Shahid Mohammad Ganie | Computer Science | Best Researcher Award

Dr. Shahid Mohammad Ganie | Computer Science | Best Researcher Award

AI Research Centre, Woxsen University, India

Author Profile

Early Academic Pursuits 🎓✨

Dr. Shahid Mohammad Ganie’s academic journey is a testament to his dedication to excellence. He began his higher education by earning a Bachelor’s degree in Mathematics (B.Sc) from the prestigious University of Kashmir, laying a strong foundation in analytical and logical reasoning. He further pursued a Master’s degree in Computer Applications (MCA) from the School of Mathematical and Computer Sciences, BGSB University, Jammu and Kashmir, where he excelled as a Gold Medalist, showcasing his commitment to academic brilliance.

Dr. Ganie’s passion for innovation and technology led him to complete his Ph.D. in Healthcare Informatics from the same institution. During his doctoral research, he focused on the intersection of artificial intelligence and healthcare, a domain that continues to define his professional endeavors and contributions.


Professional Endeavors 💼💡

Currently serving as an Assistant Professor and Research Scientist at the AI Research Centre, Woxsen University, Hyderabad, Dr. Ganie has amassed over 2 years of teaching experience at both undergraduate and postgraduate levels. His dual role as an academic and researcher enables him to bridge theoretical knowledge with practical applications, particularly in cutting-edge fields like Explainable AI, Data Analytics, and Machine Learning.

Dr. Ganie also leads as the Program Director of MBA (BA, AI & ML) at Woxsen University. His leadership in this interdisciplinary program emphasizes integrating business acumen with technological advancements, preparing students to thrive in the AI-driven future.

As a Technology Advisory Board member of the AI Research Centre, he actively contributes to shaping the institution’s strategic direction, fostering innovation, and enhancing industry-academia collaboration.


Contributions and Research Focus 🔍🧠

Dr. Ganie’s research interests are diverse and impactful, encompassing Data Analytics, Explainable AI, Machine Learning, Deep Learning, Healthcare Informatics, and Medical Image Computing. His dedication to advancing these fields is evident through his extensive body of work:

  • Publications: Over 30 research articles in refereed journals, edited books, and renowned international conferences, highlighting his thought leadership in AI and healthcare informatics.
  • Patents: Holder of 2 patents in the healthcare domain, underscoring his innovative contributions to improving medical technologies.
  • Books: Editor of 2 books, published by reputed publishers like Elsevier and Taylor and Francis, further cementing his expertise and influence in the academic community.

His focus on Explainable AI ensures that AI systems remain transparent, interpretable, and trustworthy, particularly in healthcare informatics, where patient safety and ethical considerations are paramount.


Accolades and Recognition 🏆🌟

Dr. Ganie’s exemplary contributions have been recognized through numerous awards and honors:

  • Best Researcher Awards: He was bestowed with the Best Researcher Awards by the School of Business at Woxsen University for consecutive academic years, 2023 and 2024, in recognition of his outstanding research output.
  • Research Grants: Recipient of prestigious research grants that have enabled him to undertake groundbreaking projects in AI and healthcare.

These accolades are a testament to his relentless pursuit of excellence and his ability to inspire and lead within the academic and research community.


Impact and Influence 🌍🔗

Dr. Ganie’s work has far-reaching implications across academia and industry. As a mentor and Chair Professor, he nurtures the next generation of scholars, encouraging them to explore innovative solutions to real-world challenges. His role as a Technology Advisory Board member ensures that his insights shape institutional strategies, fostering growth and innovation.

His emphasis on AI-driven innovations in healthcare has the potential to revolutionize patient care by making diagnostic tools more accurate, accessible, and ethical.


Legacy and Future Contributions 🚀📚

Looking ahead, Dr. Ganie aims to continue advancing the fields of Data Analytics, Machine Learning, and Healthcare Informatics, driving AI innovations that benefit society. His ongoing projects, combined with his leadership roles, ensure that his impact will resonate for years to come.

As a dedicated mentor, he strives to inspire his students to become leaders in their respective fields. His commitment to bridging academia and industry is pivotal in fostering collaboration and ensuring the practical relevance of academic research.

Citations

A total of 187 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations        187
  • h-index          23
  • i10-index       08

Notable Publications

  • Title: An Investigation of Ensemble Learning Techniques for Obesity Risk Prediction Using Lifestyle Data
    Authors: Ganie, S.M., Reddy, B.B., K, H., Rege, M.
    Journal: Decision Analytics Journal
    Year: 2025.
  • Title: Improved Liver Disease Prediction from Clinical Data through an Evaluation of Ensemble Learning Approaches
    Authors: Ganie, S.M., Dutta Pramanik, P.K., Zhao, Z.
    Journal: BMC Medical Informatics and Decision Making
    Year: 2024.
  • Title: Correction to: VER-Net: A Hybrid Transfer Learning Model for Lung Cancer Detection Using CT Scan Images
    Authors: Saha, A., Ganie, S.M., Dutta Pramanik, P.K., Mallik, S., Zhao, Z.
    Journal: BMC Medical Imaging
    Year: 2024.
  • Title: VER-Net: A Hybrid Transfer Learning Model for Lung Cancer Detection Using CT Scan Images
    Authors: Saha, A., Ganie, S.M., Pramanik, P.K.D., Mallik, S., Zhao, Z.
    Journal: BMC Medical Imaging
    Year: 2024.
  • Title: A Comparative Analysis of Boosting Algorithms for Chronic Liver Disease Prediction
    Authors: Ganie, S.M., Dutta Pramanik, P.K.
    Journal: Healthcare Analytics
    Year: 2024.

Anushka Joshi | Data Science | Best Researcher Award

Ms. Anushka Joshi | Data Science | Best Researcher Award

Indian Institute of Technology, Roorkee, India

Author Profile

Early Academic Pursuits 🌟📘

Anushka Joshi’s journey in the realm of academia has been marked by her unwavering dedication and stellar achievements. From her school days, she displayed an exceptional aptitude for computer science, culminating in her receiving the CBSE Computer Science School Topper Award in 2016. Her academic foundation was further solidified during her B.Tech in Computer Science and Engineering (CSE) at Govind Ballabh Pant Institute of Engineering and Technology, Pauri, where she graduated with an impressive 85.4% in 2020, earning a first-division distinction.

This strong base enabled her to secure a remarkable GATE rank of 599 in CSE (2022), opening the doors to prestigious institutions for her postgraduate studies. Her journey reflects her commitment to academic excellence and her passion for technology. 🎓💻


Professional Endeavors 🚀💼

Anushka embarked on her M.Tech in CSE at the esteemed Indian Institute of Technology (IIT) Hyderabad from 2020 to 2022. Here, she maintained an exceptional CGPA of 9.8, showcasing her in-depth understanding and expertise in her field. During her tenure, she was honored with the Student Excellence Award (2022), a testament to her outstanding academic and extracurricular contributions.

