Prof. Dr. Lacramioara Popa | AI in Medicine | Best Researcher Award

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Prof. Dr. Lacramioara Popa | AI in Medicine | Best Researcher Award

Carol Davila University of Medicine and Pharmacy | Romania

Dr. Popa Lăcrămioara is a distinguished professor and habilitated doctor at the Carol Davila University of Medicine and Pharmacy, Faculty of Pharmacy, Bucharest, Romania. With an academic career spanning over three decades, she has made significant contributions to the fields of physical and colloidal chemistry, pharmaceutical sciences, and scientific research methodology. Since, she has served as a professor, leading numerous undergraduate, postgraduate, and doctoral courses, AI in Medicine   and has been instrumental in developing and implementing innovative curricula such as scientific research methodology and intellectual property studies within the doctoral school. Her research expertise lies in drug design, pharmaceutical formulation, nanostructured materials for biomedical applications, and quality by design principles. Over the years, Dr. Popa has published extensively, with 100 scientific documents, accumulating 1,649 citations across 1,401 referencing documents, and achieving an impressive h-index of 21, reflecting her impactful scholarly influence in pharmaceutical and chemical sciences. her dedication to education, mentorship, and research excellence continues to inspire the next generation of pharmacists and scientists, solidifying her reputation as a leading academic figure in Romanian and international pharmaceutical education and research.

Profiles: Scopus | Orcid

Featured Publications

Hodoșan, C., Gîrd, C. E., Marin, Ș.-C., Mihalache, A., Luță, E.-A., Ioniță, E.-I., Biță, A., Gheorghe, Ș., Feodorov, L., Popovici, V., & Popa, L. (2025, October). Phytochemical composition and antioxidant activity of traditional plant extracts with biocidal effects and soil-enhancing potential. Antioxidants, 14(10), 1198.

Luca, I., Albu Kaya, M. G., Țuțuianu, R., Dinu-Pîrvu, C. E., Marin, M. M., Popa, L., Titorencu, I., Anuța, V., & Ghica, M. V. (2025, October 2). Effect of gellan gum on the properties of collagen-HPMC freeze-dried hydrogels for mucosal administration. Gels, 11(10), 793.

Anuța, V., Blidaru, A., Dinu-Pîrvu, C.-E., Fierascu, R. C., Fierascu, I., Toma (Sărdărescu), D.-I., Popa, L., Ghica, M. V., & Prisada, R.-M. (2025, July 2). Metal-based nanoparticles with biostimulatory effects: Harnessing nanotechnology for enhanced agricultural sustainability. Materials, 18(13), 3142.

Popa, L., Ghica, M. V., & Dinu-Pîrvu, C.-E. (2025, May 19). Chitosan biomaterials: Advances and challenges—2nd edition. International Journal of Molecular Sciences, 26(10), 4836.

Tudoroiu, E.-E., Albu Kaya, M. G., Dinu-Pîrvu, C. E., Popa, L., Anuța, V., Ignat, M., Visileanu, E., Kaya, D. A., Prisada, R. M., & Ghica, M. V. (2025, May 7). Development of smart pH-sensitive collagen-hydroxyethylcellulose films with naproxen for burn wound healing. Pharmaceuticals, 18(5), 689.

Mr. Muhammad Abbas | Mathematics | Best Researcher Award

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Mr. Muhammad Abbas | Mathematics | Best Researcher Award

University of Peshawar | Pakistan

Mr. Muhammad Abbas is an MPhil scholar in the Department of mathematics at the University of Peshawar, Pakistan, specializing in dynamic systems and neural network models. His academic jouney reflects a deep commitment to understanding complex systems through mathematical modeling and analytical methods. His primary research interests include dynamic systems, neural network models, fixed point theory, time scale theory, Mathematics and control theory. Muhammad abbas has contributed three research papers published in reputed journals indexed in scopus and other international databases, earning a total of 3 citations and achieving an h-index of 1. His recent study makes a pioneering contribution by examining synchronization and stability issues in a network of spiking neural networks with time delays over time scales. this innovative work introduces new control strategies-feedback and output control protocols-to achieve ulam-hyers-rassias stability and exponential synchronization. Through his growing research portfolio, Muhammad Abbas aims to advance the mathematical foundations of neural systems and control theory while bridging the gap between theoretical research and real-world computational models. With a focus on quality research and academic excellence, he continues to explore emerging intersections between mathematics and intelligent systems, contributing to the broader development of computational and applied mathematical sciences.

