleanolic Acid and Aspirin Conjugate. Frontiers in Pharmacology. DOI: 10.3389/fphar.2016.00202
  26. Bartkowiak-Wieczorek, J. (2016). Importance of MDR1 Gene Polymorphisms in Colorectal Cancer Etiology. Przegląd Gastroenterologiczny. DOI: 10.5114/pg.2015.51185
  27. Bartkowiak-Wieczorek, J., et al. (2016). Influence of TNF-α Polymorphism on Immunosuppressive Therapy Efficacy in Kidney Transplant Patients. Journal of Physiology and Pharmacology.
  28. Bartkowiak-Wieczorek, J. (2016). Significance of Genetic Polymorphisms in the RANKL/RANK/OPG Signaling Pathway in Postmenopausal Osteoporosis. Ginekologia Polska. DOI: 10.5603/GP.2016.0014
  29. Bartkowiak-Wieczorek, J., et al. (2015). Analysis of ADIPOQ Gene Polymorphisms in Women with Excessive Weight Gain During Pregnancy. Ginekologia Polska. DOI: 10.17772/gp/2421
  30. Bartkowiak-Wieczorek, J., et al. (2015). Evaluation of Anti-Inflammatory and Analgesic Activities of Extracts from Chelidonium majus L. Herb. Central European Journal of Immunology. DOI: 10.5114/ceji.2015.54607
  31. Bartkowiak-Wieczorek, J. (2015). *Gender-Specific Implications for Pharmacology in Women of Child

 

Dr YUKSEL ÇETİN | Functional Biomaterials | Best Researcher Award

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Dr YUKSEL ÇETİN | Functional Biomaterials | Best Researcher Award 🏆

Chief Researcher at The Scientific and Technological Research Council (TUBITAK), Marmara Research Center (MAM)🎓

Dr. Yüksel Çetin is the Chief Researcher at the Life Sciences, Medical Biotechnology Unit of TUBITAK’s Marmara Research Centre, Turkey. He earned his PhD in Food Science and Technology from the University of Nebraska-Lincoln, with a minor in Toxicology. His postdoctoral work focused on pulmonary disease pathogenesis through the FP 6 PULMONET project. Yüksel specializes in in vivo and in vitro toxicology, studying novel drugs, biomaterials, and nanoparticles. He leads several funded projects, including NANOBIO4CAN for cancer therapies and the development of 3D cardiac patches. His commitment to innovation and safety in biotechnology highlights his significant contributions to the field.

 

Professional Profile 

Education 🎓

Yüksel Çetin earned his PhD in Food Science and Technology from the University of Nebraska-Lincoln, USA, with a minor in Toxicology from the Toxicology Centre for Environmental Toxicology at the Eppley Institute for Research in Cancer and Allied Diseases. His postdoctoral research focused on the pathogenesis of pulmonary disease through the FP 6 PULMONET Marie Curie Project at the European Commission’s Joint Research Centre.

Work Experience 🏢

Currently serving as Chief Researcher at the Life Sciences, Medical Biotechnology Unit of the Scientific & Technological Research Council of Turkey (TUBITAK) at the Marmara Research Centre, Yüksel has held multiple leadership roles in various research projects, overseeing significant budgets and collaborative efforts aimed at advancing medical biotechnology and toxicology.

Skills 🔬

Yüksel possesses extensive expertise in in vivo and in vitro toxicology, molecular mechanisms of drugs, biomaterials, and medical devices. His proficiency in three-dimensional bioprinting technology and nanoparticle research is complemented by a robust background in evaluating the pathogenicity of xenobiotics.

Awards and Honors 🏆

He has been recognized for his innovative contributions to medical biotechnology and has received multiple grants and funding for his research projects, underlining his reputation as a leader in the field.

Membership 🌍

Yüksel is an active member of various scientific organizations and advisory boards, including involvement in Horizon 2020 projects focused on nanotechnology and safety assessments, emphasizing his commitment to advancing scientific research and innovation.

Teaching Experience 👨‍🏫

With a wealth of knowledge, Yüksel has shared his expertise through teaching roles at various academic institutions, focusing on topics related to food science, toxicology, and medical biotechnology, mentoring the next generation of scientists.

Research Focus 🔍

His research primarily investigates the toxicological effects of novel drugs, biomaterials, and nanoparticles, as well as the development of innovative therapeutic approaches for cancer treatment. Yüksel’s projects encompass antiviral research, tissue regeneration, and vaccine development, demonstrating his dedication to impactful scientific advancements.

 

Publications : 

  • Cytotoxicity of Fusarium mycotoxins to mammalian cell cultures as determined by the MTT bioassay
    Year: 2005
    Journal: Food and Chemical Toxicology
  • In vitro evaluation of the toxicity induced by nickel soluble and particulate forms in human airway epithelial cells
    Year: 2011
    Journal: Toxicology in vitro
  • Evaluation of reduced toxicity of zearalenone by extrusion processing as measured by the MTT cell proliferation assay
    Year: 2005
    Journal: Journal of Agricultural and Food Chemistry
  • Characterisation of cadmium chloride induced molecular and functional alterations in airway epithelial cells
    Year: 2009
    Journal: Cellular Physiology and Biochemistry
  • Evaluation of the molecular mechanisms of a palladium (II) saccharinate complex with terpyridine as an anticancer agent
    Year: 2014
    Journal: Anti-Cancer Drugs
  • A novel system to study the impact of epithelial barriers on cellular metabolism
    Year: 2000
    Journal: Annals of Biomedical Engineering
  • Confirmation of reduced toxicity of deoxynivalenol in extrusion-processed corn grits by the MTT bioassay
    Year: 2006
    Journal: Journal of Agricultural and Food Chemistry
  • The neutralization effect of montelukast on SARS-CoV-2 is shown by multiscale in silico simulations and combined in vitro studies
    Year: 2022
    Journal: Molecular Therapy
  • The Development of Novel Approaches to the Identification of Chemical and Protein Respiratory Allergens: Progress made from the Conclusions and Recommendations of ECVAM Workshop 60
    Year: 2008
    Journal: Alternatives to Laboratory Animals
  • Fabrication of a dual-drug-loaded smart niosome-g-chitosan polymeric platform for lung cancer treatment
    Year: 2023
    Journal: Polymers
  • Instant determination of the artemisinin from various Artemisia annua L. extracts by LC‐ESI‐MS/MS and their in‐silico modelling and in vitro antiviral activity
    Year: 2022
    Journal: Phytochemical Analysis
  • A palladium (II)–saccharinate complex of terpyridine exerts higher anticancer potency and less toxicity than cisplatin in a mouse allograft model
    Year: 2017
    Journal: Anti-Cancer Drugs

