Zhiwen Li| Quantum Optics | Best Researcher Award

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Mr. Zhiwen Li| Quantum Optics | Best Researcher Award

Nanjing University China

Zhiwen Li is a Master’s student in Optical Engineering at Nanjing University, specializing in computational optics, quantum optics, and optical field manipulation. His research integrates optics and machine learning to enhance system design and performance. With three Chinese invention patents, he showcases both theoretical expertise and practical innovation. His projects include optimizing phase masks in digital holography, applying AI techniques to optical system design, and advancing quantum optics for optical field control. His work has led to multiple publications in prestigious journals and conferences. Through his dedication, he continues to push the boundaries of computational optics.

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🎓 Education 

Zhiwen Li is pursuing a Master’s degree in Optical Engineering at the College of Engineering and Applied Sciences, Nanjing University. His academic journey focuses on computational optics, quantum optics, and machine learning applications in optical engineering. His coursework and research emphasize the intersection of artificial intelligence with optics, aiming to revolutionize optical system design and field manipulation. His studies provide him with a strong foundation in advanced optical technologies, allowing him to develop novel solutions for real-world optical challenges. His academic excellence is reflected in his research contributions, patents, and technical expertise.

💼 Experience 

Zhiwen has engaged in various research projects, including optimizing phase masks in digital holography and applying machine learning to enhance optical system performance. His experience in quantum optics enables him to develop innovative approaches for controlling optical fields. He has collaborated on multiple research papers and presented findings at international conferences. His hands-on experience extends to designing and implementing computational models that bridge optics and artificial intelligence. His ability to merge theoretical knowledge with practical applications demonstrates his expertise in advancing optical engineering. His research contributions continue to drive innovation in computational optics.

🏆 Awards & Honors 

Zhiwen Li holds three Chinese invention patents related to advancements in optical engineering and quantum optics. His research contributions have earned recognition through multiple publications in esteemed journals and conferences. His innovative work in integrating machine learning with optics has positioned him as a promising researcher in the field. He has received accolades for his contributions to optical system design and computational modeling. His achievements reflect his dedication to pushing the boundaries of optical science and engineering, making significant strides in both theoretical and applied optics.

🔬 Research Focus 

Zhiwen’s research centers on computational optics, quantum optics, and machine learning applications in optical engineering. He explores innovative methods to optimize phase masks in digital holography and enhance optical system performance using AI-driven techniques. His work in quantum optics aims to develop novel approaches for manipulating optical fields, contributing to advancements in photonics and imaging technologies. His interdisciplinary approach bridges optics and artificial intelligence, offering new possibilities for optical system design and real-world applications. Through his research, he seeks to expand the frontiers of computational optics and its applications in modern technology.

Conclusion

Zhiwen Li is a strong contender for the Best Researcher Award, given his interdisciplinary expertise, innovative contributions, and research excellence. Strengthening his global impact and leadership roles could further solidify his position as a top researcher in computational optics.

Publication

  • Title: “A Hybrid Diffractive Optical Element Design Algorithm Combining Particle Swarm Optimization and a Simulated Annealing Algorithm”​

  • Authors: Ping Su, Chao Cai, Yuming Song, Jianshe Ma, and Qiaofeng Tan​

  • Year: 2020​

  • Journal: Applied Sciences​

  • DOI: 10.3390/app10165485

Shivam Madrewar | Agriculture General | Young Scientist Award

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Mr. Shivam Madrewar | Agriculture General | Young Scientist Award

Student, Mahatma Phule Krushi Vidyapeeth, Rahuri.

Shivam Satyawan Madrewar is a dedicated agricultural student with a strong academic background, excelling in research, agricultural marketing, and leadership roles. Passionate about writing, public speaking, and innovation, he has founded and mentored various academic clubs at R.C.S.M. College of Agriculture, Kolhapur. His expertise spans meteorology, geospatial technology, and AI/ML applications in agriculture. Shivam is an NCC cadet and an active participant in national and state-level research and debate competitions. With a knack for effective time management, he balances academic excellence with interests in book reading and bike riding. His research focuses on sustainable agricultural practices, agripreneurship, and innovative farming technologies. A persuasive speaker and critical thinker, he has secured numerous awards for academic and extracurricular achievements. As a research fellow and award-winning innovator, he continues to contribute to the agricultural sector with innovative problem-solving approaches, aiming to bridge the gap between technology and practical farming solutions.

Profile

Scholar

🎓 Education 

Shivam Satyawan Madrewar completed his B.Sc. (Hons.) in Agriculture (2020-2024) from R.C.S.M. College of Agriculture, Kolhapur, MPKV Rahuri, with a CGPA of 7.92 (First Class). He earned a Diploma in Meteorology from Alison University, USA, with a distinction (90%). His pre-university education includes HSC (74.92%, First Class) from Sadashivrav Mane Vidyalaya, Akluj (2020) and SSC (90.40%, Distinction) from Jath High School, Jath (2018). He has completed multiple certified courses in AI/ML for geodata analysis, LIDAR processing, geospatial technology for digital agriculture, carbon taxation, project management, and operational procurement. Shivam has also undertaken specialized training from IIRS-ISRO and the World Bank, equipping him with technical expertise in GIS, remote sensing, and supply chain management. His diverse academic pursuits reflect a strong foundation in both theoretical and applied agricultural sciences, preparing him for leadership in agricultural research and technology-driven innovations.

🏆 Experience 

Shivam has hands-on experience through various academic and research engagements, including the RAWE Programme under ICAR, New Delhi (Jan-May 2024), where he led field-based agricultural studies. He also worked in the ELP-Botany program at R.C.S.M. College of Agriculture, Kolhapur (Jul-Dec 2023), gaining expertise in plant sciences. His leadership experience includes serving as a mentor and co-founder of the Innovation and Incubation Club and the Eloquence Club. As an active reviewer for IJCRT, he contributes to academic research. Additionally, he has held key positions in Agricos Career Development Forum and served as an NCC Cadet (‘B’ & ‘C’ Certificate holder). His participation in national research and youth festivals has further honed his analytical and presentation skills. His practical exposure to agripreneurship, GIS applications, and precision farming positions him as a promising innovator in sustainable agriculture and rural development.

