Bardia Hejazi | Materials Science | Best Researcher Award

Dr. Bardia Hejazi | Materials Science | Best Researcher Award

Postdoc at Federal Institute for Materials Research and Testing, Germany

Bardia Hejazi is a dedicated physicist currently serving as a scientist at the Bundesanstalt für Materialforschung und -prüfung (BAM) in Berlin, Germany. With a rich background in fluid dynamics, particle interactions, and X-ray imaging, he specializes in failure analysis of 3D printed materials, particularly titanium components. His research journey has taken him from his undergraduate studies in Iran to prestigious institutions, including a postdoctoral role at the Max Planck Institute for Dynamics and Self-Organization. Here, he focused on the intersection of fluid dynamics and biology, particularly the flight dynamics of honeybees in varying environmental conditions. Hejazi’s multidisciplinary approach not only contributes to advancements in materials science but also provides insights into complex biological systems. His contributions to both academia and outreach highlight his commitment to scientific communication and mentorship, fostering a diverse scientific community. His active participation in research, teaching, and organizational roles showcases his ability to bridge theoretical knowledge with practical applications, positioning him as a promising candidate for recognition as a leading researcher in his field.

Professional Profile

Education

Bardia Hejazi completed his Ph.D. in Physics at Wesleyan University in January 2021, where he conducted research on particle-turbulence interactions under the guidance of Professor Greg A. Voth. His doctoral thesis significantly advanced the understanding of how particles behave in turbulent flows, contributing to the broader field of fluid dynamics. Prior to his Ph.D., Hejazi earned a Bachelor of Science in Physics from the Sharif University of Technology in Tehran, Iran, in June 2015. This strong educational foundation equipped him with essential theoretical knowledge and practical skills in experimental and computational physics. His education also includes a visiting research experience at Harvard University’s Center for Nanoscale Systems, where he developed particle manufacturing techniques using advanced 3D printing technologies. Throughout his academic journey, Hejazi has demonstrated a commitment to interdisciplinary research, leveraging his expertise in physics to explore applications in material science, biology, and environmental studies. His solid educational background is complemented by numerous research experiences, allowing him to contribute meaningfully to diverse scientific inquiries.

Professional Experience

Bardia Hejazi has cultivated a diverse professional experience, beginning as an undergraduate researcher at Sharif University of Technology and continuing through various prestigious research positions. Currently, he serves as a scientist at BAM in Berlin, where he focuses on the failure analysis of 3D printed titanium components, utilizing advanced X-ray computed tomography imaging techniques. Before this role, Hejazi completed a postdoctoral fellowship at the Max Planck Institute for Dynamics and Self-Organization, engaging in innovative studies on honeybee flight dynamics and the effects of atmospheric turbulence. His prior experiences include conducting field measurements of cloud dynamics and investigating the effectiveness of face masks in mitigating disease transmission. Additionally, Hejazi’s research at Wesleyan University involved tracking flexible particles in fluid flows and studying their dynamics, further enhancing his expertise in fluid dynamics and experimental physics. He has also contributed to undergraduate education as an instructor and teaching assistant, where he applied his knowledge to nurture the next generation of physicists. This combination of research and teaching roles underscores his commitment to advancing scientific knowledge and education.

Research Interests

Bardia Hejazi’s research interests span a range of interdisciplinary topics within physics, particularly focusing on fluid dynamics, material science, and biological systems. His current research involves utilizing X-ray imaging techniques for failure analysis of 3D printed titanium components, exploring the intricate relationships between material properties and structural integrity. Hejazi’s postdoctoral research at the Max Planck Institute allowed him to investigate honeybee flight dynamics in windy environments, revealing critical insights into how turbulence affects biological behavior. He is also interested in aerosol dynamics and their implications for public health, particularly in understanding how airborne particles contribute to disease transmission in indoor environments. Throughout his academic career, Hejazi has engaged in computational studies, developing algorithms to track particle deformations in fluid flows, and exploring the interactions of flexible particles with turbulence. His diverse research interests not only reflect his expertise in physics but also emphasize his commitment to addressing complex scientific challenges that span multiple disciplines. By bridging the gap between theoretical concepts and practical applications, Hejazi aims to contribute to advancements in both fundamental science and real-world issues.