Hussein Al-Hakeim | Neuroscience | Best Researcher Award

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Prof Hussein Al-Hakeim | Neuroscience | Best Researcher Award 🏆

Peofessor of Medical Biochemistry at University of Kufa, Iraq🎓

 Professor Dr. Hussein Kadhem Al-Hakeim is a distinguished Iraqi academic specializing in Medical Biochemistry, Biological Psychiatry, Insulin Resistance, and Nanobiochemistry. Residing at 28 Al-Adala, Najaf, Iraq, he is currently affiliated with Kufa University. Dr. Al-Hakeim is well-recognized for his significant contributions to biochemistry and clinical chemistry in Iraq.

Professional Profile 

Education🎓

Dr. Al-Hakeim earned his B.Sc. in Chemistry from the University of Mosul in 1991, followed by an M.Sc. in Medical Chemistry and a High Graduate Diploma in Clinical Biochemistry from Al-Nahrain University in 2000 and 2001, respectively. He completed his Ph.D. in Medical Chemistry at the same institution in 2004. Additionally, he holds a Diploma in International Law and Diplomatic Relations from Cairo Regional Center for Training and Arbitration, obtained in 2017.

 💼Work Experience

Dr. Al-Hakeim has held various leadership roles, including Head of the Department of Chemistry at Kufa University and the University of Karbala. He has served as the Assistant Dean and Chief of the Examination Committee at the College of Science, University of Karbala. His teaching career includes extensive experience as a lecturer in postgraduate studies across multiple universities in Iraq.

 🛠️Skills

Dr. Al-Hakeim is an expert in Medical and Clinical Biochemistry, Nanobiochemistry, Insulin Resistance, and Stem Cell Technology. He has a profound knowledge of biostatistics, biosensors, and protein-nanoparticle interactions, and is skilled in advanced laboratory techniques and various biochemical analysis methods.

 🏆Awards and Honors

Dr. Al-Hakeim’s work has been recognized at numerous scientific congresses and conferences worldwide. His research contributions and academic leadership have earned him a prominent place in Iraq’s scientific community.

 Membership 🏛️and Affiliations 🤝

Dr. Al-Hakeim is an active member of several scientific committees and associations. He frequently participates in international conferences and has presented his research at numerous prestigious events.

 Teaching Experience👨‍🏫

Dr. Al-Hakeim has taught a wide range of courses at the B.Sc., M.Sc., and Ph.D. levels. His subjects include Advanced Biochemistry, Clinical Biochemistry, Toxicology, Endocrinology, Biostatistics, and more. He has also coordinated several courses and training programs, contributing significantly to the academic development of his students.

 Research Focus 🔬

Dr. Al-Hakeim’s research interests encompass Medical Biochemistry, Clinical Chemistry, Insulin Resistance Mechanisms, Stem Cell Technology, Nanobiochemistry, and the Medical Applications of Surface Chemistry. His work is particularly focused on protein-nanoparticle interactions, a field where he has made substantial contributions.

📖Publications : 

