Amit Chougule | Cognitive Neuroscience | Best Researcher Award

Mr Amit Chougule | Cognitive Neuroscience | Best Researcher Award

 

Researcher atĀ Manentia AI, India

 

 

šŸ“š 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. šŸš€šŸ¤–šŸ“Š

Professional Profile:

 

šŸŽ“ 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

šŸ’¼ 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.

šŸ”§ 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

šŸ† 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

šŸ”¬ 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:Ā 

Tripathi Mamta | Cognitive Development | Best Researcher Award


Dr Tripathi Ā Mamta Ā | Cognitive Development | Ā Best Researcher AwardĀ 

Lecturer Ā atĀ  Swami Atmanand Government English Medium School, Ahiwara, Durg,India

Profile:

ScopusĀ 

Education:

šŸŽ“ Doctor of Philosophy (Ph.D.) in Chemistry

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

šŸ„‡ 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

šŸ“œ Life Memberships

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

šŸŽ“ 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

šŸŽ“ 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:

šŸŽ“ 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

šŸ“š Guest Lecturer

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

šŸ”¬ Postgraduate Teacher (PGT) in Chemistry

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

šŸ“ CBSE Observer

  • Role: Served as CBSE observer in two schools

šŸ”¬ Research Focus:

šŸ“š Thesis Title:
ā€œStudies on Hydroxamic Acid Metal Complexes as Nucleic Acid Binder and Enzymatic Inhibitorsā€
Mentor: Prof. Rama Pande

šŸ” 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.

šŸ”¬ 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:Ā 

• 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)

šŸ† Awards and Achievements:

šŸŽ“ INSPIRE Fellow

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

šŸ„‡ M.Sc. Merit List – 1st Position (2012)

  • Awarded 4 Gold Medals in the year 2013

šŸ… National Young Scientist Awardee

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

šŸ… State Young Scientist Awardee

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

Citations:

  • šŸ”¢ Citations: 186 citations by 161 documents
  • šŸ“‘ Publications: 20 documents
  • šŸ“ˆ h-index: 8

Publication Top Notes:

 

Ā 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

Ā 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

Ā Nucleic acids: Components, nomenclature, types, and protection methodĀ 
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

Ā 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