Muhammad Tahir Aleem | Medicine and Health Sciences | Best Researcher Award

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Mr. Muhammad Tahir Aleem | Medicine and Health Sciences | Best Researcher Award

Researcher | Shantou University Medical College | China

Mr. Muhammad Tahir Aleem is an accomplished veterinary scientist and postdoctoral researcher recognized for his significant contributions to Preventive Veterinary Medicine, Molecular Parasitology, and Infectious Disease Research. He has developed a strong interdisciplinary foundation that bridges veterinary and biomedical sciences through his extensive global academic and research journey. Mr. Muhammad Tahir Aleem earned his Doctor of Veterinary Medicine (DVM) and M.Phil. in Parasitology from the University of Agriculture, Faisalabad, Pakistan, followed by a Ph.D. in Preventive Veterinary Medicine from Nanjing Agricultural University, China, where his research focused on molecular and immunological aspects of parasitic infections. He further enhanced his expertise through postdoctoral research in Molecular Parasitology and Chromosome Biology at Cleveland State University, USA, and Basic Medicine at Shantou University Medical College, China. His educational background reflects a continuous pursuit of scientific excellence and innovation in veterinary and biomedical disciplines. Professionally, Mr. Muhammad Tahir Aleem is affiliated with the MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, where he actively contributes to research and mentorship in the fields of parasitology, immunology, and infectious diseases. Throughout his academic journey, he has collaborated with international research teams from the United States, China, and Pakistan, focusing on drug development, molecular diagnostics, immunological responses, vaccine development, and zoonotic disease prevention. His research endeavors aim to bridge the gap between human and animal health through innovative molecular and immunological techniques. Mr. Muhammad Tahir Aleem has authored 71 documents, received 519 citations, and holds an h-index of 11, demonstrating his impactful contribution to global scientific literature. His publications in high-impact journals such as Vaccines, Frontiers in Immunology, International Immunopharmacology, and Biomedical Research International reflect his dedication to advancing molecular parasitology and preventive medicine.

Profile:  Google scholar | Scopus

Featured Publications

  1. Aleem, M. T., Jiawen, S., Qing Yu, Z., Wen, Z., Yang, Z., & Yan, R. (2021). Characterization of membrane-associated progesterone receptor component-2 (MAPRC2) from Trichinella spiralis and its interaction with progesterone and mifepristone. Vaccines, 9, 934. (Citations: 42)

  2. Aleem, M. T., Khan, A., Wen, Z., Yu, Z., Kun, L., & Cheng, C. (2022). Molecular docking and in silico simulation of Ts-MAPRC2 and its interaction with human-progesterone membrane component-1 (H-PGRMC1). Biomedical Research International. (Citations: 33)

  3. Aleem, M. T., Munir, F., Shakoor, A., & Gao, F. (2024). mRNA vaccines against infectious diseases and future direction. International Immunopharmacology, 135, 112320. (Citations: 27)

  4. Aleem, M. T., Mohsin, M., Shahid, Z., & Ijaz, A. (2023). A review on recent advancement in the molecular diagnostics of Leishmania. Journal of Hellenic Veterinary Medical Society, 74, 5551–5568. (Citations: 12)

  5. Shaukat, A., Aleem, M. T., Munir, F., & Gao, F. (2025). An overview of the role of steroid hormones in various parasitic infections. Journal of Reproductive Immunology, 169, 104533. (Citations: 8)

 

Shahar Lev-Ari | Medicine and Health Sciences | Best Researcher Award

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Dr. Shahar Lev-Ari | Medicine and Health Sciences | Best Researcher Award

