My research is related to atomic physics, quantum optics, lasers, and optical nanofiber. I have worked with room temperature, cold and ultracold atoms and used them to understand the fundamental and applied areas of physics.

  • Ph.D. in Physics: Tata Institute of Fundamental Research, Mumbai (2011) Thesis Title: Deep-cooled fermionic and bosonic potassium atoms in a multi-species laser-cooling and trapping set-up. Advisor: Prof. C. S. UnnikrishnanIn my thesis work, bosonic and fermionic isotopes of potassium atoms were laser-cooled in a compact 2D-3D magneto-optical trap setup. Further special sub-Doppler cooling technique, namely polarization gradient cooling was implemented to cool both the isotopes to tens of micro Kelvin. Temperatures obtained for the 39K using polarization gradient cooling were among the very first lowest temperatures reported.

No Data

  • Dr. Vandna Gokhroo is an Assistant Professor at École Centrale School of Engineering, Mahindra University.
  • Staff Scientist: OIST Graduate University, Okinawa, Japan (2019-2021)
    Research work in the group of Prof. Síle Nic Chormaic: Experiments using laser-cooled Rb atoms near an optical nanofiber.
  • Postdoctoral Research Associate: Washington State University, Pullman, WA, USA (2015-2018)
    Research work in the group of Prof. Peter Engels: Experiments using Bose-Einstein condensates to understand condensed matter phenomena and hydrodynamics.
  • Postdoctoral Scholar: OIST Graduate University, Okinawa, Japan (2012-2015)
    Research work in the group of Prof. Síle Nic Chormaic: Experiments using laser-cooled Rb atoms and optical nanofiber.
  • Visiting Scientist (2012): Raman Research Institute, Bangalore, India
    Research work in the group of Prof. Hema Ramachandran: Experiments using laser-cooled Rb atoms.

  • My research area is based on experiments with laser-cooled atoms to understand the fundamental aspects in physics e.g. atom-light interaction.
  • Atoms at room temperature move with a mean speed of a few hundreds of meters per second. These high-velocities result in frequent collisions with walls and with other atoms and also in the spectral line broadening. The motion or temperature of the atoms can be reduced to the sub-milliKelvin regime or even lower using the laser beams of the appropriate frequency. Slow atoms are extremely useful in exploring quantum optics, precision experiments, etc.
  • I have also worked on experiments with laser-cooled atoms near a sub-wavelength diameter fiber namely optical nanofiber. Such a system has unique advantages to study a variety of atomic physics experiments at ultralow powers and also has future applications in quantum technologies.

Dr. Shabnam Samima is currently working as an Assistant Professor in the Department of Computer Science and Engineering at École Centrale School of Engineering, Mahindra University, Hyderabad.

She received her B. Tech. degree in Information Technology from Murshidabad College of Engineering and Technology (Affiliated with West Bengal University of Technology) in the year 2012. In 2014, she received her M. Tech. degree in the specialization of Software Engineering at the National Institute of Technology Durgapur. She completed her Ph.D. program at the Indian Institute of Technology Kharagpur in 2021. She joined the CSE department of Mahindra University (MU) as an Assistant Professor on 18th July 2022. Before joining (MU), she was working as an Assistant professor at GITAM University Hyderabad since August 2020.

Her research interests include Signal Processing, Feature Extraction, Noise Reduction, FFT, Event-Related Potential, Brain-Computer Interaction, Machine Learning, Artificial Intelligence, Image and Video Processing, Steganography, and Human Reliability Assessment. Also, she is an active reviewer for journals like Cognition Technology and Work (Springer), Sensors (IEEE), Access (IEEE), Journal of Biomedical and Health Informatics (IEEE), and Transactions on Biomedical Engineering (IEEE).

  • Ph. D. from IIT Kharagpur on Human Reliability Assessment using Vigilance and Mental Workload of a Human.
  • M. Tech. in Software Engineering from NIT Durgapur in 2014 (Third position in the department).
  • B. Tech. in Information Technology from W.B.U.T (Murshidabad College of Engineering and Technology) in 2012 (1st position in the department).
  • 12th from Kendriya Vidyalaya, Berhampore (West Bengal) affiliated to CBSE in 2008.
  • 10<sup>th</sup> from GitaRam Academy, Berhampore (West Bengal) affiliated to CISCE in 2006.

Journal(s):
  • Samima, S. and Sarma, M., “PSPHERE: person specific human error estimation”, Journal of Reliable Intelligent Environments, 8, pages-133–164 (2022). doi: https://doi.org/10.1007/s40860-021-00146-1.
  • Samima, S. and Sarma, M., “Mental Workload Level Assessment based on compounded Hysteresis Effect”, Cognitive Neurodynamics, 2022. doi: https://doi.org/10.1007/s11571-022-09830-1.
  • Samima, S., Sarma, M., Samanta, D., and Prasad, G., 2019. “Estimation and quantification of vigilance using ERPs and eye blink rate with a fuzzy model-based approach.” Cognition, Technology & Work, 21(3), pp. 517-533.
  • Roy, Ratnakirti, Shabnam Samima, and Suvamoy Changder. “A map-based image steganography scheme for RGB images.” International Journal of Information and Computer Security 7.2-4 (2015): 196-215.
Conference(s):
  • Samima, S. and Sarma, M., “EEG-Based Mental Workload Estimation”, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2019.
  • Cheema, B. S., Samima, S., Sarma, M., & Samanta, D. (2018, July). “Mental Workload Estimation from EEG Signals Using Machine Learning Algorithms.” In International Conference on Engineering Psychology and Cognitive Ergonomics (pp. 265-284). Springer, Cham.
  • Samima, Shabnam, Monalisa Sarma, and Debasis Samanta. “Correlation of P300 ERPs with visual stimuli and its application to vigilance detection.” 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2017.
  • Samima, Shabnam, Monalisa Sarma, and Debasis Samanta. “Detecting Vigilance in People Performing Continual Monitoring Task.” International Conference on Intelligent Human Computer Interaction. Springer, Cham, 2017.
  • SR Sreeja, Vaidic Joshi, Shabnam Samima, Anushri Saha, Joytirmoy Rabha, Baljeet Singh Cheema, Debasis Samanta, Pabitra Mitra. “BCI augmented text entry mechanism for people with special needs.” International Conference on Intelligent Human Computer Interaction. Springer, Cham, 2016.
  • Samima, Shabnam, Ratnakirti Roy, and Suvamoy Changder. “Secure key based image realization steganography.” 2013 IEEE Second International Conference on Image Information Processing (ICIIP-2013). IEEE, 2013.

