Sasank V.V.S | Computer Science | Best Researcher Award

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Assist Prof Dr. Sasank V.V.S | Computer Science | Best Researcher Award

K L University | India

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Scopus

Early Academic Pursuits

Dr. Sasank V.V.S. exhibited a strong academic foundation from the outset. He completed his secondary education at Jassver English Medium School in 2007 with a First Class distinction, scoring 72.66%. He continued to excel in his Intermediate studies at Mega Junior College, graduating in 2009 with an 84.1% mark, also achieving First Class. His academic journey progressed to higher education at Gitam Institute of Technology, GITAM University, where he obtained his B.Tech in Information Technology in 2013 with a CGPA of 8.15, earning a Distinction. He further advanced his education with an M.Tech in Computer Science and Technology from the same institution, graduating in 2016 with a remarkable 9.11 CGPA, securing the top rank in his department. Dr. Sasank completed his Ph.D. at K.L. University in 2023, marking a significant milestone in his academic career.

Professional Endeavors

Dr. Sasank has a rich professional background in both academia and industry. He began his teaching career as a Teaching Assistant in the CSE Department at Gitam University from October 2015 to April 2016. He then served as an Assistant Professor at the Lendi Institute of Engineering & Technology, VIZIANAGARAM, from June 2016 to April 2017. Following this, he joined Anil Neerukonda Institute of Technology & Sciences (ANITS) as an Assistant Professor and Placement Officer from June 2017 to April 2019. He has been affiliated with K L University since July 2019, initially in the CSE Department and later in the CSIT Department, where he also served as the ERP Registration In-charge. His teaching repertoire includes subjects such as DBMS, Software Engineering, Computer Architecture & Organization, Term Paper, UI/UX Design, and DevOps.

Contributions and Research Focus

Dr. Sasank's research primarily focuses on advanced topics in computer science and engineering. His areas of interest include brain tumor classification, real-time traffic management using IoT and machine learning techniques, and the evolution of modern women in literature. He has published a significant number of papers in reputed journals, including  SCI papers and several Scopus-indexed articles. His notable publications include works on hybrid deep neural networks, automatic tumor growth prediction, and brain tumor classification using modified kernel-based softplus extreme learning machines. Additionally, he has guided numerous B.Tech and M.Tech project batches, contributing to the academic growth of his students.

Accolades and Recognition

Dr. Sasank has received several accolades for his academic and research achievements. He was the top ranker in his M.Tech program at Gitam University in 2016. He has published 18 papers, including SCI, Scopus, and WOS-indexed journals, and has contributed to two book chapters. His innovative research has led to the publication of two patents: one on real-time traffic management using IoT and machine learning techniques, and another on the evolution of modern women in Manju Kapur’s novels. Additionally, he has earned global certifications, including Google Associate Cloud Engineer and AWS Cloud Practitioner, and has presented his research at various international conferences.

Impact and Influence

Dr. Sasank's contributions to the field of computer science and engineering have had a significant impact on both academic and practical applications. His research on brain tumor classification and real-time traffic management has potential real-world implications, advancing the fields of medical imaging and smart city technologies. As an educator, he has influenced many students through his teaching and mentorship, guiding them in their academic and research endeavors.

Legacy and Future Contributions

Dr. Sasank's ongoing research and academic activities are expected to leave a lasting legacy in the field of computer science and engineering. His contributions to brain tumor classification and IoT-based traffic management are poised to influence future research and development in these areas. As he continues to publish and present his work, Dr. Sasank is likely to inspire and mentor the next generation of engineers and researchers, ensuring continued innovation and excellence in his field.

