Seema Garg | Medical Hypotheses | Best Researcher Award

Seema Garg | Medical Hypotheses | Best Researcher Award

Dr Seema Garg, University College of Medical Sciences, India

Dr. Seema Garg (b. January 29, 1973) is a distinguished Professor of Biochemistry at the University College of Medical Sciences and GTB Hospital, Delhi, with over 20 years of experience. An ardent advocate for value-based education and ethical research, she specializes in diabetes, thyroid disorders, and metabolic diseases. Dr. Garg has played pivotal roles in various esteemed institutions, including AIIMS Nagpur, where she established the Biochemistry department and managed COVID-19 ward facilities. Her scholarly contributions include 35+ publications and a copyright for the OSLER model in clinical biochemistry. She actively engages in social work and is a member of several professional bodies. ๐Ÿ“š๐Ÿ”ฌโœจ

Publication profile

scopus

Education

Dr. Seema Garg currently serves as a Professor in the Department of Biochemistry at the University College of Medical Sciences and GTB Hospital, Delhi ๐Ÿฅ. Holding an MBBS and an MD in Biochemistry from PGIMS, Rohtak ๐ŸŽ“, Dr. Seema Garg has specialized training in Laboratory Quality Management and Internal Audit according to ISO 15189 guidelines ๐Ÿงช. Additionally, Dr. Seema Garg has completed courses in Administrative and Financial Skills, as well as Medical Education Technologies and Curriculum Implementation Support Program ๐Ÿ“š. With a strong foundation in both clinical practice and educational methodologies, Dr. Seema Garg is dedicated to advancing medical science and education ๐ŸŒŸ.

Experience

Dr. Seema Garg, MD in Biochemistry, boasts over 20 years of distinguished experience across prestigious institutions such as AIIMS Nagpur, Pt BDS, PGIMS Rohtak, and University College of Med Sciences, Delhi. As Head of the Biochemistry department at AIIMS Nagpur, she pioneered its establishment amidst managing Covid Ward facilities during the pandemic. Dr. Garg is deeply committed to medical education, supervising numerous MD theses and advocating for undergraduate research exposure. Her research interests span biomarkers in diabetes, metabolic syndrome, cardiovascular diseases, and thyroid disorders, alongside clinical chemistry, nutrition, and oncology. She holds accolades including best poster awards and copyrights, and actively engages in editorial roles, course development, and reviewing for esteemed journals and institutions. ๐Ÿฅ

Awards

In 1990, she was honored with a scholarship during my senior secondary education, marking a pivotal moment in my academic journey. Years later, in 2012, she received a prestigious travel grant from UGC to attend an international conference, broadening my global perspectives. The year 2014 brought another achievement as I was recognized for presenting the Best Poster at ACBI, showcasing my dedication to scientific communication. More recently, in 2020, she secured a copyright for the OSLER model, a significant milestone in the field of clinical biochemistry (Copyright no. L-92593/2020 dated 06/07/2020). ๐ŸŽ“ These milestones reflect my ongoing commitment to academic excellence and innovation in my field.

Research focus

Dr. Mehndiratta’s research primarily focuses on obstetrics and gynecology, with a particular interest in maternal health issues such as preterm labor and pregnancy-related complications. His studies often explore biomarkers and physiological factors influencing maternal and fetal outcomes, including vitamin D insufficiency and its implications. Dr. Mehndiratta’s work contributes to understanding and managing conditions like preterm prelabor rupture of membranes (PPROM) in pregnant Indian women. ๐Ÿคฐ His research underscores the importance of proactive healthcare interventions to improve maternal and neonatal health during pregnancy, emphasizing preventive strategies and early detection through biomarker studies.