  • Assistant Professor, Department of Computer Science and Engineering, Mahindra University, (since July 2022
  • Assistant Professor, Department of Computer Science and Engineering, GITAM University, Hyderabad Campus (August 2020 – June 2022)
  • Teaching Assistant for Programming and Data Structures Lab (Spring Semester, 2017), Indian Institute of Technology Kharagpur.
  • 6 months of project experience Standardization of Virtual Keyboard in Indic Languages at IIT Kharagpur, sponsored by Department of Information Technology, Ministry of Information and Communication Technology, Govt. of India. (July 2014-December 2014.

Research Areas:

  • Brain-Computer Interaction
  • Human Reliability Assessment
  • Image Steganography
  • Image and Video Processing

Mr. Mahesh Chowdary Kongara is an Assistant Professor in the Department of Computer Science and Engineering at Mahindra University. He has submitted his Ph.D. thesis in the Department of Computer Science and Engineering at National Institute of Technology Goa. He received his M.Tech degree in Computer Science and Engineering from National Institute of Technology Goa.

  • National Institute of Technology Goa, Ponda, India.
    Ph.D. (Thesis Submitted) in Computer Science and Engineering
  • National Institute of Technology Goa, Ponda, India.
    M.Tech. in Computer Science and Engineering
  • Sree Vidyanikethan Engineering College (Currently Mohan Babu University), Tirupati, India.
    B.Tech. in Computer Science and Engineering

Journals :
  • Mahesh Chowdary Kongara, Venkatanareshbabu Kuppili, Damodar Reddy Edla. “Energy-Efficient Load Balancing Strategy for Wireless Sensor Networks using Quasi-Oppositional based Jaya Optimization.”, Wireless Personal Communications, vol.118, no.4, pp:2319-2343, 2021.
  • Mahesh Chowdary Kongara, Venkatanareshbabu Kuppili. “Enhanced Clustering and Intelligent Mobile Sink Path Construction for an Efficient Data Gathering in Wireless Sensor Networks.”, Arabian Journal for Science and Engineering, vol.46, no.9, pp:8329-8344, 2021.
  • Kannadasan K, Damodar Reddy Edla, Mahesh Chowdary Kongara, Venkatanareshbabu Kuppili. “M-curves path planning model for mobile anchor node and localization of sensor nodes using dolphin swarm algorithm.”, Wireless Networks, vol.26, no.4, pp:2769-2783, 2020.
  • Damodar Reddy Edla, Mahesh Chowdary Kongara, Ramalingaswamy Cheruku. “SCE-PSO based clustering approach for load balancing of gateways in wireless sensor networks.” Wireless Networks, vol.25, no.3, pp:1067-1081, 2019.
  • Damodar Reddy Edla, Mahesh Chowdary Kongara, Ramalingaswamy Cheruku. “A PSO based routing with novel fitness function for improving lifetime of WSNs.”, Wireless Personal Communications, vol.104, no.1, pp:73-89, 2019.
Network and Computer Applications
  • Mahesh Chowdary Kongara, Venkatanareshbabu Kuppili, “A Novel Energy Replenishment Scheme using Multi-Objective Optimization in On-demand Wireless Rechargeable Sensor Networks.”, (Communicated to Journal of Network and Computer Applications).
Applied Soft Computing
  • Mahesh Chowdary Kongara, Venkatanareshbabu Kuppili, “An Energy-Efficient Charging Tour using Fuzzy Logic and Shuffled Frog-Leaping Algorithm with Effective Search Strategies in On-demand WRSNs.”, Applied Soft Computing (Under Review).
Conferences :
  • Mahesh Chowdary Kongara, Venkatanareshbabu Kuppili. “A Hybrid Meta-Heuristic Algorithm for Energy-Efficient Data Gathering in Heterogeneous Wireless Sensor Networks.”, The 11th International Conference on Computer Science and Computational Mathematics (ICCSCM), malaysia, 2022.
  • Mahesh Chowdary Kongara, Venkatanareshbabu Kuppili, Damodar Reddy Edla. “Dynamic Cluster Formation Mechanism in Wireless Sensor Networks Using Fuzzy Logic.”, In 2019 International Conference on Applied Machine Learning (ICAML), Bhubaneswar, IEEE, pp: 291-295, 2019.
Book :
  • Damodar Reddy Edla, Mahesh Chowdary Kongara, Amruta Lipare, Venkatanareshbabu Kuppili, Kannadasan K. “Wireless Sensor Networks: Evolutionary Algorithms for Optimizing Performance.”, Chapman and Hall/CRC (2020).
Journal invited Reviewer :
Ambient Intelligence
  • Journal of Ambient Intelligence and Humanized Computing
Applied Sciences
  • SN Applied Sciences

  • Mr. Mahesh Chowdary Kongara is an Assistant Professor in the Department of Computer Science and Engineering at Mahindra University.
  • Teaching Assistant, National Institute of Technology Goa (January 2018 to July 2022)
  • Research cum Teaching Assistant, National Institute of Technology Goa (July 2015 to July 2017)

Research interests are Soft Computing, Wireless Sensor Networks, Internet of Things

Dr. Tauheed Ahmed is currently working as an Assistant Professor in the department of Computer Science and Engineering at École Centrale School of Engineering, Mahindra University, Hyderabad.

