Tayyab Ashfaq | Electrical Engineering | Best Researcher Award

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Mr.Tayyab Ashfaq | Electrical Engineering | Best Researcher Award

Jr. Researcher Comsats University Islamabad Pakistan

Tayyab Ashfaq is a dedicated Electrical Design Engineer with extensive experience in designing and managing photovoltaic solar systems. With a solid background in electrical engineering and a passion for renewable energy solutions, he excels in creating efficient and innovative designs for residential, commercial, and industrial projects. Tayyab is committed to advancing sustainable energy practices through meticulous engineering and research.

Profile

ORCiD

Education

🎓 Tayyab holds a Master of Science in Electrical Engineering from Comsats University Islamabad, completed in 2023, and a Bachelor of Science in Electrical Engineering from the University of Wah, completed in 2019. His academic journey has equipped him with a deep understanding of electrical systems, renewable energy technologies, and advanced engineering principles.

Experience

🔧 Currently, Tayyab is an Electrical Design Engineer at OMECTA International, Pakistan, where he develops detailed designs for PV solar systems. His previous roles include Site Engineer at Renergetic Engineering Pvt Ltd, where he ensured compliance with standards and oversaw the installation and commissioning of solar panels. Additionally, Tayyab has interned at Ordinance Factories, gaining foundational knowledge in SCADA/HMI systems and plant operations.

Research Interests

🔍 Tayyab’s research interests lie in renewable energy integration, power system optimization, and advanced control systems. His projects include developing global maximum power point tracking controllers under partial shading conditions and energy management systems for grid-connected microgrids. He also focuses on automatic generation control in multi-area power systems.

Awards

🏆 Tayyab received the Best Project award in the Final Year Project Competition at the Department of Electrical Engineering, University of Wah, recognizing his innovative approach and technical excellence in engineering solutions.

Publications

📚 Tayyab has contributed to the field of electrical engineering with his publication in the journal Sustainability:

  • Automatic Generation Control in Renewables-Integrated Multi-Area Power Systems: A Comparative Control Analysis (2024). Sustainability, 16(13), 5735. Cited by articles.
  •  Best Project in Final Year Project Competition at Department of Electrical Engineering, University of Wah

Kalpana Ponugoti | Machine Learning | Best Researcher Award

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Dr. Kalpana Ponugoti | Machine Learning | Best Researcher Award

Assistant Professor  | AVN Institute of Engineering and Technology | India 

Short Biography

Dr. Kalpana Ponugoti is an accomplished academic with a strong focus on Computer Science and Engineering, specializing in cutting-edge technologies like Artificial Intelligence and Machine Learning. Currently serving as an Assistant Professor at AVN Institute of Engineering and Technology, she brings over 8 years of teaching experience and expertise in curriculum development, along with significant contributions as an industry professional and researcher in Salesforce development.

Profile

ORCID

Education

Dr. Kalpana completed her Ph.D. in Computer Science and Engineering from VELS University (VISTAS), Chennai, anticipated in May 2024. Prior to this, she earned her M.Tech in Computer Science from BKBG Institute of Technology and her B.Tech in Information Technology from Jawaharlal Nehru Institute of Technology, both affiliated with JNTU-Hyderabad.

Experience

Her academic journey includes roles at prestigious institutions such as TKR Engineering College, Vignan Institute of Technology and Science, and Sreyas Institute of Engineering & Technology. She currently holds the position of Assistant Professor at AVN Institute of Engineering and Technology, where she actively contributes to research and academic advancements in the field of Computer Science.

Research Interests

Dr. Kalpana’s research interests are centered around Artificial Intelligence, particularly in the application of machine learning techniques to solve real-world problems. Her recent work focuses on developing innovative solutions for plant disease recognition and classification using advanced deep learning models.

Awards

She has been recognized for her scholarly contributions with several publications in reputed journals and conferences, including SCI-indexed and Scopus-indexed papers. Her dedication to academic excellence and research innovation has earned her acclaim in the scientific community.

