Pankaj Dadheech | Computer Science | Best Researcher Award

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Dr. Pankaj Dadheech | Computer Science | Best Researcher Award

Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur, India

Author Profile

🌱 Early Academic Pursuits

Dr. Pankaj Dadheech began his academic journey in the picturesque town of Rajsamand, Rajasthan, India. A bright student from the start, he completed his secondary education with distinction. He secured 67.45% in his Class X examinations and followed it up with an impressive 69.54% in Class XII, focusing on Physics, Chemistry, and Mathematics (PCM) — a foundation that set the stage for his future in Computer Science & Engineering 🖥️.

Driven by curiosity and a zeal to innovate in the field of technology, Dr. Dadheech pursued his Bachelor of Engineering (B.E.) in Computer Science & Engineering from the University of Rajasthan, Jaipur. He graduated with honors (72.33%), showcasing a strong academic inclination right from his undergraduate days 🎓. Furthering his academic aspirations, he completed his M.Tech. in Computer Science & Engineering from Rajasthan Technical University, Kota, through Poornima College of Engineering, Jaipur, earning a First Division with 60.83%.

Dr. Dadheech’s insatiable thirst for knowledge culminated in a Ph.D. in Computer Science & Engineering from Suresh Gyan Vihar University, Jaipur (NAAC “A” Grade), where he conducted rigorous research between 2015 and 2019, eventually being awarded the doctorate in 2019. This achievement marked a pivotal moment in his academic career and opened doors for higher-level research and supervision 📘.

💼 Professional Endeavors

With over a decade of rich academic and administrative experience, Dr. Pankaj Dadheech is currently serving as Professor and Deputy Head in the Department of Computer Science & Engineering at Swami Keshvanand Institute of Technology, Management & Gramothan (SKIT), Jaipur — an Autonomous Institute affiliated with Rajasthan Technical University, Kota, and accredited with NAAC A++ Grade 🏛️.

He holds several prestigious roles at SKIT including:

  • Coordinator of DRC (Departmental Research Committee) – CSE

  • Convener – R&D Cell

  • Ph.D. Research Supervisor in Computer Science & Engineering at SKIT, which is a recognized research center of RTU, Kota.

His leadership in the academic community is amplified by his Senior Membership in IEEE, which reflects his commitment to global standards in engineering and technology 🌍⚙️.

📚 Contributions and Research Focus

Dr. Dadheech’s primary focus areas lie within the expansive domain of Computer Science & Engineering, where his research contributes to the development of innovative computational techniques, machine learning models, and intelligent systems 🤖. His Ph.D. research, although not detailed here, likely dealt with complex real-world problems involving emerging computing technologies — a space where sustainability, data intelligence, and automation intersect.

As a Ph.D. Research Supervisor, he mentors doctoral scholars and M.Tech students, guiding them through the rigorous process of academic research. He also plays a vital role in the Departmental Research Committee, ensuring the research output of the department aligns with national and international benchmarks. His involvement in the R&D Cell demonstrates a proactive approach toward fostering innovation and multidisciplinary collaboration 🔬✨.

🏆 Accolades and Recognition

Dr. Dadheech’s achievements span both academic excellence and administrative brilliance. His journey from a small town in Rajasthan to a senior leadership role at one of Jaipur’s premier engineering institutes is commendable. The conferral of Ph.D. in 2019, his elevation to Professor & Deputy Head, and recognition by IEEE as a Senior Member are testaments to his scholarly impact and professional integrity 🎖️.

His trusted role as a Ph.D. Supervisor by Rajasthan Technical University is not just a recognition of his academic stature but also of his contributions to capacity building and higher education in India 🧑‍🏫📈.

🌐 Impact and Influence

Dr. Pankaj Dadheech’s work influences a broad academic and technological community. As a teacher, mentor, and research guide, he shapes the careers of future engineers and scholars. His administrative acumen has strengthened the research infrastructure at SKIT, resulting in a robust ecosystem for academic innovation and knowledge dissemination.

Moreover, his multiple official email addresses — including pankaj@skit.ac.in, dyhodcs@skit.ac.in, and drpankajdadheech@ieee.org — indicate his involvement at various strategic levels, from faculty coordination to external academic collaborations. His research supervision fosters academic excellence and builds the groundwork for impactful research in AI, cybersecurity, and cloud computing domains ☁️🔐🧠.

🔮 Legacy and Future Contributions

With a solid foundation in both academia and research administration, Dr. Dadheech is poised to contribute even more significantly in the coming years. His vision for the future includes fostering interdisciplinary research, enhancing industry-academia linkages, and promoting sustainable technology-driven solutions 🌿💻.

His legacy will likely be defined by the hundreds of students and researchers he mentors, the research culture he cultivates, and the innovative policies he helps implement in academic institutions. As someone who bridges technical knowledge with leadership, his career path serves as an inspiration to aspiring academicians and young innovators across India.