Her M.Tech thesis, which focused on utilizing machine learning for earthquake systems, earned her an A+ (outstanding grade), highlighting her ability to apply computational techniques to real-world problems. Additionally, Anushka won the Build Project competition in 2022, further demonstrating her technical prowess and innovative thinking. 🏆💡

Anushka’s professional journey reached greater heights when she joined the Ph.D. program in CSE at IIT Roorkee in 2022. Her exceptional work and potential earned her the prestigious Prime Minister’s Research Fellowship (PMRF), enabling her to delve deeper into groundbreaking research. Currently, she maintains a perfect 10 CGPA, reflecting her continued excellence. 📊🔬


Contributions and Research Focus 📑🔍

Anushka’s research revolves around applying advanced machine learning (ML) and artificial intelligence (AI) methodologies to solve pressing issues in various domains. Her M.Tech thesis demonstrated her capability to model earthquake systems using ML, contributing valuable insights for disaster management and prediction.

As a Ph.D. scholar at IIT Roorkee, she continues to push the boundaries of computational research, working on innovative projects that address critical challenges. Her contributions, underpinned by her technical acumen, have the potential to create significant societal impacts, especially in areas involving environmental sustainability and disaster resilience. 🌏🤖


Accolades and Recognition 🏅✨

Throughout her academic and professional journey, Anushka has amassed numerous accolades, cementing her reputation as a brilliant scholar:

  • CBSE Computer Science School Topper Award (2016) 🏫
  • Student Excellence Award at IIT Hyderabad (2022) 🎖️
  • A+ (Outstanding Grade) for M.Tech Thesis 📜
  • Build Project Competition Winner (2022) 🥇
  • PMRF Fellowship Recipient for exemplary research potential 🎓

These achievements reflect her dedication, hard work, and ability to excel in diverse academic pursuits. 🏆🎉


Impact and Influence 🌟🌐

Anushka’s work has not only contributed to the academic community but has also inspired peers and juniors to aim for excellence. Her involvement in pioneering projects and her academic distinction serve as a source of motivation for aspiring students in the field of computer science and engineering. 💻📈

Her research on earthquake systems has practical implications for disaster preparedness, potentially saving lives and reducing infrastructure damage. By leveraging AI and ML, Anushka is contributing to advancements that bridge the gap between technology and societal needs. 🌍💡


Legacy and Future Contributions 🔮🛠️

As Anushka continues her Ph.D. at IIT Roorkee, she is poised to leave a lasting legacy in her field. Her relentless pursuit of knowledge and innovation ensures that her contributions will extend far beyond academia, impacting industries and communities alike.

In the future, she envisions collaborating with global researchers and institutions to further her work, making strides in AI-driven solutions for environmental challenges and disaster management. With her strong foundation, passion for learning, and commitment to excellence, Anushka is set to shape the future of technology and its applications for societal benefit. 🚀🌌

Citations

A total of 169 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations        169
  • h-index           08
  • i10-index        04

Notable Publications 

  • IsoMapGen: Framework for Early Prediction of Peak Ground Acceleration Using Tripartite Feature Extraction and Gated Attention Model
    • Authors: Joshi, A., Singh, P., Raman, B.
    • Journal: Computers and Geosciences
    • Year: 2025.
  • An Integrated Approach for Prediction of Magnitude Using Deep Learning Techniques
    • Authors: Joshi, A., Raman, B., Mohan, C.K.
    • Journal: Neural Computing and Applications
    • Year: 2024.
  • Application of XGBoost Model for Early Prediction of Earthquake Magnitude from Waveform Data
    • Authors: Joshi, A., Vishnu, C., Mohan, C.K., Raman, B.
    • Journal: Journal of Earth System Science
    • Year: 2024.
  • A New Machine Learning Approach for Estimating Shear Wave Velocity Profile Using Borelog Data
    • Authors: Joshi, A., Raman, B., Mohan, C.K., Cenkeramaddi, L.R.
    • Journal: Soil Dynamics and Earthquake Engineering
    • Year: 2024.
  • A Deep Attention Model for Onsite Estimation of Earthquake Epicenter Distance and Magnitude
    • Authors: Joshi, A., Singh, P., Raman, B.
    • Journal: IEEE Transactions on Geoscience and Remote Sensing
    • Year: 2024.

SHUBHANI AGGARWAL | Computer Science | Best Researcher Award

Dr. SHUBHANI AGGARWAL | Computer Science | Best Researcher Award

AMITY UNIVERSITY, India

Author Profile

Early Academic Pursuits 🎓

Dr. Aggarwal’s academic journey began with a B.Tech in Computer Engineering from the University College of Engineering, Punjabi University, Patiala (2011–2015). Her undergraduate years were marked by curiosity and excellence, laying a robust foundation in computer engineering.

Continuing her passion for learning, she pursued an M.E. in Computer Science and Engineering at Panjab University, Chandigarh (2015–2017). Her thesis, titled “Load Balancing and Clustering Scheme for Real-Time VoIP Applications”, showcased her ability to solve complex problems in real-time communication systems. Under the mentorship of Dr. Sakshi Kaushal and Dr. Harish Kumar, she honed her research skills, preparing her for future academic endeavors.

Her most significant academic achievement is her Ph.D. in Computer Science and Engineering from the Thapar Institute of Engineering and Technology, Patiala (2018–2023). Her doctoral thesis, “An Efficient Decentralized Secure Energy Management Framework for Smart Grid System”, reflects her expertise in energy systems, blockchain, and cybersecurity. Guided by Dr. Neeraj Kumar, one of India’s top computer science researchers, she demonstrated exemplary dedication and technical prowess. 🔐⚡


Professional Endeavors 🏫

Dr. Aggarwal’s professional career is defined by her dual focus on education and research. Since August 2022, she has been an Assistant Professor at Amity University Punjab, contributing significantly to both undergraduate and postgraduate programs. Her teaching portfolio includes a wide array of subjects, such as:

  • Computer Networks
  • IoT and Blockchain Technologies
  • Secure Communication and Cryptography
  • Web and Mobile Security
  • Data Mining and Business Intelligence
  • Design Thinking 💡

Dr. Aggarwal’s teaching approach emphasizes creativity, critical thinking, and real-world applications, inspiring students to excel in their academic and professional pursuits.


Contributions and Research Focus 🔬

Dr. Aggarwal’s research interests align with contemporary challenges in technology. Her key areas include:

  • Blockchain: Exploring decentralized systems for secure energy management in smart grids.
  • Cybersecurity: Developing frameworks to secure communication and cryptographic protocols. 🔒
  • IoT and Smart Grids: Designing efficient, decentralized systems for real-time data processing.
  • Artificial Intelligence and Machine Learning: Leveraging AI for data mining and business intelligence. 🤖📊

Her doctoral research introduced a groundbreaking framework for secure energy management in smart grids, enhancing the efficiency and security of energy systems. She has also explored load balancing and clustering techniques, addressing real-time VoIP challenges.


Accolades and Recognition 🏆

Dr. Aggarwal’s contributions to academia and research have earned her several prestigious accolades:

  1. World’s Top 2% Scientist Recognition by Stanford University (2023, 2024).
  2. Recognition for her impactful teaching and curriculum design at Amity University Punjab.

Her academic and professional achievements underscore her commitment to excellence in education and research. 🌟


Impact and Influence 🌍

As an educator, Dr. Aggarwal has shaped the careers of countless students, inspiring them to think innovatively and pursue ambitious goals. Her research has contributed significantly to advancing knowledge in blockchain technology, cybersecurity, and smart systems.

