Daniel Tennyson | Electronics Engineering | Best Researcher Award

Mr. Daniel Tennyson | Electronics Engineering | Best Researcher Award

Researcher at Bayero University, Kano, Nigeria

Mr. Daniel Igenumah Tennyson is a passionate Electrical and Electronics Engineer with over 8 years of combined academic and industry experience. He holds a Master of Engineering in Electrical & Electronics Engineering (Electronics) from Bayero University, Kano, where he graduated with distinction (CGPA 4.50/5.00). His postgraduate thesis focused on harmonic mitigation in multilevel inverters using the Sparrow Search Algorithm, and he served as the corresponding author for a peer-reviewed publication in the Q2-ranked Journal of Electrical Systems and Information Technology.

Profile:

🔬 Research Interests:

  • ⚡ Power Electronics & Harmonic Distortion Mitigation

  • 🤖 Intelligent Control Systems for Multilevel Inverters

  • 📈 AI & Optimization Algorithms in Electrical Systems

  • 🌱 Renewable Energy & Grid Stability

  • 🌐 Smart Grids & Cyber-Physical Systems

🎓 Education:

  • 🧑‍🎓 M.Eng., Electrical & Electronics Engineering
    Bayero University, Kano – 2025 (CGPA: 4.50/5.00)

  • 🧑‍🎓 B.Eng., Electrical Engineering
    Abubakar Tafawa Balewa University – 2016

  • 🧑‍🎓 HND & ND in Electrical Engineering
    Federal Polytechnic, Bauchi & Kazaure – Distinction

📚 Publications & Research Highlights:

  • ✍️ Corresponding author – Peer-reviewed Q2 journal article on Sparrow Search Algorithm

  • 📘 “Harmonic Mitigation for Symmetrical Cascaded H-Bridge Inverter…”

  • 🛠️ Developed optimization models for 7-level inverters

  • 🗣️ Presented at academic seminars in Bayero University

💼 Professional Experience:

  • 👨‍🔧 Optical / Maintenance Engineer, ECWA Eye Hospital, Kano

  • 💡 Head of IT & STEM Instructor, Australian Academy, Abuja

  • 🧪 Engineering Assistant (NYSC), Hussaini Adamu Federal Polytechnic

  • ⚙️ Substation Trainee, News Engineering Ltd.

💻 Technical Skills:

  • MATLAB/Simulink, AutoCAD, LabVIEW

  • PCB Design: Altium, Eagle

  • Programming: Arduino IDE, Python (basic), Ladder Logic

  • Optimization: SSA, GA, WOA

🏅 Honors & Certifications:

  • 🎖️ Academic Distinction (M.Eng.)

  • 📜 MATLAB, Circuit Design, Embedded Systems

  • 🏆 Author of Q2-ranked publication

🌍 Other Interests:

💚 Renewable Energy Access | 🧑‍🏫 STEM Mentorship
🤝 Research Collaboration | 🧠 AI in Power Systems

Publication:

  1. Harmonic Mitigation for Symmetrical Cascaded H-Bridge Inverter Using Sparrow Search Algorithm
    Journal of Electrical Systems and Information Technology, Published: June 23, 2025
    DOI: 10.1186/s43067-025-00222-z
    Authors: Daniel Igenumah Tennyson, Abdussamad Umar Jibia, Ibrahim Haruna Shanono, Nasiru Bello Kadandani
    ISSN: 2314-7172

  2. Design and Implementation of a Fingerprint Lock System Using Arduino
    IOSR Journal of Engineering (IOSRJEN), Published: April 1, 2017
    Authors: Daniel Igenumah Tennyson, F. A. Amuda
    Journal Volume/Issue: Vol. 7, Issue 4 | Pages: 20–26
    ISSN: 2278-8719

 

Xifeng Xie | Engineering | Best Researcher Award

Prof. Xifeng Xie | Engineering | Best Researcher Award

Professor of Electrical Engineering at Southwest Jiaotong University, China

Prof. Xifeng Xie is a Professor at the School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China. He holds B.S. and M.S. degrees in Electrical Engineering from the same university and is currently pursuing a Ph.D. in Energy and Power Engineering. Since 2006, he has been actively engaged in academia and industry, with a professorship at Guangxi Vocational College of Water Resources and Electric Power since 2019. His research focuses on battery chargers, power electronic converters, and reactive power compensators. He has published 8 SCI/Scopus-indexed journal articles, authored 2 books, holds 7 patents, and has led several funded research and industry projects. Prof. Xie’s innovations—such as an isolated resonant voltage balancing circuit—have significantly improved system efficiency and reduced operational costs. He is also a reviewer for Hongshui River Magazine and a member of the Chinese Society for Electrical Engineering.

Profile:

🏛️ Institution & Designation:

Professor, School of Electrical Engineering
Southwest Jiaotong University, Chengdu, China

🎓 Academic Background:

Prof. Xie earned his B.S. and M.S. in Electrical Engineering from Southwest Jiaotong University in 2002 and 2006. He is currently pursuing a Ph.D. in Energy and Power Engineering at the same institution.

👨‍🏫 Professional Journey:

Since 2006, he has served at Guangxi Vocational College of Water Resources and Electric Power and became a full professor in 2019.

