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.

Dr. Nadeem Tariq Beigh | Bio-Inspired Robot Design | Best Researcher Award

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Dr. Nadeem Tariq Beigh | Bio-Inspired Robot Design | Best Researcher Award

Khalifa University | United Arab Emirates

Dr. Nadeem Tariq Beigh is an Indian Researcher and postdoctoral fellow at the smart and intelligent sensors lab, department of mechanical and nuclear engineering, Khalifa University, Abu Dhabi. With a Ph.d. in electrical engineering from the Indian Institute of Technology Delhi, he has established himself as a rising scholar in sustainable sensing, self-powered systems, mems/nems, and energy harvesting. His research emphasizes the design and development of dual piezoelectric/triboelectric nanocomposites, micro/nano energy harvesters, and intelligent sensor systems integrated with machine learning for smart health care and industry 5.0 applications. Dr. Beigh has previously served as a research fellow at nanyang technological university, singapore, and a research assistant at iit delhi, contributing to several high-impact projects funded by dst, Bio-Inspired Robot Design fit, and international collaborations. He has authored 33 research documents, accumulated 239 citations from 152 scholarly works, and holds an h-index of 8, reflecting his growing influence in advanced materials and micro-energy systems research. His interdisciplinary expertise bridges electrical, mechanical, and materials engineering, driving innovations in sustainable, flexible, and intelligent sensor technologies that advance the frontiers of smart electronics and self-powered devices.

Profiles: Scopus | Orcid

Featured Publications

Beigh, N. T., & Alcheikh, N. (2025, October 8). Vapor-induced porosity in graphene/PDMS: A scalable route to high-performance pressure sensors. Microsystems & Nanoengineering.

Amara, H., Beigh, N. T., & Alcheikh, N. (2025, September 17). Smart resonant micro-sensor and micro-actuator: High-performance, wide-range bi-axial magnetic sensitive/insensitive micro-device for multifunctional sensing applications. Microsystems & Nanoengineering.

Alcheikh, N., Amara, H., & Beigh, N. T. (2025, May 5). Smart resonant micro-sensor and micro-actuator: High-performance, wide-range bi-axial magnetic sensitive/insensitive micro-device for multifunctional sensing applications.

Singh, S., Beigh, N. T., Gupta, P., Mallick, D., & Goswami, A. (2025, April). Polarity-dependent surface charge retention on CYTOP fluoropolymer for durable TENG applications. Applied Materials Today.

Beigh, N. T. (2025, March 19). High-performance MEMS magnetic sensor based on a smart tunable resonator. In Proceedings of the 2025 IEEE 38th International Conference on Micro Electro Mechanical Systems (MEMS). IEEE.

Prof. Mustafa Akçelik | Host-Pathogen Interaction | Best Researcher Award

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Prof. Mustafa Akçelik | Host-Pathogen Interaction | Best Researcher Award

Ankara University | Turkey

Prof. Mustafa Akcelik is a distinguished scholar and researcher in the department of biology at Ankara university, turkey, renowned for his extensive contributions to molecular genetics, microbiology, and biotechnology. He earned his B.Sc. in biology from the faculty of science, Ankara university, followed by an M.Sc. and Ph.d. in food science from the institute of natural and applied sciences at the same university, respectively. Over his prolific academic career, he has conducted pioneering research on salmonella pathogenicity, lactic acid bacteria, genetic regulation, plasmid biology, conjugation mechanisms, phage resistance, Host-Pathogen Interaction and bacteriocin production. His teaching expertise spans genetics, microbiology, genetic engineering, and advanced topics such as genetic organization, epigenetic mechanisms, and biofilms, contributing significantly to both undergraduate and graduate education. Prof. Akcelik’s scholarly influence is reflected through his impressive academic metrics, with 1,377 citations across 1,245 documents, 98 published works, and an h-index of 20, underscoring the global impact of his research. based at the science faculty of Ankara university, he continues to inspire scientific inquiry and innovation, bridging fundamental biological science with practical applications in biotechnology and microbial genetics.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Özbek, E., Karaca, A. N., Has, E. G., Avcı, F. N., Akçelik, N., & Akçelik, M. (2025, November). Deciphering the role of SsaE in biofilm regulation and T3SS-dependent virulence of Salmonella Typhimurium. World Journal of Microbiology and Biotechnology.

Yildirim, K., & Akçelik, M. (2025, October 25). Conjugative plasmid-mediated VanA transfer and multidrug resistance genes in clinical Enterococcus faecium isolates. Journal of Balkan Science and Technology.

Latifi, H. E., Işıkdoğan, İ. Ö., Özdemir, K., Akçelik, N., Ozalp, N., & Akçelik, M. (2025, June 19). Delayed differential equations as a Salmonella biofilm model. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics.

