Ms Hind MEZIANE | IoT security | Best Researcher Award

Ms Hind MEZIANE | IoT security | Best Researcher Award

PhD Student at ACSA Lab, FSO, UMP, Oujda, Morocco , Morocco

Hind Meziane is a dedicated PhD candidate in Computer Science at Mohammed Premier University, specializing in IoT security systems. With a strong academic foundation and diverse teaching experience, Hind is passionate about leveraging artificial intelligence to enhance cybersecurity protocols in the Internet of Things.

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Google Scholar

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Scopus

Academic Background πŸŽ“

  • PhD in Computer Science (2019-Present), Mohammed Premier University, Oujda.
  • Specialized Master in Computer Engineering (2017-2019), Honors, Mohammed Premier University, Oujda.
  • License in Mathematics and Computer Science (2014-2016), Mohammed Premier University, Oujda.
  • DEUG in Mathematics and Computer Science (2012-2014), Mohammed Premier University, Oujda.
  • Baccalaureate in Science, Mathematics Option B (2011-2012), Mehdi Ben Berka High School, Oujda.

Professional Experience πŸ’Ό

  • Permanent Teacher at Sup MTI Higher School of Management, Oujda (Feb 2024-Present).
  • Temporary Teacher at the School of Advanced Technology and Faculty of Sciences, Mohammed Premier University (2020-2024).
  • Trainer at OFPPT (May 2024).

Research Interests πŸ”

  • Internet of Things (IoT) security.
  • Artificial Intelligence in cybersecurity.
  • Performance evaluation of AI algorithms.

Projects πŸ’»

  • Developed various applications including payroll management, chat applications, and a multilingual search engine.
  • Involved in educational projects focusing on database management and web applications.

Awards and Achievements πŸ†

Hind has received recognition for her contributions to the field, including various certifications such as Huawei’s HCIA AI courses and a Coursera certification in Cybersecurity and the Internet of Things. She is also a keynote speaker, having presented on AI’s role in IoT security at international conferences.

PublicationsπŸ“š

  1. Meziane, H., Ouerdi, N.
    Journal: International Journal of Advanced Computer Science and Applications (IJACSA)
    Year: 2022
    Title: A Study of Modelling IoT Security Systems with Unified Modelling Language (UML).
  2. Meziane, H., Ouerdi, N., Abraham, A.
    Journal: International Journal of Computer Information Systems and Industrial Management Applications
    Year: 2023
    Title: Modeling IoT based Forest Fire Detection System with IoTsec.
  3. Meziane, H., Ouerdi, N.
    Journal: Scientific Reports (Sci Rep)
    Year: 2023
    Title: A survey on performance evaluation of artificial intelligence algorithms for improving IoT security systems
  4. Meziane, H., Ouerdi, N., Kasmi, M. A., Mazouz, S.
    Book Chapter: Emerging Trends in ICT for Sustainable Development
    Publisher: Springer, Cham
    Year: 2021
    Title: Classifying Security Attacks in IoT Using CTM Method.
  5. Hind, M., Ouerdi, N., Sanae, M., Abraham, A.
    Book Chapter: Intelligent Systems Design and Applications
    Publisher: Springer
    Year: 2023
    Title: A comparative study for modeling IoT security systems
    Lecture Notes in Networks and Systems.
  6. Hind, M., Ouerdi, N., Amine, K. M., Sanae, M.
    Conference Proceedings: Proceedings of the 3rd International Conference on Networking, Information Systems & Security
    Year: 2020
    Title: Internet of Things: Classification of attacks using CTM method.

 

Dr Shi-Kai Jian | rock physics | Best Researcher Award

Dr Shi-Kai Jian | rock physics | Best Researcher Award

post-doctoral researcher at R&D Center for Ultra-Deep Complex Reservoir Exploration and Development Technology, CNPC , China

Shi-Kai Jian is a post-doctoral researcher at the R&D Center for Ultra-Deep Complex Reservoir Exploration and Development Technology, CNPC. With a robust background in petroleum exploration and geological engineering, he has made significant contributions to rock physics and seismic inversion, enhancing oil and gas production methodologies.

