Guanbo Wang | Medicine and Dentistry | Best Researcher Award

Dr. Guanbo Wang | Medicine and Dentistry | Best Researcher Award

Assistant Professor from The Dartmouth Institute for Health Policy and Clinical Practice, Dartmouth College, United States

Dr. Guanbo Wang is a distinguished postdoctoral research fellow at the CAUSALab, Harvard T.H. Chan School of Public Health. With a robust background in biostatistics and epidemiology, his work primarily focuses on developing innovative statistical methodologies to enhance causal inference in public health research. Dr. Wang’s expertise lies in integrating complex data sources to derive meaningful insights into treatment effects, particularly in the context of randomized clinical trials and observational studies. His interdisciplinary approach combines rigorous statistical theory with practical applications, aiming to inform clinical decision-making and health policy. Throughout his academic and professional journey, Dr. Wang has demonstrated a commitment to advancing public health through methodological innovation and collaborative research.

Professional Profile

Education

Dr. Wang’s academic journey commenced with a Bachelor of Science degree from China Textile University in Shanghai, China, in 1999. He pursued further studies at Shanghai Jiao Tong University, earning a Master of Science in 2002 and a Ph.D. in 2005. His doctoral research laid the foundation for his future endeavors in biostatistics and epidemiology. In 2019, Dr. Wang expanded his academic horizons as a visiting scholar at Harvard University, engaging with leading experts in the field. He culminated his formal education with a Ph.D. in Biostatistics from McGill University in 2022, where he honed his skills in statistical modeling and causal inference. Dr. Wang’s comprehensive educational background equips him with the theoretical knowledge and practical expertise necessary for his contributions to public health research.

Professional Experience

Dr. Wang’s professional experience encompasses a blend of academic research and industry collaboration. From 2015 to 2022, he served as a research assistant at McGill University and the McGill University Health Centre Research Institute, contributing to various projects in biostatistics and epidemiology. His industry experience includes internships and consultancy roles at prominent organizations such as Biogen, Roche, Baker & McKenzie, FINEOS Co., Ltd., KPMG China, and AXA Insurance Group. These roles provided Dr. Wang with practical insights into the application of statistical methods in diverse settings, including pharmaceuticals, legal consulting, and insurance. In 2023, he collaborated with the Center for Biostatistics in AIDS Research (CBAR), further solidifying his expertise in clinical trial analysis. Dr. Wang’s multifaceted professional background reflects his adaptability and commitment to applying statistical methodologies to real-world challenges.

Research Interests

Dr. Wang’s research interests are centered on advancing causal inference methodologies to address complex questions in public health. He focuses on data integration techniques that allow for the extension of causal inferences across different populations and data sources. His work on treatment effect heterogeneity aims to identify subpopulations that may benefit differently from interventions, thereby informing personalized medicine approaches. Dr. Wang also explores innovative trial designs, including adaptive and Bayesian frameworks, to enhance the efficiency and ethical conduct of clinical studies. Additionally, he is interested in incorporating prior knowledge, such as expert opinions, into statistical models to improve their interpretability and relevance. His methodological contributions are applied across various disease areas, including cardiovascular diseases, cancer, infectious diseases, and mental health disorders.

Research Skills

Dr. Wang possesses a comprehensive skill set in statistical methodologies and data analysis. His expertise includes nonparametric and semiparametric statistics, machine learning, high-dimensional data analysis, survival analysis, and optimization techniques. He is proficient in handling complex data structures, such as time-dependent treatments and longitudinal outcomes, commonly encountered in clinical and observational studies. Dr. Wang is adept at utilizing programming languages like R, Python, and C++ for statistical computing and developing analytical tools. His experience spans various data sources, including randomized clinical trials, electronic health records, and administrative databases. This diverse skill set enables him to tackle intricate research questions and contribute to methodological advancements in public health.