Research Areas:

His research focuses on:

  • 🔋 Battery chargers

  • 🔌 Power electronic converters

  • ⚙️ Reactive power compensators

🧠 Key Contributions:

He has developed an isolated resonant voltage balancing circuit and dead-time compensation strategy, leading to:

  • 🔽 Current unbalance reduced to 2.6%

  • ⚡ Power factor improved to 0.997

  • 🚀 Efficiency increased to 98.2%

  • 💰 Reduced component count and system costs

📊 Research & Innovation:

  • 🧪 Research Projects: 3 completed/ongoing

  • 🏭 Industry Projects: 5

  • 📖 Books Published: 2 (ISBN)

  • 🧾 Patents: 7 (published/under process)

  • 📚 Journals (SCI/Scopus): 8

  • ✍️ Editorial Role: Reviewer, Hongshui River Magazine

🌐 Collaborations & Memberships:

  • 🤝 Collaborator with the National Natural Science Foundation of China

  • 🎓 Distinguished Scholar Program of Guangxi Higher Education Institutions

  • 🔧 Member, Chinese Society for Electrical Engineering

Publication Top Notes:

  1. The Constant Power Transmission Control for Suppressing DC-Link Voltage Ripple Effect of Single-Phase AC–DC–AC Converter
    IEEE Transactions on Power Electronics, August 2025.
    DOI: 10.1109/TPEL.2025.3556470
    Authors: Minyang Zou, Linghui Meng, Jianglin Nie, Jiajin Li, Linzhe Li, Xiao Lv, Cheng Zhang, Xifeng Xie, Zeliang Shu

  2. Predictive Control Method with Conduction Mode Detection to Suppress Input Current Distortion of Three-Level Power Factor Correction
    IET Electric Power Applications, November 2024.
    DOI: 10.1049/elp2.12491
    Authors: Xifeng Xie, Zeliang Shu, Rongxin Chen, Jianghong Yin, Chunxiang Ling

 

Shubhangi Salokhe | Agricultural Marketing | Best Paper Award

Dr. Shubhangi Salokhe | Agricultural Marketing | Best Paper Award

Professor at MIMA Institute of Management, Pune, India

Dr. Shubhangi S. Salokhe is a distinguished academician and researcher with over 34 years of experience spanning teaching, research & development, academic administration, and industry collaboration. She holds two Ph.D. degrees—one in Marketing Management (Dr. D.Y. Patil Vidyapeeth, Pune) and another in Agricultural Biotechnology (Dr. PDKV, Akola), the latter of which included research at BARC, Mumbai.

Profile:

🎓 Academic Brilliance:

  • 🥇 Dual Ph.D. holder in:

    • Marketing Management (Best Thesis Award – Dr. D.Y. Patil Vidyapeeth, Pune)

    • Agricultural Biotechnology (Research conducted at BARC, Mumbai)

  • 🎓 Additional Degrees:

    • M.Sc. (Genetics & Plant Breeding)

    • MBA (Biotech Management)

    • MMM (Marketing), B.Sc. (Agriculture)

🧪 Research & Innovation:

  • 🌱 Developed tissue culture protocols for Sugarcane, Banana, Sugar Beet, Gerbera.

  • 🧫 Extensive experience in field trials, biotech commercialization, and R&D infrastructure setup.

  • 🤝 MoUs with global firms like Next2Sun (Germany) for solar-agriculture integration.

🏆 Awards & Recognition:

  • 🏅 InSc Research Excellence Award (2024)

  • 🏅 Krishibhushan Award (2024)

  • 🌍 Global Women Inspiration Award (2022)

  • 🥇 Best Doctoral Thesis Award (IARDO, 2019)

  • 👩‍🏫 Distinguished Professor, World Education Congress (2019)

  • 🏅 Multiple national awards for Academic Excellence and AgriTech Contributions

👩‍🏫 Leadership & Teaching:

  • 📚 34+ years in teaching, academic administration, and institutional development.

  • 🏛️ Held roles as:

    • Director at Pravara Institute of Agricultural Sciences (8 institutes)

    • Professor & Associate Director, MIMA Institute of Management

    • Dean (Academics) at MITCON Institute of Management

    • HR Head, Symbiosis Foundation

  • 🧭 Launched new programs, managed AICTE/NAAC/NBA processes, and led curriculum innovation.

🌐 Editorial & Reviewer Roles:

  • Reviewer for 8+ international journals, including:

    • IJARGE, Asia Pacific JML, Advances in Agriculture, IJAM, Journal of Agricultural Economics

  • 🎖️ Active contributor to peer-reviewed academic discourse globally.

🌱 Community & Entrepreneurship Impact:

  • 👩‍🌾 Led skill development for farmers, women entrepreneurs, and rural youth.

  • 🏭 Started food processing, dairy, vermicompost, nursery, and mushroom production units.

  • 💼 Completed consultancy projects worth ₹1.5 Crores.

📘 Subjects of Expertise:

  • 📈 Marketing & Agribusiness Management

  • 🧬 Biotechnology Management

  • 🚜 Agri-Tech & Post-Harvest Management

  • 👩‍💼 Entrepreneurship, Digital Marketing, Project Management

🏡 Personal Snapshot:

  • 🎂 Born on 12th May 1966

  • 🗣️ Languages: English, Hindi, Marathi

  • 🏠 Resides in Baner-Pashan Link Road, Pune

💬 Summary:

Dr. Shubhangi S. Salokhe exemplifies academic depth, innovation-driven research, and impactful leadership. With a rare combination of dual Ph.D.s, hands-on agricultural R&D, and cross-sector influence, she stands as an inspirational figure in the global education and research ecosystem.

