Swathi Merugu | Immunoinformatics | Best Researcher Award

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Dr. Swathi Merugu | Immunoinformatics | Best Researcher Award

Dr. Swathi Merugu | Senior Research Scientist | Memorial Sloan Kettering Cancer Centre | United States

Academic Background

Dr. Swathi Merugu holds a Ph.D. in Cancer Research from Newcastle University, U.K., focusing on clinical medicine and pediatric oncology. She completed her postdoctoral fellowship in Translational Cancer Research with a specialization in Precision Medicine at Memorial Sloan Kettering Cancer Center. Her foundational training includes a Master’s in Pharmacy in Pharmacology and a Bachelor of Pharmacy, both from Kakatiya University, India. Throughout her academic journey, she has authored multiple scientific documents and accumulated significant citations reflecting her impactful research contributions. Her Scopus profile shows 88 citations across 56 documents with an h-index of 4, while Google Scholar lists 382 citations from 259 documents, highlighting an h-index of 10 and an i10-index of 10, underscoring her scholarly influence in the field.

Research Focus

Dr. Merugu’s research is centered on precision oncology and immunotherapy, with particular expertise in pediatric cancers and hematologic malignancies. Her work emphasizes the development of non-invasive biomarker assays and immune-monitoring strategies to enhance patient-centered clinical trials and optimize therapeutic interventions.

Work Experience

Dr. Merugu currently serves as a Senior Research Scientist at Memorial Sloan Kettering Cancer Center, leading projects in immune-monitoring assays and biomarker discovery, fostering collaboration between clinical researchers and laboratory scientists. Her postdoctoral work at the same institution advanced the understanding of epichaperome inhibition in acute myeloid leukemia, translating preclinical findings into clinical applications. She has also held a position as Assistant Professor at Kakatiya University, mentoring graduate students in oncology and pharmacology, and guiding early-stage research projects.

Key Contributions

Dr. Merugu has pioneered the development of flow cytometry-based assays to detect targetable cancer populations, significantly contributing to personalized medicine. She led groundbreaking studies utilizing circulating tumor cells as predictive biomarkers in neuroblastoma, influencing early-phase clinical trial protocols internationally. Her research in acute myeloid leukemia demonstrated the immunomodulatory effects of epichaperome inhibition, opening new avenues for targeted precision therapies.

Awards & Recognition

She has received recognition for her outstanding presentations and research achievements, including a prestigious oral presentation award at Memorial Sloan Kettering Cancer Center and a scholarship for her doctoral studies at Newcastle University.

Professional Roles & Memberships

Dr. Merugu is an accomplished research leader and mentor, known for her ability to manage cross-functional clinical research teams and coordinate complex trials. She collaborates with clinicians, regulatory bodies, and laboratory scientists to ensure high-quality translational research while fostering scientific mentorship and professional development for junior researchers.

Profile

Scopus | Google Scholar | Research Gate | LinkedIn

Featured Publications

Merugu, S., Chen, L., Gavens, E., Gabra, H., Brougham, M., Makin, G., Ng, A. Detection of circulating and disseminated neuroblastoma cells using the ImageStream flow cytometer for use as predictive and pharmacodynamic biomarkers. Clinical Cancer Research, 26, 122-134.

Merugu, S., Sharma, S., Kaner, J., Digwal, C., Sugita, M., Joshi, S., Taldone, T. Chemical probes and methods for single-cell detection and quantification of epichaperomes in hematologic malignancies. Methods in Enzymology, 639, 289-311.

Rodina, A., Xu, C., Digwal, C., Joshi, S., Seela, A., Bay, S., Merugu, S. Systems-level analyses of protein-protein interaction network dysfunctions via epichaperomics identify cancer-specific mechanisms of stress adaptation. Nature Communications, 14, 3742.

Sugita, M., Wilkes, D.C., Bareja, R., Eng, K.W., Nataraj, S., Jimenez-Flores, R.A., Merugu, S. Targeting the epichaperome as an effective precision medicine approach in a novel PML-SYK fusion acute myeloid leukemia. NPJ Precision Oncology, 5, 44.