 

Notable Publications

Prostate cancer classification using adaptive swarm Intelligence based deep attention neural network 2024

Effective Segmentation and Brain Tumor Classification Using Sparse Bayesian ELM in MRI Images 2023

Hybrid deep neural network with adaptive rain optimizer algorithm for multi-grade brain tumor classification of MRI images 2022 (14)

An automatic tumour growth prediction based segmentation using full resolution convolutional network for brain tumour 2022 (27)

Hate Speech & Offensive Language Detection Using ML &NLP 2022 (4)

 

 

 

 

Debapriya Banik | Computer Science | Best Researcher Award

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Dr. Debapriya Banik | Computer Science | Best Researcher Award

ICFAI University | India

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Early Academic Pursuits

Dr. Debapriya Banik embarked on his academic journey with a solid foundation in secondary and higher secondary education at Holy Cross School in Agartala, achieving commendable scores in both ICSE and ISC examinations. His passion for Computer Science led him to pursue a Bachelor of Technology (B.Tech) in Computer Science and Engineering at the National Institute of Technology Agartala, where he graduated with a CGPA of 7.59. His pursuit of higher education continued at Tripura University, where he excelled in his Master of Technology (M.Tech) in Computer Science and Engineering, earning a gold medal for securing the highest percentage. Dr. Banik's academic endeavors culminated in a Doctor of Philosophy (Ph.D.) in Computer Science and Engineering from Jadavpur University, where he focused on developing computer-aided techniques for the early prediction of colorectal cancer based on diagnostic image analysis.

Professional Endeavors

Dr. Banik's professional career is marked by diverse and impactful roles in academia and industry. He began his career as a consultant at Polaris Financial Technology Ltd in Chennai, gaining valuable industry experience. Transitioning to academia, he served as a Junior Research Fellow (JRF) on a DBT Twinning Project at Jadavpur University, working on techniques for pain management and breast cancer using IR imaging. He then became a Senior Research Fellow (SRF)-Direct at Jadavpur University under the sponsorship of the Council for Scientific and Industrial Research, Government of India. His academic career continued to flourish as he took on roles as an Assistant Professor at Techno India in Kolkata and later at ICFAI University in Tripura, where he currently teaches in the Department of Computer Science & Engineering.

Contributions and Research Focus

Dr. Banik's research has significantly contributed to the field of computer science, particularly in medical image analysis. His Ph.D. thesis focused on developing computer-aided techniques for the early prediction of colorectal cancer, leveraging diagnostic image analysis. Additionally, he has worked on the design and development of techniques for pain management and breast cancer using IR imaging. His innovative research approaches have not only advanced the field but also provided practical solutions for critical medical challenges. Dr. Banik's work is characterized by a strong focus on applying machine learning and computational techniques to enhance diagnostic accuracy and efficiency.

Accolades and Recognition

Dr. Banik's academic excellence and research contributions have earned him numerous awards and recognitions. He was awarded a gold medal for his outstanding performance in M.Tech at Tripura University. He received the DST-Inspire fellowship from the Department of Science and Technology, Government of India, and the North Eastern Council (NEC) Scheme fellowship for postgraduate studies. Dr. Banik secured the first position in the Workshop on Machine Learning for Medical Image Analysis (WMLMIA) - Fetal Ultrasound Censor (FUC) Grand Challenge, organized by the Department of Electrical Engineering at IIT Kharagpur. Additionally, he had the opportunity for a short-term research visit to the Medical University of Vienna, Austria, sponsored by DST, Government of India, where he worked on developing a computer-assisted diagnosis system for segmenting and detecting abnormalities and diseases under the supervision of Prof. Christian Kollman.

Impact and Influence

Dr. Banik's work has had a profound impact on the field of medical image analysis, particularly in the early detection and management of diseases such as colorectal and breast cancer. His research has paved the way for more accurate and efficient diagnostic tools, improving patient outcomes and contributing to the advancement of medical technology. As an educator, he has influenced and mentored numerous students, fostering a new generation of computer science professionals who are equipped with cutting-edge knowledge and skills.