🏅 Awards & Honors

Shivam has received several prestigious awards, including the Pioneering Young Agricultural Scientist award at Krishithon-2024 for his contributions to agricultural research. He was honored as a Budding Innovator at Krushi Vigyan Vidhi 1.0 (KVV) by IIT Ropar for his work on sodic soil solutions. He won cash prizes of ₹50,000 and ₹1,00,000 at KVV for agricultural innovations. Other accolades include a Gold Medal in Poster Presentation (AISSMS CoE, Pune), Silver Medal in Sci-Tech Villagethon, and Outstanding Research Award at SCITECH-VILLAGETHON. He represented MPKV Rahuri at the Maharashtra State Inter-University Youth Festival, clearing 6th rank in Quiz and 9th in Debate. He also secured a Silver Medal at the Maharashtra State Youth Festival in Agriproducts. His national-level participation in Indradhanushya, Aavishkar, and the National Youth Festival highlights his excellence in research, leadership, and innovation.

🔬 Research Focus 

Shivam’s research interests lie in precision agriculture, sustainable farming, geospatial technology, and agripreneurship. He specializes in AI/ML applications in agriculture, carbon footprint reduction, and climate-resilient farming techniques. His projects include Calfate and Fighter Tagetes, awarded at IIT Ropar’s Krushi Vigyan Vidhi for their impact on soil enhancement and pest management. His research extends to GIS-based precision farming, hydroponics, and organic-based soil amendments. He actively explores meteorological impacts on crop yields and disaster mitigation strategies using geospatial tools. As a reviewer at IJCRT and participant in AISSMS and IIT Ropar conferences, he contributes to academic advancements in agrisciences. His work aims to develop cost-effective, scalable farming technologies that enhance yield, optimize resource utilization, and promote climate-smart agriculture. His future research plans focus on integrating AI-driven predictive models for farm management and improving sustainability in agricultural ecosystems.

🎯 Conclusion

Shivam Satyawan Madrewar is a highly promising candidate for the Young Scientist Award due to his strong research background, leadership, technical expertise, and innovation in agriculture. Strengthening research publications, industry collaborations, and patent filings would further enhance his competitiveness. Given his achievements and potential, he stands as a strong contender for the award.

Publication

Author: S Nimisha Khadkikar, Rohit Katkar, Om Suryawanshi
Title: Climate Change and the Future of Indian Organic Agriculture in International Trade
Year: 2024
Citation: 6*

 

Author: AG Sangeeta Dhinwa, Shreya Sah, Vaibhavi Bhosale
Title: Evaluating Climate-Smart Agriculture: Effects on Productivity, Sustainability and Farmer Resilience in India
Year: 2024
Citation: 4

 

Author: AS Nimisha Khadkikar, Om Suryawanshi, Jasmin Mulani
Title: Digital Agriculture: Impact of IoT and AI on Indian Agribusiness
Year: 2024
Citation: 4*

 

Author: PR Sangeeta Dhinwa, Mahesh Sunil Pawar, Dhananjay Das
Title: Enhancing Agricultural Market Transparency in India: The Role of IoT Technology
Year: 2024
Citation: 3

 

Author: SB Sangeeta Dhinwa, Nimisha Khadkikar, Saniya Shaikh, Avanti Bhoite
Title: The Impact of Zero Carbon Emission Farming on Sustainable Agricultural Development in India: Challenges and Opportunities
Year: 2024
Citation: 2

 

Author: NK Shivam Satyawan Madrewar, Harshal Bagul, Shubham Narwade, Nikita Rani
Title: Zygogramma bicolorata: A Natural Biocontrol Agent Against Parthenium hysterophorus
Year: 2024
Citation: 1

 

Author: BK Apurva Shrishty, Snehal Sathe, Prathamesh Tavhare, Om Suryawanshi
Title: Climate Change and Indian Grapes: Analyzing the Economic Impact on Export-Dependent Agriculture (2022-2023)
Year: 2024
Citation: 1*

 

Author: SS Madrewar, S Dhinwa, AM Gumphekar, PB Tavhare, OV Suryawanshi, …
Title: Revolution for Digitalization of Agriculture in India: A Comprehensive Study
Year: 2024
Citation: 1

 

Author: SS Madrewar
Title: LIGHT ATTRACTION BASED ALL INSECT KILLING DEVICE
Year: 2025
Citation: Patent

 

Author: OGD Shivam Satyawan Madrewar, Dr. Amit Ramesh Patil, Sahil Babasaheb Kadlag, …
Title: MASTITIS CONTROLLING BOTTLE
Year: 2025
Citation: Patent

 

Author: AE Shivam Satyawan Madrewar
Title: Plant Potometer
Year: 2025
Citation: Patent

 

Mahdi Gandomzadeh | Renewable Energy | Best Researcher Award

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Mr. Mahdi Gandomzadeh | Renewable Energy | Best Researcher Award

Ph.D. Candidate, Shahid Behshti University

Mahdi Gandomzadeh is a dedicated Renewable Energy and Power Electrical Engineer specializing in solar photovoltaic systems. Born on March 31, 1996, in Iran, he is currently pursuing a Ph.D. at Shahid Beheshti University, Tehran, focusing on environmental impacts on solar PV performance. With a strong background in electrical engineering, Mahdi has contributed extensively to research on distributed generation, microgrids, and hybrid energy systems. He has served as a research assistant in renewable energy labs and collaborated on cutting-edge solar energy projects. His work in uncertainty modeling and energy management has been widely recognized, leading to multiple awards, including the Best Student Award from the National Foundation of Iranian Elites. Passionate about sustainable energy solutions, Mahdi actively publishes in high-impact journals and participates in international conferences. His expertise spans solar efficiency, smart grids, and machine learning applications in renewable energy.

Profile

Scholar

🎓 Education 

Mahdi Gandomzadeh is pursuing a Ph.D. in Renewable Energies Engineering at Shahid Beheshti University, Tehran (2022-2026), focusing on the interaction effects of environmental parameters on solar PV performance. He earned his M.Sc. in Renewable Energies Engineering (2017-2020) from the same university, researching uncertainty modeling in Iran’s power grid with distributed generation and microgrids. His B.Sc. in Electrical Engineering – Power (2013-2017) from Ferdowsi University of Mashhad involved technical evaluation of power factor and voltage stability in industrial settings. His academic journey has been marked by a deep commitment to sustainable energy solutions, blending theoretical research with hands-on projects in energy management, hybrid systems, and power optimization. Through rigorous coursework and research, he has developed expertise in photovoltaic system efficiency, smart grid technologies, and renewable energy integration. His education has laid a solid foundation for his contributions to sustainable power generation and advanced renewable energy technologies.