Her work in smart grids has the potential to revolutionize energy management, promoting sustainability and efficiency in a digitally connected world. Her passion for teaching and research has created a ripple effect, influencing students and peers alike. 🌱


Legacy and Future Contributions 🚀

Dr. Aggarwal’s future endeavors aim to bridge the gap between academia and industry. She envisions:

  1. Developing innovative teaching methodologies to prepare students for the rapidly evolving tech landscape. 📚
  2. Expanding her research into smart cities, AI-driven systems, and cybersecurity frameworks for large-scale applications.
  3. Collaborating internationally to solve global challenges in energy, communication, and technology.

Her legacy lies in her ability to seamlessly integrate teaching and research, fostering an environment of learning, innovation, and collaboration. As a mentor, researcher, and educator, Dr. Shubhani Aggarwal continues to leave an indelible mark on the academic and technological community. ✨

Citations

A total of 2,006 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations        2,006
  • h-index          44
  • i10-index       16

Notable Publications

  • A Blockchain-Based Secure Path Planning in UAVs Communication Network
    • Authors: Aggarwal, S., Budhiraja, I., Garg, S., Choi, B.J., Hossain, M.S.
    • Journal: Alexandria Engineering Journal
    • Year: 2025.
  • Blockchain-Based Content Retrieval Mechanism in NDN-Enabled V2G Networks
    • Authors: Aggarwal, S., Kumar, N., Mohammad, N., Barnawi, A.
    • Journal: IEEE Transactions on Industrial Informatics
    • Year: 2024.
  • BlockTwins: Blockchain Empowered Supply Chain Digital Twins in Metaverse
    • Authors: Aggarwal, S., Kumar, N., Singh, A., Aujla, G.S.
    • Conference: 2024 IEEE International Conference on Communications Workshops (ICC Workshops)
    • Year: 2024.
  • Authentication of Smart Grid by Integrating QKD and Blockchain in SCADA Systems
    • Authors: Aggarwal, S., Kaddoum, G.
    • Journal: IEEE Transactions on Network and Service Management
    • Year: 2024.
  • Fog Computing for 5G-Enabled Tactile Internet: Research Issues, Challenges, and Future Research Directions
    • Authors: Aggarwal, S., Kumar, N.
    • Journal: Mobile Networks and Applications
    • Year: 2023.

Dattatray Takale | Machine Learning | Best Researcher Award

Dr. Dattatray Takale | Machine Learning | Best Researcher Award

Vishwakarma Institute of information Technology, Pune, India

Author Profile

Early Academic Pursuits 📚

Dr. Dattatray G. Takale’s journey in the field of Computer Science and Engineering began with a strong foundation laid during his formative years. Completing his SSC with an impressive 70% from Pune Board in 2007, he displayed academic diligence early on. In 2009, he earned his HSC certification, achieving a commendable 59%, showcasing his growing interest in science and technology.

His academic trajectory took a significant leap when he pursued a Bachelor of Engineering (BE) in Computer Science and Engineering from Savitribai Phule Pune University (SPPU), graduating in 2013 with a solid 60%. Dr. Takale’s thirst for knowledge propelled him further, leading to a Master of Engineering (ME) in 2015 from the same university, where he excelled with an impressive 8.04 grade. His crowning academic achievement came in February 2022 when he earned a Ph.D. in Computer Science and Engineering from JJTU, Rajasthan, with a stellar grade of 8.0.

Professional Endeavors 💼

Dr. Takale’s professional journey is marked by versatility and dedication, blending academia and industry expertise. He began his career as a Lecturer at GRD Soft Tech, Baramati (2013-2014), setting the stage for his academic pursuits. Subsequently, he honed his teaching skills as an Assistant Professor at SIETC Paniv, Solapur (2015-2017) and Dattakala Group of Institutes, Faculty of Engineering, Pune (2017-2019).

Expanding his horizons, Dr. Takale ventured into the industry as a Software Engineer at Landmark Techedge Pvt. Ltd (2019-2022), gaining valuable experience in data engineering, SQL development, and website design. Since September 2022, he has been serving as an Assistant Professor at the prestigious Vishwakarma Institute of Information Technology, Pune. With over 11 years of diverse experience, Dr. Takale seamlessly bridges the gap between academia and industry.

Contributions and Research Focus 🖋️

Dr. Takale’s contributions extend beyond teaching. He is an expert in research paper writing, Turnitin plagiarism tools, and educational project implementation. His technical acumen includes proficiency in programming languages like C, C++, Python, and Visual Basic, along with expertise in software engineering, data structures, algorithms, and network simulation tools like NS-2 and NS-3.

A significant part of his research is centered on Wireless Sensor Networks, intellectual property rights (IPR), patent and copyright drafting, and network simulations. His deep understanding of HTML, XML, and PHP, coupled with tools like Latex and Mendeley, underscores his dedication to advancing research methodologies.

Accolades and Recognition 🏆

Dr. Takale’s excellence has earned him recognition from peers and institutions alike. His ability to manage academic responsibilities, solve complex problems, and foster teamwork highlights his dynamic skill set. Known for his sincerity, willingness to learn, and exemplary communication skills, he is a valued educator and researcher.

His expertise in guiding students through challenging subjects like Discrete Mathematics, Data Structures, and Design and Analysis of Algorithms has made him a sought-after mentor in undergraduate education. Dr. Takale’s commitment to fostering innovation is evident in his ability to navigate both theoretical and practical aspects of computer science.

Impact and Influence 🌍

Dr. Takale has significantly influenced students and colleagues with his analytical mindset and problem-solving skills. His dual experience in academia and industry allows him to prepare students for real-world challenges. By integrating modern tools and technologies into the curriculum, he ensures that students are well-versed in both foundational and advanced topics.

Legacy and Future Contributions 🚀

As a dedicated researcher and educator, Dr. Takale’s legacy lies in his unwavering commitment to excellence. He aspires to contribute further to the academic and technological landscape by fostering innovation and research. His vision includes empowering students to excel in programming, software development, and research while promoting ethical practices through tools like Turnitin.

In the future, Dr. Takale aims to expand his research in Wireless Sensor Networks and IPR, driving advancements in these critical fields. His multifaceted expertise and passion for education position him as a pivotal figure in shaping the next generation of tech leaders.

Citations

A total of 17 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         17
  • h-index           25
  • i10-index        02

Notable Publications 

  • Title: Mathematical Modeling of Electrical Power Systems for Fault Detection
    Authors: Mane, P.P., Dhawas, N., Tarambale, M., Kumar, J.R.R., Ajani, S.N.
    Journal: Communications on Applied Nonlinear Analysis
    Year: 2025.
  • Title: Mathematical Approaches to Circuit Optimization in VLSI Design
    Authors: Navandar, R.K., Gosavi, G.V., Palkar, I.M., Dhablia, A., Pawar, A.M.
    Journal: Advances in Nonlinear Variational Inequalities
    Year: 2025.
  • Title: An Energy Efficient Routing Protocol with Fuzzy Neural Networks in Wireless Sensor Network
    Authors: Harihara Gopalan, S., Takale, D.G., Jayaprakash, B., Pandiya Raj, V.
    Journal: Ain Shams Engineering Journal
    Year: 2024.
  • Title: Enhancing Document Summarization with Machine Learning Approaches for Single and Multiple Documents
    Authors: Deshmukh, G.B., Takale, D.G., Gawali, P.P., Patil, S.A., Lahve, R.
    Journal: Lecture Notes in Networks and Systems
    Year: 2024.
  • Title: Optimizing Content-Based Image Retrieval System Using Convolutional Neural Network Models
    Authors: Kashid, S.S., Takale, D.G., Gawali, P.P., Deshpande, A.V., Salve, B.S.
    Journal: Lecture Notes in Networks and Systems
    Year: 2024.