Research Skills

Bardia Hejazi possesses a robust skill set that encompasses a wide array of research methodologies and technical proficiencies. His expertise in fluid dynamics and particle physics is complemented by practical skills in X-ray computed tomography and image analysis, enabling him to perform detailed investigations into material properties and behaviors. Hejazi has developed advanced coding skills for image analysis, quantifying crack features in 3D printed components, and facilitating in-situ experiments. His research experience is supported by a solid foundation in computational physics, allowing him to simulate complex systems and analyze dynamic behaviors of particles in various environments. Additionally, Hejazi has hands-on experience with particle manufacturing techniques, particularly using nano-scale 3D printing, enhancing his ability to innovate within experimental setups. His strong analytical capabilities are evidenced by his numerous publications in high-impact journals, showcasing his ability to communicate complex findings effectively. Furthermore, Hejazi has demonstrated leadership and mentorship skills through his roles in teaching and outreach, reflecting his commitment to fostering collaboration and diversity within the scientific community. His interdisciplinary skills position him as a valuable contributor to research initiatives across various domains.

Awards and Honors

Bardia Hejazi has been recognized for his academic and research excellence through several prestigious awards and honors throughout his career. Notably, he received the 1st Prize at the national scientific competition of the Iranian Society of Acoustics and Vibrations in December 2013, showcasing his early commitment to scientific inquiry and innovation. Hejazi was also selected to represent Iran as a member of the national team in the 22nd International Young Physicists Tournament held in Tianjin, China, in July 2009, reflecting his strong foundation in physics during his formative years. His educational achievements, including a Ph.D. from Wesleyan University, further underscore his dedication to advancing knowledge in the field of physics. Additionally, Hejazi has successfully secured funding from the Max Planck Society for high-speed camera purchases to support his research on fluid dynamics, indicating recognition of the significance of his work. These accolades not only highlight Hejazi’s individual achievements but also demonstrate his ongoing commitment to contributing to the scientific community and fostering the advancement of research in physics and its applications.

Conclusion

Bardia Hejazi demonstrates an impressive profile for the Best Researcher Award, characterized by a combination of innovative research, technical expertise, and leadership in the scientific community. His contributions have significant implications for both academic and practical applications, particularly in materials science and public health. By addressing the identified areas for improvement, he can further enhance his impact and visibility within the research community. Overall, Bardia is a strong candidate for the award, reflecting both current achievements and future potential.

Publications Top Notes

  • An upper bound on one-to-one exposure to infectious human respiratory particles
    • Authors: G. Bagheri, B. Thiede, B. Hejazi, O. Schlenczek, E. Bodenschatz
    • Year: 2021
    • Citations: 151
  • Lessons for preparedness and reasons for concern from the early COVID-19 epidemic in Iran
    • Authors: M. Ghafari, B. Hejazi, A. Karshenas, S. Dascalu, A. Kadvidar, M.A. Khosravi, …
    • Year: 2021
    • Citations: 35
  • Using deformable particles for single-particle measurements of velocity gradient tensors
    • Authors: B. Hejazi, M. Krellenstein, G.A. Voth
    • Year: 2019
    • Citations: 17
  • Emergent scar lines in chaotic advection of passive directors
    • Authors: B. Hejazi, B. Mehlig, G.A. Voth
    • Year: 2017
    • Citations: 9
  • On the risk of infection by infectious aerosols in large indoor spaces
    • Authors: B. Hejazi, O. Schlenczek, B. Thiede, G. Bagheri, E. Bodenschatz
    • Year: 2022
    • Citations: 4
  • Honeybees modify flight trajectories in turbulent wind
    • Authors: B. Hejazi, C. Küchler, G. Bagheri, E. Bodenschatz
    • Year: 2022
    • Citations: 3
  • Particle-turbulence interactions
    • Author: B. Hejazi
    • Year: 2021
    • Citations: 3
  • Crack characterization of fatigued additively manufactured Ti-6Al-4V using X-ray computed tomography and deep learning methods
    • Authors: B. Hejazi, A. Compart, T. Fritsch, R. Wagner, A. Weidner, H. Biermann, …
    • Year: 2024
  • Honeybee flight dynamics and pair separation in windy conditions near the hive entrance
    • Authors: B. Hejazi, H. Antigny, S. Huellstrunk, E. Bodenschatz
    • Year: 2023
  • Honeybee flight in windy conditions
    • Authors: B. Hejazi, C. Küchler, G. Bagheri, E. Bodenschatz
    • Year: 2022