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Education πŸŽ“

Shi-Kai holds a B.S. degree in Petroleum Exploration from Yangtze University, an M.S. in Geodetection and Information Technology from Chengdu University of Technology, and a Ph.D. in Geological Resources and Geological Engineering from the China University of Petroleum (East China). His comprehensive education underpins his innovative research in the field.

Professional Experience πŸ’Ό

Currently serving as a post-doctoral researcher, Shi-Kai has successfully completed five research programs, contributing to the understanding and development of ultra-deep reservoirs. His experience spans both academic research and practical applications in the oil and gas industry, with a focus on fracture prediction and seismic modeling.

Technical Skills βš™οΈ

His technical expertise includes rock physics modeling, numerical simulations, and advanced seismic analysis. He has also contributed to the development of multi-scale fracture characterization theories.

Awards and Achievements πŸ†

Dr. Jian has been recognized for his research contributions, with 10 SCI papers and 3 EI papers published to date. He is also a member of the Young Editorial Board of the World Petroleum Industry and actively reviews for several reputable journals

Publications πŸ“š

  1. Rock-physics modeling and pre-stack seismic inversion for the Cambrian superdeep dolomite reservoirs in Tarim Basin, Northwest China (Marine and Petroleum Geology, 2024)
  2. Elastic equivalent numerical modeling based on the dynamic method of Longmaxi Formation shale digital core (Chinese Journal of Geophysics, 2023)
  3. 3D finite-element modeling of effective elastic properties for fracture density and multiscale natural fractures (Journal of Geophysics and Engineering, 2021)
  4. Anisotropic Effective Elastic Properties for Multi-Dimensional Fractured Models (Applied Sciences, 2022)
  5. Elastic characteristics of fault damage zones within superdeep carbonates in Tarim Basin, Northwest China (Journal of Geophysics and Engineering, 2022)

 

 

Prof Dr Yonas Bahta | Agricultural Economics | Best Researcher Award

Prof Dr Yonas Bahta | Agricultural Economics | Best Researcher Award

Professor at University of the Free state; Department of Agricultural Economics, South Africa

Full Professor Yonas Tesfamariam Bahta, born on June 28, 1972, in Eritrea, is an esteemed researcher and educator in Agricultural Economics at the University of the Free State, South Africa. With over 28 years of experience in academia and international organizations, he specializes in economic analysis, modeling, and food security. He is dedicated to mentoring future leaders in the field.

Profile

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Scopus

Google Scholar

Academic BackgroundπŸŽ“

  • PhD in Agricultural Economics
    University of the Free State, South Africa (2007)
  • MSc with Distinction in Agricultural Economics
    University of the Free State, South Africa (2004)
  • BSc in Agricultural Economics
    Alemya University of Agriculture, Ethiopia (1994)

Professional Experience🏒

  • Full Professor (2024 – Present)
    Department of Agricultural Economics, University of the Free State

    • Responsibilities include teaching, mentoring, and conducting research.
  • Associate Professor (2021 – 2023)
    Department of Agricultural Economics, University of the Free State
  • Senior Researcher/Lecturer (2018 – 2020)
    Department of Agricultural Economics, University of the Free State
  • Researcher (2014 – 2017)
    Department of Agricultural Economics, University of the Free State
  • Consultant (2009 – 2011)
    Various organizations, focusing on agricultural performance analysis

Research InterestsπŸ”

  • Applied development economics
  • Economic modeling (SAM-CGE, I-O models)
  • Food security and saving mobilization
  • Trade analysis and policy evaluation
  • Socioeconomic analysis and forecasting

Β AchievementsπŸ†

  • NRF C2 rating and ranked in the top 2% of researchers globally (2024).
  • Published over 82 peer-reviewed articles and received multiple awards for research output.
  • Supervised over 35 postgraduate students, with numerous accolades for student performance.