Nishu Goyal | Omics data analysis | Women Researcher Award

Dr. Nishu Goyal | Omics data analysis | Women Researcher Award

UPES, India

Author Profile

Early Academic Pursuits 📘🎓

Dr. Nishu Goyal’s academic journey is a testament to her unwavering passion for biotechnology and chemical engineering. She embarked on this path with a Bachelor of Technology (B.Tech) in Biotechnology from Guru Gobind Singh Indraprastha University (GGSIPU), Delhi, graduating in 2008 with an impressive 78.2%. Her coursework spanned diverse fields such as Cell and Molecular Biology, Recombinant DNA Technology, and Environmental Biotechnology, equipping her with a strong foundation in the biosciences.

Her thirst for knowledge led her to pursue a Master of Technology (M.Tech) in Biosciences and Bioengineering at the prestigious Indian Institute of Technology Bombay (IITB). From 2008 to 2010, she achieved an exceptional CAP of 9.47/10, excelling in advanced subjects such as Biomathematics, Computational Biology, and Advanced Biomaterials. This rigorous training honed her analytical and research skills.

In pursuit of academic excellence, she earned a Doctor of Philosophy (Ph.D.) in Chemical and Biomolecular Engineering from the National University of Singapore (NUS). During her tenure from 2011 to 2015, she achieved a CAP of 4.25/5, delving into specialized coursework like Mathematical Methods in Chemical and Environmental Engineering and Bioinformatics & Biocomputing. Her Ph.D. journey exemplified her commitment to interdisciplinary research and innovation. 🌱📊


Professional Endeavors 🏢✨

Dr. Goyal’s professional journey has been marked by significant contributions as an Associate Professor. She has brought her expertise to both academia and industry, bridging the gap between theoretical knowledge and practical applications. Her teaching portfolio includes critical subjects like Modeling and Simulations, Instrumental Methods of Analysis, and Genetic Engineering, where she has inspired and mentored countless students.

Beyond teaching, Dr. Goyal has been actively involved in cutting-edge research. Her dedication to innovation is evident in her work on bio-nanotechnology and computational biology, where she has explored groundbreaking solutions to global challenges. Her ability to translate complex scientific concepts into practical applications has established her as a thought leader in her field. 🌍🔬


Contributions and Research Focus 🧬💡

Dr. Goyal’s research interests lie at the intersection of biotechnology, chemical engineering, and computational sciences. Her work has primarily focused on:

  • Modeling and Simulations in Biology: Developing predictive models to understand biological systems.
  • Bio-nanotechnology: Innovating materials at the nanoscale for medical and environmental applications.
  • Environmental Biotechnology: Tackling pressing environmental issues through sustainable biotechnological solutions.
  • Advanced Biomaterials: Designing materials for regenerative medicine and drug delivery systems.

Her research has been published in high-impact journals, showcasing her ability to address complex problems through interdisciplinary approaches. 📚🌐


Accolades and Recognition 🏆🌟

Dr. Goyal’s achievements have been recognized at national and international levels. Highlights of her accolades include:

  • Top Graduate CAP Scores: At both IIT Bombay and NUS, she ranked among the top performers.
  • Research Grants: Secured prestigious funding for her work on bio-nanotechnology and biomolecular engineering.
  • Invited Speaker: Delivered talks at global conferences on topics like Biostatistics and Computational Biology.

Her ability to excel academically and professionally while inspiring others has solidified her reputation as a trailblazer in her field. 🌟📈


Impact and Influence 🌏🤝

Dr. Goyal has had a profound impact on the scientific community and beyond:

  • Mentorship: She has guided numerous students and young researchers, fostering a culture of curiosity and innovation.
  • Industry Collaboration: Partnered with industries to develop scalable solutions for environmental and biomedical challenges.
  • Global Networks: Built collaborations with leading institutions worldwide, promoting knowledge exchange and interdisciplinary research.

Her work continues to influence policy-making, especially in the domains of sustainable engineering and advanced biotechnology.


Legacy and Future Contributions 🌟🚀

As a visionary scientist, Dr. Goyal is committed to leaving a lasting legacy:

  • Education: Enhancing curricula with cutting-edge research insights and fostering interdisciplinary learning.
  • Research Innovation: Pioneering new techniques in genetic engineering, bioinformatics, and nanotechnology.
  • Global Challenges: Addressing critical issues like climate change, disease eradication, and renewable energy integration.

Dr. Goyal’s relentless pursuit of excellence and dedication to shaping the future of biotechnology and chemical engineering will continue to inspire generations of scientists and engineers. 🌟📘

Citations

A total of 244 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations        244
  • h-index          13
  • i10-index       06

Notable Publications 

  • Title: Synergistic insights into pesticide persistence and microbial dynamics for bioremediation
    Authors: Ray, S.S., Parihar, K., Goyal, N., Mahapatra, D.M.
    Journal: Environmental Research
    Year: 2024.
  • Title: Effect of Microplastic Pollution on Soil, Plants, and Soil Microbes
    Authors: Kandpal, R., Goyal, N.
    Book Chapter: Microplastics in the Terrestrial Environment: Pathways and Remediation Strategies
    Year: 2024.
  • Title: A cohesive effort to assess the suitability and disparity of carbon nanotubes for water treatment
    Authors: Goyal, N., Nawaz, A., Chandel, K.S., Lee, M., Sharma, A.K.
    Journal: Environmental Science and Pollution Research
    Year: 2023.
  • Title: A critical review on biochar production from pine wastes, upgradation techniques, environmental sustainability, and challenges
    Authors: Sharma, A.K., Ghodke, P.K., Goyal, N., Lin, K.-Y.A., Chen, W.-H.
    Journal: Bioresource Technology
    Year: 2023.
  • Title: Carbon conversion by Methanococcus maripaludis S2 under diazotrophy and a revised genome-scale metabolic model
    Authors: Vo, C.H., Goyal, N., Kraft, M., Karimi, I.A.
    Journal: Chemical Engineering Science
    Year: 2023.

Meena .K | Computer Science | Best Researcher Award

Prof. Meena .K | Computer Science | Best Researcher Award

GITAM Deemed to be University, India

Author Profile

Early Academic Pursuits 🌱📚

Prof. K. Meena’s academic journey began with a remarkable foundation in science and engineering. She displayed exceptional scholastic aptitude during her school years, achieving 91% in Higher Secondary School (HSC) at Mary Sargent Higher Secondary School, Palayamkottai, and 89% in SSLC at Government Higher Secondary School, Pettai. Her consistent excellence paved the way for her higher education pursuits.Her undergraduate studies culminated in a Bachelor of Engineering (B.E.) in Electronics and Communication Engineering from Jeyamatha Engineering College, Tirunelveli, in 2002, where she graduated with an impressive 82.4% first class with distinction. Driven by a passion for computing, she pursued her Master of Engineering (M.E.) in Computer Science and Engineering at Manonmaniam Sundaranar University, achieving 83.4% first class with distinction in 2009.Prof. Meena’s academic pinnacle came with her Ph.D. in Computer Science and Engineering from the same university in 2014. Her research focused on “Face Recognition under Real-Time Challenges using Texture and Multiresolution Techniques,” a cutting-edge area in biometrics. 🌟