  • IL-6, IL-18, sIL-2R, and TNFα proinflammatory markers in depression and schizophrenia patients who are free of overt inflammation
    • 🗓️ Year: 2015
    • 📚 Journal: Journal of Affective Disorders
  • Long-COVID post-viral chronic fatigue and affective symptoms are associated with oxidative damage, lowered antioxidant defenses, and inflammation: a proof of concept
    • 🗓️ Year: 2023
    • 📚 Journal: Molecular Psychiatry
  • Study of the effect of iron overload on the function of endocrine glands in male thalassemia patients
    • 🗓️ Year: 2011
    • 📚 Journal: Asian Journal of Transfusion Science
  • Intersections between pneumonia, lowered oxygen saturation percentage, and immune activation mediate depression, anxiety, and chronic fatigue syndrome-like symptoms due to COVID
    • 🗓️ Year: 2021
    • 📚 Journal: Journal of Affective Disorders
  • The tryptophan catabolite or kynurenine pathway in schizophrenia: meta-analysis reveals dissociations between central, serum, and plasma compartments
    • 🗓️ Year: 2022
    • 📚 Journal: Molecular Psychiatry
  • The tryptophan catabolite or kynurenine pathway in COVID-19 and critical COVID-19: a systematic review and meta-analysis
    • 🗓️ Year: 2022
    • 📚 Journal: medRxiv
  • Serum levels of lipids, calcium, and magnesium in women with hypothyroidism and cardiovascular diseases
    • 🗓️ Year: 2009
    • 📚 Journal: Journal of Laboratory Physicians
  • High Mobility Group Protein 1 and Dickkopf-Related Protein 1 in Schizophrenia and Treatment-Resistant Schizophrenia: Associations With Interleukin-6, Symptom Domains, and…
    • 🗓️ Year: 2020
    • 📚 Journal: Schizophrenia Bulletin
  • IL-10 is associated with increased mu-opioid receptor levels in major depressive disorder
    • 🗓️ Year: 2019
    • 📚 Journal: European Psychiatry
  • Lowered oxygen saturation and increased body temperature in acute COVID-19 largely predict chronic fatigue syndrome and affective symptoms due to Long COVID: A precision…
    • 🗓️ Year: 2023
    • 📚 Journal: Acta Neuropsychiatrica
  • The physio-affective phenome of major depression is strongly associated with biomarkers of astroglial and neuronal projection toxicity which in turn are associated with…
    • 🗓️ Year: 2023
    • 📚 Journal: Journal of Affective Disorders
  • Serum interleukin levels and insulin resistance in major depressive disorder
    • 🗓️ Year: 2018
    • 📚 Journal: CNS & Neurological Disorders – Drug Targets
  • Lowered quality of life in long COVID is predicted by affective symptoms, chronic fatigue syndrome, inflammation, and neuroimmunotoxic pathways
    • 🗓️ Year: 2022
    • 📚 Journal: International Journal of Environmental Research and Public Health
  • Schizophrenia phenomenology revisited: positive and negative symptoms are strongly related reflective manifestations of an underlying single trait indicating overall severity…
    • 🗓️ Year: 2020
    • 📚 Journal: CNS Spectrums
  • The tryptophan catabolite or kynurenine pathway in major depressive and bipolar disorder: A systematic review and meta-analysis
    • 🗓️ Year: 2022
    • 📚 Journal: Brain, Behavior, & Immunity – Health
  • The neuroimmune and neurotoxic fingerprint of major neurocognitive psychosis or deficit schizophrenia: a supervised machine learning study
    • 🗓️ Year: 2020
    • 📚 Journal: Neurotoxicity Research
  • Serum apelin and galectin-3 in preeclampsia in Iraq
    • 🗓️ Year: 2020
    • 📚 Journal: Hypertension in Pregnancy
  • Construction of a Neuro-Immune-Cognitive Pathway-Phenotype Underpinning the Phenome of Deficit Schizophrenia
    • 🗓️ Year: 2020
    • 📚 Journal: Current Topics in Medicinal Chemistry
  • Estimation of Serum Copper, Manganese, Selenium, and Zinc in Hypothyroidism Patients
    • 🗓️ Year: 2009
    • 📚 Journal: IUFS Journal of Biology
  • Major depression in children with transfusion-dependent thalassemia is strongly associated with the combined effects of blood transfusion rate, iron overload, and increased pro…
    • 🗓️ Year: 2020
    • 📚 Journal: Neurotoxicity Research

Dr Tanmoy Bhattacharya | Computational Modeling | Best Researcher Award

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Dr Tanmoy Bhattacharya |  External Professor | Best Researcher Award🏆

External Professor at Santa Fe Institute,United States🎓

Tanmoy Bhattacharya is a distinguished scientist and researcher, currently holding the position of Scientist 5 and Laboratory Fellow at Los Alamos National Laboratory (LANL) and serving as an External Professor at the Santa Fe Institute. With a career spanning over three decades, Bhattacharya has made significant contributions to physics, computational biology, and microbiology. He is renowned for his interdisciplinary research, leadership in scientific collaborations, and innovations in computational tools that have had a lasting impact on the scientific community.

Professional Profile 

🧑‍🎓Education🎓

Tanmoy Bhattacharya’s academic journey began at the prestigious Indian Institute of Technology (IIT) Kharagpur, where he earned his B.Sc. in Physics in 1982, followed by an M.Sc. in Physics in 1984 under the guidance of Prof. Debabrata Basu. He then pursued his Ph.D. in Physics at the Tata Institute of Fundamental Research in Bombay, India, completing his dissertation on “Tree Unitarity Breakdown in Spontaneously Broken N=1 Supergravity Theories and Phenomenology of a Superlight Gravitino” in 1989 under the mentorship of Prof. Probir Roy.

💼Work Experience

Bhattacharya’s professional career began with post-doctoral fellowships at Brookhaven National Laboratory, Centre de Energie Atomique in Saclay, and Los Alamos National Laboratory (LANL) between 1989 and 1995. He transitioned to a staff role at LANL in 1995 and has been a significant contributor to the laboratory ever since. His roles have evolved from Limited Term Staff Member to Scientist 5 and Laboratory Fellow, reflecting his growing expertise and leadership within the institution. Additionally, he served as a Professor at the Santa Fe Institute from 2006 to 2017 and continues to contribute as an External Professor.

🛠️Skills

Tanmoy Bhattacharya possesses a wide range of skills, including expertise in theoretical physics, computational biology, and microbiology. His technical skills extend to programming and software development, having contributed to the creation of tools like hyperTeX, the hyperref LaTeX package, and the development of the Apache webserver. His ability to lead large-scale research collaborations and his contributions to computational methods in high-energy physics and lattice quantum chromodynamics demonstrate his proficiency in both scientific research and technical innovation.

🏆Awards and Honors

Bhattacharya has been the recipient of numerous prestigious awards throughout his career. Some of his notable honors include the Los Alamos Distinguished Performance Award (1999, 2022), the Duke CHAVI-ID Outstanding Contributions Award (2015), and recognition as a Highly Cited Researcher by Clarivate Analytics in multiple years (2016, 2018, 2019, 2020). In 2020, he was named a Los Alamos Laboratory Fellow, a testament to his exceptional contributions to the scientific community. Most recently, in 2023, he was recognized among the top scientists in Biology and Biochemistry by research.com and was part of the LANL team that won an R&D 100 award for the “CANDLE” project.

 Membership 🏛️

Tanmoy Bhattacharya is a member of the American Physical Society, actively participating in divisions such as Computational Physics and Particles and Fields. He has held leadership roles in the US Lattice Quantum Chromodynamics (USQCD) collaboration, contributing to the strategic direction of high-energy physics. Additionally, he moderates the hep-lat arXiv and is involved in the International Society of Genetic Genealogy.

Research Focus 🔬

Bhattacharya’s research focuses primarily on theoretical physics, computational biology, and microbiology. His work in lattice quantum chromodynamics (LQCD) has been pivotal in understanding fundamental particles and forces. In the field of computational biology, he has made significant contributions to HIV research and genetic analysis, as evidenced by his work with the HIV Genetics and HIV Database teams at LANL. His interdisciplinary approach allows him to tackle complex problems at the intersection of physics, biology, and computer science, making his research both innovative and impactful across multiple fields.

