Bhargob Deka | Bayesian machine learning | Best Researcher Award

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🌟Dr. Bhargob Deka, Bayesian machine learning, Best Researcher Award🏆

Doctorate at Polytechnique Montreal, Canada

Professional Profiles:

Bio Summary

AI Research Scientist and Data Scientist with over 4 years of experience in applied probability, statistics, and machine learning. Specialized in Bayesian neural networks, time series modeling, and industrial research. Enthusiastic about AI and continuous learning. Proven track record in developing innovative ML models, leading projects, and collaborating with R&D teams.

Education

Polytechnique Montréal | Sep 2018-Dec 2022

  • Ph.D. in Civil Engineering: Machine Learning Specialization – GPA 4/4.3
  • Research Grant: Hydro Québec, NSERC

McGill University | Sep 2015-Mar 2018

  • M. Eng. in Civil Engineering: Structural Engineering – GPA 3.88/4
  • Research Grant: Graduate Research Assistantship

Assam Engineering College | Aug 2010-June 2014

  • B. Eng. in Civil Engineering: First-Class Honours with 75.78%
  • Research Grant: North-Eastern Council Merit Scholarship

Research Focus

Advanced Machine Learning Research

  • Bayesian Neural Networks, Regression, Classification, Time Series

Industrial Research Leadership

  • End-to-end ML solutions, process automation, software training

Machine Learning Research Scholarship

  • Neurocomputing, Adaptive Control, Signal Processing

AI Enthusiast

  • Diverse end-to-end deep learning projects in CV, NLP, Generative AI

Professional Journey

Machine Learning Researcher | Polytechnique Montréal | Sep 2018 – Present

  • Developed AGVI for uncertainty quantification in Bayesian neural networks.
  • Improved training time significantly, applied in regression, classification, and time series.
  • Published AGVI in the International Journal of Adaptive Control and Signal Processing.

Research Consultant | Polytechnique Montréal | Sep 2018 – Present

  • Developed ML approach for nonlinear dependencies in time series.
  • Collaborated with dam engineers for real-time anomaly detection, winning competitions.

Honors & Awards

Eliminated hyper-parameter tuning and sped up Bayesian neural network training.

First and fourth rankings in predictive modeling competition at ICOLD-BW2022.

Author Metrics

Number of publications: 4

Conferences and Talks: 2

First-author publications: 2

Research Timeline

2018-2022: Ph.D. in Civil Engineering with a focus on Machine Learning.

2018-Present: Machine Learning Researcher at Polytechnique Montréal.

2018-Present: Research Consultant for industrial projects in collaboration with Hydro Québec.

2022: Published AGVI in the International Journal of Adaptive Control and Signal Processing.

2022: First and fourth rankings in predictive modeling competition at ICOLD-BW2022.

Publications & Contributions

Journals:
  • Tractable Uncertainty Quantification in Bayesian Neural Networks (Neurocomputing, 2023).
  • Gaussian Variance Inference for State-Space Models (IJACSP, 2023).
  • Inspector’s Uncertainty Inference Using Network-Scale Visual Inspections (J. Computing in Civil Engineering, 2023).
  • Gaussian Multiplicative Approximation for State-Space Models (Structural Control and Health Monitoring, 2022).
Conferences and Talks:
  • Online aleatory uncertainty quantification for probabilistic time series (ICASP14, 2023).
  • Dam Behavior Prediction Using Bayesian Models (Benchmark Workshop on Numerical Analysis of Dams, 2022).
Publications Top Noted

1. Building Classification Scheme and Vulnerability Model for the City of Guwahati, Assam

  • Authors: J Pathak, R Bharali, B Deka, S Pathak, IJ Ahmed, DH Lang, A Meslem
  • Published in: EQRisk Project Report
  • Year: 2015
  • Cited By: 6

2. The Gaussian Multiplicative Approximation for State-Space Models

  • Authors: B Deka, L Ha Nguyen, S Amiri, JA Goulet
  • Published in: Structural Control and Health Monitoring
  • Volume: 29 (3)
  • Page: e2904
  • Year: 2022
  • Cited By: 5

