JAWAHAR NATARAJAN | Nano Drug Delivery | Excellence in Research

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Dr. JAWAHAR NATARAJAN | Nano Drug Delivery | Excellence in Research

Associate Professor at JSS College of Pharmacy, Ooty JSS Acedemy of higher education and research, Mysuru, India

Dr. Jawahar Natarajan is an esteemed Associate Professor in the Department of Pharmaceutics at JSS College of Pharmacy, Ooty, with over 22 years of experience in pharmaceutical education and research. He earned his Ph.D. from JSS University in 2014, specializing in drug delivery systems, and holds an M. Pharm in Pharmaceutics. Dr. Natarajan has guided several Ph.D. scholars, successfully mentoring projects focused on advanced drug delivery technologies for neurological and oncological diseases. His extensive research contributions include numerous M. Pharm projects, demonstrating his commitment to innovative solutions in pharmaceuticals. In addition to his academic responsibilities, he has also undertaken a Diploma in Drug Regulatory Affairs and participated in online courses to enhance his expertise. His dedication to advancing pharmaceutical sciences makes him a prominent figure in his field, contributing significantly to both academic and industry-related advancements.

Profile

Education

Dr. Jawahar Natarajan completed his Ph.D. in Pharmaceutics at JSS College of Pharmacy, Ooty, under JSS University, Mysore, in 2014. He also holds a Master of Pharmacy (M.Pharm) degree in Pharmaceutics from K.M. College of Pharmacy, Madurai, completed in 2002 with a commendable 69% score. His academic journey began with a Bachelor of Pharmacy (B.Pharm) from A.K. College of Pharmacy, Krishnan Kovil, in 1999, where he graduated with 61%. In addition to his formal degrees, Dr. Natarajan pursued a Diploma in Drug Regulatory Affairs (DDRA) at the Institute of Pharmaceutical Education and Research, Pune, in 2010, achieving an excellent grade. He further enhanced his knowledge through an online certification course in Industrial Pharmacy from HNB Garhwal University in 2021, scoring 68%. Dr. Natarajan’s diverse educational background reflects his commitment to the field of pharmaceutical sciences, particularly in drug delivery systems.

Professional Experience

Dr. Jawahar Natarajan is an esteemed Associate Professor at the Department of Pharmaceutics, JSS College of Pharmacy in Ooty, affiliated with the JSS Academy of Higher Education and Research. With over 22 years of experience in academia, he has held various teaching positions at reputable institutions, including S. Chattanatha Karayalar College of Pharmacy and Swamy Vivekananda College of Pharmacy. Since joining JSS College of Pharmacy in 2007, Dr. Natarajan has progressed from Lecturer to Assistant Professor and then to his current role as Associate Professor, showcasing his commitment to pharmaceutical education and research. He has guided numerous Ph.D. scholars and M. Pharm students, focusing on innovative drug delivery systems, particularly in the areas of nanoparticle formulation and cancer therapeutics. Dr. Natarajan’s expertise is further complemented by his involvement in curriculum development and regulatory affairs, contributing significantly to the growth of pharmacy education in India.

Research Interest

Dr. Jawahar Natarajan’s research interests are primarily focused on drug delivery systems, particularly in the development of innovative formulations to enhance the bioavailability and therapeutic efficacy of pharmaceutical compounds. His work includes investigating novel nanocarrier systems, such as solid lipid nanoparticles, nanostructured lipid carriers, and liposomes, aimed at improving targeted delivery and minimizing side effects. Dr. Natarajan is also engaged in exploring the use of biocompatible and biodegradable materials in drug formulation, contributing to advancements in personalized medicine. His ongoing research projects involve the bio-directed green synthesis of nanoparticles and the modulation of metabolic pathways for cancer treatment, demonstrating his commitment to addressing significant health challenges. Additionally, Dr. Natarajan actively mentors Ph.D. scholars and oversees various M. Pharm projects, fostering the next generation of pharmaceutical researchers while promoting innovative solutions in the field of pharmaceutics.

Research Skills

Dr. Jawahar Natarajan possesses a diverse array of research skills, primarily focused on drug delivery systems within the field of pharmaceutics. With over 22 years of experience, he has developed a profound expertise in formulating nanoparticles, liposomes, and nanostructured lipid carriers, enhancing the bioavailability of various therapeutic agents. His proficiency extends to guiding Ph.D. scholars and M. Pharm students, where he has successfully supervised numerous research projects that explore innovative drug delivery methodologies. Dr. Natarajan is adept at utilizing advanced analytical techniques, including characterization methods for nanomaterials and pharmacokinetic evaluations. His commitment to research is reflected in his contributions to peer-reviewed journals and active participation in conferences. Additionally, his skills in regulatory affairs ensure compliance with industry standards, bolstering the translation of research findings into practical applications. Overall, Dr. Natarajan’s comprehensive skill set underpins his significant contributions to pharmaceutical research and education.

Award and Recognition

Dr. Jawahar Natarajan, an esteemed Associate Professor at JSS College of Pharmacy, has garnered significant recognition for his contributions to the field of pharmaceutics and drug delivery systems. With over 22 years of academic experience, he has successfully guided numerous Ph.D. and M. Pharm. scholars, leading innovative research in targeted drug delivery and nanotechnology. His commitment to excellence is reflected in his impactful publications in reputable journals and presentations at national and international conferences. Dr. Natarajan has also played a pivotal role in enhancing pharmaceutical education through his involvement in curriculum development and academic committees. His dedication to advancing the field has earned him accolades from peers and institutions alike, establishing him as a respected figure in pharmaceutical sciences. Furthermore, his ongoing research continues to contribute to the advancement of healthcare solutions, solidifying his reputation as a leader in pharmaceutical research and education.

Conclusion

Jawahar N. possesses a strong foundation for the Research for Excellence in Research award through his extensive experience, solid educational background, and commitment to research in drug delivery systems. By enhancing his publication record and seeking collaborative and funding opportunities, he could further bolster his candidacy. His dedication to mentoring students and contributing to innovative projects in pharmaceutics makes him a commendable nominee for this prestigious recognition. Overall, Jawahar’s contributions to the field are noteworthy, and with slight adjustments and enhancements in his research visibility and collaboration efforts, he is well-positioned to excel in his future endeavors.

Publication Top Notes
  1. Polymeric nanoparticles for drug delivery and targeting: A comprehensive review
    • Authors: N Jawahar, S Meyyanathan
    • Year: 2012
    • Journal: International Journal of Health & Allied Sciences
    • Volume/Issue/Page: 1 (4), 217-217
  2. Development of buccal tablets for curcumin using Anacardium occidentale gum
    • Authors: K Gowthamarajan, N Jawahar, P Wake, K Jain, S Sood
    • Year: 2012
    • Journal: Carbohydrate Polymers
    • Volume/Issue/Page: 88 (4), 1177-1183
  3. Preparation and evaluation of sustained release matrix tablet of diclofenac sodium using natural polymer
    • Authors: GNK Ganesh, R Sureshkumar, N Jawahar, V Senthil, DN Venkatesh, …
    • Year: 2010
    • Journal: Journal of Pharmaceutical Sciences and Research
    • Volume/Issue/Page: 2 (6), 360
  4. Enhanced oral bioavailability of an antipsychotic drug through nanostructured lipid carriers
    • Authors: N Jawahar, PK Hingarh, R Arun, J Selvaraj, A Anbarasan, …
    • Year: 2018
    • Journal: International Journal of Biological Macromolecules
    • Volume/Issue/Page: 110, 269-275
  5. Solid lipid nanoparticles for oral delivery of poorly soluble drugs
    • Authors: N Jawahar, SN Meyyanathan, G Reddy, S Sood
    • Year: 2012
    • Journal: Journal of Pharmaceutical Sciences and Research
    • Volume/Issue/Page: 4 (7), 1848
  6. Olanzapine loaded cationic solid lipid nanoparticles for improved oral bioavailability
    • Authors: S Sood, N Jawahar, K Jain, K Gowthamarajan, S Nainar Meyyanathan
    • Year: 2013
    • Journal: Current Nanoscience
    • Volume/Issue/Page: 9 (1), 26-34
  7. Anti–arthritic activity of bark extracts of Alangium salviifolium Wang
    • Authors: S Jubie, N Jawahar, R Koshy, B Gowramma, V Murugan, B Suresh
    • Year: 2008
    • Journal: Rasayan J. Chem
    • Volume/Issue/Page: 1 (3), 433-436
  8. Preparation and characterisation of PLGA-nanoparticles containing an anti-hypertensive agent
    • Authors: N Jawahar, T Eagappanath, N Venkatesh, S Jubie, MK Samanta
    • Year: 2009
    • Journal: International Journal of Pharm Tech Research
    • Volume/Issue/Page: 1 (2), 390-393
  9. Nanoparticles: A novel pulmonary drug delivery system for tuberculosis
    • Authors: N Jawahar, G Reddy
    • Year: 2012
    • Journal: Journal of Pharmaceutical Sciences and Research
    • Volume/Issue/Page: 4 (8), 1901
  10. Synthesis and biological evaluation of some 3-(methoxy phenyl)-2-aryl-thiazolidin-4-one derivatives
    • Authors: S Jubie, B Gowramma, KM Nitin, N Jawahar, R Kalirajan, S Gomathy, …
    • Year: 2009
    • Journal: Indian Journal of Pharmaceutical Sciences
    • Volume/Issue/Page: 1 (1), 32-38

 

 

 

 

Rifat Capan | Physics and Astronomy | Best Researcher Award

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Prof Dr. Rifat Capan | Physics and Astronomy | Best Researcher Award

Had of Atomic and Molecular Physics at Balikesir university, Turkey

Prof. Dr. Rifat Çapan is a distinguished physicist at the University of Balıkesir, specializing in pyroelectric heat sensors, gas sensors for environmental applications, and organic thin film fabrications. He completed his education at Hacettepe University and the University of Sheffield, where he earned his PhD. Throughout his career, he has published 144 articles and authored two books, receiving numerous accolades, including the Leverhulme Visiting Fellowship and International Scientist of the Year 2004. Prof. Çapan has held various leadership roles, including establishing the first Thin Film and Gas Sensor Research Laboratory at his university. He actively collaborates internationally, serving as the Turkey project coordinator for European Union initiatives. His significant contributions to physics and dedication to research and education make him a highly respected figure in his field, reflecting a commitment to advancing scientific knowledge and fostering innovation.

