Santos Kumar Das | Engineering | Best Researcher Award

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Dr. Santos Kumar Das | Engineering | Best Researcher Award

Associate Professor at National Institute of Technology Rourkela, India

Dr. Santos Kumar Das, an Associate Professor at the Department of Electronics and Communication Engineering, National Institute of Technology (NIT) Rourkela, is an accomplished researcher with expertise in AI, IoT, Sensor Networking, and Optical Networking, including LiFi, FSO, and SDN. With a Ph.D. in Communication Networks from NIT Rourkela and an M.S. in Electrical Communication Engineering from IISc Bangalore, Dr. Das has an extensive academic and professional background. He has supervised 12 Ph.D., 53 M.Tech., and 54 B.Tech. theses and managed numerous government-funded research projects totaling over ₹671 lakh. A recipient of multiple awards, including the Best Research Paper Award at IoTCloud’21 and INDICON 2023, he has over 50 journal publications. Dr. Das is actively involved in academia as a reviewer, technical committee member, and conference session chair. His innovative contributions in 6G communication and IoT for societal applications make him a strong contender for the Best Researcher Award.

Professional Profile

Education

Dr. Santos Kumar Das has an impressive educational background, marked by a strong foundation in electronics and communication engineering. He completed his Ph.D. in Communication Networks from the National Institute of Technology (NIT), Rourkela, in 2014. Prior to that, he earned a Master of Science (M.S.) in Electrical Communication Engineering from the prestigious Indian Institute of Science (IISc), Bangalore, in 2002, graduating with first-class honors. Dr. Das also holds a Bachelor of Engineering (B.E.) degree in Electronics and Communication from VSSUT (formerly UCE), Burla, Odisha, completed in 1998, where he again achieved first-class honors. His academic journey began with a strong foundation in science during his higher secondary education at D.D. College, Keonjhar, Odisha, where he secured first-class marks. With this comprehensive educational background, Dr. Das has built a distinguished career in research and teaching, focusing on cutting-edge technologies in communications and networking.

Professional Experience

Dr. Santos Kumar Das has a diverse and extensive professional experience spanning academia, industry, and research. Currently serving as an Associate Professor at the Department of Electronics and Communication Engineering at NIT Rourkela since 2009, he has significantly contributed to the institution’s academic and research initiatives. Prior to his academic career, Dr. Das gained substantial industry experience as a Senior Software Engineer at Palvision and ITXpress in Singapore, where he worked on cutting-edge network systems and software development. He also held roles as a Software Engineer at Actatek and Network Engineer at Netmarks, contributing to advanced technological solutions in various sectors. In addition, Dr. Das worked as a Research Associate at CEMNet Lab, NTU Singapore, and as a Research Engineer at A-Star Singapore, where he was involved in high-impact research in communication networks and sensor technologies. His broad range of roles has enriched his expertise and research focus, particularly in IoT, AI, and Optical Networking.

Research Interest

Dr. Santos Kumar Das has a broad and innovative research focus, primarily centered around emerging technologies in communications and networking. His key research interests include Artificial Intelligence (AI), the Internet of Things (IoT), Sensor Networking, and Optical Networking, particularly focusing on cutting-edge technologies like LiFi, Free-Space Optics (FSO), and Software-Defined Networking (SDN). Dr. Das explores the integration of AI in IoT applications, aiming to enhance the intelligence and efficiency of network systems. His work in optical networking focuses on leveraging advanced communication techniques for high-speed data transmission and next-generation wireless systems, with a special emphasis on 6G communication technologies. He also investigates IoT-based smart city applications, environmental monitoring systems, and industrial IoT for better security, safety, and resource management. By combining AI with sensor networks and optical technologies, Dr. Das contributes to the development of sustainable, intelligent, and high-performance communication systems for both industrial and societal applications.

Award and Honor

Dr. Santos Kumar Das has received numerous prestigious awards and honors throughout his career, reflecting his excellence in research, teaching, and professional contributions. He was recognized as a Senior Member of IEEE in 2019, showcasing his standing in the global engineering community. Dr. Das has received multiple Best Paper Awards, including at the International Conference on Next Generation Computing Technologies (NGCT) in 2017, Electronic Systems and Intelligent Computing (ESIC) in 2020, and IoTCloud’21, III T Kottayam in 2021. He was also honored with the Best Faculty Advisor Award at NIT Rourkela in 2022 and 2023 for his outstanding guidance to students. Dr. Das’s leadership and contributions to academic committees have earned him recognition as an editorial board member and reviewer for multiple journals. Additionally, his involvement in technical committees and chairing sessions at international conferences, such as TENCON 2023 and SGCNSP 2023, further exemplify his significant impact in the field of engineering and technology.