Joshi, S., Gomes, E.D.G., Wang, T., Corben, A., Taldone, T., Gandu, S., Merugu, S. Pharmacologically controlling protein-protein interactions through epichaperomes for therapeutic vulnerability in cancer. Communications Biology, 4, 1333.

Impact Statement / Vision

Dr. Merugu envisions advancing precision oncology by integrating biomarker discovery and immune-monitoring innovations into clinical practice. She is committed to translating cutting-edge research into therapies that improve patient outcomes while mentoring the next generation of clinical scientists.

Liyun Ding | Condensed Matter Physics | Best Researcher Award

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Prof. Liyun Ding | Condensed Matter Physics | Best Researcher Award

Lanzhou University | China

Prof. Liyun Ding is a distinguished scholar in condensed matter physics and optical sensing technology, currently serving as a Professor and doctoral supervisor at the School of Physical Science and Technology, Lanzhou University. She received the Outstanding Young Scientist Fund of Hubei Province in 2021 and has made significant contributions to interdisciplinary research spanning materials science, microelectronics, and medicine. From 2015 to 2022, she worked as a researcher at Wuhan University of Technology before joining Lanzhou University in 2022, where she continues to lead pioneering studies in optical sensitive nanocomposite materials, optical fiber chemistry, and advanced biosensors. Her research focuses on high-performance optical sensing technology, biological and chemical recognition mechanisms, and the development of cost-effective and precise optical and biochemical sensors, with notable applications in cancer diagnosis and ion detection. She has successfully led multiple national and provincial research projects, including grants from the National Natural Science Foundation of China and the Science and Technology Program of Gansu Province. Prof. Ding has published more than 100 academic papers in prestigious journals such as Med, Biosensors & Bioelectronics, and Sensors and Actuators B: Chemical, alongside securing ten authorized patents and three more under process. According to Web of Science, her publications have been cited over 1,928 times across 1,726 documents, and she holds an h-index of 24 with 133 indexed documents, reflecting her academic impact. She maintains strong collaborations with Lanzhou University’s affiliated hospitals to advance biomedical applications of optical biosensors and is a member of the Optical Testing Committee of the Chinese Optical Society.

Profile: Scopus | ORCID

Featured Publications

Xiao, B., Gao, Z., Zhang, H., Zhang, J., Wang, S., Long, G., Wei, S., Huang, J., Yao, R., Jiang, X., Ma, F., … (2025). Synthesis, properties, and typical applications of MXene‐based heterostructure materials. Advanced Materials Interfaces. Wiley Online Library.

Gao, L., Xiao, B., Lin, Y., Fang, X., He, S., Bai, M., Zhang, L., Ma, Y., Mi, N., Fu, W., Huang, C., Tian, L., … (2025). Real-time diagnosis of cholangiocarcinoma by combining digestive endoscopy and optic fiber biosensors based on bile clusterin. Med. Cell.com.

Ding, L., Gao, Z., Zhang, B., Xiao, B., Yang, L., Zhang, D., Chen, S., Gou, L., Che, T., Zheng, X. (2025). A new optical fiber sensor based on the CDs@ UiO66 complex fluorescence probe for nitric oxide detection. Nanoscale. RSC Publishing.

Wang, S., Cheng, K., Chen, S., Wei, S., Ding, L., Yang, L., Che, T., Wang, N. (2025). Early detection and screening of bladder cancer based on a novel optical fiber surface plasmon resonance sensor. IEEE Sensors Journal. IEEE.

Xu, C., Deng, Y., Man, J., Ding, L., Yang, L. (2025). dd-cfDNA interpretation: Same sample, different story? Transplantation. Lippincott Williams & Wilkins.