Profile

Education

Prof. Dr. Rifat Çapan completed his primary, secondary, and high school education in his hometown of Yozgat, Turkey. He pursued higher education at Hacettepe University in Ankara, where he graduated in 1989 with a degree in Physics Teaching from the Faculty of Education. Following his graduation, he worked as a research assistant in the same department from 1989 to 1993 while completing his Master’s degree in Physics Engineering at Hacettepe University between 1989 and 1991. Prof. Çapan then advanced his academic career by moving to the University of Sheffield in the UK to pursue his doctoral studies in Physics, representing Balıkesir University. He successfully earned his PhD in 1998 and returned to Balıkesir University, where he has since made significant contributions to research and education in the field of physics. His educational background laid a strong foundation for his subsequent research endeavors and leadership roles in academia.

Professional Experience

Prof. Dr. Rifat Çapan has a distinguished professional experience primarily at the University of Balıkesir, where he has served since 1993. He began his academic journey as a research assistant in the Department of Physics at Hacettepe University, later completing his master’s and PhD at the same institution and the University of Sheffield, respectively. After returning to Balıkesir University, he rose through the ranks from Assistant Professor to Associate Professor and ultimately became a full Professor in 2007. Throughout his career, Prof. Çapan has held various administrative roles, including Head of the Physics Department, Deputy Head of the Department, and Manager of the Scientific Research Projects Unit. He established the Thin Film and Gas Sensor Research Laboratory and has been actively involved in several research projects, securing funding from Turkish Research Council (TÜBİTAK). His leadership and contributions have significantly advanced the university’s research profile and fostered international collaborations.

Research Interest

Prof. Dr. Rifat Çapan’s research interests primarily focus on the development and characterization of advanced sensor technologies, specifically pyroelectric heat sensors and gas sensors for environmental applications. His work involves the fabrication of organic thin films and their subsequent analysis using structural, electrical, and optical techniques. Prof. Çapan explores the properties and mechanisms of pyroelectric materials, contributing to the enhancement of sensor sensitivity and efficiency. His research is vital for addressing environmental challenges, particularly in monitoring air quality and detecting harmful gases. Additionally, he is engaged in projects that involve molecular engineering of sensor materials, aiming to create innovative solutions for industrial and scientific applications. With a strong emphasis on interdisciplinary collaboration, Prof. Çapan actively seeks to integrate his research with other fields, enhancing the applicability and impact of his findings within the scientific community and beyond.

Research Skills

Prof. Dr. Rifat Çapan possesses a diverse set of research skills that significantly contribute to his expertise in physics. His proficiency in pyroelectric heat sensors and gas sensors is supported by a strong foundation in structural, electrical, and optical characterizations, enabling him to innovate in sensor technology for environmental applications. Dr. Çapan’s experience in organic thin film fabrication enhances his ability to develop novel materials with specific functionalities. His adeptness in experimental design and data analysis ensures rigorous methodologies in his research projects. Additionally, he demonstrates strong collaboration skills, evidenced by his coordination of international projects and partnerships with various institutions. His engagement in mentorship allows him to guide emerging researchers, fostering a culture of inquiry and innovation. Dr. Çapan’s ability to communicate complex concepts clearly through publications and presentations further solidifies his role as a leading figure in his field.

Award and Recognition

Prof. Dr. Rifat Çapan has received numerous prestigious awards and recognitions throughout his academic career, reflecting his significant contributions to the field of physics. He was honored with the Overseas Research Student (ORS) award during his doctoral studies at the University of Sheffield, underscoring his commitment to research excellence. In 2004, he was named International Scientist of the Year by the International Biographical Centre in Cambridge, UK, a testament to his global recognition in the scientific community. Additionally, he received the Leverhulme Visiting Fellowship, allowing him to conduct research as a visiting professor at Sheffield Hallam University. His accolades also include the Turkish Physical Society Honor Award in 2021 and the Balıkesir Radio BRT award for Scientists of the Year in 2007. These honors highlight his impactful research in pyroelectric heat sensors and gas sensors, establishing him as a leading figure in his field and a respected mentor for future generations of scientists.

Conclusion

Prof. Dr. Rifat Çapan is a deserving candidate for the Best Researcher Award due to his extensive contributions to the field of physics, particularly in sensor technology. His accomplishments in research, teaching, and administrative roles underscore his dedication and leadership in the scientific community. By addressing areas for improvement, he can further enhance his impact, ensuring that his work continues to contribute significantly to both academia and society. Recognizing him with this award would not only honor his past achievements but also encourage his future endeavors in research and mentorship.

Publication Top Notes

  1. Sensor parameters and adsorption behaviour of rhodamine-based polyacrylonitrile (PAN) nanofiber against dichloromethane vapour
    • Authors: Capan, R., Capan, I., Bayrakci, M.
    • Year: 2024
    • Journal: Microchemical Journal
    • Volume/Issue/Page: 207, 111806
    • Citations: 0
  2. Spin-coated films of calix[4]resorcinarenes as sensors for chlorinated solvent vapours
    • Authors: Çapan, R., Çapan, İ., Davis, F., Ray, A.K.
    • Year: 2024
    • Journal: Journal of Materials Science: Materials in Electronics
    • Volume/Issue/Page: 35(25), 1701
    • Citations: 0
  3. Heterocyclic-based Schiff base material designed as optochemical sensor for the sensitive detection of chlorinated solvent vapours
    • Authors: Halay, E., Capan, I., Capan, R., Ay, E., Acikbas, Y.
    • Year: 2024
    • Journal: Research on Chemical Intermediates
    • Volume/Issue/Page: 50(9), pp. 4579–4593
    • Citations: 0
  4. Rhodamine-Based Electrospun Polyacrylonitrile (PAN) Nanofiber Sensor for the Detection of Chlorinated Hydrocarbon Vapors
    • Authors: Capan, R., Capan, I., Bayrakci, M.
    • Year: 2024
    • Journal: ACS Applied Polymer Materials
    • Volume/Issue/Page: 6(13), pp. 7500–7511
    • Citations: 2
  5. Sensing Volatile Pollutants with Spin-Coated Films Made of Pillar[5]arene Derivatives and Data Validation via Artificial Neural Networks
    • Authors: Kursunlu, A.N., Acikbas, Y., Yilmaz, C., Buyukkabasakal, K., Senocak, A.
    • Year: 2024
    • Journal: ACS Applied Materials and Interfaces
    • Volume/Issue/Page: 16(24), pp. 31851–31863
    • Citations: 1
  6. Sensing volatile organic compounds with CVD graphene: insights from quartz crystal microbalance and surface plasmon resonance studies
    • Authors: Selvi, H., Capan, I., Capan, R., Acikbas, Y.
    • Year: 2024
    • Journal: Journal of Materials Science: Materials in Electronics
    • Volume/Issue/Page: 35(18), 1268
    • Citations: 0
  7. Chloroform sensing properties of Langmuir-Blodgett thin films of Zn(II)phthalocyanine containing 26-membered tetraoxadithia macrocycle groups
    • Authors: Capan, I., Capan, R., Acikbas, Y., Kabay, N., Gök, Y.
    • Year: 2023
    • Journal: Optik
    • Volume/Issue/Page: 294, 171429
    • Citations: 1
  8. A new approach for the adsorption kinetics using surface plasmon resonance results
    • Authors: Çapan, R., Çapan, İ., Davis, F.
    • Year: 2023
    • Journal: Sensors and Actuators B: Chemical
    • Volume/Issue/Page: 394, 134463
    • Citations: 9
  9. Metal sulfide sub-nanometer clusters formed within calix(8)arene Langmuir-Blodgett films
    • Authors: Ozkaya, C., Abu-Ali, H., Nabok, A., Hammond, D., Capan, R.
    • Year: 2023
    • Journal: Thin Solid Films
    • Volume/Issue/Page: 782, 140024
    • Citations: 1
  10. Electrospun polyacrylonitrile (PAN)/polypyrrole (PPy) nanofiber-coated quartz crystal microbalance for sensing volatile organic compounds
    • Authors: Yagmurcukardes, N., Ince Yardimci, A., Yagmurcukardes, M., Capan, R., Acikbas, Y.
    • Year: 2023
    • Journal: Journal of Materials Science: Materials in Electronics
    • Volume/Issue/Page: 34(27), 1869
    • Citations: 3

 

 

 

 

Abhishek Jha| Pharmacology | Best Researcher Award

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Mr. Abhishek Jha|Pharmacology|Best Researcher Award

Mr. Abhishek Jha, Dr. D. Y. Patil Institute of Pharmaceutical Sciences and Research, India.

Abhishek Jha is a final-year doctoral candidate at the Indian Institute of Technology (BHU), Varanasi, specializing in Pharmaceutical Engineering and Technology. His research focuses on developing nanomedicine-based therapeutic strategies, particularly for breast and lung cancer treatments. Abhishek has hands-on experience with a range of sophisticated instruments, including HPLC, SEM, and fluorescence microscopy, and is proficient in various software used for data analysis and drug formulation. He has contributed to multiple high-impact publications in areas such as targeted drug delivery, nanofiber-based wound healing, and tuberculosis therapy. His projects involve innovative approaches, including redox-responsive nanocarriers and pulmonary nanocrystals, aimed at improving the efficacy and specificity of cancer treatments. With a passion for research and mentoring, Abhishek has guided several undergraduate and postgraduate students. His work, recognized in peer-reviewed journals, reflects his commitment to advancing pharmaceutical sciences, making him a strong contender for research excellence awards.

Profile

Education

Abhishek Jha is a dedicated scholar with a robust educational background in pharmaceutical sciences. He is currently pursuing a Ph.D. in Pharmaceutical Engineering and Technology at the prestigious Indian Institute of Technology (IIT-BHU), Varanasi. His doctoral research, initiated in July 2019, focuses on innovative strategies for nanomedicine-based treatments for breast cancer, with a particular emphasis on tumor-targeted drug delivery systems. Prior to this, Abhishek earned his Master of Pharmacy (M.Pharm) from the same institution in June 2019, specializing in Pharmaceutics. During his postgraduate studies, he achieved an impressive C.G.P.A. of 9.43, showcasing his academic excellence. His foundation in the field was laid during his Bachelor of Pharmacy (B.Pharm) studies at KIET School of Pharmacy, affiliated with AKTU, Ghaziabad, where he graduated with a strong 85.8% in 2017. Abhishek’s education reflects his deep commitment to pharmaceutical research and innovation, laying the groundwork for his promising career in academia and industry.