💼 Experience 

Mahdi Gandomzadeh has amassed extensive experience in renewable energy and electrical engineering. He began his career as a trainee and senior researcher at Tabas Parvadeh Coal Company (2016-2017), analyzing power stability. In 2018, he worked as a Hybrid Energy Systems Expert for Tehran’s Municipality at Gisha Bridge. Since 2017, he has served as an Electrical and Energy Engineer at Shahid Beheshti University’s Renewable Energies Engineering Labs and as a Research Assistant in Solar Photovoltaic and Solar Thermal Teams under Dr. Zandi. As an educational assistant, he has taught undergraduate and graduate courses in electrical engineering, renewable energy, and energy systems design at Ferdowsi University of Mashhad and Shahid Beheshti University. His expertise includes energy management, hybrid power systems, and photovoltaic grid integration. With a strong research background, Mahdi continues to contribute to cutting-edge solar energy advancements and innovative renewable energy solutions.

🏆 Awards & Honors 

Mahdi Gandomzadeh has received numerous accolades for his contributions to renewable energy research. In 2024, he won the prestigious Best Student Award from the National Foundation of Iranian Elites, recognizing his outstanding academic and research achievements. In 2018, he was a member of the top ten teams in the Smart City Start-up Weekend organized by Tehran’s Municipality. The same year, he secured first place in the 9th Start-up Trigger event at Sharif University of Technology in the energy field, highlighting his innovative approach to sustainable energy solutions. His recognition extends beyond competitions, as he has actively contributed to high-impact research on solar photovoltaic systems, earning citations and invitations to international conferences. His expertise in hybrid energy systems, grid integration, and energy management has positioned him as a leading researcher in renewable energy, further solidifying his reputation through prestigious awards and honors.

🔬 Research Focus 

Mahdi Gandomzadeh’s research focuses on optimizing renewable energy systems, particularly solar photovoltaic efficiency. His Ph.D. work explores the interaction effects of environmental parameters on PV performance, integrating experimental analysis with machine learning models. His research extends to uncertainty modeling in distributed generation and microgrids, enhancing the stability and reliability of Iran’s power grid. He is also actively involved in smart grid technologies, energy storage solutions, and hybrid renewable systems. His work on dust mitigation and cleaning techniques for solar panels has received significant attention, addressing a critical challenge in PV efficiency. Mahdi’s publications explore machine learning applications for PV forecasting, optimization of energy storage, and decision-making strategies for grid-connected systems. His interdisciplinary approach combines electrical engineering, data science, and sustainability, aiming to advance renewable energy adoption and improve energy resilience. His contributions are pivotal in shaping the future of sustainable power generation and smart energy systems.

Conclusion

Mahdi Gandomzadeh demonstrates a strong commitment to advancing renewable energy engineering through his academic pursuits, research contributions, and professional engagements. His recognition by the National Foundation of Iranian Elites underscores his potential. By focusing on increasing his research’s citation impact, fostering international collaborations, and enhancing industry engagement, he can further solidify his candidacy for the Best Researcher Award.

Publication

Author: AA Yaghoubi, M Gandomzadeh, A Gholami, RG Ghoachani, M Zandi, …
Title: Optimize photovoltaic panels cleaning scheduling framework based on variations of hourly-based active electricity pricing in the market
Year: 2024
Citations: 15

 

Author: A Hoorsun, M Gandomzadeh, AA Yaghoubi, A Parsay, A Gholami, …
Title: Insights and research trends of dust and cleaning in solar energy: a bibliometric review study
Year: 2024
Citations: 10

 

Author: AA Yaghoubi, M Gandomzadeh, A Parsay, A Gholami, …
Title: A review on machine learning model implementation for photovoltaic systems
Year: 2024
Citations: 8

 

Author: M Gandomzadeh, AA Yaghoubi, A Hoorsun, A Parsay, A Gholami, …
Title: Dust mitigation methods and multi-criteria decision-making cleaning strategies for photovoltaic systems: Advances, challenges, and future directions
Year: 2025
Citations: 7

 

Author: M Gandomzadeh, E Malandish, R Gavagsaz-Ghoachani, H Jafari, …
Title: Purposeful Learning Booklet, a method for teaching Engineering
Year: 2019
Citations: 7

 

Author: M Gandomzadeh, S Mahmoudian Younesi, A Mosayyebi, M Zandi
Title: Development scenarios for electrical energy storage in Iran with Cross-Impact Balance method
Year: 2022
Citations: 6

 

Author: A Parsay, M Gandomzadeh, A Gholami, R Gavagsaz-Ghoachani, …
Title: Multi-Purposeful Visualization Card: A Creative Teaching Tool for Attractive Engineering Education
Year: 2023
Citations: 5

 

Author: M Gandom Zadeh, E Malandish, A Tajik, F Taherpour, M Mohammadpour, …
Title: Washing Insulators by Ultrasound Sonication Method to Remove Hard Sediments Caused by Dust and Aerosols
Year: 2017
Citations: 3

 

Author: AA Yaghoubi, M Gandomzadeh, A Gholami, R Gavagsaz-Ghoachani, …
Title: Harnessing Machine Learning with Advanced Linear Regression Models to Forecast PV System
Year: 2024
Citations: 2

 

Author: S Mahmoudian Yonesi, M Gandomzadeh, A Mosayyebi, …
Title: Modeling the supply chain of LNG with system dynamic method (Case study: Iran)
Year: 2024
Citations: 2

 

Author: M Gandomzadeh, M Kabiri Sedeh, R Gavagsaz-Ghoachani, M Zandi
Title: Practical reliability study of a photovoltaic system for the supply of home load profile; Case study: Tehran city
Year: 2019
Citations: 2

Priya Tiwari | Medicinal | Women Researcher Award

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Ms. Priya Tiwari | Medicinal | Women Researcher Award

SRF-PhD Scholar, National Institute of Pharmaceutical Education and Research Raebareli Uttar Pradesh

 Priya Tiwari is a dedicated pharmaceutical researcher with a passion for drug discovery and development.  Currently pursuing a Ph.D. in Medicinal Chemistry at NIPER-Raebareli, she focuses on the synthesis of novel anti-tubercular agents.  She has published 14 Scopus-indexed papers, including one with an impact factor of 8, and holds two patents.  Her research spans computer-aided drug design, drug repurposing, and cost-effective pharmaceutical solutions.  With a strong academic record, she has secured top national ranks in GPAT (AIR-570), NIPER JEE Ph.D. (AIR-67), and CUCET (AIR-45).  She actively participates in national and international conferences, symposiums, and research collaborations. 🏅 An accomplished debater, she won the Zonal Silver Medal (U.P. Bundelkhand) in 2016.  Priya is committed to advancing pharmaceutical sciences and making impactful contributions to global healthcare through innovative research.

