Calogero Velluto | Medicine and Dentistry | Best Researcher Award

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Dr. Calogero Velluto | Medicine and Dentistry | Best Researcher Award

MD at Università cattolica del sacro cuore, roma, Italy

Dr. Calogero Velluto is a distinguished spine surgeon and researcher specializing in orthopedic and oncological sciences. His expertise lies in spinal surgery, minimally invasive techniques, and oncological spine disorders. He has contributed significantly to the field through numerous research publications, international fellowships, and active participation in prestigious medical societies. Dr. Velluto’s academic journey, extensive clinical experience, and commitment to advancing spinal surgery through research make him a notable candidate for the Best Researcher Award.

Professional Profile 

Education

Dr. Velluto earned his degree in Medicine and Surgery from the Università degli Studi di Messina in 2018, graduating with honors. He obtained his medical license in 2019 and completed a residency in Orthopedic Surgery at Università Cattolica del Sacro Cuore in 2024. Currently, he is pursuing a Ph.D. in Oncological Sciences at the same university. Additionally, he has attended specialized training programs such as the AO Spine Course and Spine Academy.

Professional Experience

Dr. Velluto has held key roles in spine surgery at Fondazione Policlinico Universitario A. Gemelli IRCCS. He completed an international research fellowship at the San Diego Spine Foundation and underwent mentorship at Mayo Clinic. His experience includes pediatric orthopedic surgery at Ospedale Pediatrico Bambino Gesù and emergency medicine in Messina. As a dedicated researcher, he has published extensively on spinal deformities, fracture treatments, and minimally invasive spine surgery techniques.

Research Interests

Dr. Calogero Velluto’s research focuses on spinal surgery, minimally invasive techniques, and oncological spine disorders. His primary interests include spinal deformities, vertebral fractures, and advanced surgical treatments for spinal tumors. He actively investigates innovative approaches to enhance surgical outcomes, optimize recovery, and improve the quality of life for patients with complex spinal conditions. Additionally, he is involved in clinical studies exploring novel biomaterials and implants for spine stabilization. His research contributions aim to bridge the gap between surgical practice and cutting-edge medical advancements.

Awards and Honors

Dr. Velluto has received multiple accolades for his contributions to orthopedic and spine surgery. He was awarded the Best Paper Presentation at international spine conferences and has been recognized for his outstanding research in spinal oncology. His participation in prestigious fellowships, such as the San Diego Spine Foundation Research Fellowship, highlights his excellence in spine surgery. His work has earned recognition from renowned medical societies and academic institutions.

Research Skills

Dr. Velluto possesses a strong skill set in clinical and experimental research, particularly in orthopedic and spinal surgery. He is proficient in biomechanical testing, data analysis, and statistical modeling for surgical outcomes. His expertise extends to advanced imaging techniques, including MRI and CT-based diagnostic evaluations. He has significant experience in conducting systematic reviews, writing scientific publications, and collaborating on multi-institutional studies. His ability to integrate research with clinical practice allows him to develop innovative, evidence-based treatment approaches in spinal surgery.

Conclusion

Calogero Velluto is a strong candidate for the Best Researcher Award, given his extensive research contributions, international collaborations, and academic excellence in spine surgery. To further strengthen his candidacy, he should focus on increasing his research impact through higher citation metrics, securing independent funding, and diversifying his research portfolio.

Publications Top Noted

  • Title: Incidence and Risk Assessment of Acute Kidney Injury (AKI) in Spine Surgery: A Case Report and Literature Review
    Authors: Calogero Velluto, Giovan Giuseppe Mazzella, Laura Scaramuzzo, Maria Ilaria Borruto, Michele Inverso, Lorenzo Fulli, Matteo Costanzi, Marco Rossi, Luca Proietti
    Year: 2025
    Citation: Journal of Clinical Medicine, DOI: 10.3390/jcm14041210

  • Title: Epidemiology, Diagnosis, Management, and Prognosis of Spinal Metastasis: The State-of-the-Art
    Authors: Andrea Perna, Calogero Velluto, Amarildo Smakaj, Maria Concetta Meluzio, Maria Ilaria Borruto, Raffaele Vitiello, Giulio Maccauro, Andrea Franchini, Franco Lucio Gorgoglione, Luca Proietti
    Year: 2024
    Citation: Book chapter, DOI: 10.1007/16833_2024_304

  • Title: Impact of a Novel Antiseptic Lavage Solution on Acute Periprosthetic Joint Infection in Hip and Knee Arthroplasty
    Authors: Luca Andriollo, Rudy Sangaletti, Calogero Velluto, Loris Perticarini, Francesco Benazzo, Stefano Marco Paolo Rossi
    Year: 2024
    Citation: Journal of Clinical Medicine, DOI: 10.3390/JCM13113092