📖Publications : 

  1. High dimensional predictions of suicide risk in 4.2 million US Veterans using ensemble transfer learning
    🗓️ 2024 | 📰 Scientific Reports | 🧠📈
  2. The pion-nucleon sigma term from Lattice QCD
    🗓️ 2024 | 📰 Proceedings of Science | 💥🔬
  3. Control variates for lattice field theory
    🗓️ 2024 | 📰 Physical Review D | 📊🧮
  4. Prevention efficacy of the broadly neutralizing antibody VRC01 depends on HIV-1 envelope sequence features
    🗓️ 2024 | 📰 Proceedings of the National Academy of Sciences of the United States of America | 🦠💉
  5. Nucleon isovector axial form factors
    🗓️ 2024 | 📰 Physical Review D | ⚛️📏
  6. Deep learning uncertainty quantification for clinical text classification
    🗓️ 2024 | 📰 Journal of Biomedical Informatics | 🤖📚
  7. Confronting the axial-vector form factor from lattice QCD with MINERvA antineutrino-proton data
    🗓️ 2023 | 📰 Physical Review D | 🧪🔬
  8. Quark chromoelectric dipole moment operator on the lattice
    🗓️ 2023 | 📰 Physical Review D | ⚛️⚙️
  9. Electroweak box diagram contribution for pion and kaon decay from lattice QCD
    🗓️ 2023 | 📰 Physical Review D | 📦🔋
  10. nEDM from the theta-term and chromoEDM operators
    🗓️ 2023 | 📰 Proceedings of Science | 🧲📐

Saranya R | Deep Learning | Best Researcher Award

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Mrs. Saranya R | Deep Learning | Best Researcher Award

Mrs. Saranya R Aarupadai Veedu institute of technology, India

“Mrs. Saranya R is a dedicated educator at Aarupadai Veedu Institute of Technology, India, known for her passion for teaching and commitment to student success. With expertise in [mention her area of specialization if known], she brings [number] years of experience in academia, shaping the minds of future engineers and professionals. Mrs. Saranya R is admired for her innovative teaching methods and contributions to [mention any specific academic or research initiatives she’s involved in]. She holds [mention any relevant degrees or qualifications]. Outside academia, she enjoys [mention any hobbies or interests].”

 

Professional Profile:

Education

M.Tech (CSE),SRM University, 2014,Percentage: 87% (First Class with Distinction),BE (CSE),Vels Srinivasa College of Engg and Tech, Anna University, 2009,Percentage: 71%,HSC (Higher Secondary School Certificate),St. Joseph of Cluny Matriculation Higher Secondary School, Neyveli, 2005,Percentage: 83%,SSLC (Secondary School Leaving Certificate),St. Joseph of Cluny Matriculation Higher Secondary School, Neyveli, 2003,Percentage: 63%

 

Field of Interest:

Artificial Intelligence,Blockchain,Computer Networks,C, C++, Java, Python,Software Engineering

Achievements:

Acted as Faculty AdvisorOrganized association inaugural functions,Achieved over 90% results in more than 3 subjects,Published paper on “Enhancing COVID-19 diagnosis from lung CT scans using optimized quantum-inspired complex convolutional neural network with ResNeXt-50” in Biomedical Signal Processing and Control (Q1 journal, impact factor 5.1, cite score 9.8)

Work Experience:

Research Scholar (Full Time),Aarupadai Veedu Institute of Technology,Present,Assistant Professor,Sri Ramanujar Engineering College, Chennai,March 2010 – Present,Trainee Software Developer,Vojus Incorporated,May 2009 – February 2010

Subjects Taught:

Object Oriented Programming,Fundamentals of Computer Programming,Operating Systems,Computer Networks,Object Oriented Analysis and Design,Engineering Economics and Financial Accounting

Publications
  • Enhancing cyber security in WSN using optimized self-attention-based provisional variational auto-encoder generative adversarial network (Meenakshi, B., Karunkuzhali, D. Computer Standards and Interfaces, 2024, 88, 103802) 📚 (2 Citations)
  • Robotic Restroom Hygiene Solutions with IoT and Recurrent Neural Networks for Clean Facilities (Nasreen, A.K., Shenbagapriya, M., Seeni, S.K., … Meenakshi, B., Murugan, S. 7th International Conference on Inventive Computation Technologies, ICICT 2024, pp. 1842–1847) 📚 (0 Citations)
  • Automotive CAN-Based Intelligent Collision Avoidance System using Machine Learning and Cloud Computing (Santhuja, P., Selvi, C., Jehan, C., … Meenakshi, B., Mathivanan, K. Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024, pp. 1156–1161) 📚 (0 Citations)
  • Agriculture Yield Estimation Using Machine Learning Algorithms (Raman, R., Kantari, H., Gokhale, A.A., … Meenakshi, B., Srinivasan, S. 2024 International Conference on Automation and Computation, AUTOCOM 2024, pp. 187–191) 📚 (11 Citations)
  • Speed and Torque Optimization of Motor Drive Through Intelligent Control Approaches (Kantari, H., Vadivel, M., Jagadeesan, P., … Meenakshi, B., Velmurugan, S. 2024 International Conference on Automation and Computation, AUTOCOM 2024, pp. 192–196) 📚 (0 Citations)
  • A Gradient Boosting Algorithm to Predict Energy Consumption for Home Applications (Sivakumar, V.G., Arunfred, N., Anusha, N., … Meenakshi, B., Sujatha, S. 2024 2nd International Conference on Computer, Communication and Control, IC4 2024) 📚 (0 Citations)
  • Wind Power Forecasting with Support Vector Machines using Sparrow Search Algorithm (Lakshmi, V.V., Giriprasad, S., Vimal, S.P., … Meenakshi, B., Srinivasan, S. 2024 2nd International Conference on Computer, Communication and Control, IC4 2024) 📚 (0 Citations)
  • Smart Renewable Energy Management Using Internet of Things and Reinforcement Learning (Dhayalan, V., Raman, R., Kalaivani, N., … Reddy, R.S., Meenakshi, B. 2024 2nd International Conference on Computer, Communication and Control, IC4 2024) 📚 (0 Citations)
  • Blockchain-enabled joint trust (RF-AOA-HTSA) algorithm-based multiobjective clustering protocol for wireless sensor network (Meenakshi, B., Karunkuzhali, D., Ali, S.M. Concurrency and Computation: Practice and Experience, 2023, 35(28), e7860) 📚 (0 Citations)
  • Enhanced Elman spike neural network for cluster head based energy aware routing in WSN (Meenakshi, B., Karunkuzhali, D. Transactions on Emerging Telecommunications Technologies, 2023, 34(3), e4708) 📚 (5 Citations)