Legacy and Future Contributions

Dr. Banik's legacy lies in his dedication to advancing the field of computer science through innovative research and his commitment to education. His work continues to inspire researchers and students alike, and his contributions to medical image analysis have set a high standard for future research in the field. Looking ahead, Dr. Banik aims to further his research on computer-aided diagnosis systems, exploring new applications and techniques to address emerging challenges in healthcare. His future contributions are expected to continue making significant strides in improving diagnostic accuracy and patient care through advanced computational methods.

 

Notable Publications

Robust medical and color image cryptosystem using array index and chaotic S-box 2024

dHBLSN: A diligent hierarchical broad learning system network for cogent polyp segmentation 2024

2pClPr: A Two-Phase Clump Profiler for Segmentation of Cancer Cells in Fluorescence Microscopic Images 2023 (2)

RBECA: A regularized Bi-partitioned entropy component analysis for human face recognition 2022 (1)

LwMLA-NET: A Lightweight Multi-Level Attention-based NETwork for Segmentation of COVID-19 Lungs Abnormalities from CT Images 2022 (39)

 

 

 

Akhil Nigam | Engineering | Best Researcher Award

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Dr. Akhil Nigam | Engineering | Best Researcher Award

Chandigarh University | India

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Early Academic Pursuits

Dr. Akhil Nigam's academic journey is rooted in a strong foundation in Electrical and Electronics Engineering. He completed his secondary education at N.L.K. Inter College, Kanpur, achieving 70.6% in his XII board exams in 2006 and 65% in his X board exams in 2004. His passion for engineering led him to pursue a B.Tech. in Electrical & Electronics Engineering at Naraina College of Engineering and Technology, under Gautam Buddh Technical University, where he graduated with a commendable 78.22% in 2011.

Professional Endeavors

Dr. Nigam's professional career began with a one-year tenure as a Teaching Personnel at Govind Ballabh Pant University of Agriculture & Technology, Pantnagar, Uttarakhand, from August 2011 to May 2012. He then served as an Assistant Professor at IFTM University, Moradabad, from August 2013 to July 2017, in the Department of Electrical Engineering. Currently, he holds the position of Assistant Professor at Chandigarh University, Mohali, since June 2018, where he continues to contribute to the academic and research landscape.

Contributions and Research Focus

Dr. Nigam's research interests are primarily focused on renewable energy sources and power systems. His academic projects include the M.Tech. project "Simulation of Modified Perturb & Observe MPPT Technique for Solar PV Cell Application Using MATLAB/SIMULINK" and the B.Tech. project "Wireless MCB Fault Finder." He has made significant contributions to the field through his publications, which include several articles in reputed journals and conference proceedings. His notable works include research on MPPT techniques for solar PV cells and optimization techniques for distributed generators.

Accolades and Recognition

Dr. Nigam has been recognized for his academic and research excellence throughout his career. He completed his M.Tech. in Electrical Engineering (Power Systems) from IFTM University, Moradabad, in 2016, with an impressive 84.55%. His Ph.D. from Chandigarh University in 2023, with a CGPA of 7.0, further solidifies his expertise in Electrical Engineering. He has received accolades for his outstanding performance, including awards for his research publications and contributions to the field of electrical engineering.

Impact and Influence

Dr. Nigam's impact extends beyond his research contributions. He has actively participated in international conferences and workshops, presenting his work and engaging with the global academic community. His dedication to teaching and mentoring students has influenced many aspiring engineers. His involvement in research projects and publications has contributed to advancements in renewable energy and power systems, driving innovation and sustainability in the field.

Legacy and Future Contributions

Dr. Akhil Nigam's legacy in Electrical Engineering is marked by his rigorous research, academic excellence, and commitment to education. As he continues his career, his contributions to renewable energy, power systems, and smart grid technology are anticipated to significantly advance the field. His ongoing research and professional endeavors promise to leave a lasting impact on the scientific community and pave the way for future innovations.