📊 Citation Metrics (Google Scholar):

Cited by:

  • Total citations: 91

  • Since 2020: 69

h-index:

  • Overall: 5

  • Since 2020: 4

i10-index:

  • Overall: 2

  • Since 2020: 2

Publication Top Notes:

  • Farmers Producer Organization for Effective Linkage of Small Producers with Market
    International Journal of Applied Research, 2(10), 142–146, 2016. (Cited by: 35)

  • Development of an Efficient Protocol for Production of Healthy Sugarcane Seed Cane through Meristem Culture
    Journal of Agriculture and Food Research, 4, Article 100126, 2021. (Cited by: 22)

  • Branding of Agricultural Commodities / Products for Adding Value
    AGU International Journal of Management Studies & Research, 5, 348–358, 2017. (Cited by: 7)

  • Performance of Micro Propagated Sugarcane Seed
    Indian Sugar Journal, 1722(3), 2007. (Cited by: 6)

  • Junnar Taluka Farmers Producers Company Limited: A Case Study on Farmers Mobilization and Empowerment
    Perspectiva, 3, 37–48, 2017. (Cited by: 5)

  • Production of Disease-Free Quality Sugarcane Planting Material through Micropropagation
    International Journal of Innovative Research in Science and Engineering, 2, 2016. (Cited by: 5)

  • Problems and Prospects of Dairy Farming in Pune District
    Critical Reviews, 6(6), 2838–2839, 2019. (Cited by: 4)

  • Responsible Agricultural Inputs Marketing: A Key to Save Environment
    Indian Journal of Agricultural Research, 53(1), 39–44, 2019. (Cited by: 3)

  • Molecular Characterization of Different Soybean [Glycine max (L.) Merrill] Genotypes by RAPD Markers
    Journal of Biotechnology & Bioinformatics Research, 4(4), 1–6, 2022. (Cited by: 2)

  • Biotechnological Approaches for Sugarcane Improvement
    Bhartiya Sugar Journal, 35–39, 1999. (Cited by: 2)

  • Uncovering the Impact of Technology-Driven Services on Boosting Farmer Producer Organizations (FPO) Growth: A Glimpse into the Promising Future of Indian Agriculture
    Indian Journal of Agricultural Research, Forthcoming, 2025.

  • Branding Healthcare: Exploring Effective Approaches
    International Journal of Healthcare Management, Forthcoming, 2025.

  • Using Instagram as a Marketing Tool for the Promotion of Bollywood Films
    Critical Reviews, 6(5), 439–447, 2025.

  • The Significance of Biotechnology in Agriculture
    Medicon Agriculture & Environmental Sciences, 7(4), 2024.

  • MDH Controversy: The King of Masala is Under the Scanner in International Markets
    Journal of the International Academy for Case Studies (Scopus-indexed), 2024.

  • Unveiling the Complexities of the Agricultural Marketing System in India: A Crucial Step Towards an Efficient Marketing System
    Agriculture Science Digest, 1, 1–8, 2024.

  • Exploring Challenges Faced by Farmers in Participating in Farmers’ Producer Organizations: Understanding the Key Issues Impacting FPO Success – A Review
    Indian Journal of Agricultural Research, 1, 2024.

  • Selection of Suitable Potting Mix for Hardening of Tissue Cultured Sugarcane Plantlets in Greenhouse
    Journal of Biotechnology & Bioresearch, 4(3), 551–553, 2023.

  • Precision Farming for Sustainable Development of Agriculture in India
    Journal of Agricultural Sciences, 15(10), 12709–12713, 2023.

 

Poalo Antonio Netti | Mechanobiology | Best Researcher Award

Prof. Dr. Poalo Antonio Netti | Mechanobiology | Best Researcher Award

Istituto Italiano di Tecnologia, Italy

Prof. Paolo Antonio Netti is a leading expert in biomaterials and bioengineering, currently Full Professor at the University of Naples “Federico II” and Director of the Centre for Advanced Biomaterials for Health Care at the Istituto Italiano di Tecnologia (IIT). He holds a Ph.D. in Chemical Engineering from the same university and completed postdoctoral research at Harvard University and MIT.

Profile:

🎓 Education:

  • Ph.D. in Chemical Engineering – University of Naples Federico II (1994)

  • M.Sc. in Chemical Engineering – University of Naples Federico II (1990)

🏫 Academic & Research Roles:

  • Full Professor of Bioengineering (since 2016), University of Naples Federico II

  • Director, Centre for Advanced Biomaterials for Health Care, IIT (since 2009)

  • Former Director, Interdisciplinary Research Centre on Biomaterials (CRIB)

  • Teaching Coordinator – Master Degrees in Industrial Bioengineering & Materials Engineering

  • Postdoctoral Fellow – Harvard University & MIT, USA (1994–1996)

🧬 Research Interests:

  • Biomaterials for healthcare, tissue regeneration, nanomedicine & diagnostics

  • Tissue engineering, advanced drug delivery systems, and cell-instructive microenvironments

  • Development of microfluidic platforms, biosensors, and biofabrication technologies

🏅 Honors & Recognitions:

  • 🏆 Jean Leray Award, European Society for Biomaterials (1998)

  • 🇮🇹 Commendatore della Repubblica Italiana for scientific merits (2007)

  • 🎓 Fellow, Biomaterials Science and Engineering (FBSE)

  • 🌍 Fellow, European Alliance for Medical and Biomedical Engineering and Science (EAMBES)

  • 🎖 Chair, ERC PE5 Panel (2015–2018)

  • 👨‍💼 President, Italian National Bioengineering Group (GNB) since 2021

📊 Impact & Publications:

  • 📚 450+ scientific papers, 30+ book chapters, and 30+ patents

  • 🧪 Published in Inorganic Chemistry, ACS Biomaterials, Scientific Reports, Biofabrication, etc.