Publications

Dr. Kalpana has authored numerous impactful publications, including:

  • “Plant disease recognition using residual convolutional enlightened Swin transformer networks”, published in Scientific Reports, 2024.
  • “A capsule attention network for plant disease classification”, published in Traitement du Signal, 2023.
  • “FLY-CAPS- A Hybrid Firefly Feature Optimized Capsule Networks for Plant Disease Classification in Resource Constraint Internet of Things (IoT)”, published in International Journal on Recent and Innovation Trends in Computing and Communication, 2023.
  • Several other contributions in conference proceedings and UGC Care-listed journals, contributing significantly to the fields of IoT, deep learning, and computer vision.

 

PRADOSH KUMAR PARIDA | Remote sensing | Best Researcher Award

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Mr.PRADOSH KUMAR PARIDA | Remote sensing | Best Researcher Award

Ph.D. Research Scholar Tamil Nadu Agricultural University, Coimbatore, India

Pradosh Kumar Parida is a Ph.D. candidate in Agronomy at Tamil Nadu Agricultural University, with expertise in optimizing farming practices through innovative research. He has a strong academic background, including an M.Sc. from Central Agricultural University and a B.Sc. from Centurion University. Pradosh’s work focuses on enhancing crop productivity and sustainability, recognized through multiple awards and impactful publications in renowned journals.

Profile

Google Scholar

👨‍🎓 Education

Pradosh Kumar Parida is currently pursuing his Ph.D. in Agronomy at Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu. He completed his Master of Science in Agronomy from Central Agricultural University, Umiam, Meghalaya, and holds a Bachelor of Science in Agriculture from Centurion University of Technology and Management, Odisha.

🌱 Experience

As the National Secretary (GA) for AIASA since 2016, Pradosh has enhanced team dynamics and promoted social welfare in agriculture and allied sectors. He also served as a Trainer for the Agri RPL Project in Odisha, where he led training initiatives for farmers under the PMVKY scheme. Earlier, he interned as an Agriculturist with CIMMYT, contributing to maize productivity through the CSISA project.

🔬 Research Interests

Pradosh Kumar Parida’s research focuses on optimizing farming practices using ITK-based formulations for weed management in organic maize-cowpea systems. His projects also explore crop performance under varying conditions and organic mulching effects on water productivity and soil temperature.

🏆 Awards

Pradosh Kumar Parida has received several accolades, including the Young Researchers Award at the International Conference on Climate Resilient Agriculture and the Best Oral Presentation Award at the National Conference on Food Security to Nutritional Security. His achievements also include the Awaahan-AIASA 2018 National Award and the 1st Rank in Poster Making at SPARDHA’18.

📚 Publications

  1. “Machine learning approaches for estimation of the fraction of absorbed photosynthetically active radiation and net photosynthesis rate of maize using multi-spectral sensor” – Heliyon, Elsevier | 2023
  2. “Unmanned Aerial Vehicle Measured Multispectral Vegetation Indices for Predicting LAI, SPAD Chlorophyll, and Yield of Maize” – Agriculture, MDPI | 2023
  3. “Organic Mulching Effects on Water Productivity, Soil Temperature, Growth, and Yield of Lentil Varieties” – International Journal of Bio-resource and Stress Management | 2023
  4. “Effect of Organic Mulches on Yield, Water Productivity, and Economy of Garden Pea Cultivars” – International Journal of Environment and Climate Change | 2023
  5. “Performance of Blackgram (Vigna mungo) cultivars grown during the pre-monsoon season in Meghalaya” – Indian Journal of Hill Farming | 2023

Muhammad Saad | Blockchain Technology | Best Researcher Award

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Dr. Muhammad Saad | Blockchain Technology | Best Researcher Award

Student | AJOU University | South Korea

Short Biography

Muhammad Saad is a dedicated academic and researcher specializing in Artificial Intelligence with a focus on Blockchain Networks. He holds a PhD in Artificial Intelligence from AJOU University, expected in 2024, where he has been actively involved in pioneering research on secure privacy and anonymity setups for blockchain-enabled IoT devices. His academic journey began with a Master’s in Computer Engineering, where he explored Content Centric Networks, and he holds a Bachelor’s in Information and Communication Systems Engineering.