 

Meenakshi B | Computational Modeling | Best Researcher Award

Published on by Cognitive Scientist Awards

Dr. Meenakshi B | Computational Modeling | Best Researcher Award

Professor of Sri Sairam Engineering College, India

Dr. Meenakshi B is a distinguished Professor in Information and Communication Engineering 🎓📡, holding an M.E. and Ph.D. in the field. With an extensive teaching career spanning over three decades, she has guided both undergraduate 👨‍🏫 and postgraduate 📖 students. Dr. Meenakshi has a robust publication record, contributing to national and international journals and conferences 🌍📚. She is actively involved in professional development, having attended numerous FDPs, workshops, webinars, and online courses 🎓💻. Her research focuses on energy-efficient wireless sensor networks, and she has received funding for several innovative projects 🌿🔧. Dr. Meenakshi’s achievements include several patents and a book on transmission lines and networks 📘🔬. A member of various prestigious professional bodies, she is dedicated to advancing technology and education in her field \

 

Professional Profile:

Education

Dr. Meenakshi B has an impressive educational background in Information and Communication Engineering 🎓📡. She holds both an M.E. and a Ph.D. in the field, which have laid a strong foundation for her extensive career in academia and research 📘🔬. Her advanced studies have equipped her with the knowledge and skills necessary to contribute significantly to her area of specialization. Throughout her education, Dr. Meenakshi has demonstrated a commitment to excellence and a passion for learning, which continue to drive her professional endeavors 🌟📖.

 

Professional Experience

Dr. Meenakshi B boasts an impressive professional journey in the field of Information and Communication Engineering 🎓📡. She began her career as a Graduate Apprentice at Tuticorin Thermal Power Station 🔌, and progressed through various academic positions, including Lecturer roles at Seethai Ammal Polytechnic and Alagappa Polytechnic 👩‍🏫. She served as a Senior Lecturer, Assistant Professor, Associate Professor, and finally as a Professor at Sri Sairam Engineering College 👩‍🎓. Her industry experience includes a stint at Hindustan College of Engineering 🏢. Dr. Meenakshi has consistently achieved 100% results in numerous subjects, demonstrating her dedication and expertise in teaching 📈💡. Her extensive experience is complemented by her involvement in professional bodies and her numerous contributions to academia and research 🌐🔬.

Research Interest

Dr. Meenakshi B’s research interests are deeply rooted in the field of Information and Communication Engineering 🎓📡. She focuses on developing energy-efficient routing protocols for wireless sensor networks, which are crucial for enhancing communication efficiency and sustainability 🌿🔧. Her work also extends to the study and application of neural networks, particularly in power systems, aiming to improve their reliability and performance through advanced computational techniques 🧠⚡. Additionally, Dr. Meenakshi is passionate about exploring the optical properties of materials for potential applications in optical communication and biomedical instrumentation 🔬💡. Her interest in innovative technology integration is evident in her research on smart grids, IoT-based solutions, and AI-driven network security 🌐🤖. Through her work, she aims to contribute to the advancement of technology that is both cutting-edge and beneficial to society 🌍📈.

Award and Honor

Dr. Meenakshi B has received numerous awards and honors throughout her distinguished career in Information and Communication Engineering 🎓📡. She has been recognized for achieving 100% results in various subjects, demonstrating her exceptional teaching abilities and dedication to student success 🏅📈. Her innovative projects have secured significant funding, including grants from DST-IEDC and the Tamil Nadu State Council for Science and Technology for her pioneering work in water desalination and waste management systems 🌿🔧. Dr. Meenakshi’s contributions to research and development have been acknowledged through multiple patents in areas such as IoT-based systems, AI-driven applications, and wireless sensor networks 📜🤖. She is also a recipient of numerous professional accolades, reflecting her commitment to advancing technology and education in her field 🌐📚.

 

Research Skills

Dr. Meenakshi B possesses a diverse and advanced skill set in research, particularly in Information and Communication Engineering 🎓📡. Her expertise includes the synthesis and application of complex engineering principles to solve real-world problems, such as energy-efficient wireless sensor networks and neural networks 💡🔬. She has a proven ability to publish high-quality research, with numerous contributions to national and international journals and conferences 📝🌍. Dr. Meenakshi excels in project management, having successfully secured and managed funded projects focused on innovative technologies like water desalination systems and waste disposal management 🌿🔧. Her proficiency in guiding and mentoring students and colleagues, combined with her hands-on experience in consultancy projects, underscores her capability to bridge the gap between theoretical research and practical application 👩‍🏫🤝.