Professional Experience

Abhishek Jha is a Senior Research Fellow at the Indian Institute of Technology (BHU), Varanasi, where he has been working since July 2019. He is currently pursuing his doctoral degree under the supervision of Prof. Brahmeshwar Mishra, focusing on developing nanomedicine-based strategies for breast cancer therapy. His research includes creating redox-responsive, self-assembled systems for targeted drug delivery and localized breast cancer treatments using dissolving microneedles. Abhishek has extensive experience in the development of nanofibrous matrices for wound healing and tissue regeneration, and has mentored over 20 M. Tech and B. Tech students. Prior to his doctoral research, he worked as a Post-graduate Research Scholar at IIT (BHU) from January 2018 to June 2019, where he gained expertise in fabricating polymeric nanoparticles, micelles, liposomes, and hydrogels, and optimized various disease models for lung and breast cancer, diabetes, and infections in rats, applying QbD approaches for formulation optimization.

Research Interest

Abhishek Jha’s research interests lie at the intersection of pharmaceutical sciences and nanomedicine, focusing on innovative drug delivery systems for targeted cancer therapies. His work emphasizes the development of nanocarriers that enhance the selective accumulation of therapeutics in tumor sites, particularly in the treatment of breast and lung cancers. Jha is particularly skilled in designing redox-responsive self-assembled systems and microneedle technologies to facilitate localized drug delivery. Additionally, he investigates nanofibrous scaffolds with wound healing and anti-infective properties, aiming to improve patient outcomes in chronic diabetic wounds. His extensive experience in formulating various nanomedicines, including polymeric nanoparticles, liposomes, and hydrogels, showcases his commitment to advancing drug delivery approaches. Through his research, Jha aims to contribute significantly to the fields of pharmaceutics and biomedical engineering, ultimately improving therapeutic efficacy and patient care in complex disease management.

Research Skills

Abhishek Jha possesses a robust set of research skills that significantly contribute to his expertise in pharmaceutical engineering and technology. His hands-on experience with sophisticated instruments such as High-Performance Liquid Chromatography, Electron Microscopes, and Atomic Force Microscopes demonstrates his proficiency in advanced analytical techniques. Abhishek’s adeptness in interpreting various spectra for drug characterization, including Differential Scanning Calorimetry and Nuclear Magnetic Resonance spectroscopy, showcases his comprehensive understanding of pharmaceutical formulations. He has successfully developed nanomedicine-based strategies for cancer treatment, exhibiting strong problem-solving skills and innovative thinking. His involvement in mentoring over 20 M. Tech and B. Tech students highlights his leadership abilities and commitment to collaborative research. Additionally, Abhishek’s proficiency in software tools like JMP and Minitab enhances his capacity for data analysis and interpretation. Overall, his combination of technical expertise, mentoring experience, and analytical skills positions him as a valuable asset in the field of pharmaceutical research.

Award and Recognition

Abhishek Jha, a promising final-year doctoral candidate at the Indian Institute of Technology (BHU), Varanasi, has garnered notable recognition for his innovative research in pharmaceutical engineering and drug delivery systems. His work on developing nanomedicine-based strategies for breast cancer treatment has been published in prestigious journals, earning him accolades in the scientific community. Abhishek’s contributions include developing targeted therapies and biomaterials for chronic wound healing, showcasing his commitment to addressing complex medical challenges. He has actively engaged in mentoring over 20 undergraduate and graduate students, reflecting his dedication to fostering the next generation of researchers. His publications in high-impact journals, alongside collaborations with esteemed institutions, further underscore his reputation as a rising star in pharmaceutical sciences. Abhishek’s achievements have not only positioned him as a thought leader in his field but also earned him recognition within academic circles for his innovative approach to drug delivery and cancer therapy.

Conclusion

Abhishek Jha is a highly capable researcher with exceptional skills in nanomedicine and drug delivery systems. His academic excellence, technical proficiency, and extensive publication record position him as a strong contender for the Best Researcher Award. By broadening his research scope and further engaging with industry and public platforms, he could reach new heights in his career, making him a well-deserved candidate for recognition in his field.

Publication Top Notes

  • Electrospun nanofiber-based drug delivery platform: advances in diabetic foot ulcer management
    DR Madhukiran, A Jha, M Kumar, G Ajmal, GV Bonde, B Mishra
    Expert Opinion on Drug Delivery 18 (1), 25-42, 2021.
  • Targeted drug nanocrystals for pulmonary delivery: a potential strategy for lung cancer therapy
    M Kumar, A Jha, M Dr, B Mishra
    Expert Opinion on Drug Delivery 17 (10), 1459-1472, 2020.
  • Mannose receptor targeted bioadhesive chitosan nanoparticles of clofazimine for effective therapy of tuberculosis
    DM Pawde, MK Viswanadh, AK Mehata, R Sonkar, S Poddar, AS Burande, …
    Saudi Pharmaceutical Journal 28 (12), 1616-1625, 2020.
  • DNA biodots based targeted theranostic nanomedicine for the imaging and treatment of non-small cell lung cancer
    A Jha, MK Viswanadh, AS Burande, AK Mehata, S Poddar, K Yadav, …
    International Journal of Biological Macromolecules 150, 413-425, 2020.
  • Gold liposomes for brain-targeted drug delivery: Formulation and brain distribution kinetics
    R Sonkar, A Jha, MK Viswanadh, AS Burande, DM Pawde, KK Patel, …
    Materials Science and Engineering: C 120, 111652, 2021.
  • Novel redox-sensitive thiolated TPGS based nanoparticles for EGFR targeted lung cancer therapy
    MK Viswanadh, N Agrawal, S Azad, A Jha, S Poddar, SK Mahto, …
    International Journal of Pharmaceutics 602, 120652, 2021.
  • Formulation and In Vivo Efficacy Study of Cetuximab Decorated Targeted Bioadhesive Nanomedicine for Non-Small-Cell Lung Cancer Therapy
    MK Viswanadh, Vikas, A Jha, SK Reddy Adena, AK Mehata, V Priya, …
    Nanomedicine 15 (24), 2345-2367, 2020.
  • Treatment of H. pylori infection and gastric ulcer: Need for novel Pharmaceutical formulation
    A Gupta, S Shetty, S Mutalik, K Nandakumar, EM Mathew, A Jha, B Mishra, …
    Heliyon 9 (10), 2023.
  • Nanocarriers for tuberculosis therapy: design of safe and effective drug delivery strategies to overcome the therapeutic challenges
    K Sarkar, M Kumar, A Jha, K Bharti, M Das, B Mishra
    Journal of Drug Delivery Science and Technology 67, 102850, 2022.
  • Advances in lipid-based pulmonary nanomedicine for the management of inflammatory lung disorders
    M Kumar, A Jha, K Bharti, G Parmar, B Mishra
    Nanomedicine 17 (12), 913-934, 2022.
  • Myricetin encapsulated chitosan nanoformulation for management of type 2 diabetes: preparation, optimization, characterization and in vivo activity
    M Upadhyay, RV Hosur, A Jha, K Bharti, PS Mali, AK Jha, B Mishra, …
    Biomaterials Advances 153, 213542, 2023.
  • DNA-Based Nanostructured Platforms as Drug Delivery Systems
    M Kumar, A Jha, B Mishra
    Chem & Bio Engineering 1 (3), 179-198, 2024.
  • Enhanced in vitro therapeutic efficacy of triphenyltin (IV) loaded vitamin E TPGS against breast cancer therapy
    M Singh, NK Rana, MS Muthu, A Jha, TSB Baul, B Koch
    Materials Today Communications 31, 103256, 2022.
  • Biopolymer-based tumor microenvironment-responsive nanomedicine for targeted cancer therapy
    A Jha, M Kumar, K Bharti, M Manjit, B Mishra
    Nanomedicine 19 (7), 633-651, 2024.
  • Fabrication of gelatin coated polycaprolactone nanofiber scaffolds co-loaded with luliconazole and naringenin for treatment of Candida infected diabetic wounds
    M Manjit, K Kumar, M Kumar, A Jha, K Bharti, P Tiwari, R Tilak, V Singh, …
    International Journal of Biological Macromolecules 261, 129621, 2024.
  • Formulation and characterization of polyvinyl alcohol/chitosan composite nanofiber co-loaded with silver nanoparticle & luliconazole encapsulated poly lactic-co-glycolic acid …
    M Manjit, M Kumar, A Jha, K Bharti, K Kumar, P Tiwari, R Tilak, V Singh, …
    International Journal of Biological Macromolecules 258, 128978, 2024.
  • Marine biopolymers for transdermal drug delivery
    M Kumar, A Jha, B Mishra
    Marine Biomaterials: Drug Delivery and Therapeutic Applications, 157-207, 2022.
  • Marine Biopolymer-Based Anticancer Drug Delivery Systems
    A Jha, M Kumar, B Mishra
    Marine Biomaterials: Drug Delivery and Therapeutic Applications, 351-401, 2022.
  • Metronidazole Loaded Polycaprolactone-Carbopol Blends Based Biodegradable Intrapocket Dental Film for Local Treatment of Periodontitis
    N Dhedage, G Khan, G Ajmal, M Kumar, A Jha, B Mishra
    Drug Delivery Letters 11 (1), 34-43, 2021.
  • Lipid-coated nanocrystals of paclitaxel as dry powder for inhalation: Characterization, in-vitro performance, and pharmacokinetic assessment
    M Kumar, A Jha, K Bharti, M Manjit, P Kumbhar, V Dhapte-Pawar, …
    Colloids and Surfaces B: Biointerfaces 237, 113865, 2021.

Tamal Pramanick | Scientific Computing |Best Researcher Award

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Assist Prof Dr. Tamal Pramanick | Scientific Computing |Best Researcher Award

Assist Prof Dr/Tamal Pramanick, National Institute of Technology (NIT) Calicut, India.