  • 📈 15,000+ citations – recognized as a key figure in expanding the biomaterials paradigm

🌐 Community & Leadership:

  • 💡 Member of EU Scientific Panels for Biomaterials Research (FP7)

  • 📌 Contributor to the Italian National Research Program (PNR 2020–2026)

  • 🧪 Scientific coordinator in national/international biomedical engineering initiatives

📊 Citation Metrics Summary – Prof. Paolo Antonio Netti:

  • Total Citations: 20,389

  • Cited Documents: 15,564

  • Total Publications: 601

  • h-index: 73

Publication Top Notes:

  • Regulation of nuclear deformation via spatiotemporal modulation of cytoskeleton forces on photo-switchable surfaces
    Biomaterials, 2026. DOI: 10.1016/j.biomaterials.2025.123512

  • In-flow motion dynamics for mechanical-based clustering of cells under different compression conditions
    Book Chapter, 2024. DOI: 10.1007/978-3-031-55315-8_29

  • Carbon quantum dots in breast cancer modulate cellular migration via cytoskeletal and nuclear structure
    Nanotoxicology, 2024. DOI: 10.1080/17435390.2024.2419418

  • Bioprinting of human dermal microtissues precursors as building blocks for endogenous in vitro connective tissue manufacturing
    Biofabrication, 2024. DOI: 10.1088/1758-5090/ad3aa5

  • Development of an azobenzene-based cell culture photoresponsive platform for in situ modulation of surface topography in wet environments
    ACS Applied Materials & Interfaces, 2024. DOI: 10.1021/acsami.4c04186

  • Capturing the spatial and temporal dynamics of tumor stroma for on-chip optimization of microenvironmental targeting nanomedicine
    Lab on a Chip, 2023. DOI: 10.1039/D2LC00611A

  • Wide-range viscoelastic compression forces in microfluidics to probe cell-dependent nuclear structural and mechanobiological responses
    Journal of The Royal Society Interface, 2022. DOI: 10.1098/rsif.2021.0880

  • Coupled hydrodynamic flow focusing (cHFF) to engineer lipid–polymer nanoparticles (LiPoNs) for multimodal imaging and theranostic applications
    Biomedicines, 2022. DOI: 10.3390/biomedicines10020438

  • Decellularized matrices for tumor cell modeling
    Methods in Cell Biology, 2020. DOI: 10.1016/bs.mcb.2019.11.015

  • Dynamic manipulation of cell membrane curvature by light-driven reshaping of azopolymer
    Nano Letters, 2020. DOI: 10.1021/acs.nanolett.9b04307

  • Engineered β-hairpin scaffolds from human prion protein regions: Structural and functional investigations of aggregates
    Bioorganic Chemistry, 2020. DOI: 10.1016/j.bioorg.2020.103594

 

Beulah Sujan Karumanchi | Engineering | Best Researcher Award

Ms. Beulah Sujan Karumanchi | Engineering | Best Researcher Award

Research Scholar at  National Institute of Technology Andhra Pradesh, India

Dr. Beulah Sujan K is a researcher in Wireless Communication Networks with a Ph.D. in Heterogeneous Cognitive Radio Networking from NIT Andhra Pradesh. Her expertise spans dynamic spectrum access, soft fusion schemes, and automated frequency coordination. She holds an M.Tech in ECE (MEMS) from Pondicherry University and a B.Tech in ECE from Acharya Nagarjuna University, both with distinction.

Profile:

🎓 Academic Background:

  • Ph.D. in Heterogeneous Cognitive Radio Networking, NIT Andhra Pradesh

  • M.Tech (ECE – MEMS), Pondicherry University – CGPA: 9.22/10

  • B.Tech (ECE), Acharya Nagarjuna University – CGPA: 9.2/10

🧠 Core Skills:

  • Mathematical Analysis

  • Numerical Methods

  • Algorithm Design

  • Monte Carlo Simulations

  • Performance Evaluation

🔍 Research Interests:

  • Wireless Communication Networks

  • Dynamic Spectrum Access

  • Soft Fusion Techniques

  • Cognitive Radio Networks

  • Automated Frequency Coordination Systems

🧪 Technical Proficiency:

  • MATLAB

  • Optimization Algorithms

  • Intellisuite Software

  • LaTeX for Technical Documentation

📚 Teaching & Mentorship:

  • Courses: Analog & Digital Communications, Wireless Communications, Signals & Systems

  • Labs: Communication Systems, LICA Lab

  • Mentoring UG/PG students in advanced communications

🏅 Achievements:

  • 🏆 UGC-NET Qualified (2018, 2019, 2024)

  • 🎯 GATE Qualified (2023)

  • 🎓 PG Merit Scholarship (2017)

  • 🥈 Silver Medal – State-Level Tech Quiz (2015)

  • 🥇 Gold Medal – Technical Quiz (2014)

📄 Key Publications:

  • IEEE, Springer, and SCI-indexed journals

  • Topics: Cognitive Radio, Spectrum Sensing, MEMS, Soft Fusion

  • Recent work under review in IEEE Transactions on Cognitive Communications and Signal Processing

Publication:

Efficient spectrum allocation by heterogeneous automated frequency coordination network within 6 GHz band

Mohammad Azim Eirgash | Civil engineering | Best Researcher Award

Dr. Mohammad Azim Eirgash | Civil engineering | Best Researcher Award

Ph.D at Karadeniz Technical University, Turkey

Dr. Mohammad Azim Eirgash is a Ph.D. researcher in Construction Management at Karadeniz Technical University (Türkiye), with dual citizenship in Afghanistan and Türkiye. He holds a Ph.D. and MSc from KTÜ and a B.Tech in Civil Engineering from the National Institute of Technology Warangal (India). His research focuses on multi-objective optimization, artificial intelligence in construction project scheduling, and time-cost-quality-CO₂ trade-off problems.