Ning Li | Bio-Inspired Interface | Best Researcher Award

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Assoc. Prof. Dr. Ning Li | Bio-Inspired Interface | Best Researcher Award

Associate Professor | Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences | China

Assoc. Prof. Dr. Ning Li is an accomplished Associate Researcher at the Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, with a strong background in bio-inspired materials and interfacial science. She earned her Bachelor’s and Master’s degrees in Pharmacy from China Pharmaceutical University under the guidance of Professor Yu Wang, focusing on the pharmacological study of Tangshenfang for diabetes treatment. In 2018, she obtained her Ph.D. in Science from the Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, supervised by Academician Lei Jiang, where her research centered on the design of bio-inspired wetting materials, bioanalysis, and electrostatic regulation of charged fluids. She then joined Beihang University as part of the “Excellence Hundred Talents” Postdoctoral Program, leading multiple projects funded by the China Postdoctoral Science Foundation. From 2020 to 2023, she returned to the Technical Institute of Physics and Chemistry, CAS, serving as Principal Investigator of a National Natural Science Foundation of China (NSFC) Youth Project and contributing to national-level key research projects, including the Ministry of Science and Technology’s “Transformational Technologies” initiative. Since 2023, Dr. Li has continued her innovative research at the Beijing Institute of Nanoenergy and Nanosystems, focusing on bio-inspired intelligent interfacial materials, contact electrification at polymer liquid–solid interfaces, dynamic wetting of charged fluids, and electrostatic regulation. She has published over 20 SCI papers in leading journals such as Advanced Materials, ACS Nano, Angewandte Chemie International Edition, and Small Methods, and holds one granted invention patent with two additional applications. Recognized for her contributions, she received the Third Prize at the 2019 International Bionic Innovation Competition and currently serves as a Guest Editor for Applied Sciences. Her pioneering research continues to bridge materials science and bio-inspired engineering, advancing fundamental understanding and practical applications in intelligent interfacial systems.

Profile : ORCID | Google Scholar

Featured Publication

  • Li, N., Yang, P., Bai, Z., Shen, T., Liu, Z., Qin, S., Hu, J., Yu, C., Dong, Z., & Chen, X. (2025). Bioinspired electrostatic capture-and-release system for precise microdroplet manipulation. Advanced Materials, 37(9), 2418711.

  • Bai, Z., Li, N., Fan, Y., Wang, Y., Bai, L., Jiang, L., & Dong, Z. (2025). Driving pesticide application efficiency through nanoscale interfacial control. ACS Nano, 19(29), 26261.

  • Zifei, Li, N., & Chen, X. (2025). Exploring triboelectric polymers: Strategies for performance optimization and long-term stability. Small Methods.

  • Shen, T., Li, N., Liu, S., Yu, C., Zhang, C., Yang, K., Li, X., Fang, R., Jiang, L., & Dong, Z. (2024). Fast prototype and rapid construction of three-dimensional and multi-scaled pitcher for controlled drainage by systematic biomimicry. International Journal of Extreme Manufacturing, 6(3), 035502.

  • Li, N., Xu, Z., Zheng, S., Dai, H., Wang, L., Tian, Y., Dong, Z., & Jiang, L. (2021). Superamphiphilic TiO2 composite surface for protein antifouling. Advanced Materials, 33(25), 2003559.

 

 

Ting Wang | Electronic Science | Best Researcher Award

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Prof. Ting Wang | Electronic Science | Best Researcher Award

