Gururaj Mukarambi | Cognitive Development | Best Researcher Award

Dr Gururaj Mukarambi | Cognitive Development | Best Researcher AwardĀ 

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

šŸ“š šŸŽ“ Dr. Gururaj Mukarambi completed his MCA (2008), M.Phil. (2010), and Ph.D. (2014) from Gulbarga University. šŸ“š With a rich background in academia, he has served in esteemed institutions, including the Central University of Karnataka and Symbiosis International Deemed University. šŸ–„ļø His research specializes in Digital Image Processing, Pattern Recognition, Machine Learning, and Computer Vision. šŸ† With over 42 published papers, 17 conference presentations, and 189 citations, his contributions are well-recognized. šŸ… 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:

šŸ“š 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

šŸ¢ 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)

šŸ… Awards and Honors:

  • Two Best Research Paper Awards šŸ†
  • UGC Major Research Project Fellow 🌟

šŸ”¬ Research Focus:

  • Digital Image Processing šŸ“·: Enhancing and manipulating images using algorithms to improve their quality and extract useful information.
  • Pattern Recognition šŸ”: Identifying patterns and regularities in data, especially in visual formats, to enable automated analysis and classification.
  • Document Image Processing šŸ“„: Analyzing and extracting textual and structural information from scanned or photographed documents.
  • Machine Learning šŸ¤–: Developing algorithms that enable computers to learn from and make predictions based on data.
  • Computer Vision šŸ‘ļø: Teaching computers to interpret and understand the visual world, enabling them to analyze and make decisions based on image and video data.

šŸ“š 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.

šŸŽ“ Mentorship:

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

Publications:Ā 

Text Localization and Enhancement of Mobile Camera based Complex Natural Bilingual Text Scene ImagesšŸ“˜,

Procedia Computer Science, 2024, cited by 0.

 

Hybridization of Texture Features for Identification of Bi-Lingual Scripts from Camera Images at WordlevelšŸ“—,

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

 

Script identification of camera based bilingual document images using SFTA featuresšŸ“™,

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 featuresšŸ“š,

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

 

Energy-based features for Kannada handwritten digit recognitionšŸ“•,

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

 

Script identification of camera based bilingual document images using SFTA featuresšŸ““, I

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

 

Camera-based Bi-lingual script identification at word level using SFTA featuresšŸ“„,

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

 

Segmentation and Text extraction from Document Images: SurveyšŸ“‘,

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

 

Script identification from camera based Tri-Lingual documentšŸ“‚,

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 featuresšŸ“‹,

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

 

Utpal Nandi | Cognitive Evolution | Best Researcher Award

Dr Utpal Nandi | Ā Cognitive Evolution | Ā  Best Researcher AwardĀ 

Assistant Professor at Ā Vidyasagar University,Ā India

Profile:

ScopusĀ 

Education:

šŸŽ“ Doctor of Philosophy (Ph.D.)

  • Year: 2018
  • University: University of Kalyani

šŸŽ“ Master of Technology (M.Tech)

  • Year: 2009
  • University: University of Kalyani

šŸŽ“ Master of Science (M.Sc.)

  • Year: 2006
  • University: Vidyasagar University

Professional Experience:

šŸ‘Øā€šŸ« Assistant Professor (Grade-II)

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

šŸ‘Øā€šŸ« Assistant Professor

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

šŸ‘Øā€šŸ« Assistant Professor

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

šŸ‘Øā€šŸ« Assistant Professor

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

Honours and Awards:

šŸ† Best Research Paper Award – 2023

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

Institution: Taylor’s University, Malaysia

šŸ“š Research and Publication Award for 2022 (Platinum Club Member)

Institution: Vidyasagar University

šŸ“š Research and Publication Award for 2021 (Silver Club Member)

Institution: Vidyasagar University

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

University: University of Kalyani

šŸŽ“ GATE Scholarship – 2007

Funding Source: MHRD Govt. of India

šŸŽ“ 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:

  • šŸ”¢ Citations: 203 citations
  • šŸ“‘ Publications: 37 documents
  • šŸ“ˆ 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


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