Hsuan-Wei Liu | Medical Hypotheses | Best Researcher Award

Hsuan-Wei Liu | Medical Hypotheses | Best Researcher Award

Ms Hsuan-Wei Liu, China Medical University, Taiwan

Ms. Hsuan-Wei Liu is a dedicated researcher specializing in orthopedics and geriatrics, focusing on the effects of resistance training with elastic bands on bone mineral density, body composition, and osteosarcopenic obesity in elderly women. Her meta-analysis highlights significant improvements in skeletal health and obesity-related metrics through targeted exercise interventions. Ms. Liu’s work underscores her commitment to advancing knowledge in geriatric orthopedics, aiming to enhance quality of life for aging populations. ๐Ÿ“Š

Publication profile

orcid

scopus

Research focus

Hsiu-Wei Liu’s research primarily focuses on the impact of resistance training and physical exercise on musculoskeletal health, particularly in elderly populations. Their work includes systematic reviews and meta-analyses on how resistance training, including the use of elastic bands, affects bone mineral density, body composition, and conditions like osteosarcopenic obesity. This indicates a strong emphasis on rehabilitation and preventive care in orthopedics and geriatrics. Liu’s research is crucial for improving the quality of life and functional independence in aging individuals, aligning with the fields of sports science, orthopedics, and gerontology. ๐Ÿ‹๏ธโ€โ™€๏ธ๐Ÿฆด๐Ÿ‘ต๐Ÿ”ฌ

Publication top notes

Resistance training in patients with total knee arthroplasty: A systematic review and meta-analysis

Effects of resistance training with elastic bands on bone mineral density, body composition, and osteosarcopenic obesity in elderly women: A meta-analysis

Chuanxi Liu | Cross-disciplinary Synthesis | Cross-disciplinary Excellence Award

Chuanxi Liu | Cross-disciplinary Synthesis | Cross-disciplinary Excellence Award

Mr Chuanxi Liu, State Nuclear Power Information Technology Company.LTD, China

Chuanxi Liu is a prolific researcher with a strong background in astrophysics and artificial intelligence. He has co-authored pivotal papers on Gamma-Ray Burst (GRB) X-Ray flare properties and statistical studies of Swift X-Ray Flash and X-Ray Rich GRBs. Liu’s contributions to electric power technology include developing neural network algorithms for waveform data processing and using image processing techniques for fault detection. He has also innovated in wind power inspection with advancements in oil leakage detection and crack recognition. His notable achievements include a patent on traveling wave ranging and success in the Shandong Provincial AI Competition. ๐Ÿ“ก๐Ÿ›ฐ๏ธ๐Ÿ’ก๐Ÿ’ป๐Ÿ”

Publication profile

scopus

Education

I earned my BSc in Applied Physics from Shandong Jianzhu University, studying from September 2011 to June 2015. During my time there, I took a variety of courses including Thermodynamics, Mechanics, Optics, Electromagnetism, and Quantum Mechanics ๐Ÿ“š. My coursework also covered Higher Mathematics, Linear Algebra, Statistics and Probability Theory, Theoretical Mechanics, Machining Drawing, and Fundamentals of Digital and Analog Circuit Technology ๐Ÿ“. Following this, I pursued an MSc in Astrophysics at the University of Chinese Academy of Sciences from September 2015 to June 2019. My graduate studies included courses such as Image Processing, Semiconductor Device Physics, and Astronomical Data Processing ๐ŸŒŒ. I also gained expertise in Numerical Simulation Methods for Magnetohydrodynamics and used Linux systems and the Astronomy Software Package IDL for my research ๐Ÿ–ฅ๏ธ.

Experience

From September 2015 to June 2019, I pursued a Master of Science at Yunnan Observatory, where I conducted extensive research on gamma-ray bursts. My work involved analyzing their spectra and light to validate astrophysical models. During this period, I co-authored several papers, including “GRB X-Ray Flare Properties among Different GRB Subclasses” published in the Astrophysical Journal in 2019 ๐Ÿ“š, and “Statistical Study of the Swift X-Ray Flash and X-Ray Rich Gamma-Ray Bursts” in 2018 ๐ŸŒŸ. Additionally, I contributed to the “Research Progress of GRB X-Ray Flare” in Progress in Astronomy in 2020 ๐ŸŒŒ.

Research focus

Liu, C., involved in multiple research areas, appears to have a diverse focus. In the field of object detection, Liu contributes to enhancing detection techniques through the development of the TBFF-DAC model, which leverages deformable attention and convolution for improved feature fusion ๐Ÿค–. Additionally, Liu is engaged in electrical engineering, specifically in fault location methods for railway systems, utilizing non-contact measurements ๐Ÿš„. In the realm of astrophysics, Liu explores the properties of gamma-ray bursts and X-ray flares, analyzing their characteristics across different subclasses ๐ŸŒŒ. This multidisciplinary approach underscores Liu’s expertise in both technological advancements and astrophysical phenomena.