 

Notable Publications

Reactive power compensation during the convergence of grid system with FACTS devices 2024

Modeling of hybrid power system using MATLAB  2023

Utilization of Various Controllers for Determination of Stability for Hybrid System Under MATLAB 2023

Modeling & Simulation Analysis of Solar PV System Using MPPT Controller for Study of Hybrid Energy System 2023

Optimization of Wind-Hydro Hybrid Energy System for Stability Analysis by Using Different Types of Controllers 2023 (2)

 

 

 

Vishnu Dharssini A.C | Engineering | Best Researcher Award

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Ms. Vishnu Dharssini A.C | Engineering | Best Researcher Award

Thiagarajar College of Engineering | India

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Early Academic Pursuits

Ms. Vishnu Dharssini A.C has consistently demonstrated a passion for knowledge and excellence in her academic journey. Her pursuit of higher education in Electrical and Electronics Engineering began at Thiagarajar College of Engineering, Madurai, where she excelled academically. She was awarded a Silver Medal as the Best Outgoing Student of the Year 2021. Her dedication and outstanding performance were further recognized through awards for her achievements in the Anna University semestral examinations for two consecutive years, 2017 and 2018.

Professional Endeavors

Ms. Dharssini's professional endeavors are marked by her dedication to research and development in the field of Electrical and Electronics Engineering. She has engaged in various innovative projects, such as the simulation and analysis of a standalone microgrid for grid stability and modeling energy demand for an educational institution. Her current work focuses on an IoT-based demand side management and control scheme for smart grids. Additionally, she has gained valuable industrial exposure through her involvement in projects and collaborations.

Contributions and Research Focus

Ms. Dharssini has made significant contributions to the field of Electrical and Electronics Engineering, particularly in smart grid and renewable energy technologies. She is also exploring the burgeoning fields of machine learning and deep learning. Her research is supported by her proficiency in tools and software such as MATLAB, ETAP, Power World Simulator, Grafana, HOMER, DIG SILENT Power Factory Software, and PARAMICS. Her dedication to research is evident from her publications, which include two book chapters, seven conference papers, and five journal articles.

Accolades and Recognition

Ms. Dharssini's academic and research excellence have been widely recognized. In June 2023, she was selected for the "International Young Scientist Awards" under the category of "Best Researcher Award." Her commitment to continuous learning and skill enhancement is evident from her participation in numerous courses during the COVID-19 lockdown, including over five IEEE courses and five Coursera courses. Her efforts were further acknowledged when she received the "Savitha" scheme fellowship from Thiagarajar Research Fellowship in June 2022.

Impact and Influence

Ms. Dharssini's impact extends beyond her research contributions. She has actively participated in international conferences, where she has presented her work and engaged with the global academic community. Her involvement in initiatives such as the "Science and Technology Capacity Building for Industrial Needs" by the Tamil Nadu Council for Science and Technology in Chennai in 2019 highlights her commitment to applying her knowledge for industrial and societal benefits.

Legacy and Future Contributions

Ms. Vishnu Dharssini A.C's legacy in Electrical and Electronics Engineering is marked by her rigorous research, academic excellence, and dedication to continuous learning. As she continues her career, her contributions to smart grid technology, renewable energy systems, and the integration of machine learning in engineering are anticipated to advance the field significantly. Her ongoing research and professional endeavors promise to leave a lasting impact on the scientific community and pave the way for future innovations.

 

Notable Publications

Three-tier integrated demand-supply energy management for optimized energy usage in institutional building 2024

Smart Energy Source Management in a Commercial Building Microgrid 2024

An Investigation on Static Reconfiguration of Solar Photovoltaic Panels by Adopting Arithmetic Array Modelling 2023 (1)

Deployment of IoT-Based Smart Demand-Side Management System with an Enhanced Degree of User Comfort at an Educational Institution 2023 (4)

Energy Pattern Classification and Prediction in an Educational Institution using Deep Learning Framework 2022 (5)

 

 

Yajing Fang | Agricultural and Biological Sciences | Best Researcher Award

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Assoc Prof Dr. Yajing Fang | Agricultural and Biological Sciences | Best Researcher Award

Hainan University | China

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Early Academic Pursuits

Dr. Yajing Fang began her academic journey at Huazhong Agricultural University, where she earned a Bachelor’s degree in Food Quality and Safety. She continued her education at the same institution, pursuing a Ph.D. in Food Science. Her early academic work laid a solid foundation in food science, focusing on the safety and quality of food products.

