Mr. Nitin Desai | Industrial Robotics | Best Researcher Award

Mr. Nitin Desai | Industrial Robotics | Best Researcher Award

Indian Institute of Technology Kharagpur | India

Dr. Nitin Desai is a distinguished researcher in industrial robotics and manufacturing automation, with a strong record of interdisciplinary contributions in both software and hardware domains. He is currently pursuing a Ph.d. in robotics at the Indian Institute of Technology Kharagpur, focusing on high-precision 6d pose estimation for robot manipulators using deep learning and 3d vision techniques. His expertise spans computer vision, vision-language models, large language models, reinforcement learning, Industrial Robotics and generative ai—applied to robotic motion planning, grasping, and autonomous decision-making. prior to his doctoral work, he earned his M.Tech. in cad cam and automation and robotics from veermata jijabai technological institute, mumbai, B.E. In mechanical engineering from dkte society’s textile & engineering institute, Kolhapur. Dr. Desai has served as a research scholar at the centre of excellence in advanced manufacturing technology, iit kharagpur, and as a technical consultant at scale ai, contributing to generative ai model training and data annotation for advanced automation systems. With 1 citation, 3 published documents, and an h-index of 1, his scholarly work reflects growing recognition in the academic community. his ongoing research continues to bridge artificial intelligence, robotics, and industrial automation for next-generation intelligent systems.

Profile: Scopus

Featured Publication

Desai, N. (2025). Implementation of Soft Computing-Based Metaheuristic Algorithms in Multiobjective Environmentally-Conscious Machining Operation Sequence Optimization with Carbon Emission Reduction.

Dr. Qiang Ziyang | Bio-Inspired Robot Design | Best Researcher Award

Dr. Qiang Ziyang | Bio-Inspired Robot Design | Best Researcher Award

Qinghai University Affiliated Hospital | China

Ziy­ang Qiang is a dedicated urologist and clinical researcher currently serving as an attending urologist at the affiliated hospital of Qinghai University, China, under the supervision of Prof. Guojun Chen. He earned his bachelor’s degree in clinical medicine and later completed a master’s degree in surgery at Ningxia Medical University under Prof. Lianghong MA, where his thesis focused on the effects of the pi3k inhibitor ly294002 on the proliferation and apoptosis of prostate cancer cell line pc-3. He further expanded his research expertise at the University hospital Halle, Germany, under Prof. P. Fornara, working on minimally invasive surgery and its comparison with open surgical procedures. Over the years, he has built a strong academic and clinical foundation, combining research insight with practical surgical experience. His scholarly contributions include several publications in peer-reviewed journals, reflecting growing recognition in the field of urology. According to available databases, Dr. Ziyang Qiang has an h-index of 8, with approximately 490 citations across about 5 documents, highlighting his active engagement in Bio-Inspired Robot Design research. his work bridges clinical innovation and academic inquiry, contributing meaningfully to advancements in urological surgery and evidence-based medical practice.

Profile: Orcid

Featured Publications

Qiang, Z., Zhang, B., Li, T., Ma, L., Kong, X., & Chen, S. (2025, October). Dysbiotic gut microbiota correlates with altered serum and urinary biomarkers in recurrent calcium oxalate stone patients. International Journal of General Medicine, 18, Article S549804.

Wang, J., Fan, M., Qiang, Z., Ren, H., Chen, H., & Dai, Y. (2025, October 9). Global research trends of robotic-assisted surgery in urogynecology and reconstructive pelvic surgery: A bibliometric and visualization analysis based on Web of Science. Journal of Robotic Surgery.

Qiang, Z. (2025, October 1). Risk factor analysis and prediction model establishment for urinary incontinence after laparoscopic radical prostatectomy. Journal of the College of Physicians and Surgeons Pakistan, 35(10), 1301–1307.

Niu, S., Xia, D., Wang, B., Wang, X., Zhang, Q., Wang, J., Jin, X., Mao, L., Ruan, Y., Wang, H., … Qiang, Z. (2025, April). Real-world effectiveness of rezvilutamide plus androgen deprivation therapy in patients with low-volume, metastatic hormone-sensitive prostate cancer: A retrospective multicenter study. Translational Andrology and Urology, 14(4), 239–249.

Zhang, J., He, J., Qiang, Z., Zhang, J., Hao, F., Song, S., Chen, X., Ma, W., & Li, Y. (2024, December 18). Methyltransferase like 13 promotes malignant behaviors of bladder cancer cells through targeting PI3K/AKT signaling pathway. Open Life Sciences, 19(12), 981–990.