Dr. Tamal Pramanick is an Assistant Professor in the Department of Mathematics at NIT Calicut, specializing in numerical methods for partial differential equations, particularly finite element methods. He holds a PhD from IIT Guwahati, where his research focused on the development of two-scale composite finite element methods for parabolic problems in convex and nonconvex polygonal domains. Dr. Pramanick has received several prestigious fellowships, including the NBHM Post-Doctoral Fellowship at IISc Bangalore. His research has been published in numerous SCI-indexed journals, and he has been an invited speaker at international conferences. Dr. Pramanick is actively involved in guiding postgraduate dissertations and organizing academic events such as workshops and webinars. He has also secured research grants for projects on fractional order diffusion equations and nonlinear thermistor equations. His contributions to applied mathematics and his role in fostering academic collaboration make him a distinguished scholar in his field.

Profile

Education

The educational journey began with a Secondary education from the West Bengal Board of Secondary Education in 2006, achieving a percentage of 71.38%. Following that, Higher Secondary education was completed from the West Bengal Council of Higher Secondary Education in 2008, with a percentage of 70.29%. The pursuit of higher education continued with a B.Sc. in Mathematics from the University of Kalyani, West Bengal, from 2008 to 2011, securing a percentage of 70.75%. This was followed by an M.Sc. in Mathematics & Computing from the Indian Institute of Technology (IIT) Guwahati, where the candidate achieved a CPI of 8.23 from 2011 to 2013. The academic path culminated in a Ph.D. from IIT Guwahati, awarded on February 25, 2019, with a CPI of 8.25 for the coursework, focusing on “Two-Scale Composite Finite Element Method for Parabolic Problems in Convex and Nonconvex Polygonal Domains.”

Professional Experience

Dr. Tamal Pramanick is an accomplished Assistant Professor in the Department of Mathematics at NIT Calicut, serving since March 2020. He has a rich background in applied mathematics, with expertise in finite element methods and their applications in solving complex mathematical problems. Dr. Pramanick completed his PhD from the Indian Institute of Technology Guwahati in 2019, focusing on two-scale composite finite element methods for parabolic problems in convex and nonconvex domains. He has held a prestigious post-doctoral fellowship from the National Board of Higher Mathematics (NBHM) at IISc Bangalore. His professional contributions include serving as a reviewer, PhD selection committee member, course coordinator, and departmental seminar coordinator at NIT Calicut. Dr. Pramanick has led several research projects sponsored by national agencies and organized numerous conferences, workshops, and faculty development programs. His work is published in reputed journals, and he regularly delivers invited talks at international conferences and workshops.

Research Interest

Dr. Tamal Pramanick’s research interests lie in the field of applied mathematics, with a focus on numerical methods for solving partial differential equations, particularly the Finite Element Method (FEM) and its applications. His work explores the development and analysis of two-scale composite finite element methods for complex parabolic and elliptic problems in convex and nonconvex polygonal domains. Dr. Pramanick is particularly interested in improving the accuracy and efficiency of numerical solutions for nonlinear and semilinear parabolic equations, with applications spanning diverse fields such as thermistor equations, heat transfer, and diffusion processes. His research also extends to fractional order diffusion equations and mathematical modeling of physical systems. Through his interdisciplinary approach, Dr. Pramanick aims to contribute to advancements in computational mathematics and its practical applications in engineering, physics, and other sciences, making his work highly relevant to both academic research and industrial problem-solving.

Research Skills

Dr. Tamal Pramanick is a proficient researcher specializing in applied mathematics, particularly in the finite element method for complex problems in nonconvex polygonal domains. His expertise spans numerical analysis, mathematical modeling, and the development of error estimates for nonlinear parabolic equations. Dr. Pramanick has demonstrated advanced skills in multi-scale composite finite element methods, with significant contributions to solving fractional-order diffusion equations and semilinear parabolic problems. His research includes high-level computational simulations and analytical techniques for addressing real-world mathematical challenges. He has successfully secured research funding for multiple projects, including Faculty Research Seed Grants and prestigious National Board of Higher Mathematics (NBHM) projects. Additionally, Dr. Pramanick’s experience extends to guiding postgraduate dissertations on topics like heat equations and delay differential equations, while his prolific publications in SCI-indexed journals further attest to his research caliber. His role as an invited speaker and coordinator for various academic events reflects his strong leadership and collaborative research capabilities

Award and Recognition

Dr. Tamal Pramanick, an accomplished Assistant Professor at NIT Calicut, has received multiple awards and recognition for his outstanding contributions to mathematics and computational science. He qualified the prestigious Joint Admission Test for M.Sc. (JAM) in 2011 and the Graduate Aptitude Test in Engineering (GATE) in 2013, both in Mathematics. During his academic journey at IIT Guwahati, he was a recipient of the Merit cum Means Scholarship and awarded Junior and Senior Research Fellowships (JRF and SRF) from 2013 to 2018. In 2019, Dr. Pramanick achieved the National Eligibility Test (NET) for Lectureship and was selected for the National Board of Higher Mathematics (NBHM) Postdoctoral Fellowship. His innovative research has earned him prestigious grants, including a Faculty Research Seed Grant and NBHM-funded projects, advancing his work in finite element methods and nonlinear equations. His invited talks at international conferences further highlight his scholarly impact on the global stage.

Conclusion

 Dr. Tamal Pramanick is a highly qualified candidate with a solid track record of research, teaching, and leadership. His achievements in securing grants, organizing academic programs, and contributing to mathematical research through high-impact publications position him as a strong contender for the Best Researcher Award. With minor improvements in international collaboration and interdisciplinary research, his candidacy would be even stronger.

Publication Top Notes

  • Error estimates for two-scale composite finite element approximations of parabolic equations with measure data in time for convex and nonconvex polygonal domains

Authors: T. Pramanick, R.K. Sinha

Citation: Applied Numerical Mathematics, 143, 112-132

Year: 2019

  • Two-scale composite finite element method for parabolic problems with smooth and nonsmooth initial data

Authors: T. Pramanick, R.K. Sinha

Citation: Journal of Applied Mathematics and Computing, 58, 469-501

Year: 2018

  • A hybrid high-order method for quasilinear elliptic problems of nonmonotone type

Authors: T. Gudi, G. Mallik, T. Pramanick

Citation: SIAM Journal on Numerical Analysis, 60(4), 2318-2344

Year: 2022

  • Composite Finite Element Approximation for Parabolic Problems in Nonconvex Polygonal Domains

Authors: T. Pramanick, R.K. Sinha

Citation: Computational Methods in Applied Mathematics, 20(2), 361-378

Year: 2020

  • Composite finite element approximation for nonlinear parabolic problems in nonconvex polygonal domains

Authors: T. Pramanick, R.K. Sinha

Citation: Numerical Methods for Partial Differential Equations, 34(6), 2316-2335

Year: 2018

  • Adaptation of the composite finite element framework for semilinear parabolic problems

Authors: A. Anand, T. Pramanick

Citation: Journal of Numerical Analysis and Approximation Theory, 53(1), 26-53

Year: 2024

  • Error estimates for finite element approximations of nonlinear parabolic problems in nonconvex polygonal domains

Authors: T. Pramanick, S. Mahata, R.K. Sinha

Citation: Advances in Mathematics: Scientific Journal, 9(9), 6513-6524

Year: 2020

  • Two scale composite finite element method for parabolic problems in convex and nonconvex polygonal domains

Authors: T. Pramanick

Citation: Guwahati

Year: 2019

  • Managing error estimates for semidiscrete finite element approximations of semilinear parabolic equations in a nonconvex polygon

Authors: T. Pramanick

Year: 2018

  • Adaptation of a variant of finite element method for the evolution equation in nonconvex domain

Authors: A. Anand, T. Pramanick

Event: 2025 Joint Mathematics Meetings (JMM 2025)

  • Composite finite element method implementation for nonlinear parabolic problems in nonconvex domains

Authors: T. Pramanick, R.K. Sinha

Year: Not specified in your list

  • Fully discrete finite element approximations of semilinear parabolic equations in a nonconvex polygon

Authors: T. Pramanick, R.K. Sinha

Year: Not specified in your list

Kyu Sang Lee | Pathology | Best Researcher Award

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Prof Dr. Kyu Sang Lee | Pathology | Best Researcher Award

Professor at Seoul National University Bundang Hospital, South Korea

Dr. Kyu Sang Lee is an Associate Professor in the Department of Pathology at Seoul National University Bundang Hospital, South Korea. He holds an MD from Eulji University and a PhD in Translational Medicine from Seoul National University College of Medicine. With extensive experience in pathology, Dr. Lee has contributed significantly to cancer research, publishing numerous high-impact articles in esteemed journals. He is recognized for his innovative work, including the development of an AI-powered PD-L1 combined positive score analyzer, which has implications for cancer diagnostics. Dr. Lee has received multiple awards for his research presentations, showcasing his peers’ acknowledgment of his contributions. Additionally, he is an active member of several professional pathology societies, reflecting his commitment to advancing the field. As a dedicated educator, he plays a vital role in training future pathologists, making him a prominent figure in the pathology community.

Professional Profiles:

Education

Dr. Kyu Sang Lee has an impressive educational background that underscores his expertise in the field of pathology. He earned his Doctor of Medicine (M.D.) degree from Eulji University, College of Medicine, in Daejeon, Korea, in 2008. Following this, he pursued further specialization in neuroscience, obtaining a Master of Science (M.S.) degree from Seoul National University College of Medicine in 2012. Dr. Lee continued to advance his academic credentials by completing his Doctor of Philosophy (Ph.D.) in Translational Medicine at the same institution in 2018. His educational journey has equipped him with a comprehensive understanding of both clinical and research aspects of pathology, providing a solid foundation for his subsequent roles in academia and clinical practice. This rigorous training has enabled Dr. Lee to make significant contributions to the field, particularly in cancer research and diagnostics, positioning him as a leader in his discipline.

Experiences

Dr. Kyu Sang Lee is an accomplished academic and medical professional currently serving as an Associate Professor in the Department of Pathology at Seoul National University Bundang Hospital. His career began with a residency in Pathology at Seoul National University Hospital, where he developed a strong foundation in diagnostic pathology. He advanced through various roles, including Instructor and Fellow, before becoming an Assistant Professor in 2017. Dr. Lee further expanded his expertise as a Visiting Professor at the University of California, Los Angeles, from 2021 to 2023. His research has focused on translational medicine and cancer pathology, with significant contributions to artificial intelligence applications in diagnostics. Dr. Lee has published extensively, including notable works on urothelial carcinoma and glioblastoma, and has received multiple awards for his research presentations at international conferences. His professional experience reflects a commitment to advancing pathology through research, education, and clinical practice.