Professor | Nanjing University of Posts and Telecommunications | China

Professor Wang Ting is a distinguished scholar in the field of flexible electronics, currently serving as a Jiangsu Distinguished Professor, National Excellent Young Scientist, and doctoral supervisor at the National Key Laboratory of Flexible Electronics, Nanjing University of Posts and Telecommunications. A member of the Communist Party of China, she leads a pioneering research group focusing on precision control and sensing mechanisms of biochemical interfaces, precision fabrication and application of flexible materials, wearable intelligent electronics, implantable flexible diagnostic and therapeutic systems, and intelligent drug controlled release systems. Her academic journey began at Hunan Normal University, where she obtained her undergraduate and master’s degrees in electroanalytical chemistry under the guidance of Academician Yao Shouzhe, followed by a Ph.D. in environmental materials at Central South University under Academician Chai Liyuan. She then pursued postdoctoral research at Nanyang Technological University, Singapore, working on flexible biosensors under Academician Chen Xiaodong. Since 2021, she has been a professor at Nanjing University of Posts and Telecommunications, making significant contributions to interdisciplinary research in bioelectronics and flexible systems. Professor Wang has published extensively in leading international journals such as Nature Electronics, Nature Communications, and Advanced Materials, and has co-edited influential books including “Frontier Technologies of Integrated Micro-Nano Systems” and “Bioelectronics.” She has successfully led and participated in major national and provincial research projects, including the National Natural Science Foundation of China Excellent Young Scientists Fund, Jiangsu Distinguished Professor Award, and key provincial programs in brain-computer interface and brain-inspired intelligence. Recognized with honors such as Mine Young Scientist (2023) and Nanoscale Emerging Scientist (2022), she has also been invited to deliver talks at prestigious conferences worldwide and continues to inspire young researchers as an academic mentor and competition instructor.

Profile: Google Scholar | Staff Page

Featured Publication

  • Wang, T., Wang, M., Wang, J., Yang, L., Ren, X., Song, G., Chen, S., Yuan, Y., Liu, R., Pan, L., Li, Z., Leow, W. R., Luo, Y., Ji, S., Cui, Z., He, K., Zhang, F., Lv, F., Tian, Y., Cai, K., Yang, B., Niu, J., Zou, H., Liu, S., Xu, G., Fan, X., Hu, B., Loh, X. J., Wang, L., & Chen, X. (2022). A chemically mediated artificial neuron. Nature Electronics, 5, 586–595.

  • Wang, T., Lei, Q. L., Wang, M., Deng, G., Yang, L., Liu, X., Li, C., Wang, Q., Liu, Z., Wang, J., Cui, Z., Utama, K. G., Ni, R., & Chen, X. (2020). Mechanical tolerance of cascade bioreactions via adaptive curvature engineering for epidermal bioelectronics. Advanced Materials, 32, 2000991.

  • Wang, T., Wang, M., Yang, L., Li, Z., Loh, X. J., & Chen, X. (2020). Cyber-physiochemical interfaces. Advanced Materials, 32, 1905522.

  • Guo, L., Wang, T., Wu, Z., Wang, J., Wang, M., Cui, Z., Ji, S., Cai, J., Xu, C., & Chen, X. (2020). Portable food freshness prediction platform based on colorimetric barcode combinatorics and deep convolutional neural networks. Advanced Materials, 32, 2004805.

  • Wang, T., Qi, D., Yang, H., Liu, Z., Wang, M., Leow, W. R., Chen, G., Yu, J., He, K., Cheng, H., Wu, Y. L., Zhang, H., & Chen, X. (2019). Tactile chemomechanical transduction based on an elastic microstructured array to enhance the sensitivity of portable biosensors. Advanced Materials, 31, 1803883.

 

 

Mingkai Yang | Engineering | Best Researcher Award

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Mr. Mingkai Yang | Engineering | Best Researcher Award

Dalian Maritime University | China

Mr. Mingkai Yang is a dedicated student at Dalian Maritime University, pursuing his Bachelor of Science degree with a strong focus on computer vision and machine learning. His academic journey reflects a passion for exploring cutting-edge technologies in visual perception and intelligent systems, particularly within the field of Simultaneous Localization and Mapping (SLAM). He has contributed to the research community through completed projects and publications, including the development of MSGS-SLAM, a real-time semantic SLAM system built upon 3D Gaussian Splatting for monocular cameras. This work integrates semantic labels with geometric priors to achieve robust and accurate reconstruction, enabling high-fidelity rendering and providing dense semantic maps for enhanced scene understanding. His research demonstrates state-of-the-art performance in both pose estimation and mapping, reflecting his ability to combine theoretical knowledge with practical innovation. Beyond his independent contributions, he has collaborated with academic mentors, such as Associate Professor Fei Wang, further strengthening his foundation in advanced computational methods and interdisciplinary research. Mingkai also gained exposure to consultancy and industry-related projects, showcasing his ability to apply academic insights to practical challenges. With growing expertise in SLAM and computer vision, he is driven to advance his knowledge and contribute to the broader field of artificial intelligence and robotics, aiming to solve real-world problems through innovative approaches. His commitment to academic excellence, technical innovation, and collaborative research marks him as a promising young scholar with the potential to make significant contributions to science and technology in the coming years.