Profile

Google Scholar

Education

Muhammad Saad’s academic journey is marked by excellence. He earned his PhD in Artificial Intelligence, focusing on Blockchain Networks, with a stellar CGPA of 3.94/4.50. His research thesis, “Secure privacy and anonymity setup on Hyperledger fabric for blockchain-enabled IoT devices,” promises innovative contributions to the field. Prior to this, he completed a Master’s in Computer Engineering, specializing in Content Centric Networks, and his Bachelor’s in Information and Communication Systems Engineering.

Experience

Muhammad Saad’s professional journey spans diverse roles, showcasing his versatility and expertise. Currently a Research Associate at AJOU University’s DBDC Lab, he contributes significantly to Blockchain network research. Previously, he served as a Database, System Administrator, and Data Analyst in Pakistan, honing his skills in data mining and system administration. His experience at Korean Air involved data analysis and operational oversight in the passenger division. Earlier roles included research in Content-Centric Networking at AJOU University and significant contributions as an NSS Support Engineer at Mobilink, Pakistan’s leading telecommunications company.

Research Interests

Muhammad Saad’s research interests are centered around Artificial Intelligence, particularly in Blockchain Networks and IoT. His current focus is on enhancing privacy and anonymity in blockchain-based IoT devices, aiming to address critical security concerns in emerging technologies.

Award

Muhammad Saad has been recognized for excellence throughout his career, including an award for outstanding performance in his professional roles.

Publication

Muhammad Saad has contributed to the academic community through several notable publications:

  • “An Efficient Privacy and Anonymity Setup on Hyperledger Fabric for Blockchain-enabled IoT Devices”, published in Electronics, 2024.
  • “A framework for Enhancing Privacy and Anonymity in Blockchain-enabled IoT Devices”, published in the International Journal of Computers, Materials and Continua (CMC), 2024.
  • “Mobility and Cache Management Support in Content-Centric Networking through Cluster-based Approach”, published in JDCTA, 2013.
  • “Cluster-based Mobility Support in Content-Centric Networking”, published in ICCM, 2013.
  • “Applying Clustering Approach to Mobile Content-Centric Networking Environment (CCN)”, presented at the 39th KIPS Conference, 2013.

Mizbah Ahmed Sresto | Environmental Science, Geography and Urban Planning | Best Researcher Award

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Mr.Mizbah Ahmed Sresto | Environmental Science, Geography and Urban Planning | Best Researcher Award

Student Khulna University of Engineering & Technology Bangladesh

Mizbah Ahmed Sresto specializes in environmental research using geospatial technology and machine learning techniques. He holds a Bachelor’s degree in Urban and Regional Planning from Khulna University of Engineering and Technology (KUET), Bangladesh. Mizbah has professional experience as a GIS Analyst and Junior Urban Planner, focusing on GIS data analysis and urban planning projects. His research interests include land use transformation, hazard mapping, and natural resource management. Mizbah has received awards for his academic achievements and has published in peer-reviewed journals on topics related to remote sensing and environmental sustainability.

Profile

Google Scholar

👨‍🎓 Education

Mizbah Ahmed Sresto holds a Bachelor’s degree in Urban and Regional Planning from Khulna University of Engineering and Technology (KUET), Bangladesh, with a CGPA of 3.12 out of 4.00.

🏢 Professional Experience

As a GIS Analyst at Desh Upodesh Limited (DUL), Mizbah specializes in GIS data preparation and management, utilizing geospatial tools for road inventory and condition surveys.

🔬 Research Interests

Mizbah focuses on environmental research using geospatial technology and machine learning. His expertise includes land use transformation, hazard mapping, and natural resource management.

🏆 Awards

Mizbah has received the Dean’s Award from KUET Civil Faculty and the Scopus Index Author Award for outstanding research contributions.