Profile:

🎓 Academic Background:

  • Ph.D. in Construction Management – Karadeniz Technical University, Türkiye (2019–2024)

  • M.Sc. in Construction Management – KTÜ, Türkiye (2015–2018)

  • B.Tech. in Civil Engineering – NIT Warangal, India (2010–2014)

  • Scholarships: ICCR (India) 🇮🇳 and Türkiye Bursları 🇹🇷

🧠 Research Focus & Skills:

  • Specializations:

    • Multi-objective Optimization

    • AI & Machine Learning in Project Scheduling

    • Time-Cost-Quality-CO₂ Trade-off Models

    • Metaheuristic Algorithms (e.g., TLBO, Jaya, Rao)

  • Software Tools: Primavera P-7, MATLAB, Python 🐍

📈 Scientific Achievements:

  • h-index: 9

  • Total Citations: 317

    • Scopus: 184

    • Web of Science: 105

  • Publications:

    • 20+ peer-reviewed articles in Q1/Q2 journals

    • 5+ national/international conferences

    • Springer Book Chapter Contributor

🏆 Awards & Recognition:

  • 🥇 Young Scientist Award – International Young Scientist Awards 2022

  • ✍️ Reviewer for top journals:

    • Automation in Construction, Scientific Reports, Applied Soft Computing

🏗️ Professional Roles:

  • Karadeniz Technical University – Researcher

  • Baybars YAPI, Türkiye – Construction Consultant

  • Lord Tech Datus, India – Research Consultant

  • TEOREM LTD, Türkiye – Educator & Engineer

🌍 Global Research Impact:

Dr. Eirgash is a rising expert in integrating artificial intelligence with construction management. His international background and collaborations across India, Türkiye, and Europe highlight his global mindset and practical contributions to smart infrastructure and sustainable project planning.

Publication Top Notes:

  1. Time–cost trade-off optimization in generalized construction projects using an opposition learning-augmented multi-objective Jaya algorithm
    Asian Journal of Civil Engineering, 2025-06-23
    DOI: 10.1007/s42107-025-01401-z

  2. Optimization of time–cost–quality–CO₂ emission trade-off problems via super oppositional TLBO algorithm
    Asian Journal of Civil Engineering, 2025-04
    DOI: 10.1007/s42107-025-01282-2

  3. Influence of jumping rate on opposition-based Jaya algorithm for discrete time–cost trade-off optimization problems
    Uludağ University Journal of The Faculty of Engineering, 2025-04-11
    DOI: 10.17482/uumfd.1561366

  4. Optimizing time–cost in construction projects using modified quasi-opposition learning-based multi-objective Jaya optimizer and multi-criteria decision-making methods
    Asian Journal of Civil Engineering, 2025-03
    DOI: 10.1007/s42107-024-01235-1

  5. A dual opposition learning-based multi-objective Aquila Optimizer for trading-off time–cost–quality–CO₂ emissions of generalized construction projects
    Engineering Computations, 2024-10-10
    DOI: 10.1108/EC-01-2024-0043

  6. A novel oppositional teaching learning strategy based on the golden ratio to solve the time–cost–environmental impact trade-off optimization problems
    Expert Systems with Applications, 2023
    DOI: 10.1016/j.eswa.2023.119995

  7. Modified dynamic opposite learning assisted TLBO for solving time–cost optimization in generalized construction projects
    Structures, 2023
    DOI: 10.1016/j.istruc.2023.04.091

  8. A multi-objective decision-making model based on TLBO for the time–cost trade-off problems
    Structural Engineering and Mechanics, 2019
    DOI: 10.12989/sem.2019.71.2.139

  9. Time–cost trade-off optimization of construction projects using teaching learning-based optimization
    KSCE Journal of Civil Engineering, 2019
    DOI: 10.1007/s12205-018-1670-6

  10. Time–cost trade-off optimization with a new initial population approach
    Teknik Dergi (Technical Journal of Turkish Chamber of Civil Engineers), 2019
    DOI: 10.18400/TEKDERG.410934

 

Rui Miao | Artificial Intelligence | Best Researcher Award

Assoc. Prof. Dr. Rui Miao |  Artificial Intelligence | Best Researcher Award

Associate Researcher at Zhejiang Lab, China

Dr. Rui Miao is an Associate Researcher at Zhejiang Lab, specializing in artificial intelligence and image processing. He earned his Ph.D. in Engineering from Beihang University in 2022 and began postdoctoral research the same year, focusing on multi-modal cross-domain image enhancement for intelligent navigation systems across air, land, and water. Dr. Miao has led or participated in 7 research projects, published in top-tier journals such as IEEE Transactions on Geoscience and Remote Sensing and Pattern Recognition, and holds 28 patents (published or pending). His work contributes significantly to intelligent visual systems and applied AI.