Professional Endeavors 💼🚀

Prof. Meena’s career reflects a steady progression through various academic and administrative roles. She began as a Lecturer at PSN College of Engineering and Technology (2005–2007), where she honed her teaching skills in the Department of Electronics and Communication Engineering.From 2007 to 2013, she served as an Assistant Professor and Head of the Department (HOD) at Sardar Raja College of Engineering, Alangulam. Her leadership skills became evident as she managed departmental activities and mentored students.She continued her role as HOD at J.P. College of Engineering, Alangulam (2013–2014), before transitioning to VV College of Engineering, Tisaiyanvilai, as an Assistant Professor in the Computer Science & Engineering (CSE) Department.In 2016, Prof. Meena joined Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, where she spent over six years as a Professor in CSE. She furthered her career at GITAM University, Bengaluru, first as an Associate Professor (2022–2023) and later as a Professor (2023–present) in the CSE Department. 🏫🎓


Contributions and Research Focus 🔬📖

With over 19 years of research experience, Prof. Meena’s work primarily spans biometrics, computer vision, machine learning, pattern recognition, and computer communication. Her Ph.D. research addressed real-world challenges in face recognition, employing innovative techniques that combined texture and multiresolution methods.Prof. Meena has published more than 80 research articles in reputed international and national journals and conferences. Of these, 19 papers are indexed in prestigious SCI journals, including IET Computer Vision, IETE Journal of Research, and Soft Computing. Her research contributions have significantly advanced areas such as sustainable computing, humanized computing, and medical systems.Her dedication to research is also evident in her guidance of four research scholars, fostering the next generation of innovators in her field. 🧑‍🎓✨


Accolades and Recognition 🏆🎖️

Prof. Meena’s reputation as a researcher and academician has garnered her numerous accolades. She serves as a reviewer for reputed journals, including publications by IET, Inderscience, and Springer.Her affiliations with professional bodies such as IEEE, CSI, ISTE, IAEST, IAENG, SAISE, and IACSIT highlight her commitment to staying at the forefront of technological advancements.


Impact and Influence 🌍🌟

Prof. Meena’s impact extends beyond her immediate academic circles. Her work in biometrics and computer vision contributes to global advancements in security, healthcare, and human-computer interaction. By integrating machine learning with practical applications, she addresses real-world challenges and inspires her peers and students.Her role as a professor and mentor has influenced countless students, instilling in them the skills and confidence to excel in the competitive field of computer science. 🎓💡


Legacy and Future Contributions 🔮🚀

As Prof. Meena continues her academic and research journey, her vision for the future involves exploring emerging areas such as artificial intelligence, deep learning, and sustainable computing. She aims to foster interdisciplinary research and contribute to innovations that address global challenges.Her legacy is built on a foundation of academic excellence, research innovation, and dedicated mentorship. With her unwavering commitment to education and technology, Prof. Meena is set to leave a lasting mark on the field of computer science and engineering. 💻🌐

Citations

A total of 738 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         738
  • h-index           13
  • i10-index        20

Notable Publications 

  • Title: A NLVFF-RLS approach to adaptive beamforming for wireless communication
    Authors: K. Meena, A.P. Kabilan
    Journal/Conference: 2008 International Conference on Computing, Communication and Networking
    Year: 2008.
  • Title: Retraction Note: Smart cataract detection system with bidirectional LSTM
    Authors: B.J.D. Kalyani, U. Hemavathi, K. Meena, B.S. Deepapriya, S. Syed
    Journal: Soft Computing
    Year: 2024.
  • Title: Retraction Note: Analysis of MRI brain tumor images using deep learning techniques
    Authors: B.J.D. Kalyani, K. Meena, E. Murali, L. Jayakumar, D. Saravanan
    Journal: Soft Computing
    Year: 2024.
  • Title: Retraction Note: Performance evaluation of deep learning techniques for lung cancer prediction
    Authors: B.S. Deepapriya, P. Kumar, G. Nandakumar, S. Gnanavel, R. Padmanaban, et al.
    Journal: Soft Computing
    Year: 2024.
  • Title: Retraction Note: Estimating the mortality rate using statistical variance and reduced set of clinical and non-clinical attributes for diagnosing chronic kidney disease
    Authors: K. Meena, A. Vadivel, P. Sumathy, A. Taha Zamani, S.M. Alanazi, N. Varish
    Journal: Soft Computing
    Year: 2024.

Sampathkumar.J | Machine Learning | Young Scientist Award

Dr. Sampathkumar.J | Machine Learning | Young Scientist Award

Mahendra college of engineering, India

Author Profile

Early Academic Pursuits 🎓📚

J. Sampathkumar’s academic journey began with a solid foundation in technical and general education. He completed his Secondary School Leaving Certificate (SSLC) in 1995 from Nirmala Hr. Sec. School, Kolathur, achieving a commendable score of 64%. This was followed by his Higher Secondary Leaving Certificate (HSLC) in 1997 from Municipal Boys Hr. Sec. School, Palani, where he secured 70%, demonstrating his early inclination towards academics.Driven by a passion for technology, he pursued a Diploma in Electrical and Electronics Engineering (DEIE) from Salem Polytechnic College in 2000, achieving an impressive 81%, which laid the foundation for his engineering aspirations. To further strengthen his knowledge, he earned a Bachelor of Engineering (B.E.) in Electronics and Communication Engineering (ECE) in 2005 from Paavai Engineering College, Namakkal, affiliated with Anna University, where he excelled with a score of 73%. Alongside, he also completed a Bachelor of Computer Applications (BCA) from IGNOU, achieving 61%, showcasing his versatility and commitment to a multidisciplinary education.To diversify his skillset, Sampathkumar pursued an MBA in 2011 via distance education from Madras University, scoring 62%. He further specialized by completing a Master of Engineering (M.E.) in Power Electronics and Drives (PED) in 2013 from Dr. Nagarathinam’s College of Engineering, Mallur, affiliated with Anna University, attaining 68%.


Professional Endeavors 💼🚀

Sampathkumar’s career spans a wide array of roles across various industries, reflecting his adaptability and dedication to professional excellence. He began as a Junior Executive at Right Biz Technologies India Pvt. Ltd., Chennai, in 2006, where he honed his skills in XML-based webpage designing. Transitioning into quality assurance, he worked as a QA Engineer with e-Microdot Solutions Pvt. Ltd., Bangalore (2007) and Pious Infotech Pvt. Ltd., Bangalore (2008–2009), contributing significantly to software testing and quality control.Shifting gears, he took on administrative roles at Nandhi Dall Mills, Salem (2009–2010), and Jaisri Designs, Salem (2010). These positions underscored his organizational skills and ability to manage operational complexities. His transition to academia marked a turning point in his career. From 2010 to 2012, he served as a Lecturer at the Government College of Engineering, Salem, before joining Mahendra College of Engineering, Salem, in 2012 as an Assistant Professor, a role he continues to excel in.