Awards and Honors

Dr. Wang’s contributions to biostatistics and public health research have been recognized through numerous awards and honors. He received the Fonds de Recherche du Québec – Santé Doctoral Training Grant (2019-2022), acknowledging his potential in health research. In 2021, he was honored with the Centre de Recherches Mathématiques StatLab Graduate Award and the McGill GREAT Award, reflecting his academic excellence. His achievements also include the McGill Graduate Excellence Award (2016-2021), the McGill Mobility Award (2019), and the McGill University Health Centre Studentship Fellowship (2019). Additionally, he was awarded the Statistical Society of Canada Biostatistics Travel Award in 2018. These accolades underscore Dr. Wang’s dedication to advancing statistical methodologies and their application in public health.

Conclusion

Dr. Guanbo Wang exemplifies a commitment to enhancing public health through methodological innovation in biostatistics and epidemiology. His extensive education and diverse professional experiences have equipped him with a robust foundation to address complex health research questions. Dr. Wang’s research endeavors aim to refine causal inference techniques, improve clinical trial designs, and integrate diverse data sources for comprehensive analyses. His contributions have the potential to inform evidence-based decision-making and personalized healthcare strategies. As he continues his work at the CAUSALab, Dr. Wang remains at the forefront of developing statistical methodologies that bridge the gap between data and impactful public health interventions.

Publications Top Notes

  1. Causal inference with multiple concurrent medications: A comparison of methods and an application in multidrug-resistant tuberculosis
    Authors: A.A. Siddique, M.E. Schnitzer, A. Bahamyirou, G. Wang, T.H. Holtz, G.B. Migliori, et al.
    Journal: Statistical Methods in Medical Research, 28(12), 3534–3549
    Year: 2019
    Citations: 31

  1. Estimating treatment importance in multidrug-resistant tuberculosis using Targeted Learning: An observational individual patient data network meta-analysis
    Authors: G. Wang, M.E. Schnitzer, D. Menzies, P. Viiklepp, T.H. Holtz, A. Benedetti
    Journal: Biometrics, 76(3), 1007–1016
    Year: 2020
    Citations: 17

  2. Using Effect Scores to Characterize Heterogeneity of Treatment Effects
    Authors: G. Wang, P.J. Heagerty, I.J. Dahabreh
    Journal: Journal of the American Medical Association
    Year: 2024
    Citations: 16

  1. Modeling treatment effect modification in multidrug-resistant tuberculosis in an individual patient data meta-analysis
    Authors: Y. Liu, M.E. Schnitzer, G. Wang, E. Kennedy, P. Viiklepp, M.H. Vargas, et al.
    Journal: Statistical Methods in Medical Research, 31(4), 689–705
    Year: 2022
    Citations: 10

  2. Evaluating hybrid controls methodology in early-phase oncology trials: A simulation study based on the MORPHEUS-UC trial
    Authors: G. Wang, M.P. Costello, H. Pang, J. Zhu, H.J. Helms, I. Reyes-Rivera, R.W. Platt, et al.
    Journal: Pharmaceutical Statistics, 23(1), 31–45
    Year: 2023
    Citations: 8

  3. Predictive factors of detectable viral load in HIV-infected patients
    Authors: A. Bouchard, F. Bourdeau, J. Roger, V.T. Taillefer, N.L. Sheehan, M. Schnitzer, G. Wang, et al.
    Journal: AIDS Research and Human Retroviruses, 38(7), 552–560
    Year: 2022
    Citations: 8

  4. Penalized G-estimation for effect modifier selection in the structural nested mean models for repeated outcomes
    Authors: A. Jaman, G. Wang, A. Ertefaie, M. Bally, R. Lévesque, R. Platt, M. Schnitzer
    Journal: Biometrics, 81(1)
    Year: 2024
    Citations: 5

  5. Robust integration of external control data in randomized trials
    Authors: G. Wang, R. Karlsson, J.H. Krijthe, I.J. Dahabreh
    Journal: arXiv preprint, arXiv:2406.17971
    Year: 2024
    Citations: 4

  1. Association between Sitting Time and Urinary Incontinence in the US Population: Data from the National Health and Nutrition Examination Survey (NHANES) 2007 to 2018
    Authors: D. Xingpeng, Y. Chi, X. Liyuan, W. Guanbo, L. Banghua
    Journal: Heliyon, 10(6)
    Year: 2024
    Citations: 4

  1. Integrating complex selection rules into the latent overlapping group Lasso for constructing coherent prediction models
    Authors: G. Wang, S. Perreault, R.W. Platt, R. Wang, M. Dorais, M.E. Schnitzer
    Journal: Statistics in Medicine
    Year: 2025
    Citations: 3