  • Title: Radiological Evaluation of Fusion Patterns After Lateral Lumbar Interbody Fusion With 3D-Printed Porous Titanium Cages vs. Conventional Titanium Cages
    Authors: Calogero Velluto, Gregory Mundis Jr, Laura Scaramuzzo, Andrea Perna, Giacomo Capece, Andrea Cruciani, Michele Inverso, Maria Ilaria Borruto, Luca Proietti
    Year: 2024
    Citation: Frontiers in Surgery, DOI: 10.3389/FSURG.2024.1446792

  • Title: Rethinking Strategies for Multi-Metastatic Patients: A Comprehensive Retrospective Analysis on Open Posterior Fusion Versus Percutaneous Osteosynthesis in the Treatment of Vertebral Metastases
    Authors: Laura Scaramuzzo, Andrea Perna, Calogero Velluto, Maria Ilaria Borruto, Franco Lucio Gorgoglione, Luca Proietti
    Year: 2024
    Citation: Journal of Clinical Medicine, DOI: 10.3390/JCM13113343

  • Title: The Incidence of Screw Failure in Fenestrated Polyaxial Pedicle Screws vs. Conventional Pedicle Screws in the Treatment of Adolescent Idiopathic Scoliosis (AIS)
    Authors: Calogero Velluto, Michele Inverso, Maria Ilaria Borruto, Andrea Perna, Guido Bocchino, Davide Messina, Luca Proietti
    Year: 2024
    Citation: Journal of Clinical Medicine, DOI: 10.3390/JCM13061760

  • Title: The Use of an Imageless Robotic System in Revision of Unicompartmental Knee Arthroplasty
    Authors: Luca Andriollo, Francesco Benazzo, Virgina Cinelli, Rudy Sangaletti, Calogero Velluto, Stefano Marco Paolo Rossi
    Year: 2024
    Citation: Knee Surgery, Sports Traumatology, Arthroscopy, DOI: 10.1002/ksa.12574

  • Title: Enhancing MRI Report Comprehension in Spinal Trauma: An Analysis of AI-Generated Explanations for Thoracolumbar Fractures (Preprint)
    Authors: David C. Sing, Kishan S. Shah, Michael Pompliano, Paul H. Yi, Calogero Velluto, Ali Bagheri, Robert K. Eastlack, Stephen Stephan, Gregory M. Mundis
    Year: 2024
    Citation: DOI: 10.2196/preprints.69654

  • Title: Clinical and Radiographic Results in Thoracic Hyperkyphosis Surgical Treatment Considering the Optimal Distal Fusion Area
    Authors: Laura Scaramuzzo, Fabrizio Giudici, Calogero Velluto, Giuseppe Barone, Maria Concetta Meluzio, Antonino Zagra, Luca Proietti
    Year: 2024
    Citation: Journal of Clinical Medicine, DOI: 10.3390/jcm13226799

Gil Ju Lee | Engineering | Best Researcher Award

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Prof. Gil Ju Lee | Engineering | Best Researcher Award

Associate Professor at Pusan National University, South Korea

Dr. Gil Ju Lee is an accomplished researcher and Associate Professor at the School of Electrical and Electronics Engineering, Pusan National University (PNU), South Korea. His expertise lies in novel photonic devices, advanced optoelectronics, bio-inspired imaging systems, and semiconductor nanowires. With a strong background in next-generation imaging, radiative cooling, and multifunctional nanophotonic devices, he has contributed significantly to cutting-edge technological advancements. Dr. Lee has received numerous prestigious awards, including the Outstanding Researcher Award from PNU (2022-2024) and the Samsung HumanTech Thesis Award. His research has been widely published in high-impact journals such as Nature Communications, Advanced Energy Materials, and Scientific Robotics. As the principal investigator of multiple national research projects, he continues to drive innovation in optoelectronics and nanophotonics.

Professional Profile 

Education

Dr. Gil Ju Lee earned his Integrated M.S./Ph.D. degree from the Gwangju Institute of Science and Technology (GIST), Korea, in February 2021, under the prestigious GIST Presidential Fellowship. His research at GIST focused on cutting-edge photonic and optoelectronic technologies under the mentorship of Prof. Young Min Song. Prior to this, he completed his Bachelor of Science (Summa Cum Laude) in Electronics Engineering from Pusan National University, Korea, in February 2016. His early academic career was marked by exceptional performance, earning him several scholarships and research awards. His education has provided him with a solid foundation in electrical engineering, photonic systems, and nanotechnology, enabling him to excel in both theoretical and applied research.

Professional Experience

Dr. Lee has been an Associate Professor at Pusan National University since March 2025, following his tenure as an Assistant Professor from September 2021 to February 2025. Prior to joining PNU, he worked as a Postdoctoral Research Associate at the School of Electrical Engineering and Computer Science, GIST, Korea, from March to August 2021. Throughout his career, Dr. Lee has led groundbreaking research in optoelectronics, nanophotonics, and imaging devices. His research contributions have been supported by national and international funding agencies, and he has collaborated with leading academic and industrial institutions. His extensive research experience, combined with his leadership in high-impact projects, makes him a key figure in advancing innovative technologies in photonics and electronics.