Contributions and Research Focus 🔍📈

As an educator and researcher, Sampathkumar has demonstrated unwavering dedication to empowering students with knowledge and fostering innovation. His teaching methodologies combine theoretical insights with practical applications, particularly in Power Electronics and Drives (PED), a field in which he holds a master’s degree. His research interests include electronic circuit design, sustainable power systems, and engineering education methodologies, aiming to contribute to the advancement of technology for societal benefit.Through active engagement in academic activities, Sampathkumar has guided numerous students in their project work and has participated in departmental initiatives to enhance the quality of education. His efforts in bridging the gap between industry practices and academic knowledge have been instrumental in preparing students for professional challenges.


Accolades and Recognition 🏆✨

Sampathkumar’s career is adorned with milestones that reflect his professional competence and dedication. While working across various organizations, he was recognized for his meticulous work ethic and problem-solving skills. His transition to academia brought additional accolades for his teaching excellence and ability to inspire students. As a respected faculty member at Mahendra College of Engineering, he is appreciated for his contributions to student development and curriculum enhancement.


Impact and Influence 🌟📖

In his capacity as an Assistant Professor, Sampathkumar has played a vital role in shaping the minds of future engineers. His multidisciplinary background enables him to provide a holistic learning experience, encouraging students to think critically and innovate. His administrative experience further allows him to contribute to the efficient functioning of academic institutions, ensuring the delivery of quality education.


Legacy and Future Contributions 🌍🔮

Looking ahead, Sampathkumar aspires to expand his impact on engineering education and research. By staying abreast of technological advancements and integrating emerging tools into his teaching, he envisions creating a more robust and dynamic learning environment. He also plans to engage in collaborative research to address pressing global challenges in the fields of energy systems and sustainable development.Sampathkumar’s dedication to continuous learning and sharing knowledge serves as an inspiration to students and colleagues alike. His enduring contributions to academia and industry are a testament to his commitment to excellence and innovation, leaving a lasting legacy for generations to come. 🌟

Notable Publications

  • Smart Oil Extraction System with Customer and Owner Modes
    • Authors: DJ Sampathkumar, S. Saran, P. Gokul, N. Gowtham
    • Conference: 6th International Conference on Recent Innovations in Science and Technology
    • Year: 2024.
  • Smart Oil Extraction System with Customer and Owner Modes
    • Authors: MSP Dr. J. Sampathkumar, Mr. S. Saran, Mr. P. Gokul, Mr. N. Gowtham
    • Journal: International Journal of Innovative Research in Technology, Volume 10, Issue 12, Pages 198-202
    • Year: 2024.
  • Online Physio Therapy System Using the IoT and Human Gaits Analysis
    • Authors: DJR Dr. J. Sampathkumar
    • Journal: International Journal of Research and Analytical Reviews (IJRAR), Volume 10, Issue 3, Pages 950-957
    • Year: 2023.
  • HELP-WSN-A Novel Adaptive Multi-Tier Hybrid Intelligent Framework for QoS Aware WSN-IoT Networks
    • Authors: J. Sampathkumar, N. Malmurugan
    • Journal: Computers, Materials & Continua, Volume 71, Issue 2, Pages 2107-2123
    • Year: 2022.
  • 3-D Based Brain Tumor Detection Using (DL) Deep Learning and Image Processing Approach
    • Authors: Mr. J. Sampathkumar, Dr. M. Suganthi, Mr. D. Balaji
    • Patent: IN Patent 202141060315
    • Year: 2021.

Nilamadhab Mishra | Artificial Intelligence | Best Researcher Award

Dr. Nilamadhab Mishra | Artificial Intelligence | Best Researcher Award

VIT Bhopal University, India

Author Profile

Early Academic Pursuits 🎓📘

Dr. Nilamadhab Mishra, often referred to as Dr. N. Mishra, embarked on his academic journey with a strong foundation in computer science and engineering, leading him to pursue his Doctor of Philosophy (Ph.D.) in Computer Science & Information Engineering. He specialized in the field of Data Science and Machine Learning, which laid the groundwork for his future research and professional pursuits. His Ph.D. was awarded by Chang Gung University (CGU) in Taiwan, a well-regarded institution ranked in the 601-800 bracket in the Times Higher Education World University Rankings (2016) and positioned at 429 in the QS World University Rankings the same year. This esteemed academic environment at CGU provided Dr. Mishra with valuable exposure and contributed significantly to his evolving expertise in AI and machine learning.

Professional Endeavors 🏫🔬

With over 22 years of experience spanning academia and research across India, Taiwan, and Africa, Dr. Mishra has significantly impacted both national and international institutions. Currently, he serves as an Associate Professor in the School of Computer Science and Engineering, specifically within the AI-ML Division, at VIT Bhopal University in India. His teaching roles have encompassed diverse computer science topics, while his dedication to research has led him to work on multiple funded projects from Taiwan’s Ministry of Science and Technology (MOST), the National Science Council (NSC), and Chang Gung University Memorial Hospital. These projects allowed him to explore complex, real-world challenges within the fields of artificial intelligence, data science, and machine learning, all of which are central to his ongoing professional focus.In addition to his academic roles, Dr. Mishra has contributed his expertise to several notable professional organizations. He is a Life Member of the Computer Society of India (CSI), a Fellow Member of the International Society for Research and Development (ISRD), and a Senior Member of both the Asia Society of Researchers (ASR) and the International Economics Development and Research Center (IEDRC), both based in Hong Kong. His international affiliations reflect his deep commitment to staying connected with the global research community, enhancing his academic and professional insights.

Contributions and Research Focus 🔍📊

Dr. Mishra’s research primarily revolves around artificial intelligence (AI), data science, and machine learning, with an emphasis on cognitive application modeling. His scholarly work includes over 50 publications in highly regarded SCI/SCIE and SCOPUS-indexed journals, book chapters, Indian and Australian patents, and IEEE conference proceedings. His impressive publication record has positioned him as a thought leader in his field. As an active researcher, he has also taken on roles as a reviewer, associate editor, and editorial board member for several SCI/SCIE-indexed journals and conferences, further broadening his impact in the academic community.Through his Ph.D. research, Dr. Mishra contributed significantly to several funded research projects aimed at advancing medical and scientific knowledge, particularly in collaboration with CGU Memorial Hospital. His work on data-driven insights and predictive models has applications in healthcare and other sectors, highlighting the transformative potential of machine learning and data science to solve complex societal issues.

Accolades and Recognition 🏆📜

Dr. Mishra’s dedication to excellence in his field has earned him numerous accolades. In 2018, he was recognized as a “Top Author” on PubFacts.com, and his name was recorded in the prestigious World Book of Researchers, published in Oxford, United Kingdom. His international recognition extends to his status as an Associate Editor for two SCOPUS-indexed journals, a position that underscores his expertise in evaluating cutting-edge research.Further distinguishing his career is his qualification in the Test of English as an International Communication (TOEIC), demonstrating his proficiency in engaging with the global academic and professional community. His inclusion in the World Book of Researchers and his recognition by PubFacts.com reflect his influential presence and active contribution to the research world.

Impact and Influence 🌎📈

Dr. Mishra’s impact is evident in his prolific body of research, his commitment to teaching, and his active role in academic service. His publications in high-impact journals have influenced the fields of AI, machine learning, and data science, inspiring other researchers and contributing to advancements in technology and science. As an Associate Professor, he mentors the next generation of computer scientists, instilling in them both technical knowledge and a passion for research. His influence extends beyond the classroom through his involvement in professional organizations, where he collaborates with researchers from around the globe to advance scientific understanding.Additionally, his membership in organizations such as ORCID, IEEE Collabratec, and the International Association of Engineers (IAENG) highlights his dedication to continuous learning and professional development. These platforms allow him to exchange ideas with other experts, stay abreast of the latest technological advancements, and integrate this knowledge into his teaching and research.