He received his B. Tech. degree in Computer Science and Engineering from Northern India Engineering College, Lucknow (Affiliated with Dr. A.P.J. Abdul Kalam Technical University Lucknow) in year 2011. In 2014, he received his M. Tech. degree in the specialization of Software Engineering at National Institute of Technology Durgapur. He completed his Ph.D. program from Indian Institute of Technology Kharagpur in 2021. He joined the CSE department of Mahindra University (MU) as an Assistant Professor on 6th July 2022. Before joining (MU), he was working as an Assistant professor in GITAM University Hyderabad since August. 2020.

His research interests include Image Processing, Biometric Data Indexing and Steganography.

  • Ph. D. from IIT Kharagpur on Fast, Accurate and Reliable indexing Biometric Data in 2021.
  • M. Tech. in Software Engineering from NIT Durgapur in 2014 with overall GPA of 9.38/10 (Institute Gold Medal)
  • B. Tech. in Computer Science and Engineering from U.P.T.U (Northern India Engineering College) in 2011 with 74.58%
  • Intermediate from Vindhyavasini Public School, Mirzapur (Uttar Pradesh) with 69.4 % in 2006
  • High School from Vindhyavasini Public School, Mirzapur (Uttar Pradesh) with 84.8 % in 2004

Journal
  • Tauheed Ahmed, and Monalisa Sarma. “Hash-based space partitioning approach to iris biometric data indexing.” Expert Systems with Applications 134 (2019): 1-13
  • Tauheed Ahmed, and Monalisa Sarma. “An advanced fingerprint matching using minutiae based indirect local features.” Multimedia Tools and Applications 77, no. 15 (2018): 1993119950.
  • Tauheed Ahmed, and Monalisa Sarma. “Locality sensitive hashing-based space partitioning approach for indexing multidimensional feature vectors of fingerprint image data.” IET Image Processing 12, no. 6 (2018): 1056-1064.
  • Roy, Ratnakirti, Tauheed Ahmed, and Suvamoy Changder. “Watermarking through image geometry change tracking.” Visual Informatics 2, no. 2 (2018): 125-135.
Conference
  • Tauheed Ahmed, M. Sarma and D. Samanta, “A Fuzzy-based Two-stage Biometric Sample Quality Evaluation System,” ICASSP 2019 – 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom, 2019, pp. 2317-2321.
  • Tauheed Ahmed, Ratnakirti Roy, and Suvamoy Changder. “Cropping and rotation invariant watermarking scheme in the spatial domain.” ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India-Vol II. Springer, Cham, 2014.

  • Assistant Professor, Department of Computer Science and Engineering, Mahindra University, (since July 2022)
  • Assistant Professor, Department of Computer Science and Engineering, GITAM University, Hyderabad Campus (August. 2020 – June 2022)

Research Areas:

  • Biometric Data Indexing
  • Watermarking and Steganography
  • Image and Video Processing

Dr. Ramakant Yadav is a member of IEEE and has a teaching experience of more than 9 years. He received his B. Tech. degree in Electronics and Communication Engineering from Chhatrapati Shahu Ji Maharaj University, Kanpur in year 2010. In 2012, he received his M. Tech. degree in Signal Processing specialization from Indian Institute of Technology Guwahati. He completed his Ph.D. program in the EEE department of BITS Pilani, in the area Tunnel Field Effect Transistor in 2022. He joined the EEE department of Mahindra University (MU) as an Assistant Professor on 20th June 2022. Before joining (MU), he has been associated with Birla Institute of Technology and Science (BITS) Pilani, Hyderabad Campus, as an Assistant Professor in the Electrical and Electronics Engineering Department, since Feb. 2016. His research interests include Tunnel FETs, semiconductor devices and VLSI circuit design.

  • Ph. D. (EEE Department), Semiconductor Devices, Birla Institute of Technology and Science Pilani, 2022.
  • M. Tech. (EEE Department), Signal Processing, Indian Institute Technology Guwahati, 2012.
  • B. Tech. (Electronics and Communication Engineering), Chhatrapati Shahu Ji Maharaj University, Kanpur, 2010.