Professional Endeavors

Dr. Fang's professional career has been marked by significant contributions in both academia and research. After completing her Ph.D., she worked as a postdoctoral researcher at the University of Copenhagen, Denmark, where she gained valuable experience in the field of food science. In 2021, she joined Hainan University as an Associate Professor in the School of Food Science and Engineering. Her work encompasses a range of research areas, including the intestinal transport and metabolism of natural products, as well as the utilization of probiotics and postbiotics in forage and food.

Contributions and Research Focus

Dr. Fang’s research focuses on the intestinal transport and metabolism of natural products such as polyphenols and peptides, investigating their antioxidant and anti-inflammatory activities. She employs a combination of in vitro, in vivo, and in silico models to study these processes. Her current projects include the enhancement of dihydroquercetin’s intestinal absorption, the quality evaluation of coconut water, and the molecular mechanisms of citrus flavonoids. Dr. Fang has been a principal investigator and co-investigator on numerous research grants, highlighting her ability to lead and contribute to significant research endeavors.

Accolades and Recognition

Dr. Fang has received several awards and recognitions throughout her academic and professional career. These include the Outstanding Doctoral Student Funding Scheme Award from Huazhong Agricultural University in 2018, the 1st Poster Prize at the academic annual conference, and the 2nd Prize in the postgraduate mimic international conference. Her academic excellence has been consistently recognized with multiple awards based on her grade point average and contributions to social work.

Impact and Influence

Dr. Fang’s work has had a substantial impact on the field of food science, particularly in understanding the interactions of natural products with the intestinal system. Her research on the bioactivity of natural products and the use of probiotics and postbiotics has practical applications in improving food quality and safety. Her contributions have been published in numerous scientific journals, reflecting her influence in the academic community.

Legacy and Future Contributions

Dr. Fang’s ongoing research projects and her role as an Associate Professor at Hainan University highlight her commitment to advancing the field of food science. With her extensive experience and skills in various analytical techniques, she continues to make significant contributions to understanding the health benefits of natural products. Her future work is expected to further explore the mechanisms of natural product absorption and metabolism, as well as the development of innovative food products that promote health and well-being.

 

Notable Publications

Impact of refining on phytochemicals and anti-inflammatory activity of papaya (Carica papaya L.) seed oil in LPS-stimulated THP-1 cells 2024

Coconut milk treated by atmospheric cold plasma: Effect on quality and stability 2024 (13)

Amelioration of Type 2 Diabetes Using Four Strains of Lactobacillus Probiotics: Effects on Gut Microbiota Reconstitution-Mediated Regulation of Glucose Homeostasis, Inflammation, and Oxidative Stress in Mice 2023 (1)

Development of protein-polyphenol particles to stabilize high internal phase Pickering emulsions by polyphenols' structure 2023 (26)

Effects of refining process on Camellia vietnamensis oil: Phytochemical composition, antioxidant capacity, and anti-inflammatory activity in THP-1 macrophages 2023 (8)

 

 

 

 

 

Rudresh Dwivedi | Computer Science | Best Researcher Award

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Assist Prof Dr. Rudresh Dwivedi | Computer Science | Best Researcher Award