SkillsπŸ“ˆ

  • Proficient in econometric software (GAMS, Stata, SPSS).
  • Strong quantitative and qualitative research skills.
  • Expertise in research methodology and proposal writing.

Publication Top NotesπŸ“

  • Musara, J.P., Bahta, Y.T., Mapuranga, R., Musiniwa, F., Abu Hatab, A., & Owusu‑Sekyere, E. (2024). Agriculture and Food Security.
  • Bahta, Y.T., & Nyaki, S.A. (2024). Hydrology.
  • Pfunzo, R., Bahta, Y.T., & Jordaan, H. (2024). Data.
  • Pfunzo, R., Bahta, Y.T., & Jordaan, H. (2024). Agriculture.
  • Monteiro, M.A., Bahta, Y.T., & Jordaan, H. (2024). Water.
  • Kotze, H.C., Qotoyi, M.S.M.A., Bahta, Y.T., Jordaan, H., & Monteiro, M.A. (2024). Resources.
  • Pilane, P.M., Jordaan, H., & Bahta, Y.T. (2024). Hydrology.
  • Ume, C., & Bahta, Y.T. (2024). Organic Agriculture.
  • von Maltitz, L., & Bahta, Y.T. (2024). Frontiers in Public Health.
  • Mokati, J.T.W., Ncube, A., & Bahta, Y.T. (2024). Journal of Asian and African Studies.
  • Marais, M., Jordaan, H., Lombard, W.A., & Bahta, Y.T. (2024). AIMS Agriculture and Food.
  • Muhame, C., Ncube, A., & Bahta, Y.T. (2024). JΓ mbΓ‘: Journal of Disaster Risk Studies.
  • Muhame, C., Ncube, A., & Bahta, Y.T. (2023). Journal of Sustainability Research.
  • von Maltitz, L., & Bahta, Y.T. (2023). Data in Brief.
  • Bahta, Y.T., & Lombard, W.A. (2023). Atmosphere.
  • Bahta, Y.T., & Mbai, S. (2023). Resources.
  • Bahta, Y.T., & Musara, J.P. (2023). Climate.
  • van den Heever, M.J.J., Lombard, W.A., Bahta, Y.T., & MarΓ©, F.A. (2023). Agriculture.
  • Myeki, L.W., Matthews, N., & Bahta, Y.T. (2023). Sustainability.
  • Mare, F., & Bahta, Y.T. (2023). AIMS Agriculture and Food.
  • Nohamba, S., Musara, J.P., Bahta, Y.T., & Ogundeji, A.A. (2022). Agriculture.
  • Bahta, Y.T., & Musara, J.P. (2022). Land.
  • Abafe, E.A., Bahta, Y.T., & Jordaan, H. (2022). Sustainability.
  • Myeki, L.W., Bahta, Y.T., & Matthews, N. (2022). Agriculture.
  • Bahta, Y.T. (2022). Scientific African.
  • Ncube, A., & Bahta, Y.T. (2022). Journal of International Migration and Integration.

 

 

Prof Xiaosong Tian | Agricultural environmental protection | Best Researcher Award

Prof Xiaosong Tian | Agricultural environmental protection | Best Researcher Award

Associate professor at Chongqing vocational institute of engineering, China

Xiaosong Tian is an associate professor at Chongqing Vocational Institute of Engineering, with significant contributions to agricultural environmental protection. He serves on various professional committees and editorial boards, driving research and innovation in eco-environmental fields.

Profile

Orcid

Professional ExperienceπŸ’ΌΒ 

From 2011 to 2018, he worked at the Chongqing Institute of Geology and Mineral Resources and the China Merchants Chongqing Transportation Research and Design Institute, contributing significantly to ecological and environmental protection projects.

Research InterestsπŸ”¬

His main research areas include agroecological environment protection, restoration of heavy metal-polluted farmland, and sustainable development of selenium-rich functional agriculture.