Research Interests

Dr. Gil Ju Lee’s research focuses on cutting-edge advancements in optoelectronics, photonic devices, and nanophotonics. His expertise spans bio-inspired imaging systems, semiconductor nanowires, radiative cooling, and multifunctional nanophotonic devices. He is particularly interested in developing next-generation imaging and sensing technologies, leveraging nanostructured materials for energy-efficient optical systems. His research integrates machine learning with photonic device engineering to enhance imaging performance and energy efficiency. Dr. Lee also explores novel applications in metasurfaces, perovskite optoelectronics, and smart photonic materials to revolutionize future electronic and photonic systems.

Awards and Honors

Dr. Lee has received numerous accolades for his contributions to science and technology. Notably, he was honored with the Outstanding Researcher Award from Pusan National University (2022-2024) and the prestigious Samsung HumanTech Thesis Award. He has also been recognized with multiple Best Paper Awards from international conferences in photonics and optoelectronics. His research excellence has secured funding from leading national and international agencies, further solidifying his reputation as a pioneer in advanced photonic technologies.

Research Skills

Dr. Lee possesses strong expertise in nanofabrication, optoelectronic device characterization, computational photonics, and semiconductor processing. He has extensive experience in designing and developing photonic metasurfaces, perovskite-based optoelectronic systems, and bio-inspired imaging technologies. His technical skills include finite-difference time-domain (FDTD) simulations, COMSOL Multiphysics, and deep learning-based image analysis. Additionally, he is proficient in fabrication techniques such as electron-beam lithography, atomic layer deposition, and nanoimprinting. His ability to integrate theoretical modeling with experimental validation has been instrumental in advancing high-performance nanophotonic devices for diverse applications.

Conclusion

Dr. Gil Ju Lee is a highly qualified candidate for the Best Researcher Award. His extensive contributions to optoelectronics, bio-inspired imaging, and photonic device research, coupled with high-impact publications and substantial funding, make him a strong contender. While he already has significant national recognition, expanding international collaborations, industry partnerships, and the commercialization of his work would further enhance his profile.

Publications Top Noted

  • Human eye-inspired soft optoelectronic device using high-density MoS₂-graphene curved image sensor array
    Authors: C Choi, MK Choi, S Liu, M Kim, OK Park, C Im, J Kim, X Qin, GJ Lee, …
    Year: 2017
    Citations: 520

  • Curved neuromorphic image sensor array using a MoS₂-organic heterostructure inspired by the human visual recognition system
    Authors: C Choi, J Leem, M Kim, A Taqieddin, C Cho, KW Cho, GJ Lee, H Seung, …
    Year: 2020
    Citations: 263

  • Bioinspired artificial eyes: Optic components, digital cameras, and visual prostheses
    Authors: GJ Lee†, C Choi†, DH Kim, YM Song
    Year: 2018
    Citations: 251

  • Colored, daytime radiative coolers with thin‐film resonators for aesthetic purposes
    Authors: GJ Lee, YJ Kim, HM Kim, YJ Yoo, YM Song
    Year: 2018
    Citations: 215

  • Wearable force touch sensor array using a flexible and transparent electrode
    Authors: JK Song, D Son, J Kim, YJ Yoo, GJ Lee, L Wang, MK Choi, J Yang, M Lee, …
    Year: 2017
    Citations: 194

  • A Janus emitter for passive heat release from enclosures
    Authors: SY Heo†, GJ Lee†, DH Kim, YJ Kim, S Ishii, MS Kim, TJ Seok, BJ Lee, …
    Year: 2020
    Citations: 177

  • An aquatic-vision-inspired camera based on a monocentric lens and a silicon nanorod photodiode array
    Authors: MS Kim†, GJ Lee†, C Choi†, MS Kim†, M Lee, S Liu, KW Cho, HM Kim, …
    Year: 2020
    Citations: 131

  • Bio‐inspired artificial vision and neuromorphic image processing devices
    Authors: MS Kim, MS Kim, GJ Lee, SH Sunwoo, S Chang, YM Song, DH Kim
    Year: 2022
    Citations: 104

  • Revisiting silk: a lens-free optical physical unclonable function
    Authors: MS Kim†, GJ Lee†, JW Leem, S Choi, YL Kim, YM Song
    Year: 2022
    Citations: 93

  • Outdoor‐Useable, Wireless/Battery‐Free Patch‐Type Tissue Oximeter with Radiative Cooling
    Authors: MH Kang†, GJ Lee†, JH Lee, MS Kim, Z Yan, JW Jeong, KI Jang, …
    Year: 2021
    Citations: 81

  • An amphibious artificial vision system with a panoramic visual field
    Authors: M Lee†, GJ Lee†, HJ Jang†, E Joh, H Cho, MS Kim, HM Kim, KM Kang, …
    Year: 2022
    Citations: 66

  • Efficient light absorption by GaN truncated nanocones for high-performance water splitting applications
    Authors: YJ Kim, GJ Lee, S Kim, JW Min, SY Jeong, YJ Yoo, S Lee, YM Song
    Year: 2018
    Citations: 64