Netaji Subhas University of Technology | India

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Early Academic Pursuits

Dr. Rudresh Dwivedi's academic journey began with a Bachelor of Technology in Computer Science & Engineering from ICFAI University, Dehradun, India. He graduated in 2010 with a CGPA of 6.63/10. He then pursued a Master of Technology in Electrical Engineering from the National Institute of Technology (NIT), Raipur, India, graduating in 2013 with a CGPA of 8.63/10. His thesis, supervised by Dr. Narendra D. Londhe, focused on the classification of EEG-based multiclass motor imagery movements. Dr. Dwivedi furthered his academic career with a Ph.D. in Computer Science and Engineering from the Indian Institute of Technology (IIT), Indore, India, completing his doctoral studies in 2019 under the supervision of Dr. Somnath Dey. His Ph.D. thesis titled "Unimodal and Multimodal Biometric Verification Using Cancelable Iris and Fingerprint Templates" earned him a CGPA of 9.25/10.

Professional Endeavors

Dr. Dwivedi's professional career is marked by a blend of academic and industry experiences. His career commenced as a Software Engineer at Mars Web Solution, Bangalore, India, from August 2010 to March 2011. Transitioning to academia, he served as an Assistant Professor at NMIMS University, Maharashtra, India, in 2013. Following this, he was a Research Assistant at IIT Indore for a SERB-DST project focused on efficient cancelable template generation methods for fingerprint and iris biometrics. He then joined Pandit Deendayal Petroleum University (PDPU), Gandhinagar, Gujarat, India, as an Assistant Professor from July 2019 to August 2021. Currently, Dr. Dwivedi is an Assistant Professor in the Computer Science & Engineering Department at Netaji Subhas University of Technology, Dwarka, Delhi, India.

Contributions and Research Focus

Dr. Dwivedi has made significant contributions to the fields of biometrics, machine learning, and computer vision. His research has primarily focused on developing novel approaches for cancelable iris and fingerprint template generation, rotation-invariant iris code generation, and privacy-preserving biometric systems. He has also explored score-level and hybrid fusion schemes for protected multimodal biometric verification and secure communication systems using fingerprint-based cryptographic techniques. Additionally, his work on BCI (Brain-Computer Interface) systems has advanced the classification of EEG signals and the development of motor imagery-based systems.

Accolades and Recognition

Throughout his career, Dr. Dwivedi has received numerous awards and recognitions. These include the Third Prize at the Fifth IDRBT Doctoral Colloquium in 2015, the MHRD TA Fellowship for his Ph.D. studies, a Summer Research Fellowship at IIT Delhi in 2012, and a high percentile in the GATE 2011 exam, which secured him an MHRD TA Fellowship for his M.Tech. studies. He has also been awarded the State Meritorious Student Award and the National Talent Search Examination Scholarship during his early academic years.

Impact and Influence

Dr. Dwivedi's research has had a substantial impact on the field of biometric security, particularly in developing methods for protecting biometric templates. His work on cancelable biometrics and secure communication systems has contributed to enhancing privacy and security in biometric applications. His publications in esteemed journals and conferences have garnered attention and citations, reflecting his influence in the academic community.

Legacy and Future Contributions

Dr. Dwivedi's legacy is marked by his innovative contributions to biometric security and machine learning. His ongoing research continues to push the boundaries of these fields, promising further advancements in secure biometric systems and AI-based solutions. As a dedicated educator and researcher, Dr. Dwivedi's future contributions are anticipated to significantly impact both academia and industry, fostering the development of more secure and efficient biometric technologies.

 

Notable Publications

An efficient ensemble explainable AI (XAI) approach for morphed face detection 2024

Explainable AI (XAI): Core Ideas, Techniques and Solutions 2022 (161)

A Leaf Disease Detection Mechanism Based on L1-Norm Minimization Extreme Learning Machine 2021 (10)

A fingerprint based crypto-biometric system for secure communication 2019 (20)

Score-level fusion for cancelable multi-biometric verification 2019 (25)

 

 

 

 

 

 

 

 

 

 

Sunandan Magotra | Engineering | Best Researcher Award

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Mr. Sunandan Magotra | Engineering | Best Researcher Award

NIT Jalandhar | India 

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Early Academic Pursuits

Sunandan Magotra's academic journey began at KV No1 Gandhinagar Jammu, where he excelled in his 10th and 12th grades, achieving a 9.2 CGPA and 75.8% respectively. His passion for civil engineering led him to pursue a Bachelor of Engineering (BE) in Civil Engineering from the Government College of Engineering and Technology, Jammu, where he graduated with a 67.04% score. His academic excellence continued with an M.Tech in Structural Engineering from NIT Jalandhar, marking a significant step in his academic career.