Conclusion

Dr. Santos Kumar Das stands out as a highly accomplished researcher with a stellar record in academia, research, and mentorship. His contributions to IoT, AI, and advanced networking, coupled with his leadership in projects and professional service, make him an outstanding candidate for the Best Researcher Award. Addressing minor areas for improvement, such as broadening his research scope and enhancing global collaboration, could further solidify his position as a leader in the field. Overall, he is highly deserving of this recognition.

Publications Top Noted

  • A comprehensive review on deep learning-based methods for video anomaly detection
    Authors: R Nayak, UC Pati, SK Das
    Journal: Image and Vision Computing
    Year: 2021
    Citations: 268
  • Time series based air pollution forecasting using SARIMA and prophet model
    Authors: KKR Samal, KS Babu, SK Das, A Acharaya
    Conference: Proceedings of the 2019 International Conference on Information Technology
    Year: 2019
    Citations: 158
  • Multi-directional temporal convolutional artificial neural network for PM2.5 forecasting with missing values: A deep learning approach
    Authors: KKR Samal, KS Babu, SK Das
    Journal: Urban Climate
    Year: 2021
    Citations: 74
  • An improved pollution forecasting model with meteorological impact using multiple imputation and fine-tuning approach
    Authors: KKR Samal, AK Panda, KS Babu, SK Das
    Journal: Sustainable Cities and Society
    Year: 2021
    Citations: 47
  • Temporal convolutional denoising autoencoder network for air pollution prediction with missing values
    Authors: KKR Samal, KS Babu, SK Das
    Journal: Urban Climate
    Year: 2021
    Citations: 44
  • Swin transformer based vehicle detection in undisciplined traffic environment
    Authors: P Deshmukh, GSR Satyanarayana, S Majhi, UK Sahoo, SK Das
    Journal: Expert Systems with Applications
    Year: 2023
    Citations: 42
  • Critical review on slope monitoring systems with a vision of unifying WSN and IoT
    Authors: DK Yadav, S Jayanthu, SK Das, S Chinara, P Mishra
    Journal: IET Wireless Sensor Systems
    Year: 2019
    Citations: 36
  • Multi-output TCN autoencoder for long-term pollution forecasting for multiple sites
    Authors: KKR Samal, AK Panda, KS Babu, SK Das
    Journal: Urban Climate
    Year: 2021
    Citations: 35
  • Video-based real-time intrusion detection system using deep-learning for smart city applications
    Authors: R Nayak, MM Behera, UC Pati, SK Das
    Conference: 2019 IEEE International Conference on Advanced Networks and
    Year: 2019
    Citations: 32
  • A vehicle detection technique using binary images for heterogeneous and lane-less traffic
    Authors: GSR Satyanarayana, S Majhi, SK Das
    Journal: IEEE Transactions on Instrumentation and Measurement
    Year: 2021
    Citations: 31
  • Design of real-time slope monitoring system using time-domain reflectometry with wireless sensor network
    Authors: DK Yadav, G Karthik, S Jayanthu, SK Das
    Journal: IEEE Sensors Letters
    Year: 2019
    Citations: 31
  • Observation of multiphonon transverse wobbling in 133Ba
    Authors: KR Devi, S Kumar, N Kumar, FS Babra, MSR Laskar, S Biswas, S Saha, …
    Journal: Physics Letters B
    Year: 2021
    Citations: 30

Manila Mallik | Engineering | Best Researcher Award

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Dr. Manila Mallik | Engineering | Best Researcher Award

Assistant Professor at VEER SURENDRA SAI UNIVERSITY OF TECHNOLOGY, BURLA, India

Dr. Manila Mallik is an accomplished academic and researcher in the field of Metallurgical and Materials Engineering. She earned her Ph.D. from the Indian Institute of Technology, Kharagpur, in 2016, with a focus on lead-free solder materials and their characterization. With a solid background in various areas including thin films, nanomaterials, electrochemistry, and industrial waste utilization, Dr. Mallik has actively contributed to both research and teaching. She has published several research papers in renowned journals, presented at numerous national and international conferences, and is an expert in materials characterization techniques like X-ray diffraction, SEM, and atomic force microscopy. Currently, she serves as an Assistant Professor at Veer Surendra Sai University of Technology, Burla, and has guided several Ph.D. and M.Tech students. Dr. Mallik is also known for her involvement in organizing seminars, workshops, and academic events, and has received multiple awards for her contributions to the field.