Daniel Akerele | Engineering | Best Researcher Award

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Mr. Daniel Akerele | Engineering | Best Researcher Award

Research Assistant at University of Washington, United States

Daniel D. Akerele is a Ph.D. candidate in Construction Management at the University of Washington, specializing in rapid-set materials for concrete pavement repair, sustainability, and AI-driven material science. With an extensive academic background, including an MSc in Civil Engineering and a Graduate Certificate in Construction Project Management from Columbia University, he has demonstrated expertise in material optimization, performance evaluation, and infrastructure sustainability. His research contributions include several peer-reviewed publications and journal reviews. Beyond academia, he has significant industry experience as a Project Engineer at Turner Construction and a Research Assistant at the Center for Education and Research in Construction Lab. Daniel has also been recognized with multiple awards, including the College of Built Environment’s Top Scholar Award and PNWCMAA Student Scholarship. A dedicated educator, he mentors students and serves as a reviewer for esteemed journals. His leadership, technical acumen, and research impact make him a strong candidate for the Best Researcher Award.

Professional Profile 

Education

Daniel D. Akerele has a strong academic background in civil engineering and construction management. He is currently pursuing a Ph.D. in Construction Management at the University of Washington, focusing on rapid-set materials for concrete pavement repair, sustainability, and AI-driven material science. He earned his Master of Science in Civil Engineering from Columbia University, where he also obtained a Graduate Certificate in Construction Project Management, demonstrating his expertise in both technical and managerial aspects of the field. His academic journey is marked by excellence, with a strong emphasis on material optimization, performance evaluation, and infrastructure sustainability. Throughout his studies, Daniel has been actively involved in research, contributing to peer-reviewed publications and journal reviews. His dedication to education is further reflected in his mentorship of students and leadership roles in academic and professional organizations. His diverse and multidisciplinary educational background positions him as a leading researcher in construction materials and engineering.

Professional Experience

Daniel D. Akerele has extensive professional experience in civil engineering, construction management, and material science. He has worked on various high-profile infrastructure projects, specializing in concrete pavement repair, sustainable materials, and AI-driven construction techniques. As a researcher at the University of Washington, he has contributed significantly to developing rapid-set materials for concrete repairs, enhancing durability and efficiency in infrastructure maintenance. His previous roles include project management and engineering positions where he oversaw construction planning, quality control, and material performance assessments. Daniel has also collaborated with industry leaders and government agencies, applying his expertise to real-world construction challenges. In addition to his technical work, he is an active mentor and peer reviewer, supporting academic and professional development in his field. His combination of research excellence and hands-on industry experience makes him a respected expert in construction materials and infrastructure sustainability.

Research Interest

Daniel D. Akerele’s research interests lie at the intersection of civil engineering, material science, and advanced construction technologies. His work focuses on developing sustainable and high-performance construction materials, with a particular emphasis on rapid-setting concrete for infrastructure repairs. He is passionate about exploring innovative solutions to enhance the durability, resilience, and sustainability of construction materials, integrating nanotechnology, AI-driven material optimization, and green construction practices. His research also delves into pavement engineering, investigating ways to improve road durability through advanced material formulations and predictive modeling. Daniel is committed to bridging the gap between academic research and industry applications, working closely with government agencies and private sector stakeholders to implement his findings in real-world construction projects. Through his research, he aims to contribute to the development of smart, eco-friendly infrastructure solutions that align with global sustainability goals while improving efficiency and cost-effectiveness in the construction industry.

Award and Honor

Daniel D. Akerele has received numerous awards and honors in recognition of his outstanding contributions to civil engineering and materials science. His excellence in research and innovation has earned him prestigious academic and professional accolades, including best paper awards at international engineering conferences. He has been honored by professional organizations for his pioneering work in sustainable construction materials and pavement engineering. Daniel has also received research grants and fellowships from esteemed institutions, supporting his investigations into advanced construction technologies. His dedication to bridging academic research with industry applications has been acknowledged through awards for impactful contributions to infrastructure development. Additionally, he has been recognized as an emerging leader in engineering by various professional bodies, highlighting his commitment to advancing the field. Through these accolades, Daniel continues to inspire young researchers and professionals, reinforcing his reputation as a distinguished scholar and innovator in civil and structural engineering.

Research Skill

Daniel D. Akerele possesses exceptional research skills that have significantly contributed to advancements in civil engineering and materials science. His expertise spans experimental analysis, data interpretation, and computational modeling, enabling him to develop innovative solutions for sustainable infrastructure. He excels in laboratory testing of construction materials, utilizing advanced characterization techniques to assess performance and durability. Daniel is proficient in statistical analysis and simulation tools, allowing him to model complex engineering phenomena accurately. His ability to synthesize interdisciplinary knowledge enhances his research impact, bridging gaps between materials science, structural engineering, and environmental sustainability. He is skilled in grant writing and proposal development, securing funding for pioneering research projects. Additionally, his strong analytical thinking and problem-solving abilities make him adept at tackling engineering challenges with practical, evidence-based solutions. Through his rigorous research methodology, Daniel continues to push the boundaries of knowledge, contributing to the evolution of modern construction and engineering practices.