Profile

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🎓 Education 

10th (2012) – Kendriya Vidyalaya, A.F.S. Chakeri, Kanpur  CBSE  8.6 CGPA 12th (2014) – Kendriya Vidyalaya, A.F.S. Chakeri, Kanpur  CBSE  73.6% Diploma in Pharmacy (2016) – SRRT Mahila Polytechnic, Kanpur  BTEUP  72.6% B. Pharma (2019) – Uttar Pradesh University of Medical Sciences, Saifai  AKTU  76.8% M. Pharma (2022) – Guru Ghasidas Vishwavidyalaya (GGV), Bilaspur  Pharmaceutical Chemistry  8.95 CGPA Ph.D. (Pursuing) – NIPER-Raebareli  Medicinal Chemistry  3rd Year Competitive Exams – GPAT (AIR-570, 98.89 percentile), NIPER JEE Ph.D. (AIR-67), UPTU Rank (AIR-3, SLET for B.Pharm), CUCET (AIR-45, M.Pharm), JEECUP (Pharmacy)

💼 Experience 

Ph.D. Researcher (2022-Present) – NIPER-Raebareli  Conducting synthesis and characterization of novel anti-tubercular agents under Dr. Sandeep Chandrashekharappa. M.Pharm Research (2020-2022) – Guru Ghasidas Vishwavidyalaya (GGV)  Focused on computer-aided drug design of Vorinostat-based HDAC inhibitors for anticancer therapy. Academic Contributions Published 14 Scopus-indexed research papers (one with an impact factor of 8). Presented at national and international conferences, including NIPER Mohali & THSTI Faridabad. Industry & Teaching Exposure  Conducted webinars & seminars at the national level.  Contributed to patent filings and research collaborations in medicinal chemistry. Key Skills – Drug design, molecular docking, structure-activity relationships (SAR), and analytical techniques.

🏅 Awards & Honors 

GPAT (AIR-570, 98.89 percentile) – National Level Pharmacy Entrance Exam NIPER JEE Ph.D. (AIR-67) – Entry to Prestigious NIPER Institutes UPTU Rank (AIR-3, SLET for B.Pharm) – State-Level Entrance Exam CUCET (AIR-45, M.Pharm) – Central Universities Entrance Exam Zonal Silver Medal (2016) – Debate Competition (U.P. Bundelkhand) Registered Pharmacist – Uttar Pradesh Pharmacy Council (Since 2017)  National Seminar Participant – Research & Development of Natural Products, 2018 Best Research Paper Recognition – International Journal of Biological Macromolecules (IF-8) Patent Holder – Two Patents (India & South Africa) in Pharmaceutical Chemistry Scholarship Holder – Recognized for academic excellence in M. Pharma and Ph.D.

🔬 Research Focus 

Medicinal Chemistry – Synthesis & characterization of novel anti-tubercular agents. Drug Repurposing – Developing cost-effective treatments for tuberculosis and cancer. Computer-Aided Drug Design (CADD) – Specializing in molecular docking & virtual screening. Structure-Activity Relationship (SAR) – Analyzing and modifying bioactive compounds for better efficacy. Analytical Techniques – Expertise in HPLC, NMR, IR, UV, and mass spectrometry.  Scientific Publications – Published 14 Scopus-indexed papers and contributed to book chapters.  Patents & Innovations – Holds two patents for novel pharmaceutical formulations. Pharmaceutical Analysis – Developing efficient and low-cost drug testing methods. Sustainable Drug Development – Working on eco-friendly and cost-effective drug synthesis methods.  International Collaborations – Active in global research networks for advancing medicinal chemistry.

Conclusion

Dr. Priya Tiwari’s exemplary academic achievements, substantial research contributions, and dedication to medicinal chemistry make her a deserving candidate for the Women Researcher Award. Addressing the areas for improvement could further elevate her research career and impact in the scientific community.

Publication

Author(s): Priya Tiwari, Gayakvad Sunitaben Mangubhai, Saqib Kidwai, Ramandeep Singh, Sandeep Chandrashekharappa
Title: Design, synthesis and characterization of ethyl 3‐benzoyl‐7‐morpholinoindolizine‐1‐carboxylate as anti‐tubercular agents: In silico screening for possible target identification
Year: 2024
Citation (DOI): 10.1111/cbdd.14512

 

Author(s): Sandya Tambi Dorai, Kyatagani Lakshmikanth, Priya Tiwari, Surbhi Mahender Saini, Dr. Sandeep Chandrashekharappa
Title: One-pot construction of novel trifluoromethyl dihydro-imidazo[1,2-a]pyridine: A greener approach
Year: 2023
Citation (DOI): 10.1016/j.tet.2023.133691

 

Author(s): Sandya Tambi Dorai, Priya Tiwari, Yashi Dwivedi, Sandeep Chandrashekharappa
Title: Surfactant Sensors for Food Quality Monitoring (Book Chapter)
Year: 2023
Citation (DOI): 10.1039/bk9781837671182-00149

 

Author(s): Vijay K. Patel, Ekta Shirbhate, Priya Tiwari, Rakesh Kore, Ravichandran Veerasamy, Achal Mishra, Harish Rajak
Title: Multi-targeted HDAC Inhibitors as Anticancer Agents: Current Status and Future Prospective
Year: 2023
Citation (DOI): 10.2174/0929867329666220922105615

 

Author(s): Ekta Shirbhate, Vijay K. Patel, Priya Tiwari, Rakesh Kore, Ravichandran Veerasamy, Achal Mishra, Harish Rajak
Title: Combination Therapy for the Treatment of Alzheimer’s Disease: Recent Progress and Future Prospects
Year: 2022
Citation (DOI): 10.2174/1568026622666220907114443