Journal Articles Published
  • Ramakant Yadav, Surya Shankar Dan, and Simhadri Hariprasad, ‘Low and High Vt GOTFET Devices Outperform Standard CMOS Technology in Ternary Logic Applications’, IETE Technical Review, issue 38 pp – 1-10, Aug 2021, Impact Factor: 2.20. (https://doi.org/10.1080/02564602.2021.1960903).
  • Simhadri Hariprasad, Surya Shankar Dan, Ramakant Yadav, and, Ashutosh Mishra ‘Double-Gate Line-Tunneling FET (DGLTFET) Devices for Superior Analog Performance’, Wiley International Journal on Circuits Theory and Applications, vol. 49, pp. 2094-2111, April 2021, Impact Factor: 2.038.(https://doi.org/10.1002/cta.3002).
  • Ramakant Yadav, Surya Shankar Dan, Sanjay Vidhyadharan and Simhadri Hariprasad, ‘Suppression of Ambipolar Behavior and Simultaneous Improvement in RF Performance of Gate-Overlap Tunnel Field Effect Transistor (GOTFET)’, Springer Silicon Journal, vol. 13, pp. 1185–1197, July 2020, Impact Factor: 2.67. (https://doi.org/10.1007/s12633-020-00506-1).
  • Ramakant Yadav, Surya Shankar Dan, Sanjay Vidhyadharan and Simhadri Hariprasad, ‘Innovative multi‐threshold gate‐overlap tunnel FET (GOTFET) devices for superior ultra‐low power digital, ternary and analog circuits at 45 nm technology node’, Springer Journal of Computational Electronics. vol. 19, pp. 291-303, January 2020, Impact Factor: 1.807. (https://doi.org/10.1007/s10825-019-01440-1).
  • Sanjay Vidhyadharan, Surya Shankar Dan, Ramakant Yadav, and Simhadri Hariprasad, ‘An Innovative Ultra-Low Voltage GOTFET based Regenerative-Latch Schmitt Trigger’, Elsevier Microelectronics Journal, vol. 104, p. 104879, August 2020, Impact Factor: 1.607. (https://doi.org/10.1016/j.mejo.2020.104879).
  • Sanjay Vidhyadharan, Surya Shankar Dan, Abhay S, V, Ramakant Yadav, and Simhadri Hariprasad, ‘Novel Gate-Overlap Tunnel FET based Innovative Ultra-Low Power Ternary Flash ADC’, Elsevier Integration, the VLSI Journal, vol. 73, pp. 101-113, April 2020, Impact Factor: 1.211. (https://doi.org/10.1016/j.vlsi.2020.03.006).
  • Sanjay Vidhyadharan, Surya Shankar Dan, Ramakant Yadav, and Simhadri Hariprasad, ‘A Novel Ultra-Low Power Gate-Overlap Tunnel FET (GOTFET) Dynamic Adder’, Taylor and Francis International Journal of Electronics, vol. 107, no. 10, pp. 1663-1681, Mar 2020, Impact Factor: 1.336. (https://doi.org/10.1080/00207217.2020.1740800).
  • Sanjay Vidhyadharan, Ramakant Yadav, Simhadri Hariprasad and Surya Shankar Dan, ‘A nanoscale gate overlap tunnel FET (GOTFET) based improved double tail dynamic comparator for ultra-low-power VLSI applications’, Springer Analog Integrated Circuits and Signal Processing, Vol. 101, pp. 109-117, June 2019, Impact Factor: 1.337. (https://doi.org/10.1007/s10470-019-01487-x).
  • Sanjay Vidhyadharan, Ramakant Yadav, Simhadri Hariprasad and Surya Shankar Dan, ‘An advanced adiabatic logic using Gate Overlap Tunnel FET (GOTFET) devices for ultra-low power VLSI sensor applications’, Springer Analog Integrated Circuits and Signal Processing, Vol. 102, pp. 111-123, November 2019, Impact Factor: 1.337 (https://doi.org/10.1007/s10470-019-01561-4).
Book Chapters Published:
  • Simhadri Hariprasad, Ramakant Yadav, and Surya Shankar Dan, “Novel Gate-Overlap Tunnel FETs for Superior Analog, Digital, and Ternary Logic Circuit Applications,” by CRC Press, ISBN 9781032414256
  • Soha Maqbool Bhat, Pooran Singh, Ramakant Yadav, Shiromani Balmukund Rahi, Billel Smaani, Abhishek Kumar Upadhyay, Young Suh Song, “Technical Demands of Low-Power Electronics,” by CRC Press, ISBN 9781032445311
    • Ramakant, Sanjay Vidhyadharan, Gangishetty Akhilesh, Vaibhav Gupta, Anand Ravi and Surya Shankar Dan, ‘Part I: Optimization of the Tunnel FET Device Structure for Achieving Circuit Performance Better than the Current Standard 45 nm CMOS Technology’, Springer Proceedings in Physics, vol. 215, pp. 611–618, Feb 2019, R. K. Sharma and D. S. Rawal, Eds. Cham: Springer International Publishing. (https://doi.org/10.1007/978-3-319-97604-4_95).
    • Sanjay Vidhyadharan, Ramakant, G. Akhilesh, Vaibhav Gupta, Anand Ravi and Surya Shankar Dan , ‘Part II: Benchmarking the Performance of Optimized TFET-Based Circuits with the Standard45 nm CMOS Technology using Device & Circuit Co-Simulation Methodology’, Springer Proceedings in Physics, vol. 215, pp. 619-628, Feb 2019, R. K. Sharma and D. S. Rawal, Eds. Cham: Springer International Publishing.
    Conference Papers Published
    • Ramakant, Sanjay Vidhyadharan, A. Krishna Shyam, Mohit P. Hirpara, Tanmay Chaudhary and Surya Shankar Dan, ‘Novel Low and High Threshold TFET Based NTI and PTI Cells Benchmarked with Standard 45 nm CMOS Technology for Ternary Logic Applications’, 32nd International Conference on VLSI Design (VLSID 2019), May 2019, pp – 419 – 424 New Delhi. (https://doi.org/10.1109/VLSID.2019.00090).
    • Sanjay Vidhyadharan, Ramakant Yadav, Abhay SV, A. Krishna Shyam, Mohit P. Hirpara and Surya Shankar Dan, ‘An Efficient Design Approach for Implementation of 2-bit Ternary Flash ADC Using Optimized Complementary TFET Devices’, 32nd International Conference on VLSI Design (VLSID 2019), pp-401-406 New Delhi. (https://doi.org/10.1109/VLSID.2019.00087).
    • Ramakant, Noor-e-Karishma Shaik, Lathasree Veerapalli, ‘Sign Language Recognition Through Fusion of 5-DT Data Glove and Camera Based Information’, 2015 IEEE International Advance Computing Conference (IACC), pp. 639-643, July 2015. (https://doi.org/10.1109/IADCC.2015.7154785).