Conclusion

Daniel D. Akerele is a highly suitable candidate for the Best Researcher Award due to his strong research contributions, innovative applications in construction materials, leadership in academia and industry, and commitment to sustainability. Strengthening his publication record, interdisciplinary collaborations, and patent contributions would further solidify his reputation as a top-tier researcher in construction engineering and material science.

Publications Top Noted

  • Title: A study on pharmacovigilance of herbal medicines in Lagos West Senatorial District, Nigeria
    Authors: O. Awodele, A. Daniel, T.D. Popoola, E.F. Salami
    Year: 2013
    Citations: 31

  • Title: Analysis of maize value addition among entrepreneurs in Taraba State, Nigeria
    Authors: P.I. Ater, G.C. Aye, A. Daniel
    Year: 2018
    Citations: 17

  • Title: Evaluating the Impact of CO2 on Calcium SulphoAluminate (CSA) Concrete
    Authors: D.D. Akerele, F. Aguayo
    Year: 2024
    Citations: 4

  • Title: An Assessment of Saltwater Intrusion in Coastal Regions of Lagos, Nigeria
    Authors: O. Callistus, A.D. Daniel, A.O. Pelumi, O. Somtobe, O. Kunle, O.S. Echezona, et al.
    Year: 2024
    Citations: 4

  • Title: Assessment of Physicochemical and Bacteriological Parameters of Borehole Water: A Case Study from Lekki, Lagos, Nigeria
    Authors: D.D. Akerele, C. Obunadike, P.O. Abiodun
    Year: 2023
    Citations: 3

  • Title: Portland Limestone Cement in Concrete Pavement and Bridge Decks: Performance Evaluation and Future Directions
    Authors: D.D. Akerele, F. Aguayo, L. Wu
    Year: 2025
    Citations: Not available

  • Title: Effect of Geotextile on Lime Stabilized Lateritic Soils under Unsoaked Condition
    Authors: D.D. Akerele, P. Aduwenye
    Year: 2023
    Citations: Not available

  • Title: Solving Lime Stabilization Issues Using Woven Geotextile in Soaked Conditions
    Authors: D.D. Akerele
    Year: 2023
    Citations: Not available

Najeeb ur rehman Malik | Engineering | Best Researcher Award

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Dr. Najeeb ur rehman Malik | Engineering | Best Researcher Award

Assistant Professor at DHA Suffa University, Pakistan

Dr. Najeeb Ur Rehman Malik is a dedicated researcher and electronics engineer specializing in computer vision, deep learning, and image processing. He holds a Ph.D. from Universiti Teknologi Malaysia (UTM), where his research focused on multi-view human action recognition using convolutional neural networks (CNNs) and pose features. His expertise spans artificial intelligence, embedded systems, and digital signal processing. With multiple peer-reviewed publications, including work on COVID-19 detection using X-ray images and AI-driven healthcare solutions, he has significantly contributed to applied AI research. He has industry experience as an Assistant Manager at PTCL and has led technical events at the university and national levels. His proficiency in MATLAB, Python, and embedded systems complements his research acumen. While he has made impactful contributions, further global collaborations, research funding, and high-impact citations would enhance his academic influence. Dr. Malik continues to innovate in AI and computer vision, driving advancements in intelligent systems.

Professional Profile 

Education

Dr. Najeeb Ur Rehman Malik has a strong academic background in electronics engineering and communication systems. He is currently pursuing a Ph.D. at Universiti Teknologi Malaysia (UTM), where his research focuses on multi-view human action recognition using deep learning and convolutional neural networks (CNNs). He earned his Master of Engineering (M.E.) in Communication Systems and Networks from Mehran University of Engineering and Technology (MUET), Jamshoro, Pakistan, graduating with a CGPA of 3.40. His master’s research explored speeded-up robust features (SURF) for image retrieval systems. Prior to that, he completed his Bachelor of Engineering (B.E.) in Electronics Engineering from MUET with a CGPA of 3.45, gaining expertise in power electronics, automation, digital signal processing, and embedded systems. His academic journey reflects a strong foundation in artificial intelligence, image processing, and computer vision, positioning him as a key contributor to advancements in intelligent systems and AI-driven technologies.

Professional Experience

Dr. Najeeb Ur Rehman Malik has diverse professional experience in both academia and industry, specializing in electronics engineering, communication systems, and artificial intelligence. He served as an Assistant Manager at PTCL in Hyderabad, Sindh, Pakistan, from February 2017 to June 2018, where he gained hands-on experience in telecommunications, networking, and system management. Prior to that, he completed an internship at the National Telecommunication Corporation (NTC) in Karachi during June-July 2010, where he worked on networking infrastructure and telecommunication protocols. In addition to his industry experience, he has been actively engaged in research at Universiti Teknologi Malaysia (UTM), focusing on deep learning applications for multi-view human action recognition. His technical expertise spans MATLAB, Python, embedded systems, and digital signal processing, making him a well-rounded professional. With a strong blend of research and industry exposure, Dr. Malik continues to contribute to advancements in AI, image processing, and communication technologies.

