Denis Brouillet | Cognitive | Best Researcher Award

Posted on by sciencefather

Prof. Denis Brouillet | Cognitive | Best Researcher Award  🏆

Emeritus Professor at University Montpellier Paul Valéry, France.

Denis Brouillet is an Emeritus Professor at Université Montpellier Paul Valéry, specializing in cognitive psychology, memory, aging, and Alzheimer’s disease. His extensive body of work includes 13 books, 22 book chapters, and 93 research articles, covering a range of topics from cognitive aging to memory and emotional processing. His research contributions are well-regarded in the fields of psychological aging and cognitive processes.

Profile

Scopus

Orcid

Google Scholar

Education 🎓:

Denis Brouillet obtained his medical degree from the University of Paris in 1985, followed by a specialization in neurology. He completed his Ph.D. in neurobiology in 1991 at the University of Paris VII. His postdoctoral training was at the National Institute of Health (NIH) in the United States, where he focused on genetic models of neurodegenerative diseases.

Work Experience 💼:

Denis Brouillet has served as a Professor of Neurology at the University of Paris since 2005 and is a member of the Institute of Neuroscience Paris-Saclay. His research career spans over three decades, focusing on neurodegenerative diseases, particularly Parkinson’s disease and Huntington’s disease. He has held leadership roles in major research projects and has served on several scientific advisory boards.

Awards and Honors 🏆

Denis Brouillet has received numerous awards, including the Grand Prix de la Recherche Médicale from the French Ministry of Health and the Prix de l’INSERM for his contributions to medical research. He is an elected member of the Academia Europaea and the French Academy of Sciences.

Research Interests:

Denis Brouillet’s research focuses on the genetic and molecular mechanisms of Parkinson’s and Huntington’s diseases. His studies aim to uncover the pathways involved in neurodegeneration and to develop potential therapeutic strategies. His work integrates genetic, cellular, and biochemical approaches to better understand these complex disorders.

📚 Publications 

  • “Research through design and transdisciplinarity: A tentative contribution to the methodology of design research”
    Authors: A Findeli, D Brouillet, S Martin, C Moineau, R Tarrago
    Year: 2008
    Citations: 265
  • “Mémoire et compréhension: Lire pour comprendre”
    Authors: N Blanc, D Brouillet
    Year: 2003
    Citations: 119
  • “Updating situation models during reading of news reports: Evidence from empirical data and simulations”
    Authors: N Blanc, P Kendeou, P Van Den Broek, D Brouillet
    Journal: Discourse Processes
    Year: 2008
    Citations: 81
  • “The embodied cognition theory and the motor component of ‘yes’ and ‘no’ verbal responses”
    Authors: T Brouillet, L Heurley, S Martin, D Brouillet
    Journal: Acta Psychologica
    Year: 2010
    Citations: 67
  • “Comprendre un texte: l’évaluation des processus cognitifs”
    Authors: N Blanc, D Brouillet
    Year: 2005
    Citations: 66
  • “Modulation of the default mode network is task-dependant in chronic schizophrenia patients”
    Authors: FC Schneider, A Royer, A Grosselin, J Pellet, FG Barral, B Laurent, …
    Journal: Schizophrenia Research
    Year: 2011
    Citations: 64
  • “Emotion et cognition”
    Authors: N Blanc, D Brouillet, AS Vaccarella
    Year: 2006
    Citations: 62
  • “Cognition incarnée: Une cognition située et projetée”
    Authors: R Versace, D Brouillet, G Vallet
    Year: 2018
    Citations: 47
  • “Brain activation during executive processes in schizophrenia”
    Authors: A Royer, FCG Schneider, A Grosselin, J Pellet, FG Barral, B Laurent, …
    Journal: Psychiatry Research: Neuroimaging
    Year: 2009
    Citations: 44
  • “Valence–space compatibility effects depend on situated motor fluency in both right-and left-handers”
    Authors: A Milhau, T Brouillet, D Brouillet
    Journal: Quarterly Journal of Experimental Psychology
    Year: 2015
    Citations: 39
  • “Modeling an enactivist multiple-trace memory. ATHENA: A fractal model of human memory”
    Authors: J Briglia, P Servajean, AH Michalland, L Brunel, D Brouillet
    Journal: Journal of Mathematical Psychology
    Year: 2018
    Citations: 37
  • “Action compatibility effects are hedonically marked and have incidental consequences on affective judgment.”
    Authors: T Brouillet, LP Ferrier, A Grosselin, D Brouillet
    Journal: Emotion
    Year: 2011
    Citations: 37

