Dr. Menghuan Wang | Cognitive Rehabilitation | Young Scientist Award

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Dr. Menghuan Wang | Cognitive Rehabilitation | Young Scientist Award 🏆

Ph.D at Nanjing Normal University ,China🎓

👨‍🔬 Menghuan Wang is a dedicated PhD candidate in the field of neurorehabilitation at Nanjing Normal University, with previous academic affiliations at Nanjing Medical University. His research is centered on enhancing cognitive and motor function through non-invasive brain stimulation and innovative therapies. Wang has focused on impactful treatments for aphasia and stroke patients, as well as those undergoing maintenance hemodialysis.

 

Professional Profile 

Education 🎓:

🎓 PhD Candidate, Nanjing Normal University – Specializing in neurorehabilitation, Wang’s academic training includes expertise in functional near-infrared spectroscopy (fNIRS) and advanced brain stimulation methods such as transcranial magnetic stimulation (TMS) and transcutaneous auricular vagus nerve stimulation (taVNS).

Work Experience 💼:

💼 Research and Innovation – Wang has led and collaborated on significant research projects aimed at improving patient-centered neurorehabilitation, with 15 research publications in both English and Chinese journals. His work has influenced approaches to cognitive function restoration and non-invasive therapeutic techniques.

Skills 🔍

  • Neurorehabilitation Techniques: Proficient in fNIRS, TMS, tES, and taVNS.
  • Patient-Centered Research: Developing therapies for patients with cognitive impairment and motor challenges, focusing on post-stroke recovery and cognitive decline prevention in dialysis patients.
  • Cognitive and Motor Function Restoration: Employing non-invasive brain stimulation to achieve measurable rehabilitation outcomes.

Awards and Honors 🏆

🏆 Award Nominee – Menghuan Wang is nominated for the Young Scientist Award and Best Researcher Award, recognizing his substantial contributions to cognitive science and neurorehabilitation. His work has garnered citations and recognition, particularly within Chinese and international scientific communities.

🤝 Memberships:

🤝 Professional Affiliations

  • Member, Branch of Cognitive Neurobiology, Chinese Neuroscience Society
  • Member, Chinese Association of Rehabilitation Medicine
    These memberships underscore Wang’s active engagement with prominent cognitive and rehabilitation networks.

Teaching Experience 👩‍🏫:

Mentorship and Knowledge Sharing – As an advanced researcher, Wang frequently collaborates with peers, guiding team-based research projects and contributing to knowledge-building within his field.

Research Focus 🔬:

Wang’s research focuses on cognitive neuroscience, neurolinguistics, and neuromodulation, with a particular emphasis on neurorehabilitation. His pioneering studies on taVNS for hemodialysis patients have shown promise in preventing cognitive impairment, offering new paths in non-invasive brain treatments.

Conclusion 

Menghuan Wang’s research contributions make him a compelling candidate for the Young Scientist Award. His innovative use of non-invasive neuromodulation techniques in neurorehabilitation reflects both academic rigor and a commitment to patient-centered care. With a growing publication record and substantial clinical relevance, Wang shows strong potential to advance the field of cognitive neuroscience. Further expanding his collaborative and leadership roles could strengthen his profile even further, but his current accomplishments already showcase a high level of scientific achievement and innovation that aligns well with the spirit of the Young Scientist Award.

📚 Publilcation 

  • Transcutaneous Auricular Vagus Nerve Stimulation Combined with Task-Oriented Training to Improve Upper Extremity Function in Post-Stroke Hemiplegia
    • Year: 2024
    • Journal: Chinese Journal of Rehabilitation Medicine (Vol. 39, Issue 6, pp. 782–790)
    • Authors: Wang, M., Kong, Y., Xie, M.
  • ZNF217-Activated Notch Signaling Mediates Sulforaphane-Suppressed Stem Cell Properties in Colorectal Cancer
    • Year: 2024
    • Journal: Journal of Nutritional Biochemistry (Vol. 125, Article 109551)
    • Authors: Wang, M., Tang, L., Chen, S., Li, Y., Chen, Y.
  • Transcutaneous Auricular Vagus Nerve Stimulation Improves Cognitive Decline by Alleviating Intradialytic Cerebral Hypoxia in Hemodialysis Patients: A fNIRS Pilot Study
    • Year: 2024
    • Journal: Heliyon (Article e39841)
    • Authors: Wang, M.-H., Jin, Y.-J., He, M.-F., Li, W.-W., Jiang, Z.-L.
  • Transcutaneous Auricular Vagus Nerve Stimulation with Task-Oriented Training Improves Upper Extremity Function in Patients with Subacute Stroke: A Randomized Clinical Trial
    • Year: 2024
    • Journal: Frontiers in Neuroscience (Vol. 18, Article 1346634)
    • Authors: Wang, M.-H., Wang, Y.-X., Xie, M., Lin, F., Jiang, Z.-L.
  • Diallyl Trisulfide Inhibits Gastric Cancer Stem Cell Properties Through ΔNp63/Sonic Hedgehog Pathway
    • Year: 2023
    • Journal: Molecular Carcinogenesis (Vol. 62, Issue 11, pp. 1673–1685)
    • Authors: Ge, M., Zhu, J., Yi, K., Jiang, Z., Han, H.
  • Transcranial Direct Current Stimulation Improves the Attention and Executive Function in Patients with Maintenance Hemodialysis
    • Year: 2023
    • Journal: Chinese Journal of Rehabilitation Medicine (Vol. 38, Issue 9, pp. 1221–1226)
    • Authors: Chen, L., Wang, M., Li, W.
  • TEADs Serve as Potential Prognostic Biomarkers and Targets for Human Gastric Cancer
    • Year: 2022
    • Journal: BMC Gastroenterology (Vol. 22, Issue 1, Article 308)
    • Authors: Wang, M.-H., Li, B.-Z., Chen, Y., Wang, J.
  • ΔNp63α Mediates Sulforaphane-Suppressed Colorectal Cancer Stem Cell Properties Through Transcriptional Regulation of Nanog/Oct4/Sox2
    • Year: 2022
    • Journal: Journal of Nutritional Biochemistry (Vol. 107, Article 109067)
    • Authors: Chen, Y., Wang, M.-H., Wu, J.-Y., Han, H.-Y., Zhong, C.-Y.
  • TAp63α Targeting of Lgr5 Mediates Colorectal Cancer Stem Cell Properties and Sulforaphane Inhibition
    • Year: 2020
    • Journal: Oncogenesis (Vol. 9, Issue 10, Article 89)
    • Authors: Chen, Y., Wang, M.-H., Zhu, J.-Y., Han, H.-Y., Zhong, C.-Y.

Amit Chougule | Cognitive Neuroscience | Best Researcher Award

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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

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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.

 

Utpal Nandi | Cognitive Evolution | Best Researcher Award

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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

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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