Visiting Faculty | Stanford University | United States

Dr. Shahar Lev-Ari is an accomplished academic with a strong educational foundation in cellular biology and medicine who has over many years built a distinguished career in health promotion, public health research, integrative medicine, and well-being interventions; Dr. Shahar Lev-Ari was trained in cellular biology and obtained his PhD after rigorous work in integrative medicine and intervention science, and his education included advanced training in health promotion science and mindfulness-based behavior change. In his professional experience, Dr. Shahar Lev-Ari has served as founding director of the Integrative Medicine Center & Laboratory of Medicinal Herbs and Cancer Research at the Institute of Oncology, led the Health Promotion Unit within the Integrated Cancer Prevention Center at Tel Aviv Medical Center, and formerly chaired the Department of Health Promotion, School of Public Health at Tel Aviv University; he is also a visiting scholar in Stanford University’s Department of Genetics and collaborates internationally in precision health and psychosocial interventions. Research interests of Dr. Shahar Lev-Ari focus on mindfulness and stress-reduction techniques, inquiry-based stress reduction (IBSR), salutogenesis, resilience, psychosocial health, mental well-being, interventions in at-risk populations (e.g. women with BRCA variants), longevity and protective behavioral and psychosocial factors, mind-body medicine, and digital health tools for well-being. He has developed skills in both quantitative and intervention research; expertise in randomized clinical trials, longitudinal cohort studies, psychosocial measurement, sleep assessments, behavior change, developing and evaluating interventions, public health promotion, multi-disciplinary collaborators, mixed-methods, psychosocial biometrics, and implementing rigorous designs. Dr. Shahar Lev-Ari has been recognized with awards and honours such as the Outstanding Scientist Award from the Israel Society for Complementary Medicine under the auspices of the Israeli Medical Association, and has received support from organizations such as the Rothschild Foundation, the Israeli Cancer Association, and chief scientists in education and medicine; he has also been invited to serve on editorial boards (e.g., Section Editor for Public Health in Journal of Clinical Medicine), and in national and global working groups on mental health promotion. In his published record, Dr. Shahar Lev-Ari has authored 81 documents, has accumulated 2,106 citations, and has h-index 22, demonstrating both breadth and impact. Overall, Dr. Shahar Lev-Ari embodies a scholar-practitioner who bridges fundamental biology, public health, psychosocial interventions and community health implementation, with leadership roles in research, mentorship, and translation of findings into interventions that improve psychological well-being and health outcomes in both general and vulnerable populations.

Profile:  Scopus | ORCID

Featured Publications

  1. Effect of Inquiry-Based Stress Reduction on Well-being and Views on Risk-Reducing Surgery Among Women With BRCA Variants in Israel: A Randomized Clinical Trial — 2021; ~3 citations

  2. The Association Between the Sense of Coherence and the Self-Reported Adherence to Guidelines During the First Months of the COVID-19 Pandemic in Israel — 2022; number of citations

  3. The Use of Smart Devices for Mental Health Diagnosis and Care — 2022; number of citations

  4. A Novel Platform for Attenuating Immune Hyperactivity Using EXO-CD24 in COVID-19 and Beyond — 2022; number of citations

  5. Data From a One-Stop-Shop Comprehensive Cancer Screening Center — 2023; number of citations

  6. Mental Health for All: The Case for Investing in Digital Mental Health to Improve Global Outcomes, Access, and Innovation in Low-Resource Settings — 2023; number of citations

 

Wangdo Kim | Medicine and Health Sciences | Best Researcher Award

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Wangdo Kim | Medicine and Health Sciences | Best Researcher Award

Prof Wangdo Kim, Universidad de Ingenieria y Tecnologia – UTEC, Peru

Wangdo Kim is a distinguished professor and researcher specializing in biomechanics, mechanical engineering, and sports science. With decades of academic and industry experience, he has significantly contributed to knee joint mechanics, foot biomechanics, and sports injury prevention. Holding a Ph.D. in Mechanical Engineering from Lehigh University, he has held various prestigious positions, including roles at Samsung Aerospace and as an editorial board member of esteemed journals. His research integrates engineering principles with human movement analysis, leading to groundbreaking studies in knee function, CAD/CAM, and robotics. He has received numerous accolades, such as the Outstanding Reviewer Award from The Knee (Elsevier) and recognition at the ASME Grand Challenge Competition. His extensive publication record includes innovative work on computational biomechanics and sports performance optimization. With expertise spanning academia and industry, Wangdo Kim continues to shape the fields of biomechanics and mechanical engineering through impactful research and mentorship. 🎓🔬🏆

Publication Profile

Google Scholar

Education

  • Ph.D. in Mechanical Engineering – Lehigh University, Bethlehem, PA, USA (Oct. 1986) 📜🔬
  • M.S. in Mechanical Engineering – Lehigh University, Bethlehem, PA, USA (Jan. 1979) 🏗️⚙️
  • B.S. in Mechanical Engineering – Seoul National University, Seoul, Korea (Jan. 1979) 🎓🏛️
  • Postdoctoral Research in Biomedical Engineering – Lehigh University, Bethlehem, PA, USA (June 1991) 🏥🧑‍🔬

Wangdo Kim’s educational journey laid the foundation for his expertise in mechanical engineering, biomechanics, and biomedical applications. His Ph.D. research focused on integrating engineering principles into human movement studies, contributing to innovative biomechanical modeling. During his postdoctoral tenure, he specialized in biomedical engineering, bridging mechanical design with medical applications. His academic training at prestigious institutions provided him with interdisciplinary skills in robotics, CAD/CAM systems, and computational modeling. This strong educational background has driven his influential research on knee joint mechanics, sports injuries, and movement analysis, making significant contributions to both academia and industry. 📘🎖️🔍