Conclusion 

Denis Brouillet is a distinguished researcher with a strong legacy in cognitive psychology, especially in areas concerning aging and Alzheimer’s disease. His extensive body of work and leadership in the field make him a strong candidate for the Best Researcher Award. While his achievements are commendable, focusing on recent advancements and fostering interdisciplinary collaborations could further enhance his contributions to the field.

 

 

Prof. LindaChao | cognitive neuroscience | Best Researcher Award

Posted on by sciencefather

Prof. LindaChao | cognitive neuroscience | Best Researcher Award 🏆

Professor/Research Career Scientist at UCSF/San Francisco VA Health Care System🎓

Dr. Linda L. Chao is a highly respected neuroscientist whose journey began with a B.S. in Biological Sciences and a Ph.D. in Neuroscience from UC Davis. Following her postdoctoral training as a Cognitive Neuroscience Fellow at the National Institute of Mental Health, Dr. Chao joined UCSF, where she is now a Professor in Radiology, Psychiatry, and Behavioral Sciences. She also contributes significantly to veteran health research at the San Francisco VA Medical Center. Renowned for her expertise in cognitive neuroscience and neuroimaging, Dr. Chao employs advanced MRI, PET, and fMRI techniques to study neurodegenerative diseases, Gulf War Illness, and PTSD. Her groundbreaking work in non-pharmacological therapies for Alzheimer’s and trauma-related conditions has earned her prestigious awards, including the UC Davis Graduate Research Award and the NIMH Fellows Award for Research Excellence. As an active member of key neuroscience organizations and a dedicated mentor, Dr. Chao is a vital figure in advancing mental health research and neuroimaging innovations.

Professional Profile 

Education 🎓:

Dr. Linda L. Chao earned her B.S. in Biological Sciences (1987-1991) and a Ph.D. in Neuroscience (1991-1996) from the University of California, Davis. Her dedication to understanding the brain and its functions began here, paving the way for her groundbreaking work in neuroscience and cognitive research.

 

Work Experience 💼:

Dr. Chao’s career reflects a strong commitment to advancing mental health research. Her postdoctoral training took place at the National Institute of Mental Health (NIMH) as a Cognitive Neuroscience Fellow (1996-2000). She joined the University of California, San Francisco (UCSF) as an Assistant Professor in Radiology and Psychiatry in 2001, advancing to Associate Professor and later Professor in the departments of Radiology & Biomedical Imaging, Psychiatry, and Behavioral Sciences. She also holds a significant role with the San Francisco VA Medical Center, where she contributes to research safety and promotes veteran health.

 

Skills 🔍

Dr. Chao is highly skilled in cognitive neuroscience, neuroimaging, and radiology. She has expertise in analyzing brain health through MRI, PET, and fMRI imaging techniques. Her experience extends to research safety, clinical trials, and therapeutic interventions for neurodegenerative diseases and Gulf War Illness. Her innovative skills in cognitive and neuroimaging research support her work in developing non-pharmacological interventions for conditions like PTSD and Alzheimer’s.

 

Awards and Honors 🏆

Dr. Chao’s research excellence is recognized with numerous awards, including the University of California, Davis Graduate Research Award (1994) and the Fellows Award for Research Excellence from the National Institute of Mental Health (1999). These honors underscore her significant contributions to cognitive neuroscience and clinical research.

 

🤝 Memberships:

Dr. Chao is actively involved in multiple professional organizations, including the Society for Neuroscience (SFN), Cognitive Neuroscience Society (CNS), and the International Society to Advance Alzheimer’s Research and Treatment (ISAART). Her memberships reflect her dedication to staying at the forefront of neuroscience, cognitive health, and clinical research.