Technical SkillsπŸ› οΈ

Xiaosong has expertise in environmental remediation, biochar applications, and the analysis of heavy metal uptake in crops, supported by his work on over 100 consultancy projects.

Upcoming ProjectsπŸ“ˆ

He is currently leading ongoing research funded by the Natural Science Foundation of Chongqing and the Science and Technology Research Key Program of the Chongqing Municipal Education Commission.

Awards and HonorsπŸ†

Xiaosong’s research has led to multiple awards, and he has six patents authorized, with two additional patents in process. His work is widely recognized, having been cited 141 times on ResearchGate.

Publication Top NotesπŸ“„

  • Evolutionary Trend Analysis of Agricultural Non-Point Source Pollution Load in Chongqing
    Journal: Agronomy
    Year: 2024
  • Analysis of Evolving Carbon Stock Trends and Influencing Factors in Chongqing under Future Scenarios
    Journal: Land
    Year: 2024
  • Evolving Trends and Influencing Factors of the Rural Green Development Level in Chongqing
    Journal: Land
    Year: 2023
  • Response of Methylmercury in Paddy Soil and Paddy Rice to Pristine Biochar: A Meta-Analysis and Environmental Implications
    Journal: Ecotoxicology and Environmental Safety
    Year: 2023
  • A New Insight into the Role of Iron Plaque in Arsenic and Cadmium Accumulation in Rice (Oryza sativa L.) Roots
    Journal: Ecotoxicology and Environmental Safety
    Year: 2023
  • Identification of Heavy Metal Pollutants and Their Sources in Farmland: An Integrated Approach of Risk Assessment and X-ray Fluorescence Spectrometry
    Journal: Scientific Reports
    Year: 2022
  • Simultaneous Adsorption of As(III) and Cd(II) by Ferrihydrite-Modified Biochar in Aqueous Solution and Their Mutual Effects
    Journal: Scientific Reports
    Year: 2022
  • Role of the Rhizosphere of a Flooding-Tolerant Herb in Promoting Mercury Methylation in Water-Level Fluctuation Zones
    Journal: Journal of Environmental Sciences
    Year: 2022
  • Risk Identification of Heavy Metals in Agricultural Soils from a Typically High Cd Geological Background Area in Upper Reaches of the Yangtze River
    Journal: Bulletin of Environmental Contamination and Toxicology
    Year: 2022
  • Mercury in Human Hair and Its Implications for Health Investigation
    Journal: Current Opinion in Environmental Science & Health
    Year: 2021
  • Total Mercury and Methylmercury in Human Hair and Food: Implications for the Exposure and Health Risk to Residents in the Three Gorges Reservoir Region, China
    Journal: Environmental Pollution
    Year: 2021
  • Does Biochar Inhibit the Bioavailability and Bioaccumulation of As and Cd in Co-Contaminated Soils? A Meta-Analysis
    Journal: Science of The Total Environment
    Year: 2021
  • Spatial Distribution of As and Cd in Co-Contaminated Soils Within the Rice Root Microzone
    Journal: Bulletin of Environmental Contamination and Toxicology
    Year: 2021

 

 

Mr JOSEPH KARANJA | Siltation of Reservoirs | Best Researcher Award

Mr JOSEPH KARANJA | Siltation of Reservoirs | Best Researcher Award

Research and Development Coordinator at Nairobi City Water and Sewerage Company, Kenya

Joseph Thuku Karanja is a seasoned Hydrologist from Kenya, boasting over 24 years of experience in water resource management and research. He currently serves as the Research Coordinator at Nairobi City Water and Sewerage Company Ltd, where he oversees hydrological investigations and reservoir management. His expertise extends across various aspects of hydrology, including flood analysis, water resource protection, and the implementation of integrated water management systems. 🌍