📚 Publications

  • Sresto, M. A., et al. (2022). A GIS and remote sensing approach for measuring summer-winter variation of land use and land cover indices and surface temperature in Dhaka district, Bangladesh. Heliyon. Article Link
  • Sresto, M. A., et al. (2022). Impact of COVID-19 Lockdown on Vegetation Indices and Heat Island Effect: A Remote Sensing Study of Dhaka City, Bangladesh. Sustainability. Article Link
  • Roy, T. K., Siddika, S., & Sresto, M.A. (2022). Assessment of Urban Resiliency Concerning Disaster Risk: A Review on Multi-Dimensional Approaches. Journal of Engineering Science. Article Link
  • Sresto, M. A., et al. (2022). Groundwater vulnerability assessment in Khulna district of Bangladesh by integrating fuzzy algorithm and DRASTIC (DRASTIC-L) model. Modelling Earth Syst. and Environment. Article Link
  • Sresto, M. A., et al. (2021). Application of fuzzy analytic hierarchy process and geospatial technology to identify groundwater potential zones in north-west region of Bangladesh. Environmental Challenges. Article Link
  • Haque, M., Siddika, S., Sresto, M.A. et al. (2021). Geo-spatial Analysis for Flash Flood Susceptibility Mapping in the North-East Haor (Wetland) Region in Bangladesh. Earth System and Environment. Article Link

 

Navdeep Dehar | Oncology | Excellence in Research

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Dr.Navdeep Dehar | Oncology | Excellence in Research

Medical Oncologist Queens University Canada

Navdeep Dehar MBBS MD MBT FRCPC is an Assistant Professor in the Department of Oncology at Queen’s University and a Clinician Investigator & Medical Oncologist at the Cancer Centre of Southeastern Ontario. Additionally, he serves as a Precision Medicine Research Fellow at the Canadian Cancer Trials Group. With extensive training and experience in oncology, pharmacology, and biomedical technology, Dr. Dehar has made significant contributions to cancer research and clinical practice.

Profile

Scopus

Education

🎓 Education:

  • Subspecialty Training in Medical Oncology (2021-2023) – Queen’s University, Kingston, ON
  • Residency in Internal Medicine (2018-2021) – Cumming School of Medicine, University of Calgary, Alberta
  • Master of Biomedical Technology (MBT) (2012-2013) – University of Calgary, Alberta
  • Residency in Pharmacology – Doctor of Medicine (MD) (2005-2008) – Baba Farid University of Health Sciences, India
  • Bachelor of Medicine and Bachelor of Surgery (MBBS) (1998-2002) – Dayanand Medical College and Hospital, Baba Farid University of Health Sciences, India

Experience

💼 Experience:

  • Clinician Investigator & Staff Medical Oncologist (Locum) (July 2023 – present) – Cancer Centre of Southeastern Ontario, Kingston, ON
  • Assistant Professor of Medical Oncology (July 2023 – present) – Department of Medical Oncology, Queen’s University, Kingston, ON
  • Precision Medicine Research Fellow (October 2023 to September 2024) – Canadian Clinical Trials Group (CCTG), Kingston, ON
  • Medical Oncology Resident (2021-2023) – Queen’s University, Kingston, ON
  • Internal Medicine Resident (2018-2021) – University of Calgary, AB
  • Clinical Research Consultant (2013-2018) – GNR Biomedical Inc.

Research Interests

🔬 Research Interests:

  • Gastrointestinal Cancers
  • Neuroendocrine Tumors
  • Breast Cancer
  • Precision Oncology
  • Artificial Intelligence/Machine Learning in Oncology
  • Quality Improvement in Clinical Trials
  • Cancer Therapeutics with a Focus on Pharmacogenomics
  • Patient and Physician Education Initiatives
  • Global Oncology with a Focus on Quality Improvement

Awards

🏆 Awards:

  • Scholarship for Training in Lung Cancer (2023) – Canadian Lung Cancer Conference, Vancouver
  • Award of Appreciation for Extraordinary Contribution to Resident Redeployment Initiative during COVID Pandemic (2022) – Queen’s University, Kingston
  • Dr. Chirag Shah International Medical Graduate Award Recipient (2018) – Alberta International Medical Graduate Program, University of Calgary
  • Young Scientist Award (2008) – Sant Longowal Institute of Science and Technology, India

Publications

📚 Publications:

  • Dehar N, Gupta A, Singh G. “Comparative Study of the Efficacy and Safety of Ketorolac Tromethamine 0.5% Ophthalmic Solution and Diclofenac Sodium 0.1% Ophthalmic Solution in Patients of Acute Seasonal Allergic Conjunctivitis.” Int J Appl Basic Med Res. 2012 Jan-Jun; 2(1): 25–30. doi:10.4103/2229-516X.96799
  • Miriam Mutebi, Navdeep Dehar, Leticia M. Nogueira, Kewei Shi, K. Robin Yabroff,
    and Bishal Gyawali. Cancer Groundshot: Building a Robust Cancer Control Platform in
    Addition To Launching the Cancer Moonshot. American Society of Clinical Oncology
    Educational Book 2022:42, 1-16