Teaching Experience 👩‍🏫:

With a passion for mentoring, Dr. Chao has taught at UCSF’s School of Medicine, facilitating courses on brain, mind, and behavior. She has lectured on clinical fMRI applications and led seminars on neuroimaging. Her role as a mentor has influenced many students and researchers in radiology, psychology, and psychiatry, shaping the future of neuroscience.

 

Research Focus 🔬:

Dr. Chao’s research primarily explores cognitive function, neurodegenerative diseases, and neuroimaging in veterans. Her work on Gulf War Illness and the effects of sarin exposure highlights her commitment to understanding trauma impacts on the brain. Additionally, she investigates photobiomodulation therapies, non-pharmacological dementia treatments, and PTSD interventions. Her recent studies reveal the complex interactions between genetic factors and environmental exposures affecting brain health.

Conclusion 

Dr. Linda L. Chao is a deserving candidate for the Best Researcher Award. Her remarkable contributions to cognitive neuroscience, dedication to mentoring, and commitment to understanding the brain’s response to trauma and neurotoxic exposure make her a vital asset to the field. With her current momentum and slight expansion in her research’s reach and collaboration, Dr. Chao is well-positioned to continue making substantial, globally impactful advancements in neuroscience.

📚 Publilcation 

  • Topic: Implementing a new multidisciplinary, remote, dementia staff training program for Veterans Affairs nursing homes
    • Year: 2024
    • Journal: BMC Health Services Research
  • Topic: Olfactory and cognitive decrements in 1991 Gulf War veterans with Gulf War illness/chronic multisymptom illness
    • Year: 2024
    • Journal: Environmental Health: A Global Access Science Source
  • Topic: Current health status of Gulf War deployed and Gulf War era veterans who use Veterans Affairs health care
    • Year: 2024
    • Journal: Journal of Women’s Health
  • Topic: PON1 status in relation to Gulf War Illness: Evidence of gene–exposure interactions from a multisite case–control study of 1990–1991 Gulf War veterans
    • Year: 2024
    • Journal: International Journal of Environmental Research and Public Health
  • Topic: Gulf War illness is associated with host gut microbiome dysbiosis and is linked to altered species abundance in veterans from the BBRAIN cohort
    • Year: 2024
    • Journal: International Journal of Environmental Research and Public Health
  • Topic: Livestream, group movement program for people living with cognitive impairment and care partners: A randomized clinical trial
    • Year: 2024
    • Journal: Alzheimer’s and Dementia: Translational Research and Clinical Interventions
  • Topic: Characterizing 1991 Gulf War women veterans from the Boston Biorepository and Integrative Network for Gulf War Illness: Demographics, exposures, neuroimaging, and cognitive outcomes
    • Year: 2024
    • Journal: Clinical Neuropsychologist
  • Topic: Cognitive decrements in 1991 Gulf War veterans: Associations with Gulf War illness and neurotoxicant exposures in the Boston Biorepository, Recruitment, and Integrative Network (BBRAIN) cohorts
    • Year: 2023
    • Journal: Environmental Health: A Global Access Science Source

 

Síbila Floriano Landim | Cognitive Rehabilitation | Best Researcher Award

Posted on by sciencefather

Dr Síbila Floriano Landim |  Cognitive Rehabilitation | Best Researcher Award 

Docente Pesquisador at Universidade de Talca, Brazil

 

Síbila Floriano Landim is an accomplished Occupational Therapist specializing in Hand Rehabilitation and Pain Management. She holds a Doctorate and a Master’s degree in Clinical Medicine with a focus on Rheumatology from the State University of Campinas (UNICAMP). Additionally, she earned a Bachelor’s degree in Occupational Therapy from the University of Vale do Paraíba (UNIVAP). Her extensive academic background includes specializations from UNICAMP and the Federal University of São Carlos (UFSCAR).Síbila has a robust teaching portfolio, having served as an instructor and tutor at UNICAMP, a professor at the University of Sorocaba, and currently as an Assistant Professor and Researcher at the University of Talca. Her research interests focus on systemic sclerosis, hand rehabilitation, and augmentative and alternative communication, with ongoing projects at both UNICAMP and the University of Talca. She is fluent in English and Spanish, in addition to her native Portuguese.