Experience

  • Managing Communicator – Samsung Camera Division & PDD (Penkhurst Design & Development) (Sep 1997 – Dec 1998) 📷💡
  • CAD/CAM Manager – Samsung Aerospace (Sep 1996 – Mar 1997) ✈️⚙️
  • Project Manager, E-CIM (Engineering CIM) Programs – Samsung Aerospace (Aug 1995 – Aug 1996) 🏭📊

With a diverse career spanning academia and industry, Wangdo Kim has held key leadership roles in mechanical engineering and biomechanics. As a Managing Communicator at Samsung Camera Division, he contributed to design communication and technological advancements. His tenure as CAD/CAM Manager at Samsung Aerospace involved optimizing manufacturing processes through computer-aided engineering. As a Project Manager for E-CIM programs, he led initiatives that enhanced engineering automation and innovation. His industry expertise, combined with academic research, has fostered advancements in biomechanical modeling, robotics, and sports science, shaping both theoretical and practical applications of mechanical engineering. 🌍🔬🚀

Awards and Honors

  • Outstanding Reviewer Status – The Knee (Elsevier) (2015) 🏅📖
  • Grand Challenge Competition – ASME Summer Bioengineering Conference (2010) 🏆🔬
  • Top 20 Articles – BioMedLib (2012) 📜📊
  • Editorial Board Member – Advances in Biomechanics and Applications (ABA) (2013) 🏛️📖

Wangdo Kim’s contributions to biomechanics and mechanical engineering have been recognized through multiple prestigious awards. As an Outstanding Reviewer for The Knee, he played a crucial role in advancing research on knee mechanics. His recognition at the ASME Grand Challenge Competition highlights his innovative approaches to biomechanical analysis. Being ranked in BioMedLib’s Top 20 Articles signifies his impactful publications in sports science and engineering. Additionally, his role as an Editorial Board Member for Advances in Biomechanics and Applications showcases his leadership in shaping the field’s academic discourse. These accolades reflect his commitment to advancing biomechanics, mechanical design, and human movement studies. 🏅📚📊

Research Focus

  • Biomechanics – Foot mechanics, knee joint mechanics, sports injuries 🦵🏃‍♂️
  • Mechanical Engineering – Mechanical design, CAD/CAM, robotics ⚙️🤖
  • Sports Science – Sports injuries, sports equipment design, human movement analysis 🏋️🎾

Wangdo Kim’s research integrates engineering principles with human biomechanics to advance sports science and rehabilitation. His work in foot and knee joint mechanics explores movement optimization and injury prevention. Through mechanical design and CAD/CAM applications, he has developed innovative approaches to robotics and medical devices. In sports science, his studies focus on equipment design and motion analysis, enhancing athletic performance and recovery. His computational models and real-world applications bridge the gap between theoretical research and practical implementation, making significant contributions to biomechanics, rehabilitation engineering, and sports medicine. 🔬📊⚽

Publication Top Notes

  • “Tibial femoral tunnel for isokinetic graft placement” 🏥 (2017)
  • “The Duality of Knee Functional Axes and Foot Contact” 🤝 (2016)
  • “Observations on the Knee Functional Axis During Active Movements” 📊 (2016)
  • “Novel Computational Approaches Characterizing Knee Physiotherapy” 🤖 (2014)
  • “An Informational Algorithm as the Basis for Perception-Action Control of the Instantaneous Axes of the Knee” 📊 (2013)
  • “Tracking Knee Joint Functional Axes through Tikhonov Filtering and Plűcker Coordinates” 📊 (2013)
  • “The Natural Shock Absorption of the Leg Spring” 🏋️‍♂️ (2013)
  • “Haptic Perception-Action Coupling Manifold of Effective Golf Swing” 🏌️ (2013)
  • “Efferent Copy and Corollary Discharge Motor Control Behavior Associated with a Hopping Activity” 🏋️‍♂️ (2013)
  • “The Natural Frequency of the Foot-Surface Cushion During the Stance Phase of Running” 🏃‍♂️ (2011)

 

Mustansar Fiaz | Medical Image Segmentation | Best Researcher Award

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Mustansar Fiaz | Medical Image Segmentation | Best Researcher Award