Profile:

👨‍🎓 Academic Background

Dr. Rui Miao earned his Ph.D. in Engineering from Beihang University in 2022. He is currently an Associate Researcher at Zhejiang Lab, China.

🧠 Research Focus

His work explores cutting-edge areas such as:

  • Multimodal Image Processing

  • AI-based Image Generation & Matching

  • Visual Enhancement for Intelligent Systems

  • Model Inference Acceleration

🧪 Research Contributions

Dr. Miao has contributed to 7 major research projects and published impactful papers in top-tier journals like:

  • IEEE Transactions on Geoscience and Remote Sensing (TGRS)

  • Pattern Recognition (PR)

🔬 Innovations & Patents:

He has filed or published 28 patents, focusing on advanced image enhancement algorithms tailored for cross-domain AI perception systems used in air, land, and water navigation.

📚 Publications & Recognition:

While still early in his academic journey, Rui’s innovative work has already gained visibility in the scientific community, although citation metrics and editorial roles are still forthcoming.

Publication:

“Attention-Guided Progressive Frequency-Decoupled Network for Pan-Sharpening”
IEEE Transactions on Geoscience and Remote Sensing, 2024.
DOI: 10.1109/TGRS.2024.3376730
Authors: Rui Miao, Hang Shi, Fengguang Peng, Siyu Zhang

 

 

Omar Alqaisi | Oncology | Best Research Article Award

Mr. Omar Alqaisi | Oncology | Best Research Article Award

Al Zaytoonah University, Jordan

Mr. Omar M. Al-Qaisi is an experienced Clinical Nursing Instructor and Registered Nurse based in Amman, Jordan. With over five years of professional experience, he has worked extensively in emergency, ICU, and medical-surgical settings at Queen Alia Hospital under the Royal Medical Services. Omar also serves as a Clinical Instructor at Al Zaytoona University, where he has significantly contributed to nursing education through innovative teaching, simulation-based learning, and student mentorship.

Profile:

💼 Work Experience:

  • Emergency Room RNQueen Alia Hospital: Skilled in de-escalation, team training, and emergency protocols.

  • Clinical InstructorAl Zaytoona University:

    • Foundation of Nursing

    • Physical Assessment
      Designed simulation-based training, mentored instructors, and integrated real-world case studies into academic teaching.

  • Medical ICU & Surgical RNQueen Alia Hospital: Assisted in advanced procedures, provided acute care during critical situations.

🎓 Education:

  • Master’s in Clinical Assessment (Adults)Al-Zaytoona University 🏅 Excellence

  • Bachelor’s in Nursing (RN)Al-Zaytoona University 🎓 Very Good

📚 Research Contribution:

  • 📝 Published Article:
    “Quality of Postoperative Pain Management in Orthopedic Patients and Its Impact on Sleep Quality and Patient Satisfaction: An Integrative Review”
    📖 Read Article

🏅 Certifications & Courses:

  • BLS & ACLS ✅

  • Pre-Hospital Trauma Life Support (PHTLS) 🚑

  • Communication & Guest Relations 🗣️

🧩 Core Competencies:

  • Clinical Education & Academic Advising 🎓

  • Emergency & Acute Care 🚨

  • Patient-Centered Care & Assessment 🩺

  • Health Promotion & Pain Management 💊

  • Compliance (JCI, HIPAA) 📋

🧠 Soft Skills:

  • Critical Thinking & Decision-Making 🧠

  • Adaptability in High-Pressure Situations ⚡

  • Interdisciplinary Collaboration 🤝

  • Medical Documentation Precision 📄

Publication:

Oncology Nurses’ Attitudes, Knowledge, and Practices in Providing Sexuality Care to Cancer Patients: A Scoping Review
Published in Current Oncology, June 2025
DOI: 10.3390/curroncol32060337
Authors: Omar Alqaisi, Maha Subih, Kurian Joseph, Edward Yu, Patricia Tai
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)

 

 

You Zhang | Engineering | Best Researcher Award

Mr. You Zhang | Engineering | Best Researcher Award

University of Rochester, United States

Dr. You (Neil) Zhang is a Ph.D. candidate in Electrical and Computer Engineering at the University of Rochester, specializing in machine learning for speech, acoustics, and audio signal processing. His research focuses on spatial audio (HRTF personalization), speech anti-spoofing, singing voice deepfake detection, and audio-visual learning. He has held research roles at Dolby, Meta, Microsoft, Tencent, and Bytedance, contributing significantly to areas like perceptual HRTF modeling and audio-visual deepfake detection.

Profile:

🎓 Education:

  • Ph.D. in Electrical & Computer Engineering (Expected 2025)
    University of Rochester

  • M.S., University of Rochester

  • B.Eng., University of Electronic Science & Technology of China

  • Exchange Program, UC Berkeley

🧠 Research Interests:

  • Spatial Audio & HRTF Personalization 🎧

  • Speech Deepfake Detection & Audio Security 🔐

  • Multimodal Learning: Audio-Visual & Emotional Speech Synthesis 🎥🗣️

🏆 Honors & Fellowships:

  • IEEE SPS Scholarship (2024)

  • NIJ Graduate Research Fellowship (2023)

  • ICASSP Rising Star in Signal Processing (2023)

  • Open Scholarship Award @ UR (2025)

🧪 Research & Industry Experience:

  • Dolby Labs 🎶 – Sr. Researcher, Multimodal Spatial Audio

  • Meta Reality Labs 🧠 – HRTF Perceptual Learning

  • Microsoft, Tencent, ByteDance, IngenID 💼 – AI R&D Internships

  • Audio Information Research Lab, UR 🎙️ – Deepfake Detection, AV Speech, HRTF Neural Fields

📚 Selected Publications:

  • IEEE T-MM, SPL, ICASSP, Interspeech, NAACL

  • Co-organizer of SVDD Challenge at SLT 2024 & MIREX 2024

  • Contributor to Handbook of Biometric Anti-spoofing (Springer)

🎤 Talks & Tutorials:

  • Invited speaker at CMU, NII Japan, ISCA SPSC

  • Tutorials @ ASA, ICME, AES (Topics: HRTF, Deepfakes, ML for Acoustics)

🎓 Teaching & Mentorship:

  • TA for Machine Learning, Audio Signal Processing, Random Processes

  • Mentored 10+ undergrad and graduate students in UR, Tsinghua, UESTC

💼 Professional Service:

  • Reviewer for IEEE TASLP, TPAMI, ICASSP, Interspeech, CVPR Workshops

  • Member: IEEE, ASA, ACM, AES

  • DEI Committee @ UR ECE | Organizer of AR/VR Events

💻 Skills:

  • Programming: Python, MATLAB, C, Java

  • Tools: Git, Linux, PyTorch, Slurm

  • Languages: English 🇺🇸, Mandarin 🇨🇳

🏃 Hobbies & More:

  • Half-Marathon Finisher 🏅

  • Loves stand-up paddleboarding, travel, badminton 🌊✈️🏸

Google Scholar Citation Metrics:

  • Citations: 751 (All time) | 751 (Since 2020)

  • h-index: 12 (All time) | 12 (Since 2020)

  • i10-index: 14 (All time) | 14 (Since 2020)

Publication Top Notes:

  1. One-class Learning Towards Synthetic Voice Spoofing Detection
    Y. Zhang, F. Jiang, Z. Duan
    IEEE Signal Processing Letters, vol. 28, pp. 937–941, 2021.

  2. Speech Driven Talking Face Generation from a Single Image and an Emotion Condition
    S.E. Eskimez, Y. Zhang, Z. Duan
    IEEE Transactions on Multimedia, vol. 24, pp. 3480–3490, 2021.

  3. UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021
    X. Chen, Y. Zhang*, G. Zhu*, Z. Duan
    ASVspoof 2021 Workshop, 2021.

  4. SingFake: Singing Voice Deepfake Detection
    Y. Zang, Y. Zhang*, M. Heydari, Z. Duan
    IEEE ICASSP, 2024.

  5. An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems
    Y. Zhang, G. Zhu, F. Jiang, Z. Duan
    Interspeech, pp. 4309–4313, 2021.

  6. SAMO: Speaker Attractor Multi-Center One-Class Learning for Voice Anti-Spoofing
    S. Ding, Y. Zhang, Z. Duan
    IEEE ICASSP, 2023.

  7. A Probabilistic Fusion Framework for Spoofing Aware Speaker Verification
    Y. Zhang, G. Zhu, Z. Duan
    Odyssey: The Speaker and Language Recognition Workshop, pp. 77–84, 2022.

  8. Global HRTF Personalization Using Anthropometric Measures
    Y. Wang, Y. Zhang, Z. Duan, M. Bocko
    Audio Engineering Society (AES) 150th Convention, 2021.

  9. Rethinking Audio-Visual Synchronization for Active Speaker Detection
    A. Wuerkaixi, Y. Zhang, Z. Duan, C. Zhang
    IEEE MLSP, 2022.

  10. CtrSVDD: A Benchmark Dataset and Baseline Analysis for Controlled Singing Voice Deepfake Detection
    Y. Zang, J. Shi, Y. Zhang, et al.
    Interspeech, pp. 4783–4787, 2024.

  11. VERSA: A Versatile Evaluation Toolkit for Speech, Audio, and Music
    J. Shi, H. Shim, J. Tian, Y. Zhang, et al.
    NAACL (Demo Track), 2025.

  12. HRTF Field: Unifying Measured HRTF Magnitude Representation with Neural Fields
    Y. Zhang, Y. Wang, Z. Duan
    IEEE ICASSP, 2023.

  13. SVDD 2024: The Inaugural Singing Voice Deepfake Detection Challenge
    Y. Zhang, Y. Zang, J. Shi, R. Yamamoto, T. Toda, Z. Duan
    IEEE SLT, pp. 782–787, 2024.

  14. DyViSE: Dynamic Vision-Guided Speaker Embedding for Audio-Visual Speaker Diarization
    A. Wuerkaixi, K. Yan, Y. Zhang, Z. Duan, C. Zhang
    IEEE MMSP, 2022.

  15. Predicting Global Head-Related Transfer Functions from Scanned Head Geometry Using Deep Learning and Compact Representations
    Y. Wang, Y. Zhang, Z. Duan, M. Bocko
    arXiv preprint, arXiv:2207.14352, 2022.

  16. Learning Arousal-Valence Representation from Categorical Emotion Labels of Speech
    E. Zhou, Y. Zhang, Z. Duan
    IEEE ICASSP, 2024.

  17. SVDD Challenge 2024: A Singing Voice Deepfake Detection Challenge Evaluation Plan
    Y. Zhang, Y. Zang, J. Shi, et al.
    arXiv preprint, arXiv:2405.05244, 2024.