Professional Profile 

Education

Dr. Manila Mallik’s educational journey reflects her dedication to the field of Metallurgical and Materials Engineering. She completed her Bachelor of Technology (B.Tech) in Metallurgical Engineering from the National Institute of Technology, Rourkela, in 2009, where she developed a strong foundation in materials science. Dr. Mallik then pursued her Master’s degree (M.Tech) in Metallurgical Engineering from the Indian Institute of Technology (IIT) Kharagpur, graduating in 2011. Her exceptional academic performance led her to continue her research at IIT Kharagpur, where she completed her Ph.D. in 2016. Her doctoral research focused on lead-free solder materials, where she extensively studied their mechanical properties and characterization techniques. Throughout her academic career, Dr. Mallik has been committed to advancing her knowledge and expertise in materials science, contributing significantly to both her research field and the education of future engineers and researchers.

Professional Experience

Dr. Manila Mallik has extensive professional experience in the field of Metallurgical and Materials Engineering, with a focus on both academia and industry. She began her career as a Lecturer in the Department of Metallurgical Engineering at the National Institute of Technology (NIT), Rourkela, where she contributed to teaching and research from 2011 to 2014. Following her doctoral studies, Dr. Mallik worked as an Assistant Professor at the same institution, where she continued to teach and mentor undergraduate and postgraduate students while advancing her research on materials science. Her expertise in lead-free solder materials led her to collaborate on several research projects, including industry-sponsored work. Dr. Mallik has also held various academic roles such as research coordinator and has published numerous papers in international journals and conferences. Her career is distinguished by her commitment to bridging the gap between academic research and practical applications in materials engineering.

Research Interest

Dr. Manila Mallik’s research interests lie at the intersection of materials science, metallurgy, and engineering, with a particular focus on the development and evaluation of lead-free solder materials. Her work investigates the mechanical, thermal, and microstructural properties of these materials, exploring alternatives to traditional lead-based solders for use in electronics and other industrial applications. Dr. Mallik is also interested in the design and optimization of advanced materials for electronic and energy-efficient devices, emphasizing their durability and performance under various operating conditions. Her research extends to areas such as corrosion behavior, fatigue analysis, and material degradation, particularly in the context of environmentally sustainable materials. Additionally, Dr. Mallik explores the impact of processing techniques on the properties of materials, utilizing computational modeling and experimental approaches to enhance material performance. Her research aims to contribute to the development of safer, more reliable materials for a wide range of technological and industrial applications.

Award and Honor

Dr. Manila Mallik has received numerous awards and honors in recognition of her significant contributions to the fields of materials science and metallurgy. Her research on lead-free solder materials and sustainable engineering practices has earned her accolades at both national and international levels. Dr. Mallik was awarded the prestigious Young Scientist Award for her innovative work on materials development in electronic devices. Additionally, she has been recognized with the Excellence in Research Award for her pioneering research in the field of corrosion behavior and materials degradation. Her work has been widely published in high-impact journals, and she has received the Best Paper Award for several of her research articles. Dr. Mallik’s outstanding academic achievements have also earned her scholarships and grants from prominent research organizations. These awards reflect her dedication to advancing sustainable engineering solutions and her ongoing commitment to driving innovations that benefit society and industry alike.

Conclusion

Dr. Manila Mallik exhibits a solid academic background, diverse research interests, and strong hands-on technical expertise, making her a strong candidate for the Best Researcher Award. Her contributions to materials science, particularly in lead-free solder materials and nanocomposites, demonstrate her commitment to addressing global challenges through scientific innovation. With continued growth in industry partnerships, interdisciplinary research, and public outreach, Dr. Mallik has the potential to further elevate her already impressive career, contributing even more significantly to both academia and industry.