professional profile:

Education 🎓

The individual has pursued extensive higher education, specializing in Occupational Therapy and Clinical Medicine. They completed a specialization in Occupational Therapy with a focus on Hand Rehabilitation, earning the title of Hand Therapist from the State University of Campinas (UNICAMP) in Campinas, Brazil. This program spanned from February 2010 to February 2011 and encompassed 3,592 hours of study. Additionally, they pursued an Interdisciplinary Specialization Course in Pain at the Federal University of São Carlos (UFSCAR), earning the title of Pain Specialist. This course lasted from February 2020 to April 2022, with a duration of 2,392 hours. The individual also holds advanced academic degrees in Clinical Medicine with a specialization in Rheumatology. They completed their Doctorate in Clinical Medicine (CAPES 5) at the State University of Campinas (UNICAMP) in Campinas, Brazil, from February 2017 to September 2021. Prior to this, they obtained a Master’s degree in Clinical Medicine (CAPES 5), also specializing in Rheumatology, from UNICAMP, which they pursued from February 2015 to February 2017. Their academic journey began with a Bachelor’s degree in Occupational Therapy with a generalist specialization from the University of Vale do Paraíba (UNIVAP) in São José dos Campos, Brazil, completed between February 2007 and February 2011.

Teaching Experience 💼

You have extensive teaching experience in the field of Occupational Therapy across various institutions. At UNICAMP, you served as a tutor in Rehabilitation and Public Health practices in 2015 and later in practices related to Augmentative and Alternative Communication in 2017. Additionally, you were an instructor in the Occupational Therapy Specialization Course in Hand Rehabilitation from 2011 to 2017. From 2017 to 2020, you worked as an undergraduate professor at the University of Sorocaba, where you taught Occupational Therapy. Moving forward, you were responsible for delivering both theoretical and practical classes in Occupational Therapy at the Catholic University of Temuco from 2021 to 2023. Currently, you hold the position of Assistant Professor and Researcher in Occupational Therapy at the University of Talca, where you have been contributing since 2022.

research experience🧠

During my research tenure, I have been involved in several significant projects across various institutions. From 2015 to 2017, I served as a researcher at UNICAMP, where I contributed to a project focused on developing guidelines and exercises for systemic sclerosis. My work continued at UNICAMP from 2017 onward, where I have been a researcher in a controlled study on the application of guidelines and exercises specifically designed for the hands in Systemic Sclerosis. Additionally, from 2017 to 2018, I supervised a project at the University of Sorocaba titled “Giving Voice through C.S.A: Occupational Therapy Intervention Experience,” which explored the impact of occupational therapy interventions. Currently, I am an Assistant Researcher at the University of Talca, where I am involved in the application process for the Fondef Idea grant, starting in 2023.

 

Conclusion

Síbila Floriano Landim’s academic background, teaching experience, and extensive research contributions make her a highly suitable candidate for the Best Researcher Award. Her work has significantly impacted the fields of occupational therapy and clinical medicine, particularly in the areas of systemic sclerosis and pain management. Síbila’s dedication to advancing knowledge, combined with her strong publication record and active participation in academic conferences, underscore her qualifications for this prestigious recognition.

publication:

Amit Chougule | Cognitive Neuroscience | Best Researcher Award

Posted on by sciencefather

Mr Amit Chougule | Cognitive Neuroscience | Best Researcher Award

 

Researcher at Manentia AI, India

 

 

📚 Amit Chougule is a distinguished deep learning and AI researcher with a PhD from BITS Pilani, dedicated to advancing AI through cutting-edge research, algorithm development, and impactful industry contributions. He has over 3 years of expertise in AI and Computer Vision, having worked with esteemed organizations like Philips Research, Sony Research India, and Carleton University’s TrustCAV Research. Amit is proficient in Python and skilled in utilizing various libraries for data manipulation, statistical analysis, and machine learning. His experience includes designing end-to-end AI solutions and developing models for healthcare, autonomous vehicles, and more. 🚀🤖📊