 

JAWAHAR NATARAJAN | Nano Drug Delivery | Excellence in Research

Dr. JAWAHAR NATARAJAN | Nano Drug Delivery | Excellence in Research

Associate Professor at JSS College of Pharmacy, Ooty JSS Acedemy of higher education and research, Mysuru, India

Dr. Jawahar Natarajan is an esteemed Associate Professor in the Department of Pharmaceutics at JSS College of Pharmacy, Ooty, with over 22 years of experience in pharmaceutical education and research. He earned his Ph.D. from JSS University in 2014, specializing in drug delivery systems, and holds an M. Pharm in Pharmaceutics. Dr. Natarajan has guided several Ph.D. scholars, successfully mentoring projects focused on advanced drug delivery technologies for neurological and oncological diseases. His extensive research contributions include numerous M. Pharm projects, demonstrating his commitment to innovative solutions in pharmaceuticals. In addition to his academic responsibilities, he has also undertaken a Diploma in Drug Regulatory Affairs and participated in online courses to enhance his expertise. His dedication to advancing pharmaceutical sciences makes him a prominent figure in his field, contributing significantly to both academic and industry-related advancements.

Profile

Education

Dr. Jawahar Natarajan completed his Ph.D. in Pharmaceutics at JSS College of Pharmacy, Ooty, under JSS University, Mysore, in 2014. He also holds a Master of Pharmacy (M.Pharm) degree in Pharmaceutics from K.M. College of Pharmacy, Madurai, completed in 2002 with a commendable 69% score. His academic journey began with a Bachelor of Pharmacy (B.Pharm) from A.K. College of Pharmacy, Krishnan Kovil, in 1999, where he graduated with 61%. In addition to his formal degrees, Dr. Natarajan pursued a Diploma in Drug Regulatory Affairs (DDRA) at the Institute of Pharmaceutical Education and Research, Pune, in 2010, achieving an excellent grade. He further enhanced his knowledge through an online certification course in Industrial Pharmacy from HNB Garhwal University in 2021, scoring 68%. Dr. Natarajan’s diverse educational background reflects his commitment to the field of pharmaceutical sciences, particularly in drug delivery systems.

Professional Experience

Dr. Jawahar Natarajan is an esteemed Associate Professor at the Department of Pharmaceutics, JSS College of Pharmacy in Ooty, affiliated with the JSS Academy of Higher Education and Research. With over 22 years of experience in academia, he has held various teaching positions at reputable institutions, including S. Chattanatha Karayalar College of Pharmacy and Swamy Vivekananda College of Pharmacy. Since joining JSS College of Pharmacy in 2007, Dr. Natarajan has progressed from Lecturer to Assistant Professor and then to his current role as Associate Professor, showcasing his commitment to pharmaceutical education and research. He has guided numerous Ph.D. scholars and M. Pharm students, focusing on innovative drug delivery systems, particularly in the areas of nanoparticle formulation and cancer therapeutics. Dr. Natarajan’s expertise is further complemented by his involvement in curriculum development and regulatory affairs, contributing significantly to the growth of pharmacy education in India.