Professional Endeavors

During his M.Tech studies, Sunandan successfully passed the GATE exam twice, showcasing his technical prowess and dedication to his field. He is currently preparing for higher exams like the Engineering Services Examination (ESE) and Public Service Commission (PSC) exams, demonstrating his commitment to advancing his professional qualifications. His educational background and certifications reflect a solid foundation in structural engineering and a dedication to continuous professional development.

Contributions and Research Focus

Sunandan has contributed significantly to the field of civil engineering through various projects. His work includes a seminar on Earthquake Resistant Construction Techniques during his BE, a detailed estimate of a government building as a minor project, and a major project focused on Soil Liquefaction Mitigation. These projects highlight his expertise in structural engineering and his ability to apply theoretical knowledge to practical challenges.

Accolades and Recognition

While specific awards and accolades are not detailed, Sunandan's successful passage of the GATE exam twice is a noteworthy achievement in the engineering community. His role as a mentor during his M.Tech studies also speaks to his leadership abilities and his recognition by peers and juniors as a knowledgeable and supportive figure.

Impact and Influence

Sunandan's ability to connect with and mentor junior colleagues has had a positive impact on his academic environment. His public speaking skills and dedication to his interests have likely inspired those around him, fostering a collaborative and supportive learning atmosphere. His commitment to excellence in both his studies and professional exams underscores his influence as an emerging leader in the field of structural engineering.

Legacy and Future Contributions

Sunandan Magotra's journey is marked by a continuous pursuit of excellence and a commitment to professional growth. As he looks forward to new opportunities, he aims to refine his existing skills and cultivate new ones, positioning himself as a future contributor to the field of structural engineering. His potential legacy includes not only his technical contributions but also his role as a mentor and leader, guiding future generations of engineers.

 

Notable Publications

A Review on durability and microstructure of Fly-Ash based geopolymer concrete (FA-GPC) 2024

Rubby Mahajan | Materials Science | Best Researcher Award

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Dr. Rubby Mahajan | Materials Science | Best Researcher Award

Shri Mata Vaishno Devi University | India

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Early Academic Pursuits

Dr. Rubby Mahajan embarked on her academic journey with a strong foundation in Physics, earning a Ph.D. in 2021 from Shri Mata Vaishno Devi University, Katra. Her doctoral research focused on the synthesis and spectral studies, particularly in spectroscopy, following a M.Sc. in Condensed Matter Physics and a B.Sc. with a diverse curriculum including English, Mathematics, Physics, and Computer Applications.

Professional Endeavors

Dr. Rubby Mahajan has accumulated extensive teaching experience alongside her research pursuits. She taught for over four years at the School of Physics in SMVDU Katra during her research period. Additionally, she served as an Assistant Professor at University Institute of Engineering and Technology (UIET), Janglote, University of Jammu, and Govt. Degree College Kishtwar, Jammu & Kashmir.

Contributions and Research Focus

Dr. Rubby Mahajan's research revolves around the structural and optical characterization of various phosphors doped with rare-earth ions. Her work has significantly contributed to understanding the luminescent properties and applications of materials like magnesium pyrophosphate, zinc aluminate, and others. Her expertise lies in synthesizing and evaluating these materials for potential technological applications.

Accolades and Recognition

Dr. Rubby Mahajan's contributions have been recognized through numerous publications in reputable journals such as the Journal of Alloys and Compounds, Journal of Materials Science, and Optik. Her papers have consistently contributed to the scientific community, earning recognition in terms of impact factor and citation counts.