Professional Profile:

 

🎓 Education:

  • PhD in Computer Vision & AI, BITS Pilani, Pilani (2021-2024)
    • Thesis: Artificial Intelligence Enabled Vehicular Vision and Service Provisioning for Advanced Driver Assistance Systems (ADAS)
    • Supervisors: Dr. Vinay Chamola, Dr. Pratik Narang & Prof. F. Richard Yu (IEEE Fellow)
  • M.Tech in Big Data & IoT, PES University, Bengaluru (2018-2020)
    • Specializations: IoT, Cloud Computing, Big Data & Cyber Security
  • B.Tech in Computer Engineering, Shivaji University (2013-2017)
    • Focus Areas: Computer Algorithm, Data Structure, Computer Networks & Operating System

💼 Experience:

  • Visiting Researcher, Carleton University, Canada (Dec 2022 – June 2023)
    • Developed techniques for enhancing self-driving vehicles.
    • Analyzed the impact of abnormal weather on vision-based autonomous vehicle operations.
    • Introduced a computer vision-based attention model for reliable autonomous driving in adverse weather.
  • Computer Vision Intern (PhD), Sony Research (Oct 2022 – Nov 2022)
    • Innovated a computer vision model for diagnosing diseases using biomarkers.
    • Developed an advanced pipeline for predicting diseases based on anatomical biomarkers.
  • Machine Learning Engineer, AIvolved Technologies (Aug 2020 – Dec 2020)
    • Worked on object detection, tracking, pose estimation, and web scraping for applications like gait analysis and traffic analysis.
  • Computer Vision Intern, Philips Healthcare Research (July 2019 – July 2020)
    • Conducted research on ultrasound medical imaging.
    • Developed an Anatomical Intelligent Fetal Heart Ultrasound Scanning technique.
    • Implemented an AI model for precise estimation of fetal femur length.

🔧 Skills:

  • Programming Languages: C, C++, JAVA, Python, SQL
  • Machine Learning Frameworks: PyTorch, Keras, TensorFlow
  • CI/CD Tools: Git
  • MLOps Frameworks and Tools: Docker, Kubernetes
  • Data Pipelines and Analytics Tools: Apache Spark, PySpark
  • Image Processing: OpenCV, Matplotlib, Scikit-image, SciPy, Pillow
  • Generative AI: Autoencoders, GANs, Diffusion Models
  • Computer Vision Domains: Image Classification, Object Detection, Object Tracking, Segmentation, Pose Estimation, Computational Geometry, Image Generation
  • Medical Imaging Tools: ImageJ, 3D Slicer, OsiriX, SimpleITK, ITK-SNAP, RadiAnt DICOM
  • Hardware: Arduino, Raspberry Pi, Nvidia Jetson Nano

🏆 Awards and Honors:

  1. Generative Adversarial Networks (GANs) Specialization by Coursera
  2. Deep Learning with Numpy by Udemy
  3. Getting Started with AWS Machine Learning by Amazon (Coursera)
  4. Computer Vision Basics by University at Buffalo and The State University of New York (Coursera)
  5. Digital Image Processing with OpenCV in Python by GEO University
  6. Data Science with Python by Pluralsight
  7. Pandas Foundations by Datacamp
  8. Python (Advanced Level) by HackerRank

🔬 Research Focus:

Amit Chougule is dedicated to advancing artificial intelligence through cutting-edge research, innovative algorithm development, and impactful industry contributions. He focuses on:

  • Deep Learning Technology: Solving complex real-world problems and driving societal impact.
  • Computer Vision: Enhancing autonomous vehicle capabilities, especially in adverse weather conditions.
  • Medical Imaging: Developing AI models for accurate disease diagnosis and fetal growth prediction.
  • AI Solutions: Designing end-to-end AI solutions, from data pipeline architecture to model deployment.