Research Interest

Dr. Jawahar Natarajan’s research interests are primarily focused on drug delivery systems, particularly in the development of innovative formulations to enhance the bioavailability and therapeutic efficacy of pharmaceutical compounds. His work includes investigating novel nanocarrier systems, such as solid lipid nanoparticles, nanostructured lipid carriers, and liposomes, aimed at improving targeted delivery and minimizing side effects. Dr. Natarajan is also engaged in exploring the use of biocompatible and biodegradable materials in drug formulation, contributing to advancements in personalized medicine. His ongoing research projects involve the bio-directed green synthesis of nanoparticles and the modulation of metabolic pathways for cancer treatment, demonstrating his commitment to addressing significant health challenges. Additionally, Dr. Natarajan actively mentors Ph.D. scholars and oversees various M. Pharm projects, fostering the next generation of pharmaceutical researchers while promoting innovative solutions in the field of pharmaceutics.

Research Skills

Dr. Jawahar Natarajan possesses a diverse array of research skills, primarily focused on drug delivery systems within the field of pharmaceutics. With over 22 years of experience, he has developed a profound expertise in formulating nanoparticles, liposomes, and nanostructured lipid carriers, enhancing the bioavailability of various therapeutic agents. His proficiency extends to guiding Ph.D. scholars and M. Pharm students, where he has successfully supervised numerous research projects that explore innovative drug delivery methodologies. Dr. Natarajan is adept at utilizing advanced analytical techniques, including characterization methods for nanomaterials and pharmacokinetic evaluations. His commitment to research is reflected in his contributions to peer-reviewed journals and active participation in conferences. Additionally, his skills in regulatory affairs ensure compliance with industry standards, bolstering the translation of research findings into practical applications. Overall, Dr. Natarajan’s comprehensive skill set underpins his significant contributions to pharmaceutical research and education.

Award and Recognition

Dr. Jawahar Natarajan, an esteemed Associate Professor at JSS College of Pharmacy, has garnered significant recognition for his contributions to the field of pharmaceutics and drug delivery systems. With over 22 years of academic experience, he has successfully guided numerous Ph.D. and M. Pharm. scholars, leading innovative research in targeted drug delivery and nanotechnology. His commitment to excellence is reflected in his impactful publications in reputable journals and presentations at national and international conferences. Dr. Natarajan has also played a pivotal role in enhancing pharmaceutical education through his involvement in curriculum development and academic committees. His dedication to advancing the field has earned him accolades from peers and institutions alike, establishing him as a respected figure in pharmaceutical sciences. Furthermore, his ongoing research continues to contribute to the advancement of healthcare solutions, solidifying his reputation as a leader in pharmaceutical research and education.

Conclusion

Jawahar N. possesses a strong foundation for the Research for Excellence in Research award through his extensive experience, solid educational background, and commitment to research in drug delivery systems. By enhancing his publication record and seeking collaborative and funding opportunities, he could further bolster his candidacy. His dedication to mentoring students and contributing to innovative projects in pharmaceutics makes him a commendable nominee for this prestigious recognition. Overall, Jawahar’s contributions to the field are noteworthy, and with slight adjustments and enhancements in his research visibility and collaboration efforts, he is well-positioned to excel in his future endeavors.