Teresa Peixoto | Data Quality in Smart Manufacturing | Young Scientist Award

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Mrs. Teresa Peixoto | Data Quality in Smart Manufacturing | Young Scientist Award

Student Research, CIICESI, School of Management and Technology, Porto Polytechnic, Portugal

Teresa Peixoto is a passionate software engineer from Felgueiras, Portugal, specializing in full-stack development and data quality research. She holds a Bachelor’s and is pursuing a Master’s in Computer Engineering at the School of Technology and Management – IPP. Teresa has experience in backend and frontend development, working with technologies such as Java, Spring Boot, Vue.js, and SQL. Currently, she is a student researcher at CIICESI, focusing on data quality in big data and Industry 4.0. She previously interned as a Full-Stack Developer at BIMMS, enhancing digital construction platforms. An active member of ESTG’s academic life, she served as President of the AvenTUNA female musical group. She is also a former speed skater. Teresa’s technical skills and problem-solving abilities drive her contributions to innovative projects, from microservices-based transport solutions to Web3 applications. She is committed to advancing software development and data quality research.

Profile

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📌 Education 

Teresa Peixoto is currently pursuing a Master’s Degree in Computer Engineering at the School of Technology and Management – IPP (2023–Present), focusing on advanced computing techniques and software engineering principles. She previously earned her Bachelor’s Degree in Computer Engineering (2019–2023) from the same institution, where she gained extensive experience in software development, databases, and system architecture. During her studies, she actively engaged in academic projects, including Portugal Transports, a microservices-based system improving train travel experiences, and HereNow, a blockchain-powered event participation and NFT-based POAP management platform. Her academic journey is complemented by extracurricular involvement, including her leadership role in the ESTG Academic Female Musical Group, AvenTUNA, and her participation in school sports as a speed skater. Teresa’s dedication to education and hands-on learning has equipped her with technical proficiency in programming languages, agile methodologies, and data management strategies essential for her career in software engineering.

📌 Experience 

Teresa Peixoto is a Student Researcher at CIICESI (Feb 2024–Present) in Porto, Portugal, contributing to the PRODUTECH R3 project. She researches and develops methods for data quality management in big data, data streaming, and Industry 4.0, utilizing Python, Data Profiling, IoT, and Data Quality Metrics. Previously, she worked as a Full-Stack Developer Intern at BIMMS (Feb 2023–June 2023), where she improved the Digi4Construction digital platform. Her key contributions included automated project status reports, an intuitive interface for report customization, and JSON data integration to enhance functionality. She has also developed innovative academic projects such as Portugal Transports, a microservices-based system for train journey optimization, and HereNow, a Web3 event participation and POAP management platform. Teresa’s experience spans backend and frontend development, database management, and software architecture, making her a well-rounded engineer ready to tackle complex software challenges.

📌 Awards & Honors 

Teresa Peixoto has demonstrated excellence in both technical and extracurricular fields, earning recognition for her academic achievements, leadership, and innovation. During her tenure as President of AvenTUNA (2022/2023), she led the group to multiple performances and competitions, fostering a strong academic culture. In competitive programming and hackathons, she received accolades for her innovative solutions in software development and data quality research. Her Portugal Transports project, developed as part of her academic work, was recognized for its efficient microservices architecture and real-world applicability in smart transportation. Additionally, her blockchain-based HereNow project received praise for integrating NFT technology into event management. Teresa also excelled in speed skating from 2012 to 2019, competing at a high level and showcasing her dedication and discipline. Her commitment to software engineering, data quality research, and leadership continues to earn her recognition in both academic and professional circles.

📌 Research Focus  

Teresa Peixoto’s research focuses on data quality management in big data, Industry 4.0, and data streaming environments. As part of her role at CIICESI, she contributes to the PRODUTECH R3 project, developing advanced methods for ensuring data integrity and accuracy. Her work revolves around data profiling, data quality dimensions, data metrics, and IoT-based data validation, leveraging Python and machine learning techniques to enhance data reliability. Teresa is particularly interested in how AI and automation can optimize real-time data processing in smart manufacturing. Her academic projects, such as Portugal Transports and HereNow, reflect her expertise in integrating modern technologies like microservices, blockchain, and real-time analytics into practical applications. Through her research, Teresa aims to address challenges in data governance, anomaly detection, and predictive analytics, contributing to the advancement of data-driven decision-making in industrial and smart factory environments.

🔍 Conclusion

Teresa Peixoto is a strong candidate for the Young Scientist Award, given her research in data quality, technical expertise, and leadership skills. While she has demonstrated significant innovation and problem-solving abilities, further academic publications and global recognition in competitions could strengthen her profile. With her dedication to research, technical excellence, and interdisciplinary contributions, she has great potential to become a leading figure in smart manufacturing and data-driven innovation.

Publication

Author: Peixoto, T., Oliveira, B., Oliveira, Ó., Ribeiro, F., & Pereira, C.
Title: Extensible Data Ingestion System for Industry 4.0
Year: 2025
Citation: Peixoto et al. (2025) https://doi.org/10.1007/978-3-031-73503-5_9

Author: Peixoto, T., Oliveira, B., Oliveira, Ó., & Ribeiro, F.
Title: Data Quality Assessment in Smart Manufacturing: A Review
Year: 2025
Citation: Peixoto et al. (2025) https://doi.org/10.3390/systems13040243

ASNIT GANGWAR | Materials chemistry | Excellence in Research

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Dr. ASNIT GANGWAR | Materials chemistry | Excellence in Research

Assistant Professor, Shri Vishnu Engineering College for Women Bhimavaram Andhra Pradesh

Dr. Asnit Gangwar is an Assistant Professor in the Mechanical Engineering Department at Shri Vishnu Engineering College for Women, Bhimavaram, India. With a Ph.D. in Metallurgical & Materials Engineering from IIT (BHU), Varanasi, he specializes in structural modeling, synthesis, and characterization of advanced materials. His research spans nanocomposites, ceramics, magnetic materials, and energy storage. Dr. Gangwar has worked as a Post-Doctoral Research Associate at Bhabha Atomic Research Centre (BARC) and as a Research Associate at IIT (BHU). He has numerous high-impact publications, collaborating with leading national and international researchers. His expertise in materials science and engineering has significantly contributed to functional materials, biomedical applications, and nanotechnology.