Mohamed Eliwa | Mathematical and applied statistics | Best Researcher Award

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Assoc Prof Dr. Mohamed Eliwa | Mathematical and applied statistics | Best Researcher Award

Associate Prof in Mathematical Statistics | Qassim University (Saudi Arabia) – Mansoura University (Egypt) | Saudi Arabia

Short Bio

👨‍🏫 Dr. Mohamed Saber Eliwa, also known as Eliwa, M.S., is a dedicated associate professor specializing in mathematical statistics. He serves in the Department of Mathematics at Mansoura University, Egypt, and the Department of Statistics and Operation Research at Qassim University, Saudi Arabia. Additionally, he holds an honorary research position at the International Telematic University Uninettuno in Italy. His diverse interests encompass calculus, linear algebra, probability distributions, biostatistics, and more.

Profile

SCOPUS

Education

🎓 Dr. Eliwa obtained his Ph.D. in mathematical statistics from Mansoura University, Egypt, in March 2017, under the supervision of Prof. Mir Massom from Ball State University, USA. Prior to this, he completed his pre-doctorate in 2015, his master’s in mathematical statistics and computer science in 2014, his pre-master’s in 2011, and his bachelor’s degree in 2010, all from Mansoura University, achieving “Very Good Honor” with the top rank in his class.

Experience

🔬 Since February 2022, Dr. Eliwa has been an associate professor at Qassim University. He has extensive teaching experience, including part-time online courses at the University of Nizwa, Oman, and various teaching roles at Mansoura University since 2011. He also teaches at the Misr Higher Institute for Commerce and Computers and the Nile Higher Institute for Engineering and Technology in Mansoura.

Research Interest

🔍 Dr. Eliwa’s research interests are broad and include calculus, linear algebra, probability distributions, biostatistics, applied probability, censored and recorded data, reliability analysis, applied statistics, estimation theory, and simulation. His work contributes significantly to both theoretical and applied aspects of these fields.

Awards

🏆 Dr. Eliwa has been recognized for his scientific excellence and international publishing. He is an active member of the Syndicate of Scientists in Mansoura and the Nile Sports Club. His contributions to the field have earned him positions on editorial boards and as a reviewer for numerous prestigious international journals.

Publications

📚 Dr. Eliwa has an extensive list of publications in various high-impact journals. Some notable ones include:

  1. A bivariate probability generator for the odd generalized exponential model: Mathematical structure and data fitting (2024) in Filomat, cited by articles in the same journal.
  2. Modelling veterinary medical data utilizing a new generalized Marshall-Olkin transmuted generator of distributions with statistical properties (2024) in Thailand Statistician.
  3. Different statistical inference algorithms for the new Pareto distribution based on type-II progressively censored competing risk data with applications (2024) in Mathematics.
  4. On q-generalized extreme values under power normalization with properties, estimation methods and applications to COVID-19 data (2024) in REVSTAT-Statistical Journal.
  5. A novel nonparametric statistical method in reliability theory: Mathematical characterization and analysis of asymmetric data in the fields of biological sciences and engineering (2024) in Heliyon.
  6. A discrete extension of the Burr-Hatke distribution: Generalized hypergeometric functions, different inference techniques, simulation ranking with modeling and analysis of sustainable count data (2024) in AIMS Mathematics.
  7. Failure rate, vitality, and residual lifetime measures: Characterizations based on stress-strength bivariate model with application to an automated life test data (2024) in Statistics, Optimization & Information Computing.

 

Dennis Mbugua Muthama | Land Tenure Administration | Best Researcher Award

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Dr.Dennis Mbugua Muthama | Land Tenure Administration | Best Researcher Award

Lecturer University of Nairobi Kenya

Dennis Mbugua Muthama, Ph.D., is a distinguished academic and researcher in the field of Real Estate, Construction Management, and Quantity Surveying. He serves as a lecturer at the University of Nairobi, bringing extensive expertise in land tenure, urbanization, and peri-urban land administration.