3. Damage Assessment of RC Frame Structures under Long Duration Aftershock Ground Motion

  • Authors: B Deka, SN Rahman, P Tamuly
  • Published in: International Journal of Innovative Research in Science, Engineering, and Technology
  • Volume: 3 (9)
  • Pages: 16144-16149
  • Year: 2014
  • Cited By: 5

4. Analytical Bayesian Parameter Inference for Probabilistic Models with Engineering Applications

  • Author: B Deka
  • Published at: Polytechnique Montréal
  • Year: 2022
  • Cited By: 3

5. Analytically Tractable Heteroscedastic Uncertainty Quantification in Bayesian Neural Networks for Regression Tasks

  • Authors: B Deka, LH Nguyen, JA Goulet
  • Published in: Neurocomputing
  • Pages: 127183

Pungbili Islary | Lichenology

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🌟Ms. Pungbili Islary, Congratulations on Winning the Best Researcher Award! 👏🌟🏆

  • Ms. Pungbili Islary, Bodoland University, India: Lichenology

🎉 Congratulations on being awarded the Best Researcher Award! 🏆 by ScienceFather. Your unwavering dedication, innovative contributions, and tireless pursuit of knowledge have truly set you apart in the realm of research. This well-deserved recognition is a testament to your outstanding achievements and the positive impact your work has made in the academic community.

Your ability to delve into complex topics, coupled with your passion for discovery, has not only advanced our understanding of your field but has also inspired those around you. 🌟 Your commitment to excellence, evident in each research endeavor, is an inspiration to aspiring researchers and a source of pride for our institution.

May this award serve as a symbol of the remarkable heights you have reached and the even greater heights that undoubtedly lie ahead. Your contributions have not only enriched your field of study but have also contributed significantly to the broader pursuit of knowledge.

Once again, hearty congratulations on this outstanding achievement! 🎊 Your dedication to research excellence is truly commendable, and we look forward to witnessing your continued success and groundbreaking contributions in the future. 🚀🔬

Professional Profiles:
Bio Summary:

 Pungbili Islary, an accomplished researcher with a background in Botany and a focus on lichenology. My passion lies in exploring the diversity of lichen species and their potential applications in various fields. As a dedicated scholar, I hold a Master’s degree in Botany and am currently pursuing a Ph.D. on “Lichen diversity of Ultapani Forest Range, Manas Biosphere Reserve, Assam, and biological activity of selected species.”

Research Focus:

Ms. Pungbili Islary, primary research interests include lichenology, antimicrobial and anticancer properties of lichens, molecular docking, and isolation and characterization of bioactive compounds from lichens and plants.

Professional Journey:

Ms. Pungbili Islary have actively contributed to the field through various publications and seminar presentations. I’ve participated in workshops, enhancing my skills in Lichen Systematics and Advanced Techniques in Natural Products and Medicinal Chemistry. I have also engaged in extra-curricular activities, such as training on Mushroom Farming and contributing to educational projects.

Honors & Awards:

Throughout my academic journey, I have received recognition for my contributions. Notably, I have been awarded the CSIR-NET Junior Research Fellowship (JRF), acknowledging my expertise in Microbiology and General Science.

Publications & Contributions:

Pungbili Islary have published several research articles in reputable journals, including Studies in Fungi, Asian Journal of Conservation Biology, and others. My work has focused on expanding the knowledge of lichen flora in Assam, with new records and distributional insights. Additionally, I’ve delved into the nutritional and health-promoting effects of lichens.

Author Metrics:
  • Citations: 5 by 3 documents
  • h-index: 2
Research Focus:
  • Lichenology
  • Antimicrobial and anticancer properties
  • Molecular docking
  • Bioactive compounds from lichens and plants
Document & Citation Trends:

📊 Publication and Citation Chart (2021-2023):