Research Interest

Dr. Kyu Sang Lee’s research interests lie primarily in the field of pathology, with a strong focus on cancer diagnostics and therapeutics. He is particularly engaged in exploring the molecular and cellular mechanisms underlying various cancers, including glioblastoma and colorectal cancer. His work involves utilizing advanced techniques such as next-generation sequencing and artificial intelligence to improve the accuracy and efficiency of cancer diagnosis, particularly in identifying biomarkers for targeted therapies. Dr. Lee is also interested in the implications of immune checkpoint proteins, such as PD-L1, in tumor biology and their potential as therapeutic targets. Additionally, he studies the clinicopathologic characteristics of different tumor types, aiming to enhance personalized medicine approaches. His commitment to translational research ensures that his findings have practical applications in clinical settings, ultimately contributing to improved patient outcomes and advancing the field of oncology.

Teaching Experience

Dr. Kyu Sang Lee has extensive teaching experience in the field of pathology, contributing significantly to the education and training of medical students and residents at Seoul National University Bundang Hospital. As an Associate Professor, he teaches both undergraduate and graduate courses, focusing on core subjects such as anatomical pathology and diagnostic techniques. His instructional approach emphasizes hands-on learning and critical thinking, enabling students to develop practical skills and a deep understanding of pathology. Dr. Lee has also supervised numerous residents and fellows, providing mentorship and guidance in their clinical and research endeavors. His commitment to education is further demonstrated through his participation in various seminars and workshops, where he shares his expertise on emerging topics in pathology, including artificial intelligence applications in diagnostics. By fostering a collaborative and interactive learning environment, Dr. Lee plays a crucial role in preparing the next generation of pathologists for their future careers.

Academic Achievements and Activities

Dr. Kyu Sang Lee is an accomplished academic with a strong foundation in pathology, holding an MD from Eulji University and a PhD in Translational Medicine from Seoul National University College of Medicine. Currently, he serves as an Associate Professor at the Department of Pathology at Seoul National University Bundang Hospital, where he has been instrumental in advancing the field through his innovative research. His work has garnered multiple accolades, including Best Poster awards at renowned international congresses, highlighting his contributions to cancer diagnostics and treatment. Dr. Lee’s research includes the development of an AI-powered PD-L1 analyzer and studies on microsatellite instability in colorectal cancer, demonstrating his commitment to integrating technology in pathology. Furthermore, his active participation in professional societies, such as the International Academy of Pathology, reflects his dedication to collaboration and knowledge sharing within the global pathology community.

Publications:

  1. Evaluation of PD-L1 expression in PBRM1-altered clear cell renal cell carcinoma
    • Authors: Jieun Lee, Seyoung Moon, Hyun Jung Kwon, Sejoon Lee, Gheeyoung Choe, Kyu Sang Lee
    • Year: 2024
  2. An artificial intelligence‐powered PD‐L1 combined positive score (CPS) analyser in urothelial carcinoma alleviating interobserver and intersite variability
    • Authors: Kyu Sang Lee, Euno Choi, Soo Ick Cho, Seonwook Park, Jeongun Ryu, Aaron Valero Puche, Minuk Ma, Jongchan Park, Wonkyung Jung, Juneyoung Ro, et al.
    • Year: 2024
  3. IDH -wildtype secondary glioblastoma arising in IDH -mutant diffuse astrocytoma: a case report
    • Authors: Byul-Hee Yoon, Ju Sang Park, Seongmin Kang, Nak-Jung Kwon, Kyu Sang Lee, Chae‑Yong Kim, Gheeyoung Choe
    • Year: 2023
  4. Verrucous Carcinoma of the Toenail: A Case Report and Review of Literature
    • Authors: Jong-Ho Kim, Jinil Choi, Joseph Kyu-hyung Park, Jeonghyo Lee, Kyu Sang Lee, Baek-Kyu Kim
    • Year: 2022
  5. Sporadic Intradural Extramedullary Hemangioblastoma Not Associated with von Hippel-Lindau Syndrome: A Case Report and Literature Review
    • Authors: Mi-Kyung Um, Eugene Lee, Joon Woo Lee, Kyu Sang Lee, Yusuhn Kang, Joong Mo Ahn, Heung Sik Kang
    • Year: 2021
  6. Effects of low-level laser therapy and adipose-derived stem cells on the viability of autologous fat grafts: a preliminary study
    • Authors: Chan Yeong Heo, Young Soo Yoon, Kyung Hee Min, Sun Young Nam, Kyu Sang Lee, Byung Ho Shin, Seunghee Lee, Miji Lee
    • Year: 2021
  7. Persistent expression of interleukin‐17 and downstream effector cytokines in recalcitrant psoriatic lesions after ustekinumab treatment
    • Authors: Bo Ri Kim, Minsu Kim, Seungkeol Yang, Chong Won Choi, Kyu Sang Lee, Sang Woong Youn
    • Year: 2021
  8. Spinal Intraosseous Hibernoma: A Case Report and Review of Literature
    • Authors: Mi-Kyung Um, Eugene Lee, Joon Woo Lee, Kyu Sang Lee, Yusuhn Kang, Joong Mo Ahn, Heung Sik Kang
    • Year: 2020
  9. Comparative analysis of programmed cell death ligand 1 assays in renal cell carcinoma
    • Authors: Kyu Sang Lee, Gheeyoung Choe, Sumi Yun, Kyoungyul Lee, Seyoung Moon, Sangchul Lee, Sung Kyu Hong, Seok‐Soo Byun, Sang Eun Lee
    • Year: 2020
  10. The role of pathologists in multidisciplinary cancer care
    • Authors: Kyu Sang Lee, Gheeyoung Choe
    • Year: 2016

 

 

 

 

Zahra Nourbakhsh | Physics and Astronomy | Best Researcher Award

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Prof Dr. Zahra Nourbakhsh | Physics and Astronomy | Best Researcher Award

Z.Nour at University of Isfahan, Iran.

Sileshi Mulatu Tafere is an Assistant Professor of Pediatrics and Child Health Nursing at Bahir Dar University College of Medicine and Health Sciences, with over 13 years of academic and administrative experience. He holds a BSc from Alkan University College and an MSc from the University of Gondar. His professional journey includes roles as an Assistant GA, Assistant Lecturer, and Lecturer at various health science colleges. He is actively involved in teaching, research, and supervising students at both undergraduate and postgraduate levels. Sileshi has published numerous research articles in reputable journals, focusing on topics like dietary diversity, medication adherence, and health interventions. He has also contributed to community service initiatives and curriculum development. With strengths in teamwork, communication, and project management, Sileshi demonstrates a commitment to advancing pediatric nursing and public health. His dedication to research and education positions him as a strong candidate for recognition as a leading researcher.

Profile:

Education

Sileshi Mulatu Tafere holds a Bachelor of Science degree in Nursing from Alkan University College, which he completed on August 1, 2011. He further pursued advanced studies and earned a Master of Science in Pediatrics and Child Health Nursing from the University of Gondar on July 3, 2016. His academic journey is marked by a commitment to understanding pediatric healthcare, which he has translated into both his teaching and research roles. Throughout his educational pursuits, Sileshi has developed a strong foundation in nursing principles, emphasizing the importance of child health and development. His dedication to continuous learning is evident in his ongoing professional development, as he actively seeks to enhance his expertise in the field. This educational background not only qualifies him for his current role as an Assistant Professor at Bahir Dar University College of Medicine and Health Sciences but also informs his research endeavors in pediatrics and public health.

Professional Experiences 

Sileshi Mulatu Tafere is an Assistant Professor of Pediatrics and Child Health Nursing at Bahir Dar University College of Medicine and Health Sciences, bringing over 13 years of academic and administrative experience. He has served in various roles, including Assistant Lecturer and Lecturer at Pawie Health Science College and Bahir Dar University. His responsibilities encompass teaching, module development, and conducting research on public health issues, particularly co-infections at Pawie Hospital. He has chaired the Neonatal Nursing Module Course and actively supervises both undergraduate and postgraduate students. Sileshi is involved in several committees focused on curriculum revision and quality assurance. He also leads community service initiatives, providing training on first aid, infection prevention, and medication administration to health professionals and students. His commitment to education and community service is evident in his efforts to enhance nursing practices and address public health challenges in Ethiopia.

Research Interests

Sileshi Mulatu Tafere’s research interests primarily focus on pediatrics and child health nursing, addressing critical public health issues in Ethiopia. His work encompasses dietary diversity and its impact on the health of lactating women and children, as evidenced by his systematic reviews and meta-analyses. Sileshi is particularly invested in understanding the factors influencing medication adherence among asthmatic patients and the predictors of prolonged hospitalization in children with severe pneumonia. He is also dedicated to investigating community health challenges, such as enteric infections and drug-resistant bacteria, through community-based research and training programs. His commitment to improving neonatal care is reflected in his research on enteral feeding practices in neonates. Additionally, Sileshi’s interest in education extends to curriculum development and effective teaching strategies in nursing, aiming to enhance the competencies of healthcare professionals in Ethiopia. Overall, his multifaceted research agenda seeks to contribute significantly to improving child health outcomes and healthcare practices in his community.

Research skills 

Sileshi Mulatu Tafere possesses a robust set of research skills that significantly contribute to his effectiveness as an Assistant Professor in Pediatrics and Child Health Nursing. His expertise includes designing and conducting community-based studies, evidenced by his published work on dietary diversity and health outcomes among specific populations in Ethiopia. Sileshi has demonstrated proficiency in statistical analysis and data handling using various software, enhancing the quality and reliability of his research findings. His experience in curriculum development and module creation reflects his ability to integrate research into academic frameworks. Additionally, Sileshi’s collaborative nature is highlighted through his involvement in multiple multidisciplinary projects, fostering a team-oriented approach to research. He actively supervises undergraduate and postgraduate students, equipping them with research methodologies and critical thinking skills. Sileshi’s commitment to continuous learning and staying updated on health-related advancements further strengthens his research capabilities, making him a valuable asset to his academic institution and the broader medical community.

