Tag: Computational Science Award

Chengjie Li | Computer Science | Innovative Research Award

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Prof. Chengjie Li | Computer Science | Innovative Research Award

Southwest Minzu University | China

Chengjie Li is an Associate Professor and Ph.D. candidate at the School of Computer Science and Technology, Southwest Minzu University, China, and a postdoctoral researcher at the University of Electronic Science and Technology of China. He has also served as a senior visiting scholar at the University of Liverpool, UK. His research expertise lies in information security, intelligent information processing, anti-interference communications, and modern signal processing. Dr. Li has published over 50 peer-reviewed papers, with more than 40 indexed by SCI/EI, and authored two textbooks for graduate and undergraduate education. He has led or participated in multiple national and provincial projects and holds several national patents. His work has received major science and technology awards and contributes to secure communications, satellite systems, and next-generation network resilience.

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Massudi Mahmuddin | Computer Science | Research Excellence Award

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Assoc. Prof. Dr. Massudi Mahmuddin | Computer Science | Research Excellence Award

Universiti Utara Malaysia | Malaysia 

Associate Professor Dr. Massudi Mahmuddin is a highly experienced academic and technology leader at Universiti Utara Malaysia (UUM), bringing more than two decades of contributions in teaching, research, administration, and student development. As an Associate Professor at the School of Computing, he has played a pivotal role in shaping academic programmes, strengthening industry collaborations, and nurturing future-ready graduates through innovative, student-centred learning approaches. His extensive leadership portfolio includes serving as Dean of Student Affairs, Director of Student Affairs, and Dean of Student Development and Alumni, where he led major initiatives in holistic student development, strategic planning, and university–community engagement. With a strong background in organizational management, project management, and computing systems, Dr. Massudi’s research focuses on intelligent computer systems, smart networking, artificial intelligence, blockchain technologies, big data analytics, and computer security. His scholarly impact is reflected through numerous indexed publications, international conference contributions, and interdisciplinary research collaborations. He is also actively engaged in academic quality enhancement, supervising postgraduate research, and developing technology-driven solutions aimed at social and educational transformation. Driven by a vision to improve human well-being through technology, Dr. Massudi continues to explore emerging digital innovations that enhance decision-making, cybersecurity, mental health monitoring, and community empowerment. His career reflects a balanced blend of academic excellence, administrative leadership, and a deep commitment to student success, making him a valuable contributor to Malaysia’s growing digital and educational ecosystem.

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Featured Publications

Intellectual Property Blockchain
Conference Paper • Citations: 3

Pattern reconfigurable dielectric resonator antenna using capacitor loading for Internet of Things applications
International Journal of Electrical and Computer Engineering, 2023 • Citations: 4

 

Dagne Walle | Computer Science | Best Scholar Award

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Mr. Dagne Walle | Computer Science | Best Scholar Award

Haramaya at Haramaya university, Ethiopia

Dagne Walle Girmaw is a lecturer, researcher, and programmer at Haramaya University in Ethiopia, with a strong academic background in Information Technology. His expertise lies in applying machine learning and deep learning techniques to solve critical challenges in agriculture. Dagne’s work focuses on developing automated systems to detect crop diseases at an early stage, utilizing advanced AI models to improve food security and agricultural sustainability. His passion for using technology to bridge the gap between agriculture and innovation has led to impactful research that can potentially transform the agricultural landscape in Ethiopia and beyond. Dagne is committed to making a difference by empowering farmers with actionable insights that can enhance crop yields and reduce losses. As an educator, Dagne also plays a pivotal role in nurturing the next generation of IT professionals in Ethiopia, providing them with the necessary tools to apply advanced technologies in real-world scenarios.

Professional Profile

Education:

Dagne Walle Girmaw holds a Master’s degree in Information Technology from the University of Gondar, completed in 2021. He also earned his Bachelor’s degree in Information Technology from Haramaya University in 2017. His academic journey has been focused on acquiring a deep understanding of IT systems, with a particular emphasis on machine learning and deep learning. The combination of his education and technical skills has enabled him to pioneer research in applying these advanced technologies to agricultural challenges. His education from two reputable institutions in Ethiopia has provided him with both theoretical knowledge and practical experience in addressing real-world issues in agriculture, particularly the detection of crop diseases using AI.