Publication Top Notes
  1. Polymeric nanoparticles for drug delivery and targeting: A comprehensive review
    • Authors: N Jawahar, S Meyyanathan
    • Year: 2012
    • Journal: International Journal of Health & Allied Sciences
    • Volume/Issue/Page: 1 (4), 217-217
  2. Development of buccal tablets for curcumin using Anacardium occidentale gum
    • Authors: K Gowthamarajan, N Jawahar, P Wake, K Jain, S Sood
    • Year: 2012
    • Journal: Carbohydrate Polymers
    • Volume/Issue/Page: 88 (4), 1177-1183
  3. Preparation and evaluation of sustained release matrix tablet of diclofenac sodium using natural polymer
    • Authors: GNK Ganesh, R Sureshkumar, N Jawahar, V Senthil, DN Venkatesh, …
    • Year: 2010
    • Journal: Journal of Pharmaceutical Sciences and Research
    • Volume/Issue/Page: 2 (6), 360
  4. Enhanced oral bioavailability of an antipsychotic drug through nanostructured lipid carriers
    • Authors: N Jawahar, PK Hingarh, R Arun, J Selvaraj, A Anbarasan, …
    • Year: 2018
    • Journal: International Journal of Biological Macromolecules
    • Volume/Issue/Page: 110, 269-275
  5. Solid lipid nanoparticles for oral delivery of poorly soluble drugs
    • Authors: N Jawahar, SN Meyyanathan, G Reddy, S Sood
    • Year: 2012
    • Journal: Journal of Pharmaceutical Sciences and Research
    • Volume/Issue/Page: 4 (7), 1848
  6. Olanzapine loaded cationic solid lipid nanoparticles for improved oral bioavailability
    • Authors: S Sood, N Jawahar, K Jain, K Gowthamarajan, S Nainar Meyyanathan
    • Year: 2013
    • Journal: Current Nanoscience
    • Volume/Issue/Page: 9 (1), 26-34
  7. Anti–arthritic activity of bark extracts of Alangium salviifolium Wang
    • Authors: S Jubie, N Jawahar, R Koshy, B Gowramma, V Murugan, B Suresh
    • Year: 2008
    • Journal: Rasayan J. Chem
    • Volume/Issue/Page: 1 (3), 433-436
  8. Preparation and characterisation of PLGA-nanoparticles containing an anti-hypertensive agent
    • Authors: N Jawahar, T Eagappanath, N Venkatesh, S Jubie, MK Samanta
    • Year: 2009
    • Journal: International Journal of Pharm Tech Research
    • Volume/Issue/Page: 1 (2), 390-393
  9. Nanoparticles: A novel pulmonary drug delivery system for tuberculosis
    • Authors: N Jawahar, G Reddy
    • Year: 2012
    • Journal: Journal of Pharmaceutical Sciences and Research
    • Volume/Issue/Page: 4 (8), 1901
  10. Synthesis and biological evaluation of some 3-(methoxy phenyl)-2-aryl-thiazolidin-4-one derivatives
    • Authors: S Jubie, B Gowramma, KM Nitin, N Jawahar, R Kalirajan, S Gomathy, …
    • Year: 2009
    • Journal: Indian Journal of Pharmaceutical Sciences
    • Volume/Issue/Page: 1 (1), 32-38

 

 

 

 

Dr. Cong Guo | Computer Science | Best Researcher Award

Dr. Cong Guo | Computer Science | Best Researcher Award

Nurse Practitioner at UNC Blue Ridge, United States.

Cong Guo, who earned his master’s degree in 2024 from the School of Computer and Information Engineering at Henan University, is currently pursuing a PhD in Computer Science and Technology at Zhejiang Normal University. His research specializes in machine learning and pattern recognition, fields that are increasingly relevant in today’s data-driven landscape. Guo has made significant contributions to the field, as evidenced by his publications, including a novel feature selection framework for incomplete data and a method for iterative missing value imputation based on feature importance. These works demonstrate his innovative approach to addressing common challenges in data science. While his academic background and publication record are impressive, expanding his publication scope and enhancing networking opportunities could further elevate his research impact. With his solid foundation and commitment to advancing knowledge in machine learning, Cong Guo is a promising candidate for recognition as a leading researcher.