Profile: ORCID

Featured Publication

Yang, M., Ge, S., & Wang, F. (n.d.). MSGS-SLAM: Monocular Semantic Gaussian Splatting SLAM.

Takwa Hamdi | Energy Technologies | Best Researcher Award

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Ms. Takwa Hamdi | Energy Technologies | Best Researcher Award

PhD Candidate in Mechanical and Energy Engineering | University of Gabes | Tunisia

Ms. Takwa Hamdi is a dedicated PhD student in Mechanical and Energy Engineering at the National Engineering School of Gabes, Tunisia, specializing in advanced combustion modeling and alternative fuels. With a strong academic foundation, she has pursued her bachelor’s, master’s, and doctoral studies in mechanical engineering with excellence, graduating as class valedictorian during her master’s program. Her research focuses on dual-fuel engine combustion, particularly the use of light alcohols and hydrogen in internal combustion engines, employing advanced numerical simulation tools such as ANSYS Forte, Matlab, Abaqus, SolidWorks, and CFD-based approaches. Driven by a passion for sustainable energy solutions, she is motivated to contribute to the development of low-emission technologies that address global energy challenges. Alongside her research, Takwa serves as an Adjunct Lecturer at the Higher Institute of Technological Studies of Gabes, where she teaches courses in dismountable assembly processes, CAD using SolidWorks, welding, and mechanical design projects, combining theoretical knowledge with hands-on applications to support student learning. She has also gained experience in developing educational materials, supervising student projects, and guiding practical workshops, which highlights her strong communication and leadership skills. Fluent in Arabic, French, and English, she is able to collaborate effectively in international and multicultural environments. Beyond her academic and teaching career, she demonstrates strengths in analytical thinking, problem-solving, and research innovation, with interests in technology, cultural exploration, and community volunteering. Motivated, research-oriented, and passionate about innovation, Takwa aims to further her expertise by contributing to cutting-edge projects in energy, combustion, and sustainability through collaborative scientific research and internships.

Profile: Scopus | LinkedIn | ResearchGate

Featured Publications

Hamdi, T., Hamdi, F., Molima, S., Domínguez, V. M., Rodríguez-Fernández, J., Hernández, J. J., & Chrigui, M. (2025). Numerical investigation of hydrogen substitution ratio effects on spray characteristics, combustion behavior, and emissions in a dual-fuel compression ignition engine.

Molima, S., Hamdi, F., Hamdi, T., Muya, G. T., Mondo, K., Amsini, S., & Chrigui, M. (2025). Effects of H2 substitution on combustion and emissions in ammonia/diesel compression ignition engine. Energy Conversion and Management, Elsevier.

Hamdi, T., Hamdi, F., Molima, S., Hernandez, J. J., & Chrigui, M. (2025). Computational analysis on the effect of methanol energy ratio on the spray and combustion pattern of a dual-fuel compression ignition engine. Journal of Energy Resources Technology, ASME.

Wang Yuxin | Terahertz | Best Researcher Award

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Ms. Wang Yuxin | Terahertz | Best Researcher Award