Publications Top Noted

  • Title: Substrate effect on electrodeposited copper morphology and crystal shapes
    Authors: S Banthia, S Sengupta, M Mallik, S Das, K Das
    Year: 2018
    Citation: 39
  • Title: Effect of current density on the nucleation and growth of crystal facets during pulse electrodeposition of Sn–Cu lead-free solder
    Authors: M Mallik, A Mitra, S Sengupta, K Das, RN Ghosh, S Das
    Year: 2014
    Citation: 35
  • Title: Investigation on lithium conversion behavior and degradation mechanisms in Tin based ternary component alloy anodes for lithium ion batteries
    Authors: S Sengupta, A Mitra, PP Dahiya, A Kumar, M Mallik, K Das, SB Majumder, …
    Year: 2017
    Citation: 19
  • Title: Effect of anodic passivation at high applied potential difference on the crystal shape and morphology of copper electrodeposits: thermodynamics and kinetics of …
    Authors: A Mitra, M Mallik, S Sengupta, S Banthia, K Das, S Das
    Year: 2017
    Citation: 15
  • Title: Corrosion inhibition behavior of dual phase steel in 3.5 wt% NaCl solution by Carica papaya peel extracts
    Authors: S Sahoo, S Nayak, D Sahoo, M Mallik
    Year: 2019
    Citation: 8
  • Title: Potential utilization of LD slag and waste glass in composite production
    Authors: M Mallik, S Hembram, D Swain, G Behera
    Year: 2020
    Citation: 7
  • Title: Pseudo lamellae of Cu6Sn5 on the crystal facet of Sn in electrodeposited eutectic Sn-Cu lead-free solder
    Authors: M Mallik, K Das, RN Ghosh, S Das
    Year: 2024
    Citation: 3
  • Title: Effect of temperature and pressure on diffusivity of nitinol pellet bonded with steel plate
    Authors: I Tripathy, SP Rout, M Mallik
    Year: 2020
    Citation: 3
  • Title: Production of copper powder by electrodeposition with different equilibrium crystal shape
    Authors: B Nanda, M Mallik
    Year: 2020
    Citation: 2
  • Title: Fatigue Crack Initiation and Growth Behavior of 7475 Aluminium Alloy in Air and Aggressive Environment
    Authors: RPK Verma B.B., Mallik Manila, Atkinson John D
    Year: 2012
    Citation: 2
  • Title: Effect of microstructure on the indentation creep behaviour of 2.25 Cr-1Mo and its comparison with modified 9Cr-1Mo ferritic steel
    Authors: M Mallik
    Year: 2011
    Citation: 2
  • Title: Effect of Cetyl Trimethyl ammonium bromide (CTAB) amount on the Nanoindentation creep behaviour of Sn-cu-Y2O3 nanocomposite Lead-free solder
    Authors: M Mallik, K Das, RN Ghosh, S Das
    Year: 2024
    Citation: 1
  • Title: 3D Printing of Smart Materials: A Path toward Evolution of 4D Printing
    Authors: M Mallik
    Year: 2022
    Citation: 1
  • Title: Electrochemical behavior of 250-grade maraging steel by using Cascabela Thevetia as an organic inhibitor
    Authors: S Sahoo, AA Sahu, A Pradhan, SR Barik, A Mohanty, M Mallik
    Year: 2024
    Citation: 1
  • Title: Synthesis of hydroxyapatite nanocomposite coating by electrodeposition route: a state of the art review
    Authors: BK Karali, S Das, G Behera, M Mallik
    Year: 2024
    Citation: 1
  • Title: Flexible PMN-PT/rGO/PVDF-TrFE based composites for triboelectric and piezoelectric energy harvesting
    Authors: S Das, M Mallik, K Parida, N Bej, J Baral
    Year: 2024
    Citation: 1
  • Title: Microstructural characteristics of flexible ceramics
    Authors: S Das, K Parida, N Bej, M Mallik
    Year: 2023
    Citation: 1

TABASUM GULEDGUDD | Engineering | Best Researcher Award

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TABASUM GULEDGUDD | Engineering | Best Researcher Award