  18. ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech
    X. Wang, H. Delgado, Y. Zhang, et al.
    Computer Speech & Language, 2025.

  19. Emotional Dimension Control in Language Model-Based Text-to-Speech: Spanning a Broad Spectrum of Human Emotions
    K. Zhou, Y. Zhang, S. Zhao, et al.
    arXiv preprint, arXiv:2409.16681, 2024.

  20. Mitigating Cross-Database Differences for Learning Unified HRTF Representation
    Y. Wen, Y. Zhang, Z. Duan
    IEEE WASPAA, 2023.

 

Samira Binte Saif | Landscape | Excellence in Research Award

Ms. Samira Binte Saif | Landscape | Excellence in Research Award

Banker (Senior Officer) at University of Dhaka, Bangladesh

Ms. Samira Binte Saif is a Senior Officer at Islami Bank Bangladesh PLC and an accomplished interdisciplinary researcher with expertise in economics, statistics, marketing, and finance. She holds multiple postgraduate degrees, including a Master’s in Entrepreneurship Economics from the University of Dhaka, an MBA in International Marketing from Wrexham Glyndwr University (UK), and an MSc in Statistics. Her academic profile is further enriched by numerous postgraduate diplomas in areas such as Islamic finance, computer science, supply chain management, and human resource development.

Profile:

🎓 Academic Qualifications:

  • MSc in Statistics, Biostatistics & Informatics – University of Dhaka (2008)

  • MBA in International Marketing – Wrexham Glyndwr University, UK (2021)

  • Master’s in Entrepreneurship Economics – University of Dhaka (2022)

  • BBA in HRM – Royal University of Dhaka (2019)

  • BSc in Statistics – University of Dhaka (2006)

📜 Professional & Postgraduate Diplomas:

  • ACCA Diploma (UK)

  • PGDs in Islamic Finance, Risk & Compliance, HRM, Supply Chain, Computer Science, and more

  • Diplomas from IBTRA and Institute of Bankers Bangladesh

🏆 Awards & Recognitions (2024–2025):

  • 🥇 Research Excellence Award (IACRD) – 2024 & 2025

  • 🌟 Best Researcher in Economics, Entrepreneurship, MIS – Asia Research Awards

  • 🧠 Cross-Disciplinary Innovation Award – World Top Scientists

  • 👩‍🔬 Women Researcher Award – Science Father

  • 🌍 Environmental Scientists Award – Science Father

  • 🏅 Best Scholar Award – International Research on Civil & Environmental Engineering

📚 Research & Publications:

  • 16+ peer-reviewed international publications in areas such as:

    • Technology Acceptance Model (TAM), UTAUT

    • Digital Economy, AI in Banking

    • Trade & SME Development

    • Environmental & Social Sustainability

    • m-Health, CRM, Ride-Sharing Platforms

🖋️ Editorial & Reviewer Roles:

  • Reviewer: IGI Global, Academia.edu

  • Editorial Board Member: DK International Research Foundation

👩‍🏫 Teaching Role:

  • Senior Instructor – Academy of Business Professionals (2025–present)

🌐 Research Impact:

  • Strong contributions to Bangladesh’s development sectors through applied and interdisciplinary research

  • Bridging the gap between academia, banking, and sustainable development

Publication Top Notes:

  • Growth, Development and Selected Social Sustainability Challenges Facing the Bangladesh Export Garment Industry
    Businesses, MDPI, 2025-03-20
    DOI: 10.3390/businesses5010015
    Contributors: Samira Binte Saif, Anisul M. Islam

  • Analysis the Role of Artificial Intelligence in the Customer Care Service of Islami Bank Bangladesh PLC Using TAM
    Indo American Journal of Multidisciplinary Research and Review (IAJMRR), 2024-11-05
    Contributor: Samira Binte Saif

  • Impact of Tannery Waste on Social-Ecological Balance and Sustainable Development of Bangladesh
    Indo American Journal of Multidisciplinary Research and Review (IAJMRR), 2024-11-05
    Contributor: Samira Binte Saif

  • Approach/Mindset of Students Towards Online Study in Bangladesh Educational Institute: An Application of Technology Acceptance Model
    Book Chapter in Encyclopedia of Information Science and Technology, Sixth Edition, 2024-07-01
    DOI: 10.4018/978-1-6684-7366-5.ch093
    Contributor: Samira Binte Saif

  • Present Status of the Blue, Green and Digital Economy of Bangladesh: Challenges & Prospects
    International Journal of Trade and Commerce-IIARTC, 2024-06-29
    Contributor: Samira Binte Saif

  • Prospect, Barriers and Export Performances of Small Medium Enterprise of Bangladesh
    International Journal of Trade and Commerce-IIARTC, 2023-06-30
    Contributor: Samira Binte Saif

  • A Collaborative Study of Foreign Trade and Economic Performance of India With Southeast Asian Countries
    Book Chapter in Handbook of Research on Emerging Business Models and the New World Economic Order, 2022
    DOI: 10.4018/978-1-7998-5774-7.ch014
    Contributor: Samira Binte Saif

  • International Organization’s Humanitarian Coordination and Activities in the Sector of Micro, Medium and Small Enterprises in Bangladesh
    International Journal of Trade and Commerce-IIARTC, 2022-06-29
    Contributor: Samira Binte Saif

  • Technology-Based Entrepreneurship and Its Prospect in Bangladesh
    International Journal of Trade and Commerce-IIARTC, 2021-06-24
    Contributor: Samira Binte Saif