Profile

Scopus

Academic Background

  • B.Sc. in Geography and Chemistry – Egerton University, 1998
  • Postgraduate Diploma in Applied Hydrology and Water Information Systems – University of Nairobi & IMTR, 1999
  • Postgraduate Studies in Integrated Water Resources Management – University of Nairobi, 2009
  • Master of Arts in Project Planning and Management – University of Nairobi, 2018

Professional Experience

  • Research Coordinator at Nairobi City Water and Sewerage Company
    • Coordinating research activities within the company.
  • Dam Coordinator at various dams (Sasumua, Ruiru, Ndakaini/Thika)
    • Oversaw dam operations, including daily measurements of rainfall, inflows, and reservoir levels.
    • Prepared management reports and advised top management on water management decisions.
  • Hydrologist at GIBB (Eastern Africa) Ltd
    • Worked on river rainfall runoff modeling, reservoir storage management, and hydrological investigations.
    • Analyzed hydrological data using software such as HYDATA and TRRL.

Research Interests

  • River rainfall runoff modeling, hydrological investigations, and catchment resource protection.
  • Recent publications include a co-authored paper on catchment dynamics and an authorship on hydrology in road design.

Membership in Professional Societies

Skills

  • Extensive experience in flood hydrology analysis, hydro-meteorological data collection, and reservoir management.
  • Proficient in hydrological modeling software and quantitative analysis.

Publications

These publications contribute significantly to the field of hydrology, addressing critical issues in water resource management and providing empirical data for future research. πŸ“š

  • Using multi-proxy analysis to determine the long-term impacts of catchment dynamics on water reservoirs – A case from a tropical reservoir (Ruiru Basin, Kenya) (2024)
  • Kenya Road Design Manual; Hydrology and Drainage (2024)

 

 

Dr Salman Khan | Tourism and Hospitality | Best Researcher Award

Dr Salman Khan | Tourism and Hospitality | Best Researcher Award

PhD Student at Student,China

Profile

 

Educational Background πŸŽ“

Salman earned his Master in Management Science and Engineering from Hefei University of Technology (2016–2020), achieving a 75% score. His dissertation focused on “Mobile Tourism Shopping Adoption and Customer Satisfaction.” He also holds a Master’s in Economics from the Pakistan Institute of Development Economics (2013–2015), where he researched the impact of trade openness on economic growth in Pakistan. Salman completed his Bachelor in Commerce at the University of Science and Technology, Bannu (2011–2013), with an 80% score.

Professional Experience πŸ’Ό

During his studies, Salman worked in research labs under esteemed professors, exploring topics such as mobile tourism shopping and electronic health technology adoption in developing countries. His research has contributed to a deeper understanding of customer satisfaction and sustainable practices within tourism and healthcare sectors.

Honors and Awards πŸ…

Salman received the Chinese Government Scholarship Award in 2015, allowing him to study at Hefei University of Technology. He also secured a score of 71% in the National Testing Service (NTS) for admission into his Bachelor’s program in 2013.

Research Interests πŸ”

Salman Khan’s research interests are diverse and reflect his commitment to exploring contemporary issues in management and technology. His areas of focus include:

  • Tourism and Hospitality: Investigating consumer behavior and satisfaction in mobile tourism shopping.
  • Knowledge Management: Analyzing how knowledge can be effectively managed and utilized within organizations.
  • Artificial Intelligence: Exploring the methodologies and applications of AI in various sectors.
  • M-Commerce: Understanding mobile commerce trends and their impact on consumer behavior.
  • Digital Marketing: Examining innovative marketing strategies in the digital landscape.
  • Digital Innovation: Researching new technologies and their implications for business practices.
  • E-Learning: Investigating the effectiveness of digital learning platforms and strategies.
  • Digital Health: Assessing the adoption of e-health technologies, especially in developing countries.
  • Management Innovation: Focusing on new management practices that enhance organizational performance.
  • Digital Banking: Analyzing trends and challenges in the digital banking sector.
  • Human Resource Management: Studying the intersection of HR practices and technology.