Citations

A total of 2444 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations        2444
  • h-index               27
  • i10-index            64

Notable Publications 

  • Title: Flow-based anomaly intrusion detection using machine learning model with software defined networking for OpenFlow network
    Authors: N. Satheesh, M.V. Rathnamma, G. Rajeshkumar, P.V. Sagar, P. Dadheech, et al.
    Journal: Microprocessors and Microsystems
    Year: 2020

  • Title: Predicting agriculture yields based on machine learning using regression and deep learning
    Authors: P. Sharma, P. Dadheech, N. Aneja, S. Aneja
    Journal: IEEE Access
    Year: 2023

  • Title: Analysis of Network Slicing for Management of 5G Networks Using Machine Learning Techniques
    Authors: R.A. Randeep Singh, Abolfazl Mehbodniya, Julian L. Webber, Pankaj Dadheech, G. et al.
    Journal: Wireless Communications and Mobile Computing
    Year: 2022

  • Title: Software-defined networking-based Ad hoc networks routing protocols
    Authors: G. Kirubasri, S. Sankar, D. Pandey, B.K. Pandey, V.K. Nassa, P. Dadheech
    Journal: Software Defined Networking for Ad Hoc Networks
    Year: 2022

  • Title: Hybrid convolutional neural network (CNN) for Kennedy Space Center hyperspectral image
    Authors: R. Anand, B. Khan, V.K. Nassa, D. Pandey, D. Dhabliya, B.K. Pandey, et al.
    Journal: Aerospace Systems
    Year: 2023

Shahid Mohammad Ganie | Computer Science | Best Researcher Award

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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.

Suvrima Datta | Computer Science | Best Researcher Award

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Suvrima Datta | Best Researcher Award Winner 2023🏆

Ms. Suvrima Datta : Computer Science

Congratulations, Ms. Suvrima Datta, on winning the esteemed Best Researcher Award from Research! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here's to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

She is actively engaged in advancing her academic and professional journey in the realm of Computer Science & Engineering. She continues her pursuit of a Ph.D. at IIIT, Naya Raipur, displaying an unwavering commitment to cutting-edge research and innovation in the field. Her expertise lies in IoT network security, where she has made substantial contributions through her publications in esteemed journals and conferences like IEEE Networking Letters, IEEE Globecom, and IEEE ANTS. Her focus on developing pioneering frameworks, such as Dnsguard and PiGateway, highlights her dedication to fortifying Smart Home IoT networks against diverse cyber threats. Beyond her research, She remains involved in scholarly activities, serving as a reviewer for IEEE TNSM and actively participating in IEEE workshops and conferences, showcasing her commitment to knowledge exchange and technological advancement within the academic community.

Professional Profiles:

Early Academic Pursuits :

She embarked on her academic journey in Computer Science and Engineering, earning her Bachelor's degree from Maulana Abul Kalam Azad University of Technology, Kolkata, in 2017. During this time, she spearheaded a major project focused on Online Hospital Management, showcasing her proficiency in developing tech solutions for critical domains. She pursued her Master's degree at the University of Calcutta, completing it in 2020 with a notable CGPA of 8.2. Her thesis work highlighted an algorithm for Spanning Tree generation, reflecting her prowess in algorithmic development.

Professional Endeavors :

Currently pursuing a Ph.D. in Computer Science & Engineering at IIIT, Naya Raipur, She has delved into groundbreaking research and made significant contributions to the field. Her publications in prestigious IEEE and Springer journals underscore her expertise in IoT network security, distributed MUD frameworks, and programmable data planes. Her research focuses on innovative solutions, such as DNS Flooding attack mitigation, Traffic Prioritization frameworks, and scaling IoT MUD enforcement, portraying her commitment to enhancing network security and efficiency.

Contributions and Research Focus in Computer Science:

Her research gravitates towards fortifying Smart Home IoT networks against diverse cyber threats. She has developed advanced frameworks like Dnsguard, PiGateway, and Fipibox, leveraging cutting-edge technologies like P4-based SDN and intelligent anomaly detection models. Her scholarly contributions, encompassing traffic analysis, security frameworks, and network scalability, denote her dedication to addressing contemporary challenges in IoT ecosystems.

Accolades and Recognition :

Her academic journey, including her successful qualification in the GATE (Computer Science and Information Technology) in 2018. Her participation in the Indian Engineering Olympiad showcased her early talent and interest in engineering. Furthermore, her publications in esteemed conferences and journals, along with her involvement in IEEE committees and workshops, speak volumes about her recognition and impact within the academic community.

Impact and Influence :

Her impact extends beyond her academic pursuits; she serves as a reviewer for IEEE TNSM, actively contributes to IEEE conferences, and holds pivotal roles in IEEE chapters. Her coordination in organizing conferences like IEEE WIE and her membership in IEEE Future Network underline her commitment to fostering technological innovation and knowledge dissemination.

Legacy and Future Contributions :

Her legacy in the field of Computer Science & Engineering is shaped by her dedication to pioneering research, impactful publications, and active engagement in IEEE forums. Her future contributions are poised to further fortify IoT network security, advance P4-based SDN models, and explore novel paradigms to address evolving cyber threats, thus leaving an indelible mark on the realm of network engineering and security.

Notable Publications :