Research Interest

Dr. Najeeb Ur Rehman Malik’s research interests lie at the intersection of computer vision, deep learning, image processing, and artificial intelligence. His primary focus is on multi-view human action recognition, where he integrates convolutional neural networks (CNNs) and pose estimation techniques to enhance accuracy in real-world scenarios. He has also explored content-based image retrieval, developing robust techniques using Speeded-Up Robust Features (SURF) and Scale-Invariant Feature Transform (SIFT). His work extends to healthcare applications, including AI-driven COVID-19 detection from chest X-ray images and the role of wearable technology in pandemic management. Additionally, he is interested in embedded systems, automation, and signal processing, particularly in developing intelligent and efficient computing solutions. His expertise in MATLAB, Python, and FPGA-based system design enables him to innovate in these areas. Dr. Malik aims to contribute to the advancement of AI-driven technologies for healthcare, surveillance, and human-computer interaction.

Award and Honor

Dr. Najeeb Ur Rehman Malik has been recognized for his contributions to computer vision, deep learning, and artificial intelligence through various academic and professional honors. His research in multi-view human action recognition and AI-driven healthcare solutions has been published in reputed journals, highlighting his impact in the field. During his academic career, he actively participated in technical events, conferences, and research forums, further solidifying his reputation as a dedicated scholar. He has also played a key role in organizing and volunteering at national and university-level exhibitions and competitions, showcasing his leadership and commitment to knowledge dissemination. His work on COVID-19 detection using AI and image processing techniques has received significant attention, demonstrating real-world applications of his research. While he has made commendable contributions, further recognition in the form of best paper awards, patents, and international research grants would enhance his standing in the global research community.

Research Skill

Dr. Najeeb Ur Rehman Malik possesses advanced research skills in computer vision, deep learning, and image processing, making significant contributions to AI-driven solutions. He is proficient in MATLAB and Python, leveraging machine learning frameworks like TensorFlow and PyTorch to develop multi-view human action recognition systems using convolutional neural networks (CNNs) and pose estimation techniques. His expertise extends to content-based image retrieval, feature extraction (SURF & SIFT), and embedded system design, enabling efficient AI model deployment. He is skilled in handling large datasets, performing statistical analysis, and optimizing deep learning architectures for real-world applications, including COVID-19 detection from chest X-ray images. Additionally, he has experience in academic writing, research methodology, and experimental design, ensuring high-quality publications. His ability to analyze complex problems, design innovative solutions, and collaborate on interdisciplinary research projects positions him as a strong contributor to advancements in AI, healthcare, and intelligent automation.

Conclusion

Najeeb Ur Rehman Malik is a strong candidate for the Best Researcher Award due to his technical expertise, interdisciplinary research contributions, and published works in computer vision and AI. However, improving citation metrics, securing research funding, and enhancing global collaboration would further strengthen his profile. If he has additional awards, patents, or high-impact projects, those should be highlighted in the application to maximize competitiveness.

Publications Top Noted

  • Cascading pose features with CNN-LSTM for multiview human action recognition

    • Authors: NR Malik, SAR Abu-Bakar, UU Sheikh, A Channa, N Popescu
    • Year: 2023
    • Citations: 23

  • Robust Technique to Detect COVID-19 using Chest X-ray Images

    • Authors: A Channa, N Popescu, NUR Malik
    • Year: 2020
    • Citations: 23

  • Multi-view human action recognition using skeleton based-FineKNN with extraneous frame scrapping technique

    • Authors: NUR Malik, UU Sheikh, SAR Abu-Bakar, A Channa
    • Year: 2023
    • Citations: 18

  • Managing COVID-19 Global Pandemic With High-Tech Consumer Wearables: A Comprehensive Review

    • Authors: A Channa, N Popescu, NUR Malik
    • Year: 2020
    • Citations: 17

  • Salp swarm algorithm–based optimal vector control scheme for dynamic response enhancement of brushless double‐fed induction generator in a wind energy conversion system

    • Authors: A Memon, MWB Mustafa, TA Jumani, M Olatunji Obalowu, NR Malik
    • Year: 2021
    • Citations: 10

  • Performance comparison between SURF and SIFT for content-based image retrieval

    • Authors: NUR Malik, AG Airij, SA Memon, YN Panhwar, SAR Abu-Bakar
    • Year: 2019
    • Citations: 8

  • Multiview human action recognition system based on OpenPose and KNN classifier

    • Authors: NUR Malik, SAR Abu Bakar, UU Sheikh
    • Year: 2022
    • Citations: 5

  • Association of stride rate variability and altered fractal dynamics with ageing and neurological functioning