Research SkillsπŸ› οΈ

  • Information Identification: Proficient in locating and evaluating sources relevant to specific research problems.
  • Data Synthesis: Capable of understanding and integrating large datasets into coherent findings.
  • Survey Design and Analysis: Experienced in creating surveys and analyzing the results to derive meaningful insights.
  • Data Organization: Skilled in developing effective organizing principles to sort and evaluate data efficiently.

Publications πŸ“š

  1. Khan, S. (2020). Tourism Management Explaining Technology Adoption and Customers Satisfaction: The Use of IDT, TAM and Prism of Sustainability. Master Thesis, Hefei University of Technology, Hefei, China.
  2. Khan, S. (2015). Trade Openness and Economic Growth. M.Sc. Project, Pakistan Institute of Development Economics, Islamabad, Pakistan.

Mr Mehboob Hussain | Whole genomics sequencing | Young Scientist Award

Mehboob Hussain | Whole genomics sequencing | Young Scientist Award

PhD student at Yunnan Agricultural University , China

Mehboob Hussain is a dedicated entomologist from Khanewal, Pakistan, with a robust academic background in agriculture and entomology. He has a passion for research and community service, reflected in his extensive work in pest management and public health awareness, especially during the COVID-19 pandemic.

Profile

Google Scholar

Orcid

Education πŸŽ“

Mehboob completed his M.Sc. (Hons) in Agriculture Entomology at the University of Agriculture Faisalabad (2019) with a GPA of 3.41/4.00. He also holds a B.Sc. (Hons) in Agriculture (Entomology) from Bahauddin Zakariya University (2017), achieving a GPA of 3.70/4.00. Additionally, he earned a B.A. in Education from Allama Iqbal Open University (2016).

Experience πŸ’Ό

He has two years of professional experience as an Entomologist at Pak Fumigation System, part of the Pak Group of Companies in Lahore. His role involved implementing effective pest control strategies and enhancing agricultural sustainability.

Project Ideas🌱

  1. Development of Biopesticides from Indigenous Plants
    • Objective: Explore the efficacy of local plant extracts as biopesticides against common agricultural pests.
    • Activities:
      • Collect plant samples.
      • Conduct laboratory tests to evaluate their pest control properties.
      • Field trials on cotton or vegetable crops.
    • Expected Outcome: Sustainable pest management solutions for local farmers.
  2. Monitoring Insect Pest Populations in Cotton Fields
    • Objective: Establish a monitoring system for insect populations in cotton fields to predict pest outbreaks.
    • Activities:
      • Set up traps and regular monitoring schedules.
      • Analyze data to identify trends in pest populations relative to environmental factors.
    • Expected Outcome: Improved pest management strategies based on data-driven insights.
  3. Impact of Climate Variability on Pest Dynamics
    • Objective: Assess how changes in climate affect the population dynamics of key pests in agricultural settings.
    • Activities:
      • Conduct surveys to correlate climate data with pest population changes.
      • Use modeling tools to predict future trends.
    • Expected Outcome: Guidelines for farmers to adapt to changing pest pressures due to climate variability.
  4. Sustainable Practices for Thrips Management in Cotton
    • Objective: Develop and promote sustainable agricultural practices to manage thrips in cotton cultivation.
    • Activities:
      • Conduct trials comparing traditional practices with integrated pest management (IPM) approaches.
      • Create educational materials for farmers.
    • Expected Outcome: Reduced reliance on chemical pesticides and improved cotton health.

Research Interests πŸ”¬

Mehboob’s research primarily focuses on pest dynamics, the efficacy of plant extracts in pest management, and the ecological interactions among insect populations. His work aims to address the challenges posed by agricultural pests, contributing to improved crop yield and sustainability.

Awards πŸ†

Throughout his academic career, Mehboob has received numerous accolades, including:

  • HEC Need-Based Scholarship for his postgraduate studies (2017-2019).
  • First position in an English speech competition (2011).
  • Various awards in extracurricular activities, showcasing his leadership and communication skills.