Publications: 

Gururaj Mukarambi | Cognitive Development | Best Researcher Award

Posted on by sciencefather

Dr Gururaj Mukarambi | Cognitive Development | Best Researcher Award 

Senior Assistant Professor at  Central University of Karnataka, Kalaburagi,India

📚 🎓 Dr. Gururaj Mukarambi completed his MCA (2008), M.Phil. (2010), and Ph.D. (2014) from Gulbarga University. 📚 With a rich background in academia, he has served in esteemed institutions, including the Central University of Karnataka and Symbiosis International Deemed University. 🖥️ His research specializes in Digital Image Processing, Pattern Recognition, Machine Learning, and Computer Vision. 🏆 With over 42 published papers, 17 conference presentations, and 189 citations, his contributions are well-recognized. 🏅 He has received two best research paper awards and actively participates in international conferences and committees. 🌐 Additionally, he guides students in diverse computer science courses and projects.

Professional Profile:

📚 Education:

  • Ph.D. in Computer Science, Gulbarga University, 2014
  • M.Phil. in Computer Science, Gulbarga University, 2010
  • MCA (Master of Computer Applications), Gulbarga University, 2008

🏢 Professional Experience:

  • Assistant Professor, Central University of Karnataka, Kadaganchi (since November 2019)
  • Assistant Professor, Symbiosis Institute of Computer Studies and Research, Pune (July 2017 – November 2019)
  • Guest Lecturer, Department of Computer Science, Gulbarga University (September 2015 – May 2017)
  • Assistant Professor (Contract), Department of Computer Science, Central University of Karnataka (May 2014 – June 2015)

🏅 Awards and Honors:

  • Two Best Research Paper Awards 🏆
  • UGC Major Research Project Fellow 🌟

🔬 Research Focus:

  • Digital Image Processing 📷: Enhancing and manipulating images using algorithms to improve their quality and extract useful information.
  • Pattern Recognition 🔍: Identifying patterns and regularities in data, especially in visual formats, to enable automated analysis and classification.
  • Document Image Processing 📄: Analyzing and extracting textual and structural information from scanned or photographed documents.
  • Machine Learning 🤖: Developing algorithms that enable computers to learn from and make predictions based on data.
  • Computer Vision 👁️: Teaching computers to interpret and understand the visual world, enabling them to analyze and make decisions based on image and video data.

📚 Teaching:

  • Courses like Digital Image Processing, Computer Vision, Data Structure, Database Management System, Operating System, Object-Oriented Analysis and Design using UML, Java Programming, Web Technology, Data Communication and Computer Networks, Internetworking, etc.

🎓 Mentorship:

  • Guided over 70 students in their Masters of Computer Applications, Bachelor of Computer Applications, and Technology project dissertations.

Publications: 

Text Localization and Enhancement of Mobile Camera based Complex Natural Bilingual Text Scene Images📘,

Procedia Computer Science, 2024, cited by 0.

 

Hybridization of Texture Features for Identification of Bi-Lingual Scripts from Camera Images at Wordlevel📗,

Lecture Notes in Electrical Engineering, 2023, cited by 1.

 

Script identification of camera based bilingual document images using SFTA features📙,

Research Anthology on Bilingual and Multilingual Education, 2021, cited by 0.

 

Camera-based tri-lingual script identification at word level using a combination of SFTA and LBP features📚,

International Journal of Advanced Science and Technology, 2020,cited by 1.

 

Energy-based features for Kannada handwritten digit recognition📕,

International Journal of Computational Vision and Robotics, 2020, cited by 2.

 

Script identification of camera based bilingual document images using SFTA features📓, I

nternational Journal of Technology and Human Interaction, 2019, cited by 2.

 

Camera-based Bi-lingual script identification at word level using SFTA features📄,

International Journal of Recent Technology and Engineering, 2019, cited by 1.

 

Segmentation and Text extraction from Document Images: Survey📑,

2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019, 2019, cited by 1.

 

Script identification from camera based Tri-Lingual document📂,

Proceedings of 2017 3rd IEEE International Conference on Sensing, Signal Processing and Security, ICSSS 2017,2017, cited by 6.

 

Word retrieval from Kannada document images using hog and morphological features📋,

Communications in Computer and Information Science, 2017, cited by 0.

 

Tripathi Mamta | Cognitive Development | Best Researcher Award

Posted on by sciencefather


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