Profile

Google Scholar

Education

🎓 Education:

  • PhD in Geomatics Engineering (Land Tenure and GIS Specialisation), University of Calgary (2015 – 2022)
  • MSc in Governance and Development (Distinction), University of Antwerp (2010 – 2011)
  • BA in Land Economics (First Class Honours), University of Nairobi (2005 – 2009)

Experience

💼 Experience:

  • Lecturer, University of Nairobi (2023 – Present)
  • Postdoctoral Research Fellow, British Institute in Eastern Africa (2023 – Present)
  • Tutorial Fellow, University of Nairobi (2014 – 2023)
  • Part-time Lecturer, University of Nairobi (2012 – 2014)

Research Interests

🔬 Research Interests: Dennis Mbugua Muthama focuses on post-conflict peri-urban land tenure, digitalisation, and urbanisation. His work emphasizes effective land administration in rapidly changing urban settings.

Awards

🏆 Awards:

  • Seun Ajayi AfRES Doctoral Thesis Award (2022)
  • IFRA Research Grant (2022)
  • International Real Estate Society Doctoral Student Fellow (2021)
  • Multiple scholarships from the University of Calgary and other institutions

Publications

📝 Publications:

  1. Muthama, D. M. (2024). Street level land administration in post-conflict peri-urban areas: the case of Waitiki Farm. Survey Review. Accepted.
  2. Datta, A., & Muthama, D. M. (2024). Sorting Paper: Archival labour of digitising land records in Kenya. The Geographical Journal. Published Online.
  3. Muthama, D. M., Gateri, C., & Kinoti, I. (2024). Participatory digitisation to bridge the land tenure information gap in Nairobi’s informal settlements. Accepted at TRIALOG Journal.
  4. Wamuyu, I.N., & Muthama, D. M. (2024). To assess the impact of COVID-19 in the delivery of Professional Courses in the School of Built Environment. A case study of the University of Nairobi. Africa Habitat Review Journal, 19(1), May 2024. Online.
  5. Muthama, D. M., & Wamuyu, I.N. (2022). The Impact of Covid-19 on the Valuation Profession in Kenya – A Case Study of Nairobi County Valuers. Africa Habitat Review Journal, 16. Online.
  6. Muthama, D.M., Barry, M., & Ballantyne, B. (2020). Improving Land Tenure Administration Effectiveness in a Post-Conflict Peri-Urban Mombasa Settlement. Urban Forum, 31, 237–253.
  7. Muthama, D. M., Tompkins, E., & Barry, M. (2019). Conflict between Indigenous land claims and registered title: Case studies from Canada and Kenya. Geomatica, 73, 15-27.

Chika Judith Abolle-Okoyeagu | Mechanical Engineering | Best Researcher Award

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Dr.Chika Judith Abolle-Okoyeagu | Mechanical Engineering | Best Researcher Award

Lecturer-Teaching and Research Robert Gordon University United Kingdom

Judith Abolle is a highly motivated and hardworking chartered Mechanical Engineer and a Senior Fellow of the Higher Education Academy. With over 15 years of academic and industrial experience, Judith has developed significant expertise in engineering research, teaching, and learning, as well as academic leadership, course development, delivery, and management. She is dedicated to building a successful and rewarding career in academia, aiming to facilitate effective course delivery while maximizing student experience.

Profile

ORCiD

Education 🎓

  • 2021: Online Certificate in Leaders of Learning, Harvard University
  • 2017-2018: PG Cert in Teaching and Learning, Edinburgh Napier University
  • 2013-2018: PhD in Mechanical Engineering, Heriot-Watt University, UK
  • 2008-2009: MSc in Computer Systems Engineering, University of East London, UK
  • 2001-2006: BEng (Hons) in Mechanical Engineering, FUT Minna, Nigeria