Publications πŸ“

Mehboob has contributed significantly to scientific literature with the following publications:

  1. “Efficacy of different plant extracts on packaging materials against Tribolium castaneum (2018)Discovery
    Cited by: Notable studies on pest management.
  2. “Gross morphology and ultrastructure of the salivary glands of the stink bug predator Eocanthecona furcellata (Wolff)” (2020)Microscopy Research & Technique
    Cited by: Research on insect morphology.
  3. “Seasonal outbreak of Thrips tabaci on different cotton cultivars in relation to abiotic factors and different sowing times” (2020)International Journal of Agriculture and Biological Sciences
    Cited by: Studies on agricultural pest outbreaks.
  4. “Identification and functional assessment of endophytic bacterial diversity in Ageratina adenophora (Sprengel)” (2020)South African Journal of Botany
    Cited by: Research on endophytes in agriculture.
  5. “Species richness and seasonal abundance of thrips (Thysanoptera) on different tea cultivars in Xishuangbanna, Yunnan province, China” (2020)International Journal of Entomology Research
    Cited by: Studies on insect diversity.
  6. “Efficacy of four different indigenous plants against Rhizopertha dominica (F.)” (2020)International Journal of Agriculture and Biological Sciences
    Cited by: Indigenous pest control research.
  7. “Characterization of advanced tilling and its application in cotton” (2021)Journal of Agriculture and Horticulture Research
    Cited by: Agricultural technology studies.
  8. “Chemical composition and anti-microbial analysis of Mentha arvensis L. and Thymus linearis Benth. essential oils” (2021)Romanian Biotechnological Letters
    Cited by: Studies on essential oils in pest control.

Dr Santanu Roy | Computer Vision | Best Researcher Award

Dr Santanu Roy | Computer Vision | Best Researcher Award

Assistant Professor at Pandit Deendayal Energy University , India

Dr. Santanu Roy is a dedicated researcher and educator specializing in medical image processing and computer vision. With a Ph.D. from NITK Surathkal, he has developed innovative algorithms for cancer detection using deep learning techniques. His passion for advancing healthcare through technology is reflected in his extensive research publications and teaching experience across various esteemed institutions.

Profile

Education Qualification πŸŽ“

  • Ph.D. in Medical Image Processing
    NITK Surathkal, India (July 2016 – August 2021)
    Thesis: Algorithms for Color Normalization and Nuclei Segmentation of Liver Cancer Histopathology Images
    CPI: 9.00/10.0
  • M.Tech in Information and Communication Technology
    Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, India (July 2009 – June 2011)
  • B.Tech in Electronics and Communication Engineering
    St. Thomas College of Engineering and Technology, WBUT Kolkata, India (June 2004 – May 2008)
    Percentage: 77.71%

Experience πŸ’Ό

Dr. Roy has held various academic positions, including Assistant Professor in the CSE Department at NIIT University (Sept 2023 – July 2024) and Christ (Deemed to be University) (Oct 2022 – Sept 2023). He also served as a Teaching Assistant at NITK Surathkal, contributing to projects in liver cancer diagnosis. His teaching experience spans subjects like deep learning, machine learning, and digital image processing.

Research Interest πŸ”

Dr. Roy’s research interests focus on medical image processing, computer vision, and image classification using deep learning. He is particularly dedicated to enhancing diagnostic techniques in healthcare through innovative computational methods.

Upcoming Projects

  1. AI-Driven Diagnostic Tools: Building on his work with liver cancer histopathology images, Dr. Roy aims to develop AI tools that can assist in real-time diagnosis across various medical imaging modalities.
  2. Telemedicine Solutions: A project aimed at leveraging computer vision technologies to enhance telemedicine services, making healthcare more accessible, especially in rural areas.
  3. Virtual Lab Expansion: Dr. Roy plans to expand the Virtual Lab initiative, enhancing its offerings and providing more students with opportunities to engage in impactful AI research.