Impact and Influence

Beyond her research, Dr. Rubby Mahajan's impact extends to her active participation in conferences and symposia where she presents her findings, influencing the academic discourse in materials science and photonics. Her role as an educator has also influenced the next generation of physicists and researchers.

Legacy and Future Contributions

Dr. Mahajan's legacy in the field of spectroscopy and materials science continues to grow through her ongoing research and academic contributions. Her future endeavors aim to delve deeper into the synthesis of novel phosphors and their applications in areas such as solid-state lighting and displays.

 

Notable Publications

Spectroscopic study of yellowish white light emitting MgP2O6: Dy3+ phosphor 2024

Influence of Sm3+ ion doping on the surface and photoluminescence properties of Ba3Zr2O7 phosphor 2023 (5)

A review report on structural and optical characterization of rare earth/transition metal doped pyrophosphate phosphors 2022 (3)

Effect of Eu3+ activator on spectral investigation of red emitting MgP2O6 phosphate 2022 (4)

X-ray photoemission and spectral investigations of Dy3+ activated magnesium pyrophosphate phosphors 2019 (39)

 

 

 

Tatiana Romero Arias | Health Professions | Best Researcher Award

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Prof Dr. Tatiana Romero Arias | Health Professions | Best Researcher Award

European University of the Canary Islands | Spain

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Early Academic Pursuits

Dr. Tatiana Romero Arias began her academic journey in her native Spain, focusing on Speech Therapy at the University of La Laguna. She completed her Higher Degree in Speech Therapy in 2014, followed by a Master's in Cognitive Neuroscience and Specific Support Needs in 2015. She continued her academic pursuits with an additional Master's in Voice Rehabilitation from the Autonomous University of Barcelona in 2016. Her educational trajectory culminated in a doctoral degree in Psychology from the University of La Laguna in 2021.

Professional Endeavors

Dr. Romero Arias' professional career is marked by significant contributions in research and academia. She served as Research Staff in Training at the University of La Laguna and later as Postdoctoral Research Staff at the Ministry of Science and Innovation. Currently, she holds the position of Assistant Professor Doctor at the Pontifical University of Salamanca, specializing in Speech Therapy within the Faculty of Health Sciences.

Contributions and Research Focus

Her research focuses on various aspects of Speech Therapy and Cognitive Neuroscience, with notable contributions in voice rehabilitation, neurological disorders affecting speech, and educational practices in the field of speech therapy. She has led and participated in several research projects exploring these areas, including studies on vocal tract exercises and the rehabilitation of speech post-COVID-19.

Accolades and Recognition

Dr. Romero Arias has garnered recognition for her scholarly work, evidenced by her publications in reputable journals such as the Journal of Speech Therapy Research and Majorensis. Her contributions to the field have been acknowledged through invitations to speak at seminars and conferences, both nationally and internationally.

Impact and Influence

Her work has had a tangible impact on both academic discourse and clinical practice in Speech Therapy. By exploring innovative approaches to therapy and contributing to educational initiatives, she has shaped the way professionals approach speech rehabilitation and neurological disorders.

Legacy and Future Contributions

Looking ahead, Dr. Romero Arias continues to expand her research agenda, aiming to further integrate technological advancements into clinical practice and educational frameworks. Her dedication to mentoring students and her involvement in international research collaborations underscore her commitment to advancing the field of Speech Therapy.

Notable publications

Clinical indicators of dysphagia in patients with Parkinson disease 2024

Voice assessment and intervention in patients with Sexually Transmitted Diseases: a systematic review 2024

Biomechanical Parameters of Voice in Parkinson’s Disease Patients 2024

Efficacy of semi-occluded vocal tract exercises in essential tremor: a case study 2023

Voice Sequelae Following Recovery From COVID-19 2022 (5)