Özdemir, C., Erdoğan, İ., Özdemir, K., Akçelik, N., & Akçelik, M. (2025, March). Comparative analysis of biofilm structures in Salmonella Typhimurium DMC4 strain and its dam and seqA gene mutants using Fourier transform infrared spectroscopy (FT-IR) and Raman spectroscopy methods. Brazilian Journal of Microbiology.

Soydam, S., Has, E. G., Sürkaç, T. N., Akçelik, M., & Akçelik, N. (2025, March). Effects of bcsE, luxS and rfaG genes on the physiology and pathogenicity of Salmonella Typhimurium. Archives of Microbiology.

 

Dr. Laila Dami | Automatic control | Best Researcher Award

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Dr. Laila Dami | Automatic control | Best Researcher Award

Cadi Ayyad University | Morocco

Dr. Laila Dami, is a dedicated researcher and educator in the field of electrical engineering and automation. She earned her doctorate in génie électrique et automatique from the université cadi-ayad, faculté des sciences semlalia, marrakech, with the distinction of très honorable avec félicitations du jury. Her academic background also includes a master’s degree in contrôle informatique industrielle, signaux et systèmes, and a professional licence in génie électrique et informatique industrielle. She has served as a primary school teacher under the ministère de l’éducation nationale du préscolaire et des sports, while actively engaging in higher education through practical teaching assignments at the faculté des sciences semlalia, department of physics. Her academic involvement covers key domains such as optics, Automatic control, digital electronics, and applied electricity. Dr. Dami’s research contributions are reflected in her scholarly metrics, with 12 published documents, 54 citations across 33 documents, and an h-index of 5, underscoring her growing impact in the scientific community. Her expertise bridges theoretical research and practical application, contributing to the advancement of electrical engineering and automation education in morocco.

Profiles: Scopus | Orcid

Featured Publications

Dami, L., Badie, K., Naami, G., & Benzaouia, A. (2025, December). Stabilization of delayed fractional-order Takagi–Sugeno fuzzy positive systems. International Journal of Dynamics and Control.

Badie, K., Dami, L., & Chalh, Z. (2024). H∞ fault detection for 2D discrete Markovian jump systems. International Journal of Systems, Control and Communications.

Dami, L., Benzaouia, A., & Badie, K. (2024, December). Stabilization of continuous two-dimensional fractional-order positive Takagi–Sugeno fuzzy systems with delays. Journal of Control, Automation and Electrical Systems.

Dami, L., & Benzaouia, A. (2023, December). Stabilization of switched two-dimensional fractional-order positive systems modeled by the Roesser model. Journal of Control, Automation and Electrical Systems.

Dami, L., & Benzaouia, A. (2023, December 18). H∞ control for 2D continuous singular systems described by the Roesser model. In 2023 IEEE 11th International Conference on Systems and Control (ICSC).

Mrs. Joy Ugbede Ameloko | Cell Biology | Women Researcher Award

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Mrs. Joy Ugbede Ameloko | Cell Biology | Women Researcher Award

African Centre for Excellence on Neglected Tropical Diseases and Forensic biotechnology | Nigeria

Dr. Ameloko Ugbede Joy is a driven biotechnology researcher and PhD research fellow at the African Center of Excellence on Neglected Tropical Disease and Forensic Biotechnology, Ahmadu Bello University Zaria, Nigeria, currently pursuing her doctorate in Biotechnology after obtaining a Bachelor of Science and a Master’s degree in Biochemistry from Nigerian institutions. Professionally, she has significant university-level teaching and demonstration experience and has actively contributed to research in maternal–fetal biology and single-cell analysis under the Chan Zuckerberg Initiative project. Her research portfolio encompasses completed work such as the anti-anaemic effect of Jatropha tanjorensis leaf extracts and non-enzymatic generation of human placental single cells, alongside ongoing investigations into transcriptional signatures of human placental cell types, Cell Biology, molecular characterization of cell-free fetal DNA in maternal plasma, chromatin accessibility profiling of term placentae, and metabolic and morphological characterization of placenta-derived cells in maternal blood and plasma. She is a member of the Nigerian Society of Biochemistry and Molecular Biology and the Teachers Registration Council of Nigeria. Her journal articles include publications such as in Current Protocols and another in Taylor & Francis, reflecting growing academic visibility. Although a formal h-index and total citation count are not publicly available at this time, her expanding publication record and presence in indexed journals indicate a rising scholarly impact.

Profile: Orcid

Featured Publications

Ameloko, J. U. (2025, October 5). Non-enzymatic generation of single cells from third-trimester human placenta.

Ameloko, J. U. (2025, September 5). Optimized enrichment of CD71+ reticulocytes from whole blood for single-cell RNA sequencing.

Ameloko, J. U. (2023, January 5). Single-cell RNA sequencing analysis of erythroid cells reveals a specific subpopulation of stress erythroid progenitor.

Ameloko, J. U. (2015, August 16). Anti-anaemic effect of aqueous and metabolic extracts of Jatropha tanjore sis leaves on phenylhydrazine-induced haemolytic anaemic rats.