Henan University of Technology | China

Wang Yuxin is a highly motivated and accomplished undergraduate student majoring in Internet of Things Engineering at Henan University of Technology, expected to graduate in 2026. With an outstanding academic record, she ranks in the top one percentage of her class, maintaining , and has received multiple scholarships and honors, including the Henan Province Three Good Students award and the School Outstanding Student Scholarship. Her academic excellence spans core courses such as Data Structures and Algorithms, Algorithm Analysis and Design, Database Systems, Java Programming, and Object-Oriented Programming. Wang Yuxin has actively engaged in innovative research projects, including a Micro-wind Power Generation Device and Online Monitoring Platform, where she managed sensor data acquisition, data cleaning, feature engineering, and predictive modeling using LightGBM, with real-time data uploaded to Alibaba Cloud. She also contributes to gold price forecasting and data analysis, developing ARIMA and Random Forest models to improve prediction accuracy. Beyond academics, she has participated in campus practices such as refereeing at the World Robotics Competition Finals, assisting in the NeuroMaster Brain Science AI Challenge, and volunteering for China-Taiwan exchange programs, fostering cultural communication. Her achievements include winning national and provincial awards in competitions, earning multiple patents, software copyrights, and publishing research papers. Wang Yuxin is proficient in C/C++ and Python, skilled in Linux and office software, and possesses a sunny, optimistic personality with strong communication skills. She enjoys running and photography and demonstrates resilience and dedication in both academic and extracurricular pursuits.

Profile: Scopus

Featured publication

Ge, H., Cao, W., Wang, S., Ji, X., Jiang, Y., Liu, X., Zhou, Y., Zhang, Y., Sun, Q., & Wang, Y. (2025). Reverse design of three-band terahertz metamaterial sensor. Nanomaterials.

Muhammad Irfan Khan | Deep Learning | Best Researcher Award

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Mr. Muhammad Irfan Khan | Deep Learning | Best Researcher Award

University of Electronic Science and Technology of China | China

Muhammad Irfan Khan is a dedicated ML Security Engineer, researcher, and academic professional specializing in artificial intelligence, cybersecurity, and image processing, currently pursuing his M.S. in Information and Communication Engineering at the University of Electronic Science and Technology of China (UESTC), Chengdu. He has worked as a Machine Learning & Security Engineer at Victoriam.ai Solution, USA, where he developed threat detection models and optimized real-time security frameworks, and as a Research Intern at LinkDoc Technology, contributing to medical image segmentation advancements. At Namal University, Pakistan, he gained substantial experience as a Research Assistant, Teaching Assistant, and Lab Engineer, supporting AI/ML research, supervising projects, and co-authoring multiple peer-reviewed publications. His research contributions include journal articles such as “Genetic Algorithm Based Hybrid Deep Learning Framework for Stability Prediction of ABO3 Perovskites in Solar Cell Applications” (Energies, 2025), “Forecasting Fluctuations in Cryptocurrency Trading Volume Using a Hybrid LSTM-DQN Reinforcement Learning” (Digital Finance Journal, 2025), “Machine Learning-Powered Malware Detection in Encrypted IoT Traffic” (IEEE Journal of IoT, 2024), and “Decoding Emotions: U-Net-Driven Pattern Recognition for fMRI Analysis” (IEEE Transactions on Medical Imaging, 2025), along with conference proceedings in ICICT and IBCAST. He has served as a reviewer for international journals and conferences, including Computational Economics (Springer), Scientific Reports (Nature), and AAAI-26. His technical strengths span deep learning, reinforcement learning, cybersecurity, computer vision, and data-driven optimization, while also excelling in leadership and collaborative research. Despite his growing recognition, his current Scopus/Google Scholar profile records 2 documents reflecting his early yet impactful stage in research.

Profile: Scopus | LinkedIn

Featured Publication

Wali, S., Khan, M. I., & Zulfiqar, N. (2025). Forecasting fluctuations in cryptocurrency trading volume using a hybrid LSTM–DQN reinforcement learning. Digital Finance Journal.

 

Mr. Kiya Kefeni Benti | Civil Engineering | Best Researcher Award

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Kiya Kefeni Benti | Civil Engineering | Best Researcher Award