    • Assistant Professor, Electrical & Electronics Department, Mahindra University, (since June 2022)
    • Assistant Professor, Electrical & Electronics Engineering Department, BITS Pilani, Hyderabad Campus (Feb. 2016 – June 2022)
    • Lecturer, Electronics & Communication Engineering Department, RGUKT IIIT R K Valley, Kadapa (July 2012 – Jan. 2016)

    Research Projects

    • Project Title: Design and Performance Investigation of Negative Capacitance Tunnel Field Effect Transistor
      (NC-TFET) for Ultra-Lower Power Binary, Ternary, and Analog VLSI Applications.
    • Name of the investigators: Dr. Ramakant Yadav (PI), Prof. Ram Mohan Vemuri (Co-PI)
    • Sponsoring Agency: Seed grant from Mahindra University, India
    • Amount granted: 5.5 Lakhs Rs.
    • Period: 2 Years
    • Status: Ongoing
    • Project Title: IoT-based real-time monitoring of power substations and blackout prediction in smart grids using deep learning techniques.
    • Name of the investigators: Dr. Neeraj Choudhary (PI), Dr. Ramakant Yadav
    • Sponsoring Agency: Seed grant from Mahindra University, India
    • Amount granted: 1.17 Lakhs Rs.
    • Period: 2 Years
    • Status: Ongoing

    Research Areas:

    • Development of Tunnel FETs for low power Digital and Ternary logic applications.
    • Semiconductor devices beyond CMOS technology.
    • A Study of the Memristors and Applications.

    She is an Assistant Professor in the Electrical and Electronics Engineering Department at Mahindra University. She has received her Ph.D. in the Discipline of Electronics Science from University of Hyderabad, Hyderabad, India in 2020. Further, her Ph.D. working area was VLSI Technology (Fabrication of Semiconductor and Microelectronics devices), during which she had an experience in fabricating and characterizing semiconductor devices and thin film growth in cleanroom (class 100 and class 1000).

    Prior to joining MU, she worked as a Visiting Researcher in University of Hyderabad for two years. Her research interests are in the area of Fabrication of Semiconductor and Microelectronics devices such as RRAM, MEMS/NEMS, and Fabrication of Flexible Electronic Devices for Neuromorphic computing applications. She is also interested in conducting research in the area of VLSI design.

    • July 2014-June 2020: Ph.D. Electronics Science – Centre for Advanced Studies in Electronics Science and Technology (CASEST), University of Hyderabad, Hyderabad.
      Thesis title: Studies on Silicon Carbide thin films fabricated by single composite target magnetron sputter deposition for Resistive Random Access Memory (RRAM) and Schottky barrier diode applications.
      Supervisors: Prof. M. Ghanashyam Krishna & Prof. G. Rajaram
    • Aug 2010 – June 2014: B.Tech in Electronics and Telematics Engineering- G.Narayanamma Institute of Technology and Science (JNTU), Hyderabad

    • P. Chaitanya Akshara, G. Rajaram, M. Ghanashyam Krishna, Characteristics of 21H-SiC thin film based Schottky barrier diodes using TiN contacts, J. Electron. Mater. (2021) doi: 10.1007/s11664-020- 08597-7
    • P. Chaitanya Akshara, Nilanjan Basu, Jayeeta Lahiri, G.Rajaram and M.Ghanashyam Krishna, Resistive Switching behaviour of amorphous Silicon Carbide thin films fabricated by a single composite magnetron sputter deposition method, Bull. Mater. Sci. 43, 123 (2020). doi:10.1007/s12034-020-02093-8
    • P. Chaitanya Akshara, M. Ghanashyam Krishna, G. Rajaram, Y.Rajesh, Nilanjan Basu, Jayeeta Lahiri, Electric Field Induced Dissociation of SiC Thin Films Leading to the Formation of Nanocrystalline Graphite, Electron. Mater. Lett. 16, 231238 (2020). doi:10.1007/s13391-020-00204-5
    • P. Chaitanya Akshara, G. Rajaram, M. Ghanashyam Krishna, Single composite target magnetron sputter deposition of crystalline and amorphous SiC thin films, Mater. Res. Express.5 (2018) 036410 doi:10.1088/2053-1591/aab3b0
    CONFERENCE PRESENTATIONS
    • P.Chaitanya Akshara, M.Ghanashyam Krishna, and G.Rajaram, Fabrication and characterization of nanostructured SiC based resistive random access memory devices, International Conference on Nanoscience and Technology (ICONSAT 2018) at Centre for Nano and Soft Matter Sciences, IISC Bengaluru during 21-23 March 2018.
    • P.Chaitanya Akshara, M.Ghanashyam Krishna, and G.Rajaram, Fabrication and characterization of SiC based resistive switching devices, International Conference on Nanoscience and Nanotechnology (ICONN 2017) at SRM university, Kattankulathur during 9-11 August 2017.
    • P.Chaitanya Akshara, V.Shankernath, M.Ghanashyam Krishna, Growth of crystalline Silicon Nitride thin film by RF Sputtering, Frontier in Physics – 2016 held at University of Hyderabad, Hyderabad during 28-29 March 2016.

    • July 2020- May 2022: Visiting Researcher in Centre for Advanced Studies in Electronics Science and Technology (CASEST), University of Hyderabad, Hyderabad. Worked on CADENCE tool for the VLSI design flow (Semi Custom Design).
    • 2015-2019: Teaching assistant for Integrated Circuit and Nano Fabrication (ICnFT) lab course, Semiconductor Processing, Characterization Simulation Lab course for M.Tech, which includes Fabrication and characterization of MESFET in cleanroom (class 100 and class 1000) and Device, process simulator for semiconductor devices using SILVACO tool.
    • Worked as a project assistant for “Development of sputtering process for deposition of TiNx Films on soft substrates” funded by UPE-II, University of Hyderabad from May 2016-May 2017.