Profile: Scopus

Featured Publication

Abbas, M. (2025). Exponential synchronization and Ulam-Hyers-Rassias stability for n spiking neural networks with time delays via different controller matrix over a time scale. Ain Shams Engineering Journal.

Mr. Nitin Desai | Industrial Robotics | Best Researcher Award

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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. Jack Ng Kok Wah | Robotic Surgery | Best Researcher Award

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Dr. Jack Ng Kok Wah | Robotic Surgery | Best Researcher Award

Multimedia University Cyberjaya | Malaysia

Dr. Jack Ng Kok Wah is a senior lecturer at the faculty of management, Multimedia University, Malaysia, with many years of combined experience spanning academia, healthcare, finance, education, and tourism. A distinguished ai and digital marketing researcher, he has authored 10 scopus- and wos-indexed documents, achieving 42 citations and an h-index of 3, reflecting the growing global recognition of his research impact. His scholarly work focuses on artificial intelligence in healthcare, digital mental health, agricultural innovation, Robotic Surgery and consumer behaviour, publishing extensively in top-tier q1 and q2 journals. Dr. Jack Ng earned his Ph.d. in business from Universiti Malaya-Wales, an MBA in marketing management from the university of nottingham trent, and a BA in marketing management from the university of northumbria, UK. A certified and accredited HRDF trainer and pikom professional, he combines academic depth with practical industry expertise. His excellence in teaching is consistently reflected through outstanding course ratings and innovative delivery methods. beyond academia, he actively contributes as a keynote speaker and cross-institutional collaborator, notably with xi’an jiaotong–liverpool university. Featured in britishpedia: successful people in malaysia & singapore, Dr. Jack Ng continues to bridge academic insight with real-world applications for social and industrial progress.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Ng Kok Wah, J. (2025). Empowering minds: How self-efficacy, self-esteem, and social support drive digital mental health engagement. Frontiers in Public Health.

Ng Kok Wah, J. (2025). Revolutionizing surgery: AI and robotics for precision, risk reduction, and innovation. Journal of Robotic Surgery.

Ng Kok Wah, J. (2025). Artificial intelligence in language learning: A systematic review of personalization and learner engagement. Forum for Linguistic Studies, 7(9).

Ng Kok Wah, J. (2025). The robotic revolution in cardiac surgery. Journal of Robotic Surgery.

Ng Kok Wah, J. (2025). AI-driven robotic surgery in oncology: Advancing precision, personalization, and patient outcomes. Journal of Robotic Surgery.

Mr. Ali Ghossein | Knee Surgery | Excellence in Healthcare Robotics

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Mr. Ali Ghossein | Knee Surgery | Excellence in Healthcare Robotics

Artemed Krankenhaus Düren | Germany

Mr. Ali Ghossein is a Dutch consultant orthopedic trauma surgeon and robotic knee specialist, currently serving as Department Leader of Joint Replacement and Section Leader for Joint Replacement in Düren. He previously worked as a Consultant Orthopedic Trauma Surgeon in Geilenkirchen, undertook specialist orthopedic trauma training at the University of Aachen, and simultaneously serves as a pre-hospital emergency physician. He holds an MSc in Medicine from the University of Maastricht, and has implemented two robotic knee surgery programmes in hospitals in Germany, mastering both conventional and robotic knee joint replacement (unicondylar and revision), Knee Surgery as well as arthroscopies and general (child) trauma. He is also Chairman of the Taskforce QRS (Netherlands), which organises CPR training in secondary schools. According to public scholarly databases, his publication count is modest ≈ 7 works with a predicted h-index of 1 and citation count around 6; for example one ResearchGate record lists 8 works and 6 citations. Although early in his academic publishing career, Dr. Ghossein’s clinical leadership in robotic knee surgery and trauma positions him as a practitioner with a unique blend of high-tech surgical innovation and medical education commitment.