Award and Recognition 

Sileshi Mulatu Tafere has received several accolades and recognitions throughout his career, underscoring his dedication to pediatric and child health nursing. As an Assistant Professor at Bahir Dar University College of Medicine and Health Sciences, he has been instrumental in improving educational outcomes and advancing public health initiatives in Ethiopia. His research contributions, particularly in dietary diversity and neonatal care, have been published in prestigious journals, earning him respect in the academic community. Sileshi’s role as a course chair and mentor for postgraduate students showcases his commitment to nurturing future healthcare professionals. Additionally, his community service initiatives, including training sessions on first aid and infection prevention, have made a significant impact, enhancing health awareness in local communities. These efforts have not only advanced healthcare education but have also contributed to better health outcomes for children and families in the region, earning him recognition as a leading figure in his field.

Conclusion

Sileshi Mulatu Tafere stands out as a strong candidate for the Research for Best Researcher Award, given his extensive experience, impactful research contributions, and commitment to education and community service. While there are areas for improvement, such as enhancing funding strategies and expanding professional networks, his dedication to pediatrics and child health nursing positions him as a leader in the field. Awarding him this recognition would not only acknowledge his contributions but also encourage further advancements in pediatric health research in Ethiopia and beyond.

Publication Top Notes
  1. Mortality and its determinants among patients attending in emergency departments
    • Authors: Messelu, M.A., Amlak, B.T., Mekonnen, G.B., Mulatu, S., Ayenew, T.
    • Year: 2024
    • Journal: BMC Emergency Medicine
    • Volume/Issue/Page: 24(1), 125
  2. Knowledge, practice and associated factors towards intravenous cannula-related infection prevention among nurses working at Northwest Amhara Regional State Comprehensive Specialized Hospitals, Ethiopia
    • Authors: Dessalegn, A., Ali, M.S., Yohannes, S., Mulatu, S., Zewdie, A.
    • Year: 2024
    • Journal: BMC Nursing
    • Volume/Issue/Page: 23(1), 168
  3. The prevalence of asthma and its predictor among patients presenting in Ethiopian public hospitals: systematic review and meta-analysis
    • Authors: Adal, O., Mamo, S.T., Belay, A.E., Tafere, C., Belayneh, A.G.
    • Year: 2024
    • Journal: Therapeutic Advances in Respiratory Disease
    • Volume: 18
  4. Time to Reach Full Enteral Feeding and Its Predictors among Very Low Birth Weight Neonates Admitted in the Neonatal Intensive Care Unit: A Follow-Up Cohort Study
    • Authors: Getahun, B.A., Mulatu, S., Workie, H.M.
    • Year: 2024
    • Journal: Journal of Nutrition and Metabolism
    • Volume: 2024, 9384734
  5. Medication non-adherence and predictor factors among adult asthmatic patients in Ethiopia: a systematic review and meta-analysis
    • Authors: Tafere, C., Bahiru, B., Yehualaw, A., Adal, O., Endeshaw, D.
    • Year: 2024
    • Journal: Journal of Asthma
  6. Community Pharmacists’ Knowledge and Attitude Towards Opioid Pain Medication Use in Bahir Dar City, North-West Ethiopia
    • Authors: Tafere, C., Tefera, B.B., Yehualaw, A., Mulatu, S., Endeshaw, D.
    • Year: 2024
    • Journal: Journal of Multidisciplinary Healthcare
    • Volume/Issue/Page: 17, pp. 833–841
  7. Predictors of prolonged hospitalization among children aged 2–59 months with severe community-acquired pneumonia in public hospitals of Benishangul-Gumuz Region, Ethiopia: a multicenter retrospective follow-up study
    • Authors: Dinku, H., Amare, D., Mulatu, S., Abate, M.D.
    • Year: 2023
    • Journal: Frontiers in Pediatrics
    • Volume/Article ID: 11, 1189155
  8. Magnitude of mortality and its associated factors among burn victim children admitted to South Gondar zone government hospitals, Ethiopia, from 2015 to 2019
    • Authors: Tiruneh, C.M., Belachew, A., Mulatu, S., Belete, A., Walle, B.G.
    • Year: 2022
    • Journal: Italian Journal of Pediatrics
    • Volume/Issue/Page: 48(1), 12
  9. Raw cow milk nutritional content and microbiological quality predictors of South Gondar zone dairy farmers in Ethiopia, 2020
    • Authors: Yenew, C., Tadele, F., Minuye, B., Mulatu, S., Demissie, B.
    • Year: 2022
    • Journal: Heliyon
    • Volume/Issue/Page: 8(10), e11020
  10. Occurrence of drug-resistant enteric bacteria and associated factors among food handlers of the Mass Catering Center: A laboratory-based cross-sectional study
    • Authors: Yenew, C., Andualem, M., Tadele, F., Atikilt, G., Gebeyehu, A.A.
    • Year: 2022
    • Journal: Italian Journal of Food Safety
    • Volume/Issue/Page: 11(3), 10221

 

 

 

SAI KRISHNA MANOHAR CHEEMAKURTHI | Computer Science | Best Researcher Award

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Mr. Sai Krishna Manohar Cheemakurthi | Computer Science | Best Researcher Award

Sai Krishna Manohar Cheemakurthi, U.S. BANK, United States.

Sai Krishna Manohar Cheemakurthi is a seasoned IT professional with over 8 years of experience specializing in Big Data Analytics, Splunk architecture, and cloud-based solutions. He holds numerous certifications, including Splunk Core Certified Consultant and AWS Solutions Architect. Sai Krishna has expertise in designing and implementing Splunk infrastructure for both on-premises and cloud environments, particularly on AWS and Azure. His strong technical background includes scripting in Python, Shell, and Perl, and experience with Hadoop, RDBMS, and various data warehousing tools. Sai Krishna has led teams in migrating vast amounts of data, optimizing infrastructure costs, and enhancing performance through DevOps practices. His research work has been published in reputed journals, covering topics like data science analytics and secure cloud storage. His leadership roles at major financial institutions demonstrate his ability to drive technical innovation and efficiency in complex, large-scale environments.

Profile:

Education

Sai Krishna Manohar Cheemakurthi has a strong educational background that forms the foundation of his expertise in Information Technology and Big Data Analytics. He holds a Bachelor’s degree in Electronics and Communication Engineering, which equipped him with the fundamental skills in computer systems, software engineering, and electronics. His academic training in engineering has allowed him to develop a solid technical understanding of various programming languages, including Python, C++, and Java. Complementing his formal education, Sai Krishna has pursued multiple industry-recognized certifications such as AWS Certified Solutions Architect, Splunk Core Certified Consultant, and Proofpoint Certified Insider Threat Specialist. These certifications demonstrate his commitment to staying at the forefront of technology trends and expanding his knowledge in cloud computing, cybersecurity, and big data platforms. His blend of formal education and specialized certifications enables him to effectively architect and implement advanced IT solutions for a range of business challenges.

Professional Experiences 

Sai Krishna Manohar Cheemakurthi is an accomplished IT professional with over 8 years of experience in Big Data Analytics, Splunk architecture, and cloud solutions. Currently serving as Vice President – Lead Infrastructure Engineer at U.S. Bank, he leads a team in designing and implementing scalable Splunk infrastructures across global regions, optimizing costs, and automating processes. Previously, he was Vice President – Global Splunk Architect at Brown Brothers Harriman & Co., where he managed a global team and drove automation and cloud security solutions. As a Senior Splunk Architect at First Republic Bank, Sai Krishna successfully migrated large-scale Splunk infrastructures from on-premise to cloud platforms, improving disaster recovery and performance. His extensive experience includes leveraging AWS, Azure, Ansible, and Terraform to streamline operations, implementing DevOps methodologies, and delivering robust business intelligence solutions. Throughout his career, Sai Krishna has demonstrated strong leadership, technical expertise, and a commitment to innovation and optimization.

Awards and Honors

Sai Krishna Manohar Cheemakurthi has been recognized for his outstanding contributions in the field of Information Technology, particularly in Big Data Analytics and Splunk Architecture. His technical expertise and leadership have earned him numerous certifications, including Splunk Core Certified Consultant, Splunk Enterprise Certified Architect, and AWS Certified Solutions Architect, showcasing his proficiency in cloud and data platforms. He holds certifications in Sumo Logic, Proofpoint, and IBM’s Big Data Fundamentals, further enhancing his capabilities in cybersecurity and data analysis. His achievements extend to academia, where he has authored multiple research papers published in prestigious journals such as IOSR Journals and Elixir International Journal. These papers focus on cloud computing, wireless sensor networks, and quantum key distribution, demonstrating his innovative approach to solving complex challenges in IT. Sai Krishna’s ability to seamlessly integrate technical expertise with research and practical application has solidified his reputation as a leader in his domain.

Research Interest

Sai Krishna Manohar Cheemakurthi’s research interests focus on leveraging cutting-edge technologies in big data analytics, cloud computing, and cybersecurity to optimize IT infrastructure and improve data-driven decision-making. With a strong foundation in Splunk architecture, he explores advanced methods for data ingestion, transformation, and analysis, aiming to enhance the performance and security of enterprise systems. His work spans cloud migration strategies, particularly from on-premise to cloud environments like AWS, and includes innovative solutions such as quantum key distribution and secure data storage in cloud computing. Sai Krishna is also interested in the development of scalable solutions for monitoring and responding to security incidents in real-time using SIEM technologies. His research extends to cost optimization strategies, automation, and the integration of machine learning in data analytics, reflecting a forward-thinking approach to emerging trends in IT infrastructure and cybersecurity.

Research Skills

Sai Krishna Manohar Cheemakurthi possesses exceptional research skills honed over 8+ years in Information Technology, specializing in Big Data Analytics and Splunk Architecture. He is adept at designing, implementing, and optimizing complex infrastructures, focusing on Splunk and cloud technologies like AWS and Azure. His research interests include secure data management, cloud migration, and cost optimization, reflected in his publications on data analytics, cloud computing, and wireless sensor networks. Sai has a proven ability to conduct deep analysis of vast datasets, using tools like Splunk, Hadoop, and various BI platforms to generate actionable insights. He has demonstrated proficiency in developing proof-of-concept solutions for enhanced infrastructure health and performance. His expertise in scripting languages (Python, Shell, Perl) enables automation and innovative approaches in data ingestion, security monitoring, and system upgrades. Sai’s strong technical acumen, combined with a focus on optimizing IT processes, underscores his impactful contributions to the field.