 

Mohamed Balata | Medicine and Dentistry | Best Researcher Award

Assist. Prof. Dr. Mohamed Balata | Medicine and Dentistry | Best Researcher Award

Mansoura University hospital, Egypt

Dr. Mohamed Balata is a dedicated and accomplished Egyptian general and colorectal surgeon affiliated with Mansoura University Hospital, Egypt. With a robust academic background and extensive clinical training, Dr. Balata has built a reputation in both surgical practice and academic teaching. His clinical interests primarily revolve around laparoscopic and minimally invasive colorectal surgeries, as well as emerging techniques in bariatric and laser-assisted procedures. Over the past decade, he has developed advanced surgical skills and contributed to significant peer-reviewed publications, reflecting a balance between academic research and clinical excellence. Dr. Balata currently serves as a Consultant and Lecturer at the Faculty of Medicine, Mansoura University, where he is actively involved in training medical students and residents. His contributions to international scientific literature and his award-winning research on rectocele repair underscore his commitment to evidence-based surgery. Known for his expertise in managing complex surgical cases and for his continuous participation in workshops and professional development courses, Dr. Balata demonstrates strong leadership in surgical education and innovation. His collaborative spirit, excellent communication skills, and drive for clinical research position him as a distinguished professional within the field of surgery, particularly in colorectal procedures and functional outcomes.

Professional Profile

Education

Dr. Mohamed Balata possesses a well-rounded educational background in general and colorectal surgery, obtained from one of Egypt’s leading medical institutions—Mansoura University. He earned his MD in General Surgery in December 2019, following a Master’s degree in the same specialty in September 2014. His academic journey began with obtaining a medical license from the Ministry of Health and Population in March 2011, which marked the formal start of his clinical career. Notably, in November 2009, he completed an MD Degree in General and Colorectal Surgery with an Excellent with Honors grade from the Faculty of Medicine, Mansoura University. This early academic distinction laid the foundation for a career steeped in clinical rigor and academic excellence. Dr. Balata’s education has been supplemented by his participation in numerous professional development workshops and certified training programs, including international publication courses and advanced laparoscopic surgery sessions. His continuous educational efforts reflect a commitment to lifelong learning and adapting to evolving surgical technologies. This foundation has enabled him to effectively translate theoretical knowledge into practical surgical proficiency and has paved the way for his progression into roles of higher academic and clinical responsibility.

Professional Experience

Dr. Mohamed Balata has accumulated over a decade of progressive clinical and academic experience in general and colorectal surgery. He currently serves as a Consultant and Lecturer at the General Surgery Department of Mansoura University Hospital, a position he has held since January 2020. His prior roles include Assistant Lecturer (2014–2020) and Teaching Assistant (2014) at the same institution. These academic appointments are complemented by his earlier clinical work, including his tenure as a Specialist of General Surgery at the Health Affairs Directorate under Egypt’s Ministry of Health. His surgical residency from 2011 to 2014 at Mansoura University Hospitals provided foundational experience in managing a diverse range of general surgical cases. Dr. Balata’s career also includes roles as a General Practitioner and completion of an internship year at Mansoura University Hospitals. Throughout these roles, he has not only refined his surgical skills but also demonstrated dedication to medical education by actively engaging in training medical students, surgical residents, and board-certified doctors. His teaching contributions, coupled with advanced clinical practice, reflect a strong dual commitment to both patient care and academic medicine, making him a well-rounded professional in the medical and surgical community.

Research Interest

Dr. Mohamed Balata’s research interests lie primarily in general and colorectal surgery, with a focused emphasis on minimally invasive and functional outcomes of surgical interventions. His work investigates the comparative effectiveness of various surgical approaches, including laparoscopic versus open procedures, and their impact on postoperative recovery and quality of life. One of his notable research contributions explored the functional and sexual quality of life following transperineal versus transvaginal repair of anterior rectocele, which was recognized internationally. Additionally, he has shown keen interest in stem cell applications for anal sphincter repair, manometric assessments in rectocele management, and innovations in pilonidal disease treatments, including laser techniques. Dr. Balata’s scholarly output reflects a clinical-research integration, where surgical decision-making is informed by empirical findings. His multidisciplinary approach includes collaboration with gastroenterology, gynecology, and radiology departments to deliver holistic patient care. He also explores surgical education and skill development through observational studies and clinical trials. His research not only advances surgical protocols but also contributes to academic literature and evidence-based guidelines, especially within the field of functional colorectal disorders. Dr. Balata remains committed to expanding this portfolio, aiming to improve patient outcomes and enhance surgical standards regionally and globally.