Profile:

Education

Cong Guo received his master’s degree in 2024 from the School of Computer and Information Engineering at Henan University, where he laid a strong foundation in computer science principles and research methodologies. His academic journey has been characterized by a focus on machine learning and pattern recognition, reflecting his passion for harnessing data to solve complex problems. Currently, Cong is pursuing his Ph.D. at the School of Computer Science and Technology at Zhejiang Normal University, further enhancing his expertise in these cutting-edge fields. His educational experiences have equipped him with essential skills in data analysis, algorithm development, and statistical modeling, which are critical for his research. Throughout his studies, Cong has demonstrated a commitment to academic excellence and innovation, making significant strides in understanding and improving feature selection and data imputation techniques. His educational background positions him as a promising researcher in the rapidly evolving landscape of computer science.

Professional Experiences 

Cong Guo has demonstrated significant commitment to his academic and professional development in the field of computer science. He obtained his master’s degree from the School of Computer and Information Engineering at Henan University in 2024, where he developed a solid foundation in computer science principles and applications. Currently, he is pursuing his PhD at the School of Computer Science and Technology at Zhejiang Normal University, focusing on machine learning and pattern recognition. During his studies, Guo has engaged in research projects that involve innovative approaches to data analysis, particularly in handling incomplete datasets and missing value imputation. His publications in reputable journals reflect his dedication to advancing knowledge in his field. Additionally, his collaborative work with fellow researchers highlights his ability to contribute effectively to team-oriented projects, enhancing his experience and understanding of complex computational problems. This combination of academic rigor and research experience positions Guo as a promising researcher in computer science.

Research Interests

Cong Guo’s research interests lie primarily in the fields of machine learning and pattern recognition, where he aims to develop innovative algorithms and frameworks to address real-world challenges in data analysis. His work focuses on enhancing feature selection and imputation techniques, particularly in the context of incomplete datasets, which are common in many applications. By investigating novel approaches to handle missing data, Cong seeks to improve the accuracy and efficiency of machine learning models. Additionally, he is interested in exploring the broader implications of machine learning across various domains, such as healthcare, finance, and environmental science. Cong’s passion for advancing knowledge in these areas drives his commitment to research that not only contributes to theoretical advancements but also has practical applications that can benefit society. Through his ongoing doctoral studies and collaborative projects, he aims to further explore the intersections of machine learning and real-world problem-solving.

Research Skills 

Cong Guo possesses a robust set of research skills that enhance his capabilities in machine learning and pattern recognition. His proficiency in feature selection and data imputation techniques demonstrates a strong analytical mindset, enabling him to address complex challenges in handling incomplete datasets effectively. Guo is adept at employing various machine learning algorithms and tools, which allows him to develop innovative frameworks that optimize data analysis processes. His experience in collaborative research, evidenced by his co-authored publications, showcases his ability to work effectively in teams, share ideas, and contribute to collective goals. Additionally, Guo’s familiarity with statistical methods and computational techniques underpins his research, ensuring that his findings are both rigorous and applicable. His commitment to continuous learning and adaptation to emerging trends in technology further solidifies his expertise, making him a valuable asset in advancing the field of computer science and information engineering.

Award and Recognition 

Cong Guo has distinguished himself in the field of machine learning and pattern recognition, earning recognition for his innovative research contributions. He completed his master’s degree in 2024 at the School of Computer and Information Engineering, Henan University, where he developed a strong foundation in computational methodologies. Currently pursuing his PhD at Zhejiang Normal University, Cong has co-authored impactful publications, including “A novel feature selection framework for incomplete data” and “Iterative missing value imputation based on feature importance,” which have been well-received in reputable journals. His research not only addresses critical challenges in data science but also demonstrates his potential to influence future advancements in the field. Cong’s commitment to academic excellence and his collaborative spirit have garnered him respect among peers and mentors alike, positioning him as a promising candidate for the Best Researcher Award. His ongoing efforts are indicative of a bright future in research and innovation.

Conclusion

Cong Guo exhibits a promising trajectory in research, with a strong academic foundation and relevant publications in machine learning and pattern recognition. His commitment to advancing the field is evident in his current work. By broadening his publication efforts and enhancing his professional network, he can significantly improve his contributions to research. Given his strengths and potential for growth, Cong Guo is a suitable candidate for the Best Researcher Award.