    • Areas of Interest:
      1. Fabrication of Semiconductor and Microelectronics devices such as RRAM, MEMS/NEMS
      2. Fabrication of Flexible Electronic Devices for Neuromorphic computing applications
      3. VLSI design
    • Working Experience of fabricating and characterizing semiconductor devices and thin film growth in cleanroom (class 100 and class 1000).
    • Experience in fabrication and deposition techniques such as Optical lithography, Sputtering, Thermal evaporation, e-beam evaporation, Electron-beam lithography, characterization by device analyzer, UV-Vis-NIR spectroscopy, Profilo meter.
    • Reviewer of International Journals such as
      1. Nano Futures (IOP Publisher)
      2. Journal of Physics: Condensed Matter (IOP Publisher)

    Ph.D. (submitted thesis), looking forward to teach and guide young minds in the field of Computer Sciences and pursuing research in the fields of Wireless Sensor Networks and IoT.

    In the words of Krzysztof Kieslowski – “live more carefully”, I seek, in time, to apply my self (me / I) and technology to help in achieving UN Sustainable development goals, while also seeking ways to promote ecological consciousness and empathy towards all life.

    • Ph.D. (submitted), Computer Science, University of Hyderabad, Dec 2021 Dissertation topic: ‘Techniques for Load Reduction and Balancing in Wireless Sensor Networks’
    • M.Tech., CS, International Institute of Information Technology – Hyderabad, Jun 2009
    • B.Tech., CSIT, Vidya Jyothi Institute of Technology (JNTU-H), Jun 2007
    • Intermediate, MPC, Gowtham Junior College, Hyderabad, May 2003
    • Xth Standard, ICSE, Nalanda Public School, Hyderabad, May 2001

    • Chauhan A.A., Udgata S.K., Heuristic Approaches to Load Balancing in Internet of Things using Multiple Cluster Heads, Communicated to IEEE Sensors journal. (Under review)
    • Chauhan, A.A., Udgata, S.K. (2022) Predictive Models for Load Reduction in Wireless Sensor Networks. In: Udgata, S.K., Sethi, S., Gao, XZ. (eds) Intelligent Systems. Lecture Notes in Networks and Systems, vol 431. Springer, Singapore.
    • Chauhan A.A., Udgata S.K. (2021) Load Reduction Using Temporal modelling and Prediction in Periodic Sensor Networks. In: Udgata S.K., Sethi S., Srirama S.N. (eds) Intelligent Systems. Lecture Notes in Networks and Systems, vol 185. Springer, Singapore.
    • A.A. Chauhan and S.K.Udgata, “Process for Difference based Aggregation and Recovery,” Patent Published, Journal Number 28/2021. (July 2021)
    • Chauhan, A.A.,Udgata, S.K. Data Aggregation using Difference transfer for Load Reduction in Periodic Sensor Networks. Wireless Pers Commun 115, 1507–1524 (2020).
    • A. A. Chauhan and S. K. Udgata, “Load Balancing in Wireless Sensor Networks using Multiple Cluster Heads,” 2020 IEEE-HYDCON, 2020, pp. 1-7.

    • Teaching Assistant, University of Hyderabad, Hyderabad, Jan 2015 – Jan 2019
    • Senior Analyst, NTT Data, Hyderabad, Mar 2013 – Jul 2013
    • Software Engineer, MAQ Software, Hyderabad, Nov 2009 – Jan 2013

    Wireless Sensor Networks, Internet of Things

    Gourav Saha is an Assistant Professor in the Department of Computer Science and Engineering of Mahindra University. His broad research area is decision and control theory. He has applied tools from control theory, nonlinear programming, adversarial online algorithms, game theory, and Markov decision processes to solve various problems related to networking systems.

    • Ph.D. in Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, 2015 – 2020. Thesis title: An Optimization Approach to the Economics of Efficient Multi-Tiered Spectrum Sharing
    • MS (by research) in Electrical Engineering (Control Systems specialization), Indian Institute of Technology Madras, 2013 – 2015.
    • BE in Electronics and Instrumentation Engineering, Madras Institute of Technology, 2008 – 2012.

    • G. Saha and Alhussein A. Abouzeid, “Optimal Spectrum Partitioning and Licensing in Tiered Access under Stochastic Market Models,” in IEEE/ACM Trans. on Networking, vol. 29, pp. 1060-1073, 2021.
    • G. Saha, Alhussein A. Abouzeid, Z. Khan and M. Matinmikko, “On the Optimal Duration of Spectrum Lease in Exclusive License Markets with Stochastic Demand,” in IEEE/ACM Trans. on Networking, vol. 29, pp. 1948-1961, 2021.
    • G. Saha and Alhussein A. Abouzeid, “Optimal Joint Partitioning and Licensing of Spectrum Bands in Tiered Spectrum Access under Stochastic Market Models,” in International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, pp. 1-8, 2020.
    • G. Saha, Alhussein A. Abouzeid and M. Matinmikko, “Optimal Duration of Spectrum Lease: A Mathematical Approach,” in IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), pp. 1-10, 2018.
    • G. Saha, Alhussein A. Abouzeid and M. Matinmikko, “Online Algorithm for Leasing Wireless Channels in a Three-Tier Spectrum Sharing Framework,” in IEEE/ACM Trans. on Networking, vol. 26, pp. 2623-2636, 2018.
    • G. Saha, Alhussein A. Abouzeid and M. Matinmikko, “Competitive Online Algorithm for Leasing Wireless Channels in 3-Tier Sharing Framework,” in 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp. 792-799, 2016.
    • G. Saha and R. Pasumarthy, “Maximizing Profit of Cloud Brokers under Quantized Billing Cycles: A Dynamic Pricing Strategy Based on Ski-Rental Problem,” in 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp. 1000-1007, 2015.
    • G. Saha, R. Pasumarthy and P. Khatavkar, “Towards Analog Memristive Controllers,” in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 62, pp. 205-214, 2014.
    • D. Kannapan, G. Saha, S. Kumar and A. Gulati, “Design of the Attitude Control Subsystem of IITMSAT, a geomagnetic field pointing satellite,” in Proc. AAS/AIAA Space Flight Mechanics Meeting, 2014.
    • R. Pasumarthy, G. Saha, F. Kazi and N. Singh, “Energy and power based perspective of memristive controllers,” in 52nd IEEE Conference on Decision and Control, pp. 642-647, 2013.
    • S. Somalraju, V. Murali, G. Saha, V. Vaidehi, “Robust railway crack detection scheme (RRCDS) using LED-LDR assembly,” in International Conference on Recent Trends in Information Technology, 2012.