Profile

Scholar

Orcid

🎓 Education

Ph.D. (2015-2020): Metallurgical & Materials Engineering, IIT (BHU), Varanasi (CGPA: 8.58/10). M.Tech (2012-2014): Metallurgical & Materials Engineering, IIT (BHU), Varanasi (CGPA: 7.7/10). B.Tech (2008-2012): Mechanical Engineering, ITS Engineering College, Greater Noida (Affiliated with AKTU, Lucknow) (70.4%).

🏅 Experience 

Assistant Professor (Dec 2023-Present): Shri Vishnu Engineering College for Women, Bhimavaram. Post-Doctoral Research Associate (2022-2023): Bhabha Atomic Research Centre (BARC), Mumbai (~1 year 10 months). Research Associate (2020-2022): IIT (BHU), Varanasi (~1 year 8 months).

🏆 Awards & Honors

High-Impact Publications: Over 30 international SCI-indexed papers. Citations & Indexing: 517 citations, h-index 14, i10-index 19. Research Excellence: Recognized for outstanding contributions in material science. Academic Collaborations: Works with top national and international institutions. Reviewer for Journals: Peer-reviewing for high-impact research publications.

🔬 Research Focus 

Dr. Gangwar’s research interests include structural modeling of new materials, synthesis of advanced functional materials, ceramics, nanocomposites, and magnetic materials. He focuses on theranostics, targeted drug delivery, energy storage materials, and designing functional nano-heaters. His work integrates biomedical applications with materials engineering, developing novel solutions for multimodal therapy and bioimaging. His studies on photoacoustic image-guided chemo-photothermal therapy and supercapacitors for energy storage are cutting-edge.

🏆 Conclusion

Dr. Asnit Gangwar is a highly competitive candidate for the Excellence in Research Award, particularly for his extensive publication record, international collaborations, and impactful research in nanomaterials and energy storage. Strengthening his leadership in independent projects, securing industry collaborations, and receiving major research fellowships could further enhance his candidacy.

Publication

  • Structural, magnetic, and biocompatibility evaluations of chromium substituted barium hexaferrite (Co2–Y) for hyperthermia application (2023) – M. Suthar, D. Khare, A. Gangwar, S. Banerjee, N.K. Prasad, A.K. Dubey – 25 citations

  • Magnetic nanocomposites of Fe3C or Ni-substituted (Fe3C/Fe3O4) with carbon for degradation of methylene orange and p-nitrophenol (2021) – A. Gangwar, A. Singh, S. Pal, I. Sinha, S.S. Meena, N.K. Prasad – 22 citations

  • Effect of Gd3+ substitution on proton relaxation and magnetic hyperthermia efficiency of cobalt ferrite nanoparticles (2020) – D. Jaison, A. Gangwar, P.N. Kishore, G. Chandrasekaran, M. Mothilal – 22 citations

  • Nanocomposite of (α-Mn3O4/MnO)@ rGO as a high performance electrode material for supercapacitors (2021) – A. Gangwar, T. Das, S.K. Shaw, N.K. Prasad – 20 citations

  • Physical and in-vitro evaluation of ϵ-Fe3N@ Fe3O4 nanoparticles for bioapplications (2020) – A. Gangwar, S.S. Varghese, S.S. Meena, C.L. Prajapat, M.K. Viswanadh – 18 citations

  • Synthesis and structural characterization of CoxFe3−xC (0≤x≤0.3) magnetic nanoparticles for biomedical applications (2019) – A. Gangwar, G. Singh, S.K. Shaw, R.K. Mandal, A. Sharma, S.S. Meena – 17 citations

  • Structural and electrochemical performance studies for nanocomposites of carbon with Fe3C or Mn-Substituted (Fe3C/Fe3O4) as anodes for Li-batteries (2020) – A. Gangwar, A. Sharma, S.K. Shaw, S.S. Meena, N.K. Prasad – 14 citations

  • Structural and in-vitro assessment of ZnxFe3−xC (0≤x≤1) nanoparticles as magnetic biomaterials (2020) – A. Gangwar, S. Kumar, S.S. Meena, A. Sharma, M.K. Viswanadh, K. Neogi – 14 citations

  • Mössbauer study and curie temperature configuration on sintering Nano-Ni-Zn ferrite powder (2019) – M.M. Kothawale, R.B. Tangsali, S.S. Meena, N.K. Prasad, A. Gangwar – 14 citations

  • Ferrimagnetic (α-Mn3O4/MnO)@ rGO nanocomposite as potential adsorbent for organic pollutant dye (2023) – A. Gangwar, S.K. Shaw, A. Sharma, S.K. Alla, S. Kavita, M. Vasundhara – 12 citations

  • Assessment of ionic site distributions in magnetic high entropy oxide of (Mn0·2Fe0·2Co0·2Ni0·2Zr0.2)3O4 and its catalytic behaviour (2023) – S.K. Shaw, P. Kumari, A. Sharma, N. Jatav, A. Gangwar, N.S. Anuraag – 11 citations

 

Adrian Zając | Neurobiology | Young Scientist Award

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Adrian Zając | Neurobiology | Young Scientist Award

Assistant professor/academic teacher/researcher, Institute of Biological Sciences, Maria Curie-Skłodowska University in Lublin Poland

A dedicated molecular biologist specializing in cancer research, particularly brain tumors. With a PhD from Maria Curie-Skłodowska University, Lublin, they have contributed significantly to molecular biology, cancer biology, and genetic engineering. As an Assistant Professor, they conduct cutting-edge research on programmed cell death, 3D cell cultures, and molecular drug mechanisms. They actively participate in national and international conferences, mentor students, and serve as a reviewer for peer-reviewed journals. Their research has led to 25 publications (IF ~ 90, h-index = 9). A member of prestigious scientific societies, they also coordinate workshops and research projects.

Profile

Scopus

Orcid

🎓 Education

MSc, Maria Curie-Skłodowska University, Lublin (2013–2015) – Received the Minister of Science and Higher Education Scholarship for outstanding academic achievements. PhD, Maria Curie-Skłodowska University, Lublin (2020) – Focused on molecular and cancer biology, specializing in brain tumors and cell culture techniques.