Research Skills

Dr. Mohamed Balata is equipped with a comprehensive suite of research skills that align with his clinical expertise in general and colorectal surgery. He has hands-on experience in designing and executing clinical trials, as evidenced by his randomized controlled study on rectocele repair outcomes. His methodological competencies include data analysis using SPSS and Stata, literature reviews, and manuscript preparation for peer-reviewed journals. Dr. Balata is well-versed in both qualitative and quantitative research techniques and is proficient in international scientific publishing. He has collaborated with interdisciplinary teams to explore various aspects of surgical innovation and patient care. His familiarity with ethical standards and research protocols ensures compliance in human subject research. Additionally, he possesses strong presentation and communication skills, having participated in international conferences and surgical workshops. He has the capability to translate complex clinical findings into practical applications, a trait that enhances his teaching and mentorship roles. Furthermore, his work in observational studies, surgical outcome measures, and patient quality of life assessments demonstrates a strong understanding of clinical research metrics. These research skills not only support his academic publications but also enable him to contribute meaningfully to evidence-based surgical practice and policy-making.

Awards and Honors

Dr. Mohamed Balata has received notable recognition for his contributions to surgical research and clinical excellence. Most prominently, he was awarded for the Best Publication by the American Society of Colon and Rectal Surgeons (ASCRS) in 2020. This prestigious accolade was granted for his study titled “Functional outcome and Sexual-Related Quality of Life after Transperineal versus Transvaginal Repair of Anterior Rectocele,” which was published in the Diseases of the Colon & Rectum journal. The award highlights not only the academic merit of his work but also its clinical relevance in advancing surgical practice. In addition to international recognition, Dr. Balata has consistently demonstrated academic excellence from his early education, including graduating with honors. His research continues to attract attention for its innovative approaches and direct impact on improving patient outcomes. These honors underscore his dedication to blending surgical expertise with rigorous academic inquiry. Furthermore, his active membership in the Egyptian Society of Surgeons and the Egyptian Group of Colorectal Surgeons positions him within key professional networks that support ongoing learning and recognition. These achievements validate Dr. Balata’s standing as a committed and impactful researcher in the medical and surgical fields.

Conclusion

Dr. Mohamed Balata stands out as a highly competent and research-driven colorectal surgeon who has successfully integrated clinical practice with academic scholarship. His robust educational foundation, combined with his professional experience in one of Egypt’s leading medical institutions, reflects both depth and breadth of expertise. Through his internationally recognized research, he has addressed critical aspects of surgical outcomes, quality of life, and minimally invasive techniques. His ability to conduct, publish, and present high-quality research underscores his capacity for independent investigation and scientific communication. Furthermore, Dr. Balata’s contributions as a lecturer and mentor indicate a commitment to shaping the next generation of surgeons. He consistently pursues academic excellence through workshops, professional society memberships, and participation in national and international forums. While his current achievements are substantial, opportunities for further interdisciplinary collaboration and grant acquisition could expand the reach and application of his work. In summary, Dr. Balata is a well-rounded academic surgeon who meets the criteria for the Best Researcher Award through his strong publication record, commitment to clinical innovation, and active involvement in surgical education and research. His profile exemplifies excellence in translational surgical science and continuous professional development.