Publication Top Notes
  1. A novel feature selection framework for incomplete data
  2. Iterative missing value imputation based on feature importance
  3. KNCFS: Feature selection for high-dimensional datasets based on improved random multi-subspace learning

 

 

Aniruddha Deka | Computer Science | Best Researcher Award

Dr. Aniruddha Deka | Computer Science | Best Researcher Award

Associate Professor at Assam down town University, India.

Dr. Aniruddha Deka is a respected figure in the academic and research community of Computer Science and Engineering, currently holding the position of Associate Dean (Academics) and Associate Professor at Assam down town University, Guwahati, Assam. With an impressive educational background that includes a Ph.D. in Speech Processing from Bodoland University, an M.Tech in IT from Gauhati University, and a B.E in CSE from North Eastern Hill University, Dr. Deka has built a career marked by significant achievements in teaching, research, and administration.

Professional Profiles:

Education:

Dr. Aniruddha Deka has pursued a comprehensive academic journey, culminating in significant achievements across various levels of higher education. His educational endeavors include a Ph.D. in Speech Processing from Bodoland University, earned in 2019, which underscores his specialized expertise in this domain. Prior to this, he obtained a Master’s degree in Information Technology (IT) from Gauhati University in 2012, and a Bachelor’s degree in Computer Science and Engineering (CSE) from North Eastern Hill University in 2006. Dr. Deka’s academic foundation was laid with his Higher Secondary (H.S.) education in Science from the Assam Higher Secondary Education Council in 2002, followed by his High School Leaving Certificate (H.S.L.C) from the Secondary Education Board of Assam (SEBA) in 1999. This rich educational background reflects his commitment to advancing knowledge and expertise in the field of Computer Science and Engineering.

Research Experience:

Dr. Aniruddha Deka has amassed a wealth of research experience across various domains within Computer Science and Engineering. His contributions encompass cutting-edge research in speech processing, where he has delved into innovative methods for analyzing and interpreting speech signals, thereby advancing the fields of speech recognition, synthesis, and understanding. Additionally, Dr. Deka has actively engaged in software development projects during his tenure as an Assistant Project Engineer at IIT Guwahati, demonstrating his ability to design and implement solutions to real-world problems. As an academic leader and Associate Dean (Academics), he has played a pivotal role in fostering a culture of research within his institution, providing mentorship to students and faculty members and promoting interdisciplinary collaborations. Furthermore, his industry experience as an Assistant System Engineer at TCS has equipped him with valuable insights into industry practices, facilitating collaboration between academia and industry. Dr. Deka’s diverse research portfolio underscores his dedication to advancing knowledge and driving innovation in Computer Science and Engineering.

Research Interest:

Dr. Aniruddha Deka’s research interests lie at the intersection of technology and its practical applications, particularly within the realm of Computer Science and Engineering. With a keen focus on speech processing, he seeks to unravel the complexities of analyzing and interpreting speech signals, aiming to enhance speech recognition, synthesis, and understanding technologies. Dr. Deka is also intrigued by the possibilities offered by software development, where he explores innovative solutions to real-world challenges, leveraging his expertise to create impactful tools and systems. Furthermore, as an academic leader, he is deeply committed to fostering a vibrant research culture within his institution, encouraging interdisciplinary collaborations and guiding aspiring researchers towards meaningful contributions in their respective fields. Dr. Deka’s research interests reflect his dedication to pushing the boundaries of knowledge and technology, with a vision to address pressing societal needs and drive positive change through innovative research endeavors.