Publication Top Notes
  • Cloud Observability In Finance: Monitoring Strategies For Enhanced Security
    • Authors: NB Kilaru, SKM Cheemakurthi
    • Year: 2023
    • Journal: NVEO-Natural Volatiles & Essential Oils
    • Volume/Issue/Page: 10(1), 220-226
  • Mitigating Threats in Modern Banking: Threat Modeling and Attack Prevention with AI and Machine Learning
    • Authors: SK Manohar, V Gunnam, NB Kilaru
    • Year: 2022
    • Journal: Turkish Journal of Computer and Mathematics Education (TURCOMAT)
  • Next-gen AI and Deep Learning for Proactive Observability and Incident Management
    • Authors: NBK Sai Krishna Manohar Cheemakurthi, Vinodh Gunnam
    • Year: 2022
    • Journal: Turkish Journal of Computer and Mathematics Education
    • Volume/Issue/Page: 13(3), 1550-1564
  • Scaling DevOps with Infrastructure as Code in Multi-Cloud Environments
    • Authors: NBK Sai Krishna Manohar Cheemakurthi, Vinodh Gunnam
    • Year: 2022
    • Journal: Turkish Journal of Computer and Mathematics Education
    • Volume/Issue/Page: 13(3), 1189-1200
  • Advanced Anomaly Detection In Banking: Detecting Emerging Threats Using SIEM
    • Authors: NBK Sai Krishna Manohar Cheemakurthi, Vinodh Gunnam
    • Year: 2021
    • Journal: International Journal of Computer Science and Mechatronics (IJCSM)
    • Volume/Issue/Page: 7(04), 28-33
  • Analytics of Data Science using Big Data
    • Authors: CSK Manohar
    • Year: 2013
    • Journal: IOSR Journal of Computer Engineering
    • Volume/Issue/Page: 10(2), 19-21
  • AI-Powered Fraud Detection: Harnessing Advanced Machine Learning Algorithms for Robust Financial Security
    • Authors: SKM Cheemakurthi, NB Kilaru, V Gunnam
    • Year: (Not provided)
  • Deep Learning Models For Fraud Detection In Modernized Banking Systems: Cloud Computing Paradigm
    • Authors: Y Vasa, SKM Cheemakurthi, NB Kilaru
    • Year: (Not provided)
  • SOAR Solutions in PCI Compliance: Orchestrating Incident Response for Regulatory Security
    • Authors: NB Kilaru, SKM Cheemakurthi, V Gunnam
    • Year: (Not provided)
  • AI-Driven SOAR in Finance: Revolutionizing Incident Response and PCI Data Security with Cloud Innovations
    • Authors: V Gunnam, SKM Cheemakurthi, NB Kilaru
    • Year: (Not provided)

 

 

Juan Zhang | Mathematics | Best Researcher Award

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Prof Dr. Juan Zhang | Mathematics | Best Researcher Award

professor, Xiangtan University , China

Juan Zhang is an exemplary candidate for the Best Researcher Award, distinguished by his extensive academic and research accomplishments. He holds a Ph.D. in Applied Mathematics and has risen to the rank of professor at Xiangtan University, where he actively contributes to the field of numerical algebra and matrix analysis. With over 24 publications in reputable journals indexed by the Science Citation Index, his research has significantly advanced understanding in critical areas of applied mathematics. Zhang’s accolades include the Special Prize of the 25th President Award of Xiangtan University and recognition as a Young Backbone Teacher, underscoring his excellence in both teaching and research. His international experience as a visiting scholar at renowned institutions further highlights his commitment to academic collaboration. Overall, Zhang’s impressive credentials and contributions position him as a leading figure in his field, making him a deserving recipient of this prestigious award.

Profile:

Education

Juan Zhang earned his Ph.D. in Applied Mathematics from Xiangtan University in June 2013, under the guidance of Prof. Jianzhou Liu. Prior to his doctoral studies, he obtained a Master of Arts in Operational Research and Cybernetics in June 2009, also from Xiangtan University, where he was mentored by Prof. Jianzhou Liu. His academic journey began with a Bachelor of Science in Information and Computing Science, which he completed in June 2006 at the same institution. Throughout his education, Juan demonstrated a strong aptitude for mathematics and computational science, laying a solid foundation for his future research endeavors. His rigorous training and comprehensive knowledge in these fields have significantly contributed to his successful academic career, enabling him to develop innovative numerical methods and algorithms that address complex mathematical problems.

Professional Experiences

Juan Zhang is a distinguished academic in the field of mathematics, currently serving as a Professor at the School of Mathematics and Computational Science at Xiangtan University since January 2021. His career at the university began in July 2013 as an Assistant Professor, where he laid a solid foundation for his subsequent promotion to Associate Professor in January 2016. In addition to his teaching and research roles, Juan has enriched his expertise through various international experiences, including a stint as a Visiting Scholar at the Department of Mathematics at the University of Macau in August 2015 and at the National University of Singapore in December 2017. His work has focused on numerical algebra and matrix analysis, contributing to advancements in computational methods and algorithms. Through his dedication to education and research, Juan Zhang has significantly influenced both his institution and the broader academic community.

 

Research skills

Juan Zhang is an accomplished researcher specializing in numerical algebra and matrix analysis, with a strong focus on the development and application of numerical algorithms. His research is characterized by a deep understanding of complex mathematical concepts and their practical applications in various scientific fields. He has demonstrated proficiency in formulating innovative solutions for large sparse linear systems, coupled algebraic Riccati equations, and generalized Lyapunov equations. His ability to collaborate effectively with peers is evident in his extensive publication record, which includes numerous articles in high-impact journals. Moreover, his contributions to teaching and mentoring young researchers showcase his commitment to advancing the field of applied mathematics. Juan’s adeptness in utilizing advanced computational techniques and his ongoing engagement in cutting-edge research make him a valuable asset to both the academic community and industry partners.

 

Awards And Recoginition

Juan Zhang, a distinguished professor at Xiangtan University, has received numerous accolades reflecting his exceptional contributions to applied mathematics and education. Notable recognitions include the Special Prize of the 25th President Award from Xiangtan University in 2020, highlighting his innovative teaching methods and impactful research. In the same year, he was honored as a Young Backbone Teacher by the Education Department of Hunan Province, underscoring his role in shaping future educators. His commitment to academic excellence is further exemplified by awards such as the Excellent Party Member of Xiangtan University (2021) and the Baosteel Excellent Student Award (2011). Juan’s dedication to advancing knowledge in numerical algebra and matrix analysis is evidenced by his extensive publication record in leading scientific journals, where he has contributed significantly to the field. These honors collectively demonstrate his leadership and influence in both research and education.

 

Conclusion

Juan Zhang exemplifies the qualities of an outstanding researcher deserving of the Best Researcher Award. His extensive academic journey, marked by a Ph.D. in Applied Mathematics and a progressive career at Xiangtan University, showcases his dedication to advancing knowledge in numerical algebra and matrix analysis. With over 24 influential publications in high-impact journals, his research not only contributes significantly to the field but also addresses critical challenges in applied mathematics. His numerous awards and recognitions further attest to his excellence in teaching and research, highlighting his impact on students and the academic community. Moreover, his collaborations as a visiting scholar in esteemed institutions illustrate his commitment to global academic engagement. Juan’s achievements reflect a remarkable combination of expertise, innovation, and service, making him an exemplary candidate for this prestigious award. Recognizing his contributions will inspire future researchers and promote excellence in academia.

 

Publication Top Notes

  • Backward Differentiation Formula Method and Random Forest Method to Solve Continuous-Time Differential Riccati Equations
    Authors: Juan Zhang, Wenwen Zou, Chenglin Sui
    Year: 2024
    Citation: Asian Journal of Control, DOI: 10.1002/asjc.3494
  • Low-Rank Generalized Alternating Direction Implicit Iteration Method for Solving Matrix Equations
    Authors: Juan Zhang, Wenlu Xun
    Year: 2024
    Citation: Computational and Applied Mathematics, DOI: 10.1007/s40314-024-02774-8
  • Hybrid Model of Tensor Sparse Representation and Total Variation Regularization for Image Denoising
    Authors: Kai Deng, Youwei Wen, Kexin Li, Juan Zhang
    Year: 2024
    Citation: Signal Processing, DOI: 10.1016/j.sigpro.2023.109352
  • A General Alternating-Direction Implicit Framework with Gaussian Process Regression Parameter Prediction for Large Sparse Linear Systems
    Authors: Kai Jiang, Xuehong Su, Juan Zhang
    Year: 2022
    Citation: SIAM Journal on Scientific Computing, DOI: 10.1137/21M1450197
  • Numerical Methods for the Minimal Non-Negative Solution of the Non-Symmetric Coupled Algebraic Riccati Equation
    Authors: Juan Zhang, Fangyuan Tan
    Year: 2021
    Citation: Asian Journal of Control, DOI: 10.1002/asjc.2205
  • The Generalized Modified Hermitian and Skew-Hermitian Splitting Method for the Generalized Lyapunov Equation
    Authors: Juan Zhang, Huihui Kang
    Year: 2021
    Citation: International Journal of Control, Automation and Systems, DOI: 10.1007/s12555-020-0053-1
  • The Structure-Preserving Doubling Numerical Algorithm of the Continuous Coupled Algebraic Riccati Equation
    Authors: Juan Zhang, Shifeng Li
    Year: 2020
    Citation: International Journal of Control, Automation and Systems, DOI: 10.1007/s12555-019-0368-y

 

 

Navid Ghaffarzadeh | Engineering | Best Researcher Award

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Assoc Prof Dr. Navid Ghaffarzadeh | Engineering | Best Researcher Award

Assoc Prof Dr. Navid Ghaffarzadeh, Imam Khomeini International University, Iran

Assoc Prof Dr. Navid Ghaffarzadeh is an accomplished engineer recognized for his innovative contributions to the field of engineering. With a focus on [specific area of expertise], he has been instrumental in advancing research and development initiatives. His dedication and impactful work earned him the prestigious Best Researcher Award, highlighting his commitment to excellence and collaboration. Navid continues to inspire through his research, aiming to drive advancements that benefit both industry and society.

 

Profile:

Education

Navid Ghaffarzadeh earned his PhD in Electrical Engineering from Iran University of Science and Technology in Tehran, completing his studies from September 2007 to April 2011. Prior to that, he obtained his Master of Science in Electrical Engineering from Amirkabir University of Technology (Tehran Polytechnic) between September 2005 and August 2007. He also holds a Bachelor of Science in Electrical Engineering from Zanjan University, where he studied from September 2001 to June 2005.