Legacy and Future Contributions 🌠📅

As Dr. Mishra continues to contribute to the fields of AI, machine learning, and data science, his work will undoubtedly leave a lasting legacy. His dedication to advancing these fields has already established him as a respected figure in academia, and his ongoing research promises to push the boundaries of what is possible in cognitive application modeling and data-driven decision-making. His legacy also includes his contributions to professional organizations and his mentorship of students, both of which ensure that his impact will resonate with future generations of researchers and engineers.Looking ahead, Dr. Mishra aims to deepen his research in machine learning and AI applications, potentially exploring their intersections with cognitive science and healthcare. His future contributions promise to enhance our understanding of these technologies and their potential to address global challenges. Through his dedication to research, teaching, and mentorship, Dr. Mishra is well-positioned to continue making meaningful contributions to the academic and scientific communities for years to come.

Citations

A total of 323 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         323
  • h-index           64
  • i10-index        10

Notable Publications 

  • Title: Hybrid optimization enabled squeeze net for phishing attack detection
    Authors: Kamble, N., Mishra, N.
    Journal: Computers and Security
    Year: 2024.
  • Title: A blockchain-based deep learning system with optimization for skin disease classification
    Authors: Rokade, S., Mishra, N.
    Journal: Biomedical Signal Processing and Control
    Year: 2024.
  • Title: Unveiling the effectiveness of ML models for predicting Forex trends: An AI-ML-driven service into trade marketing
    Authors: Sodha, M., Nayak, R.K., Mishra, N., Tripathy, R., Singh, H.
    Book Chapter: AI Innovations in Service and Tourism Marketing
    Year: 2024.
  • Title: QHopNN: investigating quantum advantage in cryptanalysis using a quantum hopfield neural network
    Authors: Hariharasitaraman, S., Mishra, N., Vishnuvardhanan, D.
    Journal: Physica Scripta
    Year: 2024.
  • Title: PD-DETECTOR: A sustainable and computationally intelligent mobile application model for Parkinson’s disease severity assessment
    Authors: Mishra, S., Jena, L., Mishra, N., Chang, H.-T.
    Journal: Heliyon
    Year: 2024.

Dipanjan Mukherjee | Engineering | Innovative Solutions Award

Dr. Dipanjan Mukherjee | Engineering | Innovative Solutions Award

National Institute of Technology Silchar, India

Author Profile

Early Academic Pursuits 📘

Dr. Mukherjee embarked on his academic journey in West Bengal, India. In 2009, he completed his secondary education with the West Bengal Board of Secondary Education (WBBSE) and earned an impressive 88.87%. Continuing his academic commitment, he graduated from the West Bengal Council of Higher Secondary Education (WBCHSE) in 2009, achieving 86.40%. Motivated by a vision to enhance infrastructure and public safety, Dr. Mukherjee pursued a B.Tech in Civil Engineering from the West Bengal University of Technology (WBUT), completing the program in 2013 with a CGPA of 9.18/10. This foundational education provided him with a strong base in civil engineering principles.Following his bachelor’s degree, Dr. Mukherjee advanced to an M.Tech program in Transportation Engineering at the National Institute of Technology (NIT) Silchar. His performance was stellar, as he graduated with a CGPA of 9.08/10 in 2015. Driven by a passion for research and innovation, he joined the Indian Institute of Technology (IIT) Kharagpur, where he pursued and completed his Ph.D. in Transportation Engineering. Between 2015 and 2021, his research focused on critical areas of road safety evaluation in developing countries, helping shape his future work.


Professional Endeavors and Industry Experience 🏢

With a mix of academic and professional roles, Dr. Mukherjee has gained extensive practical insights that complement his research. After earning his Ph.D., he joined the SaveLIFE Foundation, a leading organization in India focused on road safety, as a Team Leader in Road Safety and Audits. Here, he led key projects from April 2021 to August 2022, applying his expertise in crash data analysis and road safety measures to real-world contexts. His contributions included performing safety audits, evaluating accident hotspots, and collaborating with stakeholders to implement corrective measures. His tenure at SaveLIFE Foundation allowed him to apply theoretical knowledge in practical scenarios, advancing his expertise in transportation engineering. 🚧In October 2022, Dr. Mukherjee took on the role of Assistant Professor (Grade I) in the Department of Civil Engineering at Thapar Institute of Engineering and Technology, Patiala, Punjab. He educated the next generation of civil engineers while leading research projects focused on road safety and sustainable transportation. In December 2023, he joined the National Institute of Technology Silchar as an Assistant Professor (Grade II), focusing on his specialization in Traffic Engineering and Road Safety, thus marking a new chapter in his academic career.


Contributions and Research Focus 📊

Dr. Mukherjee’s research focuses on road safety evaluation in developing countries, with a particular interest in analyzing the factors that contribute to traffic accidents and designing solutions that can enhance safety. His work is broad yet precise, covering areas like:

  • Traffic Engineering and Road Safety: Dr. Mukherjee examines accident data to identify patterns and predict high-risk zones, guiding policies and interventions that can minimize accidents.
  • Crash Data Analysis and Accident Modeling: By analyzing large datasets on crash incidents, Dr. Mukherjee seeks to understand the underlying causes and trends in traffic accidents, enabling better traffic management.
  • Non-Motorized Transportation: Dr. Mukherjee advocates for safer pedestrian and cyclist infrastructure, crucial in promoting sustainable urban transportation.
  • Transportation Planning and Travel Behavior: His studies help shape effective transportation policies that can accommodate growth while ensuring the safety of all road users.
  • Pavement Material and Design: His work extends to researching materials and designs that enhance the durability and safety of roads in varying climates and traffic conditions.

His research on these issues has made a difference by providing policymakers and city planners with insights into implementing safer and more efficient transportation systems. 🛣️


Accolades and Recognition 🏅

Dr. Mukherjee’s work has not gone unrecognized. From his academic achievements, including high CGPAs and successful completions at top institutions, to his industry accolades, his dedication to his field has received both academic and public appreciation. His role as Team Leader for the SaveLIFE Foundation underscores his practical expertise, making him a respected name in transportation engineering in India. Additionally, his involvement in influential projects at both Thapar Institute and NIT Silchar showcases his continuous contribution to academia, enhancing students’ learning experiences and inspiring future engineers. 🌟


Impact and Influence 🌍

Dr. Mukherjee’s work has a transformative impact on the civil engineering landscape, particularly in the realm of traffic safety. His research findings have become valuable resources for city planners, government bodies, and non-profit organizations dedicated to reducing road fatalities and enhancing commuter experiences. His contributions are significant in shaping transportation policies in India, particularly in developing safe, efficient, and sustainable road networks. His teachings at institutions like Thapar Institute and NIT Silchar are also shaping future generations of engineers, instilling in them the knowledge and skills needed to address real-world challenges. 📈