    • Authors: A Channa, N Popescu
    • Year: 2021
    • Citations: 3

  • Localized Background Subtraction Feature-Based Approach for Vehicle Counting

    • Authors: MA El-Khoreby, SAR Abu-Bakar, MM Mokji, SN Omar, NUR Malik
    • Year: 2019
    • Citations: 3

Diptarup Mallick | Zoology | Best Scholar Award

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🌟Mr. Diptarup Mallick, Zoology, Best Scholar Award🏆

Diptarup Mallick at Barasat Government College, India

Diptarup Mallick is a dedicated scholar with a strong academic background in Zoology. His journey in academia began with a Bachelor’s degree from Rishi Bankim Chandra College, where he excelled and secured the first position in his institution. He furthered his studies with a Master’s degree from Barasat Government College, solidifying his expertise in the field. Diptarup’s research interests primarily revolve around Parasitology and Immunology, areas in which he has made significant contributions through publications and active participation in academic events. His commitment to academic excellence is evident through his memberships in prestigious academic societies and his recognition as a reviewer for a renowned journal. Diptarup’s professional journey reflects a trajectory marked by continuous learning, scholarly engagement, and a passion for advancing scientific knowledge.

Author Metrics

ORCID Profile

As a scholar, Diptarup Mallick’s contributions are reflected in various author metrics, indicating the impact and reach of his research outputs. Metrics such as citation counts, h-index, and publication metrics provide quantitative measures of the influence and visibility of his scholarly work within the academic community. These metrics serve as indicators of Diptarup’s research productivity, influence, and contribution to his field, facilitating assessment and comparison of his academic impact relative to peers and collaborators.

Education

Diptarup Mallick’s academic journey is characterized by a steadfast pursuit of knowledge and excellence in the field of Zoology. He completed his Bachelor’s and Master’s degrees with distinction from reputable institutions affiliated with West Bengal State University. His educational qualifications, coupled with his specialization in Parasitology and Immunology, provide a strong foundation for his research endeavors and professional pursuits in the field of life sciences.

Research Focus

Diptarup Mallick’s research focus centers on the intricate interplay between Parasitology and Immunology, exploring topics such as sex differential immunity and its implications for health. His scholarly inquiries delve into the mechanisms underlying host-parasite interactions, immune responses to parasitic infections, and the development of novel therapeutic strategies for combating infectious diseases. Through his research, Diptarup aims to advance our understanding of immune system dynamics and contribute to the broader scientific efforts aimed at addressing global health challenges.

Professional Journey

Diptarup Mallick’s professional journey is characterized by a commitment to academic excellence, scholarly engagement, and continuous learning. Starting from his academic pursuits as a Bachelor’s and Master’s student, he has actively participated in workshops, seminars, and laboratory visits to augment his knowledge and skills in Zoology, particularly focusing on areas like molecular genetics, biophysical techniques, and immunological tools. His journey as a scholar is marked by a dedication to advancing scientific knowledge, contributing to academic discourse, and fostering collaborations within the research community.

Honors & Awards

Diptarup Mallick has received recognition for his scholarly contributions through various honors and awards. His selection as a reviewer for the American Journal of Immunology underscores his expertise in the field of Immunology and his potential to contribute to the peer-review process. These honors reflect Diptarup’s standing as a respected scholar within the academic community and serve as testament to his dedication to advancing scientific knowledge and scholarship.

Publications Noted & Contributions

Diptarup Mallick has made notable contributions to the academic literature through his publications. His review work titled “Analysis of Sex Differential Immunity and its Impacts on Health: A Comprehensive Review” published in the International Journal of Scientific Research in Biological Sciences highlights his expertise in Immunology and his ability to critically analyze complex scientific topics. Diptarup’s publications contribute to the advancement of knowledge in his field, providing valuable insights for researchers and practitioners alike.

Analysis of Sex-differential Immunity and its Impacts on Health: A Comprehensive Review

  • Journal: International Journal of Scientific Research in Biological Sciences
  • Date: 2024-04-30
  • Type: Journal article
  • Roles: Writing – original draft, Writing – review & editing
  • Part of ISSN: 2347-7520
  • Contributors: Diptarup Mallick

This comprehensive review explores the topic of sex-differential immunity and its impacts on health. Led by Diptarup Mallick, the article delves into the differences in immune responses between males and females and discusses how these differences influence overall health outcomes. It provides valuable insights into the field of immunology and contributes to our understanding of gender-specific health considerations.

Research Timeline

Diptarup Mallick’s research timeline illustrates the progression of his scholarly pursuits over time. From his initial exploration of Zoology as a Bachelor’s student to his more focused investigations during his Master’s studies, Diptarup’s research trajectory has evolved and expanded. His timeline may include key milestones such as publications, conference presentations, collaborations, and significant research findings, providing a comprehensive overview of his academic journey and contributions to his field.

Collaborations and Projects

Diptarup Mallick actively engages in collaborations and projects to broaden the scope and impact of his research endeavors. Collaborations may involve partnerships with fellow researchers, academic institutions, or industry stakeholders, aimed at addressing complex scientific challenges and advancing knowledge in his field. Through collaborative projects, Diptarup leverages collective expertise and resources to pursue innovative research initiatives, fostering interdisciplinary exchange and enhancing the relevance and applicability of his research outcomes.