Experience 💼

  • 2021-Present: Mechanical Engineering Lecturer/Academic Team Lead, Robert Gordon University
    • Responsibilities include supporting the ASL on strategic objectives, carrying out module quality assurance processes, engaging in course development, and leading the e-learning Team.
  • 2020-2021: Mechanical Engineering Lecturer/Course Leader, Robert Gordon University
    • Planned, delivered, and assessed all BEng Mechanical Engineering modules, engaged in course development, and managed course structure.
  • 2017-2020: Mechanical Engineering Lecturer/MEng Program Lead, Edinburgh Napier University
    • Responsible for module design, curriculum, and course development; managed quality and developed new collaborations to improve student employability.
  • 2013-2018: Mechanical Engineering Teaching Assistant, Heriot-Watt University
    • Delivered mechanical engineering modules, mentored and supervised projects, and organized interdepartmental seminars.
  • 2010-2013: FEA Project Engineer, OilDynamix Aberdeen
    • Conducted Linear, Non-linear, and Dynamic FEA on mechanical components, provided design support, and ensured compliance with technical and HSEQ project procedures.
  • 2009-2010: Computer Engineering Lecturer, University of East London
    • Developed and delivered engineering modules, mentored students, and supported curriculum and research development.

Research Interests 🔬

Judith’s research interests encompass a wide range of topics within mechanical engineering, including:

  • Acoustic Emission Monitoring
  • Finite Element Analysis
  • Machine Learning-Augmented Acoustic Emission
  • Defect Analysis in Fiber Reinforced Polymer (FRP) Pipelines
  • Safety Monitoring in Hydrogen Storage

Awards 🏆

  • Top 50 Women in Engineering Awards 2024
  • IMechE Accreditation Lead for Edinburgh Napier University
  • IMechE Academic Liaison Officer for Edinburgh Napier University
  • Scottish Interconnect Student Award Finalist
  • Heriot Watt University PhD James Watt Prize

Publications 📚

  • Abolle-Okoyeagu, C J., Ojotule Onoja., & Chioma Onoshakpor. (2024, July). Navigating STEM: challenges faced by Nigerian female secondary school students. The International Academic Forum (IAFOR) 12th European Conference on Education (ECE2024).
  • Fatukasi, S., Abolle-Okoyeagu, C.J., & Pancholi K. A Comparative Study of Acoustic Emissions from Pencil Lead Breaks on Steel and Aluminum Substrates Using Signal Analysis. Petroleum Engineer. In SPE Annual Technical Conference and Exhibition (Paper accepted).
  • Abolle-Okoyeagu, C.J., Fatukasi, S., & Reuben, B. (2024, September). Measurement and Simulation of the Propagation of Impulsive Acoustic Emission Sources in Pipes. In Acoustics (Vol. 6, No. 3, pp. 620-637). Multidisciplinary Digital Publishing Institute.
  • Abolle-Okoyeagu, C.J., et al. (2024). Quantitative Analysis of the Hsu-Nielsen Source through Advanced Measurement and Simulation Techniques. Proceedings 8th International Conference on Mechanical, Aeronautical and Automotive Engineering, Malaysia.
  • Abolle-Okoyeagu, C.J., et al. (2022). Impact source identification on pipes using acoustic emission energy. e-Journal of Nondestructive Testing, 28(1).

Auvick Chandra Bhowmik | Computer Vision | Best Researcher Award

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Mr.Auvick Chandra Bhowmik | Computer Vision | Best Researcher Award

Graduate Researcher Daffodil International University Bangladesh

Auvick Chandra Bhowmik is a passionate and dedicated graduate researcher specializing in computer science and engineering. Currently pursuing his Bachelor’s degree at Daffodil International University, he is focused on developing expertise in machine learning, deep learning, and data science.

Profile

Google Scholar

Education

🎓 Daffodil International University (DIU)

  • Bachelor of Science in Computer Science and Engineering (CSE)
  • 2021 – Present
  • CGPA: 3.96 (Current)

🎓 Dr. Mosharraf Foundation College

  • Higher Secondary Certificate (HSC)
  • 2018 – 2020
  • GPA: 4.75 (Out of 5)

Experience

🔧 Graduate Researcher

  • Actively searching for research opportunities to gain experience in the field.
  • Focused on projects related to computer science, particularly machine learning and deep learning.

Research Interests

🔬 Research Interests

  • Machine Learning
  • Deep Learning
  • Data Science
  • Vision Transformers
  • Disease Detection using Machine Learning

Awards

🏆 Awards

  • Actively working towards contributing to the field of computer science through various research projects and publications.

Publications

📚 Publications