    • Gourav Saha is an Assistant Professor in the Department of Computer Science and Engineering of Mahindra University.
    • Postdoctoral Research Associate, School of Electrical and Computer Engineering, Purdue University, 2021 – 2022.
    • Postdoctoral Scholar, Department of Electrical Engineering, The Ohio State University, 2020 – 2021.
    • Teaching Assistant, Rensselaer Polytechnic Institute, 2017 – 2020.
    • Research Intern, IBM Research Bangalore, May 2017 – August 2017.

    My current research interests include:

    • Application of Partially Observable Markov Decision Process and Multi-Armed Bandits to Millimeter Wave Communication.
    • Addressing location privacy concerns in spectrum sharing using tools from information theory.
    • Game theoretic modeling of strategic valuation of wireless spectrum bands.

    Mr. Rahul Roy is currently working as an Assistant Professor in the department of Computer Science and Engineering at École Centrale School of Engineering, Mahindra University, Hyderabad in December 2022.

    He received his Integrated M.Sc in Computer Science and Engineering from Assam University in year 2009. In 2011, he received his M. Tech. degree in the specialization of Computer Science and Engineering at Kalinga Institute of Technology, Odisha. He is pursuing his Ph.D. program from Jadavpur University.

    He is the recipient of University Gold Medal for securing 1st class first position in Integrated M.Sc from Assam University in 2009. He has also received DST young scientist travel award in 2015 for attending Workshop organized at Field’s Institute, Toronto. In PREMI 2021 and ICAIHC 2022, he was awarded with best paper award for presenting two of his research works.

    Before joining (MU), he was working as an Assistant professor in GITAM University Hyderabad since December. 2020 and National Institute of Science and Technology, Odisha from February 2019. He worked as research fellow in various projects at Indian Statistical Institute, Kolkata before joining Visvesvaraya PhD fellowship offered by MeitY in 2016.

    His research interests include Medical Image Analysis, Computer Vision, Neurocognitive learning, Machine Learning, Natural Language Processing and Computational Intelligence.

    • Ph.D. (to be submitted soon) from Jadavpur University in Computer Science and Engineering
    • M.Tech in Computer Science and Engineering from Kalinga Institute of Technology in 2011 with 9.2 CGPA
    • Integrated M.Sc in Computer Science from Assam University in 2009
    • Higher Secondary (AISCCE) from Central Board of Secondary Education in 2004
    • Matriculation (AISSE) from Central Board of Secondary Education in 2002 with

    • Roy, R., Ghosh, S., Ghosh, A., Wang, L., & Chan, J. H. (2023). Semantic Segmentation of Cardiac Structures from USG Images Using Few-Shot Prototype Learner Guided Deep Networks. In Ambient Intelligence in Health Care pp. 251-260. Springer, Singapore. (Best Paper Award)
    • Roy, R., & Ghosh, S., Speckle De-noising with Local Oriented Structure for Edge Preservation in Ultrasound Images, 9th Pattern Recognition and Machine Intelligence, (PReMI, 2021), Kolkata, 2022 (Accepted, Best Paper Award)
    • Roy, R., Ghosh, S., & Ghosh, A.,(2018) Salient Object Detection based on Bayesian Surprise of Restricted Boltzmann Machine, 11th Indian Conference on Computer Vision, Graphics and Image Processing, No. 46, Pages 1–8 , (ICVGIP 2018), Hyderabad, 2018, doi.org/10.1145/3293353.3293399 .
    • Roy, R., Ghosh, S., Ghosh, A., Speckle de-noising of clinical ultrasound images based on fuzzy spel conformity in its adjacency. Applied Soft Computing, 73, 394-417 2018.
    • Subba, P., Ghosh, S., & Roy, R., (2017) Partitioned-Based Clustering Approaches for Single Document Extractive Text Summarization, In proceedings of International Conference on Mining Intelligence and Knowledge Exploration, pp.297-307, Hyderabad.
    • Roy, R., Ghosh, S., Cho, S. -B., & Ghosh, A.,(2017) Despeckling with Structure Preservation in Clinical Ultrasound Images Using Historical Edge Information Weighted Regularizer, In proceedings of International Conference on Mining Intelligence and Knowledge Exploration, pp. 144-155, Hyderabad.
    • Roy, R., & Ghosh, A.,(2014) Rule induction based object tracking. In proceedings of Advances in Computing, Communications and Informatics, pp. 1871 – 1875, Delhi
    • Dehuri, S., Roy, R., Cho, S. −B, Ghosh, A., An improved swarm optimized functional link artificial neural network (ISO−FLANN) for classification. Journal of Systems and Software 85(6): 1333-1345, 2012
    • Roy, R., Dehuri, S., Cho, S. −B., A novel particle swarm optimization algorithm for multi-objective combinatorial optimization problem. International Journal of Applied Metaheuristic Computing, 2(4): 41-57, 2011
    • Das, M. N., Roy, R., Dehuri, S., Cho, S. −B., A new approach to associative classification based on binary multi-objective particle swarm optimization., International Journal of Applied Metaheuristic Computing, 2(2): 51-73, 2011
    • Roy, R., Das, M.N., Dehuri, S., (2011) A Combinatorial Multi-objective Particle Swarm Optimization based Algorithm for Task Allocation in Distributed Computing Systems, In proceedings of International conference on Advanced Computing and Communication (ACC 2011), pp. 113-125, kochi
    • Dehuri, S., Roy, R., & Cho, S. -B (2011) An Adaptive Binary PSO to Learn Bayesian Classifier for Prognostic Modelling of Metabolic Syndrome, In proceedings of the 13th annual conference companion on genetic and evolutionary computation, pp. 495-502, Dublin, Ireland
    • Mishra, B., Addy, A. K., Roy, R., dehuri, S., & Cho, S. B. (2011). Parallel Multiobjective Genetic Algorithm for Associative Classification Rule Mining. In proceedings of International Conference on Communication Computing and Security (ICCCS 2011). pp. 409-414, Rourkela.
    • Mishra, B., Roy, R., Dehuri, S., & Cho, S. (2011). Serial and Parallel Genetic Based Learning Algorithm for Bayesian Classifier to Predict Metabolic Syndrome. In proceedings of the Fourth Annual ACM Bangalore Conference (COMPUTE 2011). pp. 1:1–1:6, Bangalore 2011