Ms TABASUM GULEDGUDD, SECAB INSTITUTE OF ENGINEERING AND TECHNOLOGY, India

Tabasum Guledgudd is an Assistant Professor and Head of the Department of Electronics and Communication Engineering at SECAB Institute of Engineering and Technology, Vijayapur, with over 12 years of experience in teaching and academic administration. She has contributed to NBA accreditation, organizing workshops, faculty recruitment, and guiding students on government-funded projects. Her research interests include IoT-based health monitoring systems, VLSI, and Embedded Systems. She has published articles in prominent journals, such as the African Journal of Biomedical Research and the African Journal of Science, Technology, Innovation, and Development. She is also actively involved in workshops and FDPs. 📚💡🖥️🎓

Publication Profile

Orcid

Academic Profile 

Tabasum holds a Bachelor’s degree in Electronics and Communication Engineering (2007) from Visvesvaraya Technology University, Belagavi, and an M.Tech. in VLSI & Embedded Systems (2013) from Jawaharlal Nehru Technological University, Hyderabad. Currently, she is pursuing her Ph.D. (Part-time) in Artificial Intelligence and Machine Learning (AIML) for decision-making in IoT-based health monitoring systems. She successfully completed her comprehensive viva in 2018. With a strong academic background and a focus on advanced technologies, Tabasum is dedicated to exploring innovative solutions in the intersection of AI, IoT, and healthcare. 💻🤖📡📊🎓

Employment Record

Ms. Tabasum Guledgudd is currently serving as the Assistant Professor and Head of the Department of Electronics and Communication Engineering at SECAB Institute of Engineering and Technology, Vijayapur, since July 27, 2013. With extensive experience in academia, she has previously worked as an Assistant Professor at Sri Indu College of Engineering & Technology, Hyderabad, both from January to May 2012 and from January to December 2010. Her dedication to teaching and leadership in the field of Electronics and Communication Engineering continues to inspire students and contribute to the institution’s growth. 📚👩‍🏫📡

Research Experience

Ms. Tabasum Gulegdudd has made significant contributions to academic research, with notable publications in reputable journals. In 2024, she published a comparative study on machine learning algorithms for leukemia diagnosis in the African Journal of Biomedical Research, showcasing her expertise in medical technology. Additionally, she authored a comprehensive review of integrated technologies in the Internet of Health Things (IoHT) applications, featured in the African Journal of Science, Technology, Innovation, and Development. These works highlight her dedication to advancing research and her commitment to improving healthcare through innovative technological applications. 📚💻🩺📈

Previous Employment 

Tabasum Guledgudd is an experienced academic professional who previously served as an Assistant Professor at Sri Indu College of Engineering & Technology, Hyderabad, from January 2009 to May 2012. Before joining SECAB Institute of Engineering and Technology, she honed her teaching skills and gained valuable experience in academic administration. During her tenure, she developed a strong foundation in education, contributing to the academic growth of her students. Her passion for teaching and leadership has made her a valuable asset in the field of engineering education. 📚👩‍🏫🏫🌟

Current Employment 

Ms. Tabasum Guledgudd is an Assistant Professor and Head of the Department at SECAB Institute of Engineering and Technology in Vijayapur, where she has served since July 27, 2013. Under her leadership, the department successfully received NBA accreditation in August 2019. She oversees key administrative and academic responsibilities, including faculty recruitment and lab establishment. Additionally, she plays an essential role in organizing technical and research-oriented workshops for students and faculty. Her dedication to improving both academic and administrative functions has significantly contributed to the department’s growth and development. 🎓📚🏫🔧👩‍🏫

Research Focus

Tabasum Guledgudd’s research focuses on enhancing machine learning techniques for medical applications, particularly in leukemia diagnosis. Her work involves comparing various algorithms, including K-Means, Gaussian Mixture Models (GMM), Support Vector Machines (SVM), and Random Forest, to improve diagnostic accuracy in biomedical contexts. She has also contributed to the review of integrated technologies in the Internet of Health Things (IoHT), exploring how cutting-edge innovations can be applied to health monitoring and diagnostics. Her research is significant for advancing AI-driven solutions in healthcare. 💻🩺📊💡

Publication Top Notes

A Comparative Study of K-Means, GMM, SVM, and Random Forest for Enhancing Machine Learning in Leukemia Diagnosis

A comprehensive review: State of art integrated technologies in IoHT applications