Award and Honors:

Dr. Aniruddha Deka’s exceptional contributions to Computer Science and Engineering have garnered him recognition and honors throughout his career. His dedication to excellence in teaching, research, and academic leadership has been acknowledged through a variety of awards. These include the Outstanding Researcher Award, which celebrates his significant advancements in speech processing and software development, highlighting his impact on pushing the boundaries of knowledge in the field. Additionally, his role as Associate Dean (Academics) has been honored with the Excellence in Academic Leadership Award, recognizing his efforts in fostering a culture of research and academic excellence within his institution. Dr. Deka’s scholarly work has also been recognized with Best Paper Awards, underscoring the quality and significance of his research contributions. Furthermore, his industry experience and service on academic committees have earned him industry recognition and service awards, reflecting his multifaceted expertise and commitment to both academia and industry. These accolades serve as a testament to Dr. Deka’s outstanding achievements and leadership in Computer Science and Engineering, solidifying his reputation as a respected figure in the field.

Research Skills:

Dr. Aniruddha Deka possesses a diverse set of research skills honed through years of academic and professional experience in Computer Science and Engineering. With a solid foundation in research methodologies acquired during his doctoral and postgraduate studies, Dr. Deka demonstrates proficiency in experimental design, data collection, and statistical analysis. His expertise extends to conducting comprehensive literature reviews, critically evaluating existing research, and identifying gaps in knowledge to inform his own research endeavors. Dr. Deka’s strong analytical skills enable him to derive meaningful insights from complex datasets, contributing to advancements in speech processing and software development. Moreover, his collaborative approach and effective communication skills facilitate interdisciplinary collaborations, fostering innovative research projects that address real-world challenges. As an academic leader, Dr. Deka is committed to mentoring students and guiding them in developing their research skills, ensuring the next generation of researchers is equipped to make significant contributions to the field. Overall, Dr. Aniruddha Deka’s research skills, coupled with his dedication to excellence, position him as a valuable asset to the research community in Computer Science and Engineering.

Publications:

Early diagnosis of rice plant disease using machine learning techniques – M Sharma, CJ Kumar, A Deka, Archives of Phytopathology and Plant Protection, 55 (3), 259-283, 2022. Citations: 61

Assamese spoken query system to access the price of agricultural commodities – S Shahnawazuddin, D Thotappa, BD Sarma, A Deka, SRM Prasanna, et al., 2013 National Conference on Communications (NCC), 1-5, 2013. Citations: 29

Low complexity on-line adaptation techniques in context of Assamese spoken query system – S Shahnawazuddin, KT Deepak, BD Sarma, A Deka, SRM Prasanna, et al., Journal of Signal Processing Systems, 81, 83-97, 2015. Citations: 11

Land cover classification: a comparative analysis of clustering techniques using Sentinel-2 data – M Sharma, CJ Kumar, A Deka, International Journal of Sustainable Agricultural Management and Informatics, 2021. Citations: 8

A Comparative Analysis of Vegetation Radiometric Indices for Classification of Bambusa Tulda using Satellite Imagery – M Sharma, A Deka, International Journal of Computer Sciences and Engineering Open Access, 7 (1), 2019. Citations: 4

Spoken dialog system in Bodo language for agro services – A Deka, MK Deka, Advances in Electronics, Communication and Computing: ETAEERE-2016, 623-631, 2018. Citations: 4

Speaker independent speech based telephony service for agro service using asterisk and sphinx 3 – A Deka, MK Deka, Int. J. Comput. Sci. Eng. Open Access, 4, 47-52, 2016. Citations: 3

A review of physiological signal processing via Machine Learning (ML) for personal stress detection – M Lourens, SM Beram, BB Borah, AP Dube, A Deka, V Tripathi, 2022 2nd International Conference on Advance Computing and Innovative …, 2022. Citations: 2

A hybrid Grasshopper optimization algorithm for skin lesion segmentation and melanoma classification using deep learning – P Thapar, M Rakhra, M Alsaadi, A Quraishi, A Deka, JVN Ramesh, Healthcare Analytics, 100326, 2024. Citations:

HandloomGCN: Real-time handloom design generation using Generated Cellular Network – A Das, A Deka, International Journal of Computing and Digital Systems, 16 (1), 1-10, 2024.