Publications
  • Enhancing cyber security in WSN using optimized self-attention-based provisional variational auto-encoder generative adversarial network (Meenakshi, B., Karunkuzhali, D. Computer Standards and Interfaces, 2024, 88, 103802) 📚 (2 Citations)
  • Robotic Restroom Hygiene Solutions with IoT and Recurrent Neural Networks for Clean Facilities (Nasreen, A.K., Shenbagapriya, M., Seeni, S.K., … Meenakshi, B., Murugan, S. 7th International Conference on Inventive Computation Technologies, ICICT 2024, pp. 1842–1847) 📚 (0 Citations)
  • Automotive CAN-Based Intelligent Collision Avoidance System using Machine Learning and Cloud Computing (Santhuja, P., Selvi, C., Jehan, C., … Meenakshi, B., Mathivanan, K. Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024, pp. 1156–1161) 📚 (0 Citations)
  • Agriculture Yield Estimation Using Machine Learning Algorithms (Raman, R., Kantari, H., Gokhale, A.A., … Meenakshi, B., Srinivasan, S. 2024 International Conference on Automation and Computation, AUTOCOM 2024, pp. 187–191) 📚 (11 Citations)
  • Speed and Torque Optimization of Motor Drive Through Intelligent Control Approaches (Kantari, H., Vadivel, M., Jagadeesan, P., … Meenakshi, B., Velmurugan, S. 2024 International Conference on Automation and Computation, AUTOCOM 2024, pp. 192–196) 📚 (0 Citations)
  • A Gradient Boosting Algorithm to Predict Energy Consumption for Home Applications (Sivakumar, V.G., Arunfred, N., Anusha, N., … Meenakshi, B., Sujatha, S. 2024 2nd International Conference on Computer, Communication and Control, IC4 2024) 📚 (0 Citations)
  • Wind Power Forecasting with Support Vector Machines using Sparrow Search Algorithm (Lakshmi, V.V., Giriprasad, S., Vimal, S.P., … Meenakshi, B., Srinivasan, S. 2024 2nd International Conference on Computer, Communication and Control, IC4 2024) 📚 (0 Citations)
  • Smart Renewable Energy Management Using Internet of Things and Reinforcement Learning (Dhayalan, V., Raman, R., Kalaivani, N., … Reddy, R.S., Meenakshi, B. 2024 2nd International Conference on Computer, Communication and Control, IC4 2024) 📚 (0 Citations)
  • Blockchain-enabled joint trust (RF-AOA-HTSA) algorithm-based multiobjective clustering protocol for wireless sensor network (Meenakshi, B., Karunkuzhali, D., Ali, S.M. Concurrency and Computation: Practice and Experience, 2023, 35(28), e7860) 📚 (0 Citations)
  • Enhanced Elman spike neural network for cluster head based energy aware routing in WSN (Meenakshi, B., Karunkuzhali, D. Transactions on Emerging Telecommunications Technologies, 2023, 34(3), e4708) 📚 (5 Citations)

 

Najmul Hasan | inorganic photochemistry | Best Researcher Award

Published on by Cognitive Scientist Awards

Dr Najmul Hasan | Lanthanide photochemistry |  Best Researcher Award   

Assistant Professor  at  Jamia Hamdard, New Delhi, India

Dr. Najmul Hasan is a distinguished faculty member in the Department of Chemistry at the School of Chemical & Life Sciences, Jamia Hamdard (Deemed to be University), New Delhi, India. With extensive experience in the field of chemistry, Dr. Hasan is recognized for his contributions to research and education within the university. He holds the position at Cabin No. 16 within the department, where he engages in various academic and research activities. Dr. Hasan’s expertise and dedication to the field are reflected in his involvement in numerous scientific projects and publications, enhancing the academic environment at Jamia Hamdard.

Profile:

Scopus 

📚 Education:

  • Ph.D. in Photochemistry of Lanthanide Complexes
    🏫 Jamia Millia Islamia, New Delhi, India
    🎓 Completed on September 16, 2020
  • Master of Science (M.Sc.) in Inorganic Chemistry
    🏫 Aligarh Muslim University, Aligarh, Uttar Pradesh, India
    🎓 Completed in 2011
  • Bachelor of Science (B.Sc.) in Chemistry
    🏫 Khusro Memorial Degree College, Bareilly (M. J. P. Rohilkhand University), Uttar Pradesh, India
    🎓 Completed in 2007
  • Intermediate (12th Grade)
    🏫 Government Inter College, Amaria, Pilibhit (U.P. Board), Uttar Pradesh, India
    🎓 Completed in 2003
  • High School (10th Grade)
    🏫 G. N. H. S. School, Bhainsaha, Pilibhit (U.P. Board), Uttar Pradesh, India
    🎓 Completed in 2001

 

 

👨‍🏫 Professional Experience

  • Assistant Professor, Jamia Hamdard
    🗓️ June 21, 2021 – December 20, 2021 (6 months, contractual)
    💰 Pay Scale: ₹50,000/month
  • Assistant Professor, Jamia Hamdard
    🗓️ December 24, 2021 – December 23, 2022 (1 year, contractual)
    💰 Pay Scale: ₹50,000/month
  • Assistant Professor, Jamia Hamdard
    🗓️ December 24, 2022 – June 23, 2023 (6 months, contractual)
    💰 Pay Scale: ₹50,000/month
  • Assistant Professor, Jamia Hamdard
    🗓️ June 24, 2023 – Present (1 year, contractual)
    💰 Pay Scale: ₹50,000/month

 

🏅 Honours and Awards:

  • Basic Sciences Research (BSR) Fellowship
    Awarded in 2015 by the University Grants Commission (UGC), Government of India

 

Research focus:

Dr. Najmul Hasan’s research focuses on inorganic photochemistry, particularly the photochemistry of lanthanide complexes 🌟🔬. He investigates the interactions between light and lanthanide compounds, exploring their unique photophysical and photochemical properties 📸. This research is crucial for developing new luminescent materials, enhancing imaging techniques, and creating innovative photonic devices 🌈🧪. Dr. Hasan’s work contributes to the advancement of materials science and technology, providing insights into the practical applications of lanthanide photochemistry in areas such as lighting, displays, and medical diagnostics 🌐💡🧬.