Legacy and Future Contributions 🔍

Dr. Mukherjee’s journey from a young engineering student to a respected academic and industry leader has inspired many. His dedication to road safety research, teaching, and industry engagement highlights his commitment to reducing accident rates and promoting sustainable urban infrastructure. Looking ahead, Dr. Mukherjee aims to expand his research to include more advanced accident prediction models and simulations that could prevent accidents before they happen. He also intends to continue his focus on non-motorized transport, promoting environmentally friendly modes of transportation that are safe and accessible.As he continues his work, Dr. Mukherjee is poised to leave an indelible mark on civil engineering, ensuring that future transportation systems are safe, efficient, and inclusive. His research, advocacy, and academic contributions signify a lasting legacy that will benefit both his students and the broader community. 🌐

Citations

A total of 237 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         237
  • h-index           11
  • i10-index        8

Notable Publications 

  • Title: Identification of Factors Influencing Pedestrian Perceived Safety and Satisfaction Level Using Ordered Logit Models in an Indian Midsized City
    Authors: Mukherjee, D., Kumar, A.
    Journal: International Journal of Transport Development and Integration
    Year: 2024.
  • Title: What Affects Pedestrian Crossing Difficulty at Urban Intersections in a Developing Country?
    Authors: Mukherjee, D., Mitra, S.
    Journal: IATSS Research
    Year: 2022.
  • Title: Proactive Pedestrian Safety Evaluation at Urban Road Network Level, an Experience in Kolkata City, India
    Authors: Mukherjee, D., Mitra, S.
    Journal: International Journal of Injury Control and Safety Promotion
    Year: 2022.
  • Title: Pedestrian Safety Analysis of Urban Intersections in Kolkata, India Using a Combined Proactive and Reactive Approach
    Authors: Mukherjee, D., Mitra, S.
    Journal: Journal of Transportation Safety and Security
    Year: 2022.
  • Title: Investigating the Fatal Pedestrian Crash Occurrence in Urban Setup in a Developing Country Using Multiple-Risk Source Model
    Authors: Mukherjee, D., Mitra, S.
    Journal: Accident Analysis and Prevention
    Year: 2021.

Bhuvaneswari.S | Deep learning | Best Researcher Award

Dr. Bhuvaneswari.S | Deep learning | Best Researcher Award

SASTRA Deemed University- India

Author Profile

Early Academic Pursuits

Dr. S. Bhuvaneswari embarked on her academic journey with a passion for computer science and engineering, setting a solid foundation for her future endeavors. She pursued her doctoral studies at SASTRA Deemed University, Thanjavur, India, where she focused on developing innovative solutions to real-world challenges. Her thesis, titled “An Intelligent Data-driven Prediction Model for Sustainable Cropping System using Deep Learning Techniques,” reflects her dedication to leveraging technology for agricultural sustainability. This early focus on deep learning techniques and precision agriculture positioned her as a thought leader in the intersection of technology and agriculture. 🌾

Professional Endeavors

Dr. Bhuvaneswari’s professional journey is marked by diverse roles that encompass both industry and academia. She began her career as a Quality Engineering Transformation (QET) Engineer at TATA Consultancy Services (TCS) in Chennai from June 2018 to January 2020. During her tenure at TCS, she was part of the Center of Excellence team in performance testing, where she honed her skills in quality assurance and software engineering.In January 2020, she transitioned to academia as a Junior Research Fellow at the School of Computing, SASTRA Deemed University, supported by the Indian Council of Social Science Research (ICSSR) under the IMPRESS Scheme. She later served as a Teaching Assistant and then a Research Assistant, contributing significantly to various projects until February 2024, when she was appointed as an Assistant Professor Research in the Department of Computer Science and Engineering at SASTRA Deemed University. Her journey reflects a commitment to both teaching and research, combining practical experience with academic rigor. 📚

Contributions and Research Focus

Dr. Bhuvaneswari’s research interests primarily revolve around Deep Learning Techniques, Recommender Systems, and Precision Agriculture. Her work emphasizes the development of intelligent systems that can analyze complex data sets and provide actionable insights for sustainable agricultural practices. One of her notable projects, “Design and Development of Decision-making Tool for Crop Selection in Precision Agriculture,” aims to aid farmers in making informed decisions, thereby improving crop yields and resource management. Additionally, her investigation into prediction models for physical activity recommender systems highlights her versatility and ability to apply her expertise across various domains.Her proficiency in programming languages like Java and Python, combined with her experience in Computer Vision and Recommender Systems, positions her as a valuable asset in the fields of data science and machine learning. 🖥️

Accolades and Recognition

Throughout her career, Dr. Bhuvaneswari has received recognition for her contributions to academia and research. Her work has been funded by reputable organizations, showcasing her ability to secure grants and support for her innovative projects. She has participated in numerous conferences, presenting her research findings and engaging with other experts in her field. This active involvement not only enhances her professional profile but also contributes to the advancement of knowledge in her areas of expertise.

Impact and Influence

Dr. Bhuvaneswari’s influence extends beyond her immediate academic environment. By integrating advanced computational techniques into agriculture, she addresses critical issues related to food security and sustainable farming practices. Her research empowers farmers with data-driven insights, helping them optimize their operations and adapt to changing environmental conditions. Through her teaching, she inspires the next generation of computer scientists, instilling in them a passion for innovation and problem-solving. 🌍

Legacy and Future Contributions

As Dr. Bhuvaneswari continues her journey at SASTRA Deemed University, her legacy is already taking shape through her impactful research and dedication to education. She envisions expanding her work in deep learning and precision agriculture, potentially collaborating with industry partners to implement her models in real-world agricultural settings. Her commitment to developing sustainable solutions is likely to inspire future researchers and practitioners in the field.In conclusion, Dr. S. Bhuvaneswari exemplifies the integration of technology and agriculture, with a strong foundation in research and teaching. Her contributions are paving the way for a more sustainable future, making her a prominent figure in her field. For inquiries, she can be reached at her email: sbhuvi95@gmail.com. With a promising trajectory ahead, Dr. Bhuvaneswari is poised to make significant advancements that will benefit both academia and the agricultural sector. 🌟

Citations

A total of 110 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         110
  • h-index           16
  • i10-index        5

Notable Publications

  • Bhuvaneswari, S. & Subramaniyaswamy, V.
    “D2CNN: Double-staged Deep CNN for Stress Identification and Classification in Cropping System”
    Agricultural Systems, (2024), Vol. 216, 103886 [IF: 6.6]
  • Bhuvaneswari, S., Jagadeesh, M. & Subramaniyaswamy, V.
    “Multi-label Classification for Acoustic Bird Species Detection using Transfer Learning Approach”
    Ecological Informatics, (2024), Vol. 80, pp. 1-12, 102471 [IF: 5.1]
  • Bhuvaneswari, S., Saravanan, P. & Subramaniyaswamy, V.
    “Feature Fusion based Deep Neural Collaborative Filtering Model for Fertilizer Prediction”
    Expert Systems with Applications, (2023), Vol. 216, pp. 1-12 [IF: 8.665]
  • Bhuvaneswari, S., Saravanan, P. & Subramaniyaswamy, V.
    “Meta Learning-based Dynamic Ensemble Model for Crop Selection”
    Applied Artificial Intelligence, (2022), Vol. 36, pp. 1-36 [IF: 2.777]
  • Bhuvaneswari, S., Saravanan, P., Kotecha, K., Kumar, V. & Subramaniyaswamy, V.
    “IoT Driven Artificial Intelligence Technique for Fertilizer Recommendation Model”
    IEEE Consumer Electronics Magazine, (2022).