Margherita Bernabei | Industrial Engineering | Innovator in Industrial Progress Award

Posted on by ScienceFather

🌟Mrs. Margherita Bernabei, Industrial Engineering, Innovator in Industrial Progress Award🏆

Margherita Bernabei, La Sapienza, Italy

Margherita Bernabei is a dedicated researcher and industrial engineer based in Rome, Italy. She holds a Ph.D. in Industrial and Management Engineering from the University of Rome “La Sapienza” with a focus on Digital Twin implementation in smart manufacturing environments. Margherita’s expertise lies in the intersection of Industry 4.0, Resilience Engineering, and Artificial Intelligence.

Author Metrics:

Margherita’s scholarly impact is evident through her author metrics, showcasing a comprehensive range of publications across leading journals and conferences. Her work demonstrates a keen interest in emerging technologies, manufacturing systems, and safety engineering.

Margherita Bernabei is affiliated with Sapienza Università di Roma in Rome, Italy. Her Scopus Profile. She holds an ORCID profile.

As of the latest available data, Margherita has an impressive academic impact with 38 citations from 33 documents. Her research contributions have resulted in 13 documents indexed on Scopus. The h-index, a measure of both productivity and citation impact, stands at 3.

Education:

Margherita earned her Master’s Degree in Management Engineering with a specialization in Logistics and Production Services, graduating with honors (110 cum laude/110) from the University of Rome “La Sapienza.” She previously completed her Bachelor’s Degree in Management Engineering with distinction.

Research Focus:

Her research endeavors revolve around the impact of digital transformation on organizational processes, particularly in manufacturing contexts. Margherita’s work delves into Adaptive Automation, Digital Supply Chain, and the application of Cyber-Physical Systems in the aerospace industry. She is passionate about leveraging technology, such as Virtual Reality and Machine Learning, to enhance safety, training, and organizational resilience.

Professional Journey:

Margherita has a diverse professional journey, including a fellowship in Digital Twin implementation, an internship at AGIC Innovation focusing on Machine Learning and Cognitive Tools, and active participation in various industry projects. Notably, she has contributed to initiatives like the “ESA Smart Manufacturing For Future Constellations” and “Digitalization of Linköping Production Line” at RUAG Space.

Honors & Awards:

Recognized for her outstanding leadership, Margherita received the “Outstanding Student Leadership Award” at the European Conference on Industrial Engineering & Operations Management in 2021 and 2022. Her commitment to research and innovation has been acknowledged by both academic and industry communities.

Publications Top Noted & Contributions:

Margherita’s prolific contributions span various journals and conferences. Notable publications include works on Industry 4.0 approaches to satellite production, warehouse resilience, and the application of Natural Language Processing in manufacturing. She actively engages in conferences worldwide, presenting on topics such as smart transformation, safety management, and the convergence of AI and Cyber Physical Systems.

Adaptive Automation: Status of Research and Future Challenges

  • Journal: Robotics and Computer-Integrated Manufacturing
  • Year: 2024-08
  • DOI: 10.1016/j.rcim.2024.102724
  • Contributors: Margherita Bernabei; Francesco Costantino

Students’ Use of Large Language Models in Engineering Education: A Case Study on Technology Acceptance, Perceptions, Efficacy, and Detection Chances

  • Journal: Computers and Education: Artificial Intelligence
  • Year: 2023
  • DOI: 10.1016/j.caeai.2023.100172
  • Contributors: Margherita Bernabei; Silvia Colabianchi; Andrea Falegnami; Francesco Costantino

Resilience Potentials for Health and Safety Management in Cobot Applications Using the Resilience Analysis Grid

  • Journal: Journal of Manufacturing Science and Engineering
  • Date: 2023-10-01
  • DOI: 10.1115/1.4062786
  • Contributors: Arie Adriaensen; Margherita Bernabei; Francesco Costantino; Andrea Falegnami; Sara Stabile; Riccardo Patriarca

Assessment of Smart Transformation in the Manufacturing Process of Aerospace Components Through a Data-Driven Approach

  • Journal: Global Journal of Flexible Systems Management
  • Year: 2023-03
  • DOI: 10.1007/s40171-022-00328-7
  • Contributors: Margherita Bernabei; Marco Eugeni; Paolo Gaudenzi; Francesco Costantino

Chatbot for Training and Assisting Operators in Inspecting Containers in Seaports

  • Conference: Transportation Research Procedia
  • Year: 2022
  • DOI: 10.1016/j.trpro.2022.09.002
  • Contributors: Silvia Colabianchi; Margherita Bernabei; Francesco Costantino

Research Timeline:

Margherita’s research timeline reflects a continuous commitment to academic and industrial projects. From her initiation projects in 2022 to ongoing contributions in 2024, she maintains a dynamic engagement with diverse research topics, emphasizing the evolution of Industry 4.0 and organizational resilience.