Profile: Scopus

Featured Publication

Ghossein, A. (2025). Use of robotics may facilitate earlier functional recovery and reduce overcorrection compared to conventional implantation techniques in total knee arthroplasty: A single-surgeon cohort study. BMC Musculoskeletal Disorders.

Dr. Varuliantor Dear | Advanced Motion Planning | Best Researcher Award

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Dr. Varuliantor Dear | Advanced Motion Planning | Best Researcher Award

National Research and Innovation Agency of Indonesia | Indonesia

Dr. Varuliantor Dear is a distinguished researcher in the field of telecommunication engineering, currently serving as a senior researcher at the space research center, Badan Riset Dan Inovasi Nasional, Indonesia. He earned his bachelor’s degree in telecommunication engineering from University Krisnadwipayana, followed by a master’s and doctor of philosophy from Institute technology Bandung, specializing in ionospheric communication systems and multi-carrier modulation techniques. With over a decade of experience in space and ionospheric communication research, he previously served as a young researcher at lembaga penerbangan dan antariksa nasional and as an intern researcher at the space earth technology–ingv in Rome, Italy. His scientific contributions focus on the optimization of ionospheric propagation channels and the Advanced Motion Planning, development of reliable telecommunication systems. Dr. Dear has authored 22 research documents, which have collectively received 122 citations across 117 sources, reflecting his growing academic influence and an h-index of 3. he also contributes to the academic community as a reviewer for the spectral journal at Politeknik negeri Jakarta, ensuring research quality in electronics and telecommunication engineering. Through his work, he continues to advance Indonesia’s research excellence in space and telecommunication sciences.

Profiles: Scopus | Orcid

Featured Publications

Dear, V., Harjosuwito, J., Mardiani, A. S., Purwono, A., Bahar, A., Susanti, I., Priyambada, S. A., & Pradipta, R. (2025, December). Rapid determination of daily ionospheric F-layer critical frequency value using a quick-scale method based on Frequency-Time-Intensity plots. Journal of Atmospheric and Solar-Terrestrial Physics, 259, 106671.

Husin, A., Dear, V., Faturahman, A., Anggarani, S., Mardiani, A. S., Purwono, A., Harjosuwito, J., & Pradipta, R. (2025, January). Simultaneous observation of equatorial plasma bubbles and traveling ionospheric disturbances over Indonesia following the 15 January 2022 Tonga volcano eruption. Space Weather, 23(1), e2024SW004025.

Dear, V., Afero, F., Pradipta, R., Abadi, P., Arifianto, M. S., & Iskandar, I. (2024). Frequency window with homogeneous time of flight (ToF) for near vertical incidence skywave (NVIS) propagation determined based on ionograms. IEEE Access, 12, 3454599.

Dear, V., Arifianto, M. S., Abadi, P., Purnomo, C., Husin, A., Kurniawan, A., & Iskandar, I. S. (2024, June). Ionospheric channel impulse response measurement system for NVIS propagation mode over Java Island based on low-cost SDR platform. Radio Science, 59(6), e2023RS007877.

Husin, A., Dear, V., Faturahman, A., Anggarani, S., Mardiani, A. S., Purwono, A., Harjosuwito, J., & Pradipta, R. (2024, June 13). Simultaneous observation of equatorial plasma bubbles and traveling ionospheric disturbances over Indonesia following the 15 January 2022 Tonga volcano eruption [Preprint]. ESSOAr.

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

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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.