💼 Experience

PhD Candidate, Maria Curie-Skłodowska University (2015–2018) – Conducted cancer biology research, focusing on brain tumors using molecular and cellular techniques. Assistant, Maria Curie-Skłodowska University (2018–2021) – Researched normal neural cells and tumors, specializing in immunoprecipitation, confocal microscopy, and apoptosis studies. Assistant Professor, Maria Curie-Skłodowska University (2021–present) – Leads cancer biology research, mentors students, coordinates projects, and teaches molecular biology courses. Molecular Biology Investigator, Polish Academy of Sciences (2021–2024) – Works on SONATA grant projects, applying molecular and biochemical techniques for cancer studies.

🏆 Awards & Honors

Scholarship from the Minister of Science and Higher Education for outstanding academic performance. Principal Investigator of a National Science Center-funded research project. Member of European Federation of Biochemistry Societies, European Cooperation in Science and Technology Program, and Translacore Project. Organizing Committee Member of International EMBO Workshops. Reviewer for peer-reviewed scientific journals.

🔬 Research Focus

Molecular & Cancer Biology – Specializing in brain tumors, 3D cell cultures, and apoptosis mechanisms. Genetic Engineering – Designing and cloning genetic constructs for cancer research. Microscopy & Biochemical Techniques – Expertise in confocal and electron microscopy, SDS-PAGE, Western blotting, ELISA, and binding assays. Drug Mechanisms & Targeted Therapies – Investigating molecular pathways and drug responses in cancer treatment.

Conclusion 

The candidate is highly suitable for the Young Scientist Award, given their strong publication record, leadership roles, methodological expertise, and research impact in molecular and cancer biology. With continued funding acquisition, interdisciplinary expansion, and high-impact publications, they can further establish themselves as a leading scientist in their field.

Publication

Yufei Zhu | Steel structure | Best Researcher Award

Published on by Young Scientists Awards

Assoc. Prof. Dr. Yufei Zhu | Steel structure | Best Researcher Award

Associate Professor, Shanghai Normal University

 Dr. Zhu Yufei is an Associate Professor at Shanghai Normal University, specializing in high strength steel and advanced analysis. With a robust academic background, she earned her MSc and PhD from Imperial College London, where she focused on structural steel design. Dr. Zhu has contributed extensively to research on high strength steel frames, I-section beams, and welded steel structures. Her work has been published in top-tier journals, and she is recognized for her expertise in structural engineering and innovative approaches to steel construction.

Profile

Scholar

Education

2024 – Present: Associate Professor, Shanghai Normal University, China 2023 – 2024: Lecturer, Shanghai Normal University, China  2019 – 2023: PhD, Imperial College London, UK (Supervisor: Prof. Leroy Gardner)  2018 – 2019: MSc, Structural Steel Design (Distinction), Imperial College London, UK 2014 – 2018: BSc, Civil Engineering, Tongji University, China

Experience

2024 – Present: Associate Professor, Shanghai Normal University, China 2023 – 2024: Lecturer, Shanghai Normal University, China  2019 – 2023: PhD Researcher, Imperial College London, UK 2017 – 2021: Participant in the Research Fund for Coal and Steel European Research Project (STROBE) Contributed to multiple high-strength steel research papers, focusing on I-section beams and steel frames.

Awards & Honors

Best Paper Award 2022 in Engineering Structures (Steel and Space Structures category) for “Benchmark tests on high strength steel frames”  Early Career Recognition for Excellence in Structural Steel Research Invited reviewer for SCI-indexed journals like Structures and Steel and Composite Structures Participant in prestigious international projects like the Research Fund for Coal and Steel (STROBE)

Research Focus

Dr. Zhu’s research focuses on high strength steel, including the behavior and design of welded I-section beams, hybrid steel frames, and advanced numerical modelling.  Her studies explore residual stresses, finite element modelling, and cross-sectional behavior under compression and bending.  She has published numerous papers in top journals, contributing significantly to the understanding of steel structures and their applications in the built environment. Current research involves the effects of moment gradients on load-carrying capacity in stainless-steel SHS and RHS beams.

Conclusion 

Dr. Yufei Zhu is a highly accomplished researcher with a robust educational background, a series of influential publications, and significant contributions to the field of structural engineering, particularly in high-strength steel. Her leadership in research projects and academic achievements, including her recognition with the Best Paper Award, make her an outstanding candidate for the Best Researcher Award. With slight expansion into interdisciplinary areas and increased public engagement, she could further amplify her already impressive impact on the field.

Publication

Authors: X Yun, Y Zhu, X Meng, L Gardner
Title: Welded steel I-section columns: Residual stresses, testing, simulation, and design
Year: 2023
Citations: 37Authors: Y Zhu, X Yun, L Gardner
Title: Behaviour and design of high strength steel homogeneous and hybrid welded I-section beams
Year: 2023
Citations: 23

Authors: X Yun, Y Zhu, Z Wang, L Gardner
Title: Benchmark tests on high strength steel frames
Year: 2022
Citations: 19

Authors: T Schreiter, T Rodrigues de Almeida, Y Zhu, E Gutierrez Maestro, …
Title: THÖR-MAGNI: A large-scale indoor motion capture recording of human movement and robot interaction
Year: 2024
Citations: 10

Authors: N Baddoo, M Sansom, R Pimentel, M Lawson, A Chen, F Meza, …
Title: Stronger steels in the built environment (STROBE)
Year: 2021
Citations: 8

Authors: Y Zhu, NA Hackner, PMR Brydon
Title: Bound states around impurities in a superconducting bilayer
Year: 2023
Citations: 7

Authors: Y Zhu, X Yun, L Gardner
Title: Numerical modelling and design of normal and high strength steel non-slender welded I-section beam–columns
Year: 2023
Citations: 6

Authors: X Yun, Y Zhu, L Gardner
Title: Design of welded steel I-section members by GMNIA with CSM strain limits
Year: 2023
Citations: 1

Authors: Z Yang, Y Zhu, S Su, Y Chen, C Huang, GQ Li
Title: Moment gradient effects on load-carrying capacity of stainless-steel SHS and RHS beams
Year: 2025
Citations: Not available yet

Authors: Y Zhu, PMR Brydon
Title: The role of superconducting fitness in pairing from fluctuating order
Year: 2024
Citations: Not available yet

Authors: F Walport, Y Zhu, X Yun, L Gardner
Title: Experimental and numerical datasets for benchmark tests on high strength steel I-section frames
Year: 2024
Citations: Not available yet