  • 8 documents
  • Citations received for various publications
Publication Top Noted:
  1. “Nutritional and Health-Promoting Effects of Lichens Used in Food Applications”
    • Published in Current Nutrition Reports, 2023
    • Cited by 3 documents
  2. “New Distributional Records of Lichenized Fungi for India from Assam”
    • Published in Vegetos, 2022
    • Currently uncited
  3. “Disease Management Strategies and Importance of Coriandrum sativum L.”
    • Book Chapter, 2022
    • Currently uncited
  4. “Enumeration of Lichen Diversity from Ultapani Forest Range of Kokrajhar District, Assam with Ocellularia calvescens and Rhabdodiscus subcavatus, Two New Records in India”
    • Published in Studies in Fungi, 2022
    • 1 citation
  5. “Pyrenula chlorospila (Nyl.) Arnold (Pyrenulaceae), a New Addition to Lichen Biota of India”
    • Published in Check List, 2022
    • Currently uncited
  6. “New Additions to the Lichen Biota of Assam from Dhubri District, Northeastern India”
    • Published in Journal of Threatened Taxa, 2022
    • Currently uncited
  7. “Occurrence of 26 New Additional Records to the Lichen Biota of Assam”
    • Published in Asian Journal of Conservation Biology, 2021
    • 2 citations
  8. “Additions to the Lichen Flora of Assam with Special Reference to Astrothelium alboverrucoides, a New Record to India”
    • Published in Studies in Fungi, 2021
    • 2 citations
Research Timeline:
  • M.Sc. in Botany from Bodoland University, Kokrajhar, Assam, with a focus on Epiphytic Lichen Diversity of Chakrashila Wildlife Sanctuary.
  • Pursuing a Ph.D. on Lichen Diversity of Ultapani Forest Range, Manas Biosphere Reserve, Assam, and Biological Activity of Selected Species.
  • Active participation in national and international seminars and conferences, presenting research findings.
  • Continuous engagement in hands-on training, workshops, and collaborative projects.

This encapsulates my journey, showcasing a commitment to advancing knowledge in lichenology and related disciplines.

Subing Yang | Material characterization

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Celebrating Excellence: Congratulations to Dr. Subing Yang on Receiving the “Best Researcher Award”! 🌟🏆

  • Assoc Prof Dr. Subing Yang, Jiangsu University, China: Material characterization

🎉 Congratulations, Dr. Subing Yang! 🎉It is with great joy and admiration that we extend our heartfelt congratulations on receiving the prestigious “Best Researcher Award” by ScienceFather Your outstanding contributions to the field of materials science, particularly in the areas of microstructure characterization, irradiation effects, and surface modification, have set a remarkable standard for excellence.

Your dedication to advancing knowledge and your innovative approach to understanding and mitigating irradiation-induced damage have not only enriched the scientific community but have also brought immense pride to our institution. This well-deserved recognition is a testament to your hard work, perseverance, and the impactful contributions you’ve made to the world of research.

May this award serve as a celebration of your accomplishments thus far and as an inspiration for the continued brilliance we anticipate from your future endeavors. We are honored to have such an exceptional researcher as part of our academic community. Once again, congratulations on this well-earned achievement, and here’s to many more successes in your illustrious career! 🌟👏

 

Professional Profiles:

Bio Summary:

Dr. Subing Yang is an Associate Professor at Jiangsu University with expertise in microstructure characterization, irradiation effects on materials, and surface modification. He completed his Ph.D. in Quantum Science and Engineering from Hokkaido University, focusing on residual elastic strain and defects in He+ ion irradiated 4H-SiC. Dr. Yang has a strong background in electron microscopy and has actively contributed to research in the field of materials science, particularly in understanding and mitigating irradiation-induced damage. His current research at Jiangsu University continues to explore microstructure characterization and surface modification techniques for metals.