    • Assistant Professor in Mahindra University, Hyderabad (December, 2022 -till date)
    • Assistant Professor in Gandhi Institute of Science and Technology (December, 2020 -November, 2022)
    • Assistant Professor in National Institute of Science and Technology, Odisha, (February, 2019-November 2020)
    • Visvesvaraya Research Fellow in Indian Statistical Institute, Kolkata ( March 2016- January, 2019, Funded by: MeitY)
    • Project linked Personnel in Indian Statistical Institute in Project titled “Tracking of Moving objects from video sequence using pattern classifiers” (November, 2015- February, 2016)
    • Research Fellow in Indian Statistical Institute in Project titled “Processing and Analysis of Aircraft images with Machine Learning Techniques for Locating Objects of Interests” (August 2011- August 2015, Funded by US-Army)

    Grants:

    Rahul Roy (PI), A Computer Vision based Tool for Understanding History from Artwork and Iconography depicted in the Indian Monuments, GITAM Research Seed Grant (Grant no: 2021/0119), 2022 (Rs 1.40 lacs)

    Research Interest:

    • Medical Image Analysis
    • Computer Vision and Image Processing
    • Neurocognitive Learning
    • Machine Learning
    • Natural Language Processing
    • Computational Intelligence

    Dr. Neeraj is an Assistant Professor in the Computer Science & Engineering Department at Mahindra University École Centrale School of Engineering. He holds a Ph.D. in Computer Science and Engineering from Indian Institute of Technology Patna (March 2022). His research primarily focuses on Time Series Analysis and Data Science.

    • Indian Institute of Technology (IIT) Patna, Bihar, India, Ph.D. in Time Series Analysis, IIT Patna, 2017 – 2022
    • National Institute of Technology (NIT), Durgapur, India, Masters in Technology, Cellular Automata, NIT Durgapur, 2014 – 2016

    • Neeraj, U. Satija, and J. Mathew, R.K. Behera (2021): “A Unified Attentive Cycle-Generative Adversarial Framework for Deriving Electrocardiogram from Seismocardiogram Signal”, In IEEE Signal Processing Letters (SPL).
    • Neeraj, V. Singhal, J. Mathew, and R.K. Behera (2021): “Detection of Alcoholism Using EEG Signals and a CNN-LSTM-ATTN Network”, In Elsevier Computers in Biology and Medicine (CIBM).
    • Neeraj, J. Mathew, R. K. Behera (2021): “EMD-Att-LSTM: A Data- Driven strategy Combined with Deep Learning Framework for Short Term Power Load Forecasting”, In IEEE (SGEPRI) Journal of Modern Power System and Clean Energy (MPCE).
    • Neeraj, V. Singhal, and J. Mathew (2021): “A Deep Learning Architecture for Spatio-Temporal Feature Extraction and Alcoholism Detection”, 17th IEEE-EMBS International Conference on Biomedical and Health Informatics (IEEE BHI’21).
    • Neeraj, J. Mathew, M. Agarwal, R. K. Behera (2020): “Long Short Term Memory-Singular Spectrum Analysis based model for electric load forecasting”, In Springer Electrical Engineering.
    • Neeraj, J. Mathew, and R. K. Behera (2020): “Power Load Forecasting Based on Long Short Term Memory-Singular Spectrum Analysis”, In Springer Energy Systems.

    • Dr. Neeraj is an Assistant Professor in the Computer Science & Engineering Department at Mahindra University École Centrale School of Engineering.
    • Assistant Professor in GITAM University, Hyderabad from Feb- 2022 to Aug-2022
    • Research cum Teaching Assistant, Indian Institute of Technology Patna (July 2017 to February 2022)
    • FDP session at AICTE-ATAL Online FDP (Faculty Development Programme) on Signal Processing and Machine Learning for AI-Driven Healthcare Systems, Jun 2021
    • AICTE FDP-2020 Department of Computer Science and Engineering, JNTUA College of Engineering, Anantapur, Dec 2020
    • FDP session at DIT, RSET, Oct 2020
    • THE PROCESSING OF ONLINE FDP AT IGIT SARANG, Jun 2020
    • TA-ship in IITP-BSE PGCDABI course, Jun 2020 – Aug 2020
    • Teaching Assistant, National Institute of Technology Durgapur (July 2014 to June 2016)

    Current research interests in the areas of Data Science, Time Series Analysis, Data Visualization, Time Series Forecasting, Classification and generation, Adversarial Machine Learning.

    • Developed an IoT based mobile app and website to capture the electric load consumption data using raspberry pi and serial modbus connection.
    • Developed expertise in recording EEG signals for familiarity/non- familiarity detection of signals.
    • Developed expertise in recording EEG signals for lie detection of signals.
    • Studied the impact of attention in alcoholism detection network. Introduced two intelligent models for detecting alcoholism using time series classification.
    Make an enquiry Chat with a student