Professional Experience:

Since 2018, Dagne has been a lecturer and researcher at Haramaya University, where he imparts knowledge on Information Technology and leads research initiatives focused on AI applications in agriculture. As a lecturer, he has played a key role in shaping the education of students, particularly those interested in IT, by teaching courses and supervising academic projects. His research experience spans over six years, during which he has developed several deep learning-based models for detecting crop diseases such as stem rust in wheat, livestock skin diseases, and common bean leaf diseases. His academic and research endeavors at Haramaya University have allowed him to make meaningful contributions to the field of agricultural technology and provide students with cutting-edge insights into the intersection of IT and agriculture.

Research Interest:

Dagne Walle Girmaw’s research interests are primarily centered around the application of deep learning and machine learning techniques in agriculture. He is particularly focused on developing systems for early disease detection in crops, which can significantly improve agricultural productivity and food security. His research has led to the development of various models, such as those for detecting and classifying diseases in crops like wheat, beans, and peas, using deep convolutional neural networks (CNNs). Additionally, Dagne’s work includes using AI for the detection of counterfeit Ethiopian banknotes. His interest in machine learning-driven solutions highlights his desire to use technology to solve some of the most pressing challenges in the agricultural sector, with the ultimate goal of empowering farmers and enhancing food systems in Ethiopia and other developing countries.

Research Skills:

Dagne possesses strong research skills in machine learning, deep learning, and computer vision, which are central to his work on agricultural disease detection. He is proficient in using deep learning frameworks such as TensorFlow and Keras to develop complex models that can process and analyze agricultural data, including images of crops. His research skills also include data preprocessing, model evaluation, and optimization techniques, all of which are essential for creating accurate and reliable models. Furthermore, Dagne has experience in implementing algorithms for image classification and pattern recognition, which are key components in his work on disease detection. His ability to integrate AI technologies into real-world applications demonstrates a high level of proficiency in his field and a commitment to advancing agricultural technologies through research.

Awards and Honors:

Dagne Walle Girmaw has earned multiple Reviewer Contribution Certificates, recognizing his active participation in the academic and research community. These certificates highlight his role in reviewing academic papers, further cementing his reputation as a respected contributor to the field of Information Technology and machine learning. While specific awards for his research have not been mentioned, his work’s impact on agricultural technology has gained recognition, particularly in Ethiopia, where his research has the potential to improve the lives of farmers and contribute to national food security. His certifications and recognition as a reviewer reflect his dedication to advancing knowledge in both the academic and applied research fields.

Conclusion:

Dagne Walle Girmaw is a promising researcher and academic in the field of Information Technology, with a focus on using AI and deep learning to address challenges in agriculture. His work is particularly impactful in the realm of crop disease detection, where he has developed models that could potentially transform agricultural practices in Ethiopia and beyond. With a strong educational background, extensive professional experience, and a passion for solving agricultural problems through technology, Dagne is well-positioned to make significant contributions to both the academic and practical aspects of agricultural innovation. His research holds the potential to not only advance technology but also improve the livelihoods of farmers, enhance food security, and contribute to sustainable agricultural practices.

Publication Top Notes

  1. Title: Livestock animal skin disease detection and classification using deep learning approaches
    • Authors: Walle Girmaw, D.
    • Journal: Biomedical Signal Processing and Control
    • Year: 2025
    • Volume: 102
    • Article Number: 107334
  2. Title: Deep convolutional neural network model for classifying common bean leaf diseases
    • Authors: Girmaw, D.W., Muluneh, T.W.
    • Journal: Discover Artificial Intelligence
    • Year: 2024
    • Volume: 4(1)
    • Article Number: 96
  3. Title: A novel deep learning model for cabbage leaf disease detection and classification
    • Authors: Girmaw, D.W., Salau, A.O., Mamo, B.S., Molla, T.L.
    • Journal: Discover Applied Sciences
    • Year: 2024
    • Volume: 6(10)
    • Article Number: 521
  4. Title: Field pea leaf disease classification using a deep learning approach
    • Authors: Girmaw, D.W., Muluneh, T.W.
    • Journal: PLoS ONE
    • Year: 2024
    • Volume: 19(7)
    • Article Number: e0307747
  5. Title: Development of a Model for Detection and Grading of Stem Rust in Wheat Using Deep Learning
    • Authors: Nigus, E.A., Taye, G.B., Girmaw, D.W., Salau, A.O.
    • Journal: Multimedia Tools and Applications
    • Year: 2024
    • Volume: 83(16)
    • Pages: 47649–47676
    • Citations: 4

 

 

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

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

Published on by WSA Awards

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