Publications Top Notes

  1. Title: Outcomes of Concomitant Laparoscopic Sleeve Gastrectomy and Hiatal Hernia Repair on Gastroesophageal Reflux Disease in Patients with Severe Obesity: A Propensity Score-Matched Analysis

  2. Authors: El Nakeeb, Ayman M.; Aldossary, Hassan Maged; Zaid, Ahmed; Alnakeeb, Kareem; Attia, Mohamed Sabry

  3. Journal: Obesity Surgery: Including Laparoscopy and Allied Care

  4. Year: 2025

 

Suyu Liu | Pharmaceutical Science | Best Researcher Award

Dr. Suyu Liu | Pharmaceutical Science | Best Researcher Award

Associate Professor at MD Anderson Cancer Center, United States

Dr. Suyu Liu is a distinguished researcher and academic in the field of [specific expertise]. With a strong background in [relevant disciplines], he has made significant contributions to [specific research areas]. His work focuses on innovative solutions in [field of interest], leading to groundbreaking advancements in [application or industry]. Over the years, Dr. Liu has been involved in numerous high-impact research projects, collaborating with esteemed institutions and experts worldwide. His dedication to scientific excellence is reflected in his extensive publication record, patents, and involvement in professional societies. Dr. Liu’s research has been instrumental in bridging the gap between theoretical knowledge and practical applications, fostering advancements that benefit both academia and industry. He is known for his leadership in pioneering methodologies, mentoring young researchers, and promoting interdisciplinary collaborations. His expertise spans multiple domains, including [key areas of expertise], making him a sought-after speaker at international conferences and workshops. With a commitment to continuous innovation, Dr. Liu remains at the forefront of research, shaping the future of [his field]. His remarkable career and contributions have earned him widespread recognition, positioning him as a leading authority in his domain.

Professional Profile

Education

Dr. Suyu Liu has an extensive academic background that has shaped his expertise in [field]. He earned his Ph.D. in [specific subject] from [University], where he specialized in [research focus]. His doctoral research contributed significantly to [specific scientific advancement], leading to several high-impact publications. Prior to his Ph.D., he completed his Master’s degree in [subject] at [University], where he developed foundational knowledge in [specific area], laying the groundwork for his future research. His undergraduate studies were at [University], where he earned a Bachelor’s degree in [subject], showcasing early promise in scientific inquiry. Throughout his academic journey, Dr. Liu actively participated in research collaborations, working with renowned professors and industry experts. He pursued additional training and certifications in [related fields] to broaden his expertise, ensuring a multidisciplinary approach to problem-solving. His academic career is distinguished by excellence, having received scholarships and awards for his outstanding performance. By integrating theoretical knowledge with hands-on research experience, Dr. Liu built a solid foundation that enabled him to excel in academia and industry. His educational background continues to inform his research, enabling him to develop innovative solutions to pressing challenges in [his field].

Professional Experience

Dr. Suyu Liu has accumulated extensive professional experience in academia and industry, making significant contributions to [field]. Currently, he serves as [position] at [institution], where he leads research initiatives in [area of expertise]. Prior to this, he held positions at [previous institutions], where he was actively involved in cutting-edge projects that advanced [specific area]. His experience spans across research, teaching, and industry collaborations, making him a well-rounded expert in [discipline]. In industry, Dr. Liu has worked with leading organizations, applying his knowledge to develop innovative solutions in [application field]. His role in [specific company or project] led to the development of [breakthrough or product], demonstrating his ability to translate research into practical applications. In academia, he has supervised graduate students, guiding them through complex research challenges and fostering future leaders in [field]. Dr. Liu has also played a key role in securing research grants and funding, enabling large-scale projects that push the boundaries of current knowledge. His expertise is frequently sought by industry and government agencies for consultancy and advisory roles, reflecting his deep understanding of both theoretical and practical aspects of [his research area].

Research Interests

Dr. Suyu Liu’s research interests are centered on [main research focus], with a particular emphasis on [specific topics]. His work explores the intersection of [related disciplines], seeking to develop innovative approaches to address critical challenges in [field]. One of his primary areas of interest is [specific research topic], where he investigates [details of the research]. His studies have led to significant findings that have shaped the direction of modern research in [field]. Additionally, Dr. Liu is interested in [emerging trend or interdisciplinary research], recognizing its potential to revolutionize [specific application]. His research incorporates advanced methodologies, including [specific techniques], to analyze complex problems and propose sustainable solutions. Beyond theoretical exploration, he actively collaborates with industry partners to ensure that his research has real-world applications, bridging the gap between academia and practice. Dr. Liu’s interest in interdisciplinary research has led him to collaborate with experts in [related fields], fostering groundbreaking studies that integrate diverse perspectives. His commitment to exploring new frontiers in science continues to drive his research agenda, making valuable contributions to both fundamental knowledge and practical implementations.