Dr. Nadia De Maio | Assistive Technologies for the Disabled | Best Researcher Award

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Dr. Nadia De Maio | Assistive Technologies for the Disabled | Best Researcher Award

University of Naples Federico II | Italy

Dr. Nadia De Maio is a Ph.d. student in mind, gender and languages at the department of humanities, University of Naples Federico II, where she also serves as a licensed clinical psychologist and psychotherapist in training. Her research integrates clinical psychology with digital innovation, exploring how artificial intelligence and technology can enhance psychological well-being and professional practice. currently, she is engaged in several interdisciplinary projects, including the design of virtual coaches based on machine learning and linguistic representations for supporting young individuals with chronic illnesses, in collaboration with the University of Padua. She also contributes to projects investigating clinicians’ well-being and professional identity during the digital transition, particularly in Assistive Technologies for the Disabled in online psychotherapy platforms. Her international collaborations include research on risk and protective factors in anxiety disorders and psychological well-being among patients with type 1 diabetes. Nadia’s academic output includes 3 published documents, which have collectively received 4 citations, reflecting her growing contribution to the evolving field of digital mental health. with an h-index of 1, she demonstrates a developing but promising research impact. Combining clinical expertise and technological innovation, Nadia De Maio represents a new generation of researchers shaping the intersection of psychology, digital health, and artificial intelligence.

Profiles: Scopus | Orcid

Featured Publications

Margherita, G., Caffieri, A., & De Maio, N. (2024, June). When the algorithm “matches” us: The experiences of early‐career psychologists on online platform services for psychotherapy and counselling in Italy. Counselling and Psychotherapy Research, 24(2), 1–12.

Margherita, G., Caffieri, A., Lenzo, V., Quattropani, M. C., De Maio, N., Franceschini, C., & Musetti, A. (2023, October 11). The “echo effect” of the pandemic in dreaming experience: A mixed-method study on contents, structure, and functions. International Journal of Dream Research, 16(2), 179–189.

Caffieri, A., De Maio, N., & Margherita, G. (2023). Accogliere il disagio e promuovere il benessere 3.0: L’esperienza di giovani psicologi nelle piattaforme online. In Atti del 14º Congresso Nazionale di Psicologia della Salute (SIPSA).

Prof. Hsin-Yuan Chen | Smart Robot | Best Researcher Award

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Prof. Hsin-Yuan Chen | Smart Robot | Best Researcher Award

Zhejiang University | China

Prof.  Hsin-Yuan  Chen is a distinguished Chang Jiang Scholar Professor and director at the center of digital technology entrepreneurship and innovation, Zhejiang University, China, and serves as an adjunct distinguished professor at Patil University, India. She holds a Ph.d. in aerospace engineering from national Cheng Kung university, where she also earned her bachelor’s degree through a direct Ph.d. program. With extensive academic and industrial experience, Dr. Chen has held key positions including professor and dean at Fujian normal university, and ai chief technology officer at Geosat technology and mobiletron electronics. her expertise spans artificial intelligence, robotics, big data, cloud computing, Smart Robot and digital innovation. She has authored 78 scholarly documents, which have collectively received 1,761 citations from 1,556 sources, achieving an h-index of 27, reflecting her significant academic impact. her exceptional contributions have been recognized globally through prestigious honors such as the IET fellowship, Asean fellowship, global top engineers medal, and multiple international awards in ai, cloud technology, and robotics. a respected editor and reviewer for numerous international journals, Dr. Chen continues to advance interdisciplinary innovation in digital transformation, artificial intelligence, and emerging technologies worldwide.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Sharma, C., Chanana, N., & Chen, H.-Y. (2025, June). Mapping the evolution: A bibliometric analysis of employee engagement and performance in the age of artificial intelligence-based solutions. Information, 16(7), 555.

Chen, H.-Y., Sharma, K., Sharma, C., & Sharma, S. (2024, November 9). Advancements in handwritten Devanagari character recognition: A study on transfer learning and VGG16 algorithm. Discover Applied Sciences. Springer Nature.

Chen, H.-Y. (2023). Artificial intelligence robots and fuzzy logic – Robotics – AI – ICT. Scientific Journal Impact Factor.

Chen, H.-Y. (2023). Blockchain and cryptocurrency: A bibliometric analysis. Journal of Advanced Computational Intelligence and Intelligent Informatics, 27(6), 822–832.

Chiang, Y.-F., Lin, I.-C., Huang, K.-C., Chen, H.-Y., Ali, M., Huang, Y.-J., & Hsia, S.-M. (2023). Caffeic acid’s role in mitigating polycystic ovary syndrome by countering apoptosis and ER stress triggered by oxidative stress. Biomedicine & Pharmacotherapy, 166, 115327.