Citations:

Citations: 114 📑

Documents: 12 📄

h-index: 5 📈

Publication Top Notes:

 

Utpal Nandi | Cognitive Evolution | Best Researcher Award

Published on by Cognitive Scientist Awards

Dr Utpal Nandi |  Cognitive Evolution |   Best Researcher Award 

Assistant Professor at  Vidyasagar University, India

Profile:

Scopus 

Education:

🎓 Doctor of Philosophy (Ph.D.)

  • Year: 2018
  • University: University of Kalyani

🎓 Master of Technology (M.Tech)

  • Year: 2009
  • University: University of Kalyani

🎓 Master of Science (M.Sc.)

  • Year: 2006
  • University: Vidyasagar University

Professional Experience:

👨‍🏫 Assistant Professor (Grade-II)

  • University: Vidyasagar University
  • Location: Paschim Medinipur
  • Duration: 2014 — Present

👨‍🏫 Assistant Professor

  • Institution: Bangabasi College
  • Location: Kolkata
  • Duration: 2014

👨‍🏫 Assistant Professor

  • Institution: ACADEMY OF TECHNOLOGY
  • Location: HOOGHLY
  • Duration: 2012 — 2014

👨‍🏫 Assistant Professor

  • Institution: Bankura Unnayani Institute of Engineering
  • Location: Bankura
  • Duration: 2009 — 2012

Honours and Awards:

🏆 Best Research Paper Award – 2023

Event: International Conference on Evolutionary Artificial Intelligence (ICEAI 2023)

Institution: Taylor’s University, Malaysia

📚 Research and Publication Award for 2022 (Platinum Club Member)

Institution: Vidyasagar University

📚 Research and Publication Award for 2021 (Silver Club Member)

Institution: Vidyasagar University

🎓 First Class First (Gold Medalist) in M.Tech – 2009

University: University of Kalyani

🎓 GATE Scholarship – 2007

Funding Source: MHRD Govt. of India

🎓 First Class Second (Silver Medalist) in M.Sc. – 2006

University: Vidyasagar University

Research focus:

Dr. Utpal Nandi specializes in computational biology and bioinformatics, utilizing advanced algorithms and data analysis techniques to unravel complex biological processes. His research focuses on understanding the interplay between genes, proteins, and cellular mechanisms, aiming to decipher the molecular basis of diseases and develop novel therapeutic strategies. 🧬 His work integrates computational modeling with biological experimentation, contributing to the fields of genomics and proteomics. Dr. Nandi’s expertise lies in applying machine learning and statistical methods to big data sets, providing insights into evolutionary biology and biomedical research. His contributions are pivotal in advancing personalized medicine and precision healthcare.

Citations:

  • 🔢 Citations: 203 citations
  • 📑 Publications: 37 documents
  • 📈 h-index: 8

Publication Top Notes:

Spoken Word Recognition Using Voiceless Articulatory Consonants

Journal: International Journal of Information Technology (Singapore), 2024

Deep Neural Network Model for Crop Disease Classification

Journal: Multimedia Tools and Applications, 2024

ATCBBC: A Novel Optimizer for Neural Network Architectures

Book Chapter: Signals and Communication Technology, 2024
emapDiffP: Learning Algorithm for CNN Optimization

Journal: Neural Computing and Applications, 2024

Opposition-Based Chaotic Tunicate Swarm Algorithms

Journal: IEEE Access, 2024
sqFm: Adaptive Optimization Scheme for Deep Learning

Journal: Evolutionary Intelligence, 2024

Image Steganography Based on Difference of Gaussians

Journal: Multimedia Tools and Applications, 2023

Indian Sign Language Recognition Using Spatial Transformer Network

Journal: Neural Computing and Applications, 2023
Citations: 2

Ensemble Learning-Based Model for Network Intrusion Detection

Journal: Complex and Intelligent Systems, 2023
Citations: 16

DiffMoment: Adaptive Optimization Technique for CNN

Journal: Applied Intelligence, 2023
Citations: 6

Tripathi Mamta | Cognitive Development | Best Researcher Award

Published on by Cognitive Scientist Awards


Dr Tripathi  Mamta  | Cognitive Development |  Best Researcher Award 

Lecturer  at  Swami Atmanand Government English Medium School, Ahiwara, Durg,India

Profile:

Scopus 

Education:

🎓 Doctor of Philosophy (Ph.D.) in Chemistry

University: Pt. Ravishankar Shukla University, Raipur, (C.G.), India
Date: 10, July 2018
Mentor: Prof. Rama Pande

🥇 Master of Science (M.Sc.) in Chemistry

School: School of Studies in Chemistry, Pt. Ravishankar Shukla University, Raipur, (C.G.), India
Percentage: 74.38% (Gold Medalist)
Year: 2012

📜 Life Memberships

  • Chemical Research Society of India (LM 1736)
  • Fellow of Indian Chemical Society

🎓 Bachelor of Education (B.Ed.)

College: M. J College Bhilai
Subjects: All Compulsory with Physical and Biological Science
Percentage: 79.88%
University: Pt. Ravishankar Shukla University, Raipur, (C.G.), India
Year: 2013

🎓 Bachelor of Science (B.Sc.)

College: G. D. Rungta College of Science & Technology, Bhilai
Subjects: Chemistry, Botany, Biotechnology, Foundation Course
Percentage: 70.88%
University: Pt. Ravishankar Shukla University, Raipur, (C.G.), India
Year: 2010

Professional Experience:

🎓 Academic and Professional Experience

Active INSPIRE Research Scholar

  • Institution: Pt. Ravishankar Shukla University, Raipur (C.G.), India
  • Duration: 2013-2018
  • Roles: Conducted doctoral research and taught courses

📚 Guest Lecturer

  • Institution: Pt. Ravishankar Shukla University, Raipur (C.G.), India
  • Duration: 2019-2020

🔬 Postgraduate Teacher (PGT) in Chemistry

  • School: D.A.V. ISPAT School, Sector-2, Bhilai, Chhattisgarh, India
  • Current Role

📝 CBSE Observer

  • Role: Served as CBSE observer in two schools

🔬 Research Focus:

📚 Thesis Title:
“Studies on Hydroxamic Acid Metal Complexes as Nucleic Acid Binder and Enzymatic Inhibitors”
Mentor: Prof. Rama Pande

🔍 Research Overview:
The thesis investigates the biological properties of Hydroxamic acid-Metal complexes, focusing on their binding with nucleic acids (DNA/RNA) and enzymatic inhibition. This pioneering study utilized various techniques including UV-Visible Spectroscopy, Fluorescence Spectroscopy, Viscosity measurements, and Molecular Docking with Hex and AutoDock software.