PhD Scholar | University of Johannesburg | South Africa

Kiya Kefeni Benti is a distinguished water resources engineer and academic with extensive expertise in hydrology, climate change, and environmental impact assessment. Currently a lecturer and researcher at Adama Science and Technology University, Ethiopia, he leads the Department of Water Resources Engineering and actively contributes to the Water Resources and Irrigation Engineering Center of Excellence. Kiya holds a Ph.D. (ongoing) in Civil Engineering (Water Engineering) from the University of Johannesburg, South Africa, where his research focuses on modeling climate change impacts on hydrological processes and estimating groundwater recharge in the Olifants River Basin for sustainable water resource management. He earned his MSc in Water Resources Engineering (Very Great Distinction) from Adama Science and Technology University, with a thesis on assessing climate change impacts on water availability in the Upper Awash Sub-Basin, Ethiopia, and a BSc in Water Resources and Irrigation Engineering (Distinction) from the same institution. Kiya is a registered professional engineer with APEGA and APEGS, recognized for his strong problem-solving skills, teamwork, and leadership in both research and teaching. His professional training includes advanced hydrologic and spatial analysis, remote sensing for agriculture, WaPOR-based water productivity analysis, and Python-based geospatial modeling. His research interests span hydrology, watershed management, integrated water resources management, hydro-informatics, climate change impact assessment, surface and groundwater modeling, irrigation water demand, and land and water productivity. Kiya has published impactful research, including the 2025 article “Assessing Streamflow Response to Climate Change Under Shared Socioeconomic Pathways in the Olifants River Basin, South Africa”. He has received multiple awards for academic excellence, including gold medal recognition for his MSc performance. His contributions have earned him an h-index reflecting scholarly impact, and he continues to mentor graduate students while advancing sustainable water management practices.

Profile: ORCID | Linked In

Featured Publication

Benti, K. K., Dinka, M. O., Rwanga, S. S., & Aredo, M. R. (2025). Assessing streamflow response to climate change under shared socioeconomic pathways (SSPs) in the Olifants River Basin, South Africa. Hydrology, 12, 244.

 

Ms. Megan Knapp | Capstone Project | Best Research Article Award

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Megan Knapp | Capstone Project | Best Research Article Award

Clinical Resident in Prosthetics and Orthotics | Hanger Clinic | United States

Ms. Megan Knapp is an accomplished healthcare professional specializing in Prosthetics and Orthotics, with a strong academic foundation and extensive clinical and technical experience that bridges theory and patient-centered practice (Knapp, 2025). She is currently pursuing her Master of Science in Prosthetics and Orthotics at Kennesaw State University, where she maintains while working part-time as a Paramedic, serving as a Graduate Research Assistant to Dr. Mark Geil on the Infant Crawling Study, and participating in the student-led organization POP – Promoting Orthotics and Prosthetics. Her academic journey began with a Bachelor of Science in Health Care Studies from the University of Texas at Dallas, where she maintained authored a comprehensive research paper on Prosthetics and Orthotics in Pediatrics and Young Adults (University of Texas at Dallas, 2022). Megan’s clinical experience spans over 500 hours across multidisciplinary environments, including Shriner’s Children’s Hospital, Children’s Healthcare of Atlanta, Scottish Rite Hospital, and the Veteran’s Administration Medical Center, providing her with skills in patient care, orthotic design, and prosthetic fabrication. She has further honed her technical expertise through hands-on fabrication training at Hanger Central Fabrication and the Children’s Healthcare of Atlanta Lab. Professionally, Megan has served as a Paramedic with American Medical Response since 2014, delivering advanced emergency medical interventions in high-pressure scenarios, and more recently as a Clinical Resident at Hanger – Spring Hill, specializing in treating pediatric patients with lower limb dysfunctions, scoliosis, cranial remolding, and prosthetics. Dedicated to research, innovation, and community engagement, she has contributed to academic documents, clinical reports, and awareness initiatives for limb differences through volunteer work with Blaze Sports and Camp No Limb-itations. With strong communication, problem-solving, and fabrication skills, Megan Knapp continues to demonstrate her commitment to advancing patient outcomes through evidence-based practice and hands-on innovation .

Profile : Google Scholar | LinkedIn

Featured Publication

Geil, M. D., Cannoy, J., Stockwell, E., Coulter, C., Knapp, M., Blackwelder, L., & others. (2025). Understanding weightbearing symmetries during crawling in typically developing infants and infants with limb loss. Symmetry, 17(9).