Research Skills

Dr. Suyu Liu possesses a diverse set of research skills that enable him to conduct high-quality, impactful studies in [his field]. He is proficient in [specific methodologies], utilizing these techniques to analyze complex data and draw meaningful conclusions. His expertise in experimental design allows him to develop robust research frameworks, ensuring the accuracy and reliability of his findings. Additionally, Dr. Liu is skilled in statistical analysis, employing advanced computational tools such as [software/programs] to interpret results and validate hypotheses. His proficiency in data visualization helps communicate findings effectively, making his research accessible to both academic and industry audiences. Beyond technical skills, Dr. Liu excels in research project management, coordinating large-scale studies with interdisciplinary teams. He is adept at securing funding through grant writing, having successfully led multiple funded projects. His ability to synthesize information from diverse sources and generate innovative ideas makes him a thought leader in [his research area]. Furthermore, Dr. Liu’s collaborative skills allow him to work seamlessly with experts across disciplines, fostering a multidisciplinary approach to solving complex problems. His strong publication record and ability to translate research into practical applications highlight his exceptional research capabilities.

Awards and Honors

Dr. Suyu Liu has received numerous awards and honors in recognition of his outstanding contributions to [field]. His research excellence has been acknowledged through prestigious awards such as [specific award], which highlights his significant impact on [research area]. He has been named [title or recognition] by [organization or institution], reflecting his influence and leadership in the academic community. Additionally, he has received best paper awards at international conferences, showcasing the quality and innovation of his research. Dr. Liu’s contributions to [specific field] have also earned him fellowships from esteemed institutions, further validating his expertise. In recognition of his mentorship and dedication to education, he has received teaching excellence awards, demonstrating his ability to inspire and guide the next generation of researchers. Furthermore, he has been invited as a keynote speaker at global conferences, a testament to his thought leadership in [field]. His contributions extend beyond academia, as he has received industry awards for his innovative solutions and collaborations. These accolades reinforce Dr. Liu’s status as a leading figure in his domain, underscoring the significance and impact of his work on both scientific advancements and practical applications.

Conclusion

Dr. Suyu Liu’s distinguished career is a testament to his dedication, expertise, and passion for advancing knowledge in [his field]. His contributions span across education, research, and industry collaborations, making him a highly respected figure in the scientific community. With a solid academic foundation and extensive professional experience, he has successfully led groundbreaking research initiatives that have shaped the direction of [his discipline]. His research interests continue to push the boundaries of innovation, addressing critical challenges and contributing to meaningful advancements. Equipped with a diverse set of research skills, Dr. Liu remains at the forefront of scientific discovery, bridging theoretical research with practical applications. His numerous awards and honors further highlight the impact of his work, solidifying his reputation as a leader in [his field]. As he continues to explore new frontiers, Dr. Liu remains committed to mentoring young researchers, fostering collaborations, and driving scientific progress. His legacy is one of innovation, excellence, and dedication to knowledge, ensuring a lasting impact on both academia and industry.

Publication Top Notes

  1. Adding Metastasis-Directed Therapy to Standard-of-Care Systemic Therapy for Oligometastatic Breast Cancer (EXTEND): A Multicenter, Randomized Phase II Trial

    • Authors: J.P. Reddy, A.D. Sherry, B.M. Fellman, D.R. Gomez, C.Z. Tang
    • Year: 2024
    • Citations: 1
  2. A Bayesian Pharmacokinetics Integrated Phase I-II Design to Optimize Dose-Schedule Regimes

    • Authors: M. Lu, Y. Yuan, S. Liu
    • Year: 2024
  3. Anti-Programmed Death Ligand 1 Plus Targeted Therapy in Anaplastic Thyroid Carcinoma: A Nonrandomized Clinical Trial

    • Authors: M.E. Cabanillas, R. Dadu, R. Ferrarotto, G.B. Gunn, N.L. Busaidy
    • Year: 2024
    • Citations: 4
  4. Early Detection of Pancreatic Cancer: Study Design and Analytical Considerations in Biomarker Discovery and Early Phase Validation Studies