Education:
  • Doctor of Philosophy (Ph.D.) in Quantum Science and Engineering
    • Hokkaido University, 2017.09 – 2020.09
    • Research: Residual elastic strain and defects in He+ ion irradiated 4H-SiC
  • Master of Metallurgical Engineering
    • University of Science and Technology Beijing, 2014.09 – 2017.01
    • Research: Irradiation effect of high-energy particles on steel
  • Bachelor of Metallurgical Engineering
    • Inner Mongolia University of Science and Technology, 2010.09 – 2014.06
Professional Journey:
  • Postdoctoral Fellow
    • Hokkaido University, 2020.10 – 2022.09
    • Research: Microstructure characterization, irradiation effect of high-energy particles, surface modification, and oxidation of metal.
  • Associate Professor
    • Jiangsu University, from 2022.12 – present
    • Research: Continuation of microstructure characterization, irradiation effects, and surface modification studies.
Research Focus and Skills:
  1. Microstructure Characterization:
    • Analyzing inner material microstructures using various microscopy technologies.
    • Proficient in electron microscopy, including focused-ion-beam system, transmission electron microscope, and scanning TEM.
    • Skills in SEM, EBSD, XPS, AFM.
  2. Irradiation Effects on Materials:
    • Studying the impact of irradiation-induced damage on materials used in nuclear reactors and aerospace.
    • Characterizing damages using EBSD, Raman microscopy, TEM, etc.
    • Investigating mechanisms to mitigate damages.
  3. Surface Modification and Metal Oxidation:
    • Modifying surfaces using ion implantation and studying the effects on oxidation.
    • Exploring anti-oxidation technologies like coatings and surface alloying.
Publications & Contributions:
  1. Author Metrics:
    • Document & Citation Trends:
      • Chart displaying the number of documents published and citations received across the years (2015-2023).
    • Documents:
      • 11 documents in total.
      • Results list showing the most recent 10 documents.
    • Metrics Summary:
      • 2 Preprints
      • 18 Co-Authors
    Notable Publications:
    1. Effects of gas phase ion irradiation and vacuum annealing on the visible light photocatalytic properties of WO3
      • Published in Vacuum, 2022, 206, 111519
      • 1 Citation
    2. Tailored copper oxidation in alkaline aqueous solution after helium cation implantation
      • Published in Applied Surface Science, 2022, 591, 153087
      • 1 Citation
    3. An investigation of surface contamination introduced during He+ implantation and subsequent effects on the thermal oxidation of Cu
      • Published in Applied Surface Science, 2022, 579, 152163
      • 2 Citations
    4. Room-Temperature Hydrogen Absorption of Ti with Robust Surface Coated by Hexagonal Boron Nitride
      • Published in ACS Applied Energy Materials, 2022, 5(1), pp. 951–957
      • 1 Citation
    5. Anisotropic defect distribution in He+-irradiated 4H-SiC: Effect of stress on defect distribution
      • Published in Acta Materialia, 2021, 211, 116845
      • 19 Citations
    6. Electron energy-loss spectroscopic evaluation of depth-dependent swelling of He+ ion-irradiated 4H-SiC correlated with defect type
      • Published in Journal of Applied Physics, 2020, 127(17), 175106
      • 4 Citations
    7. Development of Laser-HVEM and Its Application on In-situ Observation on Lattice Defects Behavior
      • Published in Jiegou Huaxue, 2020, 39(4), pp. 623–629
      • 0 Citations
    8. Non-destructive evaluation of the strain distribution in selected-area He+ ion irradiated 4H-SiC
      • Published in Applied Surface Science, 2020, 500, 144051
      • 11 Citations
    9. Effect of pulsed-laser and/or electron irradiation on vacancy diffusion in SUS316L austenitic stainless steel
      • Published in Gongcheng Kexue Xuebao/Chinese Journal of Engineering, 2017, 39(6), pp. 903–908
      • 2 Citations
    10. Effect of laser and/or electron beam irradiation on void swelling in SUS316L austenitic stainless steel
      • Published in Journal of Nuclear Materials, 2017, 488, pp. 215–221
      • 8 Citations
Research Timeline of Dr. Subing Yang
  • 2010 – 2014: Bachelor’s Degree
    • Metallurgical Engineering at Inner Mongolia University of Science and Technology
  • 2014 – 2017: Master’s Degree
    • Metallurgical Engineering at University of Science and Technology Beijing
    • Research: Irradiation effect of high-energy particles on steel
  • 2017 – 2020: Ph.D. in Quantum Science and Engineering
    • Quantum Science and Engineering at Hokkaido University
    • Research: Residual elastic strain and defects in He+ ion irradiated 4H-SiC
  • 2020 – 2022: Postdoctoral Fellowship
    • Research at Hokkaido University
      • Microstructure characterization
      • Irradiation effect of high-energy particles
      • Surface modification and oxidation of metal
  • 2022 – Present: Associate Professor at Jiangsu University
    • Continued research in microstructure characterization, irradiation effects, and surface modification