Dr Mustansar Fiaz, IBM Research,a United Arab Emirates

Passionate about computer vision and deep learning, Mustansar Fiaz specializes in remote sensing, person search, medical image segmentation, visual object tracking, and multi-modal analysis. With a Ph.D. from Kyungpook National University, he has over three years of post-PhD experience. Mustansar currently leads innovative research at IBM Research in Abu Dhabi, developing advanced models for remote sensing applications. His prior roles include research associate at MBZUAI and senior AI software engineer at Tricubics, Seoul. His notable projects and numerous awards reflect his contributions to the field. 🌍🖥️🔬🛰️

Publication profile

google scholar

Education

Dr. Mustansar Fiaz, completed a Ph.D. in Computer Science and Engineering from Kyungpook National University, Daegu, S. Korea (Mar. 2016 – Feb. 2021) with a GPA of 4.18/4.5. Their thesis focused on “Robust Object Tracking and Segmentation Using Siamese Networks.” They earned a Master’s in Engineering from Sejong University, Seoul, S. Korea (Mar. 2014 – Feb. 2016) with a GPA of 4.39/4.5, researching the “Space Knowledge Information Process (SKIP) Tool for Multi-Dimensional Data Analysis.” They hold a BS in Computer and Information Sciences from PIEAS, Islamabad, Pakistan (Mar. 2007 – Aug. 2011) with a GPA of 3.01/4.0, where they worked on “Medical Image Segmentation using Statistical and Transform Methods.” 🎓💻📊🖼️

Experience

Currently a Staff Research Scientist at IBM Research in Abu Dhabi, UAE (Oct. 2023 – Present), where I specialize in remote sensing applications and develop Visual-Language foundation models for remote sensing. Previously, He was a Research Associate at the Intelligent Visual Analytics Lab (IVAL) at MBZUAI (Aug. 2021 – Oct. 2023), focusing on computer vision tasks, writing research proposals, supervising CV701 labs, and co-supervising MS and Ph.D. students. I also served as a Senior AI Software Engineer at Tricubics, Seoul (Mar. 2021 – Jul. 2021), leading AI and computer vision R&D for AI-based unmanned stores, and as a part-time CTO at Ujura (CATMOS), Seoul (Mar. 2021 -May. 2021), developing AI health information systems for pets, especially cats. 🛰️📊🐱

Noteable Projects

Mustansar Fiaz, a researcher and developer at MBZUAI in Abu Dhabi since August 2021, specializes in remote sensing, medical image segmentation, and person search. His work in remote sensing involves developing AI-based algorithms to detect semantic changes in man-made facilities while ignoring noisy changes. In medical image segmentation, he creates CNN and transformer-based models for 2D and 3D segmentation tasks, including cell, multi-organ, polyp, and cardiac MRI scans. For person search, he develops methods to detect and localize individuals in images from multiple cameras. Previously, he worked at KNU in Daegu, South Korea, focusing on video object tracking and segmentation using deep learning techniques. 📊📸🏥🛰️

Awards

Recipient of the Best Presentation Award and Best Paper Award at IW-FCV 2022 🏆, with additional accolades including the Best Student Paper Award at IW-FCV 2020 and the Outstanding Research CSE Thesis Award in 2021 🎓. Honored with the ACM SIGAPP Student Travel Award for ACM SAC 2019 ✈️. Served as Joint Secretary and Secretary Information for PSAK between 2017-2019 📜. Awarded the KNU International Graduate Scholarship (KINGS) for PhD studies (2016-2021) 🎓, Sejong University’s fully funded MS scholarship (2014-2016) 📚, and PIEAS Fellowship for BS studies (2007-2011) 🏅.

Research focus

Based on the publications provided, the research focus of this person centers on visual object tracking and remote sensing. They are involved in developing advanced methods for tracking objects in noisy and cluttered environments, including techniques like channel-spatial attention learning and deep Siamese networks. Their work also explores Medical image segmentation and gender identification using signal processing techniques. Recent studies highlight the use of transformers and Siamese networks for robust tracking and change detection in remote sensing. The emphasis is on improving tracking accuracy and robustness through novel algorithms and model architectures. 🌟📊🔍📷

Publication top notes

Handcrafted and deep trackers: Recent visual object tracking approaches and trends

Tracking noisy targets: A review of recent object tracking approaches

Gender identification using mfcc for telephone applications-a comparative study

Efficient visual tracking with stacked channel-spatial attention learning

Medical image segmentation using h-minima transform and region merging technique

Remote sensing change detection with transformers trained from scratch

Learning soft mask based feature fusion with channel and spatial attention for robust visual object tracking

Deep siamese networks toward robust visual tracking

Sat: Scale-augmented transformer for person search

Improving object tracking by added noise and channel attention