Awards and Achievements πŸ†

  • Best Paper Presentation Award at the 15th International Conference on Machine Vision (ICMV’2022), Rome, Italy (2023).
  • Full-time Ph.D. Scholarship from NITK Surathkal (2016-2021).
  • GATE EC 2009: All India Rank 2883.
  • GATE EC 2008: All India Rank 4885.

Publications πŸ“š

  1. Attention-based VGG-Lite Model and Novel Pooling Technique for Pneumonia and Covid-19 Detection from Imbalanced CXR Dataset
    IEEE Transactions on Emerging Topics in Computational Intelligence (2023)

    • Under minor revision.
  2. SVD-CLAHE Boosting and Balanced Loss Function for Covid-19 Detection from an Imbalanced Chest X-Ray Dataset
    Computers in Biology and Medicine (2022)
  3. Novel Edge Detection Technique for Nuclei Segmentation of Liver Cancer Histopathology Images
    Journal of Ambient Intelligence and Humanized Computing (2023)
  4. Mathematical Analysis of Histogram Equalization Techniques for Medical Image Enhancement
    Multimedia Tools and Applications (2024)
  5. A Novel Color Normalization Method for Hematoxylin and Eosin Stained Histopathology Images
    IEEE Access (2019)

    • Google Citations: 31.
  6. A Study About Color Normalization Methods for Histopathology Images
    Micron (2018)

    • Google Citations: 160.

 

Mr Apoorv Sobti | Advance High Strength Steels | Best Researcher Award

Mr Apoorv Sobti | Advance High Strength Steels | Best Researcher Award

Ph.D. research scholar at IIT Madras , India

Profile

Academic BackgroundπŸŽ“

  • Ph.D. in Metallurgical Engineering (Ongoing)
    IIT Madras, 8.13 CGPA
  • M.Tech in Metallurgical Engineering (Alloy Technology) (2016-2018)
    IIT (BHU) Varanasi, 7.66 CGPA
  • B.Tech in Material Science Engineering (Nanotechnology) (2011-2015)
    University of Petroleum and Energy Studies, 64.8%
  • Class XII (2011)
    CBSE, St. Stephen’s Senior Secondary School, 71%
  • Class X (2009)
    CBSE, St. Stephen’s Senior Secondary School, 76%

Academic/Extra-Curricular AchievementsπŸ†

  • GATE rank 426 in Metallurgical Engineering
  • JRF at IIT Madras (2019-2020)
  • Multiple roles as Teaching Assistant for NPTEL courses (2020-2023)
  • Attended international conferences and workshops on materials science and engineering

Research InterestsπŸ”

  • Materials Science
  • Metallurgy
  • Alloy Technology
  • Nanotechnology

Research FocusπŸ§ͺ

  • Kinetics and mechanism of Bainitic transformation
  • Tribological properties of alloys
  • Corrosion behavior of stainless steels

Teaching ExperienceπŸ‘¨β€πŸ«Β 

  • Teaching Assistant for various NPTEL online certification courses

SkillsπŸ’»

  • Languages: C, C++, MATLAB
  • Software: Fullprof, Thermo-Calc, Origin, Minitab, ImageJ, Dreamweaver, Photoshop, X’pert highscore, TSL OIM

Top Note PublicationsπŸ“„

  1. Sobti, A., “Influencing TRIP Threshold and Variant Pairing through Minor Cold and Cryo-rolling in Bainitic Steel,” Materials Today: Proceedings, 2024.
  2. Sobti, A., “In-situ TEM observation of Low-Temperature Non-Equilibrium Austenite Reversion in Bainitic Steel during continuous heating,” Scripta Materialia, Under Review.
  3. Sobti, A., “Influence of quenching and partitioning times on austenite stability and tensile properties of CMnAlSi Q&P steel,” Journal TBD.
  4. Sobti, A., “BaTaO2N and quantum dots-based CuO nanocomposites for HER by solar electrochemical water splitting,” Inorganic Chemistry, 2024.