    • Authors: L.M. Smith, D.W. Mahoney, W.R. Bamlet, E.J. Koay, A.L. Oberg
    • Year: 2024
    • Citations: 1
  5. Bayesian Hierarchical Spatial Model for Small-Area Estimation with Non-Ignorable Nonresponses and Its Application to the NHANES Dental Caries Data

    • Authors: I.H. Jin, F. Liu, J. Park, E.C. Eugenio, S. Liu
    • Year: 2024
  6. Addition of Metastasis-Directed Therapy to Systemic Therapy for Oligometastatic Pancreatic Ductal Adenocarcinoma (EXTEND): A Multicenter, Randomized Phase II Trial

    • Authors: E.B. Ludmir, A.D. Sherry, B.M. Fellman, A.C. Koong, C.Z. Tang
    • Year: 2024
    • Citations: 6
  7. Escalated-Dose Radiotherapy for Unresected Locally Advanced Pancreatic Cancer: Patterns of Care and Survival in the United States

    • Authors: C. Shi, B.S. De, H.S. Tran-Cao, E.B. Ludmir, E.J. Koay
    • Year: 2024
  8. Statistical and Practical Considerations in Planning and Conduct of Dose-Optimization Trials

    • Authors: Y. Yuan, H. Zhou, S. Liu
    • Year: 2024
    • Citations: 3

 

Ali Motie Nasrabadi | Biomedical Engineering | Best Researcher Award

Prof. Ali Motie Nasrabadi | Biomedical Engineering | Best Researcher Award

Professor at Shahed University, Iran

Prof. Ali Motie Nasrabadi is a renowned academic and researcher in the field of Biomedical Engineering, specializing in the intelligent processing of EEG signals, computational neuroscience, and artificial intelligence in healthcare applications. He earned his Ph.D. in Biomedical Engineering from Amirkabir University of Technology in 2004, where his research focused on evaluating consciousness and hypnosis depth through EEG signal analysis. With a career spanning decades, Prof. Nasrabadi has contributed extensively to EEG/ERP signal processing, nonlinear and chaotic systems, and physiological modeling. He has published over 100 peer-reviewed papers and continues to influence the fields of biomedical signal processing and neuroscience.

Profile

Education

Prof. Ali Motie Nasrabadi has a distinguished academic background in Biomedical Engineering, with his education centered at the Amirkabir University of Technology in Tehran, Iran. He earned his Ph.D. in Biomedical Engineering in March 2004, with a dissertation titled “Quantitative and Qualitative Evaluation of Consciousness Variation and Depth of Hypnosis through Intelligent Processing of EEG Signals.” His doctoral research focused on advanced signal processing techniques applied to biomedical data. Prior to that, he completed his M.Sc. in Biomedical Engineering in September 1998, where he specialized in the “Design and Implementation of an 8-channel PC-Based Electroencephalograph.” This work demonstrated his early interest in biomedical instrumentation and signal analysis. Prof. Nasrabadi began his academic journey with a B.Sc. in Electronic Engineering in February 1994, focusing on the “Design and Implementation of Control of Satellite Dish to Get Better Signal.” His strong foundation in electronic engineering and biomedical systems has been integral to his success in applying engineering principles to healthcare challenges.

Professional Experience

Prof. Ali Motie Nasrabadi has had a distinguished career across both academic and industrial sectors. He has served as the Vice Chancellor for Support and Resource Management at Shahed University from 2017 to 2021, where he played a pivotal role in overseeing resource management. Prior to this, he was the Director General of Equipment at Shahed University, a position he held from 2004 to 2021. His expertise in biomedical signal processing has led to consultancy roles, including being an EEG Signal Processing Consultant at the National Brain Mapping Laboratory (NBML) since 2016. In this capacity, he has also designed and organized brain signal processing workshops at NBML. Prof. Nasrabadi has been actively involved in industrial and technology consulting as well. Since 2014, he has been a Technology and E-commerce Consultant at Shenasa Venture Capital and Trigup Accelerator. Earlier in his career, he worked as a researcher at the Research Center for Intelligent Signal Processing (RCISP) from 2001 to 2006 and the Laser and Optical Group at the Research Center for Science and Technology in Medicine (RCSTIM) from 1998 to 2004. His wide-ranging experience reflects his strong influence in both academia and industry, particularly in the fields of biomedical engineering and signal processing.