Professional Activities

Navid Ghaffarzadeh is actively engaged in the academic community as a reviewer for numerous prestigious journals in the field of electrical engineering. His reviewing contributions span a wide array of publications, including Renewable and Sustainable Energy Reviews, Applied Energy, Journal of Energy Storage, and IEEE Transactions on Power Systems, among others, with impact factors ranging from 1.276 to 16.799. With over 100 reviewed journal papers, Navid plays a vital role in advancing research quality and integrity in the field. His extensive experience demonstrates his commitment to fostering innovation and excellence in engineering research.

Research Interests

Navid Ghaffarzadeh’s research interests encompass a wide range of cutting-edge topics in electrical engineering. He focuses on renewable energy, exploring innovative solutions in battery energy storage systems and electric vehicles. His work in microgrid and smart grid design aims to enhance the efficiency and reliability of power systems. Navid is particularly interested in the application of artificial intelligence in renewable energy systems, as well as power systems protection and transients. Additionally, he investigates intelligent systems and optimization techniques to improve power systems, with a strong emphasis on ensuring power quality.

Honors and Awards: ‌

Navid Ghaffarzadeh has received numerous honors and awards throughout his academic and professional career. In 2012, he was honored with the IET Science, Measurement and Technology Premium Award for his outstanding paper on power quality disturbances, recognized as one of the best published in the journal. He has been named Outstanding Researcher at I.K International University multiple times, in 2013, 2014, 2016, and 2020, and has also received the Outstanding Professor award in 2017, 2019, 2020, 2021, and 2023. Additionally, he was awarded the Best Iranian PhD Dissertation in power system protection, highlighting his significant contributions to the field. Navid achieved top rankings in his studies, finishing first among PhD electrical power engineering students at Iran University of Science and Technology with a GPA of 18.72 out of 20, first among M.Sc. students at Amirkabir University of Technology with a GPA of 19.18 out of 20, and first among B.Sc. students at Zanjan University with a GPA of 18.36 out of 20.

 

Publication Top Note

A. Bamshad, N. Ghaffarzadeh, “A novel smart overcurrent protection scheme for renewables-dominated distribution feeders based on quadratic-level multi-agent system (Q-MAS),” Electrical Engineering, vol. 105, pp. 1497–1539, February 2023.

S. Ansari, N. Ghaffarzadeh, “A Novel Superimposed Component-Based Protection Method for Multi Terminal Transmission Lines Using Phaselet Transform,” IET Generation, Transmission & Distribution, vol. 17, no. 1, pp. 469–485, January 2023.

A. HN. Tajani, A. Bamshad, N. Ghaffarzadeh, “A novel differential protection scheme for AC microgrids based on discrete wavelet transform,” Electric Power Systems Research, vol. 220, pp. 1-12, July 2023.

A. Zarei, N. Ghaffarzadeh, “Optimal Demand Response-based AC OPF Over Smart Grid Platform Considering Solar and Wind Power Plants and ESSs with Short-term Load Forecasts using LSTM,” Journal of Solar Energy Research, vol. 8, no. 2, pp. 1367-1379, April 2023.

M. Dodangeh, N. Ghaffarzadeh, “A New Protection Method for MTDC Solar Microgrids using on-line Phaselet, Mathematical Morphology, and Signal Energy Analysis,” Energy Engineering & Management, vol. 13, no. 1, pp. 40-53, March 2023 (in Persian).

M. Dodangeh, N. Ghaffarzadeh, “An Intelligent Protection Method for Multi-terminal DC Microgrids Using On-line Phaselet, Mathematical Morphology, and Fuzzy Inference Systems,” Energy Engineering & Management, vol. 12, no. 2, pp. 12-25, August 2022 (in Persian).

M. Dodangeh, N. Ghaffarzadeh, “Optimal Location of HTS-FCLs Considering Security, Stability, and Coordination of Overcurrent Relays and Intelligent Selection of Overcurrent Relay Characteristics in DFIG Connected Networks Using Differential Evolution Algorithm,” Energy Engineering & Management, vol. 10, no. 2, pp. 14-25, May 2020 (in Persian).

A. Inanloo Salehi, N. Ghaffarzadeh, “Fault detection and classification of VSC-HVDC transmission lines using a deep intelligent algorithm,” International Journal of Research and Technology in Electricity Industry, vol. 1, no. 2, pp. 161-170, September 2022.

N. Ghaffarzadeh, H. Faramarzi, “Optimal Solar plant placement using holomorphic embedded power flow considering the clustering technique in uncertainty analysis,” Journal of Solar Energy Research, vol. 7, no. 1, pp. 997-1007, Winter 2022.

N. Ghaffarzadeh, A. Bamshad, “A new approach to AC microgrids protection using a bi-level multi-agent system,” International Journal of Research and Technology in Electricity Industry, vol. 1, no. 1, pp. 66-74, March 2022.

Amel SAHLI | Computer Science | Best Researcher Award

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MS. Amel SAHLI | Computer Science | Best Researcher Award

École Nationale des Sciences de l’Informatique , Tunisia

Amel Sahli is a dedicated researcher pursuing her PhD in computer science at the École Nationale des Sciences de l’Informatique in Tunisia, focusing on optimizing e-learning processes through AI and key performance indicators. She holds a Master’s degree in information systems and has published significant work on performance measurement in education. Sahli’s diverse professional background includes roles as a contract lecturer and various internships, providing her with practical insights and teaching experience. Her technical skills in programming and web development, coupled with her proficiency in Arabic, French, and English, enhance her ability to engage with the international research community. Amel Sahli’s commitment to advancing educational methodologies through her research makes her a strong candidate for the Best Researcher Award, highlighting her potential to contribute meaningfully to the field of education technology.

 

Profile:

Education

Amel Sahli is currently pursuing her PhD in computer science at the École Nationale des Sciences de l’Informatique (ENSI) in Tunisia. Her doctoral research focuses on developing an integrated approach that leverages artificial intelligence (AI) and key performance indicators (KPIs) to optimize e-learning processes. Prior to her PhD, she earned a Master’s degree in information systems and web technologies, where she studied performance measurement in educational settings. This followed her Bachelor’s degree in computer science, during which she designed and implemented web applications for educational management. Sahli’s academic journey has been marked by consistent excellence, earning distinctions in her studies and developing a strong foundation in both theoretical and practical aspects of computer science. Her educational background not only highlights her technical competencies but also underscores her commitment to advancing the field of education through innovative research.

Professional Experiences

Amel Sahli has gained diverse professional experience that enriches her academic pursuits. She began her career as a bank intern and a counter agent, where she honed her customer service and operational skills. Following these roles, she interned at the Institut Supérieur d’Informatique du Kef, further deepening her understanding of information technology in educational contexts. In 2023, she transitioned into academia as a part-time lecturer, sharing her expertise in computer science with students. Currently, Sahli is engaged in research at the RIADI laboratory at the Université de la Manouba, where she applies her knowledge of artificial intelligence and KPIs to enhance e-learning processes. This combination of practical experience and academic engagement positions her as a well-rounded professional, capable of bridging theory and practice effectively. Sahli’s journey reflects her commitment to continuous learning and development in both research and teaching.

Research Skills

Amel Sahli possesses a robust set of research skills that are essential for her academic pursuits. Her expertise in quantitative and qualitative research methodologies allows her to design comprehensive studies that yield meaningful insights. Proficient in data analysis, Sahli employs statistical tools to interpret complex datasets, ensuring her findings are both reliable and impactful. Additionally, her experience in academic writing and publication equips her to effectively communicate her research outcomes to diverse audiences. Sahli’s ability to critically evaluate existing literature enables her to identify gaps in knowledge, guiding her own research questions. Her strong organizational skills facilitate the management of research projects, from initial conception to final execution. Moreover, her proficiency in various programming languages and web development enhances her capability to create innovative solutions within her research, particularly in optimizing e-learning processes. Overall, Sahli’s comprehensive research skill set positions her as a valuable contributor to the field of computer science and education technology.

Award and Recognition

Amel Sahli has been recognized for her outstanding contributions to the field of computer science and education. Notably, she participated in the “Inspiring Research & Innovation Using IEEE Publications” event, demonstrating her commitment to advancing research practices. Additionally, she attended the “23rd International Conference on Intelligent Systems Design and Applications,” where she engaged with leading experts and shared her insights. Her certifications from prestigious organizations, including Google and Microsoft, further attest to her dedication to continuous learning and professional development. Moreover, Sahli’s article on performance measurement in educational processes has been published in Procedia Computer Science, enhancing her visibility in academic circles. These recognitions not only reflect her hard work and innovation but also position her as a rising star in her field, earning her respect among peers and contributing to her eligibility for the Best Researcher Award.

Conclusion

In conclusion, Amel Sahli exemplifies the qualities sought in a candidate for the Best Researcher Award. Her academic journey, characterized by a robust educational background in computer science and information systems, has equipped her with the necessary tools to conduct meaningful research. Her focus on optimizing e-learning processes through the integration of AI and KPIs showcases her innovative approach to addressing contemporary educational challenges. Furthermore, her contributions to peer-reviewed journals and participation in international conferences illustrate her commitment to advancing knowledge in her field. Sahli’s diverse professional experiences, ranging from teaching to research, highlight her multifaceted skill set and adaptability. With her proficiency in multiple languages and technical expertise, she stands out as a collaborative researcher poised to make a lasting impact in education technology. Thus, Amel Sahli is not only a deserving nominee but also a potential leader in shaping the future of educational practices.

Publication Top Note

  • Conference Paper in Procedia Computer Science
    • Title: Performance Measurement of Reading Teaching-Learning Business Processes: Case of Whole-Word and Syllabic Reading Methods in Primary Schools
    • Authors: Amel Sahli, A. Mejri, A. Louati
    • Year: 2024
    • Citations: 0
  • Conference Paper in Lecture Notes in Networks and Systems
    • Title: Performance Measurement of Reading Teaching-Learning Business Processes: Case of Whole-Word and Syllabic Reading Methods in Primary Schools
    • Authors: Amel Sahli, A. Mejri, A. Louati
    • Year: 2024
    • Citations: 0