Assoc. Prof. Dr. Seulki Lee – Cognitive Robotics Systems – Best Researcher Award

Assoc. Prof. Dr. Seulki Lee - Cognitive Robotics Systems - Best Researcher Award

Kwangwoon University - South Korea

Author Profile

SCOPUS

Summary

Dr. Seulki Lee, an associate professor at Kwangwoon university, is a leading academic in the field of construction engineering with a strong focus on digital transformation. her expertise spans digital knowledge representation, smart technology acceptance, off-site construction evaluation, and robotics simulation. with a comprehensive academic background from kwangwoon university and significant research experience at seoul national university, she has developed advanced methodologies integrating ontology, bim, digital twins, and power electronics. recognized by multiple prestigious awards, she continues to shape the future of construction technology through research, education, and mentorship.

Early academic pursuits

Dr. Seulki Lee’s academic journey began at Kwangwoon university, where she completed her bachelor’s degree in architectural engineering (2004–2008). her passion for construction and digital systems led her to pursue a master’s (2008–2010) and subsequently a ph.d. in construction management (2010–2014) from the same institution. Cognitive Robotics Systems her early research focused on integrating digital technologies with architectural processes—a foundation that continues to shape her work in domains such as building information modeling (bim), ontology, and power electronics in construction automation systems.

Professional endeavors

After earning her doctoral degree, Dr. lee served as a senior researcher at the institute of construction and environmental engineering, seoul national university (2014–2021). during this period, she deepened her expertise in simulation, prefabrication, and construction knowledge management. in march 2021, she returned to her alma mater, kwangwoon university, as an associate professor in the department of architectural engineering. her dual roles in research and academia have allowed her to mentor students, lead funded projects, and collaborate on national and international research initiatives, especially those integrating digital twins and robotics with power electronics.

Contributions and research focus

Digitalization of construction knowledge: She works on developing ontology-based frameworks for representing and automating reasoning over construction data using rdf, sparql, and large language models (llms). Smart technology acceptance and education: Her research explores how professionals adopt digital tools, focusing on the technology acceptance model (tam) and the development of Cognitive Robotics Systems effective safety-oriented training methods. Off-site construction and dfx evaluation: She has introduced structured evaluation systems for design for manufacturing and assembly (dfma) and quality control of prefabricated components. Construction robotics and simulation: She is a pioneer in integrating robot-friendly environments, bim, and digital twins to simulate and evaluate robotic task efficiency—especially in synergy with power electronics used in autonomous systems.

Impact and influence

Dr. Lee’s contributions have been recognized through numerous prestigious awards. these include the president’s commendation from the korean society of civil engineers (ksce) in 2025, the jeong won-seok special award in 2024, Cognitive Robotics Systems and multiple outstanding paper awards from kicem and aik. in addition, her student supervision excellence awards (2021–2024) highlight her role as a mentor and educator shaping the next generation of engineers.

Academic cites

Her work is frequently cited in areas of ontology-based construction knowledge, smart construction technologies, and construction robotics. she has contributed to numerous peer-reviewed publications and conference papers, often at the intersection of bim, simulation, and digital literacy. her academic visibility has made her a recognized authority in Cognitive Robotics Systems integrating semantic web technologies and ai reasoning into architectural and civil engineering workflows.

Legacy and future contributions

As a thought leader in the digitization of construction systems, dr. lee continues to influence policy, research, and education in smart construction. her future work aims to further automate decision-making processes through advanced reasoning engines and enhance human-robot collaboration for safer and more efficient work environments. with a Cognitive Robotics Systems commitment to standardization, sustainability, and educational reform, she is poised to leave a lasting legacy in both academia and industry.

Notable Publications

  1. Title: Automated Inference of Context-Specific Hazards in Construction Using BIM and Ontology
    Authors: [Author names not provided]
    Journal: Automation in Construction
    Year: 2025
  2. Title: A Practical Image Augmentation Method for Construction Safety Using Object Range Expansion Synthesis
    Authors: [Author names not provided]
    Journal: Buildings
    Year: 2025

Conclusion

Dr. Seulki Lee’s contributions reflect a deep commitment to modernizing construction practices through digital innovation and interdisciplinary integration. her impactful research in automation, smart education, and robotics-enabled environments—supported by technologies such as power electronics—positions her as a visionary leader in engineering. as construction rapidly evolves, her work will remain pivotal in fostering safer, smarter, and more efficient industry practices while inspiring future scholars and practitioners.