Publication top notes

TBFF-DAC: Two-branch feature fusion based on deformable attention and convolution for object detection

Research on Traveling Wave Fault Location Method of Railway Automatic Blocking/Power Continuous Line Based on Noncontact Measurement

GRB X-Ray Flare Properties among Different GRB Subclasses

Statistical Study of the Swift X-Ray Flash and X-Ray Rich Gamma-Ray Bursts

Surya Chelikani | Quantitative Hypotheses | Best Researcher Award

Surya Chelikani | Quantitative Hypotheses | Best Researcher Award

Dr Surya Chelikani, Quinnipiac University, United States

Dr. Surya Chelikani is an accomplished educator and researcher in finance, specializing in corporate finance, asset pricing, and market microstructure. With a Ph.D. from Oklahoma State University, he serves as an Associate Professor at Quinnipiac University. His expertise extends to both academic and corporate realms, with prior experience in engineering and consultancy. Dr. Chelikani’s research investigates topics such as market integration and regulatory impacts on financial markets. Recognized for his teaching excellence, he has received prestigious awards and consistently high evaluations. ๐Ÿ“š๐Ÿ’ผ๐Ÿ…

Publication profile

google scholar

Education

After completing a Bachelor’s in Mechanical Engineering from Andhra University (India) in 1981, I pursued an M.B.A in General Management from the University of Central Oklahoma in 2003. Building upon this foundation, I obtained my Ph.D. in Finance from Oklahoma State University in 2010. ๐ŸŽ“ This educational journey reflects a diverse range of interests and expertise, blending technical skills with financial acumen. From engineering principles to the intricacies of financial markets, each step has contributed to a well-rounded perspective and a dedication to continuous learning and growth.

Experience

As an academic, I’ve dedicated years to teaching and shaping minds. Beginning as an Instructor at Oklahoma State University, I’ve covered various financial courses, earning commendable teaching evaluations. My journey progressed to Quinnipiac University, where I advanced from Assistant Professor to Associate Professor, fostering a dynamic learning environment. Alongside academia, I’ve also ventured into the corporate realm. As a partner in multiple enterprises spanning cold welding, systems programming, and consultancy for cement plants, I’ve honed practical insights that complement my academic endeavors. Balancing academia with real-world experience has enriched my professional journey, ensuring a holistic approach to education. ๐Ÿ“š๐Ÿ’ผ

Awards

In the realm of academia, achievements often serve as milestones of dedication and excellence. Such is the case for Surya Chelikani, whose academic journey has been adorned with accolades. Notably,ย  clinched the coveted Outstanding Graduate Teaching Associate award in Finance, an honor bestowed uponย  in both 2006 and 2007โ€”a feat unmatched by any other recipient. Securing a four-year assistantship from the Department of Finance further underscores [his/her/their] commitment and proficiency. [His/Her/Their] consistent presence on the Presidentโ€™s List throughoutย  MBA years reflects [his/her/their] unwavering academic prowess. Membership in esteemed societies like Delta Mu Delta and the Golden Key national honor society epitomizes scholarly excellence and distinction. ๐ŸŽ“

Research focus

S Chelikani’s research primarily focuses on financial economics, particularly in areas related to market efficiency, regulatory impacts, and financial contagion. Chelikani has explored the effects of regulatory changes such as Sarbanes-Oxley and Regulation Fair Disclosure on market integration and efficiency. Additionally, their work delves into the implications of financial crises, such as the 2008 financial crisis, on various financial sectors, including the Turkish financial sector and hedge funds. Their studies often employ quantitative methods like cointegration analysis to examine market dynamics and investor behavior.