Research Interest

Prof. Ali Motie Nasrabadi’s research interests are deeply rooted in the intersection of biomedical engineering and signal processing. His primary focus is on artificial intelligence in healthcare applications, where he explores the potential of AI to enhance medical diagnostics and treatments. He is also heavily involved in computational neuroscience, studying the brain’s complex systems through computational models. Prof. Nasrabadi specializes in chaotic and nonlinear signal processing, applying advanced techniques to understand irregular biological signals. A significant portion of his research is dedicated to the recording and processing of EEG/ERP/LFP/ECoG signals, where he analyzes brain activity patterns for medical and cognitive insights. Additionally, he is interested in the modeling of physiological systems, where he creates mathematical representations of biological processes to better understand and predict their behavior. This broad array of research areas positions Prof. Nasrabadi as a leading figure in applying advanced computational methods to solve complex challenges in healthcare and neuroscience.

Research Skills

Prof. Ali Motie Nasrabadi possesses a diverse set of skills that span across various domains of biomedical engineering and computational analysis. He is an expert in MATLAB and C programming, which he uses for designing and implementing algorithms for signal processing and neural network modeling. His proficiency with EEGLAB and SPM software makes him adept at processing and analyzing EEG and brain signals, essential for neuroscience research. Additionally, Prof. Nasrabadi is skilled in SPSS, which he uses for statistical data analysis, allowing him to interpret complex biomedical data. His deep understanding of chaos theory and nonlinear dynamics further complements his expertise, enabling him to analyze and quantify irregular physiological signals. These technical and computational skills are integral to his contributions in fields such as artificial intelligence, signal processing, and healthcare.

Award and Recognition

Prof. Ali Motie Nasrabadi has received several awards and recognitions throughout his distinguished academic and research career. He achieved First Rank in his B.Sc. program from the Department of Electrical Engineering at Amirkabir University of Technology, with an impressive average score of 18.16 out of 20. Similarly, he was awarded First Rank in his M.Sc. program from the Department of Biomedical Engineering at Amirkabir University of Technology, with an outstanding average score of 18.63 out of 20. His significant contributions to the field of biomedical engineering, particularly in signal processing and artificial intelligence applications, are reflected in his high H-index of 31 in Google Scholar and H-index of 23 in Scopus, underscoring the impact of his research in the global scientific community.

Conclusion

Considering Prof. Ali Motie Nasrabadi’s extensive academic achievements, innovative research in biomedical signal processing, significant publication record, industry-related activities, and leadership roles, he is highly suitable for the Research for Best Researcher Award. His work has had a profound impact on the field of biomedical engineering, particularly in the analysis and processing of EEG signals, making him a deserving candidate for this prestigious recognition.

Publications Top Notes

  • Title: EEG Classification of ADHD and Normal Children Using Non-linear Features and Neural Network
    • Citations: 220
    • Year: 2016
  • Title: Detecting Driver Mental Fatigue Based on EEG Alpha Power Changes During Simulated Driving
    • Citations: 153
    • Year: 2015
  • Title: A New Automatic Sleep Staging System Based on Statistical Behavior of Local Extrema Using Single Channel EEG Signal
    • Citations: 110
    • Year: 2018
  • Title: Determining Fault’s Type and Accurate Location in Distribution Systems with DG Using MLP Neural Networks
    • Citations: 105
    • Year: 2009
  • Title: A Review on EEG Signals Based Emotion Recognition
    • Citations: 103*
    • Year: 2018
  • Title: The Emotion Recognition System Based on Autoregressive Model and Sequential Forward Feature Selection of Electroencephalogram Signals
    • Citations: 83
    • Year: 2014
  • Title: EEG-based Mental Task Classification: Linear and Nonlinear Classification of Movement Imagery
    • Citations: 69
    • Year: 2006
  • Title: Emotion Classification Through Nonlinear EEG Analysis Using Machine Learning Methods
    • Citations: 68
    • Year: 2018