Authors: Y Zhu, X Yun, L Gardner
Title: Behaviour, finite element modelling and design of high strength steel homogeneous and hybrid welded I-section beams
Year: 2023
Citations: Not available yet

Authors: X Yun, Y Zhu, L Gardner
Title: Experimental investigation of steel frames made of hybrid steel welded I-sections
Year: 2023
Citations: Not available yet

ABDULLAH INCEKARA | Geomatics Engineering | Best Researcher Award

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Assist. Prof. Dr. ABDULLAH INCEKARA | Geomatics Engineering | Best Researcher Award

Assistant Professor, TOKAT GAZIOSMANPASA UNIVERSITY

Abdullah Harun Incekara is an Assistant Professor at Tokat Gaziosmanpasa University in the Department of Geomatics Engineering. He holds a Ph.D. in Geomatics Engineering from Istanbul Technical University, where his research focused on improving the quality of historical aerial photographs. His expertise spans lidar-based mapping, remote sensing, photogrammetry, and UAV technology. Abdullah has published extensively in international journals and conferences, contributing to advancements in geospatial technologies. His work bridges the gap between theoretical research and practical applications in geomatics, particularly in the areas of shoreline extraction and the enhancement of spatial quality using super-resolution techniques.

Profile

Scholar

Orcid

🎓 Education

Ph.D. in Geomatics Engineering, Istanbul Technical University (2018-2024), GPA: 3.79/4.00 M.Sc. in Geomatics Engineering, Istanbul Technical University (2016-2018), GPA: 3.75/4.00 B.Sc. in Geomatics Engineering, Istanbul Technical University (2011-2016), GPA: 3.26/4.00 Abdullah completed his Ph.D. and M.Sc. studies at Istanbul Technical University, focusing on innovative applications in geomatics, with particular interest in the enhancement of aerial photographs and shoreline mapping through advanced computational techniques. His solid academic background underpins his research contributions to geospatial data analysis and engineering.

💼 Experience

Assistant Professor, Department of Geomatics Engineering, Tokat Gaziosmanpasa University (2024–present) Research Assistant, Department of Geomatics Engineering, Tokat Gaziosmanpasa University (2017–2024) Abdullah Harun Incekara has an extensive academic career, progressing from a Research Assistant to Assistant Professor at Tokat Gaziosmanpasa University. His professional focus has been on geomatics, incorporating geospatial technologies like UAVs and lidar in applied and research projects. His contributions to the department include mentoring students and advancing the study of spatial data quality, including enhancing historical imaging techniques.

🏆 Awards & Honors

Best Paper Award, International Conference on Remote Sensing (2017) Outstanding Research Award, Tokat Gaziosmanpasa University (2021) Early Career Excellence Award, Istanbul Technical University (2019) Abdullah has received multiple recognitions for his academic excellence and research contributions. Notably, his innovative work in geomatics has earned him several accolades, including awards for outstanding research and best paper presentations in international conferences, reinforcing his status in the field.

🔬 Research Focus

Abdullah’s research primarily focuses on geomatics engineering, emphasizing remote sensing, UAV-based photogrammetry, and historical aerial photograph enhancement. His Ph.D. work on super-resolution techniques for spatial data quality has led to significant findings that improve the usability of historical imagery. His publications also explore the environmental impact assessments using satellite imagery and the application of geomatics in urban planning and agriculture. His ongoing research aims to bridge gaps in geospatial technology applications, making them more efficient and accurate for real-world solutions.

Conclusion 

Abdullah Harun Incekara is a highly deserving candidate for the Best Researcher Award due to his exceptional academic background, strong research contributions, and innovative approach to Geomatics Engineering. His work in remote sensing and environmental monitoring exemplifies cutting-edge scientific exploration. With continued global collaborations and diversification in research topics, Incekara has the potential to further establish himself as a leader in the geospatial sciences field.

Publication

Title: Investigating the utility potential of low-cost unmanned aerial vehicles in the temporal monitoring of a landfill
Authors: AH Incekara, A Delen, DZ Seker, C Goksel
Year: 2019
Citations: 37

 

Title: Qualifying the LIDAR-derived intensity image as an infrared band in NDWI-based shoreline extraction
Authors: AH Incekara, DZ Seker, B Bayram
Year: 2018
Citations: 21

 

Title: Interpreting Temperature Based Discontinuity and Roughness of Rock Surfaces by Using Photogrammetric Technique
Authors: AH İncekara, DZ Şeker, CS Tezcan, E Bozkurtoglu, C Gazioğlu
Year: 2017
Citations: 12

 

Title: Comparative analyses of the point cloud produced by using close-range photogrammetry and terrestrial laser scanning for rock surface
Authors: AH Incekara, DZ Seker
Year: 2018
Citations: 11

 

Title: Rolling shutter effect on the accuracy of photogrammetric product produced by low-cost UAV
Authors: AH İncekara, DZ Seker
Year: 2021
Citations: 9

 

Title: Investigating the suitability of mirrorless cameras in terrestrial photogrammetric applications
Authors: AH Incekara, DZ Seker, A Delen, A Acar
Year: 2017
Citations: 7

 

Title: Using unmanned aerial vehicles for open mining areas: Current applications and future potentials
Authors: AH Incekara, O Yildirim, T Susam, DZ Seker
Year: 2016
Citations: 4

 

Title: Minimizing the Limitations in Improving Historical Aerial Photographs with Super-Resolution Technique
Authors: AH Incekara, U Alganci, O Arslan, DZ Seker
Year: 2024
Citations: 1

 

Title: The potential contribution of remotely sensed images for GreenMetric ranking
Authors: AH İncekara, EY Basaran, DZ Seker
Year: 2022
Citations: 1

 

Title: USING SATELLITE IMAGERIES AND ORTHOPHOTO TO QUANTIFY ENVIRONMENTAL IMPACT OF MINING ACTIVITIES IN FOREST AREA
Authors: AH Incekara, A Delen, DZ Seker, FB Sanli, T Susam
Year: 2019
Citations: 1

 

Title: Combination of UAV Based Digital Surface Model with 3D Model Of ITU Bicycle House Produced by Close-Range Photogrammetry
Authors: Y Albeni, B Sariturk, ME Atik, O Ozturk, Z Duran, DZ Seker, B Bayram, …
Year: 2018
Citations: 1