๐Ÿ”๐Ÿ“Š๐Ÿ’น๐Ÿ“‰๐Ÿ“ˆ

Publication top notes

Financial crisis and contagion: The effects of the 2008 financial crisis on the Turkish financial sector

The impact of Sarbanes-Oxley on market efficiency: evidence from mergers and acquisitions activity

GASB mandatory disclosure rules and municipal bond yield spreads

Implied volatility spread and stock mispricing

The Hedge Fund Industry’s Market Timing Ability and Role in Financial Contagion: Evidence from the Strategic Response to the 2008 Financial Crisis

The Effect of Regulation Fair Disclosure on Market Integration

Past stock returns and the MAX effect

Volatility feedback effect and risk-return tradeoff

The impact of insider ownership level on equity market timing decisions

State-dependent intertemporal risk-return tradeoff: Further evidence

Revisiting the ICAPM under the distortion of riskโ€“return tradeoff in shortโ€horizon stock returns

Cointegration Analysis of the Effect of Decimalization on Market Equilibrium and Price Discovery

Neda Fatima | Cross-disciplinary Synthesis | Women Researcher Award

Neda Fatima | Cross-disciplinary Synthesis | Women Researcher Award

Dr Neda Fatima, Manav Rachna International Institute of Research and Studies, India

๐ŸŒŸ Dr. Neda Fatima, an accomplished Knowledge Engineer, aspires to innovate SMART devices in CSE and IT via IoT. With 6 years’ experience as an Assistant Professor, she’s adorned with accolades like NET and GATE qualifications, PhD, and numerous research papers. Adept in AI, ML, Data Science, and IoT, she’s mentored in hackathons and workshops, showcasing expertise in academia and industry. Passionate about education, she’s won awards, led cultural events, and demonstrated leadership as a Placement Coordinator. With a Ph.D. from JMI, she’s a dynamic professional excelling in both academics and extracurriculars. ๐Ÿš€

Publication profile

google scholar

Education

Dr Neda Fatima, a distinguished scholar, proudly holds a Ph.D. from Jamia Millia Islamia (JMI), an achievement recognized and awarded for its excellence. Their academic journey showcases a remarkable trajectory, marked by stellar accomplishments. With a Master’s in Technology from JMI, attained in 2019 with a remarkable CGPA of 9.52, and a Bachelor’s in Technology from the same esteemed institution in 2015, where they graduated with a notable CPI of 9.13. Their linguistic prowess is equally impressive, having completed an Advanced Diploma in Spanish, considered equivalent to a Spanish degree, from JMI in 2015, where they excelled as the course topper. Additionally, they showcased their linguistic flair by topping courses in Portuguese as well. Their academic brilliance traces back to their school days, where they consistently shone. In 2010, they secured a first division in their XII CBSE examinations from Delhi Public School, R.K. Puram, with a focus on Physics, Chemistry, Mathematics, Biology, and English. Even earlier, in 2008, they emerged as the school topper in X CBSE examinations from Father Agnel School, boasting an impressive aggregate of 96%. ๐Ÿ†๐ŸŽ“โœจ

Experience

With a diverse portfolio spanning from faculty development programs ๐Ÿ“š to hackathons ๐Ÿ’ป, internships ๐Ÿค, and workshops ๐Ÿ› ๏ธ, my journey epitomizes a holistic engagement with cutting-edge technologies. From mentoring teams in cybersecurity and AI/ML hackathons to participating in national-level military hackathons ๐ŸŽ–๏ธ, my dedication to innovation is evident. Moreover, I’ve contributed as a resource person in research colloquia, showcasing expertise in integrating IoT with blockchain. With hands-on experience in diverse programming languages and technologies ๐Ÿ–ฅ๏ธ, coupled with a strong conceptual understanding, I’m poised to continue making impactful strides in the realms of AI, IoT, cybersecurity, and beyond.

Research focus

N Fatima’s research spans across various domains, primarily focusing on healthcare and environmental monitoring ๐ŸŒฟ๐Ÿฅ. Her work includes designing IoT-based systems for disease prediction in smart greenhouses and human health, such as dermatological disease prediction and stress detection systems. Additionally, she contributes to border security and vehicle recognition technologies. Fatima’s recent endeavors involve utilizing deep learning techniques for disease prediction, including SARS-CoV-2 variant detection and mortality prediction. Through her research, she aims to leverage machine learning and IoT technologies to address pressing challenges in healthcare, agriculture, and security sectors, showcasing a versatile and impactful research portfolio.

Publication top notes

IoT-based smart greenhouse with disease prediction using deep learning

Neural Network based Smart Weed Detection System

IoT-based disease prediction using machine learning

Chest X-ray and CT scan classification using ensemble learning through transfer learning

Iot based border security system using machine learning

Comparative analysis of propagation path loss models in lte networks

Comparative Performance Analysis of Digital Modulation Schemes with Digital Audio Transmission through AWGN Channel

Smart air pollution monitoring system with smog prediction model using machine learning

Design of driver alcohol detection system with automatic engine locking

SARS-CoV-2 virus variant detection and mortality prediction through symptom analysis using machine learning

Dermatological disease prediction and diagnosis system using deep learning

Design of Smart Heart Rate Monitoring and Stress Detection System with Cloud Data Storage and Privacy

COVID-19 Vaccination Progress in India and its Neighbors

Vehicle Number Plate Recognition via MATLAB

Detection and Segmentation of Brain Tumor using MRI images

 

 

 

 

Mediatrice NIYONSABA | Qualitative Hypotheses | Best Paper Award

Mediatrice NIYONSABA | Qualitative Hypotheses | Best Paper Award

Mrs Mediatrice NIYONSABA, Rwanda Biomedical center, Rwanda

Mediatrice Niyonsaba is a dedicated health professional and researcher. Currently a second-year Masterโ€™s student in Epidemiology at the University of Rwanda, she holds a Bachelor’s degree in Anesthesia from the same institution. Since 2012, she has served as an anesthesia clinical officer at RBC/SAMU ๐Ÿš‘. Her research includes co-authoring a study on motorcycle crash epidemiology in Kigali and assisting in several projects, including those on anemia in trauma, substance abuse screening, and the impact of COVID-19 on CNS injuries. She is the lead author of a study on mHealth tools in prehospital care, published in the African Journal of Emergency Medicine ๐Ÿ“š.

Publication profile

scupos

Education

Since November 2021, she have been pursuing a Master of Science in Epidemiology at the University of Rwanda’s College of Medicine and Health Sciences ๐Ÿ“š. I previously earned a Bachelor’s degree in Anesthesia from the same university (2015-2017) ๐ŸŽ“. My professional journey includes working as an anesthesia clinical officer at RBC/SAMU (Service dโ€™Aide Medicale dโ€™Urgence) since November 2012 ๐Ÿฅ. Before that, I taught Biology at SAKE Secondary School from January to November 2009 ๐Ÿ‘ฉโ€๐Ÿซ.

Experience

Since January 2019, I’ve been part of the SAMU team collaborating with Utah University to develop and pilot test a mobile health communication tool (912 m Health tool) aimed at enhancing emergency medical services ๐Ÿš‘. I co-authored “Epidemiology and prehospital care of motorcycle crashes in Kigali, Rwanda,” published in November 2019 ๐Ÿ๏ธ. From January to April 2020, I was a research assistant for the Kigali Anemia in Trauma and Transfusion Study at CHUK ๐Ÿฅ. Between August 2020 and September 2021, I assisted in adapting screening instruments for detecting alcohol and drug abuse in Rwanda using ACASI ๐Ÿท๐Ÿ’Š. In late 2021, I contributed to research on the impact of COVID-19 on CNS injury treatment and outcomes ๐Ÿง . Recently, I authored “Challenges and opportunities to improve efficiency and quality of prehospital emergency care using an m Health platform,” published in the African Journal of Emergency Medicine in September 2023 ๐Ÿ“š.

Research focus

Dr. Sharmistha Jayaraman’s research focuses primarily on improving prehospital emergency care and trauma management in low-resource settings, particularly in Rwanda. Her studies encompass various aspects of emergency medical services (EMS), including challenges in locating emergency scenes ๐Ÿš‘, enhancing efficiency through m Health platforms ๐Ÿ“ฑ, neurotrauma management ๐Ÿง , and the epidemiology of trauma, such as motorcycle crashes ๐Ÿ๏ธ. Additionally, Dr. Jayaraman investigates the initial management of traumatic brain injuries and factors influencing HIV testing among emergency patients. Her work aims to improve healthcare outcomes by addressing critical gaps in prehospital care and emergency response systems in Sub-Saharan Africa.

Publication top notes

Challenges Locating the Scene of Emergency: A Qualitative Study of the EMS System in Rwanda

Challenges and opportunities to improve efficiency and quality of prehospital emergency care using an mHealth platform: Qualitative study in Rwanda

Trends in Neurotrauma Epidemiology, Management, and Outcomes during the COVID-19 Pandemic in Kigali, Rwanda

Factors associated with HIV testing among patients seeking emergent injury care in Kigali, Rwanda

The Initial Prehospital Management of Traumatic Brain Injuries in Kigali, Rwanda

The epidemiology and prehospital care of motorcycle crashes in a sub-Saharan African urban center

Data-driven prehospital training to decrease motorcycle crash deaths in a Sub-Saharan African urban center

 

Forbi Preasious Funwi | Environmental Science | Best Researcher Award

Forbi Preasious Funwi | Environmental Science | Best Researcher Award

Mr Forbi Preasious Funwi, Millennium Ecologicam Museum, Cameroon

Forbi Preasious Funwi is a dedicated Cameroonian environmentalist ๐ŸŒฟ with expertise in botany, ecology, and project management. He holds an MSc. in Plant Ecology and a BSc. in Plant Biology from the University of Yaoundรฉ I. With a passion for conservation and sustainability, Forbi has contributed significantly to projects focusing on biodiversity assessment, climate adaptation, and community development. He is adept at project writing and monitoring, evidenced by his involvement in various initiatives, including those funded by the Green Climate Fund and the Global Environment Facility. Forbi is known for his excellent teamwork ๐ŸŒ spirit and innovative approach to environmental challenges.

Publication profile

google scholar

Education

In 2010, earned my Bachelor of Science degree in Plant Biology from the University of Yaoundรฉ I ๐ŸŽ“. This foundational education ignited my passion for understanding the intricate world of plant life. Building upon this knowledge, I pursued a Master of Science degree in Plant Ecology at the same institution, completing it in 2015 ๐ŸŒฟ. This advanced degree equipped me with the expertise to delve deeper into the relationships between plants and their environments. Both academic milestones have shaped my journey, fueling my commitment to contribute meaningfully to the field of ecology and botanical sciences.

Experience

In my journey spanning from 2013 to 2023, I’ve been deeply immersed in various environmental and conservation endeavors across Cameroon. From conducting assessments for hydropower projects to biodiversity surveys in diverse regions, every experience has shaped my understanding and commitment to sustainable practices. Whether it’s collaborating with international organizations like FAO and GIZ or contributing to local initiatives, each project has been a step towards safeguarding Cameroon’s natural heritage ๐ŸŒฟ. As I look back on my journey, I’m filled with gratitude for the opportunities to make a difference in environmental conservation ๐Ÿ™.

Research focus

The research focus of FP Funwi spans across several critical areas of environmental and agricultural studies in Cameroon. With a diverse portfolio ranging from carbon storage potential in agroforestry systems to the management of medicinal plants amidst the COVID-19 pandemic, Funwi’s work demonstrates a keen interest in biodiversity conservation, sustainable land management, and community resilience in the face of environmental challenges. ๐ŸŒฑ Their studies delve into the intricate relationships between human activities, ecosystems, and climate change impacts, providing valuable insights for conservation efforts and the sustainable use of natural resources in Cameroon and beyond.

Publication top notes

Carbon storage potential of cacao agroforestry systems of different age and management intensity

A review of Cameroonian medicinal plants with potentials for the management of the COVID-19 pandemic

Land use and land cover changes in Doume Communal Forest in eastern Cameroon: implications for conservation and sustainable management

Using transect sampling to determine the distribution of some key non-timber forest products across habitat types near Boumba-Bek National Park, South-east Cameroon

Climate change perception and local adaptation of natural resource management in a farming community of Cameroon: A case study

Biodiversity and carbon stock in the SODECAO agroforestry system of center region of Cameroon: Case of talba locality

Diversity, structure and carbon storage potential of the Dja Wildlife Reserve vegetation cover

Indigenous and local knowledgeas a tool for wildlife conservation in the Dja biosphere reserve, cameroon

Community of vascular epiphytes on some phorophytes in the Babadjou Subdivision (Western Cameroon): Case of Bamelo

Family Farming Systems in Northern Central Cameroon: Challenges and Prospects for Food Security

Exploring farmersโ€™ vulnerability and agrobiodiversity in perspective of adaptation in Southern Cameroon

Assessing plant diversity change in logged and unlogged dense semi-deciduous production forest of eastern Cameroon

Mapping carbon stocks in the Dimako communal forest, East-Cameroon

Enhanced local governance as response to threats on vulnerable non-timber forest product species: Case of Garcinia kola Heckel in East Cameroon

Ethnobotanical study and vulnerability of medicinal plants used against the symptoms of COVID-19 in the Lomiรฉ subdivision, East Region of Cameroon

Farm typology and structure of farmer decision making: The case of the production basin of the forest-savannah transition zone, Centre Cameroon Region

Plant diversity of oil palm plantations of different ages and under different farming practices in the Ngoas locality Yaounde-Cameroon

Navigating Climate Challenges: Insights from Smallholder of Mbangassina’s Local Communities in the Centre Cameroon Region

Availability, Natural Regeneration Potential and Ethnoecological Knowledge of Garcinia Kola: Perspectives for Conservation and Sustainable Resource Use in Belabo, Eastern Cameroon

Assessing Plant Diversity Change in Logged and Unlogged Dense Semi-Deciduous Production Forest of Eastern Cameroon

 

 

Md Jamir Uddin | Computational chemistry, Pharmaceutical chemistry | Best Researcher Award

Md Jamir Uddin | Computational chemistry, Pharmaceutical chemistry | Best Researcher Award

Mr Md Jamir Uddin, Red Green Research Centre, Bangladesh

๐Ÿ”ฌ๐Ÿ“š Md. Jamir Uddin, B.Sc. in Chemistry, is a dynamic researcher with a passion for analytical, computational, organic, and biological chemistry. Currently serving as a Research Assistant at the Red Green Research Centre, he specializes in innovative treatments for Alzheimer’s disease, leveraging his expertise in peptide conjugation and enzyme interaction. With a strong academic background from Hajee Mohammad Danesh Science and Technology University, his dedication extends to teaching chemistry at SIOS School and College. Jamir’s multidisciplinary skills encompass computational modeling, research publication, and community service, reflecting his commitment to advancing scientific knowledge and societal well-being.

Publication profile

google scholar

Education

In October 2019, I proudly graduated from Hajee Mohammad Danesh Science and Technology University in Dinajpur, Bangladesh, with a Bachelor of Science in Chemistry ๐ŸŽ“. Throughout my undergraduate journey, I maintained a commendable CGPA of 3.44/4 ๐Ÿ“š. My academic endeavors culminated in a rigorous undergraduate thesis titled “Revolutionizing Environmental Cleanup and Medical Treatment with Nano-Sponges: A Comprehensive Review.” Under the guidance of Professor Dr. Atikul Islam, I delved deep into the promising realm of nano-sponges, exploring their potential in both environmental remediation and medical advancements .

Experience

As a dedicated researcher and educator, I’ve delved into the intricate realms of science, from probing the potential of scorpion venom peptides in combating Alzheimer’s disease to exploring the therapeutic properties of Ganoderma lucidum in cancer treatment. ๐Ÿงช Armed with a fervent curiosity and an eye for detail, I’ve meticulously synthesized complex compounds, optimized reaction parameters, and assessed biological activities both in vitro and in vivo. ๐ŸŒฑ Additionally, my passion extends to nurturing young minds as I facilitate learning experiences, foster critical thinking, and provide invaluable support in classroom settings. ๐Ÿ“š With each endeavor, I strive to contribute meaningfully to the advancement of science and education.

Research focus

MJ Uddin is a versatile researcher whose interests span across various domains of biomedical sciences. With a keen focus on emerging infectious diseases like Ebola and SARS-CoV-2, they delve into virological characteristics, diagnosis, and treatment strategies. Their work extends to the forefront of therapeutic innovations, exploring the potential of extracellular vesicles and aptamer biosensors for drug delivery and detection of endocrine-disrupting chemicals. Additionally, they contribute significantly to combating antifungal resistance, offering insights into new strategies and targets. Uddin’s dedication to understanding and addressing pressing healthcare challenges showcases a commitment to improving global health ๐Ÿงฌ๐Ÿ”ฌ๐Ÿ’Š.