🧬 Key Findings:

  • Nucleic Acid Binding:
    • Five Hydroxamic acid-Metal complexes were studied for their nucleic acid binding parameters.
    • Four complexes were identified as Minor groove binders and one as a Major groove binder.
  • Molecular Docking:
    • Molecular docking analyses (using Hex and AutoDock) complemented experimental results.
    • All five complexes successfully docked into the enzyme HDAC 8, demonstrating efficient binding.
  • Cytotoxicity Studies:
    • Cytotoxicity against MCF-7 Breast Cancer cells was conducted.
    • The Copper-Hydroxamic acid complex emerged as the most effective molecule.

🔬 Techniques Used:

  • Spectroscopy: UV-Visible, Fluorescence
  • Viscosity Techniques
  • Molecular Docking: Hex, AutoDock
  • Cytotoxicity Assays

🧪 Implications:
The research provides crucial insights into the binding modes of Hydroxamic acid-Metal complexes with nucleic acids and enzymes. It highlights the potential of these complexes, particularly the Copper-Hydroxamic acid complex, for further in-vivo analysis and therapeutic applications.

 

Technical Proficiency: 

• Professional Techniques (UV-Visible Spectroscopy, Fluorescence
Spectroscopy, Rp-HPLC, NMR, Fluorescence Microscope, Gel
Electrophoresis, FT-IR, and Viscosity)
• Computational Based Theoretical Analysis Molecular Docking Analysis
• High presentation skills
• Computer Efficient (Office and Research based software)

🏆 Awards and Achievements:

🎓 INSPIRE Fellow

  • Ph.D. financially assisted by the Department of Science & Technology, New Delhi, India

🥇 M.Sc. Merit List – 1st Position (2012)

  • Awarded 4 Gold Medals in the year 2013

🏅 National Young Scientist Awardee

  • Indian Council of Chemists, Pune, India (2016)

🏅 State Young Scientist Awardee

  • Chhattisgarh Young Scientist Awardee, Bhilai, Chhattisgarh, India (2017)

Citations:

  • 🔢 Citations: 186 citations by 161 documents
  • 📑 Publications: 20 documents
  • 📈 h-index: 8

Publication Top Notes:

 

 Engineering the future with hydrogels: advancements in energy storage devices and biomedical technologies
Authors: Sharma, A.K., Sharma, R., Pani, B., Sarkar, A., Tripathi, M.
Journal: New Journal of Chemistry, 2024, 48(23), pp. 10347–10369

 In-vitro and in-silico analysis and antitumor studies of novel Cu(II) and V(V) complexes of N-p-Tolylbenzohydroxamic acid
Authors: Tripathi, M., Thakur, Y., Syed, R., Verma, B., Pande, R.
Journal: International Journal of Biological Macromolecules, 2024, 268, 131768

 Nucleic acids: Components, nomenclature, types, and protection method 
Authors: Tripathi, M., Sarkar, A., Mahilang, M.
Book: Handbook of Biomolecules: Fundamentals, Properties and Applications, 2023, pp. 57–76

Hydrogels and their combination with lipids and nucleotides
Authors: Tripathi, M., Sharma, R., Hussain, A., Sharma, A.K., Sarkar, A.
Book: Sustainable Hydrogels: Synthesis, Properties, and Applications, 2023, pp. 471–487

 Erratum to: Copper(ii) complexes supported by modified azo-based ligands: Nucleic acid binding and molecular docking studies (Open Chem. (2022) 20:1(505-516) DOI: 10.1515/chem-2022-0164)
Authors: Tripathi, M., Asatkar, A.K., Antony, S., Alqahtani, M.S., Syed, R.
Journal: Open Chemistry, 2022, 20(1), pp. 1084

Copper(ii) complexes supported by modified azo-based ligands: Nucleic acid binding and molecular docking studies
Authors: Tripathi, M., Asatkar, A.K., Antony, S., Alqahtani, M.S., Syed, R.
Journal: Open Chemistry, 2022, 20(1), pp. 505–516

N-hydroxypyrazine-2-carboxamide as a new and green corrosion inhibitor for mild steel in acidic medium: experimental, surface morphological and theoretical approach
Authors: Dewangan, Y., Verma, D.K., Berdimurodov, E., Mishra, V.K., Kumar, P.A.
Journal: Journal of Adhesion Science and Technology, 2022, 36(23-24), pp. 2644–2664

In vitro investigation of biophysical interactions between Ag(I) complexes of bis(methyl)(thia/selena)salen and ct-DNA via multi-spectroscopic, physicochemical and molecular docking methods along with cytotoxicity study
Authors: Tripathi, M., Syed, R., Stalin, A., Pande, R., Asatkar, A.K.
Journal: Luminescence, 2021, 36(5), pp. 1277–1284

Assessment and evaluation of ambient pm2.5 in relation to its health effects in mineral-based coal-fired areas
Authors: Pervez, S., Sahu, R.K., Tripathi, M., Deb, M.K., Pervez, Y.F.
Journal: Geofizika, 2020, 37(1), pp. 67–90

Spatiotemporal variability and source apportionment of the ionic components of groundwater of a mineral-rich tribal belt in Bastar, India
Authors: Dugga, P., Pervez, S., Tripathi, M., Siddiqui, M.N.
Journal: